A new method for determining factors Influencing productivity of deep coalbed methane vertical cluster wells by HUANG Li, XIONG Xianyue, WANG Feng, SUN Xiongwei, ZHANG Yixin, ZHAO Longmei, SHI Shi, ZHANG Wen, ZHAO Haoyang, JI Liang, DENG Lin

“…Predictions using the neural network method were more accurate, with a relative error of less than 10% compared to measured values. 2） Using Kendall's tau-b correlation analysis, the discrete dominant factor was identified as the microstructural position, primarily located in uplifted positive structural zones, with the secondary factor being fracture development, categorized mainly as “well-developed” or “developed.” 3） By combining lasso regression-random forest- decision tree algorithm to iteratively eliminate irrelevant factors, the continuous dominant factors influencing productivity were ranked in descending order as: ash content, average construction discharge rate, total sand volume pumped, flowback rate at gas breakthrough, net pay thickness, acoustic travel time, gamma ray log value, average construction pressure, percentage of 100-mesh sand, and average gas measurement value. …”
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Topography Effects on Microwave Emission Transmission of Snowpack and Snow Depth Retrieval by L. Dai, T. Che, Z. Hu

“…Advancements in snow depth retrieval from passive microwave remote sensing data have mainly focused on influence of varying snow characteristics and forests, while neglecting the complicated mountainous terrain. …”
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Utilizing bioinformatics and machine learning to identify CXCR4 gene-related therapeutic targets in diabetic foot ulcers by Hengyan Zhang, Ye Zhou, Heguo Yan, Changxing Huang, Licong Yang, Yangwen Liu

“…Feature selection methods such as LASSO, SVM-RFE and random forest algorithm were applied to localize possible therapeutic target genes. …”
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Climate change impact on the distribution and priority areas for conservation of Sterculia setigera Delile in Benin, West Africa by Rissicath Foumilayo Djaboutou, Séverin Biaou, Gérard Nounagnon Gouwakinnou, Christine A. I. Nougbodé Ouinsavi

“…To address these questions, we subjected each subgroup to species distribution modeling (SDM) using the maximum entropy algorithm (MaxEnt). This approach was applied under Shared Socioeconomic Pathways (SSP 2–4.5) and SSP 5–8.5 climate scenarios. …”
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Miniinvasive paracentetic drain surgical interventions under ultrasonic control concerning liquid formations of abdominal cavity by G.I. Ohrimenko, N.G. Golovko, V.A. Grushka, Y.I. Gaidarzhi

“…Empiric antibacterial therapy in case of liver abscess before the result of bacterial analysis, must be based on the use of wide spectrum antibiotics, mainly carbapenems and cephalosporin of IV generation.…”
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Application of Enhanced Weighted Least Squares with Dark Background Image Fusion for Inhomogeneity Noise Removal in Brain Tumor Hyperspectral Images by Jiayue Yan, Chenglong Tao, Yuan Wang, Jian Du, Meijie Qi, Zhoufeng Zhang, Bingliang Hu

“…The inhomogeneity of spectral pixel response is an unavoidable phenomenon in hyperspectral imaging, which is mainly manifested by the existence of inhomogeneity banding noise in the acquired hyperspectral data. …”
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Integrating Bulk RNA and Single-Cell Sequencing Data Reveals Genes Related to Energy Metabolism and Efferocytosis in Lumbar Disc Herniation by Lianjun Yang, Jinxiang Li, Zhifei Cui, Lihua Huang, Tao Chen, Xiang Liu, Hai Lu

“…The functions of the hub genes were validated by RT-qPCR. The CIBERSORT algorithm was used to compare immune infiltration between LDH and Control groups. …”
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Design and Implementation of Non-Invasive Hemodynamic Monitoring System Based on Impedance Cardiogram Method by Fuhao KANG, Qi YIN, Yanan LIU, Lin HUANG, Yan HANG, Jilun YE, Xu ZHANG

“…This paper designs a non-invasive hemodynamic monitoring system based on the impedance cardiography, including hardware, algorithm, software design, and performance parameter evaluation. …”
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Digital literacy curriculum transformation to overcome filter bubble in Pancasila character understanding by A. Achdyat, Dasim Budimansyah, Encep Syarif Nurdin, Mupid Hidayat

