Rainfall Prediction based on Historical Weather Data using Naive Bayes Classification Model in Southeast Sulawesi by Ayustina Samudin, Rizal Adi Saputra, Fabelina Agsaria, Nurendro Hardjo Judanto, Ade Syifa Badarudin

“…Southeast Sulawesi is one of the provinces in Indonesia characterized by diverse topography and climate, making it challenging to accurately identify and predict rainfall patterns. The aim of this study is to enhance our understanding of weather behavior in Southeast Sulawesi and provide a foundation for developing more advanced and region-specific weather prediction methods. …”
Get full text

General and Specific Problems of the Formation of Intellectual Operations in Younger Schoolchildren with Learning Difficulties by A.I. Andriashina, L.A. Tishina

“…Understanding these general and specific features is necessary to organize a personalized approach to correction and education of children with impaired development, which determines the relevance of the study. …”
Get full text

Visual design element recognition of garment based on multi-view image fusion by Meng Fanyu

“…This clothing style recognition aids in predicting clothes' features and patterns, which aids in classifying them using efficient feature extraction and classification models such as Convolutional Neural Network (CNN). …”
Get full text

Forecasting the number of rural migrant workers in Chongqing using the optimized grey N_Verhulst model by Dai Liu, Chengxiang He, Jianlong Ma

Get full text

Collaborative Music Learning : Utilizing n-Track Application in Private Music Education by Piter Sembiring, Yudi Sukmayadi, Ayo Sunaryo

“…The findings indicate that n-Track enhances student engagement, supports independent practice, and improves teacher-student interaction efficiency. Key features such as multitrack recording, MIDI sequencing, and real-time feedback facilitate structured musical arrangements and instrumental skill development. …”
Get full text

How artificial intelligence reduces human bias in diagnostics? by Artur Luczak

“…DNNs excel in processing complex, high-dimensional data, allowing for the detection of subtle behavioral patterns critical for diagnosing neurological disorders such as Parkinson's disease, strokes, or spinal cord injuries. …”
Get full text

Craniofacial Pain: Brainstem Mechanisms by Barry J Sessle

“…These extensive convergent input patterns also appear to be important factors in pain spread and referral, and in central mechanisms underlying neuroplastic changes in V neuronal properties that may occur with injury and inflammation. …”
Get full text

Social Work in Cybersecurity by Samah Monammed Albargi

“…The modern cyberspace features complex and highly evolving threats against users and particular vulnerable groups, such as youths and children. …”
Get full text

Exploring the decentralized science ecosystem: insights on organizational structures, technologies, and funding by Francisco Díaz, Carolina Menchaca, Lukas Weidener

“…By identifying key patterns and areas for improvement, this study contributes to a deeper understanding of the factors driving success and sustainability in DeSci.…”
Get full text

Federated-Learning-Based Strategy for Enhancing Orbit Prediction of Satellites by Jiayi Tang, Wenxin Li, Qinchen Zhao, Hongmei Chi

“…Each satellite uses a Convolutional Neural Network (CNN) model to extract features from historical prediction error data. The server optimizes the global model through the Federated Averaging algorithm, learning more orbital patterns and enhancing accuracy. …”
Get full text

CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

“…The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017, CIC-UNSW-NB15, CSE-CIC-IDS2018, CIC-BoT-IoT, Distrinet-CIC-IDS2017, and NF-UQ-NIDS. …”
Get full text

Quantification and Evolution of Online Public Opinion Heat Considering Interactive Behavior and Emotional Conflict by Zhengyi Sun, Deyao Wang, Zhaohui Li

“…Subsequently, we used Hodrick–Prescott filter to separate long-term trends and short-term fluctuations, extract six key quantitative features (number of peaks, time of first peak, maximum amplitude, decay time, peak emotional conflict, and overall duration), and applied K-means clustering algorithm (K-means) to classify events into three propagation patterns, which are extreme burst, normal burst, and long-tail. …”
Get full text

Language Feminisation in Sociopolitical Space of Russia and France by L. A. Ulianitckaia

“…The paper reviews dynamics of language feminisation and inclusive writing emergence in the context of social change in Russia and France, identification of common patterns for the languages of the countries, adaptation difficulties of new elaborated spelling and punctuation rules, as well as indentification of sources of resistance to gender reforms in languages considered. …”
Get full text

BCTDNet: Building Change-Type Detection Networks with the Segment Anything Model in Remote Sensing Images by Wei Zhang, Jinsong Li, Shuaipeng Wang, Jianhua Wan

“…We first construct a dual-feature interaction encoder that employs SAM to extract image features, which are then refined through trainable multi-scale adapters for learning architectural structures and semantic patterns. …”
Get full text

Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

“…A review of current literature deepens the understanding of age-related characteristics, differences, and patterns in gliomagenesis across age groups, which is essential for effective diagnosis and treatment. …”
Get full text

Topic modeling analysis of the Allen Human Brain Atlas by Letizia Pizzini, Filippo Valle, Matteo Osella, Michele Caselle

“…It is composed of many regions that exhibit specific distributions of cell types and distinct patterns of functional connections. This complexity is rooted in differential transcription. …”
Get full text

Ependymosarcoma presenting as recurrence in a primary left parieto-occipital ependymoma by Pallavi Prasad, Harshita Baranwal, Neelima Gupta

“…Gliosarcoma is described as a variant of IDH-wildtype glioblastoma, comprising a biphasic tissue pattern with alternating areas displaying glial and mesenchymal differentiation. …”
Get full text

Comparative evaluation of machine learning models for extreme river water level forecasting in Bangladesh: Implications for flood and drought resilience by Md Touhidul Islam, Sujan Chandra Roy, Nusrat Jahan, Al-Mahmud, Md Mazharul Islam, Abdullah Al Ferdaus, Kazunori Fujisawa, A.K.M. Adham

Get full text

An optimal weighting-based hybrid classifier for Children's congenital heart diseases signal processing by Morteza Ebrahimpour, Mehdi Khashei

“…The main objective of the proposed optimal weighting-based CNN-LSTM-SVM (OCLS) hybrid classifier is to simultaneously leverage the unique advantages of CNN in feature extraction from input signals, LSTM in modeling the sequential patterns of signals, SVM in classifying regular patterns, and especially the proposed weighting algorithm to optimally integrate the outputs of these components. …”
Get full text

The influence of heterogeneity of lacustrine shale facies on rock mechanical properties and brittleness: a case study of Jurassic lacustrine shale reservoirs in Northeast Sichuan B... by Haibo Zhao, Haibo Zhao, Shujun Yin, Shujun Yin, Xuefeng Yang, Xuefeng Yang, Weilin Yan, Weilin Yan, Guangwu Bi, Guangwu Bi, Jianliang Zhang, Jianliang Zhang, Zimeng Xing

“…Through a correlation analysis of normalized rock parameters and the brittleness index derived from stress-strain curves with the fracture breakdown pressure and extension pressure observed in field fracturing, a comprehensive evaluation index has been established using the analytic hierarchy process to reflect the brittleness of deep lacustrine shale.DiscussionThis index serves effectively in characterizing the brittleness features of deep lacustrine shale, and evaluations suggest that the Liang upper section has a relatively high brittleness index and good compressibility, marking it as a key target layer for future shale gas development.…”
Get full text