bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Randomized Clinical Trial Comparing the Effect of Yoga and Thai Massage among Garment Industry Population with Non-Specific Low Back Pain
Authors: Savithri Nilkantham, Tosendra Dwivedi Keshavamurthy, Amit Singh, Vitsarut Buttagat, Divya B. R, 
Published: December 2023

Background: Low back pain has an enormous societal and economic impact on the working-age population, and a large number of women are affected due to sedentary work environment. Treatment is often delayed as the symptoms are initially unclear and with progressive age, healthy ageing is compromised. Hence the study investigates the effects of the Integrated Approach of Yoga Therapy (IAYT) and Thai Massage (TM) on Non-Specific Low Back Pain (NSLBP).
Method: We randomly allocated a total of 52 women employees from an Indian Garment Industry located in South Bangalore, into the IAYT group (n = 26, age 35.46 ± 7.78), and TM group (n = 26, age 34.23 ± 6.67). For the IAYT group, a yoga therapy module for 45 minutes for 5 days a week for 12 weeks was administered and for the TM group, a set of self-stretching exercises combined with Thai self-massage using a back massage stick for the same duration was administered. The assessment was done at baseline and after 12 weeks for both groups on the clinical parameters, back disability, depression, anxiety, stress, pain intensity, and biofield energies using Electro Photonic Imaging (EPI).
Results: Statistical analysis was performed using Statistical Package for the Social Sciences, version 20.0 for Windows (SPSS Inc., Chicago, IL, USA). For within-group analysis, the Wilcoxon signed-rank test was used and for between-group analysis, Mann-Whitney U test was used. The IAYT group showed reduced back disability, and pain intensity at (75.24% and 66.92%) respectively, comparatively better than TM at (65.32% and 62.73%) respectively. The IAYT group showed a better improvement in depression, anxiety, and stress at (75.44%, 64.48%, and 63.35%) respectively as compared to the TM group at (55.75%, 57.03%, and 52.31%) respectively with P<0.001. Further, the IAYT group has shown considerable improvement in weight, waist-hip ratio, BMI, respiratory rate and pulse rate at (1.88%, 3.68%, 2.23%, 12.32%, and 4.06%) respectively as compared to TM group at (1.7%, 2.19%, 1.92%, 3.61% and, 1.67%) respectively with P<0.05. In the scores of EPI, the IAYT group demonstrated significant improvement in stress and lumbar spine energy area levels at (13.96%, and 44.02%) respectively as compared to the TM group at (5.42%, and 7.16%) respectively with P<0.05.
Conclusions: IAYT seems to work more effectively for nonspecific low back pain than TM for female garment employees.
Arvind Adiga’s Novel Contribution for Hovering Multifarious Fraudulation In India
Authors: Sukhdev Singh Md. Yaqub Alam, 
Published: December 2023

The paper presents an analytical analysis on how "Arvind Adiga's novels" address the prevalent issue of widespread fraudulence in India, the suffering experienced by impoverished individuals, and the pressing matter of atrocities committed against the underprivileged. The artist's attention is directed towards his skill in addressing intricate and pressing themes, imbuing his narratives with vividness that captivates readers and engrosses them in his prose.
Biogenic Copper Nanoparticles from Combined leaf extracts of Catharanthus roseus (L.) and Abutilon Indicum(L.) and their biological effects – an In vitro study
Authors: L. Krishnasamy, C. Shanmuga Sundaram, R. Banupriya  
Published: December 2023

