Safety Plan Research Articles

Spatiotemporal Heterogeneity Analysis of Provincial Road Traffic Accidents and Its Influencing Factors in China

To objectively evaluate the road traffic safety levels across different provinces in China, this study investigated the spatiotemporal heterogeneity characteristics of macro factors influencing road traffic accidents. Panel data from 31 provinces in China from 2009 to 2021 were collected, and after data preprocessing, traffic accident data were selected as the dependent variables. Population size, economic level, motorization level, highway mileage, unemployment rate, and passenger volume were selected as explanatory variables. Based on the spatiotemporal non-stationarity testing of traffic accident data, three models, namely, ordinary least squares (OLS), geographically weighted regression (GWR), and geographically and temporally weighted regression (GTWR), were constructed for empirical research. The results showed that the spatiotemporal heterogeneity characterizing the macro factors of traffic accidents could not be ignored. In terms of impact effects, highway mileage, population size, motorization level and passenger volume had positive promoting effects on road traffic accidents, while economic level and unemployment rate mainly exhibited negative inhibitory effects. In terms of impact magnitude, highway mileage had the greatest impact on traffic accidents, followed by population size, motorization level, and passenger volume. Comparatively, the impact magnitude of economic level and unemployment rate was relatively small. The conclusions were aimed at contributing to the objective evaluation of road traffic safety levels in different provinces and providing a basis for the formulation of reasonable macro traffic safety planning and management decisions. The findings offer valuable insights that can be used to optimize regional traffic safety policies and strategies, thereby enhancing road safety.

Analysis of Fill Dam Using Finite Element Method and Comparison with Monitoring Results

Nowadays, a detailed safety policy is applied for dams. These policies cover structural safety, monitoring, inspection, safe operation, and emergency plans. For high-risk dams, all these policy elements need to be included in dam safety programs. Deficiencies in embankment dams, which suffer the most damage, can be detected by visual inspection and programmed monitoring of dams. In dams, horizontal and vertical deformation, leakage, pressure, stress, loads acting on structural elements, and environmental factors are generally measured. These behaviors can be numerically modeled to determine the dam behavior. Numerical analysis methods are important for monitoring the safety of the dam. Models created with software such as Plaxis provide information about dam behavior. Although numerical analysis is very important for dams, obtaining the material parameters used in the construction of the dam needed for modeling, recording the construction stages of the dam, not taking the water level change in the dam reservoir instantaneously, and not taking the measurement records of the dam measurement instruments correctly for different reasons constitute problems and difficulties for the analyses. Within the scope of this study, İkizdere Dam in Turkey was modeled with the Plaxis finite element program; the survey and piezometer measurement data taken from the dam were evaluated by comparing with the analysis results; the difficulties and problems encountered in the modeling and analysis phase were stated, and recommendations were made on dam safety and numerical analysis. Thus, in addition to other studies, it was emphasized that it is important for dam engineers to monitor the use of numerical analysis models throughout the entire process, not only in the planning phase but also from the planning phase to the life of the dam, and to keep records of all recording intervals that will be needed in digital analysis models.

Digital Platform for the Prevention of Suicidal Behaviour and Non-Suicidal Self-Injuries in Adolescents: The SmartCrisis-Teen Study Protocol.

Suicidal behavior and Non-Suicidal Self-Injuries (NSSIs) are a major health problem in the adolescent population. New technologies can contribute to the development of innovative interventions in suicide prevention. Here, we present the SmartCrisis-Teen study protocol. The study consists of a randomized clinical trial which aims to evaluate the effectiveness of a digital safety plan to prevent suicidal behavior and NSSIs in adolescents. This is a multicentric study which will be conducted among the adolescent population, both in clinical and student settings, with a target sample of 1080 participants. The intervention group will receive an Ecological Momentary Intervention (EMI) consisting of a digital safety plan on their mobile phone. All participants will receive their Treatment As Usual (TAU). Participants will be followed for six months, with weekly and monthly telephone visits and face-to-face visits at three and six months. Participants will be assessed using traditional questionnaires as well as Ecological Momentary Assessment (EMA) and Implicit Association Tests (IATs). With this intervention, we expect a reduction in NSSIs through the acquisition of coping strategies and a decrease in suicidal behavior over the course of follow-up. This study provides a novel, scalable digital intervention for preventing suicidal behavior and NSSIs in adolescents, which could contribute to improving adolescent mental health outcomes globally.

