bluuebunny/crossref_metadata_2025 huggingface dataset:
房屋建筑监理的操作要点及实施探析
Authors: 金 江华
Published: August 2020

近年来，我国加大了改革开放的力度，从而推动了社会经济的飞速发展，为我国城市化建设工作的全面开展创造了良好的条件，推动了房屋建筑数量的不断增加，使得人们对房屋建筑工程质量问题越发的重视。所以，为了有效的确保房屋建筑工程施工质量，最为重要的就是从房屋建筑监理工作入手来进行优化和完善。在实际开展各项房屋建筑施工工作的时候，应当全面的推进房屋精细化管理工作，并加大力度对监理工作人员的专业能力和素质进行培养。房屋建筑工程最为突出的特点就是施工工作较为困难，施工工作具有较强的复杂性，这样就对监理工作人员的专业能力提出了更高的要求。这篇文章主要针对房屋建筑监理工作展开深入细致的分析研究，希望能够对我国房屋建筑工程行业的稳步健康发展有所帮助。
长输管道定向钻穿越施工技术和管理
Authors: 杨 军
Published: August 2020

管道传输是一种非常重要的传输能源的方式，而且管道也是许多工程建设的重点项目。如今，人们就非常的重视长输管道的施工。这种类型的管道施工难度是很大的，而且容易受到各种因素的影响，在建设过程中会出现各种问题。在进行管道施工的时候往往需要穿越山川或者河流，这些地形地貌对于传输管道施工的适应是非常大的，同时管道施工又经常会造成环境破坏。传输管道施工技术的应用是非常关键的，如果出现问题的话就会增加施工的风险。定向穿越施工就是一种比较先进的施工技术，有着很多的优点，对于解决上述的一些问题都有着显著的效果。
光伏发电并网与微网运行控制仿真分析
Authors: 马 尚行 , 沈 英达 , 戴 永军
Published: August 2020

作为前景良好的分布式发电技术，光伏发电在并网过程中容易带来各种不良影响。为建立有效并网和微网运行控制策略，还要加强光伏发电系统动态仿真分析。基于此，文章对光伏发电并网控制策略展开了分析，并对光伏发电、并网控制、微网运行各个阶段进行了控制仿真，为关注这一话题的人们提供参考。
商业办公楼的绿色建筑设计思路
Authors: 华 峰
Published: August 2020

改革开发以后我国的社会经济得到了快速发展，综合国力不断提升，社会也日益的繁荣。在经济的发展、技术的进步也在推动着社会各个领域的发展。如今，建筑行业的发展就是非常快速的，建筑行业的产品也就是各种建筑工程，一般包括商用建筑、民用建筑以及共用建筑等几种类型。一般来说商业建筑和民用建筑的差别是很大的。而在如今的形势下，建筑市场的商业建筑需求量是非常大的。而随着人们环保理念的增强，在商业办公楼的设计中融入绿色建筑的理念就显得非常的重要。下面我们就对商业办公楼的特征进行了简答的介绍，然后再此基础上分析了该怎样利用绿色建筑设计思路来进行商业办公楼的设计。
货车超载运输对公路的危害及经济效益影响评价研究
Authors: 郭 瑞
Published: August 2020

我国经济高速的发展当中，使得我国的公路交通运输行业也有着长足的发展。但是随着各种运输车辆的增多，当下的运输市场的竞争越来越激烈，部分货运车的车主为了进一步的降低成本，出现了超载运输的现象，为此文章就货车超载运输过程中，对于公路的危害，以及对经济效益的影响进行评价。
4G室分向5G演进建设方案浅谈
Authors: 胡 文星 , 朱 炫滋 , 周 博明 , 张 虹 , 李 罡
Published: August 2020

当前通信行业正处于4G向5G演进的关键时期，文章主要探讨如何在室内分布系统建设中实现低成本建网，既充分利用现有4G网络资源，又发挥5G高容量优势。分析了传统DAS和数字化室分中具有代表性的两种建设方式，分别从不同维度分析了同轴电缆系统和分布式皮基站向5G演进方式，并给出网络改造的经验。针对同轴电缆系统，分别从空间传播链路、器件支持能力、施工难度三方面，对4G升级改造可行性进行了探讨；针对分布式皮基站，分别从覆盖能力、施工难度、系统维护、容量规划以及功率配置五方面，分析了其向5G演进的优势。
城市园林设计中海绵城市理念的应用探讨
Authors: 王 影
Published: August 2020

在当前时期，我们国家的城市规模正逐渐扩大，大量的地面被硬化处理，建筑数量也大幅增加，而这就导致排水变得较为困难，发生城市内涝的概率明显变大。除此以外，城市中存在水资源紧张问题，针对广大居民的工作、生活均会产生一定影响。为了使得以上这些问题得到切实消除，在展开城市规划设计的过程中应该要将海绵城市理念予以应用，确保水资源可以实现循环利用，城市也能够实现可持续发展。在对城市园林予以设计、使用时是离不开水资源的，而且消耗量较大，因而要将海绵城市理念予以有效应用。
集中控制系统在煤矿带式输送机上的应用
Authors: 金 涛
Published: August 2020

带式输送机在煤矿生产环节中应用非常广泛，它具有结构简单、效率高、系统稳定性好等优点。随着社会发展和技术的进步，国家对煤矿安全管理水平要求越来越高，推进煤矿"四化"建设，实行"无人则安，少人则安"是煤矿未来发展的必由之路，对带式输送机进行集中控制不但可以减人提效，而且更有利于矿井实现本质型安全管理。本文以董家河煤矿地面煤流集中控制系统为例，分析了该矿选运系统带式输送机集中控制系统的结构和功能，并分析了具体的应用情况，为今后更好的推广应用集中控制系统提升煤矿安全管理水平提供参考。
5G网络技术研究现状和发展趋势
Authors: 徐 晓静 , 高 式龙
Published: August 2020

