Ultrasound imaging and shear wave elastography for the differential diagnosis of heel pain: a comparative cross-sectional study.

PURPOSE: In correlation with magnetic resonance imaging (MRI), this study attempts to assess the effectiveness of the diagnostic of ultrasonography (US) features and shear wave elastography (SWE) in determining the different causes of heel pain. MATERIALS AND METHODS: 55 heels with a mean age of 38.33 ± 10.8 were included in the study (10 control cases and 41 cases, 4 of which had bilateral heel pain). There were 23 female cases (56.1%) and 18 male cases (43.95%). Examinations using shear wave elastography (SWE) and ultrasound (US) were done in different positions. MRI and the obtained data were correlated. RESULTS: When used to diagnose different heel pain causes, ultrasound demonstrated great sensitivity and specificity. SWE demonstrated a good correlation with MRI findings and enhanced the ultrasound's diagnostic precision in identifying plantar fasciitis early on (increased accuracy from 88.9 to 93.33% with 100% sensitivity and 83.3% specificity) and Achilles tendinopathy (increased accuracy from 88.9 to 97.8 with 94.7% sensitivity and 100% specificity). CONCLUSION: In summary, we concluded that heel pain can be efficiently examined by both ultrasound (US) and shear wave elastography (SWE) with the former being used as the primary effective tool and the latter being done to increase diagnostic accuracy. We also concluded that SWE improved the ultrasound's diagnostic precision in identifying patients with early plantar fasciitis and Achilles tendinopathy and showed a robust relationship with clinical outcomes, enhancing patient evaluation and follow-up.

Ultrasound-Guided Vs Non-Guided Prolotherapy for Internal Derangement of Temporomandibular Joint. A Randomized Clinical Trial.

OBJECTIVES: This randomized clinical trial study aims to compare ultrasound-guided versus non-guided Dextrose 10% injections in patients suffering from internal derangement in the temporomandibular joint (TMJ). MATERIAL AND METHODS: The study population included 22 patients and 43 TMJs suffering from unilateral or bilateral TMJ painful clicking, magnetic resonance imaging (MRI) proved disc displacement with reduction (DDWR), refractory to or failed conservative treatment. The patients were divided randomly into two groups (non-guided and ultrasound (US)-guided groups). The procedure involved injection of 2 mL solution of a mixture of 0.75 mL 0.9% normal saline solution, 0.3 mL 2% lidocaine and 0.75 mL dextrose 10% using a 25G needle in the joint and 1 mL intramuscular injection to the masseter muscle at the most tender point. The Visual Analogue Score (VAS) was used to compare joint pain intensity over four different periods, beginning with pre-injection, 1-, 2-, and 6-months postinjection. RESULTS: Twenty-two patients 5 males (n = 5/22, 22.7%) and 17 females (n = 17/22, 77.2%) were included in this study. The mean age was 27.3 ± 7.4 years (30.2 ± 7.0) for the non-guided group and 24.3 ± 6.9 for the US-guided group. The dextrose injection reduced intensity over time in both groups with statistically significant improvement (P value <.05) at 2 and 6 months in both groups. There was no statistically significant difference in VAS assessment between both groups. CONCLUSION: Intra-articular injection of dextrose 10% for patients with painful clicking and DDWR resulted in reduced pain intensity in both US-guided and non-guided groups with significant symptomatic improvement over time in both groups. US guidance allowed accurate anatomical localization and safe procedure with a single joint puncture.

Acute Effect of Video Feedback on Self-Regulation and Proprioceptive Control of Standing Back Tuck Somersault in the Absence of Vision.

