Optimum Equilibrium Passenger Flow Control Strategies with Delay Penalty Functions under Oversaturated Condition on Urban Rail Transit by Yonghao Yin, Dewei Li, Kai Zhao, Ruixia Yang

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Prognostic Value of Deep Learning‐Extracted Tumor‐Infiltrating Lymphocytes in Esophageal Cancer: A Multicenter Retrospective Cohort Study by Peishen Li, Shujie Huang, Haijie Xu, Zijie Li, Sichao Wang, Zhen Gao, Yuejiao Dong, Zhuofeng Chen, Guibin Qiao, Hansheng Wu, Liangli Hong

“…Further studies should focus on the lymphocyte subgroups and make better use of the spatial information to improve the predictive efficacy of TILs.…”
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Prevalence and factors associated with unintended pregnancy among women in Ghana by Augustus Osborne, Florence Gyembuzie Wongnaah, Khadijat Adeleye, Camilla Bangura, Richard Gyan Aboagye, Bright Opoku Ahinkorah

“…Regional variations in the prevalence of unintended pregnancy were presented using a spatial map. A mixed-effect multilevel binary logistic regression models were fitted to examine the factors associated with unintended pregnancy using a four-modelled approach. …”
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Advancing landscape characterisation: A comparative study of machine learning and manual classification methods by Tingting Huang, Geoffrey Griffiths, Bo Huang, Jianning Zhu, Steven Warnock, Martin Lukac

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Identifying hotspots and risk factors for tick-borne encephalitis virus emergence at its range margins to guide interventions, Great Britain by Bethan V Purse

“…We overlayed modelled suitability for TBEV exposure across GB with estimations on number of visitors to predict areas of high human exposure risk. …”
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Bathymetry-guided multi-source remote sensing image domain adaptive coral reef benthic habitat classification by Hui Chen, Liang Cheng, Ka Zhang

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Assessing cross cultural urban park emotional wellbeing impact in Shanghai and London by Zijuan Zhao, Qingying He, Yaqiong Zhang, Sidi liu, Ying Yang

“…A LightGBM regression model was used to explore the nonlinear relationships between park environments and positive emotions, while a Multiscale Geographically Weighted Regression (MGWR) model was constructed to reveal spatial heterogeneity and its underlying causes. …”
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Investigating the closures of sea level budgets in China’s adjacent seas by Yang Li, Jinyun Guo, Yu Sun, Jiangcun Zhou, Heping Sun

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Demographic, socioeconomic and regional disparities in the coverage of water, sanitation and hygiene facilities in four South Asian Countries. by Md Hasibul Islam Jitu, Mohammad Shahed Masud

“…Data analysis was done using descriptive statistics and multivariate logistic regression model. Besides, spatial mapping was used for regional comparison, the Generalized Variance Inflation Factor (GVIF) was applied for checking multicollinearity, and the Receiver Operating Characteristic (ROC) curve was used to evaluate model performance.…”
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An Inverted Residual Cross Head Knowledge Distillation Network for Remote Sensing Scene Image Classification by Cuiping Shi, Mengxiang Ding, Liguo Wang

“…Moreover, in traditional knowledge distillation methods, conflicts sometimes arise between teacher predictions and true labels, which hinder the training of the model. …”
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Are blood flow and blood volume predictors of localized photosensitizer accumulation in the brain? by Tina Saeidi, Warren D. Foltz, W. Jeffrey Zabel, Michael.J. Daly, I. Alex Vitkin, Margarete K. Akens, Lothar Lilge

“…Conclusion: These findings highlight that MR perfusion metrics alone are insufficient to predict spatial [PS] in solid brain tumours for PDT pre-treatment planning.…”
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Integration of retinal and extraretinal information across eye movements. by Florian Ostendorf, Raymond J Dolan

“…For successful integration into a coherent representation, the visuomotor system needs to deal with these self-induced perceptual changes and distinguish them from external motion. Forward models are one way to solve this problem where the brain uses internal monitoring signals associated with oculomotor commands to predict the visual consequences of corresponding eye movements during active exploration. …”
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A novel anomaly detection method for multimodal WSN data flow via a dynamic graph neural network by Qinghao Zhang, Miao Ye, Xiaofang Deng

“…First, the temporal features and modal correlation features extracted from each sensor node are fused into one vector representation, then it is further aggregated with the spatial features represented the spatial position relationship of the nodes; finally,the current time-series data of WSN nodes are predicted, and abnormal states are identified according to the fusion features. …”
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Inonotus obliquus (chaga) ameliorates folic acid-induced renal fibrosis in mice: the crosstalk analysis among PT cells, macrophages and T cells based on single-cell sequencing by Yueling Peng, Yaling Zhang, Yaling Zhang, Rui Wang, Xinyu Wang, Xingwei Liu, Hui Liao, Rongshan Li

“…We used single-cell RNA sequencing to study cellular responses in a mouse model of folic acid-induced renal fibrosis, complemented by spatial transcriptomics to map cellular location patterns. …”
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Enhancing monitoring of rewilding progress through wildlife tracking and remote sensing. by Julia Carolina Mata, Robert Buitenwerf, Jens-Christian Svenning

“…The majority of areas (76%) predicted to be occupied by reintroduced fauna were only predicted to be selected by one species. …”
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Spatiotemporal estimation of ambient forest phytoncides: Unveiling patterns through geospatial-based machine learning approach by Aji Kusumaning Asri, Hao-Ting Chang, Chia-Pin Yu, Wan-Yu Liu, Yinq-Rong Chern, Rui-Hao Xie, Shih-Chun Candice Lung, Kai Hsien Chi, Yu-Cheng Chen, Sen-Sung Cheng, Gary Adamkiewicz, John D. Spengler, Chih-Da Wu

“…The robustness of these models was confirmed through extensive validation. …”
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Numerical simulation study of shear-seepage characteristics of fractured network under constant normal stiffness by YU Liyuan, WANG Xiaolin, YANG Hanqing, LIU Richeng, LI Shuchen

“…These insights refine predictive models for hydraulic fracturing, geothermal reservoir management, and subsurface storage under shear-dominated regimes.…”
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Preliminary results of the EPIDIA4Kids study on brain function in children: multidimensional ADHD-related symptomatology screening using multimodality biometry by Yanice Guigou, Alexandre Hennequin, Théo Marchand, Théo Marchand, Mouna Chebli, Lucie Isoline Pisella, Pascal Staccini, Pascal Staccini, Vanessa Douet Vannucci, Vanessa Douet Vannucci

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Sex differences in prevalence and risk factors of hypertension in India: Evidence from the National Family Health Survey-4. by Krishna Kumar, Sheuli Misra

“…Bivariate distribution was used to show the prevalence of hypertension and, maps were used to present its spatial patterns. Logistic regression model was used to identify sex-specific association between risk factors and hypertension. …”
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1992-2015 Changes and Causes of Carbon Sink in Shenzhen City by Wu Siyu

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