Case Study and Numerical Simulation of Excavation beneath Existing Buildings by Hua-feng Shan, Shao-heng He, Yu-hua Lu, Wei-jian Jiang

“…Compared with the clockwise pile cutting sequence, the symmetrical pile cutting is more advantageous. In the whole process of the storey adding and reconstruction, the superstructure settlement is related to the working condition of digging and adding layers. …”
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The impact of livelihood capital on the social integration of relocated households: mediating effects based on livelihood risk by Chuangxin Zhao, Manping Tang, Changxiang Wang

“…Based on the sustainable livelihoods framework, the Ordinary Least Squares (OLS) model, quantile regression model, and mediation analysis are used to investigate the relationships between livelihood capital, livelihood risk, and the social integration of relocated households, using 610 survey responses from relocated poverty alleviation households in China collected in 2024. …”
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Context Aware Task Orchestration With Deep Reinforcement Learning in Real Time Fog Computing Simulation Environment by Alp Gokhan Hossucu, Suat Ozdemir

“…A comprehensive multi-layered cloud simulation model that intricately considers both low-level edge/fog and cloud environment constraints is proposed. …”
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Geological Characteristics and Targets of High Scientific Interest in the Zhurong Landing Region on Mars by Jiannan Zhao, Zijun Xiao, Jun Huang, James W. Head, Jiang Wang, Yutong Shi, Bo Wu, Le Wang

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Uncovering codon usage patterns during murine embryogenesis and tissue-specific developmental diseases by Sarah E. Fumagalli, Sean Smith, Brian Lin, Rahul Paul, Collin Campbell, Luis Santana-Quintero, Anton Golikov, Juan Ibla, Haim Bar, Anton A. Komar, Anton A. Komar, Ryan C. Hunt, Michael DiCuccio, Chava Kimchi-Sarfaty

“…By improved analyses of temporal, transcriptional data from these models, we can capture unique tissue codon usage patterns and determine how deviations from these patterns can influence developmental disorders.MethodsWe analyzed transcriptomic-weighted data from four mouse strains across three different germ layer tissues (liver, heart, and eye) and through embryonic stages. …”
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An Optimization of the Analytical Method for Determining the Flexural Toppling Failure Plane by Xin Qu, Fangfang Diao

“…According to the results of the physical model tests, the failure plane of an anaclinal layered rock slope was a linear-type plane at an angle above the plane normal to the discontinuities, and the failure mode of rock strata was bending tension. …”
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Visual nutrition analysis: leveraging segmentation and regression for food nutrient estimation by Yaping Zhao, Yaping Zhao, Ping Zhu, Ping Zhu, Yizhang Jiang, Kaijian Xia, Kaijian Xia

“…Finally, the extracted features were processed through several fully connected layers to obtain predictions for the weight, calories, fat, carbohydrates, and protein content.Results and discussionOur model achieved an outstanding average percentage mean absolute error (PMAE) of 17.06% for these components. …”
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Design of a Remanufacturing Line Applying Lean Manufacturing and Supply Chain Strategies by Rosa Hilda Félix-Jácquez, Óscar Hernández-Uribe, Leonor Adriana Cárdenas-Robledo, Zaida Antonieta Mora-Alvarez

“…Five simulation scenarios were analyzed according to strategies layered incrementally. <i>Results</i>: Behaviors and outcomes were compared across the scenarios considering the remanufactured engines, percentage of process time, human labor occupation, and the statistical analysis of the process capability. …”
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Roadway roof stability grading method based on multi-index optimization by Xiaoqiang Xue, Wei Du, Jian Cui, Wenxing Zhang

“…Numerical simulation software is used to analyze the vertical stress of different types of roof layers and the vertical stress of coal pillars, and the vertical stress of coal pillars at the roof layers that are highly prone to collapse of the roof is higher than that at other roof layers, so it is necessary to strengthen the support.…”
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Nystromformer based cross-modality transformer for visible-infrared person re-identification by Ranjit Kumar Mishra, Arijit Mondal, Jimson Mathew

