Nouveaux Matériaux, Systèmes Intelligents et Entreprises Innovantes

@article{thatte_4055,

title = {The PAH 3.4 micron feature as a tracer of shielding in the Orion Bar and NGC 6240},

author = {Niranjan Thatte and Dimitra Rigopoulou and Fergus R Donnan and Ismael Garcia-Bernete and Miguel Pereira-Santaella and Bruce Draine and Oscar Veenema and Bouthéïna Kerkeni and Almudena Alonso-Herrero and Hermosa Muñoz Laura and Gabriela Speranza},

url = {https://doi.org/10.1093/mnras/staf2047},

year  = {2026},

date = {2026-11-01},

journal = {Monthly Notices Of The Royal Astronomical Society},

volume = {545},

number = {1},

pages = {1-10},

abstract = {We have carried out a detailed analysis of the 3.4 ?m spectral feature arising from Polycyclic Aromatic Hydrocarbons (PAH),

using James Webb Space Telescope archival data. For the first time in an external galaxy (NGC 6240), we have identified two

distinct spectral components of the PAH 3.4 ?m feature: a shorter wavelength component at 3.395 ?m, which we attribute to

short aliphatic chains tightly attached to the aromatic rings of the PAH molecules; and a longer wavelength feature at 3.405 ?m

that arises from longer, more fragile, aliphatic chains that are weakly attached to the parent PAH molecule. These longer chains

are more easily destroyed by far-ultraviolet photons (>5 eV) and PAH thermal emission only occurs where PAH molecules

are shielded from more energetic photons by dense molecular gas. We see a very strong correlation in the morphology of the

PAH 3.395 ?m feature with the PAH 3.3 ?m emission, the latter arising from robust aromatic PAH molecules. We also see an

equally strong correlation between the PAH 3.405 ?m morphology and the warm molecular gas, as traced by H2 vibrational

lines. We show that the flux ratio PAH 3.395/PAH 3.405 < 0.3 corresponds strongly to regions where the PAH molecules are

shielded by dense molecular gas, so that only modestly energetic UV photons penetrate to excite the PAHs. Our work shows that

PAH 3.405 ?m and PAH 3.395 ?m emission features can provide robust diagnostics of the physical conditions of the interstellar

medium in external galaxies, and can be used to quantify the energies of the photon field penetrating molecular clouds.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang_4202,

title = {SCS-SupCon: Sigmoid-based common and style supervised contrastive learning with adaptive decision boundaries},

author = {Bin Wang and Fadi Dornaika and Jinan Charafeddine},

url = {http://dx.doi.org/10.1016/j.eswa.2026.131308},

year  = {2026},

date = {2026-05-01},

journal = {Expert Systems With Applications},

volume = {311},

pages = {131308},

abstract = {Image classification can be inherently challenging due to subtle inter-class differences and substantial intra-class

variations, limiting the effectiveness of existing contrastive learning approaches. In particular, supervised con-

trastive methods based on the InfoNCE loss often suffer from the negative-sample dilution issue and lack explicit

mechanisms for adaptive decision-boundary control, significantly weakening their discriminative capability on

fine-grained image classification tasks. To address these challenges, we propose a novel supervised contrastive

learning framework, termed Sigmoid-based Common and Style Supervised Contrastive Learning (SCS-SupCon). In

this framework, we introduce a sigmoid-based pairwise contrastive loss with adaptive decision boundaries, explic-

itly parameterized by learnable temperature and bias terms. This design places greater emphasis on critical dis-

criminative information from hard negatives, thereby alleviating the problem of negative-sample dilution while

fully leveraging supervision signals in contrastive learning. Furthermore, we incorporate an explicit style-distance

constraint to disentangle style and content representations, leading to more robust and discriminative feature

learning. Comprehensive experiments on six benchmark datasets, including prominent fine-grained datasets such

as CUB200-2011 and Stanford Dogs, consistently demonstrate that our proposed SCS-SupCon achieves superior

performance over the most closely related InfoNCE-based supervised contrastive baselines (SupCon, SelfCon, CS-

