Publication

@article{makki_3409,

title = {Asymptotic behavior of the coupled Allen-Cahn/Cahn-Hilliard system with proliferation term},

author = {Ahmad Makki and RIM MHEICH and Madalina Petcu and Raafat Talhouk},

url = {https://doi.org/10.1016/j.jmaa.2025.129382},

year  = {2025},

date = {2025-08-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {548},

number = {1},

pages = {129382},

abstract = {In this article, we investigate the coupled Allen-Cahn/Cahn-Hilliard equations with

a proliferation term, which can model the growth of cancerous tumors and other

biological entities. We focus on establishing the existence, uniqueness, and regularity

of solutions, as well as analyzing their asymptotic behavior, with particular attention

to the existence of finite-dimensional attractors. The system is considered under

Dirichlet boundary conditions, and we introduce assumptions on the proliferation

term to ensure dissipativity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benkraiem_2959,

title = {Access to finance and corporate tax avoidance: International evidence},

author = {Ramzi Benkraiem and Safa Gaaya and Faten Lakhal and Merve Kilic},

url = {https://www.sciencedirect.com/science/article/pii/S1061951824000740},

year  = {2025},

date = {2025-06-01},

journal = {Journal of International Accounting, Auditing and Taxation},

volume = {58},

pages = {100668},

abstract = {This paper investigates the relationship between access to finance and corporate tax avoidance. Using a sample of 63,443 firm-year observations from 37 countries, the results reveal that firms suffering from limited access to finance are more inclined to engage in tax avoidance practices. The results also show that increased levels of financial constraints are positively associated with tax avoidance for firms operating in countries with high economic and policy uncertainty and high government debt level. Further evidence shows that the difficulty to access finance increases tax avoidance in countries with weak investor protection. Our results are robust after addressing endogeneity concern and using different measures of financial constraints, tax avoidance, and countries' institutional environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{dornaika_3401,

title = {Semi-supervised learning for multi-view and non-graph data using Graph Convolutional Networks},

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

url = {https://www.sciencedirect.com/science/article/abs/pii/S0893608025000978?via%3Dihub},

year  = {2025},

date = {2025-05-01},

journal = {Neural Networks},

volume = {185},

pages = {107218},

abstract = {Semi-supervised learning with a graph-based approach has become increasingly popular in machine learning, particularly when dealing with situations where labeling data is a costly process. Graph Convolution Networks (GCNs) have been widely employed in semi-supervised learning, primarily on graph-structured data like citations and social networks. However, there exists a significant gap in applying these methods to non-graph multi-view data, such as collections of images. To bridge this gap, we introduce a novel deep semi-supervised multi-view classification model tailored specifically for non-graph data. This model independently reconstructs individual graphs using a powerful semi-supervised approach and subsequently merges them adaptively into a unified consensus graph. The consensus graph feeds into a unified GCN framework incorporating a label smoothing constraint.

To assess the efficacy of the proposed model, experiments were conducted across seven multi-view image datasets. Results demonstrate that this model excels in both the graph generation and semi-supervised classification phases, consistently outperforming classical GCNs and other existing semi-supervised multi-view classification approaches. 1},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sebban_3516,

title = {Improving visual perception through technology: a comparative analysis of real-time visual aid systems},

author = {Othmane Sebban and Ahmed Azough and Mohamed Lamrini},

url = {https://telkomnika.uad.ac.id/index.php/TELKOMNIKA/article/view/26455},

year  = {2025},

date = {2025-04-01},

journal = {TELKOMNIKA Telecommunication, Computing, Electronics and Control},

volume = {23},

number = {2},

pages = {349-370},

abstract = {Visually impaired individuals continue to face barriers in accessing reading and listening resources. To address these challenges, we present a comparative analysis of cutting-edge technological solutions designed to assist people with visual impairments by providing relevant feedback and effective support. Our study examines various models leveraging InceptionV3 and V4 architectures, long short-term memory (LSTM) and gated recurrent unit (GRU) decoders, and datasets such as Microsoft Common Objects in Context (MSCOCO) 2017. Additionally, we explore the integration of optical character recognition (OCR), translation tools, and image detection techniques, including scale-invariant feature transform (SIFT), speeded-up robust features (SURF), oriented FAST and rotated BRIEF (ORB), and binary robust invariant scalable keypoints (BRISK). Through this analysis, we highlight the advancements and potential of assistive technologies. To assess these solutions, we have implemented a rigorous benchmarking framework evaluating accuracy, usability, response time, robustness, and generalizability. Furthermore, we investigate mobile integration strategies for real-time practical applications. As part of this effort, we have developed a mobile application incorporating features such as automatic captioning, OCR based text recognition, translation, and text-to-audio conversion, enhancing the daily experiences of visually impaired users. Our research focuses on system efficiency, user accessibility, and potential improvements, paving the way for future innovations in assistive technology.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{askenazy_3447,

