Publication

@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{wladdimiro_4216,

title = {A Multi-Model Predictive Framework for Adaptive Resource Management in Stream Processing Systems},

author = {Daniel Wladdimiro and Nicolás Hidalgo and Alessio Pagliari and Luciana Arantes and Pierre Sens and Erika Rosas and Victor Reyes},

url = {https://doi.org/10.1016/j.future.2026.108461},

year  = {2026},

date = {2026-09-01},

journal = {Future Generation Computer Systems-The International Journal Of Escience},

volume = {182},

pages = {108461},

abstract = {Stream Processing Systems (SPSs) are designed to process continuous streams of events, often under highly variable input rates. Although prior work has explored dynamic operator replication, many existing approaches lack generalizability and perform suboptimally across diverse scenarios. In this article, we present MMP-SPS, a predictive self-adaptive framework that extends extends our prior PA-SPS system by introducing a multi-window control loop, support for multiple prediction models, and online model selection via RMSE-based evaluation and multi-armed bandits. Targeting environments with high-volume and fluctuating data streams, such as social media analytics and network traffic monitoring, the framework dynamically selects the most suitable model based on real-time workload characteristics using a reinforcement learning (RL) strategy. To prove the validity of our system, we deployed an implementation of MMP-SPS based on Apache Storm, and we evaluated it on Google Cloud Platform against real-world datasets. Experimental results show substantial improvements in latency, throughput, and resource utilization compared to static and single-model baselines. These findings underscore the potential of multi-model predictive adaptation for scalable and robust stream processing under dynamic conditions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_4082,

title = {Well-posedness of coupled Navier-Stokes and advection-diffusion equations for propagation of reaction fronts in viscous fluids},

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

url = {https://doi.org/10.1016/j.cam.2025.117277},

year  = {2026},

date = {2026-08-01},

journal = {Journal Of Computational And Applied Mathematics},

volume = {481},

pages = {117277},

abstract = {In this paper, we investigate a steady system used for modelling propagation of reaction fronts in viscous fluids subject to a generalized Arrhenius law. The model consists of the incompressible Navier-Stokes equations for the fluid flow and a set of advection-diffusion equations for the temperature and degree of conversion. The resulting system is strongly coupled and presents many additional nonlinearities as the physical parameters such as the viscosity, diffusion and source terms are assumed to depend on the temperature and/or degree of conversion. Using a fixed-point method we prove the existence and uniqueness of the weak solution for the considered problem. To solve the associated fixed-point problem we consider an iterative scheme and its convergence is also studied in the present study. Here, the proposed scheme uncouples the computation of velocity, temperature and degree of conversion using the fixed-point iteration and we theoretically establish its convergence towards the unique solution of the considered model. Numerical results obtained for two test examples are presented to verify the theoretical analysis and to assess the performance of the proposed algorithm. The obtained computational results for both examples support the theoretical expectations for a good numerical convergence with the developed estimates.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{benmoussa_4110,

title = {On the well-posedness of the unsteady velocity-vorticity-helicity formulation of the Navier-Stokes equations},

author = {K. Benmoussa and Jean Deteix and Driss Yakoubi},

url = {https://doi.org/10.1016/j.jmaa.2026.130421},

year  = {2026},

date = {2026-07-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {559},

number = {1},

pages = {130421},

abstract = {In this paper, we study the three-dimensional velocity-vorticity helicity (VVH) formulation modeling the flow of incompressible Newtonian fluids. We present an analysis of the formulation that encompasses the existence and regularity of solutions, providing a rigorous functional framework in which the VVH formulation is shown to be equivalent to the more traditional velocity-pressure formulation.},

