Reviewerly/exHarmony huggingface dataset:
Strategi Menerjemahkan Wacana Bahasa Jepang Ke Dalam Bahasa Indonesia Dengan Menggunakan Google Translate Oleh Mahasiswa Program Studi Pendidikan Bahasa Jepang Fkip Universitas Riau

This study discusses the strategy of translating Japanese discourse into Indonesian by Japanese Education Department Riau University. 60 data were collected from 2 discourse whuch will be translated by 30 students. They were asked to translated discourse on sports and social themes using Google Translate. This research using the translation strategy theory proposed by Suryawinata & Hariyanto (2003: 67), addition, deletion, transposition, borrowing, komponential analysis, synonymy and modulation, by Gambier (2006), deletion, addition and substitution and translation procedures by Newmark (1998) (transposition, modulation, adaptation, contextual conditioning, transference and functional conditioning). Findings showed that the students tended to use the transposition and substitution strategy in their translation. This affected the quality of the translation, making it less natural in the target language. In addition, there was mistranslation due to inaccurate/wrong word choices, causing the messages within the source text to fail to be conveyed. This study is hoped to bring valuableinput for the translation studies and courses in the future.Key Words: Translation Strategy, Google Translate
Teaching English Vocabulary by Using Last One Standing Game at the Third Grade Students of SMP Tamalatea Makassar

finding out whether Last One Standing Game improves the students’ vocabulary achievement. In this research, the researchers used Pre-experimental method with one group pretest-posttest design. The population of the research was the third grade students of SMP Tamalatea Makassar. The total number of population was 18 students. In determining the sample, the researchers used total sampling technique. The total number of sample was 18 students. Based on the statistical analysis, it is found that the students’ mean score in pretest and posttest was different (24.17<77.22). So, the mean score of posttest was higher than the mean score of pretest. Based on the data above, the researcher concludes that the use of Last One Standing Game can improve the students’ vocabulary mastery of SMP Tamalatea Makassar
Segmentasi Tambal Gigi (Filling) pada Dental Panoramic Xray Menggunakan Metode Multiple Morphological Gradient (mMG)

Segmentation is an image processing that can separate the area of objects with unwanted areas or foreground and background by distinguishing the intensity of the gray level pixels on an object from the neighboring gray level. This study discusses for filling segmentation using 116 Dental Panoramic Xray images as a trial input image. The results of these 116 images obtained as dental problems with the type of crown, bridge and filling (dental fillings). In the first step, the image will be converted into grayscale process, then the image which will be contrasted by contrast stretching process, as well as using the morphological filtering of the dilation and erosion and continued by detecting the edge of the gradient morphology to improve image quality. Next will be segmented with the multiple morphological gradient method and the final step is imcomplent. In this study, the percentage accuracy obtained from the dataset based on the expert is equal to 70.69% of the dataset, while it is obtained from the results of the program that is equal to 61.20% of the dataset. Which means, only 9.49% fishing between the results of the expert with the results of the study. So, based on the results obtained, the method intended can be used for dental patching segmentation on Dental Panoramic Xray.
Definition of a Uniform Resource Name (URN) Namespace for the Schema for Academia (SCHAC)

This document describes a Uniform Resource Name (URN) namespace forthe Schema for Academia (SCHAC). The namespace described in thisdocument is for naming persistent resources defined by the SCHACparticipants internationally, their working groups, and otherdesignated subordinates. The main use of this namespace will be forthe creation of controlled vocabulary values for attributes in theSCHAC schema. These values will be associated with particularinstances of persons or objects belonging to any of the SCHAC objectclasses. This document obsoletes RFC 6338.
Design and Practice of Hybrid Interactive Teaching Platform for Product Design Specialty under The Background of Internationalization

