Goal Setting Research Articles

Assessing Accented Speech with a Data-Based Assessment Framework: The Key to Evidence-based Accent-Management

Background: Foreign-accent Management continues to be a rapidly growing area. However, due to the vast variability and lack of professional regulation in this area of practice, Speech-language Pathologists and English-as-Second-Language teachers grapple with the basics of assessment, setting goals, planning therapy, and identifying successful outcomes for accent Management. Purpose: The purpose of this paper is to introduce practitioners/teachers to a framework of assessment of accent-related communication concerns. The CAAI assessment framework provides major areas to include in assessment of accented speech, along with methods to assess with key examples. Using a proven assessment framework helps identify the key speech and language issues that interfere with communication, thereby setting an useful baseline for effective intervention, numerically tracking progress along the way, and conducting a systematic post-intervention outcome assessment. Methodology: Twenty-two areas of communication are identified and described in detail as key areas to identify accent-related concerns. Pre- and post-therapy assessment data, intelligibility judgments by independent raters, and the clients’ judgments are used to quantitatively diagnose, set goals in therapy, and measure eventual therapy outcomes. Conclusions: Use of a data-driven, objective assessment method helps clinicians to be evidence-based, systematic, and consistent in helping individuals with accented speech. As a result, clients’ goals of clear communication can be met rapidly and efficiently.

Opposition party institutionalisation in authoritarian settings: the case of Uganda

ABSTRACT This article analyses the process of institutionalisation among Ugandan opposition parties and highlights the tensions at play between party institutionalisation and broader party goals in authoritarian settings. Based upon qualitative research conducted between 2016 and 2023, we offer a historical analysis of the steps towards institutionalisation – understood as a process, rather than a state – taken by two Ugandan parties: the Forum for Democratic Change (FDC) and the Democratic Party (DP). Uganda features historical parties such as the DP that were severely weakened by the ‘Movement era’ but endured despite losing ground, and newer opposition forces, such as the FDC, that proved relatively stronger despite being divided over the question of building party structures, thus providing an interesting case study. Ultimately, this article demonstrates the complex, and at times conflicting, implications of institutionalisation for opposition parties’ ability to achieve their objectives in an authoritarian regime.

Structural Equation Modeling for the Business Performance of Private Hospitals in Thailand: Management Perspective

This research aimed to study the causal factors affecting the business performance of private hospitals in Thailand from a management perspective. The sample consisted of 411 executives from private hospitals in Thailand, selected through purposive sampling. Data were collected via questionnaire, with SEM being used for analysis. The results indicated that the development of an enterprise resource system, including the competency and capability of entrepreneurs, positively influenced the focus on competitive differentiation. In turn, this focus had a positive effect on customer relationship management. Customer relationship manage­ment positively impacted brand loyalty, which subsequently enhanced business performance. In contrast, the competency and capability of entrepreneurs did not have an effect on business performance. The findings suggest that the growth and sustainability of business performance in private hospitals depends on various supportive factors. These range from policy formulation and the development of technological systems in services to strategies for building customer relationships, all contributing to competitive advantages, service loyalty, and success in achieving set goals.

Private label partnerships with retailers: a risk or opportunity for producers?

PurposeThis study identifies benefits and challenges of PL partnerships, and recommendations to improve the PL partnership process.Design/methodology/approachQualitative data was collected via semi-structured interviews (n = 8) with Irish PL retail buyers (n = 4) and producers (n = 4). Data was coded and thematically analysed.FindingsThree key themes were identified. Theme 1 provides an overview of the benefits of PL partnerships for producers (e.g. volume driven orders, increased efficiencies) and for retailers (e.g. unique products, meeting consumer demand). Theme 2 presents challenges of PL partnerships specific to small and large producers (e.g. small producers may need significant investment to upgrade facilities, while larger producers may require significant volume to justify adaptation of production lines). Challenges common to both (e.g. risks related to short-term contracts, concerns about brand identity) are also discussed. Theme 3 summarised recommendations for successful PL partnerships generally (e.g. setting clear expectations and goals, building rapport and trust), and recommendations specific to producers and buyers specifically (e.g. producers should diversify customers to reduce risk, and retailers should communicate needs and direction).Originality/valueThere is currently limited research on PL partnerships between producers and retailers. This study addresses this gap by identifying key aspects for producers to consider when entering PL partnerships and key aspects for retailers to be aware of to help improve the attractiveness and success of these partnerships.

