Volume 12 | Issue 4

 Abstract

Insulin is a small globular protein hormone that consists of two polypeptide chains, A and B, that are connected by two disulfide bonds. The A chain is composed of 21 amino acids, while the B chain is composed of 30 amino acids. The two chains are held together by a third disulfide bond between the A7 cysteine residue and the B7 cysteine residue. The tertiary structure of insulin is stabilized by a network of hydrogen bonds, salt bridges, and hydrophobic interactions between the amino acid residues. The hormone also contains a hydrophobic core that is responsible for its stability and solubility. The insulin molecule adopts a compact conformation that allows it to fit into its receptor on the cell surface. Alterations in the structure of insulin, such as mutations or chemical modifications, can affect its biological activity and lead to insulin resistance or other metabolic disorders.

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Protein, Insulin, BLAST, FASTA.

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The purpose of this study investigates the profound influence of advertising on consumer purchasing decisions in contemporary markets. Through an extensive review of existing literature, the research examines the multifaceted relationship between advertising strategies and consumer behaviour across various industries and demographic segments. By analysing the psychological, sociocultural, and economic dimensions, this study aims to uncover the mechanisms through which advertisements shape consumers' perceptions, attitudes, and ultimately, their purchasing actions. Furthermore, the research explores the role of different advertising platforms, such as traditional media, digital channels, and social media, in modulating consumer responses. The findings of this study contribute to a deeper understanding of the complex interplay between advertising and consumer behaviour, offering valuable insights for marketers, advertisers, and policymakers in crafting effective advertising strategies to engage and influence modern consumers. Keywords: Consumer behaviour, advertisement, pricing strategies etc.

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Consumer behaviour, advertisement, pricing strategies

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This paper presents a remote blame discovery framework for mechanical voltage and current issues for over voltage and current investigation, in this way progressing the discovery of mechanical flaws. Dure to the over voltage and current in businesses there may chance to harm the equipment's and too may leads to may caught fire to the industry. The plan moreover considers the time of discovery and advance conceivable activities, which are too critical for the early location of conceivable breakdowns, and in this way for dodging irreversible harm to the engine. To dodge such circumstance, this work is actualized.

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Please check the document in clearly

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The project is titled as "A study and analysis of employee training needs at HEPTO technology " in Chennai. The main purpose of the research is to examine the factors contributing to development of employee skills by providing required training methods This research will be able to give a glimpse of the various training programs and employee opinion about training methods. The main objective of this research is to identify the view about training methods. The research design adopted for this study is descriptive. A descriptive study is undertaken in order to ascertain and be able to describe the characteristics of the variable. Sampling techniques involved in this research is simple random sampling and questionnaires are distributed to the respondents. The primary data are collected from the respondents, through survey method. The questionnaire consists of close ended questions and rating scales. The collected data are analyzed by using very appropriate statistical tools like percentage analysis, chi-square and correlation test. The research contributed few recommend which will fill the gap between what training required and what the training is given to employee.

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 Keywords

Employee training needs, Work life balance, Leadership development program, Skill training, Job performance, Employee satisfaction, Employee engagement, Job retention, Training methods

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The Tourism Management System reverberates as a comprehensive software solution meticulously crafted to streamline and elevate the efficiency of tourism-related operations. This system seamlessly integrates pivotal functionalities, facilitating the adept management of myriad tasks inherent to the tourism industry. From orchestrating booking accommodations and managing itineraries to meticulously tracking customer preferences and meticulously analyzing business performance, the Tourism Management System furnishes a centralized platform fostering seamless coordination and meticulous organization. Sporting user-friendly interfaces tailored for both administrators and tourists alike, the Tourism Management System sets its sights on enhancing the overall user experience, amplifying operational efficiency, and fostering the sustainable growth of the tourism sector. This system is steadfast in its endeavor to offer a user-friendly platform meticulously engineered to facilitate the seamless management of various facets of the tourism industry, spanning booking, reservation, customer information, and resource allocation. Boasting key features such as an intuitive user interface catering to both administrators and customers, real-time availability updates, and intricate reporting functionalities, this system endeavors to harness modern technology to optimize the overarching tourism experience, thereby contributing to heightened customer satisfaction and bolstered operational effectiveness for tourism service providers. The Tourism Management System stands as a pioneering solution poised to tackle the contemporary challenges besieging the global tourism industry. In acknowledgment of the escalating complexity characterizing tourism-related operations, this comprehensive software platform is meticulously designed to streamline and optimize pivotal facets of the tourism ecosystem. The primary objectives of the Tourism Management System encompass proficient reservation and booking management, robust customer relationship management, resource optimization, and meticulous reporting and analytics.