title = {Employment strategies in response to the first Covid lockdown: A typology of French workplaces},

author = {Philippe Askenazy and Clément Brébion and Pierre COURTIOUX and Christine Erhel and Malo Mofakhami},

url = {https://onlinelibrary.wiley.com/doi/full/10.1111/irel.12362},

year  = {2025},

date = {2025-04-01},

journal = {Industrial Relations},

volume = {64},

number = {2},

pages = {168-199},

abstract = {This research connects the literature on crisis management and on firm flexibility to investigate human resource (HR) strategies in response to unexpected crises such as the Covid-19 pandemic. Leveraging data from French workplaces we identify five main types of strategies implemented during the first lockdown, which go beyond the massive use of teleworking or the use of short-time work. The analysis demonstrates that a combination of preexisting HR practices (teleworking agreements, wage levels, risk exposure, and health and safety committees) and public policies (short-time programs, legislation on short-time contracts, and temps) influences which of these five strategies firms adopt.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhu_3394,

title = {CarNet: A generative convolutional neural network-based line-of-sight/non-line-of-sight classifier for global navigation satellite systems by transforming multivariate time-series data into images},

author = {Ni ZHU and Ruiwen He and Zhiqiang Wang},

url = {https://www.sciencedirect.com/science/article/pii/S0952197625001605?via%3Dihub},

year  = {2025},

date = {2025-04-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {145},

pages = {110160},

abstract = {Urban environments present significant challenges to commercial Global Navigation Satellite Systems (GNSS) receivers due to degraded satellite visibility and Non-line-of-sight (NLOS) receptions. Mitigating NLOS receptions for GNSS is essential, especially for safety-critical and reliability-critical location-based applications. Traditional physical error channel propagation modeling encountered bottlenecks since the NLOS and multipath errors cannot be modeled accurately in complex urban environments. Data-driven methods show significant potential for effectively classifying GNSS Line-of-sight (LOS) and NLOS. This paper proposes the CarNet - a generative Convolutional Neural Network (CNN)-based GNSS LOS/NLOS classifier by transforming multivariate time-series data into images. CarNet comprises two modules: an image generator and an image classifier. The image generator enriches and augments the original 1-dimension feature vector into 2-dimension feature maps and the image classifier uses an inception-based CNN to realize multi-scale feature extraction and classification. The proposed architecture is trained and tested on more than 6 h of real vehicle data collected in different challenging environments (about 1.6 million samples). A thorough benchmark is conducted, comparing CarNet against the existing mainstream Artificial Intelligence (AI) methods. The results with cross-validation on unseen data indicate that CarNet achieves the highest accuracy, i.e., 81.47% while maintaining the optimal balance between precision for both classes: 83.3% for LOS and 70.99% for NLOS. Finally, positioning accuracy is assessed using a reweighting strategy based on the LOS/NLOS information predicted by CarNet. The assessment of total datasets shows that CarNet weighting can achieve the best accuracy compared to the traditional weighting schemes based on signal-to-noise ratio or satellite elevation. CarNet shows strong potential for embedding into GNSS receivers to enhance positioning accuracy in complex urban environments, benefiting a wide range of location-based applications such as autonomous driving, emergency response, and urban logistics.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{molinet_3314,

title = {Global solutions for the one-dimensional Boussinesq-Peregrine system under small bottom variation},

author = {Luc Molinet and Raafat Talhouk},

url = {https://authors.elsevier.com/c/1kR-350k01EJ1},

year  = {2025},

date = {2025-04-01},

journal = {Journal Of Differential Equations},

volume = {423},

pages = {550-596},

abstract = {The Boussinesq-Peregrine system is derived from the water waves system in presence of topographic variation under the hypothesis of shallowness and small amplitude regime. The system becomes significantly simpler (at least in the mathematical sens) under the hypothesis of small topographic variation. In this work we study the long time and global well-posedness of the Boussinesq-Peregrine system. We start by showing the intermediate time well-posedness in the case of general topography (i.e. the amplitude of the bottom graph ?=O(1)). The novelty resides in the functional setting, Hs(R), s>12. Then we show our main result establishing that the global existence result obtained in [14] in the flat bottom case is still valid for the Boussinesq-Peregrine system under the hypothesis of small amplitude bottom variation (i.e. ?=O(?)). More precisely we prove that this system is unconditionally globally well-posed in the Sobolev spaces of type Hs(R), s>12. Finally, we show the existence of a weak global solution in the Schonbek sense [18], i.e. existence of low regularity entropic solutions of the small bottom amplitude BoussinesqPelegrine equations emanating from u0?H1and ?0in an Orlicz class as weak limits of regular solutions.

