Fractal approach to geological and economic assessment of germanium-bearing lignites by O. I. Bilous, M. S. Burlutskyy

“…In such cases, fractal analysis is a novel tool that can accurately describe the self-organising structures of natural objects and reveal patterns in the spatial distribution of germanium content within coal-bearing strata. …”
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Evaluation of the Occurrence of Initial Failures from Stress Concentrators in Welded Joints and Structural Elements by K. А. Molokov, V. V. Novikov, M. Dabalez

“…The literature on the topic was analyzed. The features of proven physical models and patterns of behavior of materials were taken into account. …”
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Sensor-Based Monitoring Data from an Industrial System of Centrifugal Pumps by Angelo Martone, Alessia D’Ambrosio, Michele Ferrucci, Assuntina Cembalo, Gianpaolo Romano, Gaetano Zazzaro

“…<b>Conclusions</b>: This dataset supports advanced methodologies in feature extraction, multivariate signal analysis, unsupervised pattern discovery, vibration analysis, and the development of digital twins and soft sensing models for predictive maintenance optimization.…”
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The Role of Metaphorical and Ironic Structures in Representing Hidden Behavioral and Verbal Ideologies of Shahad Al-Rawi’s Novel The Baghdad Clock using Andrew Goatly’s Speech Act... by Ali sayadani, yazdan Heydarpour Marand

“…His view shows the significance of metaphorical patterns in linguistic contexts for shaping specific social ideologies and practices. …”
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Structural Fault Detection and Diagnosis for Combine Harvesters: A Critical Review by Haiyang Wang, Liyun Lao, Honglei Zhang, Zhong Tang, Pengfei Qian, Qi He

“…Subsequently, it details the core steps of data-driven methods, including the acquisition of operational data from various sensors (e.g., vibration, acoustic, strain), signal preprocessing methods, signal processing and feature extraction techniques covering time-domain, frequency-domain, time–frequency domain combination, and modal analysis among others, and the use of machine learning and artificial intelligence models for fault pattern learning and diagnosis. …”
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Exploring the potential of machine learning and magnetic resonance imaging in early stroke diagnosis: a bibliometric analysis (2004–2023) by Jian-cheng Lou, Xiao-fen Yu, Jian-jun Ying, Da-qiao Song, Wen-hua Xiong

“…“deep learning,” “magnetic resonance imaging,” and “stroke” emerged as the most attention-gathering keywords among researchers. The development in this field is marked by a coexisting pattern of interdisciplinary integration and refinement within major disciplinary branches.ConclusionThe application of machine learning in the early prediction and personalized medical plans for stroke patients using neuroimaging characteristics offers significant value. …”
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Variations in Global Soil Moisture During the Past Decades: Climate or Human Causes? by Yangxiaoyue Liu, Yaping Yang, Jia Song

“…Here, we investigate the evolutionary pattern of SM and then carry out an attribution analysis from climate and human perspectives. …”
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Spatial Characterization of Channeling in Sheared Rough‐Walled Fractures in the Transition to Nonlinear Fluid Flow by Robert Egert, Fabian Nitschke, Maziar Gholami Korzani, Thomas Kohl

“…In contrast, parallel to the shearing, a complex pattern of individual tortuous channels emerges, with flow occurring in 22% of the void space. …”
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Phonological category resolution: a study of handshapes in younger and older sign languages by Assaf Israel, Wendy Sandler

“…Our methodology measures the degree of cross-signer consensus with respect to each meaningless phonetic feature of handshape as well as the number of variants (indicating the range of variation), and reveals a consistent pattern across the three languages: The largest amount of variation is found in ABSL; ISL is next; and ASL shows the least amount of cross-signer variation in production of the handshape category. …”
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Permanent and seasonally specific surface heat island structure in urban and non-urban areas in mid-latitude polycentric agglomeration based on Landsat images by Aleksandra Renc, Ewa Łupikasza

“…Permanent non-urban SHI was scattered throughout the GZM without any clear pattern and covered only 0.4% of the entire GZM, and 75% of its area was covered by non-irrigated arable land and pastures. …”
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Computer-aided diagnosis of lung nodule classification between benign nodule, primary lung cancer, and metastatic lung cancer at different image size using deep convolutional neura... by Mizuho Nishio, Osamu Sugiyama, Masahiro Yakami, Syoko Ueno, Takeshi Kubo, Tomohiro Kuroda, Kaori Togashi

“…We developed a computer-aided diagnosis (CADx) method for classification between benign nodule, primary lung cancer, and metastatic lung cancer and evaluated the following: (i) the usefulness of the deep convolutional neural network (DCNN) for CADx of the ternary classification, compared with a conventional method (hand-crafted imaging feature plus machine learning), (ii) the effectiveness of transfer learning, and (iii) the effect of image size as the DCNN input. …”
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An Inverted Transformer Framework for Aviation Trajectory Prediction with Multi-Flight Mode Fusion by Gaoyong Lu, Yang Ou, Wei Li, Xinyu Zeng, Ziyang Zhang, Dongcheng Huang, Igor Kotenko

“…Moreover, the integration of multi-flight data enables the model to learn more comprehensive flight patterns, leading to robust performance across varying flight conditions. …”
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Home Occupant Archetypes by Marco Antonio ORTIZ SANCHEZ

“…Building upon the aim of this thesis, the following main research question was proposed: How can energy behaviours be studied from a comfort-driven perspective in order to facilitate the development of environmental features that support more efficient occupant behaviours and that provide the comfort needs of the person? …”
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Causes and Factors of Changes in Consumer Behavior by Larisa Moskovceva, Svetlana Yazykova, Irina Shaposhnikova, Alina Orlova

