An Interactive Scholarly Collaborative Network Based on Academic Relationships and Research Collaborations

In this era of digital transformation, when the amount of scholarly literature is rapidly growing, hundreds of papers are published online daily with regard to different fields, especially in relation to academic subjects. Therefore, it difficult to find an expert/author to collaborate with from a specific research area. This is thought to be one of the most challenging activities in academia, and few people have considered authors’ multi-factors as an enhanced method to find potential collaborators or to identify the expert among them; consequently, this research aims to propose a novel model to improve the process of recommending authors. This is based on the authors’ similarity measurements by extracting their explicit and implicit topics of interest from their academic literature. The proposed model mainly consists of three factors: author-selected keywords, the extraction of a topic’s distribution from their publications, and their publication-based statistics. Furthermore, an enhanced approach for identifying expert authors by extracting evidence of expertise has been proposed based on the topic-modeling principle. Subsequently, an interactive network has been constructed that represents the predicted authors’ collaborative relationship, including the top-k potential collaborators for each individual. Three experiments have been conducted on the collected data; they demonstrated that the most influential factor for accurately recommending a collaborator was the topic’s distribution, which had an accuracy rate of 88.4%. Future work could involve building a heterogeneous co-collaboration network that includes both the authors with their affiliations and computing their similarities. In addition, the recommendations would be improved if potential and real collaborations were combined in a single network

Mechanical Stability of Self-Adhesive/Ion-Releasing Resin Composites

The purpose of this study was to assess the effects of water storage on the surface microhardness (VHN) and fracture toughness (K1C) of two self-adhesive restorative materials compared to traditional resin composite and resin-modified glass ionomer cement (RMGIC) restorative materials. Methods: Two self-adhesive materials (Activa and Vertise Flow), a nonflowable composite (Filtek Z250), and an RMGIC (Fuji II) were evaluated. Hardness measurements (n = 12) were recorded at three time intervals: (i) one-hour post-irradiation; (ii) after one day of storage in water at 37 °C; and (iii) after 90 days of storage in water at 37 °C. Fracture toughness (K1C) measurements (n = 12) were conducted after one day of storage in water at 37 °C and 90 days of storage in water at 37 °C. ANOVA and Tukey post hoc tests were used for statistical analysis. Results: Baseline VHN data were 38.2–58.3, decreasing significantly to 28.8–55.6 following 90 days of water storage. The Filtek Z250 had the highest VHN before and after storage, while the Activa had the lowest. KIC values varied between 0.98–1.32 MPa·m0.5. The highest value was for the Filtek Z250 while the Fuji II showed the lowest value (after both 1 and 90 days of storage in water). However, KIC values decreased significantly after storage, except for the Fuji II. Conclusion: Self-adhesive/ion-releasing resin composites were negatively affected by water storage. Material reinforcements are possible future areas to explore

Community Knowledge about Autism Spectrum Disorder in the Kingdom of Saudi Arabia

Objectives: To explore the knowledge of the general community in Saudi Arabia about autism spectrum disorder. Method: A cross-sectional study was conducted for the period between June and September 2021 in Saudi Arabia using an online questionnaire tool. The questionnaire tool was developed based on a literature review. The questionnaire tool consists of 34 items that assess knowledge about autism spectrum disorder in terms of its etiology, autistic patient features, autistic children’s abilities and needs, and autistic adults’ abilities and needs. The total score for each subscale was used to define the level of knowledge of it. Correct answers were given a score of one, and the total score for each subscale was used to describe the level of knowledge of it. Logistic regression was used to identify predictors of good knowledge about autism spectrum disorder (defined as a total score equal or above the mean score of the study participants). Results: This study enlisted the participation of 500 people. The participants’ overall understanding of autism spectrum disorder was moderate, with a mean score of 20.6 (SD: 5.6) out of 34, or 60.6%. The participants’ knowledge levels ranged from 32.2% to 77.5%. The items about the abilities and needs of adolescents and young people with autism had the highest degree of knowledge (77.5%). The items about autism’s causes had the lowest level of expertise (32.2%). When compared to others, females, those with a master’s degree, and those working in the healthcare field had a higher likelihood of knowing more about the autism spectrum condition. (p ≤ 0.05). Conclusion: Knowledge about autism spectrum disorder in Saudi Arabia is moderate. Social media channels and healthcare centers should be used to conduct educational campaigns for parents. The goal of this educational campaign should be to improve parents’ ability to recognize the causes of autism

