eMIFS: A Normalized Hyperbolic Ransomware Deterrence Model Yielding Greater Accuracy and Overall Performance.

Early detection of ransomware attacks is critical for minimizing the potential damage caused by these malicious attacks. Feature selection plays a significant role in the development of an efficient and accurate ransomware early detection model. In this paper, we propose an enhanced Mutual Information Feature Selection (eMIFS) technique that incorporates a normalized hyperbolic function for ransomware early detection models. The normalized hyperbolic function is utilized to address the challenge of perceiving common characteristics among features, particularly when there are insufficient attack patterns contained in the dataset. The Term Frequency-Inverse Document Frequency (TF-IDF) was used to represent the features in numerical form, making it ready for the feature selection and modeling. By integrating the normalized hyperbolic function, we improve the estimation of redundancy coefficients and effectively adapt the MIFS technique for early ransomware detection, i.e., before encryption takes place. Our proposed method, eMIFS, involves evaluating candidate features individually using the hyperbolic tangent function (tanh), which provides a suitable representation of the features' relevance and redundancy. Our approach enhances the performance of existing MIFS techniques by considering the individual characteristics of features rather than relying solely on their collective properties. The experimental evaluation of the eMIFS method demonstrates its efficacy in detecting ransomware attacks at an early stage, providing a more robust and accurate ransomware detection model compared to traditional MIFS techniques. Moreover, our results indicate that the integration of the normalized hyperbolic function significantly improves the feature selection process and ultimately enhances ransomware early detection performance.

Salivary elemental signature of dental caries: a systematic review and meta-analysis of ionomics studies.

Trace- and macro-chemical elements are crucial for cellular physiological functioning, and their alterations in biological fluids might be associated with an underlying pathological state. Hence, this study aimed to examine and summarize the published literature concerning the application of salivary ionomics for caries diagnosis. An extensive search of studies was conducted using PubMed, EMBASE, Web of Science, and Scopus, without any language and year restriction for answering the following PECO question: "In subjects (i.e., children, adolescents, or adults) with good systematic health, are there any variations in the salivary concentrations of trace- or macro-elements between caries-free (CF) individuals and caries-active (CA) subjects?" A modified version of the QUADOMICS tool was used to assess the quality of the included studies. The Review Manager Version 5.4.1. was used for data analyses. The analysis of salivary chemical elements that significantly differed between CF and CA subjects was also performed. Thirty-four studies were included, involving 2299 CA and 1669 CF subjects, having an age range from 3 to 64 years in over 16 countries. The meta-analysis revealed a statistically significant difference (p < 0.05) in the salivary levels of calcium, phosphorus, chloride, magnesium, potassium, sodium, and zinc between CA and CF subjects, suggesting higher levels of calcium, phosphorus, potassium, and sodium in CF subjects while higher levels of chloride, magnesium, and zinc in CA patients. Half of the included studies (17/34) were considered high quality, while the remaining half were considered medium quality. Only zinc and chloride ions were found to be higher significantly and consistent in CF and CA subjects, respectively. Conflicting outcomes were observed for all other salivary chemical elements including aluminum, bromine, calcium, copper, fluoride, iron, potassium, magnesium, manganese, sodium, ammonia, nitrite, nitrate, phosphorus, lead, selenium, and sulfate ions.

Salivary Biomarkers and Temporomandibular Disorders: A Systematic Review conducted according to PRISMA guidelines and the Cochrane Handbook for Systematic Reviews of Interventions.

BACKGROUND: The present review aimed to investigate the association between salivary biomarkers and temporomandibular disorders (TMD). TMD is a multifactorial condition characterised by pain and dysfunction in the temporomandibular joint (TMJ) and surrounding structures. Salivary biomarkers have emerged as potential diagnostic tools due to their non-invasiveness and easy accessibility. However, the literature on salivary biomarkers in relation to TMD is limited and inconsistent. METHODS: Electronic databases of Pubmed, Embase, Web of Science, Scopus, Cochrane Library, PsychINFO, CINAHL and Medline were searched using specific search terms and Boolean operators. The search was limited to articles published in English that assessed salivary biomarkers in individuals diagnosed with TMD. Two reviewers independently screened the articles and extracted data. ROB-2 was used to assess the risk of bias. RESULTS: Eleven clinical papers met the inclusion criteria and were included in the review. The findings provided consistent evidence of a clear association between salivary biomarkers and TMD. Various biomarkers, including cortisol, IL-1, glutamate and several others, were assessed. Some studies reported higher levels of cortisol and IL-1 in TMD patients, indicating potential involvement in stress and inflammation. Glutamate levels were found to be elevated, suggesting a role in pain modulation. Other biomarkers also showed alterations in TMD patients compared to controls: CONCLUSION: The findings from the included studies suggest that salivary biomarkers may play a role in TMD pathophysiology. Though a definitive conclusion can be drawn regarding the specific salivary biomarkers and their association with TMD, the results must be interpreted with caution considering the heterogeneity of the biomarkers assessed. Further research with larger sample sizes, standardised methodology and rigorous study designs is needed to elucidate the role of salivary biomarkers in TMD.

