Search Results (11,337)

This paper proposes a modular protocol for the designing of experimental studies to analyze exoskeletons used in industrial settings to support manual material handling (MMH). Despite exoskeleton technologies starting to be highly commercialized and present in workplaces, research still lacks a standardized procedure for analyzing the impact of these devices on workers. The protocol presented in this paper outlines a step-by-step procedure, including the parameters to be collected and analyzed in a research study. Moreover, the approach could be easily adapted to meet the specificity of a wide range of exoskeletons. The main novelty of the protocol is thus to support the experimental design and analysis of studies assessing the overall impact of exoskeletons on workers. To implement the protocol, the selected case study concerned a palletizing task involving the MMH of 12 cardboard boxes, weighing 10 kg. The results from physiological signals and pressure insoles show that the protocol is comprehensive and can be utilized by researchers evaluating different occupational exoskeletons for assistance during MMH (both active and passive), with modifications to specific parts based on the type of exoskeleton being assessed or the variables of interest. Full article

Mpox, also known as Monkeypox, is an infectious disease known to spread via direct contact and fomites, which poses a significant contagion risk in surgical settings and may increase the challenges already posed by COVID-19. Within the three years following the outbreak of Mpox, we conducted a review of the impact of Mpox on surgical practice. We searched Pubmed/Medline and Scopus, focusing on original studies and case reports in English or German. Our search terms included “Mpox”, “Monkeypox”, and “Surgery”. Out of 60 clinical or epidemiological studies, as well as expert opinions, brief reports, and pertinent literature reviews, eight were included after full-text assessment. We also incorporated two pertinent literature reviews, including a total of 10 papers, in this analysis. The main topics addressed by the literature are 1. manifestations of Mpox for surgical consideration or urgent management, for which it is important to consider whether a surgical approach is needed to address long-term Mpox-related lesions and 2. infection control in surgical settings, especially considering its impact on elective surgery and the well-being of healthcare workers. Mpox could affect surgical services and access to operating theaters. Unlike COVID-19, Mpox, compared to initial concerns, has not substantially compromised surgical delivery. However, limited reports exist on the surgical impact of Mpox. It is crucial to involve surgeons in Mpox diagnosis, educate surgical practitioners on its mimicry of common surgical conditions, enhance infection control during surgery, and ensure access to corrective surgery as a means of tackling the stigmatization associated with Mpox and sexually transmitted diseases in general. Full article

The emergence of the coronavirus pandemic in 2020 posed a new challenge, imposing extraordinary physical and psychological burdens on healthcare workers, clearly exacerbating and intensifying career abandonment. Objectives: The aim of our study was to explore the motivating factors among nurses serving during the coronavirus pandemic that they considered important in their profession despite the mental and physical stress brought about by the pandemic. Methods: A descriptive, cross-sectional study was conducted at the University of Pécs-Clinical Center-Regional Coronavirus Care Center between September 2022 and December 2022. We used non-random, expert, purposive sampling, recruiting healthcare workers who had spent at least 3 months working in a COVID ward (n = 196). Data collection was conducted by using an online, anonymous questionnaire, which included sociodemographic questions, the “Motivation at Work Scale”, and a self-edited six-item questionnaire. Results: Regarding the 5-year probability of remaining in the healthcare field, nine participants (4.5%) will definitely leave the healthcare sector, twenty-seven participants (13.7%) are undecided, and seventy-eight participants (39.7%) will definitely stay in the healthcare field over the next 5 years. There is a positive, weak, but significant correlation between intrinsic motivation and the probability of leaving the profession within 5 years (r = 0.281; p < 0.05). We identified a significant, negative, and weak correlation between the number of revisited waves of the coronavirus and the fear of redeployment to the COVID ward (r = −0.273; p < 0.05). Conclusions: Despite the challenges posed by the coronavirus pandemic, only a small percentage of nurses consider leaving the healthcare profession. Joy and enjoyment in their work were dominant factors even during the pandemic. Full article

Background and Objectives: Limited research has focused on the relationship between cancer, job loss, and factors associated with job loss among older workers. Therefore, in this study, we aimed to examine the relationship between cancer and intention to leave and between physical-health-related issues, mental-health-related issues, and cancer-related symptoms and intention to leave among older workers with cancer. Materials and Methods: This cross-sectional internet-based study included 4498 workers aged 60–75 years. Intention to leave was assessed based on whether individuals considered quitting their current jobs in the near future. Results: A multivariate logistic regression analysis showed a significant association between cancer and intention to leave (adjusted odds ratio [aOR]: 1.42, 95% confidence interval [CI]: 1.01–2.00, p = 0.045). In addition, physical-health-related issues (aOR: 2.33, 95% CI: 1.10–4.92, p = 0.026) and mental-health-related issues (aOR: 4.44, 95% CI: 1.80–10.98, p = 0.001) were significantly associated with the intention to leave. Conclusions: Healthcare providers and employers must address the physical- and mental-health-related issues facing older workers with cancer to help them secure their employment. Full article