©2025 Elsevier Inc. All rights are reserved, including those for text and data mining, AI training, and similar technologies.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saeed_3498,

title = {CSR decoupling and financial fraud: Unveiling the hidden nexus in US-listed firms},

author = {Asif SAEED and Samreen Hamid and Riadh Manita and Phassawan Suntraruk},

url = {https://www.sciencedirect.com/science/article/pii/S0275531925000479},

year  = {2025},

date = {2025-03-01},

journal = {Research In International Business And Finance},

volume = {75},

pages = {102791},

abstract = {In an era marked by heightened transparency and growing social consciousness, many companies opt for symbolic Corporate Social Responsibility (CSR) communication rather than substantive action, giving rise to skepticism and a phenomenon known as 'CSR decoupling.' Moreover, revelations of financial fraud within ostensibly socially responsible firms exacerbate ethical concerns, raising doubts about their sincerity and regulatory oversight mechanisms. This study delves into US-listed firms to explore the nexus between CSR decoupling and financial fraud. Utilizing propensity score matching (PSM), the sample is meticulously drawn from 15,993 firm-year observations from US-listed firms. The research uncovers that firms engaged in CSR decoupling face elevated risks of financial misconduct. Additionally, deficient governance, subpar audit quality, and concentrated ownership structures amplify the likelihood of financial fraud. Our findings underscore the imperative for stakeholders and regulatory bodies to exercise discernment in scrutinizing CSR performance and disclosures, as managerial self-interests can skew CSR initiatives, misleading stakeholders.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{chu_3501,

title = {Data envelopment analysis fixed cost allocation based on dynamic bargaining game and the Nash equilibrium},

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

url = {http://dx.doi.org/10.1016/j.ejor.2025.03.009},

year  = {2025},

date = {2025-03-01},

journal = {European Journal Of Operational Research},

abstract = {Fixed cost allocation (FCA) poses a significant challenge for decision-making units (DMUs) contributing to a shared cost. Each DMU aims to allocate the minimum possible cost to itself. As a result, different DMUs hold varying and often conflicting allocation proposals and preferences, which prevents them from reaching a consensus on the FCA outcome. This paper develops a dynamic bargaining game-based fixed cost allocation (DBG-FCA) approach within the data envelopment analysis (DEA) framework to address this issue. The DBG-FCA approach employs an iterative process where each DMU proposes its preferred allocation during each iteration. All DMUs gradually converge on a consensus FCA outcome through dynamic negotiations and gradual compromise. Notably, this consensus upholds the individual rationality of each DMU, allowing them to align their proposals with their specific interests. Furthermore, the analysis establishes that the resulting FCA solution constitutes a Nash equilibrium, guaranteeing stability and universal acceptance among the DMUs. The effectiveness of the proposed approach is further illustrated through a numerical example and a case study involving FCA across 14 bank branches, along with a comparison to existing FCA methods.},

note = {In press JOURNAL PRE PROOF},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zhang_3500,

title = {The Evolution of Complex Global Innovation Collaboration Network: A Multilevel Analysis of a CoPS Industry 2001-2020},

