Advancing wildfire prediction in Nepal using machine learning algorithms by Saugat Sapkota, Khagendra Prasad Joshi, Sajesh Kuikel, Dipesh Kuinkel, Biplov Bhandari, Yanhong Wu, Haijian Bing, Suresh Marahatta, Deepak Aryal, S-Y Simon Wang, Binod Pokharel

“…To improve wildfire prediction and preparedness, this study evaluated four advanced machine learning algorithms—Random Forest, Radial Basis Function Neural Network, Artificial Neural Network, and Support Vector Machine—using comprehensive dataset (2001–2023) of meteorological, topographical, anthropogenic, locational, and vegetation variables. …”
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Machine Learning Framework for Conotoxin Class and Molecular Target Prediction by Duc P. Truong, Lyman K. Monroe, Robert F. Williams, Hau B. Nguyen

“…Predicting the target receptors of conotoxins, based solely on their amino acid sequence, remains a challenge due to the intricate relationships between structure, function, target specificity, and the significant conformational heterogeneity observed in conotoxins with the same primary sequence. …”
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Do trilingual individuals exhibit an advantage over bilinguals in executive function tasks? by Jianlin Chen, Ci Jiang, Fang Liu

“…Consequently, this study seeks to explore whether Tibetan-Chinese-English trilinguals highly proficient in L2 Chinese and learning English as L3 demonstrate superior executive functions in comparison to Chinese-English bilinguals learning English as a foreign language. …”
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Defining Operational Equivalent of Classic and Combination-Information Mental Function of Prospective Science Teacher Knowledge of Electricity Procedural Knowledge Subject by Compa... by İsmail Yılmaz

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Downscaling of the surface temperature forecasts based on deep learning approaches by Guangdi Chen, Xiefei Zhi, Shuyan Ding, Gen Wang, Liqun Zhou, Dexuan Kong, Tao Xiang, Yanhe Zhu

“…In this work, a suitable loss function was set using the VGG network to help SRGAN better capture small‐scale details. …”
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CrackNet: A Hybrid Model for Crack Segmentation with Dynamic Loss Function by Yawen Fan, Zhengkai Hu, Qinxin Li, Yang Sun, Jianxin Chen, Quan Zhou

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Identification of novel markers for neuroblastoma immunoclustering using machine learning by Longguo Zhang, Longguo Zhang, Huixin Li, Huixin Li, Fangyan Sun, Fangyan Sun, Qiuping Wu, Qiuping Wu, Leigang Jin, Leigang Jin, Aimin Xu, Aimin Xu, Jiarui Chen, Ranyao Yang, Ranyao Yang, Ranyao Yang

“…Subsequently, the differences in clinicopathological characteristics and treatment between the different groups were examined. Three machine learning algorithms (LASSO, SVM-RFE, and Random Forest) were used to screen biomarkers and synthesize their function in neuroblastoma.ResultsIn the training set, there were 362 samples in the immunity_L group and 136 samples in the immunity_H group, with differences in age, MYCN status, etc. …”
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Application of machine learning in predicting adolescent Internet behavioral addiction by Yao Gan, Li Kuang, Xiao-Ming Xu, Ming Ai, Jing-Lan He, Wo Wang, Su Hong, Jian mei Chen, Jun Cao, Qi Zhang

“…ObjectiveTo explore the risk factors affecting adolescents’ Internet addiction behavior and build a prediction model for adolescents’ Internet addiction behavior based on machine learning algorithms.MethodsA total of 4461 high school students in Chongqing were selected using stratified cluster sampling, and questionnaires were administered. …”
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Anatomical pathways and functional implications of the rodent auditory system-basal ganglia interconnectivity by Ryohei Tomioka, Makoto Takemoto, Wen-Jie Song, Wen-Jie Song

“…Sound influences motor functions and sound perception is conversely modulated by locomotion. …”
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Neurocognitive function in HIV-infected patients: comparison of two methods to define impairment. by Alejandro Arenas-Pinto, Alan Winston, Wolfgang Stöhr, John Day, Rebecca Wiggins, Say Pheng Quah, Jonathan Ainsworth, Sue Fleck, David Dunn, Alex Accoroni, Nicholas I Paton, PIVOT Trial Team

“…Strong correlations between the two components of the HVLT-R test (learning/recall) (r = 0.73), and the CTT and (attention/executive functioning) (r = 0.66) were observed. …”
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A study of connectivity features analysis in brain function network for dementia recognition by Siying Li, Peng Wang, Zhenfeng Li, Lidong Du, Xianxiang Chen, Jie Sun, Libin Jiang, Gang Cheng, Zhen Fang

“…In this study, we construct a brain function network based on electroencephalography data to study changes in AD and MCI patients. …”
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An analysis of case particles and case functions in Japanese: A case grammar approach by Suraiya Mohd. Ali

“…It is based on a discussion on case forms and case functions that are discoverable through an examination of the theory of case grammar by Fillmore (1968). …”
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An analysis of case particles and case functions in Japanese: A case grammar approach by Suraiya Mohd. Ali

“…It is based on a discussion on case forms and case functions that are discoverable through an examination of the theory of case grammar by Fillmore (1968). …”
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An analysis of case particles and case functions in Japanese: A case grammar approach by Suraiya Mohd. Ali

“…It is based on a discussion on case forms and case functions that are discoverable through an examination of the theory of case grammar by Fillmore (1968). …”
Get full text

An analysis of case particles and case functions in Japanese: A case grammar approach by Suraiya Mohd. Ali

“…It is based on a discussion on case forms and case functions that are discoverable through an examination of the theory of case grammar by Fillmore (1968). …”
Get full text

Managing Cognitive Functions of Classical Dance Students: Classroom Environment and Pedagogical Conditions by Egor A. Alferov

“…Based on the applied character of the discipline, the educational space is a set of pedagogical conditions that implement sequences of functions, from cognitive to analytical and operational, that control and correct motor actions in the learning process. …”

Differential Item Functioning of Performance-Based Assessment in Mathematics for Senior High Schools by Abraham Gyamfi

“… The purpose of the study was to validate performance-based assessment in mathematics (Quantitative Reasoning) for Senior High Schools for Differential Item Functioning (DIF). The study sought to found out if the five-items on a newly developed performance-based assessment in mathematics (quantitative reasoning items) has DIF. …”
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RbfCon: Construct Radial Basis Function Neural Networks with Grammatical Evolution by Ioannis G. Tsoulos, Ioannis Varvaras, Vasileios Charilogis

“…Radial basis function networks are considered a machine learning tool that can be applied on a wide series of classification and regression problems proposed in various research topics of the modern world. …”
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ENHANCING PROSTHETIC FUNCTIONALITY: A NOVEL APPROACH WITH MYOELECTRIC BIONIC ARM DESIGN by Nivethitha B, Sriram V, Mukundha Krishnan B, Manimaran V

“…Machine learning algorithms improve signal interpretation accuracy, ensuring responsive and natural hand motion. …”
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Multi-Objective Clustering Based on Congestion Games With Player-Specific Cost Functions by Dalila Kessira, Mohand-Tahar Kechadi

“…As a central task in unsupervised learning, clustering aims to uncover the underlying structure of data by grouping similar instances without relying on predefined labels. …”
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