Expert Assessment Research Articles

Multimodal classifier of medical risk based on a multielectrode bioimpedance converter

The purpose of the research. The aim of the study is Russian and foreign studies have shown that malignant breast tumors have significantly different impedance from normal tissues. However, bioimpedance analysis has limitations in resolution, as well as in the imperfection of bioimpedance models required to generate input vectors for machine learning systems.Methods. The presented study proposes a multimodal classifier, the raw data for which are obtained through an electrode matrix. It also has three channels for processing the results of bioimpedance analysis, with subsequent aggregation of their solutions. An impedance model of biomaterial is proposed, which allows forming descriptors for medical risk classifiers.Results. Hardware and software for bioimpedance studies have been developed, which include a data collection device for bioimpedance spectroscopy based on an electrode matrix, a device for communication with the object of study, and a device for bioimpedance spectroscopy using an electrode matrix. The software includes interface windows for setting up the bioimpedance research program and training and testing fully connected neural networks. An experimental study of the multimodal classifier on a physical model was conducted using inclusions of higher conductivity (tumor imitation) of various types and sizes in the conductivity range from 1.1 to 1.9 of the background. Based on the obtained images in the two-level neural network of the first channel, the integral risk of breast cancer was determined for all pixels of the image. Statistical studies (ROC analysis) showed sufficient sensitivity and specificity for the screening method - > 0.75. Conclusion. Thus, a new model of intelligent support for medical decision-making has been created, integrating the capabilities of bioimpedance spectroscopy, convolutional neural networks and expert assessment of images generated by bioimpedance mapping. However, current data confirming the possibility of separating benign and malignant breast tumors using bioimpedancemetry methods are very limited, which requires further research in this direction.

Capturing Differential Quality of Experimental Evidence in a Predictive Quantum-Mechanical Model for Respiratory Sensitization.

Asthma is of concern in occupational toxicology with significant public-health and economic costs. In the absence of benchmark in vivo and in vitro tests, the use of mechanistically sound in silico models is critical to inform hazard and to protect workers from exposure to potentially harmful substances. We recently reported on the computer-aided discovery and REdesign (CADRE) model for respiratory sensitization, which relies on a tiered structure of expert rules, molecular simulations, quantum-mechanics calculations and advanced statistics to accurately identify respiratory sensitizers from first principles. Here, we present an update to this model based on two years of testing in the pharmaceutical space, where we captured the heterogeneity of the underlying experimental evidence in two predictive tiers, thus allowing the practitioner to select an outcome based on their expert assessment of the data reliability and relevance. This user-based tuning of predictive models is critical for end points that lack consensus on what constitutes satisfactory evidence to support a decision in the handling of chemicals for occupational safety.

ASK HEART GAME CARD DEVELOPMENT TO PROVIDE AN UNDERSTANDING OF MARRIAGE READINESS IN EARLY ADULTHOOD

This research aims to provide an understanding of marriage readiness in early adulthood through the media of the Tanya Hati card game as an effort to fulfill one of the developmental tasks in early adulthood. Apart from that, this research was carried out as a form of optimizing the Guidance and Counseling program through the development of Guidance and Counseling media in the form of game cards. The research method used is “Research and Development” using the ADDIE model (analysis, design, development, implementation and evaluation). Data collection through observation, interviews and questionnaires. The research results show that the Tanya Hati card game media developed is very suitable for use with an average result of 85% from expert assessments. Based on limited trials on 8 students, the heart question card game media obtained a score of 84%. The research results show that the development of the Tanya Hati card game media is valid and effective as a medium that provides an understanding of marriage readiness in early adulthood.

