Showing papers by "Jordan University of Science and Technology published in 2021"

Acceptance and attitudes toward COVID-19 vaccines: A cross-sectional study from Jordan.

Abstract: Vaccines are effective interventions that can reduce the high burden of diseases globally. However, public vaccine hesitancy is a pressing problem for public health authorities. With the availability of COVID-19 vaccines, little information is available on the public acceptability and attitudes towards the COVID-19 vaccines in Jordan. This study aimed to investigate the acceptability of COVID-19 vaccines and its predictors in addition to the attitudes towards these vaccines among public in Jordan. An online, cross-sectional, and self-administered questionnaire was instrumentalized to survey adult participants from Jordan on the acceptability of COVID-19 vaccines. Logistic regression analysis was used to find the predictors of COVID-19 vaccines' acceptability. A total of 3,100 participants completed the survey. The public acceptability of COVID-19 vaccines was fairly low (37.4%) in Jordan. Males (OR = 2.488, 95CI% = 1.834-3.375, p < .001) and those who took the seasonal influenza vaccine (OR = 2.036, 95CI% = 1.306-3.174, p = .002) were more likely to accept COVID-19 vaccines. Similarly, participants who believed that vaccines are generally safe (OR = 9.258, 95CI% = 6.020-14.237, p < .001) and those who were willing to pay for vaccines (OR = 19.223, 95CI% = 13.665-27.042, p < .001), once available, were more likely to accept the COVID-19 vaccines. However, those above 35 years old (OR = 0.376, 95CI% = 0.233-0.607, p < .001) and employed participants (OR = 0.542, 95CI% = 0.405-0.725, p < .001) were less likely to accept the COVID-19 vaccines. Moreover, participants who believed that there was a conspiracy behind COVID-19 (OR = 0.502, 95CI% = 0.356-0.709, p < .001) and those who do not trust any source of information on COVID-19 vaccines (OR = 0.271, 95CI% = 0.183-0.400, p < .001), were less likely to have acceptance towards them. The most trusted sources of information on COVID-19 vaccines were healthcare providers. Systematic interventions are required by public health authorities to reduce the levels of vaccines' hesitancy and improve their acceptance. We believe these results and specifically the low rate of acceptability is alarming to Jordanian health authorities and should stir further studies on the root causes and the need of awareness campaigns. These interventions should take the form of reviving the trust in national health authorities and structured awareness campaigns that offer transparent information about the safety and efficacy of the vaccines and the technology that was utilized in their production.

Blockchain-Enhanced Data Sharing With Traceable and Direct Revocation in IIoT

Abstract: The industrial Internet of Things (IIoT) supports recent developments in data management and information services, as well as services for smart factories. Nowadays, many mature IIoT cloud platforms are available to serve smart factories. However, due to the semicredibility nature of the IIoT cloud platforms, how to achieve secure storage, access control, information update and deletion for smart factory data, as well as the tracking and revocation of malicious users has become an urgent problem. To solve these problems, in this article, a blockchain-enhanced security access control scheme that supports traceability and revocability has been proposed in IIoT for smart factories. The blockchain first performs unified identity authentication, and stores all public keys, user attribute sets, and revocation list. The system administrator then generates system parameters and issues private keys to users. The domain administrator is responsible for formulating domain security and privacy-protection policies, and performing encryption operations. If the attributes meet the access policies and the user's ID is not in the revocation list, they can obtain the intermediate decryption parameters from the edge/cloud servers. Malicious users can be tracked and revoked during all stages if needed, which ensures the system security under the Decisional Bilinear Diffie–Hellman (DBDH) assumption and can resist multiple attacks. The evaluation has shown that the size of the public/private keys is smaller compared to other schemes, and the overhead time is less for public key generation, data encryption, and data decryption stages.

COVID-19 Vaccination Acceptance and Its Associated Factors Among a Middle Eastern Population.

