Evaluation of the Antiasthmatic Activity of Methanolic Extract of Trigonella Foenum Graecum on Experimental Models of Bronchial Asthma

The present study deals with the phytochemical screening and evaluation of antiasthmatic activity of methanolic extract of Trigonella foenumgraecum on experimental models of bronchial asthma and anaphylaxis. The antiasthmatic activity was studied on histamine-induced bronchospasm in guinea pig (Dunkey-Hartley) for respiratory parameters such as maximum airflow, minimum airflow, tidal volume, respiratory rate, minute volume, specific airway resistance determination on double chambered whole body plethysmography on un-anesthetized guinea pigs, for mast cell degranulation by compound 48/80 (in vitro) was done using rat (Albino Wistar) peritoneal fluid. Trigonella foenum graecum treated result indicated significant protection against histamine-induced bronchospasm in guinea pigs at highest dose i.e. 400mg/kg. The bronchodilatory effect of Trigonella foenum graecum was found comparable to the protection offered by the standard drug Salbutamol on respiratory parameters in double chambered whole body plethysmography, Treatment with Trigonella foenum graecum at a dose of 400mg/kg showed a significant decrease in degranulation rate of actively and passively sensitized mast cells of sensitized rats when challenged with antigen. Trigonella foenum graecum. Possess significant anti-asthmatic activity due to its potential anti inflammatory, antioxidant and the antihistaminic activity, which reflects as anti-degranulating effect on mast cells and on respiratory parameters. Keywords: Trigonella foenum graecum; asthma; mast cell; compound 48/80; histamin

Context-Aware Clustering and the Optimized Whale Optimization Algorithm: An Effective Predictive Model for the Smart Grid

For customers to participate in key peak pricing, period-of-use fees, and individualized responsiveness to demand programmes taken from multi-dimensional data flows, energy use projection and analysis must be done well. However, it is a difficult study topic to ascertain the knowledge of use of electricity as recorded in the electricity records' Multi-Dimensional Data Streams (MDDS). Context-Aware Clustering (CAC) and the Optimized Whale Optimization Algorithm were suggested by researchers as a fresh power usage knowledge finding model from the multi-dimensional data streams (MDDS) to resolve issue (OWOA). The proposed CAC-OWOA framework first performs the data cleaning to handle the noisy and null elements. The predictive features are extracted from the novel context-aware group formation algorithm using the statistical context parameters from the pre-processed MDDS electricity logs. To perform the energy consumption prediction, researchers have proposed the novel Artificial Neural Network (ANN) predictive algorithm using the bio-inspired optimization algorithm called OWOA. The OWOA is the modified algorithm of the existing WOA to overcome the problems of slow convergence speed and easily falling into the local optimal solutions. The ANN training method is used in conjunction with the suggested bio-inspired OWOA algorithm to lower error rates and boost overall prediction accuracy. The efficiency of the CAC-OWOA framework is evaluated using the publicly available smart grid electricity consumption logs. The experimental results demonstrate the effectiveness of the CAC-OWOA framework in terms of forecasting accuracy, precision, recall, and duration when compared to underlying approaches

Novel Approach for Diagnosis of Brain Diseases byUsing Mixed Scheme on MRI and CT Images

Now days, multimodal medical image has growing interest in the field of analysis and diagnosis of brain diseases. In order to obtain complementary information from multimodal input images, multimodal image fusion become widely popular. Here fusion of the input multimodal images is done either by Spatial Domain or by Transform Domain method. Limitations of Spatial domain method force us to use transform domain fusion method. Discrete Wavelet Transform is one of the popular real valued wavelet transform method of transform domain fusion, but it has disadvantages like shift sensitivity and lack of phase information. These disadvantages motivate us to use the complex Wavelet Transform. In the present work we prefer New Daubechies Complex Wavelet Transform (DCxWT) Method for multimodal image fusion.shift invariance and availability of phase information properties of DCxWT create an output fused image of greater quality. In this work we apply two separate image fusion rule for approximation and detailed coefficient