Development of a Method for Evaluating H2-Filling Stations

To expedite the development of the infrastructural expansion for hydrogen applications, the research project “THEWA” was founded. Within this project, the development of hydrogen-refueling stations is being advanced so that the hydrogen strategy for mobility in Germany can move forward. One development point of the project is to develop an evaluation model that recommends a concept for hydrogen-refueling stations for initial individual situations. In this work, an evaluation method is developed that provides an appropriate recommendation. For this purpose, basics, such as the general structure of hydrogen-refueling stations, their classification into functional areas, and already-existing evaluation methods for multi-criteria decisions, are shown. The method for the evaluation of hydrogen-refueling stations will be developed in a component-based manner, for which a selection of influencing factors of hydrogen-refueling stations will be explained and categorized. With the help of an expert workshop, these are scaled so that the result is an evaluation method based on an expert assessment and the consideration of individual customer requirements. In addition, the method is implemented in a tool so that it can be used more easily.

Occupational and Hobby Exposures Associated with Myositis Phenotypes in a National Myositis Patient Registry.

To investigate occupational and hobby exposures to silica, solvents, and heavy metals and odds of idiopathic inflammatory myositis (IIM) phenotypes, dermatomyositis (DM) and polymyositis (PM) versus inclusion body myositis (IBM), lung disease plus fever or arthritis (LD+), and systemic autoimmune rheumatic disease-overlap myositis (OM). The sample included 1390 patients (598 DM, 409 PM, and 383 IBM) ages ≥18 years from a national registry. Of these, 218 (16%) were identified with LD+, i.e., self-reported lung disease with fever and/or arthritis, and 166 (12%) with OM. Questionnaire data on jobs, hobbies, and exposures before diagnosis were evaluated using a rules-based protocol and expert assessment of silica dust, solvents, and heavy metals exposure. We calculated adjusted odds ratios (OR) and 95% confidence intervals (CI) and explored joint effects with smoking. High silica exposure was associated with an increased odds of having DM (OR=2.02; 95%CI 1.18-3.46, compared to no exposure; p-trend=0.004), LD+ (1.75; 1.10-2.78; p-trend=0.005, versus no LD), and OM (2.07; 1.19-3.61; p-trend=0.020). Moderate to high heavy metals exposure was associated with greater odds of having LD+ (1.49; 1.00-2.14; p-trend=0.026) and OM (1.59; 0.99-2.55, p-trend=0.051). Greater odds of LD+ were seen among smokers with moderate to high silica exposure versus non-smokers with low or no exposure (high-certainty assessment, 2.53; 1.31-4.90; p-interaction=0.061). These findings, based on a systematic exposure assessment, suggest that occupational and hobby exposures to silica and heavy metals contribute to adult IIM phenotypes, including DM, OM, and LD+, a possible marker for anti-synthetase or other autoantibody-associated lung disease.

Development and application of a non-technical skills coaching intervention framework for surgeons: A pilot quality improvement initiative.

Non-technical skills (NTS) challenges experienced by surgeons may degrade performance, ultimately impacting the safety and quality of care delivered to patients. The objectives of this work were to develop a framework for NTS coaching for surgeons and implement a coaching program utilizing the developed NTS coaching framework. Leveraging adult learning and self-determination theories, a specialty-agnostic NTS coaching framework was developed for individual coaching sessions with robotic surgeons. The framework was used to deliver NTS coaching sessions to robotic surgeons. Surgeon's robotic procedures were recorded, and expert raters assessed their NTS using the Non-Technical Skills for Surgeons tool. Measures of surgeon satisfaction, learning outcomes, and performance improvement were determined. Cohen's d statistic was used to estimate the effect size of the coaching intervention. To pilot the program, ten robotic-assisted surgeries (five pre-coaching and five post-coaching) were observed from five practicing robotic surgeons who were recruited from a large academic healthcare system. Expert raters' assessment of surgeons' NTS revealed several exemplar and non-exemplar behaviors. Surgeons were satisfied with the coaching, rating its quality very highly on all NTS dimensions. On a Likert scale of 1 (strongly disagree) to 5 (strongly agree), surgeons had a stronger agreement that the coaching could improve their situation awareness (4.0±.5) and leadership (4.8±.2) skills compared to their decision making and communication (3.8±.7). From the post-coaching observations, coaching had medium-to-large effect on situation awareness (d = .65) and leadership (d = .41), small effect on communication and teamwork (d = .14), and no effect on decision-making. Overall, the coaching intervention had a medium effect on total NTS (d = .33). We presented a quality improvement initiative to enhance the NTS of surgeons by implementing a coaching program that leverages our developed NTS framework. Recognizing the importance of NTS in surgeries, our initiative shows a commitment to continuous improvement of patient safety and quality of care.

