Action Recognition with 3D Residual Attention and Cross Entropy by Yuhao Ouyang, Xiangqian Li

“…Additionally, the integration of Fast Fourier Convolution (FFC) enhances the network’s capability to effectively capture temporal and spatial features. Simultaneously, we used the cross-entropy loss function to describe the difference between the predicted value and GT to guide the model’s backpropagation. …”
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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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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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Optimizing rural waste management: Leveraging high-resolution remote sensing and GIS for efficient collection and routing by Xi Cheng, Jieyu Yang, Zhiyong Han, Guozhong Shi, Deng Pan, Likang Meng, Zhuojun Zeng, Zhanfeng Shen

“…Notably, when compared to our field survey data, the optimized daily collection route in a rural context decreased from 256.40 km before optimization to 140.44 km, reflecting a substantial reduction of 45.23% in total distance. This study furnishes an effective model that relies solely on information from remote-sensing images for efficient rural waste collection and extends invaluable insights to planners and administrators in the realm of rural and township waste management.…”
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Geographic Characteristics and Meteorological Factors Dominate the Variation of Chlorophyll‐a in Lakes and Reservoirs With Higher TP Concentrations by Hanxiao Zhang, Shouliang Huo, Lian Feng, Chunzi Ma, Wenpan Li, Yong Liu, Fengchang Wu

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Evidence for preferred propagating terrestrial heatwave pathways due to Rossby wave activity by Mingzhao Wang, Yu Huang, Christian L. E. Franzke, Naiming Yuan, Zuntao Fu, Niklas Boers

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Evaluating of Four Irrigation Depths on Soil Moisture and Temperature, and Seed Cotton Yield Under Film-Mulched Drip Irrigation in Northwest China by Xianghao Hou, Wenhui Hu, Quanqi Li, Junliang Fan, Fucang Zhang

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Seasonal El Niño‐Southern Oscillation and Indian Ocean Dipole Dependencies of Methane Emissions From Wetlands by Tingting Zhu, Yanlian Zhou, Weimin Ju

“…This study underscored the pronounced temporal and spatial variability of CH4 emission anomalies under ENSO and IOD phases, which would improve the accuracy of predictive CH4 models and inform strategies for mitigating climate change.…”
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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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Effects of solar radiation modification on precipitation extremes in Southeast Asia: Insights from the GeoMIP G6 experiments by Ze-Qian Feng, Mou Leong Tan, Liew Juneng, Mari R. Tye, Li-Li Xia, Fei Zhang

“…In conclusion, SRM may effectively mitigate increases in extreme precipitation events in most of Southeast Asia, but G6solar provides a more consistent reduction, while G6sulfur shows more complex spatial responses.…”
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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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Global–Local Feature Fusion of Swin Kansformer Novel Network for Complex Scene Classification in Remote Sensing Images by Shuangxian An, Leyi Zhang, Xia Li, Guozhuang Zhang, Peizhe Li, Ke Zhao, Hua Ma, Zhiyang Lian

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Polyphase deformation and control of structural position on lineament distribution in a pop-up fault-propagation fold: Inferences from structural and lineament analysis of the Kamb... by Aijaz Ali Halepoto, Muhammad Hassan Agheem, Shabeer Ahmed, Surriya Bibi Ahmedani, Rafique Ahmed Lashari

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Exploring self-experience practices in dementia care: A scoping review. by Janina Wittmann, Anja Bieber, Joanne Carroll, Kealan Forristal, Louise Hopper, Niels Janssen, Gabriele Meyer, Marianna Riello, Marjolein de Vugt, Dorothee Bauernschmidt

“…We identified passive, interactive, immersive, and multicomponent self-experience interventions in dementia education and training. Learning outcomes based on Kirkpatrick's model were fairly distributed across all identified modalities. …”
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Plot‐level satellite imagery can substitute for UAVs in assessing maize phenotypes across multistate field trials by Nikee Shrestha, Anirudha Powadi, Jensina Davis, Timilehin T. Ayanlade, Huyu Liu, Michael C. Tross, Ramesh K. Mathivanan, Jordan Bares, Lina Lopez‐Corona, Jonathan Turkus, Lisa Coffey, Talukder Zaki Jubery, Yufeng Ge, Soumik Sarkar, James C. Schnable, Baskar Ganapathysubramanian, Patrick S. Schnable

“…This dataset and benchmarks have the potential to enable predictive models that could guide farmers and crop breeders in decision‐making. …”
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Using Random Forest to Improve the Downscaling of Global Livestock Census Data. by Gaëlle Nicolas, Timothy P Robinson, G R William Wint, Giulia Conchedda, Giuseppina Cinardi, Marius Gilbert

“…RF models consistently provided better predictions than the stratified regressions for both continents and species. …”
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Neuromorphic imaging cytometry on human blood cells by Ziyao Zhang, Haoxiang Yang, Jiayin Li, Shin Wei Chong, Jason K Eshraghian, Ken-Tye Yong, Daniele Vigolo, Helen M McGuire, Omid Kavehei

“…The proposed architecture has achieved a promising performance of 97% accuracy and F1 score with a significant reduction in computation requirements. Combining the data sparsity in neuromorphic imaging with a lightweight DL model and operation platform can enable next-generation, AI-driven cytometry to deliver point-of-care diagnostic and research solutions.…”
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Landslide and Collapse Susceptibility Analysis in Wenchuan Earthquake-damaged Area Based on Ensemble Learning Methods by DING Jiawei, WANG Xiekang

“…These models were then utilized to predict the probabilities of landslide and collapse occurrences across the designated study area. …”
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China’s cultivated land threshold from the perspective of food security by ZHAO Xiaoyu, SUN Chunqiang, CUI Rongguo, CHEN Jing, ZHANG Xiaoyu, CAO Tingyu, LI Chao

“…Furthermore, the minimum demand of China’s cultivated land in 2035 and 2050 was predicted based on the grain yield per unit cultivated area and population change. …”
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Improved estimation of forage nitrogen in alpine grassland by integrating Sentinel-2 and SIF data by Yongkang Zhang, Jinlong Gao, Dongmei Zhang, Tiangang Liang, Zhiwei Wang, Xuanfan Zhang, Zhanping Ma, Jinhuan Yang

“…Thus, integrating Sentinel-2 and SIF data presents a potential solution for precisely measuring spatial distribution of forage nitrogen in alpine grassland at the regional scale. …”
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