Machine learning in lymphocyte and immune biomarker analysis for childhood thyroid diseases in China by Ruizhe Yang, Wei Li, Qing Niu, WenTao Yang, Wei Gu, Xu Wang

“…It also intends to develop and evaluate a machine learning model to predict if patients have thyroid disorders based on their clinical characteristics, ultimately providing insights to enhance the clinical guidelines for the pathogenesis of childhood thyroid disorders. …”
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A burst-dependent algorithm for neuromorphic on-chip learning of spiking neural networks by Michael Stuck, Xingyun Wang, Richard Naud

“…Approaches based on burst-dependent plasticity have been proposed to address this requirement, but their ability to learn complex tasks has remained unproven. …”
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CYCLONE: recycle contrastive learning for integrating single-cell gene expression data by Han Ji, Xinwei He, Hongwei Li

“…Conclusion CYCLONE is an effective integration method based on recycle contrastive learning that improves the accuracy of cell clustering while successfully eliminating batch effects and preserving batch-specific information.…”
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EVALUATION OF THE MBKM INTERNSHIP PROGRAM ON THE LEVEL OF STUDENT SATISFACTION IN ACHIEVING LEARNING OBJECTIVES by Patricia Sulaowady, Samuel Elmer Limputra, Maichal Maichal

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PENINGKATAN KUALITAS PEMBELAJARAN STUDI KELAYAKAN BISNIS MELALUI METODE LEARNING CYCLE by Syamsu Hadi

“…That score was the average of all aspects investigated on three cycles. Based on result of study, it was suggested that for lecturers of Business Feasibility Study subject to apply Learning Cycle method in teaching-learning process. …”
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CITIZEN SCIENCE PROJECT'S CONTRIBUTION TO SCIENCE LEARNING OUTCOME: SYSTEMATIC LITERATURE REVIEW by Ipin Aripin, Topik Hidayat, Nuryani Y. Rustaman, Riandi Riandi

“…The contributions of CSPs to these measured indicators of science learning outcomes show positive and significant results. …”
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Mathematics e-comic in cultural context to improve student motivation and learning outcomes by Dani Farhan, M Ikhsan, Elizar Elizar

“…Method: The research used a development method based on the Plomp model, which consists of an initial investigation, design, and assessment stage. …”
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Sequential learning on a tensor network Born machine with trainable token embedding by Wanda Hou, Miao Li, Yi-Zhuang You

“…Quantum-inspired generative models, such as Born machines based on the matrix product state (MPS) framework, have demonstrated remarkable capabilities in unsupervised learning tasks. …”
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Effective deep learning aided vehicle classification approach using Seismic Data by Sherief Hashima, Mohamed H. Saad, Ahmad B. Ahmad, Takeshi Tsuji, Hamada Rizk

“…Our method employs specialized data augmentation techniques to create positive and negative pairs, enhancing feature representation. …”
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Cognitive Anxiety and Habits of Mind: A Study of the Interrelationships with Biology Learning Outcomes by Ilma Riksa Isfiani, Bambang Ekanara

“…It can be summarized that habits of mind and cognitive anxiety have a positive relationship with biology learning outcomes. …”
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Evaluating performance and generalizability of Learning from Demonstration for the harvesting of apples & pears by Robert van de Ven, Ard T. Nieuwenhuizen, Eldert J. van Henten, Gert Kootstra

“…Automating agricultural tasks is challenging because of the large amount of variation in the environment and variation in tasks. Learning from Demonstration (LfD) is a promising method that allows robots to adjust to new environments and tasks easily through an easy training procedure performed by the end-user. …”
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Evaluation of predictive accuracy of gene expression in pigs using machine learning models by Tianle ZHOU, Jinyan TENG, Zhiting XU, Zhe ZHANG

“…ObjectiveThe goal was to compare the performance of various machine learning models in predicting gene expression in pigs utilizing single nucleotide polymorphisms (SNPs), and to investigate the relationship between cis-heritability (cis-h2), the number of cis-SNPs and the prediction accuracy of different models.MethodBased on the protein encoding genes of pigs derived from muscle tissue of the PigGTEx project, we trained 18 distinct machine learning models by employing cis-SNPs located within a ±1 Mb window from the transcription start sites of genes. …”
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The Correlation Between Teachers' Emotional Intelligence and Students' Learning Engagement in EFL Class by Wahyu Satya Gumelar, Sri Fitri Wulandari, Tyara Sucia Lestari, Riki Ruswandi

