The article is devoted to the analysis of the problem of trust in the institutions of socialization of children with disabilities. The role of such institutions of socialization of disabled children as family, education, healthcare, public organizations, and the media is analyzed. The analysis was based on the results of a sociological study conducted in May-June 2023 among family members raising disabled children (Moscow, St. Petersburg, Belgorod, Kursk). The study revealed significant differences in respondents\' assessments of their trust in socialization institutions. It has been established that the media has become an outsider of trust. In the course of the analysis, the authors concluded that it is necessary to apply an integrated approach to the activities of institutions for the socialization of children with disabilities, which should be based on interdepartmental interaction «family - NGOs - authorities - healthcare, education - media - business». The proposed approach, according to the authors, ensures the effectiveness, targeting and transparency of activities.

The article presents review summarizing contemporary National and foreign experience of implementing digital technologies under provision of services in health care. The systematic analysis of data from Scopus, eLibrary, PubMed and others electronic databases permitted to select 30 sources in Russian and English for 2016-2023. Modern digitization trends affect collaborations of companies where vectors of modernization become development of unified digital framework based on common state information system of health care; common educational platform for medical knowledge enriching by AI capabilities, through development of organizational activities and workflows based on digital technologies and services utilizing digital transformation. The deficiency of tools evaluating efficiency of reading software products and scalability of health digitization processes become problematic issues. As of today, diagnostic technologies using AI systems, technologies of lung cancer screening, examination methods of patients with post-traumatic deformations of cheekbone-orbital complex, monitoring of readings of devices with digital registration, further office consulting of various levels and application of AI in neurosurgery were described already. The article also considers issues of telemedicine consultations and development of modernized care models. The authors expect that digital ecosystem in development addressing issues of legal concept of management, financing and system of patient legal protection will do everything necessary to mitigate cyber incidents.

The article\'s main provisions are the development and application of a neural network method for helicopter turboshaft engine thermogas-dynamic parameter integrating signals. This allows you to effectively correct sensor data in real time, ensuring high accuracy and reliability of readings. A neural network has been developed that integrates closed loops for the helicopter turboshaft engine parameters, which are regulated based on the filtering method. This made achieving almost 100% (0.995 or 99.5%) accuracy possible and reduced the loss function to 0.005 (0.5%) after 280 training epochs. An algorithm has been developed for neural network training based on the errors in backpropagation for closed loops, integrating the helicopter turboshaft engine parameters regulated based on the filtering method. It combines increasing the validation set accuracy and controlling overfitting, considering error dynamics, which preserves the model generalization ability. The adaptive training rate improves adaptation to the data changes and training conditions, improving performance. It has been mathematically proven that the helicopter turboshaft engine parameters regulating neural network closed-loop integration using the filtering method, in comparison with traditional filters (median-recursive, recursive and median), significantly improve efficiency. Moreover, that enables reduction of the errors of the 1st and 2nd types: 2.11 times compared to the median-recursive filter, 2.89 times compared to the recursive filter, and 4.18 times compared to the median filter. The achieved results significantly increase the helicopter turboshaft engine sensor readings accuracy (up to 99.5%) and reliability, ensuring aircraft efficient and safe operations thanks to improved filtering methods and neural network data integration. These advances open up new prospects for the aviation industry, improving operational efficiency and overall helicopter flight safety through advanced data processing technologies.

Conventionally, the electromechanical system requires the installation of auxiliary displacement sensors and only the amount on the drive part and motion end, which increases volume, cost, and measurement error in the system. This paper presents an integrated measurement method with a sensing head, which takes the equal division characteristics of mechanical structures as part of the sensor, thus, the so-called self-sensing system. Moreover, the displacement is measured by counting the time pulses. The sensing head is integrated with the entire electromechanical system, including the driving, transmitting, and moving parts. Thus, the integration of the sensing part is greatly improved. Taking the rotary table as a special example, and the sensing head embedded into each part of the system, displacement information is obtained by the common processing system and fused by the adaptive weighted average method. The results of the experiment show that the fusion precision of each component is higher than only the motor position information as the feedback. The proposed method is a practical self-sensing technology with significant volume reduction and intelligent control benefits in the industry, especially suitable for extremely small and narrow spaces.

BACKGROUND: Achieving integration in medical curricula without redundancy in basic medical sciences disciplines is a substantial challenge. Introducing co-teaching in such curricula with active inter-disciplinary participation is believed to best utilize the teaching and learning time for instructors and students, to motivate the students, and to provide a more robust base for bridging the gap between basic and clinical medical sciences in medical schools. Additionally, including more than one student-centered activity in one session is expected to increase the students\' involvement and improve the retention of knowledge. Our study aims at minimizing redundancy and improving the students\' motivation in learning the topic \"insulin-glucose regulation\" during the Endocrine and Metabolism module taught to year three students at Galala University, Faculty of Medicine in Egypt.
METHODS: The authors designed a 3-hr co-teaching integrated session with 3 basic medical sciences aimed to explain the clinical terms including online accessed pre/post-tests, small student groups-created pre/post-session MCQ, with co-sharing of students in the introduction of scientific materials.
RESULTS: The students\' scores in the post-test showed that they gained more knowledge compared to before. Interestingly, there was only an improvement in the students\' performance in generating questions before and after the session, as well as in the integrated question in the end-of-semester exam, we suggest implementing this approach in other topics and modules in medical schools. It would also be favorable to follow up with the students taught using this approach and those taught differently to assess the effectiveness of this approach in a controlled manner.
CONCLUSIONS: Integrated sessions effectively increase student awareness of medical concepts and reduce redundancy in basic medical sciences. This approach exposes students to a more comprehensive understanding of the subject matter, improving their comprehension and retention. It is a valuable method for educators and instructors seeking to enhance their students\' learning experience in the field of medical sciences.