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{ye_4267,

title = {Sales forecast of new energy vehicles in China based on multi-source information fusion and link prediction},

author = {Shunqinag Ye and Xiaoman Zhao and Duc Khuong Nguyen and Jinpei Liu},

url = {https://doi.org/10.1016/j.jenvman.2026.129359},

year  = {2026},

date = {2026-04-01},

journal = {Journal Of Environmental Management},

volume = {404},

pages = {129359},

abstract = {This study develops an integrated forecasting framework that leverages multi-source information fusion to improve predictions of new energy vehicle (NEV) sales in China. The dataset incorporates historical sales records, key influencing factors, and unstructured Baidu Index (BI) data. Our framework first applies complementary ensemble empirical mode decomposition with adaptive noise (CEEMDAN) combined with sample entropy (SE) reconstruction. This procedure decomposes the original sequences into high-, medium-, and low-frequency components, yielding data that are more regular and informative while retaining underlying dynamics. Forecasting is then conducted through a structured combination of methods tailored to each frequency band. High-frequency components are modeled by converting the time series into directed visibility graphs (DVGs) and performing prediction as a link-prediction task on the resulting complex networks, implemented using a particle-swarm-optimized support vector regression (PSO-SVR) model. Medium- and low-frequency components are predicted using backpropagation neural networks (BPNN) and Lasso regression, respectively. Empirical evaluations show that integrating multi-source information, CEEMDAN-SE decomposition, DVG-based modeling, and frequency-specific predictors substantially improves forecasting accuracy compared with benchmark approaches. The findings show the potential evolution of China's NEV market and highlight the drivers of sales dynamics, providing evidence to inform policy formulation and sectoral strategic planning.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{murat_4262,

title = {Broker network connectivity and the cross-section of expected returns},

author = {Tiniç Murat and Ahmet Sensoy and Demir Muge and Duc Khuong Nguyen},

url = {https://doi.org/10.1007/s10479-026-07082-4},

year  = {2026},

date = {2026-03-01},

journal = {Annals Of Operations Research},

abstract = {We examine the systematic impact of broker network connectivity on future returns in an order-driven market. For all stocks traded in Borsa Istanbul between March 2005 and November 2015, we estimate network density, reciprocity, and average weighted clustering coefficients as proxies for the broker network connectivity. Our results indicate a negative and significant predictive relationship between connectivity and one-month ahead returns. Stocks in the lowest connectivity quintile earn 1.2% - 1.8% monthly return premiums. We further identify an economic mechanism as to why investors demand a premium for holding stocks with sparse broker networks through intraday panel regressions. Our results suggest that broker connectivity is associated with lower adverse selection risks, even for order-driven markets where intermediaries are assumed to be passive agents.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{nourallah_4261,

title = {Financial robo-advisors: A scoping review and future research directions},

author = {Mustafa Nourallah and Peter Öhman and Thomas Walther and Duc Khuong Nguyen},

url = {https://doi.org/10.1016/j.jbef.2026.101158},

year  = {2026},

date = {2026-03-01},

journal = {Journal of Behavioral and Experimental Finance},

volume = {49},

pages = {101158},

abstract = {Financial robo-advisors (FRAs) enable households with a limited amount of money to participate in financial markets without time or place constraints. While FRAs can help investors overcome behavioural biases, they also have disadvantages, such as reliance on a limited number of inputs and a lack of individualization. We conduct a scoping literature review of the nascent research on FRAs to synthesize previous research results. We identify two streams of literature: (1) asset management, which focuses on designing FRAs and improving the functioning of these machine advisors, and (2) behavioural finance, which investigates technology adoption and issues concerning biased advice. Among other topics, future research should address why FRAs do not appeal to less financially literate people, who would likely benefit more than others from using them.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{panibratov_4253,

title = {Host country distance and unrealized cross-border merger and acquisition deals: perspectives from China and Russia},

author = {Andrei Panibratov and Liubov Ermolaeva and Jane Menzies and Justin Paul and Rohail Hassan},

url = {https://doi.org/10.1108/MBR-10-2023-0163},

year  = {2026},

date = {2026-03-01},

journal = {Multinational Business Review},

pages = {1-25},

abstract = {Abstract

Purpose - The purpose of this study is to examine how institutional distance impacts unrealized cross-border mergers and acquisitions (CBMAs) deals of firms from China and Russia after they have been rumored. Prior

research on CBMAs has acknowledged that only a small percentage of all evaluated target firms are acquired. Using institutional distance theory, the authors contribute to the research literature by examining the institutional distance relating to the regulative, normative and cognitive institutional distance between China

and Russia and their respective host countries to identify the determinants of unrealized CBMA deals after they have been rumored.

