bluuebunny/crossref_metadata_2025 huggingface dataset:
An Automatic Stress Analysis and Emotion Detection Framework for Humans Based on Several Brain Signals
Authors: Kishor R Pathak, Farha Haneef
Published: June 2023

In common parlance, stress is the feeling people get when they have a lot on their plates and are having trouble keeping up with everything. Although some degree of stress might be useful in the short term, chronic stress has serious negative effects on health, including increased risk of cardiovascular problems such heart disease, high blood pressure, and stroke. Depression, anxiety, and personality disorders are also possible outcomes. Hence, stress detection is helpful for managing stress-related health problems. Perceptual, behavioural, and physiological reactions all provide useful indicators of stress levels. Based on feature extraction and classification methods, numerous researchers have presented a wide variety of methods. Some of these methods are difficult to implement and produce unreliable outcomes when applied to the study of human stress.Patient denial, insensitivity, subjective biases, and inaccuracy are only some of the issues that arise from relying solely on doctor-patient interaction and scale analysis when diagnosing Stress. To better predict clinical results, a computerised, objective system is needed for Stress diagnosis and treatment. In an effort to better detect Stress, this research modifies EEG data and use machine learning algorithms. Ten participants' EEGs were recorded using a Narosky system while they were exposed to various emotional face cues. Psychologists relied on the EEG signal as a diagnostic tool for Stress. Both machine learning and deep learning were used to analyse the features. Using PCA, ICA, and EMD for BCI applications yields significant results. With SVM, a programmer can reap many benefits: PCA has great generalisation properties, and it can detect tension and pressure from EEG signals. The effect of overtraining is particularly vulnerable to the curse-of-dimensionality when the signals are negative. By analysing EEG waves, we were able to detect Stress with these benefits. The experimental study provides a somewhat comprehensive summary of the various methods, all of which rely on frequency domain analysis of 14 EEG data.
A Critical Investigation in Assessing the Main Metrics of Using Machine Learning Approaches for Bank Risk Management in the Current Era
Authors: Preety Tak
Published: June 2023

In a variety of application fields, including image classification, recognition of speech, and machine interpretation, machine learning (ML) and artificial intelligence (AI) have attained human-level performance. Nonetheless, master based credit risk models keep on administering in the monetary business. To continuously present new strategies, it is important to lay out significant benchmarks and correlations on AI approaches and human master based models. The progressions in banking and chance administration, as well as the present and future issues, have been the subject of much exploration in both scholarly community and business. Through an examination of the current writing, this paper expects to distinguish regions or issues in risk the board that poor person been adequately investigated and might be great contender for additional exploration. It additionally examinations and assesses AI methods that have been explored with regards to banking risk the executives. The comparison's main results showed that machine-learning models outperformed traditional methods. The neural networks also demonstrated excellent results when compared to other methods of machine-learning (ML) in relations of AUC and precission/ accuracy.
Identification of Aspergillus Fumigatus using Molecular Techniques
Authors: Prathibha K. Y., Marhoob Banu, Keshamma E.
Published: June 2023

Plant pathogenic fungi belong to the Kingdom Fungi comprising of over 100,000 registered species grouped into about 4,300 genera. Many of these fungi infect a variety of cereals particularly stored condition. A study was conducted to evaluate the occurrence of Plant pathogenic fungi associated with stored Sorghum vulgare grains. The fungal was subjected to the fungal load for exact identification using the molecular biology technique. The fungal isolates were isolated from the collected grains. Results revealed that Genus Aspergillus fumigatus was the most frequent isolate which are known to produce Aflatoxins. A combination of many different isolates was present on the grains. The molecular identification method using Polymerase Chain Reaction (PCR) helped in the identification of fungi at the species level with precision and in the least possible time. In conclusion, the isolated species were identified morphologically as Aspergillus fumigatus. The fungal samples were then identified through molecular techniques by DNA sequencing which was identified as Aspergillus fumigatus. The molecular techniques used in this study, has added great benefits to the process of distinguishing between similar species of fungi in comparison with the classical techniques. Furthermore, there is a need for having a National Level, Germplasm collection centre and detailed database of all the naturally occurring post-harvest Plant pathogenic fungi for easy intervention and timely overcoming of situations in case of any emergency.
Effect of Strength and Flexibility Training Combined with Skill Practice on Performance Related Variables of Female Badminton Players
Authors: Pooja Beniwal, Rajesh Dhauta
Published: June 2023

The purpose of the study was to determine the effect of strength and flexibility training combined with skill practice on performance related variables of female Badminton players. The subjects of the study were fifty female Badminton players who were regularly training at the S. N Badminton Academy, Rohini, Sector 24, Perch Sports Academy, Rohini, Sector 7 and Gurgaon Sports Badminton Academy, Rohini, 9 for a period of six weeks. The subjects were classified into two groups i.e. experimental group (N=25) and control group (N=25). The experimental group trained with strength and flexibility exercises combined with regular participation in the Badminton skill training sessions whereas the control group regularly participated in only Badminton skill training sessions. Application of analysis of variance followed by LSD post hoc test reveals that the Experimental group which trained with strength and flexibility exercises combined with regular skill training sessions attained significantly superior performance as compared to control group which regularly practiced skills of Badminton.
Optimal Design of Two Junction Four Reservoir Water Transmission System
Authors: A. R. Bansod, R. S. Tatwawadi
Published: June 2023

