Expert Analysis Research Articles

Construção de uma escala de avaliação do ambiente de trabalho na atenção primária à saúde

Abstract Objective To describe the stages of constructing a scale to evaluate the work environment in Primary Health Care. Method methodological study with five stages: establishment of the conceptual structure; construction of questions and response scale; structuring; content validity with experts and semantic analysis with health professionals. Results construction of the conceptual structure with literature review, the analysis of researchers, experts and health professionals finalized the scale with 36 questions. The work environment is influenced by working conditions, administration and management issues, worker health, workloads, appreciation and motivation, violence and strategies for a healthy work environment. The Content Validity Index (CVI) and Percentage of agreement were performed, with values of 0.96 (CVI) and 96% agreement, respectively. Conclusions and implications for practice the scale was developed and showed agreement, according to the content validity test by experts and health professionals. Thus, the scale is capable of being used for other validation process and can contribute to the practice of health researchers in assessing the work environment.

Modelling of Green Human Resource Management using Pythagorean Neutrosophic Bonferroni Mean Approach

Green Human Resource Management (GHRM) state a determination of the association using crossing points of employees to stimulate environment performance activity, increase the employee awareness and sustainable activities, consequently, increasing the employee awareness towards environmental challenges. The hotel industry is developing quickly in emerging nations owing to an upsurge in the tourism business; but, conversely, the hotel industry is mainly growing the problem of the environment. As a result, owing to the enormous amount of conservation problems that hotel business has faced, there is a growing potency to pay an accurate response to environmental problems and performing sustainable industry performance like the adoption of GHRM practice provides a win-win situation for its stakeholders and the organization. Accordingly, it indicates the requirement to scrutinize how GHRM performs will augment the environment in the hotel business. This manuscript models the design of GHRM using Pythagorean Neutrosophic Bonferroni Mean (GHRM-PNBM) approach. The presented GHRM-PNBM method objectives are to evaluate the limitation of hotel GRHM. Moreover, the presented technique constructs an expert system analysis technique for assessing the performance of hotel GHRM. Adaptive optimization of hotel GHRM assessment can be done using the PNBM technique, and the parameter selection method can be done using Quasi-Oppositional-Teaching-Learning-Based Optimization (QTLBO) method. The empirical analysis reports that the performance calculation of hotel GHRM has good confidence level and high accuracy

Cross-cultural adaptation of the Voice-related Experiences of Nonbinary Individuals - VENI to Brazilian Portuguese.

This study aimed to translate and cross-culturally adapt the "Voice-related Experiences of Nonbinary Individuals" (VENI) to Brazilian Portuguese (BP). Cross-cultural adaptation was performed based on the combined guidelines of the World Health Organization's (WHO) Translation Recommendations and the COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN). The process included five stages: a) Translation of the instrument into BP by a translator specialized in the construct and a non-specialist, both native BP speakers and fluent in English; b) Synthesis of the two translations by consensus; c) Back-translation by a translator specialized in the construct and a non-specialist, both native English speakers and fluent in BP; d) Analysis by a committee of five speech-language pathologists voice specialist and the creation of the final version; e) Pre-testing with 21 individuals from the target population, conducted virtually. During the translation stage, there were disagreements regarding the title, instructions, response key, and 15 items. In the back-translation stage, there were discrepancies in the format of 12 items and the content of four items. The expert committee's analysis led to changes in the title, instructions, one option in the response key, and eight items to meet the equivalence criteria. In the pre-test, a significantly higher proportion of usual responses to the instrument was observed when compared to the non-applicable option; this is frequently observed in instrument adaptations. The cross-cultural adaptation of VENI into Brazilian Portuguese was successful, resulting in the "Experiências relacionadas à Voz de Pessoas Não Binárias - VENI-Br" version.