“…There was a moderate level of students’ learning engagement, with a mean score of 12.46. Hypothesis analysis also found that there is a positive and significant relationship between teacher emotional intelligence and student learning engagement with a fairly strong correlation level. …”
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Comparison of cardiovascular risk prediction models developed using machine learning based on data from a Sri Lankan cohort with World Health Organization risk charts for predictin... by Anuradhani Kasturiratne, Hithanadura Janaka de Silva, Chamila Mettananda, Anuradha Supun Dassanayake, Norihiro Kato, Rajitha Wickremasinghe, Maheeka Solangaarachchige, Prasanna Haddela

“…Introduction Models derived from non-Sri Lankan cohorts are used for cardiovascular (CV) risk stratification of Sri Lankans.Objective To develop a CV risk prediction model using machine learning (ML) based on data from a Sri Lankan cohort followed up for 10 years, and to compare the predictions with WHO risk charts.Design Cohort study.Setting The Ragama Health Study (RHS), an ongoing, prospective, population-based cohort study of patients randomly selected from the Ragama Medical Office of Heath area, Sri Lanka, focusing on the epidemiology of non-communicable diseases, was used to develop the model. …”
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Estimating latent heat flux of subtropical forests using machine learning algorithms by Harekrushna Sahu, Pramit Kumar Deb Burman, Palingamoorthy Gnanamoorthy, Qinghai Song, Yiping Zhang, Huimin Wang, Yaoliang Chen, Shusen Wang

“…An analysis of the annual water budget, based on ERA5 precipitation data, highlights net positive water balances across the study sites. …”
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Multi-Sensor Fusion and Machine Learning for Forest Age Mapping in Southeastern Tibet by Zelong Chi, Kaipeng Xu

“…Forest age is a key factor in determining the carbon sequestration capacity and trends of forests. Based on the Google Earth Engine platform and using the topographically complex and climatically diverse Southeastern Tibet as the study area, we propose a new method for forest age estimation that integrates multi-source remote-sensing data with machine learning. …”
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Quantum Machine Learning for Identifying Transient Events in X-Ray Light Curves by Taiki Kawamuro, Shinya Yamada, Shigehiro Nagataki, Shunji Matsuura, Yusuke Sakai, Satoshi Yamada

“…We investigate whether a novel method of quantum machine learning can identify anomalous events in X-ray light curves as transient events and apply it to detect such events from the XMM-Newton 4XMM-DR14 catalog. …”
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Design, Implementation, and Evaluation of the Flipped Classroom Teaching Method in Cartilage Histology Course by Azra allahveisi, Mohamad Jafar rezaie, Mahsa Mahmoudi, nasrin abdi

“…Background and Objective: With technological advancements and the rapid growth of innovative educational approaches, methods such as the flipped classroom and problem-based learning have replaced traditional methods like lectures. …”
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Risky business: medical students’ feedback-seeking behaviours: a mixed methods study by Muirne Spooner, Ciarán Reinhardt, Fiona Boland, Samuel McConkey, Teresa Pawlikowska

“…Three hundred and twenty-five of a total of 514 completed questionnaires and 57 interviews were analysed. Learning goal orientation (LGO), instrumental leadership and supportive leadership related positively to perceived feedback benefits (0.23, 0.2, and 0.31, respectively, p < 0.05). …”
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Factors influencing utilization of school health nurse program among secondary students of Lalitpur, Nepal: a mixed-method study by Saraswati Sharma, Anita Mahotra, Tulsi Ram Thapa, Pushpa Thapa, Shital Bhandary, Suraj Bhushal, Sudarshan Paudel

“…Finally, the study did the triangulation to cross-validate the findings from both quantitative and qualitative studies. Methods A concurrent triangulation mixed-method study was conducted in six public schools randomly selected from each of six local levels of Lalitpur district implementing the ‘’One school one nurse’’ program. …”
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