Clinical performance of implanted devices used in surgical treatment of patients with spinal tumors: a systematic review

PurposeImplanted devices used in metastatic spine tumor surgery (MSTS) include pedicle screws, fixation plates, fixation rods, and interbody devices. A material to be used to fabricate any of these devices should possess an array of properties, which include biocompatibility, no toxicity, bioactivity, low wear rate, low to moderate incidence of artifacts during imaging, tensile strength and modulus that are comparable to those of cortical bone, high fatigue strength/long fatigue life, minimal or no negative impact on radiotherapy (RT) planning and delivery, and high capability for fusion to the contiguous bone. The shortcomings of Ti6Al4V alloy for these applications with respect to these desirable properties are well recognized, opening the field for an investigation about novel biomaterials that could replace the current gold standard. Previously published reviews on this topic have exhibited significant shortcomings in the studies they included, such as a small, heterogenous sample size and the lack of a cost-benefit analysis, extremely useful to understand the practical possibility of applying a novel material on a large scale. Therefore, this review aims to collect information about the clinical performance of these biomaterials from the most recent literature, with the objective of deliberating which could potentially be better than titanium in the future, with particular attention to safety, artifact production and radiotherapy planning interference. The significant promise showed by analyzing the clinical performance of these devices warrants further research through prospective studies with a larger sample size also taking into account each aspect of the production and use of such materials.MethodsThe Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines were used to improve the reporting of the review. The search was performed from March 2022 to September 2023.ResultsAt the end of the screening process, 20 articles were considered eligible for this study. Polyetheretherketone (PEEK), Carbon-fibre reinforced polyetheretherketone (CFR-PEEK), long carbon fiber reinforced polymer (LCFRP), Polymethylmethacrylate (PMMA), and carbon screw and rods were used in the included studies.ConclusionCFR-PEEK displays a noninferior safety and efficacy profile to titanium implanted devices. However, it also has other advantages. By decreasing artifact production, it is able to increase detection of local tumor recurrence and decrease radiotherapy dose perturbation, ultimately bettering prognosis for patients necessitating adjuvant treatment. Nonetheless, its drawbacks have not been explored fully and still require further investigation in future studies. This does not exclude the fact that CFR-PEEK could be a valid alternative to titanium in the near future.

Utilising co-design to develop a lived experience informed personal safety tool within a mental health community rehabilitation setting.

Mental health personal safety tools aim to promote a recovery focus and empower an individualised approach to consumer care. These clinical tools are predominantly utilised in acute mental health settings with a person during or straight after a crisis. There is currently a gap in the literature regarding the preparation of personal safety tools in non-acute mental health settings. This descriptive article discusses the learnings and outcomes from a co-designed project that aimed to develop a personal safety tool suitable for a community mental health rehabilitation setting. Seven people with lived experience engaging within a mental health community-based rehabilitation service were recruited through convenience sampling to participate in the co-design project. A focus group approach was utilised during four group meetings to develop a personal safety tool template. Experiences and ideas about safety planning were transcribed during meetings and thematic analysis extracted key themes. Five steps underpinned the co-design process that included identifying the need, establishing the co-design group, planning, design and development, and review and closure. Consumer involvement commenced at step two of the co-design process. The completed personal safety tool was designed with consumer input and review. The personal safety tool consisted of nine intervention components. Four key themes emerged from focus group meetings that informed the content of the tool: (i) ensuring the personal safety tool is individualised and meaningful, (ii) promoting exploration of personal strengths and interests, (iii) enabling opportunities to learn self-management skills, and (iv) treating the personal safety tool as a dynamic and adaptable tool. Findings suggest that a personal safety tool targeted to a mental health community-based rehabilitation setting should have an individualised and preventative focus to mental health care. Embedding co-design principles can support opportunities for meaningful consumer engagement and establishing consumer and clinician partnerships.