АКТУАЛЬНЫЕ ПОДХОДЫ К ОРГАНИЗАЦИИ ПРАКТИКО-ОРИЕНТИРОВАННОГО ОБУЧЕНИЯ В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ

Despite the transition to multidisciplinary training of specialists, increasing the fundamental nature of education, and increasing the volume of specialized disciplines and elective courses, there are still significant shortcomings in the educational process of modern universities in terms of the mismatch between the content of education and the demands of companies. In this situation, the study aims to develop a model of work-integrated learning that promotes the formation of professional-applied competencies of students to meet the requirements of the labor market. During theoretical analysis, the current approaches to the organization of work-integrated learning in domestic and foreign universities were identified. To verify the results of the theoretical analysis, qualitative research was conducted through in-depth interviews with experts in work-integrated learning development. The results of the in-depth interviews were processed using qualitative content analysis. The analysis of experts identified the best approaches to the organization of work-integrated learning, as well as formats that promote the best integration of universities and companies. Weaknesses in providing work-integrated education in Kazakhstan were identified. Within the framework of the model, an algorithm for organizing work-integrated education is formed with division into the target, methodological, educational, organizational, evaluative and resultant modules. A flowchart has been developed to show the interaction process between the model's main components.

Consensus on topical issues of multidisciplinary management of elderly patients with frailty in planned surgical care delivery

The number of elderly and senile patients who are in need of surgical care delivery is growing steadily year over year. This category of patients is characterized by comorbidity, polypragmasy and high prevalence of geriatric syndromes including loss of autonomy, malnutrition and cognitive impairments that increase the risk of developing perioperative complications. Management of these patients at all stages requires a comprehensive multidisciplinary approach. Nevertheless, there is no uniform understanding of solution of this problem at present. Determination of consensus on certain issues using the Delphi method will allow to gather and unite expert opinions. In this regard, the working group formulated the main points of management of elderly and senile patients before, during and after surgical treatment and conducted a cross-sectional analysis of experts' opinions.

Segmentation‐enhanced gamma spectrum denoising based on deep learning

AbstractGamma spectrum denoising can reduce the adverse effects of statistical fluctuations of radioactivity, gamma ray scattering, and electronic noise on the measured gamma spectrum. Traditional denoising methods are intricate and require analytical expertise in gamma spectrum analysis. This paper proposes a segmentation‐enhanced Convolutional Neural Network‐Stacked Denoising Autoencoder (CNN‐SDAE) method based on convolutional feature extraction network and stacked denoising autoencoder to achieve gamma spectrum denoising, which adopts the idea of data segmentation to enhance the learning ability of the neural network. By dividing the complete gamma spectrum into multiple segments and then using the segmentation‐enhanced CNN‐SDAE method for denoising, the method can achieve adaptive denoising without manually setting the threshold. The experimental results show that our method can effectively achieve gamma spectrum denoising while retaining the characteristics of the gamma spectrum. Compared with traditional methods, the denoising speed and effectiveness have been significantly improved, and the proposed method demonstrates an approximately 1.72‐fold enhancement in smoothing performance than the empirical mode decomposition method. Furthermore, in terms of retaining gamma spectrum characteristics, it also achieves a performance improvement of approximately three orders of magnitude than the wavelet method.

Study of global trends in economic protection of enterprises: bibliometric analysis, graphic visualization and forecasting

Introduction. In order to ensure the operation of the system of economic protection of the enterprise in the conditions of military aggression of the Russian Federation, a full-scale invasion of the territory of Ukraine and martial law, the article emphasizes the need to study the theoretical foundations of the problem. Purpose. The article conducts a study of global trends in economic protection of the enterprise, using means of bibliometric analysis, formation of bibliometric networks, economic and mathematical methods of forecasting, means of comparison and graphical visualization of the obtained results. Method (methodology). To achieve these goals, bibliometric analysis of the Scopus database, correlation-regression analysis and forecasting based on a trend model using MS Excel were used. Visualization of the bibliometric analysis was implemented using the VOSviewer and an online service designed for the construction of the Sankey diagram. Results. According to the results of the bibliometric analysis from 1943 to 2024 (March 2024), 3 230 publications were found in the Scopus database, the significant growth of which occurred in 2001-2024. The predicted value for 2025-2040 using regression models is 6 504 publications, which in twice their total number in the studied period. In the process of analysis, the 16 387 keywords identified in the publications were summarized in 7 clusters by the VOSviewer. Among them, such keywords as: Environmental protection dominate; Economic development; Environmental economics and management, regulation, policy; Sustainable development; Pollution (environmental pollution, pollution control), etc. The received keywords were structured according to thematic direction and total link strength. As a result of expert analysis and grouping, 6 aspects were obtained (Economic aspect, Environmental aspect, Aspect of natural resources, Governmental aspect, Industrial aspect, Instrumental aspect), of which the most popular is Environmental aspect (24 329 keywords or 35,22%), which involves the study of enterprise protection technologies, environmental economics, policy, etc.

