bluuebunny/crossref_metadata_2025_split huggingface dataset:
MATHEMATICAL EXPLANATION OF SUSTAINABLE POLITICAL DEVELOPMENT OF THE SOCIETY
Authors: Черкашин Александр Константинович 
Published: July 2021

Обсуждается возможность математического объяснения современных социально-политических событий в Российской Федерации и за рубежом, что проявляют скрытые закономерности расслоения и изоляции общества на всех уровнях его организации. Формируются новые модели дистанционного взаимодействия - коммуникации разных социальных слоев, объединение их в комплексы сетей информационно-функциональных связей. Эти закономерности сквозным образом в разных масштабах описываются метатеоретическими моделями и методами расслоения с использованием универсальных математических уравнений, аксиоматической теории деятельности и устойчивого развития, раскрывающими этические, правовые и политические аспекты сосуществования. Содержательная интерпретация формального подхода основывается на идеях трансцендентальной аргументации И.Канта - автора морально-нравственного категорического императива, концепции правового государства и политической философии. Формулируется безусловная идея устойчивого мироустройства, которая берется за основу всякого общественного закона как выражения идеала, прообраза будущего, что становится основанием для предсказания прогрессивных форм политической деятельности.
The opportunity of a mathematical explanation of modern socio-political events in the Russian Federation and abroad is discussed. It reveals hidden patterns of stratification and isolation of society at all levels of its organization. New models of remote interaction are being formed: communication of different social strata, combining them into complexes of networks of information and functional connections. These laws are described in a through manner at different scales by meta-theoretical models and bundle methods using universal mathematical equations, axiomatic theory of activity and sustainable development, which combines the ethical, legal and political aspects of coexistence. The content interpretation of the formal approach is based on the ideas of the transcendental argumentation of I. Kant as the author of moral categorical imperative and the concept of the rule of law and political philosophy. An unconditional idea of a stable world order is formed, which is taken as social law expressing an ideal prototype of the future and the basis for predicting progressive forms of political activity.
MODELING THE PROBLEM OF ENERGY EFFICIENCY REMOTE AGRARIAN FARMS
Authors: Борисоглебская Лариса Николаевна , Сергеев Сергей Михайлович , Лебедева Яна Олеговна 
Published: July 2021

В статье изложены результаты исследований в рамках выполнения стратегических направлений деятельности Инжинирингового центра технологий цифровой среды для обеспечения комплексной безопасности телекоммуникации, средств связи и энергоэффективности Орловского государственного университета им. И.С. Тургенева. Рассмотрен актуальный для аграрного сектора вопрос функционирования периферийных сельскохозяйственных объектов в условиях ограниченных энергоресурсов. Предложен научный подход с использованием математического моделирования.
The article presents the results of research in the framework of the implementation of the strategic directions of the Engineering Center for Digital Environment Technologies to ensure the integrated security of telecommunications, communications and energy efficiency of the Oryol State University named after I.S. Turgenev. The issue of the functioning of peripheral agricultural facilities in conditions of limited energy resources, which is relevant for the agricultural sector, is considered. A scientific approach using mathematical modeling is proposed.
RESOURCES PROVIDING DATA FOR MACHINE LEARNING AND TESTING ARTIFICIAL INTELLIGENCE TECHNOLOGIES
Authors: Сикулер Денис Валерьевич 
Published: July 2021

В статье выполнен обзор 10 ресурсов сети Интернет, позволяющих подобрать данные для разнообразных задач, связанных с машинным обучением и искусственным интеллектом. Рассмотрены как широко известные сайты (например, Kaggle, Registry of Open Data on AWS), так и менее популярные или узкоспециализированные ресурсы (к примеру, The Big Bad NLP Database, Common Crawl). Все ресурсы предоставляют бесплатный доступ к данным, в большинстве случаев для этого даже не требуется регистрация. Для каждого ресурса указаны характеристики и особенности, касающиеся поиска и получения наборов данных. В работе представлены следующие сайты: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Портал открытых данных Российской Федерации, World Bank, The Big Bad NLP Database, Common Crawl.
The work presents review of 10 Internet resources that can be used to find data for different tasks related to machine learning and artificial intelligence. There were examined some popular sites (like Kaggle, Registry of Open Data on AWS) and some less known and specific ones (like The Big Bad NLP Database, Common Crawl). All included resources provide free access to data. Moreover in most cases registration is not needed for data access. Main features are specified for every examined resource, including regarding data search and access. The following sites are included in the review: Kaggle, Google Research, Microsoft Research Open Data, Registry of Open Data on AWS, Harvard Dataverse Repository, Zenodo, Open Data portal of the Russian Federation, World Bank, The Big Bad NLP Database, Common Crawl.
FORMATION OF THE INDUSTRIAL ENTERPRISE PERFORMANCE INDICATORS SYSTEM
Authors: Туктарова Полина Андреевна , Мансурова Юлия Талгатовна 
Published: July 2021