A systematic review and meta-analysis of the impact of resveratrol on oral cancer: potential therapeutic implications.

The present study aimed to investigate the impact of resveratrol on oral neoplastic parameters through a systematic review and meta-analysis. Resveratrol, a naturally occurring polyphenol, has shown promising potential as a therapeutic agent in various cancer types, including oral neoplasms. Understanding the collective findings from existing studies can shed light on the efficacy and mechanisms of resveratrol in oral cancer management. The systematic review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A comprehensive search was performed to identify relevant studies from various databases, registers, websites, and citation searches. The inclusion criteria encompassed in-vivo studies investigating the impact of resveratrol on oral neoplastic parameters in animal models. After screening and assessment, a total of five eligible studies were included in the meta-analysis. The meta-analysis of the selected studies revealed that resveratrol treatment exhibited a potential impact on reducing oral neoplastic proliferation and promoting neoplastic apoptosis. The combined analysis showed a statistically significant decrease in neoplastic parameters with an overall effect size (ES) of 0.85 (95% CI: [0.74, 0.98]). Subgroup analyses were conducted to explore potential variations among different cellular types and exposure compounds, providing further insights into the efficacy of resveratrol in specific contexts. This systematic review and meta-analysis support the potential of resveratrol as a promising therapeutic agent in oral cancer management. The findings indicate that resveratrol may effectively modulate neoplastic proliferation and apoptosis in various cellular types within animal models of oral cancer. However, further well-controlled studies and clinical trials are warranted to validate these observations and elucidate the underlying mechanisms of resveratrol's actions. Resveratrol holds promise as a complementary therapeutic approach in the prevention and treatment of oral neoplastic conditions.

Clinical and radiographic outcomes of adjunctive photodynamic therapy for treating peri-implantitis among diabetics and cigarette smokers: a systematic review of randomized controlled trials.

Photodynamic therapy (PDT) has been suggested as an adjunctive therapeutic approach for peri-implantitis. This systematic review aimed to assess the clinical and radiographic outcomes of adjunctive PDT (aPDT) for the treatment of peri-implantitis among diabetics and cigarette smokers. Randomized controlled trials (RCTs), which assessed the clinical and radiographic outcomes of aPDT versus other intervention(s) and/or MD alone among diabetics and smokers with peri-implantitis, were considered eligible for the review. Meta-analysis was performed for calculating the standard mean difference (SMD) with a 95% confidence interval (CI). The methodological quality of the included studies was evaluated using the modified Jadad quality scale. The meta-analysis revealed no significant differences between the influence of aPDT and other intervention/MD alone on the peri-implant PI among diabetics at the final follow-up. However, statistically significant improvements in the peri-implant PD, BOP, and CBL were observed after the application of aPDT among diabetics. Similarly, no significant differences were found between the influence of aPDT and other interventions/MD alone on the peri-implant PD among smokers with peri-implant diseases at the final follow-up. However, statistically significant improvements in the peri-implant PI, BOP, and CBL were observed after the application of aPDT among smokers. Significant improvements in the peri-implant PD, BOP, and CBL among diabetics and the peri-implant PI, BOP, and CBL among smokers after the application of aPDT at the final follow-up. However, large-scale, well-designed, and long-term RCTs are recommended in this domain.

Temporal Data Correlation Providing Enhanced Dynamic Crypto-Ransomware Pre-Encryption Boundary Delineation.

