Chest CT in Pulmonary Fibrosis: A Narrative Review of Imaging Patterns and Their Prognostic Significance by Mehrshad Dabbagh, Mohammad Amin Shajareh Pour Salavati, Yas Zeinaly Parizi

“…Despite substantial advances, challenges such as inter-reader variability, limited access to quantitative software, and unstandardized CT protocols persist. …”
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Epidemiological tracking and population assignment of the non-clonal bacterium, Burkholderia pseudomallei. by Julia Dale, Erin P Price, Heidie Hornstra, Joseph D Busch, Mark Mayo, Daniel Godoy, Vanaporn Wuthiekanun, Anthony Baker, Jeffrey T Foster, David M Wagner, Apichai Tuanyok, Jeffrey Warner, Brian G Spratt, Sharon J Peacock, Bart J Currie, Paul Keim, Talima Pearson

“…As there is currently no independent empirical measure of successful population assignment, we provide comprehensive analytical details of our comparisons to enable the reader to evaluate the robustness of population designations and assignments as they pertain to individual research questions. …”
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Progress and Trends in Image Processing Applications in Civil Engineering: Opportunities and Challenges by Ashwini A. Salunkhe, R. Gobinath, S. Vinay, Leo Joseph

“…Technological advancements in electronic storage have been trending for cloud computing. The revolution of this computer technology with machine learning and artificial intelligence has created prodigious platforms to the various disciplines of science and technology. …”
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Entity-level cross-modal fusion for multimodal chinese agricultural diseases and pests named entity recognition by Jingzhong Huang, Xia Hao, Yu Wang, Ruizhi Song, Zenan Mu, Wen Chu, Georgios Papadakis, Sijie Niu, Xuchao Guo

“…Named Entity Recognition11 To improve clarity and accessibility for readers unfamiliar with the topic, we provide definitions of key terms used throughout the paper, along with relevant references for further reading, as shown in Table 5 in Appendix A. …”
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Securing RFID With GNN: A Real-Time Tag Cloning Attack Detection System by Bojun Zhang

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Advancing precision oncology with AI-powered genomic analysis by Ruby Srivastava

“…The scope of this text is broad yet focused, providing readers with a comprehensive overview of how AI-powered bioinformatics and integrative multiomics approaches are transforming precision oncology. …”
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A lightweight construction method for substation digital twin by GUO Jia, XIE Jinghai, SUN Mi, SU Dongyu, WANG Tao, YANG Youhang, WANG Shaorong

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Successful Non Surgical Endodontic Management of Multi-fractured Maxillary Anterior Teeth: A Two-year Follow-up by Aashish Handa, Kanwalpreet Kaur Bhullar, Manpreet Kaur, Roohan Malhar Sandhu, Smiley Goyal

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BioAug-Net: a bioimage sensor-driven attention-augmented segmentation framework with physiological coupling for early prostate cancer detection in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Hanen Karamti, Raed Alharthi, Julius Selecky

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Understanding and Improving 18F-Fluciclovine PET/CT Reports: A Guide for Physicians Treating Patients with Biochemical Recurrence of Prostate Cancer by Benjamin H. Lowentritt, Michael S. Kipper

“…., elevated prostate-specific antigen (PSA) levels post-treatment. 18F-Fluciclovine PET/computed tomography (CT) imaging reports now play central roles in many physician-patient discussions. …”
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FORMATION OF INFORMATION AND DIGITAL COMPETENCE OF PRIMARY SCHOOL PUPILS IN THE CONTEXT OF THEIR CYBER SOCIALIZATION by Valeria V. Styehantseva

“…It should be especially taken into account that the process of active introduction of information and computer technologies in all spheres of life is accompanied by uneven access to digital technologies due to the differentiation of territories and uneven development in different social and age groups. …”
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Factors of chemoresistant pulmonary tuberculosis progression in patients receiving palliative treatment by O. M. Raznatovska, G. V. Khudiakov

“…Studies of serum TNF-α level were determined by enzyme-linked immunosorbent assay using immunoenzymometric reader Sirio S and a set “Bender MedSystems GmbH” (Austria), (pg/ml). …”
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Explainable AI for Symptom-Based Detection of Monkeypox: a machine learning approach by Gizachew Mulu Setegn, Belayneh Endalamaw Dejene

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PAIR'14 / PAIR'15 STUDENT CONFERENCES ON PLANNING IN ARTIFICIAL INTELLIGENCE AND ROBOTICS by Editorial Foreword

“…The first year of PAIR has been organized at the Dept. of Computer Science, Faculty Electrical Engineering, Czech Technical University in 2014.…”
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Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly Research by Yuerong Hu, Jana Diesner, Ted Underwood, Zoe LeBlanc, Glen Layne-Worthey, John Stephen Downie

“…Attracted by the promise of a broader and more egalitarian sample of readers than published book reviews provide, researchers are increasingly scraping social reviewing platforms like Goodreads for data about readers’ behavior. …”
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Editors' Note by Ellen R. Cohn, Jana Cason

“…</p><p>Finally, the third article co-authored by Watzlaf (health information management, with degrees in public health and epidemiology), DeAlmeida (health information systems, with a degree in cell and molecular biology), Zhou (with degrees in computer science and physics, and expertise in mathematical modeling on health related topics, information integration, and comparative genomics), and Hartman (a reference librarian with a degree in chemistry, who collaborates with faculty in the health sciences and serves as a liaison to a school of health and rehabilitation sciences) describes a protocol to conduct systematic reviews of research in telerehabilitation, with the aim that IJT readers can ultimately apply this protocol to identify best practices in telerehabilitation.…”
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Analysis of patient medical exposure in X-ray diagnostics in Russia for half a century (1970–2019) by S. A. Kalnitsky, N. V. Tselikov

“…During last 50 years, firstly in the RSFSR in the USSR (1970-80), then in the Russian Federation - RF (1990-2019), the authors studied the radiation safety issues of patients from medical exposure. The reader is offered a complex radiation-hygienic analysis of the 50-year medical exposure of patients and of the population in Russia to inform and analyze the available data on the most common type of use of ionizing radiation sources in the national economy. …”
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First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

“…RuPatient health information system (HIS) is a computer program consisting of a doctor-patient web user interface, which includes algorithms for recognizing medical record text and entering it into the corresponding fields of the system.Aim. …”
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Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers by Reza Kalantar, PhD, Manasi Ingle, FRCR, Romelie Rieu, BA, BmBCh, Sebastian Curcean, MD, Jessica Mary Winfield, PhD, Gigin Lin, MD, PhD, Christina Messiou, MD, MRCP, FRCR, Susan Lalondrelle, FRCR, Dow-Mu Koh, MD, FRCP, FRCR, Matthew David Blackledge, PhD

“…A quantitative evaluation and blinded human reader assessment were conducted to establish contour acceptance rates. …”
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