SupCon and its overlapping variant) across diverse CNN and Transformer backbones. In particular, on CIFAR-100

with a ResNet-50 encoder, SCS-SupCon improves the mean top-1 accuracy over SupCon by about 3.9 percent-

age points and over CS-SupCon by about 1.7 percentage points under a five-fold cross-validation protocol. On

challenging fine-grained datasets such as CUB200-2011 and Stanford Dogs with both CNN and Transformer

architectures, our method achieves absolute improvements of approximately 0.4-3.0 percentage points over CS-

SupCon. Extensive ablation studies and paired statistical tests further confirm the robustness and effectiveness

of our framework, and a Friedman test with Nemenyi post-hoc analysis shows that SCS-SupCon attains the best

average rank among the evaluated methods, even though pairwise differences with other strong competitors are

not always statistically significant at the 0.05 level.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{du_4028,

title = {Sequentiality and Simultaneity in R&D Collaboration With Multiple Partner Types: Complexity and Managerial Resource Constraints in R&D Projects},

author = {Jingshu Du and Rene Belderbos and Bart Leten and Wim Vanhaverbeke},

url = {https://doi.org/10.1111/radm.70037},

year  = {2026},

date = {2026-03-01},

journal = {R & D Management},

volume = {56},

number = {2},

pages = {410-423},

abstract = {R&D collaborations involving multiple types of partners have the potential to generate impactful innovations but also pose significant coordination challenges. Taking a coordination perspective, this study develops and tests a theoretical framework

on the optimal temporal coordination of partner relationships in such collaborations. We argue that the effective coordination of multiple types of collaboration partners in R&D projects requires a balanced approach, combining episodes of simultaneous involvement of all partners with periods of sequential engagement with individual partners. Moreover, we propose that the relative emphasis on simultaneous versus sequential involvement depends on project-specific factors, including the complexity of technology development and the availability of managerial resources. Our analysis of 454 R&D projects undertaken by a

major European electronics firm, in collaboration with diverse partner types (science-based partners such as universities and

research institutions, versus market-based partners such as suppliers and customers), provides robust empirical support for these hypotheses.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bi_4203,

title = {A Re-Node self-training approach for deep graph-based semi-supervised classification on multi-view image data},

author = {Jingjun Bi and Fadi Dornaika and Jinan Charafeddine},

url = {https://doi.org/10.1016/j.inffus.2025.103887},

year  = {2026},

date = {2026-03-01},

journal = {Information Fusion},

volume = {127},

number = {Part C},

pages = {103887},

abstract = {Recently, graph-based semi-supervised learning and pseudo-labeling have gained attention due to their effectiveness in reducing the need for extensive data annotations. Pseudo-labeling uses predictions from unlabeled data to improve model training, while graph-based methods are characterized by processing data represented as graphs. However, the lack of clear graph structures in images combined with the complexity of multi-view data limits the efficiency of traditional and existing techniques. Moreover, the integration of graph structures in multi-view data is still a challenge. In this paper, we propose Re-node Self-taught Graph-based Semi-supervised Learning for Multi-view Data (RSGSLM). Our method addresses these challenges by (i) combining linear feature transformation and multi-view graph fusion within a Graph Convolutional Network (GCN) framework, (ii) dynamically incorporating pseudo-labels into the GCN's loss function to improve classification in multi-view data, and (iii) correcting topological imbalances by adjusting the weights of labeled samples near class boundaries. Additionally, (iv) we introduce an unsupervised smoothing loss applicable to all samples. This combination optimizes performance while maintaining computational efficiency.

Experimental results on multi-view benchmark image datasets demonstrate that RSGSLM surpasses existing semi-supervised learning approaches in multi-view context},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ben_elechi_4057,

title = {Analysis of cambering, twist, and opening sections for springback prediction},

author = {Slim Ben Elechi and Mohamed Guerich},

url = {https://doi.org/10.1556/606.2025.01443},

year  = {2026},

date = {2026-02-01},

journal = {Pollack Periodica},

abstract = {The accurate prediction of springback in sheet metal forming remains a significant challenge in industrial manufacturing, given its impact on dimensional accuracy and product quality. The present study investigates the effects of both process and material parameters on springback, focusing on geometric deviations like cambering, twist, and opening in the final part. A comprehensive analysis encompassed three coefficients of friction, four constitutive models, and three yield functions. The deep drawing of an automotive side sill closing was selected as a case study representative of the subject. The findings indicate that the coefficient of friction exerts a predominant influence on all three springback indicators - cambering, twist, and opening. Conversely, the selection of constitutive model has a comparatively negligible effect, particularly on twist prediction.},

note = {Volume/Issue:

