Possible inundation map of coastal areas of gujarat with a tsunamigenic earthquake

The western Indian peninsula experienced the most destructive tsunami ever recorded in the Arabian Sea by the 28th November 1945 earthquake (Mw 8.1) in Makran region. The run-up height during the tsunami was of 17m at Makran coast and 11 to 11.5m in Gulf of Kachchh region. Seismic gap area along the subduction zone of Makran is possible site of future great earthquake, which could generate tsunamigenic condition along western Indian coast. Determination of run-up elevation is important aspect to study the inundation in any region, which get affected by offshore and on-shore geomorphological conditions i.e. bathymetry and near-shore topography. Inundation maps are prepared using Shuttle Radar Topographic Mission (SRTM) data and ETOPOv2v to show the possible areas of inundation due to different wave heights along coastal parts of Gujarat state. Results shows that more than 2 m run-up elevation is showing possibility of inundation in Jakhau and Kandla areas of Gulf of Kachchh region whereas, the Saurashtra region shows less possibility of inundation. As the state has important installations like ports, jetties, industries along the coast and also other socio-economical perspective which can be affected by such an event, hence the demarcation of possible inundation areas is important for determination of future tsunami hazard demanding more detailed work

INCF/OCNS Software Working Group

Neuroscience cannot exist without its ecosystem of community-developed software tools that many of us rely heavily upon. The newly established Software Working Group, a community working group shared by the International Neuroinformatics Coordinating Facility (INCF) and the Organization for Computational Neurosciences (OCNS), aims to undertake activities that focus on these software tools. Members of the working group will find and discuss relevant software tools, learn and teach how to use them, test and review them, and report bugs to inform tool developers of issues when required. The working group will also strive to learn how these tools work to get involved in their development and maintenance. The aim is to ensure that the tools that our community depends on continue to be maintained by actively engaged community members, and to bring end users into close collaboration with tool developers. Since the working group includes many tool developers, it also serves as a platform to exchange design and development ideas, and will assist in improving interoperability between related tools. Another related goal of the working group is to help members define, improve, and teach transferable skills in the area of modern research software development, particularly in but not limited to, computational neuroscience. The working group is designed to be flexible, instead of being linked to a particular goal. This approach allows the group to pursue timely projects that its members value and are interested in working on. The current goals of the working group are: - To set up and maintain a living document of the current best practices in research software development to serve as a reference for the research community, especially tool developers - To host regular “developer sessions” where developer teams of various tools discuss their development pipelines (or workflows)—to disseminate various development practices, and help potential contributors get started. The activities of the working group can be followed on its website at https://ocns.github.io/SoftwareWG

Osmo-air drying of aloe vera gel cubes

Aloe vera (Aloe barbadensis Miller) cubes of 12.5 × 12.5 × 12.5 mm thick were osmosed for 4 h in sugar syrup of 30, 40 and 50°Brix concentration and temperatures of 30 and 50°C at constant syrup to fruit ratio of 5:1. Osmosed and unosmosed aloe vera samples were hot air dried at 50, 60, 70 and 80°C with constant air velocity of 1.5 m/s. The water loss, solid gain and convective drying behaviour were recorded during experiments. It was observed that water loss and solid gain ranged from 39.2 to 71.3 and 2.7 to 6.3%, respectively during osmo-drying. The moisture diffusivity varied from 2.9 to 8.0 × 10−9 m²/s and 2.7 to 4.6 × 10−9 m²/s during air drying of osmosed and unosmosed aloe vera samples, respectively. Drying air temperature and osmosis as pre-treatment affected the water loss, solid gain, diffusivity at −p ≤ 0.0

On the Action of Cyclosporine A, Rapamycin and Tacrolimus on M. avium Including Subspecies paratuberculosis

BACKGROUND: Mycobacterium avium subspecies paratuberculosis (MAP) may be zoonotic. Recently the "immuno-modulators" methotrexate, azathioprine and 6-MP and the "anti-inflammatory" 5-ASA have been shown to inhibit MAP growth in vitro. We concluded that their most plausible mechanism of action is as antiMAP antibiotics. The "immunosuppressants" Cyclosporine A, Rapamycin and Tacrolimus (FK 506) treat a variety of "autoimmune" and "inflammatory" diseases. Rapamycin and Tacrolimus are macrolides. We hypothesized that their mode of action may simply be to inhibit MAP growth. METHODOLOGY: The effect on radiometric MAP (14)CO(2) growth kinetics of Cyclosporine A, Rapamycin and Tacrolimus on MAP cultured from humans (Dominic & UCF 4) or ruminants (ATCC 19698 & 303) and M. avium subspecies avium (ATCC 25291 & 101) are presented as "percent decrease in cumulative GI" (%-DeltacGI.) PRINCIPAL FINDINGS: The positive control clofazimine has 99%-DeltacGI at 0.5 microg/ml (Dominic). Phthalimide, a negative control has no dose dependent inhibition on any strain. Against MAP there is dose dependent inhibition by the immunosuppressants. Cyclosporine has 97%-DeltacGI by 32 microg/ml (Dominic), Rapamycin has 74%-DeltacGI by 64 microg/ml (UCF 4) and Tacrolimus 43%-DeltacGI by 64 microg/ml (UCF 4) CONCLUSIONS: We show heretofore-undescribed inhibition of MAP growth in vitro by "immunosuppressants;" the cyclic undecapeptide Cyclosporine A, and the macrolides Rapamycin and Tacrolimus. These data are compatible with our thesis that, unknowingly, the medical profession has been treating MAP infections since 1942 when 5-ASA and subsequently azathioprine, 6-MP and methotrexate were introduced in the therapy of some "autoimmune" and "inflammatory" diseases