The purpose of this study was to assess the immediate effect of video feedback on the regulation and control of the standing back tuck somersault in the absence of vision. Two groups of male parkour athletes performed the standing back tuck somersault under both open and closed eyes conditions. The first group received video feedback, while the second group received verbal feedback. Concurrent analysis, including kinetic data from a force plate (Kistler Quattro-Jump) and kinematic data in two-dimensional by Kinovea freeware, was employed for motion and technical performance analysis. The results indicate that the loss of vision during the standing back tuck somersault affected only the take-off and ungrouping angle, as well as the vertical velocity and displacement. These effects were consistent regardless of the type of feedback provided (i.e., video feedback or verbal feedback). Furthermore, a significant Vision × Feedback interaction was observed at the level of technical performance. This suggests that the use of video feedback enabled the parkour athletes to maintain a high level of technical performance both with and without vision (i.e., 13.56 vs. 13.00 points, respectively, p > .05 and d = 2.233). However, the verbal feedback group technical performance declined significantly under the no-vision condition compared with the vision condition (13.14 vs. 10.25 points, respectively, with and without vision, p < .001 and d = 2.382). We concluded that when the movement is proprioceptively controlled (i.e., without vision), the video feedback enables the athletes to globally assess the technical deficiencies arising from the lack of vision and to correct them. These findings are discussed based on parkour athletes' ability to evaluate the kinematic parameters of the movement.

Systematic review and meta-analysis of the prevalence, incidence and treatment outcomes of tuberculosis in Egypt: updated overview.

Background: Tuberculosis (TB) is a major cause of morbidity and mortality globally. Understanding its epidemiology and burden is critical for targeted interventions. Aim: To highlight the prevalence, incidence and treatment outcomes of TB in Egypt during the last 2 decades. Methods: For this systematic review and meta-analysis, we searched Medline/PubMed, ResearchGate, Google Scholar, and Scopus databases. We searched the local databases for unpublished studies, and the reports of international agencies, applying clear inclusion and exclusion criteria. The search covered prevalence; incidence; treatment outcomes; age, gender and residence of patients; and type of TB. Data were analyzed using STATA version 16.0. Pooled estimates with 95% confidence interval (CI) were calculated using a random effects model. Odds ratio (OR) with 95% CI was used as effect measures for related variables. Heterogeneity across studies was assessed using the I² statistic with sub-group analysis. Results: A total of 23 studies from 22 governorates, out of 27 governorates, involving a 139 597 study population met the eligibility requirements with no publication bias. The pooled prevalence was 8.70 (95% CI: 5.80-12.41, I² = 92.7%) and the pooled incidence was 9.10 (95% CI: 6.65-14.86, I² = 95.5%) per 100 000 population. About 82.6% of cases showed cured/completed treatment, 4.4% failure of treatment, and 3.9% died. In the subgroup analyses, the odds of TB prevalence were higher among males than females (2.05; 95% CI: 1.44-3.28), among those living in rural than in urban areas (1.29; 95% CI: 0.61-1.97), in Upper Egypt and Greater Cairo than in Lower Egypt and Delta Region (1.85; 95% CI: 0.97-4.15). The odds of pulmonary TB prevalence were higher than the extrapulmonary TB (2.43; 95% CI: 1.63-5.71). The odds of the treatment cases who were cured/completed (1.04; 95% CI: 0.96-1.51), failed (1.71; 95% CI: 1.35-2.73), and died (1.12; 95% CI: 0.87-1.60) were higher in Lower Egypt than in Upper Egypt. Conclusion: TB incidence decreased in Egypt over the last two decades, but treatment outcomes were unsatisfactory, with variations across the different regions. To achieve TB eradication in Egypt, efforts should be made to sustain the TB control strategy by improving treatment outcomes and intensifying case finding and surveillance reporting.

Six dilemmas for stakeholders inherently affecting data sharing during a zoonotic (re-)emerging infectious disease outbreak response.

