Reviewerly/exHarmony huggingface dataset:
Measuring implicit knowledge of learners of Korean as a second language using a dual-task paradigm

This study investigates whether measures of explicit knowledge are affected by demands on attentional resources made by random digit generation as a secondary task during a grammatical judgment task, and whether the subjective threshold criterion may dissociate implicit and explicit grammatical knowledge of learners of Korean as second language (L2). Thirty participants performed a grammatical judgment test and reported how confident they are in their decision for each judgment. A half of them were randomly assigned to the sing-task condition and the other half to the dual-task condition. The results of the experiment are as follows: firstly, the quality of explicit knowledge under the dual-task condition was not impaired; secondly, the accuracy of high confidence reponses did not significantly differ from that of low confidence responses; thirdly, the calibration curve for the single-task condition was fairly closer to the regression line representing perfect calibration than that for the dual-task condition; and finally, the signal detection analysis exhibited the learners’ ability to discriminate between correct and incorrect responses. These findings suggest that random digit generation as a secondary task may not be suitable for facilitating the use of implicit L2 knowledge, whereas the subjective threshold criterion can be useful for separating between implicit and explicit L2 knowledge.
Sampled-Data Output Feedback Control of Stochastic Nonlinear Systems

This paper focuses on the sampled-data output feedback control problem for stochastic nonlinear systems represented by Takagi-Sugeno fuzzy affine models. Based on piecewise quadratic Lyapunov-Krasovskii functionals, some new results on the sampled-data piecewise affine output feedback controller design are obtained. A simulation example is given to illustrate the effectiveness of the proposed scheme.
Critical Discourse Analysis of Marginalization of Local Wisdom Content in Television Documentary Program

This study wants to examine the background of the local wisdom content marginalization in Indonesia Bagus television documentary program.This study uses a critical discourse analysis approach from Fairclough which explains how the marginalization of local wisdom content is carried out, how the production team does it, whether any power plays a role and how the audience interprets the concept change.The analysis of this study considers on NET's financial condition, CEO changes that lead to resign offer to employees, which then creates a discomfort atmosphere for NET employees.This is what underlies the marginalization of the content that is deemed not to produce a high rating and share.One of the programs that were affected by the conditions of NET are documentaries Indonesia Bagus.The Indonesia Bagus program changed the concept from an observational documentary program that was loaded with local wisdom content into an expository documentary program with a more dominant element of entertainment.A concept change that has to 'strip away' the function of information, education, and social control over local wisdom content as a cultural identity.The expectations of this concept change, of course, to raise its rating and share.But in fact, the concept change produces a decline in ratings and share in Indonesia Bagus program.This research is expected to be a reference in television documentary studies to see how a context plays a role in the production process of documentary television programs and how local wisdom content can be used as informative, educational and entertaining television program content; to provide a positive understanding for the younger generation in the process of strengthening the identity of Indonesia.
Klasifikasi Topik Tugas Akhir Mahasiswa menggunakan Algoritma Particle Swarm Optimization dan K-Nearest Neighbor

Problems the Topic of the final project is a form of scientific writing that contains the results of observations from a study of the problems that occur with the use of methods related to the particular field of science. Every student in every program of study must draw up a final project. However, before embarking on writing the final project, each student must have the topic area as a destination, the step of selection the topic of final project is an initial step before working on the final task. One way to get the final task is to see the value of general courses as well as courses, concentration majors, the value of which dominate the is is decent to scope the research topic. this research is conducted on the application of the method of K-Nearest Neighbor (KNN) for categorization of the value of the courses of concentration for the coverage of the research topic, topic the entire value in the dataset will be classified by KNN and in the optimization with the Particle swarm Optimization algorithm (PSO). The experimental categorization of the final project is built with the training data Mahasiswa Universitas Ichsan Gorontalo that has been classified previously and test data derived from the entire value of the courses is not yet known categories. The results of the experiments, the value of the resulting accuracy of algorithms KNN, namely the value of the best accuracy with K=3, K Folds = 10 has an accuracy that is 72.46% and the Algorithm of KNN-PSO best accuracy with K=3, K Folds = 10 has an accuracy that is 89.86%, shows the accuracy is better by using the optimization algorithm
LibGuides: Primary Sources for Catoctin Students: Noodletools - Primary Sources

