Remote-sensing technology in mapping socio-economic divergence of Europe by Mikhaylov Andrey, Mikhaylova Anna, Alsynbaev Kamil, Bryksin Vitaliy, Hvaley Dmitry

“…The coastalisation effect remains one of the defining factors of regional development around the globe and is projected to strengthen over the next quarter century. …”
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NK‐type large granular lymphocyte leukemia comes of age by Gianpietro Semenzato, Antonella Teramo, Gregorio Barilà, Giulia Calabretto, Elisa Rampazzo, Elena Buson, Renato Zambello

“…Patients with NK‐LGLL typically present with an expansion of mature NK cells displaying large granular lymphocyte morphology, a restricted killer Immunoglobulin‐like receptor pattern and genetic lesions, including TET2, CCL22, and STAT3 mutations. …”
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A Novel Technique for Facial Recognition Based on the GSO-CNN Deep Learning Algorithm by Rana H. Al-Abboodi, Ayad A. Al-Ani

“…The necessary features are selected using the gray level co-occurrence matrix (GLCM), which separates the statistical texture features. …”
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SUMOylation-related genes define prognostic subtypes in stomach adenocarcinoma: integrating single-cell analysis and machine learning analyses by Kaiping Luo, Kaiping Luo, Donghui Xing, Donghui Xing, Xiang He, Yixin Zhai, Yanan Jiang, Hongjie Zhan, Zhigang Zhao

“…A SUMOylation Risk Score (SRS) model was developed using 69 machine learning models across 10 algorithms, with performance evaluated by C-index and AUC. …”
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Optical Fiber Vibration Signal Recognition Based on the EMD Algorithm and CNN-LSTM by Kun Li, Yao Zhen, Peng Li, Xinyue Hu, Lixia Yang

“…This method successfully addresses the challenge of φ-OTDR pattern recognition and provides valuable insights for the development of practical engineering products.…”
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Multifractal based topological characterization of perovskite crystal and predictive analysis on its physical properties by K. Yogalakshmi, D. Easwaramoorthy

“…Therefore, GFD aids to understand how the fractal nature, connectivity, and branching of the crystal affect its properties in the growth pattern of the CaTiO3 crystal structure.…”
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DIET OF YOUNG PEOPLE WITH PREDIABETES by Наталья Васильевна Тапешкина, Наталья Сергеевна Алексеева, Сергей Николаевич Филимонов

“…The presence of bad habits, lifestyle features, motor activity and diet was assessed according to a specially developed questionnaire. …”
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Experimental Study on Circulation Cooling in Novel Diaphragm Compressor by Yang Qiaoming, Wang Gaofeng, Zhao Zhaorui

“…To promote the development of hydrogen fuel cells, this paper designs a new diaphragm compressor that features diaphragm head wrap-around cooling. …”
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The non-utilitarian objects from the initial Upper Paleolithic Ushbulak site in eastern Kazakhstan by Lidiya V. Zotkina, Anton A. Anoykin, Vladimir M. Kharevich, Galina D. Pavlenok

“…In northern Central Asia this process is illustrated by the appearance and distribution of personal ornaments (pendants, beads, patterned items), as well as by evidence for the use of natural pigments and ritual activities. …”

Numerical Simulation and Experimental Studies of Karst Caves Collapse Mechanism in Fractured-Vuggy Reservoirs by Liwen Guo, Shuoliang Wang, Liming Sun, Zhihong Kang, Chenjun Zhao

“…Karst cave collapse usually occurs during the process of drilling and reservoir development. Karst cave collapse increases drilling risk and seriously affects oil production. …”
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A Hypoxia-Related lncRNA Signature Correlates with Survival and Tumor Microenvironment in Colorectal Cancer by Xinyang Zhong, Xuefeng He, Yaxian Wang, Zijuan Hu, Deshui Yu, Huixia Huang, Senlin Zhao, Ping Wei, Dawei Li

