Individual Characteristics Research Articles

Evaluation of the effectiveness of a diversity and inclusion committee on a psychologically informed planned environment in a UK prison

Purpose Psychologically Informed Planned Environments (PIPEs) are designed to support individuals to develop positive relationships. This can be achieved through social activities and engagement with committees. Developing understanding of diversity and inclusion (D&I) continues to be an area of need in criminal justice. A custodial PIPE therefore developed a D&I committee, which included the planning and delivery of community events. This study aims to explore the effectiveness of the committee and events in increasing understanding of protected characteristics, enabling individuals to raise D&I-related issues, developing positive relationships and increasing feelings of safety. Design/methodology/approach Eight participants residing on a PIPE engaged in semi-structured interviews to explore their experience of the D&I committee and events. Thematic analysis was used to explore the responses and to identify common themes within the data. Findings Four themes were identified: “you’re in a safe environment here”, connectedness, opportunities to learn and grow and “it could be better”. The research indicated that the D&I committee and events support several of the enabling environments standards and provide prisoners with an opportunity to build on their strengths and capabilities, in line with the Good Lives Model (Ward, 2002; Ward and Gannon, 2006), which underpins the ethos of PIPEs (NOMS and DoH, 2012; HMPPS and NHS, 2023). Practical implications There is scope for similar committees to be implemented in other psychologically informed environments, which could potentially be extended to other therapeutic environments and “standard wings” within prisons. However, future research should consider the influence of prisoners’ individual characteristics on their experience of such committees and events. Originality/value PIPEs provide a unique environment in which various committees can be implemented. A D&I committee has provided the space and opportunity for staff and prisoners to develop their knowledge and understanding and to build positive relationships. This research has evaluated the effectiveness of this and aims to promote the use of such committees in other services.

Emerging socioeconomic correlates of loneliness. Evidence from the Barcelona Health Survey 2021

Abstract Purpose Recent evidence shows that loneliness is associated with socioeconomic factors. However, studies often focus on traditional socioeconomic indicators (income, occupation, educational level) only, disregarding other important socioeconomic determinants, such as job insecurity, housing conditions or material deprivation. Therefore, we analyse the association of a broad range of socioeconomic indicators with loneliness. Moreover, we investigate potential age and gender differences in this relationship. Methods We used cross-sectional data from the Barcelona Health Survey 2021, representative of the population of Barcelona (Spain). Individuals over the age of 14 were selected (n = 3,337). The outcome was a loneliness score based on 4 items of the UCLA scale. Loneliness was regressed on a series of sociodemographic and emerging socioeconomic correlates. Linear regression models were fitted, and potential age and gender moderation effects were tested by means of two-way interactions. Results Job insecurity and precarity-related factors, such as having a temporary job or working without a contract, material deprivation and financial difficulties, as well as poor housing conditions and facing housing insecurity were associated with increased loneliness levels. While the association between loneliness and precarity-related factors is stronger among younger individuals, material deprivation is associated with increased loneliness among older workers and women. Conclusion Beyond sociodemographic individual characteristics, socioeconomic factors are strongly associated with loneliness levels in the population. Findings support the relevance of broadening the scope of socioeconomic indicators, assessing both material conditions as well as perceived insecurity.

The Effects of High-Intensity Interval Training with Different Duration on Fibrinogen and Plasma Viscosity in Sedentary Male College Students