Use the databases and other tools in this guide to serach for and use primary sources in your research.
An analysis of trends in Korean vocabulary teaching method –Focused on theses–

The purpose of this study was to research what direction the Korean vocabulary education had to be steered by identifying the trends of research on Korean vocabulary education. Initially, I searched the RISS with the keyword “Korean vocabulary education” and organized the relevant data by year, learner characteristics, and vocabulary type etc. Through the data analysis, I was able to identify several trends. The trend by could be divided into three different time periods depending on the trend of study. Although research on learner proficiency was evenly represented, the studies on the nationality of target learners were mostly represented by Chinese while studies on the types of learners were mostly represented by married foreign immigrant women. Overall, Traditional Chinese (Hanja) contributed the largest proportion of research and I incorporated a variety of research methods such as teaching material analysis, experimental research and surveys in my research. As for the measures for teaching, research on teaching methods were the most popular. Through these results, I propose that more research needs to be done based on the geography of language, proficiency levels, special purposes, and various languages while the measures for teaching be objectively evaluated through this research.
Exploring the Trading Zones of Digital STS

&#x0D; Over the last couple of decades, one of the significant developments in digital STS has been the rapid growth in digital methods and tools for data harvesting, analysis and visualisation. The increasing availability and deployment of digital tools raises questions about how to develop an analytic practice that reconciles the theoretical sensibilities of STS with tools and data that may sometimes be grounded in assumptions alien to STS. This article explores these challenges by reporting on two related digital STS projects that were carried out at the Techno- Anthropology Lab in Copenhagen. Drawing on science historian Peter Galison’s notion of trading zones, the article analyses how project participants from different communities of practice exchanged and combined tools, theories and projects in a variety of ways. The article identifies two particular trading strategies: the introduction of assisting ontologies or mini-theories, and the introduction of project-specific problems and success criteria. In the final discussion, the article argues that a reliance on these trading strategies in the future will require digital STS to maintain and cultivate its theoretical sensibilities through a continued dialogue with the broader field of STS, including, in particular, new interventionist forms of STS scholarship.&#x0D;
Statistical Analysis to Bitcoin Transactions Network

There is abundantly documented scientific evidence that the financial transactions that have grown rapidly recently, in conjuction with the interest of the public, were due to the sharp rise in the price of Bitcoin in December 2017. As a consequence, a freshly emerging dataset in the research community has emerged. Therefore, the aim of the present investigation was to examine the analyses of data in this newly emerging dataset in the research community. In order to achieve the extraction of data, their conversion to network and finally their fragmentation, the studied variables were analyzed by using two parts of analysis, namely, statistical network analyses and economic activity analyses. Network statistical analyses was employed aiming to analyze, in a holistic approach, the complex systems of modern times which are represented as networks, as it is impossible to analyze them partially, in order to avoid incorrect conclusions. Additionally, the analyses of economic activity, which is related to indicators from the stock market and the economics of science, was used, after it had been transferred and matched with the economic model represented by Bitcoin. The results distinguished the extent of the data generated by the statistical analyses of the networks and the analyses of economic activity. With respect to data presented, we established that the daily transaction networks were scale free networks which were not evolving like ER random networks and they were not defined as the small world. Also, it was demonstrated that daily transaction networks cannot be reproduced in a random way like ER random networks. Furthermore, the opportunities and problems encountered in conducting the present research were briefly presented.
A Practice of Humanities Convergence Education in the period of the 4th Industrial Revolution

