Volume 12 | Issue 4

 Abstract

The production of aluminium has increased globally as a consequence of increased industrialization in many developing countries and emerging economies. as well as greater demand for aluminum products. It has significant industrial and economic importance for Orissa, as this is the one of the metals for which the state has abundant raw material. Having national and local importance the metal has been produced increasingly creating a lot of environmental concern creating worth addressal at the local, regional and national level. The present study is an effort to address such issues at the local and regional level and make policy suggestions at the national level. Divided into five parts the present paper tries to understand the effect of outdoor pollution in the rural peripheral regions of Angul Aluminum smelter plant and captive power plant. Based on a cross sectional survey data collected through primary survey from 169 households within the 15 km radius of two plants the study tries to find the impact of exposure on possible health effects of peripheral population.The primary and secondary data indicated prevalence of health issues in nerarby area to the plant specific to the industry in comparison to distant and control village. The outcome of the study is significant for planning of management of air pollution and its effect on local and peripheral population.

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 Keywords

Angul-Talcher area,socio-economic study, health survey, industrial pollution

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In recent times investment companies have emerged as the most dynamic segment in the Indian financial system. These companies make multiple studies and efforts to understand various dimensions considered by retails investors while making investments and various factors influencing investment behavior of retail investors to design and modify the features of savings and investment avenues. This article conducted a study to understand one of the influencing factors in investment making process i.e the way of making investment decision by degree college lecturers in Mysore district. It is found that there is no significant association between teaching department, place of residence, nature of residence and the way of making investment, whereas there is significant association between age, gender, spouse working status, family structure and the way of making investment.

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Saving pattern, Investment pattern, Investment awareness, Investment avenues, Salaried employees

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The project describes the development of an IoT-based accident prevention and alerting system for vehicles. The system utilizes Raspberry Pi 3B+ to collect data from various sensors and initiate actions to prevent accidents and notify emergency services when one occurs. The system continuously monitors the driver's state through an alcohol sensor and the vehicle's surroundings using an ultrasonic sensor. The system uses tilt sensor & vibration sensor. If the system detects a value exceeding a predefined threshold, indicating a possible drunk state, the alcohol sensor detects the presence of alcohol, an alarm is triggered to warn the driver. The ultrasonic sensor constantly measures the distance between the vehicle and nearby objects. If a collision is detected by the vibration sensor & tilt sensor detecting possible rollover, exceeding a specific threshold, the system retrieves the location coordinates using the GPS module and transmits them, along with an emergency message, to designated contacts via SMS using the GSM module. This enables an emergency response, potentially minimizing injuries and saving lives.

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 Keywords

Internet of Things (IOT), Raspberry Pi, GPS, GSM, Sensors.

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Speech recognition, the evaluation of extension and flexion, the analysis of Electrooculogram (EOG), and the recording of face movements are some of the methods that may be used to accomplish emotion recognition. These sorts of emotion identification algorithms, however, are not able to identify human emotion very well since people have the ability to mask their true feelings via speech and fake body language. In this we proposed Recurrent Neural Network and Long Short-Term memory (RNN-SLTM) based hybrid classification algorithm for emotion classification on brain signals. The various machine learning and single deep learning classification algorithm has used for identify the class sentiment. The Weka 3.7 machine learning framework for machine learning algorithms while DeepLearning4J for deep learning classifies has used during the implementation. In extensive experimental analysis the module has evaluated all machine learning classifies and our proposed hybrid classifier.

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 Keywords

Sentiment analysis, social data analytics, brain signal analysis, supervised classification, machine learning, deep learning

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 Abstract

Empowerment encompasses all values of lifestyle which includes social, financial, cultural and political diamensions. Empowerment of people is to be expressed as recognition and workout in their rights. It is to essential that ladies are taken into consideration same companion in development with guys. Hence empowerment of ladies is a holistic concept. Empowerment of ladies covers social, political and financial aspects. Entrepreneurship improvement amongst ladies is the inspiration stone for financial empowerment of ladies. Entrepreneurship of ladies is the maximum effective device to get rid of their issues of unemployment and vulnerability. Active participation in financial sports ends in sound Economic system of the nation. Entrepreneurship has been the area of guys for an extended time. Micro entrepreneurship is the first-rare path for eradication of unemployment of ladies.

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Empowerment, entrepreneurship,

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This study presents a novel approach to detect stress in IT professionals, leveraging wearable devices to monitor physiological indicators and analysing user behaviour through machine learning algorithms. The system offers real-time stress detection and personalized profiling, aiming to identify and address stressors specific to the dynamic IT industry. Ethical considerations and privacy are prioritized, ensuring responsible deployment. The model not only recognizes stress but also provides insights into underlying causes, enabling targeted interventions and preventive strategies. By fostering a proactive and supportive work environment, the proposed system contributes to the broader conversation on mental health in the modern workplace.

