Physics‐Informed Neural Networks Trained With Time‐Lapse Geo‐Electrical Tomograms to Estimate Water Saturation, Permeability and Petrophysical Relations at Heterogeneous Soils... by C. Sakar, N. Schwartz, Z. Moreno

“…However, obtaining geoelectrical tomograms from raw measurements requires the inversion of an ill‐posed problem, which causes smoothing of the actual structure. Furthermore, the spatial resolution is determined from the distances in the electrode placement, thus inherently upscaling the obtained structure. …”
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Segmentation of Anterior and Posterior Chambers on UBM Images by Fuzzy Clustering by Yaru Yao, Xin Wang, Xinying You, Xueyan Liu

“…Quantitative analyses of the accuracy and reliability of the segmentation quantification results were conducted using relative error and intraclass correlation coefficients (ICC). …”
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Use of ERA5-L reanalysis datasets to derive heat units and predict the maturity period of wheat crop in central Punjab by SONY BORA, ATIN MAJUMDER, R. K. PAUL, P. K. KINGRA

“… The ERA5-L reanalysis dataset, produced by ECMWF is the latest and most advanced global climate reanalysis datasets available with high spatial and temporal resolution. To assess the applicability of ERA5-L reanalysis data, a field experiment was conducted to predict the onset of maturity period of wheat crop based on heat units derived by ERA5-L data at the University research farm in Ludhiana. …”
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The modeling of two-dimensional vortex flows in a cylindrical channel using parallel calculations on a supercomputer by I. G. Lebo, I. V. Obruchev

“…Using a specific task as an example, a comparison of the effectiveness of these methods was conducted. A parallel algorithm was developed and a program was upgraded for solving two-dimensional equations of gas dynamics in cylindrical coordinates (r, z are spatial coordinates, t is time). …”
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Spatiotemporal Analysis of Dust Devils in the Preselected Landing Area for Tianwen-3: A Case Study of Chryse Planitia by Yu Yang, Bo Li, Zhaojin Rong, Shaojie Qu, Xuan Cheng

“…A spatiotemporal analysis of DDTs is conducted in Chryse Planitia, a preselected landing area of the Tianwen-3 mission. …”
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Pathogenetic links between cognitive impairment in arterial hypertension and anatomical and functional characteristics of hippocampal morphology and blood supply (a literature revi... by A. O. Svitlytskyi, I. F. Bielenichev, O. V. Hancheva, T. A. Hrekova

“…Results. The authors have conducted a systematic review of articles and scientific publications in PubMed, Scopus and Cochrane databases. …”
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Temporal Dynamics of Host Plant Use and Parasitism of Three Stink Bug Species: A Multi-Trophic Perspective by Martina Falagiarda, Francesco Tortorici, Sara Bortolini, Martina Melchiori, Manfred Wolf, Luciana Tavella

“…Parasitism rates varied across species and plant families: <i>Trissolcus japonicus</i> predominantly parasitized <i>H. halys</i> while <i>T. cultratus</i> and two <i>Telenomus</i> species targeted <i>P. rufipes</i> and <i>P. prasina</i>, respectively. Spatial–temporal features and host plant associations significantly influenced species distributions and parasitoid occurrence. …”
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In silico model of mechano-biochemical bone remodeling characterizes the therapeutic effects of osteoporosis drugs depending on the action mechanism by Yoshitaka Kameo, Kei Imai, Yuki Miya, Young Kwan Kim, Taiji Adachi

“…Herein, we characterized the therapeutic effects of osteoporosis drugs using an in silico model of mechano-biochemical bone remodeling, enabling examination of its spatial and temporal behaviors. We conducted computer simulations to assess osteoporosis drug treatments using two drugs with different mechanisms of action: an anti-receptor activator of nuclear factor-κB ligand (RANKL) antibody (denosumab) and a RANKL production inhibitor. …”
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Freshwater access in high salinity regions: impacts and adaptation insights from the Ganges River Delta by Yukyan Lam, Pamela J Surkan, Peter J Winch, Fosiul Alam Nizame

“…Across the sites, we conducted 83 in-depth interviews with community members and non-governmental organization (NGO) representatives and six community focus groups. …”
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Artificial intelligence large model for logging curve reconstruction by Zhangxing CHEN, Yongan ZHANG, Jian LI, Gang HUI, Youzhuang SUN, Yizheng LI, Yuntian CHEN, Dongxiao ZHANG

