Damage Assessment of Low-Velocity Impacted Sandwich Composite Structures Using X-Ray Micro-Computed Tomography by Tendai Chipanga, Ouassini Nemraoui, Fareed Ismail

“…These findings can be instrumental in developing a predictive impact damage model.…”
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Exploring the determinants of thyroid disorders in high-altitude western Himalaya: a geospatial and epidemiological study by Arshad Ahmed, Kheraj, Alireza Mohammadi, Robert Bergquist

“…Geographic information systems were utilized to map the spatial distribution of thyroid disorder prevalence, and the model’s predictive accuracy was validated using receiver operating characteristic (ROC). …”
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Causality-Driven Feature Selection for Calibrating Low-Cost Airborne Particulate Sensors Using Machine Learning by Vinu Sooriyaarachchi, David J. Lary, Lakitha O. H. Wijeratne, John Waczak

“…Similarly, for the <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msub><mi>PM</mi><mrow><mn>2.5</mn></mrow></msub></mrow></semantics></math></inline-formula> model, the proposed feature selection led to a 33.2% reduction in the mean squared error, outperforming the 30.2% reduction achieved by the SHAP value-based selection. …”
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Implications of Self-Potential Distribution for Groundwater Flow System in a Nonvolcanic Mountain Slope by Tada-nori Goto, Kazuya Kondo, Rina Ito, Keisuke Esaki, Yasuo Oouchi, Yutaka Abe, Maki Tsujimura

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Integrating Machine Learning, SHAP Interpretability, and Deep Learning Approaches in the Study of Environmental and Economic Factors: A Case Study of Residential Segregation in Las... by Jingyi Liu, Yuxuan Cai, Xiwei Shen

“…Over the past two decades, research on residential segregation and environmental justice has evolved from spatial assimilation models to include class theory and social stratification. …”
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Stochastic Portfolio Planning for Virtual Power Plants Using Stratified Sampling by Dosung Kim, Sung-Kwan Joo

“…Forecast errors are further modeled using a copula-based approach that captures spatial and temporal correlations. …”
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Georgia on Their Minds: Rethinking the Role of Geographic Scale in U.S. Elections by John Agnew, Michael Shin

“…Results from the 2022 Georgia senate runoff election between Raphael Warnock and Herschel Walker are examined with exploratory spatial data analysis (ESDA) and multi-level regression modeling (MLM) to illustrate how a more complete conception of geographic scale is implicated in electoral outcomes.…”
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Features of Conceptualization of Wine Drinking Situation in the Works of N. S. Leskov by O. A. Dimitrieva

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Construction and Preliminary Validation of the Children's Academic Readiness Test to Enter Primary School in Afghanistan Country by Mohammad Naeem Rasooli, Ahmad Abedi, Mohammad Ashori

“…All the general model evaluation indices, in line with the predetermined desirable values, suggest the adequacy of the factorial model for the components of numerical reasoning, attention and memory, picture completion, quantitative reasoning, retrieval, associative recall, sentence repetition and counting, visual-spatial reasoning, problem-solving (connecting dots game), and visual-motor skills. …”
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Identification and Spatiotemporal Characteristic Analysis of Compound Weather and Climate Extremes for Maize in Different Climate Zones of the Songliao Plain by Ziyuan Zhou, Ying Guo, Dan Chen, Kaiwei Li, Rui Wang, Xiao Wei, Jiquan Zhang, Chunli Zhao, Zhijun Tong, Xingpeng Liu

“…Abstract Due to global climate anomalies, the intensity and spatial extent of weather and climate extremes have increased notably. …”
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Decision-Aid Framework for Face Authentication Detection Using ResNext50 and BiLSTM to Enhance Media Integrity by Ayat Abd-Muti Alrawahneh, Siti Norul Huda Sheikh Abdullah, Tarik Abuain, Sharifah Nurul Asyikin Syed Abdullah, Sarah Khadijah Taylor, Nur Hanis Sabrina Suhaimi

“…Unlike conventional approaches focusing solely on spatial features, the proposed hybrid model incorporates temporal analysis, enabling the detection of subtle manipulations distributed across sequential video frames. …”
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Discomfort glare from daylight in classrooms by Raquel Viula

“…A study is then carried out to investigate how can more appropriate predictive models of discomfort glare be developed, based on three different methods. …”
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An efficient hybrid downscaling framework to estimate high-resolution river hydrodynamics by Z. Tan, D. Xu, S. Taraphdar, J. Ma, G. Bisht, L. R. Leung

“…Here, using the hybrid Low-fidelity, Spatial analysis, and Gaussian process learning (LSG) model, we developed a downscaling approach to construct high-resolution flow depth and velocity from a two-dimensional (2-D) RHM simulation at coarse resolution. …”
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Convolutional Neural Network-Based Risk Assessment of Regional Susceptibility to Road Collapse Disasters: A Case Study in Guangxi by Cheng Li, Zhixiang Lu, Yulong Hu, Ziqi Ding, Yuefeng Lu, Chuanzhi Han

“…This model predicts and maps the spatial distribution of collapse risk across Guangxi. …”
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Attention-based multi-scale convolution and conformer for EEG-based depression detection by Ze Yan, Ze Yan, Ze Yan, Yumei Wan, Xin Pu, Xiaolin Han, Mingming Zhao, Haiyan Wu, Wentao Li, Xueying He, Yunshao Zheng

“…The AMPC module captures temporal features through multiscale convolutions and extracts spatial features using depthwise separable convolutions, while applying the ECA attention mechanism to weigh key channels, enhancing the model’s focus on crucial electrode channels. …”
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Mitofilin–mtDNA Axis Mediates Chronic Lead Exposure-Induced Synaptic Plasticity Impairment of Hippocampal and Cognitive Deficits by Lihong Su, Jinchao Hou, Boxuan Wang, Yuqi Li, Xiaodong Huo, Tao Wang, Yuankang Zou, Gang Zheng

“…To elucidate the role and mechanism of the Mitofilin–mtDNA axis in hippocampal synaptic plasticity and learning and memory impairment induced by lead exposure, in this study, both in vivo and in vitro models were subjected to chronic lead exposure. The results showed that the spatial learning and memory abilities of lead-exposed mice were significantly reduced. …”
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A Dual-Branch Network for Intra-Class Diversity Extraction in Panchromatic and Multispectral Classification by Zihan Huang, Pengyu Tian, Hao Zhu, Pute Guo, Xiaotong Li

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RETRACTED: Simplicial Complex-Enhanced Manifold Embedding of Spatiotemporal Data for Structural Health Monitoring by Nan Xu, Zhiming Zhang, Yongming Liu

“…The key innovation of SCEME is the reduction of dimensions in both the temporal and spatial domains for efficient and information-preserving feature extraction. …”
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PIFRNet: Position Information Guided Feature Reconstruction Network for Salient Object Detection in Remote Sensing Images by Zhen Wang, Ruixiang Li, Xiaotian Wang, Nan Xu, Zhuhong You

“…Finally, the Feature Reconstruction Module restores fine-grained details and sharp boundaries in the predicted saliency maps by leveraging spatial position information. …”
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A non-stationary downscaling and gap-filling approach for GRACE/GRACE-FO data under climatic and anthropogenic influences by Seyed Mojtaba Mousavimehr, Mohammad Reza Kavianpour

“…Finally, the downscaled TWS derived from the predictive model is applied to calculate groundwater storage (GWS). …”
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