Aerodynamic Analysis of Compliant Thrust Foil Bearings

In turbo-expanders, the shaft rotates at a very high speed (i.e. 100000 RPM). At this high speeds, normal bearings cannot be used as it results in high friction and wear of the bearings. That is the reason; we are going to use gas foil bearings as a recent and advanced alternative. Here, in this project we are going to design bearings required to support the shaft which runs at a very high speed. Current project concentrate to analyse the load bearing capacity of the thrust bearings. In the analysis Reynolds’ Equation is used to know the pressure distribution of these bearings. The Reynolds’ Equation is solved by using FINITE DIFFERENCE METHOD and using many assumptions to know the pressure distribution of the thrust bearings. Finite Difference Method is a numerical technique by the principle of discretization to find the approximate solutions of engineering problems. The result comes after a many number of iterations based on a convergence condition. We are using MATLAB (Matrix Laboratory) software to implement Finite Difference Method to solve Reynolds’ Equation. A MATLAB program is written which contains multiple loops that solves the Reynolds’ Equation and gives Pressure plots. After the pressure distribution is known, load carrying capacity of the bearing is calculated and their variations with different parametes are presented. The results of this foil thrust bearings are compared with the load carrying capacity of rigid bearings. The analysis was also done for different types for foil bearings by taking different materials of the bump foil

USE OF SOME ETHNOMEDICINAL HERBS BY THE NATIVES OF SOLANG VALLEY, KULLU DISTRICT, HIMACHAL PRADESH

Objective: The objective of the study was to enlist the ethnobotanical uses of wild plants of Solang Valley, Kullu District, Himachal Pardesh. Due to the specific geographical location of the valley, it possesses a high amount of endemic plant diversity. The plants are being used medically by local people against many ailments such as rheumatism, gastric disorders, muscular pain, asthma, dysentery, diabetes, constipation, cold, cough, fever, etc.Methods: For documentation of ethnomedicinal information, a questionnaire containing vernacular name, plant part/s used, medicinal uses, method of preparation and amount of dose taken was prepared. To gather such information, personal interviews/interactions were conducted with medicine men (vaids and hakims), local healers, village elders, tribals and shepherds.Results: Presently, 42 plant species belonging to 41 genera and 24 families are included for ethnobotanical study with respect to their scientific names, vernacular names, plant parts used, ethnomedicinal purposes, mode of preparation, and dose/amount taken. As many as 23 species are used for treating more than one ailment. By consulting the previous literature, it was found that there are 19 species which have not been reported earlier and are used by the natives for different medicinal purposes.Conclusion: The unsustainable harvesting such as uprooting of whole plant of medicinal use from the wild is resulting into a serious decline in plant populations. Therefore various cultivation techniques should be designed, and implemented especially for the highly medicinally important and endangered plant species. Grazing should be restricted in high altitudinal zones possessing high endemic plant diversity. Further, information gathered on ethnobotanical aspects of plants of medicinal use will be helpful in the selection of elite genotypes/chemotypes which could provide a base for future plantation programmes which will be helpful for sustainable development of the valley

Embedded Processor Design and Implementation of CAM

Microprocessors are the heart of all “smart” devices, whether they be electronic devices or otherwise. Their smartness comes as a direct result of the decisions and controls that microprocessors make. For example, we usually do not consider a car to be an electronic device. However, it certainly has many complex, smart electronic systems, such as the anti-lock brakes and the fuel-injection system. Each of these systems is controlled by a microprocessor. Yes, even the black, hardened blob that looks like a dried-up and pressed-down piece of gum inside a musical greeting card is a microprocessor. There are generally two types of microprocessors: general-purpose microprocessors and dedicated microprocessors. General-purpose microprocessors, such as the Pentium CPU, can perform different tasks under the control of software instructions. General-purpose microprocessors are used in all personal computers. Dedicated microprocessors, also known as application-specific integrated circuits (ASICs), on the other hand, are designed to perform just one specific task. For example, inside your cell phone, there is a dedicated microprocessor that controls its entire operation. The embedded microprocessor inside the cell phone does nothing else but controls the operation of the phone. Dedicated microprocessors are, therefore, usually much smaller than and not as complex as general-purpose microprocessors. However, they are used in every smart electronic device, such as the musical greeting cards, electronic toys, TVs, cell phones, microwave ovens, and anti-lock break systems in your car. From this short list, I’m sure that you can think of many more devices that have a dedicated microprocessor inside them. Although the small dedicated microprocessors are not as powerful as the general-purpose microprocessors, they are being sold and used in a lot more places than the powerful general-purpose microprocessors that are used in personal computers. Our projects aim at designing an embedded processor and implement the embedded processor for a particular application and the project is divided into following modules 1) Designing the basic component of the microprocessor such as • ALU • RAM • ROM • REGISTERS • DATA PATH • CONTROL PATH 2) Component design as per the fixed size. 3) Connect the data path and control path 4) Fixed the number of instruction required 5) Implementation of CAM In order to analyze the performance issues, and testing we will implement our code in FPGA / ASI