在当前时期，计算机网络的发展速度是非常快的，这为通信行业成长奠定了坚实的基础。现阶段，5G技术已经开始得到应用，这就使得网络通信技术应用空间切实扩大，能够保证通信的便捷性大幅提高，更为重要的是，通过5G技术可以使得物联网发展速度持续加快，工业自动化程度切实提升，智慧城市的建设目标也会达成，可以这样说，5G技术的应用使得万物互联能够实现。本篇文章针对5G网络研究的实际情况，以及发展的具体措施展开全面分析，以期使得大家能够对5G技术有更为清晰的认知，进而确保5G产业发展能够更为迅速、稳健。
家具表面水性漆漆膜理化性能研究
Authors: 褚 翔 , 赵 恺
Published: August 2020

和油漆相比，水性漆具有节能环保等优势，但其理化性能相对薄弱，不符合GB/T4893的要求。文章将新型水性漆为例，根据GB/T4893规定的测定方法，分析漆膜耐液性、耐湿热性、耐干热性、附着力、耐冷热温差、耐磨性及抗冲击性，探究其是否符合国标要求，为水性漆推广应用提供帮助。
新时代农村人居环境整治的现状与对策探微
Authors: 肖 衍合
Published: August 2020

新时代，乡村振兴战略下，对农村人居环境进行整治，成为建设"美丽中国"的一项重要举措。当前，农村人居环境深受生活垃圾污染和生活污水污染两方面因素的负面影响，整体整治状况并不理想，同时各项政策也难以得到有效执行，且缺乏相应整治资金、技术水平较差，因此需要进行科学分析，正确把握问题出现的成因并采取合理对策加以解决。为此，文章主要对当前农村人居环境整治现状进行分析，探讨改善农村人居环境整治质量的有效对策，旨在提供具备参考意义的借鉴。
思政视域下装饰工程预算课程建设的探索
Authors: 张 高德
Published: August 2020

目前，在城市化越来越严重的今天，建设工程行业飞速发展，高校环境设计专业中建筑装饰工程预算（造价）已经变成了比较热门的课程，在思政视域下，如何加强《装饰工程预算》课程的建设，如何进行课程思政教学，是文章重点谈论的内容。文章将提出课程建设的相关策略，为《装饰工程预算》的课程建设结合高校专业及思政教育实践探索做出贡献。
计算机电子信息技术在工程管理中的应用分析
Authors: 苏 争争
Published: August 2020

文章对工程管理中发展电子信息技术的优势进行了分析，提出了实现信息共享、提高信息准确度、强化智能管理三方面好处。针对目前电子信息技术发展中存在的问题，文章提出了培养专业人才、建设共享平台、发展技术、结合管理环节的发展措施，为工程管理提供了一些发展思路。
公路桥梁工程预制梁施工管理探讨与实践
Authors: 桑 田
Published: August 2020

在最近的几年时间里，我国加大了改革开放的力度，从而推动了我国社会经济的飞速发展，这样就为我国公路桥梁工程行业的发展带来了良好的机遇。在整个公路桥梁工程中，预制梁施工工作是非常重要的，预制梁施工工作最为突出的特点就是施工简便，效率高，工程施工持续时间短等等。但是因为受到管理工作的限制，所以公路桥梁工程预制梁结构施工质量无法从根本上加以保证。施工管理工作的主要作用就是针对工程施工人员以及各项施工工作进行全面的管理，保证各项工作能够按照既定的计划按部就班的进行，提升各项工作的效率和质量。并针对施工进度进行全面的监控，针对施工过程中遇到的各类问题利用有效的方法加以解决。公路桥梁工程预制梁施工中施工管理工作的作用是非常巨大的，所以我们需要给予重点关注。
便携式落锤弯沉仪在路基压实质量快速检测中的应用
Authors: 褚 佰超 , 蔡 智渊
Published: August 2020

我国经济社会不断发展的同时，国家大力推动基础设施建设，新建了大量的公路，在这一过程中对路基质量快速检测与评价显得尤为重要。文中主要针对路基压实度、回弹模量和弯沉值等评价指标，对便携式落锤弯沉仪（PFWD）快速检测方法进行了试验研究，为路基压实质量快速检测的推广应用提供参考。
PRESENTING WOMEN IN POST-INDEPENDENCE HISTORIOGRAPHY: BUILDING THE CHARACTER OF STATE DEFENSE THROUGH THE HISTORY
Authors: Wulandari Ayu
Published: August 2020

This paper discusses the importance of historical narrative in an effort to grow the character of the defense of the country. This is motivated by the problem of mindset about defending the country, that defending the country is the duty of the Indonesian National Army and Police, and defending the country is only appropriate for men. In this issue, historical studies play an important role in deconstructing people's mindsets. Therefore, this paper offers a solution to build the character of state defense, namely through efforts to present women in post-independence historiography. This paper aims to encourage the dismantling of the exclusion of women's roles in post-independence historiography, because in reality, Indonesian women are involved in the defense of the state after 1945. The results of the research in this paper show that after Indonesia's independence, many women had a role important in politics, the arts, to the health sector. By introducing a narrative about how important the role of women in the history of post-independence, the younger generation will have an awareness that defending the country can also be done by women. Thus, presenting women in post-independence historiography will greatly help the Indonesian people to grow the character of state defense.
Keywords: Exclusion, Historical Awareness, Historiography, State Defense, Women.
THE SILK ROAD ECONOMIC BELT POLICY IN SUPPORTING CHINESE GEOPOLITIC PROJECTIONS IN THE REGION
Authors: Iriawan Sony
Published: August 2020