author = {Beibei ZHANG and Ximing Yin and Jie Xiong and Zhe Yuan},

url = {https://ieeexplore.ieee.org/document/10916686/authors},

year  = {2025},

date = {2025-03-01},

journal = {Ieee Transactions On Engineering Management},

abstract = {Global innovation collaboration networks (GICNs) constitute a fundamental component of the innovation ecosystem and significantly contribute to the advancement of complex products and systems (CoPS) in the domain of engineering management. Despite their significance, existing research has not adequately captured the intricate dynamics of GICNs, particularly from an evolutionary perspective. This study seeks to fill this gap by employing a holistic approach to analyze the complexity and evolutionary characteristics of a representative CoPS industry, across macro-network, meso-module, and micro-motif levels. Utilizing global patent data from 2001 to 2020 pertaining to chip manufacturing, our analysis identifies distinct collaborative patterns across the macro, meso, and micro levels within GICNs. At the macro level, there is a discernible shift towards a distributed structure, epitomized by a ?big center, multi-centers, decentralization? trend. The meso level exhibits a progression towards a ?loosely coupled? configuration of technical sub-modules, reflecting a specialized division of labor. Notably, the micro level demonstrates a significant centralization in collaborative innovation, with enterprises playing a pivotal role. This investigation provides an exhaustive empirical examination of GICNs within the CoPS industry and offers novel insights into the evolution of such networks. Furthermore, it furnishes actionable recommendations for policymakers and engineering managers seeking to navigate the complexities of CoPS innovation, thus providing a strategic roadmap for collaboration and innovation management.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{dornaika_3466,

title = {Leveraging Graph Convolutional Networks for Semi-supervised Learning in Multi-view Non-graph Data},

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

url = {http://dx.doi.org/10.1007/s12559-025-10428-y},

year  = {2025},

date = {2025-03-01},

journal = {Cognitive Computation},

volume = {17},

pages = {73},

abstract = {Semi-supervised learning with a graph-based approach has gained prominence in machine learning, particularly in scenarios

where labeling data involves substantial costs. Graph convolution networks (GCNs) have found widespread application in

semi-supervised learning, predominantly on graph-structured data such as citation and social networks. However, a noticeable

gap exists in the application of these methods to non-graph multi-view data, such as collections of images. In an effort to

address this gap, we introduce two innovative deep semi-supervised multi-view classification models specifically tailored for

non-graph data. Both models share a common architecture, leveraging GCNs and integrating a label smoothing constraint.

The primary distinction lies in the construction of the consensus similarity graph. The first model directly reconstructs the

consensus graph from different views using a specialized objective function designed for flexible graph-based semi-supervised

classification. In contrast, the second model independently reconstructs individual graphs and subsequently adaptively merges

them into a unified consensus graph. Our experiments encompass various multiple-view image datasets. The results consis-

tently demonstrate the superior performance of our proposed approach compared to traditional fusion methods with GCNs. In

this research, we present two approaches for tackling semi-supervised classification challenges involving multiple views. One

method is named Semi-supervised Classification with a Unified Graph (SCUG), and the other is referred to as Semi-supervised

Classification with a Fused Graph (SC-Fused). Both methods share a common semi-supervised classification process, utilizing

the GCN framework and incorporating label smoothing. However, the key distinction lies in the construction of the similarity

graph. Unlike traditional ad hoc graph construction approaches, our proposed methods, SCUG and SC-Fused, estimate the

unified graph or individual graphs, respectively, alongside the labels. This results in more optimized graphs that benefit from

data smoothing and the semi-supervised context.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gull_3435,

title = {Navigating the black box: board co-option and environmental innovation},

author = {Ammar Ali Gull and Umer Iqbal and Abdul Ghafoor and Ammad Ahmed},

url = {https://www.emerald.com/insight/content/doi/10.1108/jal-05-2024-0103/full/html},

year  = {2025},

date = {2025-03-01},

journal = {Journal of Accounting Literature},

abstract = {Purpose

This study examines the impact of board co-option on environmental innovation and the moderating effect of firms' industrial context, ESG compensation and environmental policy stringency (EPS) on this relationship. Finally, we examine the implications of the board co-option and eco-innovation nexus on the market value of firms.



Design/methodology/approach

This study employs the system generalized method of moments (GMM) estimator on a longitudinal panel dataset of the US-listed firms to test the proposed hypotheses. The system GMM findings are substantiated using the entropy balancing method and difference-in-differences (DiD) estimations to better establish causality while addressing endogeneity concerns.



Findings

The findings provide evidence that board co-option has a negatively significant relationship with environmental innovation. Further analyses imply that the impact of board co-option on environmental innovation is positively significant among firms operating in environmentally sensitive industries, with ESG compensation for executives, and those operating in environments characterized by high environmental policy stringency. Taken together, these results suggest that industrial context, ESG compensation and environmental policy stringency moderate the impact of board co-option on environmental innovation. The results also reveal that more environmentally innovative firms attain greater market valuation when the board is co-opted.



