Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…We searched Embase, MEDLINE, and PubMed databases for articles relevant to study objectives, complying with PRISMA guidelines, rated study quality using validated tools, and extracted data according to modified CHARMS criteria. …”
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Human-Oriented Approach in Forming of Key Competences of Civil Servants in the Conditions of Digital Transformation of the Economy by E. V. Vasilieva, V. N. Pulyaeva, V. A. Yudina

“…The main conclusions are formulated on the need to use analytical tools to monitor the current level of public civil service competencies development, as well as to develop recommendations about modeling in further professional and career growth. …”
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Recognition and Evaluation of Architectural Heritage Value in Fujian Overseas Chinese New Villages by Jing Hu, Hanyi Wu, Fan Huo, Zhihong Chen

“…By transcending conventional single-dimensional approaches, this study offers replicable analytical tools for differentiated conservation strategies and policy formulation.…”
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SIGNAL MODEL FOR SPATIAL POSITION SENSORS IN MAGNETIC TRACKING SYSTEMS by Roman Holyaka, Tetyana Marusenkova, Dmytro Fedasyuk

“…The model describes functional dependencies whose main parameters are the distances and angles between coils. …”
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Development and validation of a machine learning model for prediction of cephalic dystocia by Yumei Huang, Xuerong Ran, Xueyan Wang, Defang Wu, Zheng Yao, Jinguo Zhai

“…Abstract Background Early detection of cephalic dystocia is challenging, and current clinical assessment tools are limited. Machine learning offers unique advantages, enabling the generation of predictive models using various types of clinical data. …”
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Assessing the readiness of russian industrial enterprises for digital integration in the new economic conditions by N. M. Abdikeev, O. V. Kozhevina

“…The study’s aim is to generalize related approaches and tools for analyzing the digital transformation of industrial enterprises and to develop a methodological approach to assessing the readiness of Russian industrial enterprises for digital integration. …”
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Problems of information technology support for implementation BIM concepts by L. I. Malyavkina, A. G. Savina, D. A. Savin

“…The interpretation of the interoperability reference model in relation to BIM technology can be used to develop the integration capabilities of BIM tools in a single information technology environment of general data, and also become a methodological basis for creating an open national data exchange standard.…”
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Relationships between horizontal jump kinematics and sprint performance in female sprinters and team sport athletes by Bjørn Johansen, Roland van den Tillaar, Jonathon Neville

“…These findings suggest that selected horizontal jump tests may be effective tools for both performance assessment and sprint-specific training.…”
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Chronic Lymphocytic Leukemia: Investigation of Survival and Prognostic Factors with Drug-Related Remission by Gökhan Pektaş, Ercan Gönül, Şeyma Öncü, Merve Becit Kızılkaya, Gökhan Sadi, Mehmet Bilgehan Pektaş

“…<b>Background/Objectives:</b> Understanding the pathogenesis of chronic lymphocytic leukemia (CLL) has led to the development of new prognostic and diagnostic tools, and efforts are underway to extend survival with new prognostic markers and treatment agents. …”
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Comparison of Trauma Scoring Systems for Predicting Mortality in Emergency Department Patients with Traffic-Related Multiple Trauma by Murtaza Kaya, Harun Yildirim, Mehmet Toprak, Mehmed Ulu

“…<b>Background/Objectives:</b> Trauma scoring systems are essential tools for predicting clinical outcomes in patients with multiple injuries. …”
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Methodology for Assessing the Level of Greenhouse Gas Emissions in Agricultural Crops Production by N. I. Dzhabborov, A. P. Mishanov, A. M. Zakharov, A. M. Dobrinov

“…Current findings indicate the absence of a systematic approach and tools for a comprehensive assessment of greenhouse gas emissions from crop production. …”
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SUSTAINABLE DEVELOPMENT OF THE AGRO-INDUSTRIAL COMPLEX AND RURAL TERRITORIES OF THE REGIONS by Mukhamed M. Shakhmurzov, Anatoliy S. Gordeev, Valery V. Kulintsev, Yusupzhan A. Yuldashbaev, Nina V. Konik, Radina A. Ulimbasheva, Murat B. Ulimbashev

“…We suggest, developed by us, a scheme of the guaranteed strategic development of rural areas which can be implemented in any region of Russia subject to the creation of maps of land zoning, development of regional and municipal schemes for the rational allocations, production and processing of agricultural products, development of a package of regulatory and legal documents, practical tools and recommendations, regulatory and legal framework for improving leases, development of a methodology to monitor the current state of the rural areas and their reserves of socio-economic the development.…”
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Towards understanding the ecology and mechanisms of biocontrol of Clonostachys rosea IK726 by Mette Lübeck, Inge M B Knudsen, Birgit Jensen, Mojtaba Mamarabadi, Dan Funck Jensen

“…In order to develop and improve application methods and control strategies, essential basic studies of ecology and the mechanisms of control of IK726 is needed and has led us to use various molecular tools. The UP-PCR technology is used for strain recognition and we have developed GUS and GFP-transformants that resembles the wildtype strain in ecological fitness parameters. …”
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Vulnerability to COVID-19 Depending on the Regional Health Behaviour Patterns of the PopulationCountries’ Vulnerability to COVID-19 Depending on the Health Behaviour Patterns of th... by Nataliia Letunovska, Boliukh Viktoriia

“…This suggests that establishing dependencies requires more input parameters to describe the model. It was determined that the consumption of healthy foods (milk, berries, fish) influences the mortality rate from COVID-19 (high, medium or low). …”
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Whole-genome mapping reveals QTLs linked to key agronomic traits in bi-parental populations of field cress (Lepidium campestre) by Kibrom B. Abreha, Cecilia Hammenhag, Felix Seifert, Mulatu Geleta

“…Conclusion This study identified QTLs for multiple domestication-related traits and provides genomic resources useful for applying novel breeding tools to accelerate field cress domestication and improvement.…”
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Comparing Physical Attribute Distinctions in Male Kho-Kho Positions by Sarita Tyagi, Anil Kumar Vanaik, Monika Wasuja, Dessalegn Wase Mola

“…The study aimed to investigate the differences in physical and anthropometric parameters between national level male Kho-Kho players categorized as Runners and Chasers. …”
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Genomic prediction in Persian walnut: Optimization levers according to genetic architecture of complex traits by Anthony Bernard, Juliette Bénéjam, Morgane Roth, Fabrice Lheureux, Elisabeth Dirlewanger

“…Abstract Persian walnut (Juglans regia L.) is a widespread cultivated nut tree species in temperate regions. Advances in genomic tools, such as the high‐density Axiom J. regia 700K single nucleotide polymorphism (SNP) genotyping array, enable the exploration of genomic prediction (GP) for this crop. …”
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Assessment of road-cut slope stability using empirical, numerical, and machine learning methodologies by Virat Singh Chauhan, Md. Rehan Sadique, Mohd. Masroor Alam, Mohd. Ahmadullah Farooqi

“…The objective is to evaluate the effectiveness of each approach and to assess the potential of advanced machine learning models as viable validation tools for conventional slope stability assessment outcomes. …”
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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

“…Emerging AI tools enhance disease classification, monitor progression, and support clinical decision-making. …”
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Advanced hybrid machine learning models with explainable AI for predicting residual friction angle in clay soils by Mawuko Luke Yaw Ankah, Shalom Adjei-Yeboah, Yao Yevenyo Ziggah, Edmund Nana Asare

“…Integrating high-performing machine learning models with interpretability tools significantly improves the accuracy and reliability of residual friction angle predictions, offering practical value for geotechnical engineering applications.…”
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