bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Mechanical Properties of AL6061/E-Glass Fibre Composites before and After Severe Plastic Deformation (ECAP)
Authors: Vinayashree, R. Shobha
Published: December 2023

This study focuses on characterizing and examining the mechanical properties of Al6061 Metal Matrix Composites (MMCs) reinforced with E-glass fibres before and after undergoing Equal Channel Angular Pressing (ECAP). Al6061 alloy is renowned for its exceptional mechanical properties and resistance to corrosion, making it highly suitable for various industrial applications. The addition of E-glass fibres enhances the composite's strength and provides the flexibility to customize material properties for specific uses. The fabrication process involved stir casting to ensure a well-dispersed and uniform material. ECAP was employed to induce grain refinement and investigate the composites' mechanical behaviour. Microstructural analysis was conducted to study the distribution of reinforcement particles and matrix phases. Density and porosity measurements were acquired using Archimedes' principle, revealing trends in the compactness of the composites. Rockwell hardness tests demonstrated an increase in hardness after ECAP, attributable to improved load-bearing capabilities. Tensile tests showed higher ultimate tensile strength (UTS) and reduced percentage elongation (PE) with an increase in E-glass fibre content and after ECAP. These findings offer valuable insights into the mechanical behaviour of Al6061 MMCs reinforced with E-glass fibres, showcasing the potential for tailoring properties to fulfil specific industrial requirements.
Forecasting and Prediction of Solar Energy in Solar Photovoltaic Plants
Authors: Aatif Mohi Ud Din, Vivek Gupta
Published: December 2023

An accurate solar energy projection is essential for a better the degree to which renewable energy is integrated into the functioning of the present power system. Due to the availability of data at previously unheard-of granularities, data-driven algorithms may be utilised to improve solar energy forecasts. In this study, two deep learning algorithms—the k Nearest Neighbor and Random Forest—are presented as the foundational models for the improved, globally applicable stackable ensemble technique. The results the core models are merged with a significant gradient boost technique, improving the precision of solar PV production predictions. Tests were conducted on the suggested model on four separate datasets of solar power in order to provide a full evaluation. To give more information on how the system learns, this study also used the shapely additive explanation framework. Comparing the predicted outcomes allowed for an evaluation of the suggested model's efficacy. of the model to those of individual KNN, RF, and Bagging. The recommended ensemble method offers the most consistency and stability across several case studies and surpasses existing models by 10% to 12% in terms of performance despite weather variations of R2.
A Comprehensive Investigation Into Speech Emotion Recognition Using Deep Learning
Authors: Amara Zahoor, Er Tarunjot Kaur
Published: December 2023

Emotional expression is a fundamental aspect of human communication and understanding emotions from speech has a significant impact on a number of software, namely human-computer interface, virtual assistants, and emotion-driven analytics.  A comprehensive study on utilizing Convolutional Neural Networks (CNNs) for emotional recognition of speech (SER). is presented in this thesis. Emotions from speech signals are recognized through the development of an efficient and accurate model. A large dataset of emotional speech samples, covering various emotions like Angry, disgusted, afraid, joyful, indifferent, depressed, surprised, is preprocessed and analyzed.

A novel CNN architecture, optimized for SER, is proposed, incorporating multiple a maximum pooling sequential normalization, and various layers of complexity. By extracting relevant features from speech representations, distinct emotional patterns are discerned effectively. Numerous experiments were carried out to validate the CNN model's effectiveness. The dataset underwent division into distinct training, validation, and testing phases. The outcomes exhibit encouraging accuracy and resilience in discerning emotions across various categories. By scrutinizing the model’s confusion matrix, a comprehensive classification report was generated. This report assessed precision, recall, and F1-score for individual emotional classes. The model's strengths were accentuated, while possible avenues for enhancement were pinpointed.
Ageing Effect On Shear Strength Of Mixed Kaolinite-Bentonite And Sand Clay Minerals
Authors: Jyothi D N, H S Prasanna
Published: December 2023

Fine-grained soils are mainly composed of kaolinite, montmorillonite, illite clay mixtures in various ratios beside sand in the natural world. Only demographically significant areas are being studied for the shear behavior of these soils, which takes a lot of time and money. Clay's basic behaviour demonstrates a lower shear strength magnitude, In order to solve this issue, extensive research was done to boost clay's shear strength. In view of increasing shear strength of clay , in this experimental study , different proportions of clay minerals were taken  namely kaolinite ,bentonite  and natural sand, which depict the kaolinitic , montmorillonitic and sand in nature. At the outset, out of 3 ingredients, Bentonite was kept constant at 10% and other ingredients namely kaolinite & sand were varied with minimum and maximum fines in the mix proportions. Further similar sets of experimentation were done with Kaolinite & Sand variations as explained, each time keeping the bentonite proportion constant at variation from 20 to 80%. Each sample with the pre-decided proportion was tested for its unconfined compressive strength by fixing the OMC and MDD as per required value which were done precedingly. Prepared samples were kept in plastic pouch for the period of 30,60 and 90 days .  These samples were also observed  for SEM analyses for microstructure study. From this experimental analysis it was observed that the unconfined compressive strength and shear parameters like  cohesion, and angle of internal friction were increased with different ageing span varying from zero to 90 days and also analysed in terms of their respective microstructures.

