Reviewerly/exHarmony huggingface dataset:
Reliability Aware Resource Distribution Framework using Dynamic Scaling in Cloud Computing

Cloud Computing gives resources to clients dependent on their necessities by utilizing a few resources Distribution plans. Reliability Aware Resource Distribution is the main significant problem of distributed computing technology. The aim of this manuscript is to give a solid resource Distribution framework for distributed technology while at the same time limiting the expense. The previous method implements on distribution of resources in cloud for the most part deal with price and resource usage though we deal with the most significant aspect, which is the reliability of cloud. The principle curiosity of our approach   is that we think about consistency as well as price while distributing proper services to the clients. The point of our method is to increase consistency while limiting the expense. The accessibility of Web requests impacted through Virtual systems aware physical areas through resource elasticity is a critical worry for clients as well as resource suppliers. In our manuscript, we propose a narrative processing framework to depict accessibility quality of new application in various hierarchical organized clouds. In such manner, we present a searching for resource distribution in cloud. In the meantime, we present an accessibility-based method to deal with investigate how and where to distribute computing resource by means of perpendicular and parallel scaling. We give a few presentation examinations to approve our methodology and recreation outcomes demonstrate that proposed methodology gives expanded consistency while distributing services to the clients.
The Machine Learning Based Phishing Detection Techniques as a Unary and Binary Classification Problem

in recent studies we have realized most of the phishing attacks the URLs are deployed on target user’s device to capture their sensitive, private and confidential information. In this context the rule based classification system is proposed to deal with the URL classification problem. Recently we have treated this URL classification problem as unary classification problem, now we have collected some of the legitimate URLs to prepare a complete dataset. Further the model is implemented with the help of decision tree algorithms i.e. C4.5 and CART. By using these supervised learning classifiers the experiments has been carried out. The experimental analysis has been carried out based on 50% phish tank data and 50% real world data with the manually assigned class labels. The performance in terms of accuracy demonstrates the performance of classification by using supervised learning and by defining URLs in both the labels. The experimental results confirm the higher detection rate as compared to previously offered methodology.
A Study on the Flow of the 4&lt;SUP&gt;th&lt;/SUP&gt; Industrial Revolution Technologies in Travel Agencies and Their Effect on Business Performance

The result of this study can be summarized as follows. First, as the result of empirically analyzing the causal relationship between the TAM and the platform, the causal relationship between ‘perceived ease of use’ and ‘trust and usefulness of information’ was adopted. Second, as the result of empirically analyzing the causal relationship between the TAM and the big data, all hypotheses between the sub factors of the perceived ease of use and big data were adopted. Third, as the result of empirically analyzing the causal relationship between the TAM and the business performance, the ‘perceived ease of use’ and ‘financial performance’ were adopted. Fourth, as the result of empirically analyzing the causal relationship between the platform and the business performance, the remaining hypotheses were adopted. Fifth, as the result of empirically analyzing the causal relationship between the big data and the business performance, the causal relationships between each variable and its sub variable were all rejected.
Implementation Dhampster Shafer Method to Diagnose Infected Patients Mers Cov Virus

Mers Cov virus or often referred to as Covid-19 is a very language virus that can damage the respiratory system in humans. This virus works very quickly and is able to develop and reproduce itself in the human body if the handling process is not fast. Various symptoms that can be caused by this virus attack are causing symptoms of fever, flu and shortness of breath so that it can cause people who have been infected with the virus to die. An expert system is a field of science in which a person's knowledge or expert will be stored in the system to make it easier to consult on the symptoms caused by the Mers Cov virus. The Dempster Shafer method is a method that works in the representation, combination or combination and distribution of uncertainty, where this theory has an institute nature according to the thinking pattern of an expert based on strong mathematics. This expert system is able to produce the same information as the decision of an expert who is able to diagnose someone whether the virus is infected with Mers Cov or not. With this expert system, it will make it easier to conduct consultations related to the symptoms of the mers cov virus virus The success rate of the Dhampster Shafer Method in diagnosing patients infected with Mers Cov Virus has a percentage of 0.8 or 8%.
HAND GESTURE RECOGNITION USING MACHINE LEARNING

In order to offer new possibilities to interact with machine and to design more natural and more intuitive interactions with computing machines, this research aims at the automatic interpretation of gestures based on computer vision. One such technique can be used for detecting and understanding various human gestures as it would make the human-machine communication effective.This could make the conventional input devices like touchscreens, mouse pad, and keyboards redundant. In this project we will design a hand gesture recognition system which will perform defined task. Here we are using classroom as an application. Instead of classroom any other applications can be also used.
Growing Entrepreneurship with Crypto Tokens

