Volume 11 | Issue 9 |

 Abstract

Abstract In India extensive use of pesticide in agriculture causing the increased concentration. The hazardous residue of these pesticides in fruits and vegetables. The contamination of pesticides present in fruits and vegetable is directly affecting the human health. The aim of this study was access to the residue of commonly used pesticides viz. Dichlorovos, , Diazinone, Fenitrothion , Malathion, , Chlorpyrifos and ethion respectively . In this study taken two vaerities of mango amarpali and chausa. The samples were collected from vegetables and fruits from the market of Ghaziabad. First of all collected sample washed, peel and to prepare for analysis of GCMS and using standered methods and validifaction for detection of pesticides residue. Most of the sample were found to be contaminated with a different variation of pesticides residue. In the present study the finding showed that amarpali contained Dichlorovos, , Diazinone, Fenitrothion, Malathion, Chlorpyrifos and Ethion 0.030, 0.00051, not detected (0.00), 0.006, 0.0068, and 0.0001 mg /Kg respectively. The Chausa obtained Dichlorovos, Phorate, Diazinone, Fenitrothion, Malathion, Chlorpyrifos and Ethion 0.0024, 0.00076, 0.0013, 0.0076, 0.0035, and 0.001 mg /Kg. The entire samples were under permissible limits. FAO/WHO recommended the permissible limit of pesticides residue in fruits, vegetable and food items for the sake of public health.

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Key word -Mango, Fruits, Pesticides, Variries, Fruits and Vegetable, Human health.

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The main goal of this research is to investigate voltage boosting using an efficient DC-DC boost converter and different advanced controllers. The study focuses on optimizing the DC-DC boost converter's key parameters to raise solar panel output voltage to a desired level. Various controllers, including Proportional-Integral-Derivative (PID), Sliding Mode, Artificial Neural Network (ANN), and fuzzy logic controllers, are employed. These controllers are rigorously evaluated through simulations in MATLAB/SIMULINK under both static and dynamic load conditions. The research examines controller responses across different load settings to reveal their strengths and weaknesses. This investigation contributes valuable knowledge about these controllers' effectiveness and adaptability for voltage boosting. The research outcomes could significantly enhance renewable energy systems, advancing efficient and sustainable power generation techniques.

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 Keywords

PID controller, Sliding Mode Controller, Artificial Neural Network, Fuzzy Logic Controller, DC-DC Boost Converter.

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Over the last decade ,EFGR inhibitor has been increasingly be used for the treatment of advanced SCC and head and neck squamous cell carcinoma. Treatment with EFGR inhibitor can lead to wide range of dermatological side effect which include papulopustular lesions, alopecia, mucositis and nail changes.

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Pride syndrome

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This research paper investigates how mindfulness practices in the place of work can reduce employees anxiety about the possibility that synthetic intelligence (AI) will take their jobs away, with the help of knowledge of A.I.-based mind revolution in common associations. Working environment care, which incorporates zeroing in on a selected objective without judgment, can lower pressure, increment center, and further expand painting fulfilment. Employees can become more receptive to AI technology and increase the resilience and flexibility essential to gain new possibilities by adopting an aware mindset. This paper discusses how the place of business mindfulness can alleviate employees worry and the capability effect of the AI era on employment. It finishes with affordable proposals for associations hoping to execute care practices to increase an inspirational perspective closer to innovation and broaden a working environment way of life that embraces alternatives. In the give up, this paper emphasizes the importance of mindfulness inside the place of work and the opportunity that it can lessen tension and resistance to technological advancements.

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Working environment care, Man-made consciousness (computer-based intelligence), Feeling of dread toward employment cutback, Business opportunity, Versatility, Worker tension, Worker stress, Work fulfillment, Confident culture

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Atopic dermatitis (AD), also known as eczema, is a common chronic inflammatory skin disorder that affects both children and adults worldwide. The etiology of AD is multifactorial, involving complex interactions between genetic, immunological, and environmental factors. In recent years, there has been growing interest in exploring the potential impact of breastfeeding on the development and management of AD. In this study we aims to provide prevalence regarding the relationship between breastfeeding and atopic dermatitis, including its preventive and therapeutic aspects.

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Atopic dermatitis, breastfeeding, eczema, immune system, prevention, management.