“…The results show that the bubble filter phenomenon on social media affects the way individuals access and understand information, mainly because algorithms tend to present content that matches personal preferences, thus limiting exposure to alternative perspectives. …”
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Hybrid machine learning and regression framework for automated phase classification and quantification in SEM images of commercial steels by Pavan Hiremath, Krishnamurthy D. Ambiger, Shilpa Suresh, Ranjan Kumar Ghadai, Ramakrishna Vikas Sadanand, G. Divya Deepak

“…Images were segmented using the SLIC algorithm into 64 × 64 patches, from which six Gray Level Co-occurrence Matrix (GLCM) features were extracted: contrast, correlation, energy, homogeneity, dissimilarity, and angular second moment (ASM). …”
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Seasonal optimization of solar PV tilt angles for enhanced energy efficiency in Rajasthan, India by Saaransh Choudhary, Shiv Lal, Sumit Verma

“…The maximum solar radiance mainly depends on latitudes and optimal tilt angle. …”
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Identification and validation of hub genes associated with biotic and abiotic stresses by modular gene co-expression analysis in Oryza sativa L. by Izreen Izzati Razalli, Muhammad-Redha Abdullah-Zawawi, Rabiatul Adawiah Zainal Abidin, Sarahani Harun, Muhamad Hafiz Che Othman, Ismanizan Ismail, Zamri Zainal

“…For the tungro virus and blast pathogen, enrichment was mainly observed in the defence and stress responses. …”
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Real-World Parkinson’s Hand Tremor Detection Using Ensemble Learning Techniques by Sungwook Hur, Jieming Zhang, Moon-Hyun Kim, Tai-Myoung Chung

“…Conventional tremor detection methods have mainly focused on resting state. However, resting tremor is not always sufficient to accurately distinguish PD tremor from other tremor disorders such as essential tremor. …”
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Electric Power Consumption Forecasting Models and Spatio-Temporal Dynamic Analysis of China’s Mega-City Agglomerations Based on Low-Light Remote Sensing Imagery Incorporating Socia... by Cuiting Li, Dongmei Yan, Shuo Chen, Jun Yan, Wanrong Wu, Xiaowei Wang

“…Utilizing 2017–2021 NPP/VIIRS low-light remote sensing imagery to extract total nighttime light data, this study proposed an EPC prediction method based on the K-Means clustering algorithm combined with multiple indicators integrated with socio-economic factors. …”
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Assessment of Cognitive Function with Sleep Spindle Characteristics in Adults with Epilepsy by Yajin Huang, Yaqing Liu, Wenjun Song, Yanjun Liu, Xiaoqian Wang, Juping Han, Jiang Ye, Hongmei Han, Li Wang, Juan Li, Tiancheng Wang

“…Spindle characteristics during N2 sleep were extracted using a learning-based system for sleep staging and an automated spindle detection algorithm. We investigated the difference between cognitive subgroups in spindle characteristics. …”
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Cross-Project Defect Prediction Using Transfer Learning with Long Short-Term Memory Networks by Hongwei Tao, Lianyou Fu, Qiaoling Cao, Xiaoxu Niu, Haoran Chen, Songtao Shang, Yang Xian

“…The classic CPDP methods mainly concentrated on applying metric features to predict defects. …”
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On the electron agyrotropy during rapid asymmetric magnetic island coalescence in presence of a guide field by E. Cazzola, M. E. Innocenti, M. V. Goldman, D. L. Newman, S. Markidis, G. Lapenta

“…In a previous study, three main domains were identified, in the case without guide field, as X, D, and M regions featuring different reconnection evolutions. …”
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scAMZI: attention-based deep autoencoder with zero-inflated layer for clustering scRNA-seq data by Lin Yuan, Zhijie Xu, Boyuan Meng, Lan Ye

“…Abstract Background Clustering scRNA-seq data plays a vital role in scRNA-seq data analysis and downstream analyses. Many computational methods have been proposed and achieved remarkable results. …”
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A Systematic Literature Review on the Application of Machine Learning for Predicting Stunting Prevalence in Indonesia (2020–2024) by Emilda Indrisari, Hidayat Febiansyah, Bambang Adiwinoto

“…The analysis focused on the algorithms used, data types, model performance, and implementation challenges. …”
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Data acquisition of exercise and fitness pressure measurement based on artificial intelligence technology by Ru Liu, Wenxi Shen

“…The IPM-EFPM system gathers data from wearable sensors, uses real-time location systems, and employs artificial intelligence's Long Short-Term Memory (LSTM) and machine learning algorithms to uncover new insights in healthcare and sports. …”
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