На сегодняшний день применение ряда моделей диагностики состояния предприятия нецелесообразно в условиях российской экономики по следующим причинам. Во-первых, применение различных моделей приводит к противоречивым результатам. Во-вторых, прогнозная точность моделей значительно уменьшается при использовании для анализа финансового состояния данных за несколько лет до банкротства. В-третьих, зарубежные модели не учитывают специфику экономической ситуации и организацию предпринимательства в России, которые отличаются, в том числе, системами бухгалтерского учета и налогового законодательства, что находит отражение как в наборе факторов-признаков, так и в весовых коэффициентах при них. В-четвертых, в моделях используются данные за один год, и не учитываются изменения показателей в динамике за несколько лет. В-пятых, существующие модели используют в своем анализе ограниченный спектр показателей, определяющих ликвидность, платежеспособность, рентабельность и, как правило, являются расширенными или измененными западными моделями 60-80 гг. XX в. Круг факторов, определяющих риск потери степени устойчивости, заметно больше, это обусловливает необходимость совершенствования моделей его оценки за счет расширения его дополнительными параметрами.
To date, the use of a number of models for diagnosing the state of an enterprise is impractical in the conditions of the Russian economy for the following reasons. First, the use of different models leads to conflicting results. Secondly, the predictive accuracy of the models is significantly reduced when using data for the analysis of the financial condition of several years before bankruptcy. Thirdly, foreign models do not take into account the specifics of the economic situation and the organization of entrepreneurship in Russia, which differ, among other things, in the systems of accounting and tax legislation, which is reflected both in the set of factor-signs and in the weight coefficients for them. Fourth, the models use data for one year, and do not take into account changes in indicators over several years. Fifth, the existing models use in their analysis a limited range of indicators that determine liquidity, solvency, profitability and, as a rule, are extended or modified Western models of the 60-80s. XX century. The range of factors that determine the risk of losing the degree of stability is much larger, this necessitates the improvement of models for its assessment by expanding it with additional parameters.
SOFTWARE COMPLEX "FORECASTING PRODUCTION AND ECONOMIC INDICATORS OF AGRICULTURAL PRODUCTION"
Authors: Барсукова Маргарита Николаевна , Вараница-Городовская Жанна Игоревна , Иваньо Ярослав Михайлович , Ромме Алексей Александрович 
Published: July 2021

Прогнозирование производственно-экономических показателей аграрного производства актуально для составления перспективных планов и программ по развитию агропромышленного комплекса на различных уровнях: регион, муниципальное образование, сельскохозяйственный товаропроизводитель. В статье описан разработанный авторами программный комплекс, позволяющий прогнозировать урожайность сельскохозяйственных культур, затраты труда на получение продукции, объемы производства, финансовые показатели на среднесрочную и долгосрочную перспективы. Для прогностических целей использованы функции роста с насыщением: асимптотическая и логистическая. Программный комплекс апробирован на данных муниципальных районов и сельскохозяйственных предприятий региона. С его помощью определяются значимые модели, позволяющие составлять прогнозы с различной заблаговременностью, а также оценивать прогностические значения с учетом различных условий деятельности сельскохозяйственных предприятий.
Forecasting production and economic indicators of agricultural production is relevant for drawing up long-term plans and programs for the development of the agro-industrial complex at various levels: a region, a municipality, an agricultural producer. This paper describes the created software package that allows predicting the yield of agricultural crops, labor costs for obtaining products, production volumes, financial indicators for the medium and long term. For prognostic purposes, the functions of growth with saturation were used: asymptotic and logistic. The software package has been tested on data from municipal districts and agricultural enterprises of the region. With its help, significant models are determined that make it possible to make forecasts with different lead times, as well as to evaluate prognostic values, taking into account different conditions of agricultural enterprises.
UMA MODERNIDADE ALTERNATIVA?
Authors: Andrade Inácio de Carvalho Dias de 
Published: July 2021

