Driving cycle tracking device big data storing and management

<span>Driving cycle is commonly known as a series of speed-time profile. Research on this discipline aids vehicle manufacturing industries in vehicle manufacturing, environmentalists to study on environment quality and profile in accordance to vehicle emissions besides traffic engineers to further investigate the behavior of drivers and the conditions of roads in a certain area or cluster. This also assists automotive industries to innovate energy efficient vehicles which reduce vehicle emissions and energy wastages which lead to air pollution in which a major threat for human health according to Goal 3 of united nations (UN) sustainable development goals (SDG). To construct an accurate driving cycle, data based on real-world driving behavior is crucial and as the world is advancing in technology, the usage of internet of things (IoT) plays an important role in innovatietcons. IoT is an idea of computing every day physical object and information into computers, devices and software. These devices work by using sensors that transmit data to a computer or software allowing them to perform important tasks as needed. In this research, an idea of data collecting device, driving cycle tracking device (DC-TRAD) is constructed with implementation of IoT in which the collected data will be saved into my structured query language (MySQL) database instantly for data storing.</span>

Expression of genes associated with fertility in the uterus and oviduct of heifers challenged with lipopolysaccharide

Summary Lipopolysaccharide (LPS) endotoxemia has been negatively associated with fertility. This study aimed to investigate the effect of LPS-induced inflammation on gene expression associated with bovine fertility in the uterus and oviduct. Sixteen healthy heifers were divided into two groups. The LPS group (n = 8) received two intravenous (i.v.) injections of 0.5 µg/kg of body weight of LPS with a 24-h interval, and the control group (n = 8) received two i.v. injections of saline solution with the same interval of time. All the animals had the follicular wave synchronized. Three days after the second injection of LPS, all animals were slaughtered and uterine and oviduct samples were collected. Gene expression associated with inflammatory response, thermal and oxidative stresses, oviduct environment quality, and uterine environment quality was evaluated. Body temperature and leucogram demonstrated that LPS induced an acute systemic inflammatory response. In the uterus, the expression of PTGS2 and NANOG genes was downregulated by the LPS challenge. However, no change in expression was observed in the other evaluated genes in the uterus, nor those evaluated in the oviduct. In conclusion, the inflammatory process triggered by LPS did not persist in the uterus and oviduct 3 days after challenge with LPS. Nonetheless, reduction in PTGS2 and NANOG expression in the uterus suggested that, indirectly, LPS may have a prolonged effect, which may affect corpus luteum and endometrial functions.

Remote-Sensing Evaluation and Temporal and Spatial Change Detection of Ecological Environment Quality in Coal-Mining Areas

The large-scale development and utilization of coal resources have brought great challenges to the ecological environment of coal-mining areas. Therefore, this paper has used scientific and effective methods to monitor and evaluate whether changes in ecological environment quality in coal-mining areas are helpful to alleviate the contradiction between human and nature and realize the sustainable development of such coal-mining areas. Firstly, in order to quantify the degree of coal dust pollution in coal-mining areas, an index-based coal dust index (ICDI) is proposed. Secondly, based on the pressure-state-response (PSR) framework, a new coal-mine ecological index (CMEI) was established by using the principal component analysis (PCA) method. Finally, the coal-mine ecological index (CMEI) was used to evaluate and detect the temporal and spatial changes of the ecological environment quality of the Ningwu Coalfield from 1987 to 2021. The research shows that ICDI has a strong ability to extract coal dust with an overall accuracy of over 96% and a Kappa coefficient of over 0.9. As a normalized difference index, ICDI can better quantify the pollution degree of coal dust. The effectiveness of CMEI was evaluated by four methods: sample image-based, classification-based, correlation-based, and distance-based. From 1987 to 2021, the ecological environment quality of Ningwu Coalfield was improved, and the mean of CMEI increased by 0.1189. The percentages of improvement and degradation of ecological environment quality were 71.85% and 27.01%, respectively. The areas with obvious degradation were mainly concentrated in coal-mining areas and built-up areas. The ecological environment quality of Pingshuo Coal Mine, Shuonan Coal Mine, Xuangang Coal Mine, and Lanxian Coal Mine also showed improvement. The results of Moran’s Index show that CMEI has a strong positive spatial correlation, and its spatial distribution is clustered rather than random. Coal-mining areas and built-up areas showed low–low clustering (LL), while other areas showed high–high clustering (HH). The utilization and popularization of CMEI provides an important reference for decision makers to formulate ecological protection policies and implement regional coordinated development strategies.

