Volume 12 | Issue 3

 Abstract

Iron oxide Nanoparticles (IONPs) have garnered significant attention due to their diverse application in biomedicine, environmental remediation, and catalysis. In this study, we report the synthesis of IONPs using Catharanthus roseus leaf extract as a green reducing and stabilizing agent. The nanoparticles were characterized using Fourier-transform infrared spectroscopy (FTIR), and UV-Vis spectroscopy. FTIR spectra indicate the presence of biomolecules from the leaf extract adsorbed onto the nanoparticle surface, contributing to their stability and biocompatibility. UV-Vis spectroscopy results showed characteristic absorption peaks in the UV region, indicative of the electronic transitions within the nanoparticles. The green synthesis approach offers several advantages such as cost-effectiveness, eco-friendliness, and scalability. The unique properties of Catharanthus roseus leaf extract facilitate the synthesis of well-defined IONPs suitable for various biomedical and environmental applications. This study underscores the potential of plant-mediated synthesis as a sustainable route for nanoparticle production and encourages further exploration in this emerging field.

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Fe3O4 -NPs, Green synthesis, Catharanthus roseus

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The squarer architecture is designed to provide low power, speed, and area for all the fields of image processing, animation and signal processing. This paper explains a squarer architecture using a Vedic multiplier and adders. The proposed architecture uses a different adders(CSA, KSA) to increasing the speed and to reduce the power and delay of squarer architecture.The main advantage of this proposed technique is that it focuses on reduced circuit complexity. The proposed method is coded in Verilog language. The square architecture will be performed in Xilinx Vivado 2016.4 version software by selecting the ZED board.

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Vedic multiplier, square architecture, Carry save adder(CSA), Kogge stone adder(KSA)

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This article delves into the multifaceted aspects of Belladonna, a prominent homeopathic remedy derived from the Solanaceae family. Exploring its botanical roots, alkaloid composition, and toxic effects, the study highlights Belladonna's significance in addressing both acute and chronic health issues. The article elucidates its diverse clinical applications, emphasizing its efficacy in treating conditions ranging from headaches to gastrointestinal problems. By providing insights into Belladonna's drug picture and therapeutic scope, this work aims to enhance the understanding of its potential in homeopathic practice.

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 Keywords

Belladonna, Solanaceae family, alkaloids, homeopathic remedies, atropine, clinical applications, drug picture, inflammation, acute and chronic conditions, therapeutic scope.

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 Abstract

Internships are an essential part of a student's educational journey, providing practical exposure to real-world scenarios and allowing them to apply theoretical knowledge to practical situations. My internship with the Deepak Foundation for Patient-Provider Support Agency (PPSA) under the National Tuberculosis Elimination Program (NTEP) was a transformative experience that empowered me with a deeper understanding of public health initiatives and the challenges faced in eradicating tuberculosis. The framework of the National Tuberculosis Elimination Program (NTEP), specifically working with the Patient-Provider Support Agency (PPSA). This narrative encapsulates my journey as I engaged with a multidisciplinary team dedicated to fostering change at the grassroots level. Through collaborative efforts, the PPSA seeks to bridge gaps between patients and healthcare providers, thereby enhancing the effectiveness of tuberculosis (TB) treatment and care. Over the internship duration, I observed and contributed to innovative strategies aimed at improving patient education, provider training, and systemic communication. This abstract offers insight into the challenges, successes, and lessons learned during my association with the PPSA. By delving into the intricacies of this internship, it underscores the significance of comprehensive support frameworks in realizing national public health objectives, ultimately contributing to the larger goal of tuberculosis elimination.

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 Keywords

NTEP, PPSA, Public Health, Tuberculosis.

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 Abstract

to determine the sex the skull and skeletal plays an important role for the archeologists, physical anthropologist, and forensic anthropologist. To gain by using the knowledge of osteology of human anatomy. Due to its anatomical position of mastoid process at basolateral region of skull so it is the most dimorphic bone which it is least damaged. The parameters of mastoid process are larger in males than in females. In present study to determine the sex in unidentified skulls an attempt has been made to evaluate the use of mastoid process measurements. For that to test the accuracy of sex determination using discriminant function analysis.

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Discriminant Function analysis; Mastoid process; Sex determination.

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Rasa is an essence of every work of art like dance, music and Literature that can only be suggested and not articulated. It is a type of thoughtful abstraction in which the world of physical forms is permeated by the interiority of the human feelings. However, the word may seem magical at first but it is not so in actual because to experience rasa one does not need any magical spell but has to be sensitive enough to connect with the emotions of the work. It is the concept of emotions, connections and feelings. This research paper aims to explore the meaning, history and scope of rasa theory in present scenario.

