Reviewerly/exHarmony huggingface dataset:
Paratextual Translation Strategies of the English Version of the Three-Body Problem

The Three-body Problem has many a reader in China and has aroused great response after being translated into the West. With the development of translation studies, we should pay attention to translation strategies at the textual level and attach importance to the generation and selection of various paratexts complementary to the translating. In view of this, the purpose of this paper is aimed to examine translation strategies of the English version of The Three-body Problem in terms of paratexts, and to explore how it works to help the target text to be widely and successfully disseminated and translated in the English world.
An Analysis of Ecolexicon in Petatah Petitih of Minangkabaunese Wedding Ceremony Found in Lintau Buo

This research breaks down about sorts of ecolexicon in pantun of petatah petitih in Minangkabaunese wedding ceremony found in Lintau Buo sub-area. The point of this research is to discover the ecolexicon in the wedding ceremony and its connection to the biological condition of the locale. This research used descriptive qualitative method. The aftereffect of this exploration shows that the most widely recognized sort of ecolexicon discovered is biotic lexicon with flora 10 data, at that point fauna lexicon 7 data and the latter is abiotic lexicon which discovered 10 data. The outcome shows that all ecolexcion utilized in the petatah petitih of the wedding ceremony are additionally found in the ecological environment of the locale.
Implementation of video surveillance system using embedded Blackfin processor

&lt;p class="NormalLinespacing15lines"&gt;The video surveillance is critical system to track the people at the various places and to track and monitor the nuciencess bound to be happened. On the other side several studies have proved and showed the hit and miss nature of human intervention to spot change in a surrounding environment which increasing the designer challenges for the development of video surveillance system with the help of embedded processor. The designer faces a greater challenge to apply the principle of embedded systems and develop the system smart features with low power and cost for the required applications of VSS. System requirement specification (SRS), Hardware design document (HDD), Software design document and test procedure has been arrived and developed to achieve VSS system. Blackfin processor has high end video engines and is more suitable for development of video surveillance system (VSS). The VSS is designed and developed using ADSP BF533 Ez-kit lite board. Peripheral like parallel peripheral interface (PPI) is used to interface between camera and processor. Also, it is used for interfacing processor and TV. The master-slave communication is established between two Blackfin processors through SPORT to transfer the captured frame from camera to display on TV. Power management is also implemented to save the power of the system.&lt;/p&gt;
INSTILLING CHARACTER VALUES USING JIGSAW IN TEACHING GRAMMAR AT THE SECOND SEMESTER OF ENGLISH TEACHING AND LEARNING PROGRAM IAIN MADURA

Building nation character should be always done specially by the teacher in the school bacause nation character is one of fundamental elements in preventing this nation from the attack of foreign or western cultures which are not suitable with our cultures. This study aimed at decribing the character values inserted in teaching grammar using jigsaw. The study used descriptive qualitative field research. The data obtained through observation, documentation, and interview. After analyzing the data, it was found that character values were inserted through jigsaw activity. The character values found were tolerance, democratic, curiousity, communicative, responsible. This reseach is expected to contribute to build nation character through teaching and learning process.
Rancang Bangun Penggerak Pointer Pada Layar Proyektor Dengan Menggunakan Kamera 3D

HCI (Human Computer Interaction) is the interaction between humans and computers and design technology that enables humans to interact with computers in new ways. Especially in the field of presentation, humans are not near a computer to move one menu to another menu. With the development and use of technology for virtual media will be realized as a means of information and communication one of which is to use a 3D camera. Where this 3D camera is used to facilitate the user in the presentation method, so the user does not use the settings found on the computer, but the user can control the presentation with human body movements, the 3D camera used for this presentation is a 3D camera that functions as a mouse replacement for the controller menu on a computer, capture with regulated movements is body movements such as right hand movements that can control the menus on the computer that you want to present. With the application of a 3D camera as a media presentation can facilitate the user in delivering information using the presentation method. For a distance of 2.8 m touch an object with a touch screen, obtained 80% accuracy. For height with the best accuracy of the touch screen is at 178 cm. As for the height of 185 cm having difficulty reaching the touch screen the application has been determined.
Translation Shift of ‘Jakarta Post’ newspaper on Monday, November 17, 2014 page 5, the first column with the title “UNHAS deputy rector named as suspected drug user”

