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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Development of a warning model for drug-induced liver injury in the older patients by Qiaozhi Hu, Qiaozhi Hu, Xiaoqi Li, Xiaoqi Li, Dan Zou, Zhiyao He, Zhiyao He, Ting Xu

“…The performance of 8 ML algorithms—XGBoost, LightGBM, Random Forest, AdaBoost, CatBoost, Gradient Boosting Decision Trees, Artificial Neural Network, and TabNet—was assessed. …”
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A novel deep learning approach for investigating liquid fuel injection in combustion system by Syed Azeem Inam, Abdullah Ayub Khan, Noor Ahmed, Tehseen Mazhar, Tariq Shahzad, Sunawar Khan, Mamoon M. Saeed, Habib Hamam

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DMSA-Net: a deformable multiscale adaptive classroom behavior recognition network by Chunyu Dong, Jing Liu, Shenglong Xie

“…In the intelligent transformation of education, accurate recognition of students’ classroom behavior has become one of the key technologies for enhancing the quality of instruction and the efficacy of learning. …”
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Using Age- and Size-Corrected Measures of Technical Skill to Better Assess the Performances of Youth Soccer Players by Thiago V. Camata, Andrew H. Hunter, Nicholas M. A. Smith, Mathew S. Crowther, Paulo R. P. Santiago, Robbie S. Wilson

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Designing and planning a bioethanol supply chain network under uncertainty using a data-driven robust optimization model under disjunctive uncertainty sets by Farzaneh MansooriMooseloo, Maghsoud Amiri, Mohammad Taghi Taghavi Fard, Mostafa Hajiaghaei-Keshteli

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The future of AI in government services and global risks: insights from design fictions by Pedro Vitor Marques Nascimento, Paloma Beatriz Belchior de Siqueira, Nathalia Chrispim, Ramon Miranda Chaves, Carlos Eduardo Barbosa, Jano Moreira de Souza

“…The findings highlight three critical dilemmas: (1) AI’s dual role in enhancing efficiency while exacerbating algorithmic bias and surveillance concerns; (2) the potential displacement of human roles in public services, raising questions about accountability and transparency; and (3) the ethical trade-offs in AI-driven decision-making, particularly in law enforcement, healthcare, and education. …”
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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

“…The latest guidelines contain simplified algorithms for management of patients with AH. It is shown that in most patients, a preference should be made for combinations of renin-angiotensin-aldosterone system blocker (inhibitors of angiotensin-converting enzyme or angiotensin II receptor blockers) with a slow calcium channels blocker and/or thiazide/thiazide-like diuretic. …”
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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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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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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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The CD163 + tissue-infiltrating macrophages regulate ferroptosis in thyroid-associated ophthalmopathy orbital fibroblasts via the TGF-β/Smad2/3 signaling pathway by Xuemei Li, Siyi Wang, Hanwen Cao, Simin Xu, Chao Xiong, Jinhai Yu, Yunxiu Chen, Zhangjun Ren, Min Li, Ying Hu, Puying Gan, Qihua Xu, Yaohua Wang, Hongfei Liao

“…Finally, potential clinical drugs targeting CD163 + macrophages with high ferroptosis activity in TAO were predicted using the Random Walk with Restart (RWR) algorithm combined with the DGIdb database. …”
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Hip-spine syndrome: Diagnostic difficulties by A. A. Kargaltsev, M. A. Makarov, S. A. Makarov, A. M. Lila

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THE ROLE OF ARTIFICIAL INTELLIGENCE IN ECONOMIC TRANSFORMATION: FROM AUTOMATION TO THE DATA ECONOMY by Viktoriia Mykytas

“…However, it also raises profound concerns related to job displacement, unequal access to retraining, data privacy, and algorithmic transparency. The development of human capital through lifelong learning, digital upskilling, and educational reform is identified as a core component of economic resilience in the AI era. …”
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BRIDGING PROFESSIONAL IDENTITY AND DIGITAL PLATFORMS: A COMPREHENSIVE STUDY OF SELF-MARKETING AND CAREER DEVELOPMENT by Aram Qadir, Jacek Binda

“…This empirical investigation provides a foundation for further analysis with an expanded sample and the exploration of the algorithmic effects of digital platforms on content visibility. …”
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Artificial Intelligence in Diagnosis and Management of Nail Disorders: A Narrative Review by Vishal Gaurav, Chander Grover, Mehul Tyagi, Suman Saurabh

“…Materials and Methods: A literature review on AI in nail disorders was conducted via PubMed and Google Scholar, yielding relevant studies. AI algorithms, particularly deep convolutional neural networks (CNNs), have demonstrated high sensitivity and specificity in interpreting nail images, aiding differential diagnosis as well as enhancing the efficiency of diagnostic processes in a busy clinical setting. …”
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Intelligent technology for construction of tutoring integrated expert systems: new aspects by Galina V. Rybina

“…The main aim of this paper is to acquaint readers of the journal “Open Education” with the accumulated experience of construction and practical use in the educational process of Cybernetics Department of the National Research Nuclear University MEPhI of a special class of intelligent tutoring systems, based on the architectures of tutoring integrated expert systems. …”
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Design of a clinical balance tool for fall risk assessments: A development and usability study. by Jennifer Hornung Garvin, Virginia M Yazzie, Natalie A Katsuyama, Truman Rudloff, Lise C Worthen-Chaudhari, Ajit M W Chaudhari

“…The QuPI supplemented and facilitated the use of standard algorithms for fall risk assessment. Greater education of the entire care team regarding evidence-based fall risk assessment will promote adherence to guidelines and fall prevention.…”
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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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