Reviewerly/exHarmony huggingface dataset:
A New Interval Type-2 Fuzzy Logic System Under Dynamic Environment: Application to Financial Investment (Subsequently published in "Engineering Applications of Artificial Intelligence")

This paper proposes a new interval type-2 fuzzy logic system (IT2 FLS) for financial investment with time-varying parameters adaptive to real-time data streams by using an on-line learning method based on a state-space framework. Particularly, our state-space approach regards the parameters of IT2 FLSs as state variables to sequentially learn by Bayesian filtering algorithms under dynamic environments, where time-series data are continuously observed with occasional structural changes. Moreover, our proposal is effective for financial investment, which often involves various practical complex constraints, because general state-space model makes it possible to flexibly deal with non-linearities. In our empirical experiment with time-series data of global financial assets, our approach is applied to on-line parameter learning of type-1 and type-2 FLSs for portfolio decision making. As a result, it is shown that the IT2 FLS holds its advantage against the type-1 FLS, even though both of the type-1 and type-2 models have the adaptive time-varying parameters, which is an unexplored topic for empirical studies of this area.
When Tesseract Does It Alone: Optical Character Recognition of Medieval Texts

Optical character recognition of scanned images for contemporary printed texts is widely considered a solved problem. However, the optical character recognition of early printed books and reprints of Medieval texts remains an open challenge. In our work, we present a dataset of 19th and 20th century letterpress reprints of documents from the Hussite era (1419–1436) and perform a quantitative and qualitative evaluation of speed and accuracy on six existing OCR algorithms. We conclude that the Tesseract family of OCR algoritms is the fastest and the most accurate on our dataset, and we suggest improvements to our dataset.
A Comparative Study of Korean Degree Adverbs in Spoken and Written Register

This study investigates meanings of Korean degree adverbs in spoken and written registers. With respect to frequency of degree adverbs, the corpus data shows that degree adverbs are used more frequently in spoken registers than written ones. Regarding the usage of occasional degree adverbs(i.e., hapax legomenons), it is predicted that degree adverbs in spoken registers will be used in broader sense than written ones. This quantitative analysis indicates that the usage and functions of degree adverbs are related with registers. The purpose of this study is to explore this prediction by investigating the types of modificand, prosody on each co-occurance. Overall, degree adverbs have its modificand types restrictive. And the polarity of semantic prosody tends not to be subordinate with semantic polarity of modificand itself. This tendency is much stronger in spoken registers than written registers. This suggests that in spoken registers, diversity of modificand types is lower than written registers, whereas diversity of semantic prosody is higher than written registers. These results are consistent with the idea that spoken language is strongly influenced by its context compared to written language.
REVISION OF THE SCALE OF DETERMINING THE SOURCES OF SELF-EFFICACY BELIEF FOR MIDDLE SCHOOL STUDENTS

Bandura argued that self-efficacy belief is nourished by four sources. These are masyery performance (performance accomplishments), vicarious experiences, verbal (social) persuasion, physiological and emotional states. The aim of this study is to rearrange the "Determining the Sources of Self-Efficacy Beliefs of Primary School Students" scale and to examine the revision of the new form for middle school students. In the new form of the scale prepared for secondary school students, the items were expressed in the form of question and the options were formed in the 5-point Likert; highly increase (5), quite increase (4), moderate increase (3), slightly increase (2), never increase (1). The scale items are based on mathematics. Confirmatory factor analysis (CFA) was conducted to demonstrate suitability of this new form of the scale for the middle school students. At the end of the study, it was found that the structure of scale with 4-factor and 12-item was protected, in other words, the new form of the scale gave valid and reliable results on middle school students. Keywords: Self-efficacy belief, sources of self-efficacy belief, confirmatory factor analysis, middle school students.
The Life Cycle of an E-Reserve Service

AbstractThis article presents findings from a survey regarding use of an e-reserve service, and how those findings contributed to a decision to discontinue an e-reserve service at a large, academic research library. In addition to survey results, the article explores how the nature of the e-reserve service changed from inception to discontinuation, what changes ultimately led to the demise of the service, and how the library worked with faculty and instructors to transition from e-reserves to a shared course management platform.Keywords: Electronic reserve AcknowledgementsThe author would like to thank and acknowledge Jen-chien Yu, Coordinator of Library Assessment, for her assistance with creation and analysis of the survey conducted Spring 2016 for the Task Force to Investigate the Future of Reserve Services. The author would also like to thank and acknowledge B.A. Davis-Howe for ongoing support and assistance with data relating to the service.
카지노 영업직이 지각하는 일터학습이 조직몰입에 미치는 영향에 있어 직무만족의 매개효과와 상사신뢰의 조절효과에 관한 연구

