A scalable hydrogen propulsion system for civil transport aircraft

The aim of this research was to explore the application of engineering systems evolvability analysis techniques in devising potential scalable hydrogen propulsion systems for future civil transport aircraft. Baseline and derivative aircraft concepts were generated for a medium-sized long-range aircraft, with the derivative options having different levels of hydrogen incorporated in a dual-fuel arrangement (with separate hydrogen and kerosene turbofans), as well as potential turboelectric propulsion with boundary layer ingestion. Commonality between each baseline-derivative pair was then estimated, which could be used to predict the derivative development cost savings that could potentially be obtained when working from a specific baseline. The performance and cost results enabled different future scenarios to be explored. It was shown that developing the future concepts based on an existing state-of-the aircraft as baseline can offer considerable cost savings, as opposed to designing a clean sheet version. The importance of the baseline configuration selection in reducing the development cost for the different hydrogen configurations was also highlighted

City Profile: Hyderabad

The report documents the urban transformation of Hyderabad, from its founding in the sixteenth century to its present day positioning as a global centre, especially for Information Technology (IT)- and Life Sciences-based industries. Locating the city’s contemporary experience of climate in this history is important. While the city has been a key cultural and economic centre since its founding, its transformation into a global centre has dramatically altered the city’s spatial and demographic characteristics, and the texture of its built environment. Such transformations have profound implications for how heat is experienced and responded to in the city

Diagnosis and Curative Treatment for Liver Cirrhosis

The main reason of Cirrhosis is the formation of thickened cell line with proteins called as FIBROTICS. Fibrosis means formation of excess of tissue as in a reparative or reactive process. Chronic scarring with liver results in damage to the reparative nodules which is severe and non-reversible. If it is allowed to continue, the buildup of scarred tissue can eventually stop the functions of the liver. Perisinusoidal space in the regenerative nodules has stellate cells which are present below the Hepatocytes and above the Sinusoid. Sinusoid carries the blood along with other cells. The stellate cells in the perisinusoidal space contain vitamin A (quiescent) which get activated after injury. These cells secrete TGF-β and produce collagen. In normal state liver carries wound healing process but when comes to constant injury, the collagen with fibrosis makes the stellate cells to enlarge resulting in the compression of the sinusoid. It creates a pressure in the sinusoid which moves the fluid from the sinusoid to peritoneal cavity that causes ASCITES, the one of the symptoms of cirrhosis. Further enlargement will cause congestive splenomegaly. This is the main reason for the diversion of blood to portosystemic shunt. This finally results in hepatorenal failure (liver failure). Our idea is to bring permanent cure and prevention to the liver cirrhosis by using Nano-robots. A Nano-robot is designed by ELECTRIC-BIOSENSOR. Mostly the nanoparticles present in the samples are used. Drugs like aspirin, dicumarol, and arsenicals destroy the vitamin A. The Nanobots carrying these samples detect the vitamin A and subsequently inactivates them. This leads to shrinking of the cells in the liver and cures the liver cirrhosis. It prevents the liver cirrhosis in starting stage itself

Computational Profiling of Deleterious Non-Synonymous SNP’s in HFE

Liver cirrhosis describes a condition where scar tissue gradually replaces healthy cells in liver. The main causes are sustained, excessive alcohol consumption, viral hepatitis B and C, and fatty liver disease - however, there are other possible causes. Hemochromatosis is most common form of iron overload disease. Three types of hemochromatosis are primary hemochromatosis, also called hereditary hemochromatosis; secondary hemochromatosis; and neonatal hemochromatosis. The HFE gene helps regulate the amount of iron absorbed from food and inherited genetic defects or mutation in HFE [C282Y] cause primary hemochromatosis. Computational approach is sought to determine other similar mutations in this gene. In-silico tools such as SIFT, Polyphen 2.0, and PROVEAN were employed to determine the various deleterious ns-SNPs of HFE that may influence cystic fibrosis

Proceedings of International Web Conference in Civil Engineering for a Sustainable Planet