BACKGROUND: Timely access to outbreak related data, particularly in the early events of a spillover, is important to support evidence based control measures in response to outbreaks of zoonotic Emerging Infectious Diseases (EID). Yet, this is impeded by several barriers that need to be understood to promote timely sharing of data. Using the MERS epidemic as a model for a zoonotic EID outbreak, this study sought to provide an in-depth understanding of data sharing practices. METHODS: Semi-structured interviews with 25 experts were conducted, along with Focus Group Discussions with 15 additional experts. A root-cause analysis was performed to examine the causal relationships between barriers. Enablers were mapped to the root-cause analysis to understand their influence on the barriers. Finally, root causes were placed in context of core dilemmas identified from the qualitative analysis. FINDINGS: Eight barriers to data sharing were identified, related to collaboration, technical preparedness, regulations, and (conflict of) interests, and placed in the context of six dilemmas inherent to the multi-stakeholder collaboration required for a zoonotic outbreak response. Fourteen identified enablers showed the willingness of stakeholders to overcome or circumvent these barriers, but also indicated the inherent trial and error nature of implementing such enablers. INTERPRETATION: Addressing the barriers requires solutions that must consider the complexity and interconnectedness of the root causes underlying them, and should consider the distinct scopes and interests of the different stakeholders. Insights provided by this study can be used to encourage data sharing practices for future outbreaks FUNDING: Wellcome Trust and UK Aid; EU-H2020 Societal Challenges (grant agreement no. 643476), Nederlandse Organisatie voor Wetenschappelijk Onderzoek (VI.Veni.201S.044).

Awareness, Knowledge, and Attitudes Regarding Health Coaching Among Umm Al-Qura University Public Health Students.

BACKGROUND: In response to the growing burden of chronic diseases on the healthcare system and in pursuit of the health sector goals of Saudi Vision 2030, the Saudi Arabian Ministry of Health implemented an initiative known as health coaching, which helps patients with chronic diseases adopt a healthier lifestyle. This study aimed to assess awareness, knowledge, and attitudes towards the initiative for health coaches among public health students at Umm Al-Qura University in Makkah, Saudi Arabia. METHODS: Data were collected using an online, cross-sectional survey between March 8, 2022 and April 4, 2022. Students from the Health Promotion and Health Education (HPHE) department were compared to students from other public health departments at Umm Al-Qura University. The questionnaire collected data on demographics and awareness, knowledge, and attitudes toward health coaching. Surveys that were at least 80% complete were retained for analysis. RESULTS: A total of 311 students participated, of which 275 (88.4%) were unaware of health coaching and 156 (50.2%) had insufficient health coaching knowledge. However, 233 (74.9%) had a positive attitude about it. HPHE students scored significantly higher on most items than students from other public health departments. CONCLUSION: The students showed positive attitudes but had low scores on awareness and knowledge of health coaching. It is advisable to introduce health coaching into undergraduate medical school curricula. Future research should evaluate students from other health colleges and investigate the effectiveness of health coaching on cost and long-term outcomes of chronic diseases.

Measuring the relationship between body mass index and depression among Saudi adult population: A nationwide cross-sectional study.

BACKGROUND: The prevalence of obesity and depression shows an accelerating trend with increased risk of morbidity and disability. The exact underlying relationship between them is unclear. We aimed to evaluate the prevalence of body mass index (BMI) and depression and their associations in a large sample of Saudi adults. METHODS: We administered a nationwide cross-sectional web-based survey using a snowball sampling method among Saudi adults aged 18-60 years. We used a validated Arabic version of Beck's Depression Inventory-II (BDI-II) for depression assessment. We classified BMI into underweight, normal weight, overweight, and obesity. We used logistic regression analysis to determine the factors associated with depression. RESULTS: Among 4,683 Saudi adults, different grades of depression were present in 43.3%, most (25.2%) with a mild condition. Overweight and obesity were present in 26.4% and 21%, respectively. We found a positive association between BMI and BDI-II score (ρ = 0.14, p = 0.006). BMI was significantly higher among those who were older, males, married, living in the Eastern region of Saudi Arabia, educated at a pre-university level, employed, at high family-income levels, smokers, and people with chronic diseases. Depression score was significantly higher among married, non-employees, non-smokers, people with chronic diseases, and those with BMI ≥ 25 kg/m2. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. CONCLUSIONS: Saudi adults were suffering from different grades of depression, overweight, and obesity. A positive association between BMI and BDI-II score was observed. Depression score did not differ by age, sex, geographical region, educational level, or family income. Non-smoking, presence of chronic diseases, and being overweight or obese were significantly associated with depression. Further longitudinal research is required to understand the factors underpinning causal relationships between BMI and depression, the subgroups' variation, and mediating strategies.

