Abstract

In the present situation of building construction around the world, Flat slab is becoming widely popular in the multi-storied buildings due to its advantage and ease of construction over the slabs. However, during past earthquakes, many building with flats have performed poorly. This is mainly due to inadequate resistance for punching shear under the earthquake loading. Many codes that are available for the design are for the analysis of flat slab under gravity loading. Some provisions exist for punching shear resistance, however, they are inadequate. To understand the behavior of building with flat slab subjected lateral loads, a numerical study is performed. A three-dimensional finite element method is used to perform the analysis. A flat slab along with the columns is modelled. Nonlinear constitute equations are used to model material, ie, concrete. Parametric study is performed for understanding the nonlinear behavior of flat slab subjected to lateral loads.

Abstract

Geospatial data visualization systems have been predominantly through applications that are installed and run in a desktop environment. Over the last decade, with the advent of web technologies and its adoption by Geospatial community, the server-client model for data handling, data rendering and visualization respectively has been the most prevalent approach in Web-GIS. While the client devices have become functionally more powerful over the recent years, the above model has largely ignored it and is still in a mode of serverdominant computing paradigm. In this paper, an attempt has been made to develop and demonstrate LSIViewer - a simple, easy-to-use and robust online geospatial data visualisation system for the user’s own data that harness the client’s capabilities for data rendering and user-interactive styling, with a reduced load on the server. The developed system can support multiple geospatial vector formats and can be integrated with other web-based systems like WMS, WFS, etc. The technology stack used to build this system is Node.js on the server side and HTML5 Canvas and JavaScript on the client side. Various tests run on a range of vector datasets, upto 35MB, showed that the time taken to render the vector data using LSIViewer is comparable to a desktop GIS application, QGIS, over an identical system.

Abstract

Geography markup language (GML) is an XML specification for expressing geographical features. Defined by Open Geospatial Consortium (OGC), it is widely used for storage and transmission of maps over the Internet. XML schemas provide the convenience to define custom features profiles in GML for specific needs as seen in widely popular cityGML, simple features profile, coverage, etc. Simple features profile (SFP) is a simpler subset of GML profile with support for point, line and polygon geometries. SFP has been constructed to make sure it covers most commonly used GML geometries. Web Feature Service (WFS) serves query results in SFP by default. But it falls short of being an ideal choice due to its high verbosity and size-heavy nature, which provides immense scope for compression. GMZ is a lossless compression model developed to work for SFP compliant GML files. Our experiments indicate GMZ achieves reasonably good compression ratios and can be useful in WebGIS based applications.

Abstract

Lanke et al. (2017) Can J Biotech, Volume 1, Special Issue, Page 96 https://doi.org/10.24870 /cjb.2017-a83 Canadian Journal of Biotechnology ISSN 2560-8304 Poster Presentation … © 2017 Lanke et al.; licensee Canadian Journal of Biotechnology. This is an open access article distributed as per the terms of Creative Commons Attribution- NonCommercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited … Network level analysis of Aging and Alzheimer's … Vinay Lanke, SaiTeja Moolamalla and PK Vinod … Centre for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad 500032, INDIA … Presenting author: vinay.lanke@research.iiit.ac.in; *Corresponding author: vinod.pk@iiit.ac.in

Abstract

Base pairs involving post-transcriptionally modified nucleobases are believed to play important roles in a wide variety of functional RNAs. Here we present our attempts toward understanding the structural and functional role of naturally occurring modified base pairs using a combination of X-ray crystal structure database analysis, sequence analysis, and advanced quantum chemical methods. Our bioinformatics analysis reveals that despite their presence in all major secondary structural elements, modified base pairs are most prevalent in tRNA crystal structures and most commonly involve guanine or uridine modifications. Further, analysis of tRNA sequences reveals additional examples of modified base pairs at structurally conserved tRNA regions and highlights the conservation patterns of these base pairs in three domains of life. Comparison of structures and binding energies of modified base pairs with their …

Abstract

Post transcriptionally modified nucleotides play an important structural role in RNA by providing additional chemical diversity to the architecture of the constituent nucleotides. To understand the contribution of these modified nucleotides in tertiary interactions that help in RNA folding, we present a systematic investigation of higher order hydrogen bonded structures involving modified nucleotides using bioinformatics based crystal structural database analysis and quantum chemical calculations. Our analysis reveals that 29% of the modified bases that participate in hydrogen-bonding interactions form higher order motifs, which points towards their importance as RNA building blocks. Although greater geometric variations in such motifs are observed in tRNA, they occur most commonly in rRNA, where they may play a role in RNA folding. Characterization of the optimum geometries and binding strengths of the modified …