Plant-based (Green) synthesis of Copper nanoparticles is of much interest to researchers currently because of its important applications in various fields of biotechnology. In this study, the production of copper nanoparticles (CuNPs) utilizing an ethanolic extract of Catharanthus roseus (L.) and Abutilon indicum (L.) leaves extract (CALE) and assess the therapeutical use of these nanoparticles. Preliminary phytochemical analysis was done by using this ethanolic crude extract of the combined plant. The phytochemical tests showed positive results for the phytochemicals alkaloids, phenols, tannins, terpenoids, and phytosterols. The leaf extract was used for the synthesis of copper nanoparticles and in the reduction and capping of the combined leaf extract CuNPs, it was discovered that the bioactive phytoconstituents condensed tannins, played a crucial role by the reduction of copper ions was identified by the change in color from blue to light green. SEM image showed the morphology and size of the nanoparticles and their binding ability with the combined leaf extracts. The spherical biogenic combined leaf extracts of CuNP’s were measured to have a size between 5 and 25 nm by Scanning Electron Microscopy (SEM) examination, Ultraviolet-Visible spectroscopy (UV-Vis) showed maximum wavelength at 224nm and XRD showed three strong peaks for its crystallinity and maximum was observed at 2063.0. From their characterization of synthesized CuNPs anti-microbial and anti-inflammatory methods were assessed. The samples showed different diameters of zone of inhibition at different concentrations by using Ampicillin as positive control. The synthesized nanoparticles showed a concentration-dependent anti-inflammatory activity, and the protection percentage increased with an increase in the concentration of the samples.
Experimental Investigation of the Effect of Microsilica on the Uniaxial Compressive Strength and Rupture Strain of Fine Sand
Authors: Alireza Abbasnejad, Ata Rezaei fard  
Published: December 2023

In many areas, natural soil does not have necessary resistance, some additives such as cement and microsilica are added to increase their resistance. In this research, the effect of microsilica on the strength and physical characteristics of fine sand stabilized with cement in sand samples containing cement and microsilica will be discussed. For this purpose, samples of fine sand with three different ratios of cement (2, 4, and 6 percent of soil weight) and four different ratios of microsilica (0, 0.5, 1, and 1.5 percent of soil weight) were mixed with optimal moisture, after Two curing periods of 1 and 7 days were subjected to compression and uniaxial compressive strength tests. The results of the experiments indicate that with the increase in the amount of cement and microsilica, the optimum moisture content in the density increases, the specific weight of the mixture of sand, cement and microsilica increases by adding these materials up to a certain amount, but after that it begins to decrease. . With increasing processing time, uniaxial compressive strength and rupture strain both increase. With a curing time of 1 day, for a fixed cement ratio, the compressive strength of sand-cement increases with the increase of microsilica up to about 20% of the cement weight, but after that, the resistance ratio decreases.
With a curing time of 7 days for a constant cement ratio, the compressive strength increases with the increase of microsilica. It is also observed that in both curing times for different cement ratios, with the increase in the amount of microsilica, the relative deformation of the fracture increases.
Biogenic Copper Nanoparticles from combined leaf extracts of Catharanthus roseus (L.) and Abutilon indicum(L.) and their biological effects – an In vitro study
Authors: C. Shanmuga Sundaram, R. Banupriya L. Krishnasamy, 
Published: December 2023

Plant-based (Green) synthesis of Copper nanoparticles is of much interest to researchers currently because of its important applications in various fields of biotechnology. In this study, the production of copper nanoparticles (CuNPs) utilizing an ethanolic extract of Catharanthus roseus (L.) and Abutilon indicum (L.) leaves extract (CALE) and assess the therapeutical use of these nanoparticles. Preliminary phytochemical analysis was done by using this ethanolic crude extract of the combined plant. The phytochemical tests showed positive results for the phytochemicals alkaloids, phenols, tannins, terpenoids, and phytosterols. The leaf extract was used for the synthesis of copper nanoparticles and in the reduction and capping of the combined leaf extract CuNPs, it was discovered that the bioactive phytoconstituents condensed tannins, played a crucial role by the reduction of copper ions was identified by the change in color from blue to light green. SEM image showed the morphology and size of the nanoparticles and their binding ability with the combined leaf extracts. The spherical biogenic combined leaf extracts of CuNP’s were measured to have a size between 5 and 25 nm by Scanning Electron Microscopy (SEM) examination, Ultraviolet-Visible spectroscopy (UV-Vis) showed maximum wavelength at 224nm and XRD showed three strong peaks for its crystallinity and maximum was observed at 2063.0. From their characterization of synthesized CuNPs anti-microbial and anti-inflammatory methods were assessed. The samples showed different diameters of zone of inhibition at different concentrations by using Ampicillin as positive control. The synthesized nanoparticles showed a concentration-dependent anti-inflammatory activity, and the protection percentage increased with an increase in the concentration of the samples.
Political Corruption and Its Impact on the Rule of Law: A Comparative Analysis of Countries with Islamic Laws
Authors: Mahmoudi Narges 
Published: December 2023