Originality/value

This study is a novel attempt to contribute to the debate on board composition and its impact on corporate environmental innovation. It complements the existing literature on sustainability governance and accounting by providing an understanding of the impact of board co-option on corporate environmental innovation and highlights the role of regulatory pressure, industrial context and executive compensation structure in shaping this relationship. The findings offer valuable insights for academics, senior management and policymakers.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{obbadi_3392,

title = {A stable second-order splitting method for incompressible Navier-Stokes equations using the scalar auxiliary variable approach},

author = {Anouar Obbadi and Mofdi El-Amrani and Mohammed Seaid and Driss Yakoubi},

url = {https://www.sciencedirect.com/science/article/pii/S0045782525000738?dgcid=coauthor},

year  = {2025},

date = {2025-03-01},

journal = {Computer Methods In Applied Mechanics And Engineering},

volume = {437},

pages = {117801},

abstract = {We propose a novel second-order fractional-step method for the numerical solution of incompressible Navier-Stokes equations. This fractional-step method consists of two splitting steps and it employs the second-order implicit backward differentiation formula for the time integration.

Unlike most of the projection methods for solving incompressible Navier-Stokes equations, the proposed method is free from any numerical inconsistencies generated by the treatment

of boundary conditions on the pressure solution. Two pressure-correction strategies including the scalar auxiliary variable approach are proposed to enhance the accuracy of the method.

A rigorous stability analysis is also carried out in this study for the considered strategies.

Numerical results are presented for three benchmark problems to validate the unconditional stability and to demonstrate the performance of the proposed fractional-step method for solving unsteady incompressible viscous flows. The obtained computational results support our

theoretical expectations for an unconditionally stable second-order fractional-step method for the incompressible Navier-Stokes equations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{zhang_3199,

title = {A survey of evidential clustering: Definitions, methods, and applications},

author = {Zuowei Zhang and Yiru ZHANG and Hongpeng Tian and Arnaud Martin and Zhunga LIU and Weiping Ding},

url = {https://www.sciencedirect.com/science/article/pii/S1566253524005141},

year  = {2025},

date = {2025-03-01},

journal = {Information Fusion},

volume = {115},

pages = {102736},

abstract = {In the realm of information fusion, clustering stands out as a common subject and is extensively applied across various fields. Evidential clustering, an increasingly popular method in the soft clustering family, derives its strength from the theory of belief functions, which enables it to effectively characterize the uncertainty and imprecision of data distributions. This survey provides a comprehensive overview of evidential clustering, detailing its theoretical foundations, methodologies, and applications. Specifically, we start by briefly recalling the theory of belief functions with its transformations into other uncertainty reasoning theories. Then, we introduce the concepts of soft data, partitions, and methods with an emphasis on data and partitioning within the theory of belief functions. Subsequently, we summarize the advancements and quantitative evaluations of existing evidential clustering methods and provide a roadmap to help in selecting an appropriate method based on specific application needs. Finally, we identify the major challenges faced in the development and application of evidential clustering, pointing out promising avenues for future research, including theoretical limitations, applicable datasets, and application domains. The survey offers a structured understanding of existing evidential clustering methods, highlighting their theoretical underpinnings, practical implementations, and future research directions. It serves as a valuable resource for researchers seeking to deepen their understanding of evidential clustering.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{rai_3452,

title = {Uncorking the psychological factors behind habits and NoLo wine preferences},

author = {Krupa Rai and Antonino Galati and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Giuseppina Migliore},

url = {http://dx.doi.org/10.1108/BFJ-10-2024-0998},

year  = {2025},

date = {2025-02-01},

journal = {British Food Journal},

abstract = {Purpose - The consumption of no-and low-alcohol (NoLo) wines has emerged as a growing trend among Italian

millennials, reflecting a shift towards healthier and more mindful drinking habits. This paper delves into the

social factors driving this trend, employing the rational of habit theory to provide a comprehensive

understanding of NoLo wines consumption as a social behaviour among Italian millennials.

Design/methodology/approach - The research design comprises symmetrical and asymmetrical approach.

The study employs Cluster and fsQCA to understand the granularities of NoLo wine consumption.

Findings - The present study reveals that young adults are willingness to pay (WTP) more for NoLo wine in

exchange of improved health benefits as a reward. The contrarian observation of relatively consumers with low

average income exhibiting the high willingness to pay more for NoLo wine.

Research limitations/implications - The sample islimitedto Italyand skewed in terms ofNoLowine consumption.

The participants were aware of NoLo wine but did not consume it in the past year. The study identified the

paradoxical stance of low average family income group exhibiting more willingness-to-pay for de-alcoholised wine.

Practical implications - Firstly, young adults are increasingly health-conscious,seeking alternativesto alcohol

that promote well-being and reduce health risks associated with excessive alcohol consumption. Secondly,

mindfulness practices have gained popularity among young adults for altering self-perception, leading to a

preference for beverages that align with mindful consumption and stress reduction. NoLo wine offers a suitable

alternative, providing a similar sensory experience without the intoxicating effects of alcohol.