О способах усиления чрезвычайного гуманитарного реагирования МЧС России за пределами Российской Федерации

Purpose. Currently, on average, a disaster which demands international response forces for elimination is registered in the world every week. In this regard, there is an increasing need to train specialists capable of participating in international emergency response in accordance with the universal methodology developed by UNDAC. To solve this problem, it is necessary to work out an algorithm for conducting exercises and training sessions. The purpose of this article is to analyze the international exercises on coordinating and assessing emergency humanitarian response conducted in November 2023 by EMERCOM of Russia in order to work out didactically sound methodology for conducting such exercises in the long run. The relevance of the study is accounted for the demand for Russian specialists in humanitarian response at the international level, on the one hand, and the need to develop uniform algorithms for training Russian rescuers for international cooperation when responding to emergencies, on the other hand. Methods. System analysis, information synthesis methods and expert analysis methods have served as a scientific basis for the study. Findings. The analysis of the exercises effectiveness has been carried out from the point of view of implementing the assigned tasks – updating communication skills in English in the professional sphere; forming theoretical basis and developing practical skills in the field of international humanitarian response to emergencies; forming soft skills. A unified algorithm has been worked out for preparing Russian rescuers for international cooperation when responding to emergencies. Research application field. The results obtained can be used to organize similar exercises in future, which will increase the effectiveness of training international-level Russian rescuers and allow them to successfully solve professional tasks in real emergencies. Conclusions. The format of the international exercise gives its participants an opportunity to gain the necessary theoretical knowledge and practice key skills and habits in a short time. The success of the exercises allows the organizers to conclude that it is advisable to keep this format and content in future regarding all components of the exercise: language training, practical value and updating soft skills.

Comparative analysis of representation of IDPs and refugees in regional media of the Eastern region of Ukraine in regional media in February 2017 and 2023

The article presents a comparative analysis of two media content studies with the use of media monitoring in covering the topic of internally displaced persons (IDPs). The comparative analysis covers the results of monitoring conducted in February 2017 – 2023 in the Eastern regions of Ukraine. Both studies involved quantitative and qualitative approaches. Quantitative with the use of content analysis, qualitative – with the use of expert analysis.

Հայ-թաթարական բախումներն ու Բաքվի հայության ինքնապաշտպանության կազմակերպումը ըստ «Դրօշակ» պարբերականի / ARMENIAN-TATAR CLASHES AND THE ORGANIZATION OF SELF-DEFENSE OF BAKU ARMENIANS ACCORDING TO «DROSHAK» PUBLICATION

This article is intended to examine in a new light the deep causes of the ArmenianTatar conflicts of 1905, the circumstances and complications of organizing self-defense of the Armenians, according to the newspaper ‘’Droshak’’. The task of the article is to provide an expert analysis of the true causes of the Armenian-Tatar conflict of 1905, the efforts made by its main organizing force - the Tsarist authorities, as well as the brilliant self-defense organized by Dashnaktsutyun, based on the abundant information of "Droshak" publication and comparing it with the works of other authors. The work is outlined on the basis of a comprehensive study of the facts, using the principles of historical analysis. As a result of this study, it can be stated that the Armenian-Tatar clashes provoked by the Tsarist government in 1905-1906 had both political and economic motives and farsighted goals, but due to proper self-defense and decisive offensive actions organized by Dashnaktsutyun, these clashes stopped throughout the Caucasus. It is an undeniable fact that the Tsarist government, by fomenting interethnic conflicts in the Caucasus region, aimed to keep them away from the revolutionary movements pursuing the empire, and to extract from these clashes as many economic and political benefits as possible․ However, the Armenian people managed to emerge victorious in these clashes, as the organization of resistance was taken over by Dashnaktsutyun, which, with the opening of the "Caucasian Front" in 1904, also took over the Self-Defense Cause of Eastern Armenians․

