Reviewerly/exHarmony huggingface dataset:
시계열 예측을 위한 LSTM 기반 딥러닝: 기업 신용평점 예측 사례

PurposeVarious machine learning techniques are used to implement for predicting corporate credit. However, previous research doesn't utilize time series input features and has a limited prediction timing. Furthermore, in the case of corporate bond credit rating forecast, corporate sample is limited because only large companies are selected for corporate bond credit rating. To address limitations of prior research, this study attempts to implement a predictive model with more sample companies, which can adjust the forecasting point at the present time by using the credit score information and corporate information in time series.Design/methodology/approachTo implement this forecasting model, this study uses the sample of 2,191 companies with KIS credit scores for 18 years from 2000 to 2017. For improving the performance of the predictive model, various financial and non-financial features are applied as input variables in a time series through a sliding window technique. In addition, this research also tests various machine learning techniques that were traditionally used to increase the validity of analysis results, and the deep learning technique that is being actively researched of late.FindingsRNN-based stateful LSTM model shows good performance in credit rating prediction. By extending the forecasting time point, we find how the performance of the predictive model changes over time and evaluate the feature groups in the short and long terms. In comparison with other studies, the results of 5 classification prediction through label reclassification show good performance relatively. In addition, about 90% accuracy is found in the bad credit forecasts.
Strategies for Developing Professionalism in Lifelong Educators through Reflective Practice

With regard to the professional development of lifelong educators at the stage of training, many efforts are being made, such as expanding subjects and strengthening practice. However, research and support for the professional development of lifelong educators who are already carrying out practical activities in the field are insufficient. In the lifelong education field, some people engage in lifelong education activities without going through a lifelong educator training course, and adult learning is expected to expand in various ways and the number of lifelong education providers is expected to increase gradually. There is a growing need for the professional development of lifelong educators to support adult learning. In the course of vocational socialization of lifelong educators, not only the acquisition of theoretical knowledge, but also a strategy for developing professionalism centering on reflective practical ability or problem-solving ability is needed. In relation to the professional development of lifelong educator, this paper unfolded a discussion on reflective practice. First, the meaning of reflective practice to develop lifelong educator's practical ability was investigated. Second, in order to explore ways to utilize the results of reflective practice in professional development, two concepts were discussed: reflection on the results of practice and reflection in the process of practice. Finally, after summarizing the results of the discussion, a strategy for developing lifelong educator professionals through reflective practice was suggested
Mabee Learning Center: Remote Library Access: Trial Databases

This guide provides information regarding the library's remote services such as links to online resources and research assistance tools. A list of links to trial databases during this time of online only learning
Improvement of high school students’ feeling of cooking self-efficacy after cooking training

The objective of this study is to examine how students can grow and raise their self-efficacy after cooking training in a home economics course.
Lower Bounds for Dynamic Programming on Planar Graphs of Bounded Cutwidth

Many combinatorial problems can be solved in time O∗(ctw) on graphs of treewidth tw, for a problem-specific constant c. In several cases, matching upper and lower bounds on c are known based on the Strong Exponential Time Hypothesis (SETH). In this paper we investigate the complexity of solving problems on graphs of bounded cutwidth, a graph parameter that takes larger values than treewidth. We strengthen earlier treewidth-based lower bounds to show that, assuming SETH, Independent Set cannot be solved in O∗((2 − e)ctw) time, and Dominating Set cannot be solved in O∗((3 − e)ctw) time. By designing a new crossover gadget, we extend these lower bounds even to planar graphs of bounded cutwidth or treewidth. Hence planarity does not help when solving Independent Set or Dominating Set on graphs of bounded width. This sharply contrasts the fact that in many settings, planarity allows problems to be solved much more efficiently.
COMO TRABALHAR EM TEMPOS DE COVID-19

In the midst of the Covid-19 pandemic, companies had to adapt the way their teams work, changing historically established concepts such as the need to maintain strict working hours and controlled points for employees, adhering to flexible service delivery models and even same work at a distance. The labor market has yielded trusting relationships with workers, and they have had to work hard to meet the goals established in the midst of their home routine.
Group Decision Support System for Business Place Establishment using Fuzzy SAW Borda