Veteran Experiences With an mHealth App to Support Measurement-Based Mental Health Care: Results From a Mixed Methods Evaluation.

Mental health conditions are highly prevalent among US veterans. The Veterans Health Administration (VHA) is committed to enhancing mental health care through the integration of measurement-based care (MBC) practices, guided by its Collect-Share-Act model. Incorporating the use of remote mobile apps may further support the implementation of MBC for mental health care. This study aims to evaluate veteran experiences with Mental Health Checkup (MHC), a VHA mobile app to support remote MBC for mental health. Our mixed methods sequential explanatory evaluation encompassed mailed surveys with veterans who used MHC and follow-up semistructured interviews with a subset of survey respondents. We analyzed survey data using descriptive statistics. We then compared responses between veterans who indicated having used MHC for ≥3 versus <3 months using χ2 tests. We analyzed interview data using thematic analysis. We received 533 surveys (533/2631, for a 20% response rate) and completed 20 interviews. Findings from these data supported one another and highlighted 4 key themes. (1) The MHC app had positive impacts on care processes for veterans: a majority of MHC users overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed or strongly agreed that using MHC helped them be more engaged in their health and health care (169/262, 65%), make decisions about their treatment (157/262, 60%), and set goals related to their health and health care (156/262, 60%). Similarly, interviewees described that visualizing progress through graphs of their assessment data over time motivated them to continue therapy and increased self-awareness. (2) A majority of respondents overall, and a greater proportion who had used MHC for ≥3 months (versus <3 months), agreed/strongly agreed that using MHC enhanced their communication (112/164, 68% versus 51/98, 52%; P=.009) and rapport (95/164, 58% versus 42/98, 43%; P=.02) with their VHA providers. Likewise, interviewees described how MHC helped focus therapy time and facilitated trust. (3) However, veterans also endorsed some challenges using MHC. Among respondents overall, these included difficulty understanding graphs of their assessment data (102/245, 42%), not receiving enough training on the app (73/259, 28%), and not being able to change responses to assessment questions (72/256, 28%). (4) Interviewees offered suggestions for improving the app (eg, facilitating ease of log-in, offering additional reminder features) and for increasing adoption (eg, marketing the app and its potential advantages for veterans receiving mental health care). Although experiences with the MHC app varied, veterans were positive overall about its use. Veterans described associations between the use of MHC and engagement in their own care, self-management, and interactions with their VHA mental health providers. Findings support the potential of MHC as a technology capable of supporting the VHA's Collect-Share-Act model of MBC.

Stopgap Measures for Obesity Prior to Surgery.

The data on preventive measures for managing obesity prior to surgery is limited. This review highlights the role of stopgap measures for managing obesity before surgery. Body weight regulation to achieve sustainable weight loss is a gradual process. Regular aerobic exercises, transformative yoga and restrained eating can contribute to a calorie deficit. Behavioural strategies aim to raise awareness, set goals, manage stress, and support adherence to healthier lifestyles. Pharmacotherapy can be adjunctive in inducing weight loss but could be better at maintaining weight. Intragastric balloon and endoscopic sleeve gastroplasty are restrictive procedures for patients before surgery. Obesity is a multifaceted chronic disease with adverse health consequences. There is a need to identify contributors to weight gain and treatment should target the cause of obesity. Utilize stop-gap measures and monitor progress for step-up or more intensive treatment. Structured weight loss needs lifelong commitment.

An Interpretable Deep Learning for Early Detection and Diagnosis of Wheat Leaf Diseases

Wheat is a strategic crop that ensures food security and sustainability. Due to climate change, Egypt faces many challenges in the context of wheat disease. This led the government to set goals to achieve sustainable development, represented by Egypt’s Vision 2030. Automated systems using artificial intelligence can help in the early identification of wheat diseases and reduce effort and time as well. In this paper, we introduce a novel deep learning model (Mobile-DNN-Net) to identify wheat diseases. The mobile-DNN-Net model is evaluated using a wheat disease dataset between 15 different classes. Our model (Mobile-DNN-Net) is a hybrid between MobileNet and Deep convolution neural network (DCNN). Also, Grad-Cam techniques into a convolutional neural network (CNN) defect detection model to enhance its transparency and comprehensibility. Grad-CAM precisely identifies the precise regions of the input image that exert the greatest influence on the model's prediction, thereby enhancing the clarity and comprehension of the detection process. The mobile-DNN-Net model is compared to other DL models such as Xception, MobileNet, InceptionV3, and VGG19. The proposed model shows superior results compared to other models.

