SPECIES COMPOSITION AND TERRITORIAL DISTRIBUTION OF BIRDS IN PIEDMONT DAGESTAN by E. V. Vilkov

“…Information on the following points was obtained for the first time: composition of bird species, their average abundance, residence status, faunal‐genetic structure, ecological pattern of the avifauna, as well as the features of territorial distribution of birds in Piedmont Dagestan.Methods. …”
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Genome-wide analysis of the BoBZR1 family genes and transcriptome analysis in Brassica oleracea by Muhammad Asad Ullah, Muhammad Hamza, Rozia Gull, Muhammad Shafiq, Abdul Wahid, Shahab Ahmad, Tayebeh Ahmadi, Mehdi Rahimi

“…The whole study involved systematic characterization of the BoBZR1 family, and expression patterns, in BR signaling and its extensive involvement in developmental processes in B. oleracea. …”
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EXPERIMENTAL METHODS OF EXPLORING MULTIMODAL DISCOURSE: CROSSMODAL ALIGNMENT by Mariya I. Kiose, Vadim O. Potekhin, Oleg D. Zubkov

“…The common research framework determines the patterns as modulated by discourse tasks. The study features the results of multimodal experiments with the participants engaged in three discourse tasks: 1) receptive, which presumes obtaining information from text and image stimuli; semiotic alignment patterns are identified indirectly via participants’ gaze response; 2) productive, in which the participants communicate the information in monological format; communicative alignment patterns are identified directly via their speech and gesture; 3) receptive-productive, which presupposes the participants perceive information visually and audially; alignment patterns are identified directly via participants’ gaze behavior contingent on the stimuli areas of interest and indirectly via their speech response. …”
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Research on seismic activity and seismic structural characteristics of the Shandong region by Linhai Lu, Zhenghao Liu, Hanwen Zhang, Chaojun Wu, Jiecheng Sun, Xianfeng Ma, Dingyi Zhou, Han Han, Haojin Zhang, Rui Li

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Review of Multivariate Time Series Clustering Algorithms by ZHENG Desheng, SUN Hanming, WANG Liyuan, DUAN Yaoxin, LI Xiaoyu

“…Clustering technique, as a core tool in data mining, can partition data into different clusters based on structural similarity, thereby uncovering the structure and internal relationships within data to discover systemic development patterns and variable correlations. Faced with the challenges such as the complexity of multivariate time series data structures, the interconnectivity between variables, and data high-dimensionality, a substantial amount of research has been conducted internationally. …”
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Grammatical Deviations in the Lesson Plans Among Bachelor of Secondary Education (BSED) English Students by Deo J. Galvez, Marie L. Celesio

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Developing an explainable deep learning module based on the LSTM framework for flood prediction by Zhi Zhang, Dagang Wang, Yiwen Mei, Jinxin Zhu, Xusha Xiao

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Development of biometric systems for passenger identification based on noise-resistant coding means by A. A. Gladkikh, A. K. Volkov, T. G. Ulasyuk

“…On the basis of the International Civil Aviation Organization (ICAO) recommendations, the procedure features of pattern recognition are presented. The versions to adopt the biometric passenger authentication procedures are under consideration. …”
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An Automated Method Inspired by Taxonomic Classification for Distinguishing Chilean Pelagic Fish Species by Vincenzo Caro Fuentes, Danny Luarte, Ariel Torres, Jorge E. Pezoa, Sebastian E. Godoy, Sergio N. Torres, Mauricio A. Urbina

“…Our method includes taxonomic analysis, exploiting geometric characteristics such as distances and angles between key body parts, segmenting patterned areas, and extracting texture features. Furthermore, we developed hierarchical classification models that employ a dichotomous key based on these key morphological traits to assess specific fish features such as size, shape, mouth orientation, and color patterns, simulating taxonomic classification. …”
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Branch Drift: A Visually Explainable Metric for Consistency Monitoring in Collaborative Software Development by Karl Kegel, Sebastian Gotz, Uwe Assmann

“…Modern software engineering uses branch-based workflows for collaborative development on a shared codebase. A branch may represent a task or feature within the responsibilities of a specific developer or team. …”
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Improvement of signal detection based on using machine learning by Bassam Abd

