The level of trust in cryptocurrencies as an investment option for both individual and institutional investors, and how it relates to Knowledge Management

The purpose of this study is to examine the level of trust in cryptocurrencies as a means of investment among both individual and institutional investors, and to explore the connection between this trust and knowledge management. The research aims to understand the current perceptions and attitudes towards cryptocurrencies as an investment option, and how effective management of knowledge can impact these perceptions. The findings of this study will provide valuable insights into the level of trust in cryptocurrencies as an investment option and how it relates to knowledge management. By understanding the current perceptions and attitudes towards these digital assets, and how the effective management of knowledge can influence these perceptions, stakeholders such as investors, regulators and policymakers can make more informed decisions. The results of this study will provide valuable information for those in the cryptocurrency market and in the field of knowledge management

The Impact of Big Data on Organizational Decision Making: A Structural Equation Modeling Approach

Big data has become an integral part of organizational decision making in recent years. The abundance of data and the advancement of technology have made it possible for organizations to collect, store, and analyze large amounts of data. However, the impact of big data on organizational decision making is not well understood. The purpose of this study is to examine the relationship between big data and organizational decision making using a structural equation modeling approach. The proposed model includes the variables of big data, organizational decision making, data quality, analytical tools and decision maker’s ability to process and interpret data. By using a survey of managers and decision makers from different industries, and analyzing the data using SEM techniques, this study aims to provide insight into the impact of big data on organizational decision making and the moderating effects of data quality, analytical tools, and decision maker's ability to process and interpret data. The results of this study will help organizations to better understand the factors that influence the effectiveness of big data in decision making

Acute Appendicitis among Saudi and Non-Saudi Patients: A Cross-Sectional Based Study

Objective: We conduct this study to discuss the differences between Saudi and non- Saudi patients with acute appendicitis.Background: Acute appendicitis is one of emergency surgeries in developing and developed countries. Its symptoms are vomiting, lower abdominal pain and decreased appetite. Appendicitis needs urgent surgical prouder to avoid its perforation and associated complications which may lead to death. Method: We conduct cross-sectional based study in one of khamis Mushayt, Saudi Araba. 136 patients diagnosed with acute appendicitis were included and their medical records were reviewed after getting their informed consent.Results: We included 136 patients, 90 were non-Saudi and 46 were Saudi. There were no statistically differences in their diagnosis but the distribution of the diagnosis was different.Conclusion: Acute appendicitis was more prevalent among non-Saudi patients, the diagnosis between both was with no significant differences. Keywords: acute appendicitis, Saudi, non-Saudi, diagnosis, cross-sectional, Saudi Arabia and khamis Mushayt

Risk and diagnostic factors and therapy outcome of neonatal early onset sepsis in ICU patients of Saudi Arabia: a systematic review and meta analysis

BackgroundNeonatal early onset sepsis (NEOS) is a serious and potentially life-threatening condition affecting newborns within the first few days of life. While the diagnosis of NEOS was based on clinical signs and symptoms in the past, recent years have seen growing interest in identifying specific diagnostic factors and optimizing therapy outcomes. This study aims to investigate the diagnostic and risk factors and therapy outcomes of neonatal EOS in ICU patients in Saudi Arabia, with the goal of improving the management of neonatal EOS in the country.MethodsThis method outlines the protocol development, search strategy, study selection, and data collection process for a systematic review on neonatal early onset sepsis in Saudi Arabian ICU patients, following the PRISMA 2020 guidelines. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) is a well-established guideline that provides a framework for conducting systematic reviews and meta-analyses in a transparent and standardized manner. It aims to improve the quality and reporting of such research by ensuring clear and comprehensive reporting of study methods, results, and interpretations. The search strategy included electronic databases (PubMed, Embase, Google Scholar, Science Direct, and the Cochrane Library) and manual search of relevant studies, and data were extracted using a standardized form.ResultsThe systematic review included 21 studies on neonatal sepsis in Saudi Arabia, with varying study designs, sample sizes, and prevalence rates of sepsis. Group B streptococcus and E. coli were the most commonly isolated pathogens. Various diagnostic factors and risk factors were reported, including hematological parameters, biomarkers, and blood cultures. The quality of the included studies was assessed using the Newcastle-Ottawa Scale and Joanna Briggs Institute critical checklist.ConclusionsThe review identified a number of risk and diagnostic factors and therapy outcomes for neonatal sepsis. However, most of the studies were having small scale cohort groups. Further research with controlled study designs is needed to develop effective prevention and management strategies for neonatal sepsis in Saudi Arabia

