Image Clustering : Comparison Of Two Color Segmentation Techniques

The clustering research is regarding the area of data mmmg and implementation of the clustering algorithms. The image clustering is major part of data mining where study about how to binds the similar data together in a cluster and show the meaningful data. There are many algorithm for analysing clustering each having its own method to do clustering. This clustering technique increasingly common and has yield many insights into segmentation factors, would effect image functioning and performance. The enormous researches going on extract image with background subtraction. We focus on the outlier detection and background subtraction on image. This project proposed a two color segmentation techniques such as K-means and Fuzzy C-means clustering algorithm that are accurately segment the desired images, which have the same color as the pre-selected pixels with background subtraction. In the software development testing we examine image based clustering, as we can used clustering by distance base, by pixel (red, green, blue) value etc., The problem is solved by region based method which is based on connect component and background detection techniques. The appropriate Java codes are developed for solve this task. The developed patterns are applied in the field ofreal-time analysis. Finally, the algorithm found, which would solve the image segmentation problem

Efficient Buffer Management Protocol for Multicast Streaming in MANET

AbstractBuffer management techniques are essential while handling multicast streaming in MANET since real-time data will involve playback delay and jitter. In this paper, an efficient buffer management protocol is developed for streaming data in multicast groups. The frequently requested video data can be buffered in any intermediate nodes along the multicast tree from the source to the receivers. When packets are received, they are classified as real-time or non-real-time and placed into respective queues. Cumulative weight of the packets in the real-time buffer is then estimated based on number of hops, deadline and waiting time. Based on the estimated weight value, transmission priorities are assigned. The buffer space is dynamically adjusted depending on the number of intermediate nodes along the multicast tree from the source to the receivers. Simulation results show that the proposed buffer management protocol reduces the latency and energy consumption while increasing the packet delivery ratio

Retrospective clinicopathological analysis of scar endometriosis and its surgical management

Background: Scar endometriosis is a rare form of extrapelvic endometriosis. It is defined as presence of endometrial glands and stroma in the abdominal wall. They have a variable clinical presentation and present to various doctors. Abdominal mass along with cyclical pain is pathognomic of scar endometriosis. Objective was to analyse the clinical presentation and surgical outcomes of scar endometriosis.Methods: It was a retrospective observational study. We have collected records of 28 patients of scar endometriosis managed at GEM Hospital over a period of 3 years. Patients demographic features, previous surgery, clinical findings, surgical findings, association with pelvic endometriosis as noted on diagnostic laparoscopy, need for mesh,  recurrence rate on follow up were noted.Results: Mean age of patients was 32.1 years. History of previous caesarean surgery/hysterotomy was present in all patients. Major clinical presentation was cyclical pain. MRI or USG was done and abdominal wall lesions were demonstrated in all cases. Diagnostic laparoscopy was done in 26 of these patients and showed associated endometriosis in 9 patients. Plane of endometriosis was found to be subcutaneous for 9 cases, sheath in 7 and muscular in 12 cases. HPE was proven in all cases.Conclusions: Scar endometriosis is rare. High index of suspicion is needed for diagnosis, especially in cases of previous caesarean sections. MRI and USG are useful tools for diagnosis. Complete wide local excision of scar endometriosis is the primary modality of treatment. Diagnostic laparoscopy along with the procedure is helpful in diagnosing associated pelvic endometriosis

Bitter Gourd (Momordica charantia) Peroxidase in Decolorization of Dyes from Tannery Effluent

Bitter Gourd (Momordica charantia) is a commonly available plant in India and its applications are limited to few medicinal properties in addition to being edible. The primary objective of this study is to evaluate the efficacy of Momordica charantia peroxidase in the degradation of dyes present in tannery effluents under various experimental conditions like pH, Temperature, Time intervals and Enzyme concentration on the basis of the one-factor-at-a-time (OFAT) method. The maximum decolorization was achieved at pH 5.0 – 6.0, 40oC temperature, in 4 hours with an enzyme concentration of 0.6 ml consisting of 4500 Units enzyme activity extracted from 0.5 g of Bitter Gourd. Present study results demonstrate that the Momordica charantia peroxidase is an effective biocatalyst for the treatment of effluents with dyes from tanning industries.ÂÂ

