Search Results (8)

As digital infrastructure continues to expand, networks, web services, and Internet of Things (IoT) devices become increasingly vulnerable to distributed denial of service (DDoS) attacks. Remarkably, IoT devices have become attracted to DDoS attacks due to their common deployment and limited applied security measures. Therefore, attackers take advantage of the growing number of unsecured IoT devices to reflect massive traffic that overwhelms networks and disrupts necessary services, making protection of IoT devices against DDoS attacks a major concern for organizations and administrators. In this paper, the effectiveness of supervised machine learning (ML) classification and deep learning (DL) algorithms in detecting DDoS attacks on IoT networks was investigated by conducting an extensive analysis of network traffic dataset (legitimate and malicious). The performance of the models and data quality improved when emphasizing the impact of feature selection and data pre-processing approaches. Five machine learning models were evaluated by utilizing the Edge-IIoTset dataset: Random Forest (RF), Support Vector Machine (SVM), Long Short-Term Memory (LSTM), and K-Nearest Neighbors (KNN) with multiple K values, and Convolutional Neural Network (CNN). Findings revealed that the RF model outperformed other models by delivering optimal detection speed and remarkable performance across all evaluation metrics, while KNN (K = 7) emerged as the most efficient model in terms of training time. Full article

Background: Visual impairment can significantly impact an individual’s performance, productivity, and overall quality of life. Objectives: The objective of this paper is to report the prevalence, causes, and risk factors associated with visual impairment in Qbah, a rural community in the Qassim Province of Saudi Arabia. Methods: A descriptive cross-sectional study was conducted in Qbah, a rural community, with 587 subjects aged 6 to 80 years. Data were collected as part of a major campaign by Qassim University, and each participant underwent a comprehensive eye examination. Finally, the visual impairment was classified based on the International Classification of Diseases 11th revision, 2018 (ICD-11). Results: The overall prevalence of presenting visual impairment was 159 (27.1%). This included mild visual impairment 84 (14.37%), moderate visual impairment 65 (11.7%), severe visual impairment, and blindness 5 (0.90%). The main causes of visual impairment were uncorrected refractive errors (UREs), at 132 (83.0%), followed by amblyopia, at 14 (8.8%), and cataract, at 9 (5.7%). The prevalence of hyperopia, myopia, and astigmatism was 134 (22.8%), 174 (29.6%), and 13 (2.2%), respectively. Regression analysis revealed that the odds for visual impairment were 2.71 times higher in the elderly compared to the young participants. Women have 2.234 times higher odds of visual impairment compared to men, while the odds of visual impairment were 14.83 times higher in the participants with the URE compared to the emmetropic participants. Almost two-thirds of participants (65.8%) reported never having had an eye examination before. Conclusions: Visual impairment was common in the community, especially among older people and females, and URE was the main cause of visual impairment, followed by amblyopia and cataract. Considerable subjects reported never having had an eye examination before; this highlights the challenges in accessing healthcare in rural areas. These findings emphasize the importance of improving healthcare accessibility in rural regions. Full article

Recognizing pediatric eye health issues at an early stage, along with ensuring that parents are well informed, is crucial. This study measures parents’ knowledge and perspectives on pediatric ophthalmic disease. The study utilized a cross-sectional design, and participants included Saudi parents of children residing in Saudi Arabia. Data were collected using a pre-validated self-administered questionnaire with a scoring system. Sociodemographic characteristics and factors associated with knowledge/attitude were collected and analyzed. Initially, 425 respondents participated in this study. Excluding the participants whose work was related to healthcare and those with incomplete data yielded 370 responses on which the subsequent analyses were performed. The analysis revealed that only half of the parents recognized the need for annual eye examinations for children. Most of them showed gaps in knowledge regarding the frequency of routine eye exams and indicators of visual problems. Notably, parents with good/excellent knowledge were more proactive in their eye care practices, such as adherence to recommended eye examination schedules and accepting corrective measures like glasses for common conditions such as refractive errors and amblyopia. However, parental willingness to permit surgical interventions did not correlate significantly with their level of knowledge, signaling the influence of other factors. In conclusion, this study underscores the need for enhanced public health education to improve parental awareness of pediatric eye diseases in Saudi Arabia. Given the link between knowledge and proactive eye health practices, targeted interventions should distribute comprehensive, culturally sensitive information accessible to all demographics. Full article