Depression is a significant risk factor for other serious health conditions, such as heart failure, dementia, and diabetes. In this study, a quantitative method was developed to detect depressive states in individuals using electrocardiogram (ECG) and photoplethysmogram (PPG) signals. Data were obtained from 59 people affiliated with the high-specialized medical center of Bajio T1, which consists of medical professionals, administrative personnel, and service workers. Data were analyzed using the Beck Depression Inventory (BDI-II) to discern potential false positives. The statistical analyses performed elucidated distinctive features with variable behavior in response to diverse physical stimuli, which were adeptly processed through a machine learning classification framework. The method achieved an accuracy rate of up to 92% in the identification of depressive states, substantiating the potential of biophysical data in increasing the diagnostic process of depression. The results suggest that this method is innovative and has significant potential. With additional refinements, this approach could be utilized as a screening tool in psychiatry, incorporated into everyday devices for preventive diagnostics, and potentially lead to alarm systems for individuals with suicidal thoughts. Full article

Most large aerospace cylindrical components still adopt a manual aligning method with low automation, large manual intervention, and heavy dependence on operator workers, resulting in the low quality and efficiency of large component aligning, which seriously prolongs the manufacturing time of aerospace products. To cope with this issue, based on closed-loop adaptive control and digital twin (DT) technologies, an adaptive aligning system for large cylindrical components, i.e., the DT aligning system, is proposed in this study. For the DT aligning system, through the DT multi-dimensional modeling, i.e., geometric modeling, physical modeling, functional modeling, and data modeling, it can be divided into a physical space, a virtue space, and twin data. Note that the association, mapping, and interaction between physical space and virtual space of the aligning system can be realized via the twin data, thereby realizing real-time virtual display, monitoring, and control of the large component aligning. In addition, based on the measured pose data, aligning stress, and predicted aligning error, an adaptive force/position control method for large component aligning is proposed, and it can achieve real-time decision-making and precise execution of the aligning process. Finally, through application validation, the DT process system can realize the real-time status perception and process execution decision during the large component aligning. Finally, through experimental validation, it is found that the proposed system, i.e., the DT aligning system, can improve the quality and efficiency of the large aerospace cylindrical component aligning, as well as the automation and intelligent level of the aligning system. Full article

As the organizational environment becomes more volatile, uncertain, complex, and ambiguous, and the economy becomes increasingly knowledge-based, organizational knowledge management is key for companies’ success. This is especially important as organizational ties are weaker and job-hopping becomes a more prevalent phenomenon. As human resource mobility increases, companies must ensure that knowledge remains within the company despite employee exit. In this context, the current study sought to understand how leaders’ actions can facilitate employee knowledge sharing, focusing on paradoxical leadership. Besides examining the impact of paradoxical leadership on employees’ propensity to adopt knowledge-sharing behaviors, this study also explored the effects of one potential intervening variable (i.e., promotive voice behavior) and one potential boundary condition (i.e., trust in the leader) on this relationship. A two-wave time-lagged correlational study was conducted with a sample of 154 workers from various sectors. The results of moderated mediation analysis suggest that paradoxical leaders indirectly promote greater knowledge-sharing among subordinates by fostering their promotive-voice behaviors, but only for those with high levels of trust in the leader. The implications of these findings for current organizational challenges regarding knowledge management are discussed. Full article

The Varroa destructor is the most significant bee parasite and the greatest threat to bee health all around the world. Due to its hidden lifestyle, detection within the brood cell is only possible through invasive techniques. Enhancing detection methods is essential for advancing research on population dynamics, spread, selection efforts, and control methodologies against the mite. In our study, we employed infrared imaging to measure the thermal differences in parasite and intact Apis mellifera worker broods. Experiments were conducted over two years at the MATE Kaposvár Campus in Hungary involving five beehives in 2022 and five beehives in 2023. A FLIR E5-XT WIFI handheld infrared camera was used to create a heat map of capped brood frames. Our results indicate that the resolution of these cameras is sufficient to provide detailed IR images of a bee colony, making them suitable to detect temperature differences in intact and Varroa parasitized capped brood cells. Mite parasitism causes a time-dependent and sustained temperature increase in developing bee pupae, observable regardless of mite number. Our work demonstrates two different heating patterns: hotspot heating and heating cells that are responsible for the elevated temperature of the Varroa-infested cells as a social fever response by the worker bees. Based on our results, future research combined with AI-based image evaluation software could offer beekeepers and researchers practical and valuable tools for high-throughput, non-invasive Varroa detection in the field. Full article