Abstract

Reverse Watson-Crick G:C basepairs (G:C W:W Trans) occur frequently in different functional RNAs. This is one of the few basepairs whose gas-phase-optimized isolated geometry is inconsistent with the corresponding experimental geometry. Several earlier studies indicate that through post-transcriptional modification, direct protonation, or coordination with Mg2+, accumulation of positive charge near N7 of guanine can stabilize the experimental geometry. Interestingly, recent studies reveal significant variation in the position of putatively bound Mg2+. This, in conjunction with recently raised doubts regarding some of the Mg2+ assignments near the imino nitrogen of guanine, is suggestive of the existence of multiple Mg2+ binding modes for this basepair. Our detailed investigation of Mg2+-bound G:C W:W Trans pairs occurring in high-resolution RNA crystal structures shows that they are found in 14 different …

Abstract

A novel approach to accurately determine residue-specific noncovalent interaction strengths (ξ) of proteins from NMR-measured fast side chain motional parameters (Oaxis2) is presented. By probing the environmental sensitivity of side chain conformational energy surfaces of individual residues of a diverse set of proteins, the microscopic connections between ξ, Oaxis2, conformational entropy (Sconf), conformational barriers, and rotamer stabilities established here are found to be universal among proteins. The results reveal that side chain flexibility and conformational entropy of each residue decrease with increasing ξ and that for each residue type there exists a critical range of ξ, determined primarily by the mean side chain conformational barriers, within which flexibility of any residue can be reversibly tuned from highly flexible (with Oaxis2 ∼ 0) to highly restricted (with Oaxis2 ∼ 1) by increasing ξ by ∼3 kcal …

Abstract

An understanding of the determinants of the thermal stability of thermostable proteins is expected to enable design of enzymes that can be employed in industrial biocatalytic processes carried out at high temperatures. A major factor that has been proposed to stabilize thermostable proteins is the high occurrence of salt bridges. The current study employs free energy calculations to elucidate the thermodynamics of the formation of salt bridge interactions and the temperature dependence, using acetate and methylguanidium ions as model systems. Three different orientations of the methylguanidinium approaching the carboxylate group have been considered for obtaining the free energy profiles. The association of the two ions becomes more favorable with an increase in temperature. The desolvation penalty corresponding to the association of the ion pair is the lowest at high temperatures. The occurrence of …

Abstract

Predictability of river water temperature is a big argument for many environmental applications, hydrology and ecology research. River water temperature mainly depends on several parameters of water bodies such as streamflow, Dissolved Oxygen (DO), oxidation reduction potential, pollutant temperature, thermal effluent discharges, ground water interactions and its surrounding atmosphere. Commonly, the river water temperature always has been correlated with air temperature as a substitute due to the ease of applicability for rivers with some limitations over detailed meteorological and thermal data. In addition to air temperature the most influencing component of water body is streamflow which is having strong response towards the water temperature. An evaluation of integrated river water temperature and streamflow fluctuations is proposed to evidence biological activity, chemical specimen, oxygen solubility, self-purification capacity of a river system and variation of flows due to hydro-climatic changes. Prediction of river water temperature at various locations over a river basin is vital for the water quality management. The present study aims to estimate the river water temperature (RWT) under air temperature changes and local to regional anthropogenic activities of streamflow over Krishna river basin, India. A standardized multi-linear regression model is developed for predicting river water temperature over various discharge locations of the Krishna river basin. The performance of the model was tested mainly for 8 stations using historical daily data of river temperature, air temperature and river discharges from 1991 to 2005. The attainment of a model is carried out for these stations with air temperature, stream flows are predictors whereas water temperature as predictability component through training, testing. In this study the correlation coefficients between air minimum, maximum and average temperature with river water temperature are determined for selecting the possible air temperature variable to be considered in the analysis. The correlation coefficients are obtained with air minimum temperature (r = 0.541-0.772), air maximum temperature (r= 0.267-0.613) and air average temperature (r = 0.463-0.715) for all stations and it is observed that air minimum has the highest correlation coefficient value and it could be suitable for modeling. The performance of the multi-linear regression model for training and testing was obtained in terms of Root Mean Square Error (RMSE = 0.934 to 4.556), Correlation of determination (R = 0.984 and 0.986).