Comparative analysis of modern technologies of additive production

In today's conditions, 3D printing is used to create unique models, prototypes, and equipment necessary for conducting experiments and studying various phenomena and processes, for the rapid prototyping of various parts and devices in scientific and engineering research. 3D printing technologies are actively used to create individual medical implants, prostheses, and organ models for training and planning operations, which significantly improves the quality of medical care. In the aerospace and automotive industries, additive manufacturing is used to create lightweight and durable parts helping to reduce weight and improve vehicle efficiency. The use of additive manufacturing methods, technologies, and tools allows you to check and test designs and concepts before mass production. In this work, a detailed analysis of various existing 3D printers is carried out depending on the tasks, and modern technologies of additive manufacturing are investigated depending on the set goals and scientific and applied tasks. Such technologies include Fused Deposition Modeling, Stereolithography, Selective Laser Sintering, Direct Metal Laser Sintering, and Digital Light Processing. In the work, a comparative analysis of these technologies was carried out according to various criteria, such as principle of operation, materials, resolution, surface finish, accuracy, speed, strength, application, cost, complexity of parts, and post-processing. For each technology, the advantages and disadvantages of its use are determined depending on the goals and objectives. It should be noted that some materials may not be suitable for printing complex parts or require additional support during the printing process. This can lead to complexity in the processing of products and increase the time and costs of printing. Improper selection of materials for 3D printing can be harmful to the environment or human health when used incorrectly. For example, some plastic materials may emit toxic elements or have low biodegradability. Also, using excess expensive material unnecessarily can increase the cost of the project. Keywords: additive manufacturing, 3D printing, additive manufacturing technologies, Fused Deposition Modeling, Stereolithography, Selective Laser Sintering, Direct Metal Laser Sintering, Digital Light Processing.

Conditions of the family environment conducive to children's life success in the opinions of war refugees from Ukraine

Life success is an essential area of social sciences and humanities research. The article's main goal is to present the factors of the family environment that contribute to children's success in life, in the opinion of surveyed war refugees from Ukraine. Additionally, information was presented on how war refugees from Ukraine understand life success. The concepts of success and life success were explained. The reasons for the arrival of war refugees from Ukraine to Poland were presented. Global, international, national and local aid is described. Based on the research results, it was found that in the process of educating children to succeed in life, the most critical factors are supporting the child’s self-confidence, frequent displays of parental love and developing planning skills (setting goals). The surveyed people most often understood success in life as: having a happy family, being happy and healthy. The situation of armed conflict, which is the reason for the arrival of war refugees from Ukraine to Poland, makes family life difficult for these refugees. Conducting scientific research in such a specific situation has, in addition to its descriptive nature, also a cognitive value. It allows you to learn about parents' opinions about their children’s success in life.

Flipped Classroom Based on Blum’s Modeling and its Impact on Autonomous Learning Experienced by Mathematics Students from a University in Lima, Peru

Introduction. The flipped classroom method represents an avant-garde approach to the learning process, in which students acquire the fundamental concepts of a subject outside the traditional classroom environment. In this work, Blum's modeling was used, based on discovery learning, where students are initially faced with problems or situations that require a solution, encouraging the search for information and the application of various strategies to solve them. This combination enhances learning autonomy by offering greater opportunities for practice and feedback. Objective. The research aims to determine the impact of the flipped classroom method as a tool to promote autonomous learning. Method. A mixed methodology was used, integrating elements of quasi-experimental and phenomenological design, with an explanatory scope. Results. The study revealed a 65% effectiveness in the development of autonomous learning among students who participated in the flipped classroom implementation. In addition, participants reported an increase in motivation, ability to set goals, identification of challenges and strengths, availability of resources and an environment conducive to learning, as well as selection of effective study strategies and increased reflection on the effects of their learning. In conclusion, the findings support the usefulness of flipped classroom as a valuable tool for fostering autonomous learning in university students. Received: 3 February 2024 / Accepted: 26 April 2024 / Published: 5 May 2024