The second victim phenomenon (SVP) refers to workers negatively impacted by involvement in unanticipated adverse events or errors. While this phenomenon has been extensively studied in healthcare since its acknowledgment over 20 years ago, its presence and management in other high-risk industries have remained unclear. We conducted a scoping review aiming to map the SVP in non-healthcare industries, as well as to explore the available interventions or support programs addressed to help second victims (SVs). A total of 5818 unique records were identified and, after the screening process, 18 studies from eight sectors were included. All industries acknowledged the existence of the SVP, though many did not use a specific term for defining the SV. Similarities in psychological and emotional consequences were found across sectors. Support strategies varied, with the aviation sector implementing the most comprehensive programs. Self-care and peer support were the most reported interventions, while structured clinical support was not mentioned in any industry. Our review highlighted a lack of standardized terminology and industry-specific, evidence-based support interventions for the SVP outside of healthcare. Healthcare appears to be at the forefront of formally recognizing and addressing the SVP, despite traditionally learning from other high-reliability industries in safety practices. This presents opportunities for reciprocal learning and knowledge transfer between healthcare and other high-risk sectors. Full article

Burnout is a primary psychosocial risk factor in the workplace. Mental health stigma, which includes negative cognitions, emotions, and behaviors, also undermines the performance of social healthcare professionals. This study aimed to explore the levels of burnout in a sample of community social healthcare workers as well as its relationships with variables such as stigma towards mental health problems, professional skills, and job characteristics. An online assessment was conducted with 184 social healthcare professionals (75.5% female, mean age = 40.82 years, SD = 9.9). Medium levels of burnout and stigma and high levels of professional skills were observed. Multiple linear regression analyses revealed that stigma towards mental health problems and professional skills predicted emotional exhaustion (R² = 0.153, F(4, 179) = 9.245, p < 0.001), depersonalization (R² = 0.213, F(3, 180) = 17.540, p < 0.001), and personal accomplishment (R² = 0.289, F(5, 178) = 15.87, p < 0.001). These findings suggest that social healthcare systems could benefit from taking care of the mental health of their workers by addressing burnout, tackling negative attitudes towards mental health problems, and providing professional skills training. This would help to make social healthcare systems more inclusive and of higher quality, thereby reducing health costs. Full article

Clozapine is the only approved antipsychotic for refractory schizophrenia to date. It can cause a range of serious and fatal adverse effects, including Clozapine-Induced Gastrointestinal Hypomotility (CIGH). While guidance is readily available to help manage CIGH effectively in hospital inpatients, practical recommendations applicable to the community (outpatient) setting are lacking. This project set out to improve the prevention, detection and management of CIGH in psychiatric outpatients. An initial baseline audit followed by quality improvement work was undertaken in a busy support worker-run community clozapine clinic focusing on, education and training, risk assessments and clinical documentation. The project was registered and managed using the Life QI web-based platform, where a set of primary and secondary drivers were defined and change ideas were executed. Qualitative and quantitative data were collected over a three-month period, demonstrating a significant improvement in clinical documentation (up from 36% to 99%). 23% of enhanced risk assessments resulted in treatment recommendations, modifiable risk factors were proactively discussed in 53% of clinic appointments and 65% of patients were provided with additional written information on CIGH. It was evident from staff and our patient feedback that further efforts would be required to continue to raise awareness about harms of unmanaged constipation among this client group. Future approaches may include enhanced collaborative efforts with primary care, and improving the skill mix in existing clozapine clinics, which could include the utilisation of mental health pharmacists. Full article

The mining industry faces significant challenges in production costs, environmental protection, and worker safety, necessitating the development of autonomous systems. This study presents the design and implementation of a robust rock centroid localization system for mining robotic applications, particularly rock-breaking hammers. The system comprises three phases: assembly, data acquisition, and data processing. Environmental sensing was accomplished using a Basler Blaze 101 three-dimensional (3D) Time-of-Flight (ToF) camera. The data processing phase incorporated advanced algorithms, including Bird’s-Eye View (BEV) image conversion and You Only Look Once (YOLO) v8x-Seg instance segmentation. The system’s performance was evaluated using a comprehensive dataset of 627 point clouds, including samples from real mining environments. The system achieved efficient processing times of approximately 5 s. Segmentation accuracy was evaluated using the Intersection over Union (IoU), reaching 95.10%. Localization precision was measured by the Euclidean distance in the XY plane (ED_XY), achieving 0.0128 m. The normalized error (e_norm) on the X and Y axes did not exceed 2.3%. Additionally, the system demonstrated high reliability with R² values close to 1 for the X and Y axes, and maintained performance under various lighting conditions and in the presence of suspended particles. The Mean Absolute Error (MAE) in the Z axis was 0.0333 m, addressing challenges in depth estimation. A sensitivity analysis was conducted to assess the model’s robustness, revealing consistent performance across brightness and contrast variations, with an IoU ranging from 92.88% to 96.10%, while showing greater sensitivity to rotations. Full article