Implementing the “Belt and Road” Initiative in Central Asia in a Pandemic: A Regional Risk Assessment

The relevance of the study stems from the need to assess the impact of the “Belt and Road” Initiative on the economic and political situation of the Central Asian states. In this context, article aims to identify features of the Central Asian states that may, in the process of deepening regional cooperation with the People’s Republic of China, lead to a dependency on it. The following research methods were also used: qualitative and quantitative analysis of scientific sources and documents, analysis of statistical data, discourse analysis, intents analysis, comparative analysis, method of synthesis, deduction. The article presents the results of the survey, revealing not only the strengthening of China’s economic influence in the region, but also, according to some experts, the increasing political influence that is reflected in the public and political discourse of the region’s countries and entails an increase in anti-Chinese sentiment in the form of debt obligations of Central Asian states to Chinese banks, revealing that the coronavirus pandemic and the ensuing economic crisis showed the need to find new ways of economic development. It justifies the importance of building a new cooperation strategy that could maintain a certain balance between the world centers of power – China, the United States and Russia, taking into account the interface between the Eurasian Economic Union project and the “Belt and Road” Initiative. The articles are of practical value in terms of a current expert assessment of the “Belt and Road” Initiative’s impact on the geopolitical and geo-economic situation during COVID-19.

Ensuring the performance of external communications: An informal classification of target groups

The increasing influence of the investment community on business sustainability highlights the need for a compre hensive understanding and accurate segmentation of this audience. The research aims to identify consistent criteria for intra group differentiation in the perception of financial reporting information among members of various stakeholder groups in or der to improve the performance of external communications management. Methodologically, the study rests upon stakeholder theory, which is supported by expert assessments, structural-logical analysis, and multidimensional discriminant analysis. The study draws on authentic data of a survey on the quality of corporate reporting information conducted in the fourth quarter of 2020 among 52 representatives of the Russian business. The research identifies motivationally-rooted statistically significant discrepancies in the probability of correlating some survey participants with their functional group formed on a formal basis. We discuss the relevant criteria for an informal division of respondents into groups based on subjective judgments about qualitative characteristics of corporate financial reports. These criteria include variations in estimates of complexity of reporting standards and functionality of cost indicators based on the concept of fair market value. The revealed criteria for motivational and func tional identification within stable subgroups of financial statement users formed within functional groups represents the scien tific novelty of this study. The results contribute to a deeper understanding of the relevant criteria for the group structure of the investment community, which constitutes the target audience for corporate reporting. These findings can be utilized to refine the formal classification of users of reporting information, as well as to adjust other components of corporate management systems with the aim of enhancing the effectiveness of external communications.

Pengembangan Media Video Animasi Pembelajaran Berbasis Pendekatan Inkuiri pada Mata Pelajaran Bahasa Inggris Kelas VIII SMP

The development of learning video media is carried out as an effort to solve student learning problems. This Learning Media can be used as an alternative to reduce problems in learning. This study aims to produce products in English class VIII subjects and determine the quality of validity and practicality of the products developed so that they are feasible to use. This study is a type of Research and Development (R&D) development or by using a 4-D development model (four-D model). This Model consists of 4 stages of development include Define, Design, Develop, Disseminate. The product validity test was conducted by 3 validators, namely 2 media validators and 1 material validator. Practicalities test was conducted on 31 students of Class VIII SMP Negeri 1 Junjung Sirih. The results of this study explain that the average percentage of media validators I and II respectively is 97.5% and 96.25% with the category of "Very Valid". From the assessment of material experts, an average percentage of 94.54% was obtained with the category of "Very Valid". For the assessment of practicality from students, a percentage of 93.22% was obtained with the product category "Very Practical" Based on these calculations, it can be concluded that the learning animation video media based on the inquiry approach in English subjects developed "Very Feasible" is used in learning

