575 research outputs found
Enzyme systems involved in nitrogen metabolism in green plants and their influence on yield and grain protein production in wheat
An Adaptive Technique to Predict Heart Disease Using Hybrid Machine Learning Approach
cardiovascular disease is amongby far prevalent fatalities in today's society. Cardiovascular disease is extremely hard to predict using clinical data analysis. Machine learning (ML) hasproved to be useful for helping in judgement and predictions with the enormous amount data produced by the healthcare sectorbusiness. Furthermore, latest events in other IoT sectors have demonstrated that machine learning is used (IOT). Several studies have examined the use of MLa heart disease prediction. In this research, we describe a novel method that, by highlighting essential traits, can improvethe precision of heart disease prognosis. Numerous data combinations and well-known categorization algorithms are used to create the forecasting models. Using a decent accuracy of 88.7%, we raise the level of playusing a heart disease forecasting approach that incorporates a88.7% absolute certainty in a combination random forest and linear model. (HRFLM)
ENHANCED TRANSDERMAL PERMEABILITY OF TELMISARTAN BY A NOVEL NANOEMULSION GEL
Objective: Telmisartan is an angiotensin II type I receptor blocker antihypertensive agent with 42% oral bioavailability. The aim of the present investigation was to develop a nanoemulsion gel to enhance bioavailability of poorly water soluble Telmisartan.Methods: Different nanoemulsion components (oil, surfactant and co-surfactant) were selected on the basis of solubility and emulsification ability. Pseudotemary phase diagrams were constructed using aqueous titration method. Carbopol 934 was added as a gel matrix to convert nanoemulsion into nanoemulsion gel. Drug loaded nanoemulsions and nanoemulsion gels were characterized for particle size, viscosity, rheological behavior, thermodynamic stability studies and ex vivo permeation studies using rat skin. Transdermal permeation of Telmisartan from nanoemulsion gels was determined using Franz Diffusion cell.Results: The optimized nanoemulsion gel (NEG) contained Labrafil®M 2125 CS (14.3%) as oil, Acrysol®EL 135 (30.84%) as surfactant, Carbitol® (15.42%) as co-surfactant and (32.44%) water; 20 mg drug and 1% w/w carbopol. The ex vivo permeation profile of optimized formulation was compared to nanoemulsion and normal gel. Permeability parameters like steady-state flux (Jss), permeability coefficient (Kp), and enhancement ratio (Er) were significantly increased in nanoemulsion (NE) and nanoemulsion gel (NEG) as compared to conventional gel. There was a considerable improvement in bio availability for nanoemulsion gel compared to the conventional telemisartan gel.Conclusion: Nanoemulsion gel has significantly increased the bio-availability of the drug.Â
Frame Difference And Kalman Filter Techniques For Detection Of Moving Vehicles
Abstract Background subtraction is a method to identify object and famous used in moving object detection. The aim is to obtain a clean background and then detect moving objects by comparing it with the current frame. In this paper, kalman filter method and Frame difference has used to detect the objects. The kalman filter has better accuracy than the Frame difference method. Experimental results show that the kalman filter is a good solution to obtain high accuracy, low resource requirements in given video of each technique. The detection of object will be shown in the result
Ensuring biological safety of drinking water at International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Andhra Pradesh, India
Potability of drinking water from various sources at the campus of International Crops Research Institute for the Semi-Arid Tropics (ICRISAT), Patancheru, Andhra Pradesh, India had been assessed for 17 years (1994 to 2010). All four sources of drinking water at ICRISAT, including Manjeera water (Municipal corporation supplied drinking water), borewell 1, borewell 2 and ICRISAT water (mixture of both Manjeera as well as borewells after treatment), were tested for their potability once in two months by most probable number (MPN) method. The results indicated that water from borewells were not safe to drink without treatment as Escherichia coli was found in 10 and 12 years out of 17 tested years for bore wells 1 and 2, respectively. Manjeera water samples were also found unsafe in two out of the 17 years, whereas ICRISAT water was found safe to drink throughout the study period. This study indicated that even deep borewells (of about 135 ft) can get contaminated, and its water is not safe to drink without treatment, and an additional treatment of municipal water supply is required in order to have safe drinking water.Keywords: Potability, drinking water, Escherichia coli, borewell water, municipal wate
A preliminary timing analysis of two intermediate polars: UU Col and Swift J0939.7-3224
We present the preliminary timing analysis of confirmed intermediate polar UU
Col and possible intermediate polar Swift J0939.7-3224 in the optical band with
the help of long-term, high-cadence continuous photometry from Transiting
Exoplanet Survey Satellite (TESS). For UU Col, we revise previously reported
orbital and spin periods as 3.464 0.005 h and 863.74 0.08 s,
respectively. Using the second harmonic of the beat frequency, the beat period
is estimated as 928 s. These findings indicate that UU Col is a disc-fed
dominated disc-overflow accretor. For J0939, we establish the spin period as
2671.8 0.8 s and refine the provisionally suggested orbital period as
8.49 0.03 h. The absence of beat frequency in J0939 signifies that it
might be a pure disc-fed accretor; however, an X-ray study of this source will
help to understand its true nature.Comment: 9 pages, 3 figures, 2 tables. Proceeding paper of the 3
Belgo-Indian Network for Astronomy and Astrophysics (BINA) workshop, Accepted
for publication in the Bulletin of Li\`{e}ge Royal Society of Science
Inclusive Market Oriented Development (IMOD) at ICRISAT
IMOD is the unifying conceptual framework for ICRISAT’s work for the period 2011-2020. It emerged from the extensive global consultations, analyses and deliberations of the 2010 Strategic Planning process.In a nutshell, IMOD is a development model that frames ICRISAT’s strategy to help the poor to harness markets while managing risks, in order to most effectively reduce poverty, hunger, malnutrition and environmental degradation across the dryland tropics. This brief birds-eye view of IMOD and its origin sets the context for describing its features in more detail, below..
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