The economic development of a city is marked by the increasing number of established businesses. Inaccurate decision about business location can result in losses for the owner. To support proper decision making, various decision making methods have been developed. For example, by using Fuzzy, Analytical Hierarchy Process (AHP), Promethee, Simple Additive Weighting (SAW), Borda, and Hybrid (a combination of several methods). In this research, the author tries to solve the problem of decision making in determining business location, by designing a decision support system that uses a hybrid method approach, a combination of Fuzzy, Simple Additive Weighting (SAW), and Borda. There are 3 alternative locations (A1, A2, and A3), 5 decision makers, and 5 assessment criteria used, such as land eligibility (benefit), population density (benefit), traffic jam (benefit), completeness of files (benefit), and flood intensity (cost). The Decision Support System accepts input in the form of natural language/linguistic (very/quite/kinda/less) and converts it into a fuzzy membership value (range 0 to 1), processes it based on weight, cost, and benefit of existing criteria using Simple Additive Weighting (SAW), and combines the assessment results using Borda from 5 decision makers/business owners with their respective perceptions. So as to produce a final group decision. Where the final result obtained in the Borda method, that the alternative location A1 (A1 score is 6) gets the first priority to be business place establishment location, followed by A3 (A3 score is 5) in the second priority, and A2 (A2 score is 4) in the third priority/last.&#x0D;
STABILITY OF TOPIC MODELING VIA MODALITY REGULARIZATION

Probabilistic topic modeling is a tool for statistical text analysis that can give us information about the inner structure of a large corpus of documents. The most popular models—Probabilistic Latent Semantic Analysis and Latent Dirichlet Allocation—produce topics in a form of discrete distributions over the set of all words of the corpus. They build topics using an iterative algorithm that starts from some random initialization and optimizes a loss function. One of the main problems of topic modeling is sensitivity to random initialization that means producing significantly different solutions from different initial points. Several studies showed that side information about documents may improve the overall quality of a topic model. In this paper, we consider the use of additional information in the context of the stability problem. We represent auxiliary information as an additional modality and use BigARTM library in order to perform experiments on several text collections. We show that using side information as an additional modality improves topics stability without significant quality loss of the model.
Detecting Performance Anomalies in the Multi-component Software a Collaborative Robot

The detection of anomalies (affecting hardware or software) is an open challenge for cyber-physical systems in general and robots in particular. Physical anomalies related to the hardware components of such systems have been widely researched. However, scant attention has been devoted so far to study the anomalies affecting the software components. In order to bridge this gap, the present paper proposes the application of different classifiers to a robot performance dataset for the first time. The applied supervised models are targeted at detecting synthetically-induced software anomalies, having a detrimental impact on the performance of a collaborative robot. Obtained results demonstrate that the applied Machine Learning models can successfully address the target problem, with acceptable detection rates.
Overview of Technologies and Fingerprint Scanner Used for Biometric Capturing

Human beings recognize each other in various characteristics for ages. This research is based on general overview of biometrics system and the technology behind using fingerprint scanner used for biometric capturing. Biometrics is the automated methods of verifying the identity of a person based on physiological or behavioral characteristics. In this study, its development as well as its basic structure is discussed in details. This study also talks about fingerprint scanner and how it can be used for capturing information for easy verification and identification of humans to promote security in our society. Also, stages involved in fingerprint scanner detection are well elaborated in this research and various applications of fingerprint scanner in our society. In general, the characteristics of each person differs from one another, and that is why fingerprint scanner which is one of the medium of capturing data in biometric system makes verification and identification of individuals more reliable and accurate than the traditional methods of verifying and identifying information.
System informacyjny jako obiekt graniczny

Boundary objects simultaneously belong to several communities (so-called information worlds) and fulfill the information needs each of them. They can be easily adapted (customized) to the needs of any information world. At the same time, they ensure uniformity of operations across many applications. Such objects facilitate communication, but without blurring the differences between user groups. Each information system, to be able to perform basic functions, must be a boundary object, consisting of many subsystems also having this feature. From the point of view of the theory of information genres, both information system and its elements (e.g. database) should be treated as information genres, having the characteristics of boundary objects, i.e. those that allow discourse communities to reconcile over boundaries and differences. They enable the exchange of data and information objects within and between communicating worlds. In this way, the information system genre should be treated as a boundary object, shared by many information worlds above their differences.
Analysis of the Social Capital Financial Characteristics of Public–Private–Partnership Projects in Coastal Areas