“…To improve the accuracy and generalization of well logging curve reconstruction, this paper proposes an artificial intelligence large language model – “Gaia” and conducts model evaluation experiments. By fine-tuning the pre-trained large language model, the Gaia significantly improved its ability in extracting sequential patterns and spatial features from well-log curves. …”
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Temperature field study of LSAM-50 flexible base asphalt pavement by Yufeng Bi, Minghao Mu, Mengyu Guo, Wanyu Wu, Tingting Ding, Chengduo Qian, Deshui Yu, Yingjun Jiang, Hongjian Su

“…Therefore, the interaction between the natural environment, pavement materials, and other factors is centrally reflected in the spatial and temporal distribution characteristics of the pavement temperature field. …”
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Prognostic and immunological implications of cathepsin Z overexpression in prostate cancer by Junyue Tao, Junyue Tao, Junyue Tao, Yiding Chen, Yiding Chen, Yiding Chen, Xiaokang Bian, Xiaokang Bian, Xiaokang Bian, Tingting Cai, Tingting Cai, Tingting Cai, Changhao Song, Changhao Song, Changhao Song, Chaozhao Liang, Chaozhao Liang, Chaozhao Liang, Zongyao Hao, Zongyao Hao, Zongyao Hao, Jialing Meng, Jialing Meng, Jialing Meng, Qintao Ge, Qintao Ge, Jun Zhou, Jun Zhou, Jun Zhou

“…Multidimensional strategies consist of spatial transcriptome analysis, differential expression analysis, survival analysis, and correlation with clinicopathological features were performed. …”
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Explainable AI for Spectral Analysis of Electromagnetic Fields by Dimitris Kalatzis, Agapi Ploussi, Ellas Spyratou, Theodor Panagiotakopoulos, Efstathios P. Efstathopoulos, Yiannis Kiouvrekis

“…This study explores the application of Explainable Artificial Intelligence (XAI) techniques to the spectral analysis of electromagnetic field (EMF) measurements conducted across various frequency bands in Cyprus. …”
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An automatic rice mapping method based on an integrated time-series gradient boosting tree using GF-6 and sentinel-2 images by Xueqin Jiang, Huaqiang Du, Song Gao, Shenghui Fang, Yan Gong, Ning Han, Yirong Wang, Kerui Zheng

“…To identify the rice planting areas as early as possible, rice mapping was conducted by reducing the number of images one by one. …”
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Subjective Evaluation of Place Environmental Quality in Conference and Exhibition Buildings in Small- and Medium-Sized Cities: An Empirical Case Study by Yuchen Xie, Jianhe Luo, Peng Du

“…First, a preliminary study was conducted to establish an evaluation index system for place environmental quality. …”
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Eye Tracking in Neuropsychological Research of Visual Gnosis Features in Children with Hearing Impairment by Y.K. Smirnova, Ju.E. Grigorova, L.N. Gordeeva

“…The duration of the scanning path, spatial density of fixations, scanning regularity, and scanning direction during image recognition differ. …”
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Wideband Reflectarray Antennas in the Microwave Range by L. М. Liubina, S. V. Ballandovich, G. A. Kostikov, Yu. G. Antonov

“…., the use of multilayer structures and spatial diversity and geometric optimization of elements, with the purpose of clarifying their practical applicability.Materials and methods. …”
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Widespread neuronal activity related to bimanual coordination in non-human primates: evidence from Fos-like activation during bimanual versus unimanual motor task by Yu Liu, Eric M. Rouiller

“…Electrophysiological data support the notion that spatial and temporal coordination between the forelimbs in primates takes place in a wide network of cortical and subcortical brain structures. …”
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Prediction of Temperature Distribution with Deep Learning Approaches for SM1 Flame Configuration by Gökhan Deveci, Özgün Yücel, Ali Bahadır Olcay

“…The second framework employs a U-Net-based convolutional neural network enhanced by an RGB Fusion preprocessing technique, which integrates multiple scalar fields from non-reacting (cold flow) conditions into composite images, significantly improving spatial feature extraction. The training and validation processes for both models were conducted using 80% of the CFD data for training and 20% for testing, which helped assess their ability to generalize new input conditions. …”
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Three-component detection technology of down-hole TEM for hidden geological anomalies in coal mines by Xiaowei GAO

“…Next, the current loop inversion technique is applied to spatially localize the anomaly bodies in theoretical models of water-bearing collapsed columns, water-bearing faults, and flooded goaf areas. …”
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