CHANGES IN EATING BEHAVIOURS FOLLOWING BARIATRIC SURGERY: A PROSPECTIVE STUDY

Adopting healthy eating behavior is important in achieving successful weight loss after bariatric surgery. This study aims to determine the changes in eating behaviors 6 months after surgery. Fifty-seven patients who went through bariatric surgery in two tertiary referral hospitals were recruited and interviewed before surgery (T0), three (T1), and six (T2) months after surgery. Eating behaviors were assessed using the Dutch Eating Behavior Questionnaire (DEBQ), which measured emotional, external, and restrained eating. Higher subscale scores indicate strong behavioral traits. Other information including psychological distress, quality of life, socio-demography, and morbidity were collected. Generalized Estimating Equation (GEE) model was developed to study the change in eating behaviors and its’ predictors over time. Participants of the study were mostly women, from the Malay ethnic group and the average age at the time of surgery was 39.4 years. Emotional and external eating scores changed significantly over time with the values recorded at various time intervals as follows: 2.06 and 2.86 before surgery; 1.64 and 2.25 three months after surgery; and 1.81 and 2.40, 6 months after surgery. Reduction in the third month followed by a slight increase at the sixth was noted. Restrained eating did not show a significant change. The presence of diabetes was also associated with higher emotional and external eating scores. Further, higher anxiety scores were associated with higher external eating. Favorable changes in eating behaviors were noted after bariatric surgery. However, a risk of a reversal in the improvement was present. The emotional and external eating behaviors in surgical candidates should be identified and addressed accordingly with special attention to diabetic patients

The Alliance for Cellular Signaling Plasmid Collection: A Flexible Resource for Protein Localization Studies and Signaling Pathway Analysis

Cellular responses to inputs that vary both temporally and spatially are determined by complex relationships between the components of cell signaling networks. Analysis of these relationships requires access to a wide range of experimental reagents and techniques, including the ability to express the protein components of the model cells in a variety of contexts. As part of the Alliance for Cellular Signaling, we developed a robust method for cloning large numbers of signaling ORFs into Gateway® entry vectors, and we created a wide range of compatible expression platforms for proteomics applications. To date, we have generated over 3000 plasmids that are available to the scientific community via the American Type Culture Collection. We have established a website at www.signaling-gateway.org/data/plasmid/ that allows users to browse, search, and blast Alliance for Cellular Signaling plasmids. The collection primarily contains murine signaling ORFs with an emphasis on kinases and G protein signaling genes. Here we describe the cloning, databasing, and application of this proteomics resource for large scale subcellular localization screens in mammalian cell lines

Reducing the environmental impact of surgery on a global scale: systematic review and co-prioritization with healthcare workers in 132 countries

Abstract Background Healthcare cannot achieve net-zero carbon without addressing operating theatres. The aim of this study was to prioritize feasible interventions to reduce the environmental impact of operating theatres. Methods This study adopted a four-phase Delphi consensus co-prioritization methodology. In phase 1, a systematic review of published interventions and global consultation of perioperative healthcare professionals were used to longlist interventions. In phase 2, iterative thematic analysis consolidated comparable interventions into a shortlist. In phase 3, the shortlist was co-prioritized based on patient and clinician views on acceptability, feasibility, and safety. In phase 4, ranked lists of interventions were presented by their relevance to high-income countries and low–middle-income countries. Results In phase 1, 43 interventions were identified, which had low uptake in practice according to 3042 professionals globally. In phase 2, a shortlist of 15 intervention domains was generated. In phase 3, interventions were deemed acceptable for more than 90 per cent of patients except for reducing general anaesthesia (84 per cent) and re-sterilization of ‘single-use’ consumables (86 per cent). In phase 4, the top three shortlisted interventions for high-income countries were: introducing recycling; reducing use of anaesthetic gases; and appropriate clinical waste processing. In phase 4, the top three shortlisted interventions for low–middle-income countries were: introducing reusable surgical devices; reducing use of consumables; and reducing the use of general anaesthesia. Conclusion This is a step toward environmentally sustainable operating environments with actionable interventions applicable to both high– and low–middle–income countries

Eating Behaviour Predicts Weight Loss Six Months after Bariatric Surgery: A Longitudinal Study

Bariatric surgery is currently the most durable weight loss solution for patients with morbid obesity. The extent of weight loss achieved, however, is subject to variation due to various factors, including patients’ behaviour. In this study, we aimed to identify pre- and post-surgical predictors of weight loss following bariatric surgery. This prospective study included 57 participants who went through bariatric surgery (laparoscopic Roux-en-Y gastric bypass: n = 30; laparoscopic sleeve gastrectomy: n = 23; one anastomosis gastric bypass-mini gastric bypass: n = 4) in two tertiary referral hospitals. Consenting participants were assessed prior to surgery (T0), and three months (T1) and six months (T2) after surgery. The assessment included interview and anthropometric measurements. The interview was done with the aid of instruments, including the Hospital Anxiety and Depression Scale (HADS) for anxiety and depression screening and the Dutch Eating Behaviour Questionnaire (DEBQ) for eating behaviour assessment. Baseline comorbidity status was obtained from medical records. A Generalised Estimating Equation (GEE) was developed to determine predictors of weight loss. Participants in the study were mostly women (n = 37, 65%) with a mean age of 39.4 (SD = 10.01) years. The mean excess BMI loss (EBMIL) and total weight loss (TWL) at the sixth month was 63.31% and 23.83%, respectively. Anxiety, depression, and external eating scores reduced over time. Advancing age, high BMI, and higher scores for emotional and external eating emerged as significant negative predictors for TWL%. It can be concluded that the patients experienced substantial weight loss after surgery. Continuous monitoring of psychological well-being and eating behaviour are essential for optimal weight loss