이 논문의 목적은 4차 산업혁명 시대의 대학교육으로서의 인문융합 교과의 수업설계, 그리고 교수학습법과 그에 따른 수업 만족도 조사의 사례를 제시함으로서 인문융합 교육과 학제간 연구에 관한 하나의 제안을 하고자 함에 있다. 연구의 대상은 본 연구자가 직접 개발한 국내의 C대학교의 인문융합 교과목이었다. 본 수업의 기본 설계는 인문학 교수자와 경찰행정학 교수자가 팀티칭으로 진행하는 것이었다. 이에 따른 교수 학습법은 온라인과 오프라인 수업을 결합하는 블랜디드 러닝과 강의토론식 학습법을 사용하였다. 블랜디드 러닝과 강의토론식 학습법의 수업 구성단계는 동일하였으며, 교수학습법에 따른 수업 만족도의 결과 역시 유사하게 나타났다. 본 연구를 통해서 교수학습법에 따른 수업 만족도는 학습 대상자가 바뀜에 따라 변할 수 있음을 알 수 있었다. 무엇보다 중요하게 생각해야 할 점은 수업이 시작되기 전 수업에 관한 설계 단계에서부터 면밀한 과정을 거치게 되면 학습자들이 수업에 대한 만족감을 얻을 수 있다는 점이다.The purpose of this paper is to present a practical example of humanities convergence curriculum design as a type of college education in the period of the 4th Industrial Revolution, teaching-learning methods, and a survey of class satisfaction. The target of the study is a humanities convergence class developed by the researcher at C University in Korea. The basic design of this class is conducted as a team with professors who studied humanities and police administration. We used blended learning, which combines on- and off-line learning, and lecture discussions as teaching-learning methods. The steps in the class were the same in the blended learning and lecture discussion teaching-learning methods, and the results of class satisfaction according to the teaching-learning methods are similar. Results of this study show that the class satisfaction can change when learners change. The most important thing to think about is that if you undertake a careful process starting with the design stage of the class before the class starts, learners can derive satisfaction with the class.
Continuing education in pedagogical activity: theoretical and methodological aspects of research

Continuing education in pedagogical activity: theoretical and methodological aspects of research
Termination of the Fundamental Sequences of $$ \mathcal {B}$$ -Permissible Blow-Ups, and the Case e x(X) = 1

In this chapter we prove the Key Theorem 6.35 in Chap. 6 , by deducing it from a stronger result, Theorem 10.2 below. Moreover we will give an explicit bound on the length of the fundamental sequence, by the δ-invariant of the polyhedron at the beginning. First we introduce a basic setup.
Nature of Dimensions

Dimension can be is seen as degree of freedom of movement of any object. Dimension is defined as attribute of an object which can vary from -∞ to +∞. Complete set of dimensions can define any object completely. For the purpose of complete description of an object five major groups of dimensions may be described. These are the dimension groups of Space, Time, Energy, Matter, and Consciousness. All dimension exist inter-dependent and interacting with other dimensions to formulate new dimension subset in various permutations and combinations. Consciousness as a dimension is a novel concept. While in string theory & M-theory, 11 & 12 dimensions respectively are used, still all these are not the complete dimensions per se but the sub dimensions of space and matter interacting with time. The energy strings of string theory are not hypothetical but real ones and these strings only make up the elementary particles and such similar strings make up the dark energy and therefore space. The dimension of consciousness is represented by the mathematics involved in it. The principle of similarity, identity, symmetry, Fibonacci sequencing etc are the essential characteristics of this dimension. The restricting of dimensions is fundamental research in physics, because these dimensions give ways to further building blocks of understanding. Earth and stars are conscious entities. This is a novel concept. We can also reflect more on this. This fact has huge connotations for astrology getting connected to physics rather than being left alone as esoteric science. This is an area which can open new frontiers for researchers and entire humanity can benefit from this.
STUDENTS’ PERCEPTION ON READING COMPREHENSION PROBLEMS IN NARRATIVE TEXT