Психологические основы системы отбора граждан поступивших на обучение в полицейскую академию Никарагуа

The problem of selecting citizens for admission to the police service is being worked out in almost all countries of the world. The process of selection for the internal affairs bodies of the Russian Federation is a fairly widely developed area of ​​science. In Latin American countries, these studies are at the stage of active development. The subject of this article is the optimization of the system of selection of citizens admitted to training at the Nicaraguan Police Academy. The purpose of the study is to develop a program for the psychological selection of citizens for training at the Nicaraguan Police Academy. To achieve the goal of the study, the expert assessment method was used. Mathematical statistics, quantitative and qualitative analysis were used in the processing of empirical data. 30 psychologists of the National Police of Nicaragua (73% were women and 27% were men) acted as respondents in the expert survey. It is shown that the selection of citizens for the National Police of Nicaragua should be optimized in the direction of developing the psychological part of this process. Optimization should be carried out by updating psychometric tests, including methods for assessing the mental health of candidates; inclusion in the interview protocol of parameters for assessing the psychiatric history in the family environment, as well as organizing additional training and feedback on the results of their work for psychologists upon hiring.

Machine learning models in evaluating the malignancy risk of ovarian tumors: a comparative study

ObjectivesThe study aimed to compare the diagnostic efficacy of the machine learning models with expert subjective assessment (SA) in assessing the malignancy risk of ovarian tumors using transvaginal ultrasound (TVUS).MethodsThe retrospective single-center diagnostic study included 1555 consecutive patients from January 2019 to May 2021. Using this dataset, Residual Network(ResNet), Densely Connected Convolutional Network(DenseNet), Vision Transformer(ViT), and Swin Transformer models were established and evaluated separately or combined with Cancer antigen 125 (CA 125). The diagnostic performance was then compared with SA.ResultsOf the 1555 patients, 76.9% were benign, while 23.1% were malignant (including borderline). When differentiating the malignant from ovarian tumors, the SA had an AUC of 0.97 (95% CI, 0.93–0.99), sensitivity of 87.2%, and specificity of 98.4%. Except for Vision Transformer, other machine learning models had diagnostic performance comparable to that of the expert. The DenseNet model had an AUC of 0.91 (95% CI, 0.86–0.95), sensitivity of 84.6%, and specificity of 95.1%. The ResNet50 model had an AUC of 0.91 (0.85–0.95). The Swin Transformer model had an AUC of 0.92 (0.87–0.96), sensitivity of 87.2%, and specificity of 94.3%. There was a statistically significant difference between the Vision Transformer and SA, and between the Vision Transformer and Swin Transformer models (AUC: 0.87 vs. 0.97, P = 0.01; AUC: 0.87 vs. 0.92, P = 0.04). Adding CA125 did not improve the diagnostic performance of the models in distinguishing benign and malignant ovarian tumors.ConclusionThe deep learning model of TVUS can be used in ovarian cancer evaluation, and its diagnostic performance is comparable to that of expert assessment.

Формирование профессионально-важных качеств сотрудников ОВД посредством проектной методики изучения дисциплины «Профессиональная этика и служебный этикет»

The article is devoted to the study of the formation of professionally important qualities (hereinafter referred to as PIC) of students at the Barnaul Law Institute of the Ministry of Internal Affairs of Russia, ensuring their moral and psychological stability (honesty, discipline, responsibility, justice, etc.). An analysis of expert assessments of the formation of professionally important qualities grouped into four clusters "Moral stability", "Sustainability of working capacity", "Self-organization in professional activity", "Extroversion, social activity" was conducted on a representative sample (over 600 respondents). A comparative analysis by forms of study (full-time, part-time, faculty of professional retraining - short-term full-time programs) showed that students of the correspondence form of study included in practical professional activity, assess the formation of "professionally important qualities of students" significantly higher than students of other forms, with the exception of the cluster "Self-organization in professional activity". A comparative analysis of expert assessments of full-time students of the 2nd and 4th years demonstrated positive dynamics in three clusters, proving the overall effectiveness of the educational work of the university. Stagnation of indicators is observed for the factor "sustainability of working capacity". The results of the study formed the basis for developing the content of the course "Professional Ethics and Service Etiquette". The experience of implementing the project method as a technology for developing "professionally important qualities of students" is substantiated and described

