466 research outputs found

    Zeolites: An Emerging Material for Gas Storage and Separation Applications

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    Zeolites are one of the amazing materials available in nature because of their structural pores. Interestingly, these god-gifted properties of zeolite can be used in gas separation and storage application. Actually, hydrogen separation and its storage are now a thrust research area. Hydrogen is considered as a ‘clean energy,’ which is indispensable for global affluence and alternative energy for future. But hydrogen is not accessible in its pure form during the industrial synthesis process and comes out with some other impurities like CO2 (GHG) and other gases. So, the production of carbon-free hydrogen and its storage is so much vital. In conventional technologies, few concerns are always existed during gas separation and also in storage process. Recently, membrane-based separation process is a highly demanding technology in the industry and shows some advantages as compared to conventional process. Based on this concept, in this chapter, three different types of zeolites, that is, DDR, SAPO 34, and Bikitaite are highlighted. Here, we described the advanced synthesis process and the mechanism towards the development of high-quality nearly defect-free membranes on cheaper support. Finally, the evaluation of membranes is described through gas permeation and selectivity results of different single gas and mixture gas composition. In addition, storage capacity of H2 by zeolite/surface-modified zeolites is included in this chapter

    A Study On Applications And Techniques Of Surface Re- Construction

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    This paper describes a general method for automatic reconstruction of accurate, concise, piecewise smooth surfaces from unorganized 3D points. Instances of surface reconstruction arise in numerous scientific and engineering applications, including reverseengineering, the automatic generation of CAD models from physical objects etc. Previous surface reconstruction methods have typically required additional knowledge, such as structure in the data, known surface genus, or orientation information. In contrast, the method outlined in this paper requires only the 3D coordinates of the data points. From the data, the method is able to automatically infer the topological type of the surface, its geometry, and the presence and location of features such as boundaries, creases, and corners. The surface reconstruction method has three major phases: Initial surface estimation, Mesh optimization, and piecewise smooth surface optimization. In this paper emphasis has been given on the initial surface estimation

    Oral premedication for pediatric anaesthesia: a comparison between midazolam and clonidine

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    Background:In children any anticipated surgery is associated with profound psychological stress to the patients. To allay this stress and anxiety, wide variety of pharmacological interventions are used.Methods: A prospective observational study was carried out between July’2005 and June’2006 in a tertiary care hospital in Assam. The study included children undergoing surgery under general anaesthesia in age group 2-10 years. Sixty children were divided into two groups, in one group patients received oral midazolam and other group received oral clonidine as pre-medicant.Results: In the midazolam group 23 (76.67%) children had no apprehension after parental separation and at induction (P˂0.001), sedation score at induction was significant higher in midazolam group versus clonidine group (93.33% versus 66.6%, P<0.01), clonidine resulted in a more stable pulse and blood pressure peri-operatively (P<0.05).Conclusion: Oral midazolam has better efficacy in terms of preoperative sedation and oral clonidine had stable hemodynamic profile and better analgesia in the clonidine group

    Designing a Forward Convertor with Transformer Reset and Synchronous Rectification

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    The use of an active clamp circuit over the famous RCD clamp is due to its superiority for its better efficiency, more duty cycle, lower current stress and no energy dissipation as the magnetising current is recycled and used again. The use of the transformer instead of the normal buck converter is because by using a transformer the voltage can be stepped down to quite a low value, i.e. more than 2 times less of the input voltage which was not possible in the buck converter. The use of synchronous rectification is to increase the efficiency of the system, as the body diode conduction losses are quite low for a Mosfet and thus less heat produced in using that. The circuit for a forward converter with an active clamp and transformer reset is made with the synchronous rectificatio

    Quantum Zeno and anti-Zeno effects in the dynamics of non-degenerate hyper-Raman processes coupled to two linear waveguides

