RSA-PT: A Point Transformer-Based Semantic Segmentation Network for Uninterrupted Operation in a Distribution Network Scene by Deyu Nie, Linong Wang, Shaocheng Wu, Zhenyang Chen, Yongwen Li, Bin Song

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Neighbourhood exposure to fast-food and sit-down restaurants and estimated 24-hour urinary sodium excretion: a cross-sectional analysis of urban adults from the ORISCAV-LUX 2 study by Marion Tharrey, Olivier Klein, Torsten Bohn, Dmitry Bulaev, Juliette Van Beek, Laurent Malisoux, Camille Perchoux

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Maize crop residue cover mapping using Sentinel-2 MSI data and random forest algorithms by Jia Du, Pierre-Andre Jacinthe, Kaishan Song, Longlong Zhang, Boyu Zhao, Hua Liu, Yan Wang, Weijian Zhang, Zhi Zheng, Weilin Yu, Yiwei Zhang, Dapeng Jiang

“…Regional distribution of MRC in the Jilin Province, estimated using the RF prediction model, was higher in the central and southeast sections than in the northwest. …”
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Surface temperature change amplifies social inequality in heat exposure? Evidence from Shanghai, China by Peng Zeng, Cheng Chen, Fengyun Sun, Yaoyi Liu, Xinyu Zhang, Yue Che

“…We employed a boosted regression tree model to quantify LST changes, offering better predictive performance than traditional linear regression, and used geographically weighted regression with data from China's sixth population census to assess the city-wide and local scale inequality differences in exposure to LST changes and summer LST. …”
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Management Diversification Increases Habitat Availability for Lepidoptera Papilionoidea in the Torretes Biological Station (Spain) by Javier Quinto, Elena Espín, Eduardo Galante

“…These projects should promote spatial heterogeneity, include programs to enrich plant diversity, and be complemented by environmental education and outreach initiatives.…”
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Soil erosion monitoring based on cloud computing platform by Rahman Fahmi Arief, Hidayat Nita Lusy Yanti, Supriyadi Slamet, Adiputra Agung

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Having another baby on the move? Geographical variation in the determinants of migrant women’s fertility intentions for another child among Chinese cities by Hengyu Gu, Yuhao Lin

“…Supported by a nationwide survey for Chinese migrants, this study constructs a comprehensive framework that includes indicators of individual characteristics, family status, economic opportunities, and sociocultural conditions and employs a multiscale geographically weighted regression (MGWR) model to explore the spatial characteristics of migrant women’s fertility intentions for another child in urban China. …”
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Deep learning-based screening for locomotive syndrome using single-camera walking video: Development and validation study. by Junichi Kushioka, Satoru Tada, Noriko Takemura, Taku Fujimoto, Hajime Nagahara, Masahiko Onoe, Keiko Yamada, Rodrigo Navarro-Ramirez, Takenori Oda, Hideki Mochizuki, Ken Nakata, Seiji Okada, Yu Moriguchi

“…To address this, we introduced a Deep Learning (DL)-based computer vision model that employs OpenPose for pose estimation and MS-G3D for spatial-temporal graph analysis. …”
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Congenital heart disease: epidemiological profile of live births, geographical distribution and temporal trends in Brazil from 2012 to 2022 by Gustavo Henrique Bernardo Cabral, João Victor Nascimento Guerra, Kevin Uchoa Pedrosa, Paloma Luna Maranhão Conrado, Jorge Henrique de Aguiar Fonseca, Valda Lúcia Moreira Luna, Pauliana Valéria Machado Galvão, George Alessandro Maranhão Conrado

“…The Prais-Winsten generalized linear regression model was applied modelling on the basis of annual prevalence. …”
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Joint Intensity and Spatio-Temporal Representation Learning for Extreme Precipitation Nowcasting by Zefeng Pan, Renlong Hang, Qingshan Liu, Chunxiang Shi, Zhiqiang Xu, Xiao-Tong Yuan

“…However, the existing methods tend to inadequately weigh precipitation intensity features by only implicitly learning and modeling these features within the spatial distribution. …”
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Exciton funneling in 2D artificial potential landscapes decorated by reassembled micro-bubbles by Wenqi Qian, Haiyi Liu, Guangyi Tao, Fangxun Liu, Sihan Lin, Tengteng Gao, Xueying Wang, Qihong Hu, Dalin Zhang, Dong Xiang, Lie Lin, Pengfei Qi, Zheyu Fang, Weiwei Liu

