Exploring the Potential of Phytogenic Materials for Bone Regeneration: A Narrative Review of Current Advances and Future Directions.

In dentistry, bone regeneration in areas following tooth loss, the removal of a tumor or cyst, and craniofacial surgery can be accomplished by using bone grafts. Many biocompatible materials have been employed for bone regeneration in dentistry; however, all these bone graft materials come with various drawbacks. Therefore, there is a growing demand for natural, cost-effective, and biocompatible plant-based bone grafts. This review explores the emerging field of phytogenic elements in bone restoration and their specific applications in dentistry. The review focuses on key phytogenic compounds, such as algae-based and plant-based bone substitutes, delineating their roles in bone regeneration in dental bone defects. It also highlights the existing challenges associated with phytogenic grafts, such as limited bioavailability and high-dose toxicity. This calls for increased research into compatible, affordable carriers and a broader spectrum of studies to determine the most effective phytogenic solutions in dental regenerative medicine.

A Novel Ensemble-Based Technique for the Preemptive Diagnosis of Rheumatoid Arthritis Disease in the Eastern Province of Saudi Arabia Using Clinical Data.

Rheumatoid arthritis (RA) is a chronic inflammatory disease caused by numerous genetic and environmental factors leading to musculoskeletal system pain. RA may damage other tissues and organs, causing complications that severely reduce patients' quality of life. According to the World Health Organization (WHO), over 1.71 billion individuals worldwide had musculoskeletal problems in 2021. Rheumatologists face challenges in the early detection of RA since its symptoms are similar to other illnesses, and there is no definitive test to diagnose the disease. Accordingly, it is preferable to profit from the power of computational intelligence techniques that can identify hidden patterns to diagnose RA early. Although multiple studies were conducted to diagnose RA early, they showed unsatisfactory performance, with the highest accuracy of 87.5% using imaging data. Yet, imaging data requires diagnostic tools that are challenging to collect and examine and are more costly. Recent studies indicated that neither a blood test nor a physical finding could early confirm the diagnosis. Therefore, this study proposes a novel ensemble technique for the preemptive prediction of RA and investigates the possibility of diagnosing the disease using clinical data before the symptoms appear. Two datasets were obtained from King Fahad University Hospital (KFUH), Dammam, Saudi Arabia, including 446 patients, with 251 positive cases of RA and 195 negative cases of RA. Two experiments were conducted where the former was developed without upsampling the dataset, and the latter was carried out using an upsampled dataset. Multiple machine learning (ML) algorithms were utilized to assemble the novel voting ensemble, including support vector machine (SVM), logistic regression (LR), and adaptive boosting (Adaboost). The results indicated that clinical laboratory tests fed to the proposed voting ensemble technique could accurately diagnose RA preemptively with an accuracy, recall, and precision of 94.03%, 96.00%, and 93.51%, respectively, with 30 clinical features when utilizing the original data and sequential forward feature selection (SFFS) technique. It is concluded that deploying the proposed model in local hospitals can contribute to introducing a method that aids medical specialists in preemptively diagnosing RA and stopping or delaying the course using clinical laboratory tests.

The role of telemedicine services in changing users' intentions for presenting to the emergency departments in Saudi Arabia.

Background: Emergency department (ED) overcrowding is described as one of the main issues in any hospital. In Saudi Arabia, the ministry of health applied new telemedicine technology to serve patients by using the mobile application, including the Sehha application and 937 medical call center. The main aim of this study is to determine the role of different telemedicine services in changing the intention users' intentions for visiting the emergency departments in Saudi Arabia. Methods: A cross-sectional study was conducted during August 2020 to May 2021 among 319 patients using two telemedicine services in Saudi Arabia, including the medical call center and Sehha smartphone application. The primary endpoint of this study was to determine the number of patients intended to visit ER before and after contacting one of the two telemedicine services and the frequency of people who changed their opinion to visit an ED. Results: This study analyzed the data from 319 patients who completed the survey provided by the Saudi Ministry of Health concerning information related to their health status and ED visits. Among patients that had the intention to visit the ED (N = 159), 53 of them did not go to EDs after using telemedicine services (p < 0.01). Regarding the medical call center and Sehha application, 9.6% and 24.4%, respectively, of the patients who used these telemedicine services changed their minds concerning visiting ED after taking the medical advice (p < 0.01). Conclusions: The implemented telemedicine services in Saudi Arabia, namely the Sehha application and medical call center, could reduce those intended to visit ED and consequently reduce the overload of EDs by providing medical advice to patients concerning their minor medical issues.

