Volume 12 | Issue 3

 Abstract

"With improved access to education and employment, millions of Indian women are entering the country's workforce today. Many working women face sexual harassment at workplace on daily basis. It is crucial therefore that as a country, we strive to eliminate work-place sexual harassment since women have the right to work in safe and secure environment. Protection of women is necessary for gender equality and development of the nation as a whole".

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education and employment, working women, sexual harassment, eliminate work-place sexual harassment

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Agrarian nations like India are highly dependent on rainfall amounts to determine the success or failure of agriculture. Most of India's agricultural produce relies on the monsoon rains and its precipitation patterns. Monsoon season provides for most water needs in India. For adequate crop planning, it is important to know average rainfall. Several experiments say that precipitation directly affects crops. Therefore, this study used machine learning techniques and algorithms to analyse Indian states' rainfall patterns using rainfall data from government during 1901-2017 period. The study concludes that machine learning algorithms are useful in analyzing and investigating about Indian states' rain fall with comparable results to those in industry standards.

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Rainfall Prediction, Machine Learning Model, Regression Analysis, Random Forest, Data Preprocessing, Accuracy Assessment

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Gold is a multifunctional material that has been utilized in medicinal applications for centuries because it has been recognized for its bacteriostatic, anticorrosive, and antioxidative properties. Modern medicine makes routine, conventional use of gold and has even developed more advanced applications. It has been shown that colloidal gold exhibits localized plasmon surface resonance (LPSR), meaning that gold nanoparticles can absorb light at specific wavelengths, resulting in photoacoustic and photothermal properties, making them potentially useful for hyperthermic cancer treatments and medical imaging applications. Modifying gold nanoparticle shape and size can change their LPSR photochemical activities, thereby also altering their photothermal and photoacoustic properties, allowing for the utilization of different wavelengths of light, such as light in the near-infrared spectrum. By manufacturing gold in a nanoscale format, it is possible to passively distribute the material through the body, where it can localize in tumors and be safely excreted through the urinary system. The possibility to modify the surface of nanogold particles with different targeting and functional compounds significantly broadens the range of their potential biomedical applications, with particular emphasis on cancer treatment. Functionalized gold nanoparticles exhibit good biocompatibility and controllable biodistribution patterns, which make them particularly fine candidates for the basis of innovative therapies. In this paper, we give a quick review of the structure, applications, recent advancements, and potential future directions for the utilization of gold nanoparticles in cancer therapeutics.

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 Keywords

Gold nanoparticles, cancer therapy, Sorption, Conjugation, Photothermal therapy.

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Face detection, a process of identifying faces within video content, has traditionally faced limitations in precision. Leveraging big data techniques can enhance speed and efficiency. Employing Apache Spark, capable of running among several nodes simultaneously, facilitates the conversion of individual video frames into an analyzable format. Utilizing the YOLO Face Detection model, rooted in deep learning, enables the detection of faces within each frame. Deep Face will then be utilized to pinpoint the target face and extract all instances across multiple frames for monitoring purposes.

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Apache Spark, Big Data, Computer Vision, Deep Face, Face Detection, YOLOv8

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The establishment of Congress dominance over the Odia political scene in 1920 precipitated a shift towards nationalism in Odisha. Initially the Sammilani justified its abstinence from anti-colonial politics by arguing that there was no need to politically oppose the colonial state as long as it was fulfilling its responsibilities properly. However, despite its best efforts, this attempt to affirm politics as governance remained riddled with contradictions. This nationalization of regional politics could not have been brought about without the intervention of a new breed of Odia intelligentsia led by Gopabandhu Das. Gopabandhu's speech was not only the harbinger of the changes in Odisha politics but also the most sustained and representative statement of the changing attitude towards political activism, the colonial government and the Indian National Congress in Odisha.