Design/methodology/approach - The authors test hypotheses using data on CBMA rumors by examining a sample of CBMA deals by Chinese and Russian multinational enterprises from January 2003 to December 2019.

Findings - For Russia and China, rumored deals are less likely to remain unrealized in host countries with higher business and investment freedom than in the acquiring country (China or Russia). Rumored deals are

less likely to be unrealized in host countries with lower corruption levels than in the acquiring country. Greater cultural distance between the home and host countries increases the likelihood of unrealized deals.Originality/value - The authors make a unique contribution to the literature, as no prior studies have investigated the influence of institutional distance on unrealized rumored CBMA deals, particularly in the

comparison of Chinese and Russian multinational enterprises.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{guerard_3942,

title = {Research LLM: Using Large Language Models as a Research Companion},

author = {Guillaume Guérard and Sonia Djebali and Maxime Hanus and Mark-Killian Zinenberg},

url = {https://doi.org/10.31803/tg-20250827131608},

year  = {2026},

date = {2026-03-01},

journal = {Tehnicki Glosnik - Technical Journal},

volume = {20},

number = {1},

pages = {118-125},

abstract = {Large Language Models (LLM) are increasingly used as research companions, yet guidance for effective and responsible integration into scholarly workflows remains under-specified. This paper presents a three-stage, human-in-the-loop framework supporting (i) proposal development, (ii) research design, and (iii) manuscript preparation. Each stage operationalizes a toolbox of prompting and verification techniques?Context-Grounded Prompting, Graph-of-Thought, Self-Consistency, Contrastive Chain-of-Thought, and Chain-of-Verification?paired with explicit human checkpoints. The framework is instantiated in a case study on mitigating intersectional bias in hiring models, with detailed datasets, objectives, and evaluation metrics, and an exploratory pilot in which Master's students apply the pipeline to thesis proposals. Results indicate that structured prompting improves traceability and broadens the set of considered alternatives, while verification steps curb overconfident errors. Prompts, artifacts, and rubrics are made available to support replication. The paper concludes with guidance on ethical deployment and limitations, emphasizing the primacy of human judgment in validating claims and shaping scholarly contributions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{gaaya_4255,

title = {What about the firm's exposure to climate risk? Balancing carbon performance and tax avoidance practices},

author = {Safa Gaaya and Mouna Hamza and Faten Lakhal},

url = {DOI: 10.1504/IJAAPE.2025.10072987},

year  = {2026},

date = {2026-03-01},

journal = {International Journal of Accounting, Auditing and Performance Evaluation},

pages = {1-26},

abstract = {This paper examines the association between a firm's carbon

performance and tax avoidance. It also sheds new light on the role of climate

risk exposure on this relationship. Based on a sample of USA firms from 2005

to 2021, our finding reveals that firms with stronger carbon performance are

less likely to engage in tax avoidance, suggesting that firms that prioritise

reducing their carbon footprint are also committed to maintaining compliance

with tax regulations, supporting the stakeholder perspective. The results also

document that the negative association between carbon performance and tax

avoidance holds only during lower climate risk exposure, suggesting that

under heightened climate exposure companies focus on climate-related

concerns, making tax avoidance a lower priority. Additional evidence reveals

that high-polluting firms are more incentivised to enhance carbon performance

to respond to institutional pressure, leading to lower tax avoidance levels.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{qing_4254,

title = {Can Digital Technology Adoption Drive a ?Win-Win? in Corporate Financial Sustainability and Energy Performance? The Role of Chief Digital Officers},

