Enhancing the Knowledge of Cervical Cancer Screening among Female Nursing Students: An Interventional Educational Program

Background: Cervical cancer is a growing health risk facing women worldwide with the human papillomavirus (HPV) as the primary underlying cause. Pap smear is a simple screening test that can detect early changes in cervical cells, which might develop into cancer cells. Raising awareness of cervical cancer prevention has a significant impact on decreasing the burden of the disease. The aim of the study is to assess female nursing students' knowledge on early detection and screening of cervical cancer, and to determine the effectiveness of an educational program. Methods: A quasi-experimental research design (one group for pre- and post-tests) was utilized with a convenience sample of 130 female nursing students in one of the nursing colleges in Saudi Arabia. The study’s educational intervention included information about anatomy of genital tract and the importance of regular check-ups. The pre- and post-tests were applied to identify changes after intervention measures. Results: The mean age of the participants were 21.32 years (SD: 1.34). The findings revealed a significant improvement of post-test students’ knowledge in all items related to risk factors, signs and symptoms, occurrence, identification of HPV as causative agent, vaccination against HPV, and finally Pap smear for early detection and screening of cervical cancer. Conclusion: The study results support implementing educational intervention to improve nursing students' knowledge and awareness about cervical cancer prevention. Furthermore, it is imperative that cervical cancer awareness education modules should be developed and integrated within the nursing curriculum. Further studies with large sample size are recommended to increase generalization of the results.  Key words: cervical cancer, education program, primary prevention, nursing students, Saudi Arabi

Unleashing the Potential of TikTok: Exploring the Power of Mobile in Enhancing English Speaking Skills

The swift advancement of social media programs has facilitated their incorporation into language teaching. This study sought to examine the impact of the TikTok application on improving English language speaking abilities and learner independence in a cohort of 15 female English language students at the University of Jeddah, Khulais branch. A qualitative research methodology was employed to ascertain the students' perceptions regarding the efficacy of utilizing the TikTok application for enhancing their English language proficiency. This study utilized data collection and interviewing approaches to get information from a sample of pupils. An online survey was conducted utilizing a mixed method approach, which included both closed- and open-ended questions. The results demonstrated a beneficial effect of using the application for educational purposes on students' speaking abilities. Moreover, most participants indicated that their vocabulary range expanded and their pronunciation improved as a result of engaging with TikTok video content. Furthermore, it was observed that the application played a role in enhancing self-assurance in English communication

Understanding Factors Contributing to Nurses’ Intention to Care for COVID-19 Patients Using the Theory of Planned Behavior

Background: Globally, the nursing community has lost several colleagues during the Coronavirus Disease 2019 (COVID-19) battle. One of the negative consequences of the disease is the pressure on healthcare services and demands that exceed the system's capacity to provide sufficient resources. Similarly, the experiences of care providers might trigger emotional and physical stress, which could affect the healthcare system's readiness to manage infectious outbreaks. This study was aimed at investigating nurses’ intention to care for COVID-19 patients and determining factors contributing to their intentions to care at the Ministry of Health facilities in Saudi Arabia. Methods: This descriptive cross-sectional survey design was used to recruit 336 nurses working in Al Madinah Ministry of Health hospitals where COVID-19 patients received medical and nursing care. The instrument was created following the framework of the Theory of Planned Behavior. Results: Nurses’ intention to care for COVID-19 patients was significantly correlated with their education level, nationality, knowledge about COVID-19, and nurses’ exposure during their earlier education for emerging infectious diseases. Factors related to social pressure from friends, colleagues, and workplace administration support needed improvement.  Examining the model fits through multiple regression revealed that the combination of six subscales – “attitude, subjective norms, perceived behavioral control, behavioral beliefs, normative beliefs, and control beliefs” – accounted for a significant (89%) variability of intention to care, R2 = 0.892, adjusted R2 = 0.793, F (6-329) = 201, p ≤ 0.000. Conclusion: Providing nursing education is the main predictor of higher nurses' intention to care for COVID-19 patients, it is imperative that nursing education courses should continue investing in enhancing nurses' capabilities in caring for COVID-19 patients

Understanding factors contributing to nurses’ intention to care for COVID-19 patients using the theory of planned behavior

