L’Axe de recherche « Nouveaux Matériaux, Systèmes Intelligents et Entreprises innovantes » organise ses travaux autour de quatre sous-axes de recherche majeurs :
La recherche de matériaux intelligents fonctionnels représente un défi majeur dans de nombreux domaines tels que l’automobile, l’aéronautique et la biomédecine. Dans ce contexte, nos chercheurs collaborent en mettant en commun leur expertise pour concevoir des métamatériaux bio-inspirés architecturés et des smart matériaux, depuis la phase de conception numérique jusqu’à l’optimisation des propriétés structurales et/ou fonctionnelles, en passant par la fabrication et la caractérisation expérimentale. Les technologies développées réunissent des compétences dans plusieurs domaines, notamment la modélisation et simulation numérique multi-échelles, la simulation par éléments finis, l’Intelligence Artificielle, l’impression additive, le smart manufacturing et les méthodes expérimentales.
Dans le cadre de la transformation numérique, la sécurité digitale joue un rôle primordial. Au sein de l’Axe ce thème englobe la cybersécurité, la sécurité des réseaux, la résilience et la cryptographie, revêtant une importance significative avec une visibilité à la fois nationale et internationale. Le deuxième thème porte sur les systèmes intelligents, qui sont des composantes essentielles de la transformation numérique. La recherche au sein de l’Axe dans ce domaine se concentre sur les interactions entre l’humain et la machine, que ce soit du point de vue visuel, audio et/ou tactile, ainsi que sur la robotique, les objets connectés, l’IoT, la réalité virtuelle, et la e-santé, en lien avec les récentes avancées de l’intelligence artificielle.
La manière d’organiser l’innovation et l’impact des innovations sur nos vies sociales, comportementales et organisationnelles revêtent une importance cruciale tant sur le plan théorique que pratique. Nos membres excellent à l’échelle internationale dans la compréhension et l’exploration du développement de nouveaux produits et processus, ainsi que dans d’autres domaines tels que la gestion des innovations technologiques, l’encouragement du talent, l’optimisation de la chaîne d’approvisionnement, la gestion avancée des entrepôts et des opérations, la promotion de marques, et l’impact qu’ils apportent aux individus, aux groupes et aux pays grâce à ces innovations. Nous avons également acquis une expertise dans le financement, le recrutement et le développement d’entreprises innovantes (entrepreneuriat et création de nouvelles entreprises).
Nous sommes très intéressés par la recherche de stratégies qui favorisent, promeuvent et gèrent les innovations dans ce monde numérisé et hyper-connecté. Nos membres se consacrent à l’étude de la stratégie numérique et de la transformation numérique, les ethnographies des phénomènes numériques (par exemple, la ludification, la blockchain, la gestion algorithmique), la psychologie dans un contexte numérique (affects et émotions dans l’espace numérique), le marketing numérique, les interactions numériques et sociales (via les dispositifs portables, la robotique, l’apprentissage profond, les jeux, etc.), ainsi que par l’analyse des modèles économiques existants et de l’évolution des entreprises innovantes.
Parmi les projets interdisciplinaires, nous incluons :
L’équipe d’enseignants-chercheurs Nouveaux Matériaux, Systèmes Intelligents et Entreprises innovantes.
L’ensemble des travaux des enseignants-chercheurs Nouveaux Matériaux, Systèmes Intelligents et Entreprises innovantes.
Charafeddine, Jinan; Shakir, Wafaa; Hamdan, Hani
ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments Proceedings Article
Dans: 2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC), IEEE, Las Vegas, NV, USA, 2025, ISBN: 2331-9860.
@inproceedings{charafeddine_3667,
title = {ESER- Machine Learning Model for Predicting RSSI of FSO Communications in Forest Environments},
author = {Jinan Charafeddine and Wafaa Shakir and Hani Hamdan},
url = {http://dx.doi.org/10.1109/CCNC54725.2025.10975867},
issn = {2331-9860},
year = {2025},
date = {2025-11-01},
booktitle = {2025 IEEE 22nd Consumer Communications & Networking Conference (CCNC)},
publisher = {IEEE},
address = {Las Vegas, NV, USA},
abstract = {This study investigates the application of machine learning (ML) algorithms to predict the received signal strength indicator (RSSI) in free space optical (FSO) communication systems operating in forest areas. FSO technology offers high data transmission rates and bandwidths, but faces challenges due to atmospheric conditions, especially in dynamic environments such as forests. Conventional empirical models often fail to accurately estimate RSSI due to the complex, non-linear nature of these environments. To address this problem, we collected a comprehensive dataset over a 12-month period, covering various atmospheric parameters such as temperature, humidity and wind speed. We evaluated several ML models - K-Nearest Neighbors (KNN), Decision Trees (DT), Random Forest (RF), Gradient Boosting Regression (GBR) and Artificial Neural Networks (ANN). In addition, we have developed a new ML model that combines RF and GBR methods and provides the best results, called ?Enhanced Stacked Ensemble Regressor? (ESER) - to determine its effectiveness in predicting RSSI. The results show that the ESER model has the lowest root mean square error (RMSE) and a high coefficient of determination (R2), demonstrating its robustness and accuracy. This study highlights the potential of ML techniques to improve the reliability of FSO links in challenging environments. It highlights directions for future work, including real-time prediction and adaptive FSO systems.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
de Grazia, Charles; Ju, Hwansung; Hermann, Peter
Foreign technological entry, intellectual property rights, and technology diffusion: Evidence from patent filings at the USPTO Proceedings Article
Dans: Academy of Management Proceedings, Copenhagen, Denmark, 2025, ISBN: NA.
@inproceedings{de_grazia_3697,
title = {Foreign technological entry, intellectual property rights, and technology diffusion: Evidence from patent filings at the USPTO},
author = {Charles de Grazia and Hwansung Ju and Peter Hermann},
url = {https://aom.org/events/annual-meeting},
issn = {NA},
year = {2025},
date = {2025-07-01},
booktitle = {Academy of Management Proceedings},
address = {Copenhagen, Denmark},
abstract = {Technology diffusion and spillovers are key drivers of both innovation and economic growth. This paper examines the role of obtaining initial intellectual property rights on international knowledge flows, specifically through new technological entrants into the United States. We find causal evidence that a foreign technological entrant's initial patent grant in the host country (the United States) increases the likelihood and frequency of international knowledge flows to local U.S. firms and other patenting entities by 29.4 and 6.9 percent, respectively, as measured using forward patent citations. We also find that an initial patent grant extends an entrant's technological presence in the host country, leading to a 29.7 percent increase in the probability that an entrant files at least one subsequent patent application within 5 years. These effects are consistent with the prior literature, which suggests that interfirm knowledge flows may be facilitated by increasing local engagement opportunities with local firms. Overall, initial intellectual property rights appear to mitigate impediments to cross-border knowledge flows and the benefits of this outweigh frictions arising from the exclusionary nature of the patents.},
note = {27/07/2025 au 29/07/2025},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Laverne, Floriane; ALLPORT, Rebecca; Lebon, Nicolas
Cobotized intra-oral digitization: a preliminary study Proceedings Article
Dans: 19ème colloque national, Pôle S.mart Rhône-Alpes Ouest Vogüé, France, 2025.
@inproceedings{laverne_3355,
title = {Cobotized intra-oral digitization: a preliminary study},
author = {Floriane Laverne and Rebecca ALLPORT and Nicolas Lebon},
url = {https://s-mart2025.sciencesconf.org/},
year = {2025},
date = {2025-05-01},
booktitle = {19ème colloque national},
address = {Vogüé, France},
edition = {19ème},
organization = {Pôle S.mart Rhône-Alpes Ouest},
abstract = {This article investigates the potential of using a collaborative robot (cobot) to perform intra-oral scanning for dental applications. In a field where intra-oral scanners (IOS) have revolutionized dental restorations by offering enhanced digital accuracy and patient comfort, manual operation remains highly dependent on the operator's skill. This dependency can lead to inconsistencies in scan quality and may increase the risk of musculoskeletal disorders due to repetitive movements and awkward postures. This study thus explores whether a cobotized approach could reduce operator bias, improve repeatability, and ultimately serve as a valuable teaching tool in dental training.
The experimental setup involves a standardized mandibular model based on a 3D-printed anatomical reference. The model is fixed in an articulator simulating an average 45 mm mouth opening to mimic in-vivo conditions. A Dexis IS3800 wireless IOS, chosen for its compact design and ease of use, is mounted on a UR5e cobot fitted with an adaptive gripper. Two scanning trajectories are tested. The first, called the OVL (occlusal-vestibular-lingual) pathway, entails a continuous movement where the scanner first covers the occlusal surface, then the vestibular side, and finally the lingual side of the mandible. The second, the S-shape pathway, involves scanning the three surfaces for each tooth sequentially before moving to the next. To optimize the scanning process and ensure smooth trajectories, a virtual twin of the experimental setup is created using RoboDK. This digital simulation aids in adjusting the scanner's position and orientation while preventing collisions and identifying any non-visible areas that require further attention.
For comparison, an experienced practitioner performed manual scans using the OVL pathway under identical experimental conditions. The resulting STL files from both cobotized and manual scans were then analyzed with Zeiss Inspect optical 3D software. The evaluation focused on metrics such as the number of vertices, facets, and the total digitized surface area. In addition, the study introduced two quantitative criteria: the ratio (Rmesh) of the valid scanned area to the nominal mesh and the weighted normalized distance (wND), which measures the volumetric deviation between the scanned and nominal meshes. Although the manual scans produced a slightly larger digitized surface?attributed to the operator's real-time feedback?the cobotized scans exhibited higher point density and lower variability. In terms of accuracy, manual scanning demonstrated marginally better results, but the difference in wND between the two methods was less than 10 µm, a discrepancy deemed clinically acceptable.
Overall, the study suggests that while manual scanning may benefit from immediate corrective actions, the cobotized approach offers superior consistency and repeatability. With further optimization in scanner positioning and pathway refinement, cobotized intra-oral digitization shows promise for reducing operator-related errors and fatigue in dental practices, as well as enhancing dental education.},
note = {19ème colloque national "Recherche et enseignement agiles pour une industrie soutenable"
12 mai 2025 au jeudi 15 mai midi},
keywords = {},
pubstate = {accepted},
tppubtype = {inproceedings}
}
Xiao, Xiao; Noh, Hayoun; Lefevre, Adrien; Li, Lucy; McKee, Holly; Algargoosh, Alaa; Ishii, Hiroshi
ReMirrorFugue: Examining the Emotional Experience of Presence and (Illusory) Communications Across Time Proceedings Article
Dans: Proceedings of CHI '25: CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery, New York, NY, United States, 2025, ISBN: NA.
@inproceedings{xiao_3558,
title = {ReMirrorFugue: Examining the Emotional Experience of Presence and (Illusory) Communications Across Time},
author = {Xiao Xiao and Hayoun Noh and Adrien Lefevre and Lucy Li and Holly McKee and Alaa Algargoosh and Hiroshi Ishii},
issn = {NA},
year = {2025},
date = {2025-04-01},
booktitle = {Proceedings of CHI '25: CHI Conference on Human Factors in Computing Systems},
publisher = {Association for Computing Machinery},
address = {New York, NY, United States},
abstract = {This paper examines how strategies for simulating social presence across distance can evoke a sense of presence and facilitate illusory interactions across time. We conducted a mixed-methods study with 28 participants, exploring their emotional experience of interacting with decade-old recorded piano performances on MirrorFugue---a player piano enhanced with life-sized projections of the pianist's hands and body, creating the illusion of a virtual reflection playing the instrument. Data were collected via wearable sensors, questionnaires, and interviews.
