Volume 12 | Issue 6

 Abstract

The ID card generation with QR integration project presents a comprehensive solution designed to streamline the process of ID card generation within organizations and institutions. Featuring an intuitive user interface and seamless maintenance capabilities, this software significantly reduces human effort while ensuring the accuracy and authenticity of generated ID cards. By digitizing the entire process, including generation, distribution, and maintenance, the project minimizes the chances of forgery and simplifies the distribution of ID cards, particularly for large batches. Moreover, the system enables swift detection of fraudulent activities, thereby enhancing security measures. Furthermore, the ID card generator seamlessly integrates with student information databases, ensuring that all pertinent details are accurately reflected on the ID cards. Leveraging QR code technology, each ID card contains a unique code that grants easy access to the respective student's information portal. This innovative feature facilitates swift information retrieval and enhances security measures for both administration and cardholders, making it a valuable asset for institutions seeking to optimize their ID card management processes.

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The ID card generation with QR integration

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Toothpaste is an essential component in keeping teeth healthy and preventing dental disorders. These days, people are becoming more interested in natural and herbal formulations as substitutes for conventional ones. Toothpaste tablets are chewable, tiny, bite-sized tablets that have a comparable effect to regular oral toothpaste when chewed into a paste before brushing. One of the common bacteria present in the human oral cavity is Streptococcus mutans. Bad breath odor and tooth cavities have been caused by these particular bacteria. The purpose of the study was to develop and evaluate the guava extract toothpaste tablets using the direct compression method against S. mutans ATCC 25175. Also we maximized the use of natural excipient like Stevia, Sodium cocoyl isethionate, Xylitol etc decreasing amount of artificial chemicals. The pills were prepared using the direct compression process in a 500 mg dosage form. The powder blend was assessed for a number of pre-formulation properties including porosity percentage, Hausner's ratio, compressibility index, and angle of repose. Evaluations were conducted on the post-compression properties such as weight variation, hardness, friability, pH, wettability, and foamability. Foamability and disintegration time were used to determine which formulas were the best. For better oral hygiene, the developed toothpaste tablets proved to be a superior substitute for toothpaste

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Dental plaque, Toothpaste Tablets, Direct compression, Oral hygiene.

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Personality Rights are intended to protect the person's economic status, personal liberty, and freedom from the unauthorized use of their photos, videos, voice, style, etc., depicting their characteristics and individuality. The individuality is being ruined due to the advent of the social media platforms. Social media has greatly affected the personal rights of celebrities which has become a major issue today. To sell the products/goods, the salesmen use the image or the resemblance of a celebrity without getting consent and gaining out of it as people tend to buy the products by being attracted to the resemblance of the celebrity. This paper looks into the history of personality rights, which allow people to control how their identity, including their name, image, voice, and persona is used commercially. It shows how these rights have developed through common laws and specific legal protections. In India, personality rights are protected by a mix of constitutional rules and particular laws, like the Indian Copyright Act, of 1957 and the Trademarks Act, of 1999. Important cases such as Rajagopal vs State of Tamil Nadu have shaped these protections, highlighting the need for consent and privacy. The paper also explores how personality rights overlap with Intellectual Property Rights (IPR), especially in areas like character, personality, and Image Merchandising. These practices involve using a celebrity's identity or a fictional character's image for commercial purposes, which raises complex legal and ethical questions about consent and payment. Social media has made it harder to protect celebrities' personal rights. Platforms like Facebook, Twitter, and Instagram can help promote celebrities but also often allow the unauthorized use of their personas. This paper looks at key cases like Titan Industries Ltd vs Ramkumar Jewelers, etc., to show the need for strong legal protection against the misuse of celebrity rights.

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Personality Rights, Character Merchandising, Personality Merchandising, Image Merchandising, Article 21 of the Indian Constitution.

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This research involves 200 young individuals aged 18 to 25 and explores the relationship between preoccupied attachment styles and adverse childhood experiences (ACEs). Using the Childhood Adverse Experiences Questionnaire (CAQ) and the Attachment Styles Questionnaire (ASQ), the study delves into how early life challenges impact attachment behaviors. The participants exhibit moderate levels of ACEs and relatively low rates of preoccupied attachment styles based on descriptive data. Correlation study results show a substantial negative relationship between ACEs and preoccupied attachment styles, as well as a relationship between lower levels of attachment preoccupation and larger levels of childhood adversity. These results underscore the importance of prompt intervention and support for individuals who have encountered childhood trauma. It is imperative to take into account the study's shortcomings, though, namely its cross-sectional design and dependence on self-reported metrics. Overall, the study emphasizes the significance of addressing childhood trauma in both research and practical settings to enhance positive outcomes and well-being for individuals and communities.