The article "Political Corruption and Its Impact on the Rule of Law: A Comparative Analysis of Countries with Islamic Law" examines the relationship and impact of political corruption on the rule of law in countries with Islamic law. The primary objective of this article is to investigate the role and influence of political corruption in establishing the rule of law in these countries.
The research methodology employed in this study is content analysis, which examines the impact of political corruption on the rule of law in countries with Islamic law through the study of legal texts and political documents. In this research, the level of political corruption in countries is considered as an independent variable using secondary data from Transparency International and Universidad Passau, and its impact on the rule of law is examined through qualitative research methods by studying case studies and analyzing legal and political relationships concurrently.
The research findings indicate that political corruption leads to a violation of the rule of law in countries with Islamic law. Moreover, this article demonstrates that political corruption has a significant influence on the rule of law and the effectiveness of the legal system in these countries. Therefore, reducing and controlling political corruption in these countries is crucial for improving the rule of law and strengthening the legal system.
Exponential Consensus of The Stochastic Multi-Agent System by Means of Non-Fragilesampled Data Control with Markovian Leaping Parameters Under Switched Directedgraph
Authors: R.Sugumar, D.Ajay  
Published: December 2023

This work addresses the issue of achieving exponential consensus in a stochastic multi-
agent system with a leader, utilizing a non-fragile sample data control approach. The proposed system
incorporates a Markovian jumping parameter, and a directed graph with two switches represents the
communication between agents. The leader agent assumes the role of guiding the other agents in
the system. The linear matrix inequality format is derived by generating an appropriate Lyapunov
Krasovskii functional for the stated system, using the implementation of integral inequality. Numerical examples are provided to demonstrate the efficiency of the specified method.
Performance Analysis of Gray Level-Based Texture Features Using Chest X-Ray Images
Authors: S. Sanjayprabu, R. Sathish Kumar, S. Jafari, R. Karthikamani  
Published: December 2023

A grown-up COVID-19 recognition approach for chest X-ray images is presented in this paper. The COVID-19 virus is still having a terrible impact on people's health and quality of life around the world. The first essential step in the fight against COVID-19 is effectively screening those who are infected, and imaging of the chest represents a few of the main diagnostic methods. This study used chest X-ray images, this study is intended to automatically identify COVID-19 patients while optimizing detection accuracy by employing a gray-level-based method for extracting features and some classifiers. The dataset consists of 196 COVID-19 and 196 ordinary X-rays of the chest images. The initial phase involves pre-processing a dataset of 392 chest X-ray pictures. The preprocessed images were used to extract grey-level-based characteristics in the second step. The third phase presents the KNN classifier to attain 90.1% accuracy in patient classification.
Generalized Pre-Connectedness in Quadripartitioned Single Valued Neutrosophic Refined Topological Spaces
Authors: Arokia Pratheesha S V, Mohana K  
Published: December 2023

In this paper, we introduce the notion of quadripartitioned single valued neutrosophic refined connected (QNR connected)space , quadripartitioned single valued neutrosophic refined generalized pre connected (QNRGP-connected) space. We investigate some of characterizations of connectedness in these spaces.
Modified Algorithm for Privacy Preservation of Gathered Data
Authors: Sachin Sharma, Navodit Nain, Kunal Tewatia, Jatin Kumar  
Published: December 2023