The results shows that the trend of increasing shear strength with 0 to 90 days of ageing effect  as well as increase in Bentonite content in the mix proportion .  Unconfined compressive strength (qu) increased from 78 kpa to 110 kpa(for minimum bentonite of 10%)  with increase in ageing from 0 to 90 days and observed  140 kpa to 204 kpa with the increase of bentonite in the mix proportion (maximum content of 80%) subjected to ageing effect from 0 to 90 days . From SEM analysis it was observed that crystalline white lumps and agglomerate structure were formed with increasing bentonite content in the mix proportion and ageing effect from zero to 90 days. It was responsible for the increase in strength and shear parameters of the mix proportion.
Role of Digital Technology in Supermarkets for Insights on Customer Experience
Authors: Ms. Ruchy Jain, Dr. Koshalpreet Kaur, Dr. Bindu Thakral,
Published: December 2023

The importance of the Internet era in our daily lives has grown, giving rise to sophisticated businesses. The objectives and goal of my research is to study how much various digital technologies are deployed in supermarkets of today. What are the factors in deploying the technology which is used worldwide, the gaps between old technology and new technology and finally this study identifies the gaps between the technology delivered and the task customers want to be simple. This is achieved by collecting all the digital technologies that are deployed in supermarkets and then doing surveys of digital technologies with customers and shop managers that gave us insight that there were gaps between the supermarket managers view of digital technologies and users view of digital technologies leading us to suggest them more suitable options and understand more accurately their preferences which leads to innovation in digital technologies.
Yoga Scale Intervention Study Based On Sikh Thoughts
Authors: Gurneet Kaur, Paran Gowda
Published: December 2023

Background

Sri Guru Granth Sahib is the main Sikh scripture. The SGGS promote principles of liberty and impartiality to pursue the way to the Guru following the path of peace and prosperity. The Sikh code of conduct is known as Sikh Rehat Maryada. The code is an outline of the mandates of daily routine followed by every Sikh.   It stipulates philosophy and mandates, according to the teachings of Sikhism’s 10 gurus. The primary goal of SGGS is to achieve union with God by constantly remembering God’s name.

Methodology

The concept of oneness of God for all humanity based on Guru Nanak Dev Ji’s teachings. Based on this concept, we formulated 30 questions like “I wake up before dawn”, “I meditate in silent location “etc. Meditation is a part of overall spiritual practices discussed with a sample size of 200 participants in the age group of 18-50 years.  The generalized Linear Model (GLM) is used to find the significance. RMANOVA (SPSS -25) software is used to find the calculated p-value 3 different tests viz; unpaired t-test, Chi-square test, and F statistics.

Discussion

The effects of the values and SGGS yogic practices of the present studies reasonably matches well with the historical examples, contemporary data, and some semi-structured interviews conducted by Nirvikar, 2022.

Conclusion

It is concluded from the present studies that a significant effect of SGGS yogic teachings may be seen in human life.
Harmonizing Muffler Design: The Virtuoso Performance based on Inlet Diameter, Outlet Diameter and Material in Orchestrating Transmission Loss
Authors: K Santosh Kumar, K Kishore, P Ushasri
Published: December 2023

This research paper delves into the intricate relationship between muffler design & acoustic performance, uncovering a symphony of variables that influence transmission loss (TL dB) in muffler systems. This comprehensive analysis explores the impact of inlet diameter, outlet diameter, muffler length, and material choice on noise reduction, presenting a nuanced understanding of their roles in achieving optimal acoustic outcomes. The data reveals that increasing the inlet diameter generally enhances noise reduction, akin to a conductor orchestrating a crescendo of frequencies. This effect is particularly pronounced during the transition from an inlet diameter of 15 to 19, resembling a musical composition reaching a breathtaking climax. Conversely, enlarging the outlet diameter plays a consistent baseline, driving frequencies to higher octaves with unwavering precision.

Muffler length emerges as a significant factor, the longer mufflers consistently exhibit higher TL values, although exceptions exist. Like a subtle harmony in a musical composition, the length of the muffler occasionally introduces its own unique influence. Material choice, akin to soloists in an orchestra, presents its own set of unique characteristics.