O artigo analisa a (re)produção da ideia de raça na urbanização de Lourenço Marques durante o período tardo-colonial. Na atual Maputo, seguidos projetos de urbanização buscaram dar materialidade a uma moderna nação ultramarina portuguesa ao mesmo tempo em que tentaram solucionar o problema da mão de obra autóctone. Assim, a capital moçambicana foi edificada a partir de diferentes percepções acerca de modernidade, de trabalho e de raça, que buscavam imprimir, ao cenário urbano laurentino, os grandes motes da colonização lusitana. Assim, o celebrado movimento de arquitetura moderna de Moçambique nasceu em meio a um dilema: como projetar uma cidade moderna, humanista e igualitária no bojo do violento governo colonial português? Embora esse impasse não tenha sido necessariamente resolvido (e tenha sido muitas vezes ignorado), o legado da geração modernista em Lourenço Marques ainda é bastante perceptível nos edifícios e avenidas da capital e nos dão pista para compreender a produção da ideia de raça no império colonial português.
Born in a Pair (?): Pisces II and Pegasus III*
Authors: Garofalo Alessia , Tantalo Maria , Cusano Felice , Clementini Gisella , Calura Francesco , Muraveva Tatiana , Paris Diego , Speziali Roberto 
Published: July 2021

Abstract
We have used B, V time-series photometry collected with the Large Binocular Telescope to undertake the first study of variable stars in the Milky Way ultra-faint dwarf (UFD) satellites Pisces II and Pegasus III. In Pisces II we have identified an RRab star, one confirmed and a candidate SX Phoenicis star, and a variable with uncertain classification. In Pegasus III we confirmed the variability of two sources: an RRab star and a variable with uncertain classification, similar to the case found in Pisces II. Using the intensity-averaged apparent magnitude of the bona fide RRab star in each galaxy, we estimate distance moduli of (m − M)0 = 21.22 ± 0.14 mag (d = 175 ± 11 kpc) and 21.21 ± 0.23 mag (d = 174 ± 18 kpc) for Pisces II and Pegasus III, respectively. Tests performed to disentangle the actual nature of variables with an uncertain classification led us to conclude that they most likely are bright, long-period, and very metal-poor RRab members of their respective hosts. This may indicate that Pisces II and Pegasus III contain a dominant old stellar population (t > 12 Gyr) with metallicity 〈[Fe/H]〉 − 1.8 dex along with, possibly, a minor, more metal-poor component, as supported by the V, B – V color–magnitude diagrams of the two UFDs and their spectroscopically confirmed members. The metallicity spread that we derived from our data sample is ≳0.4 dex in both systems. Lastly, we built isodensity contour maps that do not reveal any irregular shape, thus making the existence of a physical connection between these UFDs unlikely.
Fast Multipole Methods for N-body Simulations of Collisional Star Systems
Authors: Mukherjee Diptajyoti , Zhu Qirong , Trac Hy , Rodriguez Carl L. 
Published: July 2021

Abstract
Direct N-body simulations of star clusters are accurate but expensive, largely due to the numerous

