Publication

@article{yasin_4573,

title = {If you don't care about me, I become lazy: A multilevel model of despotic leadership and employee procrastination},

author = {Raheel Yasin and Muhammad Atif and Joather Alwali},

url = {https://doi.org/10.1016/j.ijhm.2026.104836},

year  = {2027},

date = {2027-01-01},

journal = {International Journal Of Hospitality Management},

volume = {140},

pages = {104836},

abstract = {Grounded in the social distance theory of power, this study examines the direct and indirect effects of hotel-level despotic leadership on individual-level factors, including emotional contagion, psychological distance, and employee procrastination. A three wave research design was adopted to collect data from the Malaysian hospitality industry and multilevel modeling was used in Mplus to analyze the data. The results confirmed existence of positive correlation between hotel-level despotic leadership and individual-level emotional contagion, psychological distance, and employee procrastination. Emotional contagion was also found to be positively associated with psychological distance, which, in turn, exhibited a positive relationship with employee procrastination. Furthermore, emotional contagion and psychological distance sequentially mediate the nexus between hotel-level despotic leadership and employee procrastination. Overall, this study extends the social distance theory of power by elucidating the multilevel mechanisms through which despotic leadership influences employee procrastination in the hospitality context.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xu_4578,

title = {Ecosystem restoration and rural incomes: Evidence from China's Shan-Shui Initiative},

author = {Hanxiao Xu and Tongze Liu and Zhiyang Shen and Fawaz Baddar Al Hussan and Vardanyan Michael},

url = {https://doi.org/10.1016/j.ecolecon.2026.109216},

year  = {2027},

date = {2027-01-01},

journal = {Ecological Economics},

volume = {251},

pages = {109216},

abstract = {Besides improving environmental conditions, large scale ecological restoration initiatives carry implications for households' livelihoods. Therefore, evaluating whether restoration policies can align ecological objectives with income growth is important for promoting environmentally sustainable development. We study whether China's Integrated Protection and Restoration Project of Mountains, Rivers, Forests, Farmlands, Lakes, Grasslands, and Deserts, commonly known as the Shan-Shui Initiative, has helped promote rural income growth as well as the channels through which income effects operate. Using a panel of 1,700 counties from 21 provinces, we estimate policy effects for the period 2016-2022 with a synthetic control approach that uses machine learning to construct counterfactual income paths for treated counties. Our results show that the initiative has increased rural incomes with gains growing over time. Estimated effects differ by pilot batch, with incomes rising by about 5% and 1.9% for the first two project cohorts implemented in 2016 and 2017, respectively, but decreasing by 0.9% for the final batch in 2018. After adjusting for potential anticipation effects, the estimated effect for the 2017 cohort increases to 3.7%. We demonstrate that ecological restoration promotes rural incomes via improvements in ecosystem services, infrastructure, and tourism development. Income effects are generally larger in more economically developed and less ecologically fragile areas, while differences across dominant project types are comparatively modest. The results provide insights into potential policies for aligning environmental protection objectives with rural development.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{takhirov_4564,

title = {A curl-curl formulation with grad-div stabilized splitting for steady incompressible flows with pressure boundary conditions},

author = {Aziz Takhirov and Driss Yakoubi},

url = {https://pdf.sciencedirectassets.com/271868/1-s2.0-S0045782526X20114/1-s2.0-S0045782526005700/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEJH%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQC%2B%2BgVGXmyeQkB8%2FmqIgcz88WDIOo5TKCyCnTI5mIcoowIhAPgw9%2FxiIjyAddBme3wbmBDTmh6VfxAajjBgRD2zB3kuKrIFCFoQBRoMMDU5MDAzNTQ2ODY1IgxBuH1oHLpLHqhLfpcqjwVo3CsusJ2sZO2725aRUXY5qBVh4GHbS%2FriaWPTtXC9QD2pf2N1qf769xM77n6zm%2BdZT4lK17X%2FuhbrotidIlLPsPgVsPLrzNsW%2Fz2lt8s%2BFDINe3CRlpXn8ErNHnCrBTkj13FrCKOyTUb%2B7%2BGNnxUrkGob36IfU3A9TVWvm7Z59E%2BpCodUkzbg9LTh4rPsaUMCcoTX9HGcwEMI4Pvjw7GgN3AqIjTp4GtToewJlM4JdMUcphP0fb1MfQHJ7ZGgqwARp5s4Z5GTJH63eNHcojF8GCru3hwZX3wxc0oMk%2FQpthvmiFS87ZjaxBoV9V57wpemO50nHb2Ab5sA4OmeGpst5k5KgZsifRMDsPu330CP%2Fd1iC9TOoV0z6IOFlysbijVLVN%2BB5QoDvArLLuyphwb%2F%2FU05FliiC%2F2ODsQoLuI4WXdKMmKv3ZiPJeELk0GjOLmKprzhtlqR%2FigoLTPLwVCiYJjlvBaoj8MrArngaAb6uZUrMCCt4cR21lbksXWiYVWRv0yvod%2FJnpJMwK6UYQHQscdgxyEtjf4ja5%2F00f2TS8O60DDkw8CZZ%2BVpvDQzq0FQw42efugo0PGFy45YQHZtC%2BpykL1AnbqQC9IloF%2FT%2FW0iz4VX4TZqyCdDshipyQnBBOD5G%2B%2FUgORyXUABzRw7PbuTYVKI24iOTkX8iWqwHg2CJNE1UtGDyT8BX96nymNe5AjLGgd3RWGUY2S3naPKJEOpP5jaJFbifnGbkzit5o5tLYKj78ZYPofC%2FI2voKK%2Bp7WqEhl%2FS%2F2eiSo4tY3kcHx6F%2BJjsw%2B5fw3Ks9QikKH9XhhZ7eyWF2T1ISMxtwNICDDE7gQyXYflBAi4PioW4L3NxTVzeEvnsZTm%2BDVeMMiukNQGOrABO1qMz8LwD99IwVdEBth6Tu6hko%2BZWS%2B5cNUNFA70NvqJuTE1rIiRv2W5%2FNLS8Of7wo0%2BOIA3aqD9ZdBmoIRqsN4SGja6Vnd7SyyIj36DT5ttI7QYclQkOJS2ssa%2F8hQWTfd2ZZ2QipXgZqM4%2B4KLkvQvOCaUBBE9Y7QyMIDE5hFOdz%2FOot5x4rcVJRmdI7uedd9qT7EJDiZTLapjlf4%2BuNSWjF9pNnAIUahQwiaOxF4%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20260818T095056Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTY6SGKWG6X%2F20260818%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=8305fa1a140e4454164838ebdc2ee2176b2013ec16a74c1a51dd0bed72bde7ad&hash=5e76e88cfe50393fe84758f7faa8b8d53b41129005f3eeb811d9d3648898e931&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S0045782526005700&tid=spdf-93e110d5-4970-4a71-b9a2-799a9fbf2851&sid=6612ae137ed5674ab66a4951c919ca60be6fgxrqb&type=client&tsoh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&rh=d3d3LnNjaWVuY2VkaXJlY3QuY29t&ua=1d07065201505150515256&rr=a2d00460198b88ef&cc=gb},