This proceeding contains articles of the various research ideas of the academic community and practitioners accepted at the "International Web Conference in Civil Engineering for a Sustainable Planet (ICCESP 2021)". ICCESP 2021 is being Organized by the Habilete Learning Solutions, Kollam in Collaboration with American Society of Civil Engineers (ASCE), TKM College of Engineering, Kollam, and Baselios Mathews II College of Engineering, Kollam, Kerala, India. Conference Title: International Web Conference in Civil Engineering for a Sustainable PlanetConference Acronym: ICCESP 2021Conference Date: 05–06 March 2021Conference Location: Online (Virtual Mode)Conference Organizer: Habilete Learning Solutions, Kollam, Kerala, IndiaCollaborators: American Society of Civil Engineers (ASCE), TKM College of Engineering, Kollam, and Baselios Mathews II College of Engineering, Kollam, Kerala, India

SARS-CoV-2 seroprevalence among the general population and healthcare workers in India, December 2020–January 2021

Background: Earlier serosurveys in India revealed seroprevalence of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) of 0.73% in May–June 2020 and 7.1% in August–September 2020. A third serosurvey was conducted between December 2020 and January 2021 to estimate the seroprevalence of SARS-CoV-2 infection among the general population and healthcare workers (HCWs) in India. Methods: The third serosurvey was conducted in the same 70 districts as the first and second serosurveys. For each district, at least 400 individuals aged ≥10 years from the general population and 100 HCWs from subdistrict-level health facilities were enrolled. Serum samples from the general population were tested for the presence of immunoglobulin G (IgG) antibodies against the nucleocapsid (N) and spike (S1-RBD) proteins of SARS-CoV-2, whereas serum samples from HCWs were tested for anti-S1-RBD. Weighted seroprevalence adjusted for assay characteristics was estimated. Results: Of the 28,598 serum samples from the general population, 4585 (16%) had IgG antibodies against the N protein, 6647 (23.2%) had IgG antibodies against the S1-RBD protein, and 7436 (26%) had IgG antibodies against either the N protein or the S1-RBD protein. Weighted and assay-characteristic-adjusted seroprevalence against either of the antibodies was 24.1% [95% confidence interval (CI) 23.0–25.3%]. Among 7385 HCWs, the seroprevalence of anti-S1-RBD IgG antibodies was 25.6% (95% CI 23.5–27.8%). Conclusions: Nearly one in four individuals aged ≥10 years from the general population as well as HCWs in India had been exposed to SARS-CoV-2 by December 2020

Tallo: A global tree allometry and crown architecture database

Data capturing multiple axes of tree size and shape, such as a tree's stem diameter, height and crown size, underpin a wide range of ecological research—from developing and testing theory on forest structure and dynamics, to estimating forest carbon stocks and their uncertainties, and integrating remote sensing imagery into forest monitoring programmes. However, these data can be surprisingly hard to come by, particularly for certain regions of the world and for specific taxonomic groups, posing a real barrier to progress in these fields. To overcome this challenge, we developed the Tallo database, a collection of 498,838 georeferenced and taxonomically standardized records of individual trees for which stem diameter, height and/or crown radius have been measured. These data were collected at 61,856 globally distributed sites, spanning all major forested and non-forested biomes. The majority of trees in the database are identified to species (88%), and collectively Tallo includes data for 5163 species distributed across 1453 genera and 187 plant families. The database is publicly archived under a CC-BY 4.0 licence and can be access from: https://doi.org/10.5281/zenodo.6637599. To demonstrate its value, here we present three case studies that highlight how the Tallo database can be used to address a range of theoretical and applied questions in ecology—from testing the predictions of metabolic scaling theory, to exploring the limits of tree allometric plasticity along environmental gradients and modelling global variation in maximum attainable tree height. In doing so, we provide a key resource for field ecologists, remote sensing researchers and the modelling community working together to better understand the role that trees play in regulating the terrestrial carbon cycle