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Utkala Sammilani, Utkala Sahitya, Desha Misrana Andolana, Rachanabali

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A Chronic eye disorder called glaucoma leading to irreversible blindness by damaging the optic nerve of the eye. It is provoked due to exalted intraocular pressure inside the eye. Detecting glaucoma is the most challenging process in case of open angle glaucoma (OAG) due to lack of initial symptoms. Detecting glaucoma in the early stage is required to facilitate appropriate monitoring, treatment, and to diminish the likelihood of vision loss. In this paper, we propose a method to analyse and categorize the fundus image as glaucomatous or healthy image by employing image processing techniques to take into account the cup to disc ratio and feature extracted through Deep learning. The first step in identifying glaucoma is to measure CDR, which rises from 0.6 to 0.9 in cases of the condition. The Deep Learning-Convolution neural network model is used to automate the glaucoma diagnostic procedure and take into account additional medical data. Overfitting is avoided by adopting data augmentation technique. To make the system user friendly and interactive Graphical user interface (GUI) application is developed. The system is trained, and the outcomes show that the method performed well in categorizing the fundus images as healthy or glaucoma.

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Glaucoma, Fundus images, Open angle glaucoma (OAG), Cup to disc ratio (CDR), Graphical User Interface (GUI), convolutional neural networks, and deep learning methods.

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An inclusive workplace provides a platform to everyone, irrespective of their type of disability whether visible or invisible. It values their employees for the strengths they have in their area of expertise. An inclusive workplace values all employees for their strengths. It offers employees with disabilities -- whether visible or invisible -- an equal opportunity to succeed, to learn, to be compensated fairly, and to advance. True inclusion is about embracing difference. This paper focuses on understanding the literature studies at different timeframes. The studies published during 2013- 2023 are reviewed and summarized. The findings are reported in the study.

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Inclusiveness, Disabled Persons, Differently abled

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Women's Education become an Important Consideration for both Government and Civil society in any country's all round Development. Education of women plays a crucial role.

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Education Passion Landmark Empowerment Strength

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The implications of the Government of India's monetary policies on farmers have been a subject of intense scrutiny and debate in the past four years. This research paper focuses on the soft commodity market, specifically targeting agricultural produce. The study aims to evaluate the extent of the benefit of the new Agriculture reforms and Farm Bills and suggest alternative sources of income for the farmers of India. Secondly, this study analyzes the price of commodities (wheat, rice, cotton, mustard, pearl millet, pigeon pea) at which the farmers can sell their produce in APMCs and to what extent MSP is being followed by the traders and buyers of a farmer's produce. By exploring alternative income sources, the research paper proposes strategies to empower farmers and enhance their economic resilience. The research adopts a mixed-method approach to achieve these objectives, combining quantitative analysis of agricultural data and commodity market trends and qualitative insights gathered through questionnaires (from Punjab, Haryana, Rajasthan, Gujarat, MP, Maharashtra, UP, Bihar, Jharkhand, Telangana, Tamil Nadu), and expert perspectives. The results of this study show more exploitation than benefits brought down by the new monetary policies for the farmers and their dissatisfaction with the current MSP. The study analysis shows unfair policies against the farmers and more power to traders and big companies. This research also highlights the awareness level of different government schemes and policies among the farmers surveyed.

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Commodity Market, APMC yard, Farmer Bill, Monetary policy, Minimum Support Price, Farmer Distress, PM KISAN

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This study focuses on Arun Ice Creams' branding strategy and its impact on customer behaviour in Coimbatore city. The study emphasizes the importance of marketing techniques in determining consumer preferences and purchase decisions. The study conducts an in-depth study of several aspects of Arun Ice Creams' marketing strategy, such as product variety, branding, advertising, distribution, and pricing. Furthermore, the study investigates how these techniques influence customer behaviour, such as brand loyalty, purchasing decisions, psychological responses and social influence. By focusing on Coimbatore city, this study gives useful insights into the efficiency of Arun Ice Cream's marketing strategy and the impact on consumer behaviour in the local market.

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Market strategy, Consumer behaviour and satisfaction level.

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This study examines how Mahindra and Mahindra, a major company in India with interests in automotive, farm equipment, aerospace, and finance, is performing financially. We analyse key financial indicators like profitability, liquidity, efficiency, and solvency over a specific period. Using both numbers and explanations, we aim to understand the company's financial health, identifying its strengths, weaknesses, opportunities, and threats in the ever-changing business environment. Additionally, we explore external factors influencing Mahindra and Mahindra's financial performance, such as market trends, competition, economic conditions, and strategic decisions. The study's insights are expected to help stakeholders make informed decisions regarding investment, strategy, and risk management.

