Correlation Properties of Noise Signals at the Outputs of Receiving Channels with a Single Resonant Circuit by Xuan Chinh Vu, I. N. Davydzenka

Get full text

Redshift and Photon Energy Attenuation Constant in Vacuum by A. A. Kurayev, V. V. Matveyenka

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

The training of cataloguers in Kemerovo State Institute of Culture by L. G. Taranenko, O. Ya. Sakova

Get full text

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

Get full text

Association between maternal khat use and other determinants and low birth weight in Halaba Zone, South Ethiopia: an unmatched case–control study by Biruk Wogayehu, Biruk Wogayehu, Tsegaye Demissie, Eskinder Wolka, Mekuriaw Alemayehu

Get full text

Circulating extra-cellular RNAs and atrial fibrillation: data from the TRACE-CORE cohort by Katherine Tak, Darleen Lessard, Catarina I. Kiefe, Jane E. Freedman, Matthew Parker, Gerard P. Aurigemma, Kevin Donahue, David D. McManus, David D. McManus, Khanh-Van Tran

Get full text

The association between monocyte-to-high-density lipoprotein cholesterol ratio and type 2 diabetes mellitus: a cross-sectional study by Honghai Yu, Cunqing Yang, Cunqing Yang, Jiao Lv, Yunyun Zhao, Guoqiang Wang, Xiuge Wang

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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

Get full text

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. …”
Get full text