The extensive prevalence of computing technologies in our daily lives and physical landscapes has led to the generation of vast datasets for analysis. Although, there is a growing uncertaintyregarding potential privacy breaches, as sensitive data could be exposed if not adequately protected during analysis. Many existing privacy-preserving methods encounter challenges such as inefficiency, scalability limitations, and the delicate balance between data utility and privacy conservation.
In this study, we introduce an algorithm known as PABIDOT. PABIDOT employs optimal geometric transformations to safeguard privacy within the realm of big data. We assess the efficacy of PABIDOT through a series of experiments involving nine distinct datasets and five classification algorithms. Our results highlight PABIDOT's exceptional execution speed, scalability, resilience against potential attacks,andits accuracy in large-scale datasets.In addition, we delve into the practical implications of PABIDOT in real-world scenarios, emphasizing its adaptability across diverse industries and applications. The algorithm's robustness in safeguarding sensitive information while maintaining data integrity sets a new standard in privacy preservation. Moreover, the study sheds light on potential avenues for further advancements in the field of secure data analytics, paving the way for more comprehensive and effective privacy solutions in the era of burgeoning data generation and utilization.
Pandemic Impact on Education in Namakkal Districts
Authors: Kaviyarasu V,  P. Arunachalam, K. Sasikumar, Selva Vinayagam  
Published: December 2023

To begin with, education is critical for humans. Knowledge, according to J.M. Clark (1957), is the only production instrument that is not subject to diminishing returns. Indeed, education alleviates poverty, unemployment promotes social inclusion and creates a safe environment, and the world has shrunk as a result of knowledge loss. The spread of COVID-19 has rendered the entire global clock inoperable. As a result, the existence of the entire human race in a sustained environment is in doubt. The entire world has been focused on finding solutions and a cooperative, proactive approach to resolving the COVID-19 pandemic in endemic areas. Both the central and state governments introduced a flurry of new programmes during COVID-19. During COVID-19, both the Central and State governments launch several programmes that will not be known for a long time. As a result, the study will consider the Tamil Nadu government's recently introduced higher education development programmes for COVID-19. In light of this, the Tamil Nadu government has been maintaining a suitable atmosphere for offering excellent education in Tamil Nadu from 2019 to 2022. When compared to other states, the Gross Enrollment Ratio (GER) is 51.4 percent, compared to the national average of 27.1 percent. Tamil Nadu has risen to the first place in higher education in India. Women's GER is 51%, compared to a national figure of 27.3 percent, while vulnerable societies' Scheduled Tribe men and women are 43.8 and 37.7 percent, respectively. Is it possible for higher education to maintain its first-place ranking among Indian states after COVID-19? The study seeks to determine whether free laptops, free education (up to postgraduate level in Government Arts and Science Colleges), financial assistance to economically disadvantaged sections, Chief Minister Relief Fund, and free SIM cards for students of Government Colleges, Government Aided Colleges, and students who receive scholarships in Self-financing Colleges are provided with 2 GB data per day to attend online classes during the pandemic. How many teachers are aware of online learning? How far has online education employing educational tools benefited both students and faculty (both teaching and non-teaching)? How effective is online lecturing, comprehension, and testing? With the unexpected global lockdown during COVID-19, education had a good opportunity to pave the road for global links through a coalition of connected institutions. Because the cost of ICT is prohibitively high for disadvantaged groups, authorities must address these issues in a way that benefits their future.
Optimization of Wear Parameters of AZ80-Sn-RE-Ca Alloy on Pin on Disk Tribometer Using Grey Relation Analysis and Taguchi Method
Authors: M. Madusudanprasad, V. Ramachandra Raju  
Published: December 2023

In general, reducing the amount of wear that mechanical systems generate during operation is one of the most crucial design issues. Determining the ideal process parameters based on research findings regarding wear amounts for various material compositions and configurations is one of the best ways to address this problem. Friction between moving parts produces heat at the points of contact, shortening component life and increasing power consumption. This wear and tear is a common occurrence in mechanical parts. The current project work involves experimenting with the pin-on-disc wear test method parameters and using magnesium tin alloy under dry sliding conditions as the material of study. A wear test research was conducted using various sliding speeds, load values, track diameter values, and sliding durations. Grey relation analysis and the Taguchi method are used in the Design of Experiments (DOE) methodology to anticipate wear and analyze variance (ANOVA).
Influence of Social Media Marketing on Business Performance of Durable Goods with Special Reference to Chengalpet District
Authors: K.Priya, P. Jagadeesan  
Published: December 2023