Effect of the severity of SARS-CoV-2 on pregnancy and delivery: A narrative review

Background: Pregnant women with the novel coronavirus disease (COVID-19) are more likely than non-pregnant women to develop severe COVID-19 complications. In addition, COVID-19 is linked to unfavorable pregnancy outcomes. Due to the lack of effective COVID-19 treatment, it is critical to assess geographic differences and trends in current clinical care and the effect of COVID-19 on pregnant women. This review aims to evaluate maternal and neonatal outcomes in COVID-19 pregnancies. We searched the Medline database for research papers from January 2019 to December 31, 2021. Eleven studies of systematic, meta-analysis, review, and cohort designs were included with searched keywords {Pregnancy AND COVID [MeSH Terms]}. This study summarizes the maternal characteristics, vertical Transmission, maternal and neonatal outcomes, the rate of cesarean section, comorbidities, mechanical ventilation, ICU admission rate, mode of delivery, type of anesthesia, the average hospital length of stay (HLOS), the extracorporeal membrane oxygenation (ECMO), preeclampsia, pregnancy-induced hypertension, chest x‐ray and CT scan findings, treatments, and outcomes over time

Teledentistry-Knowledge, Practice, and Attitudes of Dental Practitioners in Saudi Arabia: A Nationwide Web-Based Survey

The present survey assessed the knowledge, attitudes, and practice of teledentistry (TD) among dental practitioners in Saudi Arabia. This questionnaire-based cross-sectional study was conducted with dental interns and practicing dentists in Saudi Arabia. An online questionnaire was sent to all potential respondents. Questions related to knowledge, practice, attitudes, and training regarding TD were presented. A total of 603 (227 dental interns, 376 practicing dentists) completed the questionnaire. Generally, the participants revealed poor knowledge and practice of TD, with only 38% having heard about TD and only one-quarter of the sample (23.2%) reporting practicing TD at their current workplace. However, most of the participants expressed positive attitudes and a willingness to practice TD in the future. Specialists and those in practice for >5 years showed significantly better knowledge and practice of TD than general dentists and those with lesser clinical experience (p > 0.01). While only one-fifth of the participants (20.2%) reported having attended a workshop/lecture about TD, the majority (69.7%) felt that they needed training on TD. The results revealed poor knowledge, practice, and training with regard to TD among practicing dentists in Saudi Arabia. However, the positive attitude expressed by most of the participants towards practicing TD in the future is an encouraging sign for dental educators and planners of oral health care. Continuous education through periodic workshops and training courses on TD is crucial to improve dentists’ knowledge, practice, and attitudes towards TD. Integration of TD topics into undergraduate/postgraduate curricula is highly recommended. Special attention should be directed to training general dental practitioners and junior dentists

Triple band frequency tunable polarization insensitive metamaterial absorber for WLAN and 5G applications

A triple band metamaterial absorber (MMA) has been demonstrated in this paper that is developed on an FR4 substrate targeting WLAN and 5G frequencies. The resonating patch contains three modified concentric copper rings having overall unit cell dimensions of 0.16λ0 × 0.16λ0 × 0.0128λ0, where the wavelength, λ0 is for 2.4 GHz. The MMA exhibits 99.3%, 95.68%, and 99.5% peak absorption at 2.4, 3.5, and 5.85 GHz, respectively. Length variation of inwardly extended metallic stubs attached to the innermost ring provides frequency tuning flexibility for peak absorption within 5.67 GHz–5.98 GHz. The absorption process of the MMA is analyzed through the distribution of surface current. The MMA exhibits incident and polarization angle insensitive behaviour up to 60° for both TE and TM modes with near zero polarization conversion ratio. The resonance characteristics are justified through equivalent circuit modelling with validation by Advanced Design software (ADS). The measured absorption indicates a close resemblance with the simulation. Moreover, a good effective medium ratio of 6.25 shows the compactness of MMA. Due to its compact structure, incident, and polarization angle insensitivity, and near unity absorption at application-specific frequencies, this perfect MMA can be suitable for WLAN and 5G applications, especially for microwave shielding and sensing

