Volume 11 | Issue 6

 Abstract

This paper presents the significance of hydraulic forklift. In modern life, there are many types of forklifts, from a large heavy loading truck to one operating between narrow corridors. Forklifts have become one of the basic transportation tools we use in our lives. With all the existing forklifts, we find that there are improvements that can be made to bring the forklift to better performance. The design of the existing forklift is limited in rotation and the structure has a potential safety hazard. Our new design has 180 rotating forks attached to the body of the truck at both ends. Also, it has a screed height under the user's cabinet that enhances stability. By measuring and analyzing the machine's vibration, it is possible to determine both the nature and severity of the defect, and hence predict the machine's failure. The vibration signal of a gearbox carries the signature of the fault in the gears, and early fault detection of the gearbox is possible by analyzing the vibration signal using different signal processing techniques. This paper presents analysis of vibration in gears using modal analysis and FFT analysis. It also presents analysis of gears with crack and gear with missing teeth. It also presents the analysis of Natural frequency in steady as well as running condition.

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Forklift, Ductile Iron, Steel 4340, Mesh, SOLIDWORKS, ANSYS

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Phyllodes tumors are rare ; fibroepithelial tumors that represent <1% of tumors of the female breast. These tumors are often unilateral , benign breast tumors in women(70%) ,Rare are the malignant phyllodes. Surgery is the mainstay of treatment. Large excisions with 1 cm margins are suggested. While smaller and medium-sized phyllodes tumors can usually be seen, gigantic tumors are very rare observed in neglected tumors and pose a burden to the surgeon to reconstruct a breast aesthetically acceptable to the patient and have healthy boundaries. By definition, a giant phyllodes is greater than 10 cm in diameter . We report the case of a patient with a large phyllodes tumor that developed over a period of 5 years causing ulceration and disfigurement of the breast and we will study the main characteristics of these tumors and their management

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Malignant phyllodes tumors , breast cancer

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Indian financial sector is witnessing a faster digital transformation significantly after 2016 Demonetization policy. Indian Govt. is trying to decrease the amount of paper currency by making new regulations and implementing policies to ensure data protection and smooth on-line financial transactions. The main purpose of these policies was to induce access of banking services for the unbanked and under banked population of the country. Fintech Adoption in country is driven by digital increased financial awareness and literacy. The Indian Fintech Market is expected to attain revenue of $200 billion by 2030. India has the highest Fintech adoption rate globally at eighty seven percent. With increasing customer base these ventures starts providing new financial services beyond transactions and lending business such as Insuretech, lendingtech, Neo-banking, crowd funding, Robo advisory etc. These businesses are using new technologies like, Block chain, Artificial intelligence and Aadhaar enabled service for e- signing, instant robotic response to provide more personalized services to users at cheaper costs for faster transactions. Data security and lack of tech expertise are the biggest challenges faced by Fintech Ventures in India. To grow in Indian economy, Fintech companies have to play the collaborating role in the industry rather than disrupting the traditional financial institutions at least for some years due to difficulties faced by Fintech ventures in raising funds, finding new customer base, lack of awareness among under banked population and fear of unauthorized data sharing.

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 Keywords

Fintech, Financial inclusion, Neo- Banking, Artificial intelligence

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The spread of a rumor's information happens more quickly than ever before because to the bridge that billions of mobile phones provide between mobile sensor networks and social networks. Because of this, rumor dispersion becomes a significant problem in those two networks, and understanding how to predict it is crucial when dealing rumors that initially have only a minor influence. Modern diffusion models, however, neglect the microcosmic individual impact in favor of the macroscopic group impact. Since there is only one rumor spreader at the start of rumor diffusion, they are not appropriate to perform rumor diffusion prediction. We suggest a unique game theory-based model dubbed the Equal Responsibility Rumor spreading Game Model (ERRDGM) to simulate the rumor spreading process in order to address that issue and predicate it. In this model, we first show the diffusion process as a game between people and their neighbours who decide whether to retweet or not based on their game revenues; second, the players will split the responsibility of spreading a rumor in calculating their game revenues; and finally, when the game reaches the Nash equilibrium state, we build the rumor diffusion prediction graph which shows the diffusion scale and network structure of rumor diffusion in a system.

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: Social Networks, Rumor Diffusion, Game Theory Model, Nash Equilibrium State.