THE LINK BETWEEN PERSONAL RESOURCES AND SUCCESS INDICATORS OF FOOTBALL PLAYERS

In the 2021/22 season we diagnosed 64 players, aged 17. The criteria characterising the success of young football players were the expert assessments of the coach and the level at which each of the players found themselves after graduating from the football academy. The main goal of the study was to identify those characteristics of personal potential that would significantly correlate with the identified criteria for the success of football players. The results obtained expand the theoretical understanding of personal predictors of performance in football and can be used in designing a psychological training programme for young players.

THE GEOPOLITICAL AWAKENING OF THE EUROPEAN UNION AGAINST THE BACKDROP OF THE RUSSIAN-UKRAINIAN WAR

The article analyses the impact of the Russian-Ukrainian war on the geopolitical transformation of the European Union (EU). It examines the key changes in the EU's security, energy and international relations strategy, as well as the development of its strategic autonomy and role in supporting Ukraine. The study is based on the analysis of scientific sources and political articles related to the EU's foreign policy and security mechanisms. A comparative analysis of the EU's decisions on sanctions, energy security and military assistance to Ukraine is used. Expert assessments of the geopolitical situation and economic consequences of the war are also taken into account. The article contributes to understanding the role of the Russian-Ukrainian war as a catalyst for the EU's political and strategic awakening. In particular, it highlights the development of the EU's strategic autonomy in response to its energy dependence on Russia and the growth of defence cooperation between member states. The author also explores how the war has contributed to the consolidation of European identity and the strengthening of the desire for global leadership in the face of current international challenges. The author notes that the Russian-Ukrainian war has accelerated changes in the EU's approach to foreign and security policy. The EU has strengthened its strategic autonomy, increased economic sanctions against Russia and mobilised resources to support Ukraine. At the same time, the war has shown the need to develop energy resources independent of external suppliers and to increase the EU's internal defence capabilities. Ukraine's integration into the European space has become an important strategic direction of the EU's policy. An important aspect has been the strengthening of European defence cooperation, which demonstrates the EU's desire for greater independence in security matters. Ukraine's integration into the European space is becoming one of the key directions of the EU's foreign policy, which may accelerate the process of Ukraine's accession to the Union in the future. The author also draws attention to the fact that the issue of strengthening the EU's defence capabilities affects the problem of the international security system, which today, as a result of the Russian-Ukrainian war, is undergoing the greatest transformations since the Second World War.

Modelling project activities for future teachers within the innovative infrastructure of pedagogical universities: integrative solutions

Introduction. In the quest to enhance the training of future teachers, particular emphasis is placed on identifying the educational potential of new learning environments within pedagogical universities under the Ministry of Education of Russia. These institutions have undergone infrastructure updates as part of federal programs designed to support education. Aim. The aim of this study is to develop an original model for organising the project activities of student teachers, taking into account the contemporary infrastructural capabilities of pedagogical universities under the Ministry of Education of Russia. Methodology, methods and techniques. The methodological foundation of this research is grounded in the principles of community development pedagogy and the design of evolving educational systems. The integration of integrative, synergetic, environmental, and system-activity approaches facilitated the identification and development of components within the author’s model for organising project activities for future teachers in the context of pedagogical technoparks, such as “Quantorium”, and technoparks focused on universal pedagogical competencies in higher education institutions under the Ministry of Education of the Russian Federation. The validation of the developed model was conducted through expert assessments. Results. The authors developed the model for organising project activities for future teachers within the innovative infrastructure of pedagogical universities. The main components of the model are outlined, including integrative objectives and anticipated outcomes of students’ project activities, interdisciplinary project content, and a technological component that facilitates the transformation of interdisciplinary project content into personally meaningful experiences through the technology of collaborative distributed project activities. The study identifies and justifies the conditions necessary for the effective implementation of the developed model, focusing on the management of processes, resources, and participants involved in interdisciplinary project activities. Scientific novelty. Integrative processes, within the context of this study, are regarded as a pedagogical phenomenon that reflects the interconnections among the objects, processes, and subjects involved in project activities. Practical significance. The research materials can be utilised in the development of programmes aimed at enhancing the infrastructure of pedagogical universities. They can also assist in the refinement of educational curricula for training teaching staff, particularly in disciplines that prepare future educators to effectively organise project-based activities within contemporary educational environments.

