bluuebunny/crossref_metadata_2025_split huggingface dataset:
Lab Implementation of IPv6 in Enterprise NetworkUsing Cisco Packet Tracer
Authors: Et. al. Mohammad Ali Sadat, 
Published: January 2024

As technology is growing fast, using technologies is also increasing because the previous technologies cannot support the new requirements. In this case, every company is trying to implement newly released technologies. As IPv4 was introduced, it has been used for a long time in networking. But now, the limitations of IPv4 are too much, such as address limitation, subnet-ting with complex structure, inefficient NAT employment. This is why IPv4 is not considered to be used anymore. Because of IPv4 problems, the IPv6 protocol is designed and developed to overcome IPv4 limitations. The efficiency of IPv6 is more in packet processing, and routing pro-vides a simple network configuration and improves the QoS by decreasing latency in the time of the data packet transformation. As IPv6 has many features and new supported services.
With the emergence of IPv6, any enterprise companies are interested in implementing IPv6 in the enterprise network. An enterprise network includes protocols, virtual and physical networks that connect all systems and users on a LAN, and all applications in the cloud and data center. The main purpose of this research is to implement ipv6in the enterprise network. We used the latest version of the Cisco packet Tracer for simulation purposes. Cisco packet Trace can simulate necessary routing using EIGRPv6, OSPVv3, and RIPng and application layer protocols.
A Piece of Education on Comparative Performance Study of Islamic Banking system and Commercial Banking system in Pakistan
Authors: Et. al. Dr. Khurram Sultan, 
Published: January 2024

Purpose of the study: Islamic banking has been explained in numeral ways. This study is shown to find out the difference among the two parts of banking, the first one is Islamic banking and the second one is conventional banking system of Pakistan with respect to liquidity, efficiency, and profitability. The secondary data from banks of each banking subdivision is taken for valuation. Proportion analysis is used to define the characteristics of study respondents and regression analysis is used to study the difference in term of significant factors that affect client trust of Islamic banks and commercial banks.
Methodology: The secondary data from banks of each banking area is taken for calculation. Ratio analysis is used to conclude the characteristics of study respondents and regression analysis is applied to examine the difference in term of significant factors that influence customer trust of Islamic banks and commercial banks. Five Islamic banks and five commercial banks has been taken as sample under population of all the banks
Main Findings: The results of the study show that there is important difference among the both kinds of banking for the variables under study. Furthermore, influence of return on asset is more on client trust for the study period (2015– 2019) for the Islamic bank as compared to the conventional banking. The study also inspects the important factors that are significant for development of Islamic banking.
Application of this study: This study contributes toward the financial area for policymakers in order to build the best policies of the banking system. New banks can get advantage form this study in order to achieve their goals this thing will ultimately lead toward the success.
Differentially Private Data Release: Bias Weight Perturbation Method - A Novel Approach
Authors: Et. al. Dr. Priyank Jain, 
Published: January 2024

Differential privacy plays the important role to preserve the individual data. In this research work, discussing a novel approach of releasing private data to the public, which is differentially private, called Bias Weight Perturbation Method. The approach follow here align with principle of differential privacy, it also used concept of statistical distance and statistical sample similarity to quantify the synthetic data generation loss, which is then used to validate our results. Our proposed approach make use of the deep generative models for providing privacy and it further produce synthetic dataset which can be released to public for further use.
Entrepreneurial orientation and business performance: A study on micro and small entrepreneurs of Assam
Authors: Et. al. Hiranyamayi Majumder, 
Published: January 2024

Entrepreneurship is a vital source of growth and development in an economy. The multifaceted phenomenon of the term entrepreneurship makes it a streaming subject to enquire about its inevitability and universal applicability. The present paper is a similar attempt to study the exponential term entrepreneurial orientation and its relationship with firm performance in selected SMEs of Assam. After reviewing the literature, we came up with a set of agreed dimensions of EO i.e. innovativeness, proactiveness, autonomy, competitive aggressiveness, and risk-taking propensity. We tested a sample of 100 micro and small firms that had been in business for more than five years with a schedule consisting set of statement questions. Regression analysis was used to test the relationship between entrepreneurial orientation and firm performance that found a significant positive effect among the two. It can be concluded that entrepreneurial orientation of Micro and Small owners/managers can influence the success and survival of the SMEs.
The Role Print Media Coverage in Promoting ‘Swachh Bharat Abhiyan' A study with reference to leading newspapers in Rajasthan
Authors: Et. al. Vinod, 
Published: January 2024

