Formulation, optimization and characterization of Betaxolol hydrochloride proniosomes using 3-2 factorial design

The revolution in nanotechnology has lead to the development of various dosage forms such as vesicular drug delivery and in particular liposomes, niosomes, proniosomes, aquasomes, bilosomes etc. The disad-vantages exhibited by the liposomes, niosomes can be overcome through introduction of proniosomes which are compact liquid crystalline structures and convert to niosomes upon hydration. The investigation is focused on development and optimization of Betaxolol proniosomes using three square factorial design technique with the aid of design expert 11.0 ® trial version. The optimization technique prefers choles-terol and span 60 as independent variables and drug content, vesicular size, and entrapment efficacy as dependent variables. The design generated total 13 formulations among which F10 exhibited 98.1% drug content and 97.3% of entrapment efficacy. In view of other parameters, F10 exhibits 6.5 pH, 3.8 ve-sicular size and follows diffusion mechanism with anomalous drug transport. Hence, the obtained results specify that F10 is optimized and can be opted for commercialization

A Novel Machine Learning Framework for Tracing Covid Contact Details by Using Time Series Locational data & Prediction Techniques

It is difficult to prevent the spread of new infections in densely populated areas because they spread at a faster rate. One of the most commonly used techniques for this type of scenario is contact tracing, which involves locating the infected character and his close contacts after he has been infected. This is one of the most recent and effective methods that the health authorities have supported. We can see Machine Learning strategies that require some region information to efficiently implement contact tracing. Contact tracing is used by local governments and health authorities to halt the spread of rapidly spreading diseases. It is one of the locally focused methods that work well when the number of cases is small. As a result, we can say that it can be or is primarily used in rapidly transmitted diseases and newly emerging infections. Using cluster-based region identifications, the utility of touch tracing is investigated using nearest neighbour approaches and absolute deterministic simulations (MLDBSCAN). Emerging or re-emerging infectious diseases like SARS, Ebola, Lassa fever, tuberculosis, and, most recently, COVID-19 require extremely effective prevention methods and strategies

GREEN SYNTHESIS OF NANOSTRUCTURED ZINC PARTICLES USING AQUEOUS LEAF EXTRACT OF SCHREBERA SWIETENIOIDES ROXB. AND THEIR CATALYTIC APPLICATION IN DEGRADATION OF METHYL ORANGE, CRYSTAL VIOLET DYES AND CHROMIUM METAL

Objective: The present work was aimed to synthesized the zinc nanoparticles (ZnO NPs) using aqueous leaf extract of Schrebera swietenioides Roxb., and further, the green-synthesized ZnO NPs were studied for its efficacy in the degradation of hazardous dyes like methyl orange, crystal violet and hazardous metal such as chromium. Methods: The ZnO NPs were synthesized using aqueous leaf extract of S. swietenioides Roxb., as a green reducing agent and 0.1 M Zinc acetate as metal source and the NPs synthesis was completed within a short period of 6 h. The ZnO NPs synthesized were characterized using SEM, TEM, EDS, XRD, FT-IR and UV-visible spectrophotometer. Further, the synthesized NPs were applied for reduction of pollutant days such as methyl orange, crystal violet and pollutant metal chromium. Results: The synthesis of NPs was monitored by observing the color change in the reaction mixture and UV visible spectral analysis. The UV spectral analysis shows a characteristic absorption wavelength at 379 nm. The synthesized NPs were hexagonal wurtzite form crystals having a spherical shape with rough surfaces with an average size of 68 nm and having 73.7 % of zinc content. At a NPs dose of 1.0 g/l the photocatalytic reduction was observed as 85.33±0.02 %, 86.82±0.095 % and 86.73±0.104 % for crystal violet dye, methyl orange dye and chromium metal, respectively. The NPs shows a high % photocatalytic reduction of chromium metal, crystal violet dye and methyl orange dye with less contact time confirms that the synthesized ZnO NPs were effectively catalyzed the degradation of methyl orange, crystal violet dyes and chromium metal. The NPs were observed to be recyclable and can shows high reduction activity after the completion of three cycles of degradation. Conclusion: Hence it can be concluded that synthesized greener nanocatalyst was efficient for pollutant treatment and demonstrated the power of green biosynthesis for metallic nanoparticles