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Liquidity ratio, Profitability ratio.

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Forest fires ar? on? of the most common disasters occurring during th? dry season. Fir?s contain a vari?ty of potential hazards for humans and property and th? environment. Smart Forest is a comprehensive solution for forest fire pr?v?ntion and safety. Smart Forest Syst?m designed for early detection of forest fires an effective forest management. Th? system comprises Arduino based slave node ?quipp?d with s?nsors for environmental monitoring and smok? d?t?ction and motion s?nsing and fir? d?t?ction. Utilizing Zigb?? communication technology and th?s? slav? nod? wir?l?ssly transmit data to a mast?r nod? and which consolidates th? information and incorporat?s additional f?atur?s lik? GPS location tracking and motion s?nsing. Int?gration with a GSM modul? ?nabl?s imm?diat? SMS alerts for d?t?ct?d fir?s and nod? fall d?t?ction and facilitating rapid r?spons? from for?st authoriti?s. Cloud int?gration with Thingsp?ak ?nabl?s r?al tim? data visualization and analysis. Sustainability is ?nsur?d through solar pan?l pow?r?d nod?s conn?ct?d to a charger modul? for continuous op?ration and making th? syst?m an ?ffici?nt and ?co fri?ndly solution for for?st surv?illanc?.

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Zigbee Technology, GSM & GPS Module, Cloud Integration, Early Detection, Wireless Communication.

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In today's world of IT innovations, Big Data has and Analytics has revolutionized the Banking and Finance sector by offering valuable insights, streamlining operations, and improved decision-making processes. It involves use of various tools, techniques and methodologies to extract valuable insights from data, allowing organizations to make informed choices and gain a competitive advantage. Despite the promising potential of data analytics, the ethical implication and privacy concern surrounding the use of data analytics has not reduced significantly. Hence this research makes an attempt to gather primary data through interviews with industry experts, while secondary data sourced from scholarly articles, reports, and existing databases and aims to shed light on the following aspects: o Investigate comprehensive study on data analytics in financial sector. o Investigate privacy concerns arising from data analytics implementation. o Factors influencing customer perception and how these concerns can be mitigated to enhance effectiveness of data security

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Data Analytics, Privacy concern, Data security, Fraud detection, Risk mitigation, big data

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Antenna is vital part of wireless communication system. for antenna researchers it is challenging task to design antenna which is compact, cost effective, low profile, multi-band and wide-band. Fractal antenna is one of the best solutions for wireless communication system. Different researchers have designed and developed various fractal antennas in different shapes; each antenna has its own advantages because of its geometrical size and shapes. To get better multi-band behavior original sierpinski fractal structure is modified in different way. Comparative review of modified sierpinski fractal antenna for C band application has been presented and studied in this paper

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Fractal Antenna , modified Sierpinski, C band, compact antenna

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Building and maintaining brand awareness is essential for any business to succeed in a highly competitive market. Zudio, a brand under the Trent Limiter Umbrella, has grown significantly in the affordable fashion sector. This study aims to investigate the strategies used by Zudio to create and maintain brand awareness, as well as their efficacy. This research paper explores the concept of brand awareness with a specific focus on Zudio, a retail clothing brand. A mixed-method approach is used in the research, integrating qualitative case study techniques with quantitative data analysis. Consumer questionnaires and interviews are used to collect data, which is further examined in relation to Zudio's marketing campaigns, social media presence, and customer interaction. The results provide insight into the element that supports Zudio's brand loyalty and recognition. Important findings from this study are anticipated to direct Zudio's and other companies in related market sectors' future brand awareness initiatives.