Increase in wheat production through management of abiotic stresses : A review

About 9% of area on earth is under crops out of which 91% is under various stresses. On an average, about 50% yield losses are due to abiotic stresses mostly due to high temperature (20%), low temperature (7%), salinity (10%), drought (9%) and other abiotic stresses (4%). As there is no scope for increasing area under agriculture, the increased productivity from these stressed land is a must to meet the ever increasing demand. Further, the severity of abiotic stresses is likely to increase due to changing climate leading to adverse effect on crops. Therefore, abiotic stresses like drought, salinity, sodicity, acidity, water logging, heat, nutrient toxicities/ deficiencies etc need to be effectively addressed through adoption of management practices like tillage and planting options, residue management, sowing time, stress tolerant cultivars, irrigation scheduling and integrated nutrient management to conserve natural resources, mitigating their adverse effect and sustainable wheat production

Identification of wheat cultivars for low nitrogen tolerance using multivariable screening approaches

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). A set of thirty-six wheat cultivars were grown for two consecutive years under low and high nitrogen conditions. The interactions of cultivars with different environmental factors were shown to be highly significant for most of the studied traits, suggesting the presence of wider genetic variability which may be utilized for the genetic improvement of desired trait(s). Three cultivars, i.e., RAJ 4037, DBW 39 and GW 322, were selected based on three selection indices, i.e., tolerance index (TOL), stress susceptibility index (SSI), and yield stability index (YSI), while two cultivars, HD 2967 and MACS 6478, were selected based on all four selection indices which were common in both of the study years. According to Kendall’s concordance coefficient, the consistency of geometric mean productivity (GMP) was found to be highest (0.778), followed by YSI (0.556), SSI (0.472), and TOL (0.200). Due to the high consistency of GMP followed by YSI and SSI, the three selection indices could be utilized as a selection tool in the identification of high-yielding genotypes under low nitrogen conditions. The GMP and YSI selection indices had a positive and significant correlation with grain yield, whereas TOL and SSI exhibited a significant but negative correlation with grain yield under both high and low nitrogen conditions in both years. The common tolerant genotypes identified through different selection indices could be utilized as potential donors in active breeding programs to incorporate the low nitrogen tolerant genes to develop high-yielding wheat varieties for low nitrogen conditions. The study also helps in understanding the physiological basis of tolerance in high-yielding wheat genotypes under low nitrogen conditions

Psychosocial impact of undergoing prostate cancer screening for men with BRCA1 or BRCA2 mutations.

OBJECTIVES: To report the baseline results of a longitudinal psychosocial study that forms part of the IMPACT study, a multi-national investigation of targeted prostate cancer (PCa) screening among men with a known pathogenic germline mutation in the BRCA1 or BRCA2 genes. PARTICPANTS AND METHODS: Men enrolled in the IMPACT study were invited to complete a questionnaire at collaborating sites prior to each annual screening visit. The questionnaire included sociodemographic characteristics and the following measures: the Hospital Anxiety and Depression Scale (HADS), Impact of Event Scale (IES), 36-item short-form health survey (SF-36), Memorial Anxiety Scale for Prostate Cancer, Cancer Worry Scale-Revised, risk perception and knowledge. The results of the baseline questionnaire are presented. RESULTS: A total of 432 men completed questionnaires: 98 and 160 had mutations in BRCA1 and BRCA2 genes, respectively, and 174 were controls (familial mutation negative). Participants' perception of PCa risk was influenced by genetic status. Knowledge levels were high and unrelated to genetic status. Mean scores for the HADS and SF-36 were within reported general population norms and mean IES scores were within normal range. IES mean intrusion and avoidance scores were significantly higher in BRCA1/BRCA2 carriers than in controls and were higher in men with increased PCa risk perception. At the multivariate level, risk perception contributed more significantly to variance in IES scores than genetic status. CONCLUSION: This is the first study to report the psychosocial profile of men with BRCA1/BRCA2 mutations undergoing PCa screening. No clinically concerning levels of general or cancer-specific distress or poor quality of life were detected in the cohort as a whole. A small subset of participants reported higher levels of distress, suggesting the need for healthcare professionals offering PCa screening to identify these risk factors and offer additional information and support to men seeking PCa screening