Future Work Research Articles

New pedagogical tools for vaccine education: preparing future healthcare workers for the next pandemic.

Vaccine hesitancy (VH) is an issue for healthcare students, influenced by safety concerns and misinformation. The need for better communication training and understanding sociocultural factors in VH was highlighted in a European University Alliance seminar. Practical exercises like simulation role-playing, interprofessional collaboration, and digital literacy may improve vaccine education.

Schema Extraction in NoSQL Databases: A Systematic Literature Review

Introduction: Nowadays, NoSQL databases have taken on an increasingly important role in the storage of massive data within companies. Due to a common property called schema-less, NoSQL databases offer great flexibility, particularly for the storage of data in different formats. However, despite their success in data storage, schema-less databases are a major obstacle in areas requiring precise knowledge of this schema, especially in the field of data integration. Method: This study presents a Systematic Literature Review (SLR) to explore, evaluate, and discuss relevant existing research and endeavors using novel schema extraction approaches. Furthermore, we conducted this study using a well-defined methodology to examine and study the problem of schema extraction from NoSQL databases. Results: Our research results highlight and emphasize the scheme extraction approaches and provide knowledge to researchers and practitioners by proposing schema extraction approaches and their limitations, which contributes to inventing new, more efficient approaches. Conclusion: In our future work, inspired by the recent advances in quantum computing and the emergence of post-quantum cryptography (PQC), we aim to propose a schema extraction approach that blends cutting-edge technologies with a strong focus on database security.

Low-Temperature Oxidation Pathways are Critical to Thermal Incineration of PFAS-Laden Materials

With growing desire to destroy per- and poly-fluoroalkyl substances (PFAS) now known to be detrimental to human health, a sound understanding of fluorocarbon combustion chemistry is important to efficient thermal destruction within incinerators. While most fluorocarbon combustion models and the sets of reactions contained within them were originally developed for the high temperatures encountered in flame suppression applications, they have often been used to assess PFAS destruction in incinerators, which emphasize a lower range of temperatures. We present results that demonstrate that low-temperature fluorocarbon oxidation pathways—not yet known to play a role in fluorocarbon combustion—impact key incinerator performance metrics, including: PFAS surrogate mole fractions, products of incomplete destruction, and waste destruction efficiencies. The results further point to the utility of NO as a potential additive. The present results show the influence of these pathways for CF3O2, for which some data are available, but analogous pathways would also occur for other fluoroalkylperoxy radicals, for which little is known. The results demonstrate the need for future work to identify and characterize low-temperature pathways more generally, consider such pathways in kinetic model development, and experimentally probe intermediate temperature conditions to better understand, design, and control thermal destruction technologies for improved PFAS management.

The Application of Kinesin Inhibitors in Medical Issues.

Kinesins are a group of motor proteins in charge of several crucial functions in the cell. These proteins often bind to microtubules and perform their functions using the energy produced by ATP hydrolysis. One function of mitotic kinesin, a subclass of kinesin that is expressed during cell division at the mitotic phase, is to create the mitotic spindle. Uncontrolled cell growth is one trait of cancerous cells. Traditional anticancer medications still used in clinics include taxanes (paclitaxel) and vinca alkaloids (vincristine, vinblastine), which interfere with microtubule dynamics. However, because non-dividing cells like post-mitotic neurons contain microtubules, unwanted side effects like peripheral neuropathy are frequently found in patients taking these medications. More than ten members of the mitotic kinesin family play distinct or complementary roles during mitosis. The mitotic kinesin family's KSP, or Eg5, is regarded as its most dramatic target protein. The current work systematically reviews the use of kinesin inhibitors in the medical field. The challenges of KSP and the practical solutions are also examined, and the outcomes of the previous works are reported. The significant gaps and shortcomings of the related works are also highlighted, which can be an onset topic for future works.

