Reviewerly/exHarmony huggingface dataset:
Integrating Authentic Materials and Blended Learning in Teaching Procedural Text

Penelitian ini bertujuan untuk mencari tahu perbedaan dari motivasi belajar siswa sebelum dan sesudah penerapan dari materi-materi yang autentik dan pembelajaran campuran. Desain dari penelitian ini adalah penelitian kuantitatif. Hasilnya menunjukkan bahwa ada perbedaan motivasi belajar siswa dan nilai menulis mereka setelah diajar menggunakan materi yang autentik berdasarkan pembelajaran campuran. Peningkatan yang paling signifikan dalam motivasi adalah motivasi intrinsic. Sedangkan, penggunaan bahasa adalah peningkatan aspek menulis yang paling signifikan (rentan nilai= 8,4). Hasil dari analisis korelasi juga menunjukkan korelasi dari motivasi belajar siswa dan nilai menulis mereka dari two tail significance menunjukkan p>0.05 (p= 0.470) yang diklasifikasikan sebagai korelasi sedang. Sejak pengintegrasian materi authentic dan pembelajaran campuran terutama berguna dan mereka dapat membantu siswa-siswa untuk menjadi pembelajar yang berhasil, guru direkomendasikan untuk mendalaminya dan mengajar siswa-siswa mereka menggunakan media online yang sejalan dengan zaman moderen ini. This research was aimed to find out the difference of students learning motivation before and after the implementation of authentic materials and blended learning. The design of this study was quantitative research. The result showed that there were difference of student learning motivation and their writing achievement after being taught by using authentic material based on blended learning. The most significant increase in motivation is intrinsic motivation. Meanwhile, Language use is the most significant increase writing aspect (range score= 8,4). The result of Correlation analysis also showed that the correlation of students’ learning motivation and their writing achievement from the two tail significance showed p>0.05 (p= 0.470) which classified as medium correlation. Since the integrated authentic material and blended learning are principally worthy and they could help students to be successful learners, the teacher are recommended to explore them and teach their students by using online media which is in line with this modern era. Keywords : Authentic materials, blended learning, learning motivation.
수업 방식에 따른 중학교 영어 학습자의 동기와 탈동기 탈동기: 플립 러닝과 강의식 수업 비교연구

This study investigates the differences in English-learning motivation and demotivation according to the teaching method (i.e., flipped learning vs....
Analysis of 3D Flow Field in Rotary-Gas High Voltage SF6 Circuit Breaker with Different Blade Nozzle

A 252kV single-break SF6 circuit breaker is taken as the investigation model in this paper, the 3D cold arc-quenching chamber calculation model of traditional nozzle without blade and six different nozzles with different blade contour are presented based on 3D N-S equations. The variations of the cold flow field parameters in arc-quenching chamber with different blade nozzles have been obtained using finite volume method (FVM) during the interrupting, and the effect on 3D flow field by different blade nozzles is analyzed emphatically. The influences of blade contour on gas flow velocity, pressure-temperature ratio and pressure in arc-quenching chamber are analyzed by changing the angle, number and the height of the blade in the circumstances of keeping flow unchanged, and the reasonable nozzle blade structure of circuit breaker is obtained.
Optical Single Myocyte Sorting and Viability Estimation.pdf

This report details the creation of a tool for determining the viability of myocytes through image processing. The completed work deals with the creation of an image processing tool capable of tracking and analysing multiple myocytes per frame of presented input at a high frame rate in LabView. Further discussion details the steps taken towards the creation of a device capable of sorting myocytes based on this analysis.
A Perspective on Blockchain technologies and its applications

Blockchain concept relies on cryptography that links the blocks and each block holds the cryptographic hash of a previous block and timestamp along with data to be transferred. The openness in the distributed setup is achieved with the help of the peer-to-peer network. The main idea behind is need of a central trusted third party is obsolete. Each node, another name of block possesses a complete replica of the blockchain. On adding a new transaction, mean adding block ensures that block is appended to all blocks such that transparency is maintained. In this paper, the authors are presenting the overview of blockchain, its types, and its applications in various sectors.
Perceptual Generative Autoencoders.