Background: There have been few investigations into the impact of high-intensity interval training on blood rheology. Objectives: This study aimed to evaluate how high-intensity interval training conducted with different duration affects fibrinogen and plasma viscosity in sedentary young college men. Methods: For this study, 36 healthy male participants were selected and grouped based on their individual characteristics. The groups included a control group (n = 9), a 45-second training group (tr-45; n = 9), a 30-second training group (tr-30; n = 9), and a 15-second training group (tr-15; n = 9). The training regimen comprised six sessions over two weeks, with varying sets (4, 5, 6, 6, 7, 4 respectively) and durations of 15, 30, and 45 seconds for different groups. There was a fixed 4-minute rest interval between each set, with a consistent load of 0.6 on the Wingate cycle ergometer. Blood samples were collected 48 hours before and after the final session to analyze fibrinogen and plasma viscosity levels. Results: There were no significant differences between groups in plasma fibrinogen levels (F3, 32 = 2.303, P = 0.96). However, post-test analysis revealed a significant decrease in plasma fibrinogen in the tr-45 group (P = 0.027) compared to pre-test levels. Plasma viscosity did not significantly change between groups (F3, 32 = 0.651, P = 0.058), but there was a significant interaction between time and group (F3, 40 = 4.43, P = 0.009). Post-test analysis showed a significant decrease in plasma viscosity in the tr-45 (P = 0.010), tr-30 (P = 0.002), and tr-15 (P = 0.003) groups, while it significantly increased in the control group (P = 0.004) compared to pre-test levels. Conclusions: The findings suggest that high-intensity interval training can effectively decrease blood rheology and factors such as fibrinogen and plasma viscosity, with the 45-second HIIT being more efficient. Therefore, incorporating this training into Physical Activity Programs could be beneficial for inactive men.

Review of landslide inventories for Nepal between 2010 and 2021 reveals data gaps in global landslide hotspot

AbstractA review of landslide inventories provides an essential assessment of the state of knowledge around landslide hazard and can guide the focus of future studies. This is especially true in Nepal, which is highly prone to landslides, but lacks a comprehensive overview of landslide occurrence nationally. Here, we compile a database of 117 landslide inventories for Nepal released between 2010 and 2021. We review how these existing inventories shape our understanding of landsliding in Nepal and discuss how future research efforts could mitigate current challenges. We find that 40% of the country was only manually mapped once across the study period, and, crucially, these areas did not always correspond with areas of low landslide susceptibility. Instead, existing landslide inventories typically focus on specific areas, such as the region affected by the 2015 Gorkha Earthquake and major highway corridors. We also extrapolated the individual inventory characteristics from within this unique database to infer a national-scale areal density of 0.05 landslides per km2, equating to 6000 landslides across the country. This extrapolated value provides a baseline for future national-scale studies, especially for inventories created through automated mapping approaches. Our review highlights the importance of expanding the footprint of landslide inventories in Nepal to include regions with low mapping coverage and the need for inventories to be openly available, with clear protocols to enable inter-comparison. Whilst our review has focused on Nepal, these findings are likely to be relevant in other landslide-prone countries and our recommendations are intended to be applicable elsewhere.

Hyperspectral Imaging Combined with Deep Learning for the Early Detection of Strawberry Leaf Gray Mold Disease

The presence of gray mold can seriously affect the yield and quality of strawberries. Due to their susceptibility and the rapid spread of this disease, it is important to develop early, accurate, rapid, and non-destructive disease identification strategies. In this study, the early detection of strawberry leaf diseases was performed using hyperspectral imaging combining multi-dimensional features like spectral fingerprints and vegetation indices. Firstly, hyperspectral images of healthy and early affected leaves (24 h) were acquired using a hyperspectral imaging system. Then, spectral reflectance (616) and vegetation index (40) were extracted. Next, the CARS algorithm was used to extract spectral fingerprint features (17). Pearson correlation analysis combined with the SPA method was used to select five significant vegetation indices. Finally, we used five deep learning methods (LSTMs, CNNs, BPFs, and KNNs) to build disease detection models for strawberries based on individual and fusion characteristics. The results showed that the accuracy of the recognition model based on fused features ranged from 88.9% to 96.6%. The CNN recognition model based on fused features performed best, with a recognition accuracy of 96.6%. Overall, the fused feature-based model can reduce the dimensionality of the classification data and effectively improve the predicting accuracy and precision of the classification algorithm.

Student behavior at university: The development and validation of a 10-dimensional scale.

