Work Patterns Research Articles

Factors affecting career decision-making of stomatology undergraduate students in China at graduation: a cross-sectional study on selection dilemmas

BackgroundGiven today’s competitive climate, graduates in stomatology face the dilemma of deciding whether to pursue higher education, obtain a master’s degree, or focus on clinical careers. However, their career planning tendencies and decision-making factors have not been clarified. This study aimed to analyze these aspects among stomatology undergraduate students at the Southwest Medical University (SWMU) in China.MethodsThis cross-sectional study between July and August 2022 included undergraduate students majoring in stomatology at SWMU. A cross-sectional online questionnaire was used to gather data on the respondents’ plans after graduation. The questionnaire included inquiries into their intentions regarding postgraduate education and standardized training. Additionally, the survey explored whether the respondents preferred academic or professional master’s degrees, which stomatology subspecialty they preferred, and the factors that influenced their choices.ResultsOne hundred dental undergraduate students participated in this survey. Results indicated that 91.0% of respondents chose to pursue a master’s degree after graduation. Moreover, 80.2% of the respondents chose the professional master rather than the academic master as their first choice. Orthodontics, oral and maxillofacial surgery, and oral implantology were the top three subspecialties that students preferred. Personal interest, expected revenue, and family suggestions were the main factors influencing subspecialty selection.ConclusionsThe study reveals that stomatology undergraduate students face challenges and a dilemma at graduation. Due to the fierce competition in the job market, graduates aspire to pursue postgraduate studies instead of entering the workforce immediately after graduation. Students need to understand the employment landscape in oral medicine and familiarize themselves with the work patterns of various subspecialties while remaining flexible in charting their career paths.

Metabolic Syndrome and Cardiovascular Risk Factors in a Fishing Community in Southern Italy

BackgroundWork organization and psychosocial factors influencing sleep patterns may be significant risk factors for developing obesity and metabolic syndrome (MetS). However, the impact on the health of working patterns in the fishing sector is not well characterized. The aim of the study is to determine the prevalence of MetS and its components in fishermen and to analyze occupational-specific risk factors contributing to metabolic alterations. MethodsOne hundred forty-three male fishermen from Apulia (Southern Italy) and 93 male university workers age-matched and from the same geographical area were included in this cross-sectional study. A questionnaire was administered to investigate socio-demographic variables, work activity, health status, and dietary habits. All subjects underwent clinical evaluation and blood sampling to depict their metabolic profile. ResultsA higher body mass index (BMI), waist circumference (WC), and waist-to-hip ratio (p < 0.001) were observed in fishermen than in university workers. No significant difference between the two groups was observed in the prevalence of MetS (15.4% fishermen vs 16.1% university workers) and its relevant diagnostic criteria, except abdominal obesity (42.7% fishermen vs 29.0% university workers, p = 0.021). The Castelli risk index, the monocyte/c-HDL ratio, and the Sokolow index were significantly greater in fishermen (p < 0.001). In the fishermen group, the total number of sleeping hours on working days was negatively correlated with WC (r = -0.17; p = 0.04), low-density lipoprotein cholesterol (c-LDL) (r = -0.21; p = 0.02), and the homeostasis model assessment (HOMA) index (r = -0.19; p = 0.02). ConclusionThe higher prevalence of obesity and the imbalance of the metabolic profile observed in fishermen could be related to occupational factors, including the specific working pattern that influences their sleeping hours and sleeping-waking rhythms.

Formation of seaweed morphology and enhancing mechanical properties of an A356 alloy by directional solidification

In the present work, regular dendrite and seaweed pattern are produced by controlling the crystal orientation during directional solidification of an A356 aluminium alloy. These morphologies and growth orientation were investigated by electron backscatter diffraction (EBSD), and the results showed that the seaweed pattern mainly prevailed under the (100)[011] orientation. At the same time, the effects of seaweed pattern in the properties of A356 alloy were analysed by room temperature tensile test. It was found that the elongation and toughness of the samples reached 20% and 36J/m3, respectively, for the seaweed; 13% and 24J/m3, respectively, for the regular dendrites; and 8% and 14J/m3, respectively, for the cast ingot. Compared with the regular dendrite samples, the seaweed pattern obtained relatively excellent elongation and toughness. By using scanning electron microscopy (SEM), it is found that the distribution of eutectic silicon particles in seaweed morphology sample is more refined and uniform, which is the main reason for these enhancements.

