Data Collection Points Research Articles

A virtual community of practice to empower patients with recent ischemic heart disease: A randomized controlled trial.

To evaluate the effectiveness of a virtual community of practice (vCoP) in improving the activation of individuals with ischemic heart disease (IHD). We conducted a randomized controlled trial. A total of 282 patients with IHD from Madrid, Catalonia, and the Canary Islands were randomly allocated to an intervention or a control group. Patients were anonymized and the statistician was blinded to group allocation. The intervention was a multicomponent-tailored vCoP built on the Web 2.0 concept and focused on skills toward patient empowerment. The primary outcome was the Patient Activation Measure score. Secondary outcomes were self-efficacy to manage the disease, adherence to the Mediterranean diet, level of physical activity, depression, anxiety, medication adherence, and health-related quality of life. A linear regression model of mixed effects was carried out to estimate the effect of participating in the vCoP. Significant differences in adherence to the Mediterranean diet were found favoring the intervention at 6, 12, and 18 months, B = 0.86, 95% confidence interval (CI) [0.36, 1.35]. No significant changes among data collection points were found for the other variables. Our results suggest that vCoPs can be helpful for improving adherence to the Mediterranean diet in individuals with IHD, but not for improving their activation or quality of life. However, considerable uncertainty remains due to participants' high dropout rate. Further research is needed to identify the behavioral change mechanisms of such an intervention. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

What Turns Task Crafters into High Performers? Affective Commitment and Strategic Alignment as Critical Levers.

Considering that the impacts of task crafting on task performance are not uniform and may depend on goal congruence, this study attempted to explore the roles of affective commitment in individual-organizational goal congruence and strategic alignment in job-organizational goal congruence. Drawing on conservation of resources theory, we anticipated that affective commitment as a motivational resource and strategic alignment as an organizational resource would be critical levers for task crafting to affect task performance. Using a time-lagged design with two data-collection points, we conducted a multilevel analysis of data from 138 subordinates and 50 supervisors. As a result, we found that task crafting had the strongest positive effect on task performance when both affective commitment and strategic alignment were high. This study offers new insights regarding task crafting by identifying how employees can be effectively proactive. It also expands the theoretical application of conservation of resources theory by specifying how different types of resources interact to improve performance.

Regional Life Cycle Inventory of Soft Wheat in Central Italy: a Primary Data-Based Study

Wheat is one of the most important cereals worldwide as it plays a fundamental role in the diet of all population groups, including low-income ones. It accounts for the largest share of cereal production, representing about 20 % of calories and protein in the human diet. In Italy, 6.5 million tons of bread wheat are produced annually, spread across 540 000 hectares, placing the country among the top 15 global producers. The aim of this study is to present a Life Cycle Inventory (LCI) of the soft wheat supply chain in central Italy, following the guidelines outlined in ISO 14040:2006 and ISO 14044:2006, using primary data provided by three major Umbrian farms (central Italy) that are part of the supply chain of an important Italian bakery products industry (Colussi S.p.A). Among the various stages of soft wheat production analysed, we focused on the protection against fungal diseases and the use of pesticides, as this phase involves particularly critical points due to process variability. The reference unit used in this study was defined as 1 ha, and all the stages from raw materials production to seed harvesting were considered. The regionalized inventory provided by this study can be used as a starting point for data collection and as a guideline for future studies in comparable areas, allowing for more accurate results through the use of primary data.

Migration and Livelihood: A Case Study Sahid Lakhan Gaupalika, Gorkha

Migration is defined as movement of people from own country, place or locality to another in search of better opportunities. Migration has been an important social process of human history, where people have been moving from one place to another in search of livelihood. This study looks at the relationship between migration and livelihood in Sahid Lakhan Gaupalika of Gorkha District in Nepal. Concerning the research methodology, a cross-sectional survey design was employed, which only sought information at one point of data collection to determine migration aspects in the selected study area, as well as the adopted livelihood activities. Purposive sampling was used in which 65 respondents were selected using closed questionnaires. The nature of data was primary and quantitative which helped in presenting deeper picture of the existing issues and factors the study aimed at collecting rich data on migration and livelihoods in Sahid Lakhan Gaupalika. In this study it is revealed that economic reasons particularly job seeking are found to be the main cause of migration and then come education mission and finally joining of family members. Migration has significantly impacted the people’s way of living through increased employment opportunities in the formal sector and decreased employment opportunities in agriculture. This paper contributes to knowledge in the area of migration and its impact on the livelihoods with a view of informing policy and practice for the enhancement of the positive effects of migration and the minimization of the negative effects.