Applying mathematical models to obtain optimal solution for water transmission system has been of major concern during the last few decades for optimal utilization of public fund which is limited. Optimization problem for water transmission system is considered as a non-linear problem during the search process to identify the decision variables.In this paper, flow path algorithm coupled with dynamic programming has been adopted to obtain the optimal design of the multi reservoirwater transmission system.
Smart Car Parking System Using IoT
Authors: D. Vishnu Priya et al.
Published: June 2023

A simple and easy task such as parking is thought as a tedious and time-consuming process due to mismanagement of parking system. Current parking systems involve huge manpower for management and requires user to search for parking space floor by floor. Such conventional systems utilize more power, along with user’s valuable time. This paper presents a Smart Parking & Energy Management solution for a structured environment such as a multi-storied office parking area. The system proposes implementation of state-of-the-art Internet of Things (IoT) technology to mold with advanced Honeywell sensors and controllers to obtain a systematic parking system for users. Unoccupied vehicle parking spaces are indicated using lamps and users are guided to an empty parking space, thus eliminating need for searching for a parking space. The occupied parking spaces are virtually stored to the cloud to be accessed by central system and direct the upcoming cars to empty spaces. The automatically controlled light illuminance helps reduce energy usage, along with lighting up the parking space to the user whilst in the parking space. The entire system being fully automatic leads to reduced manpower involved and improves illuminance aesthetics of the parking area. This paper aims at improving user’s time value and convenience in a parking system.
System State Estimation Using Weighted Least Square Method
Authors: Mohmadishak Sheikh, Chetan Sheth
Published: June 2023

State estimation is an essential part of every energy control management system. Accurate estimation of state or operating state is essential for security control and monitoring of power systems. Power system state estimation is a procedure to estimate true state from the inexact state of a power system. The conventional state estimator provides estimates of the power system states, i.e., bus voltages and angles which is obtained. State estimation is a computational technique for electrical power system.  It empowers the calculation of the power flows of the electrical power system which are not observed or not directly measured. State estimation is a computer program that detects, isolate and eliminate the incorrect or bad measurement data and estimates the accurate state. The magnitudes of bus voltage and phase angle are the states variables for an electrical power system. This paper outlines Weighted Least Square (WLS) estimation techniques and simulated estimation for standard IEEE systems.
Relevance of Shakespeare for the Contemporary Genre
Authors: Kiranmai P., P. V. Ravi Kumar
Published: June 2023

We all believe in things that have happened in our lives. Individually we tend to retain at least a few events that occurred in the past. Though forgetfulness acts like a boon at times, some aspects can never be forgotten. Especially Plays were not written for the purpose of reading but just for the sake of stage performance and inner satisfaction of the author. Reading, understanding and remembering the major characters and situations in the plays of Shakespeare caused flutter and goosebumps among students, when they had to face a test on Shakespeare or submit an assignment to the English teacher. The plays of Shakespeare were deep, straight forward, comic and serious tragedies along with some historical insights provided through historical plays. Shakespeare is the most revered of all English dramatists. The plays still have some validity and relevance in the modern context. The 36 or 37 plays that were penned down perhaps are the most entertaining dramas for all time.
Human Resource Accounting (HRA): A Study on Perception of HR Regarding their Economic Worth
Authors: Amar Jyoti Borah
Published: June 2023

The basic objective of the paper is to study the Human Resources Accounting practices, to identify the issues and challenges, to examine these issues and challenge.
Progressive Analysis and Predictions of Leukemia (Cancer) Patients on a Machine Learning Model- The APPOLLO Hospitals Accredited
Authors: Kamel Alikhan Siddiqui et al.
Published: June 2023

This abstract describes a machine learning model for predicting the prognosis of cancer patients with leukemia. The model is based on analyzing patient data such as age, gender, diagnosis, lab results, treatment history, and prior hospitalizations. The model employs supervised learning techniques such as random forests and gradient boosting to generate predictions of survival probabilities. Additionally, the model uses feature engineering to identify important features and reduce noise in the data. The model is evaluated using the area under the receiver operating characteristic curve (AUC) and other metrics. The results indicate that the model has good predictive accuracy and can be used to identify high-risk patients and guide clinical decisions. The goal of this project is to develop a machine learning model for the diagnosis and prognosis of leukemia in Indian patients. The model will use a progressive analysis of patient data to identify the characteristics associated with leukemia, including genetic markers, environmental exposures, lifestyle factors, and demographic information. Using this information, the model will be used to accurately predict the risk of developing leukemia in Indian patients. Additionally, the model will be used to identify the most effective treatments for those diagnosed with leukemia and to monitor the disease progression. Finally, the model will be evaluated for its accuracy and effectiveness in a clinical setting.
Identification of Source of Misleading Information and Stop the Dissemination through Blocking the User
Authors: Girishkumar K. Patnaik, Akash D. Waghmare, Dinesh D. Puri
Published: June 2023