Modern generative models are usually designed to match target distributions directly in the data space, where the intrinsic dimension of data can be much lower than the ambient dimension. We argue that this discrepancy may contribute to the difficulties in training generative models. We therefore propose to map both the generated and target distributions to a latent space using the encoder of a standard autoencoder, and train the generator (or decoder) to match the target distribution in the latent space. Specifically, we enforce the consistency in both the data space and the latent space with theoretically justified data and latent reconstruction losses. The resulting generative model, which we call a perceptual generative autoencoder (PGA), is then trained with a maximum likelihood or variational autoencoder (VAE) objective. With maximum likelihood, PGAs generalize the idea of reversible generative models to unrestricted neural network architectures and arbitrary number of latent dimensions. When combined with VAEs, PGAs substantially improve over the baseline VAEs in terms of sample quality. Compared to other autoencoder-based generative models using simple priors, PGAs achieve state-of-the-art FID scores on CIFAR-10 and CelebA.
การพัฒนาระบบสารสนเทศเพื่อการบริหารจัดการ โครงการหมู่บ้านรักษาศีลห้า จังหวัดนครปฐม

This research aims to 1) design and develop the Management Information System of the five precepts Nakhon Pathom Province and 2) evaluate the satisfaction of the using for the system. The system was developed in the form of web-based application and the SDLC (System Development Life Cycle) system was used for system design and development. The proposed system was evaluated the efficiency by 3 experts and was evaluated the satisfaction of using the system by 30 users, the staff of the Office of Buddhism in Nakhon Pathom and general users.  The study found that the results of the evaluation of the system from 3 experts by measuring performance in 4 areas: 1) system screen design 2) system performance 3) system processing and 4) system security. The average assessment results were in the high level, with an average of 4.42, standard deviation equal to 0.58.  The results of the satisfaction evaluation of the system usage from 30 users, with a total of 10 assessments: 1) Information is modern. 2) Information is accurate. 3) Information system covering all missions 4) Information system is beneficial to the operation 5) Information that meets the needs of users 6) Information systems in categories 7) Form and method of data presentation 8) The speed of finding information 9) Convenient access and 10) The system is easy to use. The average assessment results are in the high level, which is the average of 4. 5 standard deviations equal to 0.63.Article history : Received 19 May 2019  Revised 11 June 2019  Accepted 13 June 2019  SIMILARITY INDEX = 2.82
It's Not What Machines Can Learn, It's What We Cannot Teach

Can deep neural networks learn to solve any task, and in particular problems of high complexity? This question attracts a lot of interest, with recent works tackling computationally hard tasks such as the traveling salesman problem and satisfiability. In this work we offer a different perspective on this question. Given the common assumption that $\textit{NP} \neq \textit{coNP}$ we prove that any polynomial-time sample generator for an $\textit{NP}$-hard problem samples, in fact, from an easier sub-problem. We empirically explore a case study, Conjunctive Query Containment, and show how common data generation techniques generate biased datasets that lead practitioners to over-estimate model accuracy. Our results suggest that machine learning approaches that require training on a dense uniform sampling from the target distribution cannot be used to solve computationally hard problems, the reason being the difficulty of generating sufficiently large and unbiased training sets.
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation

Node classification in attributed graphs is an important task in multiple practical settings, but it can often be difficult or expensive to obtain labels. Active learning can improve the achieved classification performance for a given budget on the number of queried labels. The best existing methods are based on graph neural networks, but they often perform poorly unless a sizeable validation set of labelled nodes is available in order to choose good hyperparameters. We propose a novel graph-based active learning algorithm for the task of node classification in attributed graphs; our algorithm uses graph cognizant logistic regression, equivalent to a linearized graph convolutional neural network (GCN), for the prediction phase and maximizes the expected error reduction in the query phase. To reduce the delay experienced by a labeller interacting with the system, we derive a preemptive querying system that calculates a new query during the labelling process, and to address the setting where learning starts with almost no labelled data, we also develop a hybrid algorithm that performs adaptive model averaging of label propagation and linearized GCN inference. We conduct experiments on five public benchmark datasets, demonstrating a significant improvement over state-of-the-art approaches and illustrate the practical value of the method by applying it to a private microwave link network dataset.
LOD Construction Through Supervised Web Relation Extraction and Crowd Validation