author = {Qing Qing and Pin Shen and Tomas Bale?entis and Fawaz Baddar Al Hussan and Zhiyang Shen},

url = {https://doi.org/10.1002/bse.70671},

year  = {2026},

date = {2026-03-01},

journal = {Business Strategy And The Environment},

pages = {1-22},

abstract = {This study investigates whether digital technology adoption can drive both sustainable financial performance and enhanced corporate energy efficiency, which has received limited attention in previous research. Grounded in dynamic capability theory and upper echelons theory, and utilizing a two-way fixed-effects regression model, this study analyzes panel data from publicly listed Chinese firms from 2010 to 2022. We assess the ?win-win? potential of digital technology adoption on financial and energy outcomes, with a focus on the moderating role of chief digital officers. The results demonstrate that digital technology adoption generates concurrent gains in financial sustainability and energy efficiency, and that the presence of a chief digital officer substantially strengthens these effects. Robustness and endogeneity assessments support these findings. We further identify financing

constraints and green technological innovation as mediating channels through which digital technology adoption promotes dual improvements in financial and energy outcomes. Heterogeneity tests indicate stronger effects among larger firms, non-heavy polluting enterprises, and firms located in central regions of China. These findings highlight the strategic value of digital

technology in advancing financial sustainability and corporate energy efficiency, promoting broader corporate commitment to digital transformation.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{zighan_4182,

title = {The Double-Edged Sword of Entrepreneurial Orientation and Unforeseen Outcomes in the Gulf Cooperation Council Countries},

author = {Saad ZIGHAN and Salomée Ruel and Léo-Paul Dana},

url = {https://doi.org/10.1108/JEC-12-2024-0255},

year  = {2026},

date = {2026-03-01},

journal = {Journal of Enterprising Communities: people and places of global economy},

abstract = {Purpose - The purpose of this study is to explore the unintended consequences of entrepreneurial orientation

(EO), emphasizing its context-dependent nature, particularly within the unique cultural, regional and

institutional environment of the Gulf Cooperation Council (GCC). This study applies the Paradox Theory to

explore the dualities inherent in EO, aiming to uncover its adverse consequences and identify strategies to

mitigate these effects while enhancing positive outcomes.

Design/methodology/approach - This study uses a qualitative approach, conducting in-depth interviews

with 38 managers from diverse industries across GCC countries.

Findings - This study finds that EO fosters innovation, adaptability and an entrepreneurial mindset, enabling

organizations to maintain a competitive edge. However, EO's core dimensions present paradoxes that create

organizational tensions: Innovativeness vs Stability, Risk-taking vs Safety, Proactiveness vs Decision

Paralysis, Competitive Aggressiveness vs Internal Harmony and Autonomy vs Alignment. These dualities

reflect the complex interplay between traditional values and modern entrepreneurial aspirations in the GCC,

demonstrating context-specific EO practices and paradoxes.

Practical implications - Organizations must implement a structured, context-aware approach to

mitigate the unintended consequences of EO in the GCC. Effective solutions require strategic

communication, prioritization mechanisms, structured decision-making, balanced risk management and

inclusive leadership pipelines. These efforts must be tailored to the GCC's unique socio-economic and

cultural dynamics.

Social implications - EO in the GCC has significant social implications because of its intersection with

traditional values, centralized governance and the reliance on expatriates. It can challenge hierarchical norms,

strain social cohesion and risk excluding marginalized groups, especially women and expatriates. EO may

reinforce inequalities and lead to burnout without inclusive, culturally sensitive approaches. Balancing

innovation with respect for local customs and employee well-being is essential to ensure socially sustainable

entrepreneurial development in the region.