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Gangrene is a severe medical condition characterized by the death of body tissues due to a lack of blood supply or infection. Timely and accurate prediction of gangrene can significantly impact patient outcomes and guide appropriate medical interventions. This paper provides an overview and analysis of machine learning-based prediction models for gangrene. We begin by discussing the clinical significance of gangrene, its causes, and the challenges associated with its prediction. We emphasize the need for early detection and intervention to prevent further tissue damage and potential complications.Various machine learning algorithms, including logistic regression, K-Nearest Neighbors, support vector machine, naive bayes, decision trees and random forests, are examined for their application in gangrene prediction. We explore the features and data sources commonly used in these models, such as patient Diabetis, blood pressure, heart rate, respiratory rate, body temperature, skin condition and line of demarkcation. Additionally, we discuss the importance of feature selection and extraction techniques to enhance the predictive performance of the models. Data preprocessing steps, including missing data imputation, outlier detection, and normalization, are addressed to ensure data quality and model robustness. We delve into the evaluation metrics employed to assess the performance of gangrene prediction models, such as accuracy.

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Logistic regression, K-Nearest Neighbors, SVM, Naive Bayes, Decision trees, Random forests.

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To emphasize the positive experience of using innovative teaching methodologies among healthcare providers and the effectiveness of CPR through the use of high-fidelity mannequins rather than standard once. The aim of the study was to analyze how high-fidelity simulation training may impact knowledge, clinical performance and confidence levels of undergraduate students and compare this with low fidelity simulation traditional teaching methods. "An Quasi experimental design, Purposive sampling technique was used to select 50 students of first year B.Sc. nursing. Pretest was taken for initial knowledge assessment which was followed by a structured teaching program on high and low fidelity CPR simulation. Furthermore, post-test was taken to assess the knowledge and comparison between pre and post-test scores which are analyzed by using descriptive and inferential statistics. The experimental group shows that overall knowledge mean score in pretest was 14.26 that was increased with 19.22 in post-test. The mean difference found 4.96 after completion of the structure teaching program that clearly indicates that the knowledge among students has been increased.

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Innovative teaching methodologies, CPR, Low-fidelity simulation, High- fidelity simulation, Simulator, Mannequins, knowledge, effectiveness, comparison.

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Abstract Pregnancy is a kind of miracle by the God and a mother's joy begins when new life is stirring inside and a tiny heartbeat is heard for the very first time. Pregnancy is a unique and exciting time in a woman's life, as it highlights the woman's amazing creative and nurturing powers while providing a bridge to the future. The present study was to assess the knowledge and practices regarding Gestational Hypertension disease among antenatal mothers attending MCH centre, Tirupati, Chittoor (dist), A.P. Non experimental descriptive research approach was adopted. A total of 100 subjects were selected by purposive sampling technique. A structured questionnaire and check list were developed and standardized to collect the data. The results revealed that 78 per cent of antenatal mothers had inadequate knowledge, 16 per cent of antenatal mothers had moderate adequate knowledge and 6 per cent of antenatal mothers had adequate knowledge. Regarding practices 14 per cent of antenatal mothers had inadequate practices, 74 per cent of antenatal mothers had moderate adequate practices and 7 per cent of antenatal mothers had adequate practices. Significant association was found between level of knowledge and area of living, Religion of the mother, Education of the mother and Education of the father found significantly associated with practices. Keywords: Gestational Hypertension, Knowledge, Practices, * Research Scholar, Department of Home Science, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Chittoor (dist), A.P, India. **Professor, Human Development and Family Studies, Department of Home Science, Sri Padmavati Mahila Visvavidyalayam, Tirupati, Chittoor (dist), A.P, India.

