17 research outputs found

    GSM Based Display ToolKit

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    Wireless communication has announced its arrival on big stage and the world is going mobile. We want to control everything and without moving an inch. This remote control of appliances is possible through Embedded Systems. The use of “Embedded System in Communication” has given rise to many interesting applications that ensures comfort and safety to human life. The main aim of the project will be to design a SMS driven automatic display toolkit which can replace the currently used programmable electronic display. It is proposed to design receive cum display toolkit which can be programmed from an authorized mobile phone. The message to be displayed is sent through a SMS from an authorized transmitter. The toolkit receives the SMS, validates the sending Mobile Identification Number (MIN) and displays the desired information after necessary code conversion. The system is made efficient by using ‘clone’ SIMs of same MIN in a geographical area so that the same SMS can be received by number of display boards in a locality using techniques of time division multiple access. Started of as an instantaneous News display unit, we have improved upon it and tried to take advantage of the computing capabilities of microcontroller. We envision a toolkit that will not only display message but also can be used to do some mechanical work

    A CLINICAL STUDY ON MANAGEMENT OF STRESS IN TYPE -2 DIABETES MELLITUS (MADHUMEHA) WITH ASHWAGANDHA (WITHANIA SOMNIFERA)

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    Extensive worldwide research on diabetes has established the complexities of the relationship between stress and diabetes. Evidence suggests that stress can affect diabetes, in terms of both its onset and exacerbation. Stress can have a deleterious effect on glycaemic control and can affect quality of life in diabetics. On the other hand emerging evidence strongly suggests that interventions that help individuals prevent or cope with stress can have an important positive effect on quality of life and glycaemic control.In this clinical study we have approached to assess the different stresses like Emotional burden, Physician related distress, Regimen related distress & Interpersonal distress in Type – 2 diabetic populations with Diabetes Distress Scale (DDS). Those diabetics having a considerable stress level (DDS Score > 3) were given treatment with Ashwagandha (Withania somnifera) capsules for six weeks and once again their stress level was reassessed.Ashwagandha significantly reduced the stress level and other stress related complains along with a better glycemic control as compared to placebo without any adverse effect. The positive effect of the drug also continued for another six weeks even after withdrawing the medication.Therefore Ashwagandha can offer comprehensive benefits as an adjuvant in Type – 2 diabetics suffering from stress

    Retrospective analysis of endoscopic retrograde cholangio pancreatography (ERCP) procedures in a tertiary care centre in coastal Odisha

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    Background: ERCP is commonly performed for radiologic visualisation and therapeutic procedure for treating various pancreatico-biliary disorders. There is no comprehensive data available till date about ERCP procedures from Odisha. The aim of this study was to review the indications and complications of endoscopic retrograde cholangiopancreatography (ERCP) procedures in a tertiary care centre in Odisha.Methods: From July 2013 to December 2016, consecutive patients undergoing ERCP procedure were included in the study. Patients with any previous papillary intervention like papillotomy, sphincterotomy or stent placement were excluded from the study. Patients’ demographic characters, ERCP indications and post-ERCP complications were reviewed.Results: Three hundred and fourteen patients were included in the study. Among them male patients were 161 and females were 153. Mean age was 50.75 years and the age range was 18 to 82 years. Most common indications for ERCP was malignant obstructive jaundice (N = 171, 54%) and choledocholithiasis (N = 137, 43.6%). Post ERCP complications developed in 25 patients (8%). Pancreatitis was the most common post-ERCP complication.Conclusions: ERCP is a safe procedure. ERCP complications in our centre are similar to those reported from other centres

    STAR (Survey for ManagemenT of DiAbetes with FibeR-rich Nutrition Drink): A Pan India Survey to Understand the Physician and Patient Perspective Regarding the Role of Dietary Fiber Supplement in the Management of Type 2 Diabetes