Fabrication, assessment, and optimization of alendronate sodium nanoemulsion-based injectable in-situ gel formulation for management of osteoporosis

AbstractLow bone mass, degeneration of bone tissue, and disruption of bone microarchitecture are all symptoms of the disease osteoporosis, which can decrease bone strength and increase the risk of fractures. The main objective of the current study was to use a phospholipid-based phase separation in-situ gel (PPSG) in combination with an alendronate sodium nanoemulsion (ALS-NE) to help prevent bone resorption in rats. The effect of factors such as concentrations of the ALS aqueous solution, surfactant Plurol Oleique CC 497, and Maisine CC oil on nanoemulsion characteristics such as stability index and globular size was investigated using an l-optimal coordinate exchange statistical design. Injectable PPSG with the best nanoemulsion formulation was tested for viscosity, gel strength, water absorption, and in-vitro ALS release. ALS retention in the rats’ muscles was measured after 30 days. The droplet size and stability index of the optimal nanoemulsion were 90 ± 2.0 nm and 85 ± 1.9%, respectively. When mixed with water, the optimal ALS-NE–loaded PPSG became viscous and achieved 36 seconds of gel strength, which was adequate for an injectable in-situ formulation. In comparison with the ALS solution–loaded in-situ gel, the newly created optimal ALS-NE–loaded PPSG produced the sustained and regulated release of ALS; hence, a higher percentage of ALS remained in rats’ muscles after 30 days. PPSG that has been loaded with an ALS-NE may therefore be a more auspicious, productive, and effective platform for osteoporosis treatment than conventional oral forms

Coinfections with bacteria, fungi, and respiratory viruses in patients with sars-cov-2: A systematic review and meta-analysis

Background: Coinfection with bacteria, fungi, and respiratory viruses in SARS-CoV-2 is of particular importance due to the possibility of increased morbidity and mortality. In this meta-analysis, we calculated the prevalence of such coinfections. Methods: Electronic databases were searched from 1 December 2019 to 31 March 2021. Effect sizes of prevalence were pooled with 95% confidence intervals (CIs). To minimize heterogeneity, we performed sub-group analyses. Results: Of the 6189 papers that were identified, 72 articles were included in the systematic review (40 case series and 32 cohort studies) and 68 articles (38 case series and 30 cohort studies) were included in the meta-analysis. Of the 31,953 SARS-CoV-2 patients included in the meta-analysis, the overall pooled proportion who had a laboratory-confirmed bacterial infection was 15.9% (95% CI 13.6–18.2, n = 1940, 49 studies, I2 = 99%, p \u3c 0.00001), while 3.7% (95% CI 2.6–4.8, n = 177, 16 studies, I2 = 93%, p \u3c 0.00001) had fungal infections and 6.6% (95% CI 5.5–7.6, n = 737, 44 studies, I2 = 96%, p \u3c 0.00001) had other respiratory viruses. SARS-CoV-2 patients in the ICU had higher co-infections compared to ICU and non-ICU patients as follows: bacterial (22.2%, 95% CI 16.1–28.4, I2 = 88% versus 14.8%, 95% CI 12.4–17.3, I2 = 99%), and fungal (9.6%, 95% CI 6.8–12.4, I2 = 74% versus 2.7%, 95% CI 0.0–3.8, I2 = 95%); however, there was an identical other respiratory viral co-infection proportion between all SARS-CoV-2 patients [(ICU and non-ICU) and the ICU only] (6.6%, 95% CI 0.0–11.3, I2 = 58% versus 6.6%, 95% CI 5.5–7.7, I2 = 96%). Funnel plots for possible publication bias for the pooled effect sizes of the prevalence of coinfections was asymmetrical on visual inspection, and Egger’s tests confirmed asymmetry (p values \u3c 0.05). Conclusion: Bacterial co-infection is relatively high in hospitalized patients with SARS-CoV-2, with little evidence of S. aureus playing a major role. Knowledge of the prevalence and type of co-infections in SARS-CoV-2 patients may have diagnostic and management implications