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Adverse Childhood Experience. Preoccupied Attachment Style, Attachment style, childhood experiences

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Abstract The Government of India is prioritizing the optimal use of advanced technologies to ensure uninterrupted food security and increase the agricultural productivity of farmers. This paper examines the impact of various emerging digital services used by the farming community on agricultural productivity and also studies the impact of digitalization in Indian agriculture. It highlights the applications of various digital technologies for increasing agricultural yield, improving farm level decision making. This is mainly an analytical and exploratory paper based on primary data which has been collected through structured schedules and questionnaires from some districts of eastern Uttar Pradesh. This paper has found that various digital services are being used very little by the farmers in the agricultural fields and there is also little awareness about various information. The paper suggests that policy makers should encourage and focus the use of various digital services in the agricultural sector to increase food productivity so that farming can become digitally oriented.

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agricultural productivity, digitalization, digital information, awareness, farmers

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Sarkari Evam Gair Sarkari Madhyamik Vidyalayo Mein Karyarat Shikshako Ke Vyavasayik Santusti Ka Tulnatmak Adhyayan

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Sarkari Evam Gair Sarkari Madhyamik Vidyalayo Mein Karyarat Shikshako Ke Vyavasayik Santusti Ka Tulnatmak Adhyayan

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Unmanned aerial vehicle (UAV) communication has emerged as a prominent technology for emergency communications (e.g., natural disaster) in the Internet of Things (IoT) networks to enhance the ability of disaster prediction, damage assessment, and rescue operations promptly. A UAV can be deployed as a flying base station (BS) to collect data from time-constrained IoT devices and then transfer it to a ground gateway (GW). In general, the latency constraint at IoT devices and UAV's limited storage capacity highly hinder practical applications of UAV-assisted IoT networks. In this paper, full-duplex (FD) radio is adopted at the UAV to overcome these challenges. In addition, half-duplex (HD) scheme for UAV-based relaying is also considered to provide a comparative study between two modes (viz., FD and HD). Herein, a device is considered to be successfully served if its data is collected by the UAV and conveyed to GW timely during flight time. In this context, we aim to maximize the number of served IoT devices by jointly optimizing bandwidth, power allocation, and the UAV trajectory while satisfying each device's requirement and the UAV's limited storage capacity. The formulated optimization problem is troublesome to solve due to its non-convexity and combinatorial nature. Towards appealing applications, we first relax binary variables into continuous ones and transform the original problem into a more computationally tractable form. By leveraging inner approximation framework, we derive newly approximated functions for non-convex parts and then develop a simple yet efficient iterative algorithm for its solutions. Next, we attempt to maximize the total throughput subject to the number of served IoT devices. Finally, numerical results show that the proposed algorithms significantly outperform benchmark approaches in terms of the number of served IoT devices and system throughput.

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Emergency communications, full-duplex, information freshness, Internet-of-Things, timely data collection, unmanned aerial vehicle (UAV).

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The birth of a daughter in an Indian household triggers a complex interplay of emotions and cultural norms. This paper explores the nuanced dynamics of the mother-daughter relationship in Indian literature, focusing on Manju Kapur's Difficult Daughters and Arundhati Roy's The God of Small Things. Through an analysis of the protagonists Virmati and Ammu's experiences, it aims to address a research gap concerning personal development, identity formation, and familial dynamics. Utilizing Showalter's feminist theory and contemporary research on mother-daughter bonds, the paper investigates how maternal influence shapes protagonists' choices and self-perception. It scrutinizes the impact of societal expectations and patriarchal norms on familial dynamics, particularly in romantic decisions. Moreover, it examines instances of rebellion against traditional gender roles and their repercussions within the family. By delving into familial interactions and external relationships, the study unveils the broader societal implications of protagonists' experiences. It enriches the discourse on familial influence, romantic decisions, and gender dynamics in Indian society, offering a nuanced understanding of the intricate relationships shaping individual identity and societal norms.

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mothers, daughters, feminism, gender dynamics

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Sarso Fasal Ki Lagat v Aay Ka Anya Nakdi Faslo Ki Lagat Aay Ke Sath Tulnatmak Adhyan

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Sarso Fasal Ki Lagat v Aay Ka Anya Nakdi Faslo Ki Lagat Aay Ke Sath Tulnatmak Adhyan

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Children's safety and well-being are vital considerations in any society, and law enforcement organisations play a critical role in protecting children from crime on a nationwide scale. This paper provides an overview of a comprehensive study that investigates the diverse function of police in numerous elements of child protection. The study investigates the many functions of the police force in dealing with crimes against children, such as prevention, intervention, and response. It dives into the legislative and policy frameworks that regulate police child protection actions, emphasising the need of coordination with other stakeholders such as social agencies, schools etc. Furthermore, the study examines the problems that law enforcement organisations confront in their efforts to safeguard children from crime, such as resource constraints, training requirements, and the developing nature of threats in the digital era. The paper also emphasises effective tactics and best practises by police for increasing child protection efforts and improving outcomes.