Introduction: At present, people are more dependent on Internet sources for any sort of information or news. So, the news/information needs to be preserved and should not be modified by any user. Providing security for the news data is a major concern. The decentralized approach of a chain of blocks is used in order to strengthen the security of the news. The existing blockchain framework that offers openness, tamper-proofing, privacy, controlling information, and monitoring is inherited in the proposed work. Precisely, the idea is to build a safe platform that can detect bogus news on social media platforms. Even if the environment is fragile, the chain of blocks-based decentralised peer-to-peer environment provides security to the published information.

Objectives: As a result of recent innovations and advancements in the field of computer technology, social media networks have emerged as one of the most crucial aspects of contemporary human existence. Social media has developed into a well-known platform for information dissemination and news, as well as for daily reports. There are a variety of benefits associated with social media; but, on the converse, there is a great deal of misleading news and data that can mislead the reader. One of the major issues with social media is that there is a dearth of information that can be relied on as well as real world news. Because of misleading news on social media, users are misled. So, to build a trustful environment, early detection of misleading news is necessary. Innovative machine learning methodologies are useful to identify and recognize misleading news more accurately.

Methods: Misleading news is more viral than real news. People instantly believe on the false information. So, there is a need to reduce the dissemination of misleading information on social media. In order to minimize the spread of misleading news, the source of the news needs to be traced. In overall, proposed system utilizes the chain of blocks and applies proposed machine learning methodologies in order to identify misleading news and thereafter reduce the propagation of misleading information by blocking the fake user.  

Results: An experimental analysis reveals that the proposed classification algorithm obtains a better accuracy rate. In order to produce useful training rules and evaluate the test classifier, a number of features are extracted like TF-IDF, N-Gram features, and dependency-oriented NLP features from the data input.

Conclusions: The proposed method analyzes every user's uploaded information, identify fraudulent users and reduce the propagation of false information by blocking the user.
A Detailed Study of the Radon and Progeny Levels in Houses of Bangalore Metropolis, Karnataka, India
Authors: L. A. Sathish
Published: June 2023

Introduction: Radon, a radioactive inert gas that makes up a significant portion of the background radiation to which people are exposed, can endanger public health when it builds up in inadequately ventilated residential and commercial spaces. The lungs' exposure to alpha particles after inhaling Radon decay products accounts for around half of the overall radiation effective dose to the general public. Objectives: To observe the variation of radon and progeny levels in different locations and different houses of Bangalore city having variety of features viz., season, walls, rooms, flooring, volume and diurnal various. Methods: Standard protocols provided by Environmental Assessment division, Bhabha atomic research centre, Mumbai is followed for the all the measurements. Results: In this outlook, the interior atmosphere must have to be carried out for both 222Rn (radon) and 220Rn (thoron) levels in order to provide an accurate assessment of the natural breathing dose. For the present study a sizable number of measurements had been made for more than eight years which examined the effective dose rates caused by indoor levels of 222Rn, 220Rn, and their progeny during various seasons of the year. In order to lessen the effective dosage rate, it is advised that lower size houses have sufficient ventilation and granite floorings to be avoided. Conclusions: More thorough research should be planned and carried out in this area and across the nation on the evaluation of public exposure to natural radiation, particularly the exposure from 222Rn, 220Rn and their offspring.
Gender Preference towards the Choice of Video Streaming Service Providers among Youth in Covid-19
Authors: Kalia Gitanjali, Garg Pankaj
Published: June 2023

Media content providers, through video streaming services have revolutionized the way of providing entertainment to its viewers. They have not only changed time, date and venue of our content consumption but has also upsurged new media watching habits. The study was conducted to study the preference and reasons of preferring one video streaming service provider over others electronic platforms during the spread of Covid-19. 286 youth within the age group of 15-24 formed the sample of the study and online survey was conducted to gather their responses due to the Covid restrictions. The data was further tabulated and analysed with the help of t-test through SPSS. The research concluded Hotstar and Netflix to be the preferred medium for the males whereas Voot was the most popular application amongst females. Pricing was found to be the least satisfying criterion among both the categories whereas quality, language and variety showed varied response.
Voyeuristic Advertisements and its Impact on the Viewers: An Empirical Study
Authors: K. Preetham, Dr. Harshitha Y. S.
Published: June 2023