Cluster methods in function better selection

Cluster analysis methods, also known as taxonomic methods, are intended for grouping objects and subjects according to certain characteristics, attributes and properties. Cluster analysis looks at relevant objects and attributes, classifying them into two or more independent groups. Cluster analysis supplemented with discriminant analysis is used in confirmatory and fundamental research. In numerous statistical-methodological procedures, these methods are applied when setting up and testing various hypotheses. Grouping methods are particularly useful in the process of different selections with the aim of forming coherent groups, which may or may not necessarily be statistically different. There are several models of clustering (grouping), always with one goal, which is greater proximity (similarity) of an entity belonging to a group compared to an entity belonging to another group. Two basic grouping models are recognizable, Hierarchical and Non-Hierarchical. Both models have the same goal, which is the formation of several independent homogeneous groups from one common group of entities. The hierarchical approach does not define the number of clusters in advance (a priori), in contrast to the Non-Hierarchical Model which defines in advance number of clusters. The grouping model is chosen depending on the specific problem and the set goal of grouping. In the process, several different models are often applied, and then one is chosen as in this research. It is important to point out that the theoretical number of clusters (groups) is often not realistically applicable in practice. Using the example of this research, it was proven that the first grouping was not a good solution. Through the subsequent, second and third iteration, as well as the application of additional discriminative methods, three optimal clusters were determined in the population of girls and boys. Satisfactory optimal grouping was obtained on the basis of gender criteria and achieved results on psycho-motor tests.

INTEGRATING PSYCHOEDUCATION INTO MOTIVATIONAL THERAPY: A PROTOCOL FOR POSITIVE CHANGE IN DEPRESSIVE SUBJECTS

The combination of psychoeducation and motivational therapy is proved to be a powerful approach to help individuals making positive changes in their lives.(Miller &amp; Rollnick, 2013) This scientific paper provides practitioners with information on a draft protocol for psychoeducation in motivational therapy,which is combining the two approaches to optimize the change process. This protocol emphasizes the importance of tailoring treatment to the patient's individual needs, and reinforcing the motivation induced to promote lasting change. The protocol begins with the establishment of a trusting relationship between therapist and patient, followed by in-depth information on the problem to be treated. Next, sessions are organized to explore motivation, identify the advantages and disadvantages of change, set goals for change and, finally, reinforce the skills needed to achieve these goals. In addition, relapse prevention strategies are discussed with the patient, and a long-term support plan is drawn up involving his collaboration. This protocol offers a holistic and personalized approach to guide practitioners in the application of psychoeducation in motivational therapy, promoting positive and lasting results for people seeking change. The scientific paper concludes by highlighting the interest of this integrated approach for a variety of issues in Depressive Subjects, while emphasizing the need for follow-up sessions to maintain progress and ongoing support

Методика расчета эффективности профилактических осмотров и диспансеризации определённых групп взрослого населения при выявлении злокачественных новообразований.

One of the objectives of the Federal Project «Fighting Cancer» is to achieve «The proportion of malignant neoplasms detected at early stages, Percentage.» One method to achieve the set goals is to improve the efficiency of preventive medical examinations and screenings of certain adult population groups. The study aims to provide a methodological rationale for calculating the efficiency indicators of preventive medical examinations and screenings of certain adult population groups in terms of detecting malignant neoplasms. Materials and methods. For conducting the study, we used normative legal documents regulating the procedures for conducting preventive medical examinations and screenings of certain adult population groups, as well as industry-specific statistical report forms № 131/o «Information on conducting preventive medical examinations and screenings of certain adult population groups» from 11 subjects of the Northwestern Federal District for the period 2017–2022. Results. According to the analysis of the indicator «The share of residents of the Russian Federation subjects undergoing PME (Preventive Medical Examination) and SCS (Screening for Certain Groups) compared to the number of residents fitting the criteria for PME and SCS», this indicator has practically not changed over the period from 2017 to 2022, being 0,41 in 2017 and 0,42 in 2022. The coverage by preventive examinations and screenings of certain population groups in the Russian Federation subject in the Northwestern Federal District from 2017 to 2022 decreased from 0,92 to 0,75 of what was due. When calculating the actual coverage by preventive examinations and screenings of certain adult population groups in the Northwestern Federal District, the indicator slightly decreased from 0,37 in 2017 to 0,32 in 2022. The «overall» contribution of preventive medical examinations and screenings of certain adult population groups in the Northwestern Federal District slightly increased from 0,11% in 2017 to 0,14% in 2022. When analysing the «crude» index of the contribution of PME and SCS in detecting malignant neoplasms from 2017 to 2022, an increase from 3,34% to 7,6% is noted. The standardised contribution of preventive examinations and screenings of certain adult population groups to the diagnosis of breast cancer malignant neoplasms increased from 3,7% in 2017 to 8,5%, and the diagnosis of malignant neoplasms of colon, rectum, and anal canal (C18-C20) for the same period increased from 4% to 7,9%. Conclusion. Regardless of which indicator is used to calculate the efficiency of conducted preventive measures, manual data entry and the formation of statistical forms 131/o must be stopped. Manual data entry can lead to data distortion and introduce significant fluctuations in indicators when comparing the same indicator among different subjects of the Russian Federation.

