Investigation of Shear Stud Performance in Flat Plate Using Finite Element Analysis

Three types of shear stud arrangement, respectively featuring an orthogonal, a radial and a critical perimeter pattern, were evaluated numerically. A numerical investigation was conducted using the finite element software ABAQUS to evaluate their ability to resist punching shear in a flat plate. The finite element analysis here is an application of the nonlinear analysis of reinforced concrete structures using three-dimensional solid finite elements. The nonlinear characteristics of concrete were achieved by employing the concrete damaged plasticity model in the finite element program. Transverse shear stress was evaluated using finite element analysis in terms of shear stress distribution for flat plate with and without shear stud reinforcement. The model predicted that shear studs placed along the critical perimeter are more effective compared to orthogonal and radial patterns

Predictors of Daily Mobility of Adults in Peri-Urban South India.

Daily mobility, an important aspect of environmental exposures and health behavior, has mainly been investigated in high-income countries. We aimed to identify the main dimensions of mobility and investigate their individual, contextual, and external predictors among men and women living in a peri-urban area of South India. We used 192 global positioning system (GPS)-recorded mobility tracks from 47 participants (24 women, 23 men) from the Cardiovascular Health effects of Air pollution in Telangana, India (CHAI) project (mean: 4.1 days/person). The mean age was 44 (standard deviation: 14) years. Half of the population was illiterate and 55% was in unskilled manual employment, mostly agriculture-related. Sex was the largest determinant of mobility. During daytime, time spent at home averaged 13.4 (3.7) h for women and 9.4 (4.2) h for men. Women's activity spaces were smaller and more circular than men's. A principal component analysis identified three main mobility dimensions related to the size of the activity space, the mobility in/around the residence, and mobility inside the village, explaining 86% (women) and 61% (men) of the total variability in mobility. Age, socioeconomic status, and urbanicity were associated with all three dimensions. Our results have multiple potential applications for improved assessment of environmental exposures and their effects on health

Analysing Event-Related Sentiments on Social Media with Neural Networks

Sentiment analysis is performed to determine the polarity of opinion on a subject. It has been applied to text corpora such as movie reviews, financial documents to glean information about overall-sentiment anc produce actionable data. Recent events have demonstrated that polling can be sometimes unreliable. People can be difficult to access through conventional polling methods and less than frank in polls. In the era of social media, voters are likely to more freely express their opinion on social media forums about divisive events especially in media where anonymity exists. Analyzing the prevailing opinion on these forums can indicate if there are any deficiencies in polling and can be a valuable addition to conventional polling. We analyzed text corpora from Reddit forums discussing the recent referendum in Britain to exit from the EU (known as Brexit). Brexit was an important world event and was very divisive in the run-up and post vote. We analyzed sentiment in two ways: Initially we tried to gauge positive, negative, and neutral sentiments. In the second analysis, we further split these sentiments into six different polarities based on the directionality of the positive and negative sentiments (for or against Brexit). Our technique utlilized paragraph vectors (Doc2Vec) to construct feature vectors for sentiment analysis with a Multilayer Perceptron classifier. We found that the second analysis yielded overall better results; although, our classifier didn’t perform as well in classifying positive sentiments. We demonstrate that it is possible glean valuable information from complicated and diverse corpora such as multi-paragraph comments from reddit with sentiment analysis

Deep neck space infections: comparison of outcomes between diabetic and non-diabetic patients