In the intricate realm of refrigeration systems, where science and engineering converge, refrigerants take centre stage as the virtuoso performers of the heat transfer ballet. With an artful choreography that rivals any stage production, elegant transition of these refrigerants takes place from gas to liquid and back to gas, all the while embracing and relinquishing heat with finesse. It's a performance that keeps our environments comfortable and our perishables preserved. In this captivating spectacle of thermodynamics, a diverse cast of refrigerants takes the limelight. Hydro-fluorocarbons (HFCs) like R-134a and R-410A perform their roles with precision, offering a symphony of cooling capabilities. Hydro-chlorofluorocarbons (HCFCs), once stalwarts of the industry, exemplified by R-22, now take a humble exit, prompted by environmental concerns, as the show must evolve.
Social Reporting of Islamic Banks in Malaysia: 3 Stages Approach.
Authors: Amirul Haqeem Bin Abd Ghani
Published: December 2023

This study examines the social disclosure by Islamic banks in Malaysia. The study explores the commitment of Islamic banks towards wider stakeholders in 7 dimensions (Shariah/Social Internal/Social External/ Environmental/Shariah Governance/Governance/Ethic) SEGE. The approach taken uses an in-depth 3-Stages content analysis (3-level Score disclosure) of 18 Malaysian Islamic banks’ annual reports for a period of 5 years (2010-2014). This ‘triple method’ was made possible using a special design manual sheet (Quality Score & Volume). The top 5 performing Islamic banks in disclosure quality were dominated by Malaysian Islamic banks. Furthermore, the top 10 performing Islamic banks ranking in disclosure movement from ordinary (index) to quality (3-level score) were much steadier in Malaysia. In addition, religiosity and regulatory quality seem to have influenced SEGE disclosure. In short, the Islamic banks that operate in environments with supportive governing bodies, collaborative institutions, sustainable talent management systems and moderate values tend to perform comparatively better in their SEGE disclosure. This research may draw attention to regulators and non-governmental organisations to produce a set of SEGE disclosure standards for Islamic financial institutions. Furthermore, this research might help managers, Board of Directors, and Shariah Supervisory Boards to have a greater view on the role of Islamic banks in social reporting initiatives. The study fills gaps in Islamic accounting literature by having an in-depth examination of the Malaysian model of Islamic banking.
Performance of Various Wick Materials (Cotton, Jute, Wool, Polyester, Terri Cot) in Inclined Slope Solar Still
Authors: Rupesh Shrivastav, Aneesh Somwanshi, Abhishek Kumar Jain
Published: December 2023

In this work the effect of different wick materials on the distillate output produced by inclined wick solar still has been experimentally investigated. The wick materials considered are cotton cloth, jute cloth, wool cloth, polyester and terrycloth. Wicking properties of materials such as porosity and capillary rise of water has been experimentally determined. Porosity is maximum 27.9% for cotton wick and minimum 18.9% for jute wick. The rise of water (capillary rise) for cotton wick is 120mm/h. The daily distillate output for solar still containing different wick materials have been experimentally determined in the climate of Raipur, Chattisgarh, India. The daily distillate output produced is maximum 4.321L/m2 for cotton wick material and minimum 3.156L/m2 for polyester wick material. The use of cotton wick in solar still is found economical and reliable.
Exploratory Factor Analysis for Professional Development, Technological Skills, Teacher Competence and Self Determined Learning (Sdl)
Authors: Ramas. S., Yasin. R. M., Adnan N. H.
Published: December 2023

Teachers have an important role in 21st-century education as the main agent or facilitators in their teaching approach. Moreover, the teacher's teaching approach is a significant part of the overall effectiveness with regard to the Teaching and Learning (TnL) process. Consequently, this research focuses on the development process as well as instruments validation to measure four constructs, namely Professional Development, Technology Skills, Teacher Competence, and Self-Determined Learning (SDL). The researcher adapted and modified all these items by referring to theories, models and opinions given by experts related to each construct. This newly developed 100-item instrument by assessing its validity and reliability through Exploratory Factor Analysis (EFA) and examining the relationships between constructs as Pearson Correlation. The instrument was given to a sample of 140 primary school teachers. After EFA analysis, 10 items were removed, leaving a total of 90 items. The EFA produced high Kaiser-Meyer Olkin (KMO) values, which were 0.803 for Professional Development, 0.898 for Technology Skills, 0.876 for Teacher Competence, and 0.883 for SDL. The instrument indicated excellent internal consistency, having Cronbach's alpha values for each construct exceeding 0.80, indicating its suitability as a data collection tool. Reliability analysis also showed acceptable consistency with regard to the instrument. Subsequently, the validation process, with a total of 90 items remained as the final items for this instrument. Note that full details of reliability analysis, validation, along with research findings, are described in this paper. The findings of this research will encourage and motivate school teachers to develop their Teaching and Learning (TnL).
A Study On Heritage Tourist Satisfaction In Karnataka
Authors: Dr. Vijay Kumar Dhannur, Mr. Rakesh. H
Published: December 2023