In view of the mobile learning environment under the background of Internet plus, this paper discusses the interactive teaching reform process by using the hybrid learning theory and taking the product design course under the background of internationalization as an example. We fully apply the idea of hybrid teaching mode to the system design, and use three open source frameworks based on J2EE, Struts2, Hibernate and Spring to realize the development of course production platform. The platform uses the distributed file system MySQL to realize the storage and management of massive teaching resources, and uses the consistent hash algorithm to improve the efficiency of file and data storage and access. Finally, the network learning environment of product design course is constructed by using cloud services. The application effect of e-learning space is investigated and analyzed from two aspects of basic application and learning investment, which verifies the feasibility and effectiveness of hybrid teaching mode.
하이브리드 LSTM기반 제조로봇 고장예지 시스템의 설계 및 구현

values and thresholds were set. And then data preprocessing was performed using linear interpolation. The proposed model learns based on the steady-state data of manufacturing facilities. Then, the input vector of preprocessed data was sampled using a hybrid long short term memory (H-LSTM) circulatory neural network model and used for learning. In order to verify the proposed method, data were collected based on two fault conditions and the experiments were performed based on the two fault conditions. The degree of abnormality is expressed by measuring the root mean square error(RMSE) between the output of each state data and the prediction result. The experiments verified the accuracy of the proposed failure prediction technique.
LibGuides: Public Speaking Course Guide: Search Strategies

Recommended search tools and strategies for informative and persuasive speeches in SPCH-S 121.
Revisiting the knowledge management audit: learning from practice in a high-performance sport organisation

In the academic literature and applied practice, there is no ‘one size fits all’ model of knowledge management (KM), contributing to the persistent dilemma of how practitioners introduce KM in organisations. The multiple definitions and perspectives in the field have varied implications for KM implementation. Further, the organisational context plays a key role in shaping an organisation’s KM strategy and how it is implemented. The literature points to the need for an integrated effort for effective KM implementation, recognising the need to simultaneously account for organisational strategy, culture and infrastructure, and multiple networks of knowledge. Knowledge audits have been cited as a critical first step in designing and implementing KM. However, the current knowledge audit methodologies predominantly adopt a systematic, snapshot and fragmented approach to inquiry conducted by external consultants. This appears to be inconsistent with the need for integrated KM, considering the interconnectedness between multiple factors or dimensions for effective KM implementation. Further, an isolated, snapshot evaluation of the context would be insufficient to study and design practice in organisations marked by complex system dynamics. This paper builds on Sohal, Ragsdell and Hislop’s (2017) work-in-progress paper that proposed a KM audit methodology for conducting a systemic inquiry in a case study organisation, aimed to enhance sustainability of KM. The study was conducted in a high-performance sport organisation, identified as knowledge intensive and public sector, and characterised by complex system dynamics. The study adopted an action research approach to contribute to theoretical and practical knowledge as well as the lead author’s (LA) own learning, which in turn was instrumental in the evolution of the methodology. This paper discusses the implementation of the methodology as well as LA’s reflections and learning, highlighting specific revisions to the methodology.
Research Guides: Python Resources: Library Resources

An overview of the capabilities of the Python programming language and resources for learning Python.
A Study on Satisfaction and Performance in Online Learning Caused by COVID-19: A Moderating Effect of Self directed Learning Ability

