Working Conditions Research Articles

Ride-hailing drivers’ working conditions and social protection in China

ABSTRACT This article aims to examine ride-hailing drivers’ working conditions and social protection in China. Through interviews with 25 ride-hailing drivers in Beijing, we found that their working conditions are precarious, stressful, surveilled, and their social protection exhibits features of inadequacy and fragmentation. They are excluded from social insurance for urban employees due to the lack of a formal employment relationship. Instead, they largely participate in the medical insurance for residents, but its insurance benefits are much lower than those for urban employees. Furthermore, citizens’ participation in residents’ medical insurance is determined by their hukou (i.e. household registration) residency. Internal migrant drivers are only entitled to be insured at their origin where their hukou is located. Despite working in the same occupation and living in the same city, internal migrant drivers and Beijing-native drivers have distinct social insurance benefits. Thus, we propose the binary classification of de jure/de facto residency, which contributes to a deeper understanding of social protection for non-standard forms of employment.

Remediate and sense: alginate beads empowered by portable electrochemical strips for copper ion removal and detection at environmental sites.

The contamination of environmental sites due to the presence of persistent species represents an important issue to be tackled. In particular, the presence of high levels of metals in soil and surface water is more frequent. One of the metals that sometimes exceeds the permissible limit set by regulatory authorities is copper. For instance, copper-based fungicides are widely used in viticulture. However, copper ions remain in soil and can enter the food chain, posing threats to human health and environmental safety. Although the rapid detection of copper ions using portable sensors is effective in enhancing early warning, it sometimes solves only half of the problem as remediation is not considered. In this paper, we present a novel integrated/portable approach that merges the remediation and sensing of metals by proposing a remediate-and-sense concept. In order to realize this concept, alginate beads were coupled with printed electrochemical strips for on-site copper detection. Within the same architecture, alginate beads were used to remove copper ions from the soil, and printed electrochemical strips were used to evaluate the efficacy of remediation at the point of need. The concept was applied towards soil containing copper ions at the parts per billion level; with few alginate beads and in the absence of additional species, copper ions were quantitatively removed from the matrix; and 3D printing allowed us to combine the printed strips and spheres within a unique tool. The architecture was optimized and the results were compared to inductively coupled plasma-mass spectrometry (ICP-MS) measurements with a recovery percentage of 90%-110%. It should be noted that this novel portable approach may be applied to other pollutants, opening new possibilities for integrated remediation and sensing.

Support needs for return to work among self-employed workers: A focus group study.

The aim of this study is to gain insight into the facilitators, barriers, and support needs of Dutch self-employed workers when returning to work (RTW) after sick leave. Three focus groups were conducted, involving 15 Dutch self-employed workers who were on sick leave due to health problems. The transcripts were analysed through thematic content analysis. Five main themes regarding barriers, facilitators and needs of self-employed workers to RTW were identified: autonomy, social support, client management, financial security and information on sick leave. Having autonomy was considered a facilitator for RTW. However, the participants expressed a need for more financial support, additional guidance from occupational health professionals, and tailored information regarding RTW. The results of this study emphasize a need for optimizing national policy and support for self-employed workers regarding sick leave and RTW.

Work-related musculoskeletal complaints: risk factors and impact on work productivity among university administrative employees

