Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

“…The controlling factors for abrasion were developed based on geometric and hydraulic features. …”
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Expression analysis of glutathione S-transferase genes in Lasioderma serricorne (Coleoptera: Anobiidae) subjected to CO₂-enriched atmosphere by XU Kangkang, DING Tianbo, YAN Yi, LI Can, YANG Wenjia

“…Temporal expression profile revealed that all the three GSTs genes were constitutively expressed in the testing stages, exhibited similar developmental expression patterns, with the highest expression level measured in the early larval stage. …”
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Predicting High-Grade Patterns in Stage I Solid Lung Adenocarcinoma: A Study of 371 Patients Using Refined Radiomics and Deep Learning-Guided CatBoost Classifier by Hong Zheng MS, Wei Chen MS, Jun Liu MD, Lian Jian MD, Tao Luo BS, Xiaoping Yu MD

“…Introduction This study aimed to devise a diagnostic algorithm, termed the Refined Radiomics and Deep Learning Features-Guided CatBoost Classifier (RRDLC-Classifier), and evaluate its efficacy in predicting pathological high-grade patterns in patients diagnosed with clinical stage I solid lung adenocarcinoma (LADC). …”
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Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China by Man Wei, Tai Huang

“…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

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TRILINGUALISM AS AN OPTIMISING EDUCATIONAL FACTOR OF MASTERING A SECOND FOREIGN LANGUAGE WITHIN THE FORMAT OF COMPETENCE-BASED APPROACH by A. Likhacheva, T. Lomteva

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End-to-end handwritten Ge’ez multiple numerals recognition using deep learning by Ruchika Malhotra, Maru Tesfaye Addis

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Deep Residual Transfer Ensemble Model for mRNA Gene-Expression-Based Breast Cancer by Job Prasanth Kumar Chinta Kunta, Vijayalakshmi A. Lepakshi

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Identification, characterization and expression analysis of the CDPK family in kelp Saccharina japonica by Minghui Sun, Zihan Gai, Xiufeng Zhou, Cailing Yi, Linan Zhang

“…Some SjCDPKs possessed unique structural features and clustered into a specific group. Gene duplication and synteny analysis revealed CDPKs in brown algae are evolutionarily conserved and their evolution exhibits a relatively stable pattern. …”
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RGB-based machine vision for enhanced pig disease symptoms monitoring and health management: a review by Md Nasim Reza, Kyu-Ho Lee, Eliezel Habineza, Samsuzzaman, Hyunjin Kyoung, Young Kyoung Choi, Gookhwan Kim, Sun-Ok Chung

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ADAPTIVE VISION AI by V. Vodyanitskyi, V. Yuskovych-Zhukovska

“…Computer vision technologies rely on pattern recognition, machine learning, and neural networks to allow computers to break down images, interpret data, and identify features. …”
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The <i>g</i>-Strained EPR Line Shape of Transition-Ion Complexes and Metalloproteins: Four Decades of Misunderstanding and Its Consequences by Wilfred R. Hagen

“…Forty years ago, the theoretically and experimentally well-founded statistical theory of <i>g</i>-strain was developed as a prime model for EPR powder patterns. …”
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Influence of the South Asian High and Western Pacific Subtropical High Pressure Systems on the Risk of Heat Stroke in Japan by Takehiro Morioka, Kenta Tamura, Tomonori Sato

“…Therefore, understanding weather patterns, along with their impacts on human health, is critically important for developing effective public health measures. …”
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Determination of fracture mechanics parameters on a base of local displacement measurements by Yu. G. Matvienko, V.S. Pisarev, S. I. Eleonsky

“…A determination of initial experimental data at the nearest vicinity of notch tip is the main feature of the developed approach. That is why it is not necessary to involve complex numerical models, which include global geometrical parameters, loading and boundary conditions of the object under study, in a stage of experimental data interpretation. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 3; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Methods We used museum specimens to examine the anatomical plan underlying feather development responsible for the train’s symmetry. We developed a model based on an alternate arrangement of primordial feather buds during development and locations of concentric circles of eyespot distribution using the pattern on the train as a template. …”
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A long tail of truth and beauty: A zigzag pattern of feather formation determines the symmetry, complexity, and beauty of the peacock’s tail [version 2; peer review: 1 approved, 2... by Santosh Jagadeeshan, Rama Singh

“…Methods We used museum specimens to examine the anatomical plan underlying feather development responsible for the train’s symmetry. We developed a model based on an alternate arrangement of primordial feather buds during development and locations of concentric circles of eyespot distribution using the pattern on the train as a template. …”
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Genome-Wide Analysis of the Multidrug and Toxic Compound Extrusion Gene Family in the Tea Plant by Tao Xie, Yumei Qian, Deyan Wang, Xiadong Yan, Ying Jiang, Min Li, Hao Rong, Tao Xia

“…In general, we analyzed the evolutionary relationships, intron–exon structure, distribution in chromosomes, conserved domains, and gene expression patterns in different tissues and stresses of the <i>CsMATE</i> gene family. …”
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Travel Frequent-Route Identification Based on the Snake Algorithm Using License Plate Recognition Data by Feiyang Liu, Jie Zeng, Jinjun Tang, TianJian Yu

“…Path flow always plays a critical role in extracting vehicle travel patterns and reflecting network-scale traffic features. …”
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Toward a Recognition System for Mexican Sign Language: Arm Movement Detection by Gabriela Hilario-Acuapan, Keny Ordaz-Hernández, Mario Castelán, Ismael Lopez-Juarez

“…This paper focuses on the AM features and reports the approach created to analyze visual patterns in arm joint movements (wrists, shoulders, and elbows). …”
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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…For real-time tracking and locomotion pattern analysis, RpiBeh utilizes several novel algorithms and integrated newly developed deep-learning method. …”
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