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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Harnessing Multi-Source Data and Deep Learning for High-Resolution Land Surface Temperature Gap-Filling Supporting Climate Change Adaptation Activities by Katja Kustura, David Conti, Matthias Sammer, Michael Riffler

“…This method not only preserves ECOSTRESS’s native resolution but also fills data gaps and enhances spatial and temporal coverage. In non-gap areas validated against ground truth ECOSTRESS data, the model achieves LST predictions with at least 80% of all pixel errors falling within a ±3 °C range. …”
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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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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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Advances in soil salinity diagnosis for mangrove swamp rice production in Guinea Bissau, West Africa by Gabriel Garbanzo, Jesus Céspedes, Marina Temudo, Maria do Rosário Cameira, Paula Paredes, Tiago Ramos

“…Silt raster, normalized salinity index (NDSI), and normalized difference water index (NDWI) were the main contributors in the predicted data for soil electrical conductivity of the saturation paste extract (ECe, dS m−1). …”
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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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Bayesian integration of information in hippocampal place cells. by Tamas Madl, Stan Franklin, Ke Chen, Daniela Montaldi, Robert Trappl

“…Our results suggest that useful predictions regarding the firing fields of place cells can be made based on a single underlying principle, Bayesian cue integration, and that such predictions are possible using a remarkably small number of model parameters.…”
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The Relationships Between Vegetation Changes and Groundwater Table Depths for Woody Plants in the Sangong River Basin, Northwest China by Han Wu, Jie Bai, Junli Li, Ran Liu, Jin Zhao, Xuanlong Ma

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Evaluation of surface albedo products from ERA5, JRA-55, MERRA-2, and CERES-EBAF on the Tibetan Plateau: insights from in-situ observations and MODIS data by Guojin Pang, Lingzhen Meng, Xuejia Wang, Fei Liu, Mengyao Shu, Chunli Ma, Tao Che

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Analysing factors underlying the reporting of established non-native species by Phillip J. Haubrock, Ismael Soto, Ross N. Cuthbert, Irmak Kurtul, Elizabeta Briski

“…We employ a series of broadscale national predictors classified into ‘research’, ‘economy’, ‘environment & culture’, and ‘land-use’ to predict successful establishment. Our null models, which assume the distribution of non-native species mirrors that of each predictor, accurately predicted non-native species numbers across European countries. …”
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Assemblies, synapse clustering, and network topology interact with plasticity to explain structure-function relationships of the cortical connectome by András Ecker, Daniela Egas Santander, Marwan Abdellah, Jorge Blanco Alonso, Sirio Bolaños-Puchet, Giuseppe Chindemi, Dhuruva Priyan Gowri Mariyappan, James B Isbister, James King, Pramod Kumbhar, Ioannis Magkanaris, Eilif B Muller, Michael W Reimann

“…We confirmed our testable predictions in the MICrONS datasets, an openly available electron microscopic reconstruction of a large volume of cortical tissue. …”
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Using Adjoint-Based Forecast Sensitivity to Observation to Evaluate a Wind Profiler Data Assimilation Strategy and the Impact of Data on Short-Term Forecasts by Cheng Wang, Xiang-Yu Huang, Min Chen, Yaodeng Chen, Jiqin Zhong, Jian Yin

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Meeting the WHO physical activity guidelines and health-related quality of life of single parents in Ghana by Obed Jones Owusu-Sarpong, Kabila Abass, Solomon Osei-Tutu, André Hajek, Razak M. Gyasi, Razak M. Gyasi

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Bridging the divide: how agricultural technological innovation narrows the urban–rural income gap in China by Ruofan Liao, Yuheng Wei, Yu Bai, Jianxu Liu

“…This study investigates the comprehensive impact mechanism of agricultural technological innovation on urban-rural income disparities through a multi-dimensional analytical framework integrating productivity enhancement, structural transformation, and spatial heterogeneity effects.MethodsUsing panel data from 280 Chinese cities during 2008 - 2021, we employ two-way fixed effects panel regression models to examine the relationship between agricultural technological innovation (measured by patent applications) and urban–rural income gaps (measured by the Theil index). …”
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Characteristics and influencing factors of daily population flow in the Wuhan Metropolitan Region based on mobile signaling data by DENG Huilin, LIN Sainan

“…[Methods] Taking the Wuhan Metropolitan Region as the research object and based on the mobile signaling big data, point of interest (POI) data and social and economic data in November 2020, the social network analysis method and quadratic assignment procedure (QAP) regression model were applied to analyze the temporal and spatial characteristics of daily population flow in the Wuhan Metropolitan Region at the districts and counties scale. …”
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Coordinate Attention Filtering Depth-Feature Guide Cross-Modal Fusion RGB-Depth Salient Object Detection by Lingbing Meng, Mengya Yuan, Xuehan Shi, Qingqing Liu, Le Zhange, Jinhua Wu, Ping Dai, Fei Cheng

“…Second, a dense decoder guidance module is proposed to recover the spatial details of salient objects. Furthermore, a context-aware content module is proposed to extract rich context information, which can predict multiple objects more completely. …”
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Climate change enhances soil fauna population and biomass in grasslands of the Loess Plateau by Xi Yang, Ming’an Shao, Tongchuan Li

“…Conservatively estimated, the number of soil fauna on the Loess Plateau exceeds 4 × 1015, with the estimated total biomass of 4 × 106 t, equivalent to 2 Mt carbon. In addition, model predictions indicate that soil fauna populations and biomass of grassland in the Loess Plateau increased 27% and 29%, from 2000 to 2022. …”
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Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. When combined with machine learning approaches, these technologies offer even greater potential for developing predictive models and susceptibility maps, enabling proactive risk management. …”
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Revealing the decision-making practices in automated external defibrillator deployment: insights from Shanghai, China by Chaowei Wu, Yeling Wu, Lu Qiao

“…Taking Shanghai, China as the research area, we adopted the kernel density estimation and spatial autocorrelation analysis to explore the spatial distribution characteristics of AEDs. …”
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