bluuebunny/crossref_metadata_2025_split huggingface dataset:
The Correctness of Service in Runtime Adaptation for Context-Aware Mobile Cloud Learning
Authors: Et.al Sufri Muhammad 
Published: April 2021

Service-Based Applications (SBAs) have become increasingly pervasive. These applications rely on the third-parties services available on the cloud, and services must be aware of and adapt to their changing contexts in highly dynamic environments. SBAs with context-aware capabilities have provided the users with personalized services based on their user's (intrinsic) and device's (extrinsic) contextual information, as well as the Quality of Services (QoS). The correctness of service substitution in runtime adaptation is substantial for the continuity of user activity on the system. In Mobile Cloud Learning (MCL) environment most works only focus on intrinsic context factors such as learner's profile, learner's location, etc. We then introduce a comprehensive Dynamic Service Adaptation of Context-Aware Mobile Cloud Learning (DACAMoL), which is designed to reason for bothcontextual factors and QoS inservice discovery, ranking, and selection. The framework represents the contextual information, service descriptions, and QoS using a semantic-based approach to improve the correctness of service substitution. In this paper, wepresent a quasi-experiment study to demonstrate the DACAMoL framework with a mobile app called Mudahnya BM. Mudahnya BM is a learning app to learn basic knowledge of Malay language that build using RESTful backend services. The study involved 30 participants and 33 randomized scenarios tested using One-Sample Wilcoxon Signed Rank test. The results show significantly better service substitutions with 32 out of 33educational servicesare correctly adapted (i.e. 95% of the population).
Design of 16-Bit SAR ADC Using DTMOS Technique
Authors: Et.al Yarlagadda Archana 
Published: April 2021

This paper presents a 16-bit 100MS/s SAR ADC with 1V power supply for biomedical implant systems developed with low power technique i.e., DTMOS logic. It consists of a R-2R DAC, low-power comparator, a digital SAR logic with low-leakage. The designed comparator is a differential architecture that has used to have an excellent, common-mode noise rejection. Comparator was created for proper operation to remain in saturation and could be used with differential amplifier. The comparator is the chief block of power consumption, so we focused mainly much of ability we make to design this module. The ADC is designed using Cadence virtuoso with CMOS 45nm technology. For SFDR, SNR, ENOB and power consumption, the converter utilizes 63.97dB, 51.06 dB, 15.15 and 528.8uw.
Reliability and Validity of Compulsive Buying Scale Without Middle Point
Authors: Et.al Santanu Choudhury 
Published: April 2021

Objective: The study aims at finding out the affect of reliability and validity for the compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale without middle point.
Methodology: Responses across 5 to 9 point scales are obtained to calculate the reliability and validity of compulsive buying behavior scale by Valence, d’ Astou’s and Fortier Scale. Cronbach’s alpha is used to measure the internal reliability of the scale. To compare the reliability coefficients among different scale points Feldt test and Hakstian-Whalen test are used. Convergent validity for measuring inter-correlations between scales with different numbers of response categories is used and Fisher’s –r to –z transformation is used to test population correlation coefficient.
Conclusion: From study it is concluded that there is no change in reliability and validity when the middle point is dropped from the compulsive buying scale.
Quantitative Easing In Overcoming the Crisis: Criticism ofQeinthe Monetary System Of Capitalism
Authors: Et.al Aang Kunaifi 
Published: April 2021

This study aims to describe the form of Quantitative Easing applied by the Central Bank as well as qualitatively measure its benefits and excesses. To obtain a description and know the benefits and excesses in question, the research approach uses a qualitative approach by conducting a literature study of several facts and quantitative easing studies by Bank Indonesia and the Fed from various literature and media inductively relevant theories. This study's findings show that excesses can be detrimental to society, and countries that are shariah are harmful that should be avoided. This research is expected to encourage further research to determine the correlation of Quantitative Easing policy to the resolution of economic crisis and obtain alternative solutions by implementing the Islamic monetary system.
The impact of the covid-19 pandemic that continues to this day causes economic shock, the slowing flow of goods commodities, decreased production, and decreased purchasing power of the community. Various policy efforts are carried out through fiscal stimulus as well as support through monetary policy in the form of quantitative easing.
Current Conceptual Problems of the Russian Agrarian-Industrial Complex Digitalization in the Globalization Content
Authors: Et. al. Volostnov N.S 
Published: April 2021