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Innovative, Stress, Approach, Cognitive

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In the e-healthcare system, patients can gain an increasing number of high-quality medical services by sharing encrypted personal healthcare records (PHRs) with doctors or medical research institutions. However, a critical issue is that the encrypted PHRs result in loss of data content effectiveness by preventing an effective search for information. Another issue is that the medical treatment process requires the doctor to remain online at all times, which may be infeasible for all doctors (e.g., off- duty under certain emergencies). Through our scheme, (1) the patients' healthcare records collected by the devices are encrypted before uploading to the cloud; the encryption only allows the medical service provider to search over the collected patient data, (2) the proxy re-encryption (PRE) technology allows for the secure re-encryption of the collected PHRs from the medical service provider to any independent third-party research institutions, and (3) we combine the secret splitting technique and the channel codes for designing a privacy-preserving technique to guarantee that the remote PHRs monitoring process can be correctly continued, even if the medical service provider terminates service or drops offline during the remote PHRs monitoring process. We show that it is provably secure and preserves privacy of the PHR contents under the one-more-DMHE assumption, and provide experimental results to demonstrate the effectiveness and its performance.

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 Keywords

Proxy re-encryption, proxy invisibility, searchable encryption, mobile healthcare sensor networks.

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With an increasing emphasis on personal finance management, understanding how individuals navigate investment choices becomes paramount. Through a mixed-methods approach combining surveys and interviews, this research aims to discern the behavioral biases, cognitive heuristics, and socio-economic factors shaping employee investment decisions. By exploring these dimensions, the study seeks to provide insights into the psychological mechanisms driving financial behaviors within the workplace context. Ultimately, the findings aim to inform employers, financial advisors, and policymakers about strategies to enhance financial literacy, mitigate irrational decision-making tendencies, and foster more informed investment practices among employees. The sample size for study comprised of 178 respondents. The sampling technique used was convenient sampling. The research is Descriptive in nature. The statistical tools used for analysis include One way Anova, Correlation and Regression analysis along with Cronbach Alpha Reliability Test.

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personal finance management, employee investment decisions , financial advisors, financial literacy

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 Abstract

Abstract: In recent years, there has been a lot of interest in and attention to numerous sports. A significant chunk of the populace was desperate to attend a game because there hadn't been any athletic events throughout the outbreak's height. With millions of followers who follow the game faithfully, cricket is arguably the most popular sport in India. Enthusiastic about the game, spectators closely examine the abilities of each player, focusing on their shooting technique in particular. With the rise in popularity of fantasy leagues and other comparable services, people are becoming more interested in evaluating players before selecting them for their teams. The manual batter shot recognition method is one of the most time- and labor-intensive procedures.

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Keywords: Machine Learning, Linear Regression, Cricket Shot Analysis, Feature Extraction, Data Modeling, Sports Analytics Training Data

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The development, design, and implementation of a surveillance robot using the ESP32-CAM module--which combines an integrated camera with the potent ESP32 microcontroller to enable real-time video streaming, wireless communication, and customization--are presented in this paper report. The paper examines the main characteristics and features of this cutting-edge security robot, such as its capacity to record and broadcast live video feeds, keep wifi and Bluetooth connectivity, and adjust to different applications thanks to its programmable and customizable features.Furthermore, the repo rt shows how the robot provides an affordable substitute for conventional surveillance systems and seamlessly integrates with io t platforms for centralized monitoring. The paper's scope is succinctly summarized in the abstract, which also emphasizes the paper's importance in revolutionizing security and monitoring solutions across a range of industries

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 Keywords

Surveillance, Security, ESP-32 Cam, Detection, Portable, GPS, Recognition, IOT, Interface.

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Car driving simulator on real-time 3D platform refers to a computer-generated environment where a virtual car is modeled and can be driven by a user. It typically includes realistic physics, graphics, and interactions to mimic the experience of driving a real car. Users can control the car's steering, acceleration, and braking, and they often have the option to explore different virtual landscapes or race on tracks. These simulations are commonly used for entertainment, training, and testing purposes, such as in video games, driver training programs, or automotive engineering for testing vehicle performance. Build a Car Driving Simulator On Real-Time 3D game using Unity & C#. Includes coding AI self driving cars.

