Reviewerly/exHarmony huggingface dataset:
Web Based E-Commerce Application Buying andSelling Food Ingredients for Manado City

Abstract — During this pandemic, people often find it difficultand afraid to leave the house or go to the market to shop for food.For this reason, the people of Manado City need an application thatcan help people transact without having to go to the market, so theycan avoid the spread of the corona virus. By utilizing technology inthe field of e-commerce applications, this research aims to build asystem that can assist the community in obtaining information andpurchasing the desired food without having to leave the house.Research by conducting the RAD methodology makes it easier forresearchers to design, design and implement to design this foodapplication. Research with the title of web-based e-commerceapplications for buying and selling food for Manado City has beensuccessfully built based on information technology and web-basedapplications, this system consists of two parts, namely the seller(admin) and also the buyer (user). The admin section functions asto enter, set prices, update food material data. Meanwhile, as auser, it is intended to view food price information and makepurchases. This food buying and selling application can helptraders and buyers in online transactions and distribute sales andpurchases optimally and how to introduce them using Web Browsertechnology.Keywords : Buying, E-Commerce, Food Materials, Manado, RAD,Selling .Abstrak — Dimasa pandemi ini masyarakat sering kesulitandan takut untuk keluar rumah atau pun kepasar untukberbelanja bahan pangan. Untuk itu masyarakat Kota Manadomemperlukan suatu aplikasi yang dapat membantu masyarakatdalam bertransaki tanpa harus kepasar, sehingga dapatmenghindari penyebaraan virus corona. Dengan memanfaatkanteknologi pada bidang aplikasi e-commerce, penelitihan inibertujuan untuk membangun sistem yang dapat membantumasyarakat dalam mendapatkan informasi dan pembelian bahanpangan yang diinginkan tanpa harus keluar dari rumah.Penelitihan dengan melakukan metodologi RAD mempermudahpeneliti dalam merancang, mendesain dan implementasi untukmerancang aplikasi pangan ini. Penelitihan dengan judul aplikasie-commerce jual beli bahan pangan untuk Kota Manado berbasisweb telah berhasil di bangun berdasarkan teknologi informasidan berbasis aplikasi web, sistem ini terdiri atas dua bagian yaitupenjual (admin) dan juga bisa sebagai pembeli (user). Bagianadmin berfungsi sebagai untuk memasukan, mengatur harga,memperbaharui data bahan pangan. Sedangkan sebagai userdiperuntukan untuk melihat informasi harga pangan danmelakuan pembelian. Aplikasi jual beli bahan pangan ini dapatmembantu pedagang dan pembeli dalam bertransaksi secaraonline dan mendistribusikan tentang penjualan serta pembeliansecara optimal dan cara memperkenalkannya denganmenggunakan teknologi Web Browser.Kata Kunci: Beli, Bahan Pangan, E-Commerce, Jual, Manado,RAD.
A Study of Privacy Preserving Using Anonymization Techniques

Now a day’s there is an extensive use of technology that has led to a massive increase in the amount of data that is generated. The analysis of such information will help the business and organization in various ways and also contributing beneficially to society in many different fields. As this data also contains the considerable amount of user-sensitive and private information, it will lead to the potential threats to the user’s privacy if the data is published without applying any privacy preserving techniques to the data. This paper discusses the various anonymization techniques such as generalization and suppression which are used to preserve privacy during data publishing.
A Fast and Small Subsampled R-Index.

The $r$-index (Gagie et al., JACM 2020) represented a breakthrough in compressed indexing of repetitive text collections, outperforming its alternatives by orders of magnitude. Its space usage, $\mathcal{O}(r)$ where $r$ is the number of runs in the Burrows-Wheeler Transform of the text, is however larger than Lempel-Ziv and grammar-based indexes, and makes it uninteresting in various real-life scenarios of milder repetitiveness. In this paper we introduce the $sr$-index, a variant that limits the space to $\mathcal{O}(\min(r,n/s))$ for a text of length $n$ and a given parameter $s$, at the expense of multiplying by $s$ the time per occurrence reported. The $sr$-index is obtained by carefully subsampling the text positions indexed by the $r$-index, in a way that we prove is still able to support pattern matching with guaranteed performance. Our experiments demonstrate that the $sr$-index sharply outperforms virtually every other compressed index on repetitive texts, both in time and space, even matching the performance of the $r$-index while using 1.5--3.0 times less space. Only some Lempel-Ziv-based indexes achieve better compression than the $sr$-index, using about half the space, but they are an order of magnitude slower.
AN ANALYSIS OF STUDENTS' MOTIVATIONS TO IMPROVE THEIR ENGLISH LEARNING ACHIEVEMENT (A Case Study at the Fourth Semester of Sharia Economics Students of IAIN Salatiga in the Academic Year of 2019/2020)