The Chinese government's policy in The Silk Road Economic Belt aims to facilitate the infrastructure of land route transportation. Railway infrastructure projects and installation of oil and gas pipelines require a large investment, and Chinese political power to influence every country to support and be involved in the Belt Road Initiative project. The direction of the Chinese government's policy is certainly intended to underpin China's geopolitical projections in the region. The research question is analyzed through theory of geopolitics, geostrategy and geoeconomics. The research methodology, based on descriptive analytic, is supported by data collection techniques and is equipped with data sources relevant to the phenomena discussed. In conclusion, China's geopolitical projections become the main goal for the Chinese government in the Silk Road Economic Belt policy. The assumption of the geopilitical theory of the heartland illustrates that the mastery of the land logistics route supports China's efforts to influence globally by building a logistics path that further connects China with the global world, including Europe, Asia, the Middle East and North Africa.

Keywords: China, Geopolitics, The Silk Road Economic Belt.
WOMEN IN MILITARY STRATEGY: A REVIEW OF WOMEN EMANCIPATION AND PROTECTION
Authors: Matondang Erlinda
Published: August 2020

Whether in conflict and war or peacebuilding, women are always considered victims of human rights violation and the vulnerable. In recent decades, there has been efforts to advocate for the protection of women's rights and women empowerment in the name of emancipation. This has allowed women's presence in several key sectors, including politics and military, resulting in a new role for women as resources in military strategy. This has put the policy to protect women during war into question, especially when women have now become a combatant. This paper analyzes this issue through two concepts (women protection and military strategy to understand the military's perception toward women's position and one theory (feminism) to understand women's perception toward their roles in the military during war. Therefore, the object of this observation is the role of women in military strategy with regard to the implementation of women' rights protection and military strategy. In this observation, this paper collects secondary data through literature review. Through this observation, we can have broader understanding of the role of women in military strategy because the primary purpose of this paper is to assess the possibility for changing women protection during war policy to reflect the current condition.
Keywords: emancipation, human rights, military strategy, women protection
The molecular basis for the prothrombotic state in sickle cell disease
Authors: Arun S. Shet  , Maria A. Lizarralde-Iragorri  , Rakhi P. Naik
Published: August 2020

The genetic and molecular basis of sickle cell disease (SCD) has long since been characterized but the pathophysiological basis is not entirely defined. How a red cell hemolytic disorder initiates inflammation, endothelial dysfunction, coagulation activation and eventually leads to vascular thrombosis, is yet to be elucidated. Recent evidence has demonstrated a high frequency of unprovoked/recurrent venous thromboembolism (VTE) in SCD, with an increased risk of mortality among patients with a history of VTE. Here, we thoroughly review the molecular basis for the prothrombotic state in SCD, specifically highlighting emerging evidence for activation of overlapping inflammation and coagulation pathways, that predispose to venous thromboembolism. We share perspectives in managing venous thrombosis in SCD, highlighting innovative therapies with the potential to influence the clinical course of disease and reduce thrombotic risk, while maintaining an acceptable safety profile.
Mean Platelet Volume and Platelet Count in Patients with Type 2 Diabetes Mellitus and Impaired Fasting Glucose
Authors: Bhatta Sushama , Singh Samir , Gautam Santosh , Osti Bidur Prasad
Published: August 2020

Background: Diabetes mellitus is a chronic metabolic disorder characterized by hyperglycemia and associated with long term macrovascular and microvascular complications. Platelet parameters such as mean platelet volume and platelet count are indicators of thrombotic potential. These parameters have been reported to be increased in diabetic patients, leading to increased risk of vascular complications. The objective of this study was to determine mean platelet volume and platelet count in patients with Type 2 Diabetes mellitus, impaired fasting glucose and non -diabetic controls, and compare mean platelet volume and platelet count between the three groups. Methods: A hospital based cross-sectional observational study was conducted at KIST Medical College Teaching Hospital from February to May 2018. A total of 300 participants were included in the study which were grouped into Group 1,2 and 3 based on fasting blood glucose level as non -diabetic controls, impaired fasting glucose and Type 2 Diabetes mellitus respectively with 100 subjects each. Platelet count and mean platelet volume were compared between the three groups. Analysis of variance with post hoc Tukey test and Pearson correlation coefficient were used for statistical evaluation. Data were expressed as mean ± standard deviation. A p value <0.05 was considered as statistically significant. Results: Mean platelet volume was significantly higher in diabetic and impaired fasting glucose group (7.40 ± 0.77 fl and 6.62 ± 0.58 fl), respectively as compared to non diabetic group (6.06 ± 0.41 fl) (p<0.001). There was no significant difference in the platelet count between the three groups (p=0.869). Significant correlation was seen between rising fasting blood sugar and mean platelet volume (r =0.559; p<0.001), while no correlation existed between platelet count and fasting blood sugar level (r =0.037; p =0.526).Conclusions: Mean platelet volume is increased in patients with type 2 diabetes mellitus and impaired fasting glucose. This is a simple and cost effective test to predict vascular complications in type 2 diabetes mellitus.Keywords: Diabetes mellitus; impaired fasting glucose; mean platelet volume; platelet count.
Quality of Life among People Living with Human Immunodeficiency Virus and Acquired Immune Deficiency Syndrome in a Anti-Retroviral Therapy Clinic
Authors: Baral Rojina , Thapa Usha , Khatiwada Dipendra
Published: August 2020