year  = {2026},

date = {2026-12-01},

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

volume = {462},

pages = {119297},

abstract = {We present an efficient iterative strategy for the steady incompressible Stokes and Navier-Stokes

equations with pressure boundary conditions on part of the boundary. The method relies on

a velocity-pressure splitting scheme combined with a curl-curl formulation and a grad-div

stabilization term, ensuring strong enforcement of incompressibility at the discrete level. Each

iteration decouples the velocity and pressure updates: the velocity is computed from a linearized

subproblem with frozen nonlinear terms, followed by an explicit pressure correction to reduce

the divergence residual. We prove strong convergence of the iterative sequence under classical

smallness assumptions on the data and establish well-posedness of the velocity subproblem. The

method is validated through numerical experiments, including manufactured solutions, flows in

branched channels, and 2D/3D cylinder benchmarks, demonstrating both optimal convergence

and accurate prediction of integral quantities such as drag and pressure drop.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{saidi_4579,

title = {TEAF-Net: Temporal entropy-guided adaptive fusion for automated violence detection in surveillance videos},

author = {Houda Saidi and Mohammed Azzakhnini and Hicham Amakdouf and Hassan Qjidaa and Ahmed Azough},

url = {https://www.sciencedirect.com/science/article/pii/S2590123026025685},

year  = {2026},

date = {2026-12-01},

journal = {Results in engineering},

volume = {32},

pages = {111543},

abstract = {With the fast growth of video surveillance in public places, manual analysis of video footage to detect abnormal behaviours has become infeasible. Automating the process seems like the obvious solution, yet it remains incredibly challenging. For instance, the way actual violence appears on camera depends on the view angle, crowd density, and the way the events unfold over time. Due to this, models that perform perfectly on curated datasets often fail in real-world scenarios. To address this problem, we proposed TEAF-Net (Temporal Entropy-Guided Adaptive Fusion), a violence detection architecture that combines multiple pretrained CNN backbones with an adaptive fusion mechanism regularized by bounded entropy. Our designed method learns input and time-dependent fusion weights while preventing degenerate behaviors such as weight collapse or near-uniform weighting, thereby promoting complementary specialization across temporal contexts. Furthermore, we use a bidirectional LSTM (BiLSTM) to track the temporal progression of the event, with a temporal attention module to settle on the most informative video segments before making a final decision. TEAF-Net was evaluated on three public benchmark datasets, namely Hockey Fights, RWF-2000, and RLVS, achieving accuracies of 99.50%, 98.92%, and 98.08%, respectively, with consistently high precision, recall, F1-score, and AUC values. Ablation studies confirm that performance gains arise from the combined effect of multi-backbone diversity, hierarchical adaptive fusion, and bounded-entropy regularization. Although the use of four parallel backbones increases computational cost (30.4 GFLOPs per clip), the proposed framework provides a robust and effective solution for automated violence detection in real-world surveillance scenarios.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ghouini_4601,

title = {Experimental and numerical analysis of liquid sloshing within tank subjected to pitching motion},

author = {Fatiha Ghouini and Alina Santa Cruz and Kim Q.N. Kha and Mustapha Benaouicha and Sylvain Guillou and Abdelghani Seghir},

url = {http://dx.doi.org/10.1016/j.apor.2026.105232},

year  = {2026},

date = {2026-11-01},

journal = {Applied Ocean Research},

volume = {176},

pages = {105232},

abstract = {Liquid sloshing in partially filled tanks can generate large free surface oscillations, especially under pitch

excitation. While extensive research has addressed sloshing in rigid containers, few studies focus on sloshing

within flexible tanks or pure pitch-induced sloshing. This work presents a combined experimental and

numerical investigation of sloshing dynamics in rigid and flexible tanks subjected to controlled pitch excitation.

Many excitation configurations are considered. The numerical and experimental results are in close agreement

in terms of oscillation frequencies, phase evolution, and response amplitudes. Only very small deviations

are observed near the response minima, which may be attributed to limitations of the optical measurement

technique. A parametric study investigates the effects of filling level and wave period on liquid sloshing.

Finally, the study on flexible tank indicates that flexibility reduces sloshing amplitude.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@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{li_4586,

title = {A product life cycle curve prediction method via dynamic fusion and inference rectification},

author = {Xin Li and Quan Cheng and Xiaoli SU and Evren Sahin and Zhe Yuan},

url = {https://doi.org/10.1016/j.engappai.2026.115595},

year  = {2026},

date = {2026-10-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {181},

number = {Part 6},

pages = {115595},

abstract = {Accurate product life cycle (PLC) curve forecasts of new products present a challenge under data sparsity and volatile demand. Due to the limited availability and underutilization of historical data on new products, conventional forecasting methods (e.g., the Bass model and exponential smoothing models) with pre-specified functional relationships are limited in capturing emergent market dynamics and idiosyncratic product characteristics. To address this issue, the PDFSR-RSI framework integrates Prior-Driven Fusion with Structure Refinement (PDFSR) and Rectification with Statistical Inference (RSI) into a two-stage forecasting process PDFSR can effectively aggregate multiple heterogeneous prototypes from analogous products into a prior PLC curve tailored to the specific characteristics of each new product. Within PDFSR, a Sparsity Optimized Post-Processing (SOPP) mechanism mitigates confidence distortion, while a Random Forest (RF) model enhances nonlinear representation capacity in information-poor environments. Subsequently, RSI dynamically rectifies structural biases through a non-parametric statistical mechanism that leverages adjustment signals extracted from early-stage sales data. Empirical validation using data from Babyonlinedress, a fast-fashion e-retailer, demonstrates that the proposed PDFSR-RSI framework corrects structural biases under data scarcity, thereby improving PLC forecasting accuracy and supporting more robust decision-making in volatile environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{abou_ali_4553,

title = {Edge artificial intelligence: Past advances, current paradigms, and emerging horizons},

author = {Mohamad Abou Ali and Fadi Dornaika and Jinan Charafeddine},

url = {https://doi.org/10.1016/j.engappai.2026.115635},

year  = {2026},

date = {2026-10-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {181},

number = {6},

pages = {115635},

abstract = {Edge Artificial Intelligence (Edge AI) represents a transformative computing paradigm that processes data locally on devices or nearby servers, enabling real-time analytics, enhanced privacy preservation, and optimized bandwidth utilization. This review examines the evolution of Edge AI from foundational distributed computing technologies to modern implementations including Tiny Machine Learning (TinyML) and Federated Learning. We present a unified multi-dimensional taxonomy integrating deployment architectures, processing capabilities, application domains, and hardware platforms. Our synthesis of 141 studies demonstrates that model quantization reduces energy consumption by 3-5×while edge deployment decreases application latency by over 90% in smart city scenarios and reduces data breach risks by 70% in healthcare applications. The analysis identifies significant challenges in resource constraints, security vulnerabilities, and model management complexities. Emerging research directions encompass next-generation hardware accelerators, edge-cloud collaborative architectures, and trustworthy AI frameworks. This review serves as a definitive resource for researchers and practitioners, highlighting Edge AI's potential to reshape intelligent systems across healthcare monitoring, industrial automation, autonomous vehicles, and smart city infrastructure through enhanced responsiveness, privacy preservation, and operational efficiency.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{boersma_4206,

