bluuebunny/crossref_metadata_2025_split huggingface dataset:
FDI and Economic Growth in SAARC Countries: An Empirical Analysis
Authors: Et. al. Ahsanuddin Haider, 
Published: January 2024

Foreign Direct Investment (FDI has been considered as a powerful weapon of globalization with double edge that cuts both ways mean it impacts positively and negatively. Its impacts positively by supporting the host country’s economy in terms of capital inflows and up-to date technology but FDI also affect the host country by overexploiting its resources. Despite all these thing, this capital provides an opportunity to underdeveloped and developing countries by providing to access new markets, advance technology, cost effective production facilities and more investment opportunities. It is a two way mechanism for both the countries first, from where FDI comes and second where FDI is invested in form Greenfield and Brownfield. For the host country, it is a new way to economic development. This chapter has been investigated the effect of FDI on economic growth of host country and effect of economic growth on FDI by applying regression analysis and found that that the overall model is positive and significant at 5 percent significance level for seven countries namely Afghanistan, Bhutan, India, Maldives, Nepal, Pakistan and Sri Lanka. However, for Bangladesh the model is found to be insignificant, at second stage, ADF test is employed to data for Stationarity check. ADF calculations indicate that both the variables are stationary at level and first difference at 1 percent level of significance; however few exceptions are there, at the final stage.
Pandemic Covid-19: Android Application "Mh Mobile" Is A Solution For Leprosy Patients
Authors: Et. al. Ronal Surya Aditya, 
Published: January 2024

Leprosy has not disappeared; this old disease still exists today in our country. Eliminating leprosy requires extra effort, one of which is using technology. Human activity in modern times uses technology. One of the technologies that everyone has is a smartphone. The challenge during a pandemic condition is that it is very risky for people with leprosy if they have to go to a community health center or hospital. This research was conducted with a quasi-experimental design with a pre-post control group design with a sample size of 70 people. The intervention was carried out using the media in the form of the android application "MH Mobile" in the treatment group. Change in Knowledge and adherence as measured by a validated questionnaire. The questionnaire was measured before and after the intervention and then tested using the Wilcoxon and Mann-Whitney tests. Statistical analysis showed that there was an effect of MH Mobile on knowledge and adherence (p = 0.000). There were significant changes in the two groups between before and after the intervention. The MH Mobile android application can be an effective means of providing education about leprosy as an effort to increase knowledge during the pandemic era 19
Mining User Generated Contents in Online Healthcare forum using Text Mining Techniques
Authors: Et. al. M. SuryaPrabha, 
Published: January 2024

The development of online health care forum patients and health seekers can access the Internet and get health related information through their social media blogs and health care forums. These forum users are involved to post emotional based messages and health related posts. In this forum enormous amount of emotional based messages posted by different stakeholders that are patients, caregivers and healthcare experts. In this online healthcare forum patients /healthseekers post a question. Peers who reply to the questions asked that replies are based on more emotions oriented messages. For analyzing these messages to find the adoption based answers , Stakeholders and Topic identification in the messages and Sentiments (emotions) to the messages. For this Framework we use various text mining methods as preprocessing , NLP methods ,and Machine learning algorithms as SVM- RBF(radial Basis Function) Classification , K-medoid clustering method and Lexicon Data Analysis (LDA) is used .In this paper Medhelp online healthcare forum messages were taken up for analysis.
Application Of Horadam Polynomial On Sakaguchi Type Bi-Univalent Functions Satisfying Certain Subordination Constraints
Authors: Et. al. Balakrishnan Senthil, 
Published: January 2024

In this current investigation, we apply Horadam polynomial to establish sharp upper bound for the second and third coefficient of functions from new subclass of sakaguchi type bi-univalent functions defined in the open unit disk . Also, we discuss Fekete-Szego inequality for functions belongs to this subclass.
Genetic Algorithm Based Fuzzy Local Informationc-Means (Gaflicm) Clustering Algorithm And Hybrid Kernel Convolution Neural Network (Hkcnn) With Distributed Processing Framework For Brain Mri Images
Authors: Et. al. Vigneshwari K, 
Published: January 2024

