bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Shiraz Trauma Transfusion Score (STTS) Potency With Common Scoring Systems for Trauma in Predicting the Short and Long Term Mortality of Injured Patients
Authors: Rahbari Sepideh Vosooghi , Hosseinpour Hamidreza , Karoobi Mohamadreza , Abolghasemi Hojat , Shahabinezhad Ali , Khosravaniardakani Sheida , Paydar Shahram 
Published: November 2021

Abstract
Background and Objective: Trauma is the leading cause of death in people under 40 years of age worldwide. Various studies have been conducted focused on reducing the annual mortality rate due to trauma. One of the most important measures is reducing the time between the incident and the treatment set up, therefore the estimation of the severity of trauma and progressing to mortality before further evaluation is justified. In this study, we aim to compare different trauma scoring systems (such as GAP, MGAP, RTS, TRISS) with a relatively new model – Shiraz Trauma Transfusion Score (STTS) – and to describe the best qualities of these scoring systems for trauma patients in short (less than 24 hours) and long (more than 24 hours) term.Methods: In this cross-sectional study, data from hospitalized trauma patients in Rajaei hospital (center B) of Shiraz, Iran from May to November 2016 were collected and analyzed. Collected data consisted of age, sex, hospital admission duration, mechanism of trauma along with clinical data for calculating different trauma scoring systems, were recorded. Results: while RTS and STTS were the best predictors of mortality in trauma patients in the first 24 hours (sensitivity of 100.00%), GAP and MGAP were the best predictors of the patients’ survival (specificity of 93.83% and 92.59%). GAP and ISS were the best predictors of mortality in trauma patients for more than 24 hours (sensitivity of 82.02%). On the other hand, TRIS and RTS were the best predictors of patients' survival (specificity of 82.59% and 80.26%).Conclusions: Our study findings suggest that the utility and applicability of Shiraz Trauma Transfusion Score(STTS) in predicting mortality is not only comparable with other commonly used scoring methods but it may be of more value in shortterm mortality prediction.
Nature-Inspired Techniques For Dynamic Constraint Satisfaction Problems
Authors: Bidar Mehdi , Mouhoub Malek 
Published: November 2021

Abstract
Combinatorial applications such as configuration, transportation and resource allocation, often operate under highly dynamic and unpredictable environments. In this regard, one of the main challenges is to maintain a consistent solution anytime constraints are (dynamically) added. While many solvers have been developed to tackle these applications, they often work under idealized assumptions of environmental stability. In order to address limitation, we propose a methodology, relying on nature-inspired techniques, for solving constraint problems when constraints are added dynamically. The choice for nature-inspired techniques is motivated by the fact that these are iterative algorithms, capable of maintaining a set of promising solutions, at each iteration. Our methodology takes advantage of these two properties, as follows. We first solve the initial constraint problem and save the final state (and the related population) after obtaining a consistent solution. This saved context will then be used as a resume point for finding, in an incremental manner, new solutions to subsequent variants of the problem, anytime new constraints are added. More precisely, once a solution is found, we resume from the current state to search for a new one (if the old solution is no longer feasible), when new constraints are added. This can be seen as an optimization problem where we look for a new feasible solution satisfying old and new constraints, while minimizing the differences with the solution of the previous problem, in sequence. This latter objective ensures to find the least disruptive solution, as this is very important in many applications including scheduling, planning and timetabling. Following on our proposed methodology, we have developed the dynamic variant of several nature-inspired techniques to tackle dynamic constraint problems. Constraint problems are represented using the well-known Constraint Satisfaction Problem (CSP) paradigm. Dealing with constraint additions in a dynamic environment can then be expressed as a series of static CSPs, each resulting from a change in the previous one by adding new constraints. This sequence of CSPs is called the Dynamic CSP (DCSP). To assess the performance of our proposed methodology, we conducted several experiments on randomly generated DCSP instances, following the RB model. The results of the experiments are reported and discussed.
Xuesaitong Capsule For Patients After Percutaneous Coronary Intervention For Unstable Angina: Study Protocol For a Randomized Controlled Trial
Authors: Yu Yanqiao , Li Shengyao , Duan Wenhui , Luo Jinwen , Zhao Yihan , Song Lei , Miao Lina , Xue Mei , Du JianPeng , Shi Dazhuo 
Published: November 2021