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Tourism Management System, Centralized platform, Efficiency, Pioneering solution, Operational effectiveness, Integration, Modern technology.

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The project titled "Feminist Perspectives in Manipuri Movements: Women's Agency and Collective Action" aims to comprehensively explore and analyze the role of women within social, political, and cultural movements in Manipur, as depicted in Teresa Rehman's "The Mothers of Manipur" and Thokchom Binarani Devi's "Women's Movement in Manipur."

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manipur, collective action, agency, women, Manipuri, politics, culture

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Video conferencing applications facilitate real-time audio and video communication between multiple users located in different geographical locations. These applications have become increasingly popular for various purposes, including remote work, online education, virtual events, and social interactions. The web-based meeting scheduler project aims to streamline the process of scheduling meetings and appointments for individuals and organizations. With the increasing reliance on virtual meetings and remote collaboration, an efficient and user-friendly scheduling tool is essential to optimize time management and enhance productivity. To ensure the privacy of meetings, we have included advanced cryptography technique in sharing, i.e., visual cryptography. The application prompts for a secret image or text to be given by the meeting scheduler, then it divides the secret key into various partitions, encrypts them, and then, shares them to the participants. Every time, the application gets keys from each participant, upon combining those keys, the application will check for authenticity of participants. Upon verification, the application will allow the participants to join the meeting. In this way, the application ensures the privacy and integrity of users, information, and platform.

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Online meeting Scheduler , Visual Cryptography , Zoom Cloning , Security Enhancement , Privacy Protection , Authentication , Confidentiality , Meeting Credentials , Cryptographic Techniques , Multi-layered Security , Access Control , Virtual Meeting Environment , Secure Communication , Digital Authentication , Meeting Authorization , Secure Scheduling , Secure Collaboration , Cybersecurity , Encryption , Access Management

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Berberine HCl, Beer's law, phosphate buffer pH 6.8 ,Water, Validation,

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Online education has seen the rise of EdTech freelancing platforms, which have become essential tools for learners, educators, and freelancers. These platforms function as dynamic marketplaces, providing a wide range of educational material and services to a worldwide audience. A key factor in their success is their ability to provide effortless content discovery and interaction through advanced search algorithms and optimization of user experience. This study explores the utilization of Term Frequency-Inverse Document Frequency (TF-IDF) algorithms to improve content discovery in EdTech freelance platforms. TF-IDF is a fundamental approach in information retrieval that offers a strong foundation for evaluating textual input and generating customized search results. TF-IDF allows platforms to prioritize material that fits with user preferences and search intent by giving weights to phrases based on their value within each learning resource compared to the total corpus. This study examines the installation, difficulties, and benefits of TF-IDF algorithms in enhancing search accuracy, user satisfaction, and overall platform efficiency. This paper explores the important role of semantic analysis in defining the future of online education by thoroughly examining TF-IDF-based search engines. TF-IDF plays a crucial role in driving innovation and change in EdTech freelancing platforms, as the need for individualized and accessible learning experiences increases. It promotes a worldwide culture of lifelong learning and information sharing

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Background of the study: Obesity is one of the most crucial condition where there is increased body weight caused by excessive accumulation of fat. It is most crucial part which is very much attached to surrounding environment , social culture and also behavioural context. Large intake of food which are rich in energy and fat, low in physical activity and more inactivity level are the major part for increase in obesity. With this other factors are the dietary factors which act as a major role in causes of obesity.