The media plays a significant role in our lives by informing us about the happenings across the world and shaping our opinions on various issues. In this context, different forms of media have distinct utility in the dissemination of news and other important information. Print media is one of the most powerful and omnipresent tools for spreading information to a vast number of people in a cost-effective manner. The impact of the written word has never been underestimated and it remains a strong medium of communication and conversation. It is worth noting that reading written information leaves a long-lasting and deep impact on individuals and helps guide their views on a subject. Therefore, print media is of great significance in conveying information to different sections of the society and understanding their opinions which, in turn, has an impact on policy making.
This study is aimed at ascertaining and analysing the role of print media in spreading awareness on the issues of cleanliness and sanitation amongst the people of India. In this context, the study involves the analysis of news-related data of two leading national newspapers, namely ‘Dainik Bhaskar’ and ‘Rajasthan Patrika’. The overall levels of cleanliness in India are alarmingly low with minimal facilities for disposal of waste which is a major challenge for many people. Although there have been several programmes and campaigns drafted and launched by the government of India to improve the mechanisms of waste disposal and enhance the cleanliness levels across the country, the issue of waste management remains a persistent problem for most Indians.
Furthermore, the research methodology adopted for the study is 'Content Analysis’ which is an appropriate technique to analyse the contents of national English dailys. The study is focused on assessing the level of importance that the aforementioned newspapers have assigned to news related to cleanliness and sanitation issues. In this context, the findings of the study have revealed that both the newspapers have provided due significance to the aforementioned issues in their news coverage.
Learning Medium for Students with Visual Impairment
Authors: Et. al. R.Vaijayanthi, 
Published: January 2024

Students with Visual impairment benefit from building a strong foundation of literacy skills during their preschool years, a goal that is often more challenging for young Braille readers who lack access to the incidental learning readily absorbed by typically sighted children. Braille remains the main medium of communication for persons who are blind. The Disability Act of 2003, USA on its part stipulated that Learning Institutions should take into account the special needs for persons with disabilities with respect to the entry requirements, pass marks, curriculum, examinations, auxiliary services, use of school facilities, class schedules and other similar considerations. The Act also emphasized that provisions should be made in all parts of the country for an integrated system of special and non formal education for persons with all forms of disabilities. It also proposed for the establishment where possible of Braille and recorded libraries for persons with visual impairments. Keeping these points in view an attempt was done to know the Braille literacy medium for students with visual impairment. The objectives of the study were to examine the learning medium of students with visual impairment in Inclusive and Special schools and to find out the appropriate educational devices used by visually impaired students .Survey method was used to gather the details. The study was carried out with Ninety four students with visual impairment and thirty five special teachers. Qualitative analysis was done to analyze the learning medium for students with visual impairment. Results revealed that majority of the samples(77.66%) were students with Low vision than totally blind students(22.34% . The study revealed that students with visual impairment use book print ,print& audio ,reader service, digital/recorded books , audio tapes/speech input, large print with/without the aid of magnifiers as their learning medium. Nearly 52.38% of21 totally visually impaired students used Braille as learning medium.
Hesitant Fuzzy Prime Ideal Of Ring.
Authors: Et. al. Ali Abbas. J. 
Published: January 2024

In this paper, we study hesitant fuzzy sets and some of its properties .We introduce the notions of hesitant fuzzy ideal, hesitant fuzzy prime ideal of a ring and hesitant fuzzy strongly prime ideal ,hesitant fuzzy 3- prime ideals .
And we give a characterization of hesitant fuzzy prime ideal ,also introduce relationships between hesitant prime ideal and strongly prime ,3-prime .
And some important basic operation on the hesitant fuzzy prime ideal of a ring .
An Impact Assessment of Psychological Contract on Job Satisfaction, Commitment and turnover intention in Steel Industries in India
Authors: Et. al. Mr. Sarasa Kumar Panda, 
Published: January 2024

HRD practices change the capabilities of employees at all levels in an organization and in this way assume a significant role in driving advancement and development. Individuals' capabilities and how those capabilities are utilized within the organization due to advancements in the systems and processes of HR management involving HRD helps to leverage the many-fold benefits. In that trio of extraordinary capacities, HRD centers focus on learning and improvement at the individual, group, and organizational levels that happens when employees have the knowledge, competencies, skills, and attitude for getting the hang of, facing attentive challenges, sharing information, and thinking imaginatively, and when organizations offer help by managing it through effective KM[1]. Ishak et al. (2010) propose KM is fundamental for building up the human asset. It is additionally recommended that HRD is fundamental for developing the knowledge that flows through the KM framework. Hence, the purpose of this study is to investigate the pathways leading from HRD to OP through KM as a mediator and presenting a comprehensive framework for steel companies of India to strategize effective HRD practices for better and effective KM for enhanced Perf organization-wide. The main objective of this topic is to measure the effect of HRD Practice, Knowledge Management on the real organizational performance in the steel Industries in India. In this study, we have used SEM for the measure of the mediating effect of knowledge Management on HRD Practices for organizational performance.

