DEVELOPMENT AND VALIDATION OF AN RP-HPLC METHOD FOR THE DETERMINATION OF ULIPRISTAL ACETATE IN BULK AND PHARMACEUTICAL DOSAGE FORM

Objective: This work makes an attempt to establish a sensitive and accurate method for the development and validation of an analytical method for estimation of ulipristal acetate (UPA) in bulk and pharmaceutical dosage form. Methods: A mixture of 20 mM acetate buffer pH 3.7 and methanol in the ratio of 70:30 (v/v %) was used as the mobile phase. An xBridge™ C18 column (250 mm × 4.6 mm, 5μ) was used for the analysis at a flow rate of 1 ml/min, injection volume of 20 μl, run time of 15 min, and detection wavelength of 309 nm. The repeatability (within-day in triplicates) and intermediate precision (for 2 days) were carried out by six injections and the obtained results within and between the days of trials were expressed as percent relative standard deviation (% RSD). The linearity of the method was determined by the analysis of analyte concentration across a range of 10 μg/ml–60 μg/ml. Results: The % RSD values of precision studies were found to be below the accepted limit of 2%. The method was found to be linear with a correlation coefficient (R2) of 0.98. The method was also found to be accurate and robust with suitable values. Limit of detection (LOD) and limit of quantification (LOQ) of the method were found to be 0.371 μg/ml and 1.23 μg/ml, respectively. Conclusion: The results of analysis prove that this method can be used for the routine determination of UPA in bulk drug and in pharmaceutical dosage forms

Processing of fine size minerals : Studies on some Indian uranium ores

Conventionally uranium ores are processed by direct chemical leaching techniques. However, the application of chemical leaching for lean tenor and high tonnage uranium- ores is being desisted due to obvious environmental concerns. It is in this context that the physical benefi-ciation methods for the pre-concentration of uranium ores, if feasible, are gaining importance. Adoption of physical beneficiation helps in containing uranium and daughter nuclides in a smaller mass of pre-concentrate, which can be further subjected to conventional chemical processing, leaving bulk of the ore safe for disposal. In the application of physical beneficiation techniques, particle size plays a significant role. Both the economic mineral of uranium - uraninite and pitchblend, are brittle and report in very fine sizes during comminution, an oper-ation meant for their liberation.It is well established fact that concentration of particles finer than 25um by conventional physical beneficiation methods is very difficult due to the low mass and high surface area. However with the advent of new fine particle concentrators and techniques the situation has shown tremendous impr-ovement. This paper highlights the studies carried out on the use of both physical (gravity and magnetic) and physico-chemical beneficiation methods for recovering fine size uranium values from some low grade uranium bearing ores of India

Autonomous Navigation of Flying Quadcopter

The goal of the project is to design a semi-autonomous Quadcopter, capable of self-controlled flight with the help of wireless communications. It utilises an Arducopter Version 2.6 having an in-built microcontroller. The size of Quadcopter is designed small enough to take care of expenses, therefore small scale motors and propellers are used in its construction. With the help of APM 2.6, Gyroscope, Accelerometer the Quadcopter maintains control. Raspberry Pie 2 is used as a development board which provides IDE for Python scripts. The design of Quadcopter is in plus ‘+’ configuration. The Quadcopter’s movement is controlled by varying the relative thrusts of each rotor. To roll or pitch, one rotor’s thrust is decreased and the opposite rotor’s thrust is increased by the same amount. DOI: 10.17762/ijritcc2321-8169.15063

AN EXPERIMENTAL INVESTIGATION OF MULTI-CYLINDER CONVENTIONAL CI ENGINE USING MADHUCA INDICA OIL AS FUEL

The present work is mainly discussed with a qualitative study of engine’s significant characteristics fuelled with mahua bio-diesel & its different types of mixtures with neat diesel. The significant technical properties of various mixtures are tabulated. A 4-S multi-cylinder (6-Cylinder) DI conventional CI engine is used for the study under different speed modes. All types of characteristics for various mixtures are estimated in running the engine. Pure diesel is indicated by B-0 and pure mahua bio-diesel is represented by B-100. From the test results, it is found that B-25 gives almost the same BTE as B-0 at maximum load, compared to all the blends. The blend B-0 and B-25 give the least SFC of 0.332 and 0.268 kg/kWh at minimum speed (1200 rpm) and maximum speed (2400 rpm) at maximum load as contrasted to all mixtures. The B-100 gave 3.01% of NOx while related to B-0 @ lower speed

