Machine-learning emergent spacetime from linear response in future tabletop quantum gravity experiments by Koji Hashimoto, Koshiro Matsuo, Masaki Murata, Gakuto Ogiwara, Daichi Takeda

Subjects: “…machine-learning…”
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Large language models for chart review: how machine learning can accelerate hematology research by Barbara D. Lam, Peiqi Wang, Shengling Ma, Omid Jafari, Iuliia Kovalenko, Ang Li

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Creating a Successful Early Learning Environment for Children Who Have Autistic Spectrum Disorders by Heidi Liss Radunovich, Jessica L. Kochert

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Mapping forest-agroforest frontiers in the Peruvian Amazon with deep learning and PlanetScope satellite data by Wanting Yang, Daniel Ortiz-Gonzalo, Xiaoye Tong, Dimitri Gominski, Rasmus Fensholt

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THE USE OF E-LEARNING TOOLS IN TRAINING AND THE DEVELOPMENT OF SOCIAL-DIGITAL COMPETENCES IN THE GENERATIONAL Z GROUP by Izabela A. KOŁODZIEJ, Magdalena BOROWSKA

Subjects: “…e-learning tools…”
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On-site quantitative detection of fentanyl in heroin by machine learning-enabled SERS on super absorbing metasurfaces by Yingkun Zhu, Haomin Song, Ruiying Liu, Yunyun Mu, Murali Gedda, Abdullah N. Alodhay, Lei Ying, Qiaoqiang Gan

“…Our study introduces a novel approach for on-site quantitative detection of fentanyl in heroin, employing machine learning-enabled surface-enhanced Raman spectroscopy (SERS) on superabsorbing metasurfaces. …”
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STEM-based mathematics learning module with PBL model in improving higher-order thinking skills by Ayunda Nova Millania, Agus Prasetyo Kurniawan, Ahmad Lubab, Ahmad Choirul Anam

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Predicting turbidity dynamics in small reservoirs in central Kenya using remote sensing and machine learning by Stefanie Steinbach, Anna Bartels, Andreas Rienow, Bartholomew Thiong’o Kuria, Sander Jaap Zwart, Andrew Nelson

“…Here we modelled turbidity in 34 small reservoirs in central Kenya with Sentinel-2 data from 2017 to 2023 and predicted turbidity outcomes using primary and secondary Earth observation data, and machine learning. We found distinct monthly turbidity patterns. …”
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Applying the Aajiiqatigiingniq Research Methodology: approaches and lessons learned through collaborative survey development and analysis by Natalie Ann Carter, Shirley Tagalik, Gita Ljubicic

“…We followed the ARM in establishing partnerships, and developing and facilitating a survey, to learn how Nunavut community members use and share available weather, water, ice, and climate information. …”
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Clinical efficacy and learning curve of percutaneous endoscopic cervical discectomy for symptomatic cervical spondylotic radiculopathy by Xiao Sun, Lijuan Zhan, Zhongxin Tang, Mingkui Shen, Haijun Ma, Jun Tan

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University Students’ Needs and Educators’ Strategies: A Mixed-Methods Study on Ideal Learning Environments by Shahida Nurmatova, Mohammed Yaseen Abdulqader, Osman Abdulkadir Ahmed

“…Some of those key aspects of building an ideal learning environment include students’ educational needs, language proficiency, and motivation. …”
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Integrating radiological and clinical data for clinically significant prostate cancer detection with machine learning techniques by Luis Mariano Esteban, Ángel Borque-Fernando, Maria Etelvina Escorihuela, Javier Esteban-Escaño, Jose María Abascal, Pol Servian, Juan Morote

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A multi-stage deep learning network toward multi-classification of polyps in colorectal images by Shilong Chang, Kun Yang, Yucheng Wang, Yufeng Sun, Chaoyi Qi, Wenlong Fan, Ying Zhang, Shuang Liu, Wenshan Gao, Jie Meng, Linyan Xue

“…This paper presents an efficient deep learning method specifically developed to enhance the accuracy of CRPs classification, thereby assisting physicians in making informed decisions. …”
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Deep Learning and Wavelet Transform Combined With Multichannel Satellite Images for Tropical Cyclone Intensity Estimation by Chang-Jiang Zhang, Mei-Shu Chen, Lei-Ming Ma, Xiao-Qin Lu

Subjects: “…Deep learning…”
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Ready to learn from your students? Chinese undergraduate students' experiences of informal reverse mentoring by Yanjuan Hu, Zixi Zhou

“…We also discuss the potential of (informal) reverse mentoring as a tool for intergenerational learning and the key role of the supervisor as a change agent to innovate their interaction style with Generation Z students.…”
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Development of business skills at SMK ICB Cinta Niaga using project-based learning methods by Anggia Rachman Fauzan, Muhamad Fajrul Falah Khoiri, Nasywa Devinta Arifian

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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

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Identifying Problems in Entrepreneurship Learning at Vocational High Schools: TPACK and Sustainable Development Goals Alignment by Krisnaresanti Aldila, Naufalin Lina Rifda, Rokhayati Hijroh, Fajrianto

“…This study aims to identify various problems faced in entrepreneurship learning and the expectations of teachers to improve the quality of education according to the needs and developments of the 21st century. …”
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SiameseNet based on multiple instance learning for accurate identification of the histological grade of ICC tumors by Zhizhan Fu, Fazhi Feng, Xingguang He, Tongtong Li, Xiansong Li, Jituome Ziluo, Zixing Huang, Jinlin Ye

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NUMBERED HEADS TOGETHER LEARNING STRATEGY FOR INCREASING FRESHMEN STUDENTS’ ACHIEVEMENT IN LITERATURE THEORY COURSE by Fina Hiasa, Emi Agustina

“… This study aims to find out how the implementation of the Numbered Heads Together (NHT) learning model in Literature Theory courses can improve the quality of learning. …”
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