Advertisements related to voyeurism portray people or objects in a sensual manner. Its main intention is to capture the attention of the audience. Such advertisements are mainly concerned with selling products associated with sensuality, and beauty such as lingerie and beauty products. Such advertisements have negatively impacted society as they propagate racism, false notions of a perfect body, an inferiority complex, low self-esteem, body shaming, and gender stereotypes which lead to sexual harassment and sexualization towards women. Empirical research was conducted through convenient sampling. Research Questions were shared through Google form with around 100 respondents, aged between 18 and 40. The purpose of this study was to investigate the effects of voyeuristic advertising on viewers The following are the research questions: 1. Do viewers feel comfortable watching Voyeuristic /pleasure-seeking ads with family on the TV? 2. Does Voyeuristic/pleasure-seeking ads on roads distract riding or driving? 3. Does the Viewer experience moral conflict while watching Voyeuristic/pleasure-seeking ads? 4. In which media does the viewer come across Voyeuristic/pleasure-seeking ads? 5. Are women actors in the Voyeuristic/pleasure-seeking ads perpetuating women’s subjugation? The findings of this study suggest that voyeuristic advertising should be discouraged as it can have a negative effect on viewers. The viewers of advertisements especially women should develop critical thinking and boycott such products that perpetrate and propagate gender stereotypes. Products promoting gender equality should be encouraged.
The Impact of Public Service Advertising: Social Development or Social Change through Development Communication: Strategic Communication through Corporate Lobbying: An Analysis of the Changing Dynamics from Print to Digital Media
Authors: Shyamali Banerje et al.
Published: June 2023

The term 'public service advertising', although familiar to all of us, has never been exposed to critical analysis in India till 2000 onwards as the growing popularity and inescapability of media messages through advertising has reached to a crescendo during the times of a transition from one-dimensional print media to digital media. And in this process of change-over, the intent of 'public service' which means to mobilize the public to take action for a common goal or objective, has got affected. Public service advertising with all ennobled and embellished connotations, catalyzing social change or transformation is nothing new. However, the problem arises when under the garb of 'public service' the centers of power, media elites or communication strategists, try to propagate their own world views through constantly bombarded different social media platforms, the grey areas of borderline between public service or public good and personal interest and personal benefit get obliterated. This research study will try to highlight the issues of propagandist intent of public service advertising and how the ideals of social change or social development through development communication strategies is taking a drastic turn towards forging a mass consensus on false assertion and fake identity. The article has used quantitative analysis methodology to analyze the various understanding of the concept of 'public service advertising' and for that matter, social media platforms like YouTube, Instagram are used as its variables for analysis. The sample size used for this study is 150 respondents. The study has concluded from the detailed analysis that the alarming scenario of diluting the phenomena of 'public good or public service' has created a huge propensity towards creating a hegemony, ie, self-glorification or self propaganda and the 'social development' intent of the social messages or public service messages is getting diluted because of the growth of strategic communication interfaces or equipped professional elites working as political actors.
Mass Media, Propaganda & Ethics: An Overview of a New Upsurge of Fascism in India
Authors: Shyamali Banerjee, Sanju Xavier
Published: June 2023

Mass Media, especially print media since its inception, if we look back, during Industrial Revolution and its concomitant Mass Production, has always been dwindled in between two binary epithets: Political Allegiance and Media Democracy. The duality lies in the fact that when the media has to work at the behest of political parties, ruling parties at the helm of body politique of the state, for its survival and sustenance, of course the other epithet which is ‘Media democracy’ or democratic rights of the media is questionable. However, the compulsion to show political allegiance to the ruling party at the governance is never accepted by the media without resistance and therefore any attempt of imposing censorship on media has been vehemently protested. Examples can be multiplied by drawing instances from history. Political censorship in Indian Media has never been such a recurrent phenomenon as it has become in the recent past. Also, ‘political allegiance’ when turned to propaganda tactics is more vulnerable than that of securing unflinching faith in the government. The number of defamation cases clamped against media houses, reporters and photo journalists have gone up from 13 to 167 as per a recent survey made by an independent journalist. This research study explores the fact that digital propaganda and political allegiance has been used by the ruling government to ensure a mass consensus over a number of socio-political issues, starting from Farmers’ Bill to Abrogation of Article 370 of Indian Constitution or for that matter Warfare Propaganda. The methodology that is used for this study is content analysis of media representation of information and speech analysis of PM Narendra Modi using a unique coding method. The samples are chosen on the basis of how media has represented announcement of different developmental schemes by the Modi Government and what they represent in reality. Most of the news reports that are analysed in this study between 2016-2022 are sourced from different newspapers and internet sources.
“The Changing Perspectives in the New Generation Malayalam Movies: A Content Analysis From an Ethical Point of View”
Authors: Thomas Sobi
Published: June 2023

Film is the appropriate medium that communicates most meaningfully to humanity.  Film has that capacity because it touches on almost all aspects of human life, its ethical principles, religiosity, philosophy, sociology, psychology, aesthetics, and so on.  In the film, man recaptures the centuries that have gone by and visualizes the future as well. Such familiarity with film in human existence makes it a matter of study and analysis.