Results showed that participants felt a strong presence of past pianists, with some experiencing the illusion of two-way communication and an overall increase in connection. The emotional experience was significantly influenced by the participant's relationship with the recorded pianist and the pianist's vital status. These findings suggest that telepresence technologies can foster connections with the past, offering spaces for memory recall, self-reflection, and a sense of ?time travel.?},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Wang, Zhiqiang; ZHU, Ni; He, Ruiwen
GNSS Non-Line-of-Sight (NLOS) Error Repairing in Challenging Urban Environments with Channel Attention and Inception-based Deep Learning Proceedings Article
Dans: Dr. Prof., Sergey Y. Yurish (Ed.): 7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025), IFSA Publishing, S. L., Innsbruck, Austria, 2025, ISBN: 978-84-09-71189-5.
@inproceedings{wang_3639,
title = {GNSS Non-Line-of-Sight (NLOS) Error Repairing in Challenging Urban Environments with Channel Attention and Inception-based Deep Learning},
author = {Zhiqiang Wang and Ni ZHU and Ruiwen He},
editor = {Prof., Dr., Sergey Y. Yurish},
url = {http://dx.doi.org/10.13140/RG.2.2.14725.46566},
issn = {978-84-09-71189-5},
year = {2025},
date = {2025-04-01},
booktitle = {7th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI' 2025)},
publisher = {IFSA Publishing, S. L.},
address = {Innsbruck, Austria},
abstract = {Global Navigation Satellite Systems (GNSS) provide absolute positioning for a wide range of applications. However, their performance can be severely degraded due to multipath and Non-Line-of-Sight (NLOS) receptions caused by surrounding environments, particularly in urban canyons. The traditional statistic-based mitigation methods encounter bottlenecks since the errors from these local effects are difficult to model accurately using existing distributions. To handle this issue, this paper proposes a deep-learning framework to estimate the additional distances of the range measurements caused by NLOS receptions. The customized architecture involves four main modules: a non-linear data transformation to rescale the data, a channel attention mechanism to weigh different features, a generative Convolutional Neural Network (CNN) network to augment the feature map, and an inception module to enhance the feature extraction from a multi-hierarchical level. The model was trained and tested with real urban GNSS data, which shows promising results, achieving an RMSE of 6.76 m and a 75% prediction error of 0.71 m, demonstrating higher accuracy than the current state-of-the-art.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Falih, Mohanaed Ajmi; Ali, Nidaa Ghalib; Alshabeeb, Israa Ali; Shakir, Wafaa; Charafeddine, Jinan
Congregate: Enhancing communication sensor with concentration grid Proceedings Article
Dans: 3RD INTERNATIONAL CONFERENCE ON MATHEMATICS, AI, INFORMATION AND COMMUNICATION TECHNOLOGIES: ICMAICT2023, AIP Publishing, Erbil, Iraq, 2025, ISBN: 0094-243X.
@inproceedings{ajmi_falih_3485,
title = {Congregate: Enhancing communication sensor with concentration grid},
author = {Mohanaed Ajmi Falih and Nidaa Ghalib Ali and Israa Ali Alshabeeb and Wafaa Shakir and Jinan Charafeddine},
url = {https://pubs.aip.org/aip/acp/issue/3264/1},
issn = {0094-243X},
year = {2025},
date = {2025-03-01},
booktitle = {3RD INTERNATIONAL CONFERENCE ON MATHEMATICS, AI, INFORMATION AND COMMUNICATION TECHNOLOGIES: ICMAICT2023},
volume = {3264},
number = {1},
publisher = {AIP Publishing},
address = {Erbil, Iraq},
abstract = {Network-based aggregation algorithms are well known because of their efficiency in terms of fast processing
time. On the other hand, when dealing with arbitrary-shaped data sets, density-based methods are often the best options.
Wireless sensor networks (WSNs) are extraordinary networks corresponding to units in extensive numbers or spatial
distributions. The number of sensors' functionality cooperates in imitation of bringing about the common tasks. Clustering
is one of the positive strategies in attempting to clear up the trouble of power blasting. A grid-based cluster has validated
its affectivity specifically because of its highly brawny network. The gird strategy aged in this paper is applied concerning
solid community or dividing the network vicinity of multiple grid cells together with distinct densities. Then, the grid is
blended to form clusters like ordinary and superior clusters. Each one of the clusters chooses its cluster head (CH) entirely
depending on big energy. The latter advised using MATLAB for implementing as well as testing the approach. The results
demonstrate how effectively such a suggestion method works at a hundred and fifty node WSNs, followed by grid sizes of
5-10 items where the network lives for around a second.},
note = {conf du 27-28 April 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Tartoussi, Bouchra; Tartoussi, Najah; Altayebrrafei, Baraa; Charafeddine, Jinan; Shakir, Wafaa; Chendeb, Nancy
Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability Proceedings Article
Dans: 2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM), IEEE, Liban, 2025.
@inproceedings{tartoussi_3597,
title = {Optimizing FSO System Performance: Integrating Machine Learning for Security and Reliability},
author = {Bouchra Tartoussi and Najah Tartoussi and Baraa Altayebrrafei and Jinan Charafeddine and Wafaa Shakir and Nancy Chendeb},
url = {http://dx.doi.org/10.1109/MENACOMM62946.2025.10911027},
year = {2025},
date = {2025-03-01},
booktitle = {2025 5th IEEE Middle East and North Africa Communications Conference (MENACOMM)},
publisher = {IEEE},
address = {Liban},
abstract = {Free-space optical (FSO) communication is critical to next-generation data networks as it enables high data throughput without the frequency limitations of radio communication systems. However, the reliability and security of these systems can be severely compromised by environmental factors such as misalignment and unfavorable atmospheric conditions. This paper presents an innovative study using machine learning to analyze and optimize the trade-off between security and reliability in FSO communications. Utilizing a Meta Model approach, we systematically examine the impact of key operational parameters?such as signal strength, atmospheric turbulence, and alignment precision?on system performance. The results show that our approach can significantly improve the prediction of reliability and security, enabling more effective management of FSO transmission resources. This study opens new avenues for developing more robust and secure wireless optical communication systems by leveraging the potential of machine learning methods to address the challenges associated with FSO environments comprehensively.},
keywords = {},
pubstate = {online},
tppubtype = {inproceedings}
}
Gharib, Saeed; Charafeddine, Jinan; Haddad, Samir; Dornaika, Fadi
Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture Proceedings Article
Dans: 2024 International Conference on Computer and Applications (ICCA), IEEE, Cairo, 2025, ISBN: 979-8-3503-6757-7.
@inproceedings{gharib_3616,
title = {Enhancing Medical Image Classification with Streamlined-EvidNet: A Robust Neural Network Architecture},
author = {Saeed Gharib and Jinan Charafeddine and Samir Haddad and Fadi Dornaika},
url = {http://dx.doi.org/10.1109/ICCA62237.2024.10928015},
issn = {979-8-3503-6757-7},
year = {2025},
date = {2025-03-01},
booktitle = {2024 International Conference on Computer and Applications (ICCA)},
publisher = {IEEE},
address = {Cairo},
abstract = {Accurate classification of medical images is crucial for automated analysis and disease diagnosis. Traditional deep learning methods often struggle with challenges such as variations in image quality and imbalanced datasets, leading to diagnostic errors. This study introduces an advanced framework that integrates contrastive learning, ResNet architectures, and Bayesian methods to enhance the accuracy and reliability of medical image classification, with a focus on heart disease detection. Contrastive learning enhances the model's capability to differentiate between similar and dissimilar image pairs, thereby reducing the challenges posed by imbalanced datasets. ResNet architectures provide robust feature extraction, while Bayesian methods offer probabilistic interpretations, addressing uncertainty in predictions. Our comprehensive evaluation demonstrates significant improvements in classification performance, positioning this approach as a promising tool for clinical applications in radiology. The proposed framework effectively overcomes challenges associated with variable image quality and imbalanced datasets, contributing to improved diagnostic accuracy and reliability in cardiovascular disease detection.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Venkateswaran, Swaminath; Charafeddine, Jinan
A Human-Robot Interaction Platform for Operator Well-Being: A Case-Study Proceedings Article
Dans: ASME International Mechanical Engineering Congress and Exposition, American Society of Mechanical Engineers, Portland, Oregon, United States, 2025, ISBN: 978-0-7918-8859-9.
@inproceedings{venkateswaran_3329,
title = {A Human-Robot Interaction Platform for Operator Well-Being: A Case-Study},
author = {Swaminath Venkateswaran and Jinan Charafeddine},
url = {http://dx.doi.org/10.1115/IMECE2024-147259},
issn = {978-0-7918-8859-9},
year = {2025},
date = {2025-01-01},
booktitle = {ASME International Mechanical Engineering Congress and Exposition},
publisher = {American Society of Mechanical Engineers},
address = {Portland, Oregon, United States},
abstract = {This article presents a Human-Robot Interaction (HRI) platform for the assembly process of a condensate pump. An ergonomic analysis using the Rapid Upper Limb Assessment (RULA) is carried out using a simulation package to identify the fatigue levels in the upper-arm region during the assembly process of the pump. From the operator feedback and the RULA score, an HRI platform using a collaborative robot (cobot) is proposed for the assembly process. Based on complexity and dexterity, the screwdriving operation was assigned to the cobot. The RULA analysis was revisited for this platform and it showed an improvement in the ergonomic scores from 7 to 3. The magnitude of fatigue imposed on the upper-arm was then analyzed experimentally using Electromyography (EMG) sensors. By using the Support Vector Machine (SVM) technique, the fatigue levels were interpreted before and after the implementation of the HRI platform. The results suggest that the HRI platform helps to mitigate musculoskeletal problems in the future, thereby promoting a healthier and safer worker environment. By exploiting the capabilities of a cobot, a synergy between humans and automation technologies can be achieved, leading to a sustainable and ergonomic future in manufacturing.},
note = {PDF cannot be uploaded due to copyrights
November 17-21, 2024
IMECE 2024},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Akrache, Radouane; Shakir, Wafaa; Charafeddine, Jinan
Enhancing Prosthetic and Orthopedic Support Devices Through Advanced Composite Material Assembly and Design Optimization Proceedings Article
Dans: Volume 4: Biomedical and Biotechnology Engineering, American Society of Mechanical Engineers, Portland, Oregon, USA, 2025, ISBN: Paper No: IMECE2024-147261, V004T06A044; 7 pages.
@inproceedings{akrache_3403,
title = {Enhancing Prosthetic and Orthopedic Support Devices Through Advanced Composite Material Assembly and Design Optimization},
author = {Radouane Akrache and Wafaa Shakir and Jinan Charafeddine},
url = {http://dx.doi.org/10.1115/IMECE2024-147261},
issn = {Paper No: IMECE2024-147261, V004T06A044; 7 pages},
year = {2025},
date = {2025-01-01},
booktitle = {Volume 4: Biomedical and Biotechnology Engineering},
publisher = {American Society of Mechanical Engineers},
address = {Portland, Oregon, USA},
abstract = {The landscape of medical technology, particularly in prosthetics and orthopedic supports, is on the cusp of a transformation driven by integrating advanced composite materials such as carbon fiber. This paper presents a novel approach to the assembly of these materials, focusing on the development and optimization of smooth inserts tailored to medical applications. To overcome the limitations of conventional assembly methods, this study investigates the geometric optimization of inserts to improve the mechanical performance and durability of composite medical devices. Through a combination of theoretical modeling, simulation, and empirical testing, we demonstrate the potential of our approach to significantly improve device reliability, leak-tightness, and patient comfort. The work highlights the importance of advanced assembly techniques to fully exploit the capabilities of composite materials. It offers a route to medical devices that are not only functionally superior but also better suited to the needs of the user. Our results promise a new generation of prostheses and orthopedic supports that better integrate with human physiology and represent a significant step forward in patient-centered care.},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Charafeddine, Jinan; Hamdan, Hani; Shakir, Wafaa; Athmani, Ikram
Machine Learning-Enhanced Biomechanical Analysis for Robotic Rehabilitation Proceedings Article
Dans: 49th congress of Société de Biomécanique, Compiegne, 2025.
