Search results

The nature of policework is uniquely challenging to officers’ mental health, producing detrimental outcomes such as higher rates of suicide, substance abuse and divorce compared to other occupations. This is especially true in small and rural police departments, where officers often have broader responsibilities and cover a larger geographic area than their counterparts who work in large urban departments. Given the limited resources available to small and rural police, the purpose of this study is to explore the mental health services available to officers in small and rural police departments.

We used a mixed methods approach. First, we surveyed 349 small and rural Pennsylvania police chiefs about the mental health services in their department. Of these chiefs, 53 participated in subsequent in-depth qualitative interviews about officer awareness of the mental health services available to them, what resources they thought would be helpful to officers and what barriers exist to prevent officers from seeking help.

Quantitative results indicated that 22% of small and rural police departments had no mental health programs available to officers; Critical Incident Stress Management and Employee Assistance Programs were most commonly available. Budget size and the presence of a union influenced whether a department had mental health programs available to officers. Qualitative interviews found that although most departments provided some mental health services, officers were unlikely to use them. Chiefs expressed a need for improved services that officers might be more likely to use.

Given the lack of resources available in small and rural police departments and the lack of adoption of some resources, we recommend peer assistance, general wellness programs and telehealth as feasible options for officer mental health.

Small and rural police comprise the bulk of policing in the USA, yet remain understudied. This study focuses on small and rural police.

The paper aims to analyze the structural integrity of an existing offshore platform located in the Northern Adriatic Sea, followed by the topside decommissioning and the re-utilization of the jacket as a wind turbine support. The structural integrity assessment against the in-place and the long-term actions is accomplished by using a reduced basis finite element method (RB-FEA) software program assessing the capability of the jacket to be used as a support for wind turbines at the end of its life cycle as oil and gas (O&G) platform.

The project starts by modeling the jacket, and subsequently, the structural analyses for the in-place loads in operative and extreme conditions are performed. Then, the fatigue analysis is carried out in order to define the cumulative damage necessary to evaluate the possibility to use the jacket as a wind turbine support.

The results show that the jacket, at the end of the service life as O&G platform, is able to withstand the loads produced by the installation of the wind turbine since the analyses are satisfied even with the conservative approach used which overestimates the thickness loss assuming a linear increasing value during the service life.

Because of the chosen approach, the study presents some limitations, especially concerning the real state of the platform which has been defined considering the thickness loss only. Additionally, a 1D model was used to perform the analyses, and hence, a 3D model could help in evaluating the critical points with higher precision.

The assessment of the structure could be improved by modeling a digital twin of the asset allowing a real-time monitoring which, however, involves a huge amount of data to be processed, so a suitable simulation technology must be used.

The RB-FEA proposed by Akselos is suitable to perform the analyses speeding up the processing of the data even in real time.

Interventions that improve timely access to outpatient health services are essential in managing demand. This process evaluation aimed to describe the implementation, mechanism of impact and context of an intervention to reduce waiting for first appointments in an outpatient epilepsy clinic.

The UK Medical Research Council framework was used as the theoretical basis for a process evaluation alongside an intervention trial. The intervention, Specific Timely Appointments for Triage (STAT), is a data-driven approach that combines a one-off backlog reduction strategy with methods to balance supply and demand. A mixed methods process evaluation synthesised routinely collected quantitative and qualitative data, which were mapped to the domains of implementation, mechanisms of impact and contextual elements.

The principles of the STAT model were implemented as intended without adaptation. The STAT model reached all patients referred, including long waiters and was likely generalisable to other medical outpatient clinics. Mechanisms of impact were increased clinic capacity and elimination of unwanted variation. Contextual elements included the complexity of healthcare systems and the two-tier triage practice that contributes to prolonged waiting for patients classified as non-urgent.

This process evaluation shows how a data-driven strategy was applied in a medical outpatient setting to manage demand. Improving patient flow by reducing waiting in non-urgent, outpatient care is a complex problem. Understanding how and why interventions work is important for improved timeliness of care, and sustainability of public health services.

This research intends to investigate the determinants that affect consumers’ purchase intention of electric vehicles (EVs) in Malaysia using an extended theory of planned behaviour (TPB).