EXPLORING MINDMEND: AN INNOVATIVE MENTAL HEALTH SUPPORT APP FOR AUTISTIC ADOLESCENTS AND THEIR CAREGIVERS

Teenagers with mild autism spectrum disorders (ASD) and those who care for them face difficulties. Conventional mental health therapies frequently ignore culturally specific factors that are crucial to the patient's overall wellness. The paper aims to introduce and evaluate "MindMend" a smartphone software specifically designed for teenagers with mild autism spectrum disorders (ASD) and their caregivers. It focuses on examining the effectiveness of MindMend in reducing caregiver stress and alleviating autism symptoms. Additionally, it emphasises the significance of providing comprehensive support that considers the cultural and religious nuances of the target population. The software includes modules for social skills training, emotion regulation, and cognitive-behavioural therapy. Users may participate in a helpful online community, track their progress, and set goals. Early research demonstrates encouraging outcomes in reducing caregiver stress and autism symptoms. MindMend seeks to be a flexible instrument that enhances mental health while honouring subtleties related to culture and religion. The methodology integrates software development, evidence-based therapeutic approaches, and outcome evaluation. It aims to create a specialised mental health solution for teenagers with mild autism and their caregivers. The approach strongly emphasises addressing their unique challenges and providing comprehensive support. The development of MindMend involves creating an innovative smartphone application that offers specialised content. The paper assesses how well MindMend helps reduce stress for caregivers and alleviate autism symptoms in teenagers with mild ASD. The evaluation likely includes quantitative and qualitative methods to measure the digital system's impact on users' well-being.

IMPLEMENTASI PENGUATAN PERILAKU WIRAUSAHA SISWA MELALUI PROGRAM MARKET DAY DI SD NEGERI 3 ADIPASIR, BANJARNEGARA

Education is an important place for the formation of student behavior and character. Market day is present as a form of implementation of entrepreneurial learning that supports aspects of student competence that are instilled through entrepreneurial values. This research was conducted at SD Negeri 3 Adipasir Rakit, Banjarnegara using a qualitative approach method aimed at describing the implementation of strengthening students' entrepreneurial behavior. The research results show that the market day program is a strong foundation for strengthening entrepreneurial behavior. The planning stage is the main foundation, where students are invited to formulate ideas, produce goods, set goals, and develop implementation strategies. Market day forms various entrepreneurial attitudes. Students demonstrate independence, creativity, leadership, honesty, curiosity, discipline, cooperation and innovation during activities. Market day is not only an ordinary school event, but also a forum for strengthening students' character and entrepreneurial skills.

