Reviewerly/exHarmony huggingface dataset:
Reno-Inst: An ontology to support renovation projects planning and renovation products installation

Abstract While the use of semantic models has been explored in different areas of the Architecture, Engineering and Construction (AEC) industry to map and formalize knowledge and support different tasks, building renovation seems to be a neglected area in this field. Therefore, this paper presents the Renovation-Installation (Reno-Inst) ontology, which maps knowledge from the renovation domain considering different requirements, constraints, and other elements related to the installation of common renovation products such as windows, thermal insulation panels, and heat radiators. The development of the Reno-Inst ontology relies on an approach combining input from experts and knowledge from related engineering documents. The verification and validation process includes a content evaluation workshop with experts, a verification design stage, and the analysis and implementation of a real case study. The paper provides another example of the power of ontologies as a method for mapping and representing knowledge, gathering, and retrieving relevant information. Particularly, renovation projects encounter diverse challenges that lead to cost and schedule overruns, making their performance typically low. Therefore, the proposed Reno-Inst ontology provides a basis from which new applications can be developed, tested, and deployed to support improvements in the building renovation field, especially in the planning and execution of renovation activities.
The Effect of Information Signs and Laout Position of Print Advertisement on Purchase Behavior - Moderating Effect of Brand Awareness and Price Rang

The purpose of this research is to discover the consumers’ buying behavior influence of information symbols in print advertisements, and also added the brand awareness and price range of the products as the interference, and to find out whether to increase or decrease the information symbols and page layout on purchasing behavior influence. A 3C electrical appliance retail channel in Taiwan has been applied as the research object, concentrating on the advertisement DM during the four promotions in 2013 and the sales volume. There were 1,196 product information and 136 3C electrical appliance brands. According to the variance analysis, the results indicated: First, some information symbols included the positive and negative effects on purchasing behavior; Second, overall, the interference effects only influenced low to medium brand awareness and low price range. In sum, the research generated both theoretical and practical implications and also provided future research advice.Keywords: DM; Information Signs; Layout Position; Purchase Behavior; Brand Awareness; Price Range.
LibGuides: Course Clearances For Instructors: Exams and Copyright

Navigate copyright requirements related to the use of resources in online and campus classrooms
Rancang Bangun Portal Website untuk Perguruan Tinggi Provinsi Riau

Riau Province has 80 active universities spread across several regions. Some have official websites that provide news about achievements, information, and activities carried out on campus. Based on the results of the distributed questionnaires, it was found that 54.4% of them had difficulty finding news and news websites from certain colleges. To solve this problem, a website portal was built which will accommodate news on universities in Riau Province. The website portal will be built using a grabbing technique, which is taking news content from the original college website by using the URL. The content taken is in the form of title, description, date, and news image. News that has been grabbed are grouped into several categories. The classification process is carried out using text mining and the naive Bayes classifier algorithm through headlines. News headlines are processed using text mining, then the odds are calculated in each category. From the opportunity value, the highest value is taken from the overall opportunity category. The news is put into the category with the highest odds score. News that has been successfully classified will be displayed on the website portal. The system has been tested functionality and got an accuracy of 78.26%. Based on these results, it can be concluded that the system built can help students find news that has been categorized from each university website in Riau Province.Keywords: News, High School, Grabbing Method, Text Mining, Naive Bayes Classifier
Aplikasi Pengenalan Romanisasi Tulisan Hangeul Menggunakan Metode Learning Vector Quantization

The development of technology makes it easier for humans to access and receive information from various things. One that we can access is the culture of various countries, for example, South Korea. Talking about K-Pop, it also talks about Korean culture and language. Korean language is a language that uses characters in writing, this script is called hangeul. With so many people learning Korean and the large number of Indonesian tourists coming to Korea, a technology is needed that can provide information to users about Korean. In this study, an application was made that used one of the methods of implementing Artificial Neural Networks, namely Learning Vector Quantization to recognize hangeul writing patterns. Based on the test results using the k-Vold Cross Validation, the overall accuracy is 57%. In addition, the test uses usability testing with 5 indicators, namely Learnability, efficiency, memorability, errors and satisfaction, with an average rating of 93.3%. This shows that the application can function according to its use and makes it easier for users to recognize hangeul writing patterns along with their romanizations and translations. This application is also easy to learn, understand and use.Keywords: Pattern Introduction, Hangeul, Romanization, Artificial Neural Network, Learning Vector Quantization
Human Rights in Sub Saharan Africa: Understanding the Influence Of Militarisation, Governance and Democracy