Can ultrasound replace MRI in diagnosing causes of ankle impingement in different compartments?

PURPOSE: This prospective study aims to determine the role of ultrasound (US) in diagnosing different types of ankle impingement due to osseous and soft tissue pathologies and to compare the results with magnetic resonance imaging (MRI), which is considered our gold standard. METHODS: The study population included 90 patients with unilateral ankle pain who presented with symptoms and signs suggestive of ankle impingement. Their age ranged from 17 to 57 years, with a mean age of 33.7 years. Using US and MRI, our cases were classified into bony and soft tissue ankle impingement. They were further classified according to the anatomical compartments affected, into anteromedial, anterior, anterolateral, posteromedial, and posterior. RESULTS: 90 patients were enrolled in this study: 51 males and 39 females. In our study, posterior ankle impingement was the commonest impingement type, while anteromedial ankle impingement was the rarest type, followed by posteromedial impingement. The accuracy of US in diagnosing osseous impingement was found to have the following: sensitivity 70.37%, specificity 100%, PPV 100%, NPV 75%, accuracy 84.31%, and p value < 0.001; meanwhile, the accuracy of US in diagnosing soft tissue impingement was found to have the following: sensitivity 83.33%, specificity 100%, PPV 100%, NPV 87.10%, accuracy 92.16%, and p value < 0.001. CONCLUSION: US is a good diagnostic tool in bone and soft tissue impingements, with a significant p value of 0.001 for both. US cannot replace MRI as a diagnostic tool, but as a widely available imaging modality, it can save time and cost and allows dynamic imaging.

Sleep-Disordered Breathing and Its Association with Nocturnal Enuresis at the Primary Schools in Saudi Arabia: A Cross-Sectional Study.

The correlation between nocturnal enuresis (NE) and sleep-disordered breathing (SDB) was reported. We aim to determine whether there is an association between NE and SDB in children and to assess the prevalence of SDB and NE in primary school children aged 6-12 years in Saudi Arabia. A cross-sectional observational study was conducted among the caregivers of children aged 6-12 years in all Saudi Arabia regions. The data were gathered through a self-administered online questionnaire. It included demographic information, weight and height, and associated comorbidities, in addition to the weekly frequencies of snoring symptoms and of enuresis, as well as of unrefreshing sleep using Likert-type response scales. Counts and percentages, the mean ± standard deviation, chi-square test, independent samples t-test, and regression analysis were used in the statistical analysis using R v 3.6.3. The questionnaire was completed by 686 respondents. Most respondents did not report any comorbidities in their children (77.1%). Asthma and adenotonsillar hypertrophy were reported in 16.2% and 15.6% of children, respectively. Unrefreshing sleep, mouth breathing at night, snoring, chronic nasal obstruction, and difficulty breathing while asleep were reported once or twice per week in 38%, 34%, 28%, 18%, and 18% of children, respectively. The prevalence of NE was 22.3%, with about 36.6% of children having NE two or more times per week. Significantly, NE was reported in 26.6% of children who slept before 10 PM compared to 19% of children who slept after 10 PM; in 28.6% of children who snored or loudly snored (57.1%) three times or more per week; and in 51.2% and 27.5% of children with difficulty breathing while asleep and who breathed through their mouth at night for one or two nights per week, respectively. A multivariable regression analysis showed that male gender (OR = 1.52, p = 0.010), obesity (OR = 1.24, p = 0.028), early sleeping time (OR = 1.40, p = 0.048), loud snoring for three or more nights per week (OR = 1.54, p = 0.001), difficulty breathing for one or two nights per week (OR = 1.85, p = 0.010), and mouth breathing at night for one or two nights per week (OR = 1.55, p = 0.049) were associated with higher odds of NE. Our study revealed that 22.3% of primary school children reported suffering from NE. SDB is a common problem among children with NE. The exact mechanism that links SDB to the increase in the risk of NE is unknown. Male gender, obesity, early sleeping time, loud snoring, difficulty breathing, and mouth breathing at night are potential independent risk factors of NE in school-age children.