BackgroundWork-related musculoskeletal disorders (WMSDs) are a significant workplace problem leading to loss of productivity and disability. Administrative workers perform computer-based tasks for long periods. Consequently, they are at risk of developing musculoskeletal disorders. The objective of this study was to explore the frequency and risk factors of work-related musculoskeletal complaints and their impact on work productivity among administrative employees of Suez Canal University, Egypt.MethodsThis cross-sectional study was conducted on 300 administrative employees through simple random sampling. Data were collected by an interview questionnaire including sociodemographic, work-related data, ergonomic and psychological risk factors, the Nordic Musculoskeletal Questionnaire (NMQ), and the World Health Organization Health and Work Performance Questionnaire (HPQ).ResultsThe frequency of work-related musculoskeletal complaints in at least one anatomical region over the past year was 74.7%. Neck (47.1%), lower back (40.7%), and shoulder (36.3%) were the most reported sites of complaints. Risk factors significantly associated with work-related musculoskeletal complaints were gender, age, physical activity, work experience, workplace stress, sustained body position, awkward posture, and inadequate rest breaks. Logistic regression revealed that older age (OR = 1.039, p = 0.023), being female (OR = 2.175, p = 0.011), and not having adequate rest breaks (OR = 1.979, p = 0.019) were significant predictors for the occurrence of WMSDs. The risk factors of absenteeism include gender, age, marital status, educational level, physical activity, BMI, work experience, and musculoskeletal complaints.ConclusionMusculoskeletal problems were highly prevalent among administrative employees. Being female and not having adequate rest breaks were significant predictors for the occurrence of WMSDs. Ergonomic interventions and improvement of working conditions are recommended to reduce WMSDs.

Occupational Safety and Health Implementation Model in Construction Safety Management System Based on PUPR Minister Regulation Number 10 Of 2021 to Support Infrastructure Development in East Java Province

Occupational Safety and Health Implementation Model in Construction Safety Management System Based on PUPR Minister Regulation Number 10 Of 2021 to Support Infrastructure Development in East Java Province

Spinel Nanostructures for the Hydrogenation of CO2 to Methanol and Hydrocarbon Chemicals.

Composite oxides have been widely applied in the hydrogenation of CO/CO2 to methanol or as the component of bifunctional oxide-zeolite for the synthesis of hydrocarbon chemicals. However, it is still challenging to disentangle the stepwise formation mechanism of CH3OH at working conditions and selectively convert CO2 to hydrocarbon chemicals with narrow distribution. Here, we investigate the reaction network of the hydrogenation of CO2 to methanol over a series of spinel oxides (AB2O4), among which the Zn-based nanostructures offer superior performance in methanol synthesis. Through a series of (quasi) in situ spectroscopic characterizations, we evidence that the dissociation of H2 tends to follow a heterolytic pathway and that hydrogenation ability can be regulated by the combination of Zn with Ga or Al. The coordinatively unsaturated metal sites over ZnAl2Ox and ZnGa2Ox originating from oxygen vacancies (OVs) are evidenced to be responsible for the dissociative adsorption and activation of CO2. The evolution of the reaction intermediates, including both carbonaceous and hydrogen species at high temperatures and pressures over the spinel oxides, has been experimentally elaborated at the atomic level. With the integration of a series of zeolites or zeotypes, high selectivities of hydrocarbon chemicals with narrow distributions can be directly produced from CO2 and H2, offering a promising route for CO2 utilization.

Impact of COVID-19 on Profession and Health of Female Sex Workers: Apprehension, Acquiescence, and Resilience.

In Surat city of Gujarat, India, female sex workers (FSW)-based targeted interventions (TI) and community-based organizations (CBO) have been functioning since 1998. To document the impact of the COVID-19 lockdown (March-May 2020) on FSWs and STI/RTI/HIV preventive measures provided through TI/CBOs in Surat city, sequential, explanatory mixed-methods design was used. We conducted a desk review of quarterly programmatic data (2018-2020) of four TIs and CBOs and interviewed of 221 FSWs to study pre- and post-lockdown socioeconomic conditions, engagement in sex work, health services during COVID-19 lockdown and coping strategies, followed by five focus group discussions of FSWs and TI/CBO project staff. Study identified four major themes: reasons for working as a FSW during COVID-19 lockdown, entry to sex work during or as a consequence of lockdown, exploitation of FSWs during lockdown, and challenges of TI and CBOs in service provision in pandemic situation. Number of new registrations and STI/RTI detection increased immediately after lockdown. TI/CBO and other NGOs working for women welfare must build financial independence by training them in microeconomics, savings, and entrepreneurship. TI/CBO staff must also include experts in finance or business, trained in emergency response. The presence of strong TI/CBO network facilitated prompt delivery of essential commodities and financial aid to FSWs. However, laboratory and screening services were hampered, which warrants need of introducing self-test kits. In backdrop of decrease in condom distribution, continuation of sex work during lockdown and disruption of routine HIV/STI/RTI screening facilities, our study also recommends intensified HIV/STI/RTI screening among FSWs.

