Regional Tropospheric Delay Prediction Model Based on LSTM-Enhanced Encoder Network by Yuanfang Peng, Chenglin Cai, Zexian Li, Kaihui Lv, Xue Zhang, Yihao Cai

“…This model incorporated both spatial and temporal information as well as correlations with GPT3 ZTD. …”
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The Origin of the Matter Matters: The Influence of Terrestrial Inputs on Coastal Benthic Microeukaryote Communities Revealed by eDNA by Mathisse Meyneng, Raffaele Siano, Naïna Mouras, Dominique Ansquer, Christine Laporte‐Magoni, Florence Antypas, Thomas Haize, Hugues Lemonnier

“…The metallic composition of the sediment explained 18.46% of the community spatial variability. The selection of ASVs based on their contribution to beta diversity and their correlation with metallic concentrations enabled us to identify spatial patterns. …”
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The Hedyotis diffusa chromosome-level genome and multi-omics analysis provide new insights into the iridoids biosynthetic pathway by Pengyu Chen, Pengyu Chen, Zhuang Huang, Zhuang Huang, Mingzhu Yin, Yu-xin Wen, Yu-xin Wen, Qi Jiang, Qi Jiang, Ping Huang, Rui Qian, Rui Qian, Xing Hong, Xing Hong, Kaojiang Zhu, Kaojiang Zhu, Benjiang Xiao, Benjiang Xiao, Meng Chen, Meng Chen, Shihao Li, Shihao Li, Fang Huang, Lin-tao Han, Lin-tao Han

“…The tissue-specific expression patterns of MEP/MVA and iridoid biosynthesis genes suggest spatial regulation of metabolite production. …”
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Impact of Lewy bodies disease on visual skills and memory abilities: from prodromal stages to dementia by Cinzia Bussè, Cinzia Bussè, Micaela Mitolo, Micaela Mitolo, Stefano Mozzetta, Annalena Venneri, Annalena Venneri, Annachiara Cagnin, Annachiara Cagnin

“…Neuropsychological research is continuously refining the tools to define more in detail the patterns of relatively preserved and impaired cognitive abilities that help differential diagnosis between DLB and Alzheimer disease (AD). …”
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Living on the Edge: The Precariat Amid the Rental Crisis in the Metropolitan Area of Las Palmas de Gran Canaria (Spain) by Víctor Jiménez Barrado, José Ángel Hernández Luis, Antonio Ángel Ramón Ojeda, Claudio Moreno Medina

“…The analysis identifies patterns of exclusion and urban fragmentation, showing that large sectors of the population—especially those earning the minimum age—face severe barriers to accessing adequate housing. …”
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Source apportionment of potentially toxic elements in soils from an urbanising region: Insights from multivariate analysis in Singida, Tanzania by Raymond Webrah Kazapoe, Benatus Norbert Mvile, John Desderius Kalimenze, Daniel Kwayisi, Samuel Dzidefo Sagoe, Kwabina Ibrahim, Obed Fiifi Fynn

“…Due to the growing rate of urbanisation, these areas have become relatively populous and have a high level of anthropogenic activities, such as gold mining, sunflower oil milling and agricultural activities which have been shown in the study to influence the spatial patterns of PTEs in the area. The level of anthropogenic influence on the PTEs calls for remediation and educative measures to be implemented.…”
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Integrating geographic information systems into veterinary education within the one health framework: an interdisciplinary approach by Antonio Contreras, Víctor Cuevas, Jorge Rivera-Gomis, Jorge Rivera-Gomis, Antonio Sánchez, Pelayo Acevedo, Joaquin Vicente

“…The ability to visualize epidemiological patterns and combine health and production data with environmental risk layers fosters student engagement and spatial reasoning. …”
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Genomic Sequencing: Techniques, Advancements, and the Path Ahead by Mohsina Patwekar, Faheem Patwekar, A Venkata Badarinath, Abdul Ajeed Mohathasim Billah, Vamseekrishna Gorijavolu, Karthickeyan Krishnan, Palani Shanmugasundaram, P. Dharani Prasad, A. A. Kazi

“…New techniques, such as epigenetic sequencing, have revealed that DNA alterations are essential for gene control, and spatial transcriptomics has connected gene expression to tissue-specific patterns. …”
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Novel application of unsupervised machine learning for characterization of subsurface seismicity, tectonic dynamics and stress distribution by Mohammad Salam, Muhammad Tahir Iqbal, Raja Adnan Habib, Amna Tahir, Aamir Sultan, Talat Iqbal

“…Our study pioneers an innovative use of unsupervised machine learning, a powerful tool for navigating unclassified data, to unravel the complexities of subsurface seismic activities and extract meaningful patterns. Our central objective is to comprehensively characterize seismicity within an active region by identifying distinct seismic clusters in spatial distribution, thereby gaining a deeper understanding of subsurface stress distribution and tectonic dynamics. …”
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LABind: identifying protein binding ligand-aware sites via learning interactions between ligand and protein by Zhijun Zhang, Lijun Quan, Junkai Wang, Liangchen Peng, Qiufeng Chen, Bei Zhang, Lexin Cao, Yelu Jiang, Geng Li, Liangpeng Nie, Tingfang Wu, Qiang Lyu

