Volume 12 | Issue 5 |

 Abstract

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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 Keywords

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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 Keywords

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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 Keywords

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

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 Abstract

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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 Abstract

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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 Keywords

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

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