2,580 research outputs found

    A prospective randomised control trial to study the role of intra-peritoneal instillation of ropivacaine versus normal saline irrigation in reduction of post-operative pain in patients undergoing laparoscopic cholecystectomy.

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    The study was done to compare the effect of intra-peritoneal instillation of ropivacaine versus normal saline irrigation on post operative abdominal pain and shoulder pain in laparoscopic cholecystectomy. Ninety patients with symptomatic gall stones disease undergoing laparoscopic cholecystectomy were randomized in three groups. In study group A (n=30 patients) 0.5% of 30 ml (150 mg) of ropivacaine was instilled at gall bladder bed, and in study group B (n=30) 0.9% of 25 – 30 ml/kg of normal saline irrigation was done at gall bladder bed and sub-diaphragmatic space or control group C (n=30) none of above two intervention was done. Pain abdomen is worse during first 24 hours after laparoscopic cholecystectomy. At 6 hours pain abdomen was significantly less in group A compared to group B (p<.035). At 12 hours pain abdomen was less in group A and group B compared to control group. Intensity of shoulder tip pain was almost similar in group A and group B. Group A experienced significantly reduced shoulder tip pain at 6hours and 12 hours as compared to group C. Group B experienced less shoulder tip pain during first postoperative day as compared to control group. Intra-peritoneal instillation of ropivacaine is more effective than normal saline irrigation at early post-operative hours in reducing post-operative pain abdomen after laparoscopic cholecystectomy. However, intra-peritoneal instillation of ropivacaine and normal saline irrigation are comparable in its effect on shoulder tip pain

    Search for Excited Quarks in qqˉ→γγq\bar{q} \to \gamma\gamma at the LHC

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    If quarks are composite particles, then excited states are expected to play a r\^ole in the Large Hadron Collider phenomena. Concentrating on virtual effects, and using a large part of the CMS detection criteria, we present here a realistic examination of their effect in diphoton production at the LHC. For various luminosities, we present the 99 % confidence limit (CL) achievable in Λ−Mq∗\Lambda-M_{q*} parameter space where Λ\Lambda is the compositeness scale and M_{q^*} the mass of the state. For a q^* of mass 0.5 TeV, Λ≤1.55(2.95)\Lambda \leq 1.55 (2.95) can be excluded at 99% CL with 30 (200)fb−1{\rm fb}^{-1} integrated luminosity.Comment: 11 pages, 11 figure

    Strategic determinants of big data analytics in the AEC sector: a multi-perspective framework

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    With constant flow of large data sets generated by different organisations, big data analytics promises to be a revolutionary game changer for Architecture, Engineering and Construction (AEC) industry. Despite the potential of Big Data, there has been little research conducted thus far to understand the Big Data phenomenon, specifically in the AEC industry. The objective of this research therefore is to understand the contributing factors for adopting big data in AEC firms. The investigation combined the perceived strategic value of BDA with the TOE framework (technology, organization, and environment), to develop and test a holistic model on big data adoption. A set of hypotheses derived from the extant literature was tested on data from structured surveys of about 365 firms, categorised as construction service firms (engineering and architecture) and construction firms (firms engaged in managing construction projects). The results indicated that the inhibitors and facilitators of BDA adoption are different in the construction services (architecture and engineering) and construction firms. For effective adoption of BDA solutions, the findings will guide the business managers to have realistic expectations of BDA integration challenges in AEC sector

    Plant growth-promoting rhizobacteria induced resistance in Jatropha curcas through phenyl propanoid metabolism against Rhizoctoniabataticola

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    The root rot disease in Jatropha curcas L. caused by Rhizoctonia. bataticola (Taub.) Butler has been recorded in causing 10-12 per cent mortality of 20-30 days old seedlings of Jatropha curcasin southern Haryana. The incidence of this disease has also been observed from other parts of Haryana too. Induction of systemic resistance in host plants through microbes and their bioactive metabolites are attaining popularity in modern agricultural practices. Studies on the plant growth-promoting rhizobacteria induced resistance in Jatropha curcas through phenyl propanoid metabolism against Rhizoctoniabataticola were undertaken at Chaudhary Charan Singh, Haryana Agricultural University, Regional Research Station, Bawal. Three plant growth-promoting rhizobacteria (PGPRs) viz., Pseudomonas maltophila, Pseudomonas fluorescens and Bacillus subtilis were evaluated for their potential to induce systemic resistance in Jatropha against root rot. The maximum increase of 97 per cent in total phenols, 120 per cent in peroxidase, 123 per cent in polyphenol oxidase, 101 per cent in phenylalanine ammonia lyase and 298 per cent in tyrosine ammonia lyase was detected in plants raised with Pseudomonas fluorescens+ Rhizoctoniaba-taticola inoculation in Jatropha curcas at 10 days post inoculation against control except total phenols where it was maximum (99%) at 30 DPI. There was slight or sharp decline in these parameters with age irrespective of inoculations. The pathogen challenged plants showed lower levels of total phenols and enzymes. The observations revealed that seed bacterization with Pseudomonas fluorescens results in accumulation of phenolics and battery of enzymes in response to pathogen infection and thereby induce resistance systemically

    Design and fabrication of variable steering ratio mechanism for light Motor vehicle