Survey data were collected with a sample size of 306. The research used SmartPLS 4.0 structural equation modelling tool to analyse the data. Reliability and validity tests (discriminant and convergent validity) were used and subsequently assessed the measurement and structural models. Mediation analysis was conducted to identify the role of the latent constructs.

The findings indicated that a green purchase attitude plays a complete mediation role in the effect of environmental knowledge on the purchase intention of EVs. In the same notion, the effect of price perception and availability of charging facilities on the purchase intention of EVs passes completely through perceived behavioural control. However, the subjective norm was an insignificant mediator of the impact between government support and EV purchase intention.

This paper helps to examine the latent constructs that impact purchase intention using environmental knowledge, government support, price perception and the availability of charging facilities. Successful green marketing and a sustainable consumerism framework are seen as a booster to promote the usage of EVs in Malaysia.

An extended TPB model has been employed in this research to study the effects of the above-mentioned constructs. The results show that most of the extended constructs are significant in explaining the purchase intention. The empirical results address the gap in the consumer green attitude and provide insight into this area of study.

Teamwork is necessary for engineering to address today’s complex challenges. Therefore, team members must improve their teamwork competencies for more significant team development and effectiveness. This study aimed to analyze how a non-directive coaching intervention model for an entire team influences the individual team members’ teamwork competencies.

Action research was used in this study with a quasi-experimental design featuring control and experimental groups comprising final-year engineering students from Universidad Politécnica de Madrid. The sample included 168 students, with 132 in the control group and 36 in the experimental group. The experimental group underwent a non-directive team coaching intervention involving three sessions. Competencies were evaluated using the teamwork competency test (TWCT), administered at the course’s beginning and end to measure progress.

The results show that the individuals who participated in the team coaching significantly increased their competencies, particularly “conflict resolution” and “feedback.”

This study’s value contributes to identifying the positive impacts of non-directive team coaching interventions on individual teamwork competencies, fostering collaborative skills and supporting collective goals.

This research proposes a novel risk assessment model to elucidate the risk propagation process of industrial safety accidents triggered by natural disasters (Natech), identifies key factors influencing urban carrying capacity and mitigates uncertainties and subjectivity due to data scarcity in Natech risk assessment.

Utilizing disaster chain theory and Bayesian network (BN), we describe the cascading effects of Natechs, identifying critical nodes of urban system failure. Then we propose an urban carrying capacity assessment method using the coefficient of variation and cloud BN, constructing an indicator system for infrastructure, population and environmental carrying capacity. The model determines interval values of assessment indicators and weights missing data nodes using the coefficient of variation and the cloud model. A case study using data from the Pearl River Delta region validates the model.

(1) Urban development in the Pearl River Delta relies heavily on population carrying capacity. (2) The region’s social development model struggles to cope with rapid industrial growth. (3) There is a significant disparity in carrying capacity among cities, with some trends contrary to urban development. (4) The Cloud BN outperforms the classical Takagi-Sugeno (T-S) gate fuzzy method in describing real-world fuzzy and random situations.

The present research proposes a novel framework for evaluating the urban carrying capacity of industrial areas in the face of Natechs. By developing a BN risk assessment model that integrates cloud models, the research addresses the issue of scarce objective data and reduces the subjectivity inherent in previous studies that heavily relied on expert opinions. The results demonstrate that the proposed method outperforms the classical fuzzy BNs.

The comfort of apparel is not only a feeling of perception but also a tangible measure. The fit and fabric of clothing can exert a perception of comfort for the wearer, whereas actual comfort largely depends on physiological and emotional soothing. However, there is still no solid work on connecting the bridge between physiological and emotional feelings to the comfort of clothing. In this study, we have conceptualized, formulated and proven the relation between physiological and emotional parameters with clothing fit and fabric to find the true comfort of the wearer.

A mixed-method research design using physiological and emotional parameters for different fabric and fit combinations were used for this study. The physiological comfort parameters (i.e. heart rate and respiration rate) are extracted from the subjects using gold-standard clinical devices for various fit and fabric combinations. For the emotional response, a survey was conducted for the same subjects wearing all the fit and fabric combinations. Statistical analysis and modeling were performed to obtain the results.