The purpose of this study was to determine the mediating effects of job satisfaction and moderating effects of trust in supervisor on the relationship between workplace learning and organizational commitment in casino employee. The major finding of this study were as follows: First, the higher the perception of workplace learning, the higher organizational commitment. Second, job satisfaction had a partially mediating effect on workplace learning and organizational commitment. Third, as the result of verifying the moderating effect of trust in supervisor in the relationship between workplace learning and organizational commitment, it was found that trust in supervisor did not effect of moderator. The study illuminates discussion that company should not only support workplace learning but also improve work environment, organization culture, and so on. Moreover, according to creating collaborative learning culture based on trust in organization, workplace learning will be expressed effectively to organizational commitment and organization should support employees’ voluntary and continuous learning.
Aligning Estonian and Russian news industry keywords with the help of subtitle translations and an environmental thesaurus

This paper presents the implementation of a bilingual term alignment approach developed by Repar et al. (2019) to a dataset of unaligned Estonian and Russian keywords which were manually assigned by journalists to describe the article topic. We started by separating the dataset into Estonian and Russian tags based on whether they are written in the Latin or Cyrillic script. Then we selected the available language-specific resources necessary for the alignment system to work. Despite the domains of the language-specific resources (subtitles and environment) not matching the domain of the dataset (news articles), we were able to achieve respectable results with manual evaluation indicating that almost 3/4 of the aligned keyword pairs are at least partial matches.
THE USE OF FUZZY CLUSTERING FOR BUILDING A KNOWLEDGE BASE IN THE PROBLEMS OF PREDICTING THE DURABILITY OF CORRODING STRUCTURES

Quite a lot of works are devoted to the study of methods for processing multidimensional data arrays in various subject areas, and these studies are far from being completed [1, 2]. Before starting to work with such data, if possible, preliminary processing should be carried out, for example, removal of abnormal or noisy elements, etc.One of the directions of processing multidimensional arrays of various structures is cluster data analysis, which allows you to space heterogeneous data into subsets of a more or less homogeneous structure.
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives

The most successful approach to Neural Machine Translation (NMT) when only monolingual training data is available, called unsupervised machine translation, is based on back-translation where noisy translations are generated to turn the task into a supervised one. However, back-translation is computationally very expensive and inefficient. This work explores a novel, efficient approach to unsupervised NMT. A transformer, initialized with cross-lingual language model weights, is fine-tuned exclusively on monolingual data of the target language by jointly learning on a paraphrasing and denoising autoencoder objective. Experiments are conducted on WMT datasets for German-English, French-English, and Romanian-English. Results are competitive to strong baseline unsupervised NMT models, especially for closely related source languages (German) compared to more distant ones (Romanian, French), while requiring about a magnitude less training time.
Improving ENIGMA-Style Clause Selection While Learning From History

We re-examine the topic of machine-learned clause selection guidance in saturation-based theorem provers. The central idea, recently popularized by the ENIGMA system, is to learn a classifier for recognizing clauses that appeared in previously discovered proofs. In subsequent runs, clauses classified positively are prioritized for selection. We propose several improvements to this approach and experimentally confirm their viability. For the demonstration, we use a recursive neural network to classify clauses based on their derivation history and the presence or absence of automatically supplied theory axioms therein. The automatic theorem prover Vampire guided by the network achieves a 41% improvement on a relevant subset of SMT-LIB in a real time evaluation.
C-BDE: A Comprehensive analysis to understand blockchain development environment

In the digital world Smart contracts have become invincible. One of the applications of smart contracts is Blockchain has many advantages including decentralization, continuity, privacy, auditability and traceability. There is a broad variety of blockchain applications from cryptocurrencies, financial services, risk management, internet of things (IoT), and public and social services. Mining creates new blocks in the chain through secure and robust consensus. Mining also introduces rewards for the validation work. The blockchain taxonomy, introduces typical blockchain consensus algorithms. While a range of swotting concentrate on using blockchain technology in various applications, the unified blockchain does not have a systematic survey of mining techniques. Our motive is to observe and compare various blockchain mining techniques used by general blockchain applications including crypto currencies. The analysis will model a comprehensive new optimized blockchain mining architecture which would incorporate all common parameters as well as differences among the existing architectures. As the architecture gets designed it will be analyzed and then it will be implemented for validation.
Multi-Class Classification of the YouTube Comments using Machine Learning