Some Similarity Measures on Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets and Their Applications in Medical Diagnosis

In recent years, the application of fuzzy sets has gained significant attraction in various fields, including medical diagnosis, due to their ability to manage uncertainties and imprecise information. This paper focuses on the comparative analysis of similarity measures within the realm of Generalized Interval-Valued Intuitionistic Fuzzy Soft Expert Sets (GIVIFSESs) and explores their application in the domain of medical diagnosis. Most of the important topics in fuzzy set theory are the similarity measures between the generalizations of fuzzy set theory. Similarity measures are a crucial tool which was used in data science. In this process, we measure how much the data sets are related and comparable. Measures of similarity give a numerical value that reveals the strength of associations between sets or sets of variables. In this paper, we initiate a new concept of generalized interval-valued intuitionistic fuzzy soft expert sets and their fundamental operations. This new concept is more flexible than existing concepts based on their algebraic definition. Unlike fuzzy sets, the concept of generalized interval-valued intuitionistic fuzzy soft expert sets is characterized by a degree of membership and degree of non-membership along with fuzzy set theory. The proposed methodology is validated through an empirical application in medical diagnosis, where (GIV-IFSESs) are employed to model the uncertainty and imprecision inherent in expert assessments. The selected similarity measures are then applied to quantify the degree of resemblance between different medical cases, facilitating a more informed decision-making process. We introduce several types of similarity measures on generalized interval-valued intuitionistic fuzzy soft expert sets. We also discuss a similarity measure of Type-I, Type-II, and Type-III for two (GIVIFSESs) and its application in medical diagnosis problems.

Risks impeding sustainable energy transition related to metals mining

Sustainable energy transition is essential for global climate change mitigation, requiring substantial amounts of metals to support clean energy technologies. However, a key challenge is ensuring the stable metals mining operations while achieving economic viability, social benefits, and environmental responsibilities. Through a comprehensive literature review, this study identifies 30 risks impeding sustainable energy transition related to metals mining at two levels: the micro level risk and the macro level risk. A cross-evaluation method, by considering literature analysis and expert assessments, is proposed to develop a framework of 15 key risks. The findings reveal inappropriate classification in current literature, as the causes, consequences, and certain objective facts of risk events have been categorized as risks by academics. Additionally, there exist conflicting opinions between academics and practitioners on the key risks. Based on the findings, a multi-stakeholder governance approach is proposed to effectively mitigate these key risks and ensure the sustainable energy transition.

