84 research outputs found

    Comparison of Cylindrical Boundary Pasting Methods

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    Surface pasting is an interactive hierarchical modelling technique used to construct surfaces with varying levels of local detail. The concept is similar to that of the physical process of modelling with clay, where features are placed on to a base surface and attached by a smooth join obtained by adjusting the feature. Cylindrical surface pasting extends this modelling paradigm by allowing for two base surfaces to be joined smoothly via a blending cylinder, as in attaching a clay head to the body using a neck. Unfortunately, computer-based pasting involves approximations that can cause cracks to appear in the composite surface. In particular this occurs when the pasted feature boundary does not lie exactly over the user-specified pasting region on the base surface. Determining pasted locations for the feature boundary control points that give a close to exact join is non-trivial, especially in the case of cylinders as their control points can not be defined to lie on their closed curve boundary. I propose and compare six simple methods for positioning a feature cylinder's control points such that the join boundary discontinuities are minimized. The methods considered are all algorithmically simple alternatives having low computational costs. While the results demonstrate an order of magnitude quality improvement for some methods on a convex-only curved base, as the complexity of the base surface increases, all the methods show similar performance. Although unexpected, it turns out that a simple mapping of the control points directly onto the pasting closed curve given on the base surface offers a reasonable cylindrical boundary pasting technique

    Do Bulls and Bears Understand Exchange Rate Dynamics? Evidence from Global Scenario

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    The motivation of the present study to investigate and understand the correlation of adjusted closing prices of forex and index (EUR/INR, GDP/INR, Nifty50, CNXIT) which is traded at National Stock Exchange, India. The empirical analysis of three years of data with the help of E-views software. After investigation, it can conclude there is a steady correlation ship among the group. CNXIT having a more robust relationship with Forex as compare to Nifty50. It shows a short-run equilibrium relationship variable but, long-run equilibrium among variables, but shows a very strong co-relation among all the research variable (EUR/INR, GDP/INR, Nifty50, CNXIT. Due to above support it determine the unidirectional price detection dynamics. The co-integration test allows high degree of relationships among variables

    Endometrial hyperplasia and tubal ectopic: a correlation

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    Anovulation due to polycystic ovarian syndrome (PCOS) is one of the causes of endometrial hyperplasia in infertile women. Tubal ectopic apart from tubal factors can also be the result of hampered endometrial receptivity in these women which could be due to disturbed hormonal mileu, endometrial hyperplasia at cornua thereby interfering with transport of embryo from fallopian tube to uterus, or could be because of mechanical damage caused while taking endometrial biopsy. We are presenting case series of eight women of PCOS who presented to infertility clinic within two years with history of ectopic pregnancy or had subsequent ectopic pregnancy (after taking endometrial biopsy) with histopathology report of endometrial hyperplasia with or without atypia were enrolled. Out of 1200 PCOS women presenting to infertility clinic, eight women had coexistence of both endometrial hyperplasias and ectopic pregnancy. It is rare to find endometrial hyperplasias causing ectopic pregnancy. The causative factor in these cases could be the faulty endometrium by not being receptive thereby causing the embryo to implant in the fallopian tube or the tubes due to subtle infection secondary to repeated endometrial evaluation

    Exploring Multiple Paths using Link Utilization in Computer Networks

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    Though the speed of the Internet is increasing day-by-day, yet there is need of much higher speed. A lot of research is going on to receive any information from Internet just on a click. One way to have more efficient and robust Internet is to identify multiple paths for routing so that routers could flexibly divide traffic over these paths. Often having one or two more paths is generally enough for significant gains in terms of security, performance, and reliability of a network. However, one of the first barriers in multipath routing is to explore the multiple paths over which traffic can be diverted. The principle objective of this paper is to explore the multiple paths using link utilization factor. For this purpose a multi-path routing algorithm has been proposed that identifies multiple loop-free paths from single source to single destination using local information. The link utilizations factor used in this algorithm takes into account various metrics such as load, capacity and delay etc. The proposed technique identifies multiple paths which may not be over utilized

    COMPARATIVE EVALUATION OF THE EFFICACY OF THREE ANTI-OXIDANTS VS NAOCL AND EDTA: USED FOR ROOT CANAL IRRIGATION IN SMEAR LAYER REMOVAL–SEM STUDY

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    Objective: The aim of this study was to compare the efficacy of 3 Anti-Oxidants versus NaOCl and EDTA: used for root canal irrigation in smear layer removal by SEM analysis.Methods: Root canal treatment was performed on 100 single rooted teeth and the smear layer removing abilities of Neem, Triphala, Amla EDTA and Saline were checked by using them as the last irrigant.Results: EDTA and Amla showed the best smear layer removing ability followed by Neem and Triphala. Conclusion: Neem, Triphala and Amla showed the potential to remove the smear layer. EDTA showed the maximum efficacy in removing the smear layer.Â

    Successful outcome of pregnancy in a case of Guillain Barre syndrome-report of a rare case and review of literature

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    Guillain Barre syndrome (GBS) is a rare autoimmune neurological disorder that has been reported to carry a high maternal risk and maternal mortality risk of >10% if occurred during pregnancy. It is characterized by acute onset of symmetrical ascending paralysis with or without respiratory depression and autonomic dysfunction secondary to gastrointestinal or respiratory infection. This is case report of 30 years old multigravida who presented at 19 weeks period of gestation with sudden onset back pain and bilateral lower limb weakness that progressed to involve bilateral upper limbs with respiratory insufficiency.  Based on clinical presentation and relevant investigations like serum electrolyte, arterial blood gas analysis and nerve conduction studies, provisional diagnosis of GBS was made. In collaboration with the physician, she was managed with ventilator support for 12 days, intravenous immunoglobulin and supportive therapy. This was followed by complete and rapid recovery as she was extubated on 12th day and discharged on day 16. Patient was followed by strict maternal and fetal surveillance. She successfully delivered a healthy boy at 38 weeks of period of gestation by caesarean section done in view of meconium-stained liquor grade 3 in early labour and she was discharged on day 3 of LSCS.