    Accepted Manuscript / Online First},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{mohamed_taha_4077,

title = {Optimization of the Performance of Bimorph Piezoelectric Energy Harvesters with Honeycomb Metamaterials Using Artificial Neural Networks and NSGA-II},

author = {Mhiri Mohamed Taha and Walid Larbi and Mnaouar Chouchane and Mohamed Guerich},

url = {https://doi.org/10.13052/ejcm2642-2085.34346},

year  = {2026},

date = {2026-02-01},

journal = {European Journal of Computational Mechanics},

volume = {34},

number = {3&4},

abstract = {Honeycomb-based metamaterials have recently attracted considerable interest for their potential in energy-harvesting applications. In this paper, we focus on two types of bimorph harvesters incorporating honeycomb substrates with positive and negative Poisson's ratios (PPR and NPR). The substrates are coupled with piezoceramic (PZT) layers to enable electromechanical conversion. To improve energy-harvesting efficiency, we propose an optimization framework that integrates finite element (FE) simulations for data generation, a pretrained neural network for rapid performance prediction and the NSGA-II evolutionary algorithm for multiobjective optimization. The proposed strategy enables the identification of optimal geometric parameters of the honeycomb cells, particularly for cantilever resonators where the fundamental vibration modes are critical and must be tuned to specific eigenfrequencies for engineering applications. The optimization is applied to an initially unoptimized bimorph harvester with a honeycomb substrate. The simulation results indicate that an optimized harvester with an NPR metamaterial substrate can increase the power-to-mass ratio at a resonance frequency of 160 Hz by approximately 14.72% compared to the unoptimized honeycomb harvester. Moreover, compared to a harvester with a solid substrate, the improvement reaches 5%. Furthermore, a life cycle analysis was conducted, showing that the honeycomb substrate can significantly increase the operational lifetime of the piezoceramic layer. This improvement arises because the honeycomb substrate reduces the equivalent stress on the active layer. At high acceleration levels, the predicted operational lifetime is enhanced by more than tenfold compared to the solid substrate, since the PZT material is brittle and lacks flexibility. This improvement is notable because it surpasses the typical lifespan of both standard button batteries and rechargeable batteries highlighting a strong potential of this design for future applications.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gayatri_4207,

title = {Fast interlayer energy transfer from the lower bandgap MoS2 to the higher bandgap WS2},

author = {Gayatri Gayatri and Mehdi Arfaoui and Debashish Das and Tomasz Kazimierczuk and Sabrine Ayari and Natalia Zawadzka and Takashi Taniguchi and Kenji Watanabe and Adam Babi?ski and Saroj K Nayak and Maciej R Molas and Arka Karmakar},

url = {https://doi.org/10.1038/s41699-026-00661-w},

year  = {2026},

date = {2026-02-01},

journal = {Npj 2D Materials And Applications},

volume = {10},

number = {25},

abstract = {Energy transfer (ET) is a dipole-dipole interaction, mediated by the virtual photon. Traditionally, ET happens from the higher (donor) to lower bandgap (acceptor) material. However, in some rare instances, ET can happen from the lower-to-higher bandgap material, depending on the strong overlap between the acceptor photoluminescence (PL) and the donor absorption spectra. In this work, we report an ET process from the lower bandgap MoS2 to the higher bandgap WS2, due to a near ?resonant' overlap between the MoS2 B and WS2 A excitonic levels. Changing the MoS2 bandgap from direct-to-indirect by increasing the layer number results in a reduced ET rate, evidenced by the quenching of the WS2 PL emission. Our work shows at 300?K, the ET timescale of ~33?fs is faster than the reported thermalization of the MoS2 excitonic intervalley scattering (K???K') time and competing with the ultrafast charge transfer timescale. Thus, allowing us to open a new direction in understanding the competing inter/intralayer processes.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ketata_4268,

title = {Performance Enhancement of Bonded Aluminum Composite Panels through Control of Polyethylene Core Thickness},