Translation shifts is a changing of form when it is translated from the source language into target language. In this study writer focus in translation shift and the most dominant of shift in the process of translating a discourse in “Jakarta Post” newspaper. This study conducts on the descriptive qualitative method. Descriptive design simply describes what data shows. In order to account for this, the writer use a wide variety of translation shift in order to accurately translate any given text. Based on the data analysis which is taken from ‘Jakarta Post’ newspaper on Monday, November 17, 2014 page 5, first column with the title “Unhas deputy rector named as suspected drug user”. The Jakarta Post is a daily English-language newspaper in Indonesia. The paper is owned by PT Niskala Media Tenggara and based in the nation's capital, Jakarta. The writer use theories of Catford, there are any major types of translation shifts. They are structure shift, unit shift, class shift and intra – system shift. In 20 sentences (including the title) the writer use 13 times to structure shift (44.9%), 9 times to unit shift (31.1%), 1 time to class shift (3.4%) and 6 times to intra – system shift (20.6%). So, Structure shift is the most dominant that be used by writer to translate the data.
Research Review and Hotspots Analysis of Vocational Education in China: Based on the Statistics of the Paper Output of the National Education Science Planning Project from 2015 to 2019

Using the bibliometric method, the paper output of Vocational Education Project of the National Education Science Planning from 2015 to 2019 were analyzed statistically according to the project type, journal, author, institution and high-frequency keywords. The statistical results show that the number of papers supported by the National Project is superior to that of the Ministry of Education, which indicates that the scientific research team of the National Project has a strong strength. More than half of the papers were published in core journals. Researchers from universities and vocational colleges jointly constitute the most high-yield authors. High-yield institutions are mainly composed of universities, while the vocational colleges need to be strengthened. The research focuses on the integration of industry and education, modern apprenticeship, Double High Plan, foreign vocational education and training, etc.
EFFECTIVENESS OF USING CALL FOR TEACHING WRITING

D evelopment of the networking system  today give  some possibilit ies  for students ’ learning language through CALL . Although there is a great benefit of computer assisted language learning on learners’ language performance in fact, yet many schools and universities do not utilize their classrooms and their computer laboratory to teach. The study used quantitative -qualitative  data to investigate the effectiveness of CALL. Approach implemented in this research was experimental one group pre- post-test design. The total population of this study was 157 of the Health Department students in University of Aisyiah Yogyakarta of academic year 2019/2020 who took English For Daily Usage.  Data was collected by student’s pre and post test and the interviewing process. Data  was analyzed by using SPSS version 21. The students’ achievement data were taken  from pre- and post-test tests’ result . This s tudy serves other evidence s  toward how effective  of using e-learning in our local teaching and learning environment supported by student’s higher proficiency score of their writing post-test.  A pproach a pplied and showed  in https://unisayogya.learnsocial.online/  may overcome some shortcomings of traditional method of writing to some extent by providing feedback on  students’ mistakes or errors.
A Research Paper on Modern Technology

God's gift is science. It may be the best of God's blessings after the gift of life. He has been the mother of civilizations, of science and of arts. Technology definitely changed our way of living. It has influenced different aspects of life and redefined culture. In all spheres of life, technology definitely plays an important role. Thanks to technology, several repetitive activities can be automated. Many complicated, essential procedures with the aid of modern technology can also be carried out easily and efficiently. Due to technical innovation, livelihoods have shifted and strengthened. The world of schooling has been revolutionized by technology. In colleges, we cannot ignore the importance of technology. Yes, it became simpler for instructors to collaborate and students to acquire knowledge with the advent of computers in school. The use of technology has made the teaching and learning cycle much more fun.
Research on Curriculum Resource-oriented Fusion Knowledge Graph and Multi-task Feature Recommendation Algorithm

Since some data are unavailable and missing when collecting course data, resulting in thegeneration of missing values in the data, making data sparsity and cold start problems whenrecommending course resources, researchers usually use additional information to mitigate theproblem of reduced accuracy due to missing values. In this paper, a recommendation algorithmwith more accurate output results is proposed based on a multi-task feature learning approach,using the course knowledge graph as auxiliary information. The algorithm is based on an endto-end framework for deep learning, with the knowledge graph embedded in the tasks to assistin recommendation, and the tasks are correlated with each other through cross-compressionunits, and automatically share potential features, learn items in the recommendation algorithmand higher-order connections between entities in the knowledge graph to build arecommendation model.
Problems and Prospect of Countering Religious Extremism in the Kazakhstan Republic Including Problems of Bioterrorism in Religional Extremism