Abstract: Background: The Coronavirus disease 2019 (COVID-19) pandemic is a major threat to public health and has had a significant impact on all aspects of life. An effective vaccine is the most anticipated resolution. This study aims to evaluate Jordanian intent to be vaccinated. Methods: This is a cross-sectional web-based study. Sample characteristics were gathered, and the participants were classified according to the degree of COVID-19 risk based on the categories of the Centers for Disease Control and Prevention (CDC). Participants' KAP toward COVID-19 were assessed, and two scores were calculated: knowledge score and practice score. The association between different sample characteristics and these scores was identified using binary logistical regressions. The participants' vaccination intention was evaluated and multinomial logistic regression was applied to identify the predictors of vaccination intention. Finally, the reasons behind the participants' vaccination refusal/hesitation were determined and categorized into different groups. Results: 1,144 participants were enrolled in the study (females = 66.5%). 30.4% of the participants were at high risk of COVID-19 complications, and 27.5% were at medium risk. Overall, participants' knowledge of COVID-19 symptoms, transmission methods, protective measures, and availability of cure were high (median of knowledge score = 17 out of 21). High protective practices were followed by many participants (median of practice score = 7 out of 10). 3.7% of participants were infected, and 6.4% suspected they were infected with the COVID-19 virus. 36.8% of the participants answered "No" when asked if they would take the vaccine once it becomes available, and 26.4% answered, "Not sure." The main reasons for the participants' vaccination refusal or hesitancy were concerns regarding the use of vaccines and a lack of trust in them. Conclusion: Participants reported high refusal/hesitancy. Several barriers were identified, and efforts should be intensified to overcome these barriers.

Federated Learning in Vehicular Networks: Opportunities and Solutions

Abstract: The emerging advances in personal devices and privacy concerns have given the rise to the concept of Federated Learning. Federated Learning proves its effectiveness and privacy preservation through collaborative local training and updating a shared machine learning model while protecting the individual data-sets. This article investigates a new type of vehicular network concept, namely a Federated Vehicular Network (FVN), which can be viewed as a robust distributed vehicular network. Compared to traditional vehicular networks, an FVN has centralized components and utilizes both DSRC and mmWave communication to achieve more scalable and stable performance. As a result, FVN can be used to support data-/computation-intensive applications such as distributed machine learning and Federated Learning. The article first outlines the enabling technologies of FVN. Then, we briefly discuss the high-level architecture of FVN and explain why such an architecture is adequate for Federated Learning. In addition, we use auxiliary Blockchain-based systems to facilitate transactions and mitigate malicious behaviors. Next, we discuss in detail one key component of FVN, a federated vehicular cloud (FVC), that is used for sharing data and models in FVN. In particular, we focus on the routing inside FVCs and present our solutions and preliminary evaluation results. Finally, we point out open problems and future research directions of this disruptive technology.

Pharmacists' readiness to deal with the coronavirus pandemic: Assessing awareness and perception of roles.

Abstract: Background The 2019 Coronavirus infection (COVID-19) caused by a novel strain of coronavirus was detected in China in December 2019, and declared a public health emergency of international concern on January 30, 2020. Community pharmacists have an important role in supporting the local health emergency preparedness and response arrangements. Objectives To investigate pharmacists and pharmacy students’ awareness and source of their information regard the management of the coronavirus pandemic, and their perspective of their role during this emergent situation. Methods This descriptive cross-sectional online survey study was conducted in Jordan during the COVID-19 outbreak (from 15 to 30 March 2020). A validated online questionnaire addressing participants' current awareness about epidemics/pandemics and COVID-19, source of information and their perspectives of their role. Data were analyzed using statistical package for social science (SPSS). Results Participants (n = 726) had a mean age of 26.9 (8.0) years with 71.9% females. Pharmacy students made 35.3% of the sample while the rest were pharmacists. Only 54.3% of participants believed that they got enough education about epidemics/pandemics, and 94.6% of them follow on the latest coronavirus updates on treatments, and that is mainly from the media (59.5%) followed by the World Health Organization reports (58.7%) and then the published researches (57%). Awareness score (out of 20) of pharmacists (n = 470) was significantly higher (p Conclusion The majority of pharmacists and pharmacy students reported that they have a major role in the management of epidemics/pandemics through the community pharmacies but the majority follow on the latest coronavirus updates from the media. This fact rings bills considering the numerous conflicting messages publicized during the pandemic through the media.

Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions.

Impact of COVID-19 on mental health and quality of life: Is there any effect? A cross-sectional study of the MENA region.