Analysis of the impact of pre-professional education on the health of medical students

BACKGROUND: Education in a higher educational institution is critical for students due to the vulnerability of the young body and the exposure of young men and women to the impact of adverse factors that contribute to health disorders. The solution to the problem of the observed deterioration of the health of students of medical higher educational institutions is currently very acute, since this problem is directly related to the health of future health workers and determines the future of the country. AIM: To assess the health status of students of the Institute of Clinical Medicine named after N.V. Sklifosovsky of Sechenov University on the example of graduates of the Resource Center «Medical Sechenov Pre-University» of the Sechenov First Moscow State Medical University (Sechenov University) in a comparative aspect with graduates of other educational institutions. METHODS: A single-stage selective comparative study of the morbidity rate of students of the N.V. Sklifosovsky Institute of Clinical Medicine of Sechenov University was carried out. The data of the registration form «No 025/у» 1–6-year students for the period from 2018 to 2024 (n=2229, including 414 graduates of the Pre-University) were used. Data analysis was performed using Pearson's χ2 test with Yates correction. The significance level was set as p 0.05. Numerical data are presented with absolute and relative values. RESULTS: It was shown that the number of students assigned to the first and second health groups among Pre-University graduates was higher overall, and the number of those assigned to the third health group was lower compared to their peers who were not Pre-University graduates (p 0.01). An increase in the overall morbidity of students by the sixth year was noted, but to a lesser extent among Pre-University graduates (p 0.001). All students have more frequent eye and apparatus diseases. The second and third places were occupied by diseases of the nervous system and diseases of the respiratory organs. Diseases of the musculoskeletal system and connective tissue were less common. CONCLUSION: The lower morbidity rate among the graduates of the Pre-University is presumably due to the promotion of a healthy lifestyle and rejection of harmful habits during the pre-professional education phase. The data obtained show the need to strengthen work on the identification and prevention of factors of educational environment, reducing the effectiveness of medical and educational measures for the formation of health status of students at the stage of pre-specific education.

Visualization of AI Accuracy: A Novel Assignment for the Teaching of Critical Thinking and Science Writing

Background Rapid changes brought on by generative artificial intelligence (AI) have emphasized the need to teach students to work with this technology while also developing the “robot proof” human skills future workers will need, such as creativity, communication, and critical thinking. Objective The study objective was to explore whether a fact-checking, generative-AI assignment, inserted between the outline, and first-draft stages of a student's literature review writing process, would relate to student classification, perceptions of AI accuracy, and future trust in AI-generated content. Method Students in upper and lower division psychology classes used AI to generate a literature review on their final paper topic, which they then fact-checked for accuracy and usefulness using a color-coded system. Results Lower division students expected more inaccuracy, highlighted less information as inaccurate, and reported greater future trust of AI-generated content than upper division students. Conclusion Students with more experience critically evaluating primary sources may be better equipped to detect inaccuracies within AI-generated content. Teaching Implications Teachers of any course requiring a literature review paper may use this assignment to encourage student use of AI with a critical eye toward recognizing where that content is incorrect.

MuHeQA: Zero-shot question answering over multiple and heterogeneous knowledge bases

There are two main limitations in most of the existing Knowledge Graph Question Answering (KGQA) algorithms. First, the approaches depend heavily on the structure and cannot be easily adapted to other KGs. Second, the availability and amount of additional domain-specific data in structured or unstructured formats has also proven to be critical in many of these systems. Such dependencies limit the applicability of KGQA systems and make their adoption difficult. A novel algorithm is proposed, MuHeQA, that alleviates both limitations by retrieving the answer from textual content automatically generated from KGs instead of queries over them. This new approach (1) works on one or several KGs simultaneously, (2) does not require training data what makes it is domain-independent, (3) enables the combination of knowledge graphs with unstructured information sources to build the answer, and (4) reduces the dependency on the underlying schema since it does not navigate through structured content but only reads property values. MuHeQA extracts answers from textual summaries created by combining information related to the question from multiple knowledge bases, be them structured or not. Experiments over Wikidata and DBpedia show that our approach achieves comparable performance to other approaches in single-fact questions while being domain and KG independent. Results raise important questions for future work about how the textual content that can be created from knowledge graphs enables answer extraction.

The effect of age on musculoskeletal injury compensation costs in South Australian professional urban firefighters: A cohort study.