A Study of Commercial Augmented Reality Applications in Manufacturing: A Subject Matter Expert Analysis

Augmented Reality (AR) has the potential to improve operations within manufacturing, but its use remains limited in industry. Poor quality of software applications has been reported as one of the reasons for the low adoption of AR in the industry. In this paper, nine commercial AR applications for the manufacturing industry were analysed using a Subject Matter Expert (SME). A mechanical engineer, a UX designer, and an AR technologist analysed the AR applications to understand how useful they are in assisting manufacturing workers, how good their user interface and interaction are, and how robust the technology is. It was observed that these applications explore the potential of AR to impact manufacturing by targeting relevant industry issues. It has been found that these applications have similar purposes, features, and interfaces. However, the analysis suggested they need significant improvements with essential aspects to be employed in more general industry contexts, such as the user interface, more personalisation, and others. Finally, the user requirements to help increase AR adoption in manufacturing has been presented.

Новая коронавирусная инфекция профессионального генеза у медицинских работников Республики Татарстан

The purpose — to conduct a clinical, epidemiological and expert analysis of occupational cases of new coronavirus infection (NCVI) in medical workers (MW) of the Republic of Tatarstan. Material and methods. On the basis of the Republic Center for Occupational Pathology (RCPP), a retrospective analysis of the medical documentation was conducted (n = 47, 40 fatal cases, 7 complicated COVID-19 without fatal outcome, from April 2020 to August 2023). Results. The study group of MW with NCVI (n = 47) consisted mainly of women — 30 (63.8%), median age 58 (50; 64) years. Doctors of various specialties (20/42.5%) and nurses – 16 (34%) prevailed in the structure of positions of MW with NCVI. According to the vaccination history, only 12 (25.5%) MW were vaccinated. Comorbid is eases were detected in 43 (91.5%) patients. At the time of hospitalization, the leading clinical syndromes were infectious-toxic and respiratory. The diagnosis was verified in 46 (97.9%) MW by PCR when SARS-CoV2 RNA was detected in an oropharyngeal smear. Against the background of the disease severity, 40 (85.1%) MW had a fatal outcome, 7 (14.9%) had a complicated course with outcome in pneumofibrosis or sensor-neural hearing loss. Upon examination of the NCVI cases connection with the occupation, 40 (85.1%) were diagnosed with occupational disease (PD). according to Article 8 of Federal Law No. 125-FZ of 07/24/1998, various types of insurance and a one-time insurance were provided to medical workers and their family members (in case of the MW death), if the connection of the NCVI with the occupation was established. Conclusion. Connection of the NCVI with the occupation was established in 40 (85.1%) out of 47 medical workers (33 cases with a fatal outcome; 7 cases of a complicated COVID-19). The development of complicated and lethal forms of COVID-19 was registered in medical workers aged over 45 years old with unfavorable premorbid, including in vaccinated individuals with multiple comorbidity. Pre-contact immunoprophylaxis is still in demand in middle and older age groups, and in occupational risk groups. At the present stage, timely specific diagnosis of NCVI and the appointment of effective etiotropic and proactive pathogenetic therapy remain relevant.

EKONOMICKÉ TRENDY NA GLOBÁLNOM TRHU BIOTECHNOLÓGIÍ

Purpose of the article is to provide a comprehensive overview of the global biotechnology market, highlighting its immense size, rapid growth, and significant contributions to various sectors. It discusses key drivers of growth, current dynamics, key players, expected prospects, regional market distributions, and the role of biotechnology in addressing sustainability challenges. Overall, it emphasizes the promising future of the biotechnology sector and its potential for significant growth and impact on economic value creation and sustainability. Methodology/methods where various sources such as academic papers, industry reports, statistical data, and expert analysis provide an overview of the global biotechnology market. It covers aspects such as market size, growth trends, key players, regional analysis, and prospects. Scientific aim of the article is to provide a comprehensive overview of the global biotechnology market, covering its current size, growth trends, key players, regional dynamics, and prospects. Through data analysis and expert insights, the article aims to shed light on the immense potential of the biotechnology sector and its role in driving economic growth, technological innovation, and sustainability. Findings includes Market Size and Growth as notable advancements in gene technologies have spurred the emergence of new scientific fields like proteomics, genomics, and metabolomics, contributing to the sector's expansion. Then Regional Dynamics in North America, led by the United States, currently dominates the global biotechnology market. However, regions like Europe and Asia-Pacific, particularly India and China, are expected to experience significant growth in the coming years. Conclusions (limits, implications etc.) Biotechnology's potential is to provide sustainable solutions to global challenges, making it a promising sector with significant future growth prospects. The increasing demand for organic agricultural products, advancements in clinical testing, and the development of more effective hybrid plants and animals are expected to drive further growth in the biotechnology market.