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Child Crime, Police, Role of Law Enforcement, Best Strategies.

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Chest X-ray (CXR) pictures are essential for the diagnosing various respiratory diseases, but accurate and efficient disease classification remains challenging. This project proposes a novel approach for disease classification from CXR pictures by employing CNN's or Convolutional Neural Networks with sophisticated algorithms including Efficient Net, Resent, Dense Net, CNN, and VGG. By utilizing these algorithms, our system seeks to enhance the efficiency and accuracy of disease classification, enabling timely diagnosis and treatment planning. Through comprehensive testing and evaluation, we prove that our method is efficient in accurately classifying chest diseases, paving the way for enhanced healthcare diagnostics and patient care.

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Efficient Disease Classification from Chest X-Rays Using CNN with DenseNet-201

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The contributions of control systems and information technology are important in the functioning of today's world. Further, these systems have brought changes in communication modalities that have been no less profound. Combining industrial safety concepts with the powerful communication features of Internet, feasible network solutions can be designed using either wired or wireless networks. In these networks, Web based remote Safety is classified into different categories based on the research directions such as major research, Safety the process/ operations with the web enabled platform, process Safety with control features over the web platform and Safety, control as well as reporting and fault diagnosis features. The web enabled Safety and control platform have many advantages for the engineering community as well for the business community such as Safety the process and operational performance of the entire system from a remote location, providing expert support for performance optimization and minimizing the downtime between failures on the system control level or plant level. Recent research attempts that have been made in the web-based platforms for applications at different levels are in the areas of educational laboratory experimental studies, industrial applications etc., where the operations are required to be continuously monitored, controlled and fault diagnosis to be done away from plant locations. However, detailed analysis of various web-based remote Safety and control systems shows that most of the difficulties exist in architecture, data transfer, web-based graphical user interface, multiple user access, security and safety.

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Safety, World Wide Web, Supervisory Control and Data Acquisition.

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 Abstract

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The employment nature in the insurance sector is extremely challenging due to acute flexibility through resource management. Since, mostly for all employees, the sources of job reward remain limited to the salary only expectation to gain incentives and create a threatening atmosphere of competition and loss of job security. This situation creates job stress and brings decline in performance and lack of commitment towards job. As the insurance sector is dynamic in nature, economic fluctuations can create uncertainty. The main object of this study is to investigate the relationship between job stress and organizational commitment among insurance sector employees in palakkad district. The study aims to provide insights into the challenges faced by insurance sector employees. A sample of 93 employees was selected by stratified sampling method. The findings of the study reveal that there is significant negative relationship between job stress and organizational commitment among insurance sector employees.

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resource management, insurance sector, customer expectation, job stress, organisational commitment

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

???? ?????? ???? ?? ??? ??? ?????? ?? ?????? ???? ?? ??????? ?? ????? ?? ????? ??? ??????? ??????? ??? ??????? ???? ??, ???? ????? ?? ????? ??? ?????? ?? ?????? ??? ???? ?????? ?? ?? ???????? ?? ?? ???? ???? ??, ???? ?? ???? ?????????? ? ??????? ??? ?? ??????? ?????? ???????? ???????? ?? ???? ??? ??? ????? ????? ???? ?? ????? ??? ??? ???? ?????????? ??? ???? ????? ?? ? (???????? ????? ?????? ????? 2022), ?? ??? ???? ???? ??????? ?????????? ?? ??????? ?? ?????? ???? ??, ?? ?????? ??? ????? ??? ?? ???? ?????????? ?? ???????-????? ???????? (2018-2022) ???? ??? ??? ??? ??? ???????? ???? ?????????? ??? ?? ??? ???? 10 ??? ?? ??? 6 ??? ?? ???? ???? ???? ?? ??? ?????????? ?? ????? ??? ??? ?? ?????????? ??? ???? ??????? ??? ???????? ???? ?????????? ???? ???? ??, ????? ???????? ??? ???? ????? ?? ???????? ?????? ????? ??? ???? ??????? ??? ???