Autonomous spatial mapping and analysis of heterogeneous ambient sensor data in factories

ABSTRACT The measurement and analysis of spatially distributed ambient data (e.g. temperature, noise, lighting, or emissions) is an important aspect in factories. Ambient data is directly linked to various factory subsystems and ongoing activities and impacting operational performance, employee wellbeing, environmental outcomes, and associated costs. Due to the limited number of ambient sensor data collection points, interpolation methods are necessary to estimate ambient values at unmeasured locations, thereby generating a complete environmental distribution map. However, existing methods for analyzing spatially distributed ambient data face limitations in terms of availability, scope, and necessary efforts. The paper proposes an autonomous spatial mapping and analysis approach with multiple ambient data sources. It was validated in a factory setting with five ambient sensor data maps, and the evaluation of 12 spatial mapping methods revealed optimal interpolation techniques for different variables. This approach enables innovative manufacturing use cases with reasonable data acquisition efforts.

Effectiveness of a delegated primary care model in rural areas: design and methodology of a longitudinal observational study

BackgroundThe shortage of general practitioners (GPs) in Germany, particularly in rural areas, is a pressing issue that requires innovative and sustainable solutions. One promising approach is the integration of trained medical assistants to support GPs by handling specific tasks, thus enhancing the efficiency of healthcare delivery. Delegated home visits can be carried out by healthcare professionals (HPs) with a well-defined range of tasks.MethodsThis quasi-experimental, non-randomised longitudinal observational study runs from January 2023 to June 2025. The study participants are patients cared for by participating GPs, selected based on defined inclusion criteria, who receive regularly delegated home visits. Health-related quality of life (HRQoL) and satisfaction is assessed at three data collection points (t0 as baseline before starting the intervention, t1 after the first testing and data collection phase, and t2 after the second data collection phase). For assessing the HRQoL, we use the Short-Form-Health Survey (SF-12), and satisfaction is being measured using the patient satisfaction questionnaire ZUF-8. These parameters, as well as the continuously collected parameters (kilometers driven, travel and setup time), are analysed statistically (descriptive statistics, paired t test, Wilcoxon test, ANOVA). At t1 and t2, focus group interviews are conducted with the assistants on their satisfaction. They allow to identify the potential for concept improvement by qualitative content analysis.DiscussionThe “VERSORGT am ORT” (VaO, engl. “PROVIDED on SITE”) project aims to optimise healthcare by using scarce resources in a more efficient way, maintaining patient-professional trust, and extending delegation. It seeks to implement care plans with minimal location changes and generate real-world evidence. Due to geographical and policy limitations, the study will have comparatively few participants and will use a repeated measures design instead of a control group to assess patient HRQoL and satisfaction over time. Changes in HRQoL cannot be directly linked to the new care model due to unclear causalities. Mergenthal et al. reported that 59% of GPs in rural areas delegate home visits to healthcare professionals, saving time. The VaO project aims to further relieve GPs, increasing efficiency without compromising care quality.Trial registrationDRKS00033915 – Registration Date 19/03/2024.