Background: Globally, the nursing community has lost several colleagues during the Coronavirus Disease 2019 (COVID-19) battle. One of the negative consequences of the disease is the pressure on healthcare services and demands that exceed the system’s capacity to provide sufficient resources. Similarly, the experiences of care providers might trigger emotional and physical stress, which could affect the healthcare system’s readiness to manage infectious outbreaks. This study was aimed at investigating nurses’ intention to care for COVID-19 patients and determining factors contributing to their intentions to care at the Ministry of Health facilities in Saudi Arabia.Methods: This descriptive cross-sectional survey design was used to recruit 336 nurses working in Al Madinah Ministry of Health hospitals where COVID-19 patients received medical and nursing care. The instrument was created following the framework of the Theory of Planned Behavior.Results: Nurses’ intention to care for COVID-19 patients was significantly correlated with their education level, nationality, knowledge about COVID-19, and nurses’ exposure during their earlier education for emerging infectious diseases. Factors related to social pressure from friends, colleagues, and workplace administration support needed improvement. Examining the model fits through multiple regression revealed that the combination of six subscales – “attitude, subjective norms, perceived behavioral control, behavioral beliefs, normative beliefs, and control beliefs” – accounted for a significant (89%) variability of intention to care, R2 = 0.892, adjusted R2 = 0.793, F (6-329) = 201, p ≤ 0.000.Conclusion: Providing nursing education is the main predictor of higher nurses’ intention to care for COVID-19 patients, it is imperative that nursing education courses should continue investing in enhancing nurses’ capabilities in caring for COVID-19 patients

Wavelet Methods and Inverse Problems

Archaeological investigations are designed to acquire information without damaging the archaeological site. Magnetometry is one of the important techniques for producing a surface grid of readings, which can be used to infer underground features. The inversion of this data, to give a fitted model, is an inverse problem. This type of problem can be ill-posed or ill-conditioned, making the estimation of model parameters less stable or even impossible. More precisely, the relationship between archaeological data and parameters is expressed by a likelihood. It is not possible to use the standard regression estimate obtained through the likelihood, which means that no maximum likelihood estimate exists. Instead, various constraints can be added through a prior distribution with an estimate produced using the posterior distribution. Current approaches incorporate prior information describing smoothness, which is not always appropriate. The biggest challenge is that the reconstruction of an archaeological site as a single layer requires various physical features such as depth and extent to be assumed. By applying a smoothing prior in the analysis of stratigraphy data, however, these features are not easily estimated. Wavelet analysis has proved to be highly efficient at eliciting information from noisy data. Additionally, complicated signals can be explained by interpreting only a small number of wavelet coefficients. It is possible that a modelling approach, which attempts to describe an underlying function in terms of a multi-level wavelet representation will be an improvement on standard techniques. Further, a new method proposed uses an elastic-net based distribution as the prior. Two methods are used to solve the problem, one is based on one-stage estimation and the other is based on two stages. The one-stage considers two approaches a single prior for all wavelet resolution levels and a level-dependent prior, with separate priors at each resolution level. In a simulation study and a real data analysis, all these techniques are compared to several existing methods. It is shown that the methodology using a single prior provides good reconstruction, comparable even to several established wavelet methods that use mixture priors

Experiences and perspectives of adults on using opioids for pain management in the postoperative period : A scoping review protocol.

Funding The main reviewer (DA) is funded by Prince Sultan Military College of Health Sciences, Dhahran, Saudi Arabia and the Saudi Arabian Cultural Bureau in London, UK. This review will be part of DA’s PhD study at the University of Aberdeen.Peer reviewedPublisher PD

The Effect of E-Activities via Learning Management System (Blackboard) in Developing the Skills of Digital Storytelling and Learning Satisfaction among Female Students of Taibah University

The study aimed at measuring the effect of e-activities via learning management system Blackboard in the development of the skills of digital storytelling, and hence at measuring learning satisfaction with using it. The study employed quasi experimental design, and was conducted during the first semester of the academic year (1436- 1437 H); on a population consisted of (37) female students of College of Computer Science and Engineering, at Taibah University. The study sample was divided into two groups: control group consisted of (20) female students, and experimental one consisted of (17) female students. To achieve its goals the study constructed the following: a list of digital storytelling skills, e-activities about digital storytelling, observation card of digital storytelling skills and learning satisfaction scale, and all of them were prepared by the researchers. The results of the study showed that there were statistically significant differences between the mean scores of the control group and the experimental group in the skills of digital storytelling, in favour of the experimental group. The results also showed that there was a high level of learning satisfaction among the female students to be learned using e-activities via learning management system Blackboard