@inproceedings{charafeddine_3404,
title = {Machine Learning-Enhanced Biomechanical Analysis for Robotic Rehabilitation},
author = {Jinan Charafeddine and Hani Hamdan and Wafaa Shakir and Ikram Athmani},
url = {https://mbj.episciences.org/14512/pdf},
year = {2025},
date = {2025-01-01},
booktitle = {49th congress of Société de Biomécanique},
address = {Compiegne},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}
Yuan, Zhe
Should Robotic Warehouses Consider Customer Fairness? Divers
FNEGE Médias, Podcast, 2025.
@misc{yuan_3763,
title = {Should Robotic Warehouses Consider Customer Fairness?},
author = {Zhe Yuan},
url = {https://fnege-medias.fr/podcast/should-robotic-warehouses-consider-customer-fairness/},
year = {2025},
date = {2025-06-01},
howpublished = {FNEGE Médias, Podcast},
note = {Robotic warehouses have transformed logistics, prioritizing speed and efficiency. However, traditional static priority systems often leave low-priority customers facing excessive delays, raising concerns about fairness. This research, based on Invia, a robotic warehouse company, proposes a dynamic priority allocation model to balance efficiency and fairness. By adjusting order priorities over time, this approach ensures that both high-priority and long-waiting low-priority orders receive timely fulfillment. Through stochastic modeling and simulations, we demonstrate that dynamic prioritization reduces delays compared to static and first-come, first-served (FCFS) models. Case studies in e-commerce and healthcare logistics illustrate the broader impact of fairness in automation. As industries increasingly rely on AI-driven decision-making, the balance between efficiency and equity becomes critical. This research challenges the assumption that robotic warehouses should optimize for speed alone and advocates for a future where fairness plays a central role in automated commerce.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Yuan, Zhe; Toufaily, Elissar; Khelladi, Insaf
Crypto-art et marché : les NFT, révolution ou mirage ? Divers
The Conversation, 2025.
@misc{yuan_3641,
title = {Crypto-art et marché : les NFT, révolution ou mirage ?},
author = {Zhe Yuan and Elissar Toufaily and Insaf Khelladi},
url = {https://theconversation.com/crypto-art-et-marche-les-nft-revolution-ou-mirage-253756},
year = {2025},
date = {2025-04-01},
howpublished = {The Conversation},
note = {Alors que la Paris Blockchain Week, du 8 au 10 avril 2025, s'apprête à explorer les dernières tendances du Web3, la place des jetons non fongibles, ou NFT, dans l'art physique suscite encore des débats. Entre innovation, spéculation et défis juridiques, ces actifs numériques redéfinissent-ils la propriété artistique ou restent-ils une bulle incertaine ?},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Navazhylava, Kseniya
The impact of legal uncertainties on innovating HR practices in developing countries Divers
FNEGE Médias, Video, 2025.
@misc{navazhylava_3765,
title = {The impact of legal uncertainties on innovating HR practices in developing countries},
author = {Kseniya Navazhylava},
url = {https://fnege-medias.fr/fnege-video/the-impact-of-legal-uncertainties-on-innovating-hr-practices-in-developing-countries/},
year = {2025},
date = {2025-04-01},
howpublished = {FNEGE Médias, Video},
note = {This study explores the influence of legal uncertainties on the process of innovating human resources (HR) practices in developing countries. Through a case study focused on introducing remote work within Kazakhstan's Technical Gas Industry during a healthcare crisis, we examine the multifaceted challenges and opportunities that emerge when navigating a complex legal landscape. Our findings reveal that legal uncertainties, stemming from inadequacies in legislation and the tightness of norms, significantly impede the ability to adapt and modernize HR practices during crises. Furthermore, the criticality of the company's position within the industry, combined with a low degree of legal enforcement, underscores the concept of ?responsibilization' among HR professionals. This phenomenon compels HR practitioners to assume greater responsibility and make strategic decisions that occasionally push the boundaries of existing laws and regulations. In this context, we propose a novel conceptualization of responsibilization, distinct from empowerment, as it involves embracing negative legal consequences associated with proactive decision-making during crises. This study contributes significantly to our understanding of how legal uncertainties influence the process of HR innovation in developing countries, highlighting the intricate interplay between regulatory frameworks, crisis management, and organizational transformation.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Navazhylava, Kseniya
The impact of legal uncertainties on innovating HR practices in developing countries Divers
FNEGE Médias, Podcast, 2025.
@misc{navazhylava_3767,
title = {The impact of legal uncertainties on innovating HR practices in developing countries},
author = {Kseniya Navazhylava},
url = {https://fnege-medias.fr/fnege-video/the-impact-of-legal-uncertainties-on-innovating-hr-practices-in-developing-countries/},
year = {2025},
date = {2025-04-01},
howpublished = {FNEGE Médias, Podcast},
note = {This study explores the influence of legal uncertainties on the process of innovating human resources (HR) practices in developing countries. Through a case study focused on introducing remote work within Kazakhstan's Technical Gas Industry during a healthcare crisis, we examine the multifaceted challenges and opportunities that emerge when navigating a complex legal landscape. Our findings reveal that legal uncertainties, stemming from inadequacies in legislation and the tightness of norms, significantly impede the ability to adapt and modernize HR practices during crises. Furthermore, the criticality of the company's position within the industry, combined with a low degree of legal enforcement, underscores the concept of ?responsibilization' among HR professionals. This phenomenon compels HR practitioners to assume greater responsibility and make strategic decisions that occasionally push the boundaries of existing laws and regulations. In this context, we propose a novel conceptualization of responsibilization, distinct from empowerment, as it involves embracing negative legal consequences associated with proactive decision-making during crises. This study contributes significantly to our understanding of how legal uncertainties influence the process of HR innovation in developing countries, highlighting the intricate interplay between regulatory frameworks, crisis management, and organizational transformation.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Josserand, Emmanuel; Sturdy, Andrew
Comment l'Australie a réduit les coûts (et l'influence) des cabinets de conseil Divers
The Conversation, 2025.
@misc{josserand_3469,
title = {Comment l'Australie a réduit les coûts (et l'influence) des cabinets de conseil},
author = {Emmanuel Josserand and Andrew Sturdy},
url = {https://theconversation.com/comment-laustralie-a-reduit-les-couts-et-linfluence-des-cabinets-de-conseil-249749},
year = {2025},
date = {2025-03-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Josserand, Emmanuel; Sturdy, Andrew
The Conversation, 2025.
@misc{josserand_3620,
title = {How Australia's government is spending less on consultants - and trying to rebuild the public service},
author = {Emmanuel Josserand and Andrew Sturdy},
url = {https://theconversation.com/how-australias-government-is-spending-less-on-consultants-and-trying-to-rebuild-the-public-service-252748},
year = {2025},
date = {2025-03-01},
howpublished = {The Conversation},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Josserand, Emmanuel
L'utilisation des médias sociaux pour l'innovation ouverte Divers
FNEGE Médias, Video, 2025.
@misc{josserand_3399,
title = {L'utilisation des médias sociaux pour l'innovation ouverte},
author = {Emmanuel Josserand},
url = {https://fnege-medias.fr/fnege-video/lutilisation-des-medias-sociaux-pour-linnovation-ouverte/},
year = {2025},
date = {2025-02-01},
howpublished = {FNEGE Médias, Video},
note = {Notre recherche montre que les entreprises qui sont a? me?me d'exploiter pleinement le potentiel des re?seaux sociaux pour l'innovation ouverte doivent adopter une approche holistique. Cela implique une strate?gie d'innovation claire et reposant sur une approche collaborative mais aussi un investissement suffisant pour permettre un engagement de toute l'entreprise. Cet engagement est aussi ne?cessaire pour de?passer les barrie?res initiales a? l'adoption. Si un tel engagement n'est pas possible, une approcheminimaliste, focalise?e sur la fonction marketing peut se justifier mais n'a que peu d'effet sur l'innovation. En revanche, les strate?gies interme?diaires risquent de voir l'entreprise enlise?e dans une logique couteuse et peu productive.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Josserand, Emmanuel
L'utilisation des médias sociaux pour l'innovation ouverte Divers
FNEGE Médias, Podcast, 2025.
@misc{josserand_3400,
title = {L'utilisation des médias sociaux pour l'innovation ouverte},
author = {Emmanuel Josserand},
url = {https://fnege-medias.fr/podcast/lutilisation-des-medias-sociaux-pour-linnovation-ouverte/
https://podcasts.apple.com/fr/channel/fnege-medias/id6467880305
https://open.spotify.com/show/28srv5kXAHJpcnivPLupsh},
year = {2025},
date = {2025-02-01},
howpublished = {FNEGE Médias, Podcast},
note = {Notre recherche montre que les entreprises qui sont a? me?me d'exploiter pleinement le potentiel des re?seaux sociaux pour l'innovation ouverte doivent adopter une approche holistique. Cela implique une strate?gie d'innovation claire et reposant sur une approche collaborative mais aussi un investissement suffisant pour permettre un engagement de toute l'entreprise. Cet engagement est aussi ne?cessaire pour de?passer les barrie?res initiales a? l'adoption. Si un tel engagement n'est pas possible, une approcheminimaliste, focalise?e sur la fonction marketing peut se justifier mais n'a que peu d'effet sur l'innovation. En revanche, les strate?gies interme?diaires risquent de voir l'entreprise enlise?e dans une logique couteuse et peu productive.},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Venkateswaran, Swaminath
Vers une adoption massive des robots dans les PME/TPE? Divers
Be a boss, 2025.
@misc{venkateswaran_3595,
title = {Vers une adoption massive des robots dans les PME/TPE?},
author = {Swaminath Venkateswaran},
url = {https://www.beaboss.fr/Thematique/digital-innovation-1074/intelligence-artificielle-2023/Breves/adoption-massive-robots-pmetpe-467822.htm},
year = {2025},
date = {2025-02-01},
howpublished = {Be a boss},
keywords = {},
pubstate = {published},
tppubtype = {misc}
}
Aloosh, Arash; Li, Jiasun
Direct Evidence of Bitcoin Wash Trading Article de journal
Dans: Management Science, vol. 70, no. 12, p. 8875-8921, 2024.
