Sustainable Preservation of Historical Temples Through Ventilation Airflow Dynamics and Environmental Analysis Using Computational Fluid Dynamics by Mongkol Kaewbumrung, Chalermpol Plengsa-Ard, Wasan Palasai

“…In addition to airflow distribution, the study evaluated the aerodynamic forces and rotational moments acting on the structure based on five prevailing wind directions. …”
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Advancing freeze drying as an innovative technique for preserving Kashmiri saffron (Crocus sativus L.) by Shubli Bashir, Syed Zameer Hussain, Nusrat Jan, Bazila Naseer, Tanweer Alam

“…Abstract This study evaluated the effect of different freeze-drying (FD) temperatures (-50 °C, -60 °C, -70 °C, and − 80 °C) on quality parameters of saffron stigmas. …”
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Modeling Sports Engagement: A Game Refinement Theory Perspective on Game Length and Scoring Frequency by Muhammad Numan, Hiroyuki Iida, Mohd Nor Akma Khalid

“…Our findings demonstrate that reducing game length while scaling scoring frequency in soccer leads to an ideal GR value (<inline-formula> <tex-math notation="LaTeX">$\approx 0.077$ </tex-math></inline-formula>), aligning structural fairness with emotional pacing. This study offers a novel computational and theoretical lens for evaluating and refining sports formats, with broader implications for enhancing engagement across competitive sports.…”
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Age-dependent shifts in root resource allocation strategies of Pinus yunnanensis seedlings under variable light gradients by Yuanxi Liu, Guihe Duan, Junwen Wu, Rui Shi

“…To elucidate how seedling age affects shade adaptation mechanisms in Pinus yunnanensis, we conducted a light intensity experiment with 1- and 3-year-old seedlings under five light levels (100%, 80%, 45%, 30%, and 5% of full sunlight). We evaluated the root non-structural carbohydrates (NSC), carbon:nitrogen:phosphorus (C:N:P) stoichiometry, and biomass allocation using phenotypic plasticity indices and correlation analysis. …”
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Exploration of Energy-Saving Chilling Landscape Design Based on Algo for Group Intelligence by Zhuo Li

“…The emergence of algo for group intelligences has made some applications of engineering structural optimization possible. Group intelligence is the characteristic of a system in which the collective behavior of low-level individuals interacting locally with their environment forms an overall pattern of consistent functions. …”
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High yield enrichment law for tight sandstone gas reservoir: A case study of the second member of Xujiahe Formation gas reservoir in Xinchang-Hexinchang gas field of western Sichua... by YAN Huanrong,ZHAN Zedong,LI Yajing,BI Youyi,DENG Meizhou,FENG Ying

“…The second member of Xujiahe Formation in Xinchang-Hexingchang gas reservoir has been chosen as the subject of in-depth research to facilitate efficient evaluation and development. The research includes analyzing both static and dynamic characteristics of the gas reservoir, as well as examining the ancient and modern structural positions, fault characteristics, fractures, and reservoir quality of typical wells. …”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…During external validation with the DUDE-Z v.2023.06.20 dataset, GNNSeq attained an average area under the curve (AUC) of 0.74, demonstrating its ability to distinguish active ligands from decoys across diverse ligand–receptor pairs. To further evaluate its performance, we combined GNNSeq with two additional specialized models that integrate structural and protein–ligand interaction features. …”
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Federated hierarchical MARL for zero-shot cyber defense. by Adel Alshamrani

“…The detailed evaluation demonstrates that our approach significantly outperforms existing methods across a range of scenarios. …”
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Agile Roadmapping: An Adaptive Approach to Technology Foresight by Eoin O’Sullivan, Rob Phaal, Charles Featherston

“…This paper highlights the potential of using structured visual roadmapping frameworks to anticipate potential strategic foresight evidence failures and using the adaptive and iterative nature of roadmapping processes to address them. …”
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The Impact of Prompt Engineering and a Generative AI-Driven Tool on Autonomous Learning: A Case Study by Kovan Mzwri, Márta Turcsányi-Szabo

“…The study also examines EnSmart, an AI-driven tool powered by GPT-4 and integrated into Canvas LMS, which automates academic test content generation and grading and delivers real-time, human-like feedback. Performance evaluation, structured questionnaires, and surveys were used to evaluate the course’s impact on prompting skills, academic English proficiency, and overall learning experiences. …”
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Rapid Synthesis of Li10GeP2S12-type Li-Si-P-S-Cl Solid Electrolytes via a Solution Method by Kazuhiro HIKIMA, Ikuyo KUSABA, Masaki SHIMADA, Yuhei HORISAWA, Shunsuke KAWAGUCHI, Minoru KUZUHARA, Hiroyuki MUTO, Atsunori MATSUDA