Background: The increasing burden of Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome and its association with the stigma, disability, less productive life, diminished immune has overall affected the quality of well being. There are also many factors that directly or indirectly affect the quality of Life of People living with Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome. Thus, this study aims to assess Quality of Life among people living with Human Immunodeficiency Virus/Acquired Immune Deficiency Syndrome.Methods: A cross-sectional analytical study among 100 individuals of age 18 years and above and diagnosed from 6 month and above attending the ART clinic of Bharatpur Hospital was carried out between using simple random sampling technique. Quality of life was evaluated using World Health Organization Quality of life questionnaire (WHO QOL-BREF instrument). Results: This study reveals that the Quality of Life median scores were highest for the environmental domain (25±2.6) and lowest for the social domain (11±1.4). The overall Quality of Life median scores in the other two domains were physical domain (23±2.4), and psychological domain (19±3.1). The Quality of Life scores of all four domains were strongly co-related with the total measure of the quality of life. The strongest correlation was seen in psychological domain .Sex, Education, Marital status, Cause of HIV, Co-morbidities of illness, and Family support was statistically associated with overall Quality of Life.Conclusions: Higher education, Good family support and no co-morbidties to the illness has a greater impact in improving the quality of Life.Keywords: ART; HIV/AIDS; quality of life.
Troops of the Vilna and Warsaw military districts of the Russian Empire in Belarus (1864–1914)
Authors: Arlukevich Alexander В.
Published: August 2020

The article reflects the processes of concentration and territorial deployment of troops of the Russian Empire in Belarus during the existence of the Vilna and Warsaw military districts after the end of the uprising of 1863–1864. The analysis of the reasons for the concentration of formations and units of the Russian army in the region, taking into account the current military-political situation in Europe and socio-political processes that took place within the Belarusian provinces themselves, allowed the author to determine the goals and tasks of the troops that were solved by the latter in Belarus from the middle 1860s to the beginning of the World War I. This research is based on a wide range of sources that were first introduced into scientific circulation, identified by the author in the archives and book repositories of Russia and Belarus. The author identifies the causes and preconditions of creation of system of territorial administration of the armed forces of the Russian Empire in Belarus. The process of creating organizational structures of the Vilna military district and the composition of the military contingent stationed in Belarus and the locations of individual parts and units of the Russian army within the borders of Belarusian provinces are discovered. The author identifies the causes of changes in the composition and the scheme of territorial deployment of troops during the period of military districts.On the basis of a comparison of the results obtained in the study of the above aspects of the subject, the author tried to give an overall assessment of the role and place of Belarusian lands in the system of ensuring military-strategic interests of the Russian Empire, as well as the role of the army in political life of Belarus in the second half of the 1860s until the outbreak of the World War I.
The study of the credit and financial system of the Russian Empire (1861–1914) in pre-revolutionary historiography: university schools of Ukraine
Authors: Brukhanchik Ekaterina A.
Published: August 2020

The article is devoted to the study of the university schools of Ukraine that developed issues of credit and finance of the Russian Empire in the second half of the 19th – early 20th century in the pre-revolutionary period. Its purpose is to determine the main scientific achievements of the Kyiv, Kharkiv and Odessa schools of financial law in studying the credit and financial system of the Russian Empire (1861–1914) by establishing the features of pre-revolutionary Ukrainian historiography, identifying the characteristics of each of these scientific schools, and identifying their representatives. The relevance of the article is determined by studying the scientific heritage of the most progressive schools of financial law, whose representatives not only participated in legislative activities (preparation of draft legislative acts on the implementation of the foreclosure operation, financial reform of 1895–1897, in the field of small loans), were part of the collegial management bodies largest banks, but also put forward original ideas of both practical and theoretical nature. Many proposals of Ukrainian economists formed the basis for new areas of economic thought (M. I. Tugan-Baranovsky is one of the founder of institutionalism). Their legacy can be applied in solving modern strategic tasks of the state. The novelty of the study is determined by the fact that for the first time systematized the ideas of Ukrainian schools of economists regarding credit and finance of the Russian Empire in the second half of the 19th – early 20th century. The characteristic features of the Kyiv scientific school (status representatives, progressive ideas, contribution to the development of institutionalism), Kharkiv school (popularization of the ideas of credit cooperation, conducting scientific seminars on pressing economic issues) and Odessa school (criticism of banks, their classification) are determined. The most common topics for research are noted, prominent representatives are listed.
On one rational integral operator of Fourier – Chebyshev type and approximation of Markov functions
Authors: Patseika Pavel G. , Rouba Yauheni A. , Smatrytski Kanstantin A.
Published: August 2020

The purpose of this paper is to construct an integral rational Fourier operator based on the system of Chebyshev – Markov rational functions and to study its approximation properties on classes of Markov functions. In the introduction the main results of well-known works on approximations of Markov functions are present. Rational approximation of such functions is a well-known classical problem. It was studied by A. A. Gonchar, T. Ganelius, J.-E. Andersson, A. A. Pekarskii, G. Stahl and other authors. In the main part an integral operator of the Fourier – Chebyshev type with respect to the rational Chebyshev – Markov functions, which is a rational function of order no higher than n is introduced, and approximation of Markov functions is studied. If the measure satisfies the following conditions: suppμ = [1, a], a > 1, dμ(t) = ϕ(t)dt and ϕ(t) ἆ (t − 1)α on [1, a] the estimates of pointwise and uniform approximation and the asymptotic expression of the majorant of uniform approximation are established. In the case of a fixed number of geometrically distinct poles in the extended complex plane, values of optimal parameters that provide the highest rate of decreasing of this majorant are found, as well as asymptotically accurate estimates of the best uniform approximation by this method in the case of an even number of geometrically distinct poles of the approximating function. In the final part we present asymptotic estimates of approximation of some elementary functions, which can be presented by Markov functions.
Asymptotic properties of M-estimator for GARCH(1, 1) model parameters
Authors: Tserakh Uladzimir S.
Published: August 2020