Ransomware is a type of malware that employs encryption to target user files, rendering them inaccessible without a decryption key. To combat ransomware, researchers have developed early detection models that seek to identify threats before encryption takes place, often by monitoring the initial calls to cryptographic APIs. However, because encryption is a standard computational activity involved in processes, such as packing, unpacking, and polymorphism, the presence of cryptographic APIs does not necessarily indicate an imminent ransomware attack. Hence, relying solely on cryptographic APIs is insufficient for accurately determining a ransomware pre-encryption boundary. To this end, this paper is devoted to addressing this issue by proposing a Temporal Data Correlation method that associates cryptographic APIs with the I/O Request Packets (IRPs) based on the timestamp for pre-encryption boundary delineation. The process extracts the various features from the pre-encryption dataset for use in early detection model training. Several machine and deep learning classifiers are used to evaluate the accuracy of the proposed solution. Preliminary results show that this newly proposed approach can achieve higher detection accuracy compared to those reported elsewhere.

A Fusion-Assisted Multi-Stream Deep Learning and ESO-Controlled Newton-Raphson-Based Feature Selection Approach for Human Gait Recognition.

The performance of human gait recognition (HGR) is affected by the partial obstruction of the human body caused by the limited field of view in video surveillance. The traditional method required the bounding box to recognize human gait in the video sequences accurately; however, it is a challenging and time-consuming approach. Due to important applications, such as biometrics and video surveillance, HGR has improved performance over the last half-decade. Based on the literature, the challenging covariant factors that degrade gait recognition performance include walking while wearing a coat or carrying a bag. This paper proposed a new two-stream deep learning framework for human gait recognition. The first step proposed a contrast enhancement technique based on the local and global filters information fusion. The high-boost operation is finally applied to highlight the human region in a video frame. Data augmentation is performed in the second step to increase the dimension of the preprocessed dataset (CASIA-B). In the third step, two pre-trained deep learning models-MobilenetV2 and ShuffleNet-are fine-tuned and trained on the augmented dataset using deep transfer learning. Features are extracted from the global average pooling layer instead of the fully connected layer. In the fourth step, extracted features of both streams are fused using a serial-based approach and further refined in the fifth step by using an improved equilibrium state optimization-controlled Newton-Raphson (ESOcNR) selection method. The selected features are finally classified using machine learning algorithms for the final classification accuracy. The experimental process was conducted on 8 angles of the CASIA-B dataset and obtained an accuracy of 97.3, 98.6, 97.7, 96.5, 92.9, 93.7, 94.7, and 91.2%, respectively. Comparisons were conducted with state-of-the-art (SOTA) techniques, and showed improved accuracy and reduced computational time.

Periodontists' perceptions and attitudes toward the use of social media for professional purposes in Saudi Arabia.

BACKGROUND: There is a notable increase in the usage of social media platforms, especially for health communication, as more clinicians and patients count on this kind of technology. Therefore, this research aimed to investigate the perception and attitude toward social media (SM) use for professionalism and dental practice promotion among periodontal specialists working in Saudi Arabia (KSA). METHODS: Electronic surveys were distributed in person or online using WhatsApp, Snapchat or Email from October 2022 until March 2023. The questionnaire was targeting periodontists in KSA, and it consists of three parts: the first part includes sociodemographic and professional data; the second part asks about the daily usage of SM in dental practice; and the third part asks about the periodontist's opinion about SM usage. Descriptive data were presented as numbers and percentages. The association between the demographic variables and the means of periodontists' opinions was tested using Pearson's chi-square test. Any value equal to or less than 0.05 was considered statistically significant. RESULTS: A total of 121 responses were received from the periodontists. Most of the participants were in the 36-45 age group, with a percentage of 40.5%. In terms of gender, males made up 52.9% of the population, while females made up 47.1%, and the majority of the participants were consultants. The most common SM platform used by periodontists for daily using and dental practice promotion was Snapchat (56.2%), followed by Instagram and Twitter (54.5% and 49.6%, respectively). There was a significant difference in proportions among Twitter, Snapchat and TikTok between older and younger periodontists, with a p value < 0.05. There was no significant difference between the gender of the participants and their opinions regarding the usage of SM. CONCLUSIONS: This study highlighted the effectiveness of SM in the promotion of dental practices and the discipline of periodontics, as more clinicians and patients rely on this kind of technology. These online platforms can improve periodontal practice in terms of dental health education, counseling, advertising, and oral health services.