Qin, Y. and Guo, X., 2020. Analysis of the social capital financial characteristics of public–private–partnership projects in coastal areas. In: Li, L. and Huang, X. (eds.), Sustainable Development in Coastal Regions: A Perspective of Environment, Economy, and Technology. Journal of Coastal Research, Special Issue No. 112, pp. 252-256. Coconut Creek (Florida), ISSN 0749-0208.This article takes the listed companies that have participated or are participating in coastal infrastructure Public–Private–Partnership projects as the research object, finds matching companies for them through the propensity score matching method, and quantitatively analyzes which financial characteristics of the social capital side affect the participation of coastal infrastructure Public–Private–Partnership projects from the micro level degree. The conclusion is that the two characteristics of corporate solvency and the nature of equity have had a significant negative impact on its participation in coastal infrastructure Public–Private–Partnership projects, and the impact of solvency is particularly important. When the empirical sample size is expanded, the asset management capability index is an influencing factor for companies participating in PPP projects one.
LibGuides: Technology Integration in the Classroom : Technology/Databases

Technology integration is the use of technology resources computers, mobile devices, smartphones and tablets, digital cameras, social media platforms and networks, software applications, the Internet, etc. in daily classroom practices.
IDISORDER DETECTION USING MACHINE LEARNING

Increased prevalence of social media usage across various age groups and social sectors and boom in popularity of cross media has led to the various muddles such as social network mental disorders (SNMDs) like Cyber-Relationship Addiction, Information Overload, and Net Compulsion etc. Based on a person’s usage pattern on social media, it is possible to predict of the person suffers from one of the 3 disorders mentioned above. In our project, we introduce a machine learning framework, namely Social Network Mental Disorder Detection (SNMDD) for mining online social behavior. It makes use of data sets extracted on browsing patterns to predict the presence of the 3 types of disorders mentioned above.
The Lecturers’ Speech Act on Online Learning During the Covid-19 Pandemic at PGRI Wiranegara University

The Covid-19 pandemic has resulted in the teaching and learning activities in the conventional classes of face to face to be limited.Online learning is offered as one of the best options to deal with the current situation.In online learning, lecturers undoubtedly play an important role; thus, lecturers must commit to being more interactive in the online classes for achieving higher learning outcomes.Communication is essential to make online teaching and learning effectively in forms of the lecturers' appropriate speech acts based on the learning context, the theme, and the social and psychological relationship between lecturers and students.Therefore, the current research aimed at obtaining an accurate description of the speech acts delivered by lecturers on online learning during the COVID-19 pandemic at PGRI Wiranegara University.This research was designed as a descriptive qualitative.The data of this research were taken from the lecturers' utterances and their contexts.The data was from the lecturers of Civic Education (PPKn) Study Program at UNIWARA in the academic year 2019/2020.Data collection employed "observe, listen, and note" technique.At the same time, the main instrument in this study was the researchers themselves.The analysis was done through (1) data reduction, (2) data presentation, (3) data verification, and (4) data conclusion.This research revealed that the lecturers' speech acts were in the forms of signs, elicit act, informative act, accepting act, replying act, commenting act, and functions toward the lecturers' speech acts in online learning during the COVID-19 pandemic at UNIWARA.
프로젝트 기반 플립 러닝을 적용한 연출실습 수업설계 및 운영

Most of the university's arts and practical education are offline, taking a face-to-face approach between professors and students. However, as the educational environment is rapidly changing due to the 4th Industrial Revolution and Covid19 Pandemic, various teaching methods are being developed accordingly, across all disciplines. Now, art education will also need to devise new teaching methods that can overcome the limitations of the existing teaching methods. This study aims to examine the learning effectiveness and educational meaning of the directing practicum class, which is applied with the new teaching method, by designing and operating the online teaching method in the directing practicum class, which had been conducted offline in the theater department.In previous directing classes, the project-based learning method had been applied and got many positive responses from students, but 3-hour session was too short to make the students' satisfaction level to reach its peak. To compensate the lack of time, the flip-learning was incorporated in designing this new teaching method and on-line materials were given to students before each class.As for research method, first, on- and off-line methods were combined, second, the weekly class plans were designed accordingly, and then each class was operated and evaluated to find out how students' satisfaction progressed. The new teaching method is named “Project-based flip-learning”, which examines both purpose and principle of project-based learning method and flip-learning. Each week, a newly derived project-based flip-learning was applied in the directing practicum class. Thus, the results of the application of the new teaching method were analyzed by the researchers' self-assessment and the survey of the learners' satisfaction in education to analyze the learning effects and educational implications of art practice classes.Through research result, self-assessment, and class satisfaction survey, it showed generally positive effects such as the active and self-led transformation of learners' attitude, the facilitation of students' interaction, and the improvement of learning effectiveness. On the other hand, the inconvenience of having to learn in advance through online video lectures was negative. Consequently, the design and operation of the classes by applying project-based flip-runs to the directing practicum class was deemed to require further expansion of the application of these teaching methods as the educational effects improve, although there are inconveniences in online classes.
A descriptive study to assess the knowledge regarding behavioral problems and its management among mothers of preschool children in selected areas of Hisar with a view to develop information booklet