Infection transmission via mobile phones in a mass gathering setting: Public knowledge, attitudes and practices in Makkah city, Saudi Arabia.

Background: Mobile phones have become part of everyday life with a potential risk for microbial transmission. Makkah is a mass gathering city that may act as hotspots of disease transmission. The contact between public and both visitors and pilgrims to Makkah can't be overlooked, and any small outbreak within the public can be transmitted rapidly to them. Aim: We aimed to assess knowledge, attitudes, and practices (KAP) of general population towards infection transmission via mobile phones in Makkah and different characteristics relevant to KAP scores. Methods: A cross-sectional web-based survey was conducted on general population in Makkah city using a snowballing sampling method. Participants answered questions about their KAP towards infection transmission via mobile phone. The overall KAP scores were graded as good, fair, and poor and explored against different population characteristics using suitable statistical methods. Results: The study included 385 participants aged 15-64 years. About 88.8% owned personal mobile phone, 3.9% encountering a patient with infections transmitted via mobile phones, and 60.5% know nothing about potential role of mobile phones in infection transmission. Only 16.6% had good knowledge, 64.1% with positive attitudes, and 55.3% reported poor practices. The mean knowledge score was significantly higher among young adults (p = 0.002) and those with higher education (p = 0.005). Their mean attitude and practice scores were significantly higher among older adults (p < 0.001 and p = 0.015), female (p = 0.001 and p = 0.022), and those with higher education (p = 0.036 and p = 0.041) respectively. Conclusion: The overall public knowledge and practices towards the role of mobile phones in infection transmission in Makkah was below average though they have positive attitudes. Raising public awareness is important to decrease the possibility of cross-contamination via mobile phones and to develop adequate preventive strategies in a mass gathering setting like Makkah city.

Dynamics of Anti-S IgG Antibodies Titers after the Second Dose of COVID-19 Vaccines in the Manual and Craft Worker Population of Qatar.

There is limited seroepidemiological evidence on the magnitude and long-term durability of antibody titers of mRNA and non-mRNA vaccines in the Qatari population. This study was conducted to generate evidence on long-term anti-S IgG antibody titers and their dynamics in individuals who have completed a primary COVID-19 vaccination schedule. A total of 300 male participants who received any of the following vaccines BNT162b2/Comirnaty, mRNA-1273, ChAdOx1-S/Covishield, COVID-19 Vaccine Janssen/Johnson, or BBIBP-CorV or Covaxin were enrolled in our study. All sera samples were tested by chemiluminescent microparticle immunoassay (CMIA) for the quantitative determination of IgG antibodies to SARS-CoV-2, receptor-binding domain (RBD) of the S1 subunit of the spike protein of SARS-CoV-2. Antibodies against SARS-CoV-2 nucleocapsid (SARS-CoV-2 N-protein IgG) were also determined. Kaplan-Meier survival curves were used to compare the time from the last dose of the primary vaccination schedule to the time by which anti-S IgG antibody titers fell into the lowest quartile (range of values collected) for the mRNA and non-mRNA vaccines. Participants vaccinated with mRNA vaccines had higher median anti-S IgG antibody titers. Participants vaccinated with the mRNA-1273 vaccine had the highest median anti-S-antibody level of 13,720.9 AU/mL (IQR 6426.5 to 30,185.6 AU/mL) followed by BNT162b2 (median, 7570.9 AU/mL; IQR, 3757.9 to 16,577.4 AU/mL); while the median anti-S antibody titer for non-mRNA vaccinated participants was 3759.7 AU/mL (IQR, 2059.7-5693.5 AU/mL). The median time to reach the lowest quartile was 3.53 months (IQR, 2.2-4.5 months) and 7.63 months (IQR, 6.3-8.4 months) for the non-mRNA vaccine recipients and Pfizer vaccine recipients, respectively. However, more than 50% of the Moderna vaccine recipients did not reach the lowest quartile by the end of the follow-up period. This evidence on anti-S IgG antibody titers should be considered for informing decisions on the durability of the neutralizing activity and thus protection against infection after the full course of primary vaccination in individuals receiving different type (mRNA verus non-mRNA) vaccines and those with natural infection.