Film history goes back to the 1890s and is spread across nations and various languages. So, an analysis of the film in general would be a Herculean task. Thus, this research is focused on the Malayalam films of two decades, viz, 1999 - 2018.  It is an attempt to study the New Generation Malayalam movies from an ethical point of view with the methodology of content analysis.

A film is like a retreat. Each and every frame in the movie, the words, actions, movements, costumes, and all other characteristics contribute, in one way or other, something to the story. Therefore, in this study, the researcher tries to analyze the so-called ‘new generation Malayalam movies’ which demolish the traditional style and reconstruct a new style of filming. This is an attempt to understand the changes, the reasons behind the changes, and the effect of the same from an ethical point of view.

This study analyses and compares 20 Malayalam movies which belong to two decades viz., 1999 to 2008 and 2009 to 2018. The dominant objective of this study is to learn about the changes in the ethical content of the movies than in their technical perfection resulting due to the technological developments in filmmaking. The content of a movie is more important as it reflects contemporary social norms and behaviour.
Iot Based Home Security System Using Arduino
Authors: Narsaiah Domala et al.
Published: June 2023

As home security has become an important aspect in life and is necessary to be in every home due to the rising crime rates and robbery that is happening in out day to day life. In this work in progress paper we evaluate an application of home security system using Arduino. This project is based on the implementation in the IOT domain home security system which will allow to make homes secure from anywhere in the world. The main objective of this project is it should be cost effective and at the same time also secure, and this can be achieved by the use of IOT devices and other low cost electronic components and using them in such a way to build a secure home security system. This project was remove some of the limitations in the previous home security system applications. Home security is very useful application of the IOT domain and we will be using it to build a low cost security system that can be affordable by almost everyone.
IoT Based Smart Cart with Automatic Billing and Anti-Theft
Authors: Vudimudi Lakshmi Satyanjali Devi et al.
Published: June 2023

Shopping involves getting tired due to standing in a long queue for the bill and payment process. Hence, Automatic Shopping Cart is designed with Instant Billing and Theft Protection. The main goal is to provide a technology oriented, low-cost, easy and rugged system for aiding shopping in person. The automatic shopping cart will reduce the time and effort of the customer there by helping the customers walk straight away into the shop, purchase products and walkout of the shop. We call it “IOT BASED SMART CART WITH AUTOMATIC BILLING AND ANTI-THEFT”
Role of Emerging Risk Markers in Cardiometabolic Syndrome
Authors: Sheena Joe et al.
Published: June 2023

Cardiometabolic syndrome (CMS), also known as metabolic syndrome (MetS) is a common and silent epidemic, which is linked to type 2 diabetes mellitus, abdominal obesity, and a higher risk of cardiovascular disease. Comprehensive demographic, physiological, genetic, and clinical data were collected from 199 subjects suffering from varying degrees of Metabolic syndrome (MetS) and 100 healthy control subjects. Mutagen induced chromosome sensitivity analysis for DNA repair proficiency and the extent of somatic DNA damages by Cytokinesis-Block Micronuclei (CBMN) assay were also performed among the study subjects. The study found that individuals with CMS showed an elevated concentration of Lp-PLA2, MA and hsCRP. The study also showed an association between DNA damage and DNA repair among the test subjects. Microalbumin and Lp-PLA2 can be considered good markers for the early prediction of coronary artery disease (CAD) and several other cardiovascular diseases. In addition, the rising frequency of somatic DNA damage points to the varied degrees of MetS progression. Thus, novel biomarkers can identify patients who are at risk beyond traditional ones, thereby alleviating the possible CMS events and also other disorders related to CMS by following healthy lifestyle habits and proper medication.
Incorporating the New PRNG in Advance Encryption Standard
Authors: Dilshad Akhtar Neda Fatma, M. R. Hassan,
Published: June 2023

This manuscript explores the fusion of two well-known encryption algorithms, the Advanced Encryption Standard (AES) and the Rivest Cipher (RC4), resulting in a novel encryption algorithm called AES-RC4. AES-RC4 is a block cipher that combines the strengths of AES with a variant of RC4 called RC4-GF, developed by ourselves. RC4-GF incorporates additional steps compared to AES, resulting in a more intricate ciphertext generation process.

