Methods for diagnostics of bankruptcy of agricultural enterprises

Modern science pays a lot of attention to solving issues of the company's functioning under the influence of crisis phenomena and processes. Nevertheless, the conditions of modern development associated with high risk, sudden transformations, crises and shocks, the main task is set by the study of the latest elements of company diagnostics. Based on this, diagnostics of the company's crisis state is a fundamental component of the successful development of agricultural companies. It is considered as one of the areas of economic diagnostics and is closely related to the diagnostics of the threat of bankruptcy. It is also important to note that the main component of diagnosing the level of effectiveness of antisipative management of enterprises with an agricultural direction is the definition of a system of criteria for identifying specific causes leading to a crisis situation and a failure in agricultural activity, which has a very important scientific, practical and methodological significance for economic science.The main purpose of the article is to study the problem of bankruptcy diagnosis at domestic enterprises, substantiation of theoretical provisions and development of practical recommendations for improving the diagnosis of antisipative management of enterprises in the system of management diagnostics. The article identifies the main tasks facing enterprises seeking to prevent and prevent the onset of crisis situations, analyzes the stages of diagnosis and considers the main models for predicting the bankruptcy of the enterprise. It was found that the models show real results only in the conditions for which they were created. That is, it is necessary to develop a model in which the assessment of the financial condition of agricultural enterprises would be based on domestic accounting and reporting standards, which would use the statistical, information base of domestic enterprises taking into account the specifics of the industry.

Current uses, emerging applications, and clinical integration of artificial intelligence in neuroradiology

Artificial intelligence (AI) is a branch of computer science with a variety of subfields and techniques, exploited to serve as a deductive tool that performs tasks originally requiring human cognition. AI tools and its subdomains are being incorporated into healthcare delivery for the improvement of medical data interpretation encompassing clinical management, diagnostics, and prognostic outcomes. In the field of neuroradiology, AI manifested through deep machine learning and connected neural networks (CNNs) has demonstrated incredible accuracy in identifying pathology and aiding in diagnosis and prognostication in several areas of neurology and neurosurgery. In this literature review, we survey the available clinical data highlighting the utilization of AI in the field of neuroradiology across multiple neurological and neurosurgical subspecialties. In addition, we discuss the emerging role of AI in neuroradiology, its strengths and limitations, as well as future needs in strengthening its role in clinical practice. Our review evaluated data across several subspecialties of neurology and neurosurgery including vascular neurology, spinal pathology, traumatic brain injury (TBI), neuro-oncology, multiple sclerosis, Alzheimer’s disease, and epilepsy. AI has established a strong presence within the realm of neuroradiology as a successful and largely supportive technology aiding in the interpretation, diagnosis, and even prognostication of various pathologies. More research is warranted to establish its full scientific validity and determine its maximum potential to aid in optimizing and providing the most accurate imaging interpretation.

THE ROLE OF FINANCIAL DIAGNOSTICS IN THE ENTERPRISE ACTIVITY

Introduction. One of the most important conditions for ensuring the proper functioning and development of the entire sphere of entrepreneurship is the economic security of enterprises, and an important part of this process is the diagnosis of the financial condition of economic entities. Diagnosis is the main tool that allows you to objectively assess the internal and external parameters of the enterprise, to investigate economic processes in their relationship. The use of an effective mechanism of financial activity allows at an early stage to detect violations of proportions in the phases of the cycle of capital circulation in the enterprise and to establish the reasons that caused them. Methods. During the preparation of the article, a systematic approach to the study was used, which allowed to assess the state of implementation of financial diagnostics in the domestic business practice; the method of theoretical comparison for improvement of legislative regulation and directions of procedures of financial activity; the method of expert assessments - in the development of organizational provisions for the implementation of the mechanism of financial diagnostics in Ukraine. Results. The article identifies the importance of diagnosing the financial condition of the enterprise, considers the nature and necessity of a systematic analysis of the financial condition of the enterprise. The essence of the concept "diagnostics", "financial condition" is considered in the proposed article. Peculiarities of effective management of the financial condition of the enterprise in the conditions of market economy of Ukraine and the role of economic diagnostics in the activity of the enterprise are determined. Discussion. Further research on the development of financial activities will be to substantiate the implementation of modern areas of assessment of the financial condition of economic entities, especially within the introduction of digital technologies. Keywords: enterprise, financial condition, financial activity, management, diagnostics, estimation, competitiveness, liquidity, solvency.

