Volume 12 | Issue 5

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Catalepsy, Halperidol,mice,pine oil,neutraceutical,parkinson's disease, natural remedies

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Aquaponics farming method is growing plants in soil less farming along with fishes. Plants are growing using mineral nutrient solutions and organic nutrients from fishes, water being the solvent. The smart aquaponics farming system consists of hydroponic growing system, aquarium and Arduino Uno as the controlling system monitoring essential factors affecting the plants. The main objective is to reduce human intervention during the implementation of hydroponic farming method. The factors like pH, water level is continuously observed and upon any variation that affect plant is notified to the user.

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"HYDROPONIC AND AQUAPONIC ANALYSIS"

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Purpose- The purpose of the study is to investigate Influencer's marketing on consumers in purchasing sustainable foods. Nowadays, consumer's consumption for sustainable products is changing drastically due to increase in the awareness of health and changing to green lifestyles through influencer marketing. Methodology- This is the conceptual study based on the how consumer attitude and purchase intention of consumers is affecting them to purchase sustainable foods through influencer marketing. This study understands the conceptual framework on influencer marketing and consumers purchase intention on sustainable foods. Findings- It is observed that there is a significant shift in consumer behaviour towards the consumption of sustainable foods have occurred in recent years because of growing social media interaction by influencers which makes consumers aware of their health. Considering the growing customer demand for sustainable products options, this study offers relevant practical information for the influencers involved in creating content and marketing for sustainable foods. Originality- This study tries to fill the gap in the literature review by studying the purchase intention and attitude of the consumers towards sustainable foods through influencer marketing. Very few studies have been conducted on the impact of influencer marketing on consumers in purchasing sustainable foods irrespective of Indian consumers.

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Influencer marketing, Consumer attitude, Purchase intention, Sustainable foods

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The Asclepiadaceae family includes Calotropis Procera, (Aiton) R.Br., a plant which grows wild. Native of Indo-China, North Africa, and Southern Asia, Calotropis Procera serves as a blooming plant. Due to the latex material the plant produces, they are frequently referred to as milkweeds. In various parts of the world, species of Calotropis Procera are considered as common weeds. In every Indian home, the plant is a vital component of traditional herbal treatments. This plant contains variety of biologically active chemical elements in different portions of the plant, such as tannins, sugars, alkaloids, saponins, flavonoids, phenols, cardenolides, and steroids. Anti-inflammatory, analgesics antidote, antibacterial, anthelmintic, antipyretic, cancer prevention, antiangiogenic, gastroprotective, kidney protective, liver-protective, antioxidant, antidiarrheal, improved healing of wounds, anticonvulsant, anti-diabetic, immune function, smooth muscle relaxant, etc. are just a few of the numerous pharmacological effects it exhibited. The primary aim of this overview is to furnish preliminary data regarding the chemical constitution and pharmacological properties of species Calotropis Procera.

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Calotropis Procera, pharmacology, chemical constituents.

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Water is a vital resource for the survival of humans, animals, and plants. However, its quality is not always suitable for drinking or other uses due to factors like industrialization, pollution, and natural occurrences. The World Health Organization has guidelines to determine the threshold levels of various parameters in water samples. The Water Quality Index (WQI) and Irrigation WQI (IWQI) are used to assess overall water quality. Collecting and measuring water samples can be challenging, but a proposed network architecture uses real-time data collection and machine learning tools to automatically determine the suitability of water samples for drinking and irrigation. The network is based on LoRa and considers the land topology. Simulations indicate a partial mesh network topology is most suitable. Since there is a lack of large datasets on drinking and irrigation water, new datasets were developed for training machine learning models. Three models (Random Forest, Logistic Regression, and Support Vector Machine) were evaluated, with Logistic Regression performing best for drinking water and Support Vector Machine for irrigation water. Recursive feature elimination was used to identify the water parameters with the greatest influence on classification accuracies.