본 연구는 대학생들이 코로나19 사태라는 특수한 상황과 이로 인한 온라인 학습을 받아들이는 태도가 학습 만족도 및 성과에 영향을 미치는지 알아보고, 이때 학습자의 자기주도 학습 능력이 두 변인 간의 관계를 어떻게 조절하는지를 실증적으로 분석해 보고자 수행되었다. 이를 위해 코로나19 사태로 인해 온라인 학습을 경험하게 된 E대학교 학부생 중 2019-2학기와 2020-1학기를 모두 수강하였고, 응답 시점에서 3학기 이상을 이수한 대학생들을 대상으로 설문조사를 실시하였다. 자료 분석은 기술통계와 빈도분석, 상관분석, 타당도와 신뢰도 검정, 확인적 요인 분석을 실시하였고, 마지막으로 구조방정식 모델 분석을 통해 조절효과를 검증하였다. 연구 결과 첫째, 학습자들은 코로나19로 인한 학습 환경의 변화를 부정적으로 인식하고 있었다. 둘째, 코로나19에 대한 인식과 학습 만족도 사이에는 유의미한 정적 상관관계가 존재하였으나, 코로나19에 대한 인식과 학습 성과 간에는 유의미한 관계가 나타나지 않았다. 셋째, 자기주도 학습능력은 코로나19와 이로 인한 온라인 학습에 대한 인식과 학습 만족도 및 학습 성과 사이에서 조절효과를 보이지 않았다. 본 연구는 이러한 결과를 통해 코로나19 상황이 장기화됨에 따라 학습자들에게 불안과 스트레스 특히, 학습에 대한 무력감 등 부정적인 영향을 미칠 것을 인지하고, 대학 내에서의 학습자의 의욕을 고취시킬 수 있는 온라인 학습 환경을 조성하기 위한 고찰과 더불어, 스트레스를 완화하기 위한 심리 상담 등의 지원과 함께 자기주도 학습능력을 발휘할 수 있는 학습여건 조성 등 관련 제도의 확대 및 내실화를 위한 시사점을 제공했다는 점에서 의의가 있다.This study investigated how college students attitudes to accepting online learning and the situation of the COVID-19 outbreak affected their learning satisfaction and performance, and to determine how learners self-directed learning ability regulates the relationship between the two variables. To this end, descriptive statistics, confirmatory factor analysis, and structural equation model analysis were conducted using the data surveyed on undergraduate students in E University. As a result of the study, first, learners negatively perceived the change in the learning environment caused by COVID-19. Second, there was a significant positive correlation between awareness of COVID-19 and learning satisfaction, but no significant relationship between recognition and learning outcomes. Third, self-directed learning ability did not show a moderating effect between the perception of COVID-19 and subsequent online learning, learning satisfaction, and learning outcomes. This study recognizes that the prolonged COVID-19 situation will have negative effects on learners, such as anxiety and stress, especially with a sense of helplessness in learning. This study has implications for creating an online learning environment that can inspire learners in universities, to provide support counseling to relieve stress, and to create learning conditions that can facilitate self-directed learning abilities.
Research Guides: Databse Trials & Renewals (specific to LSC-UP Library): Current Trials

Learn more about the UP-specific database licenses and provide feedback to help us decide what to add or remove.
ANALISIS KUALITAS WEBSITE E-LEARNING UPN VETERAN JAKARTA TERHADAP KEPUASAN PENGGUNA MENGGUNAKAN METODE WEBQUAL 4.0 DAN IMPORTANCE-PERFORMANCE ANALYSIS (IPA) BERDASARKAN PERSPEKTIF MAHASISWA

The pace of technological development in Indonesia has been speeding up exponentially over the time, many educational institutions began to use the internet as a new medium to assist the online teaching learning process. E-learning is an example of technological development that implemented by educational institutions in Indonesia to ease the teaching learning process without being limited by distance and time. Universitas Pembangunan Nasional Veteran Jakarta is one of educational institutions that has been implementing their teaching learning process through the e-learning, known as elearning40.upnvj.ac.id. In order to assist the e-learning development, it is necessary to do quality evaluation with the WebQual 4.0 method that has three variables, they are usability, information quality, and service interaction quality and also 22 indicators. The method for data analyzing is Importance-Performance Analysis (IPA) to measure the level of the gap between perceived service and the expected service, so that it provides ideas regarding the indicators that require improvement or maintenance. The result of the analysis shows that the average of gap analysis on all of the attributes are negative which means overall quality of the e-learning website does not meet user expextations, other than that on the mapping which based on the Importance-Performance Analysis there are 13 attributes that are considered as important by the users and it need action priotrity, they are in the first and second quadrant.
Structuring the water quality policy problem: Applying Q-methodology to explore perspectives in hydrology, government, and community