Due to huge data on Social media the people face difficulty to finding in qualitative content of the video if they find the qualitative content as per their judgment and knowledge, they do not confirm the actual content quality. People put their idea and subscriber watch the videos and put their feedback in the comments. Our purposed study help the subscribers to find the best-experienced idea based on the people personal experience here we classify the collection of comments collected using Google API’s(“Google API YouTube” n.d.) and annotate them in different classes which are Experience-positive, Experience-negative, Warning, Suggestions, Questions, Praise, these classes helps us to find the qualitative analysis of the comments but based on the these required classes. Our proposed model shows experiments that the best classifier for us is the SVM have accuracy is 89.18% and F1 score is 0.89 this shows that our model is productive and efficient for classification to help out the user as well as the author to find the best qualitative video content which is experienced and confirmed by the user’s experience(Abbas 2017).
Mnemonics in e-learning using augmented reality

AR has great potential to affect the learning experience. Developments in AR technology have motivated the researchers to develop applications using hardware, software and the authoring of content. A summary of the main findings of this chapter are as follows: Published surveys show that AR in education has progressively increased year by year intensively and mainly in the last 8 years. AR has been mostly applied in professional education as well as higher education. Location-based AR along with marker-based AR is very widely used.
IMPLEMENTASI SISTEM OTOMASI PERPUSTAKAAN BERBASIS SLiMS 7 CENDANA DENGAN PEMANFAATAN BARCODE DI PERPUSTAKAAN UNIVERSITAS DIRGANTARA MARSEKAL SURYADARMA

Abstract Information Technology is one technology that is developing rapidly at this time. With the advancement of information technology, access to available data or information can take place quickly, efficiently and accurately. The development of science and technology is driving the development of information technology-based administration systems. It also penetrated into university management, including one in the management of the library system. Increasing the professionalism and quality of education and services offered by an educational institution is one of the attractions of public interest as one of the criteria in choosing an educational institution. A library is a place, a building that is provided for the maintenance and use of a collection of books and so on can also be interpreted as a collection of books, magazines, and other library materials that are stored to be read, studied, discussed (Depdikbud, 1996). Management of libraries today increasingly demands quality and professionalism so that the results can be utilized to the maximum extent possible by its users. With the current technological developments, an information system that handles library administration is indeed needed. The information system is related to book data management, member data management, book loan circulation data management and other administrative data management. With the existence of the library information system, it can certainly improve the effectiveness of library use.
On elementary logics for quantitative dependencies.

We define and study logics in the framework of probabilistic team semantics and over metafinite structures. Our work is paralleled by the recent development of novel axiomatizable and tractable logics in team semantics that are closed under the Boolean negation. Our logics employ new probabilistic atoms that resemble so-called extended atoms from the team semantics literature. We also define counterparts of our logics over metafinite structures and show that all of our logics can be translated into functional fixed point logic implying a polynomial time upper bound for data complexity with respect to BSS-computations.
Pembelajaran Kreatif Menulis Puisi dengan Media Gambar di Mi Ma’arif NU I Kaliwangi

Writing activities are essentially not only to give birth to a thought and a feeling, but also a disclosure of knowledge ideas and the life experience of a person in writing language. The study used a qualitative approach with case study techniques. With the research subject grade V students MI ma'arif NU 1 Kaliwangi. Data collection techniques with interviews, observations, and documentation. Analytics Data uses the Miles and Huberman model. Results showed (a) mature planning before the process of dissection (b) the implementation of creative learning with the image media assisted by the LCD, and Worksheet (c) Self-reliance assessment techniques with direct observation, and system point, (d) The lack of introductory media such as dictionaries changed basic barriers.
Analysis of Information Technology Governance In Bina Darma Foundation of Salatiga Using COBIT 5 Framework

Bina Darma foundation is a non-profit organization established by SWCU and GMKI. The main activities of the Bina Darma foundation are a leadership training program, journal publishing, and guesthouse rental. Problems that occur in the foundation include the management of human resources related to IT is not appropriate. To solve the problem, there needs to be control and evaluation to see how the condition of IT governance in Bina Darma Foundation uses the framework COBIT 5 domain DSS (Delivery, Service, and Support). The result of this research is capability level is currently at level 1 (Performed process), while the capability level is expected to be at level 2 (Managed process). Therefore, recommendations are given so that the IT governance in Bina Darma Foundation can work optimally to support the achievement of the organization's business objectives efficiently.
Sports Event Management Platform for Colleges