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Gestational Hypertension, Knowkedge, Practices

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Customers are the foundation for any business benefit and that is why firms become conscious of the significance of acquiring satisfaction of customers. Customer churn is one of the major problems and it is regarded as one of the most essential concerns among companies because of increasing among firms, increased significance of marketing policies and customers awareness in present years. Organizations must develop different policies to solve the churn issues depending on the services they offer. Customer churn practice is essential in competitive and rapidly developing in telecom sector. The process of changing from one service provider to another telecom service provider occurs due to good services or rates or due to benefits to the customers which the competitor firm provides customers when signing up. Due to the greater cost related with acquiring new customers the prediction of customer churn has developed as an indispensable part of planning process and strategic decision making in telecom sector. The main aim of the study is to explore the customer churn prediction in telecom using in big machine learning data platform. Machine learning techniques have been used for estimating the customer probability to churn. This study makes use of logistic regression and KNN with big data for predicting consumer churn in the telecom sector. Logistic regression has been used widely to estimate the probability of churn as a function of variables set or features of customers. Similarly, for churn K-Nearest Neighbour is used to examine if a customer churns or not based on their feature's proximity to customers in every class. This study uses Kaggle website for dataset in predicting and analysing churn

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Churn, Telecom, Machine learning, Random Forest, logistic regression, decision tree, KNN.

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Aim: Assessment of pain and discomfort with different types of separators- Kansal, Kesling, Ni-Ti and Elastomeric separators. Materials and method: 100 adult subjects (50 Males and 50 females), aged 18-30 were chosen, four different types of separators (Kansal, Kesling, Ni-Ti and Elastomeric separator) were placed in the first permanent molar region in the same subjects and using a visual analogue scale [VAS] scoring system and Questionnaire Chart by the investigator, pain and discomfort recorded after 1st, 2nd, and 3rd day of separator placement over 24 hours intervals. Results: One-way ANOVA test depicts higher VAS score in elastomeric and less with Ni-Ti separators which was statistically highly significant (P<0.001). Presence of pain during chewing was statistically highly significant with Kesling and Kansal separator after day 1 while Ni-Ti and elastomeric after day 3 whereas at rest it was significant (P<0.05) for only elastomeric separator after day 3 in females Whereas in males, it was non-significant (P>0.05) for Ni-Ti separator but, highly significant difference(P<0.001) during chewing with Kesling, Kansal after day 1 while elastomeric separator after day 3 at rest and during chewing. Conclusion: VAS score was more with elastomeric and less with Ni-Ti at all durations whereas Kansal was less painful in females after day 1 and 2 and in males after day 3 while Kesling was less painful in males after day 1 and 3 which increased over 24 hrs of interval. So, Clinicians need to have preferred a suitable separator taking into account the amount of separation in conjunction with pain and discomfort. Clinical implication: A variety of separators are available in the market hence one should search for a separator that gives maximum separation and minimum discomfort to the patient.

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Separator, Visual Analogue Scale [VAS], Pain, Discomfort.

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Our skin is one of the important parts of our body that covers and protects our internal parts. While doing so our skin can get affected by various allergies, irritants, or diseases which can lead to a skin condition. Skin disease is one of the conditions which affects our skin and causes various kinds of skin-related problems. We have come across various kind of skin diseases which involves a wide range of varieties while some of them can leave a permanent mark on our skin and some don't. If it's not cured early skin diseases can also cause a social impact on a patient. With the various advancement in the field of image processing and detection techniques, these diseases can be detected early and cured. In this paper, we have explored diseases like monkeypox, acne and detected them successfully using AlexNet, a CNN deep learning model with an accuracy of 97.2%, precision of 98.9%, F1 score of 97.24% and recall of 95.64%.

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Skin diseases, image processing, deep learning, CNN, AlexNet, Monkeypox, Acne

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The banking industry's technological advancements have made our lives easier. Today, it is very much a part of people's lives, particularly ATMs. The ATM has become a necessary element of our everyday lives and society. ATM has successfully reached a broad consumer base at a minimal cost. The purpose of this study is to determine the level of awareness among bank customers uses ATM services in Vapi. A self-administered questionnaire was used to obtain primary data from 238 bank customers for this study. To meet the study's objectives, data was tabulated and analysed using statistical methods.

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ATM Services, ATM Card, ATM Machine, Awareness, Technology

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Abstract Archetype (derived from Latin Archetypum and Greek Archetypon means arche + typos= root / origin +model or pattern) are the original objects, images or even characters, events, or situations from which other similar things are patterned or copied in various forms of art and literature. Archetypes often represent fundamental aspects of the human psyche and provide insight into the narrative's deeper meanings. In the present paper therefore, an attempt has been made to examine how Chitra Banerjee Divakaruni evokes the journey Archetype in her novel Oleander Girl by showcasing the evolution of her main protagonist Karobi. The emphasis in the study undertaken will primarily be on the exploration of the inner journey of the protagonist towards the completeness, wholeness and selfhood. With the inner journey the focus will also be laid on the outward physical journey which parallels the journey inward. Through the lens of archetypal criticism the paper will also examines recurring symbols, motifs, and character types that tap into universal human experiences and collective unconsciousness. Joseph Campbell's concept of journey contained in The Hero with Thousand Faces, Carl Jung's concept of 'individuation' and Carol. S.Pearson ideas about the archetypes or 'inner guides' will form the theoretical framework.

