Four real-life case studies have been done for the practical realization of the proposed energy management algorithm performance. Another significant contribution of this paper is the utilization of the solar PV power even during grid outage scenario at day time. It is made possible by intelligent interfacing of biogas power generator which acts as a reference AC bus for the grid-tied solar inverter and thus the available solar PV power can be used to serve the critical loads during grid outage condition. The proposed smart hybrid microgrid solution claims to be a generalized one, low cost compared to existing alternatives and applicable to satisfy scalable community energy security as well.A recent outbreak of endemic disease speeded by a virus whose genome is similar to that of SARS and MERS which outbreak in 2002 and 2012 respectively. find more All these are zoonotic infection which means these has transmitted from animal to human. Another similarity amongst these infections is that bat is supposed to be primary reservoir for these viruses. 2019-nCoV was reported by WHO on 31 December 2020 which is spreading with alarming rate. WHO has considered this infection as pandemic which means that if the infection is misled then it will spread fear and will cause unnecessary suffering and death. The onset of infection shows general symptoms of flu which later on develops to pneumonia. The main challenge of the infection is that a defined vaccine or medicine is still under trial. Treatment is done on the basis of symptoms and recovery is dependent on the immune response of the patients. This review article is based on meta-analysis of the data where the relation between reproduction number (R0) and infection rate is well depicted. Most of the countries has R0 > 1 which says the infection is epidemic. Symptoms and possible treatment till date is well defined in this paper. Though the COVID-19 virus has changed its strain and came up with asymptomatic infection which is more challenging. Here we present all the relevant information and facts about novel corona virus.

At this time there are still major questions about the characteristics of disease caused by the new coronavirus (COVID-19) in children as well as factors associated with the development of severe forms of the disease.

Retrospective study including patients under 18 years of age admitted with SARS-CoV-2 infection from March 1 to April 30, 2020. Infection was confirmed by real-time reverse transcriptase polymerase chain reaction (RT-PCR) or antibody testing. We describe the epidemiological and clinical data, laboratory and imaging findings, as well as treatment and outcome in these patients. In light of these findings, patients were classified into two severity groups and then compared.

Thirty-nine children were included, with a median age of 9 years (range 12 days-16 years); 23 were boys. Cases with uncomplicated disease course (24) mostly presented to the emergency department (ED) with fever and/or respiratory symptoms without significant alterations in laboratory findings. Of the 15 children with a com symptoms without altered laboratory-test results generally have an uncomplicated course. Patients with complicated disease present mainly with fever and abdominal and/or mucocutaneous symptoms. Most develop shock. Elevation of inflammatory markers may allow for early detection and the final outcome is good.Antibody therapeutics and vaccines are among our last resort to end the raging COVID-19 pandemic.They, however, are prone to over 1,800 mutations uncovered by a Mutation Tracker. It is urgent to understand how vaccines and antibodies in the development would be impacted by mutations. In this work, we first study the mechanism, frequency, and ratio of mutations on the spike (S) protein, which is the common target of most COVID-19 vaccines and antibody therapies. Additionally, we build a library of antibody structures and analyze their 2D and 3D characteristics. Moreover, we predict the mutation-induced binding free energy (BFE) changes for the complexes of S protein and antibodies or ACE2. By integrating genetics, biophysics, deep learning, and algebraic topology, we deduce that some of the mutations such as M153I, S254F, and S255F may weaken the binding of S protein and antibodies, and potentially disrupt the efficacy and reliability of antibody therapies and vaccines in the development. We provide a strategy to prioritize the selection of mutations for designing vaccines or antibody cocktails.

Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders. We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study.

We downloaded GSE44314, which includes six healthy controls and five patients with FT1D, from the GEO database. Identification of differentially expressed genes (DEGs) was performed by NetworkAnalyst. The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were screened by an online tool-Database for Annotation, Visualization, and Integration Discovery (DAVID). Protein-protein interaction (PPI) network and hub genes among DEGs were analyzed by NetworkAnalyst. And we also use NetworkAnalyst to find out the microRNAs (miRNAs) and transcription factors (TFs) which regulate the expression of DEGs.

We identified 130 DEGs (60 upregulated and 70 downregulated DEGs) between healthy controls and FT1D patients. GO analysis results rre detailed molecular mechanisms of FT1D and may provide novel therapeutic targets.

Adults with type two diabetes mellitus (DM2) show cognitive deficits within the executive function domain. The detrimental effects of DM2 over executive function (EF) performance may be mediated by factors such as cognitive reserve (CR). CR mediates cognitive performance by delaying the appearance of clinical symptoms from subjacent brain pathology or attenuating the severity of such symptoms. Our main goal was to study the effects of CR on executive functions of adults with DM2.

Data from a total of 1,034 adults were included (362 women, 672 men). Subjects were categorized into four groups subjects with DM2 and high CR (

= 235), control subjects with high CR (

= 265), subjects with DM2 and low CR (

= 298), and control subjects with low CR (

= 236). CR was quantified through 3 proxies education, occupational complexity, and leisure activities. Executive functions were evaluated through visual scanning, verbal fluency, and backwards counting tasks. First, a series of four one-way ANOVAs was performed where group was included as a between-subject factor and executive function as a dependent variable.