Background: The objective of the study was to study the clinical presentation, microbiological profile, treatment protocol of deep neck space infections in diabetics and non diabetics.Methods: This was a prospective study conducted on 76 patients (diabetics and non diabetics) admitted in the Department of Otorhinolaryngology, TD Medical college, Alappuzha over a period of 18 months from January 2012 to June 2013.Results: The age distribution was 15-75 years. Male to female ratio was 2:1. Fever, pain, neck swelling and odynophagia were the common symptoms with dyspnoea and chest pain indicative of complications. The most common etiology was odontogenic (68.4%) followed by tonsillopharyngeal infection and foreign bodies. No etiological factor was found in 34.2%. The commonest site was submandibular space (64.2%) followed by parapharyngeal space (26.6%). Abscess was present in majority needing surgical drainage. The most common organism isolated was streptococcus viridans (37.5%). Preponderance of klebsiella species was noted in diabetics. Streptococcus showed susceptibility to pencillin (83.33%), ampicillin (92%), cefotaxime (60.526%). Klebsiella showed susceptibility to gentamicin (42.3%) and ciprofloxacin (28.57%). The complication rate was more in diabetics (34.21%). Contrast enhanced CT was done in cases suspected to have complication. The mean hospital stay was longer in diabetics (19.6 days) than non diabetics (6.4 days).Conclusions: Deep neck space infection still remains life threatening if not heeded promptly. Senescence and diabetes demand surgical intervention and meticulous glycemic control to prevent complications. Judicious use of antimicrobials and timely radiological and surgical interventions have come a long way in the management and in providing a cure to this dreaded condition

Nestroft as a screening tool to Identify Beta Thalassaemia Trait in Paediatric Cases.

In India, There Are Around 20 Million Carrier Cases Of -Thalassaemia And Around 8000-10,000 Children Are Born Every Year With -Thalassaemia Major, Lokeshwar M.R. Shah N, Kanakia N. Et.Al 2006. The Birth Of A Thalassaemia Child Places Considerable Health And Economic Strain Not Only On The Affected Child And His/Her Family But Also On The Community. Since, Thalassaemia Is A Severe And Incurable Disease, Emphasis Has To Be Shifted From The Treatment Of An Affected Child To The Prevention Of Such Births In Future. Identifying Carriers For - Thalassaemia Patients, Thus Plays An Important Role In Preventing This, Verma IC Et.Al (1992). - Thalassaemia Trait Presents With Microcytic Hypochromic Blood Picture Similar To The Picture Of Iron Deficiency Anemia And Anemia Of Chronic Diseases. The Differentiation Between These Conditions Becomes Mandatory Which Usually Relies On The Measurement Of Serum Ferritin, Serum Iron, Total Iron Binding Capacity And Hb A2 Levels. These Diagnostic Methods Are Costly And Hence Constitute A Significant Burden On Public Health Economy Particularly In Developing Countries Like India. This Made The Way For Developing A Simple And Economic Screening Test For The Detection Of Carriers Of - Thalassemia. In 1988 Mehta BC Et Al Developed A Simple Cost Effective Screening Test For The Detection Of Cases Of -Thalassemia Trait Based On Reduced Osmotic Fragility. This Is Called NESTROFT (Naked Eye Single Tube Red Cell Osmotic Fragility Test). We Have Tried To Assess The Usefulness Of This Screening Test In Our Paediatric Cases Presenting With Anemia

Optimization of preparation of activated carbon from Ricinus communis leaves by microwave – Assisted Zinc Chloride chemical activation: Competitive adsorption of Ni2+ ions from aqueous solution,

e preparation of activated carbon (AC) from Ricinus communis leaves was investigated in this paper. Orthogonal array experimental design method was used to optimize the preparation of AC using microwave assisted zinc chloride. Optimized parameters were radiation power of 100 W, radiation time of 8 min, concentration of zinc chloride of 30% by volume, and impregnation time of 24 h, respectively. e surface characteristics of the AC prepared under optimized conditions were examined by pH ZPC , SEM-EDAX, XRD, and FTIR. Competitive adsorption of Ni 2+ ions on Ricinus communis leaves by microwave assisted zinc chloride chemical activation (ZLRC) present in binary and ternary mixture was compared with the single metal solution. e effects of the presence of one metal ion on the adsorption of the other metal ion were investigated. e experimental results indicated that the uptake capacity of one metal ion was reduced by the presence of the other metal ion. e extent of adsorption capacity of the binary and ternary metal ions tested on ZLRC was low (48-69%) as compared to single metal ions. Comparisons with the biosorption of Ni 2+ ions by the biomass of ZLRC in the binary and ternary solution (67.32-57.07%-∼Ni-Cu and Cr) could lead to the conclusion that biosorption of Ni 2+ ions was reduced by the in�uence of Cu 2+ and Cr 3+ ions. e e�uilibrium data of the adsorption was well �tted to the Langmuir isotherm. e adsorption process follows the pseudo-second-order kinetic model