Investigating the impact of diameters and thread designs on the Biomechanics of short implants placed in D4 bone: a 3D finite element analysis.

BACKGROUND: Dental implants emerge as a dependable and efficacious alternative for patients experiencing partial or complete tooth loss. The stability of these implants is influenced by surface topography and macro-level design. In cases where the height of the maxillary posterior region is diminished, employing short implants can prove advantageous. With the aim of examining the distribution of von Mises stress, strain, and micromovement in D4 bone quality surrounding platform-switched short implants, measuring 6 mm in length and featuring diameters ranging from 4 to 6 mm, as well as different thread designs, an in-depth finite element analysis was conducted under immediate loading conditions. METHODOLOGY: A 3D finite element model was constructed to simulate maxillary molar crowns, incorporating an implant with a length of 6 mm and varying diameters and thread designs. The diameters utilized were 4/3.6 mm, 5/4 mm, and 6/4.8 mm, while the thread designs included buttress, square, and triangle patterns. Each model underwent analysis with a 100 N force applied in two directions: vertical and oblique, relative to the long axis of the implant. Stress, strain, and micromovement in the peri-implant region were recorded, employing the Ansys Workbench R v.18.1 software for modelling and analysis. RESULTS: When comparing all three diameters, the wide diameter (6 mm threads) exhibited the lowest values of peri-implant von Mises stresses (3.3 MPa and 35.1 MPa), strains (194 Ɛ and 484 Ɛ), and micromovements (0.7 µm and 1.3 Ɛ) subjected to axial and non-axial loading of a 100 N force. Notably, square microthreads yielded the most favorable stress parameters among the different thread shapes, manifesting the minimum values of stress, strains, and micromovements in their vicinity. CONCLUSION: For the treatment of atrophic ridges or in scenarios necessitating extensive surgical preparation of the implant site, a combination of short implants, wide diameters, and platform switching can be employed. In situations with reduced bone height and the requirement for an implant-supported prosthesis to replace a missing permanent maxillary molar, the utilization of wide-diameter platform-switched short implants measuring 6 mm in length, featuring a square thread design, should be taken into consideration.

Pain Assessment and Need for Analgesics after Scaling and Root Planing in Patients with Stage II and Stage III Periodontitis.

Background and Objectives: The most common treatment procedure for periodontitis and gingivitis is scaling and root planing, which is perceived as a painful dental treatment. The current study aimed to assess pain perception and analgesics consumption after scaling and root planing (SRP) in patients with stage II and stage III periodontitis. Materials and Methods: Before starting the SRP, all the periodontal parameters, such as probing depth (PD), bleeding on probing (BOP), and clinical attachment level (CAL), were measured. The anxiety level of the patients was also assessed using the modified dental anxiety scale (MDAS) questionnaire. Pain perception of the patients was recorded with the visual analog scale (VAS) after performing the SRP. Patients were asked to mark their pain level on the VAS sheet after two hours, four hours, eight hours, 24 h, and 48 h after the periodontal treatment. The following cut-off points were used for the pain intensity in the VAS: 0 = no pain, 1-4 = mild pain, 4-6 = moderate pain, and 7-10 = severe pain. Patients were advised to take analgesics if the pain was intolerable. Multivariate logistic regression was performed to conduct the association of all dependent variables and the pain perception of patients. A nonparametric Friedman test was conducted to assess pain perception at different times. Results: A total of 52 patients including 32 males and 20 females participated in the current study, with a mean age of 43.10 ± 12.33 years. Multivariate analyses showed that MDAS and analgesic consumption is significantly associated with pain perception. Other clinical variables are not associated with pain perception. The Friedman test exhibited that pain perception is significantly associated (p < 0.05) with time. Conclusions: Analgesic consumption and anxiety level are significantly associated with pain perception after SRP treatment.

Pre-Treatment and Post-Treatment Dental Anxiety in Patients Visiting Intern Dental Clinic.