GARCH(1,  1) model is used for analysis and forecasting of financial and economic time series. In the classical version, the maximum likelihood method is used to estimate the model parameters. However, this method is not convenient for analysis of models with residuals distribution different from normal. In this paper, we consider M-estimator for the GARCH(1,  1) model parameters, which is a generalization of the maximum likelihood method. An algorithm for constructing an M-estimator is described and its asymptotic properties are studied. A set of conditions is formulated under which the estimator is strictly consistent and has an asymptotically normal distribution. This method allows to analyze models with different residuals distributions; in particular, models with stable and tempered stable distributions that allow to take into account the features of real financial data: volatility clustering, heavy tails, asymmetry.
Automated Universal Installation for Measuring Optical and Magneto-Optical Parameters of Ferromagnetic Metals and Alloys in Reflection of Light
Authors: Musayev Z. , Isgandarov I. , Emin B.
Published: August 2020

Due to the fact that the optical and magneto-optical parameters during reflection are determined in different experimental installations, each time it is necessary to adjust the studied sample. This leads to various errors and wastes time. Therefore, it was decided to combine the two installations into one whole and by automating the processes to determine the parameters with the same adjustment. For automation, a unit for automation of measurement modes and a stepper motor control device were developed and introduced into the experimental setup.
On the Use of Neural Networks to Solve the Social Clustering Problem
Authors: Ketova K. , Rusyak I. , Vavilova D.
Published: August 2020

The problem of social clustering being studied in the paper is one of the main subtasks; its solution is an integral part of analysis and prognosis of socio-economic processes. Analysis and systematization of knowledge in the field of applying neural network modelling to regional system social clustering problem solving are implemented. It was demonstrated that today, the main factor of economic growth is human capital, which is composed of quantitative and qualitative features. The main quantitative element is population replacement which has a bearing on human capital development sustainability. Qualitative component has several aspects in it: healthcare, culture, education and science are among them. To estimate human capital structure, the population is divided into social clusters by these aspects. It was also shown that since social cluster is an attribute of sociogenesis, processes of social clustering themselves are the result of people social interactions. Social cluster is a specific state of social entity which includes description of not only entity’s objects, but the processes which led to its structural development and interactions with social environment. As part of the study, a conclusion was made that neural networks enable one to apply cluster analysis to the society. Neural networks prove notable capabilities to solve poorly formalized tasks; they are resistant to frequent environmental changes and effective to use when working with a large amount of incomplete or contradictory information. While studying the issue, it was observed that structural and statistical features of social clusters reflect aggregation of their elements. The structure of a social cluster is a characteristic which represents a conjunction of stable connections which provide its unity. Under different external and internal changes, the main properties of social clusters are preserved. The grading of social demographic elements by health condition and cultural and educational level is set, in accordance with which collecting a statistical data to solve the clustering problem is implemented.
Last Changes in Orchidaceae Juss. Family Spread in the Territory of the Nakhchivan Autonomous Republic
Authors: Salmanova R.
Published: August 2020

Species content and distribution patterns of the Orchidaceae Juss. Family in the Nakhchivan Autonomous Republic have been studied. Considering last changes in literature data, materials included in the herbarium fund and the performed researches, 21 species of the Orchidaceae Juss. Family belonging to 8 Genera have been established in the territory of the Autonomous Republic.
The Participation of Hormones in the Processes of Cognitive and Socio-Emotional Aging
Authors: Bulgakova S. , Romanchuk N.
Published: August 2020

Aging is associated with generally accepted changes in brain functions, including cognitive ones. In addition, age makes its own adjustments to the work of the endocrine system. In turn, a change in the hormonal background during the aging process imprints the work of brain cells, cognitive functions, and socio-emotional functioning. Investigated, the relationship between sex hormones, cortisol, oxytocin and cognitive and socio-emotional functioning. Sex hormones are involved in neurite growth, synaptogenesis, dendritic branching, myelination, and other important mechanisms of neural plasticity. Physiological and pathological conceptualized theories suggest how sex hormones potentially cause neuroplasticity changes through four neurochemical neurotransmitter systems: serotonin, dopamine, GABA and glutamate. Many brain regions express high density estrogen and progesterone receptors such as the amygdala, hypothalamus, and hippocampus. The hippocampus is of particular importance in the context of mediating structural plasticity in the adult brain, differences in behavior, neurochemical patterns and structure of the hippocampus with a changing hormonal environment have been investigated. There is a significant association between emotion dysregulation and symptoms of depression, anxiety, eating pathology, and substance abuse. Higher levels of emotion regulation are associated with a high level of social competence.
Important Issues of the Organization of Management Accounts in Service Organizations in the System of Information Technologies and Communications
Authors: Shodiev E.
Published: August 2020

The article discusses the current problems and their solutions in the organization of the administrative account at the enterprises of sphere of services in the field of Information Technology and Communications of Uzbekistan. Problems affecting the information technology and communications services sector and issues related to their solution are being studied.
Automatic classification of Malaria Using Artificial Neural Network
Authors: Bashier Khawla , Osman Nashwa , Suliman Wafaa , Musaa Sarah , Attia Eslam
Published: August 2020