Originality/value - By extending the Paradox Theory to the entrepreneurial domain, this research provides a

nuanced understanding of EO's paradoxical nature. This study highlights how cultural collectivism,

hierarchical structures and institutional constraints influence the implementation and impact of EO. Focusing

on the GCC context, this study offers valuable insights for organizations operating in similar economic and

cultural environments.},

keywords = {},

pubstate = {online},

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{rejeb_4251,

title = {CSR Investments Strategies of Financially Distressed Firms in Competitive Markets},

author = {Najet Rejeb and Houssam Bouzgarrou and Faten Lakhal},

url = {https://doi.org/10.1057/s41260-026-00442-6},

year  = {2026},

date = {2026-02-01},

journal = {Journal of Asset Management},

volume = {27},

number = {9},

abstract = {This study investigates the behavior of distressed firms toward CSR-investments under competitive market pressure. Using a sample of 105 non-financial French firms listed on the SBF-250 index from 2005 to 2020, the findings reveal that distressed firms are incentivized to invest in CSR, particularly in environmental and social dimensions. CSR initiatives serve as a form of insurance, helping to buffer the negative effects of financial distress. Moreover, the positive effect of financial distress on CSR is more pronounced in competitive markets. This research is among the first to analyze CSR from the perspective of financially distressed firms and uniquely includes market competition as a moderating factor. The findings carry significant implications for decision-makers, such as investors evaluating opportunities in competitive markets, and underscore the value of social and environmental initiatives in enhancing firm performance, especially during financial distress.},

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{naouar_4250,

title = {Empowering Women on Boards: Gender Quotas and Waste Generation},

author = {Hind Naouar and Faten Lakhal},

url = {https://doi.org/10.1111/gwao.70112},

year  = {2026},

date = {2026-02-01},

journal = {Gender Work And Organization},

pages = {1-17},

abstract = {With the growing emphasis on sustainability in corporate governance, implementing quotas to increase gender diversity on boards has attracted attention because of its potential to promote more responsible environmental practices, including waste management. The purpose of this paper is to explore the role of gender quotas in the boardroom on waste generation for a sample of European listed companies from 2011 to 2021. Based on critical mass and institutional theory perspectives, the results show that gender quotas on boards have a significant negative effect on waste generation. This negative effect increases in countries with binding quotas, suggesting that firms operating in countries with binding gender quotas capitalize on the potential for improved environmental outcomes. Further results show that the negative relationship between gender quotas and waste generation is more prevalent following the Paris Agreement on climate change and the adoption of the Sustainable Development Goals (SDGs) in 2015, in firms with corporate social responsibility (CSR) committees and in firms operating in manufacturing industries.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{jaffal-mourtada_3868,

title = {On the well-posedness of the Second-grade compressible fluid model},

author = {Basma Jaffal-Mourtada and Raafat Talhouk},

url = {http://dx.doi.org/10.1016/j.jmaa.2025.130030},

year  = {2026},

date = {2026-02-01},

journal = {Journal Of Mathematical Analysis And Applications},

volume = {554},

number = {2},

pages = {130030},

abstract = {In this paper, we investigate the well-posedness of Grade-two compressible fluid model in the non-steady case. To our knowledge, the existing literature provides only one result that addresses the existence of solutions for the compressible case, which is limited to steady-state flows.

We establish the local existence and uniqueness of solutions in the Sobolev space $H^m$, for $m  geq 3$ . We notice that in the incompressible case, the best known existence result requires $m  geq 5$, unless specific thermodynamic conditions are satisfied (their effect is to reduce the high nonlinearity of the model), in which case $m geq 3$ suffices.

Finally, we analyze the linearized system around the constant state and establish the global well-posedness of the solution, as well as its exponential decay in time toward the steady state. In addition, we prove the persistence of regularity for the solution.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{essadeq_4213,

title = {Stability and convergence of modal approximations in coupled thermoelastic systems: Theory and simulation},

author = {Imane Essadeq and Anoir Essadat Fettouh and SAAD BENJELLOUN and Salem Nafiri},