Background and Objectives: This study aimed to assess the dental anxiety of patients using the modified dental anxiety scale (MDAS) questionnaire along with examining the possible relationship between dental anxiety and sociodemographic factors. Materials and Methods: The MDAS questionnaire was used to assess the anxiety level of the patients which included a total of five questions and five options to respond to each question. MDAS questionnaire was filled out by all the patients before the dental treatment. After finishing the treatment, all the patients were given a post-treatment questionnaire to assess their anxiety levels after treatment. Descriptive statistics were performed for measuring the frequency of responses. Mann-Whitney U test was used to compare the anxiety between the gender. The chi-square test was used to identify the distribution of pre-treatment with gender and post-treatment questionnaire with gender and treatment modalities. Linear regression was used to identify the association between clinical variables and different levels of anxiety. Results: A total of 115 patients including 59 males and 56 females with a mean age of 35 ± 11.34 years were included in the current study. Female patients were significantly more anxious about dental treatment compared to male patients. Linear regression showed that age and gender have a significant association with the pre-treatment anxiety level; however, types of treatment is not associated with the MDAS. Anxiety levels decreased for the majority of the patients after the treatment and types of treatment did not show any differences with the post-treatment anxiety level. Conclusions: Age and gender play an important role in dental anxiety; however, types of treatment are not associated with pre-treatment and post-treatment dental anxiety.

Different Designs of Deep Marginal Elevation and Its Influence on Fracture Resistance of Teeth with Monolith Zirconia Full-Contour Crowns.

Background and objectives: Even with the demand for high esthetics, the strength of the material for esthetic applications continues to be important. In this study, monolith zirconia (MZi) crowns fabricated using CAD/CAM were tested for fracture resistance (FR) in teeth with class II cavity designs with varying proximal depths, restored through a deep marginal elevation technique (DME). Materials and Methods: Forty premolars were randomly divided into four groups of ten teeth. In Group A, tooth preparation was conducted and MZi crowns were fabricated. In Group B, mesio-occluso-distal (MOD) cavities were prepared and restored with microhybrid composites before tooth preparation and the fabrication of MZi crowns. In Groups C and D, MOD cavities were prepared, differentiated by the depth of the gingival seat, 2 mm and 4 mm below the cemento-enamel junction (CEJ). Microhybrid composite resin was used for DME on the CEJ and for the restoration of the MOD cavities; beforehand, tooth preparations were conducted and MZi crowns were and cemented using resin cement. The maximum load to fracture (in newtons (N)) and FR (in megapascals (MPa)) were measured using the universal testing machine. Results: The average scores indicate a gradual decrease in the load required to fracture the samples from Groups A to D, with mean values of 3415.61 N, 2494.11 N, 2108.25 N and 1891.95 N, respectively. ANOVA revealed highly significant differences between the groups. Multiple group comparisons using the Tukey HSD post hoc test revealed that Group D had greater DME depths and showed significant differences compared with Group B. Conclusions: FR in teeth decreased when more tooth structure was involved, even with MZi crowns. However, DME up to 2 mm below the CEJ did not negatively influence the FR. Strengthening the DME-treated teeth with MZi crowns could be a reasonable clinical option, as the force required to fracture the samples far exceeded the maximum recorded biting force for posterior teeth.

Effect of hematocrit, galactose and ascorbic acid on the blood glucose readings of three point-of-care glucometers.

Glucometers are commonly used in a variety of healthcare settings and use in critically ill patients should not be assumed without appropriate tool validation. The study objective was to evaluate the accuracy of three point-of-care glucometers (POCGs) to assess glucose concentration in human blood sample. The POCGs tested included three different instruments and utilized three factors (hematocrit [Hct], galactose and ascorbic acid) in glucose measurements to determine the glucometers' accuracy and compared to the reference laboratory biochemical analyzer (Cobs 8000, Roche, Basal, Switzerland). In this study, the Nova StatStrip glucometer showed no significant variation compared to the laboratory method at high glucose level with various Hct%. ACCU-Chek Inform II overestimated the glucose results at Hct 22% and underestimated at Hct 62%. The Freestyle glucometer showed lower glucose levels compared to the Cobas 8000 at Hct 62%. The ACCU-Check showed significant increase of blood glucose with low Hct% levels when compared to the laboratory method. The Freestyle showed a decreased level of glucose with high Hct 62% interference compared to the Cobas 8000. Galactose interference 100 and 200 mg/dL dramatically affected the accuracy of ACCU-Chek Inform II. Nevertheless, among all three POCGs in this study, the Nova StatStrip showed the most reliable and stable results for glucose level in the presence of interference. Especially, those in critical care units, whereas the Freestyle Precision Pro and ACCU-Chek Inform II were insufficiently accurate for critically ill patients.