author = {HAJER KETATA and Naila Hfaiedh and Hatem Ksibi},

url = {https://doi.org/10.1021/acsomega.5c12525},

year  = {2026},

date = {2026-02-01},

journal = {Acs Omega},

volume = {1},

abstract = {This study analyzes the global mechanical behavior and performance optimization of Aluminum Composite Panels (ACP) with a polyethylene (PE) core. Conventional multilayer ACP designs often lead to excessive material use and high weight. The effect of PE core thickness on mechanical performance was investigated to reduce the number of layers while maintaining structural integrity. Experimental tensile tests and finite element (FEM) simulations using ABAQUS/Explicit were conducted to evaluate the elastic and plastic deformation of ACP up to failure. The combined effects of core thickness and the number of sandwich layers were systematically analyzed. Results show that the apparent Young's modulus (Eapp) decreases with increasing core thickness and number of layers. Adjusting the PE core thickness allows a single ACP to replace multiple bonded panels while maintaining equivalent load-bearing capacity. A single ACP with a 10 mm PE core can replace three 4 mm bonded panels. This approach reduces aluminum consumption, structural weight, and material usage while promoting the use of recyclable polymer cores. The findings highlight the relevance of the apparent modulus as a key design parameter and confirm the potential of ACPs as lightweight, high-performance, and sustainable materials for industrial applications.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chu_3793,

title = {A general framework and an individual dominance realization model for efficient fixed cost allocation based on DEA},

author = {Junfei Chu and Yanhua Dong and Zhe Yuan and Weijiao Wang},

url = {https://www.sciencedirect.com/science/article/abs/pii/S0305048325001082?via%3Dihub},

year  = {2026},

date = {2026-01-01},

journal = {Omega-International Journal Of Management Science},

volume = {138},

pages = {103382},

abstract = {Data Envelopment Analysis (DEA) has become a powerful tool for addressing fixed cost allocation (FCA) problems. Among the numerous DEA-based FCA studies, a significant category seeks to make all Decision-making Units (DMUs) efficient under a set of common weights after cost allocation, falling under the common-weights FCA framework. However, the classical DEA efficiency evaluation mechanism does not require all DMUs to be evaluated based on a set of common weights. Instead, a DMU is considered efficient if it can choose its favorable weights to achieve an efficiency score of one while ensuring that the efficiencies of other DMUs do not exceed one. Motivated by this, we develop a novel and general efficient FCA framework that allocates the total fixed cost by allowing each DMU to select its preferred weights to be efficient. We prove that the FCA possible set under the traditional common-weights framework is a subset of that under this new framework. Then, an Assurance Region (AR) constraint on fixed costs is introduced to avoid extreme allocation schemes. Moreover, an individual dominance realization strategy and a FCA model based on it are proposed within this framework, aimed at minimizing each DMU's cross-efficiencies from the perspective of all other DMUs while ensuring its self-assessed efficiency remains at one. Additionally, an algorithm is introduced to guarantee the uniqueness of the FCA scheme. A numerical example and a case study from the Shanghai Automotive Industry Corporation are used to validate the effectiveness of this approach and compare it with other classic methods.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{micica_4074,

title = {Terahertz Electronic and Spin Currents in Wafer?Scale Van der Waals Bi                    2                    Se                    3                    /WSe                    2                    Heterostructures and Polymorphs},

author = {Martin Mi?ica and Adrien Wright and Sylvain Massabeau and Sabrine Ayari and Enzo Rongione and Mario Oliveira Ribeiro and Sajid Husain and Rahul Sharma and Thibaud Denneulin and Rafak.E Dunin?Borkowski and Juliette Mangeney and Jérôme Tignon and Romain Lebrun and Hanoko Okuno and Olivier Boulle and Alain Marty, and Frédéric Bonell and Francesca Carosella and Henri Ja?rés and Robson Ferreira and Jean?Marie George and Jamet Matthieu and Dhillon Sukhdeep},

