Asthma Outcome Measures Before and After the COVID-19 Outbreak Among the Pediatric Population in a Community Hospital.

Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic is a global health threat that has affected patient care enormously. Moderate to severe asthma was listed as a risk factor for severe SARS-CoV-2 disease by the Centers for Disease Control. Little is known about the impact of the pandemic on asthma control in children, particularly African American children. Objective The present study sought to determine how changes during the coronavirus disease 2019 (COVID-19) pandemic affected asthma metrics in a majority African American pediatric population at a pediatric pulmonology clinic in a community hospital in New York. Methods This is a retrospective, pre-post, comparative cross-sectional study that included children three to 18 years of age with a known diagnosis of asthma followed in a pulmonary clinic. Data were gathered from electronic medical records. Subjects were selected if they presented to a pulmonology clinic within a certain time window both before and after the outbreak of the COVID-19 pandemic. Outcome variables included asthma medication statistics and healthcare utilization statistics. Results Inclusion criteria were met by 104 pediatric patients. The majority were African American. Emergency department visits, primary physician visits, and hospitalizations significantly decreased in the post-COVID study group compared to the pre-COVID control group. Conclusion Among a majority African American pediatric population, there were significant improvements in asthma outcomes after COVID-19 societal changes when compared to before COVID-19 based on outcome variables.

Consanguineous Marriages and Dental Anomalies: A Cross-Sectional Analytical Study.

Objective: To determine the correlation between consanguineous marriages and dental anomalies. Study Design. A cross-sectional analytical study. Materials and Methods: This cross-sectional analytical multicentered study was carried out at Foundation University College of Dentistry after approval of the Ethical Research Committee (ERC) from September 2021 to November 2021 in Pakistan. All pediatric patients (4-10 years old) with dental malformations undergoing dental procedures or examinations and born with spontaneous vaginal delivery and uncomplicated cesarean section participated in the study. First, second, and third-degree relatives' marriages of parents were used to define consanguinity. The Basic Pay Scale was the reference of estimation of socioeconomic status. Participants with a history of orofacial trauma, pertinent parental history (infertility, hormonal treatment, or infectious diseases during pregnancy, conception with assisted reproductive techniques, prolonged complicated labor, premature deliveries, and twin births), and prolonged hospital admission immediately after birth were excluded from the study. Results: The mean maternal and paternal age was recorded to be 23.86 ± 5.4 and 27.07 ± 9.6, respectively, whereas the mean age of participants was 6.60 ± 1.67. There were 297 children with congenital abnormalities, with 203 (68.4%) males and 94 (31.6%) females. The prevalence of consanguineous marriage was found to be in 210 (70.7%) participants. Congenital dental anomalies correlation was found to be significant with consanguineous marriages (p value <0.001). Consanguineous marriages were more frequent in the lower socioeconomic group when compared with the middle and upper socioeconomic groups, respectively (74.7% vs. 8.1% vs. 17.2%, p value 0.007). Conclusion: Congenital dental anomalies were significantly prevalent in consanguineous marriages with greater incidence in lower socioeconomic groups. Consanguineous marriages have the propensity to transmute population conformation, but due to religious and social beliefs, literature is hesitant to ascribe congenital dental anomalies persuasive relevance with consanguinity.

Hand Pose Recognition Using Parallel Multi Stream CNN.

Recently, several computer applications provided operating mode through pointing fingers, waving hands, and with body movement instead of a mouse, keyboard, audio, or touch input such as sign language recognition, robot control, games, appliances control, and smart surveillance. With the increase of hand-pose-based applications, new challenges in this domain have also emerged. Support vector machines and neural networks have been extensively used in this domain using conventional RGB data, which are not very effective for adequate performance. Recently, depth data have become popular due to better understating of posture attributes. In this study, a multiple parallel stream 2D CNN (two-dimensional convolution neural network) model is proposed to recognize the hand postures. The proposed model comprises multiple steps and layers to detect hand poses from image maps obtained from depth data. The hyper parameters of the proposed model are tuned through experimental analysis. Three publicly available benchmark datasets: Kaggle, First Person, and Dexter, are used independently to train and test the proposed approach. The accuracy of the proposed method is 99.99%, 99.48%, and 98% using the Kaggle hand posture dataset, First Person hand posture dataset, and Dexter dataset, respectively. Further, the results obtained for F1 and AUC scores are also near-optimal. Comparative analysis with state-of-the-art shows that the proposed model outperforms the previous methods.

Status of Bioinformatics Education in South Asia: Past and Present.

Bioinformatics education has been a hot topic in South Asia, and the interest in this education peaks with the start of the 21st century. The governments of South Asian countries had a systematic effort for bioinformatics. They developed the infrastructures to provide maximum facility to the scientific community to gain maximum output in this field. This article renders bioinformatics, measures, and its importance of implementation in South Asia with proper ways of improving bioinformatics education flaws. It also addresses the problems faced in South Asia and proposes some recommendations regarding bioinformatics education. The information regarding bioinformatics education and institutes was collected from different existing research papers, databases, and surveys. The information was then confirmed by visiting each institution's website, while problems and solutions displayed in the article are mostly in line with South Asian bioinformatics conferences and institutions' objectives. Among South Asian countries, India and Pakistan have developed infrastructure and education regarding bioinformatics rapidly as compared to other countries, whereas Bangladesh, Sri Lanka, and Nepal are still in a progressing phase in this field. To advance in a different sector, the bioinformatics industry has to be revolutionized, and it will contribute to strengthening the pharmaceutical, agricultural, and molecular sectors in South Asia. To advance in bioinformatics, universities' infrastructure needs to be on a par with the current international standards, which will produce well-trained professionals with skills in multiple fields like biotechnology, mathematics, statistics, and computer science. The bioinformatics industry has revolutionized and strengthened the pharmaceutical, agricultural, and molecular sectors in South Asia, and it will serve as the standard of education increases in the South Asian countries. A framework for developing a centralized database is suggested after the literature review to collect and store the information on the current status of South Asian bioinformatics education. This will be named as the South Asian Bioinformatics Education Database (SABE). This will provide comprehensive information regarding the bioinformatics in South Asian countries by the country name, the experts of this field, and the university name to explore the top-ranked outputs relevant to queries.