Pump Affinity Laws Modified to Include Viscosity and Gas Effects

Lectur

Immunomodulatory effects of fruits of Barringtonia racemosa Linn.

Background: Barringtonia racemosa (B. racemosa) is used medicinally in treatment of diarrhoea, asthma, coughs, jaundice. It is also used as an analgesic and antipyretic. This plant has also significant anti-tumor activity. However, systematic evaluation of its immunomodulatory effects has not been reported. In present study the hydroalcoholic extract of fruits of B. racemosa has been evaluated for its immunomodulatory properties in animal models.Methods: Extract of Fruits of B. racemosa was prepared from fruit powder and methanol by macerations and filtration. Healthy albino Wistar rats of either sex having 110-160 g body weight were used for this study. 1. Delayed type hypersensitivity reaction (DTH) using Sheep red blood cells (SRBCs): After immunization with SRBC effect of cyclophosphamide and hydroalcoholic extract of B. racemosa was seen on paw volume changes in rats challenged with SRBC by using digital Plethysmometer. 2. Humoral antibody response to SRBC: Animas were immunized with SRBC and treated with cyclophosphamide and hydroalcoholic extract of B. racemosa. Serum of these animals was observed for haemagglutination titer.Results: Fruits extract at the dose of 5 mg/kg i.p. showed significant decrease in DTH response as compared to that of control group animals. However, the effect of extract was less potent as compared to that of cyclophosphamide treated group. In haemagglutination titer assay, antibody titer in case naïve control, SRBC treated, cyclophosphamide treated and extract treated groups was 1:1, 1:32, 1:8 and 1:16 respectively.Conclusions: The hydroalcoholic extract of this fruits was found to inhibit SRBCs induced DTH in rats. Similarly, SRBCs induced antibody titer was also reduced

Performance Evaluation and CFD Simulation of Multiphase Twin-Screw Pumps

Twin-screw pumps are economical alternatives to the conventional multiphase system and are increasingly used in the oil and gas industry due to their versatility in transferring the multiphase mixture with varying Gas Void Fraction (GVF). Present work focuses on the experimental and numerical analysis of twin-screw pumps for different operating conditions. Experimental evaluation aims to understand steady state and transient behavior of twin-screw pumps. Detailed steady state evaluation helped form better understanding of twin-screw pumps under different operating conditions. A comparative study of twin-screw pumps and compressors contradicted the common belief that compressor efficiency is better than the efficiency of twin-screw pumps. Transient analysis at high GVF helped incorporate necessary changes in the design of sealflush recirculation loop to improve the efficiency of the pump. The effect of viscosity of the sealflush fluid at high GVF on pump performance was studied. Volumetric efficiency was found to be decreased with increase in viscosity. Flow visualization was aimed to characterize phase distribution along cavities and clearances at low to high GVF. Dynamic pressure variation was studied along the axis of the screw which helped correlate the GVF, velocity and pressure distribution. Complicated fluid flow behavior due to enclosed fluid pockets and interconnecting clearances makes it difficult to numerically simulate the pump. Hence design optimization and performance prediction incorporates only analytical approach and experimental evaluation. Current work represents an attempt to numerically simulate a multiphase twin-screw pump as a whole. Single phase 3D CFD simulation was performed for different pressure rise. The pressure and velocity profile agreed well with previous studies. Results are validated using an analytical approach as well as experimental data. A two-phase CFD simulation was performed for 50% GVF. An Eulerian approach was employed to evaluate multiphase flow behavior. Pressure, velocity, temperature and GVF distributions were successfully predicted using CFD simulation. Bubble size was found to be most dominant parameter, significantly affecting phase separation and leakage flow rate. Better phase separation was realized with increased bubble size, which resulted in decrease in leakage flow rate. CFD results agreed well with experimental data for the bubble size higher than 0.08 mm

Further Evaluation of the Modified Affinity Laws for the Prediction of Viscosity Effect on the Pump Head Performance

LectureThe aforementioned abstract was accepted in the ASME Journal of Fluid Engineering and may cause copyright issues. The author wishes to submit this abstract and will get us a manuscript by May 1st if approved by the committee

Literature review on diabetic foot management by Abhyantar&Bahya application of Nyagrodhadi Kashaya w.s.r to Charak Sutrasthanokta Madhumeha.

Diabetes mellitus & its complications are one of the worrying health issues in this sedentary life style. Diabetic foot/ Pramehapidakais the most common complications of DM which is a type of chronic ulcer. If not treated well, it may go under gangrenous changes which can further leadto amputation of that particular body part.In Adhyaya 17th of Sutrasthana, Acharya Charaka has mentioned about Prameha pidaka which nearly resembles to Signs & symptoms of diabetic foot. Here, Acharya explains Avaranajanitmadhumeha, if not treated well, usually leads to formation of various pidaka.Bahudrava Shleshma being main important factor in pathogenesis of Prameha, we decided to study the effect of Abhyantar & Bahya application of Nyagrodhadi Kashaya Mentioned in VagbhataSutrasthan 15 -Shodhanadiganasangrahaadhyaya. Due to katu -tikta rasa&shitavirya properties of all components of this Kashaya,it can be helpful to mitigate the vitiated Kaphadosha involved in diabetic foot pathology