Today, the problem of religious extremism is a fairly widespread problem throughout the world, which requires an immediate solution. However, the question of the classification of such currently has its own specifics and problems due to the repeated theories of criminal punishment due to a certain level of merging of such in the interdisciplinary sector. As such, it can be assumed that, by classification, religious extremism covers not only the theory of criminal offenses, but also many aspects of jurisprudence, theology and sociology, and even psychology. Consequently, when considering the types of confrontation and state tactics of the authorized bodies of the state territorial unit on the fight against religious extremism, it is necessary to consider human factors, which include in addition to legal sociological, psychological and even pedagogical aspects. Accordingly, it can be stated that an interdisciplinary approach is of high value when studying this issue.
Cyber Crime: A Growing threat to Indian E-Banking Sector

Information and communication Technology has become an integral part of our day to day life. With the cheap availability of broadband and smart phones, almost everyone has access to the cyber space, connecting virtually at millions of online users across the globe. Increasing use of cyber space has also made us vulnerable to cybercrime threats. A minor laps/ negligence in managing our digital life can open doors for cybercrimes and hence can lead to financial loss. So, we must be vigilant and careful while connecting digitally to the outside world whether for financial transactions, social networking, playing games or searching things on the internet etc. This paper provides an overview of cyber crimes in E- banking sector and general tips to prevent themselves from becoming a victim of cybercrime.
Energy-Efficient Data Symbol Detection via Boosted Learning for Multi-Actuator Data Storage Systems

Machine-learning-based readout channels are presented for direct data symbol detection via decision-tree classification with gradient boosting for multiple-actuator data storage systems. The proposed learning module integrates energy-efficient linear classifiers to extract features and structures from raw readback signals. The results demonstrate high detection accuracy, which is robust to inter-symbol interference (ISI) and jitter noise. The low-complexity machine learning module classifies low signal-to-noise ratio raw data with an accuracy rate higher than 95.8% in real-time and consumes only 53 mW.
Keefektifan Model Pembelajaran Kooperatif Tipe Picture And Picture dalam Penguasaan Kosakata Bahasa Mandarin Siswa

Abstract. This research is a One Group Pretest-Posttest Design study which aims to determine the effectiveness of the picture and picture cooperative learning model in the mastery of Mandarin vocabulary for seventh grade students of SMP Frater Makassar. The independent variable in this study is the effectiveness of the picture and picture type of cooperative learning model, while the dependent variable in this study is the mastery of Mandarin vocabulary. The population in this study were students of class VII SMP Frater Makassar with a total of eight classes with a total of 250 students. The research sample is random sample (random sampling). Of the eight classes, VII A was selected as the experimental class and VII B as the control class, with 30 students each. The data from this research were obtained by providing a written pre-test and post-test with the material Introduction. The result of t-test calculation at the significant level of 0.05 obtained the value of tcount = 6.22, which is greater than ttable 2.002, so it can be concluded that the picture and picture type of cooperative learning model is effective in mastering Mandarin vocabulary in class VII students of SMP Frater Makassar. The application of the picture and picture type of cooperative learning model can improve the learning of Chinese vocabulary in students, because this model is an educational model that makes pictures as a medium in the learning process so that it can attract students' attention and interest in mastering Mandarin vocabulary.
LPO Proofs in Two Educational Contexts

The purpose of this paper is twofold.First, it introduces several styles for constructing and writing down mathematical proofs for a specific technique used in theoretical Computing Science.Second, an inventory of pros and cons of these proof styles is made in two educational contexts, namely whether the proof styles help students in understanding the proofs, and whether the proof styles are practical in both written and digital exams.It turns out that there is no clear winner in both contexts, but the newly introduced so-called shuffled Fitch style is the most practical choice.Definition 1 (> lpo ).Let > be an order on the set of function symbols.Let f and g be function symbols.And let t 1 , . . ., t n , u, u 1 , . . ., u m be terms.Then f (t 1 , . . .,t n ) > lpo u if and only if 1. there exists i ∈ {1, . . ., n} such that
Statistical analysis of the dependence of the development level of patriotic feelings of adolescents on the structural components