Increased competition in the global tourism industry has forced many countries to adopt various strategies to have edge over their competitors(Pawitra and Tan, 2003).  The success or failure of the industry relies on the tourist satisfaction. Hence, tourist satisfaction takes a pivotal role in the growth the tourism industry. Karnataka is one of well-known heritage tourism destinations in India. Large number of heritage tourists visits the state. The tourism has becoming one of the prime source incomes for the state in recent years. The present study made an attempt to analyse the heritage tourists’ satisfaction in the three UNESCO listed heritage (Hampi, Pattadakal and Beluru) sites. It is found that, both domestic and foreign tourists are satisfied with all the factors except maintenance of natural environment and cleanliness.
Impact Of Shock Waves on Structural and Optical Properties of Li2so4.H2o Doped L-Alanine Single Crystals for High Pressure and Temperature Applications
Authors: M. Silviya, L. Sweatha, M. Anithalakshmi, R. Robert
Published: December 2023

The current study discusses the impact of shock wave of Mach number 1.7 on structural, molecular and optical properties of Li2SO4.H2O doped L-Alanine single crystals. PXRD, Raman spectral results confirm that the test crystal does not undergo any crystallographic phase transitions and conformational transitions against the shock wave. Optical micrographs and UV-Visible analysis communicate the subtle morphological changes and optical properties which is not significantly changed by shock wave. The results of crystallographic studies provide the strong proof that the crystal has molecular stability and a stable crystallographic structure against the impact of applied shock waves and suitable for a wide range of uses in aerospace applications.
Cloud Storage Data Security and Integrity Protection Using Localized and Customized Key Manipulator (LCKM) Algorithm
Authors: Dr. Karthika RN, Santhosh J , Dr. V. Vijaya Chamundeeswari
Published: December 2023

In leveraging cloud storage services for efficient data storage while addressing data integrity concerns. Traditional data integrity auditing schemes necessitate private key usage, relying on hardware tokens and password memorization, which can be problematic if lost or forgotten. In prevailing methods data integrity checking without private key storage and key generation through third-party key distributors used, biometric data like iris scans and fingerprints, linear sketching and signatures are used to verify user data. These methods do not serve the purpose as biometrics has default drawbacks and third-party key generators can also not be trusted. To overcome these challenges, a pioneering approach called the proposed Localized key generator and storage is implemented in our proposed system. This LCKM algorithm generates customized keys for each file in a localized key generator and cloud details. Localized Key Manipulator will be provided to each user which is a password protector and the key customization will done according to the confidentiality, priority, and importance of the file. Customization of keys will be done with various combinations of digits, alphabets, symbols, and different sizes along with details of cloud storage chosen by the user. This localized key manipulator is mobile and carried as a protected file anywhere but only authenticated users can access it. Security and localized data integrity confirm the method’s effectiveness, ensuring robust security and operational efficiency.
Artificial Intelligence: The Backbone of National Security in 21st Century
Authors: Dr. Pramjit Singh, Dr. Partap Singh
Published: December 2023

Artificial Intelligence (AI) is swiftly emerging as a central factor in the realm of national security. This article delves into the current utilization of AI in national security, potential future directions, and the associated obstacles. The investigation explores the interdependent connection between AI and machine learning, the significance of Natural Language Processing (NLP) in intelligence collection, and AI's role in military applications, counterterrorism strategies, and combat tactics. Additionally, the study scrutinizes the conceivable misapplication of AI, underscoring the necessity for robust methods in forecasting, prevention, and mitigation. The paper highlights the critical significance of establishing standards and governance for AI, with a specific focus on the A.I R.M.F. The purpose of this research is to contribute to the scholarly dialogue concerning AI and its implications for national security, offering insights that could inform policymaking, strategic development, and future studies in this rapidly evolving field.
Liver Disease Data Classification Using Hypercube Optimization Search (HOS) Based Multilayer Perceptron (MLP) Model
Authors: Nibin Mathew, Dr. R. Rangaraj,
Published: December 2023

Liver cancer classification assumes an essential part in early detection and treatment planning. In this paper, we propose a Hypercube Optimization Search (HOS) based Multilayer Perceptron (MLP) model for compelling classification of liver cancer. The HOS algorithm is utilized to upgrade the MLP model's boundaries and work on its exhibition. A complete dataset of liver cancer patients is used for preparing and testing the proposed model. The trial results show that the HOS algorithm with MLP model accomplishes superior classification accuracy contrasted with customary methods. The proposed approach shows extraordinary potential in exact and productive liver cancer classification, thereby helping with opportune diagnosis and powerful treatment.
Novel K-Nearest Neighbor With Convolutional Neural Networks (KNN-CNN) For Accurate Brain Tumor Detection In Image Mining
Authors: R. Sasikala, Dr. S. P. Swornambiga
Published: December 2023