Five insights from the Global Burden of Disease Study 2019

The Global Burden of Diseases, Injuries, and Risk Factors Study (GBD) 2019 provides a rules-based synthesis of the available evidence on levels and trends in health outcomes, a diverse set of risk factors, and health system responses. GBD 2019 covered 204 countries and territories, as well as first administrative level disaggregations for 22 countries, from 1990 to 2019. Because GBD is highly standardised and comprehensive, spanning both fatal and non-fatal outcomes, and uses a mutually exclusive and collectively exhaustive list of hierarchical disease and injury causes, the study provides a powerful basis for detailed and broad insights on global health trends and emerging challenges. GBD 2019 incorporates data from 281 586 sources and provides more than 3.5 billion estimates of health outcome and health system measures of interest for global, national, and subnational policy dialogue. All GBD estimates are publicly available and adhere to the Guidelines on Accurate and Transparent Health Estimate Reporting. From this vast amount of information, five key insights that are important for health, social, and economic development strategies have been distilled. These insights are subject to the many limitations outlined in each of the component GBD capstone papers.Peer reviewe

Combination of searches for heavy spin-1 resonances using 139 fb−1 of proton-proton collision data at s = 13 TeV with the ATLAS detector

A combination of searches for new heavy spin-1 resonances decaying into different pairings of W, Z, or Higgs bosons, as well as directly into leptons or quarks, is presented. The data sample used corresponds to 139 fb−1 of proton-proton collisions at = 13 TeV collected during 2015–2018 with the ATLAS detector at the CERN Large Hadron Collider. Analyses selecting quark pairs (qq, bb, , and tb) or third-generation leptons (τν and ττ) are included in this kind of combination for the first time. A simplified model predicting a spin-1 heavy vector-boson triplet is used. Cross-section limits are set at the 95% confidence level and are compared with predictions for the benchmark model. These limits are also expressed in terms of constraints on couplings of the heavy vector-boson triplet to quarks, leptons, and the Higgs boson. The complementarity of the various analyses increases the sensitivity to new physics, and the resulting constraints are stronger than those from any individual analysis considered. The data exclude a heavy vector-boson triplet with mass below 5.8 TeV in a weakly coupled scenario, below 4.4 TeV in a strongly coupled scenario, and up to 1.5 TeV in the case of production via vector-boson fusion

Search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks in proton-proton collisions at root s=13TeV

A search for dark matter produced in association with a Higgs boson decaying to a pair of bottom quarks is performed in proton-proton collisions at a center-of-mass energy of 13 TeV collected with the CMS detector at the LHC. The analyzed data sample corresponds to an integrated luminosity of 35.9 fb(-1). The signal is characterized by a large missing transverse momentum recoiling against a bottom quark-antiquark system that has a large Lorentz boost. The number of events observed in the data is consistent with the standard model background prediction. Results are interpreted in terms of limits both on parameters of the type-2 two-Higgs doublet model extended by an additional light pseudoscalar boson a (2HDM+a) and on parameters of a baryonic Z simplified model. The 2HDM+a model is tested experimentally for the first time. For the baryonic Z model, the presented results constitute the most stringent constraints to date.Peer reviewe

A Deep Neural Network for Simultaneous Estimation of b Jet Energy and Resolution

We describe a method to obtain point and dispersion estimates for the energies of jets arising from b quarks produced in proton-proton collisions at an energy of s = 13 TeV at the CERN LHC. The algorithm is trained on a large sample of simulated b jets and validated on data recorded by the CMS detector in 2017 corresponding to an integrated luminosity of 41 fb - 1 . A multivariate regression algorithm based on a deep feed-forward neural network employs jet composition and shape information, and the properties of reconstructed secondary vertices associated with the jet. The results of the algorithm are used to improve the sensitivity of analyses that make use of b jets in the final state, such as the observation of Higgs boson decay to b b ¯