Development and evaluation of deep neural networks for the classification of subtypes of renal cell carcinoma from kidney histopathology images by Amit Kumar Chanchal, Shyam Lal, Shilpa Suresh

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Web-based digital twin online laboratories: Methodologies and implementation [version 2; peer review: 1 approved, 2 approved with reservations] by Zhongcheng Lei, Wenshan Hu, Hong Zhou, Guo-Ping Liu

“…Background: Online laboratories that provide online experimentation are crucial for education and research in all fields of engineering. …”
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GUIDELINES ON ARTERIAL HYPERTENSION MANAGEMENT OF THE EUROPEAN SOCIETY OF CARDIOLOGY AND EUROPEAN SOCIETY OF HYPERTENSION 2018: WHAT’S NEW? by A. A. Klimenko, D. A. Anichkov, N. A. Demidova

“…Special emphasis is made on evaluation of patient’s treatment adherence as the main reason for insufficient BP control, as well as on increased role of nurses and pharmacists in education, monitoring, and support of patients with AH being an important part of general strategy of BP control.…”
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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

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Marker-Less Navigation System for Anterior Cruciate Ligament Reconstruction with 3D Femoral Analysis and Arthroscopic Guidance by Shuo Wang, Weili Shi, Shuai Yang, Jiahao Cui, Qinwei Guo

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The Analytical System for Determining the Attitude of Students to the University by Violeta Tretynyk, Mariia Pinda

“…In the context of the rapid development of higher education and growing competition between educational institutions, understanding students’ attitude towards the university becomes critical to improving the quality of educational services. …”
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The use of phase voltage modules to select the damaged phase in case of single-phase earth faults by V. A. Shabanov, A. V. Sorokin

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THE FORMATION OF INFORMATICS COMPETENCY FOR FUTURE COMPUTER SCIENCE TEACHERS IN THE PROCESS OF STUDYING COMPUTER MATHEMATICS by Варвара Черненко

“…Relevance and expediency of introduction of a training course of computer mathematics for students of “Secondary Education (Computer Science)” is caused by necessity of use of computer equipment with the corresponding software almost in all areas of human activity; the fact that computer mathematics is one of priority directions of research work both in the field of mathematical sciences, and in the field of computer science. …”
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Machine learning for improved size estimation of complex marine particles from noisy holographic images by Zonghua Liu, Zonghua Liu, Marika Takeuchi, Yéssica Contreras, Thangavel Thevar, Alex Nimmo-Smith, John Watson, Sarah L. C. Giering

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Update Management of Atopic Dermatitis by Indri Widya Sari, Sarah Diba, Nopriyati, Athuf Thaha, Raden Pamudji, Fitriani

“…Approach the disease by performing etiopathogenesis algorithms, clinical manifestations, diagnosis, and treatment. …”
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Organ‐based clues for diagnosis of inborn errors of immunity: A practical guide for clinicians by Fatemeh Mohammadi, Amirhossein Yadegar, Mahta Mardani, Aryan Ayati, Hassan Abolhassani, Nima Rezaei

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ARchitect: advancing architectural visualization and interaction through handheld augmented reality by Sabahat Israr, Sabahat Israr, Mudassar Ali Khan, Muhammad Shahid Anwar, Kamran Ahmad Awan, Saoucene Mahfoudh, Turki Althaqafi, Wadee Alhalabi, Wadee Alhalabi

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A CFD Study of the Hydrodynamic Characteristics of an Autonomous Underwater Helicopter by Hoang-Phuong Vu, Thanh-Long Le, Tran-Hanh Phung, Thanh-Truong Nguyen, Thi-Hong-Nhi Vuong, Tran-Phu Nguyen

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Deep learning and artificial intelligence for drug discovery, application, challenge, and future perspectives by Nouman Ali, Nimra Hanif, Hassan Abbas Khan, Muhammad Abdullah Waseem, Afshan Saeed, Sadia Zakir, Abeeha Khan, Mejerrah Aamir, Adeeba Ali, Aamir Ali, Amna Saleem

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Cognitive performance classification of older patients using machine learning and electronic medical records by Monika Richter-Laskowska, Ewelina Sobotnicka, Adam Bednorz

“…For distinguishing healthy controls from those with dementia, the most influential factors include the IADL scale, the Activities of Daily Living (ADL) scale, education, vitamin D3 levels, and age. Here, the Random Forest algorithm demonstrates superior performance, achieving 84% accuracy, an AUC of 0.96, and an MCC of 0.71. …”
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Psychogenic overeating: problems of classification, diagnosis, approaches to psychotherapy (literature review) by T. A. Karavaeva, M. V. Fomicheva

“…It is noted, that it is promising to develop algorithms for diagnostics and therapy of the described nosology, the feasibility of identifying individual targets of psychotherapeutic interventions to create personalized complex programs that increase the effectiveness of therapy in relation to immediate and long-term results.…”
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A Review of the Performance of Smart Lawnmower Development: Theoretical and Practical Implications by Elwin Nesan Selvanesan, Kia Wai Liew, Chai Hua Tay, Jian Ai Yeow, Yu Jin Ng, Peng Lean Chong, Chun Quan Kang

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Research on RBF-PID hybrid drive control models for drone pesticide applications in tropical orchards by Ruipeng Tang, Jianrui Tang, Narendra Kumar Aridas, Mohamad Sofian Abu Talip, Loy Chee Luen

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Virtual adaptation of a nurse-driven strategy to improve blood pressure control among people with HIV by Melissa Klein Cutshaw, Kelley A. Jones, Nwora Lance Okeke, Corrilynn O. Hileman, Barbara M. Gripshover, Angela Aifah, Gerald S. Bloomfield, Charles Muiruri, Valerie A. Smith, Rajesh Vedanthan, Allison R. Webel, Hayden B. Bosworth, Christopher T. Longenecker

“…The AAIM High strategy is a virtual adaptation of our previously published EXTRA-CVD strategy and consisted of hypertension education and six components: nurse-led care coordination (delivered by teleconference or telephone), home systolic blood pressure (SBP) monitoring, evidence-based treatment algorithms, electronic health records tools, technology coach, and communication preferences assessment. …”
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Dyslexia Analysis and Diagnosis Based on Eye Movement by R. Vaitheeshwari, Chih-Hsuan Chen, Chia-Ru Chung, Hsuan-Yu Yang, Shih-Ching Yeh, Eric Hsiao-Kuang Wu, Mukul Kumar

“…We introduce a novel fusion model that integrates various machine learning algorithms to objectively and automatically assess dyslexia using physiological data derived from user interactions. …”
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