The modern global economy is becoming more digital, and at great speed, intensity, and scale. Its international universal ‘language’ is information technology. Only this ‘language’ is objectively possible to ‘understand’, to interact concerning isolated, national reproductions taking place in many states. It is the need for this understanding, as well as for its practical use, that act as the criteria reasons for digitalization of the national economy of Russia as a whole, and its organic component - the agro-industrial complex.
Another reason, is the economic necessity of the above-mentioned phenomenon, which allows receiving, store and transmit information about counterparties, tariffs and make contracts, make fuller use of limited resources, and in the best way satisfy both production and personal needs of various subjects in real-time [1].
The article reveals the content of the modern stage of the Russian agro-industrial complex digitalization in its integrity and specificity
Muslim Workers’ Perceptions of Performing Prayers at Workplaces and Its Impacts on Their Work Performances
Authors: Et.al Abdul Munir Ismail 
Published: April 2021

Purpose: Studies have shown that employees performing prayers at workplaces has raised several controversial issues relating to their working performances. As such, this study was carried out to examine Muslim workers’ perceptions of the positive impacts of performing obligatory prayers at their workplaces.
Methodology: This study was based on a quantitative approach using an online survey based on Google form through which 200 Muslim workers, whose ages ranged from 18 to 50 years, were randomly selected to be the respondents. The Statistical Package for the Social Science (SPSS) (version 23.00) was used to analyze the data descriptively in terms of frequency and percentage.
Findings:Revealingly, the findings showed that most Muslim workers perceived performing obligatory prayers had significant impacts on making them more disciplined, punctual, able to work more independently, productive, and competitive. Equally revealing, they perceived strict observance of obligatory prayers had profound impacts on their perseverance to adhere to rules and to avoid committing a breach of trust. Such promising findings should inform employers the inalienable rights of Muslim employees to pray in their premises, which is enshrined in Malaysia’s federal constitution, and the positive impacts of prayers on their workers’ discipline, motivation, and ability, which collectively can help improve the productivity and profitability of their organizations.
Significance:On a positive note, the above findings can help dispel several negative perceptions of some employers that Muslim workers performing prayers at workplaces will adversely affect their productivity, which was found in this study to be completely unfounded and untrue.
Community Service as an Alternative Form of Punishment under the Domestic Violence Act 1994 in Malaysia
Authors: Et.al Daleleer Kaur Randawar 
Published: April 2021

This article intends to explore the punishment meted under the law relating to domestic violence in Malaysia. The investigation extended to an analysis with the need to implement and introduce community service as a form of punishment for domestic violence offences. A comparative legal research methodology is employed in comparing the positions in Malaysia and certain selected jurisdiction. It is expected that the findings of this paper will look into the need to introduce and implement community service as a form of punishment which will optimisticallyencourage repentance by the offender and preserve the sanctity of marriage. Community service as a form of punishment will be a great intervention that will more likely emphasize the responsibility of the wrongdoer in healing a family relationship. The article seeks to suggest legislative reforms which will involve a comparative study of other comparable jurisdictions.
Towards Achieving Long-Term Debt Sustainability: A Systematic Review of the Key Determinants of Personal Bankruptcy
Authors: Et.al Aqilah Nadiah MD SAHIQ 
Published: April 2021

Purpose: This systematic review aimed to assess previous research about financial and non-financial causes of personal bankruptcy among individual households. Additionally, the paper aimed to provide an insight into the key determinants of personal bankruptcy and to determine their relationship with individual characteristics. The fundamental causes of bankruptcy and its effects on financial status were also discussed. Through understanding the causes of bankruptcy, we hope to help financial institutions to minimise the number of personal bankruptcies.
Design/methodology/approach: A comprehensive systematic search was conducted to identify articles on determinants of personal bankruptcy. The selected articles were then analysed using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol.
Findings: We identified several themes that emerged as the key determinants of personal bankruptcy filings. These determinants were demographic indicators, socioeconomic status indicators, debt indicators, financial indicators, social stigma indicators, behavioural indicators, and macroeconomic indicators.
Research implications: The key determinants of personal bankruptcy that were identified in this systematic review are renowned factors in the personal bankruptcy literature. Therefore, these determinants should be studied extensively to examine their effects in other studies and using a different type of datasets.
Practical implications: The findings of this study help the financial institutions to predict the likelihood of consumer default by developing an effective credit scoring model. Additionally, the development of an effective credit scoring model could serve as an early warning indicator to identify “high risk” client.
Originality/value: Bankruptcy is a long-term process that does not occur instantly. Therefore, a longitudinal and comprehensive approach is required to understand bankruptcy. Our findings contribute to the current literature by providing a better understanding of the causes of personal bankruptcy. We recommend developing an effective credit scoring model to predict the likelihood of personal bankruptcy.
Analysis of Emotion Recognition Model Using Electroencephalogram (EEG) Signals Based on Stimuli Text
Authors: Et.al Khodijah Hulliyah 
Published: April 2021