Rheumatologic Aspects of the COVID-19 Pandemic: A Practical Resource for Physicians in Kuwait and the Gulf region as Recommended by the Kuwait Association of Rheumatology.

The Kuwait Association of Rheumatology members met thrice in April 2020 to quickly address and support local practitioners treating rheumatic disease in Kuwait and the Gulf region during the coronavirus disease 2019 (COVID-19) pandemic. Because patients with rheumatic and musculoskeletal disease (RMD) may need treatment modifications during the COVID-19 pandemic, we voted online for the general guidance needed by local practitioners. In this review, we have addressed patients' vulnerability with rheumatic disease and issues associated with their optimum management. Our recommendations were based on the formulation of national/international guidelines and expert consensus among KAR members in the context of the Kuwaiti healthcare system for patients with RMD. The most recent reports from the World Health Organization, the Center for Disease Control, the National Institutes of Health-National Medical Library, and the COVID-19 educational website of the United Kingdom National Health Service have been incorporated. We discuss the management of RMD in various clinical scenarios: screening protocols in an infusion clinic, medication protocols for stable patients, and care for patients with suspected or confirmed COVID infection and whether they are stable, in a disease flare or newly diagnosed. Further, we outline the conditions for the hospital admission. This guidance is for the specialist and non-specialist readership and should be considered interim as the virus is relatively new, and we rely on the experience and necessity more than evidence collection. The guidance presented should be supplemented with recent scientific evidence wherever applicable.

Onsite Versus Remote Working: The Impact on Satisfaction, Productivity, and Performance of Medical Call Center Workers.

Job satisfaction is determined as the measure to know the individuals' feelings toward their work. The working conditions that can affect satisfaction and performance of the call center agents have received particular concern. This study aimed to determine the role of remote call center working on agents' satisfaction compared to onsite workers. A cross-section study was conducted between December 2020 and April 2021 that include 124 agents working in a governmental medical call center in Saudi Arabia. Each agent was receiving a questionnaire that investigates his/her satisfaction with the job nature, supervisor support, job autonomy, job productivity, and performance. Seventy-seven physicians working onsite were compared to forty-seven physicians remotely working in the medical call center. The mean age of the physicians included was 43.17 ± 8.4 years, and most of them were male (>70%), married (>85%), and family medicine specialists (>50%). The mean years of experience in the medical field of the physicians included was 16.87 ± 8.07 years, and the mean years of experience in the medical call center was 1.44 ± .97 years. Onsite agents were more satisfied concerning job nature, supervisor support, productivity, and performance compared to remote agents (70.82 vs 53.47%, 63.38 vs 55.05%, and 66.51 vs 56.03%, respectively). However, onsite agents were less satisfied regarding job autonomy than remote physicians (46.81 vs 53.19%, P-value = .128). Overall, general satisfaction was more seen in physicians working onsite as opposed to remote workers in the medical call center in Saudi Arabia (64.90 vs 54.25%, P-value < .01).

Structural, Optical and Electrical Properties of Cu0.6CoxZn0.4-xFe2O4 (x = 0.0, 0.1, 0.2, 0.3, 0.4) Soft Ferrites.

A series of cobalt-inserted copper zinc ferrites, Cu0.6CoxZn0.4-xFe2O4 (x = 0.0, 0.1, 0.2, 0.3, 0.4) having cubic spinel structure were prepared by the coprecipitation method. Various characterization techniques, including XRD, FTIR, UV-vis and I-V were used to investigate structural optical and electrical properties, respectively. The lattice constant was observed to be decreased as smaller ionic radii Co2+ (0.74 Å) replaced the higher ionic radii Zn2+ (0.82 Å). The presence of tetrahedral and octahedral bands was confirmed by FTIR spectra. Optical bandgap energy was determined in the range of 4.44-2.05 eV for x = 0.0 to 0.4 nanoferrites, respectively. DC electrical resistivity was measured and showed an increasing trend (5.42 × 108 to 6.48 × 108 Ω·cm) with the addition of cobalt contents as cobalt is more conductive than zinc. The range of DC electrical resistivity (108 ohm-cm) makes these nanomaterials potential candidates for telecommunication devices.