Brain tumor classification plays a crucial role in early diagnosis and effective treatment planning. In this paper, we propose a novel approach, K-Nearest Neighbor with Convolutional Neural Networks (KNN-CNN), for accurate brain tumor classification. The proposed method combines the strengths of K-Nearest Neighbor (KNN) and Convolutional Neural Networks (CNNs) to leverage both traditional feature-based classification and deep learning-based feature extraction. We use CNNs to learn high-level features from brain tumor images, and KNN is employed to classify tumors based on the extracted features. The experimental results on a brain tumor dataset demonstrate the effectiveness and efficiency of the KNN-CNN approach, achieving high classification accuracy and outperforming traditional methods.
Optimizing the Application of Hybrid Cryptographic Methods for Secure File Storage and Retrieval
Authors: Chandrakala B M, Latha A P, B. V. Shruti
Published: December 2023

In the modern digital era, the protection of sensitive data from unauthorized access is of utmost importance. A key concern in this regard is secure file storage. To address this issue, hybrid cryptography offers a viable solution by combining the strengths of various encryption techniques in both a vertical and horizontal manner. In hybrid cryptography, the original symmetric key is encrypted with a different symmetric key, while the actual data is encrypted using yet another symmetric key. This approach allows for quick and efficient encryption and decryption of the data, while also providing the added security of multiple encryption methods for authentication. By employing hybrid cryptography, organizations can ensure the secure storage of their critical data, safeguarding it against unauthorized access and potential data breaches.
Digital Signal Processing: From Theory to Practical Applications
Authors: Rajesh Kumar Upadhyay
Published: December 2023

Digital Signal Processing (DSP) is a vital technology that bridges the gap between theoretical principles and practical applications in the digital age. This article explores the core components of DSP, emphasizing its theoretical foundations based on mathematical concepts like Fourier analysis, discrete-time signals, and the Nyquist theorem. It further delves into the practical applications of DSP, showcasing its extensive use in audio processing, image manipulation, telecommunications, biomedical diagnostics, and more. The article also outlines the challenges and future directions for DSP, including its integration with machine learning, quantum signal processing, and the development of efficient hardware solutions. DSP's potential in emerging fields like biological signal processing, data privacy, and sustainability is discussed, reflecting the ever-evolving nature of this technology. In conclusion, DSP is not just a technology but a dynamic force that continually reshapes our world by enhancing the quality of life, advancing science, and addressing global challenges.
Level Set of Direct Product of Intuitionistic Fuzzy BG-ideals in BG-algebra
Authors: R. Rashma, K. R. Sobha
Published: December 2023

In this paper, we investigate some properties of level set of direct product of intuitionistic fuzzy BG-ideals in BG-algebra.
Some Results On Total Onto Minus Edge Dominating Functions In Graphs
Authors: D. Jency Slezer, Dr. Y. S. Irine Sheela
Published: December 2023

Let G = (V, E) be a graph. The total onto minus edge dominating function is a function f: E →    {−1, 0, 1}  such that f is onto and f (N(e)) ≥ 1 for all e ∈  E(G). The total onto minus edge domination number of a graph G is a minimum weight of a set of all total onto minus edge dominating functions of G and it is denoted by .

In this paper we discuss about the total onto minus edge domination     number for some graphs : Star graph, Bistar graph, Friendship graph and Flower graph.
Analysis of Mosque Adolescent Life Skills Program
Authors: Ibdalsyah Risa Arisanti, Imas Kania Rahman, Didinhafidhuddin,
Published: December 2023

Introduction: Life skills education is needed for adolescents to achieve independence as a foundation for becoming adults in facing real life. Support from various education sectors is needed in life skills guidance programs to anticipate adolescent problems, one of which is mosque-based life skills education.

Objectives: This study aims to conduct field studies and analyze mosque guidance programs for adolescents, especially related to life skills material. Data collection was carried out on the mosque adolescent development program implemented, problems faced in the field, and explored the needs of mosques about youth development programs.

Methods: This type of research is field research, using a qualitative approach with descriptive methods. The study was conducted on 5 (five) mosque adolescent organization as research objects, namely Remaja Masjid Sunda Kelapa Mosque Youth (RISKA) Jakarta, YISC Al Azhar Jakarta, Remaja Masjid Bintaro Jaya (Remisya)Tangerang Selatan, Sobat An Nashr (Sonar)Tangerang Selatan, and Remaja Masjid Jogokariyan Yogyakarta.

Results: Based on the results  of the analysis of existing mosque adolescent guidance programs, there has not been found  comprehensive and structured life skills  material, the content  of life skills that have been carried out in mosques in the form of direct organizational practice and social activities. So it is necessary to develop existing mosque adolescent programs, by including life skills materials  that are more structured and comprehensive.
Knowledge Regarding Adolescent Health among Teenage Girls in a View to Develop Information Booklet
Authors: Suresh Ray Shital Bhosale,
Published: December 2023