In the face of global environmental challenges, Malaysia, like many nations, is seeking to improve its environmental sustainability, and understanding how demographic factors influence individuals’ perceptions, attitudes, and readiness toward End-of-life Vehicle (ELV) management practices is crucial for developing effective policies and interventions. This study, which involved 630 participants of various age groups and employment backgrounds, examines the relationship between demographics and environmental awareness and readiness with a specific focus on the management of ELV. Significant findings reveal that younger individuals, particularly those aged 18 years, are actively engaged in environmental concerns, and the gender distribution is nearly equal, emphasizing a shared interest in ELV practices among men and females. Malays constitute the majority ethnic group, underlining the need for culturally sensitive and inclusive policies, and government employees exhibit greater knowledge about ELVs, while education levels positively correlate with awareness of ELVs. Positive attitudes are predominantly observed among private sector workers and government employees, with semi-government employees demonstrating the highest readiness for ELV initiatives, while the unemployed exhibit the lowest readiness. This research underscores the importance of demographic factors in shaping attitudes, knowledge and readiness concerning ELV management practices in Malaysia, highlighting the need for targeted strategies and interventions tailored to specific demographic groups, which are crucial for policy development and the promotion of sustainable practices, contributing to global environmental conservation efforts. Full article

Background: Neck pain (NP) is a prevalent musculoskeletal disorder, especially among individuals with sedentary occupations. The interplay between cervical and thoracic spine mobility is hypothesized to contribute significantly to NP severity, yet this relationship requires further exploration. Methods: This cross-sectional study involved 179 young white-collar workers with NP lasting for at least six weeks. Participants were stratified into mild (n = 78) and moderate (n = 101) pain groups based on their scores on the Northwick Park Neck Pain Questionnaire (NPQ). Cervical and thoracic range of motion (ROM) in the sagittal plane was measured using inclinometers. NP severity was further assessed using the NPQ and the Neck Disability Index (NDI). Correlation, regression, and mediation analyses were conducted to investigate the relationship between cervical and thoracic ROM and NP severity. Results: Thoracic ROM was higher in the mild pain group (median: 47.35, IQR: 10.13) than in the moderate pain group (median: 42.10, IQR: 13.60; p < 0.001). The NDI had a negative correlation with thoracic ROM (r = −0.65; p < 0.05) and a positive correlation with cervical ROM (r = 0.84; p < 0.01). Additionally, thoracic ROM mediated the effect of cervical ROM on NP, particularly influencing NDI scores (p < 0.01). Conclusions: This study found a significant association between reduced thoracic ROM and increased NP severity, highlighting the role of thoracic spine mobility in NP among young white-collar workers. Targeted interventions for thoracic dysfunction may reduce compensatory cervical strain and improve NP management, suggesting that thoracic spine assessments should be integrated into routine clinical evaluations. Full article

The construction sector is known for exposing workers to numerous potential hazards, with falls from heights being the leading cause. These fatal fall accidents not only result in human loss but also impose significant financial costs on construction projects. However, current safety planning and management is typically carried out manually using safety documents and 2D models, which are time-consuming and labor-intensive. There is also a lack of visualization for the placement of temporary safety facilities (TSFs) during construction. Meanwhile, Building Information Modeling (BIM) has the potential to be used as a comprehensive workspace planning for TSFs in a scheduling manner. Therefore, this study proposes the development of a construction safety dashboard to inform workers about fall hazards using spatial–temporal data stored in 4D BIM. The proposed approach includes four modules: (1) identification and assessment of risk from identified work activities, (2) development of 4D BIM model, (3) creation of a dashboard to share safety knowledge, and (4) validation of the dashboard through interviews with safety managers and site workers. This approach is tested on a stadium project, particularly focusing on roof work activities, where workers are most prone to fall hazards. The proposed method aims to provide ease for site workers to access safety knowledge, including risk identification (including risk, fatality, location, and time), visualization of TSFs, personal protective equipment, and safety work instructions. This interactive dashboard also enables safety managers to plan safety measures, allocate TSFs efficiently, and make well-informed decisions to effectively mitigate risks. Full article