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    Objectives: The aim of the STAR survey was to understand the physicians’ knowledge, attitude and perception regarding the role of nutritional dietary fiber supplements in the daily management of type 2 diabetes mellitus (T2DM). It also aimed to compare the changes in glycemic parameters as well as energy and satiety levels between patients taking a high-fiber supplement and those not taking a fiber supplement. Methods: Two cross-sectional pan-India surveys were conducted. The first was among 152 physicians who had >5 years of experience in treating patients with T2DM and treated >50 patients with T2DM per month. A self-administered paper-based questionnaire was used for the survey. The other survey was conducted among 3,042 patients with T2DM who were receiving treatment with antidiabetics. These patients were further categorized into the Horlicks Diabetes Plus (HDP) group, which consisted of 1,524 patients who had consumed the HDP fiber supplement for a minimum of 3 months and the non-HDP group, which included 1,518 patients who had never consumed HDP. Results: Almost all physicians prescribed fiber-rich nutritional supplements to their patients with T2DM and believed that dietary fiber has an important role in managing glycated hemoglobin (HbA1c) values, healthy weight and cholesterol levels. Among the main benefits of HDP seen by physicians were improvement in satiety levels and increase in physical activity, reduction in HbA1c, fasting and postprandial glucose, and reduction in dose and/or number of hypoglycemic medications. All physicians recommended that it was important to increase awareness among patients as well as doctors regarding the benefits of HDP in patients with T2DM. Patients in the HDP group reported a mean decrease of 0.72 in their HbA1c value which was statistically significant at 3 months (8.04 at baseline to 7.32 at 3 months). In contrast, the non-HDP group showed a non-statistically significant decrease of 0.61 in HbA1c from a baseline value of 8.15. Furthermore, patients reported a significant decrease in weight of 3 kg in 3 months from baseline value of 72.11 kg to 69.11 kg. This reduction in weight was observed in 82% patients in the HDP group, while the non-HDP group showed an insignificant weight reduction from a baseline value of 72.14 kg to 71.46 kg in 3 months. About 83% of patients reported feeling full for longer periods of time and 92.62% reported feeling more energetic after starting HDP. The compliance and satisfaction rates with HDP were 96% and 75%, respectively. Conclusion: A high-fiber supplement taken along with patients’ existing antidiabetic treatment plan has the potential to decrease glycemic parameters and weight while increase the satiety and energy levels among patients with T2DM. However, these results need to be evaluated further with long-term clinical studies conducted in the real world.&nbsp

    A Practitioner’s Toolkit for Insulin Motivation in Adults with Type 1 and Type 2 Diabetes Mellitus: Evidence-Based Recommendations from an International Expert Panel

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    Aim To develop an evidence-based expert group opinion on the role of insulin motivation to overcome insulin distress during different stages of insulin therapy and to propose a practitioner’s toolkit for insulin motivation in the management of diabetes mellitus (DM). Background Insulin distress, an emotional response of the patient to the suggested use of insulin, acts as a major barrier to insulin therapy in the management of DM. Addressing patient-, physician- and drug-related factors is important to overcome insulin distress. Strengthening of communication between physicians and patients with diabetes and enhancing the patients' coping skills are prerequisites to create a sense of comfort with the use of insulin. Insulin motivation is key to achieving targeted goals in diabetes care. A group of endocrinologists came together at an international meeting held in India to develop tool kits that would aid a practitioner in implementing insulin motivation strategies at different stages of the journey through insulin therapy, including pre-initiation, initiation, titration and intensification. During the meeting, emphasis was placed on the challenges and limitations faced by both physicians and patients with diabetes during each stage of the journey through insulinization. Review Results After review of evidence and discussions, the expert group provided recommendations on strategies for improved insulin acceptance, empowering behavior change in patients with DM, approaches for motivating patients to initiate and maintain insulin therapy and best practices for insulin motivation at the pre-initiation, initiation, titration and intensification stages of insulin therapy. Conclusions In the management of DM, bringing in positive behavioral change by motivating the patient to improve treatment adherence helps overcome insulin distress and achieve treatment goals