Physiological indicators such as heart rate are closely linked with user comfort. Due to the limitations in environmental control, the physiological changes obtained did not significantly vary for different fabric and fit combinations of the clothing. However, a significant change in emotional response indicated a definite relationship between different fabric and fit types. Based on the participants’ responses, weather conditions, size of the clothing item, types of fabrics and style also influence the participants’ choice of clothing.

The research was conducted to discover the relation between true comfort (physiological and emotional parameters) and clothing (fit and fabric), which is unique to the field. This study closes the gap and builds up the relationship, which can help introduce clothing comfort to users in the future. The findings of this study help us understand how fabric types (natural or synthetic) and clothing fit types (loose or fitted) can affect physiological and emotional responses, which can provide the consumer with satisfactory clothing with the suitable properties needed.

The purpose of this paper is to present the results of a scoping review on the implementation of Article12 in health care. The scoping review will provide a summary and overview of the key concepts and published literature on this topic internationally. Article 12 of the United Nations Convention on the Rights of the Child (1989) states that children have a right to express their views, to have them heard and for their views to be given due weight in all matters that affect them. Despite increased calls for Article 12 to be given attention in health care, there is little evidence to suggest this has been well implemented and embedded in Australian health-care delivery. The scoping review was undertaken to provide a summary and overview of the key concepts and published literature on this topic internationally.

A five-step methodological framework described by Arksey and O’Malley (2005) was used to undertake the scoping review. Preferred Reporting Items for Systematic Reviews and Meta-Analysis was used as a guideline for undertaking the study selection.

Children are still not routinely involved in health-care decision-making, are frequently left out of service planning and evaluation and the perception that they lack the capability to make rational decisions persists.

While there has been a focus on research that investigates children’s participation in health-care decision-making in recent years, there is little that directs attention specifically to the implementation of Article 12, particularly in Australian health care. Recommendations are made for further research in these areas.

Factors that may influence risk and/or vulnerability to radicalisation or involvement in terrorism by individuals with autism spectrum disorder (ASD) are currently undetermined. The purpose of this rapid evidence assessment (REA) was to identify and review studies which consider the association between ASD and terrorism to explore potential risk or vulnerability factors and the implications for intervention.

The REA method was used to review the literature, with 16 papers meeting inclusion criteria.

Ten factors were identified as relevant to ASD and terrorism which were combined into four overarching themes: cognitive, social, psychological and ASD traits.

This REA presents a novel review of literature relating to ASD and terrorism. The findings are valuable to practitioners working with individuals with ASD who may present with the identified risk and/or vulnerability factors. The implications of these factors for intervention are discussed, along with directions for future research.

As climate change increasingly affects rural food production, there is an urgent need to adopt agricultural adaptation strategies. Because the agricultural sector in Nepal is one of the most vulnerable to the effects of climate change, the adaptation strategies of household farmers in rural areas are crucial. This study aims to address the impacts of agricultural climate change adaptation strategies in Nepal. The research empirically analyzed climate hazards, adaptation strategies and local adaptation plans in Mangalsen Municipality, Achham District, Sudurpashchim Province, Nepal.

This study used a purposive sampling of household lists, categorized as resource-rich, resource-poor and intermediate households. The analysis used primary data from 110 household surveys conducted among six focus groups and 30 informants were selected for interviews through purposive random sampling.

Climate change significantly impacts rainfall patterns and temperature, decreasing agriculture productivity and increasing household vulnerability. To overcome these negative impacts, it is crucial to implement measures such as efficient management of farms and livestock. A comprehensive analysis of Nepalese farmers' adaptation strategies to climate change has been conducted, revealing important insights into their coping mechanisms. By examining the correlation between farmers' strategies and the role of the local government, practical policies can be developed for farmers at the local level.

This study represents a significant breakthrough in the authors' understanding of this issue within the context of Nepal. It has been conclusively demonstrated that securing land tenure or land security and adopting appropriate agricultural methods, such as agroforestry, can be instrumental in enabling Nepalese households to cope with the effects of climate change effectively.