Social implications - Habit theory, pioneered by James (1890), posits that habits are formed through a three-stage

process: cue,routine and reward.In the context of NoLo wine consumption, cues can include social gatherings, dining

occasions orstressrelieftriggers. The routine involvesthe act of consuming NoLo wine, while the reward stemsfrom

the perceived benefits of this wine, such as reduced alcohol intake, improved health and social acceptance. The

prevalence of NoLo wine consumption among Italian young adults can be attributed to a confluence ofsocialfactors.

Originality/value - The paper attempts to evaluate the contrarian case using fsQCA and the conceptual

configuration of necessary conditions, viz. self-perception, social norms and health-consciousness.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{nizar_3432,

title = {Does the Corporate Lifecycle Affect Board Structure? International Evidence},

author = {Hamza Nizar and Ali Uyar and Faten Lakhal and Abdullah Karaman},

url = {https://authorservices.wiley.com/api/pdf/fullArticle/100170899},

year  = {2025},

date = {2025-02-01},

journal = {Corporate Governance-An International Review},

pages = {1-28},

abstract = {Research Question/Issue: This paper examines the impact of corporate lifecycle on board structure offering insights into how

firms evolve and adapt their governance practices over time and across different institutional environments.

Research Findings/Insights: Based on a sample of 23,530 firm-year observations from 51 countries over the period 2013-2021,

we find that corporate lifecycle has a positive effect on board gender diversity and board tenure. This positive effect is more pro-

nounced in firms operating in countries with stronger investor protection and in firms facing higher external market discipline.

However, the corporate lifecycle has a negative effect on the proportion of board members with financial or industry expertise.

This negative relationship turns positive when investor protection strengthens, and market pressure intensifies. The results also

show that gender quota adoption positively influences the association between corporate lifecycle and board gender diversity.

Theoretical/Academic Implications: The findings support lifecycle and legitimacy theory perspectives suggesting that or-

ganizations face different challenges and legitimacy pressures at various phases of their lifecycle. To overcome those challenges,

companies are likely to adjust their internal governance structures accordingly. The results also provide support for regulations

on gender quotas in the boardroom.

Practitioner/Policy Implications: Our results suggest that in the early stages, a company considers appointing financial or

industry skilled directors who offer essential knowledge for corporate growth and success. As the company matures, the focus

shifts toward bolstering corporate legitimacy and gaining social acceptance. This transition indicates a shift toward holistic

governance, where the company prioritizes the representation of stakeholders' interests, both in substantive and symbolic ways.},

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}

@article{singh_3406,

title = {Knowledge Management and Organizational Resilience in MSMEs: The Intervening Role of Innovation Orientation},

author = {Kuldeep Singh and Sheshadri Chatterjee and Ranjan Chaudhuri and Demetris Vrontis and Helene Yildiz},

url = {https://onlinelibrary.wiley.com/doi/10.1002/jsc.2640},

year  = {2025},

date = {2025-02-01},

journal = {Strategic Change},

abstract = {The relationship between knowledge management (KM) and organization performance has been thoroughly studied. However,

there is still a research gap to determine other factors that could influence this relationship. One significant component is innovation,

and we need to consider the size and age of the organization to determine how innovation influences organizational resilience

(OR). A few studies discussed innovation and knowledge management; however, they usually focus on large firms. This

study is based on MSMEs in India. In this study, we analyzed how innovation can link between KM and OR. We examined three

components of KM in our research: knowledge generation (KG), knowledge transfer (KT), and knowledge acquisition (KA). We

obtained responses from 336 respondents who took part in this study. We used PLS-SEM

to analyze the data. The findings indicate

that innovation plays an essential role in establishing a relationship between KM and OR. Firm age is found as a significant

moderating factor of this relationship. It implies that, to be robust, older enterprises in MSMEs should prioritize both KM and

innovation. This study can serve as a useful resource for MSMEs that wish to learn more about the role of innovation in utilizing