url = {https://doi.org/10.1002/adma.202506031},

year  = {2026},

date = {2026-01-01},

journal = {Advanced Materials},

volume = {38},

number = {1},

pages = {e06031},

abstract = {Van der Waals heterostructures and polymorphs have promised the realization of artificial materials with multiple physical phenomena such as giant optical nonlinearities, spin-to-charge interconversion in spintronics and topological carrier protection, through an infinitely diverse set of 2D quantum materials and their stacking order in a single layered device. However, their exploitation for the terahertz range has been limited with most investigations based around the optical domain, owing to the use of exfoliated material that inherently limits both the dimensions of the materials and the scalability for applications. Here, the combination of terahertz electronic and spin currents is demonstrated through the realization of large area complex crystalline heterostructures of topological insulators, transition metal dichalcogenides (TMDs) and ferromagnets. This is demonstrated through down-conversion of optical beams into coherent terahertz currents, where the terahertz phase permits the decoupling of the physical phenomena, and bringing novel functionalities beyond those achievable in simple homostructures. In particular, the role of different TMD polymorphs (stacking orders - 1T?, 2H, and 3R) is shown with the simple change of one atomic monolayer of the material stack entirely changing the terahertz responses - both electrical and magnetic - of the artificial material. This allows to highlight ultrafast phenomena that combine both the electronic- and spin-based processes in these structures. The importance of the crystal symmetry on the magnetic properties through proximity effects is further demonstrated, showing a nonlinearity of magnetic origin as a result of the 1T? polymorph. As well as control of the terahertz currents through different polymorphs, this scalable integration of a set of highly diverse materials establishes a platform for next-generation 2D heterostructures that integrate photonic, electronic, and spintronic properties into device architectures.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{wang_4139,

title = {Bi-Objective optimisation for synchronising replenishment and storage assignment: achieving energy efficiency and blocking avoidance in forward-reserve warehousing},

author = {Lin Wang and Ning Zhang and Sirui Wang and Xuerui Wang and Zhe Yuan},

url = {https://doi.org/10.1080/00207543.2026.2618574},

year  = {2026},

date = {2026-01-01},

journal = {International Journal Of Production Research},

abstract = {The forward-reserve warehouse is an integrated robotic storage and picking system, which combines

a reserve area equipped with an automatic storage/retrieval system and a forward area supported

by a robotic mobile fulfilment system. Blocking in FRWs leads to energy dissipation and inefficiency,

strongly affected by storage assignment and replenishment timeliness. However, existing research

rarely focuses on systematically quantifying the benefits of replenishment and storage assignment

synchronous optimisation with blocking avoidance. To address this gap, we formulate a new bi-

objective model to improve both energy efficiency and timeliness, explicitly developing two tailored

mathematical evaluation models for energy consumption and blocking. We design a novel ENSGA-II

algorithm and integrate it with an LSTM network to solve the problem. Experimental results show

that the ENSGA-II achieves superior distribution and faster convergence, as measured by HV/GD/IGD

across all scales. We also conduct a comprehensive sensitivity analysis and discuss the results in

detail. The findings reveal that a medium number of picking stations ensures the best balance

between energy efficiency and timeliness objectives. The FRW achieves optimal performance when

the station ratio between the forward and reserve areas remains in a medium range (e.g., 4/20 to

12/8). Additionally, SKU-type diversity in the forward area significantly affects system costs. Both

low and high diversity reduce costs, while medium diversity (e.g., 0.5) results in the least benefits.

In particular, small-scale warehouses benefit more from higher SKU-type diversity},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{taieb_4201,

title = {Le processus d'intention d'achat en ligne à l'ère du live streaming commerce?: rôle central de l'expérience de flow},

author = {Basma Taieb and Jean-Éric Pelet},

url = {https://doi.org/10.1177/07673701251408},

year  = {2026},

date = {2026-01-01},

journal = {Recherche et Application en Marketing},

volume = {41},

number = {1},

pages = {96-123},

abstract = {Cette recherche propose un modèle intégré expliquant comment la confiance du consommateur et l'expérience de flow s'articulent de manière complémentaire dans le processus d'intention d'achat lors du live streaming commerce (LSC). Ce modèle, fondé sur les théories de l'échange social et du flow, introduit deux routes principales : la route cognitive établit le lien entre les caractéristiques du streamer et la confiance envers le produit et la route affective associe les caractéristiques du LSC à l'expérience de flow. Une troisième route qualifiée de mixte représente la relation entre la confiance et l'expérience de flow. Cette route mixte illustre les mécanismes séquentiels conduisant à l'intention d'achat en ligne. Dans un premier temps, une étude qualitative a permis de consolider la pertinence des concepts intégrés dans le modèle de recherche. Par la suite, une étude quantitative réalisée en France auprès de 555 répondants a permis de tester le modèle proposé. Les résultats révèlent la médiation totale de la confiance concernant l'effet des caractéristiques du streamer sur l'intention d'achat. Ils montrent également la médiation totale de l'expérience de flow. La confiance représente ainsi une base cognitive nécessaire mais insuffisante pour accroître l'intention d'achat en ligne. Ce n'est que par son effet médiatisé via l'expérience de flow que cette intention s'intensifie. La mise en évidence de l'articulation entre la confiance (cognition) et le flow (affect) éclaire les mécanismes sous-jacents à l'intention d'achat en ligne et ouvre de nouvelles perspectives de recherche.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boersma_4206,