Suicide Prevention Training for Social Work Students in Rural Practicum Placements: Current Opportunities and Areas for Growth

ABSTRACT Students and practicum instructors in a primarily rural state were surveyed about suicide prevention practice and training opportunities provided to social work trainees during their practicum placements. A cross-sectional, electronic survey was administered to N = 86 students and N = 64 practicum instructors and descriptive statistics were analyzed. Most students (87.1%) and practicum instructors (86.6%) felt that students should have the opportunity to engage with suicidal clients while in practicum. Many students reported having had contact with a suicidal client while in practicum (70.6%) and had engaged in some sort of practice related to suicide prevention (82.6%). The most frequently reported practice behaviors were suicidal inquiry (62.8%), risk assessment (60.7%), disposition planning (51.0%), and safety planning (49.0%). Over half (52.9%) had not used any evidence-based tools for screening and follow-up and only one quarter (25.5%) had provided postvention services. Many students (72.9%) were concerned about iatrogenic risk. Although most practicum instructors felt comfortable addressing suicide prevention in supervision (74.4%), many (64.1%) also reported the desire for additional training. Although students appear to have opportunities to engage in suicide prevention in practicum, there are specific knowledge and practice gaps regarding evidence-based tools, postvention, and the “myth” of iatrogenic risk.

Evaluating the Effectiveness of Safety Plans for Mitigating Suicide Risk in Two Samples of Psychiatrically Hospitalized Military Veterans

Although safety plans (SPs), following the Stanley–Brown Safety Planning Intervention protocol, are required for suicidal veterans receiving treatment in the Veterans Health Administration (VHA), prior studies have shown that they are frequently incomplete or are not sufficiently personalized to the unique circumstances of each patient. In two studies, we examined SP completeness, SP quality (i.e., degree to which the SP was clear, actionable, and personalized), and SP fidelity (i.e., sum of completeness and quality). We also examined which SP steps were associated with a reduced likelihood of future psychiatric rehospitalizations (Study 1) and suicide attempts (Study 2) following hospital discharge. Participants were veterans admitted to two VHA acute inpatient psychiatric units for suicide risk (Study 1: N = 78; Study 2: N = 132). SPs were coded by independent raters on completeness, quality, and fidelity; step scores (e.g., Step 1 quality) were summed to create whole-plan scores (e.g., SP quality). In Study 1, 52.5% of participants had an SP and, in Study 2, 93.1% of participants had an SP. In Study 1, whole plan scores were not associated with subsequent psychiatric hospitalization status, but higher Step 2 (internal coping) fidelity scores were associated with decreased likelihood of rehospitalization (AHR = 0.05, 95% CI [0.30, 0.84], p = .008). In Study 2, higher whole-plan quality (AHR = 0.79, 95% CI [0.66, 0.95], p = .012) and fidelity (AHR = 0.84, 95% CI [0.71, 0.99], p = .040) scores were associated with a decreased likelihood of future suicide attempt. Step 1 (warning signs) quality (HR = 0.48, 95% CI [0.30, 0.76], p = .002) and fidelity scores (AHR = 0.57, 95% CI [0.37, 0.90], p = .016) were associated with a decreased likelihood of future suicide attempt. The association of SP characteristics differs by outcome of interest, and fidelity of internal coping strategies may contribute to preventing rehospitalizations, whereas quality and fidelity of warning signs may help prevent future suicide attempts. Overall, results suggest that mandating SPs without training and implementation strategies to ensure quality is not enough.