Составление ESG-рейтинга методом многокритериального ранжирования с использованием NLP на примере российских компаний

The significance of the research outlined here lies in the challenge of selecting partner companies under tight timeframes and with limited access to comprehensive data, particularly concerning a wide range of ethics and sustainability issues. This study aims to address this challenge by developing a model for the automated processing and analysis of textual information concerning groups of companies, particularly within the context of the Environmental, Social, and Governance (ESG) concept. The study incorporates methods for automatically extracting topics from textual data, utilizing machine learning techniques, conducting multi-criteria ranking, and employing both comparative and expert analyses of the results. To conduct our experiments, we compiled a dataset comprising over 1200 reports from leading Russian companies spanning the years 2019 to 2022. Additionally, we leveraged news articles posted on the FORBES-Russia website. As a result of our work, we have developed a model and methodology for analyzing textual information about groups of companies, facilitating their ranking. The analysis of the obtained results, both qualitatively and quantitatively, demonstrates their non-random and justified nature.The study showcases the efficacy of the proposed model in selecting companies through the ranking of a limited set of candidates based on accessible textual information. The insights from this research are valuable not only for rating agencies but also for companies seeking to conduct their own analysis when choosing partners.

Research on the Application of Operational Optimization Expert Analysis System Technology

At present, the national power system is gradually achieving separation of government and enterprise, and corporate restructuring; Implement the separation of network factories and bidding for online access, and gradually establish a modern enterprise system. Effectively carrying out energy conservation and consumption reduction work, reducing the cost of power generation and supply, is an inevitable requirement for the survival and development of power enterprises themselves.To effectively carry out energy-saving and consumption reduction work, as a group power generation company and power plant, it is necessary to solve the following problems: how to evaluate the actual and expected level of unit performance, how to quantitatively determine the impact of various factors on unit performance, how to improve operational level to reduce energy consumption, how to assess and evaluate the implementation of energy-saving work from a management perspective, and so on. Therefore, it is necessary to have a complete and scientific expert analysis system for optimizing power plant operation.

КРИТЕРИИ ОЦЕНКИ КАЧЕСТВА И ПЕРСПЕКТИВЫ ВНЕДРЕНИЯ ПРОАКТИВНЫХ ГОСУДАРСТВЕННЫХ УСЛУГ

The paper considers how the state’s success in delivering public services can be evaluated in a new proactive mode. This new format implies the provision of services based on data from the agencies, without officials’ participation, by automated algorithms. Such changes require the development of completely new competencies in public bodies, from technical to legal. The success of implementation should be confirmed by regular monitoring based on the evaluation of such implementation and the quality of proactive public services. The goal of our work is to develop a methodological approach to the assessment of implementation and quality of proactive public services. In order to achieve this goal a set of methods was used: methods of expert analysis, formal legal, historical legal and comparative legal methods. The results of the research were the development of the concept and definition of the main directions for realization of the public services proactive mode, their classification and our own approach to the development of a methodology for assessing the implementation and quality of proactive public services. The current research is a pioneering independent study of the proactive mode of public services in the context of the President’s instructions and program documents implementation.