title = {Integrated Strategies for Union Legitimacy (Re)Building: A Process Model},

author = {Martijn Boersma and Emmanuel Josserand},

url = {https://doi.org/10.1111/irel.70021},

year  = {2026},

date = {2026-01-01},

journal = {Industrial Relations},

abstract = {This study presents a longitudinal analysis examining the process by which the Transport Workers Union (re)established its legitimacy through an integrated strategy encompassing comprehensive campaigns in road transport, aviation, and the gig economy in Australia. We reveal how unions can gain pragmatic legitimacy through power recomposition, moral legitimacy through moral framing, and cognitive legitimacy through the shaping of assumptions. We reveal the systematic transfer of proven strategies to different parts of the industry, adapting to specific conditions and audiences. Our findings provide a framework for unions to revitalize their influence within a dynamic industrial relations landscape.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@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  = {2025},

date = {2025-12-01},

journal = {Technology Analysis & Strategic Management},

volume = {37},

number = {2},

pages = {2755-2770},

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 = {published},

tppubtype = {article}

}

@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  = {2025},

date = {2025-12-01},

journal = {The Journal of Legislative Studies},

volume = {31},

number = {4},

pages = {1009-1038},

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 = {published},

tppubtype = {article}

}

@article{xiao_3803,

title = {Metric learning-enhanced semi-supervised Graph Convolutional Network for multi-view learning},

author = {Huaiyuan Xiao and Fadi Dornaika and Jinan Charafeddine and Jingjun Bi},

url = {https://doi.org/10.1016/j.inffus.2025.103420},

year  = {2025},

date = {2025-12-01},

journal = {Information Fusion},

volume = {124},

pages = {103420},

abstract = {Multi-view learning utilizes data from diverse perspectives or modalities, integrating complementary infor

mation from various sources. It plays a crucial role in intelligent systems and finds extensive applications in 

fields such as computer vision, recommender systems, and natural language processing. With the increasing 

complexity and heterogeneity of real-world data, the integration of Graph Convolutional Networks (GCNs) in 

multi-view learning scenarios is becoming increasingly important. Despite the advances in GCNs, it remains a 

major challenge to effectively generalize models and improve their stability across different data views. In this 

paper, we present a novel framework, the Enhanced Triplet Loss Based Semi-Supervised Graph Convolutional 

Network for Multi-View Learning (MV-TriGCN), which addresses these challenges through three primary 

innovations. First, we propose an enhanced triplet loss for deep metric learning tailored to the hidden features 

of GCNs based on semi-hard negative sample selection. Second, view graphs are constructed using the classical 

KNN scheme and a semi-supervised flexible method to improve the diversity of data structure representation 

resulting in a more stable hypothesis space. Moreover, we learn an end-to-end multi-view GCN by merging all 

available graphs and utilizing the aggregated cross-entropy losses and deep metric losses. Finally, we introduce 

a stepwise training strategy that allows the model to adapt to the losses during different optimization phases. 