The WHO considered adolescents people between 10 to 19 years of age. Adolescence is one of the most speedy and formative phases of human life, and the characteristic physical, cognitive, social, emotional and sexual growth is part of the adolescence phase. It required more attention in national growth policies, programs and plans. It is important that adolescents should have adequate knowledge regarding their health. Considering this fact, the current study is being undertaken. The aim of the study is to assess knowledge about adolescent health among the teenage girls with view to develop information booklet. The research approach adopted for the current study was non- experimental descriptive approach. The study was conducted on teenage girls from selected schools of Pune city. Simple random sampling technique was used to select samples (n= 200). A structured questionnaire was used to collect the data from teenage girls which was validated by the experts and reliability was calculated. Formal permission was taken from IEC, BV(DU)CON, Pune to conduct the study and the same was obtained from selected schools under the study. The collected data was processed and analyzed using frequency and distribution method and association was calculated using Fisher test. Majority findings (80.5%) teenage girls were having good knowledge regarding adolescent health. Though majority (80.5%) teenage girls were having good knowledge regarding adolescent health ( reproductive and mental health). Few grey areas are still to highlighted and appropriated education need to be given, these areas were; first menstruation (44.5%), Estragon, androgen and progesterone (46.5%), female sex character (27.0%), sign of puberty (26.5%), late onset of menarche (29.0%), contraceptive pills (20.5%), suicidal thought (84.5%), cause by identify crisis and poor self-esteem (90.0%).
Effectiveness of Information Pamphlet on Knowledge Regarding Myocardial Infarction among Adults
Authors: Anita Nawale Vaibhav Sonawane,
Published: December 2023

Introduction: -cardiovascular disease is the number one cause of death globally. Myocardial Infarction is recognised as the one of the leading causes of death in India.

Aim of study: -To assess the effectiveness of information pamphlet on knowledge regarding myocardial infarction among adults from selected areas of Pune city.

Material and methods: - The quantitative research approach and Quazi experimental with pre-test, post-test control group design was used. 120 samples were selected by non-probability purposive sampling technique. 60 samples inexperimental group and 60 samples in control group.Data collected through structured questionary. Experimental group received information pamphlet regarding Myocardial Infarction.

Results: - Majority of adults (33.33%)experimental group and (73.33%) control group were from 18 to 25 years of age group.Maximum adults (53.33%) experimental group,(55%) control group were female.Among allmajority (35%) experimental group (50%) control group complete higher secondary education.Majority of sample (50%)experimental group and (70%) control group were working.Maximum (76.67%) experimental group and (98.33%) control group did not have any family history of heart ailment/disease/illness. Majority of adult samples (36.67%)experimental group and (70%) control group did not aware about MyocardialInfarction.Effectiveness of information pamphlets on knowledge regarding Myocardial Infarction among adults in experimental group is analysed by paired t-test the value of t calculated is 20.68. The p value is <0.0001. So, result is significant at p<0.05 level of significance. Hence, Information pamphlet are effective in improving the knowledge level regarding Myocardial Infarction. There was no association between knowledge before administration of information pamphlet and selected demographic variables.Conclusion: -The study concluded that there is improvement in level of knowledge regarding Myocardial Infarction among adults and information pamphlet is effective in terms of gaining knowledge.
A Study On The Relationship Between Financial Innovation And Bank Sustainability- A Case Study Of State Bank Of India
Authors: Dr. Devangana Saikia, Dr. S. Kumar
Published: December 2023

This study looks at the various forms of financial innovations that have continuously taken place in the provision of financial products /services in India over a period of 5 years. Over a period of time, India has experienced continued growth in the adoption of various non-cash modes of payment hence the need for continuous studies to establish the effect of these financial innovations in the financial services sector. Previously banks were interested only in the economic impacts of the banks but banks are now conscious of the environmental and social impact of their policies as it might affect the quality of assets and also rate of return of banks in the long run. The objective of this study was to establish the effect of financial innovation on bank sustainability. The present study is descriptive as well as analytical in nature. The State Bank of India has been selected for study deliberately being the largest commercial banks in India having wide coverage spreading throughout the country. The data, for the purpose of study, were collected from the annual reports of SBI, Bank Sustainability Report of SBI, journals and other relevant published documents. The study was conducted for a period of 5 years, from 2015-16 to 2019-2020. The analysis of data leads to the conclusion that financial innovation has increased over the period of time. However financial innovation has less impact on bank sustainability in Indian banking sector.
Intuitionistic Fuzzy Magnified Translation of Intuitionistic Weak Fuzzy d-Ideals of d-Subalgebra
Authors: R. G. Keerthana , K. R. Sobha
Published: December 2023

In this paper, we discuss intuitionistic fuzzy magnified translation of intuitionistic weak fuzzy d-ideals of d-subalgebra. Here we also investigate about some of its properties in detail by using the concepts of intuitionistic weak fuzzy d-ideal.
A Study on Problems Faced by Working Women in Banking Sector in Radhapuram Taluk
Authors: A. Esther, Dr. V. Anandha Valli
Published: December 2023