Impact of COVID-19 led transition of work culture and travel to work patterns on society and environment in Delhi

Globally, COVID-19 has led to changes in daily lifestyle and travel behavior. There was a shift from in-person physical jobs to work-from-home culture, even for those jobs that required in-person presence at the job location. However, this was not true for everyone, and a majority continued to travel to work. The limited capacity of public transport services and the fear of exposure to the virus restrained people from practicing their conventional mobility choices. We explore the impact of COVID-19 on the nature of jobs and related changes in work travel patterns by population groups for Delhi using in-person surveys conducted during 2021 in six localities of Delhi. We also estimated the short- and long-term impacts of altered behavior on expenditures and equivalent CO2 emissions.As per the analysis, lower income groups, having no vehicles, with lesser qualifications, and employed as daily wagers, had limited capacity to change to work-from-home during COVID-19. We observed an increased dependency on personal motorized vehicles, leading to increased expenditures and reduced affordability. Adopting work-from-home during COVID-19 helped reduce equivalent CO2 emissions per working member by 39%. However, as the work at the site resumes, the emissions are expected to increase. The study shows that COVID-19 led to short-term benefits, but in the long term, the externalities will likely increase. Working from home during the pandemic provides short-term benefits; the social benefits are not equally distributed, and the transport emissions shall increase in the long term.

A multifunctional scannable mounting device for computer guided implant surgery: An in vitro study

As part of the growing digitization of the dental field, clinicians are looking for ways to simplify digital workflow, reduce chairside time, and provide new work patterns for future applications. Whether scanning with a multifunctional apparatus (MFA) scan body results in improved scanning is unclear. The purpose of this in vitro study was to compare the horizontal, vertical, and angular deviations with the MFA scan body with a commercially available scan body (SBIO). Sixteen identically printed edentulous maxillary models were used to plan two Ø3.8×11.5-mm implants in the right maxillary first molar and left maxillary central incisor locations. Two implants in each model were installed using a surgical guide. The models were scanned using an intraoral scanner with MFA and then rescanned twice, with SBIO using the intraoral scanner and a laboratory 3D scanner. The implants were digitally positioned according to the scanned MFA and SBIO locations in standard tessellation language (STL) files. These STL files were superimposed on the reference laboratory 3D scanner STL files. Linear measurements included implant apex/cervical horizontal/vertical deviations, as well as implant axis angular deviations. Normality was evaluated with the Shapiro-Wilk test. Paired samples t tests (2 sided) were used for the mean SBIO-MFA deviation difference. To compare the molar/incisor sites, paired samples Wilcoxon tests were used (α=.05 for all tests). No statistically significant differences were found between the MFA/ SBIO deviations, for each of the 10 sites × deviation combinations (P>.05). Overall, the lowest endpoint of the 95% confidence intervals among the 8 linear measurement comparisons was -0.107 mm (coronal vertical deviation, right maxillary first molar site) and -0.30 degrees between the 2 angular measurement comparisons. The current in vitro study demonstrated high accuracy for the novel MFA device, similar to that of the standard SBIO scan body. Furthermore, the current study offers an alternative technique to evaluate the accuracy of implant placement by using scanning and back programming over the traditional postplacement cone beam computed tomography (CBCT) scanning.

Indonesian Migrant Women Workers in Türkiye and Media Representation at Home: Precarity Works and Mediating the State Protection

This qualitative study examines the portrayal of Indonesian migrant women workers in Türkiye by major Indonesian online media outlets from 2019 to 2023. Using content analysis, the research explores dominant media representations surrounding workers in Türkiye's care service and tourism sectors. Findings reveal patterns of precarious work, exploitation, and vulnerability to undocumented employment, particularly involving Syrian employers. The study highlights a significant shift in media coverage from sensationalist reporting to echoing government narratives on combating undocumented migration. This shift aligns with Indonesia's labour-export policy reforms under President Jokowi, which aim to promote labour migration to formal sectors and distance the country's image from domestic worker exports. The research demonstrates how media reflects and reinforces state migrant protection policies through "domesticated protection." However, this approach inadvertently perpetuates victimization and potentially exacerbates vulnerabilities by stigmatizing unofficial migration channels. While intended to safeguard workers, stringent regulations may if not already contribute to increased undocumented migration. By analyzing the nexus between media representation, state policies, and migrant precarities, this study contributes to understanding the complex dynamics of labour migration in an emerging corridor, calling for a more nuanced approach to media coverage, policy-making, and future studies that acknowledges both migrant agency and structural challenges.