Recognizing emotions through the brain wave approach with facial or sound expression is widely used, but few use text stimuli. Therefore, this study aims to analyze the emotion recognition experiment by stimulating sentiment-tones using EEG. The process of classifying emotions uses a random forest model approach which is compared with two models, namely Support Vector Machine and decision tree as benchmarks. The raw data used comes from the results of scrapping Twitter data. The dataset of emotional annotation was carried out manually based on four classifications, specifically: happiness, sadness, fear, and anger. The annotated dataset was tested using an Electroencephalogram (EEG) device attached to the participant's head to determine the brain waves appearing after reading the text. The results showed that the random forest model has the highest accuracy level with a rate of 98% which is slightly different from the decision tree with 88%. Meanwhile, in SVM the accuracy results are less good with a rate of 32%. Furthermore, the match level of angry emotions from the three models above during manual annotation and using the EEG device showed a high number with an average value above 90%, because reading with angry expressions is easier to perform.
For this reason, this study aims to test the emotion recognition experiment by stimulating sentiment-tones using EEG. The process of classifying emotions uses a random forest model approach which is compared with two models, namely SVM and decision tree as benchmarks. The dataset used comes from the results of scrapping Twitter data.
The Model of Intellectual Capital based Information Technology and Its Implication on Employees Performance
Authors: Et. al. Odang Kusmayadi, 
Published: April 2021

This research focused on higher of job rejection result and low of coordination among unit in problem solving of all the projects which is tend to decline of employees performance. The main issues discussed in this reseach is factors influence it, namely human procurement ,development and intellectual capital based information technology.The research aims to analyze, describe and test the impact of human procurement, development on intellectual capital and its implication on employees performance at Indonesian Aerospace,Ltd. The research used was descriptive and explanatory survey method, so the research attempts to collect, present, analyze, and test hypotheses, to make a consclusions were used Structural Equation Model (SEM) approach. The design of study is a survey reseach, the unit analysis selected were core knowledge worker with a sample size of 303 from 1245 employees, based on Slovin’s formula. The results indicated that human procurement, development have a simultaneously positive and significant effect on intellectual capital based information technology, and human procurement, development are either partialy or simultaneously have a positive and significant effect on employees performance level throught intellectual capital based information technology. The findings are:(1) human procurement indicates low contribution on either intellectual capital based information technology or employees performance, the highest score of human procurement dimension is selection and the lowest is recruitment dimension. 2) human development indicates low contribution on either intellectual capital or employees performance, the highest score of human development dimension is education and the lowest is training dimension (3) intellectual capital based information technology indicates moderate scores on employees performance level, the highest score of intellectual capital dimension is social capital and the lowest is structure capital dimension. (4) the highest score size of employees performance dimension based on employees perception is goal and the lowest is motive dimension.
Using Transformations to Predict and Smooth Time Series
Authors: Et. al. Jassim N Hussain, 
Published: April 2021

Time series has a leading position in statistical Analysis. Nowadays, many economic and industrial operations have been built based on time series. These operations include predicting the product demand variation, the future product prices oscillation, the stock storing control etc. This paper presents a study to show the effect of transformation and smoothing on the performance of the time series. The research results have shown a significant improvement in time-series operation can be noticed when the principles of transformation and smoothing are applied on time series.
An Improving Method for Performance of DNN using 2-bit Quantization
Authors: Et.al Sang Hyeok Kim 
Published: April 2021

