The components of evaluating the effectiveness of factors affecting the academic silence of secondary school students: Thematic analysis approach by Mohammad Ali Pirkamali, Hasan Rahimi, Ahmad Aryainasab, Nematollah Pirkamali, Mahdiye yahyavezhad

“…One of the important foundations in the teaching and learning process is the educational interactions that provide the basis for improving education, academic silence is a psychological phenomenon that prevents the interaction and active participation of students in the classroom. …”
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Triple-attentions based salient object detector for strip steel surface defects by Li Zhang, Xirui Li, Yange Sun, Huaping Guo

“…Abstract Accurate detection of surface defects on strip steel is essential for ensuring strip steel product quality. Existing deep learning based detectors for strip steel surface defects typically strive to iteratively refine and integrate the coarse outputs of the backbone network, enhancing the models’ ability to express defect characteristics. …”
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Radiological Control of the Floating Mass Transducer Attached to the Round Window by Ingo Todt, G. Rademacher, J. Wagner, P. Mittmann, Dietmar Basta, Arne Ernst

“…The floating mass transducer position was variable and could be radiologically classified and correlated with the audiologically outcome. A learning curve was observed from the earlier to later implantations. …”
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Strength prediction and failure mode classification for SRC shear beams using GA-BP ANN method by Gangfeng Yao, Bingyi Li

“…Considering the advantages of machine-learning (ML) approaches, the back-propagation (BP) artificial neural network (ANN) method combined with genetic algorithm (GA) was employed to the prediction of strength and failure mode of SRC shear beams. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Data-driven techniques leverage historical data, AI, and machine learning algorithms to identify degradation trends and predict RUL, which can provide flexible and adaptive solutions. …”
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Navigating AI and chatbot applications in education and research: a holistic approach by Abhishek N., Sonal Devesh, Ashoka M.L., Neethu Suraj, Parameshwara Acharya, Divyashree M.S.

“…These insights can assist policymakers in making decisions and developing strategies for the efficient adoption of AI/interactive tools in academia and research to enhance the overall quality of learning experiences. Originality/value – The present study adds value to the existing literature on AI/interactive tool adoption in academia and research by offering a quantitative analysis of the factors impacting teachers' perception of the usage of such tools. …”
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Evaluation of 3D seed structure and cellular traits in-situ using X-ray microscopy by Marcus Griffiths, Barsanti Gautam, Clara Lebow, Keith Duncan, Xinxin Ding, Pubudu Handakumbura, John C. Sedbrook, Christopher N. Topp

“…Seeds of pennycress (Thlaspi arvense L.) an oilseed cover crop, were scanned and segmented using a machine learning model. Seed morphological analysis and a coat thickness map was applied to compare seed volumes of four genotypes. …”
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Strategies for Enhancing Home Economics Teachers’ Service Delivery in Some Selected Public Secondary Schools in Lagos State by Kemi P. Ogbonna, Ukamaka G. Okwume, Francisca N. Onyeka, Temitope F. Ogabi

“…Findings revealed that some of the factors that have negative impacts on Home Economics teachers service delivery are obsolete curriculum that are not in tune with current realities, lack of meaningful job schedule, lack of proper planning and provision of needed technological tools, facilities and equipment needed foreffective teaching and learning of home economics, lack of proper procedures for measuring the growth of each individual teacher and student performance, inability to make result driven evaluation that would help teachers appreciate their roles as home economist and lack of clear understanding of the subject matter. …”
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Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation by Zhao Li, Haobo Wang, Donghui Ding, Shichang Hu, Zhen Zhang, Weiwei Liu, Jianliang Gao, Zhiqiang Zhang, Ji Zhang

“…Specifically, it trains the item id embeddings in a learning-to-learn manner and integrates relational information for better embedding performance. …”
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Targeted maximum likelihood based estimation for longitudinal mediation analysis by Wang Zeyi, Laan Lars van der, Petersen Maya, Gerds Thomas, Kvist Kajsa, Laan Mark van der

“…To tackle causal and statistical challenges due to the complex longitudinal data structure with time-varying confounders, competing risks, and informative censoring, there exists a general desire to combine machine learning techniques and semiparametric theory. In this article, we focus on targeted maximum likelihood estimation (TMLE) of longitudinal natural direct and indirect effects defined with random interventions. …”
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Parameter Acquisition Study of Mining-Induced Surface Subsidence Probability Integral Method Based on RF-AGA-ENN Model by Jinman Zhang, Liangji Xu, Jiewei Li, Yueguan Yan, Ruirui Xu