Second Version on A Centralized Approach to Reducing Burnouts in the IT industry Using Work Pattern Monitoring Using Artificial Intelligence Using MongoDB Atlas and Python

Industry burnout is interlinked with cultural, individual, physical, or emotional exhaustion, and social factors, the resolution of which requires the technology-driven trends in the workplace and the technologies such as work pattern monitoring and Artificial Intelligence that can deal with large amounts of data. Industries face a gigantic problem i.e., employee burnout which can charge a firm loss in numerous hours and thousands of dollars every year. The more advanced companies use work pattern monitoring using Artificial Intelligence to make their employees work more professionally. In this research my attempts to understand the development and leadership, on the effects of work pattern monitoring using Artificial Intelligence technology on information technology organizations (Sasibhushan Rao Chanthati, 2022). In this updated second version, the data of the employees will be stored on a cloud server with governance &amp; compliances. The study discussed the development of methods which are configured as two different system interfaces, which are of minimum valuable product (MVP) and the results obtained from the two approaches. The system will provide work pattern monitoring via the ‘Real-Time Database – MongoDB Atlas’ which will synchronize the employee burnout data to improve the employee experience. This research also illustrates the advantages and disadvantages of the proposed solutions. “Burnout Detection Mechanism” that will help Industry management and Human Resource Management to manage the emotional state of the employees, understanding their real state. The study conducted a self-survey, and the outputs of the surveys are explained in this paper. The sample data we are using is mainly focused on information technology employment perception.

‘Aikido Practitioners in Every Country Should Change and Unite with the Tradition’: Kisshomaru Ueshiba, Historical Memory, and the Internationalization of Aikido, 1948–1984

Kisshomaru Ueshiba, leader of aikido from 1945–1999 and son of aikido’s founder, published A Life in Aikido: The Biography of Founder Morihei Ueshiba and The Spirit of Aikido in the late 1970s and early 1980s that leveraged historical memory to centralize authority in the Aikikai organization as the art expanded outside Japan. The author used family history and political history to argue for an originalist approach to teaching aikido, one centred on the founder Morihei Ueshiba. Close readings of these works through the lens of historical memory reveal how mid-twentieth century aikido organizers engaged historical memory and family history for administrative purposes but also fit into a larger pattern of memory work that centred Japan in international Cold War era dialogue about peace. Such findings have applications in the contemporary administration of aikido as practitioners work to define the art in historical terms, revealing history as a contemporary resource for decision-making.

Using natural language processing approaches to characterize professional experiences of child welfare workers

High turnover rates among child welfare workers, including caseworkers and supervisors, are associated with negative attitudes and perceptions about work (NAPW). Our study aimed to (a) explore how child welfare workers’ demographic characteristics, professional attributes, and their work narratives are related to NAPW and (b) extract themes from these narratives to understand their professional needs and concerns. In 2022, a statewide online survey was administered to active child welfare caseworkers and supervisors in a large Midwestern state. This survey, combining standardized scales and an open-ended question about work experiences, yielded numeric (N = 551 survey respondents) and text data (N = 2,193 words). We analyzed the numeric data using general linear modeling and the text data using natural language processing (NLP) techniques. Results showed that workers associated with higher NAPW were female, younger, from racial and ethnic minority backgrounds, less tenured, and more likely to be employed in public agencies and to work longer hours. They are predominantly caseworkers rather than supervisors. Worker role and agency affiliation had the largest effect sizes. NLP analysis showed that workers with more NAPW frequently used third-person pronouns and emotionally negative language, suggesting a disconnection from colleagues and job dissatisfaction. Caseworkers often used first-person singular pronouns, indicating feelings of isolation. Two key themes emerged: a) the need for better agency support during home visits and b) concerns over traumatic experiences and ineffective trauma-informed practices. The findings suggest that future interventions should prioritize the well-being of caseworkers in public agencies and consider language patterns in workers’ narratives to understand their vulnerability to NAPW.