Abstract
• Background: This study was designed to investigate the effect of Xuesaitong (XST) capsule added to conventional treatment in patients after percutaneous coronary intervention (PCI) for unstable angina (UA).• Methods: This is a 12-week, randomized, multi-center, double-blinded, placebo-controlled clinical trial. A total of 120 patients with UA will be recruited and randomly allocated in a 1:1 ratio to receive XST or placebo (2 capsules twice per day) on the background of conventional treatment. The changed level of high-sensitivity C-reactive protein from baseline to week 12 is the primary outcome. Secondary outcomes include tumor necrosis factor-α, interleukin-6, platelet aggregation, blood lipid, angina symptoms and ST segment deviation in electrocardiogram. The safety of XST will be monitored during the trial.• Discussion: This study will provide an evidence regarding the efficacy and safety of XST on the background of conventional medical treatment in patients after PCI for UA.• Trial registration: Chinese Clinical Trial Registry, ChiCTR2000032152. Registered on 14 January 2020.
Elastic wave dispersion equation considering material and geometric nonlinearities
Authors: li xiangyang , Li Na , Zheng Bin , Bao Jianqiang , Wang Yan , Tian Yanwei 
Published: November 2021

Abstract
In this letter, we describe the propagation of longitudinal waves in one-dimensional nonlinear elastic thin rods with material nonlinearity and geometric nonlinearity. Mathematical analysis is used to derive the analytical dispersion relationship of longitudinal waves; subsequently, the numerical Fourier spectrum method is used to solve the nonlinear wave equation directly and the results are used to verify the correctness of the derived nonlinear dispersion relation.
Prevalence and health correlates of workplace violence and discrimination – a cross-sectional study among hospital employees in Switzerland
Authors: Stahl-Gugger Alenka , Hämmig Oliver 
Published: November 2021

Abstract
BackgroundViolence and discrimination are common events at work, especially in the health care setting. Nevertheless, comprehensive data on their prevalence and health correlates among the entirety of hospital staff is missing. Thisstudy aimed to estimate the prevalence of different self-reported forms of workplace violence and discrimination among hospital employees in Switzerland and to investigate the association between such experiences at work and the general and mental health status. MethodsThis cross-sectional study was based on secondary data from a company survey among five public hospitals and rehabilitation clinics in German-speaking Switzerland conducted in 2015/16 (N = 1,567). Relative frequencies of different forms of violence and discrimination at work were calculated for the entire study population and for the occupational subgroups. These prevalence data were compared with a representative sample of the general Swiss working population as a reference group. Multiple logistic regression analyses were further computed to investigate the association between the number of different experienced forms of violence and/or discrimination at work and several poor general and mental health outcomes (poor self-rated health, sleep disorders, psychological stress, mental problem, burnout). Results23% of hospital employees experienced at least one form of discrimination or violence at work in the past year, compared to 18% of the general working population. Nurses and midwives were by far the most affected occupational group regarding all forms of violence. More and particularly most exposed hospital employees with regard to experiences of violence and/or discrimination at work showed almost consistently increased prevalence rates and odds ratios for the studied poor mental and general health outcomes. Prevalence rates and adjusted odds ratios for strong sleep disorders, strong stress feelings and increased burnout symptoms were between three and four times higher among the most exposed compared to those hospital employees who did not make any of these experiences at work at all. ConclusionsStudy findings underline the importance of an active combat against violent and discriminatory behaviors in health care. Prevention strategies should particularly focus on nurses and midwives, which turned out to be the most affected and exposed group of all health professions.
The impact of the pandemic on the formation of tax policy in Russia
Authors: Косенкова Ю.Ю. , Насырова Р.А. 
Published: November 2021

В статье проанализированы основные налоговые меры, принятые в Российской Федерации для смягчения последствий новой коронавирусной инфекции, проведена классификация таких мер, дана оценка последствий их реализации. Статья содержит анализ изменения в результате пандемии налоговых поступлений в бюджетную систему, доначислений в результате контрольной работы налоговых органов, изменения количества налогоплательщиков. Также сделан вывод об эффективности преодоления российской экономикой последствий первого (самого сложного) года пандемии и дана оценка роли ФНС в осуществлении мер государственного регулирования.
The article analyzes the main tax measures taken in the Russian Federation to mitigate the consequences of the new coronavirus infection, classifies such measures, and evaluates the consequences of their implementation. The article contains an analysis of changes as a result of a pandemic in tax revenues to the budget system, additional charges as a result of the control work of tax authorities, changes in the number of taxpayers. It also made a conclusion about the effectiveness of overcoming the consequences of the first (most difficult) year of the pandemic by the Russian economy and assessed the role of the Federal Tax Service in the implementation of state regulation measures.
Application of crowdsourcing in higher education
Authors: Джамалдинова М.Д. , Курдюкова Н.О. 
Published: November 2021

