Cloud-based configurable data stream processing architecture in rural economic development by Haohao Chen, Fadi Al-Turjman

“…Initially, the model employs a 1D-CNN for feature extraction, followed by GRUs to capture temporal patterns in the data. …”
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Relationships between vegetation indices and surface reflectance: Implications for detecting and monitoring sandification in arid regions by Yifan Yue, Wenzhi Zhao, Rentao Liu

“…The regional sandification patterning revealed a distinct “transformation-differentiation” dimension in 2000–2023. …”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…Traditional measures fail to fully capture the risks associated with a child’s development outcomes. Artificial intelligence techniques, particularly machine learning (ML), offer an innovative approach by analysing complex datasets to detect subtle developmental patterns.Objective To map the existing literature on the use of ML in ECD research, including its geographical distribution, to identify research gaps and inform future directions. …”
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A Review on Transformer-Based Methods for Human Activity Recognition by Fatemeh Sadat Lasani, Ronak Fatahi

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The Role of Annealing Treatment on Crystallographic, Optical, and Electrical Features of Bi2O3 Thin Films Prepared Using Reactive Plasma Sputtering Technology by Sabeeha A. J. Beden, Hassan A. Dumboos, Mustafa K. Ismael, Mohanad Kadhim Mejbel

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Development of empirical anti-inflammatory diet index: a cross-sectional study by Joanna Kaluza, Lisa Hellerström, Daniel Kaluza, Abbas Chabok, Agneta Åkesson, Karl Michaëlsson, Alicja Wolk

“…Dietary intake was assessed using a food frequency questionnaire. The eADI was developed in a randomly chosen Discovery group (n = 2,216) using a 10-fold feature selection with filtering (based on Lasso regression) to select food groups most correlated with inflammatory biomarkers. …”
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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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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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DTC-m6Am: A Framework for Recognizing N6,2′-O-dimethyladenosine Sites in Unbalanced Classification Patterns Based on DenseNet and Attention Mechanisms by Hui Huang, Fenglin Zhou, Jianhua Jia, Huachun Zhang

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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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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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English-Learning Infants’ Developing Sound System Guides Their Early Word Learning by Suzanne Curtin, Susan A. Graham

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Development of the Regional Carbon Cycle Model in the Central Pacific Sector of the Southern Ocean by Takamitsu Ito

“…Abstract This study develops a new regional model of the Southern Ocean including an improved representation of the iron biogeochemistry and ecosystem component, nesting within a biogeochemical ocean state estimate, and benchmarking with a suite of observations. …”
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Development of a Wideband and High Gain ESIW H-plane Horn Antenna by Seyd Hossein Haghirosadat, Mohammad Neshati

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Static Pakistani Sign Language Classification using Support Vector Machine by Shaheer Mirza, Sheikh Muhammad Munaf, Shahid Ali, Muhammad Asif

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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 AND EVALUATION OF BIOADHESIVE MUCOSAL DOSAGE FORMS OF PILOCARPINE HCL FOR XEROSTOMIA THERAPY by Özlem Akbal Dağıstan, Nur Sena Başarır, Sinem Yaprak Karavana, Ayça Yıldız Peköz

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Identification of Exposed Submarine Cable Status based on Optimized VMD-GAF-MCNN for Multi Sensor Fusion by WANG Wei, WANG Wendong, YOU Peng, XIAO Zexin, AN Bowen, CUI Guiyan

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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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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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