This survey study aimed to know the students’ perception on reading comprehension problems of narrative text. The sample participants were randomly selected from the tenth grade students of SMAN 2 Jember in academic year of 2019/2020. Questionnaire adopted from Xiubo & Zhang (2006) was used to collect the students’ perception and it was translated into Indonesian. The result showed that the students still experienced some problems in reading narrative text. Based on the result of the questionnaire, the most problematic aspect that hinder the students’ reading comprehension was “Motivation” (65.6%), followed by “Strategies” (63.7%), “Background Knowledge” (63.3%), “Reading Process (60%)” and “Language Knowledge (55.4%)”.  The result implied that the teacher should focus on fostering students’ motivation by giving intensive course and reading assignment based on the students’ interests. In order to see further into the problem faced by the students, future reseacher could use direct assesment by using diagnostic test or other measurement.
Library Guides: PSU1 Abington Library Orientation: Welcome!

Introduction to the Penn State Abington University Libraries: resources, services, and spaces
MS-SAE: A General Model of Sentiment Analysis Based on Multimode Semantic Extraction and Sentiment Attention Enhancement Mechanism

Recently, there is a lot of research on sentiment analysis. When existing models extract text features, semantic information can’t be fully obtained, because they ignore context connection between historical texts and current texts. Meanwhile, models cannot self-optimize extraction algorithms, making key sentiment semantics be neglected, because they can’t track and feedback analysis results. Furthermore, models extract insufficient sentiment features, resulting in imperfect semantic extraction and unsatisfactory analysis results, because they only extract POS features. To solve the above problems, we propose a general model of sentiment analysis based on multimode semantic extraction and sentiment attention enhancement mechanism (MS-SAE). The model includes a multimode semantic extraction processing (a multimode semantic extraction module and a sentiment attention enhancement mechanism), an extended dictionary (ExWordNet) and a sentiment analysis module. The multimode semantic extraction module extracts semantic features from multiple perspectives and pays close attention to extracted features, which solves the problem of insufficient semantic extraction. We propose a sentiment attention enhancement mechanism to solve the problem that sentiment semantics is neglected. We construct a general extended dictionary to support MS-SAE in semantic extraction processing. The LSTM-based sentiment analysis module ensures the accuracy of sentiment analysis. We evaluate MS-SAE on SST-2, MR and Subj datasets. Extensive experiments have been conducted and the results demonstrate that MS-SAE could achieve better sentiment analysis performance than the state-of-the-art algorithms in accuracy. It solves the problems including poor understanding of text semantics and errors in analysis results.
The leading hadronic vacuum polarization contribution to the muon anomalous magnetic moment using $N_f = 2+1$ O(a) improved Wilson quarks

We present a lattice calculation of the leading hadronic contribution to the anomalous magnetic moment of the muon.This work is based on a subset of the CLS ensembles with N f = 2 + 1 dynamical quarks and a quenched charm quark.Noise reduction techniques are used to improve significantly the statistical precision of the dominant light quark contribution.The main source of systematic error comes from finite size effects which are estimated using the formalism described in Ref. [7] and based on our knowledge of the timelike pion form factor.The strange and charm quark contributions are under control and an estimate of the quark-disconnected contribution is included.Isospin breaking effects will be studied in a future publication but are included in the systematic error using an estimate based on published lattice results.Our final result, a hvp µ = (720.0± 12.4 ± 6.8) × 10 -10 , has a precision of about 2%.
RANCANG BANGUN APLIKASI SISTEM E-LEARNING MENGGUNAKAN METODE PROTOTYPING PADA SMAN 4 BAUBAU

&lt;p&gt;&lt;em&gt;E-learning is an electronic-based learning process that is bridged by internet technology. SMA Negeri 4 is a high school located in the city of Baubau that has not implemented learning with the e-learning system. The purpose of this study is to create and design a web-based e-learning learning system that can provide learning material to students online. This research uses qualitative research methods with descriptive design by observation and interview. The research resulted in a website application that can make it easier for teachers to provide additional study materials in the form of homework daily test questions, UTS questions, UAS questions and facilitate students. To enter the digital classroom to do the learning process, access materials and work on the questions given by the teacher so that students more easily interact with the teacher online.&lt;/em&gt;&lt;/p&gt;
Big Data Platform for Analysing Crime Evidences

