Multiple Local Area Research Articles

Constructal optimization of a rectangular non-uniform heat generation area with irregular high thermal conductivity material

Constructal optimization of a rectangular non-uniform heat generation area with irregular high thermal conductivity material

Soft adaptive loss based Laplacian eigenmaps

The Laplacian eigenmaps (LE) is one of the most commonly used nonlinear dimensionality reduction methods and aims to find a low-dimensional representation to preserve the topological relationship between sample points in the original data. However, the l2-norm based loss function makes LE unable to preserve the relationship in many cases. Additionally, the topological relationship does not represent the real intrinsic structure of data. For example, the overemphasis of the topological relationship by LE easily breaks the manifold structure into multiple local areas in the embedding space, which makes the spectral clustering analysis of multi-manifold data more difficult to carry out. To solve this problem, we propose the soft adaptive loss based LE (SALE). With the soft adaptive loss, SALE can adaptively emphasize the topological relationship between sample points and the clustering structure of data. The model is tested and validated on UCI, face and gene expression data sets, and compared with some state-of-the-art models. The experimental results show that the method is robust to noise.

Improved CPU load balancing for numerical solution of the tasks of continuous medium mechanics complicated by chemical kinetics

This article explores certain aspects of the process of numerical solution of the tasks of continuous medium mechanics in the conditions of ongoing chemical reactions. Such tasks are usually characterized by the presence of multiple local areas with elevated temperature, which position in space is relatively unstable. In such conditions, rigidly stable methods of integration with step control, which in the “elevated temperature” areas that have higher time input comparing to other areas. In terms of using geometric parallelism, this fact leads to substantial imbalance of CPU load, which reduces the overall effectiveness of parallelization. Therefore, this article examines the problem of CPU load balancing in the context of parallel solution of the aforementioned tasks. The other offers a new modification of the algorithm of large-block distributed balancing with improved time prediction of the numerical integration of chemical kinetics equations, which is most effective in the conditions of drift of the areas with “elevated temperatures”. The improvement consists in application of the linear perceptron, which analyzes several previous values of time integration (the basic version of the algorithm uses only one previous spot from the history of time integration). This allows working in the conditions of fast and slow drift of the areas with “elevated temperatures”. The effectiveness of this approach is demonstrated on the task of modeling the flow-around the building with high-temperature combustion on its roof. It is indicated that the application of modified algorithm increases the effectiveness of parallelization by 2.1% compared to the initial algorithm.

The Importance of X-Ray in Examination of Lungs in Patients with Inhalation Trauma

Relevance Inhalation trauma (IT) is a combined injury of the respiratory tract, lung parenchyma and the central nervous system. Alterations of a mucous membrane during thermochemical airway burn as a result of inhalation of combustion products is most fully described in the literature, while the lesion of pulmonary parenchyma hasn’t been studied. The aim of the study To determine the capabilities and significance of the X-ray method in the study of lungs in patients with IT.Material and methods We examined 184 victims with IT, of which 53 patients had airways burn of the 1st degree, 92 patients had airways burn of the 2nd degree, and 39 patients had airways burn of the 3rd degree. Methods used: X-ray, chest X-ray computed tomography, ultrasound of the chest, study of the function of external respiration, morphological examination of lungs, statistical methods.Results X-ray studies in patients with IT revealed changes in peripheral parts of both lungs like network deformation of pulmonary pattern to forms resembling “mulberries” or “a bunch of grapes”. A study of the function of external respiration revealed signs of decreased lung ventilation and obstructive changes in bronchioles. The X-ray computed tomography of peripheral regions of the lungs in some patients revealed multiple local areas of reduced density with no visible walls corresponding to alveoli holding the air. Histological examination of the peripheral parts of the lungs found round air formations and significantly expanded alveoli. These changes are associated with exhalation disorders due to the constriction of respiratory bronchioles.Conclusion The X-ray method allows to detect signs of damage to the pulmonary parenchyma in patients with IT. Using a statistical evaluation, we showed that the presence of network deformation of the pulmonary pattern under the conditions of IT is an objective feature, confirmed with Cohen’s kappa coefficient (0.6±0.14; 95% CI [0.32–0.88]).