Diabetes Mellitus and its Association with Work Patterns and Characteristics: A Narrative Review.

Diabetes mellitus is a leading cause of disability with adverse effects on the quality of life. It also affects occupational health by impacting several work-related parameters. This review discusses the relationship between diabetes and absenteeism, presenteeism, work impairment and unemployment. The association between work and diabetic complications such as neuropathic pain, diabetic foot, psychological issues and hypoglycemia due to treatment is also examined. Evidence points to a relationship between diabetes and absenteeism, reduced work productivity, and, thus, overall work impairment. A stronger negative impact on work performance is mediated by painful diabetic neuropathy and diabetic foot. In addition, psychological distress has been positively correlated with total workdays lost and frequency of absence. Depression in the diabetic population has also been linked with increased absenteeism, presenteeism, and work disability. Moreover, hypoglycaemia induced by antidiabetic medication may affect work attendance and performance. Finally, diabetes has been associated with inequality in the work environment, lower job satisfaction and higher unemployment rates, mainly because of its complications.

Comparison of Deterministic, Stochastic, and Energy-Data-Driven Occupancy Models for Building Stock Energy Simulation

Accurate modelling of occupancy patterns is critical for reliable estimation of building stock energy demand, which is a key input for the design of district energy systems. Aiming to investigate the suitability of different occupancy-modelling approaches for the design of district energy systems, the present study examines a set of standard-based schedules (from the UK National Calculation Methodology), a widely used stochastic occupancy model, and a novel energy-data-driven occupancy model. To this end, a dynamic energy model of a higher education office building developed within a stock model of London’s Bloomsbury district serves as a testbed to implement the occupancy models, explore their implications for the estimation of annual and peak heating and cooling demand, and extrapolate the findings to the computationally demanding building stock stimulations. Furthermore, the simulations were conducted in two years before and after the COVID-19 pandemic to examine the implications of hybrid working patterns after the pandemic. From the results, the energy-data-driven model demonstrated superior performance in annual heating demand estimations, with errors of ±2.5% compared to 14% and 7% for the standard-based and stochastic models. For peak heating demand, the models performed rather similarly, with the data-driven model showing 28% error compared to 29.5% for both the standard-based and stochastic models in 2019. In cooling demand estimations, the data-driven model yielded noticeably higher annual cooling demand and lower peak cooling demand estimations as compared with the standard-based and stochastic occupancy models. Given the adopted building-modelling approach, these findings can be extended to district-level investigations and inform the decision on the choice of occupancy models for building stock energy simulation.

A Comparison of Employee Engagement: Pre- and Post-COVID-19

The COVID-19 pandemic has created major disruptions in the global economy and employee working patterns. Employee engagement is a key factor for organizational management in that it provides an organization with employee commitment to the goals of the organization. The research literature shows mixed results related to the effects of Covid-19 on employee engagement pre-and post-periods. As a result, the literature on employee engagement across different industries is inconclusive. This research study explores the effects of employee engagement pre- and post-COVID-19 and attempts to identify differences across industries. The researcher administered a 15-question survey to organizations on factors related to employee engagement across five industry categories—Health Care, Food Services, Consumer Retail, Manufacturing, and Professional Services.

Association of Evening Shifts, Night Shifts, and Consistent Overtime Exceeding 10 Hours per Day with Sudden Cardiac Arrest: A Case-Control Study.