This study proposes the multidimensional concept of 'student behavior at university' and methodology for its quantitative investigation. Unlike previous concepts related to aspects of the student experience, the idea of student behavior considers the combinations and interrelations of individual and environmental characteristics affecting student experience and outcomes. It provides a new lens for viewing student experience at university, highlighting the multifacetedness of this phenomenon and the diversity of possible patterns of student behavior. Based on the conceptual model, a ten-dimensional scale measuring student behavior was developed and validated through mixed-method research with an exploratory sequential design. The following dimensions of student behavior were identified: 1) interaction with course content in class; 2) persistence; 3) self-learning; 4) irresponsible learning behavior; 5) active learning; 6) friendship; 7) study collaboration; 8) obedience; 9) creating a positive self-image; and 10) extracurricular involvement. To develop a survey instrument, we utilized semistructured in-depth interviews with Russian students (n = 119). In the quantitative phase of the study, based on the survey (n = 1,253) carried out at seven highly selective Russian universities, we tested the reliability and validity of the ten-dimensional scale. To test construct-related validity, we utilized the self-determination theory developed by Ryan and Deci and a short version of the Academic Motivation Scale developed by Gordeeva, Sychev, and Osin for the Russian educational context. Our findings are in line with assumptions of self-determination theory and the results of previous studies and can be considered evidence of construct validity. The directions for further development of the methodological approach and its practical implications are discussed.

Research progress of three-dimensional printed customized prosthesis and its application in acetabular reconstruction of hip revision surgery

To review research progress on the design, manufacturing, and clinical application of three-dimensional (3D) printed customized prosthesis in acetabular reconstruction of hip revision surgery. The related research literature on 3D printed customized prosthesis and its application in acetabular reconstruction of hip revision surgery was searched by key words of "3D printed customized prosthesis", "revision hip arthroplasty", "acetabular bone defect", and "acetabular reconstruction" between January 2013 and May 2024 in Chinese and English databases, such as CNKI, Wanfang database, PubMed, etc. A total of 34 271 articles were included. After reading the literature titles, abstracts, or full texts, the literature of unrelated, repetitive, low-quality, and low evidence level was screened out, and a total of 48 articles were finally included for analysis and summary. The bone growth and mechanical properties of 3D printed customized prosthesis materials are better than those of non-3D printed customized prosthesis, which further solves the problem of elastic modulus mismatch between the implant and natural bone caused by "stress shielding"; the porous structure and antibacterial coating on the surface of 3D printed customized prosthesis have good anti-bacterial effect. 3D printed customized prosthesis can perfectly match the patient's individual acetabular anatomical characteristics and defect type, thus improving the accuracy of acetabular reconstruction and reducing the surgical time and trauma. 3D printed customized prosthesis can be used for precise and efficient individualized acetabular reconstruction in hip revision surgery with good early- and mid-term effectiveness. More optimized production technics and procedures need to be developed to improve the efficiency of clinical application and long-term effectiveness.

Exploring the relationship between proactive personality, individual innovation, and mental health in university students.

The aim of this study is to determine the effects of proactive personality and individual innovation characteristics of university students on their mental health together with their socio-demographic characteristics. This cross-sectional study was conducted among students of Yozgat Bozok University in 2022. Data was collected using a sociodemographic information form, Individual Innovation Scale (IIS), Proactive Personality Scale (PPS), and the Depression-Anxiety-Stress Scale (DASS-21). The questionnaire forms were presented to students online through Google Forms. Data were analyzed by t-test, ANOVA, correlation and multinomial logistic regression (MLR). In this study, the mean scores of the anxiety, depression and stress subscales of DASS were found to be 6.0 ± 3.7, 6.8 ± 4.4 and 7.4 ± 3.8, respectively. The percentage of students showing moderate levels of anxiety, depression, and stress symptoms were 22.2%, 32.0%, and 15.1%, respectively, while those with high or very high levels of symptoms were 31.5%, 17.0%, and 9.8%, respectively. This study provides evidence that proactive personality, individual innovativeness traits, age, and familial characteristics may not significantly influence anxiety, depression, or stress in college students. The probability of students showing moderate and high levels of mental health symptoms was found to be associated with being female and having poor health status. Anxiety was found to be the most common mental health problem among university students, followed by depression and stress. No relationship was found between students' proactive personality, individual innovation traits, and their mental health.

