Estimation of Soil Organic Carbon Content of Grassland in West Songnen Plain Using Machine Learning Algorithms and Sentinel-1/2 Data by Haoming Li, Jingyao Xia, Yadi Yang, Yansu Bo, Xiaoyan Li

“…Nine experiments were conducted under three variable scenarios to select the optimal model. …”
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Grouping Behaviour and Anti-Predator Responses in the Helmeted Guineafowl <i>Numida meleagris</i> by Johann H. van Niekerk, Giovanni Forcina, Rodrigo Megía-Palma

“…Livestream webcam observations were conducted in Madikwe Game Reserve (South Africa) from August 2020 to August 2021. …”
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User Trajectory Prediction in Cellular Networks Using Multi-Step LSTM Approaches: Case Study and Performance Evaluation by Iskandar, Hajiar Yuliana, Hendrawan, Adriel Timoteo, Fabian Rafinanda Benyamin, Naufal Bhanu Anargyarahman

“…While LSTM excels in capturing sequential temporal patterns, Transformer introduces multi-head attention mechanisms to model complex spatial and temporal dependencies, filling a significant research gap in trajectory prediction. …”
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Traveling waves in the human visual cortex: An MEG-EEG model-based approach. by Laetitia Grabot, Garance Merholz, Jonathan Winawer, David J Heeger, Laura Dugué

“…Furthermore, model accuracy peaked at the spatial and temporal frequency parameters of the visual stimulation. …”
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NMH-CS 3.0: a C# programming language and Windows-system-based ecohydrological model derived from Noah-MP by Y.-H. Liu, Z.-L. Yang

“…The spatial maps and temporal variations in many state variables simulated by NMH-CS 3.0 and WRF-Hydro/Noah-MP demonstrate highly consistent results, occasionally with minor discrepancies. …”
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Machine Learning in the Design Decision-Making of Traditional Garden Space Renewal: A Case Study of the Classical Gardens of Jiangnan by Lina Yan, Liang Zheng, Xingkang Jia, Yi Zhang, Yile Chen

“…In constructing the CGAN model, we determine the spatial characteristics of the Suzhou Gardens and, combined with historical floor plan data, train the network. …”
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Development of a high-order global dynamical core using the discontinuous Galerkin method for an atmospheric large-eddy simulation (LES) and proposal of test cases: SCALE-DG v0.8.0 by Y. Kawai, H. Tomita, H. Tomita

“…The error norms from the deterministic test cases, such as the linear-advection and gravity-wave tests, showed an optimal convergence rate achieved by an approximately <span class="inline-formula"><i>p</i>+1</span>-order spatial accuracy when the temporal and round-off errors were sufficiently small. …”
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Genetic micro-epidemiology of malaria in Papua Indonesia: Extensive P. vivax diversity and a distinct subpopulation of asymptomatic P. falciparum infections. by Zuleima Pava, Rintis Noviyanti, Irene Handayuni, Hidayat Trimarsanto, Leily Trianty, Faustina H Burdam, Enny Kenangalem, Retno A S Utami, Yusrifar K Tirta, Farah Coutrier, Jeanne R Poespoprodjo, Ric N Price, Jutta Marfurt, Sarah Auburn

“…<h4>Background</h4>Genetic analyses of Plasmodium have potential to inform on transmission dynamics, but few studies have evaluated this on a local spatial scale. We used microsatellite genotyping to characterise the micro-epidemiology of P. vivax and P. falciparum diversity to inform malaria control strategies in Timika, Papua Indonesia.…”
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Technology of ecologically safe vegetable crops cultivation in the highlands of Kabardino-Balkaria by K. M. Nazranov, Z. S. Shibzukhov, M. N. Orzalieva

“…One of the ways to solve the problem of obtaining ecologically safe agricultural products is introduction of a special crop rotation based on organic farming in clean phytosanitary zone of the highlands of the republic. Spatial isolation of the mountain zone will allow growing high-quality ecologically safe vegetable products obtained by cultivation agricultural plants with typical morphological characteristics and economic and biological qualities incident to a particular variety. …”
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A security data detection and management method in digital library network based on deep learning by Diyin Zhu, Yihang Wei, Jiali Cai, Jingwen Wang, Zhongshan Chen