Characteristics and anticancer properties of Sunitinib malate-loaded poly-lactic-co-glycolic acid nanoparticles against human colon cancer HT-29 cells lines

Purpose: To develop poly-lactic-co-glycolic acid (PLGA) -based nanoparticles (NPs) for the delivery of sunitinib malate (STM) to colon cancer cells.Methods: Three different formulations (F1 – F3) were developed by nano-precipitation technique using various concentrations of PLGA. The NPs were evaluated for particle size, polydispersity index, zeta potential, drug entrapment, and drug loading, using differential scanning calorimetry (DSC), Fouriertransform infrared spectroscopy (FTIR), x-ray diffraction (XRD), and scanning electron microscopy (SEM). Furthermore, in vitro drug release and anticancer studies were carried out on the formulations.Results: Among the three NPs, optimized NP (F3) of STM was chosen for in vitro anti-cancer study against H-29 human colon cancer cells lines based on its particle size (132.9 nm), PDI (0.115), zeta potential (-38.12 mV), entrapment efficiency (52.42 %), drug loading (5.24 %), and drug release (91.26 % in 48 h). A significant anti-cancer activity of the optimized NPs was observed, relative to free STM.Conclusion: These findings suggest that STM-loaded NPs possess significant anti-cancer activity against human colon cancer HT-29 cells lines.Keywords: Sunitinib malate, Poly-lactic-co-glycolic acid, Nanoparticles, Colon cance

Association between Diabetes Consequences and Quality of Life among Patients with Diabetes Mellitus in the Aseer Province of Saudi Arabia

BACKGROUND: Diabetes mellitus (DM) is a major health-care burden worldwide. AIM: The aim of the study was to explore how the quality of life (QoL) of DM patients could be affected in the Aseer Province of the Kingdom of Saudi Arabia (KSA). METHODS: A cross-sectional, multicenter study in DM patients of both sexes and all age groups in Aseer Province were done using a validated self-administered questionnaire. The study was conducted between April 1, 2018 and November 25, 2018. RESULTS: A total of 418 patients completed our questionnaire, of which 240 (58%) were male and 178 (42%) were female. Furthermore, 50.23% were married and 104 (24.16%) were illiterate. We found that 403 (96.42%) respondents had type-2 DM and 315 (75.35%) had a family history of DM. In addition, 132 (31.57%) respondents were on monotherapy whereas only 61 (14.59%) were using combination therapy. Hypertension was the most prevalent comorbidity (166, 39.71%) and peripheral neuropathy the most prevalent complication of DM (157, 37.56%). CONCLUSION: DM had a significant impact on QoL among patients from Aseer Province in KSA. Our study underscores the importance of generating data on QoL among DM patients

Type 1 and Type 2 Diabetes among Youths in Jordan: Incidence and Trends for the period (2011-2016)

This study aimed at analyzing the incidence of Type 1 and Type 2 diabetes among youths in Jordan for the period (2011-2016), the researchers adopted the survey methodology for the period of five years from the records of the medical centers (public and private) in Jordan. Also investigated the differences between Type 1 and Type 2 diabetes in diagnosis and treatments. Results showed significant upward trend in the incidence of type 1 diabetes was observed overall with considerable variation across demographic subgroups of age, sex. And also showed among youths who were 10 to 19 years of age, unadjusted models revealed significant increases in the incidence of type 2 diabetes with increases observed across all age and sex

