Mississippi Valley State University (MVSU, The Valley or Valley) is a public historically black university in Mississippi Valley State, Mississippi, adjacent to Itta Bena, Mississippi. MVSU is a member-school of the Thurgood Marshall College Fund.
Professional efficacy among Nigerian prison officers reflects their ability to work effectively with coworkers and inmates despite correctional challenges, and a low personal efficacy is a dimension of job burnout. Using the job demands and resources model, this study examined how job demands, such as fear of victimization, role overload, and routinization, and job resources, such as training views, supervision, and instrumental communication, affect efficacy. Survey data from 120 officers in southeastern Nigeria were analyzed with Ordinary Least Squares (OLS) multivariate regression. Routinization was associated with lower efficacy, while supervision and instrumental communication were associated with higher levels. The findings highlight the role of job variety, supportive supervision, and open communication in sustaining officers' professional efficacy.
The emergence of Data concepts, sources, types, and analysis mechanisms has changed dramatically in recent years. Nowadays, big data analytics (BDA) dominates the attention of scholars and practitioners. Since this emergence, different business sectors have started deploying BDA in various endeavors to help improve decision-making and gain a competitive advantage. Recently, some organizations reported that BDA has not yielded the expected business value. In addition, researchers have focused so far on BDA usage in developed countries. Antecedents of BDA adoption have been widely researched; nevertheless, this study is among the first to collate selected antecedents and perceived performance of BDA adoption in one integrated and validated model in the telecommunication sector. Using a purposive sampling technique, thestudy deployed structural equation modeling (SEM) to analyze 201 observations. The findings reveal that six of the eight antecedents of BDA significantly impact BDA, while two showed no significant effect. Furthermore, this research finds that BDA has a positive impact on perceived performance, thus contributing to the technology adoption literature by offering valuable insights for researchers and practitioners in a developing country like Sudan.
Background: social media, screen time, online gaming, and digital work settings are just a few examples of the rapidly expanding digital media use that has sparked worries about its possible effects on physical health. Recent data indicates that extended use of digital media may affect the physiological, behavioral, and psychological processes linked to cardiovascular disease (CVD). Methods: From the beginning until June 2025, we performed a thorough literature search in PubMed, Scopus, Web of Science, and EMBASE. Studies that reported correlations between different types of digital media exposure (such as screen time, social media use, and internet usage) and cardiovascular outcomes (such as hypertension, coronary artery disease, myocardial infarction, and stroke) were eligible. Results: A total of 42 studies (n = 1,240,378 participants) met inclusion criteria. A substantially higher risk of cardiovascular events was linked to high digital media exposure (≥6 hours/day) (pooled OR = 1.27; 95% CI: 1.12–1.44). Stronger correlations were found by subgroup analyses between younger persons (18–35 years old) and those who reported passive screen time or other forms of sedentary media usage. The risk of CVD mortality was higher for individuals in the highest category (median duration, 10.2 h/d) than for those in the lowest category (median duration, 2.98 h/d) (pooled HR, 1.29; 95% CI, 1.13–1.47). Screen time was linked to a comparable risk of CVD as total sedentary time, with a cut-off point of 5–6 hours per day. Conclusions: Existing systematic reviews and meta-analyses demonstrate significant association between high digital media exposure and increased cardiovascular disease risk.
Empirical research related to computer-assisted audit tools and techniques (CAATTs) has been limited as the developing information technology (IT) audit environment in Sudan expands. To address this limitation, this study examines the relationship between user-based drivers of CAATTs usage and perceived CAATTs usage outcomes in Sudanese auditing firms. By testing a conceptual framework with survey data collected from 234 auditors, we find that six of ten hypothesized variables are statistically significant and relate to CAATTs usage; notably, however, perceived ease of use, client pressure, industry pressure, and user trust were not. Furthermore, CAATTs usage was associated with higher levels of three of the four CAATTs outcomes: audit services, task effectiveness, and auditor performance. We conclude that our study provides a starting point for understanding CAATTs enabling and CAATTs benefiting factors in developing environments, but provides evidence that further investigation is warranted to encourage wider CAATTs usage and therefore enhance overall audit efficacy.
Insulin resistance significantly contributes to diabetes; it can be influenced not only by lifestyle but also by environmental contaminants. Emerging evidence suggests that perchlorate, nitrate, and thiocyanate-widely dispersed sodium/iodide symporter (NIS)-inhibiting pollutants- might influence insulin resistance; however, their direct associations remain insufficiently investigated. Using NHANES data, this study investigated whether urinary levels of these chemicals correlate with insulin resistance, addressing a critical gap in understanding environmental contributors to diabetes risk. We analyzed 2011-2020 NHANES data from 3047 U.S. adults (≥20 years). Insulin resistance was assessed via HOMA-IR, with values > 2.6 being used to define insulin resistance. Weighted multivariable regression models showed that the highest tertile of perchlorate exposure demonstrated positive associations with HOMA-IR (β=0.13, [95 % CI: 0.03, 0.23]) and insulin resistance (OR=1.96, [95 % CI: 1.20, 3.22]) in fully adjusted models. (RCS) Analyses revealed an inverted U-shaped nonlinear dose-response relationship between nitrate exposure and both HOMA-IR and insulin resistance. Stratified analyses identified pronounced effects among obese individuals (BMI≥30 kg/m²), with perchlorate showing the strongest association (HOMA-IR β=0.45, [95 % CI: 0.31, 0.59]; insulin resistance OR=3.47, [95 % CI: 1.93, 6.23]). Similar patterns emerged for those with large waist circumference (≥100 cm). Weighted quantile sum regression indicated a significant positive trend mixture effect (HOMA-IR β=0.06, [95 % CI: 0.02, 0.12]), with perchlorate contributing most substantially (weight=0.74). However, BKMR further captured the complex joint effects of the chemical mixture, demonstrating component-specific and nonlinear exposure-response relationships, with perchlorate emerging as the primary contributor to the mixture-related metabolic effects. In conclusion, this study identified a positive association between higher perchlorate exposure and insulin resistance, with obesity markedly potentiating this association, underscoring the need to consider environmental chemical exposures in diabetes prevention strategies.