“…Digital technologies that thrived during the pandemic shaped a new vector and patterns of consumer behavior that developed as part of pre-COVID global trends and during the pandemic. …”
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High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixtu... by Minh Tri Le, Khuong H. Tran, Phuong D. Dao, Hesham El-Askary, Tuyen V. Ha, Taejin Park

“…Besides, the entropy comparison showed that our framework-based maps were better at capturing fine-scale features such as developed areas within cities that commonly mix with open space and vegetation, deforestation and cropland conversion in South America, smallholder croplands in Africa and Asia, and generating homogeneous crop fields in North America. …”
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Comprehensive Integrated Analysis Reveals the Spatiotemporal Microevolution of Cancer Cells in Patients with Bone-Metastatic Prostate Cancer by Yinghua Feng, Xiuli Zhang, Guangpeng Wang, Feiya Yang, Ruifang Li, Lu Yin, Dong Chen, Wenkuan Wang, Mingshuai Wang, Zhiyuan Hu, Yuan Sh, Nianzeng Xing

“…Notably, we identified a novel epithelial subpopulation, NEndoCs, characterized by unique differentiation patterns and distinct spatial distribution across metastatic niches. …”
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A Polysorbate-Based Lipid Nanoparticle Vaccine Formulation Induces In Vivo Immune Response Against SARS-CoV-2 by Aishwarya Saraswat, Alireza Nomani, Lin-Kin Yong, Jimmy Chun-Tien Kuo, Heather Brown, Muralikrishna Narayanareddygari, Avery Peace, Rizan Fazily, Timothy Blake, Christopher D. Petro, Bindhu Rayaprolu, Johanna Hansen, Amardeep Singh Bhalla, Mohammed Shameem

“…We hypothesized that substituting conventional linear PEG-lipids with PS-80, a widely used, biocompatible injectable surfactant featuring a branched PEG-like structure, may change the LNPs biodistribution pattern and enhance long-term stability. …”
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Machine Learning Model Coupled with Graphical User Interface for Predicting Mechanical Properties of Flax Fiber by T. Nageshkumar, Prateek Shrivastava, L. Ammayapan, Manisha Jagadale, L. K. Nayak, D. B. Shakyawar, Indran Suyambulingam, P. Senthamaraikannan, R. Kumar

“…In this study, a total of 432 patterns of input and output parameters obtained from laboratory experiments were used to develop machine learning algorithms (Random forest, support vector, and XGBoost). …”
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Label efficient phenotyping for Long COVID using electronic health records by Chuan Hong, Jun Wen, Harrison G. Zhang, Vidul Ayakulangara Panickan, Doris Y. Yang, Alicia W. Chen, Xin Xiong, Xuan Wang, Michele Morris, Sara Morini, Rahul Sangar, Andrew Dey, Malarkodi J. Samayamuthu, Katherine Liao, Clara-Lea Bonzel, Vidisha Tanukonda, Monika Maripuri, Jacqueline Honerlaw, Yuk-Lam Ho, Shyam Visweswaran, Isaac S. Kohane, Kelly Cho, Gabriel Brat, Zongqi Xia, Tianxi Cai

“…Our downstream analysis revealed a pattern of elevated healthcare utilization due to Long COVID, peaking at and continuing beyond the fourth month following COVID infection. …”
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Myo‐Guide: A Machine Learning‐Based Web Application for Neuromuscular Disease Diagnosis With MRI by Jose Verdu‐Diaz, Carla Bolano‐Díaz, Alejandro Gonzalez‐Chamorro, Sam Fitzsimmons, Jodi Warman‐Chardon, Goknur Selen Kocak, Debora Mucida‐Alvim, Ian C. Smith, John Vissing, Nanna Scharff Poulsen, Sushan Luo, Cristina Domínguez‐González, Laura Bermejo‐Guerrero, David Gomez‐Andres, Javier Sotoca, Anna Pichiecchio, Silvia Nicolosi, Mauro Monforte, Claudia Brogna, Eugenio Mercuri, Jorge Alfredo Bevilacqua, Jorge Díaz‐Jara, Benjamín Pizarro‐Galleguillos, Peter Krkoska, Jorge Alonso‐Pérez, Montse Olivé, Erik H. Niks, Hermien E. Kan, James Lilleker, Mark Roberts, Bianca Buchignani, Jinhong Shin, Florence Esselin, Emmanuelle Le Bars, Anne Marie Childs, Edoardo Malfatti, Anna Sarkozy, Luke Perry, Sniya Sudhakar, Edmar Zanoteli, Filipe Tupinamba Di Pace, Emma Matthews, Shahram Attarian, David Bendahan, Matteo Garibaldi, Laura Fionda, Alicia Alonso‐Jiménez, Robert Carlier, Ali Asghar Okhovat, Shahriar Nafissi, Atchayaram Nalini, Seena Vengalil, Kieren Hollingsworth, Chiara Marini‐Bettolo, Volker Straub, Giorgio Tasca, Jaume Bacardit, Jordi Díaz‐Manera, the Myo‐Guide Consortium

“…This study presents a novel multi‐study harmonization pipeline for muscle MRI and an AI‐driven diagnostic tool to assist clinicians in identifying disease‐specific muscle involvement patterns. Methods We developed a preprocessing pipeline to standardize MRI fat content across datasets, minimizing source bias. …”
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