The introduction of AES-RC4 brings forth a highly secure encryption technique with increased complexity in the ciphertext compared to traditional AES. By leveraging the combined capabilities of AES and the modified RC4-GF, AES-RC4 offers enhanced encryption strength and improved resistance against cryptographic attacks.
Remotely Controlled Smart Home System Using Voice and IoT
Authors: Mohd. Musharaf Ali Shaik Mahammad Rasool, Noureen Fatima, Shoaib Zubair,
Published: June 2023

The Internet of Things (IoT) is formulated to remotely connect, access, monitor, and control the existent world entities through the Internet. When the IoT is conceptualized for the home, it converts a simple home to a smart home which is safer and automated. In this paper, a Voice/Text controlled Home Application is developed where the users can remotely access the home appliances. The users can merely provide voice commands or text messages through which they will be able to turn the appliances ON or OFF depending upon the necessity. The users can schedule the status of the appliances when they are not physically present in the environment. They will also be provided with information regarding the previous schedules, and they can also turn on the appliances for a specific period of time. The Node-RED Technology is used for the functions of the application which is embedded with an IoT device (NodeMCU). This developed application is deployed in the Dialog Flow Account. The NodeMCU is connected to regular home appliances. As per the parameters fetched from the cloud the NodeMCU operates the Home Appliances. The implementation cost of this application is very cheaper since high-performance and least-cost equipment are used. This application is greatly consistent and proficient for elderly people and differently-abled people who cannot reach the switch, for switching ON/OFF the device.
The Empowerment of Women Through Microfinance as Decision Maker and as a Development Participant of the Country
Authors: Safin C. M. Jayaseely,
Published: June 2023

Micro-finance programmes not only give women and men access to savings and credit, but reach millions of people worldwide bringing them together regularly in organised groups. Although no ‘magic bullet’, they are potentially a very significant contribution to gender equality and women's empowerment, as well as pro-poor development and civil society strengthening. Through their contribution to women’s ability to earn an income these programmes have potential to initiate a series of ‘virtuous spirals’ of economic empowerment, increased well-being for women and their families and wider social and political empowerment. The two key systems for the release of financial services to such customers include ‘relationship-based banking’ for individual entrepreneurs and small businesses along with ‘group-based models’. Micro finance services and groups involving men also have potential to question and significantly change men's attitudes and behaviours as an essential component of achieving gender equality. The purpose of exploring the improvement in the status of economic life of women after accessing to Microfinance is studied.
Development of Virtual Assistance Strategy for Students Using Blockchain and Artificial Intelligence Framework
Authors: Nitesh Kumar
Published: June 2023

The education sector is important and continuously upgrades in all aspects. Some essential needs are learning materials, teacher involvement, and student potential to use the resources for better knowledge gain. In a post-pandemic scenario, looking back at pandemic situations, educational reformation took place quickly. Virtual training, virtual laboratories, and online educational facilities must provide flexible training to students, working professionals, and corporate certifications to stay current in this technological era. Hence, this paper presents the virtual assistance strategy using artificial intelligence and blockchain to schedule various tasks at the convenience of the learner and instructor. The paper also uses quantitative analysis to present the post-research feasibility analysis for the proposed system.
Re-Thinking Society and Culture in the Era of Globalization - A Study of Selected Writings of Mahasweta Devi and Arundhati Roy
Authors: K Jayaramudu
Published: June 2023

This paper presents the writers consciousness of the society in the Era of Globalization specially how the writers try to show India in their works such as Mother of 1084, Bayen, Aajir, Statue were written by Mahasweta Devi and The God of Small Thingswas written by Arundhati Roy these two writers generally trigger the society’s pathethatic situation of the human condition such as in the form of Naxalism, women subjugation, oppression, outcast and patriarchal society, caste, class and gender in which especially how the women characters are shown not only women but also other souls in the novels through them we can easily understand the writers unconsciousness towards the culture of India. Here we can see how the women characters are killed or weaken in their works particularly apolitical mothers of children are made voiceless at the end of the novels (mother of 1084,Bayen,Statue and The God of small things) though they are Women writers and also radical in thinking they cannot escape from the Culture psychologically.
Ethical & Legal Implications of Deep Fake Technology: A Global Overview
Authors: Ashish Ransom Shashank Shekhar,
Published: June 2023

It is said that a camera cannot lie. However, in this digital era, it has become abundantly clear that it doesn’t necessarily depict the truth. Increasingly sophisticated machine learning and artificial intelligence with inexpensive, easy to use and easily accessible video editing software are allowing more and more people to indulge in generating so-called deep fake videos, photos and audios.. These clips, which feature fabricated, altered and fake footage of people and things, are a growing concern in human society. Although political deep fakes are a new concern, pornographic deep fakes have been a problem for some time. These often purported to show a famous actress or model or any other woman, involved in a sex act but actually show the subject’s face superimposed onto another woman’s body who is actually involved in that act. This feature is called face-swapping and is known as the simplest method of creating a deep fake. There are numerous software applications that can be used for face-swapping, and the technology used is very advanced and is accessible. Deep fakes raise questions of personal reputation and control over one’s image on the one hand and freedom of expression on the other. This will have a significant impact on user’s privacy and security. Increasingly, governments around the world are reacting to these privacy evading applications for e.g., India banning TikTok and the USA investigating the privacy issues of TikTok and in the process of enacting laws to reduce the impact of deep fakes in the society. The study in this paper includes the ethical and legal implications surrounding the deep fake technology which also includes the study of several international legislations and analysing the position of India in tackling the crime of deepfake.
Special Graphs of Euler’s Family* and Tracing Algorithm- (A New Approach)
Authors: Pradeep Jha Rajeshri Prajapati, Amit Parikh,
Published: June 2023