This study examined the impact of militarisation, governance, and democracy on human rights in sub-Saharan Africa (SSA) for the period 2002 to 2018. The study employed the instrumental variable Fixed Effects model to account for simultaneity/reverse causality, and country-specific unobservable heterogeneity as well as the instrumental variable quantile regression with Fixed Effects to account for existing levels of human rights in SSA. Based on the Fixed Effects results, it is revealed that militarisation significantly increases human rights violation in the region, while governance and democracy significantly improve human rights. Results from the quantile regression show that (1) the negative impact of militarisation on human rights is observable across all quantiles, (2) the positive impact of the control of corruption on human rights is more pronounced in countries where the existing level of human rights is high, while political stability and rule of law exerts stronger impact on human rights in countries where the existing level of human rights are lower, (3) the positive impact of democracy on human rights is stronger in countries where the existing level of human rights is high. Policy recommendations based on these findings are discussed.
On the Applications of Discrete Mathematics to A.I. and Physics

We present a new model of artificial intelligence and a new model of physics, each rooted in information theory, computer theory, and combinatorics. Chapter II covers the standard topics in machine learning and deep learning, including image processing, data classification, and function prediction. More advanced topics include vectorized image processing algorithms that in turn allow for video classification, including real-time video classification, and real-time function prediction. Chapter III introduces a new model of physics, including time-dilation, gravity, charge, and magnetism, as well as selected topics from quantum mechanics, together presenting a new and unified model of physics.All of the algorithms referenced in the text are available on my ResearchGate Homepage, as implemented in Octave / Matlab.
Pengembangan Bahan Ajar Penyelesaian Lingkar Kerung Lengan sebagai Media Pembelajaran pada Mata Kuliah Teknologi Busana Fakultas Pariwisata dan Perhotelan Universitas Negeri Padang

The background of this research is to find the problems solution of students in the subject of fashion technology of the material completion concave arm circumference, which references the concave arm circumference settlement material is still limited. The purpose of this study is to produce a medium of learning in the form of a valid teaching materials and practical. This research is a Research and Development (R & D). This research procedure using the 4D model which consists of four stage: stage of definition (define), stage of design (design), stage of development (develop) and stage dissemination (disseminate). However, due to the limitations of the researchers the deployment stage could not be implemente. The result obtained based on test validity and practicalities of the faculty adviser courses consist of small groups of test and test the practicalities of the practicalities of large groups. Validator consisting of media experts and validator validator matter experts, amounting to 4 people. Based on the validity of the test results of teaching materials obtained score 86.46% categorized as very valid. Furthermore, the practicalities of the test results obtained by a score of 89.15% with a very practical category. This teaching material has the feasibility to be used as a media of learning in fashion technology course. Keywords: Subjects, concave arm circumference, Clothing Technology, Valid, Practical.
Deep Learning in IoT systems: A Review

The expansion of the internet, along with its interconnection of devices has made it possible to increase the world's interconnectedness in these days, with the growth in internet connectivity capabilities and quality, a lot of items are interconnected, which means they communicate with each other using new and powerful techniques. Innovative sensor systems are spreading their consumers are strongly connected to the internet. The growth of linked sensors and systems has an incremental impact on the quantity of data. Regardless of its purpose, it is accumulating whole data. The Internet of Things (IoT) has a practical use for industries such as obtaining field data, tracking it and keeping them, all connected. To imitate the human intelligence level, the machine or software is made smarter by using advanced deep learning. In the paper, several diverse types of IoT technologies will be referenced, including intelligent cities, smart health care, mobility networks, and educational systems, among others. In addition, a range of novel deep learning algorithms that were implemented to simplify the intelligent usage of the machines without involving human control has been reviewed and good results of each algorithm in different categories are demonstrated as a table of comparison. This paper gives an overview of the applications that need to combine deep learning to serve IoT applications in an efficient and automated manner.
연기교육의 디지털적 가시화 모형에 대한 연구