СИСТЕМАТИЗАЦИЯ СОВРЕМЕННОГО МЯСОРЕЗАТЕЛЬНОГО ОБОРУДОВАНИЯ И ОЦЕНКА НЕИСПРАВНОСТЕЙ ПРОМЫШЛЕННЫХ ВОЛЧКОВ

Based on the analysis of the designs of modern meat cutting equipment used by processing plants, their great diversity has been established, justified by the design and technological requirements for this type of machines. (Objective of the study) To establish the features characterizing industrial grinders, compile their classification, determine the main faults and the degree of their influence on the operability of industrial grinders. (Materials and methods) Design and technological requirements for industrial grinders have been determined. An analysis has been carried out and the main causes of malfunctions of industrial grinders have been identified. Structural parameters characterizing the technical condition of industrial grinders have been established. A priori ranking technique has been selected based on an expert assessment by specialists of the main faults of industrial grinder units. (Results and discussion) The features characterizing industrial grinders have been established, based on this, their classification has been compiled. A structural diagram of the "Industrial grinder" technical system is presented. The main faults and the degree of their influence on the loss of operability of the devices under consideration during operation have been determined. The entire set of industrial grinding machine malfunctions is grouped relative to three subsystems: cutting, feeding and driving. During the malfunction analysis, 10 most important of them were identified, affecting the grinder operability and its technological process performance. (Conclusions) The entire set of presented industrial grinding machine malfunctions was ranked by weight. A 10-point system was used for their assessment and points were assigned in accordance with complexity within the range from 1 to 10. The first group included malfunctions with ranks higher than 238 (malfunctions with a higher probability of occurrence). The second group included malfunctions with a rank value lower than 150 (malfunctions with a lower probability of occurrence). It was found that the maximum weight has malfunctions designated as n6, n10, n9. They characterize the technical condition of the cutting and feeding subsystems. Priority for maintenance and control should be given to these subsystems

АБИЛИТАЦИОННЫЙ ПРОГНОЗ НЕДОНОШЕННЫХ НОВОРОЖДЕННЫХ ДЕТЕЙ

Background. Expert rehabilitation assessment of premature infants in the neonatal period and the first months of life presents great difficulties; from this standpoint, it is advisable to introduce the term “habilitation prognosis” (HP) for the category of premature infants. The purpose of the study is to substantiate and develop indicators of habilitation prognosis and habilitation potential of premature infants. Materials and methods. A prospective study was performed. 212 premature newborns were included (n=212), whose data were statistically processed. Two groups were formed: 1st group of medical habilitation MH(+) n=89 patients for whom MH measures were carried out in full in accordance with the main directions of the developed methodology. The other part of the children made up the 2nd group of MH(-) n=123 patients for whom MH was not performed in accordance with the developed methodology: due to parental disagreement, or the impossibility of systematic work, or MH was not performed in full. The post-conceptual age of children at which medical habilitation of premature infants began ranged from 32 weeks to 3 months. Results. A quantitative integrated indicator of habilitation potential for premature infants HPtP (in the range of values from 7 to 35 points) was developed based on the qualitative characteristics of the rehabilitation prognosis (favorable, doubtful, unfavorable). ROC analysis was performed. It has been established that the optimal separation points are: 11 (area under the ROC curve (AUC) AUC=0.8613 95CI [0.8101-0.9124]) and, accordingly, the boundary for establishing a favorable HPtP from 7 to 11 (out of 35 maximum possible) , p<0.001, and 16 (AUC=0.998 0.8613; 95% CI [0.8101-0.9124]) with sensitivity indicators of 0.9716312 (97.2%), specificity 0.9859155 (98.6%), and, accordingly, the limit for establishing unfavorable HPtP from 17 up to 35 points, p<0.001. Conclusion. A quantitative indicator of habilitation potential for premature infants (HPtP) has been developed. For the first time, the term “habilitation prognosis for premature infants” (HPrP), referring to the possibility of realizing the habilitation potential of premature infants under the full application of medical habilitation methods in a certain premature infant was introduced.

Enhancing teaching materials development course with the ICARE learning model in e-learning

Using e-learning in higher education has many important benefits and advantages in todays world of education. Therefore, this research aims to develop e-learning based on the introduction, connection, application, reflection, extend (ICARE) learning model for developing teaching materials courses in the Faculty of Education, Universitas Pendidikan Ganesha. The Hannafin and Peck development model was adopted as a foundational method, and the digital content developed was subjected to formative evaluation methods, including i) expert validation, ii) individual assessment, and iii) small group evaluation. To ascertain the quality of the developed content, the research engaged 3 expert evaluators, each specializing in media, instructional design, and content. Concurrently, individual evaluation was carried out with 3 students, followed by a small group evaluation involving 9 additional students. Data collection techniques involved both observational measures and questionnaire-based inquiries. The expert assessment showed that the design, media, and content dimensions all fell within the "very good" category. Student reactions, as measured through both individual and small group evaluations, consistently aligned with the "very good" category. Therefore, the attractiveness and practicality of electronic learning (e-learning) fell under the "very good" classification, due to the implementation of the ICARE learning model as the foundational design principle.