Integrating Single‐Cell Transcriptomics and Machine Learning to Define an ac4C Gene Signature in Lung Adenocarcinoma by Yuan Wang, Wei Su, Guangyao Zhou, Yijie Wang, Chunnuan Wu, Pengpeng Zhang, Lianmin Zhang

“…Results Cells with high ac4C activity showed increased intercellular communication and activation of tumor‐associated pathways. …”
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A Retrospective Analysis of Jordan’s National COVID-19 Call Center: Operations, Effectiveness, and Lessons Learned by Alrawashdeh A, Simmons N, Alhawarat M, Maayeh MS, Kheirallah KA

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Identification of novel potential hypoxia-inducible factor-1α inhibitors through machine learning and computational simulations by Yuxiang He, Shuning Diao, Shengzhen Hou, Taiying Li, Wenhui Meng, Jinping Zhang

“…The virtual screening was conducted in three sequential stages, applying the following selection criteria sequentially: an activity prediction score greater than or equal to 0.8, a stronger binding affinity, and an MM-PBSA binding free energy lower than the reference compound.Results and DiscussionWe retrieved 361 compounds with HIF-1α inhibitory activity data from the ChEMBL database for the construction and evaluation of machine learning models. …”
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Integrating bioinformatics and machine learning to elucidate the role of protein glycosylation-related genes in the pathogenesis of diabetic kidney disease. by Ziyang Liu, Zengyuan Qin, Wenxin Bai, Shasha Wang, Chunling Huang, Na Li, Lei Yan, Yue Gu, Fengmin Shao

“…This study aimed to investigate the role of protein glycosylation in DKD pathogenesis and its association with gene expression changes, with the goal of identifying diagnostic biomarkers and personalized therapeutic targets.<h4>Methods</h4>Integrated bioinformatics and machine learning approaches were applied to analyze multiple gene expression datasets. …”
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The influence of learning scenarios on pre-service science teachers’ conceptions of constructivist pedagogy and attitudes toward instructional technologies by Emin Tamer Yenen, Oktay Kızkapan

“…As such, enhancing teacher education programs with the integration of learning scenarios is both advantageous and should be actively promoted. …”
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Deep knowledge tracing and cognitive load estimation for personalized learning path generation using neural network architecture by Chunyan Tong, Changhong Ren

“…Experimental evaluations across multiple educational domains demonstrate that our approach outperforms existing methods in prediction accuracy (87.5%), path quality (4.4/5), and learning efficiency (24.6% improvement). …”
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Building Their Own Connections: University EFL Learners’ Culture Learning Through a Language MOOC on Source Culture by Qian Liu, Qi Chen, Yingqi Zhao, Ying Li

“…This study offers practical implications for LMOOC designers and addresses the need for EFL educators to reassess the goals and methods of culture teaching, promoting reflective engagement in culture learning in today’s globalized, technology-driven world.…”
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CryptoDNA: A Machine Learning Paradigm for DDoS Detection in Healthcare IoT, Inspired by Cryptojacking prevention Models by Zag ElSayed, Nelly Elsayed, Ahmed Abdelgawad

“…This study introduces CryptoDNA, an innovative machine learning detection framework influenced by cryptojacking detection methods, designed to identify and alleviate DDoS attacks in healthcare IoT settings. …”
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Evaluating the strength properties of high-performance concrete in the form of ensemble and hybrid models using deep learning techniques by Zhe Wang, Tao Sun, Yan Sun, Na Liu

“…Deep learning techniques, including hybrid and ensemble methods, were developed to predict these properties with high accuracy. …”
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Improving rainfall forecasting using deep learning data fusing model approach for observed and climate change data by Farhan Amir Fardush Sham, Ahmed El-Shafie, Wan Zurina Binti Wan Jaafar, S. Adarsh, Mohsen Sherif, Ali Najah Ahmed

“…Abstract Accurate rainfall forecasting is vital for managing water resources, preventing floods, supporting agricultural activities, and enhancing disaster preparedness. Traditional forecasting methods, such as linear regression, autoregressive models, and time-series analysis, are limited in their ability to capture the intricate and dynamic nature of rainfall patterns. …”
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Hospital-based innovation labs to accelerate digital health transformation: lessons learned from twenty types of experts by Eric R. Edelman, Joost G. E. Verbeek, Perry Hunen, Martijn de Groot, Nicole van Eldik, Marieke D. Spreeuwenberg