The development of visualization model of acting education in terms of digital is researched in accordance with contemporary theory of acting based on engineering concept in this study. In order that, a formalization which substitutes acting mechanism to symbol and algorithm on the concept of number is attempted on the one hand and seeks about encoding convert the act which is an element of acting to data in this study on the other hand. The aim of this study is to recognize the difference of ‘hearing’ type and ‘showing’ type in acting education and to establish theoretical system of visualization model supplementing both in digital point of view based on above. It is not only because visualization type based on digital, that is, concept of number can be the alternative supplements the misunderstanding and distortion, etc. caused by hearing type acting education but also it can be advantageous education type on performance learning such as acting in terms of several type such as long-term memory, etc. In order that, the necessity and basis of visualization education model which is the premise of discussion is examined in this study at first. And then, the type to formalize the acting on the concept of number based on digital characteristic is seeking and the type encoding the ‘act’ composing the acting is discussed in sequence. Based on it, the theoretical basis for the going hearing type and showing type in acting education side by side, seeking of new theory of acting based on digital point of view, movement of study focus in the theory of study from contents to type is established in this study.
Parsing Arabic Verbal Sentence Using Grammar Ontology

We build a model to parse the Arabic verbal sentence based on Arabic grammar ontology. The ontology conceptualizes the Arabic verbal sentence through the representation of grammar parsing classes, verb properties, and conjunction checking. By populating the ontology with verbal sentences and adding grammar rules, we form a verbal sentence knowledge base. The parsing model is supported by morphological analysis for sentence syntactic analysis and supported by Arabic synonyms extractor for deriving synonyms. We have implemented the model and have provided it with a user interface where the user can enter a sentence to be parsed and obtains the parsing results. The interface has the options to partially or totally add diacritics to the words of the sentence and it has the possibility to remove ambiguity by choosing the most appropriate analysis from lexicon results. To evaluate the model, we have selected a representative set of Arabic verbal sentences from Arabic grammar books that represent all the possibilities of a verbal sentence. We have performed several parsing tests on these sentences with and without diacritics. The results prove the ability of the model to parse the various forms of the verbal sentence. The accuracy increases when the sentence is diacriticized while avoiding free word order and following the Arabic verbal sentence general form.DOI:https://doi.org/10.33976/JERT.8.2/2021/3
STUDENTS’ PERCEPTION AND MOTIVATION TOWARD ENGLISH ONLINE LEARNING DURING COVID-19 PANDEMIC

The existence of the Corona virus which is still being discussed, inevitably makes teaching and learning activities must be carried out online, this aims to break the spread of the Corona virus in the field of education. This study was conducted to determine the perceptions and motivations of students during the implementation of learning English at MTs Tauhidiyah 1 Bubulan. This research conducted to answer 2 research problems as follows; (1) What are students’ perception toward English online learning during Covid-19 pandemic? and (2) How are students’ motivation toward English online learning during Covid-19 pandemic?. The study used a qualitative descriptive design. Interviews and questionnaires were used to collect the data. There were 30 students in seventh grade, and only 10 students were taken using purposive sampling technique. The results of this study showed that English online learning get positive and negative perceptions, online learning is more flexible and can be accessed anywhere and anytime, it's just that sometimes they feel lazy to access material and prefer to play on the smartphone. In the discussion of motivation, students have intrinsic motivation in online learning, they are enthusiastic about learning because they want to be able to speak English fluently and get good grades.Keyword: perception, motivation, English online learning
LibGuides: CRJU U361 - Criminal Justice Research Methods: APA 7th ed. Format

This LibGuide is a work in progress designed to assist upper level Criminal Justice students with research
ANALISIS CIRI KEBAHASAAN TEKS ULASAN PADA SISWA KELAS VIII

Learning to write review text is learning that is fairly difficult for students to do because of the difficulty of arranging words and understanding the overall work that will be reviewed with maximum writing results equipped with several complete review text structures and containing linguistic rules consisting in the review text. Review text is a text that discusses the assessment or review of book, films, dramas, and other works. In this research there is a problem formulation namely how the completeness of the language rules of the review text written by class VIII studensts. In addition to the formulation of the problem, there are also a objectives in this study namely to determine the completeness of the language rules of the review text written by class VIII Students. This research was conducted on the VIII grade students amounting to 25  students. The research method used in this research is descriptive qualitative by collecting data in the form of a review text writing skill test. Based on the research that has been done on the text of the review written by grade VIII students the language rules contained in the article can be said to be maximally because it consists of 4 linguistic rules that should be in it.
Investigating Crowdsourcing Protocols for Evaluatingthe Factual Consistency of Summaries