    Packet pacer : an application over NetBump

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    Many ideas for adding innovative functionalities to networks require either modifying packets or performing alternative queuing to packets in flight on the data- plane. Modifications to existing network is difficult and often faced with hindrance like ease of deployability and ability to test with production-like traffic. NetBump is a platform for experimenting, evaluating and deploying these ideas with minimal intrusiveness, while leaving the switches and endhosts unmodified. In this thesis, we evaluate TCP packet pacing as an application over NetBump. We propose a modified token bucket implementation which accurately estimates the token requirement for sustained well-paced TCP flow, thus smoothing the bursty behavior. We were able to able to monitor various crucial features of the TCP flow and take informed decisions to pace the out going flow. Finally, we perform micro-benchmarks to see the effect of pacing. In general, our packet pacer implementations reduces the number of buffer overflows. Specifically, the modified token bucket implementation performs the best with zero buffer overflow

    Automatic Detection of Oral Squamous Cell Carcinoma from Histopathological Images of Oral Mucosa Using Deep Convolutional Neural Network

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    Worldwide, oral cancer is the sixth most common type of cancer. India is in 2nd position, with the highest number of oral cancer patients. To the population of oral cancer patients, India contributes to almost one-third of the total count. Among several types of oral cancer, the most common and dominant one is oral squamous cell carcinoma (OSCC). The major reason for oral cancer is tobacco consumption, excessive alcohol consumption, unhygienic mouth condition, betel quid eating, viral infection (namely human papillomavirus), etc. The early detection of oral cancer type OSCC, in its preliminary stage, gives more chances for better treatment and proper therapy. In this paper, author proposes a convolutional neural network model, for the automatic and early detection of OSCC, and for experimental purposes, histopathological oral cancer images are considered. The proposed model is compared and analyzed with state-of-the-art deep learning models like VGG16, VGG19, Alexnet, ResNet50, ResNet101, Mobile Net and Inception Net. The proposed model achieved a cross-validation accuracy of 97.82%, which indicates the suitability of the proposed approach for the automatic classification of oral cancer data

    Critical Benchmarking of the G4(MP2) Model, the Correlation Consistent Composite Approach and Popular Density Functional Approximations on a Probabilistically Pruned Benchmark Dataset of Formation Enthalpies

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    First-principles calculation of the standard formation enthalpy, ΔHf0\Delta H_f^0~(298K), in such large scale as required by chemical space explorations, is amenable only with density functional approximations (DFAs) and some composite wave function theories (cWFTs). Alas, the accuracies of popular range-separated hybrid, `rung-4\u27 DFAs, and cWFTs that offer the best accuracy-vs.-cost trade-off have as yet been established only for datasets predominantly comprising small molecules, hence, their transferability to larger datasets remains vague. In this study, we present an extended benchmark dataset of over two-thousand values of ΔHf0\Delta H_f^0 for structurally and electronically diverse molecules. We apply quartile-ranking based on boundary-corrected kernel density estimation to filter outliers and arrive at Probabilistically Pruned Enthalpies of 1908 compounds (PPE1908). For this dataset, we rank the prediction accuracies of G4(MP2), ccCA and 23 popular DFAs using conventional and probabilistic error metrics. We discuss systematic prediction errors and highlight the role an empirical higher-level correction (HLC) plays in the G4(MP2) model. Furthermore, we comment on uncertainties associated with the reference empirical data for atoms and systematic errors introduced by these that grow with the molecular size. We believe these findings to aid in identifying meaningful application domains for quantum thermochemical methods

    All Hands on Deck: Accelerating Ab Initio Thermochemistry via Wavefunction Approximations

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    We accelerate the G4(MP2) composite model by fine-tuning the individual steps using resolution-of-identity and domain‐based local pair‐natural orbitals. The new variant, G4(MP2)-XP, has a low prediction error when tested on 1694 benchmark molecules. To showcase the method\u27s relevance for large molecules, we determine and present a new reference value for the standard formation enthalpy of buckminsterfullerene. We expect G4(MP2)-XP to become the de facto method for rapid and accurate production of thermochemistry big data.</div
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