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    The effect of the presence of two probe waveguides on the dynamics of hyper-Raman processes is studied in terms of quantum Zeno and anti-Zeno effects. Specifically, the enhancement (diminution) of the evolution of the hyper-Raman processes due to interaction with the probe waveguides via evanescent waves is viewed as quantum Zeno (anti-Zeno) effect. We considered the two probe waveguides interacting with only one of the optical modes at a time. For instance, as a specific scenario, it is considered that the two non-degenerate pump modes interact with each probe waveguide linearly while Stokes and anti-Stokes modes do not interact with the probes. Similarly, in another scenario, we assumed both the probe waveguides interact with Stokes (anti-Stokes) mode simultaneously. The present results show that quantum Zeno (anti-Zeno) effect is associated with phase-matching (mismatching). However, we did not find any relation between the presence of the quantum Zeno effect and antibunching in the bosonic modes present in the hyper-Raman processes.Comment: Dynamics of hyper-Raman processes is studied in terms of quantum Zeno and anti-Zeno effect

    Some Aspects of Phase Transformation in Near-Equiatomic Niobium--Ruthenium Alloys.

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    A Queuing model for Dealing with Patients with Severe Disease

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    This paper suggests a proposed single server queueing model for severe diseases especially in Out-patient Department. The Outpatient Department of a hospital is visited by patients of all types ofdisease. Some of these diseases require immediate medical attention as severe complications may ariseif treatment is delayed. The goal of the study was to develop a queueing model considering patientswith severe disease and to study the improvement in the service time using the model. The singleserver queueing model was modied and analyzed. The eciency of the model was tested by usingoutpatient medical service, arrivals and departure of patients over a period of one year of a localhospital in Guwahati. The result indicated the average outpatient medical service response times forservice improve over the general model

    MAN-SUMER-ISM IN RETAIL: AN EMPIRICAL STUDY FROM EMERGING RETAIL FORMATS OF URBAN ODISHA

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    When it comes to shopping in-store, both genders vehemently agree that long lines to check out hinder their enjoyment when it comes time for some retail therapy. Since the term “mansumer” was coined in December 2012, retailers have worked to identify how purchasing patterns differ between women and men. The rise of e-tail has leveled the playing field between male and female shoppers. The Mansumer Myth states that retailers falsely belief that men should be treated differently than women because they are more efficient and concerned about time, they are not influenced by browsing and they make logical rather than emotional decisions. Everything from advertising style, message, and media, to product design, store layout, sales training, and customer service policies are designed to appeal specifically to both sexes. Failure to address the idiosyncrasies of gender can have real financial consequence for retailers. The purpose of this study is to compare men and women for differences in shopping from emerging retail formats

    Growth trends and forecasting of fish production in Assam, India using ARIMA model

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    Fish is an essential component of the diet of the most populace in Assam and fish farming has been one of the sources of livelihood in rural areas. Assam ranks first in fish production among North-eastern states of India. However, fish production is not sufficient to meet the demand despite having vast aquatic resources in the state. The present study was undertaken to determine the decadal growth of fish production in the state using the compound growth rate. The study also attempted modeling and forecasting of fish production in Assam using Auto-Regressive Integrated Moving Average (ARIMA) methodology. For the present study, time-series data on fish production in Assam from 1980-81 to 2018-19 was obtained from the Directorate of Fisheries, Government of Assam. Data for the period 1980-81 to 2014-15 was utilized to build an ARIMA model and validated through the remaining data from 2015-16 to 2018-19. The best suitable model for the state’s fish production was ARIMA (1,1,0) based on the values of the model selection criterion. The actual fish production and forecast values using a fitted model were in close agreement. The out-of-sample forecast values of fish production in the state for the subsequent years 2019-20 to 2022-23 showed an increasing trend from 336.97 to 358.21 thousand metric tonnes. Considering the vast aquatic resources in the state, the study calls for serious attention by policymakers, researchers, and developmental agencies for harnessing the potential of fisheries resources for making the North-east region self-sufficient in fish production as a whole and Assam in particular.
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