New approach for analysing dynamical processes on the surface of photospheric vortex tubes

The majority of studies on multi-scale vortex motions employ a two-dimensional geometry by using a variety of observational and numerical data. This approach limits the understanding the nature of physical processes responsible for vortex dynamics. Here we develop a new methodology to extract essential information from the boundary surface of vortex tubes. 3D high-resolution magnetoconvection MURaM numerical data has been used to analyse photospheric intergranular velocity vortices. The Lagrangian Averaged Vorticity Deviation (LAVD) technique was applied to define the centers of vortex structures and their boundary surfaces based on the advection of fluid elements. These surfaces were mapped onto a constructed envelope grid that allows the study of the key plasma parameters as functions of space and time. Quantities that help in understanding the dynamics of the plasma, e.g. Lorentz force, pressure force, plasma-$\beta$ were also determined. Our results suggest that, while density and pressure have a rather global behaviour, the other physical quantities undergo local changes, with their magnitude and orientation changing in space and time. At the surface, the mixing in the horizontal direction is not efficient, leading to appearance of localized regions with higher/colder temperatures. In addition, the analysis of the MHD Poynting flux confirms that the majority of the energy is directed in the horizontal direction. Our findings also indicate that the pressure and magnetic forces that drive the dynamics of the plasma on vortex surfaces are unbalanced and therefore the vortices do not rotate as a rigid body

Catalytic Pyrolysis of Municipal Solid Waste: Effects of Pyrolysis Parameters

Burning municipal solid waste (MSW) increases CO2, CH4, and SO2 emissions, leading to an increase in global warming, encouraging governments and researchers to search for alternatives. The pyrolysis process converts MSW to oil, gas, and char. This study investigated catalytic and noncatalytic pyrolysis of MSW to produce oil using MgO-based catalysts. The reaction temperature, catalyst loading, and catalyst support were evaluated. Magnesium oxide was supported on active carbon (AC) and Al2O3 to assess the role of support in MgO catalyst activity. The liquid yields varied from 30 to 54 wt% based on the experimental conditions. For the noncatalytic pyrolysis experiment, the highest liquid yield was 54 wt% at 500 °C. The results revealed that adding MgO, MgO/Al2O3, and MgO/AC declines the liquid yield and increases the gas yield. The catalysts exhibited significant deoxygenation activity, which enhances the quality of the pyrolysis oil and increases the heating value of the bio-oil. Of the catalysts that had high deoxygenation activity, MgO/AC had the highest relative yield. The loading of MgO/AC varied from 5 to 30 wt% of feed to the pyrolysis reactor. As the catalyst load increases, the liquid yield declines, while the gas and char yields increase. Copyright © 2021 by Authors, Published by BCREC Group. This is an open access article under the CC BY-SA License (https://creativecommons.org/licenses/by-sa/4.0).

First Case Report of Primary Testicular Diffuse Large B-Cell Lymphoma from the Western Region of Saudi Arabia

Primary testicular lymphoma (PTL) represents 1-2% of all types of non-Hodgkin lymphomas (NHLs) and 1-10% of testicular neoplasms. Up to the best of my knowledge, this is the first case of PTL of the diffuse large B-cell lymphoma (DLBCL) in a 60-year-old man presented with a painless mass in the left testis as revealed by physical examination in a tertiary care hospital in Al-Madinah Al-Munwarah in the western region of the Kingdom of Saudi Arabia (KSA). Radiological examination revealed a large well-defined heterogeneous predominantly hypo-echoic mass with increased vascularity in the upper portion of the testis. On the other hand, histopathological examination revealed a tumor involving the whole left testis, which was large (measuring 6 3.5  3.3 cm), solid and dark red with focal areas of hemorrhage and epididymal infiltration. Immunohistochemistry showed positivity of leucocyte common antigen (LCA), pan B-cell marker (CD20) and negativity of pan T-cell marker (CD3). Other immunohistochemical markers such as CD10, placental alkaline phosphatase (PLAP), cytokeratin, vimentin, desmin and S100 protein were also negative. However, there was a marked expression of Ki67 and Bcl2 markers. Accordingly, the diagnosis of DLBCL was established. The tumor was classified as stage I according to the Ann Arbor system. The case was treated by orchiectomy followed by prophylactic anthracycline-based chemotherapy and irradiation of the contralateral testis and central nervous system