Spatially Adaptive Computation Time for Residual Networks

This paper proposes a deep learning architecture based on Residual Network that dynamically adjusts the number of executed layers for the regions of the image. This architecture is end-to-end trainable, deterministic and problem-agnostic. It is therefore applicable without any modifications to a wide range of computer vision problems such as image classification, object detection and image segmentation. We present experimental results showing that this model improves the computational efficiency of Residual Networks on the challenging ImageNet classification and COCO object detection datasets. Additionally, we evaluate the computation time maps on the visual saliency dataset cat2000 and find that they correlate surprisingly well with human eye fixation positions.Comment: CVPR 201

Spontaneous Magnetisation in a Quantum Wire

An existence of predominant symmetrical spin configuration (spin polarised phase) and "diluted" density of states (pseudo-gap) in a layer under the Fermi level in a quantum wire is predicted. The condition of cross-over from non-polarised phase to polarised one was derived. The transition occurs for sufficiently low electron density in a wire and is accompanied by an acute decrease of electron density of states near the Fermi level.It may result in a corresponding decrease of conductance. A similar effect may exist in a two-dimensional electron gas.Comment: 8 pages, 1 figur

Manifestation of type 2 diabetes mellitus in the background of COVID-19: review and clinical case

The article presents a literature review of clinical data on the manifestation of type 2 diabetes mellitus against the background of coronavirus infection COVID-19, COVID-19 is considered as a possible cause of type 2 diabetes. A clinical case of a patient with coronavirus infection and newly diagnosed type 2 diabetes mellitus was presentedВ статье приведен литературный обзор клинических данных о манифестации сахарного диабета 2 типа на фоне коронавирусной инфекции COVID-19, COVID-19 рассмотрен как возможная причина возникновения сахарного диабета 2 типа. Приведен клинический случай пациентки с коронавирусной инфекцией и впервые диагностированным сахарным диабетом 2 типа

Hidden Markov Model Analysis of Maternal Behavior Patterns in Inbred and Reciprocal Hybrid Mice

Individual variation in maternal care in mammals shows a significant heritable component, with the maternal behavior of daughters resembling that of their mothers. In laboratory mice, genetically distinct inbred strains show stable differences in maternal care during the first postnatal week. Moreover, cross fostering and reciprocal breeding studies demonstrate that differences in maternal care between inbred strains persist in the absence of genetic differences, demonstrating a non-genetic or epigenetic contribution to maternal behavior. In this study we applied a mathematical tool, called hidden Markov model (HMM), to analyze the behavior of female mice in the presence of their young. The frequency of several maternal behaviors in mice has been previously described, including nursing/grooming pups and tending to the nest. However, the ordering, clustering, and transitions between these behaviors have not been systematically described and thus a global description of maternal behavior is lacking. Here we used HMM to describe maternal behavior patterns in two genetically distinct mouse strains, C57BL/6 and BALB/c, and their genetically identical reciprocal hybrid female offspring. HMM analysis is a powerful tool to identify patterns of events that cluster in time and to determine transitions between these clusters, or hidden states. For the HMM analysis we defined seven states: arched-backed nursing, blanket nursing, licking/grooming pups, grooming, activity, eating, and sleeping. By quantifying the frequency, duration, composition, and transition probabilities of these states we were able to describe the pattern of maternal behavior in mouse and identify aspects of these patterns that are under genetic and nongenetic inheritance. Differences in these patterns observed in the experimental groups (inbred and hybrid females) were detected only after the application of HMM analysis whereas classical statistical methods and analyses were not able to highlight them

Structure of herd immunity to SARS-COV-2 in the Krasnoyarsk region population in the COVID-19 epidemic

Purpose. Determination of the SARS-CoV-2 population humoral immunity among the population of the Krasnoyarsk Territory during the COVID-19 epidemic.Materials and methods. The study was carried out as a part of project for assessing population immunity to SARS-CoV-2 among the population of Russian Federation using unified methodology developed by Rospotrebnadzor, with the participation of the Research Institute for Epidemiology and Microbiology named by Pasteur, and taking into account the recommendations of the WHO. The work involved 2907 volunteers, selected by the online survey and randomization by age and territory. All volunteers were divided into 7 age groups: 1–17, 18–29, 30–39, 40–49, 50–59, 60–69, 70 and older (70+), including a total 246–449 people. Population immunity testing was carried out during the formation of groups (1st stage), and then twice more, with the interval of 6–8 weeks. Serum was obtained from venous blood samples obtained from volunteers, in which antibodies to the SARS-CoV-2 nucleocapsid were determined by the enzyme immunoassay. The results were analyzed by methods of nonparametric statistics: median, interquartile range, rank correlation coefficient were calculated in the Excel statistical package. The confidence interval to seroprevalence indicators (95% CI) was calculated using the WinPepi statistical package (version 11.65). The statistical significance of the differences was assessed with a probability level of p ≤ 0.05.Results. The seroprevalence of the population of the Krasnoyarsk Territory during the 5-month period of seromonitoring had increased 3.3 times from 12.8% (95% CI 11.3–14.4) to 41.7% (95% CI 39.4–4.0) , while the grouping by age had not revealed any peculiarities throughout the study. The trend towards a decrease in the incidence was formed on the 6th week of 2021. The seroprevalence of convalescents after COVID-19 during the initial testing was 61.5% (95% CI 40,6–79.8), among those who were in contact with patients with COVID-19 or convalescents –23.8% (95% CI 13.9–36.2) . Among the volunteers, 347 seropositive persons were identified, 324 of which were observed asymptomatic course.Conclusion. The structure of the population humoral immunity to SARS-CoV-2 of he population of the Krasnoyarsk Territory has been investigated. It was found that an increase in seroprevalence to 41.7% (95% CI 39.4–4.0) was accompanied by a decrease in morbidity

Assessment of the professional competence of the 5- and 6-year studentsof the faculty of general medicine in the course of studying hospital therapy

The article presents the results of the analysis of mastering the professional competencies of 5- and 6-year students of the faculty of general medicine for the period from 2016 to 2018.В статье представлены результаты анализа овладения профессиональными компетенциями студентов 5-6 курсов лечебно-профилактического факультета за период с 2016 по 2018 гг

Department of hospital therapy and emergency medical care — 60 years of tradition and innovation

The article briefly highlights the main milestones of development of the Department of Hospital Therapy and Emergency Medical Сare for 60 years since its foundation. Attention is paid to the continuity of the traditions of innovative medical science and education development in the framework of the main mission of the Ural State Medical University.В статье кратко освещены основные этапы становления и развития кафедры госпитальной терапии и скорой медицинской помощи в течение 60 лет с момента создания. Уделено внимание преемственности традициям инновационного развития медицинской науки и образования в рамках реализации основной миссии Уральского государственного медицинского университета

Software support for automatically generated procedures

The paper explicates a construction technique and provides a usage example of a software integrator designed to create diverse data processing implementations based on the automatically generated data-specific processing procedures

3D Reconstruction of Mouse Brain from Allen Brain Atlas

The paper describes a method for fully automatic 3D-reconstruction of mouse brain from a sequence of histological coronal 2D slices. The model is constructed via non-linear transformations between neighboring slices and further morphing for interpolation. We also use rigid-body transforms in preand post-processing stages for smoothing transitions. The bobtained 3D-model is then used for getting 2D-images of brain in arbitrary section-plane. We use this approach for automatic annotation of brain structures with the aid of Allen Brain Atlas which is available in electronic form