Reviewerly/exHarmony huggingface dataset:
Post-Nominal Modifier in English Job Advertisements in Jobstreet.com

The language features of job advertisements are in the form of simple sentences and complex nominal groups so that a job advertisement can cause different perceptions between one reader and another. Therefore, carefulness in understanding job advertisements is a matter of urgency. One characteristic of a complex nominal group is the use of a post-nominal modifier which functions to give a clear meaning to the nominal group itself. This study examines the use of post-nominal modifiers which aim to identify the constituent elements and types of circumstantial elements in post-nominal modifiers contained in English language job advertisements. The job advertisements were obtained from one of the largest job market websites in Indonesia, jobstreet.com. This study used descriptive qualitative method through the Systemic Functional Linguistics (SFL) approach. From this study, it was found that all post-nominal modifiers consisted of prepositional phrases with the preposition "in" (60%), "of" (14.3%), "with" (11.4%), "As" (4.3%), and "at", "for", and "to" (1.4%). Meanwhile, the types of circumstantial elements found in the post-nominal modifier were the type of matter (80%), manner-means category (7.1%), accompaniment-comitative category (4.3%), location- place category (4.3%), and the role-guise category (4.3%).
Multi-Core Aware Virtual Machine Placement for IaaS Cloud DataCenters

Cloud computing provides elastic computational resources that have been widely deployed in data centres to provide Infrastructure as a Service (IaaS).Virtualization is a key technology in cloud computing for resource sharing.In the virtualization technology the most challenging issue is Virtual Machine Placement Problem (VMPP).Virtual Machine Placement is a significant process executed as a branch of VM migration, which involves placing a Virtual Machine (VM) on a suitable physical machine (PM) in order to improve the resource utilization efficiently.Many existing VMP algorithms considered the overall CPU capacity of a PM, without considering the number of cores available in a PM and core-CPU capacity of a PM.i.e.VMs are mapped onto PMs, if the CPU capacity of the VM is less than or equal to the total CPU capacity of a PM.Such an allocation results in core overload which leads to performance degradation and violation of Service Level Agreement.However, in the real scenario, PM and VM consists of multiple cores.So, to place VM on PM, the core-CPU capacity of a VM must be mapped to a core-CPU capacity of a PM.i.e., the core of a VM should be mapped to a core of a PM.In this paper, we have proposed a Multi-Core Aware Virtual Machine Placement Algorithm (MCA-VMP).In MCA-VMP, the number of cores available in a PM and core-CPU capacity of a PM is considered instead of total CPU capacity of a PM.We used, Google Cluster Traces to generate the virtual machine configurations.Based on Google Cluster Traces the dataset is generated.Monte Carlo Simulation method is used to produce Google Cloud Jobs (GoCJ).Our simulation results shows that MCA-VMP is efficient than traditional non-Core Aware VMP algorithms.Our proposed algorithm MCA-VMP improves the performance of a DataCenter in terms of resource utilization, PM overload and resource wastage.
A real time adaptive multiresolution adaptive Wiener filter based on adaptive neuro-fuzzy inference system and fuzzy evaluation

In this paper, a real-time denoising filter based on modelling of stable hybrid models is presented. The hybrid models are composed of the shearlet filter and the adaptive Wiener filter in different forms. The optimization of various models is accomplished by the genetic algorithm. Next, regarding the significant relationship between Optimal models and input images, changing the structure of Optimal models for image denoising is modelled by the ANFIS. The eight hundred digital images are used as train images. For eight hundred training images, Sixty seven models are found. For integrated evaluation, the amounts of image attributes such as Peak Signal to Noise Ratio, Signal to Noise Ratio, Structural Similarity Index, Mean Absolute Error and Image Quality Assessment are evaluated by the Fuzzy deduction system. Finally, for the features of a sample noisy image as test data, the proposed denoising model of ANFIS is compared with wavelet filter in 2 and 4 level , Fast bilateral filter, TV-L1, Median, shearlet filter and the adaptive Wiener filter. In addition, run time of proposed method are evaluated. Experiments show that the proposed method has better performance than others.
Prospects For The Use Of Media Technologies In Future Educators’ Training

