Reviewerly/exHarmony huggingface dataset:
EFL STUDENTS’ ATTITUDES TOWARDS AUTONOMOUS LEARNING THROUGH BUSUU: A MOBILE APPLICATION

Studies on the appliances of mobile phones have indicated a positive effect on language improvement. This case study attempts to explicate students' perceptions of autonomous learning through Busuu (a language mobile application). The subjects of this study were 17 females and three males of an English language center at a university in Indonesia. The result showed that the use of the Busuu app supported learners’ autonomy. (1) Students controlled over learning management freely managing their time to study and got motivated more to learn English after accessing the app. The findings indicated that the lower the level of competence in English, the longer students spent their time to access the app. (2) Students controlled over cognitive processing by showing their interest in vocabulary practices. Next, students controlled over learning content by selecting which material to study first so that they were able to meet their expectations of accessing the app. At last, (3) students controlled over learning strategies by reflecting on how well they have learned from the automated feedback feature provided in the app. To sum up, students have a positive attitude towards the app in that it helps them enhance their English proficiency skills, especially in vocabulary enrichment.
Preliminary Research on Computer-Assisted Transcription of Medieval Scripts in the Latin Alphabet using AI Computer Vision techniques and Machine Learning. A Romanian Exploratory Initiative

"The objective of the present paper is to introduce to a wider audience, at a very early stage of development, the initial results of a Romanian joint initiative of AI software engineers and palaeographers in an experimental project aiming to assist and improve the transcription effort of medieval texts with AI software solutions, uniquely designed and trained for the task. Our description will start by summarizing the previous attempts and the mixed-results achieved in e-palaeography so far, a continuously growing field of combined scholarship at an international level. The second part of the study describes the specific project, developed by Zetta Cloud, with the aim of demonstrating that, by applying state of the art AI Computer Vision algorithms, it is possible to automatically binarize and segment text images with the final scope of intelligently extracting the content from a sample set of medieval handwritten text pages. Keywords: Middle Ages, Latin writing, palaeography, Artificial Intelligence, Computer Vision, automatic transcription."
Digital contact tracing

Since the start of the COVID-19 pandemic, technology enthusiasts have pushed for digital contact tracing as a critical tool for breaking the COVID-19 transmission chains. Motivated by this push, many countries and companies have created apps that enable digital contact tracing with the goal to identify the chain of transmission from an infected individual to others and enable early quarantine. Digital contact tracing applications like AarogyaSetu in India, TraceTogether in Singapore, SwissCovid in Switzerland, and others have been downloaded hundreds of millions of times. Yet, this technology hasn't seen the impact that we envisioned at the start of the pandemic. Some countries have rolled back their apps, while others have seen low adoption. Therefore, it is prudent to ask what the technology landscape of contact-tracing looks like and what are the missing pieces. We attempt to undertake this task in this paper. We present a high-level review of technologies underlying digital contact tracing, a set of metrics that are important while evaluating different contact tracing technologies, and evaluate where the different technologies stand today on this set of metrics. Our hope is two-fold: (a) Future designers of contact tracing applications can use this review paper to understand the technology landscape, and (b) Researchers can identify and solve the missing pieces of this puzzle so that we are ready to face the rest of the COVID-19 pandemic and any future pandemics. A majority of this discussion is focused on the ability to identify contact between individuals. The questions of ethics, privacy, and security of such contact tracing are briefly mentioned but not discussed in detail.
Pengaruh Strategi KWL (Know, Want, Learned) Terhadap Kemampuan Membaca Pemahaman Peserta Didik Di Sekolah Dasar

This study aims to examine the effect of the KWL (Know, Want, Learned) strategy on the reading comprehension ability of fifth grade students of Muslimin Panyawungan 1 and 2. The techniques of research data collection are in the form of tests, observations and interviews. To test the hypothesis that there is an influence or not researchers use a simple linear regression formula. The results showed that the ability to read students 'understanding in the experimental class using the KWL (Know, Want, Learned) strategy was higher than the ability to read students' comprehension in the control class with conventional learning (expository strategy) so that there were differences. This is evidenced from the results of hypothesis testing obtained sig (2-tailed) value of 0.00 &lt;0.05, which means that there are significant differences. Based on the results of the regression test also proves that the KWL (Know, Want, Learned) strategy influences the reading ability of elementary school students' understanding with the results of sig. 0.003 &lt;0.05 so it can be concluded that the use of the KWL (Know, Want, Learned) strategy influences the students' reading comprehension ability in elementary school.
Identifying Reform Priorities