There are in graph theory, some known graphs which date back from centuries. [Euler graph, Hamiltonian graph etc.] These graphs are basic roots for development of graph theory. In this paper we have discussed the novel concept of tracing Euler tour. It depends on the concept of Link vertex - a join vertex of finite number of cycles as components of Euler graph. In addition to this, a new notion of isomorphic transformation of given graph on to a given line segment known as ‘Linear Graph’ also plays an important role for tracing the Euler graph.
Convolutional Neural Networks using KERAS for Face Detection and Emotion Recognition.
Authors: Vishwas Machindra Sonawane, Shashikant V. Athawale
Published: June 2023

In the past few years, facial expression recognition has been a popular topic in the field of computer vision. The purpose of this research paper is to analyze the use of Convolutional Neural Networks (CNNs) with Keras for facial expression recognition. This paper will discuss the main architecture of CNNs and the advantages of using Keras for facial expression recognition. It will also discuss the challenges associated with using CNNs for facial expression recognition and the potential solutions. Additionally, a detailed description of the datasets used for the research and the evaluation metrics used to measure the performance of the model will be provided. Furthermore, the paper will provide a comprehensive discussion of the results obtained from the experiments and its implications.
Smart Suspect Tracker Using Deep Learning Model
Authors: B. Sanjai Prasada Rao et al.
Published: June 2023

Each human progress requires a problem free environment since it influences all components of monetary and social turn of events. Quite possibly the main work in keeping a serene local area is finding lawbreakers. In India, finger impression ID is  the most part used to distinguish lawbreakers In most of the cases,  The fact is that most Suspects these days are becoming more skilled at trying not to leave their thumbprint on the scene, this type of recognizable proof is restricted. CCTV cameras, have been placed in number of public spots and confidential spots to give reconnaissance activities. CCTV can be used to distinguish the denounced rapidly. we give a Profound Learning model to find the criminal location. It's a two-step process: In camera photos, countenances of individuals are first distinguished and afterward perceived. This method might be utilized in an assortment of surveillance cameras in different areas to persistently screen and look for hoodlums inconspicuous. The police headquarters will be cautioned of a suspect's where abouts after the person in question has been distinguished. The police headquarters will be cautioned of a suspect's when he/she has been found.
Smart Data Analysis (Housing Data)
Authors: B. Sanjai Prasada Rao et al.
Published: June 2023

In the modern era, the immense value which data holds goes into a waste as much of this information is not prominently visible to the common user, which the internet hosts. One of such areas is Renting/Buying houses in India. Today many people are still relying on brokers who are dishonest for buying/renting their homes. Even though many websites host good amount of information for the same purpose, many go unnoticed. This project aims to simplify the process of collecting and understanding the hosing data to use it effectively. The first module of the project deals with web scraping which allows the users to collect any number of data which internet hosts on different websites in any format and converting the same into a structured data set. The data extraction happens by extracting the HTML code which is embedded to the website and using a scraping tool to break the content on the website into useful data we require. This structured data set is available in the form of an excel sheet (.xlsx format or .csv format). Following it, the second module aims at querying the user and applying reverse indexing to the structured data to find relevant results based on the query raised by the user, to find the results.
The Controlling Cholesterol Levels In The Elderly Using Dayak Onion Collecting Therapy
Authors: Kurniawan Didi , Sari Fransiska Novita , Tarnoto Koko Wahyu
Published: June 2023

Hiperkolesterolemia merupakan salah satu faktor yang berkontribusi terhadap penyakit kardiovaskuler. Lansia yang mengalami kondisi tersebut memerlukan terapi non farmakologis demi mengurangi polifarmasi pada lansia. Tujuan penelitian memberikan solusi terapi komplementer berupa ramuan tradisional untuk menurunkan kadar kolesterol dalam darah. Desain penelitian ini menggunakan pre eksperimen tanpa ada kelompok kontrol, yaitu one group pre test-post test design untuk mengetahui apakah terdapat pengaruh pemberian terapi seduhan bawang dayak dalam menurunkan kadar kolesterol. Sampel diambil menggunakan teknik purposive sampling berjumlah 38 responden. Hasil uji normalitas data yang diperoleh bahwa data tidak berdistribusi normal, oleh karena itu peneliti menggunakan analisis data dengan uji Wilcoxon Signed Ranks Test. Hasil penelitian diperoleh bahwa nilai Z lebih kecil daripada nilai Z tabel, sehingga terapi seduhan bawang dayak berpengaruh terdapat penurunan tekanan kadar kolesterol darah. Berdasarkan kondisi tersebut maka dapat digunakan sebagai terapi tambahan yang digunakan dalam menurunkan hiperkolesterolemia.
PEMBERDAYAAN KADER KESEHATAN TENTANG GERMAS DALAM PENCEGAHAN PENYEBARAN COVID-19
Authors: Wahyu Koko
Published: June 2023