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

author = {Martijn Boersma and Emmanuel Josserand},

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

year  = {2026},

date = {2026-10-01},

journal = {Industrial Relations},

volume = {65},

number = {4},

pages = {397-496},

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

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{tien_4597,

title = {The role of locals in supporting cruise tourism: impacts on health and safety, overall quality of life, and behavioral intentions},

author = {Ma Tien and Tan Vo-Thanh},

url = {http://dx.doi.org/10.1080/11745398.2026.2728725},

year  = {2026},

date = {2026-09-01},

journal = {Annals of Leisure Research},

pages = {1-15},

abstract = {Residents are vital to the sustainable development of cruise tourism. This study integrates Social Exchange Theory and Bottom-Up Spillover Theory to investigate how residents of Ho Chi Minh City, Vietnam - a rapidly emerging cruise tourism destination - perceive the impacts of cruise tourism on their health and safety, overall quality of life, and behavioral intentions to support its growth. Drawing on data from an online survey of 450 residents, structural equation modeling was employed to examine the relationships among perceived tourism impacts (economic, socio-cultural, and environmental), perceptions of health and safety, life satisfaction, and support behaviors. Findings reveal that among the three impact domains, only environmental impacts significantly influence residents' perceptions of health and safety. In turn, these perceptions strongly predict overall life satisfaction, leading to intentions to support cruise tourism. This study offers a novel theoretical framework and practical implications for tourism policymakers to prioritize environmental sustainability and community well-being.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{luong_4596,

title = {Toward authenticity-centered disclosure in tourism research},

author = {Van-Ha Luong and Tan Vo-Thanh},

url = {http://dx.doi.org/10.1016/j.annals.2026.104263},

year  = {2026},

date = {2026-09-01},

journal = {Annals Of Tourism Research},

volume = {120},

pages = {104263},

abstract = {Highlights

? GAI can generate survey data that meet standard methodological expectations.

? Reliability, validity, and model fit don't ensure authentic data.

? A clear distinction between data authenticity and data integrity is provided.

? The Data Integrity Report supports disclosure of data provenance and verification.

? Tourism research must shift from surface-level stats adequacy to authenticity focus.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{berte_4594,

title = {The high-tech trap: corruption risks in a new wave of privatization},

author = {Isacco Bertè and Louise Demoury and Farid Gasmi and Dorgyles Kouakou and Niklas Patzig and Laura Recuero Virto and Peter Saba},

url = {https://doi.org/10.1007/s11149-026-09524-0},

year  = {2026},

date = {2026-09-01},

journal = {Journal Of Regulatory Economics},

volume = {69},

number = {24},

pages = {1},

abstract = {Using data from 103 countries between 1990 and 2017, this article provides econometric evidence of a robust nonlinear relationship between corruption and privatization in the telecommunications sector, an inverted U-shape where moderate corruption initially facilitates privatization, but beyond a threshold (50% of the Bayesian Corruption Index), higher corruption reverses this trend. Our results provide empirical confirmation of the nonlinear hypothesis advanced by Laffont & Meleu (1999), but with a new urgency: in today's digital age, this dynamic constitutes a high-tech trap, where corruption risks not only derail reform but embed it into the digital infrastructure that underpins the foundations of modern states. In addition, ownership structures have grown increasingly hybrid, and corruption now interacts with governance challenges that extend beyond efficiency and market design to long-term issues of economic value distribution, technological control, and strategic risk, amplifying the potential for regulatory capture and rent-seeking behavior.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{azeem_4591,

title = {When and How Does Supervisor Knowledge-Hiding Hinder Employees' Ability to Meet Work-Related Deadlines?},

author = {Muhammad Umer Azeem and Inam Ul Haq and Iqbal Mahmood and Noor Ul Ain and Florian Offergelt},

url = {https://doi.org/10.1002/cjas.70084},

year  = {2026},

date = {2026-09-01},

journal = {Canadian Journal Of Administrative Sciences-Revue Canadienne Des Sciences De L Administration},

volume = {43},

number = {3},

pages = {e70084},

abstract = {This study contributes to the current knowledge management discourse by examining the micro-level mechanisms and conditions underlying the relationship between supervisor knowledge-hiding and subordinates' ability to meet work-related deadlines. In particular, it investigates this hitherto unexplored relationship, delving into the role of psychological detachment (as an underlying mechanism) and religiousness (as a moderator) in this process. The findings across two studies?a three-round time-lagged field study and a vignette-based experiment?support our predictions. The results of both studies indicate that a key reason why supervisors' knowledge-hiding behavior (SKHB) impairs their subordinates' ability to meet deadlines is the psychological detachment that they experience from their work environment. Moreover, religiousness serves as a catalyst for invigorating this effect; SKHB may be particularly upsetting for highly religious employees, who may view it as antithetical to their religious beliefs and consider it as an unethical act. These findings provide pertinent insights for organizations and policymakers to counter knowledge hiding across various hierarchical levels},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{mazur_4464,

title = {Tokenized stocks and tracking errors: Evidence on pricing efficiency},

author = {Mieszko Mazur and Efstathios Polyzos},

url = {https://doi.org/10.1016/j.frl.2026.110201},

year  = {2026},

date = {2026-09-01},

journal = {Finance Research Letters},

volume = {106},

number = {106},

pages = {110201},

abstract = {Tokenized stocks emerge as an innovative gateway to the ownership of foreign assets that otherwise would not be accessible to many investors worldwide. In this paper, we investigate whether tokenized stocks are priced efficiently based on the analysis of tracking errors that may arise between tokenized and traditional stocks. We find that tracking errors increase with return volatility, market-wide uncertainty and weaker alignment between token and equity returns. Moreover, mis-tracking is more pronounced for firms with higher valuations, greater market risk exposure, and elevated short-selling activity.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sebban_4592,

title = {Lightweight real-time image captioning for mobile systems: an optimized multimodal framework and benchmarking study},

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

url = {https://doi.org/10.1007/s11554-026-01975-0},

year  = {2026},

date = {2026-09-01},

journal = {Journal Of Real-Time Image Processing},

volume = {2026},

number = {23},

pages = {178},

abstract = {Visually impaired people continue to face barriers in accessing written and audio content. To address this, we propose a comparative study of advanced technological solutions that enhance autonomy and environmental interaction. Specifically, we utilize deep learning models, including InceptionV3, InceptionV4, and ResNet50, in conjunction with long short-term memory (LSTM) and gated recurrent unit (GRU) decoders, all of which are trained on the MS COCO 2017 dataset. Furthermore, integrated OCR, translation, and speech synthesis modules improve visual recognition and multilingual accessibility. These capabilities are brought together in a mobile application that combines these features for real-time interaction. For evaluation, we use task-specific captioning metrics, a composite operational score, and mobile-oriented efficiency indicators. The optimized InceptionV4-LSTM model achieves a BLEU-4 score of 0.4189, a ROUGE-L score of 0.688, and a SPICE score of 0.0599 for image captioning. After converting the trained model into a frozen TensorFlow ProtoBuf (.pb) format and deploying it within the Android application on a Samsung Galaxy A11 smartphone, the model achieves an inference time of 178 ms, a frame rate of 5.6 FPS, and a memory usage of 410 MB. The full multimodal pipeline, evaluated on 3,451 images, reaches an overall operational score of 92.6%, showing favorable performance compared with the evaluated baseline configurations. Taken together, these findings support the feasibility of efficient multimodal assistive systems for real-world mobile accessibility.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{lebon_4518,

