7 research outputs found

    THE POTENTIAL OF LOCAL BUSINESS INVOLVEMENT AS A DETERMINANT OF SOCIAL ENTREPRENEURSHIP DEVELOPMENT IN THE PROCESS OF VETERANS' REINTEGRATION

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    The purpose of the article is to propose an approach to analysing the potential of involving local business as a determinant of social entrepreneurship development in the process of reintegration of veterans. Methodology. The survey is based on the results of an online questionnaire on the current state and needs of business in Chernihiv Oblast in the post-occupation period. The questionnaire contained questions in which respondents could describe business needs, expected support from local governments, and identify favourable and unfavourable factors for the development of the business environment at the regional level. The second part of the empirical research included personal in-depth expert interviews with key informants from business, local government, NGOs and donor initiatives to study the recovery needs of key micro-, small- and medium-sized business sectors in the de-occupied cities of Chernihiv Oblast. The survey results revealed the needs of businesses in the post-occupation period. Despite the fact that the surveyed entrepreneurs note a decrease in income, they are still optimistic about doing business in Chernihiv in the near future. According to the survey, the main factors hindering business development in Chernihiv Oblast are: low solvency of buyers; insufficient financial resources; bureaucratic obstacles; and changes in market conditions. The factors that hinder the development of Chernihiv Oblast are identified: unfavourable conditions for the development of entrepreneurship in the region; lack of external investment in the region; political situation at the local level; unemployment in the region; insufficient level of public initiative and activity of residents. Based on the results of in-depth interviews, it is possible to assess the potential of local businesses in the context of their involvement in the development of social entrepreneurship with a focus on veteran businesses. Despite all the difficulties and problems, the trend towards business recovery in the de-occupation period is positive, based on the desire of entrepreneurs to work in the Chernihiv Oblast. The city has active and influential NGOs that are ready to act in the interests of the community. Currently, donor initiatives in the region are just beginning. Practical implications. Based on a study of the reintegration needs and problems of servicemen, veterans and their family members in starting their own business and an analysis of the local business environment, recommendations are made on the role of business in the development of social entrepreneurship of veterans as a tool for their reintegration. Value/originality. The research demonstrates an approach to determining the potential of business in its involvement in the development of social entrepreneurship as a tool for reintegrating veterans at the local level

    Response Times Parametric Estimation of Real-Time Systems

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    21 pages, 6 figures, 2 tablesReal-time systems are a set of programs, a scheduling policy and a system architecture, constrained by timing requirements. Most of daily embedded devices are real-time systems, e.g. airplanes, cars, trains, spatial probes, etc. The time required by a program for its end-to-end execution is called its response time. Usually, upper-bounds of response times are computed in order to provide safe deadline miss probabilities. In this paper, we propose a suited re-parametrization of the inverse Gaussian mixture distribution adapted to response times of real-time systems and the estimation of deadline miss probabilities. The parameters and their associated deadline miss probabilities are estimated with an adapted Expectation-Maximization algorithm

    Endometriosis detection on ultrasound videos

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    International audienceEndometriosis is a chronic condition where tissue similar to the uterine lining grows outside the uterus, affecting up to 10% of reproductive-aged women. It causes severe pain during periods, sexual intercourse, and other activities, and its diagnosis typically requires invasive methods like laparoscopy and biopsy. Our project aims to develop a model using YOLO v8n to detect endometriosis lesions on the rectum via ultrasound, assisting medical professionals in identifying the condition. The model is trained on 17 ultrasound videos, utilizing cross-validation, data augmentation, and key performance metrics such as precision and recall for classification, and mAP for object detection

    Endometriosis detection on ultrasound videos

    No full text
    International audienceEndometriosis is a chronic condition where tissue similar to the uterine lining grows outside the uterus, affecting up to 10% of reproductive-aged women. It causes severe pain during periods, sexual intercourse, and other activities, and its diagnosis typically requires invasive methods like laparoscopy and biopsy. Our project aims to develop a model using YOLO v8n to detect endometriosis lesions on the rectum via ultrasound, assisting medical professionals in identifying the condition. The model is trained on 17 ultrasound videos, utilizing cross-validation, data augmentation, and key performance metrics such as precision and recall for classification, and mAP for object detection

    Endometriosis detection on ultrasound videos

    No full text
    International audienceEndometriosis is a chronic condition where tissue similar to the uterine lining grows outside the uterus, affecting up to 10% of reproductive-aged women. It causes severe pain during periods, sexual intercourse, and other activities, and its diagnosis typically requires invasive methods like laparoscopy and biopsy. Our project aims to develop a model using YOLO v8n to detect endometriosis lesions on the rectum via ultrasound, assisting medical professionals in identifying the condition. The model is trained on 17 ultrasound videos, utilizing cross-validation, data augmentation, and key performance metrics such as precision and recall for classification, and mAP for object detection

    Impact of the COVID-19 pandemic on academic, social, emotional, and behavioral changes in university students

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    During the early COVID-19 pandemic, the educational system suffered significant setbacks. Because face-to-face communication opportunities were limited, a modern approach through a distance system was adopted. Most studies have examined the impact of pandemics on the activities and lives of workers, few scholars observe how students cope with the changes. The purpose of this study is to understand the impact of pandemics on higher education students by considering academic, social, emotional, and behavioral changes. More than 10 questions were used in this paper to represent four categories related to students' lives. The study included 1,227 students from five continents: Asia, Europe, America, Africa, and Oceania. The study showed that students have no difficulty learning the available technology to help them with their studies. In addition, they are socially active in different networks, maintain positive emotions and personal hygiene. demonstrating an understanding of the pandemic situation and concern for public safety. The data showed that the shift to online learning did not affect students' attitudes toward education in general. Although the use of social media has increased, students' communication habits have remained unchanged
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