Exploring temporal and cross-national patterns: The use of generative AI in science-related information retrieval across seven countries

This study explores the role of ChatGPT in science-related information retrieval, building on research conducted in 2023. Drawing on online survey data from seven countries—Australia, Denmark, Germany, Israel, South Korea, Taiwan, and the United States—and two data collection points (2023 and 2024), the study highlights ChatGPT’s growing role as an information intermediary, reflecting the rapid diffusion of generative AI (GenAI) in general. While GenAI adoption is a global phenomenon, distinct regional variations emerge in the use of ChatGPT for science-related searches. Additionally, the study finds that a specific subset of the population is more likely to use ChatGPT for science-related information retrieval. Across all countries surveyed, science-information seekers report higher levels of trust in GenAI compared to non-users. They also exhibit a stronger understanding of how (Gen)AI works and, with some notable exceptions, show greater awareness of its epistemic limitations.

Machine learning models to predict posttraumatic stress injuries in a sample of firefighters: A proof of concept

Firefighters face significant physical and psychological challenges in their profession that may increase the risk for post-traumatic stress injuries (PTSI). Longitudinal monitoring of PTSI is considered a preventive strategy to manage mental health at work, but tools to predict the probability of PTSI remain limited. To address this issue, our proof of concept aimed to use machine learning models to predict PTSI in firefighters through longitudinal intensive assessment. The study recruited 274 Canadian firefighters that monitored their mental health and psychosocial risk and protective factors with assessments every 2 weeks over 12 weeks. Our analyses trained and tested 27 models, which were developed by combining four different algorithms (logistic regression, support vector classifier and extreme gradient boosting), number of data collection points before target and typology of features (mental health symptoms and psychosocial predictors). Overall, most of the models showed medium-high values of accuracy and specificity, while sensitivity and precision showed greater variability depending on the composition of the models. Model comparison showed that (a) support vector classifier and extreme gradient boosting performed better than logistic regression, (b) the more assessment points prior to the target week are used, the best prediction is obtained, and (c) that full feature set performed better than distress measures only. Our results suggest that combining ML and intensive longitudinal assessment may lead to the development of a potentially useful prevention method in the future.

Trajectories of sleep disturbance and self-management of chronic conditions during COVID-19 among middle-aged and older adults

The COVID-19 pandemic has had a widespread impact on sleep quality, yet little is known about the prevalence of sleep disturbance and its impact on self-management of chronic conditions during the ongoing pandemic. To evaluate trajectories of sleep disturbance and their associations with one’s capacity to self-manage chronic conditions. A longitudinal cohort study linked to 3 active clinical trials and 2 cohort studies with 5 time points of sleep data collection (July 15, 2020–May 23, 2022). Adults living with chronic conditions who completed sleep questionnaires for two or more time points. Trajectories of self-reported sleep disturbance across 5 time points. Three self-reported measures of self-management capacity, including subjective cognitive decline, medication adherence, and self-efficacy for managing chronic disease. Five hundred and forty-nine adults aged 23 to 91 years were included in the analysis. Two-thirds had 3 or more chronic conditions; 42.4% of participants followed a trajectory of moderate or high likelihood of persistent sleep disturbance across the study period. Moderate or high likelihood of sleep disturbance was associated with age < 60 (RR 1.57, 95% CI 1.09, 2.26, P = 0.016), persistent stress (RR 1.54, 95% CI 1.16, 2.06, P = 0.003), poorer physical function (RR 1.57, 95% CI 1.17, 2.13, P = 0.003), greater anxiety (RR 1.40, 95% CI 1.04, 1.87, P = 0.03) and depression (RR 1.63, 95% CI 1.20, 2.22, P = 0.002). Moderate or high likelihood of sleep disturbance was also independently associated with subjective cognitive decline, poorer medication adherence, and worse self-efficacy for managing chronic diseases (all P < 0.001). Persistent sleep disturbance during the pandemic may be an important risk factor for inadequate chronic disease self-management and potentially poor health outcomes in adults living with chronic conditions. Public health and health system strategies might consider monitoring sleep quality in adults with chronic conditions to optimize health outcomes.

