Rapid Detection of Astaxanthin in Antarctic Krill Meal by Computer Vision Combined with Convolutional Neural Network by Quantong ZHANG, Yao ZHENG, Liu YANG, Shuaishuai ZHANG, Quanyou GUO

“…The model was built using the TensorFlow learning framework. The 5-fold cross-validation was used to tune and evaluate the model and select the optimal parameter model. …”
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Precision Imaging for Early Detection of Esophageal Cancer by Po-Chun Yang, Chien-Wei Huang, Riya Karmakar, Arvind Mukundan, Tsung-Hsien Chen, Chu-Kuang Chou, Kai-Yao Yang, Hsiang-Chen Wang

“…This study underscores the potential of deep learning identification models to aid in medical detection research. …”
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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

“…Experimental results on three HSI datasets demonstrate that the proposed STMamba outperforms existing state-of-the-art deep learning and transformer-based methods.…”
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Point of Care Ultrasound (POCUS) Utilization and Barriers by Senior Emergency Medicine and Critical Care Residents at Two Teaching Referral Hospitals, Addis Ababa, Ethiopia by Ayalew Zewdie Tadesse, Temesgen Beyene Abicho, Dirijit Mamo Alemu, Anne Aspler

“…Forty-two (55.3%) residents preferred to complete face-to-face teaching, while 33 (43.4%) preferred blended learning both face-to-face and online. Conclusion. …”
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An advanced 3D lymphatic system for assaying human cutaneous lymphangiogenesis in a microfluidic platform by Minseop Kim, Sieun Choi, Dong-Hee Choi, Jinchul Ahn, Dain Lee, Euijeong Song, Hyun Soo Kim, Mijin Kim, Sowoong Choi, Soojung Oh, Minsuh Kim, Seok Chung, Phil June Park

“…In addition, we rapidly analyzed prolymphangiogenic effects using methods that incorporate a high-speed image processing system and a deep learning-based vascular network analysis algorithm by 12 indices. …”
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A Survey on Event Tracking in Social Media Data Streams by Zixuan Han, Leilei Shi, Lu Liu, Liang Jiang, Jiawei Fang, Fanyuan Lin, Jinjuan Zhang, John Panneerselvam, Nick Antonopoulos

“…Event tracking in social networks finds various applications, such as network security and societal governance, which involves analyzing data generated by user groups on social networks in real time. Moreover, as deep learning techniques continue to advance and make important breakthroughs in various fields, researchers are using this technology to progressively optimize the effectiveness of Event Detection (ED) and tracking algorithms. …”
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A patient-based iPSC-derived hepatocyte model of alcohol-associated cirrhosis reveals bioenergetic insights into disease pathogenesis by Bani Mukhopadhyay, Cheryl Marietta, Pei-Hong Shen, Abdul Oiseni, Faridoddin Mirshahi, Maria Mazzu, Colin Hodgkinson, Eli Winkler, Qiaoping Yuan, Daniel Miranda, George Kunos, Arun J. Sanyal, David Goldman

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Recognition of Health Care Provider's Patient Safety Culture in Kurdistan/Iraq by Ismail Ahmed Ali, Shewaz Abdalrahman Hussein, Shelan Omar Ali, Fuaad Azad Muhamad

“…However, only two dimensions from 11 had reached positive response rate by respondents which include teamwork within Units (76.2%) and organizational learning (79%) dimensions, while the lowest dimension’s positivity include the frequency of reporting errors (4.6%). …”
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University management: Technology for monitoring the reputation of an educational brand by T. D. Sinyavets, E. A. Luneva, N. V. Katunina

“…An important consequence of the ongoing changes is the reorientation of the activities of universities to the domestic market, the development of new educational programmes, and learning technologies. Against the background of growing competition in this direction, the reputation of an educational institution is acquiring an increasing importance in the eyes of various stakeholders.Aim. …”
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Formation of Ethical Competences for AI Use in English Foreign Language Teachings by Clara Abisheva, Zina Koldasbaeva, Nazym Nossiyeva, Nazilya Irgebaeva, Аinash Aipova, Saule Doldinova, Samat Smoilov, Ryskeldy Aykenova, Lyazzat Umirzakova, Mapruza Idrissova

“…These competences offer a framework for developing future EFL teaching and learning programs that maximize AI’s benefits while addressing potential ethical challenges. …”
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Recent Developments in Heavy Metals Detection: Modified Electrodes, Pretreatment Methods, Prediction Models and Algorithms by Yujie Shi, Shijie Zhang, Hang Zhou, Yue Dong, Gang Liu, Wenshuai Ye, Renjie He, Guo Zhao

