Meta-Learning Approach for Adaptive Anomaly Detection from Multi-Scenario Video Surveillance by Deepak Kumar Singh, Dibakar Raj Pant, Ganesh Gautam, Bhanu Shrestha

“…Leveraging the swin transformer as a spatial feature extractor, the model captures rich hierarchical representations from surveillance videos. …”
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Future Precipitation Projection Based on Multiple Statistical Downscaling Methods — A Case Study of Tibetan Plateau by DONG Qianjin, YUAN Xin

“…Although the Coupled Model Intercomparison Project 6 (CMIP6) can well predict large-scale climatic factors,its effect on projecting watershed scales is still different from the measured data.The error of climate models is even bigger over the Tibetan Plateau,which is a high-altitude region with complicated terrain.Based on the historical scenario of the latest generation of high-resolution CMIP6 model and a variety of future climate emission scenarios such as SSP126,SSP245,SSP370,and SSP585,this paper conducts downscaling analysis and evaluates the projection performance of various statistical downscaling methods such as bias correction,KNN,and SDSM.On this basis,the best statistical downscaling method is used to project future precipitation over the Tibetan Plateau, and the spatial-temporal evolution characteristics of the projected precipitation are analyzed and compared with the historical precipitation over the Tibetan Plateau.The results reveal that the applicability amongst the three statistical downscaling methods in the Tibetan Plateau is large,with the linear regression downscaling method performing the best,followed by the bias correction method and the KNN analogy method.According to the analysis of future precipitation projections,the average precipitation and extreme precipitation over the Tibetan Plateau in the next 80 years will exhibit an overall upward trend,although the rise will be slight,and the spatial distribution will not change much.The results can provide a scientific foundation for the evaluation,planning,and management of water resources on the Tibetan Plateau.…”
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Pancreas segmentation using AI developed on the largest CT dataset with multi-institutional validation and implications for early cancer detection by Sovanlal Mukherjee, Ajith Antony, Nandakumar G. Patnam, Kamaxi H. Trivedi, Aashna Karbhari, Madhu Nagaraj, Murlidhar Murlidhar, Ajit H. Goenka

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How Long Until Agricultural Carbon Peaks in the Three Gorges Reservoir? Insights from 18 Districts and Counties by Danqing Li, Yunqi Wang, Huifang Liu, Cheng Li, Jinhua Cheng, Xiaoming Zhang, Peng Li, Lintao Wang, Renfang Chang

“…Pathway scenario prediction: We construct three developmental scenarios (low-carbon transition, business-as-usual, and high-resource dependency) integrated with regional planning parameters. …”
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Physical activity in the relationship between multiple air pollutants exposure and risk of hypertension: a prospective cohort study in China by Yuquan Chen, Yanwei You, Jiarong He, Yuechuan Zhang, Qi Zhang, Fan Yang, Mingming Zhang

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The risk of a mosquito-borne infection in a heterogeneous environment. by David L Smith, Jonathan Dushoff, F Ellis McKenzie

“…These models predict that the human biting rate is highest shortly after the mosquito densities peak, near breeding sites where adult mosquitoes emerge, and around the edges of areas where humans are aggregated. …”
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Changes in habitat suitability for wintering dabbling ducks during dry conditions in the Central Valley of California by Erin E. Conlisk, Kristin B. Byrd, Elliott Matchett, Austen A. Lorenz, Michael Casazza, Gregory H. Golet, Mark D. Reynolds, Kristin A. Sesser, Matthew E. Reiter

“…Overall, species distribution models created using data on the environmental conditions present at the time of bird observations can aid conservation efforts under extreme conditions over large spatial scales.…”
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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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Increased Phosphorus Losses in the Food System in China and Region‐Specific Mitigation Strategies to Ensure Losses Below Safe Limits by Jichen Zhou, Wim deVries, Lin Ma, Xiaoqiang Jiao, Kai Zhang, Yang Lyu, Zed Rengel, Fusuo Zhang, Jianbo Shen

“…Here, we examined the trends and driving factors of (a) P losses from the food chain in 31 provinces in China over the period 1980–2016 and (b) predicted 2030 losses under different scenarios using the NUFER model and the Geographical Detector model. …”
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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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ESLC-YOLOv8: Advancing real-time pineapple recognition with lightweight deep learning by Weihua Shen, Mengyao Dong, Zhaoxin Zhang, Xiaying Hao, Yuzhen Su, Zhong Xue

“…First, we propose the EIEStem module to enhance the backbone network's convolutional layers, significantly improving edge feature extraction and spatial information preservation. Second, we introduce the v7DS (YOLOv7 DownSample) module to replace conventional downsampling operators, effectively minimizing feature information loss during resolution reduction. …”
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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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