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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Relocate to compete: a critical view on the diaspora of Russian athletes by Timur Absalyamov, Mathias Schubert

“…This wave of migration includes both top-level and mid-level athletes, notably featuring six medalists from the 2024 Olympics. The destinations chosen by Russian athletes post-2022 largely align with broader Russian migration patterns, while some also relocated to sporting powerhouses in the Global North. …”
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INVESTIGATION OF CHLORIN PHOTOSENSITIZERS DISTRIBUTION IN MONOLAYER AND SPHEROID CELL CULTURES by D. S. Farrakhova, I. V. Yakavets, V. B. Loschenov, L. N. Bolotine, V. P. Zorin

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Empowering Dysarthric Communication: Hybrid Transformer-CTC-Based Speech Recognition System by R. Vinotha, D. Hepsiba, L. D. Vijay Anand, P. Malin Bruntha, Linh Dinh, Hien Dang

“…The Transformer architecture employs a self-attention mechanism that models complex dependencies between speech features, enabling it to identify and emphasize important patterns even when training data is limited. …”
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Unraveling Cyberbullying Dynamis: A Computational Framework Empowered by Artificial Intelligence by Liliana Ibeth Barbosa-Santillán, Bertha Patricia Guzman-Velazquez, Ma. Teresa Orozco-Aguilera, Leticia Flores-Pulido

“…By integrating artificial intelligence techniques with image analysis, our model detects visual patterns associated with violent threats, creating safer digital environments. …”
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Research Progress on the GP3 Protein of Porcine Reproductive and Respiratory Syndrome Virus by Chen Lv, Zhiyu Yang, Xiaolin Lan, Fang Liang, Weili Kong, Ruining Wang, Mengmeng Zhao

“…This review summarizes the structural features, genetic evolutionary patterns, glycosylation of GP3 and its interactions with other PRRSV and host proteins, associations with PRRSV infection and virulence, and immunomodulatory roles. …”
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Initial Stages of Electrocrystallization of Coatings with Tin and Tin-Copper and Tin-Copper-Ultradisperse Diamond Alloys by I. I. Kuzmar, D. Y. Gulpa, L. K. Kushner

“…The need of modern microelectronics in the development of technological processes for the formation of nanostructured layers puts forward the necessity of understanding the mechanisms of nucleation and growth of deposits. …”
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A Multi-Scale Time–Frequency Complementary Load Forecasting Method for Integrated Energy Systems by Enci Jiang, Ziyi Wang, Shanshan Jiang

“…This study proposes ST-ScaleFusion, a multi-scale time–frequency complementary hybrid model to enhance comprehensive energy load forecasting accuracy. The model features three core modules: a multi-scale decomposition hybrid module for fine-grained extraction of multi-time-scale features via hierarchical down-sampling and seasonal-trend decoupling; a frequency domain interpolation forecasting (FI) module using complex linear projection for amplitude-phase joint modeling to capture long-term patterns and suppress noise; and an FI sub-module extending series length via frequency domain interpolation to adapt to non-stationary loads. …”
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49, XXXYY: Parental Origin, Occurrence, and Clinical Phenotypes by Yufang Du, Liangrong Liao, Xianda Wei, Yunting Ma, Meizhen Shi, Chunyan Li, Juliang Liu, Wenting Lin, Hao Zeng, Shaoke Chen, Baoheng Gui

“…The patient exhibited a karyotype of 49, XXXYY without any mosaic patterns. No pathogenic microdeletions or microduplications (> 100 kb) were identified in autosomes 1–22. …”
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Subject and Current Problems of Theolinguistic Research in World Religious Studies by Aliya Kusherbayeva, Ainura Kurmanaliyeva

“…The purpose of this study was to identify the linguistic features of these texts that influence religious communication, the formation of spiritual beliefs and behavioural patterns of believers. …”
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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“…Lexical context patterns, generated from an unlabeled corpus of 3 million wordforms in a semi-automatic way, have been used as the features of the classifiers in order to improve their performance. …”
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Computational Analysis Method for Multi-subject Behavior in Public Spaces Based on Targeted Computer Vision Tracking by Chao YAN, Siyan LIU, Shanshu HE, Leiqing XU

“…Therefore, future development using human pose tracking is essential for more refined analysis. …”
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Intratumoral heterogeneity and drug resistance in cancer by Yue-Chun Fu, Shao-Bo Liang, Min Luo, Xue-Ping Wang

“…Understanding the role of intratumoral heterogeneity, it becomes clear that a single therapeutic agent or regimen may only be effective for subsets of cells with certain features, but not for others. This necessitates a shift from our current, unchanging treatment approach to one that is tailored against the killing patterns of cancer cells in different clones. …”
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Dynamics of changes in population immunity to the SARS-CоV-2 virus in residents the Irkutsk region in the context of the COVID-19 pandemic by S. V. Balakhonov, V. I. Dubrovina, A. B. Pyatidesyatnikova, D. D. Briukhova, N. O. Kiseleva, K. M. Korytov, V. V. Voitkova, A. N. Perezhogin, M. V. Chesnokova, T. A. Gavrilova, A. A. Seledtcov

“…A comprehensive study of the patterns of development and manifestations of the epidemic process of the new coronavirus infection COVID-19 is an urgent line of research. …”
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Natural and anthropogenic noise shape bat activity and sonar behavior by Ryan Vosbigian, Ryan Wardle, Hannah S. Rempel, Ellie Brauer, Michael Huggins, Samantha West, Joshua S. Willems, Clinton D. Francis

“…Overall, we found evidence that temporal patterning of noise may strongly influence bat activity and that signaling in noise may involve trade‐offs among call features.…”
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