Abstract: The COVID-19 pandemic is a major health crisis that has changed the life of millions globally. The purpose of this study was to assess the effect of the pandemic on mental health and quality of life among the general population in the Middle East and North Africa (MENA) region. A total of 6142 adults from eighteen countries within the MENA region completed an online questionnaire between May and June 2020. Psychological impact was assessed using the Impact of Event Scale-Revised (IES-R) and the social and family support impact was assessed with questions from the Perceived Support Scale (PSS). The IES-R mean score was 29.3 (SD = 14.8), corresponding to mild stressful impact with 30.9% reporting severe psychological impact. Most participants (45%-62%) felt horrified, apprehensive, or helpless due to COVID-19. Furthermore, over 40% reported increased stress from work and financial matters. Higher IES-R scores were found among females, participants aged 26-35 years, those with lower educational level, and participants residing in the North Africa region (p<0.005). About 42% reported receiving increased support from family members, 40.5% were paying more attention to their mental health, and over 40% reported spending more time resting since the pandemic started. The COVID-19 pandemic was associated with mild psychological impact while it also encouraged some positive impact on family support and mental health awareness among adults in the MENA region. Clinical interventions targeted towards vulnerable groups such as females and younger adults are needed.

Bioconvection analysis for Sutterby nanofluid over an axially stretched cylinder with melting heat transfer and variable thermal features: A Marangoni and solutal model

Abstract: This research communicates the thermal assessment of Sutterby nanofluid containing the gyrotactic microorganisms with solutal and Marangoni boundaries. The applications of melting phenomenon and thermal conductivity are also considered. The flow is confined by a stretched cylinder. The prospective of Brownian motion and thermophoresis diffusions are also taken account via Buongiorno nanofluid model. The problem is formulated with help of governing relations and equations which are altered into dimensionless form via appropriate variables. The numerical scheme based on shooting scheme is employed to access the solution. A comparative analysis is performed to verify the approximated solution. The observations reveal that the velocity profile enhanced with the Marangoni number while a declining velocity profile has been observed with Sutterby nanofluid parameter and Darcy resistance parameter. The nanofluid temperature get rise with thermal conductivity parameter and thermal Biot number. An arising profile of nanofluid concentration is observed for concentration conductivity parameter and buoyancy ratio parameter.

Remote E-exams during Covid-19 pandemic: A cross-sectional study of students’ preferences and academic dishonesty in faculties of medical sciences

Abstract: Background 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. Objectives 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. Materials and methods 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. Results Among 730 students, approximately only one third preferred remote E-exams. This was significantly (P Conclusion 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.

COVID-19 and dental clinical practice: Students and clinical staff perceptions of health risks and educational impact.

Abstract: Purpose/objectives Due to the nature of the profession, dental healthcare workers are exposed to infectious diseases such as coronavirus disease 2019 (COVID-19), and the severity of the pandemic presents challenges to dental education institutions worldwide. This study investigated dental students and clinical staff perceptions of health risks and impacts on clinical competence of working in teaching clinics during the COVID-19 outbreak. Methods A 39-item survey composed of closed and open questions was sent to students and clinical staff of a prominent Australasian dental school. Questions focused on students and clinical staff perceived impact of COVID-19 on their health, clinical safety and dental education. Results The majority of staff and students perceived their health to be at risk and this increased their stress and impacted clinical performance, particularly for students. The production of aerosols and violation of cross-infection protocols by some students were the main perceived contributors to COVID-19 cross-infection in teaching clinics. Both students and staff considered the closure of teaching clinics would cause extreme impacts on students' clinical competence; however, online case-based discussions and tutorials were suggested as potential alternative teaching methods that could be adopted during that period. Conclusion(s) The challenges of the COVID-19 pandemic also bring opportunities for dental education development; mainly in terms of infection prevention and control improvement, preparedness to respond to future contagious diseases, and exploring the benefits of online learning in dentistry.

Association of Death Anxiety with Spiritual Well-Being and Religious Coping in Older Adults During the COVID-19 Pandemic.

Abstract: This descriptive study aimed to examine the association of death anxiety with religious coping and spiritual well-being among 248 community-dwelling older adults during the COVID-19 pandemic. The brief Arab religious coping scale, the Arabic version of the spiritual well-being Scale, and the Arabic Scale of death anxiety were used to measure religious coping, spiritual well-being, and death anxiety, respectively. The majority of the participating older adults were found to have low levels of religious coping and spiritual well-being and high levels of death anxiety. Further, in comparison to male older adults, female older adults were found to have higher levels of religious coping and lower levels of death anxiety. Moreover, in comparison to widowed older adults, married older adults were found to have higher levels of death anxiety. After controlling for sociodemographic characteristics, religious coping, and spiritual well-being were found to be significant predictors of death anxiety in older adults.

Sex-based differences in severity and mortality in COVID-19.

Abstract: The current coronavirus disease (COVID-19) pandemic caused by novel severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has a male bias in severity and mortality. This is consistent with previous coronavirus pandemics such as SARS-CoV and MERS-CoV, and viral infections in general. Here, we discuss the sex-disaggregated epidemiological data for COVID-19 and highlight underlying differences that may explain the sexual dimorphism to help inform risk stratification strategies and therapeutic options.

