scholarly journals TOWARDS THE CLASSIFICATION OF NONMARGINAL BOUND STATES OF M-BRANES AND THEIR CONSTRUCTION RULES

1998 ◽  
Vol 13 (12) ◽  
pp. 2013-2046 ◽  
Author(s):  
NOBUYOSHI OHTA ◽  
JIAN-GE ZHOU
Keyword(s):  
Bound States ◽  
Systematic Analysis

We present a systematic analysis of possible bound states of M-brane solutions (including waves and monopoles) by using the solution generating technique of reduction fo M-brane to 10 dimensions, use of T-duality and then lifting back to 11 dimensions. We summarize a list of bound states for one- and two-charge cases including tilted brane solutions. Construction rules for these nonmarginal solutions are also discussed.

Sustainable regional development as a problem of managing the socio-economic system

Ergodesign ◽  
2020 ◽  
Vol 2020 (2) ◽  
pp. 58-62
Author(s):  
Alexander Anishenko ◽  
Tatyana Krotenko ◽  
Dmitriy Erokhin
Keyword(s):  
Sustainable Development ◽  
Regional Development ◽  
Economic System ◽  
Raw Materials ◽  
Resource Model ◽  
Systematic Analysis ◽  
Development Control ◽  
Sustainable Regional Development ◽  
Three Factor

A systematic analysis of the concept of "sustainable development of the region" is carried out . The classification of factors that affect the process of sustainable development is given. A three -factor resource model for the formation of sustainable development of the region , including human, financial and raw materials, is described. The necessity of systematic monitoring as an element of regional development control is substantiated.

scholarly journals The Banff Working Group Classification of Definitive Polyomavirus Nephropathy: Morphologic Definitions and Clinical Correlations

2017 ◽  
Vol 29 (2) ◽  
pp. 680-693 ◽  
Author(s):  
Volker Nickeleit ◽  
Harsharan K. Singh ◽  
Parmjeet Randhawa ◽  
Cinthia B. Drachenberg ◽  
Ramneesh Bhatnagar ◽  
...  
Keyword(s):  
Repeated Measures ◽  
Working Group ◽  
Classification Scheme ◽  
Clinical Presentation ◽  
Interstitial Fibrosis ◽  
The United States ◽  
Systematic Analysis ◽  
Definition Of ◽  
Morphologic Classification

Polyomavirus nephropathy (PVN) is a common viral infection of renal allografts, with biopsy-proven incidence of approximately 5%. A generally accepted morphologic classification of definitive PVN that groups histologic changes, reflects clinical presentation, and facilitates comparative outcome analyses is lacking. Here, we report a morphologic classification scheme for definitive PVN from the Banff Working Group on Polyomavirus Nephropathy, comprising nine transplant centers in the United States and Europe. This study represents the largest systematic analysis of definitive PVN undertaken thus far. In a retrospective fashion, clinical data were collected from 192 patients and correlated with morphologic findings from index biopsies at the time of initial PVN diagnosis. Histologic features were centrally scored according to Banff guidelines, including additional semiquantitative histologic assessment of intrarenal polyomavirus replication/load levels. In-depth statistical analyses, including mixed effects repeated measures models and logistic regression, revealed two independent histologic variables to be most significantly associated with clinical presentation: intrarenal polyomavirus load levels and Banff interstitial fibrosis ci scores. These two statistically determined histologic variables formed the basis for the definition of three PVN classes that correlated strongest with three clinical parameters: presentation at time of index biopsy, serum creatinine levels/renal function over 24 months of follow-up, and graft failure. The PVN classes 1–3 as described here can easily be recognized in routine renal biopsy specimens. We recommend using this morphologic PVN classification scheme for diagnostic communication, especially at the time of index diagnosis, and in scientific studies to improve comparative data analysis.