@article{aloosh_2899,
title = {Direct Evidence of Bitcoin Wash Trading},
author = {Arash Aloosh and Jiasun Li},
url = {https://pubsonline.informs.org/doi/abs/10.1287/mnsc.2021.01448?af=R},
year = {2024},
date = {2024-12-01},
journal = {Management Science},
volume = {70},
number = {12},
pages = {8875-8921},
abstract = {We use the internal trading records of a major Bitcoin exchange leaked by hackers to detect
and characterize wash trading ? a type of market manipulation in which a single trader clears
her own limit orders to ?cook? transaction records. Our finding provides direct evidence for
the widely-suspected ?fake volume? allegation against cryptocurrency exchanges, which has
so far only been backed by indirect estimation. We then use our direct evidence to evaluate
various indirect techniques for detecting the presence of wash trades and find measures based on
Benford's law, trade size clustering, lognormal distributions, and structural breaks to be useful,
while ones based on power law tail distributions to give opposite conclusions. We also provide
suggestions to effectively apply various indirect estimation techniques.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Eleuchi, Slim Ben; Shiri, Seddik; Guerich, Mohamed
Effect of friction coefficients and extrapolation laws on springback prediction of HSLA420 Steel Article de journal
Dans: International Journal of Mechanics and Control, vol. 25, no. 2, p. 39-45, 2024.
@article{ben_eleuchi_2941,
title = {Effect of friction coefficients and extrapolation laws on springback prediction of HSLA420 Steel},
author = {Slim Ben Eleuchi and Seddik Shiri and Mohamed Guerich},
url = {http://www.jomac.it/index.php?id=2024b_05},
year = {2024},
date = {2024-12-01},
journal = {International Journal of Mechanics and Control},
volume = {25},
number = {2},
pages = {39-45},
abstract = {The high strength steels are widely used especially for the metal stamping. This process could have important differences with the desired geometry due to the springback phenomenon. The numerical simulation of the stamping and springback is widely adopted in automotive industry. The accurateness is highly dependent on numerical techniques as well as process parameters. Among the parameters that affect the precision, we can mention: the bending radius-thickness ratio, the friction coeffcients, the yield loci, the finite element formulation, the damage ... In this work, the effects of friction coefficients and the extrapolation laws on springback numerical prediction are investigated. The accuracy of this work is demonstrated through the industrial stamping process of an automotive part with High-Strength low-alloy steel HSLA420. The numerical results are obtained with the Pam-stamp 2G. It was shown that the extrapolations of the laws have the same order of influence as the friction coefficients},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Ahmed, Farooq; Naqshbandi, M. Muzamil; Waheed, Mehwish; Ul-Ain, Noor
Digital leadership and innovative work behavior: impact of LMX, learning orientation and innovation capabilities Article de journal
Dans: Management Decision, vol. 62, no. 11, p. 3607-3632, 2024.
@article{ahmed_3081,
title = {Digital leadership and innovative work behavior: impact of LMX, learning orientation and innovation capabilities},
author = {Farooq Ahmed and M. Muzamil Naqshbandi and Mehwish Waheed and Noor Ul-Ain},
url = {https://www.emerald.com/insight/content/doi/10.1108/MD-04-2023-0654/full/html},
year = {2024},
date = {2024-12-01},
journal = {Management Decision},
volume = {62},
number = {11},
pages = {3607-3632},
abstract = {Purpose - Grounded in the Social Exchange theory, this study focuses on the perception of digital leadership
and innovative work behaviors. It also examines the complex effects of leader-member exchange, learning
orientation, and innovation capabilities.
Design/methodology/approach - We undertake a quantitative approach using a two-wave longitudinal
field survey of 440 employees and managers from various backgrounds working in the automobile industry in
France.
Findings - The findings based on Structural Equation Modeling reveal that the perception of digital
leadership leads to innovative work behavior while leader-member exchange moderates between the
perception of digital leadership and learning orientation. The findings also support the mediating roles of
learning orientation and innovation capabilities.
Originality/value - The study contributes important policy suggestions, raises queries for additional
investigation, and suggests theoretical and practical implications for leadership and organizational
environmental factors to foster innovative work behaviors in organizations.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Zhang, Zhengmin; Gong, Yeming; Yuan, Zhe; Chen, Wanying
Robotic warehouse systems considering dynamic priority Article de journal
Dans: Transportation Research Part E-Logistics And Transportation Review, vol. 192, p. 103779, 2024.
@article{zhang_3170,
title = {Robotic warehouse systems considering dynamic priority},
author = {Zhengmin Zhang and Yeming Gong and Zhe Yuan and Wanying Chen},
url = {https://www.sciencedirect.com/science/article/pii/S1366554524003703?via%3Dihub},
year = {2024},
date = {2024-12-01},
journal = {Transportation Research Part E-Logistics And Transportation Review},
volume = {192},
pages = {103779},
abstract = {The research proposes a new methodological framework based on dynamic priority to handle different order classes in robotic warehouse systems. Traditional static priority methods in facility logistics may cause low-priority orders to experience excessive delays and fail to ensure fairness. Our dynamic priority approach addresses this fairness issue by adjusting priorities over time to fulfill orders within promised times, ensuring both high-priority orders and long-waiting low-priority orders receive timely attention. We present stochastic models of dynamic priority queueing networks to describe warehouse systems and estimate throughput times. Experiments validate the analytical stochastic models, and experimental results indicate that the dynamic priority model achieves shorter delay times than the static priority model and the FCFS model. We propose design insights based on experimental results and provide an approach to select the optimal robot number. Furthermore, by employing a fairness index, we develop a new decision support tool for determining warehouse configurations with requested performance objectives. Experimental results demonstrate that dynamic priority can ensure fairness across a wider range of scenarios. Additionally, with insufficient pickers, the system performs better with the put wall than without it.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chaabene, Ameni; Elechi, Slim Ben; Chatti, Sami; Guerich, Mohamed; Khalifa, Ated Ben
Experimental Investigation of the Influence of Process Parameters on the Mechanical Properties of Maraging Steel Produced by Electron Beam Melting Article de journal
Dans: International Journal Of Advanced Manufacturing Technology, vol. 135, p. 3865-3882, 2024.
@article{chaabene_3194,
title = {Experimental Investigation of the Influence of Process Parameters on the Mechanical Properties of Maraging Steel Produced by Electron Beam Melting},
author = {Ameni Chaabene and Slim Ben Elechi and Sami Chatti and Mohamed Guerich and Ated Ben Khalifa},
url = {https://link.springer.com/article/10.1007/s00170-024-14731-0#citeas},
year = {2024},
date = {2024-12-01},
journal = {International Journal Of Advanced Manufacturing Technology},
volume = {135},
pages = {3865-3882},
abstract = {Maraging steels are used in industries that require high precision due to their exceptional mechanical properties. This paper
presents the impact of ten process parameters on the mechanical properties of maraging steel produced via electron beam
melting (EBM). The parameters studied here include printing orientation, scanning speed, beam power, beam diameter,
line offset, layer thickness, scan strategy, number of contours, preheating temperature, and post-processing. The mechanical
properties evaluated are tensile strength, strain at fracture, elongation at failure, energy density, material hardness, porosity,
and surface morphology. The results showed a significant correlation between these mechanical properties and the EBM
parameters. The highest ultimate tensile stress, determined from the tensile test, was recorded at 1491.51 MPa, corresponding
to an energy density of 64.28 J/mm3. The optimal parameters were identified as a line offset of 0.1 mm, a layer thickness
of 50 ?m, a scanning speed of 2800 mm/s, and a beam power of 15 mA. The energy density during EBM in turn affected
microstructure, porosity, and mechanical properties. Furthermore, the study revealed that aging heat treatment had a considerable
impact on the mechanical properties, with the highest tensile strength observed for a sample that had undergone
aging at 460 °C for 8 h. The results show the critical role of process parameters and aging heat treatment in achieving optimal
mechanical properties in EBM-produced maraging steel M789. These findings contribute to the optimization of this
manufacturing technique for industrial applications.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Kadri, Mohammed; Boubakri, Fatima Ezzahra; Teo, Timothy; Kaghat, Fatima Zahra; Azough, Ahmed; Zidani, Khalid Alaoui
Virtual reality in medical education: Effectiveness of Immersive Virtual Anatomy Laboratory (IVAL) Compared to traditional learning approaches Article de journal
Dans: Displays, vol. 85, p. 102870, 2024.
@article{kadri_3203,
title = {Virtual reality in medical education: Effectiveness of Immersive Virtual Anatomy Laboratory (IVAL) Compared to traditional learning approaches},
author = {Mohammed Kadri and Fatima Ezzahra Boubakri and Timothy Teo and Fatima Zahra Kaghat and Ahmed Azough and Khalid Alaoui Zidani},
url = {https://www.sciencedirect.com/science/article/pii/S0141938224002348?via%3Dihub},
year = {2024},
date = {2024-12-01},
journal = {Displays},
volume = {85},
pages = {102870},
abstract = {Immersive Virtual Anatomy Laboratory (IVAL) is an innovative learning tool that combines virtual reality and serious games elements to enhance anatomy education. This experimental study compares IVAL with traditional learning methods in terms of educational effectiveness and user acceptance. An experimental design was implemented with 120 undergraduate health-science students, randomly assigned to two groups: an experimental group using IVAL, and a control group following traditional learning methods. Data collection focused on quantitative measures such as pretest and posttest vocabulary assessment scores and task completion times, alongside qualitative measures obtained through a user experience questionnaire. This study utilizes the Technology Acceptance Model (TAM), incorporating variables such as Perceived Usefulness and Perceived Ease of Use. Results revealed significant improvements in the experimental group, with a 55.95% increase in vocabulary scores and an 18.75% reduction in task completion times compared to the control group. Qualitative data indicated that IVAL users reported greater Perceived Usefulness of the technology, improved Perceived Ease of Use, a more positive Attitude Toward Using IVAL, and stronger Behavioral Intention to continue using IVAL for anatomy learning. This study demonstrates that the integration of immersive virtual reality in the IVAL approach offers a promising method to enhance anatomy education. The findings provide insights into the effectiveness of immersive learning environments in improving learning outcomes and user acceptance. While further research is needed to explore long-term effects, this innovative approach not only enhances the effectiveness and enjoyment of anatomy learning but also provides valuable data on optimizing educational technology for improved learning outcomes.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Navazhylava, Kseniya; Ibraimova, Meruyert
Dans: International Journal Of Human Resource Management, vol. 35, no. 21, p. 3715-3743, 2024.
@article{navazhylava_3216,
title = {The Impact of Legal Uncertainties on Innovating HR Practices in Developing Countries: A Case Study of Remote Work in Kazakhstan's Technical Gas Industry during the healthcare crisis},
author = {Kseniya Navazhylava and Meruyert Ibraimova},
url = {https://www.tandfonline.com/doi/abs/10.1080/09585192.2024.2428356},
year = {2024},
date = {2024-11-01},
journal = {International Journal Of Human Resource Management},
volume = {35},
number = {21},
pages = {3715-3743},
abstract = {This study explores the influence of legal uncertainties on the process of innovating human resources (HR) practices in developing countries. Through a case study focused on introducing remote work within Kazakhstan's Technical Gas Industry during a healthcare crisis, we examine the multifaceted challenges and opportunities that emerge when navigating a complex legal landscape. Our findings reveal that legal uncertainties, stemming from inadequacies in legislation and the tightness of norms, significantly impede the ability to adapt and modernize HR practices during crises. Furthermore, the criticality of the company's position within the industry, combined with a low degree of legal enforcement, underscores the concept of "responsibilization" among HR professionals. This phenomenon compels HR practitioners to assume greater responsibility and make strategic decisions that occasionally push the boundaries of existing laws and regulations. In this context, we propose a novel conceptualization of responsibilization, distinct from empowerment, as it involves embracing negative legal consequences associated with proactive decision-making during crises. This study contributes significantly to our understanding of how legal uncertainties influence the process of HR innovation in developing countries, highlighting the intricate interplay between regulatory frameworks, crisis management, and organizational transformation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Peticca-Harris, Amanda; Elias, Sara R. S. T. A; Navazhylava, Kseniya; Ravishankar, M. N.
