Analysis of global stock market development-Integration of clustering, classification, and shapley values. by Marcin Stawarz

“…This study aims to analyze the development of global stock exchanges by integrating clustering, classification, and Shapley Values to identify growth patterns and understand the differences in market characteristics and dynamics. …”
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English-Learning Infants’ Developing Sound System Guides Their Early Word Learning by Suzanne Curtin, Susan A. Graham

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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

“…This research aimed at applying machine learning models to improve reliability in the development of social science courses. Lasso was considered a regression technique that selected relevant features for prediction but eliminated redundant features. …”
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Development of Batik Motifs using Symatrig Application to enhance productivity and competitiveness of SMEs by Dinda Kartika, Debi Yandra Niska, Fevi Rahmawati Suwanto, Sisti Nadia Amalia, Nurhasanah Siregar, Anita Talia, Fikri Syahputra

“…The application also has different motif development patterns to produce various batik motifs. …”
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Development of a deep learning system for predicting biochemical recurrence in prostate cancer by Lu Cao, Ruimin He, Ao Zhang, Lingmei Li, Wenfeng Cao, Ning Liu, Peisen Zhang

“…Finally, patient-level artificial intelligence models were developed by integrating deep learning -generated pathology features with several machine learning algorithms. …”
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POSITIVE INTERACTION IN AN INCLUSIVE EDUCATION: MANIFESTATION OF THE INTERNATIONAL CHILD DEVELOPMENT PROGRAMME (ICDP) by Farid Alamdar oglu Suleymanov

“…However, these interaction patterns are unprofessional and need development through relevant in-service trainings. …”
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Analyzing the Impact of Social Media on the Development of Personality Speech at Different Stages of Ontogenesis by Бутайна Абдул-Азез Аль-Нашаш, Абдель Рахман Мітіб Алтахіне

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Key experimental technologies and their development directions for the exploration and production of deep coalbed methane by Xia YAN, Fengyin XU, Xianyue XIONG, Feng WANG, Chunhu LI, Jiyuan ZHANG, Borui XU, Qianhui CHENG, Xiong HU, Xueguang ZHU, Wei LIANG, Pu YUAN, Yanqing FENG, Zhenji WEI

“…ProspectsThis study posits seven development directions for deep CBM production and in-situ coal conversion experiments: (1) Clear, direct observation techniques for micropores (< 2 nm) in deep coal seams with ultra-low porosity and permeability, full-scale pore size splicing technology for multiscale pore structure characterized by abundant micropores, a few mesopores, and many macropores, and assessment techniques for pore-fracture connectivity. (2) Isothermal adsorption test technologies for raw coals considering the effects of deep coal seam wettability, fracturing fluid invasion, and high total dissolved solids (TDS) under high-temperature, high-pressure in-situ conditions; (3) Sealed coring devices and in-situ pressure-retaining coring technologies featuring high pressure retaining success rates, heat preservation rates, and traceable gas volume. (4) Nanoscience-based assessment technologies for gas and water occurrence in micropores in deep coal seams under high-temperature and high-pressure multi-field coupling, and experimental technologies for desorption, diffusion, and seepage across nano-micro-millimeter scales. (5) Techniques for developing and testing multifunctional mechanical experiment equipment applicable to in-situ conditions of deep coal seams featuring high stress, low modulus of elasticity, and high Poisson's ratio. (6) Experimental techniques for the purpose of enhancing CBM recovery of deep coal seams, including reservoir stimulation (microwaves, laser, and electric heating), stimulation for permeability enhancement (electromagnetic pulses, pulsed ultrasonic waves, and controlled shockwaves), displacement via CO2 injection, and mechanical pulsation with supercritical CO2. (7) Experimental techniques for in-situ coal conversion and utilization, including pyrolysis, underground coal gasification (UCG), geothermal utilization, and CO2 geological storage. …”
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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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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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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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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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Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs by Xi Wang, Liang Zhou, David López-Carr, Yongze Song, Hong Gao, Tao Che, Zhifeng Liu, Wei Wei

“…However, few studies have focused on the complex dynamics, spatial patterns, and dominant factors of the coordination between urban grey and green spaces. …”
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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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