&amp;lt;p&amp;gt;Recognizing the interrelatedness of water management and conceptual value of IWRM, many water resource governance systems are shifting from hierarchical arrangements towards more collaborative and participative networks. Increasing calls for participation recognize the value of drawing on social, political-administrative, and other kinds of knowledge in addition to technical water expertise. Participatory mandates, coordination bodies, and science-policy networks have emerged to facilitate knowledge integration, promote adaptive capacity, and align organizations in poly-centric systems.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Since the maintenance and effectiveness of such arrangements are contingent on trust and alignment rather than command and control, and since diverse stakeholders are engaged to co-produce knowledge, collaborators must grapple with identifying shared goals, developing knowledge management strategies to organize inputs, and attaining early progress to promote ongoing cooperation. But guidance is limited with respect to how such integrative aims are to be accomplished.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;This research explores how systematic (but not necessarily convergent) problem structuring can support the forming, reordering, and cohering of water resource networks, especially when a complex issue &amp;amp;#8211; in this case, water quality management &amp;amp;#8211; rises to prominence on the policy agenda. In the early stages of a water quality project in the Brantas River Basin, Indonesia, stakeholder discussions suggested divergent conceptualizations of water quality and ideas about what conditions &amp;amp;#8216;matter&amp;amp;#8217;. Thus, instead of taking hydrological data as the starting point, this research first asks: What Brantas River(s) are we talking about, and why? Q-methodology is used to identify alternative perspectives on water quality held by a diverse set of stakeholders, including hydrologists. The analysis explores which aspects of the policy problem are consistent, which are contested, and whether problems indicated by hydrological science overlap, conflict, or cohere with those perceived by other stakeholders.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The research posits that, if scientists, engineers, decision-makers, community leaders, and other participants can appreciate areas of convergence and divergence regarding the water quality problem itself, they can lay groundwork for knowledge co-production; recognize opportunities for cooperation; better locate science in the problem space; and identify potential early wins to secure commitment. The research also asks to what extent consensus in problem structuring is necessary, or whether it is sufficient to identify strategies that are acceptable to different ontological viewpoints.&amp;lt;/p&amp;gt;
LibGuides: 855XS2019Spring-Accessing New Digital Materials via Hoopla and Libby: New Digital Materials

This guide reveals how we have budgeted our $5,000 towards new digital materials, and how to access those new materials as a library user. About the new digital materials at LPL.
Unsupervised Brain Anomaly Detection and Segmentation with Transformers

Pathological brain appearances may be so heterogeneous as to be intelligible only as anomalies, defined by their deviation from normality rather than any specific pathological characteristic. Amongst the hardest tasks in medical imaging, detecting such anomalies requires models of the normal brain that combine compactness with the expressivity of the complex, long-range interactions that characterise its structural organisation. These are requirements transformers have arguably greater potential to satisfy than other current candidate architectures, but their application has been inhibited by their demands on data and computational resource. Here we combine the latent representation of vector quantised variational autoencoders with an ensemble of autoregressive transformers to enable unsupervised anomaly detection and segmentation defined by deviation from healthy brain imaging data, achievable at low computational cost, within relative modest data regimes. We compare our method to current state-of-the-art approaches across a series of experiments involving synthetic and real pathological lesions. On real lesions, we train our models on 15,000 radiologically normal participants from UK Biobank, and evaluate performance on four different brain MR datasets with small vessel disease, demyelinating lesions, and tumours. We demonstrate superior anomaly detection performance both image-wise and pixel-wise, achievable without post-processing. These results draw attention to the potential of transformers in this most challenging of imaging tasks.
LibGuides at Priddy Library: ECED 360: Early Literacy: APA Style

Emerging literacy process in children, birth to age five. Examination of strategies, materials, and experiences for literacy development
Stickers and Memes: Online Social Network Communication