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People have used plants as medicine from the beginning of time. Aspirin, (which is derived from willow bark), digoxin, and both morphine and quinine, (were all developed from opium poppies and cinchona bark, respectively, a century ago) which are all valuable pharmaceuticals today. The Arecaceae family includes the tropical perennial crop known as coconut (Cocos nucifera L.), which has a variety of applications. It is cultivated in more than 80 different countries and sustains life in fragile coastal and island ecosystems.Since every component of the coconut tree (Cocos nucifera L.) has value in some form, it is referred to as "Kalpavriksha". This research demonstrates the potential of coconut leaves to exhibit significant anthelmintic activity, good antibacterial and antifungal activity.

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Coconut, Cocos nucifera (L), Kalpavruksha, Anthelmintic, Antibacterial and Antifungal

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The swadeshi movement accordingly consisted, economically, of using goods produced in the country in preference to those imported from abroad, and politically of making the administration as far as possible India. According to Gopal Krishna Gokhale "one of the most gratifying signs of the present times is the rapid growth of the swadeshi sentiment all over the country during the last two years (1907) that swadeshism at its highest is not merely an industrial movement, but that it affects the whole life of the nation - that swadeshism at its highest is a deep, passionate, fervent, all-embracing love of the motherland, and that this love seeks to show itself, not in one sphere of activity only but in all; it invades the whole man, and it will not rest until it has raised the whole man. Tilak, leader of the extremists, stressed in his speech at the Congress that the basic goal of the swadeshi programme, the boycott and national education, the attainment of swaraj or independence. In fact, swadeshism is a large term which includes politics and to be a true swadeshi one must look on all times - whether political or industrial or economical - which converge our people towards the status of a civilized nation.

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Swadesi, Karnataha, Tilak

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Electrical Discharge Machining (EDM) is a non conventional machining process, where electrically conductive materials are machined by using an accurately controlled spark that takes place between an electrode and a work piece in the existence of a dielectric fluid. It has always been a demand to model and optimize the EDM process in the current situation. Experimentation on Oil Hardened Non-Shrinking (OHNS) Die Steel has been carried out on EDM using copper as an electrode material. The experimental results have been used to train ANN using Back-Propagation Algorithm which provides the optimum value of the performance parameters like Material Removal Rate (MRR) and Surface Roughness (SR) based on the influence of electrode material and processing parameters such as Discharge Current, Voltage, Pulse On Time, Pulse Off Time and Flushing Speed.

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Material Removal Rate (MRR), Surface Roughness (SR), Artificial Neural Network (ANN), Back-Propagation (BP)

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Fashion recommendation systems are pivotal for enhancing online shopping using deep learning, specifically ResNet-50. Our Fashion Recommendation System (FRS) employs ResNet-50 to process and represent fashion images' key attributes like color and style. Content-based recommendations suggest visually similar items based on user preferences. The FRS evolves through machine learning, delivering improved user engagement and conversion rates in e-commerce fashion. This paper reviews and explores fashion recommendation systems and filtering techniques, filling a gap in academic literature. It serves as a valuable resource for machine learning, computer vision, and fashion retailing professionals. We trained our model using a large image dataset, including the multiple category labels, descriptions and high-res images of fashion products, which consists of 44k+ images. The results have been promising, indicating potential real-world applications such as searching for a product using its digital copy in large sets of images.

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Fashion Recommendation System; E-commerce; Filtering Techniques; Deep learning System; ResNet50 Convolutional Neural Network.

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This paper proposes a novel convolution-non-convolution parallel deep network (CNCP)-based method for electricity theft detection. First, the load time series of normal residents and electricity thieves were analyzed and it was found that, compared with the load time series of electricity thieves, the normal residents' load time series present more obvious periodicity in different time scales, e.g., weeks and years; second, the load times series were converted into 2D images according to the periodicity, and then electricity theft detection was considered as an image classification issue; third, a novel CNCP-based method was proposed in which two heterogeneous deep neural networks were used to capture the features of the load time series in different time scales, and the outputs were fused to obtain the detection result. Extensive experiments show that, compared with some state-of-the-art methods, the proposed method can greatly improve the performance of electricity theft detection.

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 Keywords

Sustainable Energy

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