An Innovative Approach for Calibrating Hydrological Surrogate Deep Learning Models by Amir Aieb, Antonio Liotta, Alexander Jacob, Iacopo Federico Ferrario, Muhammad Azfar Yaqub

“…Developing data-driven models for spatiotemporal hydrological prediction presents challenges in managing complexity, capturing fine spatial and temporal resolution, and ensuring model resilience across diverse regions. …”
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Antlions (Myrmeleontidae) of Doñana National Park (Spain) by Hanna Serediuk, Candela Yáñez da Silva, Maria Paniw

“…This study represents the first list of antlions (Myrmeleontidae) in Doñana National Park, conducted across 58 sampling locations during two field seasons (April-June 2023 and March-July 2024). …”

POLICY DIRECTIONS FLOOD DISASTER MITIGATION IN KAMPAR REGENCY, RIAU PROVINCE by Etika Sihaini, Dedi Hermon

“…The method used in this study is quantitative, and it is a survey and spatial analysis. This study was conducted in Kampar Regency, Riau Province. …”
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Enhanced group relation learning via aligned attention masking for fashion product captioning by Yuhao Tang, Dong Ye, Fei Tao, Guodong Du

“…In reality, many fashion products are presented from multiple angles and have a complex hierarchical structure that encompasses various spatial granularities. Existing methods that capture product-invariant features are inadequate for extracting the discriminative information necessary to differentiate between products, as the information derived from invariant product features is limited in comparison to that obtained from the original features. …”
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Ecological study on seaweed diversity in Suez, Hurghada and Marsa Alam, Red Sea, Egypt by Mahmoud Sami, Fayrouz Ahmed, Tarek A. Temraz, Amira A. Ali

“…The study was conducted through regular seasonal visits over four seasons, starting from winter 2022. …”
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Quantifying soil wind erosion attribution in Inner Mongolia’s desert grassland by Hongtao Jiang, Wenbang Gao, Baoyuan Liu, An Chang, Qiankun Guo

“…Data collection methods included the acquisition of soil samples, meteorological data, and vegetation cover information through remote sensing technology, along with field measurements taken at several sampling points within the study area. Data analysis was conducted using geographic detectors, which spatially identified the key factors influencing wind erosion and quantitatively assessed their contributions. …”
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Deciphering the role of CNIH4 in pan-cancer landscapes and its significance in breast cancer progression by Yao Xu, Zengzhen Lai, Chaolin Li

“…Correlation analyses suggest a role for CNIH4 in the tumor immune microenvironment, as evidenced by its association with immune subtypes, immune-related genes, and immune cell infiltration. Single-cell and spatial transcriptome analyses confirmed that CNIH4 expression in BRCA predicts tumor malignancy. …”
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Consistent Modeling of Transport Processes and Travel Times—Coupling Soil Hydrologic Processes With StorAge Selection Functions by Robin Schwemmle, Markus Weiler

“…Overall, the combined model allows a very effective simulation of combined flux and transport processes at various temporal and spatial scales.…”
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Laplacian Pyramid Network With Hybrid Encoder and Edge Guidance for Remote Sensing Change Detection by Wenkai Yan, Yikun Liu, Mingsong Li, Ruifan Zhang, Gongping Yang

“…In the decoder stage, weighted guided attention is designed to selectively apply channel and spatial attention to the fused features, improving the network's ability to discriminate change regions. …”
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Optimization of a Dense Mapping Algorithm with Enhanced Point-Line Features for Open-Pit Mining Environments by Yuanbin Xiao, Bing Li, Wubin Xu, Weixin Zhou, Bo Xu, Hanwen Zhang

“…The algorithm generates high-precision dense point cloud maps and uses an octree structure for efficient 3D spatial representation. In simulated open-pit mining scenarios, the dense mapping outperforms at reconstructing complex terrains, especially in low-texture gravel and uneven surfaces. …”
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Video Anomaly Detection Methods: a Survey by WU Peichen, YUAN Lining, GUO Fang, LIU Zhao

“…It involves extracting temporal and spatial features from video content to determine the presence of abnormal events and their types within the video, as well as to localize the regions and time where anomalies occur. …”
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KEY TRENDS IN THE DEVELOPMENT OF LAND TRANSPORT INFRASTRUCTURE IN RUSSIA’S ARCTIC REGIONS DURING THE PRE-PANDEMIC PERIOD by Natalia A. Serova, Valentina A. Serova

“…The implementation of national projects for establishing a unified national transport network determines the relevance of studying the spatial organization of transport infrastructure, including the assessment of transport development across individual regions. …”

Enhancing access to rainwater harvesting in regions with saline groundwater by Harish Puppala, Manoj Kumar Arora, Pranav R. T. Peddinti, Jagannadha Pawan Tamvada, Kousik Das

“…Firstly, in view of the limitation in terms of spatial resolution associated with satellite imagery, a UAV-based survey is conducted to create a high-resolution orthomosaic of the study region, enabling precise delineation and classification of rooftop materials to estimate harvestable rainwater. …”
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Multi-Band Differential SAR Interferometry for Snow Water Equivalent Retrieval over Alpine Mountains by Fabio Bovenga, Antonella Belmonte, Alberto Refice, Ilenia Argentiero

“…This study addresses these issues and explores the use of multi-band SAR data to derive SWE maps in alpine regions characterized by steep terrain, small spatial extent, and a potentially heterogeneous snowpack. …”
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Harnessing fear of predators and competitors as deterrents for an invasive predator by Sze Wing Yiu, Justin P. Suraci, Grant Norbury, Patrick M. Garvey

“…Human playbacks protected the greatest proportion of food patches, were more likely to reduce time spent feeding, and induced fleeing responses and spatial avoidance to a greater degree than competitor or control treatments. …”
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Analysis of the Use of Sequence T2 SPACE Dark Fluid in MRI Brain Coronal Slice Examinations with Clinical Epilepsy at the National Brain Center Hospital by Legia Prananto, Khairil Anwar, Riska Sekar Febriani

“…In addition, it provides good spatial resolution for assessing the hippocampal structure, allowing the visualization of abnormal signal intensities within the hippocampus, and facilitating the detection of hippocampal abnormalities. …”
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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

“…This method utilizes the deep feature mining capabilities of convolutional neural networks (CNN) and long short-term memory networks (LSTM) to effectively extract spatial features and temporal information sequences from the dataset. …”
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Geospatial analysis of sports tourism resources in China's urban clusters: a case study of the Sichuan-Chongqing region utilizing GIS and the geographic detector by Xuefeng Tan, Zhiheng Liu, Lizhen Shi, Xiaoling Huang

“…IntroductionThis study aims to elucidate the temporal and spatial distribution patterns of sports tourism resources within the Sichuan-Chongqing Urban Agglomeration, examining how these distributions reflect the developmental pathways of urban regions. …”
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A Cross-Sectional Study Examining the Role of Climate Variability in Shaping Trypanosomiasis Trends in Binga District, Zimbabwe (2008-2023): A Multi-Method Survey by Nozithelo Ndiweni MSc, Perez Livias Moyo MSc, Wilfred Njabulo Nunu PhD, Joyce Tsoka-Gwegweni PhD

“…Rainfall and temperature data are presented as line graphs and maps at 3-year intervals for the period 2008 to 2023. Spatial analysis was conducted by overlaying climate data with the reported suspected cases of trypanosomiasis. …”
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Monte Carlo and bootstrap approaches for power system adequacy: a study on atmospheric variables correlations by Claudio F. Nicolosi, Giuseppe Marco Tina

“…In literature, adequacy analyses are often conducted by simulating the availability profiles of power plants. …”
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