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BACKGROUND: The increasing migration of internationally educated nurses (IENs) from developing to developed countries highlights the importance of implementing integration strategies that facilitate their workplace transition, leading to improved job satisfaction and professional competence.
OBJECTIVE: The mixed-methods systematic review aimed to synthesise the current literature on factors influencing job satisfaction and professional competencies among IENs throughout their transition process, including the pre-migration, migration, and post-migration periods.
METHODS: This study conducted a mixed-methods systematic review from 2013 to 2023, using the CINAHL, Scopus, and PubMed databases and employing a Population, Interventions, Comparisons, Outcomes (PICO) framework. Quality assessment employed the Mixed Methods Appraisal Tool (MMAT), and data analysis followed a convergent parallel design. Data synthesis was presented narratively, and the literature review adhered to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines.
RESULTS: Out of 565 articles, eleven studies (eight qualitative, two quantitative, and one mixed-method) met the inclusion criteria. Three key themes that influenced job satisfaction and professional competencies among IENs were identified: pre-migration and pre-deployment demands, challenges in workplace integration, and post-migration career challenges and retention strategies.
CONCLUSIONS: The study primarily focused on IENs recruited from developing countries, potentially limiting the generalisability of the findings to IENs from other regions or countries. Furthermore, the inclusion of nurses from developed countries who also migrated was limited in the available studies, which further restricts the applicability of the research findings.
CONCLUSIONS: It is essential to reconsider the pre-migration language requirements and evaluate the feasibility of completing them during the integration period to enhance the job satisfaction and professional competencies of IENs. Additionally, key factors for improving job satisfaction among IENs include providing personalised support, addressing managerial barriers, facilitating career advancement, efficiently managing workloads, and promoting effective communication within the healthcare team.

BACKGROUND: The proposed concept of secure/insecure lifeattachment reflects the experience of the world and life as a good (or insecure/threatening) place to be. The present article describes the theoretical foundation, development, and validation of a revised measure that captures the phenomenon of secure/insecure life attachment. The revised scale consists of seven dimensions: (1) Coexistence, (2) Reliability, (3) Safetiness, (4) Integration, (5) Inclusion, (6) Participation, and (7) Deliberation.
METHODS: In three studies (N = 1,059), we examined the factor structure and the convergent and predictive validity of the Life Attachment Scale-Revised (LAS-R).
RESULTS: Our results support a seven-factor structure of the scale, reflecting the aforementioned dimensions. Furthermore, convergent and predictive validity were established through correlations with related concepts of life satisfaction, flourishing, openness to the future, and perceived stress.
CONCLUSIONS: We have devised and substantiated a scale adept at gauging dimensions of secure and insecure/disordered life attachment. Empirical evidence from statistical analyses supports the assumption that the LAS-R is psychometrically sound, establishing its reliability and validity as a dependable instrument. Thus, the scale has promising implications for developing the empirical base for research in many areas of psychology, sociology, and the social sciences.

This article describes constructing an embedded system for a painting art and style presentation platform, achieving the automatic integration of digital painting art with traditional art design. The frontend components are designed using the Bootstrap framework, with Django as the web development framework and TensorFlow architecture integrated into the code. Furthermore, the Inception module and residual connections are introduced to optimize the visual geometry group (VGG) network for recognizing and analyzing image texture features. Compared to other models, experimental results indicate that the proposed model demonstrates a 2.6% increase in image style classification accuracy, reaching 87.34% and 95.33% in architectural and landscape image classification, respectively. The system\'s operational outcomes reveal that the proposed platform alleviates the burden on the logical function modules of the system, enhances scalability, and promotes the automated fusion of digital painting art with traditional art design expression.

UNASSIGNED: In 2022, England embarked on an ambitious and innovative re-organisation to produce an integrated health and care system with a greater focus on improving population health. This study aimed to understand how nascent ICSs are developing and to identify the key challenges and enablers to integration.
UNASSIGNED: Four ICSs participated in the study between November 2021 and May 2022. Semi-structured interviews with system leaders (n = 67) from health, social and voluntary care as well as representatives of local communities were held. A thematic framework approach supported by Leutz\'s five laws of integration framework was used to analyse the data.
UNASSIGNED: The benefits of ICSs include enhancing the delivery of good quality care, improving population health and providing more person-centred care in the community. However, differences between health and social care such as accountability, organisational/professional cultures, risks of duplicating efforts, tensions over funding allocation, issues of data integration and struggles in engaging local communities threaten to hamper integration.
UNASSIGNED: Despite ICS\'s investing in the structural and relational components of integrated care, the unprecedented pressures on systems to reduce demand on primary and emergency care tackling elective backlogs may detract from a key goal of ICSs, improving population health and prevention.