A Survey of Crypto Ransomware Attack Detection Methodologies: An Evolving Outlook.

Recently, ransomware attacks have been among the major threats that target a wide range of Internet and mobile users throughout the world, especially critical cyber physical systems. Due to its unique characteristics, ransomware has attracted the attention of security professionals and researchers toward achieving safer and higher assurance systems that can effectively detect and prevent such attacks. The state-of-the-art crypto ransomware early detection models rely on specific data acquired during the runtime of an attack's lifecycle. However, the evasive mechanisms that these attacks employ to avoid detection often nullify the solutions that are currently in place. More effort is needed to keep up with an attacks' momentum to take the current security defenses to the next level. This survey is devoted to exploring and analyzing the state-of-the-art in ransomware attack detection toward facilitating the research community that endeavors to disrupt this very critical and escalating ransomware problem. The focus is on crypto ransomware as the most prevalent, destructive, and challenging variation. The approaches and open issues pertaining to ransomware detection modeling are reviewed to establish recommendations for future research directions and scope.

Histopathologic Oral Cancer Prediction Using Oral Squamous Cell Carcinoma Biopsy Empowered with Transfer Learning.

Oral cancer is a dangerous and extensive cancer with a high death ratio. Oral cancer is the most usual cancer in the world, with more than 300,335 deaths every year. The cancerous tumor appears in the neck, oral glands, face, and mouth. To overcome this dangerous cancer, there are many ways to detect like a biopsy, in which small chunks of tissues are taken from the mouth and tested under a secure and hygienic microscope. However, microscope results of tissues to detect oral cancer are not up to the mark, a microscope cannot easily identify the cancerous cells and normal cells. Detection of cancerous cells using microscopic biopsy images helps in allaying and predicting the issues and gives better results if biologically approaches apply accurately for the prediction of cancerous cells, but during the physical examinations microscopic biopsy images for cancer detection there are major chances for human error and mistake. So, with the development of technology deep learning algorithms plays a major role in medical image diagnosing. Deep learning algorithms are efficiently developed to predict breast cancer, oral cancer, lung cancer, or any other type of medical image. In this study, the proposed model of transfer learning model using AlexNet in the convolutional neural network to extract rank features from oral squamous cell carcinoma (OSCC) biopsy images to train the model. Simulation results have shown that the proposed model achieved higher classification accuracy 97.66% and 90.06% of training and testing, respectively.

Salivary MMP-9 Levels in Chronic Periodontitis Patients with Type-II Diabetes Mellitus.

Chronic periodontitis and diabetes mellitus share a two-way relationship, the common factor being the inflammatory-mediated pathway, and various cytokines are released during this inflammatory cascade, one of which being matrix metalloproteinase-9. The aim of this study was to identify whether the levels of matrix metalloproteinase-9 are increased due to type-II diabetes mellitus in chronic periodontitis patients. It was an observational, analytical, case-control study. Thirty subjects were recruited in the test group, who were suffering from type-II diabetes mellitus and chronic periodontitis, and 30 subjects in the control group, who were subjects with chronic periodontitis but systemically healthy. Periodontal parameters, including the plaque score, gingival bleeding index, probing pocket depth and clinical attachment level of the subjects, were measured, saliva samples of all of the subjects were collected and salivary matrix metalloproteinase-9 levels were analyzed by an enzyme-linked immunosorbent assay (ELISA) technique. The statistical analysis was performed using SPSS 24. Overall, the matrix metalloproteinase-9 levels of the diabetic patients with chronic periodontitis were increased almost twofold (156.95 ± 29.80 ng/mL) compared to the levels in the controls (74.96 ± 6.32 ng/mL) (p < 0.001). Similarly, the periodontal parameters were far worse in diabetics with chronic periodontitis compared to the controls. The average gingivitis score for the test subjects was 78.45 ± 8.93%), compared to 29.32 ± 12.96% in the controls (p < 0.001). The mean probing pocket depth for the test group was 5.39 ± 0.60 mm, and, for the control group, it was 4.35 ± 0.31 mm (p < 0.001). For the test subjects, the average clinical attachment level was 5.86 ± 0.58 mm, and it was 4.66 ± 0.32 mm for the controls (p < 0.001). It was ascertained that there is a two-fold increase in the levels of salivary matrix metalloproteinase-9 in the test group compared to the control group. In addition, the level of periodontal apparatus destruction was greater in the test group. This proved that type-II diabetes mellitus influences the levels of matrix metalloproteinase-9 in humans and elevates them, causing further periodontal destruction.