Neoliberal healthism and women's entrepreneurial subjectivities in yoga Article de journal
Dans: Organization, vol. 0, no. 0, 2024.
@article{peticca-harris_3217,
title = {Neoliberal healthism and women's entrepreneurial subjectivities in yoga},
author = {Amanda Peticca-Harris and Sara R.S.T.A Elias and Kseniya Navazhylava and M.N. Ravishankar},
url = {https://journals.sagepub.com/doi/abs/10.1177/13505084241295736},
year = {2024},
date = {2024-11-01},
journal = {Organization},
volume = {0},
number = {0},
abstract = {Women entrepreneurs have long encountered the neoliberal expectation to perform as ideal subjects by exhibiting an enterprising femininity. However, existing literature on critical women's entrepreneurship has largely overlooked how health and wellbeing discourses permeate enterprising ideals and impact one's subjectivity. This qualitative study explores how 41 women entrepreneurs construct an enterprising subjectivity through neoliberal healthism, and by doing so, provides a deeper understanding of alternative logics within and beyond the neoliberal logic of the enterprise. Our findings detail who they understand themselves to be by internalizing and at times challenging neoliberal ideals through themes of self-responsibilization, self-optimization, and reflective health. Our main contribution to critical women's entrepreneurship is that we conceptualize how an enterprising subjectivity is constructed through the personal optimization of health and wellbeing, fueled by shared-self-care rather than only the logic of market enterprise.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Josserand, Emmanuel; Boersma, Martijn
Australia's right to disconnect from work: Beyond rhetoric and towards implementation Article de journal
Dans: Journal Of Industrial Relations, vol. 66, no. 5, p. 703-720, 2024.
@article{josserand_3255,
title = {Australia's right to disconnect from work: Beyond rhetoric and towards implementation},
author = {Emmanuel Josserand and Martijn Boersma},
url = {https://journals.sagepub.com/doi/epub/10.1177/00221856241290625},
year = {2024},
date = {2024-11-01},
journal = {Journal Of Industrial Relations},
volume = {66},
number = {5},
pages = {703-720},
abstract = {Amendments to the Fair Work Act now allow workers in Australia a right to disconnect. The implementation of this right precipitated a polarised public debate that was not consistently evidence-based, encompassing the often-contradictory perspectives of unions, employers, business lobbies and politicians. This study offers a more nuanced and evidence-based understanding of the right to disconnect, its benefits and challenges and the possible impact on Australian employment practices and relations. It provides an international comparative analysis; it explores the literature on related topics such as work-life balance, occupational stress, management practices and productivity; and it proposes a model of the consequences of technology-enabled flexible work. The comparative analysis and literature review are supplemented with themes identified in Australian media coverage through a Leximancer analysis. The findings discuss the advantages and limitations of diverse top-down legislative or self-regulatory pathways experienced overseas by early adopters. While the right to disconnect can improve work-life balance, health and well-being and productivity, its implementation requires careful consideration of industry-specific contexts, clear policies and cultural shifts in workplaces to mitigate the risks associated with hyperconnectivity. These insights are useful for Australia as it enters the implementation phase of the right to disconnect.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
AGGARWAL, Shalini; RATHEE, Prerna; ARYA, Vikas; ROY, Hiran
Inside story of impact investing in emerging market: A systematic review to measure the responsible and sustainable investing pattern using the ADO framework Article de journal
Dans: Journal of Economic Surveys, 2024.
@article{aggarwal_3278,
title = {Inside story of impact investing in emerging market: A systematic review to measure the responsible and sustainable investing pattern using the ADO framework},
author = {Shalini AGGARWAL and Prerna RATHEE and Vikas ARYA and Hiran ROY},
url = {https://onlinelibrary.wiley.com/doi/10.1111/joes.12671},
year = {2024},
date = {2024-11-01},
journal = {Journal of Economic Surveys},
abstract = {Impact investing has emerged as a significant global phenomenon as it provides a valuable avenue for investors to shape their cognitive decision-making ability to have a societal impact. The present study aims to review the existing literature on impact investing systematically. It tries to understand the major motivational factors that impact the investor in impact investing using the ADO framework by linking it with McClelland's Theory of Motivation, geographical areas, journal of publication, and type of research articles for impact investing, significant research gaps in impact investing, theoretical and managerial implications and future research of impact investing. PRISMA framework has been used to finalize the articles from the Scopus database. As a result, 154 articles have been identified from the year 2011 to 2024. The result identifies three motivational factors that drive the investor to invest in impact investing. It includes financial, social, and self-actualization. The study will guide the policymaker in introducing comprehensive regulatory policies in the area of impact investing. Accordingly, tax incentives and subsidies should be granted for promoting investment in impact investing. The development of proper infrastructure for trading in impact investing needs attention.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Meng, Fan-Yong; Zhao, Deng-Yu; Gong, Zai-Wu; Chu, Jun-Fei; Pedrycz, Witold; Yuan, Zhe
Consensus adjustment for multi-attribute group decision making based on cross-allocation Article de journal
Dans: European Journal Of Operational Research, vol. 318, no. 1, p. 200-216, 2024.
@article{meng_3010,
title = {Consensus adjustment for multi-attribute group decision making based on cross-allocation},
author = {Fan-Yong Meng and Deng-Yu Zhao and Zai-Wu Gong and Jun-Fei Chu and Witold Pedrycz and Zhe Yuan},
url = {https://www.sciencedirect.com/science/article/pii/S0377221724003400},
year = {2024},
date = {2024-10-01},
journal = {European Journal Of Operational Research},
volume = {318},
number = {1},
pages = {200-216},
abstract = {Consensus adjustment is crucial in group decision making (GDM), aiming to reduce discrepancies in decision makers' (DMs') judgments for final decision results. The consensus adjustments made by DMs are interactive rather than independent. However, few studies investigate the consensus adjustment problem from the perspective of interactions among DMs. This study first constructs a model to determine the total minimum consensus adjustment under the requirements of consensus threshold and individual-collective judgment bias. Then, a consensus adjustment approach based on cross-allocation scheme is proposed to address the inconsistency between individual and collective minimum adjustments, which concerns all DMs' individual favorable allocation results under the total minimum consensus adjustment. The cross-allocation scheme ensures unanimous support for the same allocation result among all rational DMs, thereby eliminating the discrepancies among them. Subsequently, the optimization model-based minimum consensus judgment penalty is formulated to handle the non-cooperative behaviors of DMs. Furthermore, we show how to determine the unique consensus adjustment result for the non-cooperative DMs using the cross-allocation scheme. Therefore, our study contributes by developing a new GDM method that conducts consensus adjustment allocation by considering interactions among DMs. Finally, a case study is employed to demonstrate the specific application of the new method and discuss its efficiency. Meanwhile, comparison analysis and simulation experiments are provided.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Sun, Danyang; Dornaika, Fadi; Charafeddine, Jinan
LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation Article de journal
Dans: Information Fusion, vol. 110, p. 102484, 2024.
@article{sun_3024,
title = {LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation},
author = {Danyang Sun and Fadi Dornaika and Jinan Charafeddine},
url = {https://pdf.sciencedirectassets.com/272144/1-s2.0-S1566253524X00068/1-s2.0-S1566253524002628/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEBcaCXVzLWVhc3QtMSJHMEUCIB%2Bm2yVgKP%2BTa1w1tSg%2FydrF%2Fvb0NtGUi2OtE0dCfm5ZAiEAvS5zznXIlJGGqU0uDk6urwemR%2FjBXI8flOEVsv%2Bqi7MqvAUIj%2F%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FARAFGgwwNTkwMDM1NDY4NjUiDGlNeMR%2BKpLBIx%2FJkiqQBUxi37rUay01aPHdPyUjlEmZScIOm09oNOKMm2j4kAJ%2BBXu4xZ6ts%2FYVWeKloZ9bKO688mVLpZYW96XCoW8DS9E%2FGvhCoLNFgFEV35VB1ai8O7M21%2BlU%2Br8%2FcPbj77ypLNC%2BKDWJV0NPrB1DKOvao6ZpbspbrdK4kPspEAzZ%2FVkFT%2FKiopgMXf6iniq2tANtPaizXkk%2BZaNSAGIFt9OmCXMk6H7VYJALKEF4ZJm9kBslRj5nE5Y6edtx2JSSptvlujKMXhJbwjIiUiX7Ui1B4pUWDVtzmLpVcElBM78VwS0H8TKlHXBl5pyVDCym%2Fp2r%2BZbZdJWW6ZWgrqb26Dqc%2F22RSCtts8Lm%2Fs8vSHEc2cfI2mYpPSj5gL51yaDqoZyA9JcEBsQRAecvv%2F8RkbvtzMzuNBRjn4V8HoQR137Q2pYM%2FJgAly5tkgk5KS8JB2jb%2BaTA88ZJLx6YSDeqJdX2PXwyB1XvrrRy8oUgMmff8s2zVgT1f1dX5iPmZ1jtYEVu40cdvJ88ac8j4zAfWQPmBb%2FvfXWd%2BDVOp7h8ftVwQnI7bLDlFBXbhH3oVb%2FFpJ3Bw3DFakM7j%2FSOVug7DP8dC9h8Dj2oIOW8C4QAgdCeHaDRMfh2F7VZjw3FZf3i631%2BAdBp8r4d4XkYeREmbmiovEoVWBBHoYD6RTIK9lp37AmDnhFSAMr2LEmzG2NypUQ3Hwb7zLu4thOxdGz5MBApBAh44ukY8YuN1ufa38eyKRtCUO%2Fxd2kuIIJ2LVXa3bQYug5Lx%2B9KIKhgqxCrwptvf8OaxtQ5FoYhuqNU0pL1Chohou2d1vld8RViOconvLl0VWMsZ5YyP9ZxaM0xtzdz9jZQUUyYOV92u8ehS7ie1qwrMNDAwrIGOrEBxpUgPvpVhdMKearFfabKLjWh5dtniMHIFTE5cSfjDp3cUuAHaEMlV2m22S1E7%2B%2BqLhJRHUxrx0Ahj9AgijOS6Ej7rGG3xGTKGOnhYGjvrjhMzhpYH7bBR2UDVY%2Ff5JnU3IqbM8%2BmzPkwAtPDE4f74N3zJ3CUErPd4nF0UOXyQABK0JE3XGOZmeqIIDshevKKQuAQWWCmCYyGaPWgjtPkrFNgDEqhkhXN4QWxs%2FJfC2Tb&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20240524T152432Z&X-Amz-SignedHeaders=host&X-Amz-Expires=299&X-Amz-Credential=ASIAQ3PHCVTY4RJ4ZEGT%2F20240524%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=49fff6e8e4aa2160d63ba58a605230103a570a99a899c33049a2447724567bf6&hash=cf866cff1fcd93c461170f4149fdcc586b3e8c5bd13fbef0361db16227b04cc0&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S1566253524002628&tid=spdf-53f47d50-21b1-4fa1-a93b-92addbddb736&sid=5b8e3010830f534aec5849b2797ace9af2f9gxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=001156565a0352015207&rr=888e4b0cfc530203&cc=fr},
year = {2024},
date = {2024-10-01},
journal = {Information Fusion},
volume = {110},
pages = {102484},
abstract = {Medical image segmentation often faces challenges related to overfitting, primarily due to the limited and complex training samples. This challenge often prompts the use of self-supervised learning and data augmentation. However, self-supervised learning requires well-defined hand-crafted tasks and multiple training stages. On the other hand, basic image augmentation techniques like cropping, rotation, and flipping, effective for natural scene images, have limited efficacy for medical images due to their isotropic nature.