Natural Mega-Focus of Yersinia pestis Main Subspecies, Antique Biovar, Phylogenetic Line 4.ANT in Gorny Altai

Objective of this study was to investigate the areal of Yersinia pestis strains of antique biovar, main subspecies, phylogenetic line 4.ANT, as well as to establish the borders and spatial structure of mega-focus in the territory of Gorny Altai. Materials and methods. Complex comprehensive analysis of the properties in Yersinia pestis strains of the main subspecies, circulating in Gorny Altai has been conducted. 33 out of them, isolated predominantly in 2012–2017 have been sequenced. Whole genome SNP analysis and search of marker SNPs was performed using Wombac 2.0 software package. Tree diagram was built applying Maximum Likelihood algorithm, using PhyML 3.1 software on the basis of HKY85 model. Results and conclusions. Based on the results of whole genome SNPs analysis of 33 endemic strains and creation of the tree diagram of Y. pestis strains, the presence of natural mega-focus of Y. pestis belonging to the main subspecies, antique biovar, phylogenetic line 4.ANT has been substantiated. Epizootic manifestations on multiple local areas, characterized by persistent autonomous nature of plague manifestations, are registered on an annual basis. Within the boundaries of the areal of Yersinia pestis main subspecies, antique biovar, phylogenetic line 4.ANT, existence of joint natural foci of Yersinia pestis belonging to non-main subspecies ssp. altaica and ulegeica is established. Location of natural foci of the main and non-main subspecies of Yersinia pestis in different altitudinal belts of the Altai Mountains Range on the whole provides for observed multi-host and multi-vector feature of epizootic manifestations. For the first time ever, the data on the areal of the main subspecies of plague microbe are used for setting the boundaries of its natural focus.

Multiple Local Autofocus Back-Projection Algorithm for Space-Variant Phase-Error Correction in Synthetic Aperture Radar

The back-projection (BP) algorithm is an ideal solution for large-swath airborne SAR imaging. However, space-variant phase errors induced by trajectory deviations dramatically degrade the BP-focusing performance in a large-swath mode. In this letter, we propose an autofocus method that is compatible with the BP imagery, in which the phase-error function is constructed for individual pixels. In the new method, multiple local areas at different illumination directions within the radar beam are synthesized to trace the local phase gradient. From these phase gradient estimates, the accurate pixel-wise phase-error correction for all the contaminated pulses is achievable. This approach is capable of correcting space-variant phase errors with high precision and efficiency for large-swath SAR imaging. Experiments based on the real data that are recorded by a highly squinted SAR system validates the effectiveness of the proposed autofocus method.

MONITORING OF FUNGAL LOADS IN SEABIRD REHABILITATION CENTERS WITH COMPARISONS TO NATURAL SEABIRD ENVIRONMENTS IN NORTHERN CALIFORNIA

Aspergillosis remains a major cause of mortality in captive and rehabilitated seabirds. To date, there has been poor documentation of fungal (particularly Aspergillus spp.) burdens in natural seabird loafing and roosting sites compared with fungal numbers in rehabilitation or captive settings and the various microenvironments that seabirds are exposed to during the rehabilitation process. This study compares fungal, particularly Aspergillus spp., burdens potentially encountered by seabirds in natural and rehabilitation environments. Differences among the various microenvironments in the rehabilitation facility were evaluated to determine the risk of infection when seabirds are experiencing high stress and poor immune function. Aspergillus spp. counts were quantified in three wildlife rehabilitation centers and five natural seabird loafing and roosting sites in northern California using a handheld impact air sampler and a water filtration system. Wildlife rehabilitation centers demonstrated an increase in numbers of conidia of Aspergillus spp. and Aspergillus fumigatus in air and water samples from select aquatic bird rehabilitation centers compared with natural seabird environments in northern California. Various microenvironments in the rehabilitation facility were identified as having higher numbers of conidia of Aspergillus spp. These results suggest that periodic monitoring of multiple local areas, where the birds spend time in a rehabilitation facility, should be done to identify "high risk" sites, where birds should spend minimal time, or sites that should be cleaned more frequently or have improved air flow to reduce exposure to fungal conidia. Overall, these results suggest that seabirds may be more likely to encounter Aspergillus spp. in various microenvironments in captivity, compared with their native habitats, which could increase their risk of developing disease when in a debilitated state.

Extended bridge algorithms for large networks

A network bridge is a device that operates at the ISO data link level and routes packets across extended networks, commonly composed of multiple local area networks (LANs) and bridges. A set of algorithms that greatly extends the application of the network bridge is presented. This multitree bridge algorithm allows networks of arbitrary topology and capacity to use bridge routing. The reduced broadcast bridge algorithm alleviates the problem of extraneous broadcasting in large networks built from bridges and packet switches. A method for routing to network users who change their location rapidly, as in mobile cellular radio systems, is presented. An algorithm for efficient multicasting in bridges is given. Application of this technology to the broadband integrated services digital network (BISDN) is proposed.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>