Current pre-trained models applied to summarization are prone to factual inconsistencies which either misrepresent the source text or introduce extraneous information. Thus, comparing the factual consistency of summaries is necessary as we develop improved models. However, the optimal human evaluation setup for factual consistency has not been standardized. To address this issue, we crowdsourced evaluations for factual consistency using the rating-based Likert scale and ranking-based Best-Worst Scaling protocols, on 100 articles from each of the CNN-Daily Mail and XSum datasets over four state-of-the-art models, to determine the most reliable evaluation framework. We find that ranking-based protocols offer a more reliable measure of summary quality across datasets, while the reliability of Likert ratings depends on the target dataset and the evaluation design. Our crowdsourcing templates and summary evaluations will be publicly available to facilitate future research on factual consistency in summarization.
Designing Interaction between the Player and the Music

There are many different ways in which a player might interact with your music: the player may have either an <italic>indirect</italic> relationship with the music (that is, the player’s actions <italic>do not</italic> directly lead to distinct musical consequences) or a <italic>direct</italic> relationship with the music (that is, the player’s actions and decisions <italic>do</italic> result in distinct musical consequences). These interactions might also happen <italic>diegetically</italic> or <italic>nondiegetically</italic>. It is important to determine early in the audio-planning process whether or not the player will share a direct relationship with the music. Different types of games require different types of interaction for the best gaming experience, and this chapter will cover various interaction types and how they can be applied.
후기 청소년을 위한 앱기반 진로설계 프로그램 개발 및 효과분석 연구

The purpose of this study is to develop an app-based program that can effectively design and operate the overall career design process and analyze its effects in order to strengthen the career design competency of university students. This study was carried out through the following step-by-step research process. First, in order to derive practical and effective direction of career design App program, focus group interviews were conducted with the staff of the university career center. Second, the App program was structured in three stages and detailed contents were developed. Third, a survey was conducted to investigate the overall perception and satisfaction of university students for the developed App program. Fourth, in order to verify the effect through application of the App program, a self-description on the experience of using the program was conducted for university students who used the program. As a result of the study, it was revealed that the App-based career design program was effective in developing career design competencies. Based on the results, it is expected that the basic data will be provided for the development of online-based education programs to strengthen the career design competencies of university students.
Characterizing The Convergence And Robustness Of The Kernel Density Mapping Method For Site-Adaptation Of Global Horizontal Irradiation In Western Europe

The estimation of the annual solar resource at a given location is a crucial part of the financing of new photovoltaic power plants. The standard practice is to use satellite-derived databases of ground irradiance estimations. Although these databases have a long-term history that properly captures the climatological variations of a given site, they are not calibrated with ground measurements and therefore may suffer from significant biases. In this paper, we focus on Western Europe and propose to use ground measurements of global horizontal irradiation (GHI) combined with a Kernel Density Mapping algorithm to calibrate several satellite databases (Solargis, HelioClim-3 and CAMS Radiation); we then show that their biases can be reduced from roughly ±3 % down to 0.5 %. More importantly, we perform a sensitivity analysis on the minimal amount of ground measurements required to perform a proper calibration and show that 12 months is the perfect duration to achieve optimal calibration performance. Additionally, we compare the calibration performance on several different satellite databases and show that a combination of several databases can lead to lower overall uncertainty.
Political memes during Election: An Awareness or Fun

The assembly election campaign is scheduled from March 2021 in Tamil Nadu. It becomes the trend in the Internet to spread messages on election campaign. Memes play a major role in spreading messages especially on election and the party contesting either as awareness or funny messages. The term netizens refer to the people who uses internet as medium to propagate message to the complete extent. It becomes normal activity to spread message very fast by these netizens. Any serious issues happening in a day will be made viral on the internet with these netizens. The role of memes has become very vast and people tend to get attracted to these memes especially during election.This research study will tend to analyze about political memes whether they are for created awareness or fun