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pairwise force calculations. To solve the post-million-body problem, it will be necessary to use approximate force solvers, such as tree codes. In this work, we adapt a tree-based, optimized Fast Multipole Method (FMM) to the collisional N-body problem. The use of a rotation-accelerated translation operator and an error-controlled cell opening criterion leads to a code that can be tuned to arbitrary accuracy. We demonstrate that our code, Taichi, can be as accurate as direct summation when N > 104. This opens up the possibility of performing large-N, star-by-star simulations of massive stellar clusters and would permit large parameter space studies that would require years with the current generation of direct summation codes. Using a series of tests and idealized models, we show that Taichi can accurately model collisional effects, such as dynamical friction and the core-collapse time of idealized clusters, producing results in strong agreement with benchmarks from other collisional codes such as NBODY6++GPU or PeTar. Parallelized using OpenMP and AVX, Taichi is demonstrated to be more efficient than other CPU-based direct N-body codes for simulating large systems. With future improvements to the handling of close encounters and binary evolution, we clearly demonstrate the potential of an optimized FMM for the modeling of collisional stellar systems, opening the door to accurate simulations of massive globular clusters, super star clusters, and even galactic nuclei.
Improving the registration process in a healthcare facility with lean principles
Authors: Nino Valentina , Martinez Kenneth , Gomez Karina , Claudio David 
Published: July 2021

Purpose: Process improvement in service industries, like the registration process in a hospital, can be achieved with the application of lean principles. In this specific case, lean principles were essential to analyze and improve patient satisfaction in a hospital in Montana. The clinics involved in the study included pediatrics (P), internal medicine (IM), and cardiology/pulmonary (CP). The purpose of this study was to address difficulties regarding patient satisfaction on the registration and check-in processes.Design/methodology/approach: Direct observations and patient surveys were initially made to understand the processes and identify the initial causes of dissatisfaction. A value stream map (VSM) was then used to break down even further the complexity of the patient flow. A Fishbone diagram and a concept map were completed to get to the root of the dissatisfaction.Findings: The information obtained from the lean tools showed that patients questioned the need for having a central registration in combination with the check-in process when this combination generates duplications of steps that cause unwanted delays. Several recommendations were explored by the engineering team to mitigate these delays and improve the registration process reducing the number of patients complaints by 40%.Practical implications: This project illustrated the application of Lean principles to resolve issues regarding a central registration format in a healthcare facility.Originality/value: A concept map was used as a tool that helps business organizations in the development of creative and new ways of looking and solving process deficiencies.
Spatiotemporal analysis, hotspot mapping, and clustering of confirmed cases of COVID-19 in the initial phase of the pandemic in Qom province, Iran
Authors: Mohammadbeigi Abolfazl , Arsang-Jang Shahram , Sharifipour Ehsan , Koohpaei Alireza , Vahedian Mostafa , Mohammadsalehi Narges , Jafaresmaeili Masoud , Karami Moharam , Mohebi Siamak 
Published: July 2021

Objective:
To identify the incidence rate, relative risk, hotspot regions and incidence trend of COVID-19 in Qom province, northwest part of Iran in the first stage of the pandemic.

Methods:
The study included 1 125 officially reported PCR-confirmed cases of COVID-19 from 20 February 2020 to 20 April 2020 in 90 regions in Qom city, Iran. The Bayesian hierarchical spatial model was used to model the relative risk of COVID-19 in Qom city, and the segmented regression model was used to estimate the trend of COVID-19 incidence rate. The Poisson distribution was applied for the observed number of COVID-19, and independent Gamma prior was used for inference on log-relative risk parameters of the model.

Results:
The total incidence rate of COVID-19 was estimated at 89.5 per 100 000 persons in Qom city (95% CI: 84.3, 95.1). According to the results of the Bayesian hierarchical spatial model and posterior probabilities, 43.33% of the regions in Qom city have relative risk greater than 1; however, only 11.11% of them were significantly greater than 1. Based on Geographic Information Systems (GIS) spatial analysis, 10 spatial clusters were detected as active and emerging hotspot areas in the south and central parts of the city. The downward trend was estimated 10 days after the reporting of the first case (February 7, 2020); however, the incidence rate was decreased by an average of 4.24% per day (95%CI:-10.7, -3.5).

Conclusions:
Spatial clusters with high incidence rates of COVID-19 in Qom city were in the south and central regions due to the high population density. The GIS could depict the spatial hotspot clusters of COVID-19 for timely surveillance and decision-making as a way to contain the disease.
Effect of basic life support training on the knowledge and skills of first aid of first year medical students
Authors: Karaman Esra , Avcu Nazire , Guneysel Ozlem 
Published: July 2021

Objective:
To determine the timing of first aid training in the medical school curriculum and the training method with the 8-hour first aid training given to the first-grade students of the faculty of medicine.