Uptake of Cationic Dyes from Aqueous Solution by Biosorption Using Granulized Annona squmosa

A new, low cost, locally available biomaterial was tested for its ability to remove cationic dyes from aqueous solution. A sample of granulized Annona squmosa seeds had been utilized as a sorbent for uptake of three cationic dyes, methylene blue (MB), methylene red (MR) and malachite green (MG). The effects of various experimental parameters (e.g., contact time, dye concentration, adsorbent dose and pH) were investigated and optimal experimental conditions were ascertained. Above the value of initial pH 5, three dyes studied could be removed effectively. The isothermal data fitted the Langmuir model in the case of MB sorption and the Freundlich model for all three dyes sorption. The biosorption processes followed the pseudo first order rate kinetics. The results in this study indicated that granulized Annona squmosa seed was an attractive candidate for removing cationic dyes from the dye wastewater

Removal of malachite green from aqueous solution by activated carbon prepared from the Annona squmosa seed by adsorption

The use of low -cost, locally available, highly efficient and eco-friendly adsorbents has been investigated as an ideal alternative to the current expensive methods of removing dyes from wastewater. This study investigates the potential use of activated carbon prepared from the Annona squmosa seed for the removal of malachite green (MG) dye from simulated wastewater. The effects of different system variables, adsorbent dosage, initial dye concentration, pH and contact time were investigated and optimal experimental conditions were ascertained. The results showed that as the amount of the adsorbent is increased, the percentage of dye removal increase accordingly. Optimum pH value for dye adsorption was 7.0. Maximum dye was sequestered within 50 min from the start of every experiment. The adsorption of malachite green followed the pseudo-second –order rate equation and fits the Langmuir, Freundlich, Dubinin-Radushekevich (D-R) and Tempkin equations well. The maximum removal of MG was obtained at pH 7 as 86.11% for adsorbent dose of 0.2 g/ 50 mL and 25 mg L -1 initial dye concentration at room temperature. Furthermore, adsorption kinetics of MG was studied and the rate of adsorption was found to conform to pseudo-second –order kinetics with a good correlation (R2 > 0.99) with intraparticle diffusion as one of the rate determining steps. Activated carbon developed from the Annona squmosa seed can be an attractive option for dye removal from diluted industrial effluents since test reaction made on simulated dyeing wastewater showed better removal percentage of MG.Resumo

A Collaborative Ambient Picture Selection System Based on Layered Attention

One of the most immediately noticeable advantages of one-on-one communication as of late is the creation of picture-based, easygoing affiliations. Those daily monster photo swaps learning about customers' tastes in user-generated images and influencing recommendations has developed into a pressing need. It's true that several mixed models have been offered to combine client thing documented lead with various types of ancillary data (like image visual delineation or social connection) to better execute suggestions. Despite this, the past evaluations fail to capture the amazing views that influence clients' propensities in a bound together structure due to the remarkable characteristics of the client-conveyed images in social picture composes. Furthermore, the vast majority of these hybrid models relied on predetermined stacks to combine different types of data, which, according to the guidelines, admitted faulty proposal execution. In this study, we do just that by constructing a robust model of ideas for putting out socially critical pictures. We see three key focuses (i.e., move history, social impact, and proprietor venerate) that effect every client's dormant preferences, where each perspective outlines a canny factor from the eccentric relationship between customers and pictures, despite the fact that essential apathetic client enthusiasm appears in the standard framework factorization based proposition