Building Back Better: Exploring the Resilience of Schools in Disaster Recovery

As natural and human-made disasters escalate globally, the urgency to rebuild resilient communities is increasingly evident. With this study, Building Back Better: Exploring the Resilience of Schools in Disaster Recovery explores the experiences, disaster recovery, challenges, coping mechanisms, and insights of three school administrators and four teachers designated as school Disaster Risk Reduction coordinators in the Monkayo East District of Davao de Oro. This study utilized qualitative phenomenological study to delve into the lived experiences of educational professionals during post-disaster recovery. This research aims to gain a deep understanding of the challenges, coping mechanisms, and insights from a purposive sample of four teachers designated as school Disaster Risk Reduction coordinators and three school administrators who have directly engaged with the recovery processes following natural disasters. The data were gathered through an in-depth face-to-face interview and used an audio recorder to record the discussion. The significant finding from the study is the multifaceted and long-lasting impact of disasters on students' learning environments. This finding highlights how disasters not only cause physical damage to school infrastructure but also disrupt the educational process, widen achievement gaps, and affect the emotional well-being of students. The disruption of normal routines and the psychological stress experienced by students underscore the critical need for comprehensive recovery strategies, including academic support and mental health resources, to help students regain stability and continue their education effectively. This emphasizes the importance of preparedness and resilience in educational institutions to mitigate the impact of such crises. This study highlights the need for timely assessments, repairs, and coordination with local authorities to ensure the structural integrity of school facilities. It underscores the importance of disaster preparedness and the implementation of robust recovery strategies to mitigate the impact on the educational environment and maintain a safe and conducive learning space. This focus on infrastructure is foundational, as it directly influences the ability of schools to function effectively post-disaster. Teachers and school heads are pivotal in disaster risk reduction within educational institutions. They create safety plans, organize drills, and educate students on emergency procedures, fostering a culture of preparedness. School heads provide leadership, while teachers act as first responders, guiding students to safety and offering necessary care. Collaboration between teachers, school heads, and stakeholders is crucial for a resilient school environment. By involving the entire school community in planning and implementing safety measures, schools can effectively respond to disasters, ensuring the safety and well-being of everyone involved. This partnership promotes a proactive approach to disaster preparedness, making safety a priority in all school activities.

Through the Shadows: Exploring Domestic Child Torture

Child torture is a severe form of child maltreatment. Children who are tortured are at high risk of death and/or re-traumatization. It is imperative both legally and ethically that health care providers recognize children who are being tortured in order to develop a safety plan to help prevent further abuse and trauma to the child. This article will define and address the following: child torture, intrafamilial child torture (ICT), common presentations of victims of ICT, risk factors of victims of ICT, and guidelines for healthcare practitioners working in the United States when they assess victims. Additionally, there will be a discussion on the importance of collaborating both on an interdisciplinary (e.g. medical, social workers, child protective case workers, psychology) and multidisciplinary (clinical and legal) level. and the utilization of self-care activities for clinicians, after treating a child who has been tortured.

Crisis Intercept Mapping for Community-Based Suicide Prevention: An Assessment of the Crisis Infrastructure and Future Considerations for 988.

Suicide is a significant public health problem, yet barriers to treatment remain. To address barriers and meet needs, Congress designated a new 988 dialing code to increase utilization of the National Suicide Prevention Lifeline. As a result, call volume increased, and demand for community-based crisis services is expected. To examine the availability of community-based crisis care, we analyzed information collected from 2020 to 2022 Crisis Intercept Mapping (CIM) technical assistance workshops conducted with communities across the country. We found that training and implementation of suicide risk screening, safety planning, lethal means safety, and follow-up were limited and inconsistent among communities in our study. Collaboration was variable, impacting the ability of communities to support care transitions. Participants described multiple barriers to the routine implementation of evidence-based care and identified potential solutions for addressing them. Findings suggest a need for relationship building and targeted education and training to meet future demand for crisis care.

Municipal Solid Waste Management and Health Risks: Application of Solid Waste Safety Plan in Novi Sad, Serbia

Inadequate solid waste management (SWM) can cause environmental contamination and health risks. Minimizing the health risks from SWM practices requires the identification of linkages between potential sources of exposure, environmental transport pathways, and adverse health outcomes. A safety planning approach can represent an innovative tool for reducing such risks. In previous research, we introduced the solid waste safety plan (SWSP) concept, only focusing on the health risk ranking assessment matrix. Here, we demonstrate the application of the SWSP framework in a case study of the municipal landfill of Novi Sad, Serbia. We identify potential hazards and assessed the likelihood and severity for them, using a combination of quantitative and semi-quantitative approaches to estimate risk levels for each identified hazard. Hazards deemed high and very high risks for the community and workers include groundwater contamination from leachate, airborne contaminants from combustion and non-combustion processes, and worker injuries associated with waste combustion. Control measures for each are identified, together with a corresponding cost analysis. Adding a final top cover to the landfill and introducing a collection, transport, and treatment system for the biogas would address hazards presenting high health risks but are also among the highest costs. While we demonstrate the approach and utility of an SWSP in a research context, future work is needed to assess the use of the SWSP by local communities or SWM utilities.