The article is devoted to the study of the prospects for the use of media technologies in the professional training of teaching staff. The methodological basis of the study was the main provisions of media education and education informatization. When analyzing the problem, such methods as analysis and synthesis were used, as well as systemic and structural-functional approaches. An analysis of the problem of the use of media technologies in the training of future educators showed that the problem of the use of media technologies is relevant both for society as a whole and for the education sector. However, the preparation of future educators for the use of media technologies in professional activities is not given due attention, the prospects for the use of media technologies in the future professional activities of educators have not been sufficiently studied. The study showed that the use of media technologies by an educator should be carried out both in educational activities, and in research and educational activities. Improving the media culture of students-future educators should be one of the important areas of their professional training. Media culture is an important component of the professionalism of a modern educator, which is reflected in the system of assessment. The information and educational space of a pedagogical university should be saturated with media content, which should be in demand during the entire learning process of students.
ENERAPAN MODEL PROJECT BASED LEARNING DALAM MENULIS TEKS NEGOSIASI PADA PERKULIAHAN PENGEMBANGAN KETERAMPILAN MENULIS

APPLICATION OF PROJECT BASED LEARNING MODEL IN WRITING NEGOTIATION TEXT IN DEVELOPMENT OF WRITING SKILLS LECTUREAbstract. This research is based on the application of the Project Based Learning (PjBL) model on negotiating text learning. Through this model, students are asked to work on negotiating video projects and write negotiating texts. This study aims to describe: (1) the development of Project Based Learning (PjBL) models in negotiating text learning, (2) the ability to make negotiating videos, and (3) the ability to write negotiating texts of fourth semester students of the Indonesian Language and Literature Education Study Program, FKIP, Pakuan University, Bogor. The ability of students to make videos is assessed based on the characteristics of the video as a learning medium. The videos collected were eight videos according to the group formed. Characteristics assessed in video media include: (1) message clarity, (2) content representation, (3) visualization with media, 4) uses a high quality resolution, (5) and can be used classically or individually. From the 8 student groups that have been formed, 6 of them chose and made a video negotiation with electronic topics with a percentage of 75% and 2 groups of students choose and make a video negotiation with automotive topics with a percentage of 25%. Students ability to write negotiating text has an average of 84.61 which falls into good category. From 26 students, 9 of them included in the excellent category with a percentage of 34.61%, 12 of them included in the good category with a percentage of 46.15%, and 5 of them included in the plenty category with a percentage of 19.24%. This shows the ability of students to write negotiating texts based on the negotiation videos they have made is good.
Patent Trends in Higher Education of India: A Study on Indian Central Universities

This study is based on the several patents registered/filled/published/granted by the Indian Central Universities in Indian Patent Office as well as in other countries, e.g. USA, China and Japan. It covered 20 out of 49 central universities, who published/granted patents (min three) in the last decade (2009–2018). Accordingly, the study is restricted to 20 universities for analyzing the trends in terms of registry of patents in national and global databases, contribution towards different research areas and role of patent as an indicator for ranking of any institutes. Moreover, this study focused on the growth rate of patent published and patent granted by the universities in the last decade, the necessity of a single database for the academic community of India. This patent is being used by different ranking agencies of India, i.e. India Rankings (NIRF), Atal Ranking of Institutions on Innovation Achievements (ARIIA) and accreditation body such as NAAC, etc. Currently, there is no dedicated database of the patent which covers only patents of academic institutions.
Prediction of Acidity Level of Avomango (<i>Gadung Klonal</i> 21) Using Local Polynomial Estimator

The acidity level is one of the parameters that determine fruit maturity.Mature avomango has a low acidity level, indicated by its titratable acidity value.Non-destructive analysis using a near infrared (NIR) spectroscopy tool produces wavelength data that is used as a predictor variable with a titratable acidity value as a response variable.This study aims to predict the acidity level (titratable acidity) of avomangoes using nonparametric regression based on local linear estimators and compare them with the prediction using the parametric regression approach.This study uses 100 mango data as samples, which are divided into 80 into sample data for the training process and 20 out sample data for the prediction process.The results showed that the second degree local polynomial estimator gives the best results.From the 5 iterations, the 4th iteration data gives the mean square error value of prediction using local polynomial estimator and global polynomial regression method is 0.0651and 0.0733, respectively.The mean absolute percentage error of prediction using local polynomial estimators and global polynomial regression is 39.6411 and 43.3676, respectively.It means that the nonparametric regression based on local polynomial estimator provides better predictive results compared to the parametric regression approach.
Penguasaan Instrument Artikel Bisnis dan Teknis Publikasi Ilmiah pada Jurnal Bereputasi Internasional

