Reviewerly/exHarmony huggingface dataset:
PENERAPAN MEDIA AUDIO VISUAL PADA KETERAMPILAN MENULIS PUISI SISWA KELAS V SD 03 BUKIK SIKUMPA KECAMATAN LAREH SAGO HALABAN KABUPATEN LIMA PULUH KOTA

The background of this research is the lack of interest of students in writing poetry. This study aims to describe poetry writing skills using Audio Visual Media of Class V Elementary School 03 Sikumpa Bukik, Lareh Sago Halaban Subdistrict, Lima Puluh Kota Regency based on the selection of diction, majas and suitability of content with the theme. This type of research is quantitative with descriptive method. The number of samples in this study were 22 students. This research data tests the performance of poetry writing skills. Data analysis is done by: checking work results and giving scores, changing scores to grades, looking for averages, classifying poetry writing skills using a scale of 10, and concluding. Based on the results of the study concluded that the average value of poetry writing skills using audio visual media is 78.45 with good qualifications. Judging from the aspect of diction, the average value is 48.86 with almost enough qualifications. Judging from the aspect of majors the average value is 87.45 with excellent qualifications. Judging from the aspect of conformity the content with the theme the average value is 100 with perfect qualifications. So, students are quite skilled in writing poetry using audio visual media.
Few-shot Object Detection with Self-adaptive Attention Network for Remote Sensing Images

In remote sensing field, there are many applications of object detection in recent years, which demands a great number of labeled data. However, we may be faced with some cases where only limited data are available. In this paper, we proposed a few-shot object detector which is designed for detecting novel objects provided with only a few examples. Particularly, in order to fit the object detection settings, our proposed few-shot detector concentrates on the relations that lie in the level of objects instead of the full image with the assistance of Self-Adaptive Attention Network (SAAN). The SAAN can fully leverage the object-level relations through a relation GRU unit and simultaneously attach attention on object features in a self-adaptive way according to the object-level relations to avoid some situations where the additional attention is useless or even detrimental. Eventually, the detection results are produced from the features that are added with attention and thus are able to be detected simply. The experiments demonstrate the effectiveness of the proposed method in few-shot scenes.
Building Web Processing Services with Birdhouse

&amp;lt;p&amp;gt;The Web Processing Service (WPS) is an OGC interface standard to provide processing tools as Web Service.&amp;lt;br&amp;gt;The WPS interface standardizes the way processes and their inputs/outputs are described,&amp;lt;br&amp;gt;how a client can request the execution of a process, and how the output from a process is handled.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Birdhouse tools enable you to build your own customised WPS compute service&amp;lt;br&amp;gt;in support of remote climate data analysis.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Birdhouse offers you:&amp;lt;/p&amp;gt;&amp;lt;ul&amp;gt;&amp;lt;li&amp;gt;A Cookiecutter template to create your own WPS compute service.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;An Ansible script to deploy a full-stack WPS service.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;A Python library, Birdy, suitable for Jupyter notebooks to interact with WPS compute services.&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;An OWS security proxy, Twitcher, to provide access control to WPS compute services.&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;&amp;lt;p&amp;gt;Birdhouse uses the PyWPS Python implementation of the Web Processing Service standard.&amp;lt;br&amp;gt;PyWPS is part of the OSGeo project.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The Birdhouse tools are used by several partners and projects.&amp;lt;br&amp;gt;A Web Processing Service will be used in the Copernicus Climate Change Service (C3S) to provide subsetting&amp;lt;br&amp;gt;operations on climate model data (CMIP5, CORDEX) as a service to the Climate Data Store (CDS).&amp;lt;br&amp;gt;The Canadian non profit organization Ouranos is using a Web Processing Service to provide climate indices&amp;lt;br&amp;gt;calculation to be used remotely from Jupyter notebooks.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In this session we want to show how a Web Processing Service can be used with the Freva evaluation system.&amp;lt;br&amp;gt;Freva plugins can be made available as processes in a Web Processing Service. These plugins can be run&amp;lt;br&amp;gt;using a standard WPS client from a terminal and Jupyter notebooks with remote access to the Freva system.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We want to emphasise the integrational aspects of the Birdhouse tools: supporting existing processing frameworks&amp;lt;br&amp;gt;to add a standardized web service for remote computation.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;Links:&amp;lt;/p&amp;gt;&amp;lt;ul&amp;gt;&amp;lt;li&amp;gt;http://bird-house.github.io&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;http://pywps.org&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;https://www.osgeo.org/&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;http://climate.copernicus.eu&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;https://www.ouranos.ca/en&amp;lt;/li&amp;gt; &amp;lt;li&amp;gt;https://freva.met.fu-berlin.de/&amp;lt;/li&amp;gt; &amp;lt;/ul&amp;gt;
Trial by Media in the Context of Online New Media: An Analysis Based on "Death of Jiang Ge"

