bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Noval Approach on Picture Fuzzy Graceful Labeling in Fluid flows
Authors: N. Sujatha  
Published: December 2023

Graph labeling is one of the best network models in the study of fluid dynamics in the flow of particles. But the said labeling is not provided the better results to represent in any of network model having neutral membership degree in case of ambiguity. To overcome the above mentioned problem ,Picture fuzzy graph labeling is playing a major role in the framing of network model in fluid dynamics in case of neutrality degree which have been represented by a picture fuzzy graph.
In this paper, the researcher have shown picture fuzzy graph labeling on star graph which is used to represent the flow of particles in fluid dynamics. Also they have extended the concepts towards the existence of picture fuzzy graceful labeling and picture fuzzy ant magic labeling in fuzzy star graph which will be helpful to analyze the properties of flow of particles in the fluid flow.
Understanding The Mechanisms Of Catalytic Reactions On K10 Clay: A Comprehensive Study
Authors: Anjali Dhiman, Gurmeet Kaur  
Published: December 2023

This systematic review delves into the mechanisms of catalytic reactions on K10 clay, synthesizing a wealth of experimental and computational insights to offer a comprehensive understanding. The catalytic versatility of K10 clay is dissected across diverse reactions, including esterification, aldol condensation, methane activation, biomass conversion, redox reactions, ester hydrolysis, and tandem reactions. Thematic analysis unravels the broad spectrum of applications for K10 clay, emphasizing the need for a nuanced understanding of reaction-specific mechanisms.
A critical comparative analysis of experimental and computational approaches showcases their complementary roles in unraveling the intricacies of K10 clay catalysis. The quality assessment process underscores the methodological rigor of individual studies, guiding the interpretation of findings. Practical implications for environmental remediation, fine chemical synthesis, and industrial processes are discussed, accompanied by identified gaps that delineate future research directions.
This systematic review not only advances the understanding of catalytic reactions on K10 clay but also serves as a template for future explorations in the dynamic realm of catalytic materials. With a foundation built on rigorous analysis and thoughtful integration of diverse findings, this review aims to inspire continued innovation and investigation in the field of catalysis research.
Effect of Chemical reaction on hyperbolic tangent Williamson-Nanofluid flow past an exponentially porous stretching sheet: MHD and slip effects
Authors: R. S. DurgaRao, R. Vijayakumar, V. Vasudeva Murthy  
Published: December 2023

In this research investigation, Runge-Kutta method solutions of dual-dimensional, steady, viscous, incompressible, chemically reacting, electrically conducting, hyperbolic tangent Williamson- flow of nanofluid past a uni-directional an while a magnetic field is present and several slip effects, an exponentially stretched sheet packed with porous material is studied numerically. Thermal radiation, Chemical reaction, the flow regulatingequations of boundary layer incorporates the impacts of thermophoresis and Brownian motion.SuitableTransformations of similarity are employed. for the main differential equations in partial to become differential equations inordinary that are nonlinear. The resultant governing equations are resolved by the application of a well utilized method in numericallycalled as the Runge-Kutta method and the shooting technique.Figures and numerical tables are used to show the representation of certain physical parameters on the flow model.. The pace of convergence for nonlinear differential systems is astonishing, according to an excellent comparison with the body of existing research, which also confirms a high degree of correctness. These tests are pertinent to the fields of plastic films, crystal growth, paper manufacture, and metal sheet cooling.
A Comprehensive Investigation into the Material Removal Capability of Powder Mixed Wire Electric Discharge Machining
Authors: Prajapati Niravkumar Jayantibhai, Dr. Bharat Khatri  
Published: December 2023

The powder mixed electric discharge machining (PMEDM) has demonstrated promising results in the machining of difficult-to-cut materials including metal matrix composites (MMCs). Adding powder particles to the dielectric fluid used in electric discharge machining (EDM) improves material removal rate (MRR) and surface quality of the machined item. This study presents a thorough overview of research works on PMEDM for the machining of MMCs, concentrating on the impacts of different process parameters on the MRR and surface quality, such as powder concentration, pulse on-time, and Pulse off-time. The study also notes the process's obstacles and limits, as well as opportunities for further research.
Previous research has shown that PMEDM can greatly increase the MRR and surface quality of machined MMCs when compared to regular EDM. The addition of powder particles to the dielectric fluid has been found to improve machining zone cleansing and cooling, decreasing tool wear and enhancing machining precision.
In Vitro Evaluation of Antidiabetic Activity of Stem Extracts of Oroxylum Indicum
Authors: Mital Manvar Falgun Dhabaliya, 
Published: December 2023