Local predictability in a simple model of atmospheric balance

International audienceThe 2 degree-of-freedom elastic pendulum equations can be considered as the lowest order analogue of interacting low-frequency (slow) Rossby-Haurwitz and high-frequency (fast) gravity waves in the atmosphere. The strength of the coupling between the low and the high frequency waves is controlled by a single coupling parameter, e, defined by the ratio of the fast and slow characteristic time scales. In this paper, efficient, high accuracy, and symplectic structure preserving numerical solutions are designed for the elastic pendulum equation in order to study the role balanced dynamics play in local predictability. To quantify changes in the local predictability, two measures are considered: the local Lyapunov number and the leading singular value of the tangent linear map. It is shown, both based on theoretical considerations and numerical experiments, that there exist regions of the phase space where the local Lyapunov number indicates exceptionally high predictability, while the dominant singular value indicates exceptionally low predictability. It is also demonstrated that the local Lyapunov number has a tendency to choose instabilities associated with balanced motions, while the dominant singular value favors instabilities related to highly unbalanced motions. The implications of these findings for atmospheric dynamics are also discussed

Analysis of Balanced Stiffness Valve by using Transient Finite Element Analysis

In chemical industries there is necessary to control the flow of liquids between chambers, where it is necessary that valve will be opened when a certain pressure of fluid is reached. To control this fluid flow electronically actuated valves are generally used. Sometimes there is also need of mechanical actuated valve. A single valve will connect three chambers and will control inter flow between these chambers using a balanced stiffness approach where in flow will switch automatically operating at pressure. This paper basically focused on the transient finite element analysis of Balanced Stiffness valve. This transient analysis is generally used to determine the dynamic response of a structure under the action of any general time-dependent loads. It is used to determine the time-varying displacements, stresses, strains, and forces in valve parts as it responds to any transient loads. Here performance of the Balanced Stiffness Valve, i.e. movement of pressure plates observed. Pressure Plate area is exposing to the fluid flow instantaneously as the supply pressure given to pressure plate. Hence it is essential to examine time dependent dynamic response of the valv

Effect of textile softeners on BTCA treated cotton fabric

96-101The effect of two softeners (Sapamine® OC and Ultratex® ASG) on physical properties of BTCA finished cotton fabric has been studied. Bleached cotton fabrics are treated with 1, 2, 3, 4-butane tetracarboxylic acid (BTCA) followed by finishing with a cationic and a silicone softener by conventional pad-dry-cure method. Properties, such as crease recovery angle, absorbency, whiteness index, tensile strength, moisture regain, surface morphology and crystallinity of the finished fabrics, have been evaluated. The crease recovery angle of the finished fabrics increases from 154° to 257° after treatment with BTCA and further increases to 266° after BTCA+silicone softener based finishing. The absorbency of cationic softener finished fabric is found to be higher than that of silicone softener finished fabrics. Tensile strength reduces after BTCA finishing by more than 50%, and about 17% softeners is recovered. Scanning electron microscope images show smooth ridges and surface characteristics of cotton fibres in BTCA treated samples as well as deposition of softener on the fibre surface in cationic and silicone softener finished fabrics

Effect of textile softeners on BTCA treated cotton fabric

The effect of two softeners (Sapamine® OC and Ultratex® ASG) on physical properties of BTCA finished cotton fabrichas been studied. Bleached cotton fabrics are treated with 1, 2, 3, 4-butane tetracarboxylic acid (BTCA) followed byfinishing with a cationic and a silicone softener by conventional pad-dry-cure method. Properties, such as crease recoveryangle, absorbency, whiteness index, tensile strength, moisture regain, surface morphology and crystallinity of the finishedfabrics, have been evaluated. The crease recovery angle of the finished fabrics increases from 154° to 257° after treatmentwith BTCA and further increases to 266° after BTCA+silicone softener based finishing. The absorbency of cationic softenerfinished fabric is found to be higher than that of silicone softener finished fabrics. Tensile strength reduces after BTCAfinishing by more than 50%, and about 17% softeners is recovered. Scanning electron microscope images show smoothridges and surface characteristics of cotton fibres in BTCA treated samples as well as deposition of softener on the fibresurface in cationic and silicone softener finished fabrics

