working environment
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ABSTRACT When the working system is in demand of more efficiency, individual resource stress is felt. Perception of stress occurs when there is a mismatch between the expectations and accomplishment. Because of workload and working environment seen in hospitals, health professionals frequently suffer from stress. In India prevalence of occupational stress amongst nurses has been estimated to be 87.4%. The present study was planned for assessing factors affecting occupational stress among Intensive Care Unit (ICU) nurses. So the Nurse manager and Chief of the hospital should take initiatives to overcome this problem and help them reduce the job stress by providing commensurate workload according to their abilities and lend proper recognition to their efforts and skills, and motivate them to contribute their thoughts to take decisions in their work, assign them responsibilities to do their work and help them improve their relations with their co-workers. Key Words: Job Stress, Intensive care unit, Workload.

The study’s objective is to determine factors impacting employees’ job satisfaction at Vinh Long Radio and Television (TV) Station. The authors used convenient sampling to collect data from 233 employees working at Vinh Long Radio and TV Station. The exploratory factor analysis and multivariable linear regression help the study find seven factors affecting job satisfaction. They include nature of work, training and promotion, income, leadership, colleagues, working environment, work pressure, and work autonomy. In which, work pressure has the most negative influence on job satisfaction of employees working at Vinh Long Radio and TV Station.

COVID-19 confronted many people with an abrupt shift from their usual working environment to telework. This study explores which job characteristics are perceived as most crucial in this exceptional situation and how they differ from people’s previous working conditions. Additionally, we focus on job crafting as a response to this situation and how it is related to employees’ well-being. We conducted an online survey with N = 599 participants, of which 321 reported that they were telework newcomers. First, we asked participants to indicate the three most important advantages and disadvantages they see in telework. The subsequent questionnaire contained a comprehensive measure of working conditions before and during the pandemic, job crafting behaviors, and indicators of well-being. Based on the qualitative answers, we identified three major advantages and disadvantages. Quantitative results indicate perceived changes in all job characteristics for telework newcomers. Concerning working conditions and well-being, job crafting activities that aim to increase structural and social resources are important mediators. The findings underline the need to design appropriate telework conditions and encourage job crafting activities to foster occupational well-being.

Despite growing attention to job satisfaction as a social determinant of alcohol-related behaviors, few studies focus on its diverse impacts on alcohol consumption. Using data from the China Family Panel Study in 2018, this study uses logistic regression analysis to examine how job satisfaction affects alcohol consumption in China, finding that people who were satisfied with their jobs were more likely to be regularly drinking. Employed people who were satisfied with their working environment and working hours were more likely to regularly drink, but those who were satisfied with their wages and working security were less likely to be regularly drinking. Findings suggest that the link between job satisfaction and alcohol consumption is dynamic. Employment policies, working wellbeing improvement programs, and alcohol policy improvement should, therefore, be designed on the basis of a comprehensive account of entire job-related attitudes.

AbstractThe aim of this systematic review was to summarize and synthesize research results focusing on the work environment of employees with an immigrant background in Sweden. We focus on the main conditions identified in the working environment of immigrant employees and how these conditions may affect their health and well-being. The concept of “minority stress” and the attachment theory are used to understand and interpret the findings. We systematically searched for literature published between the years of 1990 and 2020 in four databases, Web of Science, PubMed, SocIndex, and Academic Search Elite. We started the selection process by reading title and abstracts, then proceeded to read a selection of full-text studies and eliminated those that did not fulfil the inclusion criteria. We did a quality assessment on the full-text studies based on the MMAT-tool, and then performed a narrative synthesis of the results. The results show that immigrants experience several stressors in their work environment, including physical, psychological, and social risks. These risks are, among other things, associated with the nature of the jobs that immigrants are overrepresented in, with minority-related stressors such as discrimination, harassment, and threats on the basis of ethnic background, and with the lack of social support from managers and colleagues. Results also highlight beneficial factors in the immigrants’ working environment and show the importance of a supportive, inclusive, and empowering management. Our main conclusion is that Swedish workplaces need to introduce more active measures to raise awareness of and combat workplace discrimination, work harder to promote inclusion at the workplace, and eliminate physical, psychological, and social health hazards specific to immigrant employees. The leadership and management have an important role to play here, as does the employees’ trade unions and its special functions.