Background: We investigated the relationship between employment status, work patterns, and sudden cardiac arrest (SCA). Methods: This was a case-control study from September 2017 through December 2022 involving 17 emergency departments and 9 public health centers. The cases included patients aged 20-79 years with SCA, excluding those with traumatic arrest, terminal illness, pregnancy, unreliable information, or a "Do Not Resuscitate" order. Controls were selected from various health screening centers in Korea. All participants completed structured questionnaires. Propensity score matching was used to ensure comparability by age, sex, and socioeconomic status. Results: Of the 1536 patients enrolled, 116 from the case group were excluded due to missing employment data, leaving 1420 cases and 2304 controls for analysis. Employment was reported by 47.5% of cases and 59.4% of controls. There was no significant difference in the proportion of sole proprietors (20.6% vs. 22.5%, p = 0.39). The case group had a higher proportion of employers (13.2% vs. 6.5%, p < 0.001) and fewer employees (63.3% vs. 69.1%, p = 0.02). Professional roles were more common among controls (23.6% vs. 31.6%, p < 0.001), while labor-intensive jobs were more frequent in cases (27.7% vs. 17.8%, p < 0.001). The case group had more evening and night shifts (odds ratio [OR]: 1.04, 95% confidence interval [CI]: 1.01-1.06; OR: 1.05, 95% CI: 1.01-1.09) and longer workdays (OR: 1.06, 95% CI: 1.03-1.08). Conclusions: SCA patients were more likely to work evening and night shifts and have longer workdays, often exceeding 10 h.

Factors affecting UK anaesthetic trainees' wellbeing and stress: a scoping review.

Poor wellbeing and stress in UK anaesthetic trainees impacts significantly on clinical performance, workforce retention and patient care. This study aimed to provide an overview of the evidence in this field and to explore the factors affecting wellbeing and stress in UK anaesthetic trainees. MEDLINE, Embase, PsycINFO, and ERIC were searched, in addition to organisational websites. Literature reporting factors affecting wellbeing and stress in UK anaesthetic trainees from 2009 to present were included. Following exclusions, 45 studies were identified. Only five papers included qualitative analyses. Within these studies, 28 different phenomena related to wellbeing and stress were investigated. Thirty-one different factors affecting anaesthetic trainees' wellbeing and stress were identified in this review. These have been summarised as individual; training; clinical role; progression; work patterns; resources; rest; support; and cultural factors. External factors were described as affecting wellbeing and stress more frequently than internal factors. The most frequently cited individual factors were fatigue and pre-existing health status. The wide scope of phenomena of interest and measurement tools emphasises the challenge of defining and researching the concept of wellbeing. Despite these limitations, we have created a novel conceptual model of individual and external factors affecting UK anaesthetic trainees' wellbeing and stress. This supports an increased awareness and understanding of these factors, so that improvements can be made to practice and policy.

Banyu Murti a Musical Creations | Tabuh Kreasi Banyu Murti

In this independent project program, we want to interpret the changes like the human soul and still adhere to the structure of Karawitan in general, namely by using the Tri Angga concept with Kekebyaran percussion standards, namely Gegineman, Gegenderan, Bapang, and Pengecet. According to the Prakempa book translated by I Made Bandem, this consideration is because nada dung is in the north, and the god is Vishnu. The method used is the method proposed by I Wayan Dibia, namely Panca Sthiti Ngawi Sani. This method combines practical work patterns with theoretical methods. In line with the meaning of the word, which consists of Panca (Kawi language) meaning five, Sthiti (Kawi language) meaning rule, Ngawi (Kawi language) meaning-making or creating, and Sani (Sanskrit language) meaning art, then Panca Sthiti Ngawi Sani contains the meaning of five rules that should be followed in creating works of art. The medium of expression used is the Gong Kebyar gamelan because the stylist wants to make a kekebyar percussion creation that expresses the anger of the soul, which, of course, has a fast and loud tempo, so it is very suitable for the elements in the gong kebyar gamelan.

ESMO Resilience Task Force recommendations to manage psychosocial risks, optimise well-being, and reduce burnout in oncology

Burnout in health care professionals (HCPs) results from exposure to psychosocial risks at work. Left unaddressed, burnout can lead to chronic health problems, increased staff turnover, reduced work hours, absenteeism, and early retirement from clinical practice, thus impacting patient care. The European Society for Medical Oncology (ESMO) Resilience Task Force (RTF) was established in December 2019 to support the well-being of oncology HCPs globally. This ESMO RTF position paper aims to provide a set of recommendations to optimise well-being and mitigate burnout in oncology, and to help individuals and institutions maintain the delivery of optimal cancer care. Recommendations were developed by a diverse multinational panel of interprofessional experts based on the key findings from three previously reported ESMO RTF surveys. Several recurrent work-related psychosocial risks in oncology were identified; in particular, concerns about workload and professional development. The need for flexible work patterns, continued use of virtual resources, well-being resources, and targeted support for at-risk groups were highlighted as key considerations to safeguard HCPs' health and prevent burnout. In total, 11 recommendations relating to three priority themes were developed: (i) information and training; (ii) resources; (iii) activism and advocacy. Optimising the well-being of oncology HCPs is essential for the provision of high-quality, sustainable care for patients globally. The ESMO RTF will continue its mission and is rolling out several initiatives and activities to support the implementation of these recommendations.