url = {https://www.aimsciences.org/article/doi/10.3934/dcdss.2026070},

year  = {2026},

date = {2026-02-01},

journal = {Discrete And Continuous Dynamical Systems-Series S},

abstract = {In this work, we review and analyze both the theoretical and numerical aspects of strongly and weakly coupled thermoelastic systems. By employing spectral analysis techniques and establishing uniform resolvent estimates, we derive uniform polynomial decay rates for the associated semigroups under a suitable class of boundary conditions. Particular attention is paid to the role of modal approximations in energy analysis. The theoretical results are complemented by numerical experiments that illustrate how the regularity of initial data, smooth versus nonsmooth, affects the observed decay rates, providing deeper insight into the interplay between spectral structure and energy dissipation.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{son_4104,

title = {On Sustainable Operations and Supply Chain Management: has the debate on Diversity, Equity, and Inclusion been settled},

author = {Byung-Gak SON and Lilian DE MENEZES and Seongtae KIM and Adriana LEIRAS and Salomée Ruel},

url = {https://doi.org/10.1108/IJOPM-09-2025-0883},

year  = {2026},

date = {2026-02-01},

journal = {International Journal Of Operations & Production Management},

volume = {46},

number = {3},

pages = {341-266},

abstract = {Purpose: This article investigates the business case for Diversity, Equity, and Inclusion (DEI) within the context of Operations and Supply Chain Management (OSCM), a topic that has been the focus of intense debate in academic and practitioner circles, and has become strongly associated with conflicting ideological perspectives. It combines an extensive literature review on DEI and potential outcomes, including the other contributions in the special issue ?On Sustainable Operations and Supply Chain Management: What about Diversity, Equity, and Inclusion??, with empirical analyses, both quantitative and qualitative, to examine the potential outcomes of DEI initiatives.



Design/methodology/approach: In the empirical analysis, a mixed-methods of explanatory sequential design is used. First, the association between OSCM employees' perceptions of workplace DEI and firm-level performance is examined using matched data from Glassdoor employee-reviews of DEI in Fortune 500 companies and Refinitiv Workspace. Then, a qualitative follow-up analysis is undertaken based on 10 interviews with experienced DEI-leaders and OSCM practitioners.



Findings: DEI research in OSCM is still in its early stages and extant knowledge is predominantly based on case studies. Evidence on the relationship between firm-level DEI and performance is mixed and may reflect the context as well as the available information. While there are arguments for a positive association, our quantitative analysis challenges this expectation. Our interviews highlight potential positive outcomes such as enhanced employee engagement and job satisfaction that could translate into performance, but also suggest negative effects when DEI initiatives alienate core groups, are performative rather than substantive, or incur significant short-term costs. Overall, further academic research is needed to address the rhetorics and realities of DEI, understand unfulfilled expectations, identify moderating and mediating factors, and thus potentially resolve inconsistencies in findings.



Originality/value: This introductory article underscores that the DEI debate is far from settled and offers a future research agenda based on an assessment of the current state of DEI scholarship within OSCM, empirical analyses and a review of the seven papers selected for this special issue.},

keywords = {},

pubstate = {published},

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{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{boukili_4211,

title = {Analysis of Coupled Steady Navier-Stokes and Turbulent Kinetic Energy Equations with Velocity-Dependent Boundary Conditions},

author = {Hamza Boukili and Aziz Takhirov and Driss Yakoubi},

url = {https://doi.org/10.1007/s00030-026-01208-0},

year  = {2026},

date = {2026-02-01},

journal = {Nodea-Nonlinear Differential Equations And Applications},

volume = {33},

number = {59},

abstract = {In this paper, we establish the existence of a weak solution for the steady RANS model, where the Navier-Stokes equations are coupled with the equation governing the turbulent kinetic energy (TKE). This coupling of the two equations occurs both through the eddy viscosity and eddy diffusion coefficients and also through a Dirichlet boundary

condition on a portion of the boundary leading to energy production.