title = {A computer-aided manufacturing tool for analyzing the tool-workpiece contact during the micro grinding of dental prostheses},

author = {Nicolas Lebon and Laurent Tapie},

url = {https://doi.org/10.21203/rs.3.rs-9860168/v1},

year  = {2026},

date = {2026-09-01},

journal = {International Journal Of Advanced Manufacturing Technology},

abstract = {Dental CAD/CAM milling involves complex interactions between prosthesis geometry, tool geometry, and machine kinematics, which can strongly affect local machining conditions and reachability. This study proposes a geometrical and kinematic framework to evaluate effective grinding speed and tool reachability during the machining of dental crowns. Two commercial diamond burs with different geometries were modeled, and their interaction with a three-dimensional crown geometry was analyzed. Local effective grinding speed was determined according to the tool-surface orientation and effective grinding radius, while surface curvature was used to assess geometrical reachability. Results showed substantial spatial variations in effective grinding speed, with the lowest values occurring near the tool axis and higher values toward the tool flanks. Despite differences between the investigated tools, the hemispherical tip governed most of the material removal, emphasizing the importance of this region for tool design and machining strategy. Under fixed 3-axis machining, the remains unreachable crown surface ranges from 39.14% to 67.1%, depending on the tool geometry. Introducing a 4th rotary axis reduced the unreachable surface to 9.62%, with residual inaccessible areas predominantly concentrated in occlusal grooves. A geometrical and numerical sensitivity analysis further showed that mesh-resolution variations had a limited effect. These findings demonstrate the importance of considering local effective grinding conditions rather than nominal spindle parameters alone and highlight opportunities for CAM optimization through appropriate tool geometry, prosthesis orientation, and multi-axis machining strategies. The proposed framework provides a basis for improving the geometrical manufacturability of dental restorations and guiding future experimentally validated machining strategies.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{xiao_4539,

title = {Enhancing semi-supervised multi-view graph convolutional networks via supervised contrastive learning and self-training},

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

url = {https://doi.org/10.1016/j.knosys.2026.116500},

year  = {2026},

date = {2026-09-01},

journal = {Knowledge-Based Systems},

volume = {349},

pages = {116500},

abstract = {The advent of graph convolutional network (GCN)-based multi-view learning provides a powerful framework for integrating structural information from heterogeneous views, enabling effective modeling of complex multi-view data. However, existing methods often fail to fully exploit the complementary information across views, leading to suboptimal feature representations and limited performance. To address this, we propose MV-SupGCN, a semi-supervised GCN model that integrates several complementary components with clear motivations and mutual reinforcement. First, to better capture discriminative features and improve model generalization, we design a joint loss function that combines Cross-Entropy loss with Supervised Contrastive loss, encouraging the model to simultaneously minimize intra-class variance and maximize inter-class separability in the latent space. Second, recognizing the instability and incompleteness of single graph construction methods, we combine both KNN-based and semi-supervised graph construction approaches on each view, thereby enhancing the robustness of the data structure representation and reducing generalization error. Third, to effectively utilize abundant unlabeled data and enhance semantic alignment across multiple views, we propose a unified framework that integrates contrastive learning in order to enforce consistency among multi-view embeddings and capture meaningful inter-view relationships, together with pseudo-labeling, which provides additional supervision applied to both the cross-entropy and contrastive loss functions to enhance model generalization. Extensive experiments demonstrate that MV-SupGCN consistently surpasses state-of-the-art methods across multiple benchmarks, validating the effectiveness of our integrated approach.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{xiang_4433,

title = {An adaptive-weighted multi-level feature evidence and redundancy penalty method},

author = {Feng Xiang and Chunxiao Xing and Ye Ai and Zhiqiang Wang},

url = {https://doi.org/10.1016/j.engappai.2026.115245},

year  = {2026},

date = {2026-09-01},

journal = {Engineering Applications Of Artificial Intelligence},

volume = {180},

pages = {115245},

abstract = {Aiming to improve quality indicator prediction for the tobacco drying process in a cigarette factory, this study proposes an adaptive-weighted multi-level feature evidence and redundancy-penalty framework (F-XMF). To alleviate the limitations of isolated feature evaluation in complex industrial data, F-XMF jointly considers the direct contribution of individual features, the contribution of feature interactions, and the redundant dependency among candidate features. First, eXtreme Gradient Boosting (XGBoost) is used to estimate the importance of individual features and obtain an initial main-effect feature subset. Meanwhile, an Attentional Factorization Machine (AFM) is employed to identify high-contribution second-order interactions and derive interaction-related evidence. On this basis, conditional mutual information (CMI) is introduced to characterize redundant dependency among candidate features, and a Differential Redundancy Penalty Mechanism is further developed to impose differentiated penalties on highly overlapping features while preserving informative variables with meaningful interaction utility. Finally, a validation-based adaptive weight fusion strategy is used to integrate the main-effect subset and the interaction-related subset, yielding a compact and informative final feature subset. Experimental results on real tobacco-processing data show that F-XMF consistently reduces Mean Absolute Error (MAE) in ablation comparisons and achieves superior performance against multiple representative baseline methods. Mechanism validation further demonstrates that the proposed framework can effectively refine the candidate subset through interaction enhancement and redundancy suppression, showing good interpretability and practical value for outlet moisture content prediction in the tobacco drying process.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{vanaei_4463,

title = {Stereolithography-fabricated type IV hydrogen storage tank liners: Multi-scale characterization of photopolymer resin and structural validation under internal pressure},

author = {Hamidreza Vanaei and Albert Lucas and Mohammadali Rastak and Jérôme Fortineau and Abbas Tcharkhtchi},

url = {https://doi.org/10.1016/j.est.2026.123019},

year  = {2026},

date = {2026-09-01},

journal = {Journal Of Energy Storage},

volume = {172},

pages = {123019},

abstract = {Improving the fabrication flexibility and performance of polymer liners for Type IV compressed hydrogen storage vessels is a critical challenge for the wider deployment of hydrogen fuel cell vehicles. This study establishes, for the first time, the technical feasibility of stereolithography (SLA) as an alternative to rotational molding for manufacturing Type IV liner components using a polyacrylic-based photopolymer resin (Resin Black V4). The effects of build orientation (0°, 30°, 45°, 60° and 90°) and post-processing conditions (UV curing at room temperature, 60°C and 80°C) on mechanical, thermal, viscoelastic and fatigue properties were systematically characterized. Significant orientation-dependent anisotropy was observed, with tensile strength decreasing 13% and compressive modulus decreasing 72% from 0° to 90°. UV+60°C post-curing achieved 74.5±1.2 MPa tensile strength with 7.7% ductility and fatigue endurance up to 10? cycles at 15 MPa. UV+80°C induced embrittlement despite higher static strength (79.9±1.6 MPa), significantly reducing fatigue life. Dynamic mechanical analysis showed glass transition temperature increases of up to 35°C after post-curing. Ultrasonic testing confirmed approximately 30% elastic constant enhancement and 30% attenuation reduction, establishing a non-destructive quality control pathway for SLA-fabricated components. Tsai-Hill and Tsai-Wu failure criteria predicted orientation-dependent strength with deviations below 6%. Finite element analysis validated against experimental air burst testing on scaled prototype tanks with 1, 3 and 6 mm wall thicknesses confirmed that predicted failure and survival outcomes agreed with experimental observations across all cases. UV+60°C post-processing emerges as optimal by balancing strength, toughness and fatigue resistance, establishing stereolithography as a viable fabrication route for Type IV hydrogen storage liners.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{ruel_4229,