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Aesthetic, Emotion, Feeling, Indian, Literature, Rasa

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E-commerce has rapidly transformed the retail and commerce landscape in India. While e-commerce has made shopping more convenient for consumers, providing wider selections and competitive pricing, its growth has also been accompanied by increased cybercrime. This paper investigates the relationship between the rise of e-commerce and cybercrime rates in more comprehensive selections in India by examining existing literature and statistical analysis of government and industry data. The anonymity afforded by the Internet, coupled with jurisdictional ambiguities across international boundaries, constrain efforts to identify these fraudsters and investigate cross-border cybercrimes. Demands for reform include expanding definitions of cybercrimes, increasing penalties, enabling faster trials and granting law enforcement access to digital forensics and surveillance tools while protecting citizen privacy. Acute jurisdictional complexities arise in investigating cross-border e-commerce cybercrimes spanning multiple nations with divergent legal protocols. Despite the benefits of online financial transactions, people started highlighting the fear of financial cybercrimes among the top concerns that impact their daily lives. It concludes that optimised regulation is imperative to enhance India's cyber readiness, leveraging the digital public goods generated by e-commerce innovations while safeguarding citizen rights and cyber-physical security. Recommendations encompass reforming legal frameworks, strengthening law enforcement capabilities, augmenting cybersecurity protocols, enhancing public awareness, and fostering greater public-private collaboration focused on the prevention, detection and deterrence of emerging e-commerce-related cyber threats.

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E-commerce, Cybercrimes, Financial fraud, Identity theft, IT Act 2000, Cybersecurity

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This study aims to identify how investors view mutual funds considering different aspects of investment decisions. For this descriptive research, the primary data was collected through a structured questionnaire and tested with the hypothesis. The variables like Risk Tolerance, Return Expectation, Financial Knowledge, Investment experience, Information source, Fee and Expenses, Market Conditions, Investment Goals, and Reputation of Fund Manager are used to identify the factors influencing the perception of investors toward mutual fund investments. The collected data is analyzed through Correlation analysis and the Chi-square analysis. The study concludes that risk, return, market condition, investment goals, investment experience, and reputation of fund managers have a positive outlook on mutual funds.

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Mutual funds, Perception, Correlation, Chi-Square.

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The increasing demand for efficient management of underground pipelines has led to the development of a Real-Time Remote Monitoring and Control System (RRMC) based on the Internet of Things (IoT). This system utilizes a diverse array of sensors, including pH, temperature, and soil moisture sensors, alongside cathodic protection technology to continuously monitor the condition of underground pipelines. The data collected from these sensors is processed and transmitted to a central hub via a Microcontroller PIC 16F877, which is equipped with IoT capabilities. The RRMC system not only enables real-time monitoring of pipeline parameters but also facilitates proactive decision-making by providing early detection of potential issues such as corrosion or leaks. Additionally, an LCD display offers on-site visualization of critical information. This innovative IoT-based solution enhances pipeline safety, reduces maintenance costs, and ensures the uninterrupted flow of essential resources, ultimately contributing to the sustainability and reliability of underground pipeline networks. Real-time remote monitoring and control systems for underground pipelines, powered by the PIC 16F877 microcontroller and integrated with IoT, are engineered for efficient pipeline management. These systems utilize the 16F877 capabilities to collect and process data from sensors, including pressure, temperature, and leak detectors, ensuring real-time awareness. IoT connectivity enables remote control and monitoring. This amalgamation offers enhanced safety, reduced downtime and cost-efficient maintenance.

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Pipe Inspection, Soil Moisture, Pipeline and Remote Control Center.

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Systems for recommending healthcare have drawn a lot of interest recently due to their potential to enhance patient outcomes and treatment. By analyzing pertinent studies, approaches, and findings, this review of the literature aims to analyze the current condition of patient health care referral systems. In the area of patient-based health recommendation systems, the study emphasizes major research areas, obstacles, and potential approaches for the future. These days, healthcare administration is highly sought after because it is so beneficial to running a hospital or a doctor's office. The globe is being impacted by the expansion of health management systems on a daily basis. The increasing demand for healthcare is caused by a number of factors, including healthcare solutions. The health prediction system is a project for online user assistance and consulting. In this study, we suggest a solution that enables users to get prompt online health advice from a smart health system. The system contains numerous ailments and symptoms linked to various systems. Using data mining tools, the most likely disease linked to a patient's symptoms can be identified. A doctor can access his patient's information and report in the doctor's module by logging into the system. Doctors can examine the patient's search history and the information the patient is seeking for based on their prognosis. His data is available to the doctor. The database's administrator can add new disease details, including the disease's kind and symptoms. Based on the name and symptoms of the condition, the data mining system operates. The database of ailments and symptoms is accessible to the administrator. In a variety of fields of application, such as the healthcare recommendation system (HRS), recommender systems use various machine learning (ML) approaches to user suggestion and recommend services or entities. The HRS and many application areas are now using ML techniques from the field of artificial intelligence because to the enormous number of algorithms shown in the literature. However, it appears to take a lot of time to choose a suitable ML algorithm for a health recommender system.