&lt;p align="justify"&gt;At the end of 2017, Chinese student Jiang Ge was murdered in Japan. With the help of the online we-media Mi Meng and others, there is widespread attention in China. The moral condemnation by online we-media of Liu Xin, another victim of the case, and online violence has become another case that the media makes the judge before the judiciary. Trial by media is not a new subject, and in the cyber age, especially with the increasingly prosperous development of online media, the “trial by media” power cannot be underestimated. This article, taking the “Death of Jiang Ge” as a perspective, briefly analyzes the causes and characteristics of the trial by online we-media in the Internet age, and puts forward some thoughts on the prevention and control strategies of the “trial by media” in the future.&lt;/p&gt;
DEVELOPMENT OF A CHILDREN QUESTIONNAIRE FOR MEASURING CHINESE CHARACTER LITERACY LEARNING SATISFACTION

There are limited reports about development of questionnaire to measure learning satisfaction among young children. In this research, guidelines were listed for developing a questionnaire that gauges Chinese Character Literacy Learning Satisfaction (CCLLS) among 8-year-old children. The research was undertaken based on the responses of 232 children from 11 Chinese national type primary schools (SJKC) of Kota Kinabalu, Sabah, Malaysia. The CCLLS questionnaire consists of 12 items developed through three dimensions of satisfaction, which are (1) Satisfaction towards Chinese characters writing, (2) Satisfaction towards Chinese characters recognizing, (3) Satisfaction towards the learning in classroom. Rasch analysis was used to examine the item polarity. The result showed point measure correlation was within 0.47 – 0.60. The items were also detected with the outfit mean square in the range of 0.76 – 1.24, indicating CCLLS was fit to measure the children’s learning satisfaction. The raw variance explained by measures (33.3%), the unexplained variance in first contrast (9.1%), with the eigenvalue (1.6%) from the principal component analysis, suggested that CCLLS could be unidimensional. The internal consistency was considered very high with 0.81 in Cronbach’s alpha (KR-20). The result also showed CCLLS has very good item reliability (0.91) with good item separation index (3.23). The person reliability (0.77) was in satisfactory range with moderately good person separation index (1.81). The findings indicated that CCLLS questionnaire could be a valid and reliable tool in measuring Chinese character literacy learning satisfaction among 8-year-old primary school children of SJKC. Keywords: children questionnaire, Chinese Characters Literacy Learning Satisfaction, Rasch analysis, validity and reliability
Science and Technology News English-Chinese Translation from the Perspective of Skopos Theory—A Case Study of China Daily Bilingual Website

With the rapid development of science and technology in China, there are more and more science and technology news, and the translation of the news becomes more and more important.Under the guidance of the basic theory of Skopos theory and combined with the empirical analysis of science and technology news translation, this paper demonstrates the three principles which are the core of Skopos theory.They play an important role in guiding the translation of science and technology news.
Chatbot Kantor Pelayanan Pajak Pratama Cikupa pada Platform Line

The Primary Tax Service Office has used technology in delivering information about taxes, such as the existence of an official tax portal service site as a forum for delivering information about requirements, announcements and provisions related to taxes for the general public. In addition, there are also online applications that are under the auspices of the Directorate General of Taxation which serve as services related to online tax reporting for the general public. However, the Primary Tax Service Office does not yet have a service to provide services to users quickly, easily and can be used at any time, therefore a chatbot application is created that can answer tax-related questions that can be accessed at any time easily and quickly. This chatbot is built using the hypertext preprocessor programming language and database using MySQL and the Artificial Intelligence Markup Language which contains a collection of patterns and responses that can be used by chatbots to search answers to each sentence. The software development methodology used is the Rapid Application Development (RAD) method. This research produces a chatbot application that can help users by answering questions about taxes.
COMMUNICATION INNOVATION AND TEXT MESSAGING BASED LINGUAL CREATIVITY