KM and OR.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{victor_3437,

title = {Surveys on Physical Based Methods for State of Charge, State of Health and Fault Detection on a Li-Ion Battery},

author = {Pierron Victor and Guillaume Guérard},

url = {https://link.springer.com/article/10.1007/s40866-025-00254-4},

year  = {2025},

date = {2025-02-01},

journal = {Smart Grids and Sustainable Energy},

volume = {10},

number = {23},

abstract = {he quest for efficient and reliable energy storage systems has driven significant advancements in the field of physical-based methods for State-of-Charge and State-of-Health assessment of batteries. This paper presents a comprehensive overview of these methods, leveraging fundamental principles of physics and materials science to unveil the intricate dynamics within battery systems. Covering techniques like Coulomb counting, Open Circuit Voltage analysis, Peukert's equation, Electrochemical Impedance Spectroscopy, Gas Chromatography, and cutting-edge imaging approaches such as X-ray Diffraction and Magnetic Resonance Imaging, this review elucidates the principles, instrumentation, and applications of each method. Moreover, it delves into recent breakthroughs that enhance their accuracy and applicability. These physical-based methods not only empower battery management systems but also hold the key to advancing electric vehicles, renewable energy solutions, and a sustainable energy future.},

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pubstate = {published},

tppubtype = {article}

}

@article{lebon_3330,

title = {Metrics for prosthetic cervical margin integrity assessment after dental CAD/CAM milling: a critical analysis from engineering viewpoint},

author = {Nicolas Lebon and Laurent Tapie},

url = {https://link.springer.com/journal/10266},

year  = {2025},

date = {2025-02-01},

journal = {Odontology},

pages = {1-12},

abstract = {Dental prostheses have significantly evolved due to advances in Computer Aided Design and Manufacturing (CAD/CAM) technology. CAD/CAM systems provide a variety of biomaterials like ceramics, Polymer-Infiltrated Ceramic Network (PICN), and composites, which are preferred for their mechanical and aesthetic properties. However, ceramics, despite their popularity, are brittle and prone to chipping during the machining process, impacting the prosthesis's clinical functions, aesthetics, biological integrity, and mechanical performance.

Chipping, especially at thin cervical margin, can cause visible defects, poor sealing, and bacterial growth, reducing prosthesis lifespan. Milling factors influence cervical margin integrity.

Chipping assessment involves understanding biomaterial mechanical and machinability characteristics regarding dimensional characterization of milled prosthesis shape. Thus, different type of metrics, based on biomaterial properties or dimensional measurement can be used to assess chipping phenomenon for milled dental ceramics. These metrics are both, based on experimental studies found in literature, and proposed by this paper authors to fill the existing lacks.

The brittleness index, based on the ratio between hardness and fracture toughness, predicts susceptibility to chipping after milling. Unidirectional dimensional metrics like the Chipping Factor and weighted Chipping Factor characterize the chipping ratio of the cervical margin. Advanced 2D and 3D metrics, including chip projected area, total weighted chip projected area, and Surface Aspect Ratio, offer more detailed assessments. 3D analysis involves comparing scanned files with CAD models to compute chipped volumes. The aim of this paper is to propose a critical analysis from an engineering viewpoint on metrics used to assess cervical margin integrity for milled dental prosthesis.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{schittecatte_3413,

title = {Dynamic mechanical analysis (DMA) of photopolymers: A new protocol for 3D-printed materials},

author = {Laura Schittecatte and Daniel Bonamy and Patrick Guenoun and Antoine Liénard and Thuy Nguyen and Valérie Geertsen},

url = {http://dx.doi.org/10.1557/s43579-025-00694-0},

year  = {2025},

date = {2025-02-01},

journal = {Mrs Communications},

abstract = {This work provides a complete methodology to measure the storage modulus of vat 3D?printed polymers via Dynamic Mechanical Analysis (DMA) which could enable real intercomparison of printing materials mechanical performance. We propose an 8?step methodology that includes the determination

of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

note = {of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{nguyen_3413,

title = {Dynamic mechanical analysis (DMA) of photopolymers: A new protocol for 3D-printed materials},

author = {Thuy Nguyen},

url = {http://dx.doi.org/10.1557/s43579-025-00694-0},

year  = {2025},

date = {2025-02-01},

journal = {Mrs Communications},

note = {This work provides a complete methodology to measure the storage modulus of vat 3D?printed polymers via Dynamic Mechanical Analysis (DMA) which could enable real intercomparison of printing materials mechanical performance. We propose an 8?step methodology that includes the determination

of the linear viscoelastic region (LVER) and the glass transition temperature (T?), as well as a stress relief annealing post?treatment that is proven to

significantly reduce the dispersion of 3D?printed samples. The methodology applied to various 3D?printed resin samples, achieving repeatability and reproducibility values comparable to those of a reference molded PMMA},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{singh_3397,