Background/Objectives: Recently, interest in AI(Artificial Intelligence) has increased, and many studies are being conducted to enable AI to be used in embedded and mobile environments. Among them, quantization is one of the methods to reduce the size of the model, and most quantization of less than 8 bits cannot be implemented without additional hardware such as FPGA. With this in mind, in this paper, we propose two new algorithms that can implement 2bit quantization in software.
Methods/Statistical analysis: In this paper, we propose a packing operation that quantizes a weight consisting of 32-bit real values into 2 bits, stores four 2-bit quantization weights in one 8-bit memory, and a Masking Matrix Multiplication function that performs the calculation of the packed weight and input values. These functions operate in parallel in the GPU memory.
Findings: The quantization model using the above function showed about 16 times more memory saving and 4 times faster when comparing the operation with the existing 32bit model. Nevertheless, the DNN model showed an error of around 1% in learning using MNIST and HandWritten data, and the CNN model showed an error of around 1% in learning using EEG (Electroencephalograpy) data.
Improvements/Applications: The function used in this study is focused on the domain of DNN, and although extended to CNN, quantization could be performed only in the FC (Fully Connected) part. To apply to the convolution layer, an additional function is required, and it is necessary to check whether the difference in accuracy is small even in a more complex data set in the future.
Factors Affecting the Hardness Characteristics of Microstructures in Gas Carburized Chromium Alloy Steels
Authors: Et.al Chang-Yeol Oh 
Published: April 2021

We analyzed the factors affecting the gas carburizing microstructure of parts for constant velocity joints. Gas carburizing 0.15-0.20C1.13-1.14Cr chromium alloy steel used in automobile drive units is characterized by changing the properties of the carburizing layer in the depth direction.
The experimental conditions were set to enable field application. The components of the specimen to be used for gas carburization were analyzed by X-ray fluorescence. Changes in the mechanical properties of the carburized layer were analyzed by micro-hardness, microstructure, and carburizing content. The gas carburization cycle was selected based on the simulation results. The characteristics change before and after carburization of two samples with different carbon and chromium content were analyzed.
The carburization temperature that can be used for manufacturing automobile parts was 930°C, the carbon potential required for carburization was 0.90wt%, and the carbon potential required for diffusion was 0.75wt%. The inner and outer hardness values of the carburized layer satisfying the effective hardening depth of 550Hv were 400Hv-740Hv. In the case of 0.20C alloy steel, the effective hardening depth with a carburizing amount of 0.36wt% and a hardness of 550Hv was 1.467 mm. also in the case of 0.15C steel, its effective hardening depth was 0.746 mm. The simulation results for selecting the carburizing heat treatment conditions and the carbon change in the carburizing layer showed a similar trend. The carburizing structure related to hardness change was martensite. As a result of EPMA, SEM, and XRD analysis, the amount of carburized and the amount of martensite structure correlated, and the martensite increased as the amount of carburized increasing. As a result of EPMA analysis, the smaller the carburizing content the greater the depth of carburization.
We intend to proceed with optimization conditions for mass production in connection with wear resistance and fatigue. It is expected that these results will contribute to the improvement of durability of automobile driving parts.
Effectiveness Of Social Media On Youth In Relation To Their Social Life In Kerala
Authors: Et. al. Sheela K.D 
Published: April 2021

Social Networking has become a global phenomenon. Millions of people now use internet to engage on social networks. As in, there are more than 300 Social Networking Sites (SNS) and the total number of people using Social Networking Sites around the world is 1.73 billion according to 2013 Sensex. In few years, the usage of Social Networking Sites has surprisingly grown. These Social Networking Sites offers a wide variety of resources and services such as messaging, sharing of information, online marketing, blogging, connecting, sharing photos, audios, videos, group discussion, and distribution of applications. Consequently; especially youth, are the avid users of these sites. And, the usage of Social Networking Sites among the youth has increased rapidly throughout the world. Evidently, Social Networking Sites have become significant part of our lives. However, the study has been set forward to analyse the influence of Social Networking Sites on the interpersonal relationships of youth in Kerala state. Humans are social animals and Interpersonal Relationships are a very vital aspect of human existence. Hence, the impact of Social Networking Sites on interpersonal relationships needs to be examined through the lens of Sociology.
The Quality And Satisfaction Of Online Higher Education Environment
Authors: Et. al. Hon Tat, Huam 
Published: April 2021

The rapid growth of online higher education in any part of the world warrants the writing of this paper. Indeed, quality in higher education services is increasingly put in the spotlight in recent years. Service quality must be achieved and maintained at a certain level while responding to the needs of students. Today, online higher education providers should be accountable for the quality of education, particularly with regards to the issue of assuring the delivery of quality online educational programs that they provide. This paper highlights the link between service quality and student satisfaction in the context of online learning environment. Accordingly, the paper addresses the question: “Are service quality and student satisfaction associated in the online higher education?” Particularly, the aim of this paper is to develop a good understanding and insight into relevant previous studies and the trends that have emerged and to determine a rationale to elucidate the relationship between service quality and student satisfaction. Recommendations and conclusion are also explored.