Contexts and Parental Management Strategies for Child-to-Parent Violence in Adolescents with Attention-Deficit/Hyperactivity Disorder: A Qualitative Study by Chia-Fen Wu, Ching-Shu Tsai, Yu-Ping Chang, Fan-Hao Chou, Cheng-Fang Yen

“…Background/Objectives: This qualitative study was conducted to understand the experiences of parents of adolescents with attention-deficit/hyperactivity disorder (ADHD) regarding experiences of child-to-parent violence (CPV), including the contexts of parent–child conflict in which CPV occurred, types of CPV, victimized parents’ feelings and responses to CPV, and parents’ strategies for better handling of CPV based on past experiences. Methods: Data from open and in-depth interviews with 18 parents who have experienced CPV perpetrated by their children with ADHD were subject to reflexive thematic analysis. …”
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Shaping Students’ Entrepreneurial Intentions into Actions: South African Lecturers’ Views on Teaching Strategies and the Ideal Educator by Tendai Makwara, Chux Gervase Iwu, Lucky Sibanda, Eugine Tafadzwa Maziriri

“…This empirical qualitative study examines data collected from 14 entrepreneurship educators across various South African public higher education institutions, collected using an open-ended questionnaire. …”
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Teaching English Through UbD: Challenges of Indonesian Pre-Service Teachers by I Ketut Wardana

“…The instruments included a teaching performance rubric, an observation checklist, and reflective journals. The data were analyzed using descriptive statistics, paired sample t-tests, and thematic analysis. …”
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Application of SVM algorithm in fluid prediction of volcanic reservoirs in Nanpu Sag, Bohai Bay Basin by ZHANG Ying,QU Lili,ZHU Lu,ZHANG Yan,HAN Siyang,ZENG Cheng

“…For this reason, the SVM（Support Vector Machine） algorithm of machine learning is used to predict the fluids of unknown reservoirs for the volcanic rock reservoirs in the Nanpu Sag of the Bohai Bay Basin. …”
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Strategies for enhancements of MSME resilience and sustainability in the post-COVID-19 era by Abhaya sanatan satpathy, Suresh kumar Sahoo, Asit Mohanty, Pragyan P. Mohanty

“…The study looks at important elements that have aided MSMEs' recovery using a mixed-methods approach that combines quantitative analysis of financial and operational data with qualitative interviews with MSME stakeholders. …”
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Recursive Time Series Prediction Modeling of Long-Term Trends in Surface Settlement During Railway Tunnel Construction by Feilian Zhang, Qicheng Wei, Zhe Wu, Jiawei Cao, Danlin Jian, Lantian Xiang

“…To prevent surface settlement and surrounding rock collapse during railroad tunnel construction, while also ensuring the safety of the tunnel and existing structures, we propose a recursive prediction model for the long-term trend of surface settlement utilizing a singular spectrum analysis (SSA), improved sand cat swarm optimization (ISCSO), and a kernel extreme learning machine (KELM). …”
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Parental experience of change following VIPP-SD in families with preschool children with externalizing behavior: A qualitative interview study. by Nina M Lassen, Tine Steenhoff, Bryan Cleal, Amanda Frees, Mette S Væver

“…<h4>Methods</h4>Individual qualitative semi-structured interviews were conducted with 9 mothers and 2 fathers to explore the parents' experiences of change following the intervention. Data were analyzed using Braun and Clarke's reflexive thematic analysis.…”
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Massive Open Online Courses (MOOCs) for Ethiopian Educators: Evaluating MOOCs as a global development tool by Éva Berde, Seyoum Teffera Mengesha, Belaynew Asrie Mola, Sándor Remsei

“…Using survey data from 164 educators across 15 public universities, we investigate how institutional contexts shape technology integration patterns. …”
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Needs Assessment for Business Turkish for Syrians under Temporary Protection in Türkiye by İsa Koyuncu, Mustafa Durmuş, Hüseyin Göçmenler, Eser Kocaman Gürata

“…This study investigates the language learning needs of Syrians under Temporary Protection (SuTPs) in Türkiye, aiming to develop a specialized Business Turkish Course to enhance their social and economic integration. …”
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FE-DIoT: IoT Device Classification Through Dynamic Feature Selection and Adaptive Cross-Network Model by Hanxi Zheng, Huanpu Yin, Haisheng Li

“…Traditional device identification methods, such as traffic analysis and machine learning, which rely heavily on static features and prior knowledge, often struggle to maintain accuracy in dynamic IoT environments characterized by frequent changes and large-scale deployments. …”
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Exploring educational technology dynamics: a dive into student engagement and educator empowerment by Clement Owusu-Cole, Nasir Yaqub Entsie, Leticia Bosu, Ernest Akore Sarpong, Emmanuel Kwadwo Mensah