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drinking water, irrigation water

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The experience of waiting in lines is a common concern for people across different aspects of life. In educational settings, students are often delayed during meal payments, which needs effective solutions. This study aimed to address the concern by creating a Self-Service Kiosk using liquid crystal display modules. Methodology: A quantitative approach and an experimental research design were used to assess the processing speed, accuracy speed, and transaction speed of the device. Results: The results of the study proved that the self-service kiosk effectively displayed information on the LCD 20x4 screen for as early as 0.24 milliseconds. This indicated varied button response times, with "add to cart" consistently fast averaging 0.13 milliseconds, while "reset cart" was slightly slower at 0.15 milliseconds. The "Total Price" button maintained stable response times at 0.24 milliseconds. The processing speed showed an average of 100% accuracy rate for all buttons, while the transmission speed between the kiosk and the host device displayed as fast as 0.193 milliseconds, which emphasized the importance of button responsiveness. Discussion: The purpose of the Self-Service Kiosk was to enhance efficiency and augment customer experience in the context of a school canteen, which aided in creating a simplified ordering system and optimizing workflow. The success of each trial was evident, which affirmed the reliability and effectiveness of the kiosk. Recommendation: Future researchers are recommended to integrate higher-quality materials to improve the device's performance. Exploring alternative features could optimize the user experience in similar settings while considering possible limitations.

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Arduino Uno, LCD Modules, Self-Service Kiosk

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INTRODUCTION: Diabetes mellitus is one of the most common and challenging disease conditions of 21st centuary. It is a chronic complex progressive and multisystem disorder with life threatening micro and macrovacular complications. WHO defined Diabetes mellitus as a metabolic disorder of multiple etiologies characterized by chronic hyperglycemia with disturbances in carbohydrate, fat and protein metabolism resulting from defects in insulin secretion, insulin action, or both. METHODS: The plant leaves was collected locally from herbal store and botanical garden of the garden of the botany central council for Research Ayurvedicand Sidha Govt. of India .The plant was identified and authenticated by comparison with herbarium specimens. RESULTS: The dried powdered course blend of leaf form TelcomaStansare undergone successive solvent extraction using alcohol and water as solvents. A comparatively greater extractive value was obtained in alcoholic extract of the leaf. CONCLUSION: The current anti-diabetic drug research is facing complex challenges. As times go on it demands an integrated approach towards the health care system.There has been a growing interest in natural medicinal plant related research37.

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Plant leaves, herbal ,medicinal plants, telcoma stans.

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Bharat me haashiye par pade samuho ke beech raajneetik chetna ka vikas: Dr. Bhimrao Ambedkar ki bhumika

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Rajnitik Chetna, Samajik Sudhar,Savidhan , siksha, Bhedbhav aadhi.

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This paper takes a closer look at how technology is making a big impact on promoting sustainability in the tourism industry. It starts by acknowledging the challenges that the industry faces in being more sustainable. Then, it dives into different ways technology is helping out, like with smart destination management systems, mobile apps that encourage responsible travel, and tools that use blockchain to keep supply chains transparent. These tech solutions are empowering people in the tourism sector to use resources more efficiently, encourage tourists to behave responsibly, and keep an eye on how well tourism businesses are doing in terms of sustainability. It also talks about how exciting new technologies like artificial intelligence, virtual reality, and the Internet of Things can really change the game for sustainable tourism. Imagine getting personalized recommendations for being more eco-friendly while traveling, or experiencing different cultures in immersive ways. But, it's also important to consider the ethical and privacy issues that come with using these technologies.

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Technology, Sustainability, Tourism industry, Challenges, Smart destination management systems, Mobile apps, Responsible travel, Blockchain, Artificial intelligence, Privacy issues

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This study investigates the relationship between gaming engagement, social connectedness, and psychological well-being among gamers and non-gamers. The sample consisted of 75 gamers and 75 non-gamers.T-tests were conducted to compare mean values between gamers and non-gamers, and correlation analyses were used to explore the relationships between these variables. The results revealed that gamers reported significantly higher levels of game engagement than non-gamers. However, there was no significant difference in social connectedness between the two groups. Interestingly, there was also no significant difference in psychological well-being between gamers and non-gamers. These findings highlight the importance of a balanced approach to gaming and leisure activities, as well as promoting positive well-being among gamers.