Cosmetic, Biomedical and Pharmaceutical Applications of Fish Gelatin/Hydrolysates

Abstract: There are several reviews that separately cover different aspects of fish gelatin including its preparation, characteristics, modifications, and applications. Its packaging application in food industry is extensively covered but other applications are not covered or covered alongside with those of collagen. This review is comprehensive, specific to fish gelatin/hydrolysate and cites recent research. It covers cosmetic applications, intrinsic activities, and biomedical applications in wound dressing and wound healing, gene therapy, tissue engineering, implants, and bone substitutes. It also covers its pharmaceutical applications including manufacturing of capsules, coating of microparticles/oils, coating of tablets, stabilization of emulsions and drug delivery (microspheres, nanospheres, scaffolds, microneedles, and hydrogels). The main outcomes are that fish gelatin is immunologically safe, protects from the possibility of transmission of bovine spongiform encephalopathy and foot and mouth diseases, has an economic and environmental benefits, and may be suitable for those that practice religious-based food restrictions, i.e., people of Muslim, Jewish and Hindu faiths. It has unique rheological properties, making it more suitable for certain applications than mammalian gelatins. It can be easily modified to enhance its mechanical properties. However, extensive research is still needed to characterize gelatin hydrolysates, elucidate the Structure Activity Relationship (SAR), and formulate them into dosage forms. Additionally, expansion into cosmetic applications and drug delivery is needed.

Predictors of Depression and Anxiety Among Senior High School Students During COVID-19 Pandemic: The Context of Home Quarantine and Online Education.

Abstract: This study aimed to examine the prevalence and predictors of depression and anxiety among senior high school students in Jordan during the COVID-19 pandemic The study used an anonymous online survey that targeted senior high school students in Jordan Almost two thirds of students reported depressive symptoms and anxiety Father's level of education, mothers' level of education, perceived difficulties in online education, gender, and age were significant predictors of depression, while father's level of education, difficulties in online education, gender, and age were significant predictors of anxiety (p < 05) Among those identified as having depression, 307% were male and 507% were female The prevalence of anxiety among students was high, and the prevalence of anxiety in females (469%) is greater than males (276%) School health nurses and mental health counselors at schools need to emphasize the mental health and psychosocial support needs for senior high school students

Fake Reviews Detection: A Survey

Abstract: In e-commerce, user reviews can play a significant role in determining the revenue of an organisation. Online users rely on reviews before making decisions about any product and service. As such, the credibility of online reviews is crucial for businesses and can directly affect companies’ reputation and profitability. That is why some businesses are paying spammers to post fake reviews. These fake reviews exploit consumer purchasing decisions. Consequently, the techniques for detecting fake reviews have extensively been explored in the past twelve years. However, there still lacks a survey that can analyse and summarise the existing approaches. To bridge up the issue, this survey paper details the task of fake review detection, summing up the existing datasets and their collection methods. It analyses the existing feature extraction techniques. It also summarises and analyses the existing techniques critically to identify gaps based on two groups: traditional statistical machine learning and deep learning methods. Further, we conduct a benchmark study to investigate the performance of different neural network models and transformers that have not been used for fake review detection yet. The experimental results on two benchmark datasets show that RoBERTa performs about 7% better than the state-of-the-art methods in a mixed domain for the deception dataset with the highest accuracy of 91.2%, which can be used as a baseline for future studies. Finally, we highlight the current gaps in this research area and the possible future directions.

Exopolysaccharides as Antimicrobial Agents: Mechanism and Spectrum of Activity.

Abstract: Exopolysaccharides (EPSs) are metabolites synthesized and excreted by a variety of microorganisms, including lactic acid bacteria (LAB). EPS serve several biological functions such as interactions between bacteria and their environments, protection against hostile conditions including dehydration, the alleviation of the action of toxic compounds (bile salts, hydrolyzing enzymes, lysozyme, gastric, and pancreatic enzymes, metal ions, antibiotics), and stresses (changing pH, osmolarity), and evasion of the immune response and phage attack. Bacterial EPSs are considered valuable by the food, pharmaceutical, and nutraceutical industries, owing to their health-promoting benefits and rheological impacts. Numerous studies have reported the unusual antimicrobial activities of various EPS against a wide variety of pathogenic microbes (bacteria, virus, and fungi). This review aims to provide a comprehensive examination of the in vitro and in vivo antimicrobial activities of different EPSs, mainly against foodborne bacterial, fungal, and viral pathogens. The mechanism of EPS action against these pathogens as well as the methods used to measure antimicrobial activities are critically reviewed.