Kiosk 11R-FB-12 - Semi-automated Measurements of the Thoracic Aorta Assessed by Cardiac Imaging Fellows: comparison with Manual Expert Analysis

Kiosk 11R-FB-12 - Semi-automated Measurements of the Thoracic Aorta Assessed by Cardiac Imaging Fellows: comparison with Manual Expert Analysis

ԷԼԵԿՏՐՈՆԱՅԻՆ ԿԱՌԱՎԱՐՄԱՆ ՀԱՍՈՒՆՈՒԹՅԱՆ ՄՈԴԵԼԸ ԹՎԱՅԻՆ ՓՈԽԱԿԵՐՊՄԱՆ ՕՐԱԿԱՐԳԻ ՀԱՄԱՏԵՔՍՏՈՒՄ / THE E-GOVERNANCE MATURITY MODEL IN THE CONTEXT OF THE DIGITAL TRANSFORMATION AGENDA

This paper aims to develop a theoretical model of e-governance maturity as a core operational framework for digital transformation, in order to evaluate the policy processes occurring in Armenia during the transition to e-governance. Accordingly, the study outlines the key distinctions and interconnections between e-governance and the digitalization of governance in a step-by-step manner, analyzes various e-governance maturity models, interprets the levels of e-governance maturity assessment, and concludes with an operational analysis of the proposed maturity model. The proposed model is structured around seven key components: leadership, finance, infrastructure and technology, service delivery, big data management and security, human resources assessment, and digital agenda information systems. . The development of this theoretical model employed scientific literature reviews, document analysis, and comparative evaluations. As a result of the work done, it can be concluded that this model claims to assist in assessing the current state of government digitalization in Armenia, establishing a vision for e-governance development with key priorities, and formulating the necessary indicators for monitoring and evaluating strategic planning efforts. This model is designed for application in both specialized expert analyses and broader, multi-stakeholder evaluations, utilizing diverse data collection and analysis methods. Importantly, the model emphasizes a qualitative approach, providing a comprehensive description of egovernance and digitalization processes rather than a purely quantitative assessment

Speaking in Public Coping Scale (ECOFAP): content and response process validity evidence.

To present the content and response process validity evidence of the Speaking in Public Coping of Scale (ECOFAP). A methodological study to develop and validate the instrument. It followed the instrument development method with theoretical, empirical, and analytical procedures, based on the validity criteria of the Standards for Educational and Psychological Testing (SEPT). The process of obtaining content validity evidence had two stages: 1) conceptual definition of the construct, based on theoretical precepts of speaking in public and the Motivational Theory of Coping (MTC); 2) developing items and response keys, structuring the instrument, assessment by a committee with 10 specialists, restructuring scale items, and developing the ECOFAP pilot version. Item representativity was analyzed through the item content validity index. The response process was conducted in a single stage with a convenience sample of 30 people with and without difficulties speaking in public, from the campus of a Brazilian university, belonging to various social and professional strata. In this process, the respondents' verbal and nonverbal reactions were qualitatively analyzed. The initial version of ECOFAP, consisting of 46 items, was evaluated by judges and later reformulated, resulting in a second version with 60 items. This second version was again submitted for expert analysis, and the content validity index per item was calculated. 18 items were excluded, resulting in a third version of 42 items. The validity evidence based on the response processes of the 42-item version was applied to a sample of 30 individuals, resulting in the rewriting of one item and the inclusion of six more items, resulting in the pilot version of ECOFAP with 48 items. ECOFAP pilot version has items with well-structured semantics and syntactic, representing strategies to cope with speaking in public.

Negative Factors Influencing the Policy of Public Administration Development of the Agriculture in the Region: The Exampleof Poland

The main purpose of the article is to determine the level of importance and influence of the main negative factors influencing the formation of an effective policy for the development of agriculture in the region. And also, to formulate appropriate recommendations for overcoming or adapting modern agricultural development policies based on these factors. The set purpose is achieved through the use of a specific methodology, which includes the method of expert survey and analysis of hierarchies. As a result, seven key negative factors were identified that have the greatest negative impact on the formation of an effective policy for the development of agriculture in the Poland region. For a better understanding of the proposed methodology, we chose a separate region of Poland-Podkarpackie Voivodeship. Ultimately, the most appropriate recommendations were proposed to improve agricultural development policies for the region. The study has a limitation because it includes an analysis of region-specific negative factors. Given this, their level of influence and importance, as well as the prevailing recommendations, are highly specific to this region. In the future, it is planned to expand the analysis of factors and the formation of recommendations across the entire EU sector.