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Investigate, Efficacy

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The role that the World Wide Web plays in enabling illegal actions including spam, fraud, and the distribution of malware is examined in this study three times.The focus is on malicious URL detection using machine learning, with Random Forest and MLP demonstrating high accuracy on a dataset of 2.4M URLs. The study addresses challenges posed by dynamic HTML development and proposes a resilient method for accurate malicious webpage detection in cybersecurity. Our approach, overcoming the limitations of traditional antivirus methods, analyzes webpage characteristics to identify malicious intent. In response to the escalating cyber threat landscape, we present a robust cybersecurity method that classifies websites based on URL features using supervised machine learning. The models, trained on a dataset of malicious and benign URLs, are evaluated with Random Forests, Gradient Boosted Decision Trees, and Deep Neural Networks. The paper also tackles challenges like the availability of training data to attackers and the dynamic nature of malicious websites, introducing a paradigm for detecting and countering induced concept drifts."

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Malicious URL, detection,machine, learning,random forest,cyber security,detection accuracy,,MLP(multi-layer perceptron),deep neural networks

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Sensory integration therapy plays a crucial role in understanding and addressing the sensory processing challenges faced by children with autism, helping them develop skills for better functioning in daily life.

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OCCUPATIONAL THERAPY, SENSORY INTEGRATION , NEURODEVELOPMENTAL THERAPY

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In the context of steam turbines, creep becomes a critical concern for components operating under high temperatures and stress. The turbine blades operate in challenging conditions, enduring high temperatures, mechanical stresses, and repetitive loads. The main goal is to decrease the static and thermal stresses of reaction turbine blades, achieved by reducing important factors such as total deformation, equivalent stress, and total heat flux. Static and thermal analyses are conducted on three distinct materials: chrome steel, Hastelloy, and Inconel 600. Response surface optimization, combining Kriging as a response surface model and a multi-objective genetic algorithm (MOGA), efficiently explores the design space. Kriging provides a smooth approximation of complex system behavior, while MOGA identifies Pareto-optimal solutions for multiple objectives. The findings reveal significant improvements in optimized parameters, indicating a decrease of 22.15% in the maximum value of total deformation, 16.88% in the maximum value of equivalent stress, and 5.87% in the total heat flux when compared to the original values. Notably, Inconel 600 emerges as the material that has less stress and heat flux compared to chrome steel and Hastelloy.

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Steam turbine blade, Optimization, Response surface, Genetic Algorithm, Chrome steel, Hastelloy, Inconel 600.

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 Abstract

: Safeguarding privacy and maintaining data integrity are paramount necessities for any internet-based platform, particularly those reliant on cloud infrastructure. Blockchain technology has emerged as a pivotal force in fortifying cloud-based platforms. In our proposed endeavour, we harness the power of blockchain to provide encryption for cloud-based IoT outcomes. This technology has rapidly evolved into a promising asset for integrating with cloud clusters, amplifying transaction security, and facilitating seamless access to critical data and application codes. Our paramount goal is to utilise blockchain's capabilities to encrypt vast and diverse datasets, ensuring their protection and integrity across diverse sources. Moreover, advancements in hash functions, exemplified by SHA512, have significantly bolstered data security. The adoption of SHA512, distinguished for its resilience against brute force attacks due to the formidable computational demands it imposes on potential adversaries, reinforces our commitment to robust data protection. Consequently, we have incorporated a modified SHA512 variant into our proposed framework to augment reliability and fortify data defences.

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BLOCK CHAIN , IOT, SHA-512

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Margaret Atwood was a Novelist, Poet, Critic, Cultural Activist, Feminist, and Social Activist. Her literary career is contemporary fiction writer. She Won 9 "Governor General's Awards", 5 "Booker Prizes" and 3 "Orange Prizes for Fiction". Margaret Atwood's Bodily Harm and The Handmaid's Tale examine women's values in a chivalric manner. Rennie, of Bodily Harm, and Offred, of The Handmaid's Tale are both women in their thirties used by the author to explore how they react to 'oppression in all its manifestations, both physical and psychological'. Atwood, in her later novels and poems, seems to focus on the struggle in which she sees men and women. This paper aims to bring out the view of feminism in Atwood's Bodily Harm and The Handmaid's Tale.

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Domination, Patriarchy, Animus Projections, Women's Rights, Excruciating, Dystopian Society.

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