“…During the communication system development over the years, detecting and identifying the signal from the affected noise had the major role and the most attention from the researchers. …”
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Developing an explainable human action recognition system for academic environments: Enhancing educational interaction by Mustafa Basthikodi, Poornima B V

“…This study presents the development of an Explainable Human Action Recognition System tailored for academic environments, aiming to enhance educational interactions. …”
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Integrating CEUS Imaging Features and LI-RADS Classification for Postoperative Early Recurrence Prediction in Solitary Hepatocellular Carcinoma: A Machine Learning-Based Prognostic... by Liang L, Pang J, Zhang B, Que Q, Gao R, Wu Y, Peng J, Zhang W, Bai X, Wen R, He Y, Yang H

“…Model performance was evaluated using the concordance index (C-index), area under the curve (AUC), calibration curves, decision curve analysis (DCA), and Kaplan–Meier (KM) survival analysis.Results: Five significant features identified by univariate Cox regression were included in model development: microvascular invasion (MVI), tumor size, LI-RADS classification, tumor necrosis, and arterial enhancement patterns. …”
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K-Means Clustering and Classification of Breast Cancer Images Using Histogram of Oriented Gradients Features and Convolutional Neural Network Models: Diagnostic Image Analysis Stud... by Said Salloum

“…The proposed hybrid method included three stages: (1) unsupervised clustering using K-means to group visually similar features; (2) feature extraction using Histogram of Oriented Gradients (HOG) to capture texture and shape patterns; and (3) classification using a CNN trained on the extracted features. …”
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Discriminatively Constrained Semi-Supervised Multi-View Nonnegative Matrix Factorization with Graph Regularization by Guosheng Cui, Ye Li, Jianzhong Li, Jianping Fan

“…Nonnegative Matrix Factorization (NMF) is one of the most popular feature learning technologies in the field of machine learning and pattern recognition. …”
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A Study on CNN-Based and Handcrafted Extraction Methods with Machine Learning for Automated Classification of Breast Tumors from Ultrasound Images by Mohamed Benaouali, Mohamed Bentoumi, Mansour Abed, Malika Mimi, Abdelmalik Taleb-Ahmed

“…We evaluated our approach using four openly available datasets and investigated two categories of feature extraction methods: handcrafted methods (Local Binary Pattern (LBP), Histogram of Oriented Gradients (HOG)) and methods based on convolutional neural network (CNN) models. …”
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Clinicopathologic characteristics and predictive nomogram of skip lymph node metastasis in gastric cancer by Xinwei Zhang, Yuwei Du, Yuegang Li, Chi Xue, Zhi Zhu

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Development of an Integrated System of sEMG Signal Acquisition, Processing, and Analysis with AI Techniques by Filippo Laganà, Danilo Pratticò, Giovanni Angiulli, Giuseppe Oliva, Salvatore A. Pullano, Mario Versaci, Fabio La Foresta

“…The system analyzes sEMG signals to understand muscle function and neuromuscular control, employing convolutional neural networks (CNNs) for pattern recognition. The electrical signals analyzed on healthy and unhealthy subjects are acquired using a meticulously developed integrated circuit system featuring biopotential acquisition electrodes. …”
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Coccolithophore Assemblage Dynamics and <i>Emiliania huxleyi</i> Morphological Patterns During Three Sampling Campaigns Between 2017 and 2019 in the South Aegean Sea (Greece, NE Me... by Patrick James F. Penales, Elisavet Skampa, Margarita D. Dimiza, Constantine Parinos, Dimitris Velaoras, Alexandra Pavlidou, Elisa Malinverno, Alexandra Gogou, Maria V. Triantaphyllou

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The Technical Development of a Prototype Lower-Limb Therapy Device for Bed-Resting Users by Juan Fang, Adrien Cerrito, Simón Gamero Schertenleib, Patrick von Raumer, Kai-Uwe Schmitt

“…The aim of this work was to develop and evaluate the usability of a prototype in-bed lower-limb therapy device that offers various training patterns for the feet and legs, featuring an intuitive user interface and interactive exergames. …”
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