Pandemik Covid-19 berhasil mengubah kebiasaan yang kita lakukan sehari-hari baik di rumah, di sekolah, di tempat kerja, di jalan dan dimanapun. Untuk melawan virus covid-19, maka hal utama yang perlu dilakukan adalah menerapkan Germas. GERMAS merupakan gerakan nasional yang mengedepankan upaya promotif dan preventif, tanpa mengesampingkan upaya kuratif-rehabilitatif. Keberhasilan GERMAS dapat terlaksana dengan program pemberdayaan masyarakat. Tujuan umum pelaksanaan program pengabdian kepada masyarakat melalui pemberdayaan kader kesehatan adalah mensosialisasikan kepada kader kesehatan di Kelurahan Mojosongo Kota Surakarta tentang kegiatan GERMAS dalam rangka mencegah penyebaran COVID-19 varian omicron, upaya pencegahannya serta pemeriksaan kesehatan bagi kader secara berkala, dan pelaksanaan senam covid-19 dalam mencegah penularan COVID-19 varian omicron ini. Hasil pelatihan menunjukkan pengetahuan kader mengalami peningkatan sebanyak 85%. Diharapkan pengabdian masyarakat dapat diterapkan oleh kader kesehatan dan ditindaklanjuti oleh Dinas kesehatan dan jejaring puskesmas di wilayah kerja masing-masing.
PENINGKATAN PENGETAHUAN DAN KETERAMPILAN PENGELOLAAN DAN MANAJEMEN POSYANDU LANSIA PADA KADER KESEHATAN DI WILAYAH KERJA PUSKESMAS BENGKURING KOTA SAMARINDA
Authors: Khumaidi Khumaidi , Bahtiar Bahtiar
Published: June 2023

Latar Belakang: Layanan posyandu lansia merupakan salah satu usaha kesehatan masyarakat bagi kesehatan lansia. Optimalisasi pengetahuan dan keterampilan kader merupakan hal yang krusial. Kader diharapkan mampu menerapkan komunikasi dan cara memberikan penyuluhan kesehatan dengan baik dan diterima oleh lansia.

Metode: Pelaksanaan pengabdian masyarakat dilakukan pada tanggal 20 Oktober 2022 di Aula Pertemuan Puskesmas Bengkuring Kota Samarinda. Pelaksanaan kegiatan ini dilakukan selama 1 (satu) hari yang dibagi menjadi dua sesi yaitu sesi pertama pemaparan materi berkaitan dengan pengelolaan dan manajemen pelayanan posyandu lansia. Selanjutnya, dilanjutkan dengan sesi kedua berupa demonstrasi dan simulasi pengelolaan posyandu lansia dengan pendekatan 5 meja. Sebelum pemaparan materi, peserta diberikan daftar pertanyaan (pre-test). Adapun untuk evaluasi kegiatan diberikan daftar pertanyaan yang sama (post-test).  Pertanyaan yang diberikan sebanyak 10 item.

Hasil: Rerata hasil pretest terkait pengetahuan dan keterampilan pengelolaan dan manajemen posyandu lansia adalah 8 dan meningkatkan menjadi 9,6 pada posttest. Kesimpulan: Edukasi dan peningkatan keterampilan berkelanjutan diharapkan dapat terus dilakukan untuk meningkatkan kualitas pelayanan kader terhadap lansia.
EDUCATIONAL QUALITY
AS A SOCIAL VALUE AND OBJECT OF PEDAGOGICAL MONITORING
Authors: YANCH V. , LYUBCHENKO O.
Published: June 2023

The article reveals the results of the research of essence and content of the concept “educational quality”, which
has evolved to customer satisfaction with the provided educational service, allowing to fulfill the social order for training
of highly qualified specialists, possessing not only knowledge and professional competences, but also providing conditions
and opportunities for development of creative potential of a personality and a citizen. Within the framework of the
research the educational quality has been considered at two levels – at the level of the learner and at the level of the
educational system that supports the educational process itself. Based on the conceptualization of the quality of education,
the main elements that allow improving it are highlighted. Pedagogical monitoring and assessment of the educational
quality are considered from the perspective of tools that allow making balanced and timely management decisions aimed
at improving the progress and results of the process.
SOME PROBLEMS OF QUALITY ASSURANCE OF MASTER'S THESES
Authors: LUKHVERCHYK V.
Published: June 2023

The relevance of the article is determined by the need to improve the quality of professional training of graduates

mastering educational programs of the II stage of higher education. A brief analysis of the practice of training masters

in the context of history and modernity, including Belarus, is made. It is noted that only writing a high-quality master's

thesis has always been an indispensable condition for obtaining a master's degree. Some factors, that motivate university

graduates to further improve their professional training, are established. The criteria for assessing the quality of the

dissertation are determined. The most typical mistakes made by undergraduates when preparing a master's thesis are

systematized.