THE ESSENCE AND CLASSIFICATION OF MANAGEMENT DECISIONS: THEORETICAL AND METHODOLOGICAL ASPECT

The decision-making process plays a crucial role in the management of any business and is a critical factor in its success and stable development. This process not only requires managers to be familiar with the latest methods and approaches to decision-making, but also requires a thorough analysis of the available information to provide an objective basis for selecting the most optimal solution. Management decisions made on the basis of a detailed study of factual data, the use of proven methods and the consideration of one's own experience in the field significantly increase the company's chances of success. The effectiveness of such decisions has a direct impact on the coherence and productivity of the company, transforming it into a well-established organisational mechanism capable of achieving set goals and adapting to changing external conditions. However, the key to improving management efficiency does not lie solely in the application of technical knowledge or data. It is also important for managers to understand the deeper meaning of the term "management decision". Such an understanding contributes to making decisions that are not only technically justified, but also morally justified, taking into account the broader context of the company's activities. The article examines the concept of "management decision", which is considered to be the most important element of any manager's activity. The authors reveal the essence of a managerial decision as a process and a result, which involves choosing an alternative course of action aimed at achieving the company's strategic goals. The subject of the study is a managerial decision as a process and result of a choice made by managers within their powers. The research methodology includes analysis of scientific literature, synthesis and generalisation of the results obtained, systematisation and classification of managerial decisions according to various criteria, as well as identification and description of the main criteria for making managerial decisions. The purpose of the publication is to reveal the concept of "managerial decision", to study its essence, classification and criteria for making it. The article defines the concept of "managerial decision" as a process and result of a choice between possible alternatives made by managers within the limits of their official powers and competences. This choice is aimed at achieving specific goals of the enterprise and solving emerging problems. It includes analysis of the existing situation, evaluation of possible options, their optimisation and economic justification, and finally, selection of the most effective way to achieve the goal. On the basis of generalisation of various approaches, a classification of managerial decisions by various criteria is proposed, which allows better understanding of their diversity and peculiarities. The article describes a set of criteria that serve as a basis for evaluation, development and adoption of managerial decisions. The paper emphasises the importance of a comprehensive approach to management decision-making, based on a thorough analysis of the situation, a balanced choice between alternatives and a clear definition of implementation mechanisms. The results of the study may be useful for executives at various levels, managers, and researchers studying the theory and practice of managerial decision-making.

ASSESSMENT OF INNOVATIVE-INVESTMENT POTENTIAL IN THE CONTEXT OF CREATING A SAFE ENVIRONMENT FOR THE IMPLEMENTATION OF PUBLIC-PRIVATE PARTNERSHIPS IN THE REGION

The main purpose of the article is to propose a theoretical and methodological approach to the assessment of the innovative-investment potential of a region for the implementation of public-private partnerships. The object of study is the innovative-investment potential of a particular region. To achieve the set goal, the scientific task is posed in the form of developing and implementing an approach to assess the level of innovative-investment potential in the region in order to identify prospects for the implementation of public-private partnerships. The research methodology involves the application of various methods, the key among which is the method of taxonomic analysis. The key components of innovative-investment potential and the indicators for which the assessment was conducted have been identified. Special attention is given to economic-financial indicators. The work of the taxonomic approach in the context of our research is described. The key indicators of assessment of innovative-investment potential for each city in the selected region have been calculated. Standardized values for each calculation result have been determined. A ranking of all cities according to their potential level was carried out, and it was determined which of them has the greatest security potential for the implementation of public-private partnerships. As a result, the obtained data showed the practical value of the proposed assessment method. The research has limitations in the form of taking into account the specifics and information of only one region of the country. Prospects for further research include expanding the regional aspect in conducting assessments.

Perspectives of using syngas in gas turbine plants

RELEVANCE. The insufficiently wide scope of gas turbine plants (GTP) is associated with the lack of widespread availability of gas pipelines supplying the main fuel – natural gas. Interest in alternative fuels and the search for the most suitable ones in order to switch from traditional energy sources has increased intensively over time. Currently, there are methods of gasification of solid fuels that expand not only the possibilities of using the fuel itself, but also pushing the boundaries of the applicability of GTP both in terms of production specialization and geographical location. Coal is the most affordable energy resource in the world, due to its prevalence, but its limited use in modern energy facilities is due to the worldwide policy of decarbonization of energy. Coal gasification makes it possible to increase energy characteristics and reduce emissions of harmful substances into the atmosphere when using coal. PURPOSE. Determination of the efficiency and expediency of using generator gas obtained from coal in gas turbine plant, as well as consideration of the possibility of its modernization. METHODS. To achieve set goal, an automated system of gas dynamic calculations of energy turbomachines (AS GDCET) will be used, which will calculate a mathematical model of a gas turbine installation and conduct numerical studies when characteristics change, as well as using a module for approximating the component composition of fuel. The research is carried out when the electric load of a gas turbine plant of the NK-16-18 ST type changes in the range from 15 to 18 MW. RESULTS. According to the results of the study, the dependences of the total hourly and specific fuel consumption, effective efficiency, temperature in the combustion chamber and at the outlet of the power turbine on changes in the electric load of the gas turbine installation were obtained. Having a lower calorific value, the expected synthesis gas reduces the electricalefficiency of the gas turbine engine, which is expressed in a decrease in efficiency by 3-4.5 %. At the same time, fuel consumption increases by about 4-5 times, which depends on the component composition of the fuel. At the same time, the temperature values at the exhaust of the gas turbine change by 26-37 °C. CONCLUSION. The use of synthesis gas as fuel for a gas turbine plant can provide sufficient efficiency in generating electric energy, but its use is rational only in situations of absence or unavailability of traditional gaseous fuels. The development of gasification technologies will increase the efficiency of use and reduce the cost of synthesis gas production. This will allow the introduction of gasification technologies at existing facilities and expand the scope of synthesis gas applications, which will ensure increased interest in this area among potential investors.

