Emergence of coronavirus disease 2019 (COVID-19) forced the worldwide higher educational institutes to adopt distance learning mode. Further, remote electronic exams (E−exams) were considered as mode of assessment. Objectives: This cross-sectional study evaluated the students' experience of remote E-exams during the COVID-19 pandemic among Medical Sciences students in Jordan. Materials and Methods: A survey of 29 questions was prepared on Google forms and distributed among students at Faculties of Medical Sciences (Medicine, Dentistry, Pharmacy, Nursing and Applied Medical Sciences) at Jordan University of Science and Technology. The questions include students' demographics, stress experience, and factors contributing to stress as well as behavioral changes related to remote E-exams. Responses were analyzed using descriptive, cross tabulation and Chi-square tests. Results: Among 1019 respondents, 32% reported more stress with remote E-exams. This was associated with academic major and gender. Among students with more stress during remote E-exams, the exam duration, mode of questions navigation and technical problems (exam platform and internet connectivity) appeared as the main factors related to stress in 78%, 76% and >60%, respectively. Other factors include concern regarding the teaching methods, exam environment and students' dishonesty. Remote E-exams had negative impact on students' dietary habits (increase consumption of caffeine and high energy drinks, high sugar food, fast food), sleep (reduction in sleeping hours, more consumption of insomnia medications), physical activity (less exercises) and smoking habits (increase). Conclusion: Results suggested a negative impact of E-exams on students within Medical Faculties. Robust exam platform and remote mock E-exams are recommended to reduce students' potential stress. A stress-free environment is very essential to encourage students to adopt remote E-exams, particularly if the pandemic will take longer. Various awareness programs about students' habits related to dietary, sleep quality, physical activity and smoking are highly valuable for students’ health benefits. This is of particular importance since the current students at Faculties of Medical Sciences are the future health care providers.

Since the emergence of coronavirus disease 2019 (Covid-19), distance education has been extensively implemented in all educational institutes and remote electronic exams (E-exams) have been adopted as a primary mode of assessment. This cross-sectional study aimed to evaluate the experience of students at faculties of Medicine, Dentistry, Pharmacy, Nursing and Applied Medical Sciences at Jordan University of Science and Technology regarding remote E-exams preferences and academic dishonesty during the pandemic. The survey composed of 16 questions, prepared using Google forms and distributed through students' E-learning platforms. The survey explored factors affecting students' preference for remote E-exams, methods for course assessment/evaluation, factors related to students’ exam dishonesty/misconduct during remote E-exams and measures that can be considered to reduce this behavior. Data were analyzed using descriptive, cross tabulation and Chi-square tests. Among 730 students, approximately only one third preferred remote E-exams. This was significantly (P < 0.05) associated with academic major, efforts/time for remote E-exam preparation, questions appropriateness with study material, and academic achievements (students Grade Point Average (GPA), curriculum objectives). Combining both exams and quizzes was the most preferred method of assessment (30%), while submission of reports or short written assignments were the least preferred ones. Exam dishonesty/misconduct appears as one of the major challenges with remote E-exams. The main measures considered by students to reduce exam dishonesty included substituting the exam with other forms of assessment, using different exam forms, the use of online proctoring solutions and considering compulsory pass/fail grades. Results suggested less preference of remote E-exams among students at medical faculties. Findings from this study are highly valuable to plan for academic strategies to overcome difficulties and challenges of remote E-exams. These might include improvement for the distance teaching methodologies, rearrangement of assessment options, modification of the academic curriculum to fit the current situation, and adopting certain measures to prevent exam dishonesty and maintain academic integrity.

Breast cancer disease is the most common cancer in US women and the second cause of cancer death among women. To compare and evaluate the performance and accuracy of the key supervised and semi-supervised machine learning algorithms for breast cancer prediction. We have used nine machine learning classification algorithms for supervised (SL) and semi-supervised learning (SSL): 1) Logistic regression; 2) Gaussian Naive Bayes; 3) Linear Support vector machine; 4) RBF Support vector machine; 5) Decision Tree; 6) Random Forest; 7) Xgboost; 8) Gradient Boosting; 9) KNN. The Wisconsin Diagnosis Cancer dataset was used to train and test these models. To ensure the robustness of the model, we have applied K-fold cross-validation and optimized hyperparameters. We have evaluated and compared the models using accuracy, precision, recall, F1-score, and ROC curves. The results of all models are inspiring using both SL and SSL. The SSL has high accuracy (90%–98%) with just half of the training data. The KNN model for the SL and logistic regression for the SSL achieved the highest accuracy of 98% The accuracies of SSL algorithms are very close to the SL algorithms. The accuracies of all models are in the range of 91–98%. SSL is a promising and competitive approach to solve the problem. Using a small sample of labeled and low computational power, the SSL is fully capable of replacing SL algorithms in diagnosing tumor type.

Virtual “online” teaching has been adopted by most universities around the world during the COVID-19 outbreak. This study aims to investigate the factors that might affect students’ preference for virtual learning. Since a second wave of such pandemic is expected to occur, professors and teaching assistants may want to be prepared and aware to create an effective virtual learning environment for students.

Hypertension (HTN) is a common comorbidity among diabetic patients. Studies reported that HTN prevalence in patients with diabetes mellitus (DM) depends on many risk factors related to the disease (the type and duration of DM), patients (age, sex, race/ethnicity, BMI), and medical history (glycemic control, renal problems). Best to our knowledge, limited evidence is available in this regard among Jordanian population. This retrospective cross-sectional study aimed to determine the prevalence of HTN among patients with DM in Jordan and factors that might be associated with the concurrence of both diseases. A cross-sectional study was conducted to determine HTN prevalence and risk factors among diabetic outpatients in Jordan. Patients were asked about their sociodemographic information and medical history. A descriptive analysis was used to determine HTN prevalence and a fit bivariate logistic regression model was used to identify the significant risk factors of HTN in patients with type 2 DM (T2DM). HTN was found to be concurrently occurring in approximately 80% of T2DM patients. This was found to increase with age. In addition, dyslipidemia, gout disease, ischemic heart disease, renal impairment, or a family history of HTN were found to be associated with the concurrence of HTN among T2DM patients. Findings from this study highlight the need for proper monitoring of DM patients to reduce the co-occurrence of HTN. Specific attention should be directed to control the patients' glycemic and lipid profiles as well as the cardiac and renal health using non-pharmacological and pharmacological measures. This is of particular importance in T2DM patients at old age and with family history of HTN, to reduce patients’ deterioration. Results from this study will also be informative for the development of public health strategies to increase the awareness of the general population regarding T2DM and HTN since both diseases are very common among Jordanian population.