Данная научная работа посвящена исследованию современной практики применения краудсорсинга в различных видах деятельности высших учебных заведений, особенно тех, которые требуют времени, энергии и огромных ресурсов. Изучено введение четырех основных стратегий краудсорсинга, а также исследована каждая стратегия на примерах краудсорсинговых проектов в высших учебных заведениях мира.
This research paper is devoted to the study of the modern practice of using crowdsourcing in various types of activities of higher educational institutions, especially those that require time, energy and huge resources. The introduction of the four main crowdsourcing strategies is studied, and each strategy is examined using examples of crowdsourcing projects in higher education institutions around the world.
Small business in the general management system of the Sakhalin region: problems and solutions
Authors: Филобокова Л.Ю. , Анисимов И.В. 
Published: November 2021

Россия сильна своими регионами, существенный вклад в состояние и возможности развития которых оказывает предпринимательство в малых организационно-экономических формах хозяйствования. Малое предпринимательство - подсистема региональной экономики, управление развитием которого подчинено целям и задачам, стоящим как непосредственно перед самой системой, так и перед системами вышестоящего уровня. Императивы обеспечения опережающего развития Сахалинской области предопределили идентификацию проблем низкой эффективности управления малым предпринимательством, обусловленных инфраструктурной средой. В данной статье представлены авторские подходы к решению проблемы коммуникационно-магистрального элемента и в целом инфраструктурного обеспечения малого предпринимательства и региональной экономики Сахалинской области.
Russia is strong in its regions, a significant contribution to the state and the possibility of the development of the entrepreneurship in small organizational and economic forms of management. Small business - a regional economy subsystem, whose development management is subject to the goals and objectives that are directly in front of the system itself and in front of the superior systems. Imperatives to ensure the leading development of the Sakhalin region predetermined the identification of the problems of low efficiency of small-state-based management, due to the infrastructure environment. This article presents author's approaches to solving the problem of the communication and main element and in general infrastructure support for small entrepreneurship and the regional economy of the Sakhalin region.
Analysis of the hop production and processing market in the Russian food security system
Authors: Чеха О.В. 
Published: November 2021

В статье представлены результаты комплексного исследования на рынке производства и переработки хмеля. Проанализированы отчеты фирмы «Барт» и годовые отчеты International Hop Growers’ Convention в период 2007-2020 гг. Приведены и систематизированы данные Федеральной службы государственной статистики Российской Федерации, по Чувашской Республике и официального интернет-портала органов власти Чувашской Республики по формированию внутреннего рынка хмеля. Предложены меры регионального регулирования отрасли, которые согласованы с утверждённой Концепцией развития хмелеводства в Чувашской Республике на 2020-2025 гг. в рамках государственной программы.
The article presents the results of a comprehensive study on the market of hop production and processing. The reports of the company «Bart» and the annual reports of International Hop Growers'are analyzed Convention in the period 2007-2020. The data of the Federal State Statistics Service of the Russian Federation on the Chuvash Republic and the official Internet portal of the authorities of the Chuvash Republic on the formation of the domestic hop market are presented and systematized. The measures of regional regulation of the industry are proposed, which are coordinated with the approved Concept of hop growing development in the Chuvash Republic for 2020-2025 within the framework of the state program.
Reinforced thermoplastic fasteners
Authors: Чесноков А.В. , Андреев В.Н. , Тимофеев И.А. 
Published: November 2021

Обоснована актуальность применения армированных термопластов для изготовления крепежа для аэрокосмической техники. Разработана технология получения крепежа для соединения трехслойных панелей из угленаполненного (40%) полиэфирэфиркетона импортного и отечественного производства. Проведены исследования полученного крепежа. Полученные результаты применены в разработке технологии изготовления крепежа для несущих ферменных конструкций поддерживающих кабельную разводку на космических аппаратах. Средняя удельная прочность крепежа на разрыв составляет 115 МПа·см/г, что определяет перспективность применения его в конструкциях аэрокосмической техники. На крепеж получены Технические условия «Детали крепежные армированные».
The relevance of the use of reinforced thermoplastics for the manufacture of fasteners for aerospace equipment is substantiated. A technology has been developed for obtaining fasteners for joining three-layer panels made of carbon-filled (40%) polyetheretherketone of foreign and domestic production. The research of the received fasteners has been carried out. The results obtained are used in the development of a technology for the manufacture of fasteners for load-bearing truss structures that support cabling on spacecraft. The average specific tensile strength of the fastener is 115 MPa cm/g, which determines the prospects of its application in the structures of aerospace technology. The technical conditions «Reinforced fastening parts» were received for the fasteners.
Prospects for the development of artificial intelligence in Russia
Authors: Мокану Г.С. 
Published: November 2021