Investigating atmosphere’s environmental components and work environment of a household landfill’s platform

Household landfills can be important sources of air quality contamination if they do not comply with technological sorting and storage procedures. Also, workers' exposure to environmental hazards endangers their health over time. A significant amount of household waste is stored in cells, monthly, after a sorting process that leaves a considerable ecological footprint. In this study we analysed air quality at the boundary of a compliant household landfill, as well as the quality of work environment of landfill’s workers. To do this, we performed measurements on two levels (air quality and work environment) over three months, following different phases of waste disposal and different activities involving workers serving the facilities. From an applied perspective, results obtained from research activities provide clear answers to questions related to ways in which environmental components are affected by waste storage activities, and workers are exposed to professional noxious. Results show that the landfill deteriorates environment quality, over time, as well as health of workers. Topic relevance is in connection with its potential future contribution to development of knowledge in the approached field, to be able to quantify progress, once integrated systems for modern ecological collection and storage have legislative regulations.

Comparison of Machine Learning Analysis on Predictive Factors of Children’s Planning-Organizing Executive Function by Income Level: Through Home Environment Quality and Wealth Factors

Background and objective: This study identifies whether children's planning-organizing executive function can be significantly classified and predicted by home environment quality and wealth factors.Methods: For empirical analysis, we used the data collected from the 10th Panel Study on Korean Children in 2017. Using machine learning tools such as support vector machine (SVM) and random forest (RF), we evaluated the accuracy of the model in which home environment factors classify and predict children's planning-organizing executive functions, and extract the relative importance of variables that determine these executive functions by income group.Results: First, SVM analysis shows that home environment quality and wealth factors show high accuracy in classification and prediction in all three groups. Second, RF analysis shows that estate had the highest predictive power in the high-income group, followed by income, asset, learning, reinforcement, and emotional environment. In the middle-income group, emotional environment showed the highest score, followed by estate, asset, reinforcement, and income. In the low-income group, estate showed the highest score, followed by income, asset, learning, reinforcement, and emotional environment.Conclusion: This study confirmed that home environment quality and wealth factors are significant factors in predicting children’s planning-organizing executive functions.

Urban development and interethnic intolerance: Evidence from Russia

This work is devoted to the study of the impact of urban development on interethnic intolerance. Although studies on the impact of urbanization and the economic well-being of cities on interethnic intolerance have been conducted in other countries, no similar scientific work has been conducted in Russia. The purpose of this paper is to determine factors related to urban development that influence the level of interethnic intolerance in a Russian city and to clarify the nature of this influence. The assumption of the presence of such an influence is based on the fact that the comfort of the urban environment can play the role of an indicator of economic well-being, while the exacerbation of social conflicts during periods of economic instability is scientifically substantiated. This influence is studied using an econometric study on a sample of 66 Russian cities with a population of over 100 thousand people, where 2 or more crimes motivated by interethnic intolerance were committed during the period 2007–2019. The information base for the study was obtained from the website of the SOVA Center for Information and Analysis, the statistical databases of Rosstat and EMISS, and the official website of the urban environment quality index. Based on the results obtained, it is concluded that interethnic intolerance is reduced due to a comfortable urban environment. Also, according to the study, in more populated Russian cities the level of interethnic intolerance is higher, whereas the incomes of city residents reduce it.

Urban development and interethnic intolerance: Evidence from Russia

This work is devoted to the study of the impact of urban development on interethnic intolerance. Although studies on the impact of urbanization and the economic well-being of cities on interethnic intolerance have been conducted in other countries, no similar scientific work has been conducted in Russia. The purpose of this paper is to determine factors related to urban development that influence the level of interethnic intolerance in a Russian city and to clarify the nature of this influence. The assumption of the presence of such an influence is based on the fact that the comfort of the urban environment can play the role of an indicator of economic well-being, while the exacerbation of social conflicts during periods of economic instability is scientifically substantiated. This influence is studied using an econometric study on a sample of 66 Russian cities with a population of over 100 thousand people, where 2 or more crimes motivated by interethnic intolerance were committed during the period 2007–2019. The information base for the study was obtained from the website of the SOVA Center for Information and Analysis, the statistical databases of Rosstat and EMISS, and the official website of the urban environment quality index. Based on the results obtained, it is concluded that interethnic intolerance is reduced due to a comfortable urban environment. Also, according to the study, in more populated Russian cities the level of interethnic intolerance is higher, whereas the incomes of city residents reduce it.