Development of a strategy for sustainable development of enterprises in conditions of uncertainty

In modern conditions, the development of socio-economic systems takes place under the influence of external and internal factors. In a world where constant changes occur, such characteristics of an object or system as stability and permanence become especially important. Due to the need to renew the national economy, an essential aspect of the functioning of enterprises at the current stage is their sustainable development, which must meet the needs of people at present and create a prosperous future for the next generations. Its components must be organically integrated into the strategic management of the enterprise. The purpose of this publication is to critically evaluate various theoretical and methodological approaches to the formation of sustainable development. Specifically, we aim to uncover the unique challenges and strategies involved in the sustainable development of business structures amidst the current socio-economic uncertainties. The article examines the essence of the formation of a strategy for the sustainable development of an enterprise. The essential content of the sustainable development of the economy within the framework of the "Goals of sustainable development" has been determined. Approaches to the study of interpretations of the concept of "sustainable development of the enterprise" are substantiated, determining the multifaceted nature of this concept and its complex nature. The experience of EU countries in the field of strategic management of sustainable business development is considered. The essence of the concepts of strategy, enterprise strategy, strategic planning, and strategy of sustainable development of the enterprise is defined. The elements of the strategy of sustainable development of the enterprise as a socio-ecological-economic system were studied. It is noted that enterprise strategies should be formed according to different principles based on strategic planning and management postulates. Conclusions. Strategy is the primary tool that allows an enterprise in an unstable external environment to determine the direction of activity and target orientations, develop a plan of measures to achieve the set goals and maintain the ability to maintain a high level of competitiveness and not lose parameters of sustainability. The symbiosis of strategic, innovative, and sustainability aspects of the enterprise's development will increase its social, environmental, and economic efficiency, thus ensuring a high level of competitiveness and survival of the enterprise in the long term. Keywords: sustainable development of the enterprise, sustainable development strategy, strategic planning, socio-ecological-economic system.

Active Learning and Bayesian Optimization: A Unified Perspective to Learn with a Goal

AbstractScience and Engineering applications are typically associated with expensive optimization problem to identify optimal design solutions and states of the system of interest. Bayesian optimization and active learning compute surrogate models through efficient adaptive sampling schemes to assist and accelerate this search task toward a given optimization goal. Both those methodologies are driven by specific infill/learning criteria which quantify the utility with respect to the set goal of evaluating the objective function for unknown combinations of optimization variables. While the two fields have seen an exponential growth in popularity in the past decades, their dualism and synergy have received relatively little attention to date. This paper discusses and formalizes the synergy between Bayesian optimization and active learning as symbiotic adaptive sampling methodologies driven by common principles. In particular, we demonstrate this unified perspective through the formalization of the analogy between the Bayesian infill criteria and active learning criteria as driving principles of both the goal-driven procedures. To support our original perspective, we propose a general classification of adaptive sampling techniques to highlight similarities and differences between the vast families of adaptive sampling, active learning, and Bayesian optimization. Accordingly, the synergy is demonstrated mapping the Bayesian infill criteria with the active learning criteria, and is formalized for searches informed by both a single information source and multiple levels of fidelity. In addition, we provide guidelines to apply those learning criteria investigating the performance of different Bayesian schemes for a variety of benchmark problems to highlight benefits and limitations over mathematical properties that characterize real-world applications.