Статья посвящена обзору современной ситуации и перспектив развития искусственного интеллекта в Российской Федерации. Россия обладает огромным потенциалом для развития искусственного интеллекта и информационных технологий, в связи с этим актуальным становится изучение проблем развития данных сфер. Помимо этого статья излагает варианты решения проблем повышения инновационной активности в области искусственного интеллекта и информационных технологий.
The article is devoted to the review of the current situation and prospects for the development of artificial intelligence in the Russian Federation. Russia has a huge potential for the development of artificial intelligence and information technologies, in this regard, the study of the problems of the development of these areas becomes relevant. In addition, the article presents options for solving the problems of increasing innovation activity in the field of artificial intelligence and information technologies.
Analysis of influence of graph characteristics in the task of link prediction
Authors: Мосалов О.П. , Ефимова А.О. , Соколова Д.А. 
Published: November 2021

В работе рассматривается задача предсказания новых зависимостей между сущностями предметной области на основе информации, извлечённой из плохо структурированных данных. Предложены структура хранения таких данных в виде графа и алгоритм поиска новых сущностей на основе значений ряда характеристик такого графа. Приведены описание вычислительных экспериментов и обсуждение их результатов. Сформулированы требования к единой метрике оценки эффективности таких алгоритмов, приведены результаты анализа существующих метрик.
In the article a task of link prediction in a subject area, that is based on the information extracted from improperly structured data, is considered. A structure to store such data in a form of a graph and an algorithm for link prediction based on the characteristics of the graph are suggested. The computational experiments are described and their results are discussed. Requirements for a unified metric for such algorithms are defined, and the results of existing metrics analysis are given.
Modern technologies of deep learning for forecasting time series
Authors: Сотников А.И. 
Published: November 2021

Прогнозирование временных рядов стало очень интенсивной областью исследований, число которых в последние годы даже увеличивается. Глубокие нейронные сети доказали свою эффективность и достигают высокой точности во многих областях применения. По этим причинам в настоящее время они являются одним из наиболее широко используемых методов машинного обучения для решения проблем, связанных с большими данными.
Time series forecasting has become a very intensive area of research, the number of which has even increased in recent years. Deep neural networks have been proven to be effective and achieve high accuracy in many applications. For these reasons, they are currently one of the most widely used machine learning methods for solving big data problems.
Influence of digital economy on industrial wastewater discharge: evidence from 281 Chinese prefecture-level cities
Authors: Sun Xiangxiang , Chen Zhangwang , Shi Tingting , Yang Guangqing , Yang Xiaoyan 
Published: November 2021

Abstract
The development of digital economy affects environmental pollution emission and green sustainable development. However, the relationship between digital economy and industrial wastewater discharge has rarely been examined. This study establishes the urban digital economy evaluation index system, measures the digital economy indexes of 281 prefecture-level cities in China from 2011 to 2016, and examines the impact effect of digital economy development on industrial wastewater discharge using the system generalized method of moment method and the intermediary effects model. The empirical results indicate that the digital economy reduces the industrial wastewater discharge. As evidence shows, the digital economy significantly promotes the upgrading of industrial structure, which is an important factor affecting the industrial wastewater discharge. Additionally, the inhibiting effect of digital economy on industrial wastewater discharge is more significant in big cities. This study provides a scientific base and guidance for reducing environmental pollution emissions and promoting the development of digital economy.
The effect of different types of AOPs supported by hydrogen peroxide on the decolorization of methylene blue and viscose fibers dyeing wastewater
Authors: Bilici Zeynep , Saleh Mohammed , Yabalak Erdal , Khataee Alireza , Dizge Nadir 
Published: November 2021

Abstract
Wastewater from the textile industry containing a high concentration of organic and inorganic chemicals has strong color and residual chemical oxygen demand (COD). Therefore, advanced oxidation processes (AOPs) are very good candidates to treat textile industry wastewater. In this study, we investigated the effect of different types of AOPs supported with hydrogen peroxide (H2O2) for the treatment of viscose fibers dyeing wastewater. Fenton, photo-Fenton, and Fenton-supported subcritical water oxidation (FSWO) processes were chosen as AOPs to compare the treatment efficiency of viscose fibers dyeing wastewater. The effects of solution pH, Fe2+ concentration, and H2O2 concentration on the treatment of viscose fibers dyeing wastewater were tested. The maximum color and COD removal efficiency was obtained corresponding to pH 2.5 for all oxidation methods when methylene blue (MB) dye solution was used. However, the maximum efficiencies were obtained at pH 3.0 for real textile wastewater decolorization. The MB dye removal efficiency was increased to 97.22, 100, and 100% for Fenton, photo-Fenton, and FSWO processes, respectively, when the addition of H2O2 concentration was adjusted to 125 mg/L. However, the maximum color removal efficiencies of viscose fibers dyeing wastewater were obtained 56.94, 61.26, 64.11% for Fenton, photo-Fenton, FSWO processes, respectively. As a result, the FSWO showed maximum color removal efficiencies.