Background: It is estimated 180 million people in the world have diabetes mellitus. The ethnobotanical information reports about 1000 plants that may possess antidiabetic activity. Roots, leaves, seeds, fruits and stems of Oroxylum indicum have been used as a single drug or as a component of certain compound drug preparations in the Indian Ayurvedic system of medicine.,
Aim: The current study designed In vitro evaluation of antidiabetic activity of aqueous and methanolic stem extracts of Oroxylum indicum.
Materials & Methods: About 100, 200, 300, 400, 500 μg concentrations of acarbose, aqueous, and ethanolic stem extracts of O. indicum were used for the study. The absorbance values were taken in spectrophotometer at 540 nm and 546 nm for α-amylase and α-glucosidase enzyme, respectively.
Results: Dose-dependent % inhibition of α-amylase and α-glucosidase enzymes are observed with the both extracts. However, compare with aqueous extract, methanolic extract shows more % inhibition.
Conclusion: In this study, aqueous and methanolic stem extracts of O. indicum showed the in vitro antidiabetic activity.
Fixed Point Theorems in Fuzzy 2 – Banach Space Using CLR Property and Implicit Relation
Authors: S.N. Leena Nelson S. Princiya, 
Published: December 2023

The purpose of this paper is to obtain common fixed point theorems for weakly compatible mappings satisfying the Common Limit Range property using implicit relation in Fuzzy 2 – Banach Space. This Property plays a major role in fixed point theorems and by using this property we can obtain fixed points in Fuzzy 2-Banach Space.
Abused Children: Psychotherapist from behind the Screen: The Case Study of Incest in the Arab Sector in Israel
Authors: Aysin Sinal Yasmine Yehia, 
Published: December 2023

We know that child sexual abuse (CSA) and incest does not occur in isolation, but often in conjunction with emotional and physical abuse, neglect, and domestic violence within the family (Tener, et al., 2021). The more types of child maltreatment experienced, the greater the negative impact on abused children mental health. The family situation greatly affects the mother's ability to respond positively toward the disclosure of CSA. A recent cluster analysis of 35 psychotherapists from behind the screen in Israel in dealing with incest in the Arab sector has been discussed in this study. This study used a qualitative methodology based on interviews with 35 psychotherapists who work from behind the screen with sexually abused children based on the case study of incest in the Arab region. Interviews were utilized to gather qualitative information regarding the abuse in the Arab sector in Israel. These abused Arab youngsters had undergone counselling and psychological treatment before the interviews. The last themes that emerged were: characteristics of the therapist that support behind the screen therapeutic connection, narrative therapy, turning points, and counsel for therapists working with abused children in the Arab sector in Israel. The factor that affected the participants the most was confidence in the therapeutic alliance based on precise boundaries between the therapist and the abused child presented themes offered helpful therapeutic ideas and tactics that aided in speeding up the healing process.
Artificial Intelligences (AI) In Education
Authors: Dr. N. A. Arshiya Afrin  
Published: December 2023

In this study, the researcher mainly focuses on how artificial intelligence (AI) has fused in the education system, How the learners and educators are using it in appropriate way. The main objective of this study is to understand the level of awareness and impact of AI in the education field. The statistical tools used for this study is Factorial ANOVA. In this study, the researcher highlights on various factors (knowledge level and year of experience) helps in determining level of awareness. Similarly, (implication of AI and Usage of AI) helps in determining level of impact. This study is based on both primary and secondary sources of data. Primary data is acquired through conducting interviews to the users of AI, and by circulating questionnaires to AI users. Whereas, secondary data is compiled with the help of many research journals, articles, and books. sample size of 25 is considered for measuring the replies from the selected respondents Some of the important findings of this paper by applying statistical tools can be concluded as the overall level of awareness is fairly higher and good, which shows learners has a good awareness level about AI in the education field along with that it is analyzed that the execution of AI technology in the education field will positively impact the overall effect of AI technology.
Steiner Distance Related Parameters of Wheel graphs
Authors: V. Sheeba Agnes T.L. AbilaTheres , 
Published: December 2023

For a connected graph of order at least and the Steiner distance among the vertices of is the minimum size among all the connected subgraphs whose vertex sets contain In this paper, we calculate the Steiner distance parameters such as Steiner degree distance, Steiner Gutman index, Steiner Harary index and Steiner reciprocal degree distance of a wheel graphs.
Augmentation of Digital Financial Services in the Pandemic: A Micro Level Study in Delhi
Authors: Bathula Srinivasu Ankita Gupta, 
Published: December 2023