Improvement in quality of life and loneliness after the community connections program: a community-based pilot intervention in South Australia

BackgroundReducing loneliness and enhancing quality of life (QoL) are key public health priorities. However, limited empirical research examines the impact of community-based interventions on both loneliness and QoL. This study employed a single-group pre-post design to evaluate the South Australian pilot intervention, the Community Connections Program (CCP), assessing its effects on participants’ self-reported QoL and loneliness.MethodsIndividuals referred to the CCP pilot completed an interviewer-led survey at both intervention intake and completion. QoL was assessed with the Assessment of Quality of Life – 6 dimensions tool (AQoL-6D). Loneliness was assessed with the Campaign to End Loneliness Tool – 3-item measure (CtELT). Data were analyzed using descriptive statistics and paired sample t-tests.ResultsData from 195 adults who completed both data collection points were evaluated. AQoL-6D improved from intervention intake (M = 57; SD = 16) to completion (M = 66; SD = 13) (t(194) = -9.73, p <.05; d = 0.62). All six dimensions of AQoL improved, with the greatest increase in scores occurring for mental health, relationships and coping (results were statistically significant at p <.05). The largest within-group effect size was found for the dimension of mental health (d = 0.8). Participants’ overall feelings of loneliness significantly decreased between pre- (M = 6.7; SD = 2.99) and post- (M = 4.4; SD = 2.00) intervention measurement (t(186) = 10.50, p <.05; d = 0.90).ConclusionsParticipants of the CCP pilot intervention reported significantly improved QoL and reduced loneliness at program completion. The CCP shows promise for the ability of community-based interventions to reduce loneliness and improve QoL for individuals disconnected from their communities and local health and support care services. These findings have implications for the development of programs that facilitate place-based, person-centered connections as important drivers of public health and wellbeing.

Mapping of Soil pH and NPK Nutrients on Peat Agricultural Land in Kalampangan Village, Palangka Raya City

Kalampangan Village is one of the villages in Sebangau District, Palangka Raya City, Central Kalimantan Province. Kalampangan Village has an area of 5000Ha with a population of 4000 people. The main livelihood of the population is farming. Farmers convert peatlands into agricultural land to grow food crops. The main challenge of farming on peatlands is the high acidity value of peat soil which causes low soil nutrient content and decreases soil fertility. Therefore, this study aims to map the distribution of nutrient content and acidity of peat agricultural soil in Kelampangan Village. Data measurement in agricultural land was carried out using the Soil Sensor 5 Pin Probe RS485 NPKPHCTH-HMI043 by inserting the sensor feet into the ground and the results will be displayed on the HMI touch screen. While the coordinate points of data collection use the Global Positioning System. The data measurements obtained were analyzed using the Geographic Information System (GIS) application to produce a thematic map of the distribution of soil pH and NPK nutrients. The results show that peat agricultural land in Kalampangan tends to be slightly acidic (pH 4.48-6.64) with majority low N (0-1.24 mg/kg), P (0-18.44 mg/kg), and K (0-14.61 mg/kg) content. The resulting thematic map can be used as a reference for farmers to process peat agricultural land to be more productive, for local governments in formulating agricultural policies, and contribute to the development of science in the field of soil science.

Well-being package for foster carers and teachers of looked-after children aged 8 to 11 years: the STrAWB feasibility RCT.

