Multispheroidal model of magnetic field of uncertain extended energy-saturated technical object by B. I. Kuznetsov, T. B. Nikitina, I. V. Bovdui, K. V. Chunikhin, V. V. Kolomiets, B. B. Kobylianskyi

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Comparison of pulse pressure and stroke volume variations measured by three monitors in high-risk surgical patients by Barbora Cenková, Miloš Chobola, Vladimír Šrámek, Michal Šitina, Pavel Suk

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Dynamic programming method for fine-tuning the boundary points in automatic segmentation of speech by Marcin SZYMAŃSKI, Stefan GROCHOLEWSKI

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Conceptual basis of preventive counselling in patients with chronic non-communicable diseases and their risk factors by A. M. Kalinina

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Acute Posttransfusion Lung Injury: State-of-the-Art by A. V. Vlasenko, D. P. Pavlov, A. V. Cheparnov, D. A., Ostapchenko, A. K. Doloksaribu, D. A. Shestakov, V. N. Yakovlev, A. V. Shabunin

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Performance evaluation of geopolymer masonry units: A hybrid approach combining laboratory testing and AI modeling by Md. Zia Ul Haq, Sandeep Singh, Tarak Vora, A.K. Dasarathy, Kaushik Bharti, Vanitha S, Priyadarshi Das, Laura Ricciotti

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Discrete-Time Markovian Jump Linear Robust Filtering for Visual and GPS Aided Magneto-Inertial Navigation by Kenny A. Q. Caldas, Roberto S. Inoue, Marco H. Terra, Vitor Guizilini, Fabio Ramos

“…Sensor fusion is a major field in autonomous mobile robots navigation research. These methods integrate information obtained from accelerometers, rate gyros and monocular cameras to provide pose and orientation of the robot, which are known in the literature as Visual-Inertial Simultaneous Localization and Mapping systems. …”
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Low-cost Cascaded prototype for DC-DC converters for Renewable energy applications by Rerhrhaye Fathallah, Ennaciri Yassine, Rerhrhaye Badr, Lahlouh Ilyas, Khouili Driss, El Martaoui Chaymae, El Akkary Ahmed, Sefiani Nacer

“…The results show that the proposed design outperforms conventional converters, offering a more robust solution for optimizing energy extraction in PV systems. This research addresses key challenges in conventional converter designs and outlines future research directions, with potential applications in enhancing the performance of renewable energy systems..…”
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Lightweight Blockchain for Data Integrity and Traceability in IoT Networks by Laura Garcia, Carlos Cancimance, Rafael Asorey-Cacheda, Claudia-Liliana Zuniga-Canon, Antonio-Javier Garcia-Sanchez, Joan Garcia-Haro

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Multi-slice electron ptychographic tomography for three-dimensional phase-contrast microscopy beyond the depth of focus limits by Andrey Romanov, Min Gee Cho, Mary Cooper Scott, Philipp Pelz

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CYLD as a key regulator of myocardial infarction-to-heart failure transition revealed by multi-omics integration by Jingya Xu, Jingya Xu, Zhonghua Dong, Zhaodong Li, Xuan Wang, Xuan Wang

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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning by Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan

“…However, there is limited research on the application of machine learning (ML) models to this population. …”
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Bipolar disorders and creativity: the roles of ambition, effort-based decision-making, and exploration by Samson Tse, Sheri L. Johnson, Chong Ho Yu, Winnie Yuen, Iris Lo, Luke Clark, Luke Clark, Erin E. Michalak, Erin E. Michalak, Manon Ironside, Kiana Modavi

“…IntroductionEpidemiological research has shown those with bipolar disorders (BD) are more likely to work in creative professions. …”
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Performance of externally validated machine learning models based on histopathology images for the diagnosis, classification, prognosis, or treatment outcome prediction in female b... by Ricardo Gonzalez, Peyman Nejat, Ashirbani Saha, Clinton J.V. Campbell, Andrew P. Norgan, Cynthia Lokker

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Monitored reconstruction improved by post-processing neural network by A.V. Yamaev

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Improvement of cardiovascular risk assessment using machine learning methods by A. V. Gusev, D. V. Gavrilov, R. E. Novitsky, T. Yu. Kuznetsova, S. A. Boytsov

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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

“…The paper presents the results of research on working with the Dynamo-Revit bundle and Grasshopper-Rhino-Archicad bundle when creating plastic architectural forms of complex geometry. …”
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Quantum-Inspired Real-Time Optimization for 6G Networks: Opportunities, Challenges, and the Road Ahead by Trung Q. Duong, Long D. Nguyen, Bhaskara Narottama, James Adu Ansere, Dang Van Huynh, Hyundong Shin

“…Not only do we review the fundamental principles; we also explore the challenges and opportunities of this exciting research direction.…”
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Methodological aspects of optimizing Brigade rehabilitation patients at a psychiatric hospital by N. D. Nechaev

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Exploring the role of ferroptosis in pemphigus: identification of diagnostic markers and regulatory mechanisms by Jing Mao, Jianping Lan, Zheyu Zhuang, Ying Chen, Ying Chen, Yushan Ou, Xinhong Su, Xueting Zeng, Fuchen Huang, Zequn Tong, Xiaoqing Lv, Xiaoqing Lv, Xiaoqing Lv, Hui Ke, Zhenlan Wu, Ying Zou, Bo Cheng, Bo Cheng, Bo Cheng, Chao Ji, Chao Ji, Chao Ji, Ting Gong

“…Weighted Gene Co-expression Network Analysis (WGCNA) was employed to identify co-expressed gene modules related to pemphigus. Machine learning algorithms such as Least Absolute Shrinkage and Selection Operator (LASSO), Random Forest (RF), and eXtreme Gradient Boosting (XGBoost) were used to select key ferroptosis-related genes. …”
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