Pengembangan Media Pembelajaran Berbasis Hypertext pada Komunikasi Data dan Jaringan Komputer Berorientasi Konsep Subak by Ketut Agustini

“… This study aimed to develop a hypertext-based learning media for data com- munication and computer networks in Subak concept oriented. …”
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Improved GOA-based fuzzy PI speed control of PMSM with predictive current regulation. by Taochang Li, Ang Li, Limin Hou

“…Subsequently, the fusion of Cauchy mutation and opposition-based learning, along with modifications to the optimal position, further improves the algorithm's ability to escape local optima. …”
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A data driven approach to classify descriptors based on their efficiency in translating noisy trajectories into physically-relevant information by Simone Martino, Domiziano Doria, Chiara Lionello, Matteo Becchi, Giovanni M Pavan

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Development characteristics and intelligent identification method of natural fractures: A case study of the Upper Triassic Xujiahe Formation in the western Sichuan Depression, Sich... by LI Wei, WANG Min, XIAO Dianshi, JIN Hui, SHAO Haoming, CUI Junfeng, JIA Yidong, ZHANG Zeyuan, LI Ming

“…To evaluate the “sweet spot” enrichment area of the Xujiahe Formation gas reservoir, fracture development characteristics are identified and an effective fracture recognition method is established based on core observation, logging data, and intelligent algorithms. …”
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Enhanced Detection Performance of Acute Vertebral Compression Fractures Using a Hybrid Deep Learning and Traditional Quantitative Measurement Approach: Beyond the Limitations of Ge... by Jemyoung Lee, Minbeom Kim, Heejun Park, Zepa Yang, Ok Hee Woo, Woo Young Kang, Jong Hyo Kim

“…Objective: This study evaluated the applicability of the classical method, height loss ratio (HLR), for identifying major acute compression fractures in clinical practice and compared its performance with deep learning (DL)-based VCF detection methods. …”
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Pretend Play as a Key to Enhancing Sexuality Knowledge in Children with Mild Intellectual Disability by Alucyana Alucyana, Ikhwanisifa Ikhwanisifa, Juliarni Siregar, Sisra Zeni, Restu Nabila

“…These findings suggest that the pretend play method can serve as an effective educational strategy for enhancing sexuality knowledge among children with mild intellectual disability, highlighting the importance of integrating structured play-based learning into special education curricula to support their cognitive and social development.…”
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Effects of a SWELE program for improving mental wellbeing in children and adolescents with special educational needs: protocol of a quasi-experimental study by Regina Lai Tong Lee, Sally Wai Chi Chan, Yuen Yu Chong, Steven Wai Ho Chau, Kai Chow Choi, Wai Tong Chien

“…Unstructured Outdoor Play coupled with Mindfulness-based Interventions via ‘Supporting Wellness in E-Child Learning Environments’ (SWELE) program can foster the mental health and wellbeing of children and adolescents with SEN. …”
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Research on blindsight technology for object recognition and attitude determination based on tactile pressure analysis by Chen Li, Li HuiJun, Song Aiguo

“…Practical experiments demonstrate that the proposed method for rapid analysis and extended posture determination of the grasping surface based on CNNs can achieve millimeter-level precision in grasping position determination and a two-dimensional posture angle of less than 1 degree for the grasped object, generally meeting the requirements of power system business scenarios. …”
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High-precision deformation monitoring and intelligent early warning for wellbore based on BDS/GNSS. by Jiang Li, Lei Dai, Keke Xu, Xinyu Mei, Yifu Liu, Jianlin Shi, Hebing Zhang

“…A quantitative analysis was conducted on the performance of various combinations of BDS/GNSS in wellbore deformation monitoring, and the effects of different baseline lengths on the monitoring results were evaluated. Based on the high-precision deformation monitoring sequences, an intelligent early warning model for wellbore deformation was established using the deep learning Bi-LSTM algorithm. …”
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DECONSTRUCTING NARRATIVE STRUCTURE: A LINGUISTIC FRAMEWORK FOR CT-BASED SHORT STORY WRITING by Fransiska Marta Sari, Mudhar, Riyati, Sri Utami

“…Students demonstrated improved short story writing abilities and responded positively to the CT approach in Indonesian language learning. …”
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Using emoji to ascertain student emotional responses to technology-based human anatomy instruction by Shawn M. Magrum, Shawn M. Magrum, Jaynie Bird, Ethan L. Snow, Ethan L. Snow

“…Pre- and post-course questionnaires were also administered to clarify reactions to the technology.ResultsResults indicated that students reported positive and neutral emotions nearly exclusively, although students reported a reduction in emotional sentiment after technology-based learning sessions as compared to after non-technology-based learning sessions (Z = −2.557, p = 0.011). …”
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Need Analysis for the Development of Teaching Materials Using Task-Based Instruction for Nursing Students by Risman Wanci, Sujariati Sujariati, Maulina Maulina, Muhaimin Abdullah

“…In conclusion, most respondents agreed with the plan to develop English teaching materials for nursing students based on task-based instruction. It is hoped that the results of this research can contribute positively to English lecturers and nursing students.…”
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Analysis of College Classes Based on U-CLASS System Using Personal Mobile Nodes by Chonggun Kim, Jeongmi Kim, Hohwan Park, Ilkyu Ha

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Adjoint‐Based Marker‐In‐Cell Data Assimilation for Constraining Thermal and Flow Processes From Lagrangian Particle Records by Atsushi Nakao, Tatsu Kuwatani, Shin‐ichi Ito, Hiromichi Nagao

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Review of Demand Response-based Optimal Scheduling of Electric and Thermal Integrated Energy Systems by Jingshan MO, Guangxian YAN, Na SONG, Mingyang YUAN

“…Artificial intelligence algorithms are primarily divided into methods based on group optimization problems and machine learning algorithms. …”
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Development of a machine learning prediction model for loss to follow-up in HIV care using routine electronic medical records in a low-resource setting by Tamrat Endebu, Girma Taye, Wakgari Deressa

“…This study aimed to develop a prediction model to assess the future risk of LTFU in HIV care in Ethiopia. Methods The study used a retrospective design in which machine learning (ML) methods were applied to the electronic medical records (EMRs) data of adult HIV-positive individuals who were newly enrolled in antiretroviral therapy between July 2019 and April 2024. …”
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Using a machine learning algorithm and clinical data to predict the risk factors of disease recurrence after adjuvant treatment of advanced-stage oral cavity cancer by Sheng-Yao Huang, Ren-Jun Hsu, Dai-Wei Liu, Wen-Lin Hsu

“…Results: The accuracy, sensitivity, and positive predictive value of the model were 57.89%, 57.14%, and 44.44%, respectively. …”
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Crowd counting in domain generalization based on multi-scale attention and hierarchy level enhancement by Jiarui Zhou, Jianming Zhang, Yan Gui

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Enhancing Arabic Writing Skills Through the Genre-Based Approach in Senior High School by M Yahya Ashari, Mokhammad Miftakhul Huda, Rifatul Mahfudhoh

“…The learning process was also rated positively by observers. …”
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The Effects of Task Based Speaking Instruction on Students’ Speaking Perception as Shambu Secondary School by Moti Alemayehu Dheressa, Tamiru Olana, Ebisa Bekele

“…Quantitative analysis, utilizing ANCOVA, revealed that TBSI positively influenced students' English speaking perception, particularly in areas related to their speaking performances during English language learning. …”
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