Children in care are at elevated risk of mental health issues and poorer well-being, and social care and health services are under pressure to meet their needs. The Shared Training and Assessment for Well-Being programme is a recent approach to training and assessment designed to bring together foster carers and designated teachers to identify and meet the well-being needs of primary school-aged children in care, across the home and school contexts. This feasibility randomised controlled trial addressed key questions concerning the acceptability of the Shared Training and Assessment for Well-Being intervention (including training, assessments, clinical review and feedback) and the feasibility of the research design for a larger randomised controlled trial (including recruitment, randomisation and outcome measures). This was a two-arm randomised controlled trial (Shared Training and Assessment for Well-Being intervention vs. control group), with two points of data collection (baseline and 12-month follow-up) for our primary and secondary outcomes. The study focused on looked-after children from four local authorities in southern England. In the context of the COVID-19 pandemic, both the research and intervention activities were undertaken online with participants. Looked-after children aged 8-11 years were recruited from the participating local authorities, along with their foster/kinship carers and designated teachers. Carers for all children in the authorities meeting inclusion criteria were initially invited to participate. The original target sample size was 70 children, with 35 receiving the Shared Training and Assessment for Well-Being intervention and 35 in the control group. However, only 21 looked-after children were successfully recruited and randomised. Shared Training and Assessment for Well-Being is an integrated approach that combines training on mental health, well-being and resilience for foster carers and designated teachers; a multi-informant assessment package; review of assessments by mental health experts; and feedback to enable key adults to respond to identified needs and strengths. COVID-19 adaptations enabled all key elements to be delivered remotely. Two multi-informant primary outcome measures were included as possible candidates for a larger randomised controlled trial: the Strengths and Difficulties Questionnaire and the Paediatric Quality of Life Scale. A further multi-informant secondary outcome measure was also included: the Behavioural and Emotional Rating Scale. Feasibility was not demonstrated, as recruitment was heavily impacted by the COVID-19 pandemic and further attrition occurred over the extended project duration. For the small number who completed the Shared Training and Assessment for Well-Being package, key elements of the intervention were acceptable to participants. In addition, beyond issues with recruitment and retention, key aspects of the randomised controlled trial design, including randomisation, were acceptable. It is impossible to distinguish precisely between impacts of COVID-19 and broader challenges with securing the capacity and stability needed to deliver and evaluate the Shared Training and Assessment for Well-Being intervention. Key elements of the Shared Training and Assessment for Well-Being intervention and randomised controlled trial process were acceptable, but the overall randomised controlled trial research design was not feasible in this study. The project was heavily compromised by the impact of the COVID-19 pandemic on foster carers, schools, local services and children. Potential strategies are suggested to address challenges with evaluating integrated training and assessment approaches aimed at key adults supporting looked-after children. This synopsis presents independent research funded by the National Institute for Health and Care Research (NIHR) Public Health Research programme as award number NIHR127799.

The Impact of a Positive Body Image Program (Body Image Awareness Seminars) on the Positive and Negative Body Image of Individuals Living With Cancer.

Using action research principles to address gaps in existing interventions, and in consultation with members and administrators of Wellspring Canada, the purpose of the current study was to adapt and examine the impact of a novel (concept, content, and inclusivity) positive body image program (Body Image Awareness Seminars; BIAS) on positive and negative body image in individuals living with cancer. The project used a single-group pretest-posttest design with a 6-week follow-up. Over the 6-week program, 37 participants engaged in 90-min weekly group sessions consisting of researcher-led psychoeducation, group discussion, and activities grounded in positive body image research. Each seminar had a unique theme designed to promote respect, acceptance, and appreciation for the body. Participants completed the Body Image Scale, Body Appreciation Scale-2, Functionality Appreciation Scale, Measure of Body Apperception, Appearance Evaluation subscale, and Self-Compassion Scale anonymously using Qualtrics at the 3 data collection points. Homework assignments included optional readings and writing exercises based on the positive body image tenet taught that week. Participants reported statistically significant improvements in positive body image (i.e., body appreciation, functionality appreciation), self-compassion, and negative body image (i.e., body image distress and disturbance, investment in body integrity and appearance evaluation), which were sustained at the 6-week follow-up in a subsample of participants (n = 11). This study suggests that the adapted BIAS program can lead to improvements in both positive and negative body image in individuals living with diverse types of cancer. Results support the implementation of BIAS in the standard of care for those living with cancer to continue to affect positive change.

Unravelling the trajectory of frailty and its influencing factors in elderly patients with coronary heart disease after percutaneous coronary intervention: protocol for a cohort study in China

IntroductionFrailty is an important factor affecting the short-term and long-term outcomes of elderly patients with coronary heart disease (CHD) after surgery. Most previous studies only assessed frailty before surgery or...

MSConnect: Open-Source, End-to-End Platform for Automated Mass Spectrometry Data Management, Analysis, and Visualization.