Fear of COVID-19 and stigmatization towards infected people among Jordanian people.

Abstract: AIM: This study aims to explore the prevalence rates of stigma and fear among people in Jordan during COVID-19 pandemic and to assess socio-demographic and personal factors contributing to the prevalence rates of fear and stigma among people in Jordan during COVID-19 pandemic. METHOD: Cross sectional descriptive design was utilized to attain the study aim. An anonymous online survey targeting people of Jordan was used and distributed to adults in Arabic language. The survey included a previously validated fear scale. Stigma was measured using developed instrument by authors. RESULTS: the prevalence of fear among study participants was 52%. In addition, the prevalence of stigma toward infected people and their contact was 64%. The predictors of stigma toward infected people with COVID-19 and their contact were income, living area, and downloaded application to trace COVID-19 cases. Moreover, the predictors of fear were income living area and downloaded application to trace COVID-19 cases (P≤ .001). CONCLUSION: More than 50% of the respondents were afraid from COVID-19 and 64 % had stigma toward infected people and their contact during the COVID-19 pandemic. The present study highlights the need for an intervention that provides psychological support to citizens during the pandemic.

Neurological manifestations and complications of coronavirus disease 2019 (COVID-19): a systematic review and meta-analysis.

Abstract: The spectrum of neurological involvement in COVID-19 is not thoroughly understood. To the best of our knowledge, no systematic review with meta-analysis and a sub-group comparison between severe and non-severe cases has been published. The aim of this study is to assess the frequency of neurological manifestations and complications, identify the neurodiagnostic findings, and compare these aspects between severe and non-severe COVID-19 cases. A systematic search of PubMed, Scopus, EBSCO, Web of Science, and Google Scholar databases was conducted for studies published between the 1st of January 2020 and 22nd of April 2020. In addition, we scanned the bibliography of included studies to identify other potentially eligible studies. The criteria for eligibility included studies published in English language (or translated to English), those involving patients with COVID-19 of all age groups, and reporting neurological findings. Data were extracted from eligible studies. Meta-analyses were conducted using comprehensive meta-analysis software. Random-effects model was used to calculate the pooled percentages and means with their 95% confidence intervals (CIs). Sensitivity analysis was performed to assess the effect of individual studies on the summary estimate. A subgroup analysis was conducted according to severity. The main outcomes of the study were to identify the frequency and nature of neurological manifestations and complications, and the neuro-diagnostic findings in COVID-19 patients. 44 articles were included with a pooled sample size of 13,480 patients. The mean age was 50.3 years and 53% were males. The most common neurological manifestations were: Myalgia (22.2, 95% CI, 17.2 to 28.1%), taste impairment (19.6, 95% CI, 3.8 to 60.1%), smell impairment (18.3, 95% CI, 15.4 to 76.2%), headache (12.1, 95% CI, 9.1 to 15.8%), dizziness (11.3, 95% CI, 8.5 to 15.0%), and encephalopathy (9.4, 95% CI, 2.8 to 26.6%). Nearly 2.5% (95% CI, 1 to 6.1%) of patients had acute cerebrovascular diseases (CVD). Myalgia, elevated CK and LDH, and acute CVD were significantly more common in severe cases. Moreover, 20 case reports were assessed qualitatively, and their data presented separately. Neurological involvement is common in COVID-19 patients. Early recognition and vigilance of such involvement might impact their overall outcomes.

A Benchmark-Suite of real-World constrained multi-objective optimization problems and some baseline results

Abstract: Generally, Synthetic Benchmark Problems (SBPs) are utilized to assess the performance of metaheuristics. However, these SBPs may include various unrealistic properties. As a consequence, performance assessment may lead to underestimation or overestimation. To address this issue, few benchmark suites containing real-world problems have been proposed for all kinds of metaheuristics except for Constrained Multi-objective Metaheuristics (CMOMs). To fill this gap, we develop a benchmark suite of Real-world Constrained Multi-objective Optimization Problems (RWCMOPs) for performance assessment of CMOMs. This benchmark suite includes 50 problems collected from various streams of research. We also present the baseline results of this benchmark suite by using state-of-the-art algorithms. Besides, for comparative analysis, a ranking scheme is also proposed.

Reported COVID-19 vaccines side effects among Jordanian population: a cross sectional study.