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A COMPARATIVE STUDY TO ASSESS EATING BEHAVIOUR AMONG OBESE AND NON OBESE SCHOOL CHILDREN IN SELECTED SCHOOLS, ERNAKULAM

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: We ran a health survey with the help of google forms which provided concise data of the individuals including their medications. This research investigates the status of diabetes and its associated complications in the Indian population. Utilizing a dataset of studied individuals, this study analyzes demographic, health-related, and diabetes-specific metrics to draw a comprehensive picture of diabetes management and its challenges in India. The paper assesses various factors, such as age at detection, blood glucose levels, medication usage, comorbidities like hypertension and diabetic retinopathy, as well as economic considerations impacting medication accessibility. Key findings highlight the heterogeneity in diabetes onset, control, and management strategies, underscoring the complex interplay between health education, healthcare access, and socioeconomic status. The research underscores the need for individualized care plans, increased health literacy, and improved affordability of diabetes care. This research aims to contribute to the dialogue on enhancing diabetes care in India, poised on the cusp of a diabetes epidemic, and explores the broader implications for public health policy and patient empowerment.

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 Keywords

Name, Contact Number, Gender, Weight, Height, Age, Blood Group, Community, Occupation, Education, Address, Chronic Disease, Diabetes Detection, Blood Glucose Level, Prescription, Medicines, Dosage, Brand Name, Company Name, Disease History, Hypertension, Diabetic Retinopathy, Hb1Ac Value, Medication Affordability, rationalization.

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This research explores the development of a cost-effective and efficient Radar System controlled by Arduino, utilizing ultrasonic sensors and servo motors. Traditional Radar Systems, reliant on radio waves, often face limitations such as extended detection times, short ranges, and high costs. In response, this study proposes an innovative approach using ultrasonic sensors, providing a real-time, accurate detection of objects within defined ranges. The system employs an Arduino Uno board, connecting ultrasonic sensors to servo motors for rotational coverage. Visual representations, including object angles and distances, are generated via the Processing IDE, enhancing navigation, positioning, and object identification capabilities. Moreover, integration with an ESP32 cam facilitates IoT-based applications and live streaming, extending the system's utility to include mapping, tracking, and even automatic laser shooting mechanisms. This approach not only addresses the shortcomings of traditional Radar Systems but also offers a versatile, low-cost solution suitable for indoor applications, thereby paving the way for enhanced object detection and obstacle avoidance in various domains.

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Arduino, Ultrasonic sensor, Servo motor, Simulation

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This research paper explores the legal framework for minority rights in India, focusing on the constitutional protections and statutory provisions that safeguard the rights of religious, linguistic, and cultural minorities. The paper examines the historical context of minority rights in India, the challenges faced by minority communities, and the effectiveness of existing legal mechanisms in addressing these challenges. Through a critical analysis of relevant laws, judicial decisions, and government policies, the paper aims to assess the state of minority rights in India and propose recommendations for strengthening the legal framework for protecting minority rights.

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Minority rights, Human rights, Constitution of India, Law, Judicial role

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This review analysis is a multifaceted exploration of indigenous communities, focusing on the two PVTGs (Particularly Vulnerable Tribal Group) i.e. the Juang and Dongria Khond tribes of Odisha. The objectives are to review the cultural and livelihood practices of Juang and Dongria Khond, to compare the cultural and livelihood practices of Juang and Dongria Khond tribe of Odisha. The reviewer has analysed studies in order to deeply comprehend the culture and livelihood practices of these tribes. Research highlights the significance of traditional healthcare practices among the Juang and Dongria Khond emphasizing the preservation of biodiversity and traditional knowledge for sustainable healthcare and potential drug development. Moreover, it delves into the socioeconomic challenges faced by both tribes due to modernization and developmental interventions, advocating for aligned external interventions with traditional practices for sustainable development. Additionally, some researches illuminate the connection between preservation of agricultural knowledge and indigenous practices of the Dongria Khond, stressing the importance of maintaining sustainable practices rooted in local beliefs and festivals. Overall, these findings underscore the importance of holistic approaches that blend traditional wisdom with modern interventions to address the complex challenges faced by indigenous communities.