The scale of mass spectrometry-based proteomics data sets continues to increase, and the analysis workflows are becoming more complex as various steps are carried out using a multitude of software programs developed by both commercial providers and the research community. Manually shepherding data across multiple programs and in-house-developed scripts can be error prone and labor intensive. It is also difficult for others to follow the same steps, leading to poor repeatability. We have developed an integrated data management and analysis platform termed MSConnect that enables simple and traceable processing workflows across multiple programs, thus improving repeatability and automating common backup and analysis steps from the point of data collection through summarization and visualization. The open nature of the MSConnect platform enables the diverse omics community to seamlessly integrate third-party tools or develop and automate their own unique workflows. With an open license and design architecture, MSConnect has the potential to become a community-driven platform serving a wide range of MS-based omics researchers.

Cluster based UAV Path Planning Using White Shark Optimizer (WSO) Algorithm for LoRaWAN

Introduction: LoRaWAN defines the network architecture and communication protocol for Long-distance devices among Low-power Wide Area Network (LPWAN). Wide-ranging coverage and great mobility of Unmanned Aerial Vehicles (UAVs) provide up new possibilities for data collection. The main problem in UAV data collection is to tackle the path planning. Objectives: The main objective of this work is to determine the UAV trajectory path to minimize the UAV flying distance and data gathering time. Methods: An effective Cluster based UAV Path Planning (CPP) using White Shark Optimizer (WSO) algorithm is proposed. The proposed algorithm is based on distance among the cluster head (CH) and the UAV Data Collection Point (DCP), energy level of the nodes and sensor’s data generation rate. Results: By simulation results, it has been shown that CPP-WSO attains lesser data collection delay and packet drop rate with higher packet delivery ratio and average residual energy. Conclusion: The proposed CPP-WSO enhances the lifetime of both sensor nodes as well as UAV.

The concept of case mentoring for a nursing expert: APN with a CNS focus and its impact on the nursing process

The concept of case mentoring for a nursing expert: APN with a CNS focus and its impact on the nursing process Abstract: Background: An advanced and in-depth nursing approach aims to improve nursing practice through the use of nursing experts (APN) with a focus on Clinical Nurse Specialists (CNS), directing care towards a patient-centered model. The case mentoring concept was developed at Hospital Neumarkt as a practical and patient-centered field of activity for nursing experts (APN). Objectives: Within the scope of "case mentoring", the Advanced Nursing Process is introduced to initiate evidence-based nursing for a defined patient group. Additionally, a positive influence on nurses' attitudes towards the nursing process is expected. Methods: A study was conducted using a mixed-method design with two data collection points. In addition to a document analysis, nurses were surveyed using the "Position on the Nursing Process" to assess their attitudes towards the nursing process. Results: The document analysis shows that the nursing process is more complete, structured, and evidence-based after the implementation of case mentoring. The cross-sectional survey indicates that nurses recognize the benefits and value of the nursing process more clearly after the implementation of case mentoring. Discussion: The case mentoring concept enables the implementation of an advanced nursing process and positively influences nurses' attitudes towards the nursing process, thereby enhancing overall nursing quality. Conclusions: These results underscore the relevance of CNS-led professional guidance.

Calotropis Procera Plant Extract: Phytochemical Analysis, Antimicrobial Activity, and Coumarin Compound Identification

Phytochemical screening of Calotropis procera (Aakh, Milkweed) leaf and stem extracts was performed using solvents: hexane, benzene, dichloromethane, methanol and distilled water. zAlkaloids, carbohydrates, reducing sugar, tannins, phenolic compounds, gum and mucilage, flavonoids, quinines, and coumarin were all present. At a concentration of 20 g/mL, the methanolic extract of Calotropis procera demonstrated good antibacterial action against two bacteria: the gram-positive Bacillus subtilis and the gram-negative Escherichia coli, as well as fungi, Candida albicans. The therapeutic value of Calotropis procera is positively impacted by the zone of inhibition of bacteria and fungi. The extraction of coumarin from the plant extract was done using the Soxhlet extraction method. Preliminary tests were conducted to identify coumarin in plant extract. The tests include FTIR data collection and melting point determination concerning commercial coumarin. The melting point measurement was found to be 68±2˚C. The stretching band at 1702 cm-1 was attributed to &gt;C=O functional group of coumarin. The plant extracts themselves can be applied in therapeutic use, and the pure form of coumarin can be utilized to create various derivatives, including acetyl coumarin, thiosemicarbazones, and metal complexes, which can be used to investigate antifungal, antibacterial, and anticancer properties.