The advent of crypto tokens has enabled ventures to raise funding through initial coin offerings (ICOs). As of 2019, ventures worldwide have raised over $27 billion from token-based financing. Yet, crypto tokens’ developmental value to ventures is less understood but of significant interest to entrepreneurs and policymakers. In this study, we examine the developmental value of crypto tokens through the lens of token liquidity obtained on secondary market exchanges. Specifically, we study how exchange-listed tokens affect a venture’s growth toward application development. We study a sample of 1,285 ventures that have collectively raised $15.6 billion in ICO funding and committed 28.4 million code updates to application development. We find that ventures with exchange-listed tokens experienced more tangible growth relative to counterpart ventures without tokens listed on exchanges. The mechanism centers on demand discovery and price change that facilitate application development. Heterogeneous impacts across the cryptocurrency market waves and regulatory stances of countries further confirm these mechanisms. Finally, exchange listing is positively associated with project survival and popularity in application development, indicating that access to token liquidity has important implications for venture growth.
Developing an Integrated Model of Learning Materials of Sociolinguistics and the Qur'anic Moral Values

This research was conducted as an effort to release the research of sociolinguistics from the shackles of dichotomous paradigm, and present new knowledge on the Qur’anic moral values and their relevance for the learning materials of sociolinguistics. The research aims to develop an integrated model of learning materials of sociolinguistics and the Qur’anic moral values and determine the validity, practicality, and effectiveness of the designed model. The Analysis, Design, Development, Implementation, and Evaluation (ADDIE) model approach was used to explore an integrated model of learning materials of sociolinguistics and the Qur’anic moral values. The products development result and their validity value encompassing 1) Book model which explains the concept of an integrated model that is named as Qur’anic moral value model (Q-move Model) with the validity value was 88, 46 (very high); 2) Lecturer’s guidance book in which its’ validity value achieving 85, 19 (very high); and 3) Students’ book which achieved the score of 86,80 (very high). It was proved that the integrated model that has been developed was very practical with the average value of K=0,83 (very high), and could significantly increase students’ competency in comprehending the integration between the learning materials of sociolinguistics and the Qur’anic moral values with a sig value of 0.00 < 0.05.  It is concluded that the developed model proved to be valid, practical, and effective. This research implies that the Q-move model is feasible to be applied in teaching sociolinguistics which integrates between the learning materials of sociolinguistics and the Qur’anic moral values.
한국학휘보 『Korean Repository』의 한국어와 한국어 학습 관련 기사 연구

Korean Repository is an English magazine that had been published for six years at the end of 19th century in Korea. Although it was issued for a short period of time, it contained a vivid record and research on Koreas politics, economy, language and culture foreigners witnessed at the time. Most authors of the magazine were western protestant missionaries, including some western diplomats. Throughout the magazine, we can find research outcomes on the issues of Korean language and Korean language education such as the origin of Korean language and Korean Alphabet, translation style in Korean, Korean proverbs, the grammar structures of Korean, how to use of Korean words sentences and etc. Foreign contributors put huge efforts to develop the romanization system of Korean sounds and proper transcription method from English to Korean. Some of western protestant missionaries suggested that Koreans should introduce space and comma in their Korean texts. Although their initial motivation for these used was religious, they seemed to recognize its beneficial effects to Koreans. Some authors wrote the articles on how to overcome the difficulties of learning Korean, setting up their own Korean grammar rules through their exhaustive examination and comparison. There were a few hundreds of copies for each issue in Korean Repository at the time. Its readers included western people and a few Koreans based in Korea as well as people in China and Japan. Considering this, the magazines seemed to play a role as a medium to discuss Korean language and culture among East Asian countries at the end of 19th century.
PEMBELAJARAN MENULIS TEKS ULASAN MENGGUNAKAN MODEL DISCOVERY LEARNING BERRBANTUAN MEDIA AUDIOVISUAL PADA SISWA KELAS VIII

