The effect of a low versus high sodium diet on blood pressure in diabetic patients:A systematic review and meta‐analysis of clinical trials

Abstract There have been numerous clinical trials that have investigated the effect of sodium intake on blood pressure in diabetic patients. The purpose of this systematic review and meta‐analysis was to evaluate the clinical trial studies performed on the effect of low sodium diet (LSD) versus high sodium diet (HSD) on blood pressure in diabetic patients. PubMed, Scopus, and Web of Science were systematically searched from database inception to July 10, 2021. Both type 1 and 2 diabetes was considered. Overall, there were 15 studies included in this meta‐analysis. The weighted (WMD) mean difference with 95% confidence interval (CI) was calculated using a random‐effects model. Risk of bias in the studies was assessed based on the Cochrane collaboration tool and the quality of all the studies was considered as good. Overall, LSD significantly reduced SBP (systolic blood pressure) (WMD: −3.79 mmHg, 95% CI: −6.02, −1.56) and DBP (diastolic blood pressure) (WMD: −1.62 mmHg, 95% CI: −2.84, −0.40), in comparison with HSD, in diabetics. However, LSD had no significant effect on MAP (mean arterial pressure) in comparison with HSD (WMD: −1.81, 95%CI: −5.49, 1.87). Although subgroup analysis could not attenuate heterogeneity in SBP, subgroup analysis in DBP based on duration (≤1 week: WMD: −2.35, 95%CI: −3.69, −1.00, I2 = 48.9%, p = 0.081, >1 week: WMD: −1.04, 95% CI: −2.83, 0.76, I2 = 74.7%, p = 0.003) and study design (cross‐over: WMD: −1.94, 95% CI: −2.71, −1.17, I2 = 32.1%, p = 0.183, parallel: WMD: −2.17, 95% CI: −6.48, 2.13, I2 = 82.4%, p = 0.001) successfully detected sources of heterogeneity. LSD significantly reduced SBP and DBP, however, had no effect on MAP, in comparison with HSD

Business Intelligence Systems Adoption Model: An Empirical Investigation

Decision support and business intelligence systems have been increasingly adopted in organizations, while understanding the nature of affecting factors on such adoption decisions need receiving much academic interest. This article attempts to provide an in-depth analysis toward understanding the critical factors which affect the decision to adopt business intelligence (BI) in the context of banking and financial industry. In this regard, it examines a conceptual model that shows the impacts of different technological, organizational, and environmental factors in the decision to adopt BI by a firm. Structural equation modeling (SEM) was used for data analysis and test the relevant hypothesis. The results of this article which are derived from theoretical discussion of hypothesizes show that from nine hypothesized relationships—perceived tangible and intangible benefits, firm size, organizational readiness, strategy, industry competition and competitors absorptive capacity—affect BIS adoption in the surveyed cases

The impact model of business intelligence on decision support and organizational benefits

Purpose – Decision support (DS), as a traditional management concept, have had a remarkable role in competitiveness or survival of organizations and nowadays, business intelligence (BI), as a brand modern impression, has various contributions in supporting decision-making process. Although, a variety of benefits are expected to arise from BI functions, researches, and models that determining the effect of BI functions on the decisional and organizational benefits are rare. The purpose of this paper is to study the relationship between BI functions, DS benefits, and organizational benefits in context of decision environment. Design/methodology/approach – This research conducts a quantitative survey-based study to represent the relationship between BI capabilities, decision support benefits, and organizational benefits in context of decision environment. On this basis, the partial least squares (PLS) technique employs a sample of 228 firms from different industries located in Middle-East countries. Findings – The findings confirm the existence of meaningful relationship between BI functions, DS benefits, and organizational benefits by supporting 15 out of 16 main hypotheses. Essentially, this research provides an insightful understanding about which capabilities of BI have strongest impact on the outcome benefits. Originality/value – The results can provide effective and useful insights for investors and business owners to utilize more appropriate BI tools and functions to reach more idealistic organizational advantages. Also it enables managers to better understand the application of BI functions in the process of achieving the specified managerial support benefits. Keywords Decision support benefits, Organizational benefits, BI functions, Business intelligence (BI) benefits, Partial least squares (PLS) technique Paper type Research pape

Sensitive and selective electrochemical detection of bisphenol A based on SBA-15 like Cu-PMO modified glassy carbon electrode

This work reports the electrochemical detection of bisphenol A (BPA) using a novel and sensitive electrochemical sensor based on the Cu functionalized SBA-15 like periodic mesoporous organosilica-ionic liquid composite modified glassy carbon electrode (Cu@TU-PMO/IL/GCE). The structural morphology of Cu@TU-PMO is characterized by X-ray powder diffraction (XRD), energy dispersive X-ray analysis (EDX), Fourier transform infrared spectroscopy (FT-IR), transmission electron microscopy (TEM), Field emission scanning electron microscopy (FESEM), and Brunauer-Emmett-Teller (BET). The catalytic activity of the modified electrode toward oxidation of BPA was interrogated with cyclic voltammetry (CV) and differential pulse voltammetry (DPV) in phosphate buffer solution (pH 7.0) using the fabricated sensor. The electrochemical detection of the analyte was carried out at a neutral pH and the scan rate studies revealed that the sensor was stable. Under the optimal conditions, a linear range from 5.0 nM to 2.0 mu M and 4.0 to 500 mu M for detecting BPA was observed with a detection limit of 1.5 nM (S/N = 3). The sensor was applied to detect BPA in tap and seawater samples, and the accuracy of the results was validated by high-performance l

Exploring the promise of virtual reality in enhancing anatomy education: a focus group study with medical students

Virtual reality (VR) has the potential to be used as a transformative tool in medical education - offering both interactive models and clinical simulations to enhance training. VR presents a space and cost-effective solution for remote education, combined with prospects of higher efficiency and interactivity than traditional training. This study aimed to explore the potential application and perception of VR in a focus group of medical students as an innovative tool for learning anatomy. Sixteen students underwent a structured VR lesson plan exploring concepts in anatomy. Pre- and post-surveys assessed participants’ exposure to VR, previous exposure to and preparedness in anatomy training, and attitudes toward VR. Results revealed that despite limited prior exposure to VR, participants found the technology both easy to navigate and comfortable to use. Notably, over 90% of students indicated that VR would enhance their anatomy learning experience and help them learn a topic better than traditional models. Furthermore, 94% of participants agreed that this learning modality should be offered to medical students, and if given access to this technology, most would utilize it for learning anatomy and potentially for other subjects as well. This study emphasizes VR’s potential to enhance medical education, particularly in anatomy instruction. VR’s adaptability, user-friendly interface, and positive student perceptions highlight its viability as a supplemental tool. Future research should explore specific anatomy applications, long-term impacts on knowledge retention, and the evolving role of VR in medical education