Volume 6 | Issue 2 |

 Abstract

Bio-waste from food processing and other household related sources like flowers/ornamentals are a menace as they surely end up in landfills or dumpsters. Specially, food waste and floral ornamentals from a marriage/party hall are bigger sources for dumpsters. Getting piled up routinely, these biological wastes are degraded by anaerobic microbes resulting in an unpleasant stunk leading to compromised elegance of the surroundings. Interestingly, the plant parts considered waste are in fact rich sources of bioactive principles with greater therapeutic potential for various ailments. The wastes usually include peel, leaves, seeds of vegetables and petals of old flowers. Most of these plant products have been indicated to possess considerable quantities of various phytochemicals with potential biological activities. Owing to the marked rise in the food industry activities, there is an enormous scale of food waste generated globally. Quercetin, gallic acid, ferulic acid, resveratrol are a few popular examples of phytochemicals reported among biological wastes like peels of banana, orange, apple, seeds of guava, avocado, and petals of lilies and roses which are usually generated at home. These bioactives/ nutraceuticals have been indicated to possess significant biological activities ranging from antioxidant to anticancer properties. Numerous secondary metabolites, minerals and vitamins have been extracted from food waste, using various extraction approaches. Shortly, these approaches could provide an innovative approach to increase the production of specific compounds for use as nutraceuticals/functional food. However, there is an urgent need for a meticulous awareness program for processing these wastes at the household and locality levels. There is constant research for exploring the utilization of these bioactive by-products, to prevent pollution and related adversities. Here we review a definite list of plant wastes generated at home and their pharmaceutical propensities.

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 Keywords

Bio-waste, Nutraceutical, Waste-to-Wealth, Socioeconomic issue

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Creative Commons Attribution 4.0 and The Open Definition

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Security in Wireless sensor networks (WSN) are currently having major area due to their unlimited potential. However, it is still very early in the lifetime of such systems and many research challenges exist. In this brief article, I concentrate on six key research challenges for security in wireless sensor networks. I conclude with a brief mention of a number of other research challenges that must be met before WSN become pervasive.

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 Keywords

WSN, DSR, Selfish Node

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A noninvasive computer-aided-theragnosis (CAT) system was developed for the early therapeutic cancer response assessment in patients with locally advanced breast cancer (LABC) treated with neoadjuvant chemotherapy. The proposed CAT system was based on multi-parametric quantitative ultrasound (QUS) spectroscopic methods in conjunction with advanced machine learning techniques. Specifically, a kernel-based metric named maximum mean discrepancy (MMD), a technique for learning from imbalanced data based on random undersampling, and supervised learning were investigated with response-monitoring data from LABC patients. The CAT system was tested on 56 patients using statistical significance tests and leave-one-subject-out classification techniques. Textural features using state-of-the-art local binary patterns (LBP), and gray-scale intensity features were extracted from the spectral parametric maps in the proposed CAT system. The system indicated significant differences in changes between the responding and non-responding patient populations as well as high accuracy, sensitivity, and specificity in discriminating between the twopatient groups early after the start of treatment, i.e., on weeks 1 and 4 of several months of treatment. The proposed CAT system achieved an accuracy of 85%, 87%, and 90% on weeks 1, 4 and 8, respectively. The sensitivity and specificity of developed CAT system for the same times was 85%, 95%, 90% and 85%, 85%, 91%, respectively. The proposed CAT system thus establishes a noninvasive framework for monitoring cancer treatment response in tumors using clinical ultrasound imaging in conjunction with machine learning techniques. Such a framework can potentially facilitate the detection of refractory responses in patients to treatment early on during a course of therapy to enable possibly switching to more efficacious treatments.

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 Keywords

- Cancer treatment, computer aided theragnosis,kernel methods, maximum mean discrepancy, personalized medicine, quantitative ultrasound, supervised learning.

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The goal is to create an assistant for ultrasound guided femoral nerve block. By segmenting and visualizing the important structures such as the femoral artery, we hope to improve the success of these procedures. This article is the first step towards this goal and presents novel real-time methods for identifying and reconstructing the femoral artery, and registering a model of the surrounding anatomy to the ultrasound images. The femoral artery is modelled as an ellipse. The artery is first detected by a novel algorithm which initializes the artery tracking. This algorithm is completely automatic and requires no user interaction. Artery tracking is achieved with a Kalman filter. The 3D artery is reconstructed in real-time with a novel algorithm and a tracked ultrasound probe. A mesh model of the surrounding anatomy was created from a CT data set. Registration of this model is achieved by landmark registration using the center points from the artery tracking and the femoral artery center line of the model. The artery detection method was able to automatically detect the femoral artery and initialize the tracking in all 48 ultrasound sequences.

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 Keywords

Artery Segmentation, Artery tracking, Real-time, Regional Aneasthesia, Ultrasound

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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GST, KNN, N-Gram, Tweepy, Twitter

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Categorical Banach space theory, universal constructions, duality and adroitness

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 Abstract

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Arduino, EVM, Online voting

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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Gas sensor, Temperature, ADC MCP 3008, ANN, KNN.

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Creative Commons Attribution 4.0 and The Open Definition

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Recently, roboticists initiated inculcating morality in technologies to develop so-called ethical robots. This ethics in technology concerns the utility of methods, algorithms and tools required to endow artificial autonomous agents with the capability of being ethically aware. Robotic actions are completely in the hands of designers of the systems or those who deploy them. Engineers are always concerned about safety and reliability in their design of intelligent systems. They need to apply complex technologies to make the robots behave under different set of inputs accordingly. Sophisticated robots should possess the capacity of assessing and responding to moral considerations. However, engineers who design functionally moral robots face many constraints due to limitations of present-day technology. This paper gives a brief overview of different technical approaches that plays a major role in developing moral agents.

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 Keywords

robotic imagery, simulation module, moral competence, artificial moral agents, control architecture, branching time system.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract Saving is that amount which is being unused and then individual have an option to consume it or to invest it into the market so that he can earn return on it. Investment is putting money into an asset with the belief of capital appreciation, dividends, or interest earnings. In this study we have considered different type of expenses like committed and non committed expenses .This paper will examined the different factors which affect the expenditure pattern of households and how different variables helps in households savings

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Creative Commons Attribution 4.0 and The Open Definition

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Investment, Capital appreciation, portfolio.

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Creative Commons Attribution 4.0 and The Open Definition