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Archetypes, Journey, Evolution, Wholeness, Selfhood,

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This dissertation explores the impact of homophobia on LGBTQIA+ individuals, focusing on lesbian, gay, bisexual, transgender, queer, intersex, asexual, and other gender identities. Homophobia, defined as an irrational fear or hatred of LGBTQIA+ individuals, can manifest in various forms such as discrimination, bullying, harassment, violence, and denial of basic human rights. A sample of 100 college students was used to measure homophobia levels by the Italian version of the Homophobia Scale Questionnaire and ANOVA was conducted to examine if there were significant differences in the mean of the response variable across different treatment groups. The results indicated that there is a substantial difference in the mean of TREATMENT across the various treatment groups, with a significant F ratio. The rejection of the null hypothesis suggests that the impact of homophobia on the lives of LGBTQIA+ individuals varies significantly depending on the level of homophobia experienced. This study contributes to the existing literature by shedding light on the detrimental effects of homophobia on the lives of LGBTQIA+ individuals. The findings emphasize the urgent need for creating awareness, fostering inclusivity, and implementing measures to combat homophobia in order to ensure the well-being and equal rights of LGBTQIA+ individuals in society.

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Homophobia,internalized homophobia,health,mental health,LGBTQIA+,individuals

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Power systems are prone to faults that can result in substantial damage to expensive components, explosions, outages, and even fatalities. To mitigate these consequences, a robust power protection system is crucial for detecting, classifying, and locating faults. This technical description presents a comprehensive methodology that utilizes machine learning algorithms such as Convolutional Neural Networks (CNN), Random Forest (RF), K-Nearest Neighbors (KNN), Decision Tree, and Support Vector Machine (SVM) to accurately detect and classify faults in electrical systems. The main objectives of this study are to identify and categorize various fault types occurring at different locations and resistance levels, gain insights into the causes of interruptions, restore power promptly, and minimize future occurrences. Additionally, the analysis aims to improve the understanding of protection system components to implement preventive measures and reduce the likelihood of service disruptions and equipment damage. The proposed solution integrates CNN as a machine learning algorithm to enhance fault detection and classification performance by leveraging its ability to extract relevant features from fault data.. The performance of various machine learning algorithms, including RF, KNN, Decision Tree, and SVM, is evaluated and compared. Among these algorithms, SVM demonstrates the highest performance in terms of fault detection and classification accuracy. It effectively identifies and categorizes different fault types, enabling swift fault location determination and subsequent mitigation actions. The experimental evaluation is conducted on a Test Network using MATLAB/SIMULINK, which provides a realistic representation of an electrical system. The results highlight the effectiveness of SVM in fault detection and classification, emphasizing its suitability for practical implementation in power system protection.

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Line fault, Ground fault, SVM, Linear Regression, CNN, Machine learning

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The study you mentioned goes beyond measuring the workability, cubic compressive strength, and splitting-tensile strength of the modified concrete. It also focuses on the durability parameters of the concrete, specifically water absorption, permeability, sulphate attack, and chloride attack. The goal is to evaluate how the addition of silica fume impacts these important aspects of concrete performance. The paper provides a comprehensive review of the use of silica fume (also known as micro-silica or nano-silica) as a mineral admixture in concrete.

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silica fume

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This article majorly focuses on the gender disparity in the field of higher education in Indian context. The reality of existence of gender inequality in Higher education in India is complex and exists in all spheres of life. In this study an attempt has been made to explore the factors that lead to this phenomenon. This article has followed narrative review format to know the subject matter in detail. This review attempts to explore the factors that lead to gender inequality in Higher education of Indian youth. The data is enumerated through electronic search and since the literature on this area is in Indian context, all types of research studies have included. The electronic search included SCORPUS, PsycINFO, Google Scholar and MEDLINE. This research emphasizes the critical role of socio-cultural practices in hindering female representation in the Indian higher education system. By fostering female education, Indian women can become self-reliant, adequately socialized, and empowered to contribute significantly to the nation's development. It is imperative to raise awareness in society about the significance of women's education, creating a better world for women to live and thrive.