Firefighting is recognised as a physically demanding occupation involving exposure to hazardous environments and activities. An aging workforce combined with the age-related decline in physical fitness may result in increased future workers' compensation expenditure for fire service organisations. The objective of this research was to investigate the costs associated with musculoskeletal sprain and strain injury and the impacts of age and injury location on Workers' Compensation claims submitted by professional urban firefighters. Claim rates, direct costs, and days lost were extracted from a professional Fire Service organisation's workers' compensation claim database for financial years between 2011 to 2018. The mean cost per claim increased with age, with a mean claim cost of the 60-70-year-old group over 10 times more than the 20-29-year-old group. The mean days lost per claim were also higher for claims submitted by firefighters aged over 50. Older firefighters miss more workdays when injured and are associated with increased claims costs, particularly those in the 60-70-year group. With an aging workforce, Fire Service organisations must implement appropriate management and prevention strategies to reduce the potential risks associated with an aging workforce.

Healthcare students are faced with the issue of the rights of people with disabilities and the quality of services: Are we training future healthcare workers who overemphasize technology?

Introduction: This research describes incorporating the principles of the United Nations Convention on the Rights of Persons with Disabilities (CRPD) in training students at an Italian university. It also describes the perception of students on the rights of people with disabilities and the quality of services using the questionnaire the Well-Being at Work and Respect Right (WWRR), the objective is to compare the responses of students from the faculty of health sciences and health professionals human rights respect, organizational well-being, and job satisfaction in healthcare environments method: Cross-sectional study the data obtained were analyzed using the ANOVA test and Chi-SQUARE test results: University students have little recognition of the professional roles for the social and labor inclusion of users of health services, which promotes rethinking the type of training they receive conclusions: the findings show the need to incorporate in a more detailed way the principles of the CRPD in university training plans that promote an emphasis on disabilities based on human rights, despite the fact that the perception by students is optimistic in relation to respect for the rights of users in health services where they have done their training or practices, these results indicate a reevaluation of university training that gives a balance between technical skills but with an emphasis on human rights and social inclusion in health services.

Works for Me: Personalizing Skilled Trade Worker Training via Smart Hand Tools

ABSTRACTThis paper explores an approach for applying Artificial Intelligence (AI) to co‐design smart hand tools to personalize learning for future skilled trade workers in workforce training programs. The purpose of this research is to better understand the perspectives of workers in the skilled trades and to respond with co‐designed socio‐technical interventions that empower workers. The research benefits from a collaboration between The University of Texas at Austin, the City of Austin, and Austin Community College (ACC) and incorporates insights from welding instructors and students, as well as skilled trade workers and supervisors. Social science findings derived from semi‐structured interviews inform tool design implemented by an interdisciplinary research team. The participatory design approach has resulted in two prototypes: a welding simulator that uses Augmented Reality (AR) and an AI‐enabled (smart) rotary tool. This paper has implications for workforce development to address skilled worker shortages. Additionally, it contributes to ongoing research into AI and skilled trade work which is understudied compared to AI and knowledge work.

Strategies for Career Readiness in the Age of General Artificial Intelligence

Abstract: As artificial intelligence and automation continue to rapidly transform work and skills requirements, preparing both current and future workers for careers in this evolving landscape is imperative. This practitioner-focused research brief explores strategies for developing career readiness in the age of advancing technologies like general AI. Through a review of relevant literature on forecasting AI's labor market impacts and in-demand future skills, key competencies are identified that complement human strengths versus automatable tasks. These include social-emotional abilities, creative and analytical problem-solving, and digital/technical fluency. The brief then outlines evidence-based approaches for cultivating these skills throughout education and careers, such as embedding complementary skills training, investing in lifelong learning pathways, leveraging mentoring, and fostering a growth mindset. Practical organizational examples demonstrate how leading companies are proactively implementing such strategies. The brief concludes that a focus on essential human capabilities empowered by technology portends continued meaningful work and career prosperity.

