QoS Prediction for Neighbor Selection via Deep Transfer Collaborative Filtering in Video Streaming P2P Networks by Wenming Ma, Qian Zhang, Chunxiao Mu, Meng Zhang

“…In this paper, we proposed a novel neural collaborative filtering method based on transfer learning, which can evaluate the QoS with few historical data by evaluating the other different QoS properties with rich historical data. …”
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The effect of blended education on mental health, academic motivation and academic involvement in students of Payam Noor University by Hossien Najafi, Eisa Jafari, Ali Moghadamzadeh, Ali Salmani

“…The aim of this present study was to investigate the effect of blended learning on students' mental health, academic motivation and academic engagement. …”
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Implementation and evaluation of online and offline blended teaching model in laboratory course of Clinical Laboratory Hematology by Dan Li, Fang Wang, Xiaodong Zhou, Kejun Peng, Limei Zhang, Hong Yan, Xiaoying Li, Juan Zhang

“…Furthermore, the results of the feedback questionnaire showed that the satisfaction and self-evaluation of the learning effect of students in the experimental group were significantly better than those in the control group (p < 0.05). …”
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Penggunaan Metode Eklektik Dan Mentoring Untuk Meningkatkan Kemampuan Berbahasa Inggris Lisan Tenaga Pendidik Dan Kependidikan by Erniwati

“…Selain itu, untuk mendukung ketiga teori tersebut peneliti juga menggunakan strategi Communicative Language Teaching dan Cooperative Language Learning. Peneliti juga menggunakan mentoring untuk meningkatkan motivasi dan rasa percaya diri para subyek penelitian. …”
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Compressive Strength Prediction of Alkali-Activated Slag Concretes by Using Artificial Neural Network (ANN) and Alternating Conditional Expectation (ACE) by Xiaoyu Qin, Qianmin Ma, Rongxin Guo, Zhigang Song, Zhiwei Lin, Haoxue Zhou

“…However, also due to the increase in data size, both the models were more feasible to implement 28 d strength prediction as a result of sufficient learning and training during modeling. In addition, based on ACE analysis, the weight-influencing compressive strength of AAS decreased in a sequence of Na2O% > Ms > W/B > Kb > SA. …”
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Patient safety culture: Insights from a cross-sectional study among healthcare professionals by Vijay K. Tadia, Neelam Kotwal, Rahul S. Jalaunia

“…About 69% mentioned about a culture of organizational learning and continuous improvement, 59% reported any patient safety event, 49% believed in support from Hospital management and 42% believed that if a patient safety error is reported it is responded to positively by the seniors by taking corrective measures. …”
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Very Short-Term Blackout Prediction for Grid-Tied PV Systems Operating in Low Reliability Weak Electric Grids of Developing Countries by Benson H. Mbuya, Aleksandar Dimovski, Marco Merlo, Thomas Kivevele

“…A very short-term power outage prediction model framework based on a hybrid random forest (RF) algorithm was developed using open-source Python machine learning libraries and using a dataset generated from the pilot project’s experimental microgrid. …”
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Artificial Intelligence in Nursing Education: A Cross-sectional UTAUT Analysis Study by Latifah H Alenazi

“…Conclusion: This study provides a foundation for its integration to enhance learning outcomes and prepare students for technology-driven healthcare. …”
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Allosteric Fluorescent Detection of Saccharides and Biomolecules in Water from a Boronic Acid Functionalized Arene Ruthenium Assembly Hosting Fluorescent Dyes by Alaa Maatouk, Thibaud Rossel, Bruno Therrien

“…All data were analyzed by unsupervised machine learning technologies (PCA and cluster analysis), suggesting that such systems with multiple analyte–response behaviors are offering new perspectives for the development of highly sensitive, easily tunable, water-soluble, fluorescent-based sensing arrays for biomolecules and other analytes.…”
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A Real-Time Data Monitoring Framework for Predictive Maintenance Based on the Internet of Things by Mudita Uppal, Deepali Gupta, Nitin Goyal, Agbotiname Lucky Imoize, Arun Kumar, Stephen Ojo, Subhendu Kumar Pani, Yongsung Kim, Jaeun Choi

