Effect of stage of harvest on the quality of cardamom (Elettaria cardamomum Maton)

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Role Of Self Help Groups In Promoting Rural Entrepreneurship For Strengthening Aatma Nirbhar Bharat

The corona-19 pandemic has pervaded into every nook & corner of the world. Since the entire globe has announced lockdown for uncertain period, the commercial activity has pushed the indicators of economic health in a state of depression. A multi-centered approach is the need of the hour to take the economy out of this crisis. In India on May 12th, the Prime Minister, Mr. Narendra Modi, announced a special economic package of Rs 20 lakh crore with the aim of making the country independent against the tough competition in the global supply chain and to help in empowering the people who have been adversely affected by COVID. In order to achieve this vision, India needs to focus on holistic and sustainable development. The formation of SHGs is a holistic program with an objective to bring the rural entrepreneurs in a platform and encourage them to initiate innovation. This research paper makes an attempt to study the potentialities of Self Help Group ( SHGs) in strengthening economy of India to support Atma Nirbhar Bharat Abhiyan

Dynamic capabilities to match multiple product generations and market rhythm

Purpose : The purpose of this paper is to provide greater insights to managers seeking to time properly the launches of innovative new products (NPs) across multiple generations. This paper aims to address the rhythm matching problem by developing a typology and a conceptual framework of the interaction between a firm’s technological readiness to launch NPs and a market’s receptivity in influencing a firm’s long-term performance. Design/methodology/approach –:Based on the new product development (NPD) and diffusion of innovation literatures, the paper develops a model explicitly to address the rhythm matching problem by highlighting the interaction between a firm’s technological readiness to launch new products and a market’s receptivity in influencing a firm’s long-term performance. The logic of this model may be described as follows: long-term performance is a function of matching: products to customer needs, marketingmix dynamics to customer segments and buying behavior dynamics, and logistics, supply chain management, and inventory to market dynamics and financial efficiency; uncertainty in: knowledge of needs, market segments and their dynamics, and market dynamics is all a function of time, as is financial efficiency. Therefore, a firm’s long-term performance is a function of these matches over time. Findings : Deriving from the proposed model and typology, it was found that in independent rhythm windows, the management focus is on a single generation and each successive generation can be planned independently. In market- imposed windows, firms aim at adapting their own NP readiness rhythm to the market receptivity rhythm. In firm-imposed windows, firms have the initiative to drive the market receptivity rhythm. In dynamically resultant windows, everything is more complicated because firms’ NP readiness rhythm and market receptivity rhythm influence each other. Originality/value : The model and typology developed in this paper are a breakthrough result of synthesizing various traditions of NPD and diffusion of innovation research. It is believed that the paper provides a rich conceptual framework drawing together extant research on the development and introduction of new products. The framework is intended both to explicitly inform managers of the importance of rhythm matching as well as to the factors that influence such matching. It is also intended to provide a lens with which further research can be directed to increase the efficiency and effectiveness of resource utilization in NPD and the long- term success of the firms

CUSTOMER SATISFACTION TOWARDS HOSPITALS A STUDY ON SELECTED HOSPITALS AT SHIVAMOGGA CITY

CUSTOMER SATISFACTION TOWARDS HOSPITALS A STUDY ON SELECTED HOSPITALS AT SHIVAMOGGA CITY The opening of Indian economy since 1991 has given a new dimension to the economic structure of the country. The service sector is contributing more than 50% to the GDP. In service sector the contribution of healthcare sector towards GDP is significant.  India will spend a huge          Rs 200,000 crore on healthcare in the next five years as the country witnessing changes in its demographic profile accompanied with lifestyle diseases and increasing medical expenses. Nearly 80 per cent of the required investment is coming from the private sector. The government spending on healthcare is around 0.9 per cent of the total GDP, which limits the extent and effectiveness of the coverage it can provide. Private healthcare will continue to be the largest component in 2012 and is likely to double to    Rs 156,000 crore.  Therefore the study focuses on services provided by private hospitals.   Â

A framework for innovative service design

Drawing on research from design science, marketing and service science, our paper provides an integrated framework for evaluating and directing innovative service design. The main goal of our review is to highlight the strengths of existing frameworks and to suggest how they can be enhanced in combination with design science principles. Based on our review, we propose a new framework for the design of innovative services that integrates several key paradigmatic approaches and identifies fundamental open research questions. Our approach is unique as it combines three service disciplines, namely services marketing, service science, and design science, and provides a new framework that describes step by step the procedure that needs to be taken and the conditions that need to be met for developing innovative services. We believe that providing such a framework is a valuable addition to the literature