Cancer is the large important origin of casualty in today world. Among many cancers, brain cancer has been becomes one of the lowest living rate. It is formed based on the brain tumor. However brain tumors are able to have diverse categories based on their shape, texture, and position. Appropriate identification and retrieval of the tumor types create potential the doctor to compose the right cure option and assist keep the patient's life. Image processing has gained wide attention in medical analysis and health in recently. In general image processing methods, brain Magnetic Resonance Imaging (MRI) image collections cannot be processed efficiently on one computer due to large collection sizes and high computational costs. Hence, parallel computing and distributed system has been performed increasingly for brain MRI images in recently. In this paper, a novel Medical Image Cloud Processing (MICP) based distributed processing framework is proposed for brain MRI images by lesser computational time. In this work, image preprocessing is done by using the Adaptive Median Filtering (AMF) and image enhancement by Histogram Equalization (HE). The proposed MICP framework includes of Static Medical Image Cloud Processing (SMICP) and Dynamic Medical Image Cloud Processing (DMICP). In MICP framework, SMICP consists of two methods called Pure-Image and Big-Image. These methods are integrated to Genetic Algorithm based Fuzzy Local Information C-Means-MapReduce (GAFLICM-MR) algorithm to attain more optimized design and higher effectiveness. The core design of GAFLICM-MR framework is to make use of the rich computing resources given by means of the distributed system consequently as to apply efficient parallel processing. GAFLICM algorithm is also used as brain tumor segmentation in MRI images. In MICP framework, DMICP is developed via a parallel processing process of the distributed system. For retrieval and detection of brain Magnetic MRIimages into normal and tumor, Hybrid Kernel Convolution Neural Network (HKCNN) is developed in this work. Finally the results of the HKCNN classifier are compared to other previous works like precision, recall, f-measure, accuracy, time and memory.
A Comparative Study on the Environmental Awareness and Environmental Attitude among the Undergraduate Students
Authors: Et. al. Dr. Moyuri Sarma, 
Published: January 2024

The increase in comprehensive abilities, alertness and sentience towards the biophysical environment and the issues comprising of human interactions and its consequences is known as environmental awareness. Environmental Attitude is the degree of favour or disfavor towards the natural environment. They are latent construct and therefore we cannot observe them directly. The growth of development of awareness, understanding and consciousness towards the biophysical environment and its problems, including human interactions and its effects is known as Environmental Awareness. In other words it means thinking ecologically or in terms of ecological consciousness. The paper aims to study the environmental awareness and environmental attitude among under graduate students and investigates if there is a significant difference between the students of Commerce and Arts streams in terms of their awareness and attitude towards the environment. It is hypothesized that there is no significant difference between the students of Commerce and Arts streams in terms of their awareness and attitude towards the environment. For the purpose of this descriptive study, the investigators have selected a sample of 46 students, (16 in Commerce and 30 in Arts) of the Under-graduate level, from 2 Degree Colleges located within the Guwahati City. Purposive sampling and Simple Random Sampling are used to determine the colleges and the sample respectively. Moreover, the tools used for collecting data are (i) Taj Environmental Attitude Scale by Dr. Haseen Taj and (ii) Environmental Awareness Test by Dr. K. Yeshodhara. t-test has been applied to determine the level of significance of the test results. After analyzing the data, it has been found that there exists a significant difference between the two groups in terms of their awareness towards the environment. However, there is no significant difference between the Commerce and Arts students in terms of their attitude towards the environment
The evolution of Blockchain and it’s adoption
Authors: Et. al. Nilesh Jain , 
Published: January 2024

A blockchain is at its core a spread data set of exchanges and records, alternatively state it as a public record of the multitude of exchanges and digitals occasions that have occurred even once between the sharing gatherings. Each execution in the public record or you can call it as an open record is checked and confirmed by generally most of the individuals holding the public record. Once input, data can’t be erased. The blockchain contains guaranteed and obvious record noted of every exchange made anytime. The Bitcoin, happens to be the most standard model that uses blockchain innovation. The advanced type of cash bitcoin itself is astoundingly faulty anyway the major blockchain innovation has worked immaculately and found huge extent of employments in both the worlds, monetary and non-monetary.
The fundamental thought behind blockchain is the establishment that it sets for a framework where a conveyed lion's share is needed in the online computerized world. This encourages anybody needing to take an interest to check if a specific exchange occurred ever. You can modify Public Ledger holding of a couple or state a couple of more than that however won't have the option to fulfill the rest and henceforth the occasion would perhaps come up short. Blockchain has made it conceivable to build up a non-inclination, open and versatile advanced economy for incorporated type of frameworks also.
This entire paper would tell you the pro et contra of the Blockchain Technology and furthermore, it's applications in the monetary and non-monetary world. We will likewise discuss the different chances that Blockchain Technology has opened up for different organizations and would definitely be an innovation that would acquire the upset in the period of Internet.
Parikh Fuzzy Vector for Finite Words of Rectangular Hilbert Space Filling Curve
Authors: Et. al. Thiagarajan K, 
Published: January 2024