Prevalence of Work-Related Repetitive Stress Injuries amongst the Health Care Workers in Large Tertiary Care Hospital

Prevalence of Work-Related Repetitive Stress Injuries amongst the Health Care Workers in Large Tertiary Care Hospital

The challenge of improving work health and safety in global supply chains: Institutions and evidence of effectiveness

The challenge of improving work health and safety in global supply chains: Institutions and evidence of effectiveness

Quiet Quitting: The Need to Reframe a Growing Occupational Health Issue.

Quiet Quitting: The Need to Reframe a Growing Occupational Health Issue.

Exploring interactivity effects on learners’ sense of agency, cognitive load, and learning outcomes in immersive virtual reality: A mixed methods study

This study explored the effects of IVR interactivity on learners’ sense of agency, cognitive load, and learning outcomes. The research questions were: 1. “How does interactivity influence the learners’ sense of agency?” and 2. “How does interactivity influence the learners’ cognitive load and learning outcomes?” A mixed-methods experimental design was applied. Safety training interventions, including individually performed IVR scenarios, were held for 68 participants in groups of two to four persons in two work organizations. Single- and repeated-measure questionnaires were the main source of the quantitative data. Qualitative data collection by video recordings and stimulated recall interviews was carried out on 23 persons in total. The results indicate that high interactivity enables a stronger sense of agency for the learners and yields learning benefits by supporting generative cognitive processing. Based on the results, interactivity and learner involvement may be particularly important for achieving affective training goals. Considering the sociocultural and individual factors in training design and pre-briefing the learners are also recommended.

Equipment design and parameters recommendation of rubber modified 3D printed asphalt in pavement maintenance

As an advanced technology for pavement crack maintenance with high automation level, high precision and high efficiency, 3D asphalt printing technology can effectively improve worker safety and ensure the stability of maintenance quality. In order to optimize the printing parameters of rubber modified 3D printed asphalt (R-3DPA), a three-axis asphalt 3D printer was developed in this study through the design and selection of each component, and it was used for the 3D printing of R-3DPA strips, layers, and structures. Based on the comparison of continuity, uniformity, and width of R-3DPA strips, the recommended extrusion nozzle diameter, printing temperature, and printing speed parameter combinations were superiorly selected. According to the analysis of filling degree, width error and thickness of R-3DPA layers, the optimal printing strip width was recommended. Through the evaluation of integrity, surface characteristics and accuracy of R-3DPA structures, the suitable printing layer thickness was determined. The test results showed that the three-axis asphalt 3D printer can be used to measure the parameters of R-3DPA, and the printing accuracy and scale meet the requirements. The recommended parameters for R-3DPA are an extrusion nozzle diameter of 2 mm, a printing temperature of 180 °C, a printing speed of 20 mm/s, a printing strip width of 2.25 mm and a printing layer thickness of 0.4 mm, resulting in structures with good integrity and precision.

A pipeline corrosion detecting method using percussion and residual neural network

Corrosion of pipeline walls can lead to serious safety accidents such as leaks, fires and even explosions. This paper proposes a corrosion detection method using deep learning based on percussion sound for pipelines. The percussion induced acoustic signals are processed by wavelet threshold noise reduction and double threshold endpoint detection to generate the Mel spectrograms, and then an 18-layer residual network (ResNet18) is used to mine the depth information and classify the degree of pipeline corrosion. We conducted experiments to verify the validity of the approach. Seven working conditions are generated by electrochemical corrosion of a pipe specimen, and percussions are applied at five different positions under the same working conditions to collect the impact acoustic signals. The test results show that the method can quickly, efficiently and accurately detect the degree of pipeline corrosion, classify the degree of pipe corrosion without being affected by the striking position Therefore, the model has great potential for application in detecting the internal corrosion of pipelines based on percussion sounds.