While regional dropout regularization data augmentation methods have proven effective in image recognition tasks, their application in image segmentation is not as extensively studied. Additionally, existing augmentation methods often operate on square regions, leading to the loss of crucial contour information. This is particularly problematic for medical image segmentation tasks dealing with regions of interest characterized by intricate shapes. In this work, we introduce LCAMix, a novel data augmentation approach designed for medical image segmentation. LCAMix operates by blending two images and their segmentation masks based on their superpixels, incorporating a local-and-contour-aware strategy. The training process on augmented images adopts two auxiliary pretext tasks: firstly, classifying local superpixels in augmented images using an adaptive focal margin, leveraging segmentation ground truth masks as prior knowledge; secondly, reconstructing the two source images using mixed superpixels as mutual masks, emphasizing spatial sensitivity. Our method stands out as a simple, one-stage, model-agnostic, and plug-and-play data augmentation solution applicable to various segmentation tasks. Notably, it requires no external data or additional models. Extensive experiments validate its superior performance across diverse medical segmentation datasets and tasks. The source codes are available at https://github.com/DanielaPlusPlus/DataAug4Medical.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Chu, Junfei; Dong, Yanhua; Yuan, Zhe
An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs Article de journal
Dans: European Journal Of Operational Research, vol. 318, no. 2, p. 592-604, 2024.
@article{chu_3041,
title = {An improved equilibrium efficient frontier data envelopment analysis approach for evaluating decision-making units with fixed-sum outputs},
author = {Junfei Chu and Yanhua Dong and Zhe Yuan},
url = {https://www.sciencedirect.com/science/article/pii/S0377221724004314},
year = {2024},
date = {2024-10-01},
journal = {European Journal Of Operational Research},
volume = {318},
number = {2},
pages = {592-604},
abstract = {In recent years, significant development has been made in efficiency evaluation for Decision-Making Units (DMUs) with fixed-sum outputs. The Generalized Equilibrium Efficient Frontier Data Envelopment Analysis (GEEFDEA) approach introduced by Yang et al. (2015) is one of the most representative methods. In the GEEFDEA approach, all DMUs are adjusted to become efficient under the same set of weights, indicating that the Equilibrium Efficient Frontier (EEF) constructed consists of only one hyperplane. However, in practical scenarios under the Variable Return to Scale (VRS) assumption, the production frontier always consists of multiple hyperplanes, presenting a more complex shape. To fill this research gap, we propose an improved Equilibrium Efficient Frontier Data Envelopment Analysis approach. Our approach allows DMUs to have different weights for inputs, variable-sum outputs, and fixed-sum outputs, resulting in an EEF with multiple hyperplanes. It is noted that our new approach uses a non-linear model to obtain the EEF. We show that the model can be linearized in the case of a single fixed-sum output. In situations involving multiple fixed-sum outputs, we propose an algorithm based on the Expectation Maximization (EM) mechanism to solve the model to obtain an EEF. Finally, we illustrate the advantages of our new approach through a numerical example and a case study in the global motor vehicle industry.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Alirezazadeh, Pandar; Dornaika, Fadi; Charafeddine, Jinan
Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification Article de journal
Dans: Artificial Intelligence Review, vol. 57, p. 326, 2024.
@article{alirezazadeh_3188,
title = {Mises-Fisher similarity-based boosted additive angular margin loss for breast cancer classification},
author = {Pandar Alirezazadeh and Fadi Dornaika and Jinan Charafeddine},
url = {https://link.springer.com/article/10.1007/s10462-024-10963-4#citeas},
year = {2024},
date = {2024-10-01},
journal = {Artificial Intelligence Review},
volume = {57},
pages = {326},
abstract = {To enhance the accuracy of breast cancer diagnosis, current practices rely on biopsies and microscopic examinations. However, this approach is known for being time-consuming, tedious, and costly. While convolutional neural networks (CNNs) have shown promise for their efficiency and high accuracy, training them effectively becomes challenging in real-world learning scenarios such as class imbalance, small-scale datasets, and label noises. Angular margin-based softmax losses, which concentrate on the angle between features and classifiers embedded in cosine similarity at the classification layer, aim to regulate feature representation learning. Nevertheless, the cosine similarity's lack of a heavy tail impedes its ability to compactly regulate intra-class feature distribution, limiting generalization performance. Moreover, these losses are constrained to target classes when margin penalties are applied, which may not always optimize effectiveness. Addressing these hurdles, we introduce an innovative approach termed MF-BAM (Mises-Fisher Similarity-based Boosted Additive Angular Margin Loss), which extends beyond traditional cosine similarity and is anchored in the von Mises-Fisher distribution. MF-BAM not only penalizes the angle between deep features and their corresponding target class weights but also considers angles between deep features and weights associated with non-target classes. Through extensive experimentation on the BreaKHis dataset, MF-BAM achieves outstanding accuracies of 99.92%, 99.96%, 100.00%, and 98.05% for magnification levels of ×40, ×100, ×200, and ×400, respectively. Furthermore, additional experiments conducted on the BACH dataset for breast cancer classification, as well as on the LFW and YTF datasets for face recognition, affirm the generalization capability of our proposed loss function.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Nguyen, Thuy; Bonamy, Daniel
Size-dependency and lattice-discreetness effect on fracture toughness in 2D crystals under antiplanar loading Article de journal
Dans: International Journal Of Fracture, vol. 248, p. 257-273, 2024.
@article{nguyen_3192,
title = {Size-dependency and lattice-discreetness effect on fracture toughness in 2D crystals under antiplanar loading},
author = {Thuy Nguyen and Daniel Bonamy},
url = {https://link.springer.com/article/10.1007/s10704-024-00812-4?utm_source=rct_congratemailt&utm_medium=email&utm_campaign=oa_20241017&utm_content=10.1007%2Fs10704-024-00812-4},
year = {2024},
date = {2024-10-01},
journal = {International Journal Of Fracture},
volume = {248},
pages = {257-273},
abstract = {Fracture toughness is the material property
characterizing resistance to failure. Predicting its value from the solid structure at the atomistic scale remains elusive, even in the simplest situations of brittle fracture. We report here numerical simulations of crack propagation in two-dimensional fuse networks of different periodic geometries, which are electrical analogs of bidimensional brittle crystals under antiplanar loading. Fracture energy is determined from Griffith's analysis of energy balance during crack propagation, and fracture toughness is determined from fits of the displacement fields with Williams' asymptotic solutions. Significant size dependencies are evidenced in small lattices, with fracture energy and fracture toughness both converging algebraically with system size toward well-defined material-constant values in the limit of infinite system size. The convergence speed depends on the loading conditions and is faster when the symmetry of the considered lattice increases. The material
constants at infinity obey Irwin's relation and properly define the material resistance to failure. Their values are approached up to ? 15% using the recent analytical method proposed in Nguyen and Bonamy (Phys
Rev Lett 123:205503, 2019). Nevertheless, the deviation remains finite and does not vanish when the system size goes to infinity. We finally show that this deviation is a consequence of the lattice discreetness and
decreases when the super-singular terms of Williams' solutions (absent in a continuum medium but present here due to lattice discreetness) are taken into account.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Huang, Han; Xiong, Jie; XU, Lu; Yuan, Zhe; Liu, Chun
Catch-up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry Article de journal
Dans: Ieee Transactions On Engineering Management, vol. 71, p. 15375 - 15389, 2024.
@article{huang_3211,
title = {Catch-up in Complex Products and Systems: A Fuzzy-Set Qualitative Comparative Analysis of China's Equipment Manufacturing Industry},
author = {Han Huang and Jie Xiong and Lu XU and Zhe Yuan and Chun Liu},
url = {https://ieeexplore.ieee.org/document/10738479},
year = {2024},
date = {2024-10-01},
journal = {Ieee Transactions On Engineering Management},
volume = {71},
pages = {15375 - 15389},
abstract = {The rapid advancement of Chinese Complex Products and Systems (CoPS) enterprises marks their transition into a post-catch-up phase, challenging conventional theories of catch-up. This study employs a configurational approach to explore the intricate relationships between catch-up environments and strategies, specifically focusing on the distinct paths of State-Owned Enterprises (SOEs) and non-State-Owned Enterprises (non-SOEs) within the CoPS sector. Utilizing Fuzzy-Set Qualitative Comparative Analysis (fsQCA) with data sourced from the EU Industrial R&D Investment Scoreboard (2017-2020) and corresponding Chinese-listed companies, our research identifies diverse catch-up configurations for SOEs, characterized by ?complexity adoption? and ?complexity decipher? models. In contrast, non-SOEs encounter challenges in strategically adapting to environmental shifts, which affects their catch-up strategies. Our findings emphasize the critical role of strategic alignment with external conditions, technological learning, and resource utilization in achieving successful catch-up in CoPS. These configurations enable SOEs to effectively align internal resources with external opportunities, resulting in superior catch-up performance. In contrast, non-SOEs encounter significant obstacles in adapting to environmental changes and optimizing resource utilization, which hinders their ability to attain similar successes. Moreover, our study sheds light on specific challenges faced by non-SOEs in responding to environmental shifts. This enriched understanding provides valuable theoretical insights into the catch-up of latecomer CoPS enterprises and has practical implications for both policymakers and business practitioners.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Scuotto, Veronica; Garcia-Perez, Alexeis; Kalisz, David; Dhir, Amandeep
Responsible I(m)ovation in Asia Pacific regions Article de journal
Dans: Asia Pacific Journal Of Management, vol. 41, p. 1005-1029, 2024.
@article{scuotto_1758,
title = {Responsible I(m)ovation in Asia Pacific regions},
author = {Veronica Scuotto and Alexeis Garcia-Perez and David Kalisz and Amandeep Dhir},
url = {https://link.springer.com/article/10.1007/s10490-022-09803-2},
year = {2024},
date = {2024-09-01},
journal = {Asia Pacific Journal Of Management},
volume = {41},
pages = {1005-1029},
abstract = {Over the past 20 years, a debate has developed on the differences between innovation and imitation strategies as mechanisms by which businesses operating in the Asia Pacific region may gain a competitive advantage. The current research contributes to this debate from a different perspective by exploring some of the challenges and opportunities associated with the combination of both strategies into what has been defined as imovation. Imovators and imovations do not stand alone in business ecosystems. Rather, they should be embraced in the context of sustainability-related virtues and emerging capabilities, such as ethical behaviour, co-responsibility and positive social impact. Taking dynamic capabilities as a theoretical lens, this paper conducts an empirical investigation of responsible imovation in a sample of 180 enterprises operating in the Asia Pacific market. In particular, this research evaluates the relationship between dynamic capabilities and imovation capabilities using a logistic regression analysis whereby we correlate the three main features of imovation strategies: strategic alliances, strategic decision-making and product innovations. To the best of our knowledge, ours is the first study to focus on responsible imovation in the Asia Pacific market from an empirical perspective. The research highlights the key organisational and individual actions with the potential both to preserve existing capabilities and to create and integrate new ones. Our findings highlight the importance of technology adoption for responsible imovation to become more effective and accessible to imovators in the Asia Pacific business ecosystem. We conclude that responsible imovations combined with product-level innovations and core dynamic capabilities pave the way towards more rapid growth and a more sustainable competitive advantage.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
de Grazia, Charles; Giczy, Alexander; Pairolero, Nicholas
Procrastination or incomplete data? An analysis of USPTO examiner search activity Article de journal
Dans: Research Policy, vol. 53, no. 7, p. 105033, 2024.