EVALUATION OF BIOACTIVITY OF JAGGERY PREPARED USING PLANT MUCILAGE AS CLARIFICANT

Objective: The aim of the study was to prepare the jaggery using plant mucilage as clarificants and to evaluate the bioactivity of jaggery by determining total phenols, total flavonoids, reducing power, antibacterial activity, and antihelmintic activity.Methods: Jaggery was prepared from sugarcane variety Co-80632 using five plant mucilage as clarificants, namely Aloe vera, flax seeds, fenugreek, purslane, and malabar spinach at three different concentrations, i.e., 0.1%, 0.2%, and 0.4% of raw sugarcane juice. The characteristic bioactivities such as total phenol content by Folin–Ciocalteu method, flavonoids content by spectrophotometer method, reducing power assay by measuring the absorbance at 700 nm, antibacterial activity by well-diffusion method, and antihelmintic activity by in vitro were determined.Results: The highest total phenolic content was observed in jaggery prepared using plant mucilage clarificant of A. vera (JAV4 [3.68±0.02]) and Fenugreek seeds (JFG4 [3.61±0.02]) at 0.4% followed by them at 0.2% and 0.1% concentration, respectively. Similarly, a significant amount of total flavonoids content was elevated only in 0.4% plant mucilage clarificants of Aloe vera-treated experimental group jaggery (0.73±0.01) compared to control (0.61±0.02). Further, the antioxidant activity of jaggery was evaluated by reducing power. The increased absorbance at 700 nm indicated the presence of reducing power. At 10 mg/ml concentration, an absorbance unit of 1.93 and 1.80 was observed for jaggery prepared using 0.4% concentration of A. vera and fenugreek seed mucilage clarificants. Antihelmintic activity of jaggery showed dosage depended on the pattern where with the increase in the concentration of mucilage, the antihelmintic activity enhanced. A. vera mucilage showed maximum antihelmintic activity at 0.4% concentration with paralytic time (28.6 min) and death time (39.6 min).Conclusion: Jaggery prepared using plants mucilaginous clarificants is the richest source of polyphenols such as phenolic acids and flavonoids, thereby contributed to the enhancement of bioactivity such as antioxidant, antibacterial, and antihelmintic activity. Thus, jaggery prepared using plant mucilage as clarificants is a novel nutraceutical product which can supplement the nutrients along with various medicinal properties through antioxidant, antibacterial, and antihelmintic activity

A PROSPECTIVE STUDY ON EFFECT OF FLUOXETINE ON PRIMARY HEMOSTASIS OF PATIENTS HAVING MAJOR DEPRESSIVE DISORDER

Objectives: The objectives of the study were to study the effect of fluoxetine on bleeding time, clotting time and platelet count of depressed patients. Methods: Patients diagnosed with major depressive disorder were included in the study to fulfill a sample size of 60. Before starting the treatment with fluoxetine, laboratory tests were done which included bleeding time, clotting time, and platelet count. Patients were requested to return for follow-up after 4 weeks of treatment and the laboratory tests were repeated. All the study end point analysis was analyzed based on per-protocol population. Continuous variables were expressed as mean and standard deviations, paired t-test was used for within group comparison and unpaired t-test was used for between group comparisons. p<0.05 was considered to be significant. For categorical variable, frequency and percentage were calculated. For continuous variable, that is, bleeding time, clotting time, and platelet count, mean and standard deviation were calculated. Results: At the end of 4 weeks, it was observed that there was a significant increase in bleeding time from 1.35±0.08 min to 1.46±0.08 min**. Similarly, there was a significant increase in clotting time from 3.30±0.15 min to 3.38±0.15 min**. It was also observed that there was a significant decrease in platelet count from 3.07±0.67 lakh cells/cu mm to 2.86±0.63 lakh cells/cu mm**. Conclusion: Fluoxetine has shown to increase bleeding time, clotting time, and decrease platelet count. Hence, fluoxetine induced risk of bleeding and its cardio protective action has to be considered while individualizing therapy in management of depression

Spatially Continuous Strain Monitoring using Distributed Fiber Optic Sensors Embedded in Carbon Fiber Composites

A distributed fiber optic strain sensor based on Rayleigh backscattering, embedded in a fiber-reinforced polymer composite, has been demonstrated. The optical frequency domain reflectometry technique is used to analyze the backscattered signal. The shift in the Rayleigh backscattered spectrum is observed to be linearly related to the change in strain of the composite material. The sensor (standard single-mode fiber) is embedded between the layers of the composite laminate. A series of tensile loads is applied to the laminate using an Instron testing machine, and the corresponding strain distribution of the laminate is measured. The results show a linear response indicating a seamless integration of the optical fiber in the composite material and a good correlation with the electrical-resistance strain gauge results. The sensor is also used to evaluate the strain response of a composite-laminate-based cantilever beam. Distributed strain measurements in a composite laminate are successfully obtained using an embedded fiber optic sensor

Reducing data movement costs using energy-efficient, active computation on ssd

ABSTRACT Modern scientific discovery often involves running complex application simulations on supercomputers, followed by a sequence of data analysis tasks on smaller clusters. This offline approach suffers from significant data movement costs such as redundant I/O, storage bandwidth bottleneck, and wasted CPU cycles, all of which contribute to increased energy consumption and delayed end-toend performance. Technology projections for an exascale machine indicate that energy-efficiency will become the primary design metric. It is estimated that the energy cost of data movement will soon rival the cost of computation. Consequently, we can no longer ignore the data movement costs in data analysis. To address these challenges, we advocate executing data analysis tasks on emerging storage devices, such as SSDs. Typically, in extreme-scale systems, SSDs serve only as a temporary storage system for the simulation output data. In our approach, Active Flash, we propose to conduct in-situ data analysis on the SSD controller without degrading the performance of the simulation job. By migrating analysis tasks closer to where the data resides, it helps reduce the data movement cost. We present detailed energy and performance models for both active flash and offline strategies, and study them using extreme-scale application simulations, commonly used data analytics kernels, and supercomputer system configurations. Our evaluation suggests that active flash is a promising approach to alleviate the storage bandwidth bottleneck, reduce the data movement cost, and improve the overall energy efficiency