Free, unstructured text is the dominant format in which information is stored and published. To interpret such vast amount of data one must employ a programmatic approach. In this paper, we describe a novel approach – a pipeline in which interesting relations are extracted from web portals news texts, stored as RDF triplets, and finally validated by end user via browser extension. In the process, different machine learning algorithms were tested on relation extraction, enhanced with our own set of features and thoroughly evaluated, with excellent precision and recall results compared to models used for semantic knowledge expansion. Building on those results, we implement and describe the component to resolve discovered entities to existing semantic entities from three major online repositories. Finally, we implement and describe the validation process in which RDF triplets are presented to the web portal reader for validation via Chrome extension.
How to start from scratch? Vilnius University is launching alumni platform

We took rather unpopular decision and decided to craft an alumni platform ourselves to suit our own specific needs. We are planning to launch it in May. Platform will not only provide opportunity for two way communication, include first time ever donation campaign, but also provide alumni with a virtual alumni service card. Alumni for a long time await for the opening of universities‘ services. For this to happen we had to do a huge homework of digitalizing alumni profiles from 1954 to 2001 for the verification purposes. Will we succeed with effective start? Will we attract thousands of alumni to the platform? Is that a right marketing strategy? Come and hear, come and share.We start from scratch. If you are or have been in a similar situation, it would be lovely to discuss with you.
¡Le toca participar a los niños! Co-diseño educativo con niños

My research Children’s Turn to Participate! Educational co-design with children investigates the role of children and young people in design, and children’s rights to take part and influence the planning, realisation and development of services and milieus directed at them (UN 2009, Pollari 2016). It is a case study that combines research with planning and organising co-design workshops for children and young people (Children’s Turn workshops). This research examines how co-design and design education might promote children’s rights in design. The aim of the Children’s Turn workshops (2014–2016) was to develop methods for fostering the participation of children and young people. They also challenged the designers and manufacturers of products to develop ideas from children and to offer children-based products for a hospital. A pedagogical framework and design tools created for the workshops were one of the outcomes of this research. Those were validated in pilot workshops and brought to the co-design workshops to aid children’s participation. This research suggests co-design together with design education as a solution for changing design practice to support children’s participation in design. The idea of combining design education and co-design, was tested amongst groups of children. Based on the good results of the pilot workshops, final co-design workshops were organized at the museum setting to allow children’s participation in the design of the hospital wear of the New Children’s Hospital in Helsinki.
WORDS NOW SPOKEN, AN AMAZON WEB SERVICES APPLICATION FOR THE SENSORY IMPAIRED

The following manuscript introduces a revolutionary technical aid for communication between those who are sensory impaired and those who are not.This software's innovation is capable of receiving voice input and rapidly returning both the Braille and Sign Language equivalent using Amazon Web Services Cloud Technology.
Ontological foundations of modelling security policies for analysis

Modelling of knowledge and actions in AI has advanced over the years but it is still a challenging topic due to the infamous frame problem, the inadequate formalization and the lack of automation. Someproblems in cyber security such as logical vulnerability, risk assessment, policy validation etc. still require formal approach. In this paper we present the foundations of a new formal framework to address these challenges. Our approach is based on three-level formalisation: ontological, logical and analytical levels. Here we are presenting the first two levels which allow to model the security policies and provide a practical solution to the frame problem by efficient utilization of parameters as side effects. Key concepts are the situations, actions, events and rules. Our framework has potential use for analysis of a wide range of transactional systems within the financial, commercial and business domains and further work will include analytical level where we can perform vulnerability analysis of the model.
PENERAPAN MODEL MAKE A MATCH BERBANTUAN BIOCARD TERHADAP HASIL BELAJAR DAN KETERAMPILAN ARGUMENTASI SISWA