The evolution of digital relations in the economy and the relevance of financial education in modern society

2020 ◽  
Vol 11 (31) ◽  
pp. 524-535
Author(s):  
Olga Nikolaevna Goncharenko ◽  
Elena Igorevna Lomonosova ◽  
Dmitrii Aleksandrovich Lomonosov ◽  
Vadim Anatolevich Mironchuk ◽  
Lada Victorovna Progunova
Keyword(s):  
Modern Society ◽  
Financial Education ◽  
Traditional Education ◽  
Educational Process ◽  
Socially Responsible ◽  
Systematic Analysis ◽  
Business Structures ◽  
Responsible Behaviors ◽  
Digital Training

Universities enter educational markets with “digital” services, joining in communities, combining digital and traditional education (online and offline), strengthening ties with business structures, universities and schools. The purpose of the work is to carry out a systematic analysis of the evolution of relationships in education in the context of the digital transformation of society. The formation of socially responsible behaviors of students and Tutors of the educational process is taken into account. These aspects are studied in a systematic way and the financial education procedure is proposed. The main results of the article are the analysis of the system and classification of tasks and digital training processes, development of a procedure (algorithm) for the implementation of the financial training program.

scholarly journals Analysis and Сlassifiсatiоn оf the Main Faсtоrs Determining Mоdern Internatiоnal Connections оf Regiоns оf States

REGIONOLOGY ◽  
2019 ◽  
pp. 270-289 ◽  
Author(s):  
Maxim I. Kоlykhalоv
Keyword(s):  
International Cooperation ◽  
Historical Analysis ◽  
Legal Framework ◽  
Ethnic Composition ◽  
Legal Analysis ◽  
Systematic Analysis ◽  
Regional Powers ◽  
Form Of Government ◽  
Ethnic Factors

Intrоduсtiоn. International connections of regions are a dynamic category that is influenced by a whole range of factors related to the geopolitical position of the country, its ethnic composition, and the current political situation in the world. Therefore, the study of this issue is of considerable relevance. The purpose of this paper is to analyze and classify the factors that determine the modern international connections of regions of states. Materials and Methods. Modern works by leading scientists and the current legal framework in the field of international connections of regions of states were used as materials of the study. The systematic analysis, structural and functional analysis, specific historical analysis as well as political and legal analysis formed the methodological basis. Results. The author has analyzed the factors determining the modern international connections of regions of states, compiled a classification of these factors. The main groups of factors determining the international connections of regions of states have been identified: the form of government and features of the implementation of regional powers in international cooperation, geopolitical factors, factors of socio-economic development, factors of special types of regions of states in international cooperation, confessional factors, and ethnic factors. Based on the modern scientific knowledge and the relevant legal framework, it has been identified that the form of government structure determines the powers of regions in international cooperation and is a major factor in the international connections of regions. Discussion and Conclusion. Analysis and classification of the factors determining the modern international connections of regions of states make it possible to contribute to the assessment of the current state of Russia’s international connections. The results of the study can be used by the relevant authorities when determining new areas of development of international connections of Russia’s regions.

scholarly journals Classification of bijections between 321- and 132-avoiding permutations

2008 ◽  
Vol DMTCS Proceedings vol. AJ,... (Proceedings) ◽  
Author(s):  
Anders Claesson ◽  
Sergey Kitaev
Keyword(s):  
Permutation Statistics ◽  
Large Set ◽  
Systematic Analysis ◽  
Comprehensive Survey ◽  
International Audience

International audience It is well-known, and was first established by Knuth in 1969, that the number of 321-avoiding permutations is equal to that of 132-avoiding permutations. In the literature one can find many subsequent bijective proofs confirming this fact. It turns out that some of the published bijections can easily be obtained from others. In this paper we describe all bijections we were able to find in the literature and we show how they are related to each other (via "trivial'' bijections). Thus, we give a comprehensive survey and a systematic analysis of these bijections. We also analyze how many permutation statistics (from a fixed, but large, set of statistics) each of the known bijections preserves, obtaining substantial extensions of known results. We also give a recursive description of the algorithmic bijection given by Richards in 1988 (combined with a bijection by Knuth from 1969). This bijection is equivalent to the celebrated bijection of Simion and Schmidt (1985), as well as to the bijection given by Krattenthaler in 2001, and it respects 11 statistics (the largest number of statistics any of the bijections respect).

scholarly journals SYSTEMATIC ANALYSIS OF THE SPECIES OF THE GENUS QUERCUS L. IN THE ARBORETUM HERBARIUM OF THE UNIVERSITY