A method to promote safe cycling powered by large language models and AI agents

This paper presents a novel information generation methodology to support safer cycling patterns in urban environments, leveraging for that Large Language Models (LLMs), AI-based agents, and open geospatial data. By processing multiple files containing previously computed urban risk levels and existing mobility infrastructure, which are generated by exploiting open data sources, our method exploits multi-layer data preprocessing procedures and prompt engineering to create easy-to-use, user-friendly assistive systems that are able to provide useful information concerning cycling safety. Through a well-defined processing pipeline based on Data Ingestion and Preparation, Agents Orchestration, and Decision Execution methodological steps, our method shows how to integrate open-source tools and datasets, ensuring reproducibility and accessibility for urban planners and cyclists. Moreover, an AI agent is also provided, which fully implements our method and acts as a proof-of-concept implementation. This paper demonstrates the effectiveness of our method in enhancing cycling safety and urban mobility planning.•A novel method that combines LLMs and AI agents is defined to enhance the processing of multi-domain open geospatial data, potentially promoting cycling safety.•It integrates urban risk data and cycling infrastructure for a more comprehensive understanding of cycling resources, which become accessible by textual or audio prompts.

New Frontiers in Water Distribution System Management and Monitoring: First Development of a Water Safety Plan Based on Heritage Building Information Modeling (HBIM) in Neptune Fountain, Bologna, Italy

The World Health Organization (WHO) recommends the introduction of a water safety plan (WSP) approach on drinking water, in all types of settings. This study represents the first WSP developed on the Neptune Fountain, in Bologna (Italy), based on an interdisciplinary approach, integrating hydraulic and microbiological features, in a Building Information Modeling (BIM). The aim was to develop a dynamic and digital platform to update and share the maintenance program, promoting collaboration among microbiologists, engineers, and municipal staff. Water samples were collected along fountain water distribution systems (WDS) from 2016 to 2021 to monitor water quality through the heterotrophic bacteria at 22 °C and 37 °C, as well as to conduct an Enterococci, Coliform bacteria, Escherichia coli, Pseudomonas aeruginosa, Clostridium perfringens, and Staphylococcus aureus assessment. Simultaneously, hydraulic measures were performed, and advanced geomatics techniques were used to detect the WDS structural components, with a focus on the water treatment system (WTS). The WTS consisted of 10 modules corresponding to specific treatments: descaling, carbon–sand filtration, reverse osmosis, and ultraviolet disinfection. Fecal indicators, heterotrophic bacteria, and P. aeruginosa exceeded the reference limits in most of the modules. Several disinfections and washing treatments, other than changing the maintenance procedure scheduling, were performed, improving the WTS and controlling the contamination. The developed microbiological results, hydraulic measurements, and maintenance procedures were integrated in the BIM model to optimize the data storage, updating procedures and the real-time data sharing. This approach improved the fountain management, operation, and material conservation, ultimately preserving the health of daily visitors.

Estimating Urban Traffic Safety and Analyzing Spatial Patterns through the Integration of City-Wide Near-Miss Data: A New York City Case Study