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Women in the age group of 20-28 years are in their young adulthood phase. During this time, they tend to explore a lot of relationships depending on their needs and wants. This age group involves a lot other aspects such as building a career, becoming financially independent, getting married. But with time, people just tend to see it a little more than that. They want to pursue their goals, travel the world, explore new places, get to know themselves better. This most likely affects the relationship they are in as they tend to give more time to themselves than to the relationship. The term "romantic relationship" is very deep and has several aspects. Such intimate relationships drive the need for attachment, more importantly secure attachments. Romantic relationships provide a space for people to trust the partner, that enables them to be vulnerable, further- to be themselves. All of these depend on various factors, especially the relationships that the person has seen at home, along their past romantic relationships. The previous studies have been conducted internationally and have not given emphasis to an additional aspect of how decision making is impacted in Young Indian Women with respect to Romantic Relationships. This study aimed to explore the relationship of Romantic Relationships with Emotional Dysregulation and Decision Making in Young Indian Women aged between 20-28 years. The data was collected from 121 participants using Relationship Assessment Scale, Emotional Regulation Questionnaire and General Decision Making Style Questionnaire. The statistics among Romantic Relationships, Emotional Dysregulation and Decision Making among Young Indian Women have been analyzed using Pearson's correlation coefficient that was calculated using SPSS to be 0.000 for Cognitive Reappraisal facet; 0.000 for Emotional Suppression facet; 0.007 for Systematic decision making style; 0.860 for Intuitive decision making style; 0.862 for Dependent decision making style; 0.006 for Avoidant decision making style and 0.104 for Spontaneous decision making style. This indicates that there is a positive Correlation between Romantic Relationships and Emotional Regulation for both the facets- Cognitive Reappraisal facet and Emotional Suppression facet. There is also a positive correlation between Romantic Relationships and Decision making for Systematic and Avoidant Decision Making Style as shown in result table 1. Further, Multiple Analysis of Variance value from Result table 2 predicts that Romantic Relationships have a significant impact on Expressive Suppression Facet (p=0.001, p>0.05). For Spontaneous decision making (p=0.045, p>0.05). Lastly, for Avoidant decision making (p=0.000, p>0.05).

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Key Words- Romantic Relationships, Emotional Dysregulation, Decision Making, Young Indian Women

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Virtual Patient Simulator for Medical Training aims to revolutionize medical education through the creation of an innovative chatbot platform. This platform provides medical students with a convenient and immersive training experience. The centerpiece of the system is a chatbot that simulates patient interactions, enabling students to practice diagnosing and treating various diseases. The uniqueness of the platform lies in its user-friendly disease customization feature, allowing students to tailor scenarios. This flexibility ensures relevance to the student's learning needs and diverse medical cases. Furthermore, an integrated feedback mechanism offers an overall rating of the student's performance, highlighting strengths and areas for improvement based on their interactions with the chatbot. To enhance engagement and interactivity, the project incorporates Speech-to-Text capabilities, making the learning process engaging and enjoyable. This project redefines medical training, empowering students with practical skills and insights crucial for their future careers.

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 Keywords

Virtual, Simulator, Chatbot, Diagnosis, User-Friendly, Customization, Feedback, Mechanism

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The study aims to examine the bail provisions in the Code of Criminal Procedure specifically focusing on Sections 436 to 450. It seeks to understand the operation and interpretation of these sections, particularly in relation to the courts' authority in adjudicating bail applications. Additionally, the study aims to evaluate the value and relevance of these bail provisions in the context of ensuring justice and fairness in the criminal justice system. The examination of bail provisions in the Code of Criminal Procedure, particularly focusing on Sections 436 to 450, encompasses an in-depth analysis of the legal framework governing bail in the Indian criminal justice system. This study delves into the historical evolution of these provisions, tracing their development and the underlying principles that have shaped their interpretation and application over time. Further, the research scrutinizes the judicial interpretation of these sections, shedding light on the evolving jurisprudence surrounding bail in India. By exploring landmark court decisions and legal commentaries, this study aims to provide a comprehensive understanding of the courts' authority in adjudicating bail applications and the factors that influence their decisions. Moreover, the evaluation of the value and relevance of bail provisions in ensuring justice and fairness in the criminal justice system entails an in-depth exploration of the practical implications of these provisions. This involves examining their impact on the rights of the accused, the interests of the victims, and the broader societal interests in maintaining law and order. The study also seeks to analyse the practical challenges and shortcomings in the implementation of these provisions, considering the dynamics of the legal, procedural, and institutional aspects that influence their efficacy. By delving into case studies and empirical data, this research aims to provide nuanced insights into the complexities of bail provisions and their implications for the criminal justice system in India.

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 Keywords

Bail, Law, Judicial, Criminal Justice System, Interpretation, CrPc

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The press has been glorified as the Fourth Estate, and it played an important role in National Movements in Kerala. It played a vital role in strong weapon and information propaganda. This article explain the role of Malayala Manorama in Kerala's freedom movement. It create public opinion on socio-economic issues and it focuses on Government activities. The press played an active support in freedom movement.