Malaria is one of the three most serious diseases worldwide, affecting 225 million infections each year in Sudan, mainly in the tropics where the most serious illnesses are caused by Plasmodium parasite. Automatic diagnosis design systems have been implemented to detect the presence of two types of Malaria (falciparum, vivax) using neural network. Firstly, the data has been acquisition from website and laboratory. The images were filtered to remove the noise using morphological filter, in order to separate the parasite from the other cell in the image k-means method is carried out. Then features (statics first order) were selected from textural features by t-test method, and neural network has been used to classify two types of Malaria. Finally, a graphical user interface has been designed to show result for two types of Malaria. After Complete the designing 95.45% accuracy 90.9%, sensitivity and 100% specificity has been determined.
Doctor-Patient Relationship: The Difficult Balance between Patient Psychology and Community Sociology
Authors: Turabian Jose Luis
Published: August 2020

Psychology and sociology share a common object of study, human behaviour, but from different perspectives. Sociologists have focused on macro variables, such as social structure, education, gender, age, race, etc., while psychology has focused on micro variables such as individual personality and behaviours, beliefs, empathy, listening, etc. Despite the importance of interpersonal relationship skills, they depend on the community or social context in which communication takes place, and by themselves may have little relevance in the consultation. The purely psychological analysis of the doctor-patient relationship often leads to an idyllic vision, with the patient-centred consultation as the greatest exponent, which rarely occurs in real life. The purely sociological or community / social analysis of the doctor-patient relationship leads to a negative view of the consultation, which is always shown as problematic. But, the psychological system in the doctor-patient relationship cannot be neglected, and its study is of importance, at least as an intermediate mechanism that is created through socio-community relations. Although the same social causes are behind the doctor-patient relationship, when acting on psychological factors in the consultation, they act as an optical prism scattering socio-community relations that affect the doctor and the patient, giving rise to a beam of different colors of doctor-patient relationship. In doctor-patient relationship there is a modality of psychotherapy, where attitudes, thoughts and behaviour of the patient, can be change, as well as it can be extended on the way of understanding and therefore changing, his social context. Because of the distance between socio-community relations and the form of doctor-patient relations is growing in complex societies, under these conditions, the sociological factor gives the important place to the psychological factor. Given these difficulties of the doctor-patient relationship one may ask how general medical practice can persist with the usual model of doctor-patient relationship. Pain and the desire to relieve them are the basic reasons for the patient and the doctor, and they do not disappear due to the contradictions of the doctor-patient relationship. In this way, the confrontation between sociological and psychological vision is replaced by an alliance of both currents, and each of them takes on meaning only in the general vision.
HUBUNGAN ANTARA PROFESIONALITAS TENAGA PENDIDIK DENGAN MUTU PENDIDIKAN DI MADRASAH ALIYAH NEGERI 1 PEKANBARU
Authors: Aisyah Siti , Setyaningsih Rini
Published: August 2020

It was a correlational research studying about educator professionality (X variable) and education quality (Y variable) at State Islamic Senior High School 1 Pekanbaru.  This research aimed at knowing educator professionality level, education quality level, and the correlation between educator professionality and education quality at State Islamic Senior High School 1 Pekanbaru.  The samples were 46 educators at State Islamic Senior High School 1 Pekanbaru that met the requirements of professional educators—educator competence, qualification of education, and certification.  The data were analyzed by using Pearson product moment correlational formula.  Based on the analysis, it showed that H0 was rejected and Ha was accepted.  It meant that there was a positive and significant correlation between educator professionality and education quality at State Islamic Senior High School 1 Pekanbaru.  It could be seen from the comparison between robserved 0.694 and rtable 0.361 at 5% significant level with N that was 46, so robserved was higher than rtable (0.694>0.361).  The result of linear regression coefficient showed that the probability score or the significance score 0.000 was lower than 0.05 (0.000<0.05).  Based on the determination coefficient, it was obtained the score 0.482 or 48.2% and it was rounded up to 48%.  It meant that the contribution of educator professionality variable to education quality variable at State Islamic Senior High School 1 Pekanbaru was 48%, and the rest was influenced by other variables that were not explained in this research.  So, the professional educators could increase the quality of education.
ANALISIS KINERJA PEMUNGUTAN DAN RETRIBUSI PAJAK REKLAME TERHADAP PENDAPATAN ASLI DAERAH KOTA BATAM
Authors: Harahap Baru , Effendi Syahril
Published: August 2020

This study aims to find answers to the level of advertisement tax collection performance in the city of Batam, and its contribution to local tax revenue. This research applies a descriptive analysis method, The object of this study is Batam City. The sampling technique used is non-probability sampling, that is the technique of determining the sample using certain considerations or by using financial statements from 2015 to 2019. The results of hypothesis testing using multiple regression analysis methods show that the performance of the collection and retribution of advertisement tax levies on Batam City Dispenda has a significant effect on the local revenue. While partially the performance of collection on the Batam City Dispenda has a significant relationship to the original revenue of the region, however, advertisement tax levies have a significant effect on the region's original revenue on the Batam City.
Human Movement Representation on Multivariate Time Series for Recognition of Professional Gestures and Forecasting Their Trajectories
Authors: Manitsaris Sotiris , Senteri Gavriela , Makrygiannis Dimitrios , Glushkova Alina
Published: August 2020