Method:
The study was conducted prospectively with 168 first year medical students at Faculty of Medicine, Maltepe University in October 2019. An 8-hour course plan consisting of theoretical and practical applications was prepared. Theoretical courses included cardiopulmonary resuscitation, basic life supports, epileptic seizures, heatstroke, aspiration, and drowning issues, while practical applications included cardiopulmonary resuscitation techniques, basic life support scenarios, Heimlich's Maneuver and the coma position. Students were sent a link consisting of 17 questions created with Google forms at the beginning and the end of the course. Learned knowledge was measured with the posttest, and pre-and post-training results were compared.

Results:
A significant increase was found in the rate of correct answers compared to the pre-training period. Even the rate of correct post-test answers increased significantly in all questions; the increase in the questions related to the subjects supported by practical applications was more remarkable. It was found that more incorrect answers were given to questions about environmental injuries.

Conclusions:
It is possible to improve the public recognition of first aid, even with one day of theoretical and practical training. Thus, adding first aid practical courses to the first-year medical school curriculum and raising awareness at an earlier age will play an essential role in medical education.
Shock hemorrágico como presentación inicial de divertículo de Meckel
Authors: Haro Camila 
Published: July 2021

Introducción: El divertículo de Meckel es una anomalía congénita frecuente que suele ser asintomática, pero puede dar lugar a complicaciones graves. La presencia de mucosa heterotópica gástrica o pancreática en el divertículo favorece la ulceración del mismo que puede causar una hemorragia digestiva. Nuestro objetivo es mostrar la presentación de un divertículo de Meckel con una hemorragia digestiva baja con shock hemorrágico.
Caso clínico: Paciente de 34 años, que se presenta con dolor abdominal y enterorragia, asociado a anemia con Hb 7,9. En la evolución instala una hemorragia masiva con shock hipovolémico, que responde a medidas de reanimación. Se solicita una arteriografía de vasos mesentéricos, que visualiza arteria irregular y tortuosa dependiente de la mesentérica superior que se emboliza. A las 48hs el paciente reitera el dolor abdominal, realizándose una laparoscopía que evidencia un divertículo de Meckel con signos de isquemia. Se reseca el mismo en cuña, con buena evolución posterior.
Discusión: La hemorragia digestiva es un desafío diagnóstico y terapéutico. De presentarse el paciente con inestabilidad hemodinámica el estudio de elección es la angio-tomografía y eventual embolización del vaso sangrante. El divertículo de Meckel es una causa rara de hemorragia digestiva en el adulto. La angioembolización puede ser utilizada como contemporizadora a la cirugía, permitiendo estabilizar al paciente del punto de vista hemodinámico.
Conclusiones: Se presentó el caso clínico de un paciente con un shock hemorágico secundario al sangrado de un divertículo de Meckel. El mismo fue tratado mediante angioembolización y posterior cirugía por isquemia local.
Desempenho econômico-financeiro e as decisões de instauração de regimes especiais no setor de saúde suplementar brasileiro
Authors: Reis Tatiele Alves , Macedo Marcelo Alvaro da Silva , Marques José Augusto Veiga da Costa 
Published: July 2021

Este estudo teve como objetivo analisar quais indicadores econômico-financeiros são capazes de explicar a decisão da ANS de instaurar regimes especiais nas operadoras, considerando as instaurações de regimes especiais ocorridas de 2017 a 2019. Foi utilizada a regressão logística com uma amostra de 154 operadoras. Após a análise fatorial, foi estabelecido como variáveis independentes: três fatores (rentabilidade, liquidez, despesas) e quatro indicadores (margem ebitda, endividamento, despesa médica e ciclo financeiro). A regressão logística utilizou o processo de reamostragem em t-1 e t-2. As variáveis relacionadas com a instauração de regimes especiais foram: o fator liquidez e os indicadores endividamento e ciclo financeiro; o último relacionado de forma mais fraca. Concluiu-se que a situação econômico-financeira é relevante na determinação dos regimes especiais de direção fiscal e técnica, principalmente a liquidez e o endividamento. Espera-se que este resultado contribua para uma melhor gestão das operadoras, a partir do controle desses aspectos financeiros.