DEVISE AND FUNCTIONING OF TWICE AS USE POWER LINES IN CMOS SCHEME

This card presents a high-voltage line transport (PLC) customer in ICs. The PLC is one wherein the flexibility pins and the flexibility transport networks of ICs are nearly new for testimony communique in addition sovereignty release. PLC is worn so as to shrink transaction of knowledge pins that fact an IC must connect the prove testimony signals separately and each growth. The prime prepare aspiration of your suggested Low Voltage CMOS Schmitt set off for PLC handset is the flexibility competent trip, ago strength is one of your most critical criterions within the VLSI devise. Schmitt set off courses are widely passed down for waveform shaping below boisterous surrounding in voltaic districts. The hysteresis within a Schmitt set off offers enhances turbulence margin side and clamour balanced surgery. In the one in question card, we advice peculiar Schmitt cause route devises in CMOS for the trip at 1V and under with a progressive body-bias manner. The PLC bug formed in 0.18μm CMOS mechanization less than a transfer electricity of 1V by the agency of Tanner EDA medium, to succeed in radical low sovereignty depletion. It is located that fact the flexibility utilization of this one new PLC bug is barely 0.769mW that is deeply lower than almost immediately actual prepares

Optimal Ensemble Learning Based on Distinctive Feature Selection by Univariate ANOVA-F Statistics for IDS

Cyber-attacks are increasing day by day. The generation of data by the population of the world is immensely escalated. The advancements in technology, are intern leading to more chances of vulnerabilities to individual’s personal data. Across the world it became a very big challenge to bring down the threats to data security. These threats are not only targeting the user data and also destroying the whole network infrastructure in the local or global level, the attacks could be hardware or software. Central objective of this paper is to design an intrusion detection system using ensemble learning specifically Decision Trees with distinctive feature selection univariate ANOVA-F test. Decision Trees has been the most popular among ensemble learning methods and it also outperforms among the other classification algorithm in various aspects. With the essence of different feature selection techniques, the performance found to be increased more, and the detection outcome will be less prone to false classification. Analysis of Variance (ANOVA) with F-statistics computations could be a reasonable criterion to choose distinctives features in the given network traffic data. The mentioned technique is applied and tested on NSL KDD network dataset. Various performance measures like accuracy, precision, F-score and Cross Validation curve have drawn to justify the ability of the method

Effect of Heat Stress on Crossbred Dairy Cattle in Tropical Nepal: Impact on Blood Parameters

Chitwan district of Nepal has been known as the dairy kingdom of the country considering its strategic location andpotential to easily provision inputs and produce as well as market quality milk across the country. However, theclimate especially during summer has been a challenge to farmers that potentially compromise the daily milk yieldof cows. Therefore, sixteen crossbred dairy cattle were placed in a RCBD fashion to assess the impacts of cold waterbathing in ameliorating effect of heat stress on their performance and body physiology. Routine assessment of themicroclimate within the experimental shed and blood parameters was made. The results from the experimentinferred that frequency of bathing (none, once, twice or thrice a day) did not have any significant impact onHaemoglobin, Haematocrit, Sodium, Potassium, Chloride and Bicarbonate levels in the blood plasma(p>0.05). Inaddition, the animals did not exhibit any signs of physiological distress clinically either. A detailed study scopingtemperature humidity index and over a number of other milk and blood parameters are to be tested across a numberof other available breeds too in order for the researchers to come to a meaningful strategy to beat the heat stress

Modeling of Ionospheric Responses to Atmospheric Acoustic and Gravity Waves Driven by the 2015 Nepal M w 7.8 Gorkha Earthquake

Near- and far-field ionospheric responses to atmospheric acoustic and gravity waves (AGWs) generated by surface displacements during the 2015 Nepal 7.8 Gorkha earthquake are simulated. Realistic surface displacements driven by the earthquake are calculated in three-dimensional forward seismic waves propagation simulation, based on kinematic slip model. They are used to excite AGWs at ground level in the direct numerical simulation of three-dimensional nonlinear compressible Navier-Stokes equations with neutral atmosphere model, which is coupled with a two-dimensional nonlinear multifluid electrodynamic ionospheric model. The importance of incorporating earthquake rupture kinematics for the simulation of realistic coseismic ionospheric disturbances (CIDs) is demonstrated and the possibility of describing faulting mechanisms and surface deformations based on ionospheric observations is discussed in details. Simulation results at the near-epicentral region are comparable with total electron content (TEC) observations in periods ( 3.3 and 6-10 min for acoustic and gravity waves, respectively), propagation velocities ( 0.92 km/s for acoustic waves) and amplitudes (up to 2 TECu). Simulated far-field CIDs correspond to long-period ( 4 mHz) Rayleigh waves (RWs), propagating with the same phase velocity of 4 km/s. The characteristics of modeled RW-related ionospheric disturbances differ from previously-reported observations based on TEC data; possible reasons for these differences are discussed