Parikh Fuzzy vector for finite words of Rectangular Hilbert Space Filling Curve is introduced. Recurrence relations for this vector and its complement vector are produced. It is shown that the components of the Parikh Fuzzy vector are equally distributed at the limiting level. Hence, it is observed that the Parikh Fuzzy vector tends to a constant vector as n tends to infinity. Moreover, it is also valid to any other kinds of Space Filling Curves like Lebesgue Space Filling Curve, Peano Curve and Moore Curve
Survey paper on different Cloud Auditing Systems
Authors: Et. al. Poonam Malik, 
Published: January 2024

Let us start by considering that there is a public pool of computer resources, these resources are made available as and when required i.e., are offered on-demand to the users. This is Cloud Computing in its simplest and most basic form. The different cloud services being offered can be categorized as application as a service (PaaS), infrastructure as a service (IaaS), and software as a service (SaaS). The requirements of a cloud user fall under any of these services and accordingly can be offered to the cloud user.
In current times, there is lot of interest in cloud computing as well as in its adoption. But the cloud users are fearful of losing the power and governance due to lack of transparency, accountability and confidence in the cloud. To improve the trust of cloud users, the cloud can be audited and verified against cloud user’s security properties. This helps in instilling a sense of faith in cloud users that their security properties are respected in the cloud. The cloud presents several problems in collection of data and processing due to the irregularity of information architecture and the lack of correlation. Furthermore, on one hand the size of cloud is humongous and on the other hand there is continuous or runtime need of validation, hence the verification of security properties becomes a difficult task.
Still, lot of work is happening in cloud security auditing. In this paper, we will try to review and summarize some of the recent work done in this area.
The Impact of Generative Study Strategies on Prospective Teachers’ Reading Comprehension and Recall of Short Stories
Authors: Et. al. Mrs. P. Priya, 
Published: January 2024

Reading and Recalling skill provides support to prospective teachers with new learning ways and practices. The art of generative teaching is knowing how and when to facilitate the learner’s construction of relations among the parts of the text and their knowledge. The aim of the study is to find the impact of generative study strategies of the prospective teachers’ reading and recall of short stories. Experimental method was adopted in this study. The sample consists of 60 prospective teachers with both male and female of summarization group, question-generation group and control group in Thoothukudi area. Simple random sampling technique was used. R.K.Narayanan’s three short stories were selected as the material for the study. The statistical techniques used were mean, standard deviation, t-test and Pearson product moment correlation. The findings were: there was significant relationship between prospective teachers’ reading comprehension and recall test of the three groups. There was also positive correlation with respect to gender, locality, medium of instruction in school level and college level, speaking in English and reading English story books among the groups.
Impact of Brand Loyalty on Customer Satisfaction (An Empirical Analysis of Clothing Brands)
Authors: Et. al. Shirin Jamal, 
Published: January 2024

Purpose of the study: This study explored to prove whether this relationship really exists or not. So author examined the case of a clothing brand. Three different types of customer satisfaction were distinguished: (i) satisfaction with the clothes; (ii) satisfaction with the sales service and (iii) satisfaction with the after‐sales service. It was expected that all three types of satisfaction would be influenced by brand loyalty.
Methodology: Three brans have been selected three famous brands of Pakistan (Ideas, Outfitters and J.). and researched on them from 2018-2019. We have mail and got 122 responses from the customers of these brands and we have physically filled some questionnaires from customers also and collected an integrated data of 151 responses. The three different types of customer satisfaction and the intention to buy the same brand of clothe again, as well as the intention to buy from the same dealer again were measured.
Main Findings: The analyses of the results revealed that: customer satisfaction with the clothes is major determinants of brand loyalty. In this case Customer satisfaction is dependent and brand loyalty is independent because they have a causal relationship because when the brand will be loyal to its customers then the customers will be satisfied with the brand. Our brands are the most famous brands and are the market setters and compete with each other very well. So, we have selected these because they all are most accurate according to our research topic and there is no bias sampling in these sample. Furthermore, it was found that the strength of the relationship between different types of satisfaction and loyalty is the quality of clothes and the after services given by the brand.
Application of this study: This study will contribute toward new clothing brands who they are new in their track and struggling for the customer satisfaction with loyalty. Furthermore, the results of this study also can help out to the brands that has been taken as sample to understand their market and to improve them.
Cross-Flow Flat-Plate Heat Exchanger Using Computational Fluid Dynamics Simulation on Wood Drying Chamber
Authors: Et. al. La Ode Mohammad Firman, 
Published: January 2024