Effect of different mercerization techniques on tactile comfort of cotton fabric

The effect of different mercerization techniques on tactile comfort properties of woven cotton fabric has been studied.Desized, scoured and bleached cotton fabrics are subjected to four different mercerization treatments at two levels oftemperature (20C and 65C) under two different conditions (tension and slack). Non-mercerized fabric is served as control.Results show that mercerization treatments improve the tensile strength of cotton fabrics owing to reduced fibre crystallinityafter mercerization. Highest increase in tensile strength is observed in case of hot mercerization in slack condition. Increasein low-stress mechanical properties, such as tensile energy, bending rigidity and shear rigidity values, indicates higherstiffness/toughness of mercerized fabrics. This is further reflected in their high Koshi (stiffness/firmness), low Sofutosa(softness) and medium Fukurami (fullness) values. However, mercerization causes significant decrease in frictionalcoefficient and surface roughness, and results in improved total hand value (THV). Total hand values range from 3 to 3.61;with highest being presented by fabric mercerized under hot and slack conditions. High hand value indicates fair suitabilityof this fabric in wear comfort

Extraction, purification and characterization of hyaluronic acid from Rooster comb

Hyaluronic acid, is extract by different procedures from various sources like pig, rabbit, oxes and human are available, but these processes have certain imitations like low yield, and also it requires the killing of these animals which is against the experimental ethics. In the present study, we have carried out the extraction of hyaluronic acid from cock’s comb which was further analyzed with qualitative test, viscosity, UV absorption, endotoxin detection assay. Also, the protein contamination of extracted hyaluronic acid was determined by using SDS-PAGE of hyaluronic acid was studied for checking the protein contaminants and it was noted that there were no bands observed in the well loaded with extracted hyaluronic acid sample indicating that the final extract of hyaluronic acid is not contaminated with the protein. The extraction and purification of hyaluronic acid by using the method reported here give pure hyaluronic acid. The viscosity of extracted hyaluronic acid was found to be 2.55 poise which is economical and can be used for industrial production of hyaluronic acid having clinical application

Uterine rupture: a preventable obstetric catastrophe

Background: Maternal health has long been acknowledged to be the cornerstone in public health. The objective of this study was to determine the incidence, etiology, risk factors, complications, treatment strategies, maternal and fetal outcome associated with uterine rupture and to determine how to decrease the maternal morbidity and mortality pertaining to it, as it is indeed a preventable obstetric catastrophe!Methods: This is a retrospective study which was carried out in our institute. Analysis of 45 cases of uterine rupture including scar dehiscence, registered/emergency, rupture occurring in the antepartum or intrapartum period, irrespective of previous vaginal or cesarean delivery was done between July 2017 to June 2019 out of 16,330 deliveries. None of the cases were excluded. Statistical analysis was done comparing the mortality in general population and study population and it was determined that it contributes to the maternal mortality significantly hence making it essential to promptly diagnose and treat the cases.Results: The incidence of rupture of uterus is average 0.27% (1 in 362). Out of 45 cases 9 (20%) were registered, and 36 (80%) were referred patients. The 20-30 years age group is the most vulnerable. Scarred uterus undergoing rupture were 34 (75.55%) as compared to rupture in intact uterus which were 11 (24.44%). The commonest modality of treatment used is suturing of tear which was done in 34 (75.55%) followed by total hysterectomy. There were 2 maternal deaths giving maternal mortality rate of 4.44% and perinatal mortality occurred in 18 (40%) cases.Conclusions: Uterine rupture is a dire emergency with a high incidence of maternal and fetal morbidity and mortality. Skilled attendance with accessible obstetric care, focused antenatal care, strict intrapartum monitoring and good surgical approach are key elements for the prevention and management of uterine rupture