New Trends in Migration from Kyrgyzstan to the Russian Federation

In recent decades, population migration has become one of the main components of socio-economic development of Kyrgyzstan. In recent years, Kyrgyz citizens have been working in Russia and Kazakhstan. A comparative analysis of the number and structure of flows of Kyrgyz labour migrants is carried out on the basis of data from a sample national survey of household budgets, the National Statistical Committee of Kyrgyzstan, the Federal Migration Service of Russia, the Main Directorate for Migration Issues of the Ministry of Internal Affairs of Russia, and Rosstat. The key problems of the social and legal situation of Kyrgyz migrants in Russia were identified: lack of registration at the place of stay, restriction/ ban on entry, non-payment of wages, access to medical care, and receipt of pensions. Gradually, under the influence of external and internal factors, new trends of labour migration to the Middle East and the Persian Gulf, the Republic of Korea and Japan, Europe and America have emerged. Migration flows are becoming more and more organised, as they involve the country's public authorities, private employment agencies, international companies and other actors. The study shows that the key needs for Kyrgyz migrant workers in the near future are concentrated in the following regions (in addition to traditional destinations): first, Western European countries (Great Britain and Germany); second, East Asia (Republic of Korea and Japan); third, Eastern European countries (Poland, Hungary, Bulgaria); fourth, the Middle East (Turkey and the Gulf countries); fifth, Northern Europe (Sweden and Finland). The official discourse in Kyrgyzstan is increasingly gaining momentum on the need to transform migration policy from large-scale export of labour resources to employment of surplus labour resources within the country by creating new jobs and expanding production. New ideological approaches to the transition of Kyrgyzstan from the category of countries– exporters of labour resources to the category of countries actively developing their own production and labour market are practically formed.

Functional analysis of cyclic diguanylate-modulating proteins in Vibrio fischeri.

As bacterial symbionts transition from a motile free-living state to a sessile biofilm state, they must coordinate behavior changes suitable to each lifestyle. Cyclic diguanylate (c-di-GMP) is an intracellular signaling molecule that can regulate this transition, and it is synthesized by diguanylate cyclase (DGC) enzymes and degraded by phosphodiesterase (PDE) enzymes. Generally, c-di-GMP inhibits motility and promotes biofilm formation. While c-di-GMP and the enzymes that contribute to its metabolism have been well-studied in pathogens, considerably less focus has been placed on c-di-GMP regulation in beneficial symbionts. Vibrio fischeri is the sole beneficial symbiont of the Hawaiian bobtail squid (Euprymna scolopes) light organ, and the bacterium requires both motility and biofilm formation to efficiently colonize. C-di-GMP regulates swimming motility and cellulose exopolysaccharide production in V. fischeri. The genome encodes 50 DGCs and PDEs, and while a few of these proteins have been characterized, the majority have not undergone comprehensive characterization. In this study, we use protein overexpression to systematically characterize the functional potential of all 50 V. fischeri proteins. All 28 predicted DGCs and 14 predicted PDEs displayed at least one phenotype consistent with their predicted function, and a majority of each displayed multiple phenotypes. Finally, active site mutant analysis of proteins with the potential for both DGC and PDE activities revealed potential activities for these proteins. This work presents a systems-level functional analysis of a family of signaling proteins in a tractable animal symbiont and will inform future efforts to characterize the roles of individual proteins during lifestyle transitions.

The relationship between cognitive emotion regulation strategies and emotional manipulation among health colleges students: a cross-sectional correlational study.

Emotional intelligence is commonly associated with career success. Employees with higher emotional intelligence tend to reap greater benefits. However, emotional manipulation has been reported as a dark side of emotional intelligence, which refers to the self-perceived ability to control the emotions and actions of others for self-benefit. Healthcare professionals with high emotional intelligence often improve the overall patient experience. However, their ability to manipulate emotions can have a detrimental impact on the quality of treatment. This cross-sectional correlational study assessed cognitive emotion regulation strategies (CER) and emotional manipulation among students of health colleges. Two instruments were used to collect the data: 1) the emotional manipulation scale and 2) the cognitive emotion regulation questionnaire. A total of 362 students from health colleges responded to the questionnaire. The students had a moderate tendency to use emotional manipulation (25.09 ± 6.79 out of 50). The most frequently used CER strategies included adaptive strategies such as positive reappraisal with a mean score of 7.45 ± 2.15 out of 10 and maladaptive strategies such as rumination with a mean score of 7.33 ± 2.23 out of 10. The emotional manipulation score had a small but statistically significant negative correlation with two adaptive CER strategies: positive refocusing (r = -0.146, p = 0.005) and focus on planning (r = -0.144, p = 0.006). This study sheds light on the relationship between CER strategies and emotional manipulation, suggesting that poor use of adaptive strategies is associated with emotional manipulation. This finding highlights the importance of designing interventional programs that improve the ability of health colleges students to regulate their cognitive and emotional responses, thus improving their overall well-being and performance as future healthcare workers.

