Phylogenomic analysis of the Chlamydomonas genome unmasks proteins potentially involved in photosynthetic function and regulation

Chlamydomonas reinhardtii, a unicellular green alga, has been exploited as a reference organism for identifying proteins and activities associated with the photosynthetic apparatus and the functioning of chloroplasts. Recently, the full genome sequence of Chlamydomonas was generated and a set of gene models, representing all genes on the genome, was developed. Using these gene models, and gene models developed for the genomes of other organisms, a phylogenomic, comparative analysis was performed to identify proteins encoded on the Chlamydomonas genome which were likely involved in chloroplast functions (or specifically associated with the green algal lineage); this set of proteins has been designated the GreenCut. Further analyses of those GreenCut proteins with uncharacterized functions and the generation of mutant strains aberrant for these proteins are beginning to unmask new layers of functionality/regulation that are integrated into the workings of the photosynthetic apparatus

Symptoms and risk factors for long COVID in non-hospitalized adults

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection is associated with a range of persistent symptoms impacting everyday functioning, known as post-COVID-19 condition or long COVID. We undertook a retrospective matched cohort study using a UK-based primary care database, Clinical Practice Research Datalink Aurum, to determine symptoms that are associated with confirmed SARS-CoV-2 infection beyond 12 weeks in non-hospitalized adults and the risk factors associated with developing persistent symptoms. We selected 486,149 adults with confirmed SARS-CoV-2 infection and 1,944,580 propensity score-matched adults with no recorded evidence of SARS-CoV-2 infection. Outcomes included 115 individual symptoms, as well as long COVID, defined as a composite outcome of 33 symptoms by the World Health Organization clinical case definition. Cox proportional hazards models were used to estimate adjusted hazard ratios (aHRs) for the outcomes. A total of 62 symptoms were significantly associated with SARS-CoV-2 infection after 12 weeks. The largest aHRs were for anosmia (aHR 6.49, 95% CI 5.02–8.39), hair loss (3.99, 3.63–4.39), sneezing (2.77, 1.40–5.50), ejaculation difficulty (2.63, 1.61–4.28) and reduced libido (2.36, 1.61–3.47). Among the cohort of patients infected with SARS-CoV-2, risk factors for long COVID included female sex, belonging to an ethnic minority, socioeconomic deprivation, smoking, obesity and a wide range of comorbidities. The risk of developing long COVID was also found to be increased along a gradient of decreasing age. SARS-CoV-2 infection is associated with a plethora of symptoms that are associated with a range of sociodemographic and clinical risk factors

Metabolically healthy obese and incident cardiovascular disease events among 3.5 million men and women

Background: Previous studies have been unclear about the cardiovascular risks for metabolically healthy obese individuals. Objectives: This study examined the associations among metabolically healthy obese individuals and 4 different presentations of incident cardiovascular disease in a contemporary population. Methods: We used linked electronic health records (1995 to 2015) in The Health Improvement Network (THIN) to assemble a cohort of 3.5 million individuals, 18 years of age or older and initially free of cardiovascular disease. We created body size phenotypes defined by body mass index categories (underweight, normal weight, overweight, and obesity) and 3 metabolic abnormalities (diabetes, hypertension, and hyperlipidemia). The primary endpoints were the first record of 1 of 4 cardiovascular presentations (coronary heart disease [CHD], cerebrovascular disease, heart failure, and peripheral vascular disease). Results: During a mean follow-up of 5.4 years, obese individuals with no metabolic abnormalities had a higher risk of CHD (multivariate-adjusted hazard ratio [HR]: 1.49; 95% confidence interval [CI]: 1.45 to 1.54), cerebrovascular disease (HR: 1.07; 95% CI: 1.04 to 1.11), and heart failure (HR: 1.96; 95% CI: 1.86 to 2.06) compared with normal weight individuals with 0 metabolic abnormalities. Risk of CHD, cerebrovascular disease, and heart failure in normal weight, overweight, and obese individuals increased with increasing number of metabolic abnormalities. Conclusions: Metabolically healthy obese individuals had a higher risk of coronary heart disease, cerebrovascular disease, and heart failure than normal weight metabolically healthy individuals. Even individuals who are normal weight can have metabolic abnormalities and similar risks for cardiovascular disease events

Techniques and processes for improving the quality and performance of open-source software

Open-source development processes have emerged as an effective approach to reduce cycle-time and decrease design, implementation, and quality assurance costs for certain types of software, particularly systems infrastructure software, such as operating systems, compilers and language processing tools, editors, and middleware. This paper presents two contributions to the study of open-source software processes. First, we describe key challenges of open-source software and illustrate how quality assurance (QA) processes – specifically those tailored to open-source development – help mitigate these challenges better than traditional closed-source processes do. Second, we summarize results of empirical studies that evaluate how our distributed continuous quality assurance (DCQA) techniques and processes help to resolve key challenges of developing and validating open-source software. Our results show that: (1) creating models and setting up the DCQA process improves developer understanding of open-source software, (2) improving test diversity in terms of platform configurations helps to find defects missed during conventional testing, and (3) centralizing control of QA activities helps to eliminate redundant QA work

Psychological behavior management techniques to alleviate dental fear and anxiety in 4–14-year-old children in pediatric dentistry: A systematic review and meta-analysis

Child's uncooperative behavior can impede the efficient delivery of dental care. Therefore, in spite of exceeding availability of behavior management techniques there is a need to search for a psychological behavior management technique that effectively reduces fear and anxiety during dental treatment and instill a change in child's attitude toward the treatment and is also acceptable by the parents. The aim of our systematic review is to determine the efficacy of various psychological behavior management techniques in managing a child's behavior in pediatric dentistry by assessing the fear and anxiety levels, ease of use by the clinician, application in various operative procedures, and parental acceptance. A systematic search was conducted by two reviewers in databases PubMed, Google Scholar, Scopus, Web of Science, and Cochrane for the studies published from January 1, 2011, to December 31, 2020. Studies included were clinical studies which evaluated the efficacy of various psychological behavior management techniques by evaluating the fear and anxiety levels and the changes in behavior during dental treatment in children aged between 4 and 14 years. The studies selected were then assessed for quality with the help of predetermined criteria which categorized the studies into high, medium, and low. Through search strategy, 7147 articles were yielded. After screening through titles and abstracts, 60 nonduplicated articles were selected which were further screened for full text. At the end, 15 articles were included in systematic review and 3 articles for meta-analysis. It was concluded that all the psychological behavior management techniques aided in reduction of fear and anxiety. In noninvasive procedures, conventional psychological behavior management techniques can be effective but in invasive procedures other newer psychological behavior management techniques showed better results. The aspect of parental acceptance regarding various techniques was not discussed in any of the included studies

Abstract Techniques and Processes for Improving the Quality and Performance of Open-Source Software

Open-source development processes have emerged as an effective approach to reduce cycle-time and decrease design, implementation, and quality assurance costs for certain types of software, particularly systems infrastructure software, such as operating systems, compilers and language processing tools, text and drawing editors, and middleware. This paper presents two contributions to the study of open-source software processes. First, we describe key challenges of open-source software and illustrate how quality assurance (QA) processes – specifically those tailored to open-source development – help mitigate these challenges better than traditional closedsource processes do. Second, we summarize results of empirical studies that evaluate how our Skoll distributed continuous quality assurance (DCQA) techniques and processes help to resolve key challenges of developing and validating open-source software. Our results show that: (1) using models to configure and guide the DCQA process improves developer understanding of opensource software, (2) improving the diversity of platform configurations helps QA engineers find defects missed during conventional testing, and (3) centralizing control of QA activities helps to eliminate redundant work