Exploring Applications of Convolutional Neural Networks in Analyzing Multispectral Satellite Imagery: A Systematic Review by Antonia Ivanda, Ljiljana Šerić, Maja Braović

“…Remote sensing is of great importance for analyzing and studying various phenomena occurrence and development on Earth. Today is possible to extract features specific to various fields of application with the application of modern machine learning techniques, such as Convolutional Neural Networks (CNN) on MultiSpectral Images (MSI). …”
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Towards an interdisciplinary approach to the study of emotionality in audible speech by L.V. Velichkova, O.V. Kirshinova

“…</strong> In all texts, tension caused by changes in emotional tension can be traced, revealing nationally specific features in formal characteristics. <strong>Conclusions.…”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…Introduction. Trade development requires the implementation of artificial intelligence and machine learning technologies to improve the accuracy of delivery forecasts. …”
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Morphometric analysis and hydrological implications of the Himalayan River Basin, Goriganga, India, using Remote Sensing and GIS techniques by Parvaiz Ahmad Ganie, Ravindra Posti, Garima, Kishor Kunal, Nityanand Pandey, Pramod Kumar Pandey

“…Limestone, due to its high permeability and karst features, forms the principal aquifer, although it is susceptible to contamination. …”
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Categorical Cross-Recurrence Quantification Analysis Applied to Communicative Interaction during Ainsworth’s Strange Situation by Danitza Lira-Palma, Karolyn González-Rosales, Ramón D. Castillo, Rosario Spencer, Andrés Fresno

“…This procedure is used for assessing children’s attachment quality during early stages of their development. Many studies have demonstrated that communicative interactions share features with complex dynamic systems. …”
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Advances in application of ultrasound in diagnosis of diabetic nephropathy by GUO Juan, YANG Zhifang, JI Ri

“…In DN patients, shear wave velocity (SWV) exhibits a characteristic pattern of "initial increase followed by decrease", which may correlate with histopathological staging. …”
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Fluid Dynamics Exploration in Molten Salt Reactors: A Comprehensive Study of Draining Tank Using the Moving Particle Semi-Implicit Method by Yacobus Yulianto, Asril Pramutadi Andi Mustari, Muhammad Rizqie Arbie

“…Molten Salt Reactors (MSRs) represent a promising advancement in nuclear energy technology through the use of liquid fuels, offering inherent safety features and efficient thermal conversion. A critical safety mechanism in MSRs is the drain tank system, designed to passively remove molten salt fuel during emergency shutdowns. …”
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SKIN AVILABLE MASTOID AREA ON THE STAGE OF ITS STRAIN by D.S. Avetikov, D.V. Steblovskii, I.I. Starchenko

“…Thus, in the experimental group that studied a thorny layer of the epidermis cells there is a progressive increase in the state hydropic degeneration, while some of them in cytoplasmic vacuoles with fluid, occupying almost the entire space of the cytoplasm. This morphological pattern indicative of the extent of extreme severity hydropic degeneration is the development of balloon degeneration, which is known to be a morphological equivalent focal necrosis. …”
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Graph-text contrastive learning of inorganic crystal structure toward a foundation model of inorganic materials by Keisuke Ozawa, Teppei Suzuki, Shunsuke Tonogai, Tomoya Itakura

“…We present a contrastive learning of inorganic crystal structure (CLICS) for embedding the geometric concepts, which contrasts texts representing the contextual patterns of geometries with the crystal graphs. We demonstrate that the geometric concepts are integrally embedded on the CLICS feature space, through experiments of concept prediction from crystal graphs, similar structure search, and few-shot/imbalanced crystal structure classification.…”
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Identification of genes related to fatty acid metabolism in type 2 diabetes mellitus by Ji Yang, Yikun Zhou, Jiarui Zhang, Yongqin Zheng, Jundong He

“…Immune cells, including dendritic cells, eosinophils, and neutrophils, may play a role in the progression of T2DM. ceRNA and drug-target network analysis revealed potential interactions, such as RP11-miR-29a-YTHDF3 and BPA-MSANTD1. The expression patterns of the feature genes, except for YTHDF3, were consistently upregulated in T2DM, aligning with trends observed in the training set. …”
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T-cell receptor dynamics in digestive system cancers: a multi-layer machine learning approach for tumor diagnosis and staging by Changjin Yuan, Bin Wang, Hong Wang, Fang Wang, Xiangze Li, Ya’nan Zhen

“…Multi-layer machine learning-based diagnostic models were developed by leveraging motif-based feature and deep learning-based feature extraction using ProteinBERT from the 100 most abundant CDR3 sequences per sample. …”
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Non-invasive detection of Parkinson’s disease based on speech analysis and interpretable machine learning by Huanqing Xu, Wei Xie, Mingzhen Pang, Ya Li, Luhua Jin, Fangliang Huang, Xian Shao