The banking sector is the backbone of the economic development of any country, and working women form an important part of the society and play an important role in the smooth functioning of the banking sector. Our focus in this research is on the problems of women working in the banking sector. This study is based on primary and secondary data. This study is based on primary and secondary data. The sample size was determined to be 110 women working in the banking sector in Radhapuram Taluk. The main focus of this research is the problems faced by women working in the banking sector. The main findings of this study are that sexual harassment and stress are the main problems of women working in the banking sector.
Effective Plate Object Segmentation and Recognition by Implementing Artificial Intelligent Model for Smart Transportation Systems.
Authors: Mr. Mehul T. Patel, Dr. Ashishkumar Parejiya
Published: December 2023

The increase in the number of vehicles in the last few years has made it challenging to manually note the number plate text of the vehicle. Hence, in order to reduce the manual work, there is a need to propose a methodology that can detect the number plate region from the input image and recognize the characters of the number plate. Systems have been built for the same using Image Processing techniques, but this technique fails to provide accurate results occasionally in the case of real data. Modern technology such as Deep Learning overcomes this problem. Hence, a deep learning-based methodology is proposed to detect the number plate region from the input image and recognize its characters. Using the pre-trained based deep learning Networks. the number plate region is detected and using Convolutional Neural Networks (CNN), the characters are recognized from the detected plate region. The system also stores the number plate text with its state name into the database to maintain a record of number plates detected. The proposed system provides promising results. The model is judged against other models that are already out there, such as ResNet50, DenseNet, and DenseCapsNet. According to these studies, MobileNet has reached a level of accuracy of 98.69%, which is higher than other algorithms that are thought to be cutting-edge.
Federated Machine Learning Using The Internet Of Medical Things For Cardiac Disease Detection
Authors: Shahazad Niwazi Qurashi, Farrukh Sobia
Published: December 2023

The proliferation of medical data sourced from healthcare organizations has led to an increased utilization of Machine Learning (ML) methodologies within the medical domain. In order to uphold the effectiveness of healthcare professionals, it is imperative to design machine learning models that are dependable and credible. Machine learning (ML) models are widely employed in the field of healthcare to generate accurate disease predictions, while simultaneously ensuring the protection of data gathered via Internet of Medical Things (IoMT) devices. Federated Learning (FL) techniques are well-suited for the preservation of Internet of Medical Things (IoMT) data due to their ability to preserve only the trained models and advance with information from distributed users. Fluorescence techniques possess the potential to significantly revolutionize the medical business by enabling rapid disease diagnosis, hence improving the effectiveness of therapy. The efficacy of these FL approaches is diminished as a result of the substantial volume of data being transmitted between local and remote locations. To address this concern, a unique methodology called FedEDFA is introduced, which integrates Federated Machine Learning with a meta-heuristic optimization algorithm. The utilization of the Enhanced Dragonfly Optimization algorithm is employed to effectively choose the pertinent features and thereafter utilize them for disease prediction. This strategy enhances the system's resilience in networking situations that are prone to insecurity. The efficacy of the proposed FedEDFA is evaluated by its application to the UCI Cleveland dataset, with the objective of predicting cardiovascular illness while ensuring data security and privacy. The proposed approach demonstrates a greater level of accuracy, measuring at 98.3%, when compared to other existing methods.
A Holistic Perspective: Investigating the Links between Workplace Spirituality, Organizational Commitment, and Well-Being among Higher Education Professionals
Authors: Kirti Malik, Prof. Shweta Singh
Published: December 2023

This comprehensive review paper investigates the intricate relationships among workplace spirituality, organizational commitment, and well-being in the distinctive context of higher education institutions. With the overarching goal of cultivating a supportive and spiritually nurturing workplace environment, this study rigorously explores the presence and impact of spiritual support practices in higher education. Employing a systematic research methodology, 25 pertinent articles were meticulously selected from an initial pool of 130 publications, sourced from platforms such as “Google Scholar,” “Scopus,” “Web of Science,” and “Research Gate.” The discussion section critically examines the interplay between workplace spirituality and organizational commitment, underscoring the crucial distinction between organizational and personal spirituality. It further delves into the implications of workplace spirituality on the well-being of higher education professionals, particularly in light of the evolving challenges and opportunities within academia. Notably, the COVID-19 pandemic is acknowledged as a transformative force that has highlighted the pivotal role of academic staff in distinguishing educational institutions. In conclusion, this review paper accentuates the transformative potential of workplace spirituality within the competitive academic landscape. It posits that workplace spirituality engenders positive outcomes for individuals, groups, and organizations, playing a pivotal role in enhancing overall effectiveness. The paper underscores the imperative for higher education institutions to nurture agile and motivated teaching staff, prioritizing their well-being and professional growth. By integrating spirituality into the academic milieu, institutions can foster healthier workspaces, attract and retain top-tier talent, and contribute significantly to the holistic development of their faculty members. In summary, this review paper offers a holistic perspective on optimizing the academic work environment by exploring the complex dynamics of workplace spirituality, organizational commitment, and well-being within higher education institutions.
A High-Capacity Interleaved Parallel Full-Bridge LLC Converter for External Charging Applications
Authors: K Rajasekhar Kada Sudheer,
Published: December 2023