Analysis of the matching effectiveness of vocational training for the unemployed: Evidence from the Republic of Korea

The Republic of Korea is in urgent need of vocational training to mitigate high levels of skill mismatch. This article studies the largely unexplored impact of vocational training on skill mismatch using administrative vocational training data (HRD‐Net, 2016‐19). We consider skill‐matched employment rates (as opposed to the conventional employment rate), applying a fixed effects model to analyse their determinants. Our analysis of training course and individual characteristics as major variables indicates that training time has a significantly greater positive effect on skill‐matched employment rates than on the conventional employment rate, but that the opposite is true of individual characteristics.

Understanding the dynamics of household enterprises in Egypt: Birth, death, growth and transformation

Despite the importance of household enterprises in employment in developing economies, little is known about their creation, survival and growth. This article examines the dynamics of household enterprises, using panel data for the period 1998–2018 in Egypt. The analysis explores the individual, household and enterprise characteristics that contribute to these dynamics. The findings show that high rates of enterprise creation and closure in the household enterprise sector drive employment, more so than dynamics of growth in existing enterprises. Household enterprises may be a fallback or survival strategy for less educated and less privileged workers, but may also provide an opportunity for accumulating wealth.

Determinants of Work Fatigue in Inpatient Nurses at RSI Siti Hajar Sidoarjo

Introduction: Nurses are an important part of patient care so they are often required to provide optimal service which sometimes causes fatigue. With different individual characteristics of each worker such as age and physical condition of workers and job characteristics such as length of service and duration of work, it is possible to experience fatigue at different levels of fatigue. Objective: To determine the relationship between age, work period, and work shifts with work fatigue in inpatient nurses at RSI Siti Hajar Sidoarjo and identify the relationship between age with work fatigue, work period with work fatigue, work shifts with work fatigue in inpatient nurses at RSI Siti Hajar Sidoarjo. Method: This type of research is quantitative with random sampling technique. Data collectin was carried out with IFRC (Industrial Fatigue Research Committee) questionnaire instrument on 125 inpatient nurses at RSI Siti Hajar Sidoarjo. The bivariate analysis process is carried out by testing the data with the SPSS program using the Spearman Rank Correlation test. Result: The majority of inpatient nurses who have the potential to work fatigue are ?35 years old, had worked for ?5 years, working on the morning shift, experienced low fatigue and the majority of nurses felt thirsty, wanted to lay down after work, often yawned, sleepy, and tired all over. Based on the hypothesis test, between age and fatigue was obtained sig. 0.002 < 0.05, between tenure and fatigue obtained sig. 0.001 < 0.05, and between work shifts and work fatigue obtained sig. 0.032 < 0.05. Conclusion: There is a relationship between age, length of service, work shifts with work fatigue in inpatient nurses at RSI Siti Hajar Sidoarjo.

Impact of Individual Characteristics on Hospital Outcomes in Exacerbated COPD in a Biomass-Exposed Turkish Population

Background: Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality globally, and factors such as biomass exposure, demographic characteristics, and comorbidities significantly influence patient outcomes during exacerbations. Aim: This study aims to clarify the impact of patient characteristics on key hospital outcomes, including ICU admissions, hospital length of stay, and in-hospital mortality, focusing on the contextual role of biomass exposure rather than its direct impact. Methods: Using a multicenter, retrospective cohort design, we analyzed the medical records of patients admitted with COPD exacerbations from January 2021 to December 2023. Eligible patients were over 40 years old with confirmed COPD exacerbation, excluding those with other significant lung conditions, severe organ dysfunction, or incomplete data. The collected data included demographics, smoking history, comorbidities, medications, laboratory results, and clinical outcomes, with smoking status categorized into current, former, or never smokers. Results: Our analysis comprised 334 patients with a mean age of 69 ± 8.8 years, including 52 (15.6%) females. Biomass exposure, observed in 22% of patients, was associated with a higher likelihood of being female (p < 0.001), lower smoking rates (p < 0.001), higher prevalence of diabetes mellitus type 2 (p = 0.020), lower peripheral blood eosinophilia (p = 0.001), increased intensive care unit (ICU) admissions (p = 0.034), and higher in-hospital mortality (p = 0.043). Non-survivors tended to be older and had a higher prevalence of hypertension, a history of childhood pneumonia, longer COPD duration, greater need for non-invasive ventilation (NIV) during hospitalization, and more frequent ICU admissions. Univariate Cox regression analysis revealed no significant associations between characteristics and outcomes. Conclusions: Patients with biomass exposure were more likely to be female and had higher rates of ICU admission and in-hospital mortality.