[1] https://www.intechopen.com/books/knowledge-management-strategies-and-applications/knowledge-sharing-and-human-resource-development-in-innovative-organizations#B3
Perceiving feelings in text utilizing outfit of classifiers-An AI Application
Authors: Et. al. M. Yadi Reddy, 
Published: January 2024

Emotions comprise a vital factor in human instinct and conduct. The most well-known path for individuals to express their assessments, contemplations and speak with one another is through composed content. In this paper, we present a slant investigation framework for programmed acknowledgment of feelings in text, utilizing a troupe of classifiers. The planned group classifier diagram depends on the idea of joining knowledgebased and measurable AI arrangement strategies expecting to profit by their benefits and limit their downsides. The gathering composition depends on three classifiers; two are factual (a Naïve Bayes and a Maximum Entropy student) and the third one is an information based apparatus performing profound examination of the regular language sentences. The information based instrument dissects the sentence's content design and conditions and actualizes a catchphrase based methodology, where the enthusiastic condition of a sentence is gotten from the passionate fondness of the sentence's enthusiastic parts. The group classifier composition has been broadly assessed on different types of text, for example, news features, articles and online media posts. The exploratory outcomes demonstrate very good execution with respect to the capacity to perceive feeling presence in text and furthermore to recognize the extremity of the feelings.Estimation examination
Convergence Of Artificial Intelligence And Internet Of Things In Predictive Maintenance Systems – A Review
Authors: Et. al. Gopi Krishna Durbhaka, 
Published: January 2024

Operations and Maintenance costs have always posed a heavy burden in wind turbines and the main aspects in spending are on unplanned unscheduled breakdowns, repairs and down time costs. Technology enhancements with connectivity between wind farms and operations control center would reduce risk and improve efficiency during maintenance by continuously analysing the data acquired. Digital solutions of industrial internet of things and machine learning have made inroads and are the real game changers with the potential to supervise, predict and prevent catastrophic failures. Generating the insights from the data to understand the wear pattern and to formulate replacement strategies for reducing frequent maintenance costs and to increase the production. This paper shall discuss and review about the prognostics and diagnostics of the wind turbines, machine learning algorithms, identifying their inter-dependency within the subsystems and the available digital solutions for effective handling of data in predictive maintenance schedules.
Comparative Analysis of Various Face Detection and Tracking and Recognition Mechanisms using Machine and Deep Learning Methods
Authors: Et. al. Prof. M. Seshaiah, 
Published: January 2024

Recently, the security of individuals has become the prime concern for the human community. Various real-time security management systems are developed widely. Visual surveillance is considered as one of the promising technique to improve the security which helps to detect and recognize the objects. Numerous techniques have been developed for real-time video surveillance. Face detection, tracking and recognition is one of the important part of visual surveillance systems. The existing face detection schemes suffer from various challenging issues such as pose variations, illumination conditions and occlusion and many more. To overcome these issues, we have developed new schemes which includes Bayesian learning, Region Based Convolutional Neural Networks(RCNN) and GoogleNet based CNN model for face detection, tracking and recognition. In this work, we compare the performance of proposed schemes with existing schemes for different datasets to conclude the robustness of proposed approach.
Study on Service Quality of Insurance Companies -A comparative study.
Authors: Et. al. Dr Susheela Devi B Devaru, 
Published: January 2024

: Quality of service matters a lot in retaining existing business as well as getting new business in the service industries. Insurance being a service industry, it is needless to add that service quality is important. Today’s complex business environment makes it an imperative to maintain high quality service, come what may. Insurance sector is not an exception to the above rule. This study makes a simple attempt to compare service quality in both the Public and Private sector insurance companies. A sample of 107 responses from the existing policy holders belonging to both Public and Private sector insurance companies have been elicited to estimate the quality of service in them. Parameters such as Reliability, Confidentiality, Accuracy, Receptiveness to customer complaints, Quick complaint resolution, Receptiveness to customer suggestions, Innovations in products and services have been considered to estimate the service quality. Non probability sampling method and convenience sampling technique has been used in this study.
The Effect of the Mobile Correspondent Strategy on the Achievement of Students of the College of Basic Education / Department of Science in the practical Subject of Algae and Fungi
Authors: Et. al. Rania Mohammed Jassam Hammadi, 
Published: January 2024