Radiogenomic classification for MGMT promoter methylation status using multi-omics fused feature space for least invasive diagnosis through mpMRI scans.

Accurate radiogenomic classification of brain tumors is important to improve the standard of diagnosis, prognosis, and treatment planning for patients with glioblastoma. In this study, we propose a novel two-stage MGMT Promoter Methylation Prediction (MGMT-PMP) system that extracts latent features fused with radiomic features predicting the genetic subtype of glioblastoma. A novel fine-tuned deep learning architecture, namely Deep Learning Radiomic Feature Extraction (DLRFE) module, is proposed for latent feature extraction that fuses the quantitative knowledge to the spatial distribution and the size of tumorous structure through radiomic features: (GLCM, HOG, and LBP). The application of the novice rejection algorithm has been found significantly effective in selecting and isolating the negative training instances out of the original dataset. The fused feature vectors are then used for training and testing by k-NN and SVM classifiers. The 2021 RSNA Brain Tumor challenge dataset (BraTS-2021) consists of four structural mpMRIs, viz. fluid-attenuated inversion-recovery, T1-weighted, T1-weighted contrast enhancement, and T2-weighted. We evaluated the classification performance, for the very first time in published form, in terms of measures like accuracy, F1-score, and Matthews correlation coefficient. The Jackknife tenfold cross-validation was used for training and testing BraTS-2021 dataset validation. The highest classification performance is (96.84 ± 0.09)%, (96.08 ± 0.10)%, and (97.44 ± 0.14)% as accuracy, sensitivity, and specificity respectively to detect MGMT methylation status for patients suffering from glioblastoma. Deep learning feature extraction with radiogenomic features, fusing imaging phenotypes and molecular structure, using rejection algorithm has been found to perform outclass capable of detecting MGMT methylation status of glioblastoma patients. The approach relates the genomic variation with radiomic features forming a bridge between two areas of research that may prove useful for clinical treatment planning leading to better outcomes.

Gender differences in prevalence of hepatitis C virus infection in Egypt: a systematic review and meta-analysis.

Egypt is the country with the highest known hepatitis C virus (HCV) prevalence worldwide. The origin of gender differences in HCV prevalence is not usually well understood. This systematic review and meta-analysis aimed to review and evaluate the gender differences in HCV infection rates amongst Egyptians. Such data would be important to support prevention and control programs aiming to minimize HCV-related morbidity and mortality. PubMed, Scopus, and Web of Science (WOS) were searched for relevant articles published from 1st January 2011 to 13th December 2021, using the search terms (HCV OR "hepatitis C" OR hepacivirus) AND (prevalence OR seroprevalence OR epidemiology OR incidence OR magnitude). At first, retrieved articles were screened, and then relevant data were extracted and analyzed. Descriptive statistics were used for data analysis. Out of 616 studies from databases, only 30 were included after the full-text screening, with 193,621 included participants: 97,597 male and 96,024 female. The overall seroprevalence of HCV antibodies in all included studies was 0.02 (CI - 0.23 to 0.28), with no significant difference between males and females. However, HCV RNA positivity was significantly more prevalent in males than females in adults and the general population (after excluding high-risk groups). In children, no statistically significant differences between males and females were found in the seroprevalence of HCV antibodies nor in the prevalence of PCR positivity. HCV RNA positivity is significantly higher in males than females in adults, while there are no gender differences in children.

Triggers for Acceptance of COVID-19 Vaccination: A Community- Based Study.