title = {A taxonomy of supply chain resilience},

author = {Salomée Ruel and George A. Zsidisin and Jennifer Blackhurst},

url = {https://doi.org/10.1080/00207543.2026.2645249},

year  = {2026},

date = {2026-09-01},

journal = {International Journal Of Production Research},

volume = {64},

number = {18},

pages = {7997-8020},

abstract = {Global supply chains (SCs) are increasingly exposed to disruptions that challenge their ability to adapt and recover, making Supply Chain Resilience (SCRes) a key concern for scholars, educators, and practitioners. Yet, despite its prominence, the concept remains theoretically fragmented, with numerous definitions and typologies that may obscure rather than clarify its meaning in practice. This study addresses this theoretical and practical dilemma by investigating how SC professionals themselves conceptualise and operationalise SCRes. Drawing on an open-ended survey of 51 practitioners across diverse industries, the data were analysed through iterative deductive and inductive coding to identify shared patterns and themes. As a result, the study develops an empirically grounded taxonomy of SCRes comprising three interrelated dimensions, namely: adaptive capacity, structural agility, and transformative learning. This taxonomy is an original contribution that advances theory by reconciling divergent conceptual perspectives, resulting in a practical decision aid to diagnose and prioritise SCRes investments in production and logistics systems. This study offers managers actionable guidance for embedding resilience in SC strategy and operations, and provides educators with a framework to better prepare future SC professionals for managing disruptions in vulnerable, uncertain, complex and ambiguous environments.},

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{latukha_3904,

title = {Awkward Positioning of International Student: Concept Clarification for Developing International Student Talent},

author = {Marina Latukha and Yunxin Luo and Andrei Panibratov},

url = {https://doi.org/10.1177/15344843251382834},

year  = {2026},

date = {2026-09-01},

journal = {Human Resource Development Review},

volume = {25},

number = {3},

pages = {261-288},

abstract = {This paper unpacks the dominant concepts of international students, a demographic of increasing significance within the global talent pool. This study explore how past research identifies international students to reveal the contradictory nature of ter- minology that could serve as a barrier for talent identification and development within organizational settings. We propose the definition and introduce five criteria for discussing who international students are from the talent development lens. We also suggest avenues for future research. Clarifying the concept of international students is crucial for identifying and understanding their nature and characteristics, which in turn facilitates their development into valuable talent.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{bzeouich_4598,

title = {CEO overconfidence and carbon emissions: does board diversity matter?},

author = {Bilel Bzeouich and Sabrina Khemiri and Faten Lakhal and Assil Guizani and Ramzi Benkraiem},

url = {https://philpapers.org/rec/BZECOA},

year  = {2026},

date = {2026-08-01},

journal = {International Journal of Business Governance and Ethics},

volume = {In press},

abstract = {This study tests the effect of chief executive officer (CEO)

overconfidence effect on carbon emissions. Using a sample of French public

firms from 2009 to 2020, our findings associate positively CEO overconfidence

with corporate carbon emissions suggesting that the overconfidence bias may

lead CEOs to have a risk-taking and unethical behaviour and demonstrate a low

awareness of environmental protection. However, board diversity including

gender, cultural and expertise diversity mitigates the effect of this behavioural

bias on carbon emissions. Further evidence shows that the presence of CSR

committee and family ownership are two potential mitigating mechanisms in

the CEO overconfidence-carbon emissions relationship. Our findings give insights to investors and policymakers who may consider the behaviour of

overconfident CEOs and the effectiveness of board diversity for addressing

carbon risks.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{toufaily_4560,

title = {Decentralized branding: eWOM, market dynamics and brand value in Web3},

author = {Elissar Toufaily and Efstathios Polyzos and Mieszko Mazur},

url = {https://doi.org/10.1108/EJM-10-2022-0773},

year  = {2026},

date = {2026-08-01},

journal = {European Journal Of Marketing},

volume = {60},

number = {8},

pages = {2022-2057},

abstract = {Purpose



This paper aims to investigate how brands emerge and acquire value in decentralized digital ecosystems and examines the role of electronic word-of-mouth (eWOM) on social media in shaping their market interest and valuation.



Design/methodology/approach



The research design considers two studies: one exploratory, based on interviews with Web3 experts and the other on econometric analysis of data from X (13 million tweets relating to 7 Web3-native brands) and OpenSea (315 million nonfungible token [NFT] transactions).



Findings



The findings show that brand value formation in decentralized environments rests on three layers: an asset-based value layer, a network-based value layer and a marketplace-based value layer. The research demonstrates that both the volume and valence of eWOM independently influence consumer awareness, desirability and the value or price of NFT-based brands in the marketplace. However, their interaction, or an excessively positive eWOM, can have a counterproductive effect, signaling hype and reducing perceived credibility in speculative digital markets.



Research limitations/implications



The research contributes to the emerging Web3 literature by proposing an empirical framework for decentralized brand value formation in digital ecosystems. The framework captures how brand value is generated and how eWOM and marketplace trading and activities influence this value in decentralized environments. However, the analysis is based on seven Web3 native brands and on data gathered in the context of a bull market.



Practical implications



The study offers brand managers empirical insights into branding in decentralized ecosystems. It provides operational strategies for decision-makers who are seeking to develop effective branding strategies in emerging decentralized marketplaces.



Social implications



The study shows that decentralized branding empowers users and online communities to shape Web3 brand value.



Originality/value



The study contributes to the growing understanding of decentralized branding by showing how brand value and eWOM dynamics shape brand creation in decentralized and speculative markets. It shows that digital discourse can simultaneously function as a mechanism of brand amplification and as a potential signal of speculative overvaluation. To the best of the authors' knowledge, it is the first study that proposes an empirical investigation of the value of decentralized branding and its relation to eWOM.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{kamaha_4574,

title = {Beyond traditional finance: digital financial, cash management and employment outcomes in emerging economies},

author = {Marinette Kamaha and Serge Valant Gandja and Muhammad Atif},

url = {https://doi.org/10.1108/RAF-05-2025-0171},

year  = {2026},

date = {2026-08-01},

journal = {Review of Accounting and Finance},

pages = {1-19},

abstract = {Purpose - This study aims to examine how digital financial penetration (DFP) influences cash

management practices (CMP) and employment outcomes in emerging economies. Drawing on an

integrated friction-reduction framework that combines transaction cost economics and information

asymmetry theory and anchoring our analysis in institutional substitution and digital leapfrogging

perspectives, the authors investigate the mechanisms through which DFP shapes firm-level financial and

labor market outcomes.