During a criminal investigation, the evidence collection process produces an enormous amount of data. These data are present in many medias that are extracted as crime evidences (USB flash drives, smartphones, hard drives, computers, etc). Due to this data volume, the manual analysis is slow and costly. This work fulfills this gap by presenting a data extraction and processing platform for crime evidence analysis, named INSIDE. Our proposed platform leverages a lambda architecture and uses a set of tools and frameworks such as Hadoop HDFS, Kafka, Spark and Docker to analyze a big volume of data at an acceptable time. We also present an example of the proposed platform in use by the Public Ministry of Rio Grande do Norte(Brazil), where some evaluative tests have been carried out.
Performance Comparison between Paramiko and Netmiko Libraries in Network Automation Process

Configuring network devices in a large network needs a relatively long time when manually configured by a network administrator. Thus, it will make the possibility of error in writing configuration commands becomes even greater. The concept of network automation can be a solution to these problems. The configuration process will be centralized. A programming language is needed in order to make the concept of network automation to communicate between the central computer and all devices in the network. In this research, two libraries in the Python programming language are used, namely Paramiko and Netmiko to enable dynamic routing processes on routers wherein the routing protocol used is Open Shortest Path First (OSPF). The experiment results of a comparative test of the performance of the network automation process show that the use of the Paramiko library provides a 4.14 time faster configuration time than Netmiko.
The Impact of Human Capital Management and Resiliency on Employees Productivity

Human resources practices are considered one of the most important practices which should be practiced to maintain effective and efficient operations in the workplace. To increase the performance of alpha banks in Lebanon, Human Resources Development practices is the most important method that associations effort to retain the capability stages of their human resources. Since the Lebanese Banks in general and the Alpha banks in specific are facing a high employee turnover rate in the workplace because of absence of employee engagement practices and absence of talent management programs and human capital programs- the thing which demotivated employees and pushed them to search for a new job that best suits their needs and ambitions to develop their career. The Lebanese Banking Sector has been suffering recently from a fluctuation in its performance due to absence of efficient and effective human resources- practices in the workplace which resulted in a high turnover rate and by that affecting the overall productivity. The research will implement a mixed approach throughout distributing surveys over 370 participants in the Lebanese Alpha Banks, and through conducting in-depth interviews with managers in the Lebanese Alpha Banks. The research findings complied with the literature review findings and proved that the higher the empowerment, the higher the employees’ performance will be reflecting a higher productivity.
PUSH NOTIFICATION MONITORING SISTEM PINTU AIR BERBASIS ANDROID MENGGUNAKAN FIREBASE CLOUD MESSAGING

Flood disaster is very common, especially in Jakarta City. One way to control water debit is to create a dam or reservoir. In each reservoir there is a water gate which serves to dispose of unwanted water gradually or continuously according to the water volume present in the dam. The Regional Disaster Management Agency (BPBD) Jakarta City needed a system that can monitor any existing water gates of the reservoir, this is to facilitate water gate inspectors to provide information. By using firebase cloud messaging technology that will be applied in the application of push-based android water doors. The application will provide notification and water gate data in real time, making it easier for users to get data in real time. Firebase Cloud Messaging is a cross platform solution that allows you to send messages reliably at no cost. In addition, the use of API as a processing medium to pull data from the web BPBD, optimize its function to mobile android. BPBD as the agency that tackling the disaster can know the state of the environment quickly and accurately. Applications created not only made for BPBD only but the general public can also to know the condition of the water gate. In addition, there are also ways of handling floods and what to do at each level of water level.For the next, this application can add other technollgy also IoT technology.