Can countries improve their business climate through reforms in specific policy areas? Kraay and Tawara (2013) find that the answer depends on how we measure the business climate. When regressing seven different business climate indices on 38 policy indicators, they find little agreement among the seven models as to which of those policy indicators matter most. I revisit this puzzle using the same data but replacing their linear models with a Random Forest algorithm. I find a strong consensus across models on the importance ranking of policy indicators: No matter which business climate index is considered, the top ten contributors to a better business climate always include high recovery rates in insolvency proceedings (i.e., cents on the dollar for creditors), shorter border formalities for both importers and exporters, and low costs for starting a business. I show that the marginal effect of reforms is heterogeneous across countries and document how reform priorities depend on country specific circumstances.
Deteksi Sebaran Curah Hujan Dengan Menggunakan Metode Thiessen Polygon (Study Kasus: Kota Serang)

Abstract Indonesia is a country that has varying rainfall rates due to its area at different heights. Rainfall in Indonesia varies greatly spatially and temporally. In gereral there are annual and semi-annual cycles in the seasonal pattern of Indonesian rainfall. The Serang city is a located in Banten Provinces which have a fairly high rainfall annually. It can be seen every year the average rainfall in Serang City above 100 mm/year. The rainfall of distribution in Serang City can be detected used the thiessen polygon method. The thiessen polygon method takes into account the weight of each station that represents the area around it. This study aims to determine the calculation and rainfall pattern of the area in Serang City by used thiessen polygon method. The research was conducted in two stages, data collection a monthly rainfall and data processing with ArcGIS. Based on the results of calculations on rainfall data for the period 2010-2018 and February-March 2019 in 3 rain posts, the results of the Kologorov-Smirnov test with P-Value>0,011 or distribution normal and the Kolmogorov-Smirnov value of 0,094 for the rain post rain 1, 0,114 for the post rain 2 and 0,123 for the rain post 3. Therefore, from this data can be generated maps of rainfall distribution in Serang City. Keywords: ArcGIS, rainfall, thiessen polygon.
PUBLIC SPEAKING IN ISLAMIC HIGH SCHOOL: PRACTICAL STEPS ON ISLAMIC CIVILIZATION TOPICS

Abstract&#x0D; The tenet of being able to speak English in public sphere as a global life skill has now been a driving force for many Indonesians to learn English since early age. Not only in educational sector, public speaking skill is also in high demand for nowadays’ context—industrial marketplace era. Yet, in many situations, teachers fail to support students with the necessary skills to perform public speaking. As English is still a foreign language in Indonesia, assigning students to perform public speaking without proper training leads into fear or anxiety. However, a practical training into what the best practices of public speaking should be undertaken by educators. Moreover, Indonesia as the biggest Muslim country has many Islamic schools around. For Islamic high school students, Islamic-based material is the content that likely becomes the discourse of the school curriculum. To preach Islam in a global level, English can open up ways to this. Thus, the notion of infusing Islamic-based content in public speaking classroom is necessary. Implementing this, a training on Public Speaking with Islamic-based materials were conducted in Madrasah Aliyah Muhammadiyah 1 Malang Indonesia. The study results in highlighting several practical steps for Public Speaking with Islamic Civilization content. Procedures will highlight on experienced-based learning and some techniques to support a local-based atmosphere. In so doing, this present study suggests that Islamic Civilization content can be used as a supporting material for students learning in Islamic school context. Therefore, it is recommended that teachers in Islamic school can design the curriculum that underlies Islamic elements.
Library Research Guides: CRE Open Resource Program: Open and Healthy! An Introduction to Online Nutrition, Health & Fitness Resources: Home

This guide provides information on and links to open nutrition, health and fitness resources.
The Formation of Students’ Self-Organization Skills in a Technical University

The main components of self-organization and its implementation stages are identified against the background of determining the importance of self-organization skills mastery by technical university graduates for the successful implementation of educational and future professional activities. Based on the social demands generated by the need to form general cultural and professional competencies in the learning process, the necessity to organize students’ independent work in such a way that it motivates self-organization and, as a result, self-education is confirmed. It is proved that the transformation of students’ independent work should be carried out regularly, taking into account the changes taking place in society, using modern information technologies as a kind of organizational resource. In order to reduce time expenditures in the process of updating the educational material for a particular discipline, it is proposed to establish the relationship between the components of the educational process by identifying intersubject communications, which are considered as a means of achieving the applied orientation of the discipline, at the stage of selecting the necessary information. The formation of students’ self-organization skills has been carried out on the basis of data from a frequency analysis of the network information sources. The results of frequency analysis and statistical processing of experimental data show the ability to make a forecast about the weight of specific topics for future professional activities, which will allow to distribute study time correctly. The use of established intersubject communications of disciplines and the fulfillment of the selected conditions contribute to the development of students’ educational activities self-organization.
Virtual machine allocation method for cloud computing based on multi-objective evolutionary algorithm