Gender and ethnoracial disparities in Veterans’ trauma exposure prevalence across differing life phases

BackgroundVeterans show increased vulnerability to trauma exposure. Yet, there is limited research examining Veterans’ prevalence of experiencing different trauma exposure types by race, gender, and ethnicity and across unique phases of life (i.e., pre-military service, during service, and post-service). This study compares trauma exposure prevalence across women and men Veterans of differing ethnoracial identities (i.e., white, Black, Hispanic) within three life phases (i.e., pre-military service, during military service, post-military service).MethodsThis study examined survey data from 3,544 Veterans (1,781 women; 1,686 men) across six discrete data collection points (between August 2018 to March 2022). Surveys were mailed nationally and oversampled for women (51.6%) and Veterans living in high crime areas (67.6%). Veterans reported on their exposure to various trauma types (e.g., sexual assault, physical assault, community violence, captivity, serious accident, witnessing violent death) at each wave of data collection using items from a modified Life Events Checklist. Veterans also reported on demographic information (e.g., gender, race, ethnicity). Chi-square analyses were conducted to compare prevalence of reported exposure to each trauma type within each life phase across gender and ethnoracial groups.ResultsThere were significant differences in trauma exposure prevalence across: (1) men vs. women Veterans; (2) white vs. Black vs. Hispanic Veterans; (3) Black vs. Hispanic vs. white women Veterans; and (4) Black vs. Hispanic, vs. white men Veterans. For example, in this study, Black men Veterans reported higher prevalence of intimate partner physical assault exposure pre-service (14.8%) and post-service (27.1%) than White men Veterans (9.0% and 13.8%; prevalence ratios = 1.64, 95% CI = 1.17, 2.32 and 1.96, 95% CI = 1.53, 2.51). White women Veterans were less likely to witness a violent death pre-service (11.5%) than Black (21.1%; prevalence ratio = 1.83, 95% CI = 1.42, 2.37) or Hispanic (18.1%) women Veterans.ConclusionsFindings help uncover disparities within Veteran subgroups. They inform mental health treatment and prevention services to better meet the needs of all Veterans across differing life phases.

Empowering local sustainability: assessing small-scale wind energy potential offshore Enggano Island for independent renewable communities

Abstract Enggano is an island in North Bengkulu Regency. Last year, the island only had electricity for 14 hours a day, supplied by generators using fuel oil (BBM). The use of fuel oil is considered inefficient because it is difficult to transport to Enggano. In addition, fuel oil is a non-renewable energy source. The use of new and renewable energy can be a solution to these problems because harvesting energy from around the Enggano site itself does not require a lot of money for shipping. One of the new and renewable energy potentials to be analyzed in Enggano is wind energy. Enggano Island has wind speeds of more than 4.0 m/s or medium wind speeds. Therefore, the wind around Enggano Island deserves further energy analysis. The research started with the selection of data collection points. Secondary wind speed and direction data were then obtained from ECMWF over 20 years. The data will then be compared to NASA Power data. The wind data will be used as a reference for the calculation of the wind energy potential offshore Enggano Island. In addition to the wind potential data, the energy needs of the island will be analyzed in the coming years. In this way, the planning of the wind turbines will be in line with the needs of the Enggano Island community to become an energy-independent community. Based on all the analyses carried out, 2,422 MWh of energy will be required every year to meet the needs of around 1300 houses on Enggano Island. To meet this demand, 40 wind turbines with a capacity of 20 kW and a diameter of 13.1 m can be used.