Economic dependence of forest fringe communities on threatened and near-threatened medicinal trees of Madhya Pradesh - the largest forest cover state of central India

People have a free access to the Non timber forest produce (NTFP) in the State of Madhya Pradesh, India barring only a few NTFP which are monopolized by the state for collection and trade. Because of such free access tenure, people and the policy makers have little appreciation for the provisional ecosystem services emanating from the state’s forests. Hence, a research study was conducted in Madhya Pradesh state of India during 2014-2015.This paper evaluates the dependence of the forest fringe communities on the already Threatened and Near-threatened Medicinal Tree resources (TNMTs) in the forests of the state for their health and livelihood requirements.This study was conducted in all the six eco-regions of the state after selecting the most forested divisions and purposely selected forest compartments and socio-economic surveys were conducted in the villages adjoining these forest compartments. The TNMTs of these compartments were fully enumerated in the selected compartments and their physical conditions were recorded. Focus group discussions and household surveys were conducted to study the dependence of forest fringe communities on TNMTs in the adjoining forests. The results show that contribution of direct forest income to the total annual household income was found to vary from 29.35% to 69.48% in forest divisions located in all the six eco-regions of the state. In all the six eco-regions, the percentage of households found to be dependent on forests for some or the other benefits ranged from 96% to 100%.  Almost all the TNMTs encountered during this survey were found facing threat of local extinction due to poor regeneration and many other factors at most of the forest sites. The authors have suggested some corrective measures for sustainable management of forest resources for the benefit of forest fringe community in the article

Pump Affinity Laws Modified to Include Viscosity and Gas Effects

Lectur

Secured Data Outsourcing in Cloud Computing

Cloud computing is a popular technology in the IT world. After internet, it is the biggest thing for IT world. Cloud computing uses the Internet for performing the task on the computer and it is the next- generation architecture of IT Industry. It is related to different technologies and the convergence of various technologies has emerged to be called as cloud computing. It places the application software and databases to the huge data centers, where the supervision of the data and services may not be fully trusted. This unique attribute poses many new security challenges which have not been well understood. In this paper, we develop system which allows customer to use cloud server with various profits and strong securities. So when customer stores his sensitive data on cloud server he should not worry about securities, we also protect customer’s account from malicious behaviors by verifying the result. This result verification mechanism is highly efficient for both cloud server and cloud customer. Covering security analysis and experiment results shows the immediate practicability of our mechanism design. DOI: 10.17762/ijritcc2321-8169.150314

Public Opinion Analysis Using Hadoop

Recent technological advances in devices, computing, and social networking have revolutionized the world but have also increased the amount of data produced by humans on a large scale. If you collect this data in the form of disks, it may fill an entire football field. According to studies, 2.5 billion gigabytes of new data is generated every day and 2.5 petabytes of data is collected every hour. This rate is still growing enormously. Though all this information produced is meaningful and can be useful when processed, it gets neglected. Social media has gained massive popularity nowadays. Twitter makes it easy to engage users in expressing, sharing and discussing hot latest topics but these public expressions and views are hard to analyze due to the bigger size of the data created by Twitter. In order to perform analysis and predictions over the hot topics in society, latest technologies are needed. The most popular solution for this is Hadoop. Hadoop acts as an open-source framework for developing and executing distributed applications that process very large amounts of data. It stores and process big data in a distributed fashion on large clusters of commodity hardware. The risk, of course, in running on commodity machines is how to handle failure. Hadoop is built with the assumption that hardware will fail and as such, it can easily handle most failures. Hadoop can be used for developing and executing distributed applications that process very large amounts of data. It provides a suitable environment needed for treating or processing huge data. Our job is to extract and store data into its file system and query the data according to the desired output. We propose to perform analysis on Public opinion expressed over Twitter regarding the trending topics of the society by using Apache Hadoop framework along with its services Apache Flume and Apache Hive

E-Learning Portal Using Social Networking Features

Education is currently conducted in highly controlled way. E-learning has emerged as an answer to provide freedom for learners in the way that face-to-face learning cannot deliver. It has rapidly evolved from a thing of the future to a practical approach towards education and will continue to be an extremely useful classroom teaching tool as well as self-study platform. With the rise of virtual reality technology and augment reality solutions, experimental subjects, skill-based learning and military training will come to depend more heavily on e-learning solutions. Various education technology providers are also hinting towards the rise of mobile learning solutions (also known as m-learning) as the advanced stage of education technology in future. Students can access educational assistance with services such as online tutoring, online programming help and coursework guidance. In providing e-learning, it is desirable to build an environment that is suitable to the student’s learning style. The result of multiple regression analyses, excluding the changes in learning preferences that may occur during the course, shows that a student’s learning adaptability can be estimated to some extent based on his/her learning preference measured before the course starts. Despite many advantages of e-learning, it does not provide the best learning experience due to many shortages, limitations, and challenges. The best learning experience might be available by combining in-class and online learning. One more feature that e-learning lacks is peers interaction. Peers interaction has been facilitated through social networks. Utilizing social networks in e-Learning can change the way students perceive learnin