&lt;p align="left"&gt;&lt;strong&gt;Abstrak &lt;/strong&gt;&lt;/p&gt;&lt;p&gt;Penelitian bertujuan untuk mengetahui penerapan model pembelajaran &lt;em&gt;Make A Match &lt;/em&gt;berbantuan &lt;em&gt;Biocard &lt;/em&gt;terhadap hasil belajar dan keterampilan argumentasi siswa pada materi Klasifikasi Makhluk Hidup kelas VII SMP Kemala Bhayangkari. Bentuk penelitian adalah &lt;em&gt;Quasy Experimental Design &lt;/em&gt;dengan rancangan penelitian &lt;em&gt;Nonequivalent Control Group Design. &lt;/em&gt;Sampel penelitian terdiri dari 2 kelas, yaitu kelas VII B sebagai kelas kontrol dan VII C sebagai kelas eksperimen. Teknik pengumpulan data menggunakan soal tes. Analisis data menggunakan &lt;em&gt;Effect Size&lt;/em&gt;. Hasil penelitian menunjukkan skor rata-rata hasil belajar kelas eksperimen sebesar 16,04 sedangkan pada kelas kontrol 13,74. Hal ini menunjukkan model &lt;em&gt;make a match &lt;/em&gt;berbantuan &lt;em&gt;biocard &lt;/em&gt;memiliki pengaruh signifikan terhadap hasil belajar siswa. Keterampilan argumentasi pada penelitian ini menggunakan argumentasi &lt;em&gt;Toulmin &lt;/em&gt;yaitu menilai aspek &lt;em&gt;data,claim,warrant &lt;/em&gt;dan &lt;em&gt;backing. &lt;/em&gt;Hasil penelitian keterampilan argumentasi kelas eksperimen menunjukkan kriteria baik (70,82%), sedangkan pada kelas kontrol dengan kriteria cukup (68,40%). Dapat disimpulkan model &lt;em&gt;make a match &lt;/em&gt;berbantuan &lt;em&gt;biocard &lt;/em&gt;berpengaruh terhadap keterampilan argumentasi siswa.&lt;/p&gt;&lt;p&gt; &lt;/p&gt;&lt;p align="left"&gt;&lt;strong&gt;&lt;em&gt;Abstract &lt;/em&gt;&lt;/strong&gt;&lt;/p&gt;&lt;p&gt;&lt;em&gt;The research aimed to determine the application of the Biocard-aided Make A Match learning model to the learning outcomes and students' argumentation skills in the Classification of Living Class VII material of Kemala Bhayangkari Middle School. The form of research was Quasy Experimental Design with Nonequivalent Control Group Design research design. The research sample consisted of 2 classes, VII B as a control class and VII C as an experimental class. Data collection techniques used test questions. Data analysis used Effect Size. The results showed the average score of the experimental class learning outcomes was 16.04 while that of the control class was 13.74. This shows the biocard-aided make a match model has a significant influence on student learning outcomes. Argumentation skills in this study use Toulmin's argumentation, namely assessing aspects of data, claims, warrant and backing. The results of the experimental class argumentation skills showed good criteria (70.82%), whereas in the control class with sufficient criteria (68.40%). It can be concluded that the make a match model aided by biocard affects the student's argumentation skills.&lt;/em&gt;&lt;/p&gt;
LibGuides: Remote Learning Resources: Poetry

These sites can be accessed during our time of digital learning. Authors, publishers, museums, and companies have given permission and access to use these links for remote learning.
Subject Guides: Technical Communication: Home

A guide to librarian-recommended resources in technical communication and technical writing, including databases, books, journals, websites and more.
2015 개정 국어과 교육과정에서 ‘규범성’ 담론의 의미와 작용 양상