“…To bridge the modality gap, a cross-attention fusion block is introduced, where RGB and IR features interact and integrate second-order covariance statistics to model higher-order correlations. The fused features are subsequently refined through projection layers and optimized for re-identification using a classification head. …”
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Enhancing privacy and traceability of public health insurance claim system using blockchain technology by Andry Alamsyah, I. Putu Sadhu Setiawan

“…The logical architecture employs Business Process Model and Notation (BPMN) diagrams to depict the revised process flow and data movement, while also incorporating a layered design concept. …”
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Integrated net pay cut-off evaluation workflow for tight sandstone reservoirs: a case study of the Linxing gas field, Ordos Basin by Li Li, Li Li, Jie Yu, Jie Yu, Tao Huang, Tao Huang, Lina Tang, Lina Tang, Dan Wei, Dan Wei, Mingyu Li, Mingyu Li, Xin Nie

“…Net pay detection is a crucial stage in reservoir characterization, serving various purposes such as reserve estimation, reservoir modeling, simulation, and production planning. Net pay was quantified through the use of petrophysical cut-offs. …”
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The ZiCOS-M CO₂ sensor network: measurement performance and CO₂ variability across Zurich by S. K. Grange, S. K. Grange, S. K. Grange, P. Rubli, A. Fischer, D. Brunner, C. Hueglin, L. Emmenegger

“…Some of the highest <span class="inline-formula">CO₂</span> levels were found at two sites exposed to strong plant respiration in a very confined nocturnal boundary layer. High-<span class="inline-formula">CO₂</span> episodes were detected outside Zurich's urban area, demonstrating that processes acting on a variety of scales drove <span class="inline-formula">CO₂</span> levels. …”
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A method for detecting the rate of tobacco leaf loosening in tobacco leaf sorting scenarios by Yansong Wang, Yansong Wang, Chunjie Zhang, Chunjie Zhang, Mingjie Wu, Mingjie Wu, Ruilin Luo, Lin Lu, Zaiqing Chen, Zaiqing Chen, Lijun Yun, Lijun Yun

“…Additionally, a loss function with a monotonic focusing mechanism was introduced to increase the model’s learning capacity for difficult samples, resulting in a YOLO-TobaccoStem model more suitable for detecting tobacco stem objects. …”
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Artificial intelligence of things for sustainable smart city brain and digital twin systems: Pioneering Environmental synergies between real-time management and predictive planning by Simon Elias Bibri, Jeffrey Huang

“…To the best of our knowledge, research on the explicit fusion of UB's real-time analytics—enabled through stream processing—with UDT's predictive analytics—driven by simulation modeling—is scant, if not absent. …”
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Molecular Dynamics Study on the Lubrication Mechanism of the Phytic Acid/Copper Interface Under Loading Condition by Min Guan, Dong Xie, Xiaoting Wang, Fengjuan Jing, Feng Wen, Yongxiang Leng

“…Molecular dynamics (MD) simulations were employed to model the behavior of compression and the confined shear process. …”
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DFL: Dynamic Federated Split Learning in Heterogeneous IoT by Eric Samikwa, Antonio Di Maio, Torsten Braun

“…Secondly, the heterogeneous computing and communication resources in IoT devices often result in unstable training processes that slow down the training of a global model and affect energy consumption. …”
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Bond-Slip Behavior between Plastic Bellow and Concrete by Eryu Zhu, Teng Li, Haoran Liu, Chunqi Zhu, Lei Liu, Yuanyuan Tian, Yujie Li, Wei Yang

“…Based on the test data, a bond-slip constitutive relationship model was established, which accurately reflects the bond-slip process. …”
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The art of deception: The trade-off between the information distortion and perception of FDI location attractiveness by Katarzyna Mroczek-Dąbrowska, Dawid Cherubin, Aleksandra Kania

“…Implications & Recommendations: Our model suggests that the factors influencing FDI location perceptions create a dynamic, interconnected network of several interdependent layers that make FDI location selection challenging. …”
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The Use of Neural Networks in the Diagnosis of Heart Failure Via the Analysis of Medical Data by Valentino Blanco, Aitana Iglesias

“…The findings demonstrate that the neural network model, characterized by a multi-layered perceptron architecture, achieved a classification accuracy of 89.9% when applied to the test dataset. …”
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