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    To facilitate easy and proper steering of the vehicle while negotiating a turn, as per the requirements of driver in different situations like hair pin bends in hilly regions, sudden turns in highways and city streets or in sports car during race events an improved steering system is needed to address these problems. The steering arrangement used in a normal automobile was investigated and to solve the above problems a variable steering ratio mechanism was designed and fabricated, with the aim to determine if incorporation of variable steering ratio mechanism will make an improvement in the steady and transient state handling of the automobile. The size of the pinion gear and the number of teeth on the gear determine the rack-and-pinion steering ratio. The steering wheel must be turned one revolution to turn the front wheels one sixteenth of a turn, the steering ratio is 1 to 1/16. Reversing the numbers gives a ratio of 16 to 1, or 16:1. This steering ratio is always fixed. A variable steering ratio mechanism was fabricated by using constant mesh type gears from Bajaj-Super and steering mechanism from Tata-Nano. Gear housing using wood is created and gear shifting arrangement incorporated. It was observed that on engaging the 1st gear steering ratio is increased to 9.92:1. On engaging the 2nd gear steering ratio is increased to 7.20:1, On engaging the 3rd gear steering ratio is increased to 4.96:1 On engaging the 4th gear steering ratio is increased to 3.52:1. The effort required for steering is increased due to these ratios as energy is lost due to friction. This mechanism can only be practical if used in conjugation with power assist.   Keywords: - Variable Steering Ratio Mechanism, Constant Mesh Gear Box, Steering Wheel, Power Assis

    Understanding the corpus of mobile payment services research: an analysis of the literature using co-citation analysis and social network analysis

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    Mobile Payment Services have advanced in the last two decades, gaining the attention of experts and researchers from around the world. A number of reviews and literature analysis studies have been carried out, aimed at analysing the numerous dimensions of mobile payment services; however, no researcher has attempted a co-citation analysis to scrutinise and comprehend the core knowledge structures that are integral parts of mobile payment services studies. Therefore, in order to fill this research gap, this research article aims to interpret the corpus of mobile payment services research, which was published during the period of 1997 to June 2017. Bibliometric and Social Network Analysis (SNA) methods were employed to formulate the core intellectual structure of research targeting mobile payment services. The Web of Knowledge (WoK) database was the key source from where 406 articles and 3,424 citations were obtained. These documents were analysed using co-citation analysis. UCINET was used to enlist the keynote research papers in the realm of mobile payment services as per factor analysis, citation and co-citation analysis, multidimensional scaling and centrality measurement. Seven core clusters of mobile payment services research emerged as a critical finding of this study; these clusters include (1) Adoption and usage; (2) Trust, risk and security; (3) Application; (4) Scheme; (5) Protocol; (6) Architecture; (7) Mobile payment corporation. The findings of this research study provide crucial guidelines for practitioners and researchers involved in this field.Mobile Payment Services have advanced in the last two decades, gaining the attention of experts and researchers from around the world. A number of reviews and literature analysis studies have been carried out, aimed at analysing the numerous dimensions of mobile payment services; however, no researcher has attempted a co-citation analysis to scrutinise and comprehend the core knowledge structures that are integral parts of mobile payment services studies. Therefore, in order to fill this research gap, this research article aims to interpret the corpus of mobile payment services research, which was published during the period of 1997 to June 2017. Bibliometric and Social Network Analysis (SNA) methods were employed to formulate the core intellectual structure of research targeting mobile payment services. The Web of Knowledge (WoK) database was the key source from where 406 articles and 3,424 citations were obtained. These documents were analysed using co-citation analysis. UCINET was used to enlist the keynote research papers in the realm of mobile payment services as per factor analysis, citation and co-citation analysis, multidimensional scaling and centrality measurement. Seven core clusters of mobile payment services research emerged as a critical finding of this study; these clusters include (1) Adoption and usage; (2) Trust, risk and security; (3) Application; (4) Scheme; (5) Protocol; (6) Architecture; (7) Mobile payment corporation. The findings of this research study provide crucial guidelines for practitioners and researchers involved in this field

    A Study of the Applications of Data Mining Techniques in Higher Education

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    Data mining is used to extract meaningful information and to develop significant relationships among variables stored in large data set. Few years ago, the information flow in education field was relatively simple and the application of technology was limited. However, as we progress into a more integrated world where technology has become an integral part of the business processes, the process of transfer of information has become more complicated. Today, one of the biggest challenges that educational institutions face is the explosive growth of educational data and to use this data to improve the quality of managerial decisions and student’s performance. The main objective of higher education institutions is to provide quality education to its students. One way to achieve highest level of quality in higher education system is by discovering knowledge for prediction regarding enrolment of students in a particular course, alienation of traditional classroom teaching model, detection of Unfair means used in online examination, detection of abnormal values in the result sheets of the students, prediction about students’ performance. The paper aims to purpose the use of Data mining techniques to improve the efficiency of higher educational institutions. If data mining techniques such as clustering, dicision tree and association can be applied to higher education processes, it can help improve student’s performance

    Design & Fabrication of Manually Driven Pedal Powered Washing Machine

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    Cloth washing is one of the essential parts of the life but it is considered undesirable because of the involvement of efforts, time, energy and cost. Nowadays a wide variety of washing machines are available in the market and there is a tough competence among the manufacturers. The cost of washing machine varying from Rs.10,000 to 1,50,000 depending upon features and capabilities. Very costly washing machines are equipped with facility of dry cleaning too. All of the washing machines available in the market are electric power driven and basic principle of their operation depends upon creation of the turbulent flow of detergent around the dirty clothes. Drying of the clothes is based upon rotation of wet clothes at very high rpm so that water droplets can be separated out due to centrifugal action. In our country where approximately 70% population is living with very poor economic status, those people cannot have a washing machine because of cost constraints and unavailability of electricity due to any reason. The present work is an attempt to develop a concept to make a cloth washing mechanism which can meet out the requirements of above mentioned 70% population of the nation. Working principle of this concept is no more different from available similar type of machine with a difference driving mechanism of the machine. The objective of bringing down the initial cost and operating cost of washing machine is almost achieved in present work within the limitation of work as mentioned. Key word: CWT, CEA, 1. Introductio
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