Assessement of Ground Water Quality In Karamadai By Using Minitab Software

In human society, depletion of groundwater has been the major concern. The aim of the paper is to preserve and maintain balanced ecology with sustainment in groundwater. Hydrochemical study is a front line parameter to determine the quality of water for end users.  The sampling locations were located based on latitude and longitude, the sample locations were mapped using ArcGIS 9.1 software . Totally 20 groundwater samples were collected in the karamadai village and they were analysed for physico- chemical parameters Cluster analysis is supporting for the grouping on the basis of contamination characteristics of groundwater quality. The ammonia, nitrate and sulphate are determined by the spectrophotometer. Titrating method such as chloride is agitated with silver nitrate. Poor water quality has been observed in commercial zone of study area

Road Analysis of NH67 Extension by Using Geographic Information System

Road analysis of NH67 extension from Narsimha nayak kenpalayam to Mettu palayam by using Geographic Information System, and the study is to analyze the traffic congestion of the road. The distance from starting point (Narasimhaickenpalayam) to the ending point(Mettupalayam) is 21.4 km.  The Geographic Information System is used to make the spatial mapping by the involvement of topographical map.  The problem is rectified on the accidental zone, heavy flow of traffic and improper signal design. GIS is a good tool for analyzing the road accidents by the use of values in the spot latitudes and longitudes.  The manual methods are difficult for consuming and expensive.  This project deals with the problems of the Coimbatore city and to make better decision. The problems for traffic related problems can be rectified by adopting better signal designing,implementing speed breakers at necessary locations where traffic congestion is relatively high

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P < 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)