The research aims to identify the impact of the strategy of the mobile correspondent on the achievement of students of the College of Basic Education / Department of Science in the practical subject of algae and fungi .
To achieve the goal of the research, the following null hypotheses were developed:
1- There is no statistically significant difference at the level of (0.05) between the average scores of the experimental group students who studied according to the mobile correspondent strategy and the average scores of the control group students who studied according to the usual method in the practical test of algae and fungi.
To achieve the goal of the research and its hypotheses, the researcher adopted the experimental design with two groups of experimental and control, one of them controlling the other partial control and those with a post-test to measure achievement and positive thinking. The current research community is represented by all the students of the third stage / Department of Science / Branch of Life Sciences / Colleges of Basic Education in Iraq for the academic year (2020-2021), The researcher chose the third-stage students of the Science Department / Life Sciences Branch in the College of Basic Education / Al-Mustansiriya University as an intentional sample, as the number of its members reached (83) students distributed between two classrooms (A and B).
Awareness of Chemical Innovations Among Teachers of Chemistry
Authors: Et. al. Rashwan Jalil Saeed Al-Mashkoor, 
Published: January 2024

The current research aims to identify:

Awareness of chemical innovations among chemistry teachers.
Statistically significant differences in awareness of chemical innovations, according to the gender variable (males, females) and years of service (less than 15 years, more than 15 years).

In order to achieve the objectives of the research, the researcher adopted the descriptive research method, and the research community was identified and his sample was selected: Chemistry teachers in middle, middle and high schools affiliated to the General Directorate for Education in Al-Qadisiyah for the academic year (2020-2021) AD, and the research sample consisted of (400) teachers and a school of chemistry and by the fact ( 187) teachers, and (213) female teachers. A measure of awareness of chemical innovations was built and consisted of (54) items. The scale was applied to the research sample, and the results showed poor awareness of chemical innovations among chemistry teachers. The awareness of the chemical innovations was not affected by the variable of sex and years of service. In light of these results, the researcher developed a set of recommendations and proposals.
Design & development of secured energy-efficient double-stage cooperative multi-path routing protocol in multi-hop co-operative WSNs to maximize the network lifetime & minimize energy consumption
Authors: Et. al. Anupama T.A, 
Published: January 2024

In this research article, the development of a stable & secured energy efficient cooperative multi-path routing protocols for the WSNs using rejuvenated double stage cooperative multi-path routing protocols for effective transfer of data packets, to increase the network’s life-time and minimize the consumption of the energy, which is one of the proposed objectives. Here, design & development of an energy efficient dual stage cooperative routing protocol (DSCR) in multi-hop wireless networks maximizing the network lifetime, increasing the reliability and minimize the energy consumption, is being portrayed. The main objective of this article is to present an improvised / rejuvenated version of the dual stage data transfer scheme that computes the routing path by using cooperative mechanisms using the concept of reduced energies of the nodes. The work done is also compared with the work done by other authors in order to substantiate the effectiveness of the algorithm developed. This objective also demonstrates the various results obtained for all the test cases along with the necessary observations and explanations in the form of discussions and diagrammatic representations.
Differential Evolution based Cluster optimization for Multi valued data sets
Authors: Et. al. P Gopala Krishna, 
Published: January 2024

In data analysis, items were mostly described by a set of characteristics called features,in which each feature contains only single value for each object. Even so, in existence, some features may include more than one value, such as a person with different job descriptions, activities, phone numbers, skills and different mailing addresses. Such features may be called as multi-valued features, and are mostly classified as null features while analyzing the data using machine learning and data mining techniques. In this paper, a proximity function is described to find the proximity between two substances with multi-valued features that are put into effect for Clustering. This distance measure approach allows iterative measurements of the similarities around objects as well as their characteristics. For facilitating the most suitable multi-valued factors, we put forward a model targeting at determining each factor’s relative prominence for diverse data extracting problems. The proposed model is an evolutionary strategy that uses Differential strategy for evolutions, which is using the degree of member ship as fitness function. The proposed clustering algorithm as multi valued attribute data cluster optimization based on the strategy of Differential evolution (MVA-DE). Therefore this becomes feasible using any mechanisms for cluster analysis to group similar data. The effectiveness of our model is evinced by performance analysis carried through experimental study. The outcomes of the experiments carried on proposed model were compared with other strategic clustering approaches like fuzzy c- means based Clustering of Multivalued Attribute Data (FCM-MVA) and K-Means with Tanimoto based multi-valued data clustering. The findings demonstrate that our test not only improves the performance the traditional measure of similarity but also outperforms other clustering algorithms on the multi-valued clustering framework.