Additionally, the right-hand side in the TKE equation contains a term ?(k)|?u|2 that is only integrable. The proof of the existence of a weak solution is obtained by regularization of the original problem, relaxing

the terms that are not sufficiently regular. Additionally, due to the nonhomogeneous Dirichlet boundary condition on a portion of the boundary for the energy variable k, we introduce a change of variable for k using the lifting of its value on the boundary of the domain. This implies a new variational formulation with regularization of terms arising from this lifting.},

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{ashfaq_4205,

title = {Technological Innovation and Financial Liberalization in Shrinking Ecological Footprints: Mediating Role of Green Growth},

author = {Komal Ashfaq and Muhammad Ishtiaq Ishaq and Usman Ullah and Ali RAZA and Wasim Abbas Shaheen},

url = {https://doi.org/10.1002/bse.70617},

year  = {2026},

date = {2026-02-01},

journal = {Business Strategy And The Environment},

abstract = {Environmental sustainability has emerged as a pressing concern, capturing researchers' interest and driving an expansion of empirical studies in the field. Accordingly, this study explores the relationship between financial liberalization, renewable energy consumption, technological innovation, and ecological footprints, with green growth as a mediating factor. The data for this study are from the WDI, and the Chinn-Ito index from 2001 to 2021, covering 160 countries. The study used the Generalized Method of Moments estimation technique to address endogeneity and ensure robust analysis. The findings reveal that financial liberalization positively affects the ecological footprint. Renewable energy use reduces the ecological footprint, underscoring its role in mitigating environmental degradation. Technological innovation also has a negative and significant relationship with the ecological footprint, showing its potential to lower ecological impact. Surprisingly, green growth has a positive and significant impact on ecological footprints, suggesting that while it drives economic expansion, it may also lead to increased environmental pressures. This counterintuitive result underscores the complexity of achieving sustainable development, underscoring the need for targeted green growth strategies that align economic activities with ecological sustainability. The study provides valuable insights for policymakers seeking to reconcile economic and environmental objectives in pursuit of long-term sustainability, emphasizing green growth as a way forward.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{attali_4189,

title = {A kinetic theory approach to consensus formation in financial markets},

author = {Jean-Gabriel ATTALI and Francesco Salvarani},

url = {10.3934/QFE.2026006},

year  = {2026},

date = {2026-02-01},

journal = {Quantitative finance and economics},

volume = {10},

number = {1},

pages = {108-129},

abstract = {It is sometimes acknowledged that (sell-side) equity analysts' recommendations influence investors and therefore market prices. In particular, the S&P 500 is expected to decline (or rise) when analysts revise their targets downward (upward, respectively). Our findings indicate not only that the analysts' consensus exert no influence on market prices, but also that, conversely, analysts appear to set their target prices based on markets prices. Employing a kinetic theory framework, we model the dynamics of the analysts' opinions, by taking both the mutual influences shaping price consensus and the dynamics of the actual S&P 500 index level into account. The model is calibrated on a training subset of data and tested on an independent set to assess its predictive power. Our tests show that just three free parameters are enough to accurately predict the one-year average price forecasts of analysts.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{charles_4188,

title = {Diffusion asymptotics of a kinetic model for gas-particle mixtures with energy exchanges},

author = {Frédérique Charles and Anna Maria Massimini and Francesco Salvarani},

url = {https://dx.doi.org/10.4310/CMS.260210003838},

year  = {2026},

date = {2026-02-01},

journal = {Communications In Mathematical Sciences},

volume = {24},

number = {3},

pages = {797-844},

abstract = {In this paper, we propose a non-isothermal kinetic model describing interactions between dust particles and gas molecules. We assume that gas-dust collisions follow a diffuse reflection mechanism at the surface of the dust particles. The surface temperature of the particles is treated as a function of time and space, satisfying a transport-like equation. The key novelty of this model is its ability to derive both the conservation of total energy in the system and an explicit expression

for entropy. After adimensionalising the equations, we perform a formal diffusive asymptotic analysis leading to a coupled system of partial differential equations. In particular, we examine the limiting

case in which the mass ratio between gas and dust, as well as the Mach and Knudsen numbers, tend to zero.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}