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

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

“…Explainable AI techniques enable the identification of which features in data are used by DNNs to make decisions. …”
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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. …”
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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. …”
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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.…”
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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. …”
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An Explanation Interface for Healthy Food Recommendations in a Real-Life Workplace Deployment: User-Centered Design Study by Robin De Croon, Daniela Segovia-Lizano, Paul Finglas, Vero Vanden Abeele, Katrien Verbert

“…MethodsAn iterative, user-centered design process guided the development and refinement of the system across 4 phases: (Phase 0) an exploratory qualitative study (N=26) to understand stakeholder needs and initial system impressions, (Phases 1 and 2) rapid prototyping in real-life deployments (N=45 and N=16, respectively) to iteratively improve usability and features, and (Phase 3) a proof-of-principle study with employees (N=136) to evaluate a set of design goals. …”
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Slowness and sparseness lead to place, head-direction, and spatial-view cells. by Mathias Franzius, Henning Sprekeler, Laurenz Wiskott

“…The type of cells that develops depends solely on the relevant input statistics, i.e., the movement pattern of the simulated animal. …”
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The Characteristics and Consequences of Serial Sex Offenders’ Actions: the Example of Ukraine by Liana Spytska

“…Additionally, the study examined the concept of modus operandi and ritualistic elements in serial sexual crimes, which play a crucial role in understanding the criminal’s profile, motives, and behavioural patterns. The research emphasises the need for developing investigative profiles that consider factors such as location, time of the crime, weather conditions, and movement patterns of victims and perpetrators. …”
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Applying Rare Earth Elements, Uranium, and 87Sr/86Sr to Disentangle Structurally Forced Confluence of Regional Groundwater Resources: The Case of the Lower Yarmouk Gorge by Christian Siebert, Peter Möller, Fabien Magri, Eyal Shalev, Eliahu Rosenthal, Marwan Al-Raggad, Tino Rödiger

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Multimodal machine learning for analysing multifactorial causes of disease—The case of childhood overweight and obesity in Mexico by Rosario Silva Sepulveda, Magnus Boman, Magnus Boman

“…Unsupervised learning approaches varied in the optimal number of clusters but agreed on the importance of home environment features when analysing inter-cluster patterns. Main findings from this study differed from previous studies using only traditional statistical methods on the same database. …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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A Synoptic- and Remote Sensing-based Analysis of a Severe Dust Storm Event over Central Asia by Parya Broomandi, Kaveh Mohammadpour, Dimitris G. Kaskaoutis, Aram Fathian, Sabur F. Abdullaev, Vladimir A. Maslov, Amirhossein Nikfal, Ali Jahanbakhshi, Bakhyt Aubakirova, Jong Ryeol Kim, Alfrendo Satyanaga, Alireza Rashki, Nick Middleton

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Ecological portraits: Mapping functional spectra and space characteristics of birds in China by Fei Duan, Ming Gao, Shuyi Zhu, Xiaoli Shen, Sheng Li

“…The results showed that birds in China exhibited a clustered distribution pattern within the functional spectra and spaces. …”
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Decreased neuronal and increased endothelial fractalkine expression are associated with neuroinflammation in Parkinson’s disease and related disorders by Yaping Chu, Ashley S. Harms, Ashley Boehringer, Jeffrey H. Kordower

“…IntroductionChronic neuroinflammation is a persistent feature of individuals with Parkinson’s disease (PD). …”
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5-Methylcytosine methylation predicts cervical cancer prognosis, shaping immune cell infiltration by Luyang Su, Ren Xu, Yanan Ren, Shixia Zhao, Liyun Song, Cuiqiao Meng, Weilan Liu, Xuan Zhou, Zeqing Du

“…Conclusions This research underscores the key role of 5-methylcytosine modification patterns in cervical cancer. Analysis of these patterns will deepen our understanding of the cervical cancer tumor microenvironment, paving the way for the development of more refined and effective immunotherapy strategies.…”
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