Design/methodology/approach - Using firm-level data from 33,136 firms across 30 countries, the authors

used instrumental variable regression, moderated mediation, threshold analyses and structural equation

modeling to examine how DFP influences employment through CMP.

Findings - The DFP significantly enhanced CMP and employment outcomes, with the strongest effects in

less financially developed contexts. Instead of complementing traditional financial infrastructure, DFP acts as

a substitute, with its impact being most pronounced in low-development environments. Threshold analysis

confirmed regime-dependent effects, while mediation analysis identified CMP as a significant channel linking

DFP to employment, alongside other complementary pathways.

Practical implications - The findings suggest prioritizing digital financial infrastructure investments in

less-developed financial markets that yield the highest returns for employment creation and wage

enhancement.

Social implications - At the firm level, DFP enables businesses to create more jobs and better wages,

particularly in less developed financial markets. These firm-level improvements aggregate and may contribute

to inclusive economic growth. However, their link to macro-level societal outcomes warrants further

investigation.

Originality/value - This study contributes to the literature by integrating friction-reduction and

institutional substitution frameworks to explain how DFP shapes firm outcomes, revealing that digital

finance operates as a substitute for rather than a complement to traditional financial infrastructure.

Empirically, it demonstrates both job creation and wage effects while uncovering threshold dynamics

across development contexts.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{latukha_4585,

title = {Talent management in the context of AI adoption: implications for talent and firms},

author = {Marina Latukha and Hugh Scullion},

url = {https://doi.org/10.1108/PR-11-2025-1289},

year  = {2026},

date = {2026-08-01},

journal = {Personnel Review},

volume = {Vol. ahead-of-print},

number = {No. ahead-},

pages = {1-24},

abstract = {Purpose



This article explores how both organizations and ?talents? (talented employees) are responding to the adaptation of artificial intelligence (AI).

Design/methodology/approach



We follow a phenomenon-based approach to describe the key trends and challenges influenced by the new work arrangements and seek to address the who, how, where and why issues. Specifically, we discuss the impact of organizations' digital transformation on talent identification, and show how these changes configure new management challenges from a talent management (TM) perspective.

Findings



Our research highlights how AI is impacting people and organizations everywhere as the technology continues to advance, whereas the introduction of AI in the workplace is fundamentally changing existing work arrangements.

Originality/value



Our article examines how the TM agenda evolves as organizations adopt AI and highlights the role that employees play in the implementation of AI in the workplace-new developments that are recently neglected in the literature. The article highlights that the integration of AI is revolutionizing TM by improving the methods used to identify, develop and retain talent and highlights the role of TM in pioneering managerial responses to AI integration to maximize organizational effectiveness. The article enriches the literature by adding new research perspectives which enhance our understanding of how AI is reshaping TM agenda.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{dreval_4563,

title = {Space structure of the EGAM modes in TCV, experimental observations and modeling},

author = {Mykola Dreval and Alessandro Biancalani and Thomas Hayward-Schneider and Alexey Mishchenko and A. N. Karpushov and A. Jansen van Vuuren and U. A. Sheikh and Didier Gossard and S.E. Sharapov and Baruch Rofman},

url = {https://iopscience.iop.org/article/10.1088/1361-6587/ae90e6},

year  = {2026},

date = {2026-08-01},

journal = {Plasma Physics And Controlled Fusion},

volume = {68},

number = {1},

pages = {082501},

abstract = {The complex spatial structure of energetic-particle-driven geodesic acoustic modes (EGAMs) has been recently observed experimentally in the TCV tokamak (Dreval et al 2025 Nucl. Fusion 65 016037). In the present work, we model the spatial structure of EGAM modes in the TCV equilibrium using a realistic fast ion distribution function, implemented in the gyrokinetic particle-in-cell code ORB5. For a peaked radial profile of fast ions, the EGAM spatial structure coincides with that of the conventional geodesic acoustic mode, characterized by an nm?1 = 0/0 plasma potential perturbation and an m = 1 standing density perturbation, where the amplitude of the density oscillations is proportional to the sine of the poloidal angle. In contrast, for a hollow fast-ion radial profile and a marginally stable mode, our simulations reproduce a complex EGAM spatial structure similar to that observed experimentally in TCV, with two coexisting density fluctuation frequencies at different radial locations.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el_magri_4581,

title = {Machine learning-based optimization of FFF process parameters for enhanced mechanical properties of 3D-printed PEEK in Z-direction},

author = {Anouar El Magri and Hamidreza Vanaei and Zakariae Bouchkara and Mohammadali Rastak and Mohammad Moezzibadi and Abbas Tcharkhtchi and Abdelhadi Abdelhadi El Hakim and Sofiane Khelladi},

url = {https://doi.org/10.1108/RPJ-03-2026-0158},

year  = {2026},

date = {2026-08-01},

journal = {Rapid Prototyping Journal},

volume = {Vol. ahead-of-print},

number = {No. ahead-},

pages = {1-16},

abstract = {Purpose - Mechanical anisotropy in Z-direction printed polyether ether ketone (PEEK) components fabricated by fused filament fabrication (FFF) remains a critical limitation for load-bearing applications. Traditional response surface methodology (RSM) assumes polynomial relationships that inadequately capture the nonlinearities governing FFF of high-performance semi-crystalline polymers. This study aims to develop and validate a machine learning-based framework to optimize FFF process parameters for enhanced Z-direction mechanical properties and reduced porosity in 3D- printed PEEK. Design/methodology/approach - A central composite design across 15 printing conditions provided the experimental data set. Four ML algorithms were evaluated through leave-one-out cross-validation. Feature importance was assessed via permutation importance, SHAP values and partial dependence plots. Multi-objective optimization through NSGA-II generated a Pareto front, and consensus optimal parameters were validated through ten independent tensile specimens. Findings - Random forest achieved superior predictive accuracy (R2 greater than 0.94, MAPE equal to 3.9%). Layer thickness was identified as the dominant parameter, with a model-predicted transition at approximately 0.22 mm where porosity increases in an accelerated manner, presented as a hypothesis requiring future experimental validation. NSGA-II generated 295 Pareto-optimal solutions. Validated parameters (408?C, 57 mm/s, 0.098mm) yielded prediction errors below 4.1%, achieving 62% tensile strength improvement and 76% porosity reduction relative to the least favorable condition. Originality/value - This work presents the first experimentally validated multi-objective ML optimization framework for Z-direction mechanical property enhancement of FFF-printed PEEK. It identifies a critical layer thickness threshold governing porosity transitions, and generates a multi- solution Pareto front enabling parameter space exploration that RSM-based approaches cannot provide for this material system.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{uyar_4580,

title = {ESG controversies and corporate debt financing: the role of financial market development},

author = {Ali Uyar and Faten Lakhal and Cemil Kuzey and Abdullah S. Karaman},

url = {https://doi.org/10.1108/JES-01-2026-0032},

year  = {2026},

date = {2026-08-01},

journal = {Journal of Economic Studies},

volume = {Vol. ahead-of-print},

number = {No. ahead-},

abstract = {Purpose - Prior studies have investigated whether environmental, social and governance (ESG) performance is

associated with debt financing. However, the relationship between ESG controversies and debt financing is still

underexplored. We then investigate whether (1) avoiding ESG controversies is significantly associated with debt

financing and cost of debt and (2) the role of financial market development in this relationship.