Abstract: Concerns about the safety and side effects of coronavirus SARS CoV2 vaccines have been raised among many communities worldwide. The aim of this study was to describe the side effects reported by vaccinated individuals in Jordan. A cross-sectional survey was used to recruit responses from participants who were vaccinated with either one dose or both doses of any of the administered vaccines in Jordan (AstraZeneca, Pfizer, Sinopharm). A total of 1,086 participants were enrolled in the study. Most of participants have not been infected with SARS CoV2 before receiving the vaccine (77.2%). Larger proportion of the study population received Pfizer vaccine (40.6%) followed by the AstraZeneca vaccine (33.0%), and Sinopharm vaccine (26.4%). Side effects after receiving the first dose of the vaccine were reported by most participants (89.9%) and included pain at the injection site (78.4%), fatigue (51.8%), myalgia (37.6%), headache (33.1%), and chills (32.3%). To a lesser extent, there were gastrointestinal side effects such as nausea (15.1%), loss of appetite (9.4%), and diarrhea (6.4%). More side effects were significantly associated with AstraZeneca vaccine (P < .001). Only one case for each of second dose of Pfizer and Sinopharm vaccines reported that their side effects required hospitalization. In this study, we found that people in Jordan experienced more side effects with AstraZeneca vaccine followed by Pfizer vaccine and the least one is Sinopharm vaccine. Our study showed that these side effects are not severe and should not be an obstacle against the successful control of the pandemic in Jordan.

Double stratified analysis for bioconvection radiative flow of Sisko nanofluid with generalized heat/mass fluxes

Abstract: With growing development in nano-technology and thermal engineering, nano-materials has intended a great interest of researchers in current decade due to their multidisciplinary significances in renewable energy systems, heating processes, industrial cooling circuits, hybrid-powered motors, solar systems, nanoelectronic, sensing and imaging, coating integrity, drug delivery , nuclear cooling systems etc. The study of nanofluids in presence of external thermal sources like thermal radiation, magnetic force, activation energy and heat source/sink is more effective to improve the heat and mass transportation mechanism. Following to such motivations in mind, current research concern with the bioconvection flow of Sisko nanofluid confined by a stretched surface subject to the bioconvection phenomenon. The applications of porous space and inertial forces are analyzed by employing the Darcy-Forchheimer relations. The modified Cattaneo-Christov relations are utilized to modify the heat and mass equations. The analysis is performed in presence of heat source/sink, activation energy and thermal radiation. The primarily cause and objective of this analysis to suggest more effective and generalized non-Newtonian nanofluid model containing the gyrotactic microorganisms. The developed system of equations are solved numerically by using the bvp4c shooting scheme by using MATLAB software. It is noticed that velocity profile increases with Sisko fluid parameter while it diminishes with local inertia coefficient and bioconvection Rayleigh number. An improve nanofluid temperature is observed with temperature ratio constant and Biot number. A lower nanofluid concentration is resulted due to higher values of Cattaneo-Christov mass flux constant and mixed convection parameter.

Bioconvection flow in accelerated couple stress nanoparticles with activation energy: bio-fuel applications.

Abstract: On the account of significance of bioconvection in biotechnology and several biological systems, valuable contributions have been performed by scientists in current decade. In current framework, a theoretical bioconvection model is constituted to examine the analyzed the thermally developed magnetized couple stress nanoparticles flow by involving narrative flow characteristics namely activation energy, chemical reaction and radiation features. The accelerated flow is organized on the periodically porous stretched configuration. The heat performances are evaluated via famous Buongiorno’s model which successfully reflects the important features of thermophoretic and Brownian motion. The composed fluid model is based on the governing equations of momentum, energy, nanoparticles concentration and motile microorganisms. The dimensionless problem has been solved analytically via homotopic procedure where the convergence of results is carefully examined. The interesting graphical description for the distribution of velocity, heat transfer of nanoparticles, concentration pattern and gyrotactic microorganism significance are presented with relevant physical significance. The variation in wall shear stress is also graphically underlined which shows an interesting periodic oscillation near the flow domain. The numerical interpretation for examining the heat mass and motile density transfer rate is presented in tubular form.

Comparing supervised and semi-supervised Machine Learning Models on Diagnosing Breast Cancer

Abstract: Background Breast cancer disease is the most common cancer in US women and the second cause of cancer death among women. Objectives To compare and evaluate the performance and accuracy of the key supervised and semi-supervised machine learning algorithms for breast cancer prediction. Materials and methods 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. Results 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% Conclusion 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.