“…However, the role of hypoxia-related lncRNAs (HRLs) in colorectal cancer (CRC) development remains largely unknown. Herein, we developed a hypoxia-related lncRNA signature to predict patients’ survival and immune infiltration. …”
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Adaptive electricity consumption forecasting approach for universal environments by Shiqi Zhou, Saisai Ni, Yifeng Han, Zhekang Dong, Chun Sing Lai

“…Our model incorporates a joint loss function combining point and probability forecasting evaluations to accurately quantify online batch errors. It also features a buffer to store batch data showing pattern changes and dynamically adjusts weights to counteract concept drift. …”
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Mitochondrial ROS and HIF-1α signaling mediate synaptic plasticity in the critical period. by Daniel Sobrido-Cameán, Bramwell Coulson, Michael Miller, Matthew C W Oswald, Tom Pettini, David M D Bailey, Richard A Baines, Matthias Landgraf

“…As developing networks transition from spontaneous irregular to patterned activity, they undergo plastic tuning phases, termed "critical periods"; "critical" because disturbances during these phases can lead to lasting changes in network development and output. …”
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Histological Grade, Tumor Breadth, and Hypertension Predict Early Recurrence in Pediatric Sarcoma: A LASSO-Regularized Micro-Cohort Study by Alexander Fiedler, Mehran Dadras, Marius Drysch, Sonja Verena Schmidt, Flemming Puscz, Felix Reinkemeier, Marcus Lehnhardt, Christoph Wallner

“…This exploratory study aimed to identify clinical features associated with first tumor recurrence using a machine learning approach tailored to low-event settings. …”
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An integrated machine learning and fractional calculus approach to predicting diabetes risk in women by David Amilo, Khadijeh Sadri, Evren Hincal, Muhammad Farman, Kottakkaran Sooppy Nisar, Mohamed Hafez

“…Complementing these data-driven insights, we develop a Caputo fractional-order model that captures the temporal dynamics of glucose-insulin regulation, BMI, and blood pressure. …”
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Prediction of crystalline structure evolution during solidification of aluminum at different cooling rates using a hybrid neural network model by Rafi B. Dastagir, Shorup Chanda, Farsia K. Chowdhury, Shahereen Chowdhury, K. Arafat Rahman

“…By combining the temporal pattern descriptors of LSTMs with the feature extraction potential of convolutional neural networks (CNN), the hybrid Conv1D-LSTM model achieves higher accuracy in predicting crystal structural evolution curves, in contrast to the performance of standalone LSTM and CNN models. …”
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Evaluation of polyester high-tenacity fabric and carbon nanotube reinforcements for improving flexural response in concrete beams by M. S. El-Feky, Amr H. Badawy, Khaled Mohamed Seddik, Sarah Yahia

“…This enhanced performance was credited to the development of multiple cracking patterns in the textile-reinforced panels. …”
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Dynamic Text Augmentation for Robust Sentiment Analysis: Enhancing Model Performance With EDA and Multi-Channel CNN by Komang Wahyu Trisna, Jinjie Huang, Yuanjian Chen, I Gede Juliana Eka Putra

“…The MCNN architecture effectively captures local patterns in text using multiple filter sizes, enabling comprehensive feature extraction with low computational overhead. …”
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Analyzing the Overturn of Roe v. Wade: A Term Co-Occurrence Network Analysis of YouTube Comments by Rodina Bizri-Baryak, Lana V. Ivanitskaya, Elina V. Erzikova, Gary L. Kreps

“…Wade, half of which featured physicians discussing public health implications. …”
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Russian President and local self-government: the evolution of relationships by M. Yu. Dityatkovsky

“…The paper examines the dynamics of the relationship between the Russian Presidents and local self-government, determines the five stages of the development of such relations and their characteristic features, as well as the prospects for these relations after the adoption of amendments to the Constitution of the Russian Federation in 2020.Stage 1. …”
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