Comparative Analysis of the Capabilities of IPv6 and IPv4 Protocols to Provide the Designated Quality of Service by V. V. Bachilo, V. I. Dravitsa, N. I. Listopad

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Energy levels of an electron in a circular quantum dot in the presence of spin-orbit interactions by A. V. Baran, V. V. Kudryashov

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FINDING OF OPTIMAL SUBSET STRUCTURE IN THE KNAPSACK PROBLEM by S. V. Chebakov, L. V. Serebryanaya

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AN ESTIMATION OF FREQUENCY AND SPECTRUM OF CHROMOSOMAL ABERRATIONS IN PATIENTS WITH CONNECTIVE TISSUE DYSPLASIA IN CONDITIONS OF BLOOD CELLS CONTACT WITH NANOSTRUCTURED MATERIALS by М. V. Dvornichenko

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Application of machine learning with gradient descent method for load forecasting: a performance analysis by Saroj Kumar Panda, Manoj Kumar Panda

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Investigation on the Buckling Behavior of Normal Steel CHS Beam–Columns: A Revised Design Approach with Reliability Analysis by Musab Rabi

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A comparison of three executive function interventions on direct and far transfer in Chilean school children: a cluster-randomized controlled protocol by Nicholas Napolitano, Cristian A. Rojas-Barahona, Jorge Gaete, Ricardo Araya

“…Trial registration NCT06935656, April 20, 2025 [https//clinicaltrials.gov/study/NCT06935656] https//osf.io/9mp83, March 11, 2025.…”
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The training of cataloguers in Kemerovo State Institute of Culture by L. G. Taranenko, O. Ya. Sakova

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Environmental Reporting, Financial Fundamentals and Company Valuation: Insights from the Industrial Sector by Dan Gabriel Dumitrescu, Stefania Cristina Curea, Cristiana Ioana Coman, Anca Gabriela Ilie, Renate Bratu, Alma Pentescu

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High-Impact Practices (HIPs) Spectrum: Introducing the High-Engagement Experiences (HEEs) Taxonomy by Kathryn Marten, Dianne D. Murphy, Heather L. Kaminski, Mathew Dornbush

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Accelerating Wound Healing Through Deep Reinforcement Learning: A Data-Driven Approach to Optimal Treatment by Fan Lu, Ksenia Zlobina, Prabhat Baniya, Houpu Li, Nicholas Rondoni, Narges Asefifeyzabadi, Wan Shen Hee, Maryam Tebyani, Kaelan Schorger, Celeste Franco, Michelle Bagood, Mircea Teodorescu, Marco Rolandi, Rivkah Isseroff, Marcella Gomez

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Preliminary investigation of the association between air pollution exposure and childhood asthma hospitalizations from 2015 to 2018 in East China by Yuling Bao, Jiawei Wang, Hui Huang, Zhe Sun, Mingyan Xue, Zilong Bian, Rui Jin, Qian Wu

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Physical activity in the relationship between multiple air pollutants exposure and risk of hypertension: a prospective cohort study in China by Yuquan Chen, Yanwei You, Jiarong He, Yuechuan Zhang, Qi Zhang, Fan Yang, Mingming Zhang

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Explaining population trends in cardiovascular risk: protocol for a comparative analysis of health transitions in South Africa and England using nationally representative survey da... by Annibale Cois, Kafui Adjaye-Gbewonyo

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Personal and existential-psychological resources of form tutors working with gifted children by N. V. Markina, E. L. Soldatova, I. L. Kachuro, A. Gavriliuc

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Rodent and human seizures demonstrate a dynamic interplay with spreading depolarizations by Jacob H. Norby, Daniel Hummel, Noah Ricks, John Rolston, Shervin Rahimpour, Rhiannon Cowan, Juha Voipio, Andrew J. Trevelyan, Elliot H. Smith, R. Ryley Parrish

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Patterns and drivers of water-land resources nexus in arid inland river basins of northwestern China by Lingge Wang, Wei Liu, Qi Feng, Zhenliang Yin, Rui Zhu, Meng Zhu, Jutao Zhang, Yuanyuan Xue, Zexia Chen, Xuejiao Li

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Assessment of Maxillary Expansion Techniques by means of 3D Elastoplastic Finite Element Static Simulation by Olesya Shosheva, Mikhail Zhmaylo, Leonid Maslov, Aleksey Borovkov, Nataliia Vishneva, Anastasiia Lanina, Andrey Yaremenko

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Evoked potentials in neuroinfections in children by V. N. Komantsev, N. V. Skripchenko, V. B. Voitenkov, M. V. Savina, G. P. Ivanova

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Topology aware multitask cascaded U-Net for cerebrovascular segmentation. by Pierre Rougé, Nicolas Passat, Odyssée Merveille

“…In addition to this topological guidance, this cascaded U-Net also benefits from the inductive bias generated by the skeletonization during the multitask training. This model is able to predict the cerebrovascular segmentation with a more accurate topology than current state-of-the-art methods and with a low training time. …”
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