“…Semi-structured interviews and observations were employed to gather comprehensive data, and thematic analysis was used to interpret the findings. …”
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Advanced leukocyte classification using attention mechanisms and dual channel U-Net architecture by Gauri Kalnoor, Vijayalaxmi Kadrolli

“…This ADCU-Net model is particularly selected to effectively capture various features and preserve spatial data, achieving98.4% accuracy. Overall, this paper highlights the performance of integrated sophisticated deep-learning structures for accurate leukocyte classification and segmentation, enabling the path for improved diagnostic tools in clinical settings.…”
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Validity and practicality of ecosystem e-modules integrated with local wisdom to improve students' SCA and critical thinking skills by Meli Marlina, Wan Syafi’i, S. Suwondo

“…The three phases of the ADDIE model—analysis, design, and development—form the basis of the chosen research methodology.  …”
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Cultural knowledge deficiency: a root cause of communication challenges among school-aged youths in Surakarta, Indonesia by Sugiyanto, Akbarudin Arif, Agung Hidayat, Singgih Prihadi

“…While communication is widely recognized as a core competency for students in the digital era, most research has focused on general or higher education contexts, often overlooking the nuanced impact of local cultural knowledge on communication effectiveness at the secondary school level. Drawing on survey data from students, teachers, and parents, and employing qualitative thematic analysis, this research reveals that many communication difficulties experienced by Surakartanese youth—including misunderstandings, perceived disrespect, and inappropriate gestures—are deeply rooted in insufficient mastery of local cultural norms and values. …”
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Pedotransfer function for determining saturated hydraulic conductivity using Artificial Neural Network (ANN) by Edyta Kruk, Magdalena Malec, Sławomir Klatka, Andżelika Brodzińska-Cygan, Jan Kołodziej

“…In the work there were presented two pedotransfer models for determination of saturated hydraulic conductivity, generated by artificial neural networks (ANN). Models were learned based on empirical data obtained in laboratory, on 56 soil samples of differentiated texture. …”
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education, students; informatization; information and communication technologies (ICT); physical culture, competencies by Yu. Zhuravleva, M. Katrenko

“…The article considers the problem of using IR technologies (ICT) by university teachers in the field of physical culture. Analysis of literary sources, survey, questioning, method of mathematical data processing, the scientific works of domestic scientists, legislative materials affecting the development of digital competence of teachers in the context of digital transformation of education were analyzed; the need to develop ICT skills among teachers is substantiated, since innovative processes predetermine fundamental changes and increase the requirements not only for the system of training specialists, but also for the skills of the teacher, for his individual level of mastering ICT; the position of the teacher is determined as a carrier of knowledge that he shares with students and as a conductor capable of using ICT tools in the educational process, including the skills of searching, exchanging information, communication; the directions of application of information and communication technologies in the field of physical culture are considered, on the example of the implementation of additional practical classes in the online format; the main reasons for the lack of digital competence of teachers are established, as well as possible ways to solve this problem; groups of software tools are allocated to perform specific tasks of distance learning; author's developments for the implementation of elective disciplines in physical culture and sports in remote access are proposed; empirical research methods were applied, which made it possible to assess the state of the problem. …”
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Heartbeat detection and personal authentication using a 60 GHz Doppler sensor by Takuma Asano, Shintaro Izumi, Hiroshi Kawaguchi

“…High signal-to-noise ratio waveforms were selected, and time-frequency analysis extracted relevant features. Spectrograms labeled with subject data were input into the CVAE, which encoded subject-specific features into a latent space for authentication.ResultsThe proposed heartbeat-based authentication method, validated on 13 subjects, achieved an average balanced accuracy of 97.3% for authentication and an average accuracy of 94.7% for identification. …”
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Quantum Long Short-Term Memory-Assisted Optimization for Efficient Vehicle Platooning in Connected and Autonomous Systems by Mahzabeen Emu, Taufiq Rahman, Salimur Choudhury, Kai Salomaa

“…This approach leverages the unique computational advantages of quantum computing, particularly in processing complex temporal data, potentially leading to more accurate and efficient dynamic systems in vehicular platoon infrastructure. …”
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Cultural and technological Synergy: A new Pathway to learners success in development studies in Lesotho secondary schools by Musa Adekunle Ayanwale, Mathaha Puseletso

“…Grounded in socio-constructivism, practice architecture, and meaningful verbal learning theory, a quasi-experimental design involving grade 11 intact classes was employed to generate quantitative data. …”
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Artificial intelligence in decoding muscle–organ crosstalk: Unveiling myokine networks and therapeutic frontiers by Ehsan Arabzadeh, Fatemeh Khanzadeh, Arezoo Kalhor

“…This review explores how machine learning and network analysis tools bridge gaps in understanding myokine dynamics, particularly in exercise-induced contexts and pathologies such as obesity, cancer, and neurodegeneration. …”
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