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 Keywords

Artificial Intelligence, Machine Learning, Recommendation System, Algorithm, Data Mining

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The traditional Min-Min algorithm is a simple, efficient algorithm that produces a better schedule that minimizes the total completion time of tasks than other algorithms in the literature [7]. However the biggest drawback of it is load imbalanced, which is one of the central issues for cloud providers. In this paper, an improved load balanced algorithm is introduced on the ground of Min-Min algorithm in order to reduce the makespan and increase the resource utilization (LBIMM). At the same time, Cloud providers offer computer resources to users on a pay-per-use base. In order to accommodate the demands of different users, they may offer different levels of quality for services. Then the cost per resource unit depends on the services selected by the user. In return, the user receives guarantees regarding the provided resources. To observe the promised guarantees, user-priority was considered in our proposed PA-LBIMM so that user's demand could be satisfied more completely. At last, the introduced algorithm is simulated using Matlab toolbox. The simulation results show that the improved algorithm can lead to significant performance gain and achieve over 20% improvement on both VIP user satisfaction and resource utilization ratio.

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Cloud Computing; User-priority Aware; Load Balance; Makespan; Min-Min Algorithm; Cloud Task Scheduling

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Abstract: Topical drug delivery system is a painless route of drug administration. There are different skin diseases and infections caused by fungus and microorganisms. which are treated with the probiotics or living microorganism which are used as active pharmaceutical agent. The purpose of writing this review article was to compile the recent literature with a special focus on a rational approaches of topical probiotic gel formulation and basic components of topical drug delivery systems. Topical applications of drugs have advantages of delivering the drug directly at the site of action and acting for a prolong period of time. Skin is one of the most widespread and important accessible organs on the human body for topical incorporation. it is the main route of topical drug delivery system. Many widely used topical probiotic products like ointments, creams and lotions have number of disadvantages as they are usually very sticky causing un-comfort to the patient after application. Moreover, they also have less spreading coefficient and need to apply with rubbing and also have the problem of stability , due to all these factors, within the major group of semisolid preparations; the use of gels has increased both in cosmetics and in pharmaceutical preparations because, A probiotic gel is colloid and it is typically 99% by weight formed by liquid material, which is immobilized by surface tension between it and a macromolecular network of fibers built from a small amount of a gelatinous ingredient present in the formation. In this revive we discus about the general Prepration and evaluation of probiotic gel

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Index Terms - Skin, Probiotic, gel, Topical, Novel,

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Earthquakes are a type of disaster that we often have to face posing risks to both people and buildings. The design of hospitals plays a significant role in ensuring the safety of patients and the smooth functioning of healthcare facilities during disasters. To address this challenge effectively a comprehensive design approach is required, incorporating architectural, structural resilience, functional continuity and operational responsiveness. This article explores strategies and principles that can enhance the earthquake resilience of hospital buildings. It involves using construction materials and techniques of withstanding seismic movements within the structure during an earthquake. Techniques like reinforced frames, damping systems, base isolators and other mechanisms help the building absorb kinetic energy during seismic events. Adaptable space layout and modular design allow adjustments to meet requirements while maintaining critical services like emergency care and surgery accessibility for patients. Incorporating redundancy in utility systems such as power supply, water sources and communication networks reduces the likelihood of system failures in case of disruptions to power supply or communication services. This analysis offers an approach, to designing earthquake hospital structures. This research emphasizes the significance of assessing risks developing building regulations constructing structures and utilizing advanced technology to reduce the impact of earthquake dangers.

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disaster preparedness, earthquake resilience, hospital architecture, seismic-resistant materials

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In this paper, we present a multidimensional, highly effective method for aggregating data for wireless sensor networks while maintaining privacy. The suggested system is resistant to data loss and secure against both active and passive privacy compromising attacks, such as the coalition attack from a rogue base station and kidnapped sensor nodes. With regard to cluster size, it achieves consistent communication overhead, which is helpful in large-scale WSNs. Due to its constant size communication overhead, the suggested strategy outperforms the previous privacy-preserving data aggregation scheme not only in terms of privacy preservation but also in terms of communication complexity and energy costs.

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Wireless Sensor Networks, Data Aggregation

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This paper explores the integration of federated learning with smart city frameworks with the goal of developing and deploying privacy-aware systems. The goal is to protect user privacy while utilizing decentralized data for smart city operations including environmental monitoring, public safety, and traffic control. Federated learning is a key technological advancement that allows smart cities to process and analyze data locally, improving service quality and protecting privacy at the same time. In the field of smart city data analytics, this paper demonstrates the revolutionary potential of federated learning, addresses related issues, and provides insight into real-world applications and the technology's future direction.