Communication via online social network has generated many graphicons. Stickers and memes are popular graphicons among Thai social network users. This research aims to analyze Thai users’ purposes of using stickers and memes and correlation between stickers and memes in conversation in social media. The results show that stickers and memes have very distinctive purposes of use, despite their similarity in expressions. Memes are mainly used for creating funniness while stickers are used for communicating users’ emotions and feelings for convenience in communication. Moreover, they are both necessary in online conversation on social network. Nonetheless, the majority of users prefer stickers because they think that stickers are more appropriate than memes.
The Analysis of Speech Acts Used by EFL Teachers’ in Classroom Interaction at SMAN 2 Mataram in Academic Year 2021/2022

The purpose of this research was to identify the types of speech acts performed by EFL teachers in classroom interaction at SMAN 2 Mataram in Academic Year 2021/2022 on the basis of Searle’s theory of speech acts and to identify the most dominant kind of speech act. This research was the descriptive-qualitative approach. More specifically this research was classified as a case study. The object of this study was the utterances uttered by the EFL teacher of SMAN 2 Mataram during the teaching and learning process. The data were in the form of words, phrases, and utterances employed by the teacher. The researcher played the role of the primary instrument in which she was involved in all of the processes of this research starting from the research design until the data report. The data were obtained through conducting observations accompanied by an audio-video recording. The data were, then, transcribed into the written form, selected to fit the objectives of the study, recorded into the data sheets, interpreted, and analyzed using the theory of speech acts proposed by Searle. The data were analyzed by using the interactive qualitative method proposed by Miles and Huberman (1994). The researcher used theoretical triangulation. The researcher compared the data of this research to the related theory. The researcher checked the data of speaker utterances based on the directive speech acts theory of Searle. The research findings show that there were four kinds of speech acts performed by the teacher, namely, directive, representative, expressive and commisive. The most frequently used speech acts were directives (70%), while the least frequent speech acts went to commisive (3%). It is because commisive performance only appears when the end of the class. Directives were mostly dominant used by EFL teacher in teaching-learning process. Asking appeared to be the most dominant speech act. The use of directives was understandable since, in restricted discourse like a classroom setting, the relation between the teacher and the students was asymmetrical in nature. The teacher’s use of asking allowed the students to participate more actively in the lesson. By giving the question, the teacher can know whether the students understand or not about the lessons learned. Meanwhile, asking was employed to check the students’ background knowledge.
Effectiveness of Teamwork on Work Performance among McDonald’s Employee in Kota Bharu

Generally, this project aims to study the factors which could affect the effectiveness of teamwork on work performance among McDonald’s employee in Kota Bharu. This study was carried at McDonald’s Kota Bharu and the respondents are among the McDonald’s workers. Four factors have been found to be related to the study and the factors are trust, communication, leadership, and personality. All the four factors are independent variables for the study. Questionnaire have been used to obtain related feedback from the respondents and collecting data whereas to analyse the data, Pearson Correlations Analysis and Independent sample test are used. The result found after analysing the data are for items from hypothesis was significant.
LibGuides: Library Services: Research Help

A guide to provide information and updates on library services during the Coronavirus pandemic.
LibGuides: Business Management: Plagiarism

A guide to assist library users to easily find library resources related to Business management
MOVIE PIRACY TRACKING SYSTEM

Cinema is a major entertainment for people in today’s life. To entertain people a lot of investment is put on cinemas by the film – makers. Their effort is being ruined by few people by pirating the cinema content. They do it by capturing the video in mobile camera and upload it to websites or sell it to people and this goes on. In this paper, a technical method to prevent video recording in movie theatres is presented. An invisible light is projected from the screen to the whole audience that falls on the cameras which are optically sensitive to infra-red light in turn disturbing the acquisition functions of any camera making an illegal recording in the theatre useless. This paper presents a new method to defeat camcorder piracy and realize content protection in the theatre using a new paradigm of information display technology, called Temporal Psycho visual Modulation (TPVM), which utilizes the differences between the human-eye perception and digital camera image- forming to stack an invisible pattern on digital screen and projector. The images formed in human vision are continuous integration of the light ﬁeld, while discrete sampling is used in digital video acquisition which has “blackout” period in each sampling cycle.