“…This study aims to develop an interpretable machine learning model that uses speech recordings and acoustic features to predict PD.MethodsA dataset of speech recordings from individuals with and without PD was analyzed. …”
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Spatial and temporal evolution characteristics of apple carbon emissions in China, 1991–2020 by Qiangqiang Zhang, Xixi Gao, Yujie Hu, Zhongwei He, Xiaojing Li

“…Abstract Articulating the spatial and temporal features of apple carbon emissions in China across different years and areas is critical for developing an appropriate and acceptable apple carbon reduction program. …”
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Transgenic overexpression of LARGE induces α-dystroglycan hyperglycosylation in skeletal and cardiac muscle. by Martin Brockington, Silvia Torelli, Paul S Sharp, Ke Liu, Sebahattin Cirak, Susan C Brown, Dominic J Wells, Francesco Muntoni

“…Further detailed muscle physiological analysis demonstrated a loss of force in response to eccentric exercise in the older, but not in the younger mice, suggesting this deficit developed over time. However this remained a subclinical feature as no pathology was observed in older mice in any muscles including the diaphragm, which is sensitive to mechanical load-induced damage.…”
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Bayesian test for colocalisation between pairs of genetic association studies using summary statistics. by Claudia Giambartolomei, Damjan Vukcevic, Eric E Schadt, Lude Franke, Aroon D Hingorani, Chris Wallace, Vincent Plagnol

“…A key feature of the method is the ability to derive the output statistics from single SNP summary statistics, hence making it possible to perform systematic meta-analysis type comparisons across multiple GWAS datasets (implemented online at http://coloc.cs.ucl.ac.uk/coloc/). …”
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Lightweight Deep Learning Model for Fire Classification in Tunnels by Shakhnoza Muksimova, Sabina Umirzakova, Jushkin Baltayev, Young-Im Cho

“…This model integrates MobileNetV3 for spatial feature extraction, Temporal Convolutional Networks (TCNs) for temporal sequence analysis, and advanced attention mechanisms, including Convolutional Block Attention Modules (CBAMs) and Squeeze-and-Excitation (SE) blocks, to prioritize critical features such as flames and smoke patterns while suppressing irrelevant noise. …”
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Backfire Effect Reveals Early Controversy in Online Media by Songtao Peng, Tao Jin, Kailun Zhu, Qi Xuan, Yong Min

“…These features capture psychological signals in user interactions—specifically, the patterns where controversial comments generate disproportionate replies or replies outperform parent comments in likes. …”
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Deep learning for rice leaf disease detection: A systematic literature review on emerging trends, methodologies and techniques by Chinna Gopi Simhadri, Hari Kishan Kondaveeti, Valli Kumari Vatsavayi, Alakananda Mitra, Preethi Ananthachari

“…Image processing techniques are used to extract features from diseased leaf images, such as the color, texture, vein patterns, and shape of lesions. …”
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Spatial Heterogeneity and Temporal Stability of Baseflow Stream Chemistry in an Urban Watershed by Claire Welty, Joel Moore, Daniel J. Bain, Mahdad Talebpour, John T. Kemper, Peter M. Groffman, Jonathan M. Duncan

“…Longitudinal spatial patterns differed across constituents for each survey, but the pattern for each constituent varied little across synoptics. …”
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Pulmonary arterial hypertension in systemic lupus erythematosus: identification of risk factors and haemodynamics characteristics in a multicentre retrospective cohort by Carlo Alberto Scirè, Alessandra Bortoluzzi, Micaela Fredi, Matthias Schneider, Veronica Codullo, Carlomaurizio Montecucco, Alain Meyer, Ilaria Cavazzana, Lorenzo Cavagna, Franco Franceschini, Andreas Schwarting, Konstantinos Triantafyllias, Gamal Chehab, Christina Düsing, Jutta Richter, Ettore Silvagni, Oliver Sander, Giovanni Zanframundo, Claudia Bracaglia, Matthieu Canuet, Stefano Ghio, Rebecca Fischer, Emiliano Marasco, Sezgin Sahin, Lisa Keller, Marianne Riou, Stefanie Keymel

“…Objectives The aim of our work was to identify specific patterns in clinical features and nailfold capillary changes that may help in screening for pulmonary arterial hypertension (PAH) in patients with systemic lupus erythematosus (SLE).Methods We identified patients with SLE and type I PAH (n=20) without other connective tissue diseases and collected demographic, clinical and laboratory features. …”
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