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A deep learning-based detection model and illumination-adaptive behavioral analysis for soldier crabs in the intertidal zone by Liangjun Li, Zhihao Ren, Cheng Tang, Shengning Lu, Yong Liang

“…However, due to their small size and tidal-driven activity patterns, conventional behavior detection methods suffer from low efficiency and considerable observer bias, particularly under dark conditions where detection errors and omissions are prevalent. …”
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PreMode predicts mode-of-action of missense variants by deep graph representation learning of protein sequence and structural context by Guojie Zhong, Yige Zhao, Demi Zhuang, Wendy K. Chung, Yufeng Shen

“…Finally, we show that PreMode enables efficient study design of deep mutational scans and can be expanded to fitness optimization of non-human proteins with active learning.…”
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Pengembangan Media Scratch Game Edukasi Berbasis Gaya Belajar untuk Meningkatkan Hasil Belajar IPAS Siswa Sekolah Dasar by Putri Fajri Ma'wa, Ika Ratnaningrum

“…Findings – This research was conducted with the development of educational Scratch game media based on learning styles that contain IPAS class V material about changes in the earth due to human activities. …”
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FOSTERING CURIOSITY IN SCIENCE THROUGH OPA OLENG: A WORD PUZZLE-BASED OUTDOOR LEARNING FOR JUNIOR HIGH SCHOOL by Wilda Muhimmatun Nisa, Rizki Arumning Tyas

“…Such approaches can be particularly valuable in science education, where promoting active exploration and interest is crucial. Schools and educators may consider incorporating outdoor word puzzle activities to support curiosity and enthusiasm for learning among students. …”
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Research of opportunities for the ecosystem approach to career planning by students at the State University of Management by E. V. Krasnov, A. D. Rudoy, I. V. Semenov, E. V. Sumarokova

“…The experience of intra-university cooperation using the STC (student team consulting) method between the marketing department and practical training department in 2022–2023 has showed that solving this problem involves integrating, on an ecosystem basis, activities for the study of professional academic disciplines, project-based learning, practical training, and employment. …”
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Techno-Stress of the Faculty Members in a Higher Education Institution: Basis for a Faculty Development Program by Cecile de Mesa Espiritu

“…The findings show that most faculty members are integrating technology into teaching activities, using it for more than 5 hours a week. They had moderate levels of techno-stress in the learning-teaching process and social and technical issue orientations, while they had low-stress levels in professional and personal orientations. …”
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A Review of Optical-Based Three-Dimensional Reconstruction and Multi-Source Fusion for Plant Phenotyping by Songhang Li, Zepu Cui, Jiahang Yang, Bin Wang

“…This paper reviews active vision techniques (such as structured light, time-of-flight, and laser scanning methods), passive vision techniques (such as stereo vision and structure from motion), and deep learning-based 3D reconstruction methods (such as NeRF, CNN, and 3DGS). …”
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Rancang Bangun Sistem Informasi Akademik Berbasis Website Dengan Metode SDLC by Wati Erawati, Sujiliani Heristian, Rachmat Adi Purnama

“…School really need an academic information system that supports and makes it easy for staff and parents of student.This research is motivated by a lack of information about children’s learning development. And because parents of schoolchildren lack information about their children's learning, the result is that parents do not know the development of their child’s school learning. …”
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Identifying the Effective Factors in the Development of Creative Tourism at Heritage Sites by Amir Mohammad Moazezi Mehr-e-Tehran

“…Criteria and Components Place CreativityCocreationLearning EnvironmentInclusivityHeritage DiversityCreative Experience Place ResponsibilitySafety and SecurityAccessibilityInfrastructure Economic VitalityMarketing and PromotionSense of PlaceHolistic DevelopmentCapacities Materials & MethodsThis study employed a mixed-methods approach, integrating both qualitative and quantitative research through the fuzzy Delphi method. …”
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