Profiling feedback antecedents in higher education students: a person-oriented perspective

The ability to give, receive and process feedback is essential for higher education students not only during their studies, but also for their future work life. Despite the extensive amount of research on feedback in education, there is limited research on feedback skills as collaborative skills and on what might influence these skills. Through surveying a large sample of 2,907 university students who worked in self-managed project teams, this study explores how individual characteristics as antecedents relate to students’ perceived feedback skills. We use a person-oriented approach to examine how these antecedents relate within students and how these profiles relate to perceived feedback skills. In addition to reliability, confirmatory factor analysis provided evidence for the structural validity of a newly developed feedback skills instrument. Five scales were used from existing feedback instruments as antecedents of feedback skills, and these were also found to be valid and reliable. Through a person-oriented approach, we applied a hierarchical and a k-means cluster analysis to create student profiles or groups based on feedback antecedents. We identified five distinct groups of students with common feedback antecedents. The results indicate that the five groups also had different levels of perceived feedback skills. The study contributes to the limited research on the dynamics of giving and receiving feedback from the perspective of students in the context of collaborative learning. It has implications for researchers and practitioners to better understand individual differences and to consider these differences when designing collaborative learning activities and facilitating student teams.

Silicon caregivers: a multilevel analysis of European perspectives on robotic technologies for elderly care

ABSTRACT As populations age, women's workforce participation grows and AI advances, understanding attitudes towards care technologies becomes increasingly important. This study examines attitudes towards robot caregivers for older adults across 28 European countries, using 2017 Eurobarometer data from working-age adults (20–59; n = 13,839). We investigate how individual characteristics (gender, education, occupation) and local-level factors (GDP, female labour participation, over 65s as % of the population, spending on old age) are associated with comfort levels with domestic care robots. The results show that men, individuals with higher levels of educational attainment, and those in professional or managerial occupations report greater comfort with robot caregivers. Additionally, local context plays a significant role. Those living in local communities with higher female employment rates and lower spending on old-age support demonstrate higher acceptance of robotic care solutions. These findings highlight the dual influence of individual and community factors in shaping attitudes towards automated care technologies.

Internet-based treatment for provoked vulvodynia: factors associated with treatment outcomes

Abstract Introduction Previous research has indicated that internet-based Acceptance and Commitment Therapy (ACT) can reduce pain during intercourse and increase pain acceptance in individuals with provoked vulvodynia, but the factors associated with treatment outcomes remain unknown. Aim This study aimed to investigate factors associated with changes in pain acceptance following an internet treatment based on ACT. Methods This exploratory study used data from the EMBLA study, a multicenter randomized controlled trial that investigated the effects of internet-based ACT for provoked vulvodynia. The examined factors included sociodemographics, medical history, pain and sexual behavior, and psychosocial characteristics. Linear regression analysis was employed to assess the association of these factors with pain acceptance, including interaction effects. Results were adjusted for multiple testing using Bonferroni correction. Outcomes The outcome measure was pain acceptance assessed on the scale Chronic Pain Questionnaire–Revised, which comprises two sub-scales: activity engagement and pain willingness. Results Before adjustment, greater improvement in overall pain acceptance and the subscale activity engagement was seen participants in the intervention group who had a history of physical violence or sexual assault. Increased time spent on the treatment platform per week was also associated with greater improvement in pain acceptance. Participants who reported gastrointestinal problems before the internet-based treatment showed better treatment outcomes in activity engagement. Previous contact with a psychologist or counselor was associated with less improvement in activity engagement. The intervention was less effective on the subscale pain willingness with increased age and for those reporting urinary problems. No associations remained statistically significant after adjustment for multiple testing. Clinical implications Previous exposure to violence and sexual assault, concomitant gastrointestinal or urinary problems, and adherence to treatment should be further investigated in larger studies on factors associated with treatment outcomes after internet treatment based on ACT, especially regarding pain. Strengths and limitations This was a novel and exploratory study and provides information for researchers in future investigations of how individual characteristics may influence treatment outcomes. A range of variables were explored in the models, underscoring the importance of future studies to strengthen the findings. One limitation concerns the sample size, which was fairly small considering the nature of the study. Conclusion After correcting for multiple testing, no factors were found to be statistically associated with changes in pain acceptance after the treatment.