Awareness and Regulatory Measures in Caffeine Addiction: Medical Statistical Review

This study aimed at analyzing the degree of awareness and regulatory measures in the caffeine addiction within a medical statistical survey in Jordan, by attempting to answer the study two questions: What are the level of awareness and regulatory measures in caffeine addiction for positive psychological effects (alertness, attention and concentration)?, and: What are the level of awareness and regulatory measures in caffeine addiction for negative psychological effects (anxiety, depression and irritable)? The results of the study showed that there will be a statistically significant differences at the level of significance (α=0.05) of the awareness of caffeine addiction for both positive psychological effects (alertness, attention and concentration) and negative psychological effects (anxiety, depression and irritable) in Jordan. The researchers recommended to educate university students about the importance of controlling their caffeine intakes, and encourage university students to exploit the medical information provided by the medical studies about the risks of high doses of caffeine intakes

Adherence to antidiabetic medication during the month of Ramadan among diabetes mellitus patients in the kingdom of Saudi Arabia

Background: Ramadan may lead to reduced adherence to antidiabetic medications among Saudi diabetes patients due to fasting, changes in daily routine, social and cultural influences, health risks, and inadequate awareness. This study aimed to assess the Saudi population adherence to the diabetes management medication in Ramadan. Methodology: A convenience sampling method was used to recruit participants for the study. Participants were sourced from social media platforms, diabetes mellitus patient groups, and healthcare providers groups. The Medication Adherence Rating Scale (MARS), a tool, was used to assess medication compliance. Results: A total of 384 individuals were included in this study, 20.3% were from Riyadh, 52.3% were males, 35% aged 31-50 years, and 64.1% had type 2 diabetes mellitus of participants. Age between 31-50 years was negatively associated with compliance (β = -1.06, p = 0.002), while age between 51-65 years is positively associated ((β= 1.00, p = 0.003). Being male was negatively associated with compliance (β= -0.72, p = 0.001). Different fasting behaviors like non-fasting one day or more (β = -2.92, p < 0.001) and fasting all month (β = -2.90, p < 0.001), significantly affect compliance scores with negative associations indicating lower compliance during fasting periods. Various HbA1c levels were significant predictors of compliance. Higher HbA1c levels were associated with increased compliance. Conclusions: The study reveals that age, gender, fasting behaviors and HbA1c levels significantly impact medication compliance among patients with diabetes mellitus during Ramadan

Ceiba pentandra ethyl acetate extract improves doxorubicin antitumor outcomes against chemically induced liver cancer in rat model: a study supported by UHPLC-Q-TOF-MS/MS identification of the bioactive phytomolecules

Hepatocellular carcinoma (HCC) is a prevalent cancer worldwide. Late-stage detection, ineffective treatments, and tumor recurrence contribute to the low survival rate of the HCC. Conventional chemotherapeutic drugs, like doxorubicin (DOX), are associated with severe side effects, limited effectiveness, and tumor resistance. To improve therapeutic outcomes and minimize these drawbacks, combination therapy with natural drugs is being researched. Herein, we assessed the antitumor efficacy of Ceiba pentandra ethyl acetate extract alone and in combination with DOX against diethylnitrosamine (DENA)-induced HCC in rats. Our in vivo study significantly revealed improvement in the liver-function biochemical markers (ALT, AST, GGT, and ALP), the tumor marker (AFP-L3), and the histopathological features of the treated groups. A UHPLC-Q-TOF-MS/MS analysis of the Ceiba pentandra ethyl acetate extract enabled the identification of fifty phytomolecules. Among these are the dietary flavonoids known to have anticancer, anti-inflammatory, and antioxidant qualities: protocatechuic acid, procyanidin B2, epicatechin, rutin, quercitrin, quercetin, kaempferol, naringenin, and apigenin. Our findings highlight C. pentandra as an affordable source of phytochemicals with possible chemosensitizing effects, which could be an intriguing candidate for the development of liver cancer therapy, particularly in combination with chemotherapeutic drugs