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Computational analysis of Annona muricata phytochemicals for targeted modulation of endocrine networks in polycystic ovary syndrome by Babatunji Emmanuel Oyinloye, Oluwaseun Emmanuel Agboola, Aderonke Moyosola Ayeni, Oluwatoyin Mary Oyinloye, Samuel Sunday Agboola, Olajumoke Tolulope Idowu, Makhosazana Siduduzile Mathenjwa-Goqo, Olutunmise Victoria Owolabi, Bolajoko Idiat Ogunyinka, Foluso Oluwagbemiga Osunsanmi, Basiru Olaitan Ajiboye, Olaposi Idowu Omotuyi

“…The results demonstrated various ligands with remarkable binding affinities for progesterone, androgen, and abiraterone receptor architectures matching or exceeding native standards, implying possible efficacy for coordinately modulating these interconnected hormonal sites. Detailed structural mapping of emodin and coclaurin uncovered conserved non-covalent interaction patterns, notably hydrogen bonding networks, facilitating the ligands’ competitive receptivity and deep projection into dysfunctionally upregulated pockets. …”
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Computational prediction of deleterious nonsynonymous SNPs in the CTNS gene: implications for cystinosis by Leila Adda Neggaz, Amira Chahinez Dahmani, Ibtissem Derriche, Nawel Adda Neggaz, Abdallah Boudjema

“…Molecular dynamics simulations revealed that these mutations significantly increase local flexibility, alter hydrogen bonding patterns, and enhance solvent accessibility, resulting in structural perturbations. …”
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Generative AI in construction risk management: a bibliometric analysis of the associated benefits and risks by Mohamed Abdelwahab Hassan Mohamed, M.K.S. Al-Mhdawi, Udechukwu Ojiako, Nicholas Dacre, Abroon Qazi, Farzad Rahimian

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Research Trends in the Field of Participatory Governance: Drawing a Map of Co-occurrence and Co-word Analysis by Seyed Mohsen Mirbagheri, Seyed Mostafa Jalili

“…Objective In today's dynamic societal structure, the active participation and involvement of people in decision-making, implementation, and monitoring processes are indispensable for the successful realization of any plan. …”
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THE IMPACT OF ARTIFICIAL INTELLIGENCE ON THE DEVELOPMENT OF PREDICTIVE COMPETENCE IN MODERN SPECIALISTS by Viacheslav Osadchyi, Maksym Pavlenko, Liliia Pavlenko, Oleksii Sysoiev, Vladyslav Kruglyk

“…At the same time, diverse adaptation patterns to AI use necessitate a rethinking of the role of human judgement and raise concerns about technological dependency, algorithmic bias, and unequal access to innovation. …”
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Investigation of parallel joint density thresholds for granite tunnel failure based on physical model experiments and multiscale monitoring techniques by Huai-Sheng Xu, Shao-Jun Li, Ding-Ping Xu, Quan Jang, Liu Liu, Min-Zong Zheng, Xu-Feng Liu

“…Their failure mode was primarily joint-controlled, featuring macro-block structural failure as the dominant pattern and extensive stress-weakened zones due to parallel joint network effects. …”
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AN ANALYTİCAL ASSESSMENT OF THE TURKİSH DEFENSE INDUSTRY AND ITS ECONOMİC IMPLİCATİONS by Melek Adsiz

“…This article makes an overall evaluation of Türkiye's defense industry through an examination of its historical trajectory, strategic role, structural transformation, sectoral performance indicators, and economic role in a wider senseThe study aims to interpret the shifting pattern of the sector by analyzing export-import performance, labor trends, and its effects on technological and industrial development. …”
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Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis by ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

“…We also evaluated the predictive power of these linguistic features using machine learning and identified key thematic structures through semantic network analysis. …”
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Experimental Investigation of Hydrogen Embrittlement in Post-Fire Q690 Weldments by Xu-Yang Wang, Cheng-Wang Tang, Wen-Jiao Dan

“…The results of the study show that the heat treatment temperature has a significant effect on the hydrogen embrittlement susceptibility of welded structural components. Higher heat treatment temperatures and longer hydrogen charging times lead to a decrease in the mechanical properties of the material, which is characterised by a flatter and smoother macroscopic fracture surface, while the microscopic fracture pattern is characterised by micro-voids. …”
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