Future Acceptability of Respiratory Virus Infection Control Interventions in General Population to Prevent Respiratory Infections.

Background and Objectives: In both pandemic and non-pandemic situations, nonpharmaceutical public health measures may offer easy, low-cost, and effective means of reducing the spread and impact of acute respiratory infections. It is unknown whether such measures would be acceptable to the Saudi community beyond the current pandemic. Materials and Methods: A validated survey was used to test community acceptance of the measures. Respondents were asked which infection control practices they planned to maintain and which they believed should be policies for the community as a whole after the COVID-19 pandemic has subsided. Results: The survey was completed by 2057 people (95% completion rate), 1486 (72%) of whom were female, 259 (12.5%) of whom were current smokers, and 72 (3.5%) of whom had chronic lung disease. The most prevalent age groups were 18−30 years (933; 45.4%) and 31−40 years (483; 23.5%), with 641 individuals over 40 years old. Of the responses, 93% indicated that they would continue washing their hands more often; 92% wanted both clinicians and patients to wear masks in hospitals; 86% would continue avoiding smoking in indoor and outdoor areas; 73% would continue wearing a face covering on public transportation; 70% indicated that they would continue wearing a face covering in indoor public places. Regarding the respiratory virus infection control measures, 85% (11/13) received significant support (≥70% acceptability level) for continuation as policies in the future. Wearing face coverings outdoors and social distancing outdoors received little support (45% and 66%, respectively). Of the respiratory virus infection control measures, 54% received less support from current smokers than non-smokers (acceptability level < 70%). People with chronic respiratory disease supported 77% of the measures being regarded as policies in the future. Conclusion: The Saudi community supports nonpharmacological respiratory infection control measures that reduce the likelihood of infection. Public health campaigns should target smokers to increase awareness of the importance of these measures in lowering infections. Based on the findings of this study, nonpharmacological treatments should be presented and included in future recommendations for both the public and patients diagnosed with chronic respiratory diseases.

Quality assurance in allied healthcare education: A narrative review.

Introduction: There is no standard methodology for outlining the intricacies of allied healthcare education (AHE) or its quality. The profound misconception is that quality assurance (QA) in AHE is used on a "voluntary" basis. Given the absence of statutory regulatory mechanisms such as accreditation, validation, and audit by the peripheral agencies concerning QA, adoption of QA measures in AHE is not consistent, and it results in producing a subpar allied health workforce. This paper analyzes the need to include QA measures as an essential domain in evaluating the effectiveness of allied health professional education programs. Method: A large database search was performed using pertinent terms, and a blueprint was developed for a meticulous literature review published between 2015 and 2021. Five hundred eighty-two articles were found and screened; a critical appraisal was performed for 22 peer-reviewed articles for relevant information. Results: The literature review identified the need to use academic domains such as leadership, planning, delivery, and feedback as QA criteria to evaluate the efficiency of education and training in allied health professional education programs. Instructors and facilitators for specific knowledge and skill development and a description of their roles should also be used in QA evaluation. Conclusion: Resources for effective learning and teaching in the allied healthcare domain are limited. This review highlights the significant need to include a QA system in AHE, considering the pivotal role of these students in supporting humankind, now and in the future. The findings contribute to the research by providing essential insights into current trends and focusing on existing research in AHE quality.

Bilateral Simultaneous Lymphomatous Optic Nerve Infiltration in Sporadic Burkitt's Lymphoma.

Burkitt's lymphoma is a highly aggressive mature B cell non-Hodgkin's lymphoma. Systemic non-Hodgkin's lymphoma with isolated metastasis to the optic nerve was found only in one case among nearly six thousand cases of all types of non-Hodgkin's lymphoma. However, bilateral simultaneous lymphomatous optic nerve infiltration without central nervous system (CNS) involvement has not been reported previously. Herein, we present a unique case of simultaneous bilateral optic nerve infiltration without concomitant CNS involvement in sporadic Burkitt's lymphoma.