This research is motivated by the problem of learning to write which is considered difficult by grade VIII students, especially in writing text reviews, which causes students to be lazy in writing activities. Therefore, the researcher chose discovery learning model and audiovisual media as an alternative to solve this problem. This study aims to 1) describe the planning / scenario for the implementation of learning to write review texts using the discovery learning model, 2) describe the responses of teachers and students in learning review texts using the discovery learning model, 3) determine the difficulties faced by students in learning to write review texts. using discovery learning models. The method used in this research is a qualitative descriptive method. The objects used in this study were all students of class VIII D SMP Darul Falah Cihampelas. From the research results, it shows that the student's response to the learning process of writing review text on positive statements totaling 10 statements received the answer an average percentage of 77.7%, while negative statements totaling 10 statements got the answer  agree with an average of 22.3%. This, of course, greatly affects student learning progress. The results of the student's writing ability increased seen from the percentage results, namely 71.7% of students scored above the average. Meanwhile, 28.3% of students scored below average. This happens because students have difficulty producing text reviews on the aspects of structure, language and spelling. In addition, there are still many students who are less able to make effective sentences, good paragraphs, use punctuation and capital letters .
Automatic Annotation of Models for Object Classification in Real Time Object Detection

The times of manual labour are changing as automation grows larger and larger by the day. Self-driving vehicles being one of the more well known examples of automation (the vehicles in this thesis ...
HIGHER EDUCATION TURNAROUND SUPPORTING DIGITAL TRANSFORMATION

Since years the education system was about to change.Specifically, the focus with this paper is on Germany where the schools and most universities are public.Rules are related to the past, skills like deep functional knowledge, topics memorised in detail and repetitive methods have been on top of the educational syllabus.After the trends of globalisation, the introduction of the term 'Industry 4.0' provocative production and automation.All of a sudden industry has been challenged globally with new skills and requirements asking the education system to support with a more profound skills of graduates being 'digital natives' per definition.To change a system takes time, infrastructure and advanced training.(cf.Catalano, 2019, p.25f) What if there is no time for this transformation?In the beginning of 2020 the Pandemic Covid-19 hit the world and all schools and universities been shut for people's safety.It started as a break but after a while people figured even arguing about the quality of online education versus in-person learning did not help.Remote education was the only way to get in contact with students and pure self-learning needed to be enriched by more motivating methods.All of a sudden, all parties had new roles.Some really felt overstrained and had very little experience.To start a mature semester in autumn, and moving from mainly remotely to an at least hybrid format for the rest of the year, teachers extended their knowledge of digital tools and exchanged it.Over the year faculty increased comfort and some approaches seems to remain even if all teaching could be in presence.(cf.Boivin et al., 2021, p.27ff)Not only the education system was challenged during the pandemic in 2020/21, the entire world and business world had to adapt.Comparing only with the new business requirements of production companies, shows that a lot of the skills the students learned in remote sessions will remain in business situations (e.g.video conferencing, online presentations, self-motivated learning).In addition, the speed of change increased and with the penetration of digital transformation everywhere, now is the time to change the main structure of curriculars adding more profound skill sets in human interaction, practical adaptation of skills versus just having knowledge building new characters for life-long learning.(cf.Meilleur, 2018) The questions are remaining; 'What is the role of online-education past the pandemic?' 'What could be a new setting in education taking the learnings from the pandemic Covid-19 to map new requirements from the industry and for future jobs?'The paper will not be able to provide one clear answer but will provide a good start of research.
Library Guides: MSU Library Services for Faculty: Remote/Online Teaching Help

Discover the services the library provides in research & publication, teaching & learning, and technology services.
Change of Public Sphere and Forms of Communication with Virtual Reality: The Case of Vtime From Turkey

Today, the development of technology has brought about the creation of new environments in the field of communication. In this context, it can be said that virtual technologies have started to be used in many areas from education to health, from sports to cinema. Virtual reality is a process in which the real and the unreal are fictionalized and brought together through virtually created place. In the virtual reality environment, it can be said that individuals experience the feeling of being there. In this context, virtual reality platforms, which can make the sense of reality feel close, especially in situations where physical proximity is not possible, is one of the important steps in the field of communication. This study aims to investigate the effects of technology in the field of communication by realizing a communication experience via vTime, a virtual reality platform created by a UK-based team. In this direction, the potential of virtual reality environments to create a public sphere is one of the points emphasized by the research. In the study, 5 Turkish people who were brought together on the vTime virtual reality platform were included in a conversation with virtual reality tools. These people were asked questions about their instantaneous experiences in the virtual reality environment and their thoughts on this technology by interview method. By analyzing the answers given, the possibilities of using virtual reality platforms as a communication tool today and in the near future were tried to be revealed.
HEMATOCRIT AND WHITE BLOOD CELL COUNT VALUES OF PHILIPPINE NATIVE GOATS RAISED IN LOS BAÑOS, LAGUNA

