Deep learning-driven 3D marine nitrate estimation: uncertainty mitigation through underwater signal exploitation and label augmentation by Xiang Yu, Guodong Fan, Jinjiang Li

“…Quantitative evaluations using BGC-Argo and cruise measurement data demonstrate notable improvements in spatial and temporal generalization, with RMSE reductions of approximately 15% and 28%, respectively, particularly in under-sampled areas and complex upper ocean regions. …”
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Understanding the Impact of Street Environments on Traffic Crash Risk from the Perspective of Aging People: An Interpretable Machine Learning Approach by Ketong Shen, Jian Liu, Xintao Liu

“…Specifically, we use segmented street view images to train models that predict crash risk levels based on normalized crash frequencies, with separate models developed for older and non-older populations. …”
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Research Progress on Ambient Visual Information Analysis and Perception Measurement Methods for Motion Vision by Haipeng ZHU, Yuhang KONG, (JPN) OHNO Ryuzo

“…By integrating objective physical environment analysis with subjective perception evaluation, the research proposes a unified framework to explore the mechanisms linking built environments with spatial cognition, and predicts future research directions.MethodsThis research employs a comprehensive review methodology to examine the mechanisms of dynamic visual perception in urban public spaces. …”
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Planning and layout of tourism and leisure facilities based on POI big data and machine learning. by Shifeng Wu, Jiangyun Wang, Yinuo Jia, Jintian Yang, Jixiu Li

“…The spatial arrangement of tourism cities and the strategic placement of tourism and leisure facilities are pivotal to the development of smart tourism cities. …”
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Development of a Comprehensive Approach to Quality Control of Dermorphin Derivative—Representative of Synthetic Opioid Peptides with Non-Narcotic Type of Analgesia by Vasilisa A. Sukhanova, Elena V. Uspenskaya, Safdari Ainaz, Hoang Thi Ngoc Quynh, Aleksey A. Timofeev

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A method integrating a non-stationary random field for constrained inversion of CSAMT data by Qianwei DAI, Luyao GUO, Yun WU, Zhexian XIONG, Dan DUAN, Zhonglin BAO, Hongfei WU, Fengyun HAO

“…Accordingly, this study developed a model covariance matrix meeting the non-stationary assumption. …”
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MC-ASFF-ShipYOLO: Improved Algorithm for Small-Target and Multi-Scale Ship Detection for Synthetic Aperture Radar (SAR) Images by Yubin Xu, Haiyan Pan, Lingqun Wang, Ran Zou

“…Furthermore, comparative experiments show that our method outperforms mainstream models. Even under high-confidence thresholds, MC-ASFF-ShipYOLO is capable of predicting more high-quality detection boxes, offering a valuable solution for advancing SAR ship detection technology.…”
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Unraveling the spatiotemporal dynamics and drivers of surface and tropospheric ozone in China by Shuai Yin, Chong Shi, Husi Letu, Zhijun Jin, Qingnan Chu, Huazhe Shang, Dabin Ji, Meng Guo, Kunpeng Yi, Xin Zhao, Tangzhe Nie, Zhongyi Sun

“…The meteorology correction model indicates that the downward trend is primarily attributed to the implementation of effective control plans (the Three-Year Action Plan for Cleaner Air) and the reduction of anthropogenic emissions. …”
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Estimation of Strawberry Canopy Volume in Unmanned Aerial Vehicle RGB Imagery Using an Object Detection-Based Convolutional Neural Network by Min-Seok Gang, Thanyachanok Sutthanonkul, Won Suk Lee, Shiyu Liu, Hak-Jin Kim

“…Therefore, this study evaluated the spatial variability of strawberry canopy volumes using a ResNet50V2-based convolutional neural network (CNN) model trained with RGB images acquired through manual unmanned aerial vehicle (UAV) flights equipped with a digital color camera. …”
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Uncertainties in the effects of organic aerosol coatings on polycyclic aromatic hydrocarbon concentrations and their estimated health effects by S. Lou, S. Lou, S. Lou, M. Shrivastava, A. Albinet, S. Tomaz, S. Tomaz, D. Srivastava, D. Srivastava, O. Favez, H. Shen, A. Ding, A. Ding, A. Ding