City-wide near-miss data can be beneficial for traffic safety estimation. In this study, we evaluate urban traffic safety and examine spatial patterns by incorporating city-wide near-miss data (59,277 near-misses). Our methodology employs a grid-based method, the Empirical Bayes (EB) approach, and spatial analysis tools including global Moran’s I and local Moran’s I. The study findings reveal that near-misses have the strongest correlation with observed crash frequency among all the variables studied. Interestingly, the ratio of near-misses to crashes is roughly estimated to be 1957:1, providing a potentially useful benchmark for urban areas. For other variables, an increased number of intersections and bus stops, along with a greater road length, contribute to a higher crash frequency. Conversely, residential and open-space land use rates show a negative correlation with crash frequency. Through spatial analysis, potential risk hotspots including roads linking bridges and tunnels, and avenues bustling with pedestrian activity, are highlighted. The study also identified negative local spatial correlations in crash frequencies, suggesting significant safety risk variations within relatively short distances. By mapping the differences between observed and predicted crash frequencies, we identified specific grid areas with unexpectedly high or low crash frequencies. These findings highlight the crucial role of near-miss data in urban traffic safety policy and planning, particularly relevant with the imminent rise of autonomous and connected vehicles. By integrating near-miss data into safety estimations, we can develop a more comprehensive understanding of traffic safety and, thus, more effectively address urban traffic risks.

A case of severe opioid and methamphetamine use disorder in a 14 year old

We present the case of a 14-year-old who established care at our primary care clinic after hospitalization for unintentional fentanyl overdose. They were diagnosed with severe opioid use disorder (OUD) and stimulant use disorder (StUD) and initiated buprenorphine while inpatient. They were then transitioned to the only known outpatient primary care clinic in her county who was actively providing medications for opioid use disorder (MOUD) in adolescents.At the first visit, they reported a history of 20 overdoses, struggling with adherence to buprenorphine and continued opioid cravings. An overdose safety plan was reviewed with them and their parent including providing them naloxone kits, fentanyl test strips, and education handout sheets. Due to their significant overdose history and adherence challenges with sublingual buprenorphine, they were started on long-acting injectable buprenorphine (LAIB) with weekly provider visits and urine toxicology screening. In collaboration with the treatment team, they initiated behavioral treatment with contingency management (CM), with incentives for appointment completion, expected urine results, and successful medication administration. Over the next 19 months, and to date, they have increasingly engaged with care and have remained abstinent. LAIB may be an appealing alternative for adolescents with OUD to improve adherence and reduce risk of recurrent use and overdose. Adjunctive treatment with CM may improve retention in MOUD and have the benefit of treating StUD. There is a need for further research to explore innovative, community-based treatment for youth with OUD.

Machine learning-based prediction of hazards fine PM2.5 concentrations: a case study of Delhi, India

The air quality of many geographical locations has been deteriorating in the last decades. This deterioration in air quality has affected a very large number of people, and they have been diagnosed with asthma and other respiratory problems. Among various pollutants, PM2.5 is the major cause of numerous health-related problems. Predicting PM2.5 concentration levels using ML models of these dissolved particles might help residents and the government prepare a better prevention and safety plan that can eventually lower the risk factor. The present study is based on predicting the PM2.5 concentration of Delhi by applying various ML models based on meteorological features like wind speed, temperature, humidity, visibility, etc. For prediction of PM2.5, linear regression, decision tree regression, RF regression, KNN regression, and Lasso regression methods were employed in the present study. The model performance was assessed using various parameters, including MAE, MSE, RMSE, and R2 Score. In a comparative study of all regression models, linear regression demonstrated the most favorable outcomes. The model exhibited a superior fit to the data, evidenced by its lowest RMSE value (52.19), outperforming the random forest regression (RMSE = 94.75), K Nearest Neighbor regression (RMSE = 83.93), each of which yielded higher RMSE scores compared to linear regression. Lasso regression (RMSE = 65.20) and decision tree (RMSE = 68.22) also exhibited improved performance following linear regression. The findings of this study advocate for implementing strategies to enforce stringent emission regulations for both industrial operations and vehicular activities. Such measures are imperative for mitigating air pollution levels and subsequently curtailing its adverse impacts on public health within the region. Additionally, this study underscores the necessity for further research endeavours to explore future avenues, with the aim of garnering global attention towards addressing this pressing issue.

Dynamic Deconstructive Psychotherapy for Suicidal Adolescents: Effectiveness of Routine Care in an Outpatient Clinic.