FRAME ANALYSIS OF THE NOTION «CONTROL» IN GERMAN FOREIGN LANGUAGE TEACHING DISCOURSE

The article discusses the terminological competence of students in foreign language teaching. Terminological competence means knowledge of terms of the subject area and ability to apply them in professional activity according to the set tasks. A frame analysis of terms is proposed as one of the methods that contribute to faster and better formation of terminology competence. Frame analysis includes the compilation of a frame and a detailed description of its slots. There is an example of a frame analysis of the concept of «control» in German in foreign language teaching discourse. As a result of the analysis of this discourse, a two-level frame was compiled, whose slots of the first order are «management», «diagnostics», «examination», «teaching». Second-order slots include «teacher» and «student» slots that relate to the first-level slot «management». It is concluded that slots of the frame set projection to functions of control in foreign language teaching discourse. Frame analysis is seen as a method to reveal the semantic potential of terms and to better understand their correlation in the term system.

METHODOLOGICAL BASIS OF DIAGNOSTICS OF THE ENERGY SECTOR ENVIRONMENTALIZATION MANAGEMENT

Topicality. The issue of the environmentalization management diagnostics in the energy sector becomes increasingly topical due to the necessity to define the achievement or vice versa - leveling the management goal which is the reorientation of the energy sector in conformity to the new environmentally oriented goals conditioned by the internal environmental issues, international demands and national interests of the country. Environmentalization of the energy sector became very topical both from the point of view of the national interests in connection with the existing challenges in front of the country, environmental condition, vectors of the ecological strategic development and socio-economic interests. The man-caused load on the environment results in different types of the social, ecological, economic damage, reduction of the enterprises’ efficiency and potential of their competitiveness under the conditions of the world environmentally oriented challenges. Environmentalization management diagnostics in the energy sector is the possibility to see the condition of the environmental transformation process and improvement of the energy sector which will show the results of adopted management steps or determine their weaknesses for further adaptation of the management process to the existing challenges and searching for the methods of satisfaction of the social, ecological, economic interests of the country which defined the topicality of this research. Aim and tasks. The article is aimed at grounding the methodological approach to the environmentalization management diagnostics in the energy sector. Research results. Methodological approach to the environmentalization management diagnostics in the energy sector is based on the concept of the management process formalization, mainly, on the accentuation of the tough interaction of the management subjects involved in the achievement of the goal of the national interests satisfaction with regard to the environmentalization of the energy sector, management objects adapted to the management decisions passed and the related institutional ground necessary to achieve the management goals. Conclusion. The environmentalization management diagnostics in the energy sector shall reflect the interaction between the separate parts of the management process: Coherence of economic and environmental politics concerning the environmentalization of the energy sector with management of the processes of technical and technological insurance, coherence of the social, ecological, economic processes and coherence of the activity of management subjects of the lower level with the management goals of the higher. Such unified interaction shall result in the synergistic effect of national interests achievement in the environmentalization of the energy sector at different management levels: local, regional, national

A Tool for Automation of Knowledge Management Diagnostics in Software Development Companies

Knowledge Management (KM) is responsible for using the intellectual resources of an organization. KM principles are both determining and effective factors for the software product quality. Several KM process have been proposed in the literature. However, for a KM initiative to be successful, it is important to consider the current state of KM activities in a company. In this context, the objective of this work is to measure KM activities in software engineering companies by means of a tool that automates the process of KM diagnosis. This paper presents the Software Engineering KNOWledge management diagnosis (SEKNOW) tool, its main functionalities, the potential users profile and examples of use. In addition, we show how the architecture was implemented in order to make the tool extensible to multiple diagnostics and how the companies can employ the tool to fetch data to their systems. Finally, we present similar tools and compare their functionalities.

Current and planned research for managing the fruit fly threat to New Zealand

Fruit flies (Family Tephritidae), in particular the Queensland fruit fly (Bactrocera tryoni; QFF), areone of the biggest biosecurity risks for New Zealand horticulture. New Zealand has one of the bestscience-based biosecurity systems in the world, based on years of experience and sound research. Theintroduction of fruit flies to New Zealand is now well managed in commercial fruit imports, but the riskis rising from growing trade and travel and, in the case of QFF, climatic adaptation and spread to moresouthern localities. Smarter solutions are continually needed to manage this increasing risk, and to dealwith such pests when they arrive. We present a brief summary of current and anticipated research aimedat reducing the likelihood of entry into New Zealand and/or minimising the impact for the fruit flyspecies of greatest threat to New Zealand. Research spans risk assessment, pathway risk management,diagnostics, surveillance and eradication.