“…<p>We used the CAM5 model to examine how different particle-bound polycyclic aromatic hydrocarbon (PAH) degradation approaches affect the spatial distribution of benzo(a)pyrene (BaP). …”
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Analysis of The State of The Tourism Industry in Russia аnd The Direction of Its Development by P. G. Nikolenko, A. M. Terekhov

“…Based on the Box–Jenkins methodology, predictive models were created and medium-term forecasts were calculated for variables characterizing the number of tourist firms and the number of sanatorium-resort organizations and recreation organizations. …”
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Can Separation Enhance Fusion? An Efficient Framework for Target Detection in Multimodal Remote Sensing Imagery by Yong Wang, Jiexuan Jia, Rui Liu, Qiusheng Cao, Jie Feng, Danping Li, Lei Wang

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Dietary inflammation: a potential driver of atopic dermatitis?–Evidence from KNHANES 2017–2023 by Kaiyue Tan, Nanren Sun, Dongyang Wang, Jiaojiao Chen, Jiaqi Long, Junbin Zhang

“…Although the Dietary Inflammatory Index (DII), a tool to quantify the inflammatory potential of diet, has made breakthroughs in the study of chronic inflammatory diseases, large-scale cross-sectional evidence for its association with AD is still lacking.MethodsBased on large-scale population-based cross-sectional data from Korean National Health and Nutrition Examination Survey(KNHANES)2017-2023, the association between DII quartiles and AD risk was analysed using weighted multivariate logistic regression, with adjusted odds ratios (aORs) and 95% CIs calculated, stratified by sex (male/female) and age (≤54 vs &gt;54); interactions were assessed by the Wald test, and the association between dietary index and risk was assessed using the Restricted cubic spline(RCS) models (with nodes set at the 10th, 50th, and 90th percentiles of DII) were used to explore non-linear associations, with models adjusted for covariates such as sex, age, and education.ResultsHigher DII scores showed a significant association with AD prevalence. …”
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Interactive relationship between carbon flow and economic growth and influencing factors based on land use transition by ZHANG Changren, HAN Zenglin, ZHAO Yuqing, YAN Xiaolu

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Prognostic and therapeutic potential of disulfidptosis-related genes in colon adenocarcinoma: a comprehensive multi-omics study by Ye Song, Haoran Zhu, Junyang Wei, Shanxue Yin

“…Conclusion The DRG-based prognostic model demonstrated strong predictive power in COAD, highlighting the potential of DRGs as therapeutic targets. …”
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Spatiotemporal mapping of major trauma in Victoria, Australia. by Ben Beck, Andrew Zammit-Mangion, Richard Fry, Karen Smith, Belinda Gabbe

“…<h4>Background</h4>Spatiotemporal modelling techniques allow one to predict injury across time and space. …”
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Embedded Rough-Neck Helmholtz Resonator Low-Frequency Acoustic Attenuator by Xianming Sun, Tao Yu, Lipeng Wang, Yunshu Lu, Changzheng Chen

“…To achieve low-frequency absorption within a limited spatial volume, this study proposes an embedded Helmholtz resonator featuring a roughened neck and establishes a numerical computational model that incorporates thermos viscous effects. …”
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Maintaining a cognitive map in darkness: the need to fuse boundary knowledge with path integration. by Allen Cheung, David Ball, Michael Milford, Gordon Wyeth, Janet Wiles

“…The model replicates published experimental results on place field and grid field stability without vision, and makes testable predictions including place field splitting and grid field rescaling if the true arena geometry differs from the acquired boundary map. …”
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Beyond traditional methods: Innovative integration of LISS IV and Sentinel 2A imagery for unparalleled insight into Himalayan ibex habitat suitability. by Ritam Dutta, Lalit Kumar Sharma, Bheem Dutt Joshi, Vineet Kumar, Amira Sharief, Saurav Bhattacharjee, Mukesh Thakur, Dhriti Banerjee, Rajappa Babu

“…We used LISS IV and Sentinel 2A data to address both spectral and spatial issues. Furthermore, we integrated the LISS IV data with the Sentinel 2A data, considering their individual geometric information. …”
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CINet: A Constraint- and Interaction-Based Network for Remote Sensing Change Detection by Geng Wei, Bingxian Shi, Cheng Wang, Junbo Wang, Xiaolin Zhu

“…Remote sensing change detection (RSCD), which utilizes dual-temporal images to predict change locations, plays an essential role in long-term Earth observation missions. …”
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