This science and technology application activity aims to improve the skills (skills) Lecturers of in conducting scientific research and publications. As time changes, lecturers are required the Department of Commerce in the Lhokseumawe State Polytechnic to be more productive and innovative to be more productive in conducting scientific research and publications in SINTA accredited national journals or reputable international journals. Many lecturers do not yet know the technique of writing articles must be in accordance with the template, mendeley citations, the use of graphs and diagrams, and other tools such as designing drawings and flowcharts. In addition, the lecturer also did not know yet the technique of choosing a valid SJR journal index on the Scimago journal & country rank link according to the field of study and the destination country. Including with the basic restrictions that must be considered by the author. The training was attended by 13 lecturers from the Department of Commerce of the Lhokseumawe State Polytechnic. The method of implementing service includes the method of oration and demonstration. Partners are guided directly by the instructor in the integrated workshop event. The results of the activity showed that almost all participants (lecturers) were able to search for reputable international journals free from predator categories. In addition, partners can also operate online citation techniques and template and cite press techniques. Some constraints appear to be lack of understanding of business research methods, prospects and research opportunities, and some of them appear to still have limited ability to use onlinebased information systems. This community service activity strongly supports the aims and objectives of Law Number 12 of 2012 concerning Higher Education and the Ministry of Research and Technology Regulation No. 18 of 2018 concerning Research.
Library Research Guides: Government Information: Databases by Topic

Government Information, Maps and Microform Services (GIMMS) in Wells Library is a congressionally designated depository for U.S. Government documents.
Criteria for improving school’s facilities from students’ point of view

The benefits of school improvement are a growing topic of interest. This has raised the expectation of quality in all schools across the world. School improvements may contribute toward increased employment opportunities. Therefore, it is important for schools to provide favorable learning environment to increase the quality of students’ outcomes. The objective of this article is to identify the best areas of improvement for La Salle High School in Mexico City. For this purpose, we asked students to express their opinion what the most important criteria are from a set of seven main areas. The results indicate that students give the highest priority to security system and technological improvements inside the classrooms. In addition, students see necessity of improvements in teaching dynamics and in the transmission of the knowledge. Regarding this area, female students stress the necessity to increase the respect inside the classrooms.
Utilize Machine Learning Methods to Detect Plaintext Passwords

Every company is a target today, no matter the type of business it does. Hackers and cybercriminals are after data which they can monetize in many ways. Being proactive and have a defensive and protective plan in place such as evaluating and assessing IT security is a great recipe for avoiding data breaches and consequently, business disasters. Passwords are the most popular authentication method, mainly because they are easy to implement, require no special hardware or software, and are familiar to users and developers. Unfortunately, most users store their sensitive information or credentials in plain-text that might be accessible to attackers. Since the information is not encrypted and stored or transferred in cleartext, attackers will be able to read it easily. Storing a plaintext password in a configuration file allows anyone who can read the file access to the password-protected resource. Developers sometimes believe that they cannot defend the application from someone who has access to the configuration, but this attitude makes an attacker’s job easier. Good password management guidelines require that a password must never be stored in plaintext.The question is why not utilizing a machine learning platform that can be trained to search text in a computer resource, detect a string of plaintext characters, and analyze the string of characters to predict or detect a plaintext password on a computer resource asset. Since plaintext passwords can be stored anywhere on a computer network, including on a computer resource asset, such as, for example, a file (for example, a configuration file), a router, a switch, a computer, a server, a database or source code, the solution can be arranged to target computer resource assets on the network and search those computer resource assets. The machine will be able to detect a plaintext password in a character string by analyzing plaintext character strings for common password complexity, such as, for example, including at least one uppercase letter, lowercase letter, number, special character, and text length (for example, minimum of eight characters).  Then check the similarity of the character string against a database comprising passwords, including, for example, passwords that were previously found or identified by the solution, or passwords that were input or loaded into the database from a list, table, record, file, or a computer resource that can input passwords to the database.  Also, it will predict a level of certainty that a character string includes a password and output a confidence score based on the predicted level of certainty. Finally, it will categorize the confidence score in any number of prediction certainty levels, including, for example, three levels – high, medium, or low.
The Study on the Description of the Dokdo Issue on Japanese Middle School History Textbooks Authorized in 2020