Predisposing factors and clinical profile of acute severe asthma

Background: Asthma is a chronic inflammatory condition of the lung airways resulting in episodic airflow obstruction. It is also one of the leading causes of morbidity in children and hospital admissions. Current treatments, although helpful, are still unable to prevent childhood asthma exacerbations completely. Objectives: To study the clinical profile and predisposing factors for acute severe asthma in children. Methods: This prospective study was conducted between January 2015 and December 2015 in a tertiary care teaching hospital. Children between the age group of 5 and 18 years admitted with symptoms and signs of acute severe asthma formed the study group. Detailed history and examination were recorded in a systematically designed pro forma, and these patients were evaluated for the predisposing factors. Results: Out of 100 children with acute severe asthma, the predominant age group was between 5 and 10 years (68%). Boys are more commonly affected than girls in the ratio of 1:1.2. The most common predisposing factors were family history of asthma (60%), atopy (32%), and dermatitis (23%). The common risk factors responsible for acute exacerbations were viral infections (83%), poor drug compliance (68%), and exposure to house dust (61%). 55% of the children had acute exacerbation during the winter season. The common comorbid conditions were rhinosinusitis (35%), obesity (23%), and gastroesophageal reflux (9%). Eosinophilia was seen in 62% of the children with acute severe asthma. Conclusion: In the present study, majority of the asthmatics were males and belonged to urban area. Viral infections were the predominant factor for exacerbations and others like family, and previous history of atopy/allergic rhinitis/dermatitis, food allergy, indoor and outdoor pollution, seasonal variations, and comorbid conditions like obesity and rhinosinusitis were the common predisposing risk factors

A database management system for selection of steel

Selection of an ideal material for a given application will be a relatively simple matter, if perfect or near perfect materials are available. Such a material will have high strength, high toughness, good ductility and good fabricability. These properties would not necessarily be compatible in an existing material. Compromises and trade-offs among various properties become inevitable. On the other hand, infinite number of possible materials in various forms and its usage are so intertwined in all industries that a person can have no real comprehension of the characteristics of all the materials. A computer assistance either in the form of a software or a database is therefore unavoidable. A database is developed to assist in the selection of steels for scientific and engineering applications. A program is written in Foxpro to identify the ideal steel based on its tensile strength, elongation, toughness and hardness. The program can select the suitable steels and can generate the forging temper-ature, heat treatment procedure, etc. The input data are obtained from various handbooks and textbooks. A Pentium-586 with FOXPRO is used to build the prototype database management system in DOS environment. Human interface with the system is enhanced by the user-friendly menus. The database can be made compatible easily to a wide variety of micro, mini and mainframe computers

Light Weight Location Verification Algorithm in Wireless Sensors for Checking the Reliability of Data

Wireless sensors can be deployed in any environment, even if that is hazardous and they send back the data gathered to the verification center which is placed at some safe location. Since the data collected by these are very vital so any compromisation may lead to undesirable results. Sensors can be easily compromised by changing its actual position to some false position so there is need for some algorithm to verify the position and ensure that the data is unblemished. Since in previous scheme, heavy and expensive equipments were used along with the deployment knowledge required, it becomes inefficient for all cost range. Therefore, we have proposed a verification system which utilizes the concept of on-spot and in-region location verification. In on-spot verification, we calculate the distance of the wireless sensor from its actual deployed position. In-region verification depends upon neighbouring sensors. Along with that, once a sensors gets out of its tolerable region, even for once, its data gets discarded. Putting the sensors back to its original position after the discarding of the data won’t make it trusted and the sensor will still be considered compromised. This additional feature ensures that the data received in the verification center is from a trusted device and is true. DOI: 10.17762/ijritcc2321-8169.150512

Pattern & correlates of neurocognitive dysfunction in Asian Indian adults with severe obstructive sleep apnoea

Background & Objectives: No published data are available on neurocognitive dysfunction in Asian Indians with obstructive sleep apnoea (OSA). We therefore, studied the pattern and correlates of neurocognitive dysfunction in Indian adults with severe OSA. Methods: Fifty patients aged 25-65 yr with severe OSA (apnoea-hypopnoea index>30) and 25 age, sex, and education level-matched normal controls were studied. Both groups were administered a standardized battery of neurocognitive tests. Results: Patients with severe OSA had significantly impaired performance on tests of alertness, working memory, response inhibition, problem solving, and executive function. However, the difference in executive function between the groups disappeared after adjusting for delayed information processing. The test scores did not correlate with apnoea-hypopnoea index, arousal index, or Epworth sleepiness score. However, the percentage of time spent at <90 per cent oxygen saturation had a weak correlation with the number of stroop errors (Spearman's rho=0.64; P=0.033), number of trials required (rho=0.05; P=0.02), and perseverative errors on Wisconsin card sorting test (rho=0.36; P=0.02). Interpretation & Conclusions: Our results suggested that delayed information processing rather than impaired abstract thinking was probably the cause of impaired performance on composite tests of neurocognitive function in patients with severe OSA