Engineered wood must undergo a long period of drying process before it is ready to be used. Therefore, a new heat exchanger technology must be invented to dry the engineered wood more effectively. The quality of the engineered wood is one of the factors influencing the production process. This research was conducted to identify the optimal temperature for drying engineered wood using a cross-flow flat-plate heat exchanger with unmixed fluid arrangement and to determine the heat exchanger’s most efficient number of passes.
This research was conducted using the numerical method (CFD simulation) and the Ansys Fluent software. In this research, the viscosity, density, and pressure constant were determined to be at 1 atm. We used air as fluid medium with a mass density of 1,228 kg/m3, air thermal conductivity of 0.0286 W/m.K, fluid viscosity of 2,0349.10-5 N.s/m2, steam mass density of 0.689 kg/m3, and thermal conductivity of 0.0370 W/m.K.
Results showed that, in order to increase the air temperature in the drying chamber, heat energy of 69566.01 kJ/s must flow into the flat-plate heat exchanger. Further calculations show that the heat exchanger’s effectiveness (ϵ) was 25% and that the average temperature in the heat exchanger on the air side and the gas side was 68.63 oC and 172.5 oC, respectively.
Analysis Of Factors Responsible For The Better Performance Of Employees Private Organisation In Chennai City
Authors: Et. al. K. Mutharasi, 
Published: January 2024

Performance of the employees in the private sector in the city of Chennai its covered by the are reason, but all kinds of organisation must to concentrate the performance in the level of basic to the top level management. The management people are also advice to the current situation is not the easy task of the business people, so we want to provide a right way for the right kinds of employees. The level of employee’s motivation is very essential one in the field of human resources. The human resource management does not have any limitation for the service proving functions. The article contain the scope and objectives behind the study is to find out the important factors which are responsible for the better performance of employees. This study also contains, chi-square test table, findings, suggestions and also its limitations.
The 'Bottle Villa' Of Illusions and Desires: A Critical Study of The Tragic Heroines of Atwood's Surfacing and Tenesse William's A Streetcar Named Desire
Authors: Et. al. Aiswarya Jayan, 
Published: January 2024

"Obstinately she tried to control and defy her destiny and to know her story is to be inspired by pity and terror" - Elain Dundy
The literary landscape resounds with the echoing hollering of the great tragic heroes, whose Homeric lives had made the literary vista resplendent. But amidst the din, there exists the complex caricatures of tragic heroines who stuns us with the sheer intensity of the paroxysm that is their lives. Tennessee Williams and Margaret Atwood has given the world two such heroines whose lives are akin to the constrictor knots i.e their lives tighten and strangles them as they try to escape from it. This paper is a novel attempt to collate the tortuous characters of these women who has intrigued the audience with their fascinating psyches.
Brainstorm optimization for multi-document summarization
Authors: Et. al. Tamilselvan Jayaraman, 
Published: January 2024

Document summarization is one of the solutions to mine the appropriate information from a huge number of documents. In this study, brainstorm optimization (BSO) based multi-document summarizer (MDSBSO) is proposed to solve the problem of multi-document summarization. The proposed MDSBSO is compared with two other multi-document summarization algorithms including particle swarm optimization (PSO) and bacterial foraging optimization (BFO). To evaluate the performance of proposed multi-document summarizer, two well-known benchmark document understanding conference (DUC) datasets are used. Performances of the compared algorithms are evaluated using ROUGE evaluation metrics. The experimental analysis clearly exposes that the proposed MDSBSO summarization algorithm produces significant enhancement when compared with the other summarization algorithms.
Predictive study on Mechanical strength of Lightweight concrete using MRA and ANN
Authors: Et. al. R. Pranamika, 
Published: January 2024

The lightweight concrete is preferred over regular density concrete as it which reduces the dead load of the structure due to its lower density. The reduction in dead load of the structure, resulting in a considerable decrease in the size of structural elements and reinforcements; thereby, the building's cost can be reduced. The lightweight concrete is achieved through natural lightweight aggregates, artificial lightweight aggregates, coconut shells, oil palm shells, aeration in concrete, etc. The mechanical properties like compressive strength, tensile strength, density depend upon lightweight aggregate, fine aggregate, super-plasticizer, cement content, water-cement ratio, etc. The mechanical properties can also be predicted using artificial intelligence from the existing data. This research aims to predict lightweight concrete's mechanical properties using MRA and ANN accurately.