This study has analyzed “the Description of Dokdo on Japanese Middle School History Textbooks” authorized by the Ministry of Education, Culture, Sports, Science and Technology (MEXT) in 2020. For this purpose, this study has compared Japanese Middle School History Textbooks authorized in 2015 and 2020. This study demonstrates four main characteristics of the Description of Dokdo on Japanese Middle School History Textbooks authorized in 2020. First, the History Textbooks authorized in 2020 fully reflected the contents of Commentary to the Curriculum Guidelines 2017. Second, the use of visual materials such as photos and maps on Dokdo became prominent in the new textbooks. Third, the History Textbook published by the Tokyo Syoseki which showed high adoption rate has dramatically increased the connection between Dokdo issue and Japan's historic affairs. Fourth, the history textbook published by Manabisya poorly reflected the Curriculum Guidelines 2017 upon Dokdo issue, compared to other history textbooks.
Building Empathy and Developing Instructional Design Experience and Skills

This single case study involves the authors’ participation and observation of a massive open online course. To help instructional designers (IDs) develop open education resources for adults attempting to pass a United States high school equivalency exam, we constructed six personas that helped IDs put themselves in the users’ shoes. We begin by providing an overview of the scholarship that connects empathy, empathic design, persona construction, and meaning-making. After presenting our case study methodology and how we constructed six authentic personas, we present eight themes that demonstrate how IDs used the personas to build empathy for users and to develop instructional design skills and experience.
The Role of Big Data Quality and Information Analytics in Indonesia Higher Education Sector during Covid-19 Pandemic

The COVID-19 pandemic has changed our habits, both in work, worship, and study.Since beginning, the health and safety of students, lecturers and employees are the Ministry of Education and Culture of Indonesia's main concern.In the environment of higher education (HE) it turns out that in a short time there is a transformation in the use of technology for learning online.Apart from the various obstacles faced by lecturers and students, it turns out that the adaptability of lecturers and student very fast.Online learning is encouraging independent learning ability, as an essential competency in this 21 st century.Creativity and productivity of lecturers and students also did not decrease.Thousands of technology innovation related to education and health is produced and created by universities.Seeds creativity and innovation in higher education precisely sprout in this global pandemic.This paper presents the current role and advantages of big data and information analytic in Indonesia HE institutions.
Strategies for Deriving Strategic Products to Enter the Dementia Industry on SMEs-Focused on AHP Analysis

Many SMEs are interested in entering the dementia industry as the national dementia responsibility system begins in earnest. However, it is ambiguous about which technology and field to enter, and accordingly, it is impossible to make a quick judgment and misses the time to enter the market. Therefore, the purpose of this study is to provide a simple but clear information to many SMEs in this situation, which products and related technologies will be able to help product development and market entry in the dementia prevention and diagnosis technology market more easily. In this regard, I would like to suggest the direction through hierarchical analysis (AHP) through conducting with a group of experts who can make professional judgments about the development of dementia medical technology, including the four-year university senior welfare department, nurses, directors and directors of long-term care institutions, medical device workers and experts' opinions on what sectors SMEs can most effectively apply to product development to enter the dementia market.
Data Rescue Processing Guide: A Practical Guide to Processing Preservation-Ready Data from Research Data Collections

This guide is the product of research conducted under a Non-Assistance Cooperative Agreement #58-8260-6-003 between the University of Maryland and the USDA, ARS, National Agricultural Library with funding provided by the USDA, ARS, Office of National Programs.
우리나라 중학교 독도 교육의 현황과 과제

Dokdo is our own territory that was captured by Japan during the Russo-Japanese War and reclaimed after independence. However, Japan continues to insist on sovereignty over Dokdo by publishing “Takeshima- Day” and publishing “Teaching Instructions” that marked Dokdo as Japanese territory and textbooks. In addition, recently, even in Korea, the authors of the so-called led by professors of famous universities have been blatantly claiming that Dokdo is Japanese territory. Even in order to actively respond to this false claim to Japan's claim to Dokdo and the misrecognition of history by some intellectuals in Korea, who are embracing the logic of the Japanese right-wing, Dokdo education at the school site is very important. In particular, it is necessary to educate teenagers who will lead the future society that Dokdo is not just a sovereignty issue, but a matter of past history in Korea and Japan. In this sense, rethinking how to teach and learn Dokdo at the current school site is meaningful for resolving conflicts with Japan over Dokdo and developing the capacity for democratic citizens for our students who need to live as members of the international community. do. Based on this problem recognition, we examine the composition and system of the middle school curriculum and textbooks related to Dokdo, and then review how Dokdo education is being conducted in the middle school according to the Dokdo education policy of the Ministry of Education and the Metropolitan/Do Office of Education. I would like to make some educational suggestions and suggestions. However, it has not progressed to what extent Dokdo's educational activities at school sites have changed students' history and territorial views, and whether they can effectively respond to the Japanese aggression of Dokdo. I intend to leave this part as a research project in the future.