Normal children are healthy, happy and well adjusted.This adjustment is developed by providing basic needs along with physical and physiological needs for their mental well-being.The children are dependent on their parents, so parents are responsible for fulfillment of their needs.Objectives: to assess the knowledge regarding behavioral problems and its management among mothers of preschool children.Method: Design non-experimental, descriptive in approach.The tool used for this study consist of demographic data and structured knowledge questionnaire. Sample and Sampling Technique:The population for this study were 100 mothers of preschool children selected through convenient sampling technique.Conceptual framework based on revised Pender's ( 2002) and otava charter (1986) health promotion model. Results:The finding of present study revealed that the tabled  2 value for 2, 3 & 4 degree of freedom were 5.99, 7.82 & 9.49 at p< 0.05 level of significance. Conclusion:The Mean Knowledge Score was (10.56) and SD is (3.8).Therefore it is concluded that there was requirement to develop information booklet for mothers regarding behavioral problems of school children.
VR – future of foreign language teaching: prospects of the non-distant future

International scientific and practical conference «Current trends and factors of the development of pedagogical and psychological sciences in Ukraine and EU countries» : conference proceedings, September 25–26, 2020. Lublin : Izdevnieciba «Baltija Publishing», 2020. 516 pages.
Modern Approach to Project Management, Usage, and Success Rate of Agile Methodologies: an Evidence From Serbia

The global trend of using "Agile" tools and techniques within organizations and implementing them on everyday projects is evident in the past decade, especially in the information technology and software engineering industries, where constant change of requirements and directions are quite common and mostly appreciated.Prior research showcased that the success rates of projects implementing "Agile" are generally higher and that the damage done from canceled or failed engagements are far less then on traditionally run projects.Many of the authors suggested that more value has been provided to the customers by using iterative approach and by utilizing "scrum" multidisciplinary teams, which also include team members from the client side.The main purpose of this paper is to showcase the adoption level of modern project management methodologies and their perceived importance in Serbia, by conducting research among its users, managers, and IT experts from the country.This paper contributes to the topic by providing real industry insights and opinions by professionals using modern project management tools and techniques in their workplace.
STUDYING THE AXIOLOGICAL CONTENT OF A LITERARY WORK

The article deals with the problem of identifying and studying axiological ideas of a writer which have found expression in his/her work. Values form the basis of a writer’s (as well as any person’s) worldview and originate from their religious, philosophical, ethical and aesthetic ideas. Due to external or internal reasons, some idea is actualized in the writer’s mind and by means of his / her talent turns into the idea of a literary work. The combination of literary forms and means of implementing various aspects of the writer’s idea creates the content of the work. The idea of a literary work occupies the dominant position in relation to all the elements of its content and form, and therefore it has repeatedly become a subject of scientific consideration. One of its results has been the discovery of a complex internal structure of a literary work idea. The author of the article summarizes the obtained experience using theoretically justified terms to describe the structure of the idea: an external idea, an internal idea, the main idea, and ideological synthesis. Deep and complete understanding of the essence of a literary work idea and its connection with the idea of the writer’s individual consciousness allowed the author of the article to formulate the method making it possible to study the process of implementing the writer's axiological ideas into the images of his / her work. The method is based on the principle of simultaneous and continuous movement from the form of a literary work to its content, and from the content – to its form. The form is studied by means of philological analysis, while the content is analyzed with the help of fideistic resources. The data obtained while studying each element of the form and content are mutually supplemented and verified, resulting in a complete and consistent view of the literary work content.