Pandemic has provided impetus to the use of digital financial services during the pandemic. At the same time, the role of digital financial services in financial management and health protection during the crisis is an important challenge. Against this backdrop, the paper analyses the impact of the pandemic on the adoption and use of digital financial services and the perception of government and private employees regarding role of digital financial services during COVID-19. The paper exhibits that majority of the respondents had an access to digital financial services before the pandemic itself. But interestingly, there has been an upward mobility in the use of digital financial services during the pandemic. An individual being a female, educated and a government employee increases the probability of increase in the use of digital financial services while age has a non-negative relationship with the increase in the use of digital financial services. However, COVID-19 has still been unable to close the digital loop since the use of digital mode for merchant payments still remains restricted among respondents, more particularly among women. The use of digital financial services led to the health protection more than the financial management during the pandemic. Male and the general category could experience better financial management as a result of the use of digital financial services during the pandemic than females and other social classes respectively. Also, the younger individuals could better protect their health due to the use of digital financial services than elderly. Poor network connectivity, high risk, low awareness, digital illiteracy and lack of trust are significant challenges that have been identified during the pandemic.
Cultural Practices and its impact on Educated Women: A Study on Nemuguri Village of Sivasagar
Authors: Happy Saikia  
Published: December 2023

Culture is the whole complex of distinctive spiritual, material, intellectual and emotional features that characterize a society or a social group. It includes modes of life, the fundamental rights of the human being, value systems, traditions and beliefs. In 21st century women’s are going very high, where women’s are able to rule the country, and do the military assignments etc. At the same time many educated women are not able to enjoy their rights due to some of the practices or belief systems of a society. Even the educated women in many areas are socially discriminated and suppressed with great consequences on their individual futures and that of the society. The present study provides an insight view about influence of culture and belief system of a society on women’s right of educated women. The present study adopted descriptive survey research design. The population of the study comprise all the educated women of Nemugri village. The sample consisted of 25 educated women from the Nemuguri village. The researcher used a self- developed questionnaire to gather data. The collected data were analyzed by using simple statistical technique i.e., master table. Major findings of the present study revealed that culture and traditional belief of a society has major impact on women’s right. Some of the socio -cultural practices militating against educated women and it creates women rights violation in many extents. Some of the recommendation made in the present study are women should be sensitized for ones right. There is need to create awareness among the people.
Empowering Child PTSD with Academic and Emotional Resilience
Authors: Dr. Tibi Thomas R.S, Dr. D. Radharamanan Pillai  
Published: December 2023

This research paper seeks to examine the potential influence of Suggestopedia as a therapeutic intervention on the academic achievement of students diagnosed with Post-Traumatic Stress Disorder (PTSD). Suggestopedia, a pedagogical technique crafted to augment learning through relaxation and suggestion, is posited to mitigate the adverse impact of PTSD on learning and cognitive abilities. The study will utilize a mixed-methods methodology, encompassing quantitative assessments of academic performance and qualitative interviews, to thoroughly investigate the impact of Suggestopedia on students grappling with PTSD.
QFD-Driven Rotational Moulding Optimization and Quality Control to Reduce Defects and Increase Efficiency in LLDPE Fuel Tank Production
Authors: Rachayya Arakerimath, Vilas Umbare  
Published: December 2023

The present study utilized a House of Quality (HoQ) methodology to develop a fuel tank manufactured using the rotational moulding process, employing LLDPE material. In order to methodically tackle this issue, three House of Quality (HoQ) charts were created, outlining consumer demands, functional necessities, and production control parameters. The results of the study emphasize the critical significance of identifying and adapting essential customer requirements, functional prerequisites, and production control parameters throughout the design and production phases of rotational moulded fuel tanks. The inquiry findings emphasized that the major customer requirements were on the provision of a fuel tank that possesses qualities of strength, longevity, reliability, and cost-effectiveness, while also ensuring a prolonged lifespan and an aesthetically pleasing external appearance. Furthermore, it was determined that the material qualities and tank design are the most crucial functional requirements. In addition, the precise regulation of oven temperature and the automation of the moulding process have been identified as crucial control criteria in guaranteeing the quality and functionality of the fuel tanks.
Customer Segmentation using Machine Learning Techniques
Authors: Aazmaan Ahmed Khan R. Amutha, 
Published: December 2023