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Privacy-preserving, Federated Learning, Smart Cities

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Scholarships play a pivoting role in shaping the educational landscape of any country, especially in India where people are different in their financial and economic status. The scholarship among students results in facilitating educational opportunities for the economically disadvantage people from different regions in the country. The students having a reliable financial status are getting educational opportunities for their higher studies while the students who are not, are struggling to strive in their academic performance. This research article delves into the financial aid provided by the scholarships and how it impacts the students and understanding their financial attitudes and financial challenges. The data collection method used a survey distributed to 101 respondents in Mizoram region and using the tools SPSS for analysing the required findings.

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students, scholarship, financial attitude, academic challenges.

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This literature review examines the multifaceted applications of ChatGPT in various domains, emphasizing its role in healthcare, education, programming, and business operations. ChatGPT, a groundbreaking artificial intelligence developed by OpenAI, demonstrates significant potential in generating content, improving efficiency, and enhancing user experience. In healthcare, it aids in medical education, research, and diagnostic decision-making, although concerns about accuracy, bias, and ethical implications persist. In education and programming, ChatGPT excels in personalized learning, instructional assistance, and bug fixing, while also presenting challenges related to ethical use and integration with existing systems. Moreover, ChatGPT has shown promising results in cybersecurity research, albeit with risks such as phishing and privacy breaches. Across various industries, including medical, educational, and sales sectors, ChatGPT's versatility and adaptability highlight its transformative impact on modern industries. Despite its strengths, the review underscores the necessity for human oversight, ethical considerations, and continuous research to optimize its capabilities and address existing limitations. Thus, while ChatGPT offers transformative opportunities, its responsible integration and use remain imperative for maximizing benefits and mitigating risks.

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Review on ChatGPT

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Microspheres are characterized by their free-flowing protein or synthetic polymer powders, with particles ranging in size from one to a thousandth of an inch. The array of methods available for creating microspheres presents a multitude of chances to manage drug delivery and improve a medication's therapeutic performance. A medicinal ingredient can be delivered to the target place in several ways using prolonged controlled release techniques. Using microspheres, sometimes referred to as microparticles, as drug carriers is one such strategy. If changed, it is a dependable way to transport the medication to the intended location with specificity and to keep the concentration at the site of interest where it is wanted. Microspheres have drawn a lot of interest for their ability to target anticancer medications in addition to their sustained release. Microspheres will play a key role in innovative drug delivery in the future by combining several different techniques, specifically in diseased cell sorting, diagnostics, gene & genetic materials, safe, targeted, and efficient in vivo delivery, and supplements as tiny replicas of diseased organs and tissues in the body.

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Microspheres, Types of microspheres, Method of preparation

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Programmers face situations where they have to rely on messy documentation, other developers and online search for basic programming commands and queries when they encounter any new programming environment. This leads to the waste of time of developers and decreases productivity. Code Sensei is a revolutionary tool aimed at streamlining the coding process for developers of all levels. By leveraging advanced machine learning algorithms, it offers real-time code suggestions, analysis, and generation. This enhances productivity, reduces coding errors, and ultimately saves valuable development time & which assists the programmers with basic programming queries that they face when they are new to a programming environment. It allows students to undertake programming exercises and receive interactive guidance in getting their programs to compile and run. This is the tool developed to assist students and instructors in solving their practical lab session problems, which comes with features such as error handling and solve common problems related to coding.

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: "Artificial Intelligence", "Assistant", "Online learning", "Generative model", "Encoder-Decoder".

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This study targets to explore the potential of health drinks in promoting the physical growth of adolescent students aged 18-25 in the remote areas of Odisha. In these marginalized regions, access to proper nutrition is limited, which can adversely affect the overall well-being of the youth during this critical stage of life. The research investigates the effectiveness of health drinks as a supplement to their regular diets, examining the impact on factors such as stamina, energy levels, muscle development, bone health, and cognitive function. By introducing these specially formulated health drinks, the study aim to bridge nutritional gaps and encourage healthier dietary habits among the target population. The study also highlights the importance of using natural ingredients and adhering to stringent quality standards in the production of these beverages. Educational initiatives on nutrition accompany the introduction of health drinks, empowering the students and their communities with knowledge about maintaining a balanced and healthy lifestyle. The findings from this research can provide valuable insights for policymakers, healthcare professionals, and educators, to develop sustainable strategies for improving the physical growth and overall health of adolescent students in remote areas of Odisha.

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 Keywords

Education, Growth, Healthcare, Adolescent, Odisha

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