BACKGROUND: COVID- 19 vaccines have been released, giving a major hope of getting rid of the dark pandemic crisis. The availability of vaccines does not necessarily mean that the mass vaccination program is a success. We aimed to investigate COVID-19 vaccination knowledge level, acceptance rate, and perception state among Egyptians. METHODS: An analytical cross-sectional online survey was carried out utilizing a selfadministered adult questionnaire that assesses vaccination acceptance with related sociodemographic factors and perceptions based on health belief model perspectives. Predictors of vaccination acceptance were based on logistic regression analysis. RESULTS: We analyzed data for 957 participants, aged 18-78 years, 55.7% were females, and 66.9% were healthcare workers (HCWs). About one-fourth had a history of confirmed COVID-19 infection and 56.5% would accept to have one of the COVID-19 vaccines, where "Pfizer" was the preferable one (37.8%), while "AstraZeneca" was the most rejected vaccine (26.8%). The 1st vaccine dose was received by 273 (28.5%) of which 260 were intended to receive the 2nd dose. Vaccine efficacy, side effects, protection time, and administration route were essentially among the factors that may influence their decision to accept COVID-19 vaccines. About 83.1% had good knowledge about vaccination which was significantly higher with increased age, among graduates/professionals, governmental workers, HCWs in addition to those able to save/invest money, had a history of confirmed COVID-19 infection and intending to have COVID-19 vaccine. Perceptions that vaccination decreases the chance of getting COVID-19 or its complications (OR = 9.28; CI: 5.03-17.12), vaccination makes less worry about catching COVID-19 (OR = 6.76; CI: 3.88-11.76), and being afraid of getting COVID-19 (OR = 2.04; CI: 1.26-3.31) were strong significant predictors for vaccine acceptance. CONCLUSION: Vaccine campaigns should emphasize vaccine benefits and highlight the severity of infection while addressing barriers to vaccination in order to improve vaccine coverage among populations.

Improved Bald Eagle Search Optimization with Synergic Deep Learning-Based Classification on Breast Cancer Imaging.

Medical imaging has attracted growing interest in the field of healthcare regarding breast cancer (BC). Globally, BC is a major cause of mortality amongst women. Now, the examination of histopathology images is the medical gold standard for cancer diagnoses. However, the manual process of microscopic inspections is a laborious task, and the results might be misleading as a result of human error occurring. Thus, the computer-aided diagnoses (CAD) system can be utilized for accurately detecting cancer within essential time constraints, as earlier diagnosis is the key to curing cancer. The classification and diagnosis of BC utilizing the deep learning algorithm has gained considerable attention. This article presents a model of an improved bald eagle search optimization with a synergic deep learning mechanism for breast cancer diagnoses using histopathological images (IBESSDL-BCHI). The proposed IBESSDL-BCHI model concentrates on the identification and classification of BC using HIs. To do so, the presented IBESSDL-BCHI model follows an image preprocessing method using a median filtering (MF) technique as a preprocessing step. In addition, feature extraction using a synergic deep learning (SDL) model is carried out, and the hyperparameters related to the SDL mechanism are tuned by the use of the IBES model. Lastly, long short-term memory (LSTM) was utilized to precisely categorize the HIs into two major classes, such as benign and malignant. The performance validation of the IBESSDL-BCHI system was tested utilizing the benchmark dataset, and the results demonstrate that the IBESSDL-BCHI model has shown better general efficiency for BC classification.

Machine learning based skin lesion segmentation method with novel borders and hair removal techniques.