    Assessment of Indian cooking practices and cookwares on nutritional security: A review

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    Food provides us nutrients and the energy required for growth, reproduction, and maintenance. Energy is required to perform all voluntary and involuntary activities like digestion, respiration, circulation, carrying out professional, household and recreational activities. Despite having rich food diversity, we are using only a few items as our staple food.  With the adoption of eastern cooking practices and cookwares, risk of both pre-and post-transitional diseases like diabetes, cardiovascular diseases, malnutrition, obesity, etc. has increased significantly. Aluminium toxicity and nutrients breakdown has become a common problem in pressure cooking. To overcome this problem, it is important to shift from the modernized cooking methods to our traditional cooking practices, i.e., use of earthen cookwares, clay pots and some selected metal utensils, e.g., copper, iron, brass, etc. It has been shown that earthen, copper, iron, and soapstone cookwares do not leach toxic trace elements into the food and enhance the sensory qualities without decreasing the food nutrients. Adoption of traditional Indian cooking practices (such as fermentation, roasting, germination, etc.), cookwares (such as earthen, copper, iron, soapstone, etc.) and increasing the consumption of healthy diet grains like millets, etc. can easily combat the pre- and post-transition health problems in India, effectively. This review would provide a deep understanding to the people to decide the best cookware and cooking processes that will improve their health and provide ample nutritional value to them

    IR2Vec: LLVM IR based Scalable Program Embeddings

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    We propose IR2Vec, a Concise and Scalable encoding infrastructure to represent programs as a distributed embedding in continuous space. This distributed embedding is obtained by combining representation learning methods with flow information to capture the syntax as well as the semantics of the input programs. As our infrastructure is based on the Intermediate Representation (IR) of the source code, obtained embeddings are both language and machine independent. The entities of the IR are modeled as relationships, and their representations are learned to form a seed embedding vocabulary. Using this infrastructure, we propose two incremental encodings:Symbolic and Flow-Aware. Symbolic encodings are obtained from the seed embedding vocabulary, and Flow-Aware encodings are obtained by augmenting the Symbolic encodings with the flow information. We show the effectiveness of our methodology on two optimization tasks (Heterogeneous device mapping and Thread coarsening). Our way of representing the programs enables us to use non-sequential models resulting in orders of magnitude of faster training time. Both the encodings generated by IR2Vec outperform the existing methods in both the tasks, even while using simple machine learning models. In particular, our results improve or match the state-of-the-art speedup in 11/14 benchmark-suites in the device mapping task across two platforms and 53/68 benchmarks in the Thread coarsening task across four different platforms. When compared to the other methods, our embeddings are more scalable, is non-data-hungry, and has betterOut-Of-Vocabulary (OOV) characteristics.Comment: Accepted in ACM TAC

    Influence of hospital policy on partograph use in tertiary care facilities in India: a cross sectional survey

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    Background: Partograph is an effective, but underutilized tool for monitoring labour. This study examined the influence of hospital policy on the knowledge, attitude, practice and skills of doctors towards partograph plotting.Methods: A cross-sectional survey among doctors posted in labour rooms of tertiary care public teaching hospitals of India was carried out, using self-administered questionnaire to assess knowledge, attitude and practice; and labour case scenarios were provided to assess partograph plotting skills. Chi-square test or Fisher’s exact test were employed to test the significance of association between knowledge, attitude, practice and skills of 150 doctors working in hospitals with (n=3) and without (n=2) policy of routine partograph plotting.Results: The majority of doctors in both groups had correct knowledge about different partograph components. However, doctors working in hospitals with a policy of partograph use, demonstrated significantly better skills using case scenarios for plotting partographs (p<0.01), and a positive attitude towards plotting partograph and its use as a decision support tool (p=0.000) as compared to doctors working in hospitals without a routine partograph plotting policy.Conclusions: Hospital policy of routine partograph plotting may positively influence utilization of partograph in tertiary care public hospitals in India

    Challenges and opportunities in mixed method data collection on mental health issues of health care workers during COVID-19 pandemic in India

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    Background: The present paper describes the key challenges and opportunities of mixed method telephonic data collection for mental health research using field notes and the experiences of the investigators in a multicenter study in ten sites of India. The study was conducted in public and private hospitals to understand the mental health status, social stigma and coping strategies of different healthcare personnel during the COVID-19 pandemic in India.Methods: Qualitative and quantitative interviews were conducted telephonically. The experiences of data collection were noted as a field notes/diary by the data collectors and principal investigators.Results: The interviewers reported challenges such as network issues, lack of transfer of visual cues and sensitive content of data. Although the telephonic interviews present various challenges in mixed method data collection, it can be used as an alternative to face-to-face data collection using available technology.Conclusions: It is important that the investigators are well trained keeping these challenges in mind so that their capacity is built to deal with these challenges and good quality data is obtained
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