Predictors of students' academic achievements in allied health professions at King Saud University: a retrospective cohort study.

BACKGROUND: The admissions criteria for colleges of medicine and allied health professions include several cognitive predictors. Little is known of the admissions criteria for the allied health professions and their correlation with students' academic performance. This study investigates predictors for students' academic achievements at allied health colleges at King Saud University. DESIGN: Retrospective cohort study. SETTINGS: College of Applied Medical Sciences, College of Nursing, and Prince Sultan bin Abdulaziz College for Emergency Medical Services, Saudi Arabia. PARTICIPANTS: The sample comprised 1634 students. METHOD: The high school grade average (HSGA), aptitude test (APT) score, achievement test (ACT) score, and current grade point average (GPA) were retrieved. The data were analysed using Pearson's correlation coefficient and regression analysis. RESULTS: HSGA, ACT, and APT were significantly positively associated with students' academic performance in colleges for all allied health professions. Multivariate regression analysis showed that the most predictive variable for all allied healthcare professions was HSGA (ß = 0.347), followed by ACT (ß = 0.270) and APT (ß = 0.053) scores. The regression model indicated that the HSGA, APT, and ACT together predicted 26.5% of the variation in students' cumulative GPAs at the time of graduation. CONCLUSION: The admissions criteria for the allied health colleges at King Saud University predicted only 26.5% of the students' cumulative GPA at the time of graduation. Other noncognitive admission criteria should be taken into consideration to improve the prediction of students' academic potential.

Synthesis and Characterization of Functionalized Nanosilica for Zinc Ion Mitigation; Experimental and Computational Investigations.

Zinc is an essential trace metal and its concentration above 4ppm reduces the aesthetic value of water. This study explores the possibility of using functionalized nanohybrids as Zn(II) ion scavengers from aqueous solution. Functionalized nanohybrids were synthesized by the attachment of thiosemicarbazide to silica. The material was characterized by TGA, SEM, FTIR, EDX, and BET analysis, which revealed ligand bonding to silica. The functionalized silica was employed as Zn(II) ion extractant in batch experiments and removed about 94.5% of the Zn(II) ions at pH 7, near zero point charge (6.5) in 30 min. Kinetics investigations revealed that zinc adsorption follows an intra particle diffusion mechanism and first-order kinetics (K = 0.1020 min-1). The data were fitted to Freundlich, Dubinin-Radushkevich, and Langmuir models and useful ion exchange parameters were determined. The impact of co-existing ions on Zn(II) ion sequestration was also studied and it was found that the adsorbent can be used for selective removal of zinc with various ions in the matrix. Quantum mechanical investigations revealed that the Zn(II) ion adsorption on ZnBS1 is more favorable, having higher binding energy (BE) (-178.1 kcal/mol) and ∆H (-169.8), and making tridentate complex with the N and S sites of the chelating ligand. The negative ∆G and BE values suggest highly spontaneous Zn(II) adsorption on the modified silica even at low temperatures.

Effect of ZnO Nanoparticles Coating Layers on Top of ZnO Nanowires for Morphological, Optical, and Photovoltaic Properties of Dye-Sensitized Solar Cells.

This paper reports on the synthesis of ZnO nanowires (NWs), as well asthe compound nanostructures of nanoparticles (NPs) and nanowires (NWs+NPs) with different coating layers of NPs on the top of NWs and their integration in dye-sensitized solar cells (DSSCs). In compound nanostructures, NWs offer direct electrical pathways for fast electron transfer, and the NPs of ZnOdispread and fill the interstices between the NWs of ZnO, offering a huge surface area for enough dye anchoring and promoting light harvesting. A significant photocurrent density of 2.64 mA/cm2 and energy conversion efficiency of 1.43% was obtained with NWs-based DSSCs. The total solar-to-electric energy conversion efficiency of the NWs+a single layer of NPs was found to be 2.28%, with a short-circuit photocurrent density (JSC) of 3.02 mA/cm2, open-circuit voltage (VOC) of 0.74 V, and a fill factor (FF) of 0.76, which is 60% higher than that of NWs cells and over 165% higher than NWs+a triple layer of NPs-based DSSCs. The improved performance was obtained due to the increased specific surface area for higher dye anchoring and light harvesting of compound nanostructures with NWs+a single layer of NPs.