New Commuting Zone delineation for the U.S. based on 2020 data

This paper documents the creation of new ‘commuting zones’ for the United States based on 2020 geographies and data. Commuting zones originated in the late 1980’s as the result of an effort by the Economic Research Service of the U.S. Department of Agriculture to provide a county-based delineation of functional regions that covered the entire U.S. and linked rural areas to their nearest economic center. The commuting zones presented here update the 2010 era definitions. Additionally, this new delineation incorporates measures of quality to facilitate comparison with earlier decades and to account for the fact that the quality of commuting-based delineations may have been substantially affected by changing patterns of work and residence during and after the covid-19 pandemic. The methodology used here seeks to replicate as nearly as possible the method employed in earlier versions of this delineation using hierarchical clustering on a proportional flows matrix generated from county to county commuting flows. The data and all scripts used to generate them and this paper are available at https://github.com/csfowler/CommutingZones2020.git.

The effect of flexible working arrangements on educator performance in Indonesia

PurposeThis study aims to investigate the implementation of flexible working arrangements and satisfaction, family work conflicts and the performance of educators. The potential benefits of FWA implementation for life balance highlight the importance of this research. The study’s results can be used as study material to make policies on implementing FWA for educators.Design/methodology/approachThe research uses the survey method and conducts interviews with educators who are selected and willing to be interviewed. The research sample was taken by the non-probability sampling method from 245 participants. The analysis used is PLS-SEM.FindingsThe findings indicated that flexible working arrangements had no impact on job satisfaction. The variable that has the greatest influence on determining the performance of educators is job satisfaction.Originality/valueThe study provides information about the application of flexible working arrangements, provides flexibility for educators to change work schedules, do work from anywhere, regulate work patterns and regulate work duration. This study is unique as it focuses more on flexible work arrangements related to remote work arrangements for educators, as the authors understand that no previous study was conducted.

The impact of robotic working patterns on employee work life and job satisfaction: evidence from ethnic minority businesses in the UK

The impact of robotic working patterns on employee work life and job satisfaction: evidence from ethnic minority businesses in the UK

Scenario Modeling for Dentistry in Malaysia: Utilization, Privatization, and Specialization

Abstract Aim: To study to model future clinical dental workforce scenarios in Malaysia, in relation to population need–demand, to inform future change. Materials and Methods: A system dynamics (SD) model was developed in Vensim-software to model the need/demand and supply for dental care across public–private sectors over 3 decades (2010–2040). This model included two sub-models relating to “need/demand” and “supply,” drawing on national evidence from two previous studies (student career surveys and interviews of key stakeholders nationally), together with relevant available data. This SD model provided the baseline model (S1) for Malaysia and four-distinctive-scenarios (S2–5), involving enhancing generalists–specialists across public–private sectors. An additional scenario (S6) was run to optimize workforce utilization, informed by career expectations of emerging graduates drawing on earlier scenarios (S2–5). Results: Modeling future five-scenarios highlighted the gap in dental workforce nationally across both sectors could range from a surplus of a total of 3739 dentists and 817 therapists in the baseline scenario to a total shortfall of 1249 dentists and surplus of 817 therapists by the year 2040, influenced by dentist working patterns, specialization, and privatization. Increasing the potential for specialist training and permitting emerging graduates’ to working part-time, while optimizing public sector primary care, and responding to the career expectations of emerging graduates, has the potential to absorb potential oversupply, and, thus, utilize the entire clinician dental workforce in Malaysia in the medium term. Conclusion: The findings of this model demonstrate the short-term requirement to expand the Malaysian dental workforce to meet dental needs of the population, highlighting that continued production at the current rate will result in oversupply, unless action is taken to maximize primary care, enhance specialization, and embrace flexible working to meet career expectations of graduates.