Biophilic Design and Children’s Well-Being in Kindergartens in Henan, China: A PLS-SEM Study by Huizi Deng, Raha Sulaiman, Muhammad Azzam Ismail

“…Subsequently, Partial Least Squares Structural Equation Modelling (PLS-SEM) was applied to explore relationships between biophilic elements and children’s developmental outcomes. …”
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Conceptual Framework of Energy-and-Ecology of Indoor Plant Lighting by Sergei A. Rakut’ko

“…(Conclusions) For the first time, the author raises a question about the development of structural elements of the BAT formation algorithm in lighting horticulture in terms of energy-ecological indicators as an integrative optimality criterion of the system. …”
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MONITORING AND CONTROL SYSTEM OF THE STAKEHOLDERS ACTIVITIES FOR PROJECT BASED ON THE EARNED DURATION MANAGEMENT METHOD by R. Yu. Dashkov, A. V. Tislenko

“…This method and the temporary status reports obtained on its basis have found practical application in the implementation of the LNG (Liquefied Natural Gas) plant construction project and led to effective communication between the Project Office and the company's management with external stakeholders.Conclusions and Relevance: these studies show that the Earned Duration Management method for a phase-split project is effective in coordinating project and ongoing activities, and can also serve as an Interpretation Model in the project monitoring and control system. …”
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TECTONOSTRATIGRAPHIC RESPONSE TO FAULTING IN RED BED ENVIRONMENT USING LIDAR DATA: THE ABU ZENIMA FORMATION SINAI by Auwalu Yola Lawan, Abdullah Musa Ali, Byami Andrew Jolly

“…This study investigates the tectono-stratigraphic response of the continental red beds of Abu Zenima Formation, Sinai using digital outcrop modelling to the evolution of the intra-block Nukhul fault zone during the Oligo-Miocene initial rifting phase in the Suez Rift, Egypt. …”
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Lost archaeological heritage: virtual reconstruction of the medieval castle of San Salvador de Todea by Patricia Valle Abad, Adolfo Fernández Fernández, Alba Antía Rodríguez Nóvoa

“…This paper gathers the results of the investigation developed to create a reconstructive hypothesis for the castle and its materialization in a digital model, as a way to interpret and understand its structure. …”
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Improved graph convolutional network for emotion analysis in social media text by Bharti Khemani, Shruti Patil, Sachin Malave, Jaya Gupta

“…Additionally, an attention mechanism selectively emphasizes contextually significant words, enhancing interpretability and classification accuracy.Key contributions: • Graph-based sentiment modelling to capture deep semantic relationships in text. • Improved interpretability through attention-weighted word importance. • Scalability for large social media datasets, ensuring efficient processing.Through extensive comparative experiments, our model achieves 78.64% and 92.38% accuracy, demonstrating the effectiveness of GNNs in large-scale emotion classification. …”
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Critical Success Factors for Enhancing Intelligent Loading and Unloading in Urban Supply Chains: A Comprehensive Approach Based on Fuzzy DEMATEL-AISM-MICMAC by Xiaoteng Wang, Meihui Zhou, Miao Su

“…Fuzzy DEMATEL and the Adversarial Interpretive Structure Model (AISM) were then applied to analyze the identified factors. …”
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Use of Vision Transformer to Classify Sea Surface Phenomena in SAR Imagery by Junfei Xia, Roland Romeiser, Wei Zhang, Tamay Ozgokmen

“…Notably, this study introduces the use of the attention mechanism in ViTs to elucidate model decision-making, providing interpretability by highlighting regions that influence predictions and revealing why the model succeeds or fails in specific cases. …”
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Fuzzy Fault Tree Maintenance Decision Analysis for Aviation Fuel Pumps Based on Nutcracker Optimization Algorithm–Graph Neural Network Improvement by Weidong He, Xiaojing Yin, Yubo Shao, Dianxin Chen, Jianglong Mi, Yang Jiao

“…Fault Tree Analysis (FTA) has a clear structure and strong interpretability in maintenance decision making. …”
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Examining the Role of Social Media in New Social Movements A Case Study of the Black Lives Matter Movement by Ali Davari, Mostafa Ghaffari

“…Moreover, the movement’s decentralized, network-based structure—which grants autonomy to local chapters and facilitates digital activism without formal membership—aligns with Melucci’s model of non-hierarchical organization in new social movements. …”
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Machine learning prediction of pKa of organic acids by Juda Baikété, Alhadji Malloum, Jeanet Conradie