“…The method combines the structures of temporal convolutional network (TCN) and bidirectional gated recurrent unit (BiGRU) to extract spatial and temporal features from digital library network security data. …”
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Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park by WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong

“…[Objective] Long-term monitoring of plant community dynamics in large forest plots helps reveal the spatial patterns and underlying mechanisms that sustain species diversity. …”
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A GIS‐based tool for dynamic assessment of community susceptibility to flash flooding by R. S. Wilkho, N. G. Gharaibeh, S. Chang

“…DFFS operates through four key steps: extracting FF data from the NOAA Storm Events Database for census tracts (CTs) in any region of interest, conducting spatial hotspot analysis to identify areas of high and low FF occurrences, applying causal discovery to identify region‐specific causal factors (from potential factors such as geology, terrain, and meteorology), and using machine learning to calculate susceptibility scores, resulting in a detailed FF susceptibility map. …”
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Application of Distributed Acoustic Sensing for Active Near-Surface Seismic Monitoring by Eslam Roshdy, Mariusz Majdański, Szymon Długosz, Artur Marciniak, Paweł Popielski

“…The results show a comparable data quality, with DAS offering significant advantages in terms of both the spatial and temporal resolution, facilitating more accurate interpretations. …”
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The Interaction of Australian Winter Monsoon and East Asian Summer Monsoon and Its Impacts on Convergence Around Kalimantan by Ayu Vista Wulandari, Rira Angela Damanik, Rosi Hanif Damayanti, Vinca Amalia Rizkiafama, Juni Tika Simanjuntak, Nurjanna Joko Trilaksono

“…Composite and correlation analyses were conducted by calculating the regression coefficients between the composite variables and the target variables. …”
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The Role of Foreign Property Laws in Stimulating Sustainable Real Estate Development in Dahab, South Sinai governate, Egypt by ENAS Hafiz

“…The findings aim to support sustainable development and offer a roadmap for enhancing investment while preserving Dahab’s unique cultural and environmental identity.Conducted in collaboration with the Central Agency for Public Mobilization and Statistics, the study includes a detailed demographic and spatial analysis. …”
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Evaluation of Land Suitability for Organic Horticulture Farming in Support of Sustainable Agrarian Governance by Sukron Romadhona, Sri Puryono, Mussadun Mussadun

“…Therefore, this research was conducted to assess the suitability of snake fruit plants. …”
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Childhood autism associated with neurological manifestations and corpus callosum hypoplasia: literature review and clinical cases by O. A. Komissarova, O. A. Milovanova, G. G. Avakyan, S. V. Bugriy

“…A brain MRI showed that it was accompanied with CC hypoplasia. We conducted comprehensive analysis of anamnestic data as well as medical genetic, neurological, psychopathological, pathopsychological, laboratory, and instrumental examinations.Results. …”
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ECVNet: A Fusion Network of Efficient Convolutional Neural Networks and Visual Transformers for Tomato Leaf Disease Identification by Fendong Zou, Jing Hua, Yuanhao Zhu, Jize Deng, Ruimin He

“…Next, we created a Convolutional Attention Fusion module (CAF module) to effectively extract and integrate both local and global features, thereby improving the model’s spatial feature extraction capabilities. We conducted extensive experiments using the Plant Village dataset and the AI Challenger 2018 dataset, with ECVNet achieving state-of-the-art recognition performance in both cases. …”
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LO-MLPRNN: A Classification Algorithm for Multispectral Remote Sensing Images by Fusing Selective Convolution by Xiangsuo Fan, Yan Zhang, Yong Peng, Qi Li, Xianqiang Wei, Jiabin Wang, Fadong Zou

“…The algorithm employs parallel-connected ODC and LSK modules to adaptively adjust convolution kernel parameters across multiple dimensions and dynamically optimize spatial receptive fields, enabling multi-perspective feature fusion for efficient processing of multispectral band information. …”
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Response of Vegetation Phenology to Meteorological Factors in Different Eco-Geographic Zones in China by Yutong Liang, Jinxin Yang, Qiang Yang, Wenkai Chen, Juncheng Fan, Yuanyuan Chen

“…Notably, these changes exhibit significant spatial variations. The response of vegetation phenology to temperature and precipitation is relatively complex and is closely related to local climatic conditions, humidity, vegetation type, etc. …”
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