Language is changed as anything in our life that is changing.Such a change can be either syntactically, semantically, or phonologically.That change can be utilized in developing the way of communication, and effect even the number of letters that can be used in a word or a sentence.The study aims at identifying Communication Innovation and Text Messaging based Lingual Creativity.The subjects of this study are a group of forty-two students were they are pre and post graduate levels of different majors.The subjects are mixed gender of male and female.Age are considered and separated in five sections.The subjects are chosen according to their desire to participate in the questionnaire and their familiarity with the statements.In order to get as accurate results as possible, the questionnaire has been used as an instrument .theresult show that the first item of the questionnaire Does computer communication contribute to meet the requirements of the digital era? has got high degree which is 95.3% and mean which is 78.
IMPLEMENTATION OF MANAGEMENT INFORMATION SYSTEMS IN THE INTEGRATED ISLAMIC BASIC SCHOOL (SD IT) AL IHYA KALIREJO BASED ON WEBSITE

Information is one of the things that is needed in an organization or an agency. Information is also a need for management for an educational institution management. The school's website-based information system is a form of electronic media publication that can be used as a weapon for schools that want to show their identity to the wider community, as well as information media for outsiders who want to know completely the ins and outs of school. On the other hand, the website can also be used as a promotional medium for schools to attract prospective students during the new school year. The results of this study are to determine what efforts were made to implement a Website-Based Management Information System at SDIT Al Ihya Kalirejo. Knowing whether the application of a website-based Management Information System on SDIT Al Ihya Kalirejo is appropriate and knowing the factors that hinder the creation of a website-based Management Information System at SDIT Al Ihya Kalirejo. The division of labor in publications has become wider and the existence of this website-based management information system can be expected to be more efficient in cost, because by using this system the dissemination of information is easier and has a wider reach
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization

The success of deep learning relies on the availability of large-scale annotated data sets, the acquisition of which can be costly, requiring expert domain knowledge. Semi-supervised learning (SSL) mitigates this challenge by exploiting the behavior of the neural function on large unlabeled data. The smoothness of the neural function is a commonly used assumption exploited in SSL. A successful example is the adoption of mixup strategy in SSL that enforces the global smoothness of the neural function by encouraging it to behave linearly when interpolating between training examples. Despite its empirical success, however, the theoretical underpinning of how mixup regularizes the neural function has not been fully understood. In this paper, we offer a theoretically substantiated proposition that mixup improves the smoothness of the neural function by bounding the Lipschitz constant of the gradient function of the neural networks. We then propose that this can be strengthened by simultaneously constraining the Lipschitz constant of the neural function itself through adversarial Lipschitz regularization, encouraging the neural function to behave linearly while also constraining the slope of this linear function. On three benchmark data sets and one real-world biomedical data set, we demonstrate that this combined regularization results in improved generalization performance of SSL when learning from a small amount of labeled data. We further demonstrate the robustness of the presented method against single-step adversarial attacks. Our code is available at https://github.com/Prasanna1991/Mixup-LR.
Intelligent orchestration of database resources in power system

With the continuous development of cloud computing technology, the size of database clusters is getting larger and larger. The database resources in existing power systems need to be manually deployed, which puts great pressure on operation and maintenance personnel. Therefore, resource orchestration and automatic deployment are proposed and realized. This method implements a visual orchestration interface through the GoJS framework, establishes a deployment template, uses Spring template to encapsulate task execution scripts, orchestrates database instances, high-availability standby machines, and logical replication at one time, simplifying the deployment process. Practice shows that this method can be effective Reduce deployment time and improve work efficiency.
Machine Learning - Learning Techniques, CNN, Languages and APIs

Nowadays, Artificial intelligence is an important part in everyone's life. It can be derived in two categories named as Machine learning and deep learning. Machine learning is the emerging field of the current era. With the help of the machine learning, we can develop the computers in such a way so that they can learn themselves. There are various types of leaning algorithms used for machine learning. With the help of these algorithms, machines can learn various things and they can behave almost like the human beings. Nowadays, the role of the machine is not limited in some defined fields only; it is playing an important role in almost every field such as education, entertainment, medical diagnosis etc. In this research paper, the basics about machine learning is discussed we have discussed about various learning techniques such as supervised learning, unsupervised learning and reinforcement learning in detail. A small portion is also used to cover some basics about the Convolutional Neural Networks (CNN). Some information about the various languages and APIs, designed and mostly used for Machine Learning and its applications are also provided in this paper.
Interest-Behaviour Multiplicative Network for Resource-limited Recommendation

