Decolorization of Textile Effluents Applying Sequential Operation of Prepared Activated Carbons

Three activated carbons were prepared from bio-waste material and their adsorption efficiency in removal of textile effluents was tested. During sequential operation of these carbons, textile effluents were decolorized with better results like 7, 5 and 3 m-1 absorbance at wavelengths of 436, 525 and 620 nm respectively. 2 g of each adsorbent and at optimum contact time of 40 min removed 93% of color form collected textile effluents

A Machine Learning Framework for Generating Photorealistic Photos of Real Time Objects using Adam Optimizer by a Generative Adversarial Network (GAN)

Photographic training can result in new photographs that, to human observers, appear to be at least superficially authentic, with many realistic features. will discuss a number of intriguing GAN applications in order to help you develop an understanding of the types of problems where GANs can be used and useful. It is not an exhaustive list, but it includes numerous examples of GAN applications that have garnered media attention. This Paper Proposes a Framework for Generating Photorealistic Photos of real time objects (FGPPO) using Adam Optimizer by Generative Adversarial Networks

Impact of Chronic Drought on Nutritional Status of the Community in Drought affected areas in India

Background: Communities affected by chronic drought conditions face a wide variety of challenges including an adverse effect on their nutritional status. The Government of India, during the year 2002-03, declared nine States viz., Andhra Pradesh, Karnataka, Tamil Nadu, Madhya Pradesh, Maharashtra, Rajasthan, Gujarat, Chhattisgarh and Orissa as drought affected. Material and Methods: At the request of Department of Agriculture, Government of India, a rapid community based cross-sectional study was carried out adopting multistage random sampling procedure with the objective to assess the nutritional status of community in these nine chronic drought affected states in India. Results: In general, the intakes of all the nutrients were grossly deficit as against their RDAs. The nutrition intervention programmes initiated by the Government of India, in general, contributed to meet the daily requirement of staples like cereals & millets in most of the States. Conclusion: In drought-affected areas, where the level of famine impact is unknown, an early rapid assessment of the nutritional status and the health needs of the population are critical to estimate the degree of impact to plan timely and appropriate interventions

Prognostic model to predict postoperative acute kidney injury in patients undergoing major gastrointestinal surgery based on a national prospective observational cohort study.

Background: Acute illness, existing co-morbidities and surgical stress response can all contribute to postoperative acute kidney injury (AKI) in patients undergoing major gastrointestinal surgery. The aim of this study was prospectively to develop a pragmatic prognostic model to stratify patients according to risk of developing AKI after major gastrointestinal surgery. Methods: This prospective multicentre cohort study included consecutive adults undergoing elective or emergency gastrointestinal resection, liver resection or stoma reversal in 2-week blocks over a continuous 3-month period. The primary outcome was the rate of AKI within 7 days of surgery. Bootstrap stability was used to select clinically plausible risk factors into the model. Internal model validation was carried out by bootstrap validation. Results: A total of 4544 patients were included across 173 centres in the UK and Ireland. The overall rate of AKI was 14·2 per cent (646 of 4544) and the 30-day mortality rate was 1·8 per cent (84 of 4544). Stage 1 AKI was significantly associated with 30-day mortality (unadjusted odds ratio 7·61, 95 per cent c.i. 4·49 to 12·90; P < 0·001), with increasing odds of death with each AKI stage. Six variables were selected for inclusion in the prognostic model: age, sex, ASA grade, preoperative estimated glomerular filtration rate, planned open surgery and preoperative use of either an angiotensin-converting enzyme inhibitor or an angiotensin receptor blocker. Internal validation demonstrated good model discrimination (c-statistic 0·65). Discussion: Following major gastrointestinal surgery, AKI occurred in one in seven patients. This preoperative prognostic model identified patients at high risk of postoperative AKI. Validation in an independent data set is required to ensure generalizability

IMPLEMENTATION OF LOAD FOLLOWING IN MULTI AREA HYDROTHERMAL SYSTEM UNDER RESTRUCTURED ENVIRONMENT

This paper presents the method in implementing the concept of load following adapted in an Automatic Generation Control (AGC) under restructured scenario. Open transmission access and the evolving of more socialized companies for generation, transmission and distribution affects the formulation of AGC problem. To accommodate new constraints associated with territorial of the traditional AGC two area system is modified to take into account the role of AGC in open market system. This paper investigates the performance of a load following controller on each generator involved in bilateral contracts. A suitable control strategy is also proposed for the generators taking part in load following to share a portion of the uncontracted power demanded by the customers. The concept of Disco Participation is employed and reflected in the two-area block diagram. The proposed system is tested for a two area hydrothermal system considering without and with contract violation. Simulation results show that the concept of load following is successfully implemented in the syste