Human-centered artificial intelligence is increasingly deployed in professional workplaces in Industry 4.0 to address various challenges related to the collaboration between the operators and the machines, the augmentation of their capabilities, or the improvement of the quality of their work and life in general. Intelligent systems and autonomous machines need to continuously recognize and follow the professional actions and gestures of the operators in order to collaborate with them and anticipate their trajectories for avoiding potential collisions and accidents. Nevertheless, the recognition of patterns of professional gestures is a very challenging task for both research and the industry. There are various types of human movements that the intelligent systems need to perceive, for example, gestural commands to machines and professional actions with or without the use of tools. Moreover, theinterclass andintraclass spatiotemporal variances together with the very limited access to annotated human motion data constitute a major research challenge. In this paper, we introduce the Gesture Operational Model, which describes how gestures are performed based on assumptions that focus on the dynamic association of body entities, their synergies, and their serial and non-serial mediations, as well as their transitioning over time from one state to another. Then, the assumptions of the Gesture Operational Model are translated into a simultaneous equation system for each body entity through State-Space modeling. The coefficients of the equation are computed using the Maximum Likelihood Estimation method. The simulation of the model generates a confidence-bounding box for every entity that describes the tolerance of its spatial variance over time. The contribution of our approach is demonstrated for both recognizing gestures and forecasting human motion trajectories. In recognition, it is combined with continuous Hidden Markov Models to boost the recognition accuracy when the likelihoods are not confident. In forecasting, a motion trajectory can be estimated by taking as minimum input two observations only. The performance of the algorithm has been evaluated using four industrial datasets that contain gestures and actions from a TV assembly line, the glassblowing industry, the gestural commands to Automated Guided Vehicles as well as the Human–Robot Collaboration in the automotive assembly lines. The hybrid approach State-Space and HMMs outperforms standard continuous HMMs and a 3DCNN-based end-to-end deep architecture.
Identification of Fixed-Wing Micro Aerial Vehicle Aerodynamic Derivatives from Dynamic Water Tunnel Tests
Authors: Sibilski Krzysztof , Nowakowski Mirosław , Rykaczewski Dariusz , Szczepaniak Paweł , Żyluk Andrzej , Sibilska-Mroziewicz Anna , Garbowski Michał , Wróblewski Wiesław
Published: August 2020

A micro air vehicle (MAV) is a class of miniature unmanned aerial vehicles that has a size restriction and may be autonomous. Fixed-wing MAVs are very attractive for outdoor surveillance missions since they generally offer better payload and endurance capabilities than rotorcraft or flapping-wing vehicles of equal size. This research paper describes the methodology applying indicial function theory and artificial neural networks for identification of aerodynamic derivatives for fixed-wing MAV. The formulation herein proposed extends well- known aerodynamic theories, which are limited to thin aerofoils in incompressible flow, to strake wing planforms. Using results from dynamic water tunnel tests and indicial functions approach allowed to identify MAV aerodynamic derivatives. The experiments were conducted in a water tunnel in the course of dynamic tests of periodic oscillatory motion. The tests program range was set at high angles of attack and a wide scope of reduced frequencies of angular movements. Due to a built-in propeller, the model’s structure test program was repeated for a turned-on propelled drive system. As a result of these studies, unsteady aerodynamics characteristics and aerodynamic derivatives of the micro-aircraft were identified as functions of state parameters. At the Warsaw University of Technology and the Air Force Institute of Technology, a “Bee” fixed wings micro aerial vehicle with an innovative strake-wing outline and a propeller placed in the wing gap was worked. This article is devoted to the problems of identification of aerodynamic derivatives of this micro-aircraft. The result of this research was the identification of the aerodynamic derivatives of the fixed wing MAV “Bee” as non-linear functions of the angle of attack, and reduced frequency. The identification was carried out using the indicial function approach.
Risk Management Strategies to Cope Catastrophic Risks in Agriculture: The Case of Contract Farming, Diversification and Precautionary Savings
Authors: Adnan K M Mehedi , Ying Liu , Ayoub Zeraibi , Sarker Swati Anindita , Menhas Rashid , Chen Feiyu , Yu Man (Mark)
Published: August 2020

Risk management is an essential way for farmers to reduce uncertainty. In this research, a stratified random sampling method was used to survey 350 maize farmers in four different agro-ecological regions in Bangladesh. Using the multivariate probit model, this study explored the possible correlation between farmers’ perceptions of catastrophic risks and their attitudes towards risk sources—as well as the possible correlation between contract farming, diversification and precautionary savings as risk management strategies. The results confirm the relevance of risk management adoption decisions and reveal that the use of one risk management tool may simultaneously influence the use of another risk management tool. In addition, the research results also show that age, education level, extension experience, monthly household income, farming areas, land ownership and risk aversion nature are the most important factors that affect the adoption of risk management strategies. The research results provide further explanation and information and provide a platform for decision-makers to predict appropriate risk management strategies.
Evaluation of Pigments, Phenolic and Volatile Compounds, and Antioxidant Activity of a Spontaneous Population of Portulaca oleracea L. Grown in Tunisia
Authors: Dabbou Samia , Lahbib Karima , Pandino Gaetano , Dabbou Sihem , Lombardo Sara
Published: August 2020