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Game engagement, social connectedness, psychological well-being, gamers and non-gamers

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Bioinorganic compounds, such as copper compounds, are cancer chemotherapeutics used alone or in combination with other drugs. One small group of copper complexes exerts an effective inhibitory action on topoisomerases, which participate in the regulation of DNA topology. Copper complexes inhibitors of topoisomerases and work by different molecular mechanisms, analyzed herein.

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Copper Complexes, Crystal structure, DNA-interaction, Cytotoxicity

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Skin cancer, a pervasive and potentially life-threatening ailment, demands early detection and intervention for effective treatment. We present a system for skin cancer type identification utilizing deep learning methodologies. Our approach employs a convolutional neural network (CNN) architecture based on the ResNet50 model, trained on a comprehensive dataset of skin lesion images annotated with seven distinct types of skin cancer.

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ResNet50 model, deep learning ,convolutional neural network

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The study of handwritten Text recognition has gained popularity. The handwritten characters that were scanned as input in the proposed technique were identified using a variety of machine learning algorithms.. It segments each character in the image and recognises the letters after receiving the handwritten document as input in the form of a high resolution image. Additionally, it recognises the letters before going on to find the words in the image. Based on the training it received from the training data, this is accomplished with the help of machine learning algorithms. The specified input image will be provided in word document format as the intended output. Large data sets of images that display the various writing styles and shapes can be used to train the system. When training the system with vast amounts of data, machine learning is crucial. This can also be used to businesses and organisations that only keep critical records in writing form. Through this review and implementation, we aim to provide researchers and practitioners with insights into the current landscape of HTR techniques and offer a practical guide for building accurate and efficient handwritten text recognition systems.

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Handwritten Text Recognition, OCR, CNN and RNN Network.

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Catalepsy, Halperidol,mice,pine oil,neutraceutical,parkinson's disease, natural remedies

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In India, the monetary, political, and social soundness depends straightforwardly as well as in a roundabout way on farming efficiency. The agrarian item quality and efficiency are impacted by the various illnesses in plants. Thusly, sicknesses location in plants is vital in the farming field. Leaf illness identification by utilizing different AI strategies is an extremely well known field of study. There have proactively been many promising results yet a couple of genuine applications that can simplify life for the rancher. AI method turns into the most reliable and exact worldview for the location of plant's sickness which is useful to decrease a larger than average work of watching in colossal homesteads of harvests, and a beginning phase itself it identifies the side effects of illnesses on plant leaves. Recognizable proof of the plant sicknesses is the way to forestalling the misfortunes in the yield and amount of the agrarian item. The investigations of the plant infections mean the investigations of outwardly detectable examples seen on the plant. Wellbeing observing and illness location on plant is extremely basic for practical agribusiness. It is truly challenging to physically screen the plant illnesses. It requires colossal measure of work, expertize in the plant sicknesses, and furthermore require the over the top handling time. Thus, picture handling is utilized for the identification of plant infections. Illness discovery includes the means like picture procurement, picture pre-handling, picture division, highlight extraction and grouping. Profound learning-based PC vision methods like Con-volutional Brain Organization (CNN) and customary AI based picture arrangement approaches are being applied to recognize plant illnesses

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Plant health detection, precision agriculture,deep learning ,object detection, Convolutional Neural Network (CNN),Computer Vision

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The likelihood and severity of network information insecurity are now rising quickly. The methods mostly used by hackers today are to attack end-to-end technology and exploit human vulnerabilities. These techniques include social engineering, phishing, pharming, etc. One of the steps in conducting these attacks is to deceive users with Phishing Uniform Resource Locators (URLs). As results, Phishing URL detection is of great interest nowadays. There have been several scientific studies showing a number of methods to detect Phishing URLs based on machine learning. In this project propose a Phishing URL detection method using machine learning techniques based on our proposed URL behaviours and attributes. Moreover, bigdata technology is also exploited to improve the capability of detection Phishing URLs based on abnormal behaviours. To put it briefly, the proposed detection method is made up of big data technologies, a machine learning algorithm, and a new collection of URL properties and behaviours. The experimental results show that the proposed URL attributes and behaviour can help improve the ability to detect Phishing URL significantly. This is suggested that the proposed system may be considered as an optimized and friendly used solution for Phishing URL detection.

