Construction safety ontology development and alignment with industry foundation classes (IFC)

A pronounced gap often exists between expected and actual safety performance in the construction industry. The multifaceted causes of this performance gap are resulting from the misalignment between design assumptions and actual construction processes that take place on-site. In general, critical factors are rooted in the lack of interoperability around the building and work-environment information due to its heterogeneous nature. To overcome the interoperability challenge in safety management, this paper represents the development of an ontological model consisting of terms and relationships between these terms, creating a conceptual information model for construction safety management and linking that ontology to IfcOWL. The developed ontology, named Safety and Health Exchange (SHE), comprises eight concepts and their relationships required to identify and manage safety risks in the design and planning stages. The main concepts of the developed ontology are identified based on reviewing accident cases from 165 Reporting of Injuries, Diseases and Dangerous Occurrences Regulations (RIDDOR) and 31 Press Releases from the database of the Health and Safety Executive (HSE) in the United Kingdom. Consequently, a semantic mapping between the developed ontology and IfcOWL (the most popular ontology and schema for interoperability in the AEC sector) is proposed. Then several SPARQL queries were developed and implemented to evaluate the semantic consistency of the developed ontology and the cross-mapping. The proposed ontology and cross-mapping gained recognition for its innovation in utilising OpenBIM and won the BuildingSMART professional research award 2020. This work could facilitate developing a knowledge-based system in the BIM environment to assist designers in addressing health and safety issues during the design and planning phases in the construction sector.

“Sometimes You Get Good Ones, and Sometimes You Get Not-so-Good Ones”: Vendors’ and Consumers’ Strategies to Identify and Mitigate Food Safety Risks in Urban Nigeria

This paper uses detailed data from in-depth interviews with consumers (n = 47) and vendors (n = 37) in three traditional markets in Birnin Kebbi, Nigeria. We used observations from those markets to examine how consumers and vendors identify and avoid or manage food safety risks and whom they hold responsible and trust when it comes to ensuring food safety. At the level of the vendor, consumers mentioned seeking “clean” or “neat” vendors or stalls. Cleanliness was primarily related to the appearance of the vendor, stall, and surroundings; reliance on trusted, known vendors was also noted. Food products themselves were largely evaluated based on visual cues: insects, holes, and colors—with some reliance on smell, also. Similarly, vendors assessed safety of food from suppliers based on a visual assessment or reliance on trusted relationships. On the second research question, both consumers and vendors largely placed responsibility for ensuring food safety on government; when asked specifically, consumers also named specific steps that vendors could take to ensure food safety. Consumers and vendors also generally felt that they could limit many food safety risks through identifying the “good” products in the market or from suppliers. The paper discusses the implications of these results for behavior change interventions.

Semi-Supervised Deep Learning in High-Speed Railway Track Detection Based on Distributed Fiber Acoustic Sensing

High deployment costs, safety risks, and time delays restrict traditional track detection methods in high-speed railways. Therefore, approaches based on optical sensors have become the most remarkable strategy in terms of deployment cost and real-time performance. Owing to the large amount of data obtained by sensors, it has been proven that deep learning, as a powerful data-driven approach, can perform effectively in the field of track detection. However, it is difficult and expensive to obtain labeled data from railways during operation. In this study, we used a segment of a high-speed railway track as the experimental object and deployed a distributed optical fiber acoustic system (DAS). We propose a track detection method that innovatively leverages semi-supervised deep learning based on image recognition, with a particular pre-processing for the dataset and a greedy algorithm for the selection of hyper-parameters. The superiority of the method was verified in both experiments and actual applications.

Stress and psychological resilience in intervention and rescue activities

Nature of intervention and rescue personnel activity places them at the top of professions that face a considerable number of occupational health and safety risks. Often, this occupational category does not face a single safety risk, but a complex combination of risk factors, including unpredictability of situations in which they are required to work. Emergence of stress and other psychosocial risks in work processes requires the implementation of an anticipatory attitude and a constant level of vigilance to identify and evaluate them. In intervention and rescue, the issue of regulating and self-regulating the individual’s behaviour is essential, as exceptional acts performed in unusual conditions require adaptive mechanisms as close as possible to perfection. Developing resilience should focus on amplifying already present strengths (physical and mental characteristics and abilities), rather than managing negative effects of operational stressors. The current paper presents a theoretical approach of the concept of resilience, appliable to intervention and rescue activities and suggests several ways to develop rescuer’s resilience.

“Everyone is Living in the Same Storm, but our Boats are all Different”: Safety and Safety Planning for Survivors of Intimate Partner and Sexual Violence During the COVID-19 Pandemic

Survivors of intimate partner violence (IPV) and sexual assault (SA) faced increased violence, new safety risks, and reduced services access in the face of the COVID-19 pandemic. IPV and SA service providers have a critical role in safety planning and advocacy with survivors; however their patterns of working were dramatically impacted by changes brought on by the pandemic. Little is known about safety planning strategies and service adaptations employed in this context. Through semi-structured interviews with 33 service providers from across the United States, this study explores the experiences and perspectives of victim service agency staff with IPV and SA survivor safety and safety planning from March to December 2020. Qualitative data were analyzed using conventional content analysis. Four overarching themes related to survivor safety and safety planning emerged, including (1) “The violence is more severe, it’s more escalated,” describing an increase in the severity and frequency of violence; (2) “Perpetrating the violence through [technology],” describing a specific surge in technology based abuse (TBA) as the world shifted to virtual communication to facilitate social distancing; (3) “COVID-19 is now a tool in their toolbox,” describing the emergence of the COVID-19 pandemic and health guidance as a life generated risk that abusive partners used to further control and isolate their partner; and (4) “You just get real crafty,” highlighting the wide range of “work-arounds” and safety planning adaptations employed by victim service professionals trying to maintain services in a disrupted environment and in the face of evolving safety risks and increasing violence severity. These findings highlight the safety and safety planning challenges encountered as the COVID-19 pandemic unfolded and the many creative strategies employed by service providers to adapt in the moment.