Design/methodology/approach - Our analysis is based on an international sample of 69,468 observations from

2005 to 2023. We employ country, industry and year fixed-effects regressions and address endogeneity using

two-stage least squares (2SLS) regression.

Findings - We find that avoiding ESG controversies is positively associated with debt financing, but it is not

significantly associated with the cost of debt. However, the findings report mixed results for the moderation

effect of debt market development and equity market development. While avoiding ESG controversies and cost

of debt are negatively associated in more developed debt markets, they have no significant association in more

developed equity markets. On the other hand, while avoiding ESG controversies and debt financing are

positively associated in more developed equity markets, they are negatively associated in more developed debt

markets.

Originality/value - Our paper is original for several reasons. First, the literature on ESG controversies' debt

financing implications is scarce, unlike positive ESG. Second, different institutional contexts might amplify or

attenuate the association between ESG controversies and debt financing, suggesting policymaking implications.

Lastly, our investigation has implications for sustainability governance and financing decisions at the interplay

between legitimacy and institutional theories.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{el-amrani_4576,

title = {A new mathematical model for phosphate slurry using non-Newtonian incompressible fluids},

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

url = {https://doi.org/10.1080/00036811.2026.2722333},

year  = {2026},

date = {2026-08-01},

journal = {Applicable Analysis},

pages = {1--31},

abstract = {Hydraulic transport of slurries requires accurate characterization of their rheological properties, particularly because of their non-Newtonian behavior. For water-phosphate slurries, however, rheological behavior remains poorly investigated, while classical constitutive models may be inadequate because of substantial variations in physicochemical composition. We propose a mathematical model for phosphate slurry flow, treating the slurry as a non-Newtonian incompressible fluid. The governing equations consist of the incompressible Navier-Stokes system with a shear-rate-dependent nonlinear viscosity, whose constitutive relation depends on slurry concentration. This system is coupled with an advection-diffusion equation governing concentration transport, so that the evolving concentration field directly modifies the fluid viscosity. We establish existence and uniqueness of a weak solution for the coupled system using a fixed-point method. To compute the solution, we develop an iterative scheme that decouples the velocity and concentration equations. We further prove convergence of the iterative scheme to the unique solution and derive corresponding convergence estimates. Numerical simulations involving two test cases assess the theoretical results and evaluate the performance of the proposed algorithm. The computational results confirm the theoretical predictions and demonstrate robust convergence consistent with the derived estimates, supporting the effectiveness of the proposed model for concentration-dependent phosphate slurry transport in practical engineering applications.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{kefi_4391,

title = {Impact of Stress on Workplace E-Learning Satisfaction:  Gender and Generational Effects},

author = {Hajer Kefi and Peter Saba and Ekaterina Besson and Karina Sokolova},

url = {https://doi.org/10.1007/s10796-026-10771-x},

year  = {2026},

date = {2026-08-01},

journal = {Information Systems Frontiers},

abstract = {This study investigates the determinants of learner satisfaction in workplace e-learning, emphasizing Perceived Stress, Instructor Support, Learner-Learner Interaction, and Self-Motivation. It offers a novel perspective by integrating psychological factors into the Virtual Learning Environment (VLE) framework, with a particular focus on gender and generational differences in LifeLong Learning (LLL) within the tourism sector. Using data from 318 French tourism employees, Partial Least Squares (PLS) analysis shows that Perceived Stress negatively affects E-Learning Satisfaction. Subgroup analyses further indicate patterned variation across gender and generation, with stress appearing more salient in the female subgroup and Learner-Learner Interaction simultaneously fostering satisfaction while being associated with higher stress among Generations Y and Z. In addition, Self-Motivation appears especially important under higher stress. These insights advance Information Systems (IS) research by refining VLE frameworks to account for demographic diversity in technology-mediated learning. The study offers practical guidance for designing inclusive e-learning strategies, advocating for stress mitigation, adaptive instructor support, and structured peer engagement to enhance learning effectiveness in corporate environments.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{el-amrani_4455,

title = {A consistent viscosity-splitting method for the Navier-Stokes equations with pressure boundary conditions},

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

url = {https://doi.org/10.1016/j.cma.2026.119063},

year  = {2026},

date = {2026-08-01},

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

volume = {458},

pages = {119063},

abstract = {The incompressible Navier-Stokes equations equipped with classical boundary conditions have been extensively studied from both theoretical and numerical perspectives, and a wide variety of fractional-step and splitting methods have been developed to reduce their computational complexity. However, in many realistic flow configurations, standard boundary conditions are inadequate to accurately represent the physical behavior at open or artificial boundaries, where mixed or pressure-based conditions are more appropriate. Despite their practical relevance, such unconventional boundary conditions have received comparatively little attention in the design and analysis of consistent splitting schemes. In the present work, we propose a class of viscosity-splitting schemes for the incompressible Navier-Stokes equations subject to non-standard boundary conditions. In particular, the velocity is prescribed in a Dirichlet sense on a portion of the boundary, while on the complementary part the tangential velocity together with the total pressure is imposed. The proposed schemes are constructed to ensure consistency with the continuous problem and to properly account for prescribed pressure on the boundary. To enhance mass conservation and improve numerical robustness, a grad-div stabilization term is incorporated into the formulation. The convergence and accuracy properties of the resulting methods are assessed using a series of numerical examples, which demonstrate their effectiveness in handling pressure boundary conditions and confirm the expected convergence behavior. These results indicate that the proposed viscosity-splitting approach provides a reliable and efficient method for the simulation of incompressible flows with physically relevant, non-standard boundary conditions.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{barletti_4279,

title = {Trend to equilibrium of the Wigner function describing a quantum particle subject to decoherence},

author = {Luigi Barletti and Francesco Salvarani},

url = {https://doi.org/10.1016/j.aml.2026.109944},

year  = {2026},

date = {2026-08-01},

journal = {Applied Mathematics Letters},

volume = {179},

pages = {109944},

abstract = {This paper studies the long-time behavior of a spatially homogeneous Wigner equation describing a quantum particle subject to decoherence. The model extends the classical Wigner-Fokker-Planck equation by including a general decoherence term derived from microscopic collision mechanisms. An explicit representation of the equilibrium state is obtained, and a

necessary and sufficient condition ensuring that the equilibrium state belongs to ?2 is established, highlighting the balance between friction and decoherence. Under suitable assumptions on the initial data, exponential convergence in L2 toward equilibrium is rigorously proved.},