The study was conducted to determine reference baseline data regarding the hematocrit (HCT) and total and differential white blood cell (WBC) counts of Philippine native goats. A retrospective study between October 2017 and December 2019 was conducted using medical records of six male and 24 female clinically healthy Philippine native goats. Mean, standard deviation (SD), and p values were computed for the HCT and WBC count (total and differential). Results showed that the mean HCT and total and differential WBC counts of Philippine native goats did not significantly vary with reported values for other goat breeds (p>0.05). Goats older than one year had significantly higher neutrophil count than animals less than or equal to one year of age (p<0.05). Female goats had significantly higher HCT, total WBC, neutrophil, and monocyte counts than male goats (p<0.05). Higher neutrophil and lower lymphocyte counts had been recorded in animals during the rainy season (p<0.05). The results obtained are the first reported values of HCT and WBC counts in Philippine native goats. These preliminary findings can be used for further studies to determine reference hematologic values of Philippine native goats that will help veterinarians monitor the health status of these locally raised small ruminants.
Learning to Estimate Search Progress Using Sequence of States

Many problems of interest can be solved using heuristic search algorithms. When solving a heuristic search problem, we are often interested in estimating search progress, that is, how much longer until we have a solution. Previous work on search progress estimation derived formulas based on some relevant features that can be observed from the behavior of the search algorithm. In this paper, rather than manually deriving such formulas we leverage machine learning to learn more accurate search progress predictors automatically. We train a Long Short-Term Memory (LSTM) network, which takes as input sequences of nodes expanded by the search algorithm, and predicts how far along with the search we are. Importantly, our approach still treats the search algorithm as a black box and does not look into the contents of search nodes. An empirical evaluation shows our technique outperforms previous search progress estimation techniques.
Mr George Chapman, Dr Rod Boswell and Professor Ian Ross signing contract for the development of a micro-chip

Research School of Physical Sciences, Plasma Research Laboratory - Ms. Cathy Gillespie, Mr. Peter Lloyd, Mr. Steven Hyde, Mr. Kevin Brennan, Dr. Sydney Hamberger, Dr. Les Sharp, Mr. George Chapman, Dr. Rodney William (Rod) Boswell, Prof. Ian Ross, Mr. John Shelton, Prof. Peter Karmel, Prof. Ted Ringwood, Dr. D. G. Walker, Mr. Warwick Williams, Prof. John Carver & others
Template Matching Based Probabilistic Optical Character Recognition for Urdu Nastaliq Script

This paper presents a technique for optical recognition of Urdu characters using template matching based on a probabilistic N-Gram language model. Dataset used has the collection of both printed and typed text. This model is able to perform three types of segmentations including line, ligature and character using horizontal projection, connected component labeling, corners and pointers techniques, respectively. A separate stochastic lexicon is built from a collected corpus, which contains the probability values of grams. By using template matching and the N-Gram language model, our study predicts complete segmented words with the promising result, particularly in case of bigrams. It outperforms three out of four existing models with an accuracy rate of 97.33%. Results achieved on our test dataset are encouraging in one perspective but provide direction to work for further improvement in this model.
ELECTRONIC VOTING SYSTEM SECURITY BASED ON MULTICHAIN PLATFORM

Crypto currency, and its underlying technologies, has been gaining popularity for transaction management beyond financial transactions. Transaction information is maintained in the block chain, which can be used to audit the integrity of the transaction. The focus on this paper is the potential availability of block-chaintechnology of other transactional uses. Block-chain is one of the most stable open ledgers that preserves transaction information, and is difficult to forge. Since the information stored in block-chain is not related to personally identifiable information, it has the characteristics of anonymity. Also, the block-chain allows for transparent transaction verification since all information in the block-chain is open to the public. These characteristics are the same as the requirements for a voting system. That is, strong robustness, anonymity, and transparency. In this paper, we propose an electronic voting system as an application of block chain, and describe block-chain based voting at a national level through examples
Urgensi Mengembangkan Literasi Informasi dan Literasi Budaya Pada Anak Usia Dini

This study discusses the urgency of developing Information Literacy and Cultural Literacy in Early Childhood in the context of the application of the National Literacy Movement. The purpose of this paper is to photograph the concept and the extent of the urgency of the introduction of information literacy skills and cultural literacy in early childhood in supporting the application of the National Literacy Movement. Review the role and internalization of daily activities and teaching and learning activities in the classroom in the context of information literacy and cultural literacy. This research uses a qualitative research approach with literature study design and conceptual analysis. The results of this study indicate that there is a need for early childhood recognition and planting in relation to the ability of information literacy and cultural literacy in responding to the development of global society and multiculturalism. From this study it was also revealed that there was a need and attention from stakeholders to facilitate and reduce the concept of information literacy and cultural literacy for young children in a more complete grand design and technical implementation in the community and schools.