The project brings the entire manual process of sports event management online, which is built-in Html and CSS as front end, Php and Mysql as back end. This project aims to simplify handling each sports event by providing a web interface for admin and Student.  The admin module consists of multiple modules to initiate with the sports event by staff adding the type of sports details, Editing the details if any updates or correction, viewing the report of the student name list who are all registered for a sports event, adding the results of sports event held in college and adding the training schedule for the students registered in the event. The Student part has come up with a Home page that displays the event images. The event page has all the sports event information’s (event name, date, time, ,register button), registration page the Student can enter the details and register for the event, result page shows the results of sports event held in college, training schedule page has all the training detail and attendance for Student and finally about us page has the details of the college. The main desire our project is to establish a bridge between students and staff. So there is no intermediate person to convey all information, students to get correct and quick updates regarding sports.
Not All Requirements Prioritization Criteria are Equal at All Times: A Quantitative Analysis

Requirement prioritization is recognized as an important decision-making activity in requirements engineering and software development that is applied to determine which requirements should be implemented and released. In order to prioritize requirements, there are several approaches/techniques/tools that use different requirements prioritization criteria, which are often identified by gut feeling instead of an in-depth analysis of which criteria are most important to use. Therefore, in this study we investigate which requirements prioritization criteria are most important to use in industry when determining which requirements are implemented and released, and if the importance of the criteria change depending on how far a requirement has reached in the development process. We conducted a quantitative study of one completed project from one software developing company by extracting 83,408 requirements prioritization decisions based on eight requirements prioritization criteria for 11,110 requirements. The results show that not all requirements prioritization criteria are equally important, and this change depending on how far a requirement has reached in the development process.
Pengukuran Literasi Digital Mahasiswa Pendidikan Teknik Arsitektur sebagai Digital Native pada Era Revolusi Industri 4.0

The head of research is “The Digital Literacy Measurement of Architecture Engineering Education Students as Digital Native at The Era of Industrial Revolution 4.0. This study aim at measure the digital literacy of Architectural Engineering Education students in the Faculty of Technology and Vocational Education in the process of transition to a new normal at Industrial Revolution 4.0 era that will disrupt entire sectors into digital format. The method that the researcher used in this study is descriptive research with quantitative approach and the questionnaire with psychological approach is the data accumulation technique that the research used to collect the data. The questionnaire distributed to Architectural Engineering Education students online. And also, for the sampling technique is purposive sampling by taking into account special features. The measurements of digital literacy observed in 3 dimension of Architectural Engineering Education students’ digital literacy that is technical dimension, cognitive dimension and social-emotional dimension. The graphic diagram pre dimension informed the research’s result.
Comprehensive Technology and Method Implementation of Physical Education and New Training Approach

The use of information in sports and technology is a vital sign to measure the development management of your sport and sporting strength. Artificial Intelligence is cutting-edge in mathematical technology and computer research that is growing and conducting the necessary research. Assessed the essence of PE training and teaching, assembled an applicable version of VR technology in this field. Those options that come with VR technology include awareness, attendance, interactivity, freedom, etc. It will be broadly used in PE instruction and will play a substantial role. This computer understands the center of computer mathematics, and applying these to primary education and education is essential. This paper's objective isn't to design and examine computer applications in the sports business except to concentrate on a single component of sports instruction with computer calculations. It's a fundamental technology for analyzing the trajectories of study objects. By way of instance, this paper assesses image processing in sports and puts forward a few suggestions.
La Competencia digital del estudiantado universitario

The digital competence of the citizen of the XXI century turns out to be a transversal axis where knowledge, skills and attitudes for work and social life converge. In this quantitative research, it was proposed to describe the level of digital competence of 678 undergraduate students from a public university in south-eastern Mexico. A 44-item structured questionnaire was designed, whose data allowed diagnosing the most and least developed areas of competence and determining the statistically significant differences by academic school, major and gender. The results showed that 44.9% of the students reported a high intermediate level of digital competence in general, while 35% resulted in a low intermediate level, 12.5% ??with an advanced level and 8.5% as beginners. The most developed area of ??competence was communication and the least developed was the creation of digital content. Finally, significant differences were found in digital competence by academic school, major and gender. The results of this research have their pedagogical implications, which are discussed in this article.
CCS Library: Interlibrary Loan (ILL): FAQ

This guide covers how interlibrary loan (ILL) works at CCS Library and includes the forms needed to request materials from external partners