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Cardiovascular diseases (CVDs) remain a leading cause of mortality globally, necessitating effective risk prediction models for early identification and intervention. In recent years, artificial intelligence (AI) has emerged as a promising tool for predicting cardiovascular events, offering the potential to enhance risk stratification and clinical decision-making. This review provides a comprehensive analysis of current trends and future directions in AI-based models for predicting cardiovascular events. We survey the literature to examine the various AI techniques, including machine learning (ML) algorithms, deep learning models, and ensemble methods, employed for cardiovascular risk prediction. Additionally, we discuss the key features, strengths, and limitations of these models, highlighting their potential clinical applications and challenges. Furthermore, we explore emerging trends such as multimodal data fusion, interpretability, and personalized medicine, and their implications for advancing cardiovascular risk prediction. By synthesizing existing research findings and identifying areas for future exploration, this review aims to provide insights for researchers, clinicians, and policymakers involved in cardiovascular disease management and prevention.

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Cardiovascular diseases, artificial intelligence (AI), machine learning (ML), risk prediction

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The rapid advancements in medical imaging and computational techniques have significantly improved brain tumor diagnosis and treatment. OpenCV, an open-source computer vision library, has emerged as a pivotal tool in enhancing brain tumor image segmentation. This review explores the recent developments in utilizing OpenCV for brain tumor segmentation, highlighting the integration of traditional image processing methods and modern machine learning algorithms. Key techniques such as thresholding, edge detection, and morphological operations are discussed in the context of their implementation via OpenCV. Additionally, the paper addresses the challenges encountered, including the variability in tumor appearance, the need for high computational resources, and the necessity for large annotated datasets. The review concludes by identifying future directions, emphasizing the potential of OpenCV in combination with deep learning frameworks to achieve more accurate and efficient brain tumor segmentation.

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medical imaging, brain tumor, OpenCV, image segmentation, deep learning.

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The proliferation of fake news on digital platforms poses a significant threat to the integrity of information and public discourse. This study explores the application of machine learning techniques to identify and analyze fake news. By leveraging natural language processing (NLP) and various classification algorithms, we aim to develop a robust framework for distinguishing between genuine and fake news articles. Our methodology involves data collection from diverse sources, feature extraction, and model training using algorithms such as Logistic Regression, Support Vector Machines (SVM), and Neural Networks. We evaluate the performance of these models based on accuracy, precision, recall, and F1-score. Our findings indicate that combining NLP techniques with machine learning classifiers can significantly enhance the detection of fake news, offering a viable solution for mitigating the spread of misinformation. This research underscores the importance of advanced computational approaches in preserving the authenticity of information in the digital age.

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Logistic Regression, Support Vector Machines (SVM), Fake News, natural language processing (NLP).

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The Hungry Tide calls for an inclusive approach to equality and conservation by exposing the vulnerability of underprivileged women and the ecology through the interweaving of ecofeminism and environmental justice. Gender and diversity are connected through a number of intersections. The idea that women are the "second sex" is akin to the incapacity to accept diversity, which is mirrored in development ideologies that cause biological diversity to be replaced and eventually exterminated. A patriarchal worldview marginalizes variety and promotes hierarchy by placing man as the primary measure of value. Women are therefore seen as inferior and unequal because they are different. This viewpoint also applies to nature, when variety is commercialized for profit rather than appreciated for its inherent value. Therefore, diversity is troublesome due to commercial criteria, which see it as a deficiency. According to Environmentalists Vandhana Shiva, this ideology fosters the development of monocultures and encourages the erasure of diversity in order to uphold the demands of capitalist patriarchy.

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Ecofeminism, Environmental Justice,Vulnerabilities, Ecosystem, Marginalized Women, and Gender and Diversity.

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Maintaining the beauty and youthfulness of our face and other body part tend to be a daily preoccupation for many women and men. Skin, particularly the face is in constant contact with the external environment and is also significantly affected by internal factors like our health and lifestyle. Age perception is based on the facial attributes such as- wrinkles, skin gravity, lustre etc. The beauty of the skin depends on the proper sleep, moisture, exercise, age, pollution, smoke, alcohol, etc. Aging of the skin is due to the deposition of free radicals. Cosmeceutical can be defined as a cosmetic product that is purported to have therapeutic action capable of affecting the skin positively beyond the time of its application. Derma-cosmeceuticals are medical-dermatological skin care products that are claimed to maintain and even improve the skin's function. Ayurveda cosmeceutical products already play an important role in the global industry of cosmetics and the use of Panchakarma in cosmeceutics made a strong stand in the cosmetic industry as well. Panchakarma is the complete purification of body and it is popular for cellular detoxification. It also acts like antioxidant and it reduce the inflammation by inhibiting the T cell activation. Through this literary review it has been attempted to outline the Panchakarma as an effective therapy in the world of cosmeceutics.

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Derma-Cosmeceuticals , Ayurveda, Panchakarma

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