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PVTGs, Juang tribe, Dongria Khond tribe, culture and livelihood

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Dark web monitoring is a crucial aspect of cybersecurity and law enforcement, focusing on the surveillance and analysis of activities within the dark web, a hidden network accessible only through specialized software like Tor. This hidden network provides a haven for various illegal pursuits, including cybercrime, drug trafficking, and illicit trade. Detection, filtering, and analysis of illegal activities are essential components of dark web monitoring. Advanced technologies and methodologies, including machine learning algorithms, facilitate the identification and categorization of illicit content and behaviours across forums, marketplaces, and communication channels. Cybercriminals make full use of the hidden network called as Dark Web and they are hidden from the normal search engines which are publicly facing, to sell a variety of illicit products and services. A highly automated modular system called D-Monitor is described to help with the gathering and analysis of massive volumes of unstructured data. The system relies on a Python module named OnionSearch to collect URLs based on keywords we already define in our tool. and search through various search engines like Ahmia, tor66, and torgle. These keywords are not limited to already defined keywords, but more number of keywords can be added if required and expand our scope of data collection. The dark web's anonymity services safeguard user information protection, but they also provide the ideal setting for illicit and criminal operations including drug and gun trafficking, people trafficking, and illicit information transfers. A Python dark web monitoring crawler which is built by utilizing the tor network was created to gather and store a huge number of dark web site URLs in order to gain more information about the websites by searching using keyword parameter and find suspicious information and track criminals utilising the dark web to carry out illicit operations. The tool takes screenshots using the tbselenium module and displays them on the frontend, preserving anonymity and avoiding the need to rely on the Tor browser User Interface.

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DarkWeb Monitoring system, Crawling of DarkWeb, Detect anomalies on dark web, Effective URL enumeration, Onion crawling using python, tbselenium module to crawl dark web.

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This review study highlights the ongoing complexities in understanding nonlinear brain dynamics despite recent researches. Neuroscience addresses these challenges by integrating brain structure and function, exploring innovative methods to map and model neurobiological systems. It leverages an empirical method for comprehensive mapping and dynamic pattern recording, alongside some proposed networks theories. This study comprises of the computational advancement along new scientific frontiers: probing network dynamics, controlling brain architecture, and integrating processes across diverse domains. The Electroencephalography (EEG) signal is a precise method for recognizing emotions during computer interactions. The review study explores emerging techniques of the neuroscience, aiming to illuminate brain understanding. It offers a compelling roadmap toward a deeper comprehension of complex brain functions and cognition.

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Emotion, Electroencephalogram signal, emotional intelligence, state of the art, Comprehensive study

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This research work examine production planning and control as a tool for minimizing defective products through effective production planning and control in R.R LATEX gloves manufacturing company. Hence the scope of the research cover every activity which has to do with production planning and control. The work covers statement of the general problems, research objectives, scope of the study, significance of the study and limitation of the study. Also diverse view of authors on production planning and control and other related areas in review. The research work employs the descriptive method for the purpose of an in-depth investigation. A sample size of 100 respondents was selected from the total population of 180 staff, questionnaire were administered to them, oral and verbal interview as well as obtaining information. Hypothesis H0 and H1 formulated on using effective production planning and control to minimize defective product in production performance. Date collected were presented and daily analysed in tabular format using percentages, other findings of the studying centered on the required raw materials used by the organization but sourced outside the country, government policies such as hinge tax payments, customers and excise charges contributes to high production cost with locally sourced raw materials not maintaining a stable price from time to time with future plans having limitation due to some government regulations, economic downs turn, environmental factors technological changes, competitors actions. The study also brought to the fore the importance of production planning and control in the role of forecasting in production and operation management. Finally based on the findings a number of quality recommendation were offered to the organization to embrace in raw materials sourcing using alternative means i.e. research and development department, the complete computerization of the control system and other key system should be pursued effectively.