In order to overcome the problems of data access delay and high energy consumption in virtual machine configuration of cloud computing, a new virtual machine allocation method for cloud computing based on multi-objective evolutionary algorithm is proposed in this paper. Based on multi-objective evolutionary algorithm, the objective of energy consumption and access delay optimisation is replaced by an objective model, which is used as the allocation objective model of computational virtual machine. The ant colony algorithm and K-NN local search method are introduced to obtain the optimal solution of the allocation target model and realise the output of the optimal allocation scheme for cloud computing virtual machines. The experimental results show that the access delay and energy consumption of the proposed method are significantly lower than those of other methods, which proves that the proposed method has better performance.
EnTranNAS: Towards Closing the Gap between the Architectures in Search and Evaluation

Most gradient-based neural architecture search methods construct a super-net for search and derive a target-net as its sub-graph for evaluation. There is a significant gap between the architectures in search and evaluation. As a result, current methods suffer from the problem of an inaccurate, inefficient, and inflexible search process. In this paper, we aim to close the gap and solve these problems. We introduce EnTranNAS that is composed of Engine-cells and Transit-cells. The Engine-cell is differentiable for architecture search, while the Transit-cell only transits the current sub-graph by architecture derivation. Consequently, the gap between the architectures in search and evaluation is significantly reduced. Our method also spares much memory and computation cost, which speeds up the search process. A feature sharing strategy is introduced for more efficient parameter training in the search phase. Furthermore, we develop a new architecture derivation method to replace the traditional one that is based on a hand-crafted rule. Our method enables differentiable sparsification, so keeps the derived architecture equivalent to the one in search. Besides, it supports the search for topology where a node can be connected to prior nodes with any number of connections, so that the searched architectures could be more flexible. For experiments on CIFAR-10, our search on the standard space requires only 0.06 GPU-day. We further have an error rate of 2.22% with 0.07 GPU-day for the search on an extended space. We can directly perform our search on ImageNet with topology learnable and achieve a top-1 error rate of 23.2%. Code will be released.
Creating GUIs for Project Management

We all have projects that need our time and attention. Some of these tasks may be personal, perhaps finding time to write a novel or learning a new programming language. Others may be work related, such as helping to build your company’s website or launching a new product. To organize and prioritize assignments, we need some way to keep track of their progress.
IMPLEMENTASI PRINCIPAL COMPONENT ANALYSIS (PCA) UNTUK TEMU KEMBALI CITRA MOTIF KAIN TENUN NTT BERDASARKAN WARNA DAN TEKSTUR

ABSTRAKNusa Tenggara Timur is one of the island province that has a diversity of cultures in each region. One of them is a woven fabric with distinctive motifs that vary both in terms of color, shape and texture. To classify the motifs of woven fabric manually will experience difficulty and longer time. This research aims to to apply the CBIR system method for Retrieval of NTT woven fabric motifs. Content Based Image Retrieval (CBIR)  is a image search method based on the similarity of color, shape and texture. Feature extraction methods used are color features using color statistics. Texture features using texture histograms. Principal Component Analysis (PCA) used in the feature classification process. To compare the similarity of the test image and the image in the database using the Euclidean Distance method. The number of sample images is 12, consisting of 36 images in the data base and 24 test images. Testing process is also done by adding noise salt & pepper and noise gaussian. Based on the test results, the level of success and accuracy of image retrieval up to 94,3% of the 12 samples tested. On the addition of noise salt & pepper the method still survives at the 0.05 density level of 61% and the gaussian noise at the mean & variant 0.01 level of 66.5%. In order to prevent a mis retrieval image outside the database, the application uses a thresholding technique.Keywords: CBIR, Motif Kain NTT, PCA, Color & Texture
The Cookies Club (Cookies Business) / Hidayati Sufiah Roslan