Suicidal behavior and demand for services have been increasing in adolescents. Many of the current treatments are focused on symptom mitigation, crisis management, and safety planning; however, few are aimed at remediating underlying vulnerabilities that may be contributing to suicide risk. Dynamic Deconstructive Psychotherapy (DDP) has been found to be effective for suicidal adults but has never been studied for adolescents. The present study examined real-world outcomes of 65 suicidal adolescents, aged 13-17 years, receiving weekly DDP in an outpatient clinic. The primary outcome was change in suicide ideation from baseline to 6 months of treatment as assessed by the Suicide Ideation Subscale of the Columbia Suicide Severity Rating Scale. In intent-to-treat analyses, suicide ideation significantly decreased over the 6 months with a large treatment effect (d = 1.19). Secondary measures, such as suicide attempts, self-harm, depression, anxiety, disability, self-compassion, and inpatient utilization, also improved significantly. Among the 42 adolescents (65%) who completed at least 6 months of treatment, suicide attempts decreased by 84%. DDP may be effective in reducing suicide ideation and other risk factors in suicidal adolescents and may be cost-effective given reduced inpatient utilization. These initial promising findings warrant further research and development.

Disaster mitigation strategies and preparedness of personnel of the municipality of Bulalacao: Basis for disaster management safety plan

Disaster mitigation strategies and preparedness of personnel of the municipality of Bulalacao: Basis for disaster management safety plan

Assessing risk for severe domestic violence and related homicides perpetrated by partners and in-laws: adapted danger assessments for women in abusive relationships in India

Despite domestic violence and related homicides perpetrated by partners and/or in-laws being a significant public health problem in India, there are no reliable and valid instruments to identify and intervene with women in domestic violence relationships. Continued domestic violence can escalate to severe, near-lethal, or lethal violence or homicide. The Danger Assessment (DA) is a risk assessment instrument designed to assess the likelihood of severe, near-lethal, or lethal violence in abusive relationships. However, the DA is not designed to determine the risk of future severe, near-lethal, or lethal violence by in-laws. In-law abuse plays a significant role in domestic violence-related homicides in India and other countries with similar cultural norms. This study addressed this gap by developing the Danger Assessment for in-laws (DA-L) to assess risk from in-laws, alongside the Danger Assessment for Women in India (DA-WI) to assess risk from partners. The study also examined the psychometric properties of the DA-L and DA-WI. Longitudinal data from 150 women in India were used to measure the reliability and validity of the two versions of the DA. The original DA items and additional risk items were examined using relative risk ratios for their relationship with severe violence at three-month follow-ups. Predictive validity was tested with the receiver operating characteristic curve. The study resulted in reliable and valid measures (11 items DA-L and 26-items DA-WI) of risk. The versions of the DA can be useful for practitioners in India and those working with Indian women in the US and other countries. The DAs can be used for identifying women in domestic violence relationships who are at risk for future severe domestic violence and guide the provision of tailored safety plans.

Using Digital Twin Technology to Conduct Dynamic Simulation of Industry-Education Integration

The high accident rate in the construction industry has a major impact on how well projects turn out. Despite substantial investments in safety planning and supervision, there has been a marked increase in the construction industry's accident rate compared to other sectors. Serious games based on VR have recently been used in the study, suggesting that workers are now more safety conscious. However, these situations need many resources to create and are not always realistic. Hence this paper, Digital Twin-based Construction Safety Training Framework (DT-CSTF) with Artificial Intelligence (AI), has been proposed to monitor employees' emotional, mental, and physical well-being in real-time. The report sheds light on the significance of DT technology and its function in Industry 5.0. Using the Unity game engine, the proposed DT-CSTF creates a virtual reality-based training environment (VRTE) prototype that incorporates BIM, construction timetables, and safety requirements. Following this, the suggested structure enables gathering user data about risks and providing tailored feedback. Automated virtual reality game training scenarios are created using data given by digital twins on project intent, project status, safety requirements, and history. Both improved digital twins and periodic construction safety monitoring are anticipated to reap the benefits of dynamic virtual reality training. The proposed management system offers effectiveness of VR-based security training, cost-benefit analysis, monitoring,employee behaviour, safety education values are obtained by the ratio of 96,90 %, 98,33 %, 99,25 %, 95,91 %, 98,66 % respectively