Extensive experiments show that our method outperforms existing state-of-the-art approaches in terms of  accuracy and stability},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{maroun_3948,

title = {Integrating ConvNeXt and vision transformers for enhancing facial age estimation},

author = {Ghaby Maroun and Salah Eddine Bekhouche and Jinan Charafeddine and Fadi Dornaika},

url = {http://dx.doi.org/10.1016/j.cviu.2025.104542},

year  = {2025},

date = {2025-12-01},

journal = {Computer Vision And Image Understanding},

volume = {262},

pages = {104542},

abstract = {Age estimation from facial images is a complex and multifaceted challenge in computer vision. In this study, we present a novel hybrid architecture that combines ConvNeXt, a state-of-the-art advancement of convolutional neural networks

(CNNs), with Vision Transformers (ViT). While each model independently delivers excellent performance on a variety of tasks, their integration leverages the complementary strengths of the CNNs' localized feature extraction capabilities and the Transformers' global attention mechanisms. Our proposed ConvNeXt-ViT hybrid solution was thoroughly evaluated on benchmark age estimation datasets, including MORPH II, CACD, and AFAD, and achieved superior performance in terms of mean absolute error (MAE). To address computational constraints, we leverage pre-trained models and systematically explore different configurations, using linear layers and advanced regularization techniques to optimize the architecture. Comprehensive ablation studies highlight the critical role of individual components and training strategies, and in particular emphasize the importance of adapted attention mechanisms within the CNN framework to improve the model's

focus on age-relevant facial features. The results show that the ConvNeXt-ViT hybrid not only outperforms traditional methods, but also provides a robust foundation for future advances in age estimation and related visual tasks. This work underscores the transformative potential of hybrid architectures and represents a promising direction for the seamless integration of CNNs and transformers to address complex computer vision challenges.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhao_4067,

title = {Structure-Coupled Numerical Modeling of Self-Gradient in Airborne Gravity Gradiometers},

author = {Wei Zhao and Qianlong Wu and Mingbiao Yu and Zhiqiang Wang and Xicheng Song and Yuanhang Sun and Liang Zhang},

url = {https://doi.org/10.1109/JSEN.2025.3641664},

year  = {2025},

date = {2025-12-01},

journal = {Ieee Sensors Journal},

pages = {1-1},

abstract = {Self-gradient in airborne gravity gradiometers arises from the instrument's internal mass distribution and varies nonlinearly with platform attitude, thereby degrading measurement accuracy. Conventional compensation approaches based on multi-attitude measurements and parameter fitting exhibit limited predictive capability and often fail to capture higher-order tensor effects. To address this issue, a structure-coupled numerical framework is developed for modeling self-gradient in moving-base gravity gradiometers. The instrument's 3D CAD model and time-varying attitude drive a volumetric discretization of the structure, while gravitational-acceleration excitation on gradient-sensitive accelerometers is computed using a hybrid solver that combines closed-form analytic formulas for cuboidal elements with Gaussian quadrature for tetrahedra. The model preserves second- and higher-order gravity-gradient tensor contributions and generates attitude-dependent self-gradient maps. Verification against a standard rectangular-prism reference shows that the tetrahedral-Gaussian scheme achieves an error better than 0.3 E at the current mesh resolution, with a representative instrument configuration further demonstrating yaw-, roll-, and pitch-dependent responses. The framework thus provides a predictive tool for design-stage analysis and feed-forward compensation, directly linking 3D structural models with self-gradient computation to support intelligent manufacturing and system-level optimization of airborne gravity gradiometers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{chevalier_4076,

title = {Security Models and Cryptographic Protocols in a Quantum World},

author = {Céline Chevalier and Paul Hermouet and Quoc Huy Vu},

url = {http://dx.doi.org/10.1561/0400000122},

year  = {2025},

date = {2025-12-01},

journal = {Foundations and Trends in Theoretical Computer Science},

volume = {17},

number = {1-2},

pages = {1-140},

abstract = {The emergence of quantum computing has provided new paradigms for cryptography. On the one hand, it poses significant new threats to existing classically cryptographic systems, requiring the community to define new security models that capture what a quantum adversary can do. On the other hand, it gives us new tools to design cryptographic protocols, with weaker assumptions than in the classical world, or even protocols that are impossible classically.



In this survey, we first give an overview of new security definitions for classical cryptography, considering quantum adversaries who can either only use local quantum computation (post-quantum security), or even send quantum messages and in particular have access to oracle in superposition (quantum security). We explore these new notions through the examples of commitments, zero-knowledge proofs, encryption, and signatures. Then, we present what is arguably the most famous application of quantum cryptography: quantum key distribution (QKD) protocols that take advantage of unique properties of quantum mechanics to provide secure communication unconditionally. We also explore cryptography beyond QKD, focusing on unclonable cryptography: a family of cryptographic functionalities, built with quantum states, and designed to be resistant to counterfeit by leveraging the ?no-cloning? theorem. We examine in particular quantum money, but also the recent notions of unclonable encryption and copy-protection, including related variants.