With the advent of technology the social media marketing is playing a significant role in the business. The social media tools are Facebook, YouTube, Twitter and Amazon etc., are used by all kind of business people. The business people use social media tools to promote their products and services. This study is focused on durable goods like household appliances, car, electrical & electronic items, books etc. are available in online marketing. With the help of social media marketing the durable goods performed well in online sites. In these sites they mention the product details, cost, warranty etc. It helps the consumer to know the idea of durable goods and also to proceed buying decision according to their wants and desires. The luxurious durable goods such as car, washing machine, television and refrigerators are daily used by the consumers and has to maintain the durability. With help of social media marketing the durable goods are bound to satisfy the household requirements due to various choices and based on income level of consumers.
Impact of Social Media Advertising on Consumer Buying Behavior - An Empirical Study
Authors: V. Kalaiarasi, M. Vigneshkumar, Vikram Bajaj Archana R. Motta, C. Muralikumaran, 
Published: December 2023

This study examines the influence of social media advertising on consumer purchasing behaviour. Amidst the prevalence of digital communication and online interactions, it is imperative for businesses to comprehend the impact of social media on consumers' buying choices. The study utilises a comprehensive methodology, investigating the many phases of the consumer decision-making process that are influenced by social media advertising. The study highlights several important elements, including the impact of social media exposure on brand recognition, the efficacy of targeted advertising in reaching certain consumer segments, and the influence of engagement and interaction on consumer views. The study also examines the impact of user-generated content, influencer partnerships, and real-time updates on consumer confidence and intention to purchase. The research seeks to analyse the data collected from various social media platforms in order to find patterns and trends in consumer behaviour that arise from exposure to social media advertising companies. In addition, the study examines the possible disadvantages, such as excessive information and privacy issues, linked to social media advertising and their influence on consumer decision-making. The purpose of the research is to provide valuable insights for making strategic decisions in order to enhance social media advertising campaigns and ensure they are in line with customer tastes and behaviours.
Indian Reality in the Fictional Works of Ruskin Bond
Authors: Bhardwaj Priyanka 
Published: December 2023

Ruskin Bond, a renowned and multifaceted literary figure, is primarily recognised for his fictional prowess, although he has also authored a handful of poems and non-fictional works. He resides permanently in Mussoorie with his adopted family. Despite his British lineage, he has wholeheartedly embraced Indian culture, beliefs, and traditions. Being born in India, he has been exposed to all aspects of Indian culture since his early years.He has developed a strong sense of connection and belonging to the land of India.Consequently, he is highly esteemed among authors who write in the Indo-Anglian literary tradition. The author's literary works are deeply immersed in the intricacies of Indian culture and its authentic representation.
Electronic Calculations of Sno2 Using Gga+U With Different Pseudopotentials and Relativistic Treatment
Authors: Santanu Kumar Nayak, Dipan Kumar Das Mandakini Baral, Padmaja Patnaik, 
Published: December 2023

The most complicated calculation in Density Functional Theory (DFT) is for exchange and correlation potential. In this work “Generalized Gradient Approximation, Perdew-Burke-Ernzerhof and Local density approximation along with Hubbard parameter U functionals are used for exchange and correlation potential approximation. The suitable pseudopotential and Hubbard U value for SnO2 calculation are detected computationally so that the results can be used for further calculation of electronic properties like lattice constant, band plot, TDOS and PDOS plots, magnetic properties etc. From these calculations ultra-soft pseudopotential with Schrodinger relativistic treatment having Hubbard U values Up =7eV and Ud =9eV improved the electronic properties. Utilizing these parameters, the calculated band gap is 3.628 eV with 0.77% of difference in comparison with the experimental data. Then the results from the TDOS and PDOS plots are discussed and analyzed. Symmetry nature of TDOS shows SnO2 has no magnetic behavior.