Education of Future Language Workers: Supporting Students’ Startups as a Teaching Strategy

The article discusses the role of student start-ups in general and their introduction into the academic curriculum as graduation projects in particular. The paper provides an overview and short history of the student start-up as a concept and the term, underlining, on the one hand, a contemporary demand for student entrepreneurship encouragement, their social capital built-up and University-industry collaboration but problematic ambiguity of their realization, on the other. The authors claim the innovations as it goes is most challenging for both teachers and students of non-business academic programs and requires a certain shift in teaching strategies as well as the curriculum. The paper dwells on the existing background of student start-ups in non-business fields and underlines that in such circumstances teaching and extracurricular activities become a major tool to promote the entrepreneurial intentions among the students. The authors claim the academic training can benefit from a suchlike approach and the transdisciplinary projects may serve as a practice-oriented cumulative ground for student start-ups. The paper illustrates how these projects can be implemented. The authors have stepped up their efforts towards introducing a student start-up to show how a certain student project can later launch them into business resulting in creating a new venture.

Wet bulb globe temperature from climate model outputs: a method for projecting hourly site-specific values and trends.

Increasing temperature will impact future outdoor worker safety but quantifying this impact to develop local adaptations is challenging. Wet bulb globe temperature (WBGT) is the preferred thermal index for regulating outdoor activities in occupational health, athletic, and military settings, but global circulation models (GCMs) have coarse spatiotemporal resolution and do not always provide outputs required to project the full diurnal range of WBGT. This article presents a novel method to project WBGT at local spatial and hourly temporal resolutions without many assumptions inherent in previous research. We calculate sub-daily future WBGT from GCM output and then estimate hourly WBGT based on a site-specific, historical diurnal cycles. We test this method against observations at U.S. Army installations and find results match closely. We then project hourly WBGT at these locations from January 1, 2025, to December 31, 2100, to quantify trends and estimate future periods exceeding outdoor activity modification thresholds. We find regional patterns affecting WBGT, suggesting accurately projecting WBGT demands a localized approach. Results show increased frequency of hours at high WBGT and, using U.S. military heat thresholds, we estimate impacts to future outdoor labor. By mid-century, some locations are projected to average 20 or more days each summer when outdoor labor will be significantly impacted. The method's fine spatiotemporal resolution enables detailed analysis of WBGT projections, making it useful applied at specific locations of interest.

Capture of Group A Streptococcus by Open-Microfluidic CandyCollect Device in Pediatric Patients.

Obtaining high-quality samples to diagnose streptococcal pharyngitis in pediatric patients is challenging due to discomfort associated with traditional pharyngeal swabs. This may cause reluctance to go to the clinic, inaccurate diagnosis, or inappropriate treatment for children with sore throat. Here, we determined the efficacy of CandyCollect, a lollipop-inspired open-microfluidic pathogen collection device, to capture Group A Streptococcus (GAS) and compare user preference for CandyCollect, conventional pharyngeal swabs, or mouth swabs in children with pharyngitis and their caregivers. All child participants (30/30) were positive for GAS by qPCR on both the mouth swab and CandyCollect. Caregivers ranked CandyCollect as a good sampling method overall (27/30), and all caregivers (30/30) would recommend CandyCollect for children 5 years and older. Twenty-three of 30 children "really like" the taste and 24/30 would prefer to use CandyCollect if a future test were needed. All caregivers (30/30) and most children (28/30) would be willing to use CandyCollect at home. All participants tested positive for GAS on all three collection methods (pharyngeal swab, mouth swab, and CandyCollect). While both caregivers and children like CandyCollect, some caregivers would prefer a shorter collection time. Future work includes additional studies with larger cohorts presenting with pharyngitis of unknown etiology and shortening collection time while maintaining the attractive form of the device. Obtaining oral samples for the diagnosis of streptococcal pharyngitis is of great importance for children. To address the challenges associated with traditional pharyngeal swab sampling, we developed the CandyCollect device, a lollipop-inspired open mesofluidic saliva sampling system. In this study, saliva samples were collected from children, aged 5-14 years, with CandyCollect and mouth swabs and analyzed via qPCR. The results show CandyCollect is the child preferred collection tool and had 100% concordance with the results from traditional diagnosis methods as part of their clinical care.