This paper explores innovative converter designs tailored to meet the evolving demands of modern electric vehicle (EV) charging and power conversion systems. The first investigation centres on an AC to DC converter featuring an input series inductor and an output capacitor, enhancing power factor correction, reducing harmonics, and optimizing voltage regulation through advanced simulation tools. Comparative analysis highlights its superior power factor maintenance and efficiency. The second proposal introduces an interleaved parallel LLC (Inductor-Inductor-Capacitor) DC/DC converter, incorporating hybrid pulse frequency modulation (PFM) and pulse width modulation (PWM) control. This design extends the adjustable output voltage range, ensuring precise voltage control. A meticulous analysis and parametric design demonstrate an output voltage range of 50–80 V and a maximum power of 20 kW through simulation results. These innovations hold promise for various applications, including renewable energy, electronic device power supplies, and EV charging, offering practical solutions to enhance energy efficiency and power quality across modern electrical systems and EV infrastructure.
Breast Cancer Mammography Classification Using Convolutional Neural Networks and WOA-MPA Optimization
Authors: Pavithra M, A N Vinodhini A.Devendhiran, Saradha S, Gowrishankar Jayaraman,
Published: December 2023

Breast cancer analysis is crucial for female well-being and mortality statistics. Digital mammograms improve accuracy and survival rates. This study introduces a deep-learning algorithm-based training approach for automated breast cancer identification at early stages, enhancing edge detail and reducing false positives.The proposed methodology involves the integration of a Convolutional Neural Network (CNN) with an optimization strategy to establish a classification model for the diagnosis of breast cancer. The current study utilized a hybrid approach involving the Marine Predators Algorithm (MPA) and the Whale Optimization Algorithm (WOA) to determine the well-suitable hyperparameter values for the CNN framework. The proposed approach employs Inception v3, a previously trained convolutional neural network model, and DenseNet. MPA-WOA with Inception v3 and MPA-WOA with DenseNet are two instances of architectu              res that integrate this paradigm with the MPA-WOA algorithm. By conducting a comparative evaluation of the attainment of two hybrid models, this study has established that the MPA-WOA with DenseNet has demonstrated an exactness rate of 94% and 95% for the CBIS-DDSM and MIAS datasets, respectively.
Calculation of the Mean and Variance in the Birth-Death Immigration processes for M\M\1 Queueing Model
Authors: A.Sridhar H. Saddam Hussain,
Published: December 2023

This paper, delineates how catastrophe affect the Birth-Death and Immigration Process (BDI). To find the general solution for the population size distribution, the Probability Generating Function (PGF) is used. When the rates of birth, death, immigration, and catastrophe are remain's constant, the accurate solution of mean and variance is also obtained. In addition, the mean and variance are time dependent. The system's behavior, a numerical example is presented for investigated.
Heat and Mass Transfer on 3D MHD Flow of Casson Nanofluid in Presence of Arrhenius Activation Energy
Authors: Maddileti Pasupula Motamari Madhu,
Published: December 2023

This work studied the influence of heat and mass transfer on the convective nanofluid motion of Casson nanofluid via linear stretched sheet. The main aim to analyse the characteristics of heat and mass transfer in Casson liquid under convective condition with effects of thermal radiation, heat generation and Arrhenius activation energy. We utilize some suitable similarity transformations to translate the governing PDEs and the initial boundary conditions of present model into a couple of nonlinear ODEs. We applied shooting procedure to solve the set of highly nonlinear ODEs numerically and calculate numerical results are related with those gained by the help of MATLAB bvp4c solver. The effect of prominent parameters of interest such as activation parameter, Lewis number, Thermophoresis parameter, Brownian motion parameter, thermal radiation, magnetic parameter, on velocity, temperature and heat and mass transfer is also encompassed. the numerical values obtained for defined through graphs and tables. The validation of present numerical work compared to previous work.
The Urban Tapestry: Unraveling Cultural Threads in Real Estate Choices in Gurgaon, Haryana, India - A Literature Review
Authors: Y Soma Shekhar Patro Ratan Kumar Patra ,
Published: December 2023

In the intricate weave of urban development, the tapestry of culture plays an instrumental role in influencing real estate buying behaviors. This review paper delves into the complex relationship between cultural factors and real estate choices in the burgeoning city of Gurgaon, Haryana, India. Drawing upon an extensive examination of literature, surveys, and empirical studies, this paper seeks to shed light on how deep-seated cultural values, beliefs, and traditions influence the preferences and decisions of consumers in the Gurgaon real estate market. From the significance of Vastu Shastra in architectural designs to the socio-cultural implications of neighborhood choices, this study underscores the undeniable impact of cultural threads on the city's real estate tapestry. As Gurgaon emerges as a global metropolis, understanding these cultural nuances not only enhances our comprehension of its residents' preferences but also provides insights for developers, policymakers, and urban planners to weave a cityscape that resonates with its people's cultural fabric.