The Cookies Club is where authentic cookies’ lovers supposed to be. This is because we offer variety type of freshly baked cookies. All the cookies that we provide are made using our own unique recipe. That is what made our cookies are the best in town. The concepts for our business are, we making our own product which is the cookies and we selling it. Customer can buy it at our shop or order it online. We also provide services such as goodies bag service for event planner and delivery service for the customer. The product that we offer for this business are variety type of freshly baked cookies. Here are some of them; chocolate chip cookies, sea salt cookies, oatmeal cookies, brownies cookies and red velvet cookies. We’re also selling brownies. In the future, we would like to add more type of cookies and dessert to our menu. But the main product for our business is forever going to be the cookies. We are selling our product to the customersand also to the food operator such as cafe, bakery and vendor shop. The customers can buy our product at our shop that is located in the middle of Ipoh Town near The Plan B. They also can order our product through our website and social media which is Instagram, Facebook, Twitter and WhatsApp. Other than selling our product, services that being offered by The Cookies Club is goodies bag service for event planner and delivery service for customers. We provide a service for event planner by making them goodies bag for events such as birthday party, wedding and many more. For delivery service, wehave our own runner to deliver customer’s order straight to their door step. We’re targeting people that are a massive fan of cookies because that what The Cookies Club for. We also targeting people that lives in Perak especially Ipoh to buy our product. It is because we’re near to them. Next we also targeting young people like teenager and young adult because they have a big influence in media social. It is because we would be promoting our product more on social media. Other than that, we’re targeting food operator such as cafe, bakery and vendor shop. Last but not least we’re targeting event planner. For competitive advantage, The Cookies Club is the only business that are specialize in cookies in Ipoh area. So cookies’ lovers will come and buy with us. We’re also located at the strategic location which is in the middle of Ipoh Town so it is easy for people to come to our shop. The Cookies Club provide delivery service for our product, so the customer don’t have to worry to go out. They just need wait at their place. Other than that, we also have goodies bag service for event planner, so indirectly we already have a connection inbusiness with event planner.
Feature Extraction and Classification of Medication-Induced Hyperkinesia During Treatment of Parkinson's Disease

The recent progress in wearable sensor technology, signal processing and machine learning enables novel applications in fields such as automatic disease symptom tracking and classification. In this project, data from an ongoing Parkinson’s disease study at the Lund University Hospital is gathered and analyzed, and classification models of varying complexity for symptom severity are evaluated. The accelerom- eter and gyroscope data is provided by a single mobile phone fastened around each patient’s trunk and is complemented by a certified specialist’s score labels, in clin- ical dyskinesia rating scale (CDRS). Out of four available tasks performed by the patient during measurement, the two tasks “walking” and “sitting and describing a picture” were cut out and analyzed in-depth. The most practically usable simulation scenario was found to be forming in- dividual models for the patients, with the best performing model proving to be an unsupervised feature extracting autoencoder combined with a linear discriminant. We could with descent accuracy distinguish between whole test signals in a binary- class scenario for a majority of patients and perform skillfully in the multi-class scenario, although not well enough for practical usability. The total patient-average, mean macro f1-score and accuracy obtained for binary-class classification of short (2 second) signal segments from the “describe picture”-task were 0.74 and 0.81 re- spectively. The corresponding mean macro f1-score and accuracy for the multi-class classification case were 0.52 and 0.65 respectively. (Less)
Features of Online Education in High-Rating Universities of the Brics Countries

The paper examines the features of online education in the leading universities of the BRICS countries in order to find out to what extent universities were ready for an emergency transition from traditional education to an online format in the context of a pandemic. The goals of online education, the variety of tools and technologies, the possibilities of inter-national cooperation with universities, accessibility / openness for foreign students are assessed. It has been established that the leading universities of the BRICS countries, using digital technologies in edu-cation, strive to democratize it, recommend it at the level of the country and the world as a whole, estab-lish close contacts with the national and interna-tional academic and scientific communities, and successfully respond to the challenges of reality. In general, the high-ranking universities of the BRICS countries have successfully passed the test of strength, since each of the universities already had a certain set of online education tools, and the pan-demic has become a reason for the improvement of technologies and total digitalization of education.
An Analysis of the Divergence of Apology in Online Game Setting based on Honor of King

In view of the dramatic changes induced by emerging social media, the present research focuses on Chinese multinational enterprises to understand how they conduct impression management work on Twitter through different face orientations, with a particular attention to the online presence of CSR activities. Through qualitative and quantitative analysis, it is found that CSR activities have not received enough attention in such genre of company discourse. The present research also points that the frequent occurrence at Twitter is supposed to be of great value to impression management work of these multinational companies. However, some disparities also emerge in their face orientation across different industry.
Data Breach Response Planning Guide

This guide provides IT leaders with a resource to assist in preparing for a data breach. Topics covered include possible scenarios, how to be forward thinking with regards to cybersecurity, and the...