Objectives: This study aims to assess COVID-19 vaccine acceptance, uptake, and hesitancy among parents and caregivers of children in Saudi Arabia during the initial rollout of pediatric COVID-19 vaccination. Methods: An electronic survey was used to collect data from participants who visited a COVID-19 vaccine center. The survey included demographic data, COVID-19 vaccine status among participants and their children, and reasons for vaccine acceptance or rejection. The Vaccine Hesitancy Scale (VHS) tool was also employed to assess vaccine hesitancy and attitudes toward the COVID-19 vaccine and routine childhood vaccination. Multivariate binary regression analysis was used to identify predictors of actual COVID-19 vaccine uptake among children. Results: Of the 873 respondents included in the analysis, 61.5% were parents and 38.5% were other caregivers. Of the participants, 96.9% had received the COVID-19 vaccine. Six hundred and ninety-four participants accepted the vaccine for their children, with the main reasons being an endorsement by the Saudi Ministry of Health (60%) and the importance of going back to school (55%). One hundred and seventy-nine participants would not vaccinate their children, with the most common reasons being fear of adverse effects (49%) and inadequate data about vaccine safety (48%). Factors such as age, COVID-19 vaccination status, self-rated family commitment level, attitudes toward routine children’s vaccines, and participants’ generalized anxiety disorder (GAD7) score did not significantly correlate with children’s COVID-19 vaccination status. Parents were less likely to vaccinate their children compared to other caregivers, and participants with a higher socioeconomic status were more likely to vaccinate their children. Conclusion: Vaccine acceptance and uptake were high during the initial pediatric COVID-19 vaccination rollout in Saudi Arabia. Still, the ongoing endorsement of the Ministry of Health and healthcare authorities should continue to advocate for better vaccine uptake in children. Full article

Introduction: Bariatric surgery is the most effective procedure for sustained weight loss and control of obesity-associated comorbidities among morbidly obese patients. Successful bariatric surgery depends on a multidisciplinary approach involving all healthcare workers, including the primary care physicians, from the referral of patients to long-term follow-up. The present study assessed the knowledge, attitude, and potential referral barriers of primary care physicians to bariatric surgery and associated sociodemographic factors. Materials and methods: The present analytical cross-sectional study was conducted among 280 randomly selected primary care physicians using a standard and validated data collection tool. We performed an independent t-test and one-way ANOVA to find the association between sociodemographic characteristics and knowledge, attitude, and referral barrier scores. Furthermore, multilinear regression analysis was executed to determine the association among knowledge, attitude, and barriers. Results: The current study found that 52.9%, 19.3%, and 59.3% had a low score in the knowledge, attitude, and barriers categories. The attitude scores were significantly associated with the education status (p = 0.005) and current position at primary health centers (p = 0.012), and the referral barriers score was significantly associated with the work experience duration (p = 0.004). We found a positive relationship between knowledge and attitude (regression coefficient (β) [95% CI]:0.389 [0.154 to 0.585], p = 0.001) and a negative relationship between knowledge and referral barriers (β [95% CI]: −0.291 [−0.127 to −0.058], p = 0.007). Conclusions: Our survey findings suggest that a lack of knowledge regarding bariatric surgery led to several concerns and referral barriers among the physicians. Therefore, the recommendation is to improve the primary care physicians’ knowledge through continuing medical education, symposium, and other suitable training methods with a special focus on obesity care in the curriculum. Furthermore, a mixed-method survey involving other provinces of the KSA is warranted to formulate the region-specific training needs. Full article