@article{de_grazia_3030,
title = {Procrastination or incomplete data? An analysis of USPTO examiner search activity},
author = {Charles de Grazia and Alexander Giczy and Nicholas Pairolero},
url = {https://doi.org/10.1016/j.respol.2024.105033},
year = {2024},
date = {2024-09-01},
journal = {Research Policy},
volume = {53},
number = {7},
pages = {105033},
abstract = {Frakes and Wasserman (2020) finds evidence that United States Patent and Trademark Office (USPTO) patent examiners disproportionately receive credit for examination activities at the end of production periods and interprets this behavior as systemic examiner procrastination. Using newly assembled micro data on the
timing of USPTO examiner activities, our results show examiner work effort more closely resembles a uniform distribution over the production period, indicating consistent workflow and not procrastination. The assembled
data better track the precise timing of examiner work activities than the data used in Frakes and Wasserman
(2020), explaining the differences in our results. While Frakes and Wasserman (2020) conduct a thorough analysis of the markers and consequences of ??end-loading'', its use of an inadequate proxy for examination activity (i.e., Office action count dates) leads to incorrect conclusions about the examination process (i.e., widespread examiner procrastination)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Hemsley, Bronwyn; Dann, Stephen; Reddacliff, Courtney; Smith, Rebecca; Given, Fiona; Gay, Valerie; Leong, Tuck Wah; Josserand, Emmanuel; Skellernd, Katrina; Bull, Chriss; Palmer, Stuart; Balandin, Susan
Views on the usability, design, and future possibilities of a 3D food printer for people with dysphagia: outcomes of an immersive experience Article de journal
Dans: Disability And Rehabilitation, vol. 19, no. 3, p. 527-536, 2024.
@article{hemsley_3213,
title = {Views on the usability, design, and future possibilities of a 3D food printer for people with dysphagia: outcomes of an immersive experience},
author = {Bronwyn Hemsley and Stephen Dann and Courtney Reddacliff and Rebecca Smith and Fiona Given and Valerie Gay and Tuck Wah Leong and Emmanuel Josserand and Katrina Skellernd and Chriss Bull and Stuart Palmer and Susan Balandin},
url = {https://www.tandfonline.com/doi/full/10.1080/17483107.2022.2131914},
year = {2024},
date = {2024-09-01},
journal = {Disability And Rehabilitation},
volume = {19},
number = {3},
pages = {527-536},
abstract = {Purpose
Although 3D food printing is expected to enable the creation of visually appealing pureed food for people with disability and dysphagia, little is known about the user experience in engaging with 3D food printing or the feasibility of use with populations who need texture-modified foods. The aim of this study was to explore the feasibility and usability of using domestic-scale 3D food printer as an assistive technology to print pureed food into attractive food shapes for people with dysphagia.
Materials and Methods
In total, 16 participants engaged in the unfamiliar, novel process of using a domestic-scale 3D food printer (choosing, printing, tasting), designed for printing pureed food, and discussed their impressions in focus group or individual interviews.
Results and Conclusions
Overall, results demonstrated that informed experts who were novice users perceived the 3D food printing process to be fun but time consuming, and that 3D food printers might not yet be suitable for people with dysphagia or their supporters. Slow response time, lack of user feedback, scant detail on the appropriate recipes for the pureed food to create a successful print, and small font on the user panel interface were perceived as barriers to accessibility for people with disability and older people. Participants expected more interactive elements and feedback from the device, particularly in relation to resolving printer or user errors. This study will inform future usability trials and food safety research into 3D printed foods for people with disability and dysphagia.
IMPLICATIONS FOR REHABILITATION
3D food printers potentially have a role as an assistive technology in the preparation of texture-modified foods for people with disability and dysphagia.
To increase feasibility, 3D food printers should be co-designed with people with disability and their supporters and health professionals working in the field of dysphagia and rehabilitation.
Experts struggled to be able to print 3D pureed shapes owing to relatively low usability of the 3D food printer tested with problems using the interface and resolving problems in the print.
3D food printing is a fun and novel activity and may help to engage people with disability and dysphagia in making choices around the shape of the food to be printed.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Tao, Weiliang; Weng, Shimei; Chen, Xueli; Hussan, Fawaz Baddar Al; Song, Malin
Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China Article de journal
Dans: Energy Economics, vol. 136, p. 107719, 2024.
@article{tao_3056,
title = {Artificial intelligence-driven transformations in low-carbon energy structure: Evidence from China},
author = {Weiliang Tao and Shimei Weng and Xueli Chen and Fawaz Baddar Al Hussan and Malin Song},
url = {https://www.sciencedirect.com/science/article/abs/pii/S0140988324004274},
year = {2024},
date = {2024-08-01},
journal = {Energy Economics},
volume = {136},
pages = {107719},
abstract = {The widespread integration of artificial intelligence (AI) technology in the realms of energy and the environment has emerged as a catalyst for transformative shifts toward low-carbon energy structures. However, existing literature and practical applications have yet to delve into the intricate ways in which intelligent technology influences energy structures. Consequently, this study addresses this gap by constructing a comprehensive theoretical model that encompasses robots and differentiated energy inputs. By drawing on the Chinese case, this research investigates the impact of AI on low-carbon energy structure transformation, both theoretically and empirically. The study's results reveal that AI technology significantly advances the cause of low-carbon energy transformation. Notably, this effect is manifested in the post-Industry 4.0 era and regions endowed with abundant renewable energy resources and strong governmental support for innovation. Rigorous robustness tests substantiate the existence of this relationship. Furthermore, adopting smart technology fosters energy structure transformation through industrial restructuring, and introduces the energy rebound effect, thereby partially offsetting its positive impact. Importantly, the study underscores that the efficacy of AI is further heightened when the influx of innovation factors surpasses a certain threshold. These findings furnish crucial evidence and policy insights for China and other developing nations, offering guidance on accelerating energy transitions and attaining carbon neutrality.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Shakir, Wafaa; Mahdi, Ali; Hamdan, Hani; Charafeddine, Jinan; Satai, Haitham; Akrache, Radouane; Hadad, Samir; Sayah, Jinane
Novel Approximate Distribution of the Generalized Turbulence Channels for MIMO FSO Communications Article de journal
Dans: Ieee Photonics Journal, vol. 16, no. 4, p. 1 - 15, 2024.
@article{shakir_3063,
title = {Novel Approximate Distribution of the Generalized Turbulence Channels for MIMO FSO Communications},
author = {Wafaa Shakir and Ali Mahdi and Hani Hamdan and Jinan Charafeddine and Haitham Satai and Radouane Akrache and Samir Hadad and Jinane Sayah},
url = {https://ieeexplore.ieee.org/document/10568928},
year = {2024},
date = {2024-08-01},
journal = {Ieee Photonics Journal},
volume = {16},
number = {4},
pages = {1 - 15},
abstract = {In this paper, we develop an innovative series representation for the sum of Rician non-zero boresight pointing error random variates based on the k - ? distribution, which is suitable for multiple-input multiple-output (MIMO) transmission for the first time. Then, using this new representation, we introduce a novel closed-form probability density function (PDF) approximation for the sum of Gamma-Gamma random variates with generalized pointing errors and atmospheric attenuation of MIMO free-space optical (FSO) communications. Statistical Kolmogorov-Smirnov tests confirm the accuracy of this approximation over a wide range of channel conditions. The significance of this approximation is emphasized by deriving closed-form expressions for the ergodic capacity, outage probability, and average bit error rate (BER) using Meijer's G-function. This paper provides a comprehensive analysis of the performance of MIMO FSO systems utilizing the equal gain combining (EGC) diversity technique under various conditions, such as different numbers of transmitter and receiver, turbulence intensities, the effects of non-zero boresight pointing errors, and path attenuation. The results show that using MIMO technology with more transmitters and receivers significantly improves the performance of FSO communication compared to other diversity techniques, including single input single output (SISO), and multiple input single output (MISO) systems. Detailed evaluations of the ergodic capacity, outage probability, and average BER performance at high signal-to-noise ratios provide additional insights. Monte-Carlo simulation results demonstrate the accuracy of the proposed approach.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
KETATA, HAJER; Hfaiedh, Naila; Kanhonou, Michèle; Badreddine, Houssem
Impact of fractured tibia implant fixation devices on bone stiffness during bending test Article de journal
Dans: Medical Engineering & Physics, vol. 131, p. 104228, 2024.
@article{ketata_3136,
title = {Impact of fractured tibia implant fixation devices on bone stiffness during bending test},
author = {HAJER KETATA and Naila Hfaiedh and Michèle Kanhonou and Houssem Badreddine},
url = {https://www.sciencedirect.com/science/article/pii/S1350453324001292?via%3Dihub},
year = {2024},
date = {2024-08-01},
journal = {Medical Engineering & Physics},
volume = {131},
pages = {104228},
abstract = {This study focuses on evaluating the failure resistance of a previously reduced tibia with internal fixation implants as PLate (PL) or InterMedullary Nail (IMN), subjected later to a tibial lateral trauma. To replicate this type of trauma, which can be caused by a road accident, a three-point bending test is considered using experimental tests and numerical simulations.
The withstand evaluation of the tibia-PL and tibia-IMN structures was conducted by following the load transfer through, the bone and the used implants. The analysis, up to tibia failure, required the use of an elasto-plastic behaviour law coupled to damage. The model parameters were identified using experimental tests.
Il was shown that the tibia-IMN structure provided a bending resistant load up to three-times higher than the tibia-PL. In fact, the used screws for plate fixation induced a high level of stress in the vicinity of threaded region, leading to a crack initiation and a damage propagation. However, in tibia-IMN structure the highest stress was generated in the trapped zone between the loader and the nail, promoting crack formation.
From a biomechanical point of view, the structure with IMN is safer than the structure with PL, whose fixation induces earlier damage in bone.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Latukha, Marina; Alon, Ilan; Kuleshov, Nikita; Vaiman, Vlad
The effect of sanctions on macro talent management: The case of Russia Article de journal
Dans: Journal Of World Business, vol. 59, no. 5, p. 101570, 2024.
@article{latukha_3150,
title = {The effect of sanctions on macro talent management: The case of Russia},
author = {Marina Latukha and Ilan Alon and Nikita Kuleshov and Vlad Vaiman},
url = {https://doi.org/10.1016/j.jwb.2024.101570},
year = {2024},
date = {2024-08-01},
journal = {Journal Of World Business},
volume = {59},
number = {5},
pages = {101570},
abstract = {The purpose of our study is to examine how the sanctions imposed on Russia influence talent management. To do
so, we review the macro talent management (MTM) framework alongside the literature on sanctions. In addition,
we have collected data from 419 media publications discussing the effects of sanctions and analyzed them using
critical discourse analysis (CDA). Our findings highlight the predominantly negative nature of the sanctions'
impact on MTM ecosystems, theoretically yielding closer links between the sanctions and the MTM framework,
and human capital more specifically.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Farronato, Nicola; Scuotto, Veronica; Pironti, Marco; Giudice, Manlio Del
The Green Frontier of Mobile Applications in Improving Recycling Consumers' Behavior Article de journal
Dans: Ieee Transactions On Engineering Management, vol. 71, p. 13191-13200, 2024.
