HuDA_COVID Human Disposition Analysis during COVID-19 using Machine Learning

Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.

HuDA_COVID Human Disposition Analysis During COVID-19 Using Machine Learning

Coronavirus has greatly impacted various aspects of human life, including human psychology & human disposition. In this paper, we attempted to analyze the impact of the COVID-19 pandemic on human health. We propose Human Disposition Analysis during COVID-19 using machine learning (HuDA_COVID), where factors such as age, employment, addiction, stress level are studied for human disposition analysis. A mass survey is conducted on individuals of various age groups, regions & professions, and the methodology achieved varied accuracy ranges of 87.5% to 98%. The study shows people are worried about lockdown, work & relationships. Furthermore, 23% of the respondents have not had any effect. 45% and 32% have had positive and negative effects, respectively. It is a novel study in human disposition analysis in COVID-19 where a novel weighted assignment indicating the health status is also proposed. HuDA_COVID clearly indicates a need for a methodical approach towards the human psychological needs to help the social organizations formulating holistic interventions for affected individuals.

Modernity and Decision-Making for Global Challenges

There are competing views on modernity. Some focus on the isolation of the individual, bereft of traditions and rituals, while others optimistically espouse the power of globalization, technology, and science to support progress and enhance human life. The challenges created by emerging diseases and human environmental impacts allow a new appreciation of the power of coordinated human responses while highlighting the limitations of globalization, technology, and science. Both climate change and the COVID-19 pandemic demonstrate that science and technology provide rapidly updated information, but immediate solutions reside in aggregate changes in personal behavior supported by regulation and governmental or trans-governmental agencies. These requirements for personal responsibility challenge individual powerlessness and highlight the necessity of communal responses to global challenges.

A Face Recognition Method in the Internet of Things for Security in Smart Recognition Places

In recent years, the safety constitutes the foremost necessary section of the human life. At this point, the price is that the greatest issue. This technique is incredibly helpful for reducing the price of watching the movement from outside. During this paper, a period of time recognition system is planned which will equip for handling pictures terribly quickly. The most objective of this paper is to safeguard home, workplace by recognizing individuals. The face is that the foremost distinctivea part of human’s body. So, it will replicate several emotions of associate degree Expression. A few years past, humans were mistreatment the non-living things like good cards, plastic cards, PINS, tokens and keys for authentication, and to urge grant access in restricted areas like ISRO, National Aeronautics and Space Administration and DRDO. The most necessary options of the face image are Eyes, Nose and mouth. Face detection and recognition system is simpler, cheaper, a lot of accurate, process. The system under two categories one is face detection and face recognition. Throughout this case, among the paper, the Raspberry Pi single-board computer is also a heart of the embedded face recognition system. Keywords: Raspberry Pi, Face recognition system

TRANSFORMATION OF ECONOMIC PROCESSES ON THE BASIS OF DIGITALISATION

The main task of our study is to justify the primary directions of transformation of economic processes on the basis of digitalisation. Nowadays, the digitalisation of the economy in the global economic environment is considered a priority model of global innovation development. Institutional factors are particularly important in the conditions of transformation of economic processes on the basis of digitalisation. They form the fundamental parameters of the long-term functioning of economic systems. It is determined that the role of institutional factors in ensuring economic development is multifaceted as they affect its duration and quality. These factors can be divided into formal and informal. We have systematised the influence of formal and informal institutional factors on the transformation of economic processes. It is found that the inability of the Ukrainian institutional system to ensure effective economic development demonstrates the institutional traps. Negative manifestations of this system hinder the positive directions for the transformation of economic processes, modernisation of the economy, and competitiveness. It is justified that the transformation of management economic processes should be based on the implementation of the proposed system of principles, the use of which will identify and solve a set of problems of social development of the region, which meets the challenges of our time. To create an effective system of interaction between corporate and regional participants, it is necessary to link their goals, to harmonise them with the goals of socio-economic development of the region. This is where digitalisation can help. It is determined that in modern conditions, the problems of the digital sector affect the competitiveness of the economy, as the lag in obtaining and processing relevant data, the inability to use digital resources are accompanied by the loss of former market positions. From the standpoint of the theory of asymmetry of international trade, the digital dependence of one country on another leads to an increase in the gap in economic development between these countries. The rapid development of information and computer technologies and the active Internet penetration into all spheres of human life have led to the transformation of economic processes according to the level of digitalisation. The development and dissemination of key technologies underlying the digital economy have a decisive impact on the transformation of globalisation: they directly affect the production of goods and services, human resources, investment in human and physical capital, foreign direct investment, international technology transfer, industrial innovation. In essence, all this directly affects the efficiency of production, performance, competitiveness, and economic growth – from individual market participants to countries, regions, and the world economy as a whole.

Negotiation skills “Between experience and capabilities”

The study aimed to investigate the negotiation skills which can contribute to bridging the gap between different points of view and reflecting the spirit of understanding. Collected from scientific sources and references, the data were systemically interpreted. The study consisted of three sections: the concept of negotiation, negotiation skills, types of negotiators and the most important factors that can affect the negotiation process. The study reached the following findings: 1. Negotiation is an inherent process in human life as long as man lives with others and enters into different, changing and continuous life relationships. 2. Negotiators are expected to have the skills, experience and capabilities that enable them to set up a strategy for planning and negotiation with integration in performance. The study came up with the following recommendations: 1. People working in the field of negotiations should be provided with the required training and qualifications. 2. Identifying the objectives of negotiations is required to set up a successful strategy for the negotiation process.