Background and Objectives: Empathy is an important attribute of a healthy doctor–patient relationship. Although multiple studies have assessed empathy in different countries, little is known about its levels among Saudi residents and its association with perceived stress. Objectives: To assess the levels of empathy and to identify if there is an association with stress in general and across the demographic and training characteristics of residents. Materials and Methods: A cross-sectional questionnaire-based study was carried out from December 2020 to March 2021 among residents training at a tertiary academic center in Riyadh, Saudi Arabia. Empathy and perceived stress were measured using the Jefferson Scale of Empathy (JSE) and the Perceived Stress Scale (PSS). Results: A total of 229 residents participated. The mean JSE score was 105.25 ± 15.35. The mean JSE scores were significantly higher among residents training in pediatrics (mean difference (MD) = 17.35, p < 0.001), family medicine (MD = 12.24, p = 0.007), and medical specialties (MD = 11.11, p = 0.012) when compared with surgical specialties and anesthesia. In addition, residents who worked 1–4 on-calls per month had a higher mean JSE score (MD = 11.23, p = 0.028) compared with those who worked 7 or more on-calls. Lastly, no correlation between empathy and perceived stress was detected in the whole sample (r = −0.007, p = 0.913); however, there was a correlation among residents training in medical specialties (r = −0.245, p = 0.025). Conclusion: Residents in our study had empathy levels comparable with Asian but lower than Western residents. We recommend qualitative studies that explore potential factors that might affect empathy among residents and studying the association between empathy and perceived stress among medical residents. Postgraduate curricula should incorporate interventions that foster a more empathetic doctor–patient relationship. Full article

Social media platforms such as Facebook, Instagram, and Twitter are an inevitable part of our daily lives. These social media platforms are effective tools for disseminating news, photos, and other types of information. In addition to the positives of the convenience of these platforms, they are often used for propagating malicious data or information. This misinformation may misguide users and even have dangerous impact on society’s culture, economics, and healthcare. The propagation of this enormous amount of misinformation is difficult to counter. Hence, the spread of misinformation related to the COVID-19 pandemic, and its treatment and vaccination may lead to severe challenges for each country’s frontline workers. Therefore, it is essential to build an effective machine-learning (ML) misinformation-detection model for identifying the misinformation regarding COVID-19. In this paper, we propose three effective misinformation detection models. The proposed models are long short-term memory (LSTM) networks, which is a special type of RNN; a multichannel convolutional neural network (MC-CNN); and k-nearest neighbors (KNN). Simulations were conducted to evaluate the performance of the proposed models in terms of various evaluation metrics. The proposed models obtained superior results to those from the literature. Full article

SARS-CoV-2 virus mutations might increase its virulence, and thus the severity and duration of the ongoing pandemic. Global drug discovery campaigns have successfully developed several vaccines to reduce the number of infections by the virus. However, finding a small molecule pharmaceutical that is effective in inhibiting SARS-CoV-2 remains a challenge. Natural products are the origin of many currently used pharmaceuticals and, for this reason, a library of in-house fungal extracts were screened to assess their potential to inhibit the main viral protease M^pro in vitro. The extract of Penicillium citrinum, TDPEF34, showed potential inhibition and was further analysed to identify potential M^pro inhibitors. Following bio-guided isolation, a series of benzodiazepine alkaloids cyclopenins with good-to-moderate activity against SARS-CoV-2 M^pro were identified. The mode of enzyme inhibition of these compounds was predicted by docking and molecular dynamic simulation. Compounds 1 (isolated as two conformers of S- and R-isomers), 2, and 4 were found to have promising in vitro inhibitory activity towards M^pro, with an IC₅₀ values range of 0.36–0.89 µM comparable to the positive control GC376. The in silico investigation revealed compounds to achieve stable binding with the enzyme active site through multiple H-bonding and hydrophobic interactions. Additionally, the isolated compounds showed very good drug-likeness and ADMET properties. Our findings could be utilized in further in vitro and in vivo investigations to produce anti-SARS-CoV-2 drug candidates. These findings also provide critical structural information that could be used in the future for designing potent M^pro inhibitors. Full article