This study was conducted to investigate the possible relationship between students' use of technology and their achievements in physiology courses at five health colleges of the University of Dammam. This study was conducted on 231 students studying physiology during their 2nd year at one of five health colleges (Medicine, Dental, Clinical Pharmacy, Applied Medical Sciences, and Nursing). An online survey was sent to the students regarding their use of technology and the devices they use. The Pearson correlation coefficient and descriptive statistics were implemented to study the frequency of, and relationship between, technology and learning achievement in physiology courses. This study observed a significant relationship between students' use of technology and their achievements in health colleges. The study also demonstrated that the most-used devices are laptops (50%) and phones (42%) followed by tablets (7%) and desktop computers (0.5%). This paper reports on the results of the survey, documenting what was revealed regarding how technology is used among students at the health colleges, as well as the important benefits on their achievements during physiology courses. Technology usage might produce comparatively more significant increases in academic achievement than would non-usage. Further research is warranted to examine its effects.

Glucose is the primary source of energy for cells, which are the building blocks of life. It is given to the body by insulin that carries out the metabolic tasks that keep people alive. Glucose level imbalance is a sign of diabetes mellitus (DM), a common type of chronic disease. It leads to long-term complications, such as blindness, kidney failure, and heart disease, having a negative impact on one's quality of life. In Saudi Arabia, a ten-fold increase in diabetic cases has been documented within the last three years. DM is broadly categorized as Type 1 Diabetes (T1DM), Type 2 Diabetes (T2DM), and Pre-diabetes. The diagnosis of the correct type is sometimes ambiguous to medical professionals causing difficulties in managing the illness progression. Intensive efforts have been made to predict T2DM. However, there is a lack of studies focusing on accurately identifying T1DM and Pre-diabetes. Therefore, this study aims to utilize Machine Learning (ML) to distinguish and predict the three types of diabetes based on a Saudi Arabian hospital dataset to control their progression. Four different experiments have been conducted to achieve the highest results, where several algorithms were used, including Support Vector Machine (SVM), Random Forest (RF), K-Nearest Neighbor (K-NN), Decision Tree (DT), Bagging, and Stacking. In experiments 2, 3, and 4, the Synthetic Minority Oversampling Technique (SMOTE) was applied to balance the dataset. The empirical results demonstrated promising results of the novel Stacking model that combined Bagging K-NN, Bagging DT, and K-NN, with a K-NN meta-classifier attaining an accuracy, weighted recall, weighted precision, and cohen's kappa score of 94.48%, 94.48%, 94.70%, and 0.9172, respectively. Five principal features were identified to significantly affect the model accuracy using the permutation feature importance, namely Education, AntiDiab, Insulin, Nutrition, and Sex.

With a concomitant increase in immune-related diseases such as allergic diseases, Type 1 diabetes mellitus, rheumatoid arthritis, multiple sclerosis, psoriasis, inflammatory bowel disease and other immune-related responses such as immunodeficiency, various infectious, diseases, vaccines, and malignancies, it has become very important to have a well-balanced and properly functioning immune system for the maintenance of human health. Recent scientific research has strongly suggested propolis as one of the most promising immunomodulation agents. This review describes recent findings with respect to propolis and its ingredients that show potential in this respect and evaluate their potential mechanisms. The author believes that propolis or/and its ingredients alone and in combination could be promising in manipulating the immune response and inducing immunomodulation. Further exploratory studies are needed to support large clinical trials toward further development of propolis.

Aluminum is the most abundant metal that can get admission to the human through several means that include our food, drinking water, cans, drugs, and deodorants, causing neurodegenerative diseases such as Alzheimer’s disease (AD). The present study aims to evaluate the role of quercetin nanoemulsion (QCNE) in attenuating neuronal dysfunction in aluminum chloride (AlCl₃)-induced experimental AD. All animals were classified into six groups including negative control group (I): received a vehicle; QC group: received intraperitoneal (IP) injection of QC; Alzheimer’s group: received AlCl₃ orally; treated group (I): received AlCl₃ orally and IP injection of QC; treated group (II): received AlCl₃ orally and QC orally; and treated group (III): received AlCl₃ orally and IP injection of QCNE. At the end of the experimental period (30 days), the brain was used to study biochemical parameters (measurement of neurotransmitters (serotonin, dopamine, and norepinephrine), oxidant/antioxidant parameters (reduced glutathione, malondialdehyde, superoxide dismutase, and advanced oxidation protein product), and inflammatory markers (adiponectin, interleukin 1β, and plasma tumor necrosis factor-alpha)), while another part was for brain immune-histochemical analysis (study cyclooxygenases (COX-1 and COX-2)). Results showed that the mean value of oxidative stress markers was significantly increased in the AD group as well as the inflammatory biomarkers and all the study neurotransmitters, whereas these parameters were attenuated in treated groups, especially those that received QCNE. The immunohistochemistry findings confirm our results. Both approaches (QC and QCNE) succeeded in retracting the negative impact of AlCl₃. Meanwhile, the effect of QCNE is more potent in mitigating the impact mediated by AlCl₃ in treated animals. In conclusion, the treatment mainly by QCNE has huge potential in protecting against AlCl3-induced neuronal dysfunction, as shown in our results by the elevation of brain antioxidant/anti-inflammatory activities and neurotransmitter levels as well as mending of the histopathological changes in animal models.

Diabetic patients have increased fracture risk. The pathogenesis underlying the status of bone alterations in diabetes mellitus is not completely understood but is multifactorial. The major deficits appear to be related to a deficit in mineralized surface area, a decrement in the rate of mineral apposition, deceased osteoid surface, depressed osteoblast activity, and decreased numbers of osteoclasts due to abnormal insulin signaling pathway. Other prominent features of diabetes mellitus are an increased urinary excretion of calcium and magnesium, accumulation of advanced glycation end products, and oxidative stress leading to sweet bones (altered bone’s strength, metabolism, and structure). Every diabetic patient should be assessed for risk factors for fractures and osteoporosis. The pathogenesis of the bone alterations in diabetes mellitus as well as their molecular mechanisms needs further study.

The aim of this study is to assess the knowledge, attitudes, practices and risk factors influencing diabetic foot ulcers among diabetes patients attending a diabetic clinic in a Saudi hospital. In this cross-sectional study, a random sample of 229 participants was selected from the diabetic clinic of the outpatient department of King Fahd Hospital of the University of Dammam during January to March 2015. A pre-tested structured questionnaire was administered to the diabetes patients to obtain information regarding the outcome variables. The results showed that diabetic foot ulcers were observed among 26% of diabetic patients. Concerning knowledge of the diabetic foot, the majority of participants had good education and favourable attitudes towards diabetic foot care. Interestingly, the results demonstrated that despite these characteristics, a high percentage of the participants ignored very important information and instructions before buying new shoes. All diabetic patients with diabetes mellitus should be educated regarding diabetic foot complications and the characteristic specifications of diabetic shoes. However, levels of knowledge, attitudes and practices should be improved. This improvement could be achieved by an awareness programme for the early detection and care of diabetic foot problems in KSA.