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Production Planning, Production Control, Quality Management, Process Improvement, Defective Product Management

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Transdermal drug delivery was presented to overcome the difficulties of drug delivery especially oral route. Drug delivery through the skin a drug to achieve a systemic of drug is known as transdermal patches. Transdermal patches are widely used as cosmetic, topical, transdermal drug delivery system. Transdermal patch is medicated adhesive patch that is placed on the Skin to deliver a specific dose of medication through the skin and into the bloodstream. Topical administration of therapeutic agent's offers many advantages over conventional oral and invasive methods of drug delivery. Several important advantages of transdermal drug delivery are limitation of hepatic first pass metabolism, enhancement of therapeutic efficiency and maintenance of steady plasma level of drug. The basic components of transdermal patch consists of polymer matrixdrug reservoir, active ingredient (Drug), permeation enhancer, pressure sensitive adhesive, backing laminates, release liner, other excipients like plasticizer and solvent. There are many methods of preparation of transdermal patches like circular Teflon mould method, assymetric tpx membrane method, mercury substrate methods, IPM membrane methods, EVAC membrane method, free film method. Cellulose derivative, zein, gelatin, polyvinyl alcohol, polyvinyl chloride, polyethylene, polypropylene this are the polymers used in the preparation of transdermal patches. Also there are many evaluation parameter of transdermal patches like thickness, uniformity of weight, drug content determination, moisture content, moisture uptake, flatness, microscopic studies, adhesive studies, peel adhesion, tack properties, quick steel (peel tack method) test . This review article provides an overview of transdermal drug delivery system, its advantages over conventional dosage forms, drug delivery routes across human skin, permeation enhancer, and various preparation methods.

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Keywords: TDDS, topical drug delivery, systemic blood circulation.

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Social media platforms like Twitter and Facebook serve as rich sources of user-generated content, offering valuable insights into public sentiment. This paper presents a novel approach to sentiment analysis using OpenAI's GPT-3.5-turbo model integrated with Python and Flask. Our model provides two key functionalities: predicting sentiment for individual social media posts and analyzing the overall sentiment of CSV files containing reviews. Leveraging the power of artificial intelligence, our system efficiently processes large datasets while generating accurate sentiment predictions. Additionally, we employ JavaScript libraries to visualize sentiment distributions, enhancing data interpretation. Through this research, we contribute a comprehensive framework for real-time sentiment analysis, empowering users with actionable insights into social media discourse.

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Sentiment Analysis, Social media, Natural Language Processing, OpenAI GPT-3.5-Turbo, Flask, Text Mining.

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Leaks of oil and gas pose serious safety and environmental threats. To address this, a reliable detection and alert system is crucial. This paper proposes a system utilizing high-sensitivity gas sensors to identify leaks. A central processing unit analyzes sensor data to trigger alarms and potentially activate automatic shut-off valves. The system boasts reliability through features like sensor redundancy and self-calibration. This translates to improved safety, reduced risk of accidents, faster response times, and potential cost savings. Applicable to pipelines, refineries, storage facilities, and various industries, this system enhances safety and environmental protection. Further research can explore advanced sensor technologies and data analysis methods for even greater effectiveness.

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Oil and Gas Leak Detection, Leak Alert System, Gas Sensors, Central Processing Unit (CPU),Alarm System, Automatic Shut-Off Valve, Wireless Communication, Data Logging, Sensor Redundancy, Self-Calibration, Real-Time Leak Detection,Safety,Environmental Protection, Pipeline Monitoring, Refinery Safety, Storage Tank Leak Detection.

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