The objective of this customer segmentation endeavor is to utilize machine learning methodologies, Python programming, and the Streamlit framework in order to deliver individualized suggestions pertaining to savings plans, loans, and strategies for wealth management. Through the division of customers according to their demographic data, purchase patterns, and online navigation tendencies, this initiative empowers financial establishments to gain deeper insights into their customer demographics and customize their services to cater to specific requirements.
The project involves several stages, including data collection, data preprocessing, feature selection, model training, and evaluation. The acquired customer data is refined to resolve any inconsistencies or missing information. Important characteristics are identified, and an exploratory analysis of the data is conducted to uncover hidden patterns and relationships. We then select an appropriate machine learning algorithm, such as K-means clustering, hierarchical clustering, or Gaussian Mixture Models, to categorize the customer base into distinct clusters.
After the completion of model training and assessment, a Streamlit-based web application is constructed, offering an interactive platform for users. This application permits users to input their particulars and obtain tailored suggestions grounded in their designated segment. The suggestions encompass fitting savings schemes, loan alternatives, and wealth management approaches that harmonize with their financial objectives and risk appetite.
The deployed application facilitates a seamless user experience, providing real-time recommendations and insights. Continuous improvement of the model and application is encouraged through user feedback, allowing for refinement and better customization of recommendations over time.
Generalized -Revrse Derivations in non ideal on Prime Rings
Authors: G.Ramachandrudu K. Subbarayudu  ,   A.Sivakameshwara Kumar  , 
Published: December 2023

Let be a prime ring, be a non-zero ideal on , and be a automorphisms of . Suppose that is a generalized -reverse derivation on associated with -reverse derivation on respectively and . In this paper, we studied the following identities in prime rings: (i) ; (ii) ; (iii) ; (iv) ; (v) ; (vi) ; (vii) ; (viii) ; (ix) ; (x) ; for all in some suitable sub sets of .
Real Time Voltage Stability Estimation under Contingencies by Generalized Curve Fit Method using PMU
Authors: Surya Bhushan Dubey, Pankaj Sahu Padmesh Singh, Awadhesh Kumar, 
Published: December 2023

An accurate voltage stability monitoring scheme is necessary to take possible remedial action. Recent developments in Phasor Measurement Units (PMUs) technology provide the foundation for online voltage stability monitoring of a power system network. In this paper, the generalized curve fit method using PMUs in the system has been used to access voltage stability of the system and a sensitivity based approach has been used to identify critical buses of the system. Voltage stability margin has been obtained and compared using generalized curve fit method and continuation power flow method using PMUs in the system. Variations in voltage stability margin caused by changing load patterns have also been considered while estimating voltage stability under contingencies. Nose curves obtained using generalized curve fit and continuation power flow methods are also compared. Case studies have been performed on a standard IEEE 14-bus system and practical 246-bus Northern Regional Power Grid (NRPG) system representing power network of nine states of India, with the help of Real Time Digital Simulation (RTDS) and Power System Analysis Toolbox (PSAT) software.
Enhancing Collaborative Governance through IT for Specialized Job Market Programs in Banten Province's Vocational High Schools
Authors: Muhamad Juwayni, Kamal Alamsyah, Iwan Satibi  
Published: December 2023

INTRODUCTION: Several facts on the ground show that the implementation of Collaborative governance in the Special Job Exchange Program in Banten Province has not been effective. So, it is necessary to analyze and look for the formulation of the ideal Collaborative governance model that can optimize the implementation of the Special Job Exchange policy program in Banten Province.
OBJECTIVE: This study aims to determine the concept of collaborative governance and formulate an ideal collaborative governance model in the BKK SMK policy program in Banten Province.
METHOD: This study used a qualitative approach with descriptive analysis. To produce an effective collaborative governance model in the SMK BKK Program in Banten Province, researchers used the Soft System Methodology (SSM) method.
RESULT: Collaborative governance in the SMK Special Job Exchange Program in Banten Province has not been implemented effectively. Factors in the implementation of collaborative governance in the Vocational High School Special Job Exchange Program in Banten Province are system context, drivers, collaboration dynamics, collaboration action, collaborative outcomes and adaptation factors that have not been optimal. The ideal model to be applied in collaborative governance in the Vocational High School Special Job Exchange Program in Banten Province is a model that involves the five elements of collaboration with equal roles, as well as strengthening in the dissemination of collaboration regulations that govern the roles of each collaboration stakeholder namely government, industry, society, academia, mass media, and legislative.
CONCLUSION: The government must immediately formulate a concept for elemental participation in the BKK SMK program, and is advised to encourage and maximize the use of IT and the participation of all stakeholders involved in the BKK SMK program in Banten Province.
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.