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{nasir_3862,

title = {A study on the dynamics of government-university-industry knowledge transfer in emerging knowledge-based economies},

author = {Nayab Nasir and Sarwar M. Azhar and Muhammad Ishtiaq Ishaq and Iqra Shafqat},

url = {https://doi.org/10.1093/scipol/scaf038},

year  = {2026},

date = {2026-08-01},

journal = {Science And Public Policy},

pages = {scaf038},

abstract = {This article is drawn from a more extensive study on the dynamics of government-university-industry knowledge transfer in an emerging knowledge-based economy (KBE). Pragmatism was used as the fundamental philosophical tenet for this research, as the grounded theory approach was applied to identify the barriers and challenges that hinder the progress of universities consequently offering pragmatic solutions. Participants were selected using theoretical sampling technique who responded to questions addressing the performance of key entities in the triple helix framework of Pakistan. The dominant themes that emerged after data saturation included (1) perception of a KBE, (2) building knowledge-transfer channels, (3) efficiency of knowledge-transfer activities, and (4) knowledge co-creation spaces. These domains aided in developing a model for building sustainable knowledge co-creation spaces, with implications for policymakers to facilitate higher education institutions in improving their performance in the triple helix framework of developing countries.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{sarang_4544,

title = {Board Co?Option and Corporate Social Responsibility Decoupling},

author = {Aitzaz Ahsan Alias Sarang and Asif Saeed and Asad Ali Rind and Ammar Ali Gull},

url = {https://doi.org/10.1002/ijfe.70269},

year  = {2026},

date = {2026-07-01},

journal = {International Journal Of Finance & Economics},

pages = {1-23},

abstract = {The current study addresses the question of how co-opted directors affect corporate social responsibility decoupling. Using a US sample, we document that the co-opted directors, those hired after the incumbent CEO, significantly and positively impact CSR decoupling, reflecting their weak monitoring. The cross-sectional tests reveal that the relationship persists in firms with weaker internal monitoring, such as low board compensation, poor board oversight, high CEO entrenchment, lower board gender diversity, absence of a CSR committee, and few multiple directorships. However, the presence of strong external monitoring, including analyst coverage, competition intensity, the firm's hostile takeover susceptibility, and audit quality, mitigates this effect. Moreover, the interaction between co-opted directors and CSR decoupling reduces firm value, indicating that weak governance carries real economic costs and ultimately lowers shareholder value. The findings are robust to alternative variable definitions and endogeneity issues. This study contributes to the growing literature on corporate governance's role in CSR decoupling and offers key policy implications for promoting ethical practices.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{mirza_4557,

title = {ESG, Policy Uncertainty and Green Innovation},

author = {Sultan Sikandar Mirza and Najoua Elommal and Asif Saeed},

url = {https://doi.org/10.1002/ijfe.70273},

year  = {2026},

date = {2026-07-01},

journal = {International Journal Of Finance & Economics},

pages = {1-22},

abstract = {China's energy sector is central to national economic growth and industrialization, yet it faces mounting environmental challenges due to its heavy reliance on coal-based energy. Grounded in real-options theory and stakeholder theory, this study examines the relationship between corporate environmental, social and governance (ESG) initiatives, firm-perceived economic policy uncertainty (FEPU) and green innovation strategy (GIS) in China's energy industry. Using a panel of 1203 Chinese A-share-listed energy firms from 2010 to 2023, we find that ESG initiatives significantly promote GIS, with stronger effects observed in utility-oriented green innovations and social dimension-driven ESG activities. Moreover, FEPU positively moderates the ESG-GIS relationship, highlighting the dual role of policy uncertainty as both a constraint and a catalyst for strategic innovation. Heterogeneity analyses indicate that this relationship is more pronounced among larger firms, low-leverage firms, state-owned enterprises and non-new-energy firms. Further evidence shows stronger effects in the post-Paris Agreement period, while FEPU's moderating role is more evident before COVID-19. Overall, the findings offer important implications for policymakers and corporate leaders seeking to foster sustainable innovation under regulatory uncertainty.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{mohamed_4545,

title = {Certified Reachable Sets for Nonlinear Reaction-Diffusion Systems},

author = {Ouchdiri Mohamed and Mohamed Maghenem and Saad Benjelloun and Saoud Adnane},

url = {https://doi.org/10.1109/LCSYS.2026.3709149},

year  = {2026},

date = {2026-07-01},

journal = {IEEE Control Systems Letters},

volume = {10},

pages = {1981-1986},

abstract = {Reachability analysis for dynamical systems seeks to compute a set containing all reachable states at a given time. Compared to ordinary differential equations (ODEs), the analysis of nonlinear reaction-diffusion PDEs with parametric uncertainties remains largely underexplored, due to the infinite-dimensional state space and the variety of solutions under different parameters. We address this through a three-step procedure: 1) Finite Element Methods (FEM)s to discretise the space and generate a finite-dimensional FEM-based model, 2) Proper Orthogonal Decomposition (POD) to build a Reduced-Order Model (ROM), and 3) set-based reachability-analysis methods applied to the ROM. We propose a framework that enables us to derive explicit upper bounds on the approximation errors introduced at each stage of the pipeline. In particular, we quantify the discrepancy between trajectories of the original PDE and those of the FEM-based discretization, as well as the error between the FEM-based model and the reduced-order model. Importantly, these bounds are shown to hold uniformly over the considered set of parameters. By combining these error estimates, we obtain an over-approximation of the reachable set of the original PDE. The approach is illustrated on the Allen-Cahn equation and a logistic growth PDE.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{abbas_4540,

title = {Transactive Memory System and Human Resource Development: A Systematic Review (2000-2025)},

author = {Muhammad Abbas and Sami Ullah Bajwa and Inam Ul Haq and Muhammad Umer Azeem and Muhammad Athar Rasheed},

url = {https://doi.org/10.1177/15344843261468040},

year  = {2026},

date = {2026-07-01},

journal = {Human Resource Development Review},

abstract = {Get access



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Abstract

Human Resource Development (HRD) plays a critical role in advancing learning at the individual, team, and organizational levels by enabling cognitive mechanisms such as Transactive Memory System (TMS). Although TMS was originally conceptualized within the framework of general system theory, prior research has predominantly emphasized its implications for team performance, with limited attention to its integration within HRD scholarship. To address this gap, the present study systematically reviews TMS research published between 2000 and 2025 through the lens of general system theory, positioning TMS as a developmental mechanism within HRD. The review synthesizes the literature into an integrative framework that identifies key developmental and relational inputs, as well as outcomes across individual, team, and organizational levels, while also incorporating relevant moderators. Importantly, the synthesis not only highlights specific HRD practices that contribute to the development of TMS but also proposes a future research agenda calling for deeper and more nuanced exploration of the HRD -TMS linkage.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}

@article{alowisi_4558,

title = {Do Females Perform Better During Crises? An Analysis of Bank Performance After Bailouts},

author = {Mohajer Alowisi and Asif Saeed and Sajid M. Chaudhry and Tianle Yang},

url = {https://doi.org/10.1111/fire.70071},

year  = {2026},

date = {2026-07-01},

journal = {Financial Review (US)},

abstract = {This paper investigates the impact of gender diversity on the performance of the US banks after the government's bailouts in 2008-2009 by using bank holding companies (BHCs) data for the period from 2003 to 2014. Based on critical mass theory, the study provides comprehensive empirical evidence that the relationship between board gender diversity and bank performance is contingent on a specific level of gender diversity on the board. Specifically, the optimal number of women that positively affects performance is under the tilted groups, which is between 20% and 40% of the board members. This is the first study that explores the impact of different levels of gender diversity of US banks on their performance. Our results are robust to endogeneity concerns

(Lewbel-IV and GMM) and several different specifications. The findings of this study provide important implications for various stakeholders, including policymakers, bank executives, and investors in the areas of corporate governance and diversity initiatives.},

keywords = {},

pubstate = {online},

tppubtype = {article}

}