المباحث الإيمانية في سورة الأعلى

This research deals with the names of surat Al-A'ala, number of ayas (verses), place and order of the sura its and the context in relation to other suras. This sura was frequently recited by the prophet for reasons having to do with its inclusion of profound meanings in extolling the creator, and what He bestowed upon humans and especially upon his prophet in matters to do with the revelation of the Quran and the sharia (Islamic jurisprudence). In addition the sura contains most of heart-taking facts; varying conditions of people and human life, the hereafter and accompanying rewards and punishments with underlying assertions that life after death is the real life. The sura also stresses that humanity can only be well guided if the values laid down by the Quran are followed, and that the mission of the prophet of Islam is actually a continuation of that of Ibrahaim and Moses, peace be upon them.

THE IMPACT OF PEOPLE MANAGEMENT TRANSFORMATION ON ECONOMIC DEVELOPMENT

For several years, the concept of sustainable development appears the philosophy of many scientific studies. This concept came from the field of forestry. It means that forest management cut down only as many trees as they can grow in this place. That way, the forest is never liquidated and can always rebuild itself. There are many definitions of sustainability. Perhaps the best comes from the 1987 report "Our Common Future" of the UN World Commission on Environment and Development, where "sustainable development is the development that meets the needs of the present without compromising the ability of future generations to meet their own needs." That implies a challenge to developing all areas of human life without harming any of them. One of the areas with significant impact is the activity of organizations that affects the development and stability of the economy. Also, in studies on organization and management, the sustainable development concept is increasingly common. Progress in the application of the sciences of organization and management undoubtedly has a positive impact on the activities of organizations, which leads to economic development and changes in the quality of life. This paper intends to bring closer the meaning of the evolution of people management in today's state of development and to determine trends in future organizations management. The content of this paper does not exhaust the discussed issues but may contribute to further discussion and activities in the field of sustainable development.

Quality analysis for reliable complex multiclass neuroscience signal classification via electroencephalography

PurposeThe aim of this paper is to explore the brain–computer interface (BCI) as a methodology for generating awareness and increasing reliable use cases of the same so that an individual's quality of life can be enhanced via neuroscience and neural networks, and risk evaluation of certain experiments of BCI can be conducted in a proactive manner.Design/methodology/approachThis paper puts forward an efficient approach for an existing BCI device, which can enhance the performance of an electroencephalography (EEG) signal classifier in a composite multiclass problem and investigates the effects of sampling rate on feature extraction and multiple channels on the accuracy of a complex multiclass EEG signal. A one-dimensional convolutional neural network architecture is used to further classify and improve the quality of the EEG signals, and other algorithms are applied to test their variability. The paper further also dwells upon the combination of internet of things multimedia technology to be integrated with a customized design BCI network based on a conventionally used system known as the message query telemetry transport.FindingsAt the end of our implementation stage, 98% accuracy was achieved in a binary classification problem of classifying digit and non-digit stimuli, and 36% accuracy was observed in the classification of signals resulting from stimuli of digits 0 to 9.Originality/valueBCI, also known as the neural-control interface, is a device that helps a user reliably interact with a computer using only his/her brain activity, which is measured usually via EEG. An EEG machine is a quality device used for observing the neural activity and electric signals generated in certain parts of the human brain, which in turn can help us in studying the different core components of the human brain and how it functions to improve the quality of human life in general.

Using InVEST to evaluate water yield services in Shangri-La, Northwestern Yunnan, China

Water yield is an ecosystem service that is vital to not only human life, but also sustainable development of the social economy and ecosystem. This study used annual average precipitation, potential evapotranspiration, plant available water content, soil depth, biophysical parameters, Zhang parameter, and land use/land cover (LULC) as input data for the Integrated Valuation of Ecosystem Service Tradeoffs (InVEST) model to estimate the water yield of Shangri-La City from 1974 to 2015. The spatiotemporal variations and associated factors (precipitation, evapotranspiration, LULC, and topographic factors) in water yield ecosystem services were then analyzed. The result showed that: (1) The water yield of Shangri-La City decreases from north and south to the center and showed a temporal trend from 1974 to 2015 of an initial decrease followed by an increase. Areas of higher average water yield were mainly in Hutiaoxia Town, Jinjiang Town, and Shangjiang Township. (2) Areas of importance for water yield in the study area which need to be assigned priority protection were mainly concentrated in the west of Jiantang Town, in central Xiaozhongdian Town, in central Gezan Township, in northwestern Dongwang Township, and in Hutiaoxia Town. (3) Water yield was affected by precipitation, evapotranspiration, vegetation type, and topographic factors. Water yield was positively and negatively correlated with precipitation and potential evapotranspiration, respectively. The average water yield of shrubs exceeded that of meadows and forests. Terrain factors indirectly affected the ecosystem service functions of water yield by affecting precipitation and vegetation types. The model used in this study can provide references for relevant research in similar climatic conditions.