“…Structural and organic parameter (SPOC)-based descriptors were introduced to represent the physicochemical properties of molecules. …”
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Muographic Image Upsampling with Machine Learning for Built Infrastructure Applications by William O’Donnell, David Mahon, Guangliang Yang, Simon Gardner

“…However, the technology’s reliance on this natural source results in a constrained muon flux, leading to prolonged acquisition times, noisy reconstructions, and challenges in image interpretation. To address these limitations, we developed a two-model deep learning approach. …”
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Do P2Y12 receptor inhibitors prescribed poststroke modify the risk of cognitive disorder or dementia? Protocol for a target trial using multiple national Swedish registries by John Attia, Michael Nilsson, Frederick R Walker, Christopher Oldmeadow, Michael Pollack, Jenny Nyberg, Sara Gustavsson, N David Åberg, Georg Hans Kuhn, Madeleine Hinwood, Marina Ilicic, Chris Levi, Sarah J Johnson, Leeanne M Carey, Lucy Leigh, Neil Spratt, Thomas Lindén

“…The analysis and interpretation of the results will be heavily reliant on the structure, quality and potential for bias of the databases used. …”
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Factors controlling enrichment and accumulation of Devonian–Carboniferous shale gas in the Yaziluo rift trough in the Yunnan–Guizhou–Guangxi region by WANG Yufang, ZHAI Gangyi, SHI Wanzhong, WANG Jinzhu, ZHANG Jiazheng, KANG Haixia, ZHANG Yunxiao, ZHOU Hui, ZHANG Shuting

“…Conclusion  On this basis, the main controlling model for the enrichment and accumulation of shale gas in the Devonian-Carboniferous system in the Yunnan-Guizhou-Guangxi region is proposed: "rift trough deposition, deep-water lithofacies controlled hydrocarbon generation, and structural preservation in secondary rift troughs". …”
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Advancing drug-drug interactions research: integrating AI-powered prediction, vulnerable populations, and regulatory insights by Wenzhun Huang, Wenzhun Huang, Xiao Wang, Xiao Wang, Yunhao Chen, Yunhao Chen, Changqing Yu, Shanwen Zhang, Shanwen Zhang

“…Innovative techniques like graph neural networks (GNNs), natural language processing, and knowledge graph modeling are being increasingly utilized in clinical decision support systems (CDSS) to improve the detection, interpretation, and prevention of DDIs across various patient demographics. …”
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Extracting Overtaking Segments by Unsupervised Clustering and Predicting Nonmotorized Vehicle’s Trajectory by Ailing Yin, Xiaohong Chen, Lishengsa Yue

“…Interpretation of flexible cycling behavior has always been a tough task. …”
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2D-QSAR driven design, molecular docking, molecular dynamics simulation and MM/GBSA studies on quinazoline derivatives for development of VEGFR-2 inhibitors by Mayank Kashyap, Saurabh Gupta, Yogita Bansal, Gulshan Bansal

“…Structural features characterised as promoters and hinderers were extracted from the M4 model and their mechanistic interpretation was employed to improve the pIC50 of least potent compound SM33 from the dataset. …”
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Enhancing shear strength predictions of UHPC beams through hybrid machine learning approaches by Sanjog Chhetri Sapkota, Ajad Shrestha, Moinul Haq, Satish Paudel, Waiching Tang, Hesam Kamyab, Daniele Rocchio

“…These findings offer a reliable, interpretable, and accessible approach to predicting shear strength in UHPC beams, contributing to safer structural engineering practices.…”
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Channelized metasomatism in Archean cratonic roots as a mechanism of lithospheric refertilization by Eric A. Roots, Graham J. Hill, Ben M. Frieman, Richard S. Smith, James A. Craven, David B. Snyder, Andrew J. Calvert

“…Here we show the results of a 3D anisotropic inversion to image the lithospheric resistivity structure of the western Superior Craton. The resistivity model reveals widespread (500×300 km2) anisotropy with a north-south conductive axis at depths ~100–200 km, inferred to represent phlogopite-bearing channels emplaced during mantle plume activity. …”
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Deep Learning and Image Generator Health Tabular Data (IGHT) for Predicting Overall Survival in Patients With Colorectal Cancer: Retrospective Study by Seo Hyun Oh, Youngho Lee, Jeong-Heum Baek, Woongsang Sunwoo

“…Image generator for health tabular data (IGHT) transform tabular electronic medical record (EMR) data into structured 2D image matrices, enabling the use of powerful computer vision–based deep learning models. …”
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