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Equality, empowerment, equity, inequality, disparity, higher education

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Shankha is one of the Calcium-enriched animal origin marine materials used in Ayurvedic practice in form of Shankha bhasma, known by the Indians since vedic period, but its internal application as a medicine has been recognised from Charak Samhita period. Rasa Tarangini (a classical 20th century book on Ayurvedic pharmaceutical medicine) has detailed elaborative description of the pharmaceutical processing of Shankha to derive its Bhasma. It is used since ancient Indians to treat various ailments like Ajirna (indigestion), Agnimandhya (decresed enzymatic secretion), Amlapitta (acidity), Grahani (irritable bowel syndrome) etc. The present study is designed to compile and accesses all the relevant and standard work done related to Shankha bhasma preparation in addition to standardization in terms of its pharmaceutical and analytical parameters. Relevant literatures of ancient India related to ayurvedic pharmaceutics for preparation of SB along with contemporary research databases and various other appropriate contents on the internet were thoroughly searched. This work may provide an insight into its potential effect in characterization and therapeutics, eventually leading to betterment of human life.

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Shankha, Bhasma, Ajirna, Agnimandhya, Amlapitta, Grahani

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To maintain a discipline and let students grasp utmost knowledge in schools, colleges and universities the attendance system was introduced. There are two conventional techniques to mark attendance of students in a particular class. One of them is by calling the roll number and the second is to take students sign on a piece of paper against their roll number. Hence there was a need to evolve this system in such a way that it could become user friendly, less time consuming and efficient. This is an automated system to assist the faculty in taking attendance of the whole class without any disturbance or time waste. The idea can encompass a large number application one of which include face identification, it will help save time and efficiently identifies and eliminates the chances of proxy attendance

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Attendance, face identification, Recognizer, OpenCV

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During the 20th century, literature had resurgence in the world of fiction in America where many writers from the diversity of ethnic minorities shared their ideas, backgrounds and culture with the public through their novels. Chinese-American writer Lisa See is known for implied details about her culture in her novels. See's novels The Girl of Humming Bird Lane and Dreams of Joy pay particular attention to the special bond between mothers and daughters. While the mothers have different individual histories, they seem interchangeable as they all have similar personalities that are strong, determined, and have the arcane power to show similar concerns for their daughters' well-being. As a result, the mothers are possessively trying to hold on to their daughters, and the daughters are battling to get away from their mothers.

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The Girl of Hummingbird Lane, Dreams of Joy, Rituals, Taboo, love, motherly love, etc.,

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Plants still make an important contribution to health care. Large number of medicinal plants has been investigated for their antioxidant properties in the form of raw extracts or from their chemical constituents as they have medicinal importance and also very effective in preventing the destructive processes caused by oxidative stress and also reduces both psychological and physiological stress. Since, plants possess enormous benefits, it was decided to study Ricinus communis, Muntingia calabura, Pongamia pinnata, Wrightia tinctoria, Ficus religiosa, Thespesia populnea, Polyalthia longifolia,Saraca asoca, Senna siamea, Phyllanthus reticulates, Tecoma stans, Syzygium cumini, Artocarpus heterophyllus, Ficus carcia, Psidium guajava, Avocado, Pisum sativam, Phyllanthus emblica, Mangifera indica plants from places around salem. Phenolic content was high in most of the plants studied fom the study area when compared to flavonoid content. The nitric oxide scavenging activity, hydrogen peroxide scavenging activity, iron chelating activity, reducing power activity was found to be moderate with all the plants studied from the study area. The reducing power activity was high with plants studied from Balaji rubber industry,Rasipuram,Namakkal, Tamil Nadu, India. The carotenoid content was high in most of the plants studied from the study area. Similarly, the protein content was high in most of the plants studied from Asian rubber industries, Kandhampatti, Salem, Tamil Nadu, India. While, carbohydrate and amino acid content was found to be moderate in most of the studied plants except very few plants.

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Antioxidant activity, Nutrients, Secondary metabolites.

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