Identifying adoption and usability factors of locator devices for persons living with dementia

A growing number of Canadians live with dementia. Strategies to reduce the risks of getting lost include physical barriers, restraints and medications. However, these strategies can restrict one’s participation in meaningful activities and reduce quality of life. Locator devices can be used to manage safety risks while also supporting engagement and independence among persons living with dementia. As more locator devices become available on the market, adoption rates would be affected by certain factors. There is no clear, standardized approach to identify the factors that have an influence on the acceptance and usability of locator devices for persons with dementia and their care partners. This project aimed to identify factors related to acceptance and usability of locator devices that are important to individuals with dementia, their care partners, service providers and technology developers. Qualitative description and conventional content analysis guided our approach. We conducted 5 focus groups with 21 participants. Trustworthiness strategies included multiple data sources, data verification for accuracy and peer debrief. Five overarching factors emerged as critical aspects in the acceptance and usability of locator devices. These factors were inclusivity, simplicity, features, physical properties and ethics. Participants thought that locator devices do not adequately consider privacy and stigma. Therefore, the acceptance and usability of locator devices could be enhanced if privacy and stigma are addressed. The factors identified will inform the creation of an acceptance and usability scale for locator devices used by persons living with dementia, their care partners and service providers.

Lingering Impacts on Sleep Following the Daylight Savings Time Transition

Background: The “spring forward” change to Daylight Savings Time (DST) has been epidemiologically linked with numerous health and safety risks in the days following the transition, but direct measures of sleep are infrequently collected in community dwelling individuals. Methods: The Project Baseline Health Study (PBHS), a prospective, multicenter, longitudinal representative U.S. cohort study begin in 2017 launched a Sleep Mission in March 2021 to characterize sleep using patient-reported and wearable device measures, in free-living circumstances during the DST switch. Estimated sleep period duration, subjective restedness and quality, and watch metrics were compared before and after the DST transition during specified timeframes. Results: Of the total PBHS population of 2502 participants, 606 participants received an invitation and 419 participants opted in to the Sleep Mission (69.1%). The transition to DST resulted in both acute and lingering impacts on sleep. Acute effects included a 29.6 minute reduction in sleep period (p=0.01) and lower ratings of how well participants slept, as well as reduced next-day restedness. In the week following the time change, a persistent reduction in restedness scores, and a trend towards a decrease in sleeping heart rate variability were observed. Conclusion: The Daylight Savings Time transition is associated with an acute reduction in sleep period, and lingering impacts on self-reported restedness, as well as a trend towards reduced heart rate variability into the week following the transition. This work adds to a growing understanding of the persistence of impacts on sleep health metrics due to the DST transition.

Leveraging Machine Learning To Assess Market-Level Food Safety And Zoonotic Disease Risks In China

While many have advocated for widespread closure of Chinese wet and wholesale markets due to numerous zoonotic disease outbreaks (e.g., SARS) and food safety risks, this is impractical due to their central role in China’s food system. This first-of-its-kind work offers a data science enabled approach to identify market-level risks. Using a massive, self-constructed dataset of food safety tests, market-level adulteration risk scores are created through machine learning techniques. Analysis shows that provinces with more high-risk markets also have more human cases of zoonotic flu, and specific markets associated with zoonotic disease have higher risk scores. Furthermore, it is shown that high-risk markets have management deficiencies (e.g., illegal wild animal sales), potentially indicating that increased and integrated regulation targeting high-risk markets could mitigate these risks.

Study on Work Safety for Employees in Radiology Department

Background: Working staff in the radiology department are exposed to harmful factors such as Radiation exposure, injuries; needle pricks while performing an investigation, leads to exposure to body fluids, muscle stress due to wearing heavy lead aprons, and while moving portable equipment for examinations. Strategies to prevent and reduce such harmful factors are guaranteed by taking regular inspections by radiation safety officers. Safety supervision in radiology is important in shielding the patients, radiologists and healthcare staff. Observational safety audits and regular inspections in the radiology department for staff safety are the main and important parts of this study. Objective: To assess and evaluate the current safety measures in Radiology Department and Scope of innovations and interventions in current working safety condition awareness. Methods: All employees working in radiology department satisfying the inclusion criteria are evaluated for the study. A survey carried out related to general working and routine procedures carried out in radiology department. Regular audits and inspection studies are covered in the study. The study consists of closed-ended questions regarding the profession and the knowledge of the basic safety measures in diagnostic and special scans in radiology department. Results: Employees in the radiology department are highly aware about work safety measures. There are regular safety audits and inspection studies are carried out by RSO and concerning departments. There is also scope for radiation workers to have introductory seminars on radiation safety before they start working with radiation. Conclusion: Working in the radiology department has several types of safety risks, which can be barred or compact if manage suitably. Informally with these types of risks and their penalty, agreement with policy and strategy on work ecological safety, and expansion of a traditions that supports supervision, treatment, and on time conduct will go far toward civilizing overall employee security for all employees in the radiology department.