Resource constraints, e.g. limited product inventory or financial strength, may affect consumers' choices or preferences in some recommendation tasks but are usually ignored in previous recommendation methods. In this paper, we aim to mine the cue of user preferences in resource-limited recommendation tasks, for which purpose we specifically build a large used car transaction dataset possessing resource-limitation characteristics. Accordingly, we propose an interest-behavior multiplicative network to predict the user's future interaction based on dynamic connections between users and items. To describe the user-item connection dynamically, mutually-recursive recurrent neural networks (MRRNNs) are introduced to capture interactive long-term dependencies, and meantime effective representations of users and items are obtained. To further take the resource limitation into consideration, a resource-limited branch is built to specifically explore the influence of resource variation on user preferences. Finally, mutual information is introduced to measure the similarity between the user action and fused features to predict future interaction, where the fused features come from both MRRNNs and resource-limited branches. We test the performance on the built used car transaction dataset as well as the Tmall dataset, and the experimental results verify the effectiveness of our framework.
Use of Participatory Apps in Contact Tracing – Options and Implications for Public Health, Privacy and Trust

On December 31st, 2019, the World Health Organisation received a report from the Chinese government detailing a cluster of cases of ‘pneumonia of unknown origin’, later identified as novel coronavirus. The virus, now referred to as COVID-19, quickly spread and was officially declared a global pandemic on March 11th. COVID-19 has put health services under enormous strain globally. Turning to digital methods for collating data on cases, associated symptoms and the routes through which the virus may be spreading has been a common response. Human-powered contact tracing, although resource-intensive, is still considered to be the most effective way of tracking and helping to curtail the spread of infectious diseasesi. Intense efforts are underway to develop digital tools that can augment and automate some of these processes, such as the NHSX app or Singapore’s TraceTogether app, however, these are often beset with technical and privacy-related issues. This report reviews digital approaches that involve citizens as co-actors in efforts to support contact tracing, which may include elements of both location/proximity monitoring and symptom reporting, the latter representing a type of crowdsourced disease surveillance.ii This is approached from the perspectives of public health data needs, privacy-centred architectures, technologies and standards, and digital ethics. The aim is to inform an approach to digital contact tracing that is consistent with Scottish policy around secure, transparent, participatory and privacy-respectful data sharing for health and wellbeing. As such, some of the insights and recommendations are applicable to broader aspects of digital health in Scotland. The report collates expert answers to the following questions: • What are the desirable outcomes arising from the automation of symptom and contact tracing data collection at scale? (Prof Jill Pell, Institute of Health and Wellbeing, University of Glasgow); • How might the distributed system be architected to be secure and respectful of privacy from the outset? (Prof Bill Buchanan, OBE, School of Computing, University of Napier); • What communications standards and methods would best support the approach? (Prof Muhammad Imran, James Watt School of Engineering, University of Glasgow); • What are the ethical challenges and what steps should Scottish Government take to secure public trust? (Prof Claudia Pagliari, Usher Institute, University of Edinburgh)
CONCEPTUAL APPROACH TO SOLVING MANAGEMENT PROBLEMS OF THE UNIVERSITY

Conceptual approach to the search for sound solutions in the field of university management has been proposed. The concept of “typical control concept” has been introduced. The procedure for creating a platform for solving management problems from university practice has been suggested. Special manipulative entity as a tool for an effective approach to the implementation of university management tasks has been determined. It has been shown what digital technologies can be used to implement certain management functions. Operands of the posed problem at the initial stage of her research determined three sets: set of management functions, set of digital technologies, set of concepts. The matrix of the relationship between digital economy technologies and basic management functions has been given. Disintegrative approach to transforming university management tasks into chains of basic management functions for the use of typical management concepts has been proposed. The directions of actual work within the framework of this research have been outlined.
Model Pembelajaran Think Talk Write dan Motivasi Belajar terhadap Hasil Belajar Bahasa Indonesia

This study aims to determine the effect of Think Talk Write learning models on motivation and learning outcomes in Indonesian. The research design used was nonequivalent post-test only control group design. The population in this study were all grade IV SD 3 Sidoluhur, Lawang Malang Regency in the 2018/2019 school year. Samples were taken by random sampling technique. The data collected was analyzed with the MANOVA test. The results showed that: 1) there were significant differences in learning motivation between groups of students who were taught with Think Talk Write learning models and groups of students who were taught with conventional learning models 2) there were significant differences in Indonesian learning outcomes between groups of students who were taught with models Think to Talk Write learning and student groups that are taught with conventional learning models, 3) there are significant differences in learning motivation and Indonesian language learning outcomes between groups of students who are taught with Think Talk Write learning models and groups of students who are taught with conventional learning models.
Char-

We explore how well a sequence labeling approach, namely, recurrent neural network, is suited for the task of resource-poor and POS tagging free word stress detection in the Russian, Ukranian, Belarusian languages. We present new datasets, annotated with the word stress, for the three languages and compare several RNN models trained on three languages and explore possible applications of the transfer learning for the task. We show that it is possible to train a model in a cross-lingual setting and that using additional languages improves the quality of the results.