By presenting a comprehensive survey of these topics, this paper aims to provide a thorough understanding of the current landscape and future potential of quantum cryptography.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{barzaga_4080,

title = {Peculiarities in the infrared emission of polycyclic aromatic hydrocarbon-C60 adducts},

author = {Ransel Barzaga and Bouthéïna Kerkeni and Domingo Anibal García-Hernández and Xavier Ribas and Tania Pelachs and Minia Manteiga and Arturo Manchado and Marco Gómez-Muñoz and Teresa Huertas-Roldán and Ghofrane Ouerfelli},

url = {https://doi.org/10.1051/0004-6361/202554031},

year  = {2025},

date = {2025-12-01},

journal = {Astronomy & Astrophysics},

volume = {704},

number = {A&A},

pages = {20},

abstract = {The coexistence of polycyclic aromatic hydrocarbons (PAHs) and the C60 fullerene in different astrophysical environments can give rise to the formation of new complex species denoted as PAH-C60 adducts, which may contribute to the infrared (IR) emission observed. These PAH-C60 adducts have previously been reported experimentally due to the high reactivity between PAHs and C60. From an astrophysical point of view, however, they have not been considered in detail yet. Here, we performed a combined experimental and theoretical study in order to characterize the IR spectra of PAH-C60 adducts, including multiple adducts. Using new advanced experimental techniques, we were able to synthesize some specific PAH-C60 adduct isomers and measure their IR spectra. These experimental data were used to correct their harmonic scaled spectra, as obtained from quantum-chemistry calculations performed at the density functional theory (DFT) level under the B3LYP-GD3/6-31+G(d) approach. This way, we simulated the IR (~3-25 ?m) spectra of multiple PAH-C60 adducts, composed by a different number of PAH units: mostly one or two units. In addition, the chemical kinetics data available in the literature were used to tentatively estimate the possible order of magnitude of the abundances of these PAH-C60 adducts using the available observational data. Essentially, our results revealed a possible strong modification of the IR spectra when astronomically estimated abundances are considered. Several spectral peculiarities are observed, such as a broad ~3.4-3.6 ?m feature, and important modifications in the 6-10 and 12-16 ?m spectral regions together with contributions to the C60 features at 7.0 and 18.9 ?m. Interestingly, these PAH-C60 adducts lack aliphatic CH bonds, but they display IR features around 3.4 ?m, challenging previous interpretations of this astronomical feature.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{abuzerr_4083,

title = {Epidemiological surveillance of waterborne diseases among displaced populations: A cross-sectional},

author = {Samer Abuzerr and Hani Hamdan and Jinan Charafeddine},

url = {http://dx.doi.org/10.1371/journal.pgph.0005527},

year  = {2025},

date = {2025-12-01},

journal = {PLOS Global Public Health},

volume = {5},

number = {12},

pages = {e0005527},

abstract = {Armed conflict and forced displacement in the Gaza Strip have severely disrupted access to safe water and sanitation, increasing the risk of waterborne diseases. This study aimed to assess the prevalence of waterborne illness symptoms and evaluate water quality, sanitation conditions, and associated risk factors among internally displaced persons (IDPs) in Gaza. A cross-sectional survey was conducted from March 16 to July 2, 2025, involving 1,200 displaced individuals residing in temporary shelters across five governorates. Data were collected on self-reported symptoms, water sources, sanitation access, and hygiene practices. In addition, 240 household water samples (20%) were microbiologically tested for fecal coliforms and Escherichia coli. Logistic regression was used to identify factors associated with reported illness. Among participants, 31.5% reported symptoms consistent with waterborne illness, with the highest prevalence among children under five years (38.3%). Only 27.5% accessed piped or humanitarian water, whereas 61.2% relied on trucked water from unregulated vendors. Shared sanitation was common, with 45.4% using latrines shared by ?5 families, and 31.7% lacking soap. Microbiological testing showed that 74.2% of water samples exceeded WHO thresholds for fecal coliforms and 62.5% tested positive for E. coli, with significantly higher contamination in water from unregulated vendors (p?
keywords = {},

pubstate = {published},

tppubtype = {article}

}