@article{farronato_1909,
title = {The Green Frontier of Mobile Applications in Improving Recycling Consumers' Behavior},
author = {Nicola Farronato and Veronica Scuotto and Marco Pironti and Manlio Del Giudice},
url = {https://ieeexplore.ieee.org/abstract/document/9884976},
year = {2024},
date = {2024-07-01},
journal = {Ieee Transactions On Engineering Management},
volume = {71},
pages = {13191-13200},
abstract = {In this article, we provide a new insight into overcoming resistance to emerging green technologies through mobile app users' environmental engagement. The use of a mobile recycling application is evaluated with regard to its media richness with a sample of 12 539 users in Italy. The research is developed during the COVID-19 pandemic, at a time when users have become more environmentally conscious and aware of plastic pollution. This time period has also seen an increase in the use of mobile applications, which provide social engagement and other benefits. Although it has encouraged new research on recycling behavior and how environmental messages are spread, as far as we know, no research has included a specific technology, such as mobile applications. Through the lens of consumer social media engagement behavior, it has emerged that media richness has a positive correlation with user engagement and recycling behavior. Theoretically, the research offers a novel technological tool worthy of further exploration in the fields of management and engineering. New practical insights are offered in terms of best practices for strengthening the relationships between companies and their clients. As users become more accustomed to social technologies, those technologies may help to establish responsible consumption patterns.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Bouzbib, Elodie; Teyssier, Marc; Howard, Thomas; Pacchierotti, Claudio; Lécuyer, Anatole
PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves Article de journal
Dans: Ieee Transactions On Visualization And Computer Graphics, vol. 30, no. 7, p. 3973-3980, 2024.
@article{bouzbib_2109,
title = {PalmEx: Adding Palmar Force-Feedback for 3D Manipulation with Haptic Exoskeleton Gloves},
author = {Elodie Bouzbib and Marc Teyssier and Thomas Howard and Claudio Pacchierotti and Anatole Lécuyer},
url = {https://ieeexplore.ieee.org/document/10041940/},
year = {2024},
date = {2024-07-01},
journal = {Ieee Transactions On Visualization And Computer Graphics},
volume = {30},
number = {7},
pages = {3973-3980},
abstract = {Haptic exoskeleton gloves are a widespread solution for providing force-feedback in Virtual Reality (VR), especially for 3D object manipulations. However, they are still lacking an important feature regarding in-hand haptic sensations: the palmar contact.
In this paper, we present PalmEx, a novel approach which incorporates palmar force-feedback into exoskeleton gloves to improve the overall grasping sensations and manual haptic interactions in VR. PalmEx's concept is demonstrated through a self-contained hardware system augmenting a hand exoskeleton with an encountered palmar contact interface -- physically encountering the users' palm.
We build upon current taxonomies to elicit PalmEx's capabilities for both the exploration and manipulation of virtual objects.
We first conduct a technical evaluation optimising the delay between the virtual interactions and their physical counterparts.
We then empirically evaluate PalmEx's proposed design space in a user study (n=12) to assess the potential of a palmar contact for augmenting an exoskeleton. Results show that PalmEx offers the best rendering capabilities to perform believable grasps in VR.
PalmEx highlights the importance of the palmar stimulation, and provides a low-cost solution to augment existing high-end consumer hand exoskeletons.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Gangi, Francesco; Daniele, Lucia Michela; Scuotto, Veronica; Mario, Tani
Uncovering Backers' Intention to Participate in Reward-Based Crowdfunding: The Role of Value Cocreation Article de journal
Dans: Ieee Transactions On Engineering Management, p. 1 - 13, 2024.
@article{gangi_2329,
title = {Uncovering Backers' Intention to Participate in Reward-Based Crowdfunding: The Role of Value Cocreation},
author = {Francesco Gangi and Lucia Michela Daniele and Veronica Scuotto and Tani Mario},
url = {https://ieeexplore.ieee.org/document/10114066},
year = {2024},
date = {2024-07-01},
journal = {Ieee Transactions On Engineering Management},
pages = {1 - 13},
abstract = {The ongoing dynamic market evolution has reshaped the way companies can create value, thanks to new funding models and new market opportunities, especially in the early business stages. In particular, with the growing development of crowdfunding models, scholars and practitioners are questioning how backers can cocreate value by funding new entrepreneurial initiatives through digital platforms dedicated to this new form of financial support. Therefore, positioning this article in the knowledge and engineering management literature, the current research explores whether two subdimensions of value cocreation (VCC), knowledge sharing and interaction, may help to understand backers' intention to participate in a reward-based crowdfunding (RBCF) campaign. In particular, using the partial least square structural equation modeling approach on an original sample of 3574 backers, in this article, we find that knowledge sharing, understood as backers' expertise as well as the preparedness of the proponent team, and the interaction between the campaign actors contribute to explaining backers' participation in an RBCF initiative. The research supports the relevance of backers' engagement in terms of VCC as an experiential benefit for the success of an RBCF initiative. From this perspective, our study suggests that both entrepreneurs and platforms should consider VCC in the design and setting of RBCF campaigns.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Dornaika, Fadi; Hajjar, Sally El; Charafeddine, Jinan
Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering Article de journal
Dans: Engineering Applications Of Artificial Intelligence, vol. 133, no. Part D, p. 108336, 2024.
@article{dornaika_2943,
title = {Towards unsupervised radiograph clustering for COVID-19: The use of graph-based multi-view clustering},
author = {Fadi Dornaika and Sally El Hajjar and Jinan Charafeddine},
url = {https://www.sciencedirect.com/science/article/pii/S0952197624004949?via%3Dihub},
year = {2024},
date = {2024-07-01},
journal = {Engineering Applications Of Artificial Intelligence},
volume = {133},
number = {Part D},
pages = {108336},
abstract = {Automatic classification methods widely used for diagnosing and analyzing COVID-19 cases. These methods assume known labels and rely on a single view of the dataset. Given the prevalence of COVID-19 cases and the extensive volume of patient records lacking labels, this communication underscores our unique approach?conducting the first study on COVID-19 case diagnosis in an unsupervised manner. Our work operates under the assumption of prior knowledge regarding the number of classes, such as COVID-19, pneumonia, and normal, in a case study.
By adopting an unsupervised learning paradigm, we leverage the wealth of unlabeled data, reducing dependence on human experts for annotating numerous images. This paper introduces an enhanced version of a recent direct method where non-negative cluster indices and spectral embeddings are jointly estimated. Beyond the inherent advantages of this method, our proposed model introduces improvements through two additional types of constraints: (i) ensuring consistent smoothing of cluster labels across all views and (ii) imposing an orthogonality constraint on the matrix of cluster assignments. The efficacy of the proposed method is demonstrated using the public COVIDx dataset with three classes, showcasing promising results in categorizing radiographs. The proposed approach is tested on other public image datasets to assess its effectiveness.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Waheed, Mehwish; Ul-Ain, Noor; Riezebos, Jan; Mikalef, Patrick
Satisfaction as a function of user justice: a social exchange theory perspective Article de journal
Dans: Technology Analysis & Strategic Management, p. 1-16, 2024.
@article{waheed_3109,
title = {Satisfaction as a function of user justice: a social exchange theory perspective},
author = {Mehwish Waheed and Noor Ul-Ain and Jan Riezebos and Patrick Mikalef},
url = {https://www.tandfonline.com/doi/full/10.1080/09537325.2024.2369934},
year = {2024},
date = {2024-07-01},
journal = {Technology Analysis & Strategic Management},
pages = {1-16},
abstract = {This study investigates complaint behaviour as a function of post-satisfaction behaviour stemming from perceptions of justice and security. Grounded in social exchange theory, we propose an integrated framework in which
security, expectation confirmation, and dimensions of justice (distributive, procedural, and interactional) influence satisfaction, affecting complaint behaviour towards the eCommerce Digital Supply Chain (DSC) process.
Data were collected through a quantitative online survey involving 316 Amazon eShoppers of tech products from the European region. The confirmatory factor analysis results validated the second-order reflective justice construct, encompassing distributive, procedural, and interactional
dimensions. Furthermore, the structural relationship results revealed (i) justice and security have a significant impact on eShoppers' satisfaction; (ii) a significant relationship exists between word of mouth, satisfaction, and eShoppers' complaint intention. This framework contributes to the existing knowledge base and offers valuable insights for stakeholders in the eCommerce DSC.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Vazquez-Ferrel, Carlos; Hernandez, Erik Ernesto Vazquez
Political survival and legislative reselection in Mexico's chamber of deputies Article de journal
Dans: The Journal of Legislative Studies, p. 1-30, 2024.
@article{vazquez-ferrel_3163,
title = {Political survival and legislative reselection in Mexico's chamber of deputies},
author = {Carlos Vazquez-Ferrel and Erik Ernesto Vazquez Hernandez},
url = {https://doi.org/10.1080/13572334.2024.2372953},
year = {2024},
date = {2024-07-01},
journal = {The Journal of Legislative Studies},
pages = {1-30},
abstract = {This article presents an empirical investigation into the factors influencing the renomination of legislators by party leaders for their continued presence in Congress. We argue that legislators who have previously held influential positions within Congress, such as Committee President, have a successful track record of (co)sponsoring bills, and have built distinguished political careers, are more likely to be renominated in Congress. To test this theory, we employ an original dataset sourced from the Mexican 2018-2021 Chamber of Deputies, which comprises the inaugural group of Congress members allowed to seek reelection after a 90-year prohibition within the context of a transforming party system marked by the diminishing electoral attractiveness of traditional parties. Our findings carry significant implications for comprehending how party leaders recognise and reward legislators who effectively safeguard the party's interests and uphold its reputation inside the halls of Congress.},
keywords = {},
pubstate = {online},
tppubtype = {article}
}
Ogorodnikov, Yuri; Rudakov, Roman; KHACHAI, Daniil; KHACHAI, M. Yu.
Fault-Tolerant Families of Production Plans: Mathematical Model, Computational Complexity, and Branch-and-Bound Algorithms Article de journal
Dans: Computational Mathematics And Mathematical Physics, vol. 64, p. 1193-1210, 2024.
@article{ogorodnikov_3297,
title = {Fault-Tolerant Families of Production Plans: Mathematical Model, Computational Complexity, and Branch-and-Bound Algorithms},
author = {Yuri Ogorodnikov and Roman Rudakov and Daniil KHACHAI and M. Yu. KHACHAI},
url = {https://link.springer.com/article/10.1134/S0965542524700441#citeas},
year = {2024},
date = {2024-07-01},
journal = {Computational Mathematics And Mathematical Physics},
volume = {64},
pages = {1193-1210},
abstract = {The design of fault-tolerant production and delivery systems is one of the priority areas in modern operations research. The traditional approach to modeling such systems is based on the use of stochastic models that describe the choice of a possible scenario of actions in the event of problems in a production or transportation network. Along with a number of advantages, this approach has a known drawback. The occurrence of problems of an unknown nature that can jeopardize the performance of the entire simulated system significantly complicates its use. This paper introduces the minimax problem of constructing fault-tolerant production plans (reliable production process design problem, RPPDP), the purpose of which is to ensure the uninterrupted operation of a distributed production system with minimal guaranteed cost. It is shown that the RPPDP is NP-hard in the strong sense and remains intractable under quite specific conditions. To find exact and approximate solutions with accuracy guarantees for this problem, branch-and-bound methods are developed based on the proposed compact model of the mixed integer linear program (MILP) and novel heuristic of adaptive search in large neighborhoods (adaptive large neighborhood search, ALNS) as part of extensions of the well-known Gurobi MIP solver. The high performance and complementarity of the proposed algorithms is confirmed by the results of numerical experiments carried out on a public library of benchmarking instances developed by the authors based on instances from the PCGTSPLIB library.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
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