“…A sensor fault prediction model based on a machine learning algorithm is proposed in this paper, where the k-nearest neighbors model achieved better performance with 99.63% accuracy, 99.59% F1-score, and 99.67% recall. …”
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Identification of hypertension gene expression biomarkers based on the DeepGCFS algorithm. by Zongjin Li, Liqin Tian, Libing Bai, Zeyu Jia, Xiaoming Wu, Changxin Song

“…This algorithm utilizes a graph network to represent the interaction information between genes, builds a GNN model, designs a loss function based on link prediction and self-supervised learning ideas for training, and allows each gene node to obtain a feature vector representing global information. …”
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Newman's Error Analysis (NEA) in Solving Computational Thinking Problems on Indefinite Integral Material by Lisa Lisa, Elmanani Simamora, Mulyono Mulyono, E. Elvis Napitupulu, Asmin Panjaitan

“…These errors in the Calculus course need to be analyzed further to assist lecturers and students in identifying weaknesses in the learning process and address or at least reduce similar mistakes in the future. …”
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TBF-YOLOv8n: A Lightweight Tea Bud Detection Model Based on YOLOv8n Improvements by Wenhui Fang, Weizhen Chen

“…To solve the problem of the high computational complexity of deep learning detection models, we developed the Tea Bud DSCF-YOLOv8n (TBF-YOLOv8n)lightweight detection model. …”
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Cultural Science Meets Cultural Data Analytics by Ibrus Indrek, Schich Maximilian, Tamm Marek

“…We instead argue for a study of meaning-making practices in human society, but without confining ourselves to traditional humanities scholarship, but rather, learning from new developments in systems biology, evolutionary economics, complexity science and many more. …”
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Final assessment tool quality of the subject Cell, Tissues and Integumentary System by Marlen Llanes Torres, Roxana Gómez Vilela, Galia Ibis Pérez Rumbaut, Laura Naranjo Hernández, Zulema Tamara Mesa Montero, Grey Alicia Crespo Lechuga

“…<p><strong>Background:</strong> when an assessment tool is used, it must conform to rigorous quality standards; defects in its preparation have negative effects on the teaching-learning process.<br /><strong>Objective:</strong> to evaluate the quality of the ordinary examination of the Cell Tissues and Integumentary System subject through the level of difficulty and the power of the instrument discrimination.…”
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Experiences and Perspectives of Student Nurses Toward Volunteerism during Health Emergencies: A Systematic Review by Pradeepti Prashar, Dinesh Kumar Sharma, Bandana Mohinder, Santosh Kumari

“…Professional ethics, humanity, and learning motivate. Self-care issues, system support issues, and psychological impacts are obstacles. …”
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On the Effect of the Patient Table on Attenuation in Myocardial Perfusion Imaging SPECT by Tamino Huxohl, Gopesh Patel, Wolfgang Burchert

“…Abstract Background The topic of the effect of the patient table on attenuation in myocardial perfusion imaging (MPI) SPECT is gaining new relevance due to deep learning methods. Existing studies on this effect are old, rare and only consider phantom measurements, not patient studies. …”
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To what extent do the prevalence of sickness presence and reasons for sickness presence vary between school classes in upper secondary schools? A cross-sectional survey in Trøndela... by Vegard Johansen

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A novel knowledge distillation framework for enhancing small object detection in blurry environments with unmanned aerial vehicle-assisted images by Sayed Jobaer, Xue-song Tang, Yihong Zhang, Gaojian Li, Foysal Ahmed

“…Abstract Deep learning-based object detectors excel on mobile devices but often struggle with blurry images that are common in real-world scenarios, like unmanned aerial vehicle (UAV)-assisted images. …”
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Problems in Studying English Language Among Future Engineers by E. A. Kogan, O. B. Krymskaya

“…The article presents the results of a research conducted among students of MAI (NRU) and MADI in order to find out the difficulties they face in the process of learning a foreign language in the framework of the compulsory course. …”
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