Intention to use personal health record system and its predictors among chronic patients enrolled at public hospitals in Bahir Dar city, northwest Ethiopia: using modified UTAUT2 model.

Chronic diseases are the leading causes of death in the world. In sub-Saharan Africa, it leads to more mortality than almost every other region in the world. Currently, digital health technology like personal health records plays a crucial role in managing patients with chronic diseases. In low-resource countries like Ethiopia, it is uncertain how many chronic patients intend to use PHRs and the accompanying circumstances. Hence, the aim of this study was to assess chronic patients' intention to use PHRs and its predictors enrolled in public health hospitals in Bahir Dar city, northwest Ethiopia. An institutional-based cross-sectional study was conducted among 924 respondents from April 5 to May 9, 2023, in Bahir-Dar city public hospitals. A stratified sampling technique followed by a systematic sampling technique was applied to select the study participants. An interviewer-administrated questionnaire was conducted using Kobo Collect. A UTAUT2 model was applied to develop theoretical frameworks. SPSS version 25 software was used to estimate the descriptive statistics, and the structural equation model analysis was used to evaluate model constructs using AMOS version 21 software. In this study, a total of 908 study subjects participated. The proportion of chronic patients' intention to use PHR was 46.7% [95.0% CI (43.4-50.1)]. According to the findings, performance expectancy (β = 0.259, p-value <0.001), effort expectancy (β = 0.214, p-value <0.001), social influence (β = 0.174, p-value <0.001), and facilitating condition (β = 0.114, p-value <0.01) had a significant effect on the intention to use PHRs. Generally, the overall intention to use PHR was low. Our finding illustrates that the effects of performance expectancy, effort expectancy, social influence, and facilitating conditions had a positive effect on patients' intentions to use PHRs. The effect of effort expectancy on the intention to use a PHR was positively moderated by age. Since the findings of this study would help policymakers and programmers to future academics interested in this area and insight to future research workers. Therefore, implementers should focus on improving patient capacity, motivating users, and raising awareness regarding PHR.

Профессионально-образовательная мобильность современной молодежи: современное понимание и ключевые тенденции

The article examines issues that cover the subject field of the essence of professional and educational mobility of modern youth, its types, as well as the factors that support and stimulate it. Particular attention in the research process is paid to the career scenarios that underpin professional and educational mobility. The features of employment and professional education in the traditional and new economy are outlined. In addition, the emphasis is placed on the synergetic paradigm, within which a modern understanding of the category of professional and educational mobility is developing. Practical aspects of the mobility of the younger generation in Russia are considered using the results of a sociological survey conducted by the Institute of Sociology of the Russian Academy of Sciences. Conclusion dwells upon the fact that professional and educational mobility of young people contributes to increasing the competitiveness of future workers in the labor market, which is associated with career scenarios, requirements, favorable social and organizational factors that contribute to the fastest integration into a new community.

Future of Work: The Impact of Intelligent Technologies for Leaders and Knowledge Workers

The future of work (FOW) is being influenced by emerging technologies such as machine learning, artificial intelligence (AI), and predictive analytics. With 89% of businesses adopting digital strategies, experts predict that AI will enhance productivity and proficiency over the next decade. However, concerns about the impact of AI on employment and the workforce remain. The pace of AI development contradicts stakeholder expectations, leading to uncertainty about AI automation, competitiveness in local markets, online disruptions, job and skill redesign, and high pressure on the workforce. AI has shown benefits in automating processes and improving productivity, quality, and reliability. Descriptive analytics tools like Office 365 Delve (O3D) can help reinforce working relationships, improve work-life balance, and support communication. However, there is a gap between organizations and employees when it comes to adopting new technology tools. A case study was conducted at Achievers Point University (APU) to examine the use of O3D, its impacts, and user perceptions. The results showed that non-users do not trust the implementation of O3D, but users who use it effectively view output accuracy as well as input. In terms of well-being and trust, 62% of respondents trust O3D as a tool for improving work performance in time management and capturing work activity data. The findings from this case study can inform C-suite executives, decision-makers, and business leaders about developing strategies to mitigate risks during technology implementations