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A Novel Dual-Stream Attention-Based Hybrid Network for Solar Power Forecasting by Rafiq Asghar, Michele Quercio, Lorenzo Sabino, Assia Mahrouch, Francesco Riganti Fulginei

“…Subsequently, the predictive accuracy of the developed model is compared with three single and five hybrid deep learning models. …”
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Synergistic Semantic Segmentation and Height Estimation for Monocular Remote Sensing Images via Cross-Task Interaction by Xuanang Peng, Shixin Wang, Futao Wang, Jinfeng Zhu, Suju Li, Longfei Liu, Zhenqing Wang

“…However, due to factors such as complex semantic categories and the inconsistent spatial scales of remotely sensed images, existing multi-task learning methods often fail to achieve better results on these two tasks. …”
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Geochemical Influences on Carbon Nanotubes Transport in Subsurface Environments: Integrating Millifluidics, Spectral Induced Polarization, and Machine Learning by Yixin Yang, Pengfei Liu, Kexin Chen, Sheng Zhou, Longlong Meng, Chi Zhang, Junnan Cao, Bate Bate

“…SIP detected real‐time retention by chargeability (R2 = 0.82–0.96), while a DNN decoded SIP signals to predict spatially resolved CNT deposition (R2 = 0.926), outperforming phenomenological Cole‐Cole modeling. …”
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A Novel Monitoring Method of Wind-Induced Vibration and Stability of Long-Span Bridges Based on Permanent Scatterer Interferometric Synthetic Aperture Radar Technology by Jiayue Ma, Xiaojun Xue, Guoliang Zhi, Haoyang Zheng, Hanqing Zhu

“…Experimental results demonstrate that this method offers precise, real-time monitoring of wind-resistant stability. By leveraging the spatial accuracy and long-term monitoring capability of PS-InSAR, along with the time-series forecasting strength of ARMA models, the method enables data-driven analysis of bridge vibrations. …”
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Classification of benign and malignant solid breast lesions on the ultrasound images based on the textural features: the importance of the perifocal lesion area by А.А. Kolchev, D.V. Pasynkov, I.A. Egoshin, I.V. Kliouchkin, О.О. Pasynkova

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The effects of seasonal human mobility and Aedes aegypti habitat suitability on Zika virus epidemic severity in Colombia. by Brandon Lieberthal, Brian Allan, Sandra De Urioste-Stone, Andrew Mackay, Aiman Soliman, Shaowen Wang, Allison M Gardner

“…Our research uses the novel approach of combining geographical modeling of mosquito presence with network modeling of human mobility to offer a comprehensive simulation environment for Zika virus epidemics that considers a substantial number of spatial and temporal factors compared to the literature. …”
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DTCMMA: Efficient Wind-Power Forecasting Based on Dimensional Transformation Combined with Multidimensional and Multiscale Convolutional Attention Mechanism by Wenhan Song, Enguang Zuo, Junyu Zhu, Chen Chen, Cheng Chen, Ziwei Yan, Xiaoyi Lv

“…Experiments on multiple wind-farm datasets and energy-related datasets demonstrate that DTCMMA outperforms mainstream methods such as Transformer, iTransformer, and TimeMixer in long-sequence forecasting tasks, achieving improvements in MSE performance by 34.22%, 2.57%, and 0.51%, respectively. The model’s training speed also surpasses that of the fastest baseline by 300%, significantly improving both prediction accuracy and computational efficiency. …”
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Spatiotemporal Dynamics and Driving Mechanisms of Ecosystem Services in the Beijing–Tianjin–Hebei Urban Agglomeration: Implications for Sustainable Land Use Planning by Shuanqging Sheng, Jinchuan Huang

“…This study unveils the spatial heterogeneity of ecosystem services and their driving mechanisms in the context of urbanization, offering valuable insights to inform regional ecological conservation and sustainable development policies.…”
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Computational principles of neural adaptation for binaural signal integration. by Timo Oess, Marc O Ernst, Heiko Neumann

“…The circuit incorporates an adaptation mechanism operating at the synaptic level based on local inhibitory feedback signals. The model's predictive power is demonstrated in various simulations replicating physiological data. …”
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