Is driving an electric two-wheeler (E2W) safe? Analysing safety risk factors of E2W considering the quality and reliability criteria

PurposeThe purpose of this research is to identify and analyse the perceived risk factors affecting the safety of electric two-wheeler (E2W) riders in urban areas. Given the exponential growth of the global E2W market and the notable challenges offered by E2W vehicles as compared to electric cars, the study aims to propose a managerial framework, to increase the penetration of E2W in the emerging market, as a reliable, and sustainable mobility alternative.Design/methodology/approachThe perceived risk factors of riding E2Ws are relatively scanty, especially in the context of emerging economies. A mixed-method research design is adopted to achieve the research objectives. Four expert groups are interviewed to identify crucial safety risk E2W factors. The grey-Delphi technique is used to confirm the applicability of the extracted risk factors in the Indian context. Next, the Grey-Decision-Making Trial and Evaluation Laboratory (DEMATEL) technique is employed to reveal the causal-prominence relationship among the perceived risk factors. The dominance and prominence scores are used to perform Cause and Effect analysis and estimate the triggering risk factors.FindingsThe finding of the study suggests that reckless adventurism, adverse road conditions, individual characteristics and distraction caused by using mobile phones, as the topmost triggering risk factors that impact the safety of E2Ws drivers. Similarly, reliability on battery performance low velocity and heavy traffic conditions are found to be some of the critical safety factors.Practical implicationsE2Ws are anticipated to represent the future of sustainable mobility in emerging nations. While they provide convenient and quick transportation for daily urban commutes, certain risk factors are contributing to increased accident rates. This research analyses these risk factors to offer a comprehensive view of driver and rider safety. Unlike conventional measures, it considers subjective quality and reliability parameters, such as battery performance and reckless adventurism. Identifying the most significant causal risk factors helps policymakers focus on the most prominent issues, thereby enhancing the adoption of E2Ws in emerging markets.Originality/valueWe have proposed an integrated framework that uses grey theory with Delphi and DEMATEL to analyse the safety risk factors of driving E2W vehicles considering the uncertainty. In addition, the amalgamation of Delphi and DEMATEL helps not only to identify the pertinent safety risk factors, but also bifurcate them into cause-and-effect groups considering the mutual relationship between them. The framework will enable practitioners and policymakers to design preventive strategies to minimize risk and boost the penetration of E2Ws in an emerging country, like India.

Knowledge, attitude, and practice regarding dengue vaccine: a baseline study of community members and health providers in Indonesia.

Despite recent behavioral interventions aimed at reducing the burden of dengue, persistent unfavorable related behaviors in the Indonesian community suggest that vaccination could be effective. However, before this is implemented nationally, public perception and acceptance of the vaccine should be assessed in addition to health providers' points of view. This study aimed to assess the knowledge, attitudes, and practices (KAP) of community members and health providers in Indonesia. A cross-sectional survey was conducted in six districts of three Indonesian provinces. Respondents included both community members and health providers living within the territory of the selected primary health care centers. Pretested questionnaires were used to gather information on the sociodemographic characteristics and KAPs regarding dengue vaccines. An independent t-test was performed to compare the mean KAP scores between community members and health providers, while a logistic regression analysis was used to identify the predictors in each domain. Only 18.5% of health providers possessed high knowledge of the dengue vaccine versus only 12.5% of community members. Approximately one-third of the health providers versus one-fourth of community members displayed a high to moderate score for attitudes about dengue vaccines. Dengue vaccination practices demonstrated a more favorable score for both health providers and community members at 59.1% and 41.1%, respectively. No individual sociodemographic characteristics were associated with KAPs; rather, only education was correlated with better dengue vaccination practices. We also found that good knowledge of dengue was the only factor associated with all domains. Our findings highlight the urgent need to deliver educational interventions to health providers and community members in Indonesia to improve their awareness of dengue vaccines.