Portulaca oleracea L., commonly known as purslane, is a weed with worldwide distribution and considerable medicinal uses due to its high levels of phytochemical compounds. However, until now, few studies have been conducted on the biochemical characterization of P. oleracea grown in Tunisia, a possible area of its origin as other North African countries. Therefore, the aim of the present study was to determine the phytochemical composition and antioxidant potential of leaves and stems from a Tunisian spontaneous population of purslane. Particularly, samples were analyzed for their proximate composition, pigments, and volatiles, whereas ethanolic and aqueous extracts were evaluated for their composition in phenolic compounds and in vitro antioxidant activities. Stems showed higher content of moisture (89.9%) and anthocyanins (4.61 µg g−1 dry matter, DM), whereas leaves revealed higher chlorophyll concentrations (7.42 mg g−1 DM). Significantly higher levels of phenolic compounds and antioxidant capacities (p < 0.05) were obtained in ethanolic extracts, compared with water extracts, irrespective of the analyzed plant part. A high antioxidant activity of stems was obtained, especially when extracted with ethanol. Headspace gas chromatography-mass spectrometry (GC-MS) analyses revealed six volatile classes with monoterpene hydrocarbons, oxygenated monoterpenes, and non-terpene derivatives as the highly represented compounds. Limonene (17.3–32.2%), carvone (38–46%), 2,6-dimethylcyclohexanol (2.2–6.4%), and nonanal (3.4–3.8%) were the most abundant volatiles. Based on the results of the present study, Tunisian purslane should deserve major consideration as an edible vegetable due to its richness in phytochemical compounds and, hence, for its potential health effects.
Neighborhood Singular Value Decomposition Filter and Application in Adaptive Beamforming for Coherent Plane-Wave Compounding
Authors: Feng Shuai , Wang Yadan , Zheng Chichao , Han Zhihui , Peng Hu
Published: August 2020

Coherent plane-wave compounding (CPWC) is widely used in medical ultrasound imaging, in which plane-waves tilted at multiple angles are used to reconstruct ultrasound images. CPWC helps to achieve a balance between frame rate and image quality. However, the image quality of CPWC is limited due to sidelobes and noise interferences. Filtering techniques and adaptive beamforming methods are commonly used to suppress noise and sidelobes. Here, we propose a neighborhood singular value decomposition (NSVD) filter to obtain high-quality images in CPWC. The NSVD filter is applied to adaptive beamforming by combining with adaptive weighting factors. The NSVD filter is advantageous because of its singular value decomposition (SVD) and smoothing filters, performing the SVD processing in neighboring regions while using a sliding rectangular window to filter the entire imaging region. We also tested the application of NSVD in adaptive beamforming. The NSVD filter was combined with short-lag spatial coherence (SLSC), coherence factor (CF), and generalized coherence factor (GCF) to enhance performances of adaptive beamforming methods. The proposed methods were evaluated using simulated and experimental datasets. We found that NSVD can suppress noise and achieve improved contrast (contrast ratio (CR), contrast-to-noise ratio (CNR) and generalized CNR (gCNR)) compared to CPWC. When the NSVD filter is used, adaptive weighting methods provide higher CR, CNR, gCNR and speckle signal-to-noise ratio (sSNR), indicating that NSVD is able to improve the imaging performance of adaptive beamforming in noise suppression and speckle pattern preservation.
Wavelength-Tuning Common-Path Digital Holographic Microscopy for Quantitative Phase Imaging of Functional Micro-Optics Components
Authors: Liu Bingcai , Wang Dasen , Zhu Xueliang , Wang Hongjun , Tian Ailing , Liu Weiguo
Published: August 2020

This study proposes a novel wavelength-tuning common-path digital holographic microscopy technique for quantitative phase imaging of functional micro-optics components. The proposed technique is immune to vibration and can reduce system error. In the proposed configuration, a parallel glass plate was inserted into the light path to create two identical test beams, which passed through a specially designed window filter. In this process, one beam serves as the object beam, while the other is diffracted to produce an ideal spherical wave front (the reference beam). A wavelength tunable laser was used as the light source to generate phase-shifting digital holograms. Structural information for the functional micro-optics components was then extracted using a classical four-step phase-shift algorithm. The viability of the proposed technique was assessed by measuring a micro-optics array.
Human Attribute Recognition— A Comprehensive Survey
Authors: Yaghoubi Ehsan , Khezeli Farhad , Borza Diana , Kumar SV Aruna , Neves João , Proença Hugo
Published: August 2020

Human Attribute Recognition (HAR) is a highly active research field in computer vision and pattern recognition domains with various applications such as surveillance or fashion. Several approaches have been proposed to tackle the particular challenges in HAR. However, these approaches have dramatically changed over the last decade, mainly due to the improvements brought by deep learning solutions. To provide insights for future algorithm design and dataset collections, in this survey, (1) we provide an in-depth analysis of existing HAR techniques, concerning the advances proposed to address the HAR’s main challenges; (2) we provide a comprehensive discussion over the publicly available datasets for the development and evaluation of novel HAR approaches; (3) we outline the applications and typical evaluation metrics used in the HAR context.
One-Part Alkali-Activated Pastes and Mortars Prepared with Metakaolin and Biomass Ash
Authors: Mobili Alessandra , Tittarelli Francesca , Rahier Hubert
Published: August 2020

Common alkali-activated materials (AAMs) are usually manufactured with highly alkaline solutions. However, alkaline solutions are dangerous for workers who must wear gloves, masks, and glasses when handling them. This issue makes common (or two-part) AAMs not user-friendly and problematic for bulk production if no safety procedures are followed. In this paper, the possibility of manufacturing alkali-activated pastes and mortars without alkaline solution is investigated. These innovative one-part AAMs have been prepared with metakaolin as the aluminosilicate precursor, potassium-rich biomass ash as the alkaline activator, and water. AAMs have been prepared by varying the K/Al molar ratio: pastes have been studied in terms of reaction kinetics, through isothermal calorimetry, and mortars have been tested in terms of mechanical compressive strength. Results show that the K/Al molar ratio governs both the reaction kinetics and the mechanical strength of these innovative materials. The highest compressive strength is obtained when the K/Al ratio is equal to 2.5 and the water/solid ratio is equal to 0.49. If biomass ash is heated at 700 °C to decompose the calcium carbonate, its reactivity and the final compressive strength increase.