Cutting-Edge Stochastic Approach: Efficient Monte Carlo Algorithms with Applications to Sensitivity Analysis by Ivan Dimov, Rayna Georgieva

“…By performing SA, we can better manage risks associated with uncertain inputs and make more informed decisions based on the model’s outputs. …”
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Artificial intelligence technologies in predicting genetic disorders and in personalized primary and secondary prevention of brain infarction in young people by T. I. Dutova, I. N. Banin, N. A. Ermolenko

“…The designed programme can be an effective tool in making clinical decisions for the hospitalized BI population.…”
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MiceDEGdb: a knowledge base on differentially expressed mouse genes as a model object in biomedical research by O. A. Podkolodnaya, I. V. Chadaeva, S. V. Filonov, N. L. Podkolodnyy, D. A. Rasskazov, N. N. Tverdokhleb, K. A. Zolotareva, A. G. Bogomolov, E. Yu. Kondratyuk, D. Yu. Oshchepkov, M. P. Ponomarenko

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Indicators of Global Climate Change 2024: annual update of key indicators of the state of the climate system and human influence by P. M. Forster, C. Smith, C. Smith, T. Walsh, W. F. Lamb, W. F. Lamb, R. Lamboll, C. Cassou, C. Cassou, M. Hauser, Z. Hausfather, Z. Hausfather, J.-Y. Lee, J.-Y. Lee, M. D. Palmer, M. D. Palmer, K. von Schuckmann, A. B. A. Slangen, S. Szopa, B. Trewin, J. Yun, N. P. Gillett, S. Jenkins, H. D. Matthews, K. Raghavan, A. Ribes, J. Rogelj, J. Rogelj, J. Rogelj, D. Rosen, X. Zhang, M. Allen, M. Allen, L. Aleluia Reis, L. Aleluia Reis, R. M. Andrew, R. A. Betts, R. A. Betts, A. Borger, J. A. Broersma, S. N. Burgess, L. Cheng, P. Friedlingstein, P. Friedlingstein, C. M. Domingues, C. M. Domingues, M. Gambarini, M. Gambarini, T. Gasser, J. Gütschow, M. Ishii, C. Kadow, J. Kennedy, R. E. Killick, P. B. Krummel, A. Liné, A. Liné, A. Liné, D. P. Monselesan, C. Morice, J. Mühle, V. Naik, G. P. Peters, A. Pirani, J. Pongratz, J. Pongratz, J. C. Minx, J. C. Minx, M. Rigby, R. Rohde, A. Savita, A. Savita, S. I. Seneviratne, P. Thorne, C. Wells, L. M. Western, G. R. van der Werf, S. E. Wijffels, S. E. Wijffels, V. Masson-Delmotte, P. Zhai

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LarynxFormer: a transformer-based framework for processing and segmenting laryngeal images by Rune Mæstad, Abdul Hanan, Haakon Kristian Kvidaland, Haakon Kristian Kvidaland, Hege Clemm, Hege Clemm, Reza Arghandeh

“…Manual diagnostic methods for assessing exercise-induced laryngeal obstruction (EILO) contain human bias and can lead to subjective decisions. …”
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Information and analytical support of integrated reporting: evaluation of the stakeholders’ influence on the change of the created value by Yu. V. Novozhilova

“…Using the planned values of the original data one can predict the direction of change of the integrated index, which will make timely management decisions aimed at increasing the value creation.…”
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Path Planning Optimization of Smart Vehicle With Fast Converging Distance-Dependent PSO Algorithm by Muhammad Haris, Haewoon Nam

“…In intelligent transportation systems, effective path planning enables smart vehicles to navigate, select optimal routes, and make informed decisions. The goal is to identify a collision-free path that satisfies key criteria such as shortest distance and smoothness. …”
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Legal aspects of functional security standardisation of the Internet of Things by P. S. Klimushyn, V. Ye. Roh, T. P. Kolisnyk

“…IoT technologies provide smart things with the ability to make decisions in the management of physical objects using intelligence and consensus. …”
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Predicting Neoplastic Gallbladder Polyps: The Role of Current Surgical Indications and Preoperative Images by Ik Hyun Jo, Chang Nyol Paik, Hong Geun Ahn, Dong Do You, Jae Hyun Han, Hyun A Kim

“…In addition, knowledge of the patient's age, sex, and platelet count could help make more selective surgical decisions for neoplastic polyps.…”
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