“…To obtain more accurate PIM parameters in the absence of observational data, we propose a combined machine learning model (RF-AGA-ENN)—random forest (RF) extracts the best combination of features as the input layer of Elman neural network (ENN); ant colony algorithm (ACO) and genetic algorithm (GA) are combined (called AGA) for the weights and thresholds of ENN optimization. …”
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Efficient guided inpainting of larger hole missing images based on hierarchical decoding network by Xiucheng Dong, Yaling Ju, Dangcheng Zhang, Bing Hou, Jinqing He

“…Abstract When dealing with images containing large hole-missing regions, deep learning-based image inpainting algorithms often face challenges such as local structural distortions and blurriness. …”
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Anomaly Detection in Spatiotemporal Data from Fiber Optic Distributed Temperature Sensing for Outdoor Fire Monitoring by Haitao Bian, Xiaohan Luo, Zhichao Zhu, Xiaowei Zang, Yu Tian

“…To address this issue, this study developed a fixed-power fire source simulation device to establish a reliable small-scale experimental platform incorporating various environmental influences for generating anomalous temperature data. We employed deep learning autoencoders (AEs) to integrate spatiotemporal data, aiming to minimize the impact of outdoor conditions on detection performance. …”
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Diagnosing and Predicting the Earth’s Health via Ecological Network Analysis by Zi-Ke Zhang, Ye Sun, Chu-Xu Zhang, Kuan Fang, Xiang Xu, Chuang Liu, Xueqi Wang, Kui Zhang

“…Secondly, we identify the importance of each element by a machine learning approach. Thirdly, we use a spreading model to predict the Earth’s health. …”
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Fusion of Emotional Thinking and Mental Health of Students in Vocal Music Teaching by Qi Yang, Chao Yu

“…Effective teaching design is a holistic thinking before the implementation of teaching; all factors related to teaching, practice, and evaluation should be fully considered in the teaching design; teachers should take the learning effect of students and the cultivation of employability as the starting point for effective teaching design; and the classroom teaching of “vocal music” is a “process” and teachers should teach in accordance with the teaching design. …”
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Implementasi evaluasi model kirkpatrick terhadap kualitas sistem pembelajaran by Effendi M, Zainuddin Zainuddin, Muhammad Sabri Ahmad

“…Hasil dari  penelitian menunjukkan bahwa Pada Reaction Level, mahasiswa menunjukkan tingkat kepuasan atas kesesuaian materi dengan modul/BMP dan pelayanan administrasi di UT, namun merasa perlu perbaikan pada feedback tutor, keaktifan tutor dalam forum diskusi (tutorial online) dan lemahnya koneksi jaringan internet utamanya di Bobong. Pada Learning Level, mahasiswa puas dengan relevansi materi dalam kehidupan sehari-hari. …”
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Penggunaan Gamitifikasi pada Massive Open Online Course (MOOC) by Wirawan Arief Nugroho, Dyah Puspito Rini

“…Abstract Since the beginning of the Industrial Revolution 4.0 Gamification and the Massive Open Online Course (MOOC) is a new phenomenon in open learning and is known as a good strategy to improve the quality of education. …”
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The Concept “Student Experience” from the Point of View of Philosophical Anthropology and Developmental Psychology by V. S. Efimov, A. V. Laptevа

“…Currently, universities widely use the “instruction-based” and “consumer” models, and new models such as the “co-production” or “transformative learning” model are also being tested.The article examines the “anthropic” model of relations between the university and students, which 1) reflects the civilizational mission of the university; 2) is based on philosophical and anthropological ideas about the formation of an individual person as a “path” on which he/she discovers new realities (“horizons”) of personal and professional existence; 3) sets a new direction for research on student experience.A new concept of student experience is proposed, correlated with the “anthropic” model of relations between the university and students. …”
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Integration of soft skills into the program of maritime English by V. Kudriavtseva, S. Barsuk, O. Frolova

“…We consider the integration of soft skills into the Maritime English course to be one of the most suitable approaches since the teaching methods and the course learning materials are aimed specifically at the development of effective interpersonal communication skills.The information presented in the paper can be useful for researchers and educators, who are interested in soft skills embedding into educational programs.…”
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Clinical Practice of Endoscopic Submucosal Dissection for Early Colorectal Neoplasms by a Colonoscopist with Limited Gastric Experience by Wen-Hsin Hsu, Meng-Shun Sun, Hoi-Wan Lo, Ching-Yang Tsai, Yu-Jou Tsai

“…The aim is to delineate the feasibility and the learning curve of colorectal ESD performed by a colonoscopist with limited experience of gastric ESD. …”
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