The combined effects of electrojet strength and the geomagnetic activity (<I>K_p</I>-index) on the post sunset height rise of the F-layer and its role in the generation of ESF during high and low solar activity periods

International audienceSeveral investigations have been carried out to identify the factors that are responsible for the day-to-day variability in the occurrence of equatorial spread-F (ESF). But the precise forecasting of ESF on a day-to-day basis is still far from reality. The nonlinear development and the sustenance of ESF/plasma bubbles is decided by the background ionospheric conditions, such as the base height of the F-layer (h'F), the electron density gradient (dN/dz), maximum ionization density (Nmax), geomagnetic activity and the neutral dynamics. There is increasing evidence in the literature during the recent past that shows a well developed Equatorial Ionization Anomaly (EIA) during the afternoon hours contributes significantly to the initiation of ESF during the post-sunset hours. Also, there exists a good correlation between the Equatorial Ionization Anomaly (EIA) and the Integrated Equatorial ElectroJet (IEEJ) strength, as the driving force for both is the same, namely, the zonal electric field at the equator. In this paper, we present a linear relationship that exists between the daytime integrated equatorial electrojet (IEEJ) strength and the maximum elevated height of the F-layer during post-sunset hours (denoted as peak h'F). An inverse relationship that exists between the 6-h average Kp-index prior to the local sunset and the peak h'F of the F-layer is also presented. A systematic study on the combined effects of the IEEJ and the average Kp-index on the post-sunset, peak height of the F-layer (peak h'F), which controls the development of ESF/plasma bubbles, is carried out using the ionosonde data from an equatorial station, Trivandrum (8.47° N, 76.91° E, dip.lat. 0.5° N), an off-equatorial station, SHAR (13.6° N, 79.8° E, dip.lat. 10.8° N) and VHF scintillations (244 MHz) observed over a nearby low-latitude station, Waltair (17.7° N, 83.3° E, dip.lat. 20° N). From this study, it has been found that the threshold base height of the F-layer at the equator for the development of plasma bubbles is reduced from 405 km to 317 km as the solar activity decreases from March 2001 (mean Rz=113.5) to March 2005 (mean Rz=24.5). This decrease in threshold height with the decreasing solar activity is explained on the basis of changes in the local linear growth rate of the collisional Rayleigh-Taylor instability, due to the variability of various terms such as inverse density gradient scale length (L?1), ion-neutral collision frequency (?in) and recombination rate (R) with the changes in the solar activity

Performance of broilers on sorghum-based diets

The effect of replacing maize with sorghum grain on the performance of broilers was studied. Grain from 4 improved Sorghum bicolor cultivars (CSH 16, CSV 15, PSV 16 and S 35) and one traditional yellow variety were used to replace maize (control diet) in the starter (1-4 weeks) and finisher rations (5-6 weeks) of broilers by 50, 75 and 100% levels. All diets were isonitrogenous and isocaloric and were homogeneous for lysine, methionine and cystine levels. One-day-old 512 commercial Cobb female broilers were divided into 64 groups with 16 dietary treatments and 4 replicates per treatment, with 8 birds in each. In a second trial, sorghum replacement was conducted without homogenizing the diets for nitrogen and energy contents. The study lasted for 6 weeks. It was shown that the liveweight gain and feed intake of broilers was statistically similar in sorghum diets at all inclusion levels compared to the control diet. However, the feed conversion efficiency of broilers in the 100% sorghum diet was significantly higher compared to the maize diet (P=0.05). A better feed conversion efficiency was found with the CSV 15, CSH 16, PSV 16 and the local cultivars at 100% inclusion levels. However, the yellow pigmentation of the skin and carcass of the broilers was better in the maize diet compared to the sorghum diets. Cost varied among and within cultivars at different inclusion levels, and was lower in CSV 15, PSV 16, S 35 and local sorghum cultivar-based diets. Cost was also much lower in CSV 15, PSV 16 and local sorghum cultivars at 100% inclusion level compared to maize. Feed cost per kg liveweight gain was lower with CSV 15 (Rs 17.16) and PSV 16 cultivars (Rs 17.62) compared to maize (Rs 18.02). Although pelleting increased feed costs (by Rs 0.25/kg), it also improved broiler production efficiency compared to mash in sorghum diets. Inclusion of Stylosanthes sp. leaf meal at 3% in 100% sorghum-based diets favourably improved the shank and skin colour of the carcass. Carcass yield and abdominal fat of broilers fed sorghum, sorghum + Stylosanthes sp. and maize diets were similar. In conclusion, the inclusion/replacement of sorghum in maize-based diets and pelleting improves the feed conversion ratio and decreases the total feed costs in broiler production