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 Keywords

Civil Rights , Fourth Estate , National Press , Freedom of Speech , Avarnas

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The goal of this project is to create an Internet of Things (IoT) smart energy meter utilizing the ESP8266 microcontroller platform in response to the growing demand for effective energy management and monitoring. By integrating Google Sheets, the energy monitoring system's usability and accessibility are improved through the user-friendly interface it offers for data logging and analysis. The heart of the smart energy meter is the ESP8266 microprocessor, which gathers and processes data from sensors that measure voltage and current levels. Users are able to track their energy usage in real time thanks to these sensors, which detect energy consumption accurately. This project's interaction with the cloud-based spreadsheet program Google Sheets is one of its main benefits. Users can access their energy usage by uploading data about their energy consumption to Google Sheets

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 Keywords

IOT, ESP8266, GOOGLE SHEET INTEGRATION, CURRENT SENSOR, VOLTAGE SENSOR, RELAY.

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This study investigates the relationship between employee motivation and performance within the context of Baroda Dairy, a prominent organization in the dairy industry. Utilizing a mixed-methods approach, both quantitative and qualitative data were gathered from employees at various levels within the organization. Quantitative data were collected through surveys, while qualitative data were obtained through interviews and observations. The findings reveal a significant correlation between employee motivation and performance, suggesting that motivated employees tend to demonstrate higher levels of productivity, engagement, and job satisfaction. Additionally, the study identifies key motivational factors such as recognition, opportunities for growth, supportive leadership, and fair compensation. The implications of these findings underscore the importance of fostering a work environment that prioritizes employee motivation to enhance overall organizational performance and success.

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Employee motivation, Performance outcomes, workplace productivity, Job satisfaction,Organizational performance, Motivational factors, Employee engagement, Leadership influence, Recognition, Compensation.

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Text summarization, the process of condensing large volumes of text into concise, coherent, and informative summaries, holds immense significance in the digital age. This paper explores various extractive text summarization approaches that are the fusion of Natural Language Processing (NLP) and Machine Learning (ML) techniques to advance the state of the art in text summarization. Our system leverages models, to understand the context and semantics of the text. Through techniques like tokenization, attention mechanisms, and pre-trained language models, we extract key information from documents, ensuring that the generated summaries retain their original meaning and coherence. Machine Learning plays a pivotal role in our system by training on a vast corpus of human-generated summaries, allowing our model to learn the art of summarization through data-driven patterns. We delve into the intricacies of extractive and abstractive summarization methods, showcasing the benefits and challenges associated with each. We evaluate our system on diverse datasets, encompassing news articles, academic papers, and legal documents. The results demonstrate the efficacy of our approach in generating informative and coherent summaries across various domains, surpassing baseline methods.

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Extractive Summarization, Text Summarization, Summarization Methods, Comparison Study, Evaluation Metrics, and Text Processing.

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Caesalpinia bonducella L. also known as "fever nut" Bonduc nut and Nicker nut belongs to the family of Caesalpiniaceae and has been reported in Folklore medicine and ancient Ayurveda scriptures. Caesalpinia bonducella has been shown to provide significant benefits for human health. It effectively treats PCOS and has antiseptic, antibacterial, anti-inflammatory, antidiuretic, anthelmintic, antipyretic, anticonvulsant, antidiarrheal, antiviral, antiasthmatic, anti-anaphylactic, antiamoebic, and antiestrogenic properties. It can treat a wide range of diseases. The study examined Pharmacognostic, phytochemical, and quality parameters, including microscopic and macroscopic studies. The ethanolic extract contained flavonoids, saponins, alkaloids, steroids, and resins. Research is needed to produce effective formulations without the negative effects associated with continuous therapy for illnesses such as PCOS, which often require long-term pharmaceutical use.

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fever nut, Aldose reductase inhibitory activity, Anticancer, Antibacterial

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Abstract: A tiny green box will appear in the center of the screen as the computer's webcam records footage of the person seated in front of the device. The objects displayed in that green box will be processed by the code, and if it matches, a red boundary will appear, indicating that the object has been recognized by the computer. The mouse pointer can then be moved by dragging the object. This will contribute to the computer's security as well as creating a virtual computing environment. In place of various objects, one hand gesture will be used to move the cursor here; a different gesture will be used for a right click and a different one for a left click. Similarly, a simple gesture can perform keyboard functions virtually that may have been performed on a physical keyboard. When the recognized gesture is noticed, a red border appears; otherwise, the box will just display a green box.

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Keywords: Haar Cascade Algorithm Virtual Mouse, Virtual Keyboard, Computer Vision

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