“…To address these issues, two potential solutions have been proposed: the development of advanced algorithms (such as machine learning (ML), back-propagation neural network (BPNN), support vector machines (SVM), random forests (RF), etc.) for signal processing and the use of pretreatment methods (such as Fenton oxidation (FO), ozone oxidation, and photochemical oxidation) to suppress such interferences. …”
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Penerapan Library AR.js pada Aplikasi e-Label Batik untuk Mendukung Kejelasan dan Kecepatan Tampilnya Informasi Keaslian Batik by Paminto Agung Christianto, Restyandito Restyandito, Eko Budi Susanto, Moh. Reza Maulana

“…Hence, needed a tool in the form of applications that can be used by the public to recognize the authenticity of batik, as well as a medium of learning about various things related to original batik.  …”
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Integrating Drone Truthing and Functional Classification of Remote Sensing Time Series for Supervised Vegetation Mapping by Giacomo Quattrini, Simone Pesaresi, Nicole Hofmann, Adriano Mancini, Simona Casavecchia

“…Unlike traditional ground truthing activities, drone truthing enabled the generation of large, spatially balanced reference datasets, which are critical for machine learning classification systems. These datasets improved classification accuracy by ensuring a comprehensive representation of vegetation spectral variability, enabling the classifier to identify the key phenological patterns that best characterize and distinguish different vegetation types across the landscape. …”
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Data from Emergency Medical Service Activities: A Novel Approach to Monitoring COVID-19 and Other Infectious Diseases by Daniele del Re, Luigi Palla, Paolo Meridiani, Livia Soffi, Michele Tancredi Loiudice, Martina Antinozzi, Maria Sofia Cattaruzza

“…<b>Conclusions</b>: This novel approach, combined with a machine learning predictive approach, could be a powerful public health tool to signal the start of disease outbreaks and monitor the spread of infectious diseases.…”
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Variative Components of the University Course of Mathematical Analysis: The Experience of Introduction into the Practice of Teaching by S. I. Кalinin, L. V. Pankratova

“…The results of the formation of professional competencies of future graduates obtained during pedagogical measurements (questionnaires, surveys of students, observation of their educational and research achievements) confirmed the effectiveness of using the designed variable components of the discipline “Mathematical Analysis” in the learning process.Practical significance. The research material and the authors’ conclusions described in the present article can be useful for methodologists of higher school and teachers of mathematics interested in improving the quality of mathematical training in universities.…”
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THE DIGITAL FRONTIER: STRATEGIES AND TOOLS FOR CULTIVATING EDUCATIONAL-STRATEGIC COMPETENCE  FOR PRE-SERVICE TEACHERS by Vira Svyrydiuk, Ostap Bodyk, Larysa Kalinina, Nataliya Prokopchuk, Nina Khrystych

“…The article presents metacognitive, cognitive, and communicative learning strategies based on the utilization of digital tools in detail. …”
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Hybrid Quality-Based Recommender Systems: A Systematic Literature Review by Bihi Sabiri, Amal Khtira, Bouchra El Asri, Maryem Rhanoui

“…This study employs ASReview, an open-source application that uses active learning to help academics filter literature efficiently. …”
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Climate change impact assessment on groundwater level changes: A study of hybrid model techniques by Stephen Afrifa, Tao Zhang, Xin Zhao, Peter Appiahene, Mensah Samuel Yaw

“…The HM is made up of a Bayesian model averaging (BMA) and three machine learning models: random forest (RF), support vector machine (SVM), and artificial neural network. …”
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Recommendations for improving accessibility of digital health interventions for cardiometabolic disease for ethnically diverse populations by Mel Ramasawmy, Nushrat Khan, David Sunkersing, Madiha Sajid, Shivali H Modha, Manoj Mistry, Wasim Hanif, Fiona Stevenson, Kiran Patel, Kamlesh Khunti, Paramjit Gill, Lydia Poole, Amitava Banerjee

“…Discussions covered four areas: actions to support individuals to access and benefit from DHIs; translating learning about inclusive design into practice; the role of regulation and evaluation to improve inclusivity of DHIs used within the health service; and improving quality of data collection and use to reduce inequalities related to digital health and cardiometabolic disease. …”
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Conceptual model of sustainable development of pedagogical staff competences in quality assurance of higher education by Andrii Biloshchytskyi, Andrii Biloshchytskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Oleksandr Kuchanskyi, Yurii Andrashko, Aidos Mukhatayev, Khanat Kassenov

“…Thus, the authors proposed an innovative approach to improving the level of competence of teachers of higher education institutions, which is focused on the effective assimilation of learning outcomes not only directly by teachers, but also by students of academic groups in which these teachers teach.…”
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