The effective segmentation of lesion(s) from dermoscopic skin images assists the Computer-Aided Diagnosis (CAD) systems in improving the diagnosing rate of skin cancer. The results of the existing skin lesion segmentation techniques are not up to the mark for dermoscopic images with artifacts like varying size corner borders with color similar to lesion(s) and/or hairs having low contrast with surrounding background. To improve the results of the existing skin lesion segmentation techniques for such kinds of dermoscopic images, an effective skin lesion segmentation method is proposed in this research work. The proposed method searches for the presence of corner borders in the given dermoscopc image and removes them if found otherwise it starts searching for the presence of hairs on it and eliminate them if present. Next, it enhances the resultant image using state-of-the-art image enhancement method and segments lesion from it using machine learning technique namely, GrabCut method. The proposed method was tested on PH2 and ISIC 2018 datasets containing 200 images each and its accuracy was measured with two evaluation metrics, i.e., Jaccard index, and Dice index. The evaluation results show that our proposed skin lesion segmentation method obtained Jaccard Index of 0.77, 0.80 and Dice index of 0.87, 0.82 values on PH2, and ISIC2018 datasets, respectively, which are better than state-of-the-art skin lesion segmentation techniques.

Stay-at-home orders during COVID-19 pandemic: an experience from general population in Damietta Governorate, Egypt.

BACKGROUND: The COVID-19 pandemic in Egypt triggered national preparedness, public engagement, and an integrated response that included social distancing measures, for example, staying at home. We aimed to investigate community awareness of and commitment to complying with the stay-at-home orders in Damietta Governorate, Egypt, during the COVID-19 pandemic. METHODS: A web-based cross-sectional survey was designed and completed by 500 adult participants from Damietta, Egypt, between April 10 and July 15, 2020. Participants were asked about their sociodemographics, sources of knowledge about COVID-19, awareness of COVID-19 prevention methods, commitment to stay-at-home orders, and their trust in governmental measures, community resources, and emergency services. The participants were classified as stay-at-home responders or nonresponders. RESULTS: Of the participants, 18.4% responded to stay-at-home orders; the main reasons for leaving home were buying essentials, especially food, and going to work. Compliance was significant among elderly individuals and those with a history of chronic illness. Nonresponse was significant among individuals who were married, working, or had low family income. More than one-third (39.2%) had good knowledge of effective methods of COVID-19 prevention, and the overall accepted knowledge was significantly higher among stay-at-home responders than nonresponders. Their trust in governmental measures, community resources, and emergency services to manage the pandemic was poor-84.6%, 71.8%, and 79%, respectively-with no significant differences between the groups. CONCLUSIONS: Participants' compliance with and engagement in stay-at-home orders in Damietta Governorate, Egypt, was poor. Public response to stay-at-home orders is affected by sociodemographics, and the public's trust in governmental measures, community resources, and emergency services was poor. Understanding how social distancing is perceived in Egypt is important to provide public support and improve pandemic disease containment.

Study of the Antimicrobial Potential of Actinomycetes Isolated from Organic and Inorganic Waste.

The main objective of this investigation was to characterize a collection of actinomycetes strains isolated from unexplored polluted ecosystems and to evaluate their antimicrobial potential in order to discover interesting bioactive compounds. Based on morphological and culture characters, 32 different strains were isolated: 20 strains from compost heap, seven strains from manure, and five strains from waste water. As expected, the genus Streptomyces was the most prevalent followed by the genus Micromonospora. Analysis of the antimicrobial activities of the isolated strains showed that those from compost heap were more efficient against the tested microorganisms (Candida albicans, Methicillin-resistant Staphylococcus aureus, Staphylococcus aureus, Acinetobacter baumannii, Pseudomonas aeruginosa, and Escherichia coli). Several bioactive compounds were identified by liquid chromatography (LC) combined with mass spectrometry (MS) and then analyzed by both MEDINA's database, which contains the most common secondary metabolites, and Dictionary of Natural Products Chapman & Hall. Many interesting well-known and unknown biomolecules were identified. Quinomycin A and Daidzein were the most fascinating compounds isolated, respectively, by Streptomyces sp. WW2 and Streptomyces sp. WW4. The most active strain was identified based on 16S rDNA's sequences and it seems to be a new strain. The crude extract of the strain CH12 was analyzed and the UV absorption spectra and mass spectra (MS) of the main active compound were reported. It's an interesting compound (possible purpuromycin) with the molecular formula C26H18O13.