Planning Policies and Public Health in Kurdistan Region of Iraq (KRI) and Its Policies to Combat COVID-19 in Duhok City

Purpose: The Kurdistan region of Iraq had been affect by the covid pandemic like the rest of the part in the world and Duhok city specifically faced several problems as the city and health policy were not ready to ace the crises. It had a negative impact on the sustainability of health sector specifically the economic side. This study tries to identify the problems to achieve tan appropriate standard of good health among Kurdistan's general population, especially in the city of Duhok, to ensure more equitable access to health services throughout the country's social and geographic expansion, take into account poverty and to strive to get better treatment, understand the condition of the city of Duhok via COVID-19, and how the government deals with the medical system in this condition, protect and encourage the right to health care for individuals and create equality in the health care system for both genders, beliefs and positions. Methodology: Through conducting the qualitative research approach by using two types for collecting data ( Data Collection Methods) which are primary data and secondary data, primary data for collecting direct information from patients and IDPs and refugees to know their health conditions and whether they are satisfied or not for public health system, physicians as well to know their treatment to patients, and secondary data to gather information from health directorate in Duhok city, camp health administration and humanitarian health organizations to understand better the situation. Findings: The findings of the study indicates that the pandemic struck at a time when public faith in the government was low, the economy was damaged by lower oil sales income, protests were common across the country, and violent extremist acts were on the rise. COVID-19 has worsened long-standing and sometimes deep-seated political, economic, social, and security issues. The COVID-19 pandemic has resulted in a dramatic loss of human life around the world, posing an unprecedented challenge to public health, food systems, and the workplace. The pandemic's economic and social impact is devastating: tens of millions of people are at risk of falling into extreme poverty, while the number of undernourished people is currently estimated to be nearly 690 million, By the end of the year, the number could have risen to 132 million. Unique Contribution to Theory, Practice and Policy: Food security, public health, and employment and labor issues, particularly worker health and safety, all intersect during the COVID-19 crisis. However, in Azadi hospital we cannot talk to people because of virus, the risk of contracting COVID-19 via an infected person's feces appears to be low. The COVID-19 virus may cause intestinal infection and be found in feces, according to some data.

Evolution of Occupational Safety and Health Disclosure Practices: Insights from 8 Years in Taiwan’s Construction Industry

Evolution of Occupational Safety and Health Disclosure Practices: Insights from 8 Years in Taiwan’s Construction Industry

Enhancing Workplace Safety through Personalized Environmental Risk Assessment: An AI-Driven Approach in Industry 5.0

This paper describes an integrated monitoring system designed for individualized environmental risk assessment and management in the workplace. The system incorporates monitoring devices that measure dust, noise, ultraviolet radiation, illuminance, temperature, humidity, and flammable gases. Comprising monitoring devices, a server-based web application for employers, and a mobile application for workers, the system integrates the registration of workers’ health histories, such as common diseases and symptoms related to the monitored agents, and a web-based recommendation system. The recommendation system application uses classifiers to decide the risk/no risk per sensor and crosses this information with fixed rules to define recommendations. The system generates actionable alerts for companies to improve decision-making regarding professional activities and long-term safety planning by analyzing health information through fixed rules and exposure data through machine learning algorithms. As the system must handle sensitive data, data privacy is addressed in communication and data storage. The study provides test results that evaluate the performance of different machine learning models in building an effective recommendation system. Since it was not possible to find public datasets with all the sensor data needed to train artificial intelligence models, it was necessary to build a data generator for this work. By proposing an approach that focuses on individualized environmental risk assessment and management, considering workers’ health histories, this work is expected to contribute to enhancing occupational safety through computational technologies in the Industry 5.0 approach.