The purpose of this study is exploring the meaning and implementation of ‘norm-oriented discourse’ in 2015 National Curriculum of Korean Subject. For this purpose, curriculum documents were analysed, and also in the views of ‘curriculum implementation’, 12 units of textbooks were analyzed and its development process were explored through FIG toward 4 unit writers. The result is as follows : In the curriculum document, norm seems to be main rationals for choosing learning contents or to be as tools for decreasing learning contents. After exploring textbooks and its development context, norm does not be used as the former, and also not be used as the latter. It means that norms have been actually introduced as tools for decreasing learning contents, however, it has been thrown out easily because of loss of considerate deliberation. Therefore, the task for positioning of the norm-oriented discourse in grammar education should be examined in more detailed.
The Analysis of EFL Students` Ability in Translating Text from Indonesian Into English at Lampung State Islamic University

The objectives of this research are to know the ability of UIN Raden Intan English department to translate text from Indonesian to English and to know errors made by students in translating. The methodology employed was quantitative content analysis with a research instrument is a rubric. Results show students translation abilities of UIN Raden Intan English Department are very good with 9 students (33.4 %), fair with 8 students (29.6 %), good with 5 students (18.5 %), bad (14.5 %), and almost excellent 1 student(3.7%). Translation errors are grammatical errors,  missing word, mother tongue word use, different meaning production, word order, word choice, and misspelling.
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization

A framework based on iterative coordinate minimization (CM) is developed for stochastic convex optimization. Given that exact coordinate minimization is impossible due to the unknown stochastic nature of the objective function, the crux of the proposed optimization algorithm is an optimal control of the minimization precision in each iteration. We establish the optimal precision control and the resulting order-optimal regret performance for strongly convex and separably nonsmooth functions. An interesting finding is that the optimal progression of precision across iterations is independent of the low-dimensional CM routine employed, suggesting a general framework for extending low-dimensional optimization routines to high-dimensional problems. The proposed algorithm is amenable to online implementation and inherits the scalability and parallelizability properties of CM for large-scale optimization. Requiring only a sublinear order of message exchanges, it also lends itself well to distributed computing as compared with the alternative approach of coordinate gradient descent.
Between a Banker and a Barbie: The Illusions of Social Media: An Abstract

Within social media, projections of identities can be deceiving and differ markedly from reality. Without realising the impact of social media on their future career, students regularly project their current student identities on various social platforms. Despite the rapid increase, potential impact of social media and high tendency of younger people to use social media, this area lacks in empirically driven theory (Benson et al. 2014). This study therefore aims to address the research gap stated in the studies conducted by Casatander and Camacho (2012) and Jackson and Wilton (2016) by exploring the impact of social media on students’ digital identities in a higher education context. The author conducted 33 “talk and draw” interviews which lasted 45 min on average with final year students. This visual research technique provided the respondents with an alternative way to express and communicate their views around their digital identities which might be difficult to articulate in words (Theron et al. 2011). In line with the past studies (Linn et al. 2017; Woodley and Silversti 2013) there were major discrepancies between students’ digital identities and their future career aspirations. This was attributed to parents’ involvement in picking the professions for their children on the basis of high income. Students were aware of their digital prints on some occasions; however, this awareness did not create any positive impact on shaping their digital identities in contrast to Camacaho et al. (2012) study. Further, social media was identified as an overwhelming tool which can give rise to various uncertainties in relation to students’ future careers. For example, they demonstrated cognitive dissonance by portraying themselves as tech savvy without considering the bigger picture of creating their own digital prints which can be potentially looked at by their future employers. This study contributes to the identity formation literature through social media and has implications for Higher Education sector. The discussion concludes that universities must confront social media challenges as part of the educational experience for the development of a responsible and professional ethical digital citizenry. Future research is needed to assess the ways which can positively influence students to shape their digital identities to increase their employability opportunities.
Creating a basic package

The last item left in taking a Django app and making it standalone is turning it into an installable package. This itself is a rich topic which we'll revisit in more depth in Chapter 18 , but for now our goal is to meet the minimum requirements to make a simple Django app installable from outside the Django project.