The COVID-19 pandemic forced the accessibility, social gathering, lifestyle, and working environment to be changed to reduce the infection. Coronavirus spreads between people in several different ways. Small liquid particles (aerosols, respiratory droplets) from an infected person are transmitted through air and surfaces that are in contact with humans. Reducing transmission through modified heating, ventilation, and air conditioning (HVAC) systems and building design are potential solutions. A comprehensive review of the engineering control preventive measures to mitigate COVID-19 spread, healthy building design, and material was carried out. The current state-of-the-art engineering control preventive measures presented include ultraviolet germicidal irradiation (UVGI), bipolar ionization, vertical gardening, and indoor plants. They have potential to improve the indoor air quality. In addition, this article presents building design with materials (e.g., copper alloys, anti-microbial paintings) and smart technologies (e.g., automation, voice control, and artificial intelligence-based facial recognition) to mitigate the infections of communicable diseases.

The adoption of recommender systems in online news personalization has made it possible to tailor the news stream to the individual interests of each reader. Previous research on commercial recommender systems has emphasized their use in large-scale media houses and technology companies, and real-world experiments indicate substantial improvements of click rates and user satisfaction. It is less understood how smaller media houses are coping with this new technology, how the technology affects their business models, their editorial processes, and their news production in general. Here we report on the experiences from numerous Scandinavian media houses that have experimented with various recommender strategies and streamlined their news production to provide personalized news experiences. In addition to influencing the content and style of news stories and the working environment of journalists, the news recommender systems have been part of a profound digital transformation of the whole media industry. Interestingly, many media houses have found it undesirable to automate the entire recommendation process and look for approaches that combine automatic recommendations with editorial choices.

Interventional surgical robots are widely used in neurosurgery to improve surgeons’ working environment and surgical safety. Based on the actual operational needs of surgeons’ feedback during preliminary in vivo experiments, this paper proposed an isomorphic interactive master controller for the master–slave interventional surgical robot. The isomorphic design of the controller allows surgeons to utilize their surgical skills during remote interventional surgeries. The controller uses the catheter and guidewire as the operating handle, the same as during actual surgeries. The collaborative operational structure design and the working methods followed the clinical operational skills. The linear force feedback and torque feedback devices were designed to improve the safety of surgeries under remote operating conditions. An eccentric force compensation was conducted to achieve accurate force feedback. Several experiments were carried out, such as calibration experiments, master–slave control performance evaluation experiments, and operation comparison experiments on the novel and previously used controllers. The experimental results show that the proposed controller can perform complex operations in remote surgery applications and has the potential for further animal experiment evaluations.

Hispanic/Latino and migrant workers experience high degrees of occupational stress, constitute most of California’s agricultural workforce, and were among the most impacted populations by the COVID-19 pandemic. However, relatively little is known about the occupational stress experienced by farmworkers who commute daily between the US and Mexico. Occupational stress is considered an imbalance between the demands at work and the capabilities to respond in the context of the workforce. The goal of this study is to determine the type and severity of stressors in daytime and resident farmworkers and how COVID-19 vaccination status contributes to these stressors. Interviews containing the Migrant Farmworker Stress Inventory (MSWSI) were administered to a sample of 199 Hispanic/Latino farmworkers in Imperial County, a multi-billion-dollar agriculture sector in the US. Principal factor analysis differentiated latent factors in the MFSWI. Simple linear regression models and correlations identified associations between MFWSI scores and sample characteristics. The MFWSI reduced to five stressor domains: Health and Well-Being Vulnerabilities, Inadequate Standards of Living/Unknown Conditions of Living, Working Conditions, Working Environment, and Language Barriers. Approximately 40 percent of the respondents reported significant stress levels, with foreign-born (p = 0.014) and older respondents (p = 0.0415) being more likely to experience elevated stress regardless of their nighttime residence. We found that Spanish-language COVID-19 outreach might have been particularly effective for workers who reported high stress from English-language communication (p = 0.001). Moreover, our findings point to the importance of worker and human rights to mitigate the high-stress foreign-born workers who live in Mexico and the US experience.

Applications of mobile robots are continuously capturing the importance in numerous areas such as agriculture, surveillance, defense, and planetary exploration to name a few. Accurate navigation of a mobile robot is highly significant for its uninterrupted operation. Simultaneous localization and mapping (SLAM) is one of the widely used techniques in mobile robots for localization and navigation. SLAM consists of front- and back-end processes, wherein the front-end includes SLAM sensors. These sensors play a significant role in acquiring accurate environmental information for further processing and mapping. Therefore, understanding the operational limits of the available SLAM sensors and data collection techniques from a single sensor or multisensors is noteworthy. In this article, a detailed literature review of widely used SLAM sensors such as acoustic sensor, RADAR, camera, Light Detection and Ranging (LiDAR), and RGB-D is provided. The performance of SLAM sensors is compared using an analytical hierarchy process (AHP) based on various key indicators such as accuracy, range, cost, working environment, and computational cost.