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Joshi, Gayatri
- Demand and Preference for Mango Pulp in the Catering Segment in South Gujarat
Authors
1 ASPEE Agribusiness Management Institute, Navsari Agricultural University, Navsari, Gujarat, IN
2 Aspee Agribusiness Management Institute, Navsari Agricultural University, Navsari, Gujarat, IN
Source
International Journal of Commerce & Business Management, Vol 6, No 2 (2013), Pagination: 178-181Abstract
South Gujarat is one of the important clusters of mango pulp in the country with a number of processing units in the region with a good backward linkage of Alphonso and Kesar variety of mangoes. Mango pulp is an important value aded product of mango. A number of processing units have been manufacturing mango pulp and marketing it in local as well as national and international markets. In order to understand the demand for mango pulp in the catering segement and to help the mango pulp processors compete more effectively in an increasingly competitive landscape, the present study was undertaken during 2011 with the objective to understand the caterers demand and preference for mango pulp . Three districts of South Gujarat Navsari, Valsad and Surat were selected for the study. Primary data were collected using personal interview of caterers and mango pulp processors. A total sample of 20 caterers and 10 mango pulp processors was taken for the study. It was found that the catering segments held lot of potential for marketing of mango pulp as mango pulp is considered a delicacy and a speciality product offered on special occasions in Gujarat. Caterers prefer to buy directly from the processors and buy in bulk quantities. Caterers consider price of mango pulp and its taste important factors affecting their purchase decision.Keywords
Mangopulp, Caterers, Preference- Literature Review of Signal Processing Methods for SSVEP-Based BCI
Authors
Source
Programmable Device Circuits and Systems, Vol 10, No 6 (2018), Pagination: 104-107Abstract
A Brain–Computer Interface (BCI) is a communication system based on neural activity. Brain Computer Interfaces (BCIs) can provide severely impaired users with alternative communication paths, by means of interpretation of the user’s brain activity. Among BCI operating paradigms, SSVEP is largely exploited for its potentially high throughput and reliability. Steady State Visually Evoked Potentials (SSVEP) are signals that are natural responses to visual stimulation at specific frequencies.
The signal processing algorithm is of key importance to the performance of BCI systems, and therefore plays a significant role in practical applications. The aim of this paper is to suggest a robust algorithm to implement SSVEP-based BCI. Techniques employed for signal preprocessing, feature extraction, and feature classification are discussed. Selected methods for pre-processing are: band-pass filtering, notch filtering, MEC and MCC. These methods are compared on the basis of performance. The spectral representation of EEG signals is required as visually evoked potential affects the fundamental as well as harmonic frequencies of the particular frequency component. Thus, Fourier transform is used. The value comparison and classifier methods are used for feature classification.
Keywords
Brain Computer Interface (BCI), Maximum Contrast Combination (MCC), Minimum Energy Combination (MEC), Steady-State Visual Evoked Potential (SSVEP).- Development and Evaluation of Nano Herbosomes of Eleocarpus Ganitrus for Antioxidant Activity
Authors
1 Faculty of Pharmacy, Pharmacy Academy, IFTM University, Lodhipur Rajput, Delhi Road, NH-24, Moradabad, U.P. 244102., IN
2 2School of Pharmaceutical Sciences, IFTM University Moradabad., IN
Source
Research Journal of Pharmacy and Technology, Vol 15, No 1 (2022), Pagination: 97-102Abstract
Aim: The conventional herbal extract of plant Eleoacarpus ganitrus have excellent in vitro bioactivity, but have poor effectiveness in vivo or in animal models, hence there is need for the development and evaluation of nano herbosomes of herbal extract. Material and method: Formulation of Herbosomes extract was prepared by using different ratio of Soya lecithin and cholesterol (F1 to F10). The method was selected on the basis of entrapment efficiency and availability of lab facility the best method was solvent evaporation method. Fourier-transform infrared study was performed to find out compatibilities between drug and polymers. Herbosomes was successfully prepared evaluated for drug content, drug entrapment, size, zeta potential, TEM, in-vitro drug release and in-vitro kinetics. Result: FTIR study shows no interaction between polymer and drug. Drug content and drug entrapment of optimized formulation F9 was found to be 93.6 % and 72 % with vesicle size 264.1 nm. In vitro release of herbosomes optimized formulation F9 show 80.33% release in 12 hr. in a sustained release pattern. The synergistic effect determined by free radical scavenging activity of herbosomal suspension by hydrogen peroxide model. In conclusion, herbosomes successfully prepared and encapsulated. It show extended release pattern with enhanced free radical scavenging activity by hydrogen peroxide model. The study shows that phospholipid-based herbosomes is a promising and viable strategy for improving the delivery of HS and similar phytoconstituents with low aqueous solubility.Keywords
Nano-herbosomes, Eleoacarpus ganitrus, In vitro, Ex-vivo.References
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