Fixed-time observation and predefined performance regulation for oxygen excess ratio of vehicular fuel cells under input saturation

The efficiency, health and lifetime of vehicle-mounted fuel cells highly rely on the oxygen excess ratio (OER). Faced with urgent research limitations, this article tackles the estimation and regulation for immeasurable OER, while suppressing the influences of dramatic stack current, uncertain system information, actuator saturation and performance constraint. Restricted by high cost and measurement difficulty, two fixed-time adaptive observers are proposed to rebuild unavailable OER and lumped disturbance respectively, which eliminate the dependence of estimation time on initial states and alleviate the peaking issue. Further, a fixed-time prescribed performance controller is developed to elevate the tracking performance for the estimated OER, in which the overshoot, regulation time and convergence region can be quantitatively constrained, regardless of initial conditions. Specially, to exclude undesired control singularity, an improved performance function is established to automatically adjust the predefined constraint boundaries depending on the captured variations of stack current and anti-saturation auxiliary signal. The hardware-in-loop validation results under custom working conditions and a typical vehicle driving cycle exhibit that the estimation and regulation of OER reach stability within 0.2s and 1s respectively, besides, the maximum absolute errors in observing and controlling the OER are limited to around 0.6 and 0.8 respectively, with great adaptability to different scenarios.

A framework for human–robot collaboration enhanced by preference learning and ergonomics

Industry 5.0 aims to prioritize human operators, focusing on their well-being and capabilities, while promoting collaboration between humans and robots to enhance efficiency and productivity. The integration of collaborative robots must ensure the health and well-being of human operators. Indeed, this paper addresses the need for a human-centered framework proposing a preference-based optimization algorithm in a human–robot collaboration (HRC) scenario with an ergonomics assessment to improve working conditions. The HRC application consists of optimizing a collaborative robot end-effector pose during an object-handling task. The following approach (AmPL-RULA) utilizes an Active multi-Preference Learning (AmPL) algorithm, a preference-based optimization method, where the user is requested to iteratively provide qualitative feedback by expressing pairwise preferences between a couple of candidates. To address physical well-being, an ergonomic performance index, Rapid Upper Limb Assessment (RULA), is combined with the user’s pairwise preferences, so that the optimal setting can be computed. Experimental tests have been conducted to validate the method, involving collaborative assembly during the object handling performed by the robot. Results illustrate that the proposed method can improve the physical workload of the operator while easing the collaborative task.

Spoilt for Choice

Constant working conditions are outdated. Consequently, employees are confronted with the challenge of continuing vocational training. In this context, the question is how to select the appropriate trainer or training institute. In recent years, learning transfer research has focussed on researching the determinants of learning transfer. Baldwin and Ford's basic learning transfer model forms the starting point for this. This model differentiates between training input, training output and conditions of transfer. Thus, trainee characteristics, training design and work environment are determinants of training input. The author examines existing standards for training design and trainer competences in practice. In this regard, the author focusses on the question of which are the decisive criteria for the final decision in favour of a trainer or a training institute. No conclusive answer can be given to this question, as no studies are available. Consequently, a future field of research is evident here.

Experimental design for sustainable tourism: a horizon 2050 paper

Purpose This paper aims to uncover the insights derived from past experimental studies in promoting sustainable tourism. It also advocates for leveraging future experimental designs to position tourism as a catalyst for positive change toward sustainable development goals. Design/methodology/approach A review of previous literature examines the contributions of experimental design in both tourist studies and employee studies within the tourism fields. Findings Previous experimental studies have explored effective methods shaping tourists’ sustainable behaviors and management strategies contributing to employees’ decent work. The importance of integrating digital technology in these interventions is highlighted. A future research agenda encompassing three dimensions – technological progress, theory development and practical implications and research design – is proposed to leverage experimental studies for fostering sustainable development within the tourism industry. Originality/value This study, through a comprehensive review, highlights the significant impacts of previous experimental studies on encouraging responsible consumption among tourists and championing improved working conditions for employees. It underscores the necessity for enhanced experimental design, which should integrate theoretical frameworks and prioritize technological innovations to address real-world challenges. These improvements are crucial for advancing the tourism industry toward greater sustainability.