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URL, Machine Learning, Phishing, Big Data

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"Childhood should be carefree, playing in the sun; not living a nightmare in the darkness of the soul" The quote mentioned above portrays a utopian landscape as to how children should be in our society. Children are pure souls who are to be cherished and protected at the bane of society, however when evils like Child Abuse, Sexual Harassment, Rape mar the existence of these innocent beings, it is not only shameful for the society but imperious to be tackled and prevented. The society collectively from these evils rather than stigmatising the inherent concept. A well-structured legislation to safeguard the rights and well-being of children, becomes imperative when the deleterious impact of child sexual abuse on victims' health and overall development is realised by the society. The constitution of India enshrines the right of children, and in recognition of the inadequacy of existing laws, such as the Indian Penal Code and Criminal Procedure Code, to address sexual offences against children, the parliament enacted the landmark "Protection of Children from Sexual Offences (POCSO) Act" in 2012. In this research paper, we will focus on the legislation that has been aimed at filling the void left by precedents to provide a well-defined mechanism of preventing sexual abuse of children, and protect them from such heinous acts. The paper will also shed light on the role of child sexual abuse as a pressing social-legal issue, emphasising that violating of children'a rights constitute violations of human rights. The study aims to elucidate the distinguishing features of the POCSO Act and offer suggestions to address the problem of child sexual abuse and protect the rights of children.

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Child sexual abuse (CSA), Child, POCSO, Human Rights

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The perception that natural medicines are safer and have fewer negative effects than synthetic ones makes them more popular. Global demand for herbal formulations is rising. This work focuses on creating and assessing a herbal face wash that fights acne. It contains aqueous extracts of neem leaves (Azadirachta Indica), turmeric (Curcuma Longa), liquorice root, shahi jeera, orange peel extract, and nutmeg fruit (Myristica Fragrance). When oil cells become clogged, acne is the most prevalent chronic inflammatory illness. While there are many topical herbal formulations for acne on the market, our proposal is to create a pure polyherbal formulation. The plants' strong antibacterial, antioxidant, and anti-inflammatory properties have been documented in the literature. A number of factors, including spreadability, pH, color, look, and consistency, were assessed for each recipe. The commercial preparation and the optimized formulation batch were contrasted. Batch F2 was determined to be the most optimal for all parameters out of all the formulation studies. The attempt to create a herbal face wash with neem leaf, turmeric rhizome, and nutmeg fruit extract proved excellent.

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Neem, Xanthan gum, Poly Herbal, herbal ingredients anti-acne face wash.

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Oxidative decarboxylation of phenylsulfinylacetic acids (PSAAs) by iron(III) polypyridyl complexes in anionic surfactant SDS medium has been investigated spectrophotometrically. An initial intermediate formation between PSAA and [Fe(NN)3]3+ is confirmed from the observed Michaelis-Menten kinetics and fractional order dependence on PSAA. Non-linear concave upward Hammett plots are obtained on applying the Hammett substituent constants to the overall rate constants obtained in SDS medium. A suitable mechanism involving the formation of Diphenyl sulphone as the product has been proposed. The observed increase in rate with increase in concentration of SDS at low concentrations clearly shows that the reaction takes place in micellar medium and both the reactants are associated or incorporated into micellar phase. Kinetic models are proposed to explain the SDS micellar effects.

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*Corresponding author. Tel.: +91 9486251734, E-mail address: jeeviesther@gmail.com (R. Jeevi Esther Rathnakumari),

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This research paper delves into the multifaceted landscape of corporate governance across various global contexts. Through a comparative lens, it investigates the distinctive frameworks, mechanisms, and practices employed by different nations to govern corporate entities. By synthesizing empirical data, theoretical perspectives, and case studies, the paper elucidates the nuanced interplay between cultural, institutional, and regulatory factors shaping corporate governance systems. Additionally, it scrutinizes the implications of these diverse governance models on firm performance, stakeholder interests, and broader socio-economic outcomes. Through comprehensive analysis and critical insights, this paper contributes to a deeper understanding of the complex dynamics underpinning corporate governance worldwide, offering valuable insights for policymakers, practitioners, and scholars alike.

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Corporate Governance, Comparative Study of Corporate Governance, Corporate Governance System

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