We analyze the dependence of the development level of patriotic feelings in adolescents on the components that characterize the cognitive abilities, values and motivation, skills of adolescents. On the basis of the correlation-regression analysis, a high closeness of connections between the resulting feature (level of patriotism) and factors-components is revealed. The study presents methods that allow a comprehensive assessment from a quantitative and qualitative point of view, each component, to determine the individual characteristics and inclinations of an individual, its potential in the process of education and upbringing, social adaptation. In addition, it is substantiated that with an increase in the level of patriotism, the score of the components rises. The upbringing of patriotic feelings in adolescents is a complex process based on a holistic approach to the upbringing of a personality, its development, which includes the development of the highest moral qualities. Patriotic education at various stages of the development of society is conditioned by social and economic, political events that took place in a particular country. The basis in patriotic education is a person who has the appropriate knowledge, has the highest moral and spiritual and moral qualities. Thanks to the developed program of patriotic education “I am a patriot” in the institution of additional education, adolescents have significantly increased the level of patriotism.
Facilitating information extraction without annotated data using unsupervised and positive-unlabeled learning.

Information extraction (IE), the distillation of specific information from unstructured data, is a core task in natural language processing. For rare entities (<1% prevalence), collection of positive examples required to train a model may require an infeasibly large sample of mostly negative ones. We combined unsupervised- with biased positive-unlabeled (PU) learning methods to: 1) facilitate positive example collection while maintaining the assumptions needed to 2) learn a binary classifier from the biased positive-unlabeled data alone. We tested the methods on a real-life use case of rare (<0.42%) entity extraction from medical malpractice documents. When tested on a manually reviewed random sample of documents, the PU model achieved an area under the precision-recall curve of0.283 and Fj of 0.410, outperforming fully supervised learning (0.022 and 0.096, respectively). The results demonstrate our method's potential to reduce the manual effort required for extracting rare entities from narrative texts.
Distance learning in elementary school - participant experiences at the upper elementary level (5th-8th grade)

The aim of this paper is to present the results of a quantitative research study of the experiences of pupils, their parents and teachers involved in distance learning at the upper elementary level. The research sample consisted of 517 pupils (5th-8th Grade), 458 parents and 53 teachers at the Vladimir Nazor Elementary School in Pazin. The results show that pupils felt overloaded, strained and confused as a consequence of not interacting with their teachers in person. Nevertheless, the interactive learning materials and the convenience of distance learning were seen as benefits of the programme. For the pupils’ parents, the biggest hurdles were lack of time, lack of comprehension of educational resources, work commitments and the inability to handle ICT well. The teachers missed the ability to further clarify instructions, but the biggest obstacles for them were not being able to test their pupils’ knowledge of the subject content and organizing their work schedule. Despite the issues, both the parents and the teachers were satisfied with how distance learning was organized. The results have important implications regarding educational practices, but they also indicate the importance of further research in the field of distance learning.
LibGuides: Classroom Management: Journals

This guide is for the subject of Classroom Management. It contains resources available in the NCU Library.
Deep representation learning from imbalanced medical imaging

Medical imaging plays an important role in disease diagnosis, treatment planning, and clinical monitoring. One of the major challenges in medical image analysis is imbalanced training data, in which the class of interest is much rarer than the other classes. Canonical machine learning algorithms suppose that the number of samples from different classes in the training dataset is roughly similar or balance. Training a machine learning model on an imbalanced dataset can introduce unique challenges to the learning problem. A model learned from imbalanced training data is biased towards the high-frequency samples. The predicted results of such networks have low sensitivity and high precision. In medical applications, the cost of misclassification of the minority class could be more than the cost of misclassification of the majority class. For example, the risk of not detecting a tumor could be much higher than referring to a healthy subject to a doctor. The current Ph.D. thesis introduces several deep learning-based approaches for handling class imbalanced problems for learning multi-task such as disease classification and semantic segmentation. At the data-level, the objective is to balance the data distribution through re-sampling the data space: we propose novel approaches to correct internal bias towards fewer frequency samples. These approaches include patient-wise batch sampling, complimentary labels, supervised and unsupervised minority oversampling using generative adversarial networks for all. On the other hand, at algorithm-level, we modify the learning algorithm to alleviate the bias towards majority classes. In this regard, we propose different generative adversarial networks for cost-sensitive learning, ensemble learning, and mutual learning to deal with highly imbalanced imaging data. We show evidence that the proposed approaches are applicable to different types of medical images of varied sizes on different applications of routine clinical tasks, such as disease classification and semantic segmentation. Our various implemented algorithms have shown outstanding results on different medical imaging challenges.