2021 ◽  
Vol 11 (3) ◽  
pp. 5-15
Author(s):  
Svetlana Degtyareva ◽  
Valentina Dorofeeva ◽  
Yuliya Chekmeneva
Keyword(s):  
Life Form ◽  
Educational Institution ◽  
Federal State ◽  
Herbarium Specimens ◽  
State Budget ◽  
Systematic Analysis ◽  
Traditional Classification ◽  
Plant Collections ◽  
The University

The results of the analysis of Quercus L. species stored in the herbarium of the Department of Botany and Plant Physiology of Federal State Budget Educational Institution of Higher Education VSUFT (Voronezh) are presented. This herbarium of historical plant collections of the genus Quercus L. is critical for tracking changes in the genus, including the introduction and distribution of species. We examined the belonging of the species to systematic units – subgenus, section, subsection, row, using the traditional classification and the updated intrageneric classification of oaks. Information about the life form, plant height, date and place of collection of the specimen was recorded. We entered information into the database, which will further simplify the work on registration, revision of the herbarium fund and when replenishing herbarium specimens. Conclusions were drawn based on the results of the workabout changes in the taxonomic nature and phylogenetic relationships of species in Quercus L. genus

Abstract T P176: Classification of DWI Lesion Patterns in Acute Ischemic Stroke Using Shape Context

Stroke ◽  
2015 ◽  
Vol 46 (suppl_1) ◽  
Author(s):  
Fabien Scalzo ◽  
Dezhi Liu ◽  
David S Liebeskind
Keyword(s):  
Computer Vision ◽  
Ischemic Stroke ◽  
Acute Ischemic Stroke ◽  
Border Zone ◽  
Lesion Volume ◽  
Inclusion Criteria ◽  
Shape Context ◽  
Systematic Analysis ◽  
Imaging Characteristics

Introduction: Neuroimaging studies in ischemic stroke hold abundant features about location, type, and extent of brain ischemia. Identification of imaging characteristics that predict recovery of brain tissue at risk remains an ongoing effort and such DWI patterns hold promise. However, systematic analysis of large multi-modal datasets face many challenges. An automated algorithm for classification of DWI lesion patterns in real-time would be ideal. We developed and evaluated a computer vision model that uses 3D shape description of the lesion for classification of DWI lesion patterns into an existing nomenclature. Methods: Inclusion criteria were acute ischemic stroke and DWI performed within 24 hours of symptom onset. Acute lesions were manually segmented on DWI and categorized into 6 types (territorial, other cortical, small superficial, internal border zone, small deep, and other deep infarcts). The computer vision model characterized stroke lesion using a shape context descriptor that accumulates surface points of the lesion into a 3D log-linear spherical histogram. The experiments estimate the accuracy of the model in classifying the lesion patterns using a leave-one-out cross-validation. Results: A total of 344 patients satisfied inclusion criteria. Mean age was 66.1 (range 13-97). Median NIHSS at baseline was 14 (range 0-38). Average lesion volume was 75.6 cc (range 5-256). The number of observations per category was [territorial:81, other cortical:51, small superficial:78, internal border zone:12, small deep:34, other deep infarcts:88]. When combining lesion volume, average location relative to the center of the brain, and shape descriptor as input, the classification models yielded perfect classification accuracy over the entire dataset. Conclusions: An advanced computer vision framework that automatically identifies discriminant features between lesion categories was introduced and successfully evaluated on 344 patients with acute stroke. Our study enables even larger scale retrospective analyses. Computer vision and pattern recognition methods can play a central role for the systematic analysis of big data in stroke.

Systematic analysis of the fauna of Papua New Guinea and associated biogeographical territories.

2022 ◽  
pp. 13-16
Author(s):  
Richard A. I. Drew ◽  
Meredith C. Romig
Keyword(s):  
Papua New Guinea ◽  
New Guinea ◽  
Pacific Region ◽  
Systematic Analysis ◽  
Eastern Australia ◽  
North Eastern ◽  
Torres Strait

Abstract This chapter presents the classification of the dacine fauna of Papua New Guinea and associated biogeographical territories into two genera, Bactrocera Macquart (with 21 subgenera) and Dacus Fabricius (with three subgenera). These include the subgenus Diplodacus May, which occurs in north-eastern Australia and the Torres Strait Islands. A key to genera and subgenera recorded in the Australian-Pacific Region is provided.

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