Does the service trade network impact on technological complexity of exports?——New perspective based on social network approach

ABSTRACT In the context of the digital economy, digital service trade has gradually become a new driving force for the high-quality development of foreign trade in various countries. Based on the bilateral data of digital service trade between 56 countries from 2005 to 2021, this paper constructs the global digital service trade network through social network analysis method. Also, this study examines the impact of the network characteristics on its export technology complexity. According to our research findings, first, in terms of the overall characteristics, the number of participating countries in digital service trade is increasing, and the density is overall low but showing an upward trend. Second, in terms of individual characteristics, the ranking is relatively stable, developed countries such as Europe and the United States with higher centrality, connectedness and heterogeneity are the dominant players in the digital service trade. But the indicators of each characteristic are decreasing over time, verifying the fact that the global digital service trade has become more open and inclusive. Third, we examined that centrality, connectedness, and heterogeneity all contribute significantly to export technological complexity. Technological innovation is the main path of action. The results still hold after performing a series of robustness tests.

REHABILITATION AFTER SURVIVING OCULAR ONCOLOGY. LITERATURE REVIEW

New drugs and methods of early diagnosis of malignant tumors of the visual organ have appeared in the last decades. Nevertheless, the problem of untimely diagnosis and treatment of these diseases remains in practical ophthalmology, which leads to more radical and less organ-preserving methods of treatment and, as a consequence, to the deterioration of cosmetic and functional results in subsequent eye prosthetics.Aim. To analyze and discuss the literature on the following topics: ocular prosthetics and ophthalmic oncology using available databases.Material and methods. Optimization of domestic and foreign scientific papers using eLibrary, PubMed, ScienceDirect and Google Scholar databases.Results. The 52 most relevant sources of domestic and foreign literature were analyzed.Conclusions. Having analyzed the literature data in domestic and foreign sources, we can conclude that the world medical community has not fully disclosed the issue of eye prosthetics in patients after oncological treatment. More research and practical recommendations are needed in this area. The use of a staggered prosthetic method, as well as the shape of the eye prosthesis, taking into account the individual characteristics of the conjunctival cavity, will help to achieve the best results.

Literacy Deep Reinforcement Learning-Based Federated Digital Twin Scheduling for the Software-Defined Factory

As user requirements become increasingly complex, the demand for product personalization is growing, but traditional hardware-centric production relies on fixed procedures that lack the flexibility to support diverse requirements. Although bespoke manufacturing has been introduced, it provides users with only a few standardized options, limiting its ability to meet a wide range of needs. To address this issue, a new manufacturing concept called the software-defined factory has emerged. It is an autonomous manufacturing system that provides reconfigurable manufacturing services to produce tailored products. Reinforcement learning has been suggested for flexible scheduling to satisfy user requirements. However, fixed rule-based methods struggle to accommodate conflicting needs. This study proposes a novel federated digital twin scheduling that combines large language models and deep reinforcement learning algorithms to meet diverse user requirements in the software-defined factory. The large language model-based literacy module analyzes requirements in natural language and assigns weights to digital twin attributes to achieve highly relevant KPIs, which are used to guide scheduling decisions. The deep reinforcement learning-based scheduling module optimizes scheduling by selecting the job and machine with the maximum reward. Different types of user requirements, such as reducing manufacturing costs and improving productivity, are input and evaluated by comparing the flow-shop scheduling with job-shop scheduling based on reinforcement learning. Experimental results indicate that in requirement case 1 (the manufacturing cost), the proposed method outperforms flow-shop scheduling by up to 14.9% and job-shop scheduling by 5.6%. For requirement case 2 (productivity), it exceeds the flow-shop method by up to 13.4% and the job-shop baseline by 7.2%. The results confirm that the literacy DRL scheduling proposed in this paper can handle the individual characteristics of requirements.