title = {Assessing the impact of digital transformation on green supply chain for achieving carbon neutrality and accelerating circular economy initiatives},

author = {Kuldeep Singh and Ranjan Chaudhuri and Sheshadri Chatterjee},

url = {https://www.sciencedirect.com/science/article/pii/S0360835225000890?via%3Dihub},

year  = {2025},

date = {2025-02-01},

journal = {Computers & Industrial Engineering},

pages = {110943},

abstract = {The objective of this research is to analyse how digital transformation initiatives influence the effectiveness of green supply chain practices to achieve carbon neutrality as well as to accelerate circular economy practices. The study posits a theoretical model grounded in resource-based, data empowerment, and contingency theory to conduct the study. The main aspect of the research is to analyse the mediating role played by green supply chain integration on the association between digital transformation and green supply chain performance. Furthermore, the study also tried to uncover the moderating impact of absorptive capacity and economic policy uncertainty on above mentioned relationship. The moderating effect could deaccelerate carbon neutrality and could create hindrance towards circular economy. Hence, absorptive capacity is anticipated to influence how organizations assimilate and apply digital advancements, while economic policy uncertainty is expected to shape the overall landscape within which these transformations occur. The study followed a quantitative design and PLS-SEM analysis. The results show the importance of digital transformation in in order to derive environmental sustainability within supply chains. In this study absorptive capacity found as a significant moderator. The results offer valuable insights for businesses in order to to enhance environmental sustainability. Also, these efforts with digital transformation and effective SCM practices can help a firm to achieve carbon neutrality. This distinct approach promotes more sustainable and resilient green supply chain practices that enables businesses to stay agile and accelerate circular economy practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{korger_3326,

title = {Modulational instability of geodesic-acoustic-mode packets},

author = {David Korger and Emanuele Poli and Alessandro Biancalani and Alberto Bottino and Omar Maj and Juvert Njeck Sama},

url = {https://doi.org/10.1017/S0022377824001284},

year  = {2025},

date = {2025-02-01},

journal = {Plasma Physics And Controlled Fusion},

volume = {91},

pages = {E17},

abstract = {Isolated, undamped geodesic-acoustic-mode (GAM) packets have been demonstrated to

obey a (focusing) nonlinear Schrödinger equation (NLSE) (E. Poli, Phys. Plasmas, 2021).

This equation predicts susceptibility of GAM packets to the modulational instability (MI).

The necessary conditions for this instability are analysed analytically and numerically

using the NLSE model. The predictions of the NLSE are compared with gyrokinetic

simulations performed with the global particle-in-cell code ORB5, where GAM packets

are created from initial perturbations of the axisymmetric radial electric field E r . An

instability of the GAM packets with respect to modulations is observed both in cases in

which an initial perturbation is imposed and when the instability develops spontaneously.

However, significant differences in the dynamics of the small scales are discerned between

the NLSE and gyrokinetic simulations. These discrepancies are mainly due to the radial

dependence of the strength of the nonlinear term, which we do not retain in the solution

of the NLSE, and to the damping of higher radial spectral components k r . The damping

of the high- k r components, which develop as a consequence of the nonlinearity, can be

understood in terms of Landau damping. The influence of the ion Larmor radius ? i as well

as the perturbation wavevector k pert on this effect is studied. For the parameters considered

here the aforementioned damping mechanism hinders the MI process significantly from

developing to its full extent and is strong enough to stabilize some of the (according to the

undamped NLSE model) unstable wavevectors.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benkraiem_3324,

title = {Balancing ecology and finance: The impact of carbon performance on dividend payout policy},

author = {Ramzi Benkraiem and Olfa Berrich and Nadia Lakhal and Hamza Nizar and Faten Lakhal},

url = {https://www.sciencedirect.com/science/article/pii/S0275531924005038},

year  = {2025},

date = {2025-02-01},

journal = {Research In International Business And Finance},

volume = {74},

pages = {102710},

abstract = {This paper investigates the effect of corporate carbon performance on the dividend payout policy.

Based on an international sample from 2010 to 2022, the results show that firms that emit less

carbon pay more dividends to their shareholders suggesting that managers are likely to balance

all stakeholders' needs. However, companies distribute less dividends following the Paris

Agreement in 2015. This result suggests that the increased pressure on companies to engage in

sustainability initiatives can reduce the amount of profit available for dividends. Furthermore, the

positive effect of carbon performance on dividend payout policy is accentuated for companies

with strong profitability and high corporate governance quality. Nevertheless, this positive effect

is less prevalent in companies under highly competitive pressure.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}