“…LABind utilizes a graph transformer to capture binding patterns within the local spatial context of proteins, and incorporates a cross-attention mechanism to learn the distinct binding characteristics between proteins and ligands. …”
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Unraveling Tissue‐Specific Fatty Acid Biosynthesis and Inter‐Tissue Crosstalk in Mice through Stable‐Isotope Tracing Metabolomics by Beizi Xing, Ruohong Wang, Tianzhang Kou, Wenbin Liu, Zheng‐Jiang Zhu

“…Employing an analytical framework to deconvolve mass isotopologue patterns, inter‐tissue crosstalk is explored for saturated, polyunsaturated, and monounsaturated FFAs, and quantify communications of FFA (16:0) and FFA (18:0) between the liver and other tissues. …”
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Computational image and molecular analysis reveal unique prognostic features of immune architecture in African Versus European American women with endometrial cancer by Sepideh Azarianpour, Sirvan Khalighi, Arpit Aggarwal, Vidya Sankar Viswanathan, Pingfu Fu, Stefanie Avril, Anant Madabhushi

“…We identified the differences in immune cell spatial patterns between AA and EA populations with markers of tumor biology, including histologic and molecular subtypes. …”
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Statistical Recognition of OAM States in Free-Space Optical System by Qinnan Zhu, Guowei Yang, Zhiyu Yuan, Meihua Bi, Xuefang Zhou, Miao Hu

“…In this paper, we present a new simple statistical recognition method realized by utilizing the turbulence-induced crosstalk distribution, other than the routine way to use the spatial intensity patterns. The proposed method is based on acquiring the priori OAM crosstalk distribution of the training optical data, and then using similarity analysis to recognize the OAM states of the information optical data. …”
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Integrated solar electrification and community empowerment in a burkina faso Village: A feasibility and design study by Bertrand Sawadogo, Amel Benmouna, Mohamed Becherif, Shimaa barakat, Mohamed Samy

“…This paper examines the practicality and design of an off-grid solar mini-grid aimed at providing electricity to the rural community of Nienega-Mossi in Burkina Faso, which is currently experiencing significant energy poverty. This study combines spatial analysis through geographic information systems to enhance network layout and utilizes comprehensive load profiling to understand household energy demand patterns. …”
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Modulation instability, and dynamical behavior of solitary wave solution of time M- fractional clannish random Walker's Parabolic equation via two analytic techniques by Mohammed Kbiri Alaoui, Mahtab Uddin, Md. Mamunur Roshid, Harun Or Roshid, M.S. Osman

“…This model is particularly significant in areas such as ecology, sociology, and urban planning, where understanding individual interactions within spatial contexts is vital. By solving this equation, we gain insights into group formation and navigation, enhancing our comprehension of emergent patterns and system design. …”
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Study of the Characteristics of a Co-Seismic Displacement Field Based on High-Resolution Stereo Imagery: A Case Study of the 2024 MS7.1 Wushi Earthquake, Xinjiang by Chenyu Ma, Zhanyu Wei, Li Qian, Tao Li, Chenglong Li, Xi Xi, Yating Deng, Shuang Geng

“…The results indicate a clear vertical displacement distribution pattern along the causative sinistral–thrust fault, exhibiting alternating uplift and subsidence zones that follow a characteristic “high-in-center and low-at-ends” profile, along with localized peak displacement clusters. …”
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Developing and Validating Species Distribution Models for Wetland Plants Across Europe by Ojaswi Sumbh, Marjon Hellegers, Valerio Barbarossa, Renata Ćušterevska, Borja Jiménez‐Alfaro, Łukasz Kozub, Francesca Napoleone, Zvjezdana Stančić, Aafke M. Schipper

“…We concluded that our SDMs are suitable for predicting broad‐scale patterns of wetland plant species distributions as governed by climatic conditions. …”
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Landscape changes have driven the coordination of human-land relationships in coastal wetlands under ecological restoration in a short term by Yuan Chi, Jingkuan Sun, Zhanyong Fu, Xinyang Zhang, Rui Hu, Yao Zhang

“…Results indicated that four major human activities types, namely, ecological conservation, agricultural production, pond development, and urban construction, dominated the spatiotemporal patterns of ecological health in the Yellow River Delta, but the contributions of different human activity types were varying. …”
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The Spatiotemporal Variability of Ozone and Nitrogen Dioxide in the Po Valley Using In Situ Measurements and Model Simulations by Stiliani Musollari, Andreas Pseftogkas, Maria-Elissavet Koukouli, Astrid Manders, Arjo Segers, Katerina Garane, Dimitris Balis

“…The LOTOS-EUROS CTM ozone simulations demonstrate a strong correlation with the EEA measurements, with a monthly correlation coefficient of R > 0.98 and a diurnal correlation coefficient of R > 0.83, indicating that the model is highly effective at capturing the diverse spatiotemporal patterns. The co-variability between ozone and nitrogen dioxide surface levels reported by the EEA in situ measurements reports high R values from −0.76 to −0.88, while the CTM, due to the spatial resolution of the simulations which disables the identification of local effects, reports higher correlations of −0.96 to −0.99. …”
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Dynamic evolution characteristics and risk assessment of floor microseismic in close repeated mining by Jing JIA, Jinyan ZHOU, Qinghua NIU

“…The close proximity between upper and lower coal seams leads to secondary superposition failure during repeated mining, exacerbating the challenges associated with effective water control measures.Using 33200 working face of Pingmei 10 mine as a case study, this paper analyzes microseismic event spatial patterns, energy distribution, as well as extensive statistical data resulting from repetitive lower coal seam extraction actions. …”
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