Rohmatin, Eni. 2020. An Analysis of Students’ motivations to Improve Their English Learning Achievement (A Case study at the Fourth Semester of Sharia Economics Students of IAIN Salatiga in the Academic Year of 2019/2020). A Graduating Paper.English Education Department of Teacher Training and Education Faculty. State Institute for Islamic Studies (IAIN) Salatiga.Counselor: Dra. Widyastuti, M. Pd.The objectives of this research are to investigate the types and effect of motivation in improving students’ English learning achievement at the forth semester of Sharia Economics Department of IAIN Salatiga in the academic year of 2019/2020. This research generally answers two questions as: (1) What are the types of Sharia Economics students’ motivations in learning English, with reference to the intrinsic - extrinsic framework? And (2) How do the Sharia Economics students improve their English learning achievement?The methodology of this research was qualitative research with case study approach which the writer analyzed the data from conducting research with several theory. The data were collected using questionnaire and interview.Finding from this study that the Sharia Economics students were extrinsically motivated and their intrinsic motivation was sufficient, too. Eventhough external motivation was the dominant motivation, both extrinsic and intrinsic motivations contribute to the students English learning. One’s motivation is greatly related to one’s achievement, so the circular effect of motivation and achievement has been discussed. There are two ways to improve student English learning achievement. First, the student need to build a motivation from some motivation factors, it could be intrinsic and extrinsic factor. Second, the student will have a desire from that motivation to do efforts to improve their English learning achievement.Keywords: Motivation; Intrinsic Motivation; Extrinsic Motivation; Achievement
Fair Use Jurisprudence 2019-2021: A Comprehensive Review

Copyright covers a huge range of expressive activity and is automatic. Just about anyone who wants to do more than read, watch, or use a work relies on the doctrine of fair use in order to avoid liability for copyright infringement. The Supreme Court has referred to fair use as a sort of safety valve that provides breathing space to allow copyright to coexist with freedom of expression. And it is an evolving doctrine; disputes concerning fair use are constantly working their way through the American legal system, but the vast majority of cases do not make the news despite their importance to creative expression and innovation. At the UCI Intellectual Property, Arts, and Technology Clinic, we work with independent filmmakers to make sure that when they do need to make fair use, they can do so responsibly, appropriately—and safely. Over the past couple of years, our Filmmaker Counseling team began to hear of a rising number of fair use opinions coming out of the federal courts, and we decided to embark on an exhaustive study of recent fair use decisions in copyright infringement cases. In total, we identified and analyzed seventy-two opinions issued by federal courts and made available on Westlaw or Lexis between January 1, 2019, and February 25, 2021. In this document, we provide abstracts of 72 opinions along with some commentary on selected cases. We have also prepared an online table of these cases, which is available at the UCI Intellectual Property, Arts, and Technology Clinic website.This document and our Table of Cases will be updated periodically as new cases are decided
Winograd aware Quantized Neural Network accelerator design

Convolutional Neural Networks (CNNs) are widely used in several application fields such as image processing, computer vision and speech recognition. Their high accuracy is obtained at a cost of a huge amount of parameters and so an high memory demand and number of MAC operations. Hardware accelerator are required in order to speed up the inference. Even if GPUs are the main hardware accelerator platforms because of their huge computation capabilities, they are power-greedy devices, not suitable for embedded and mobile applications, where the computational, memory and power resources are limited. Therefore, FPGA based accelerators can be considered which can offer the right trade-off between performance and flexibility limiting the power consumption. Quantization and Tiling techniques can be exploited to reduce the complexity of MACs and to limit the SRAM and DRAM requirements respectively, bringing benefits in energy consumption and/or throughput. Winograd algorithm allows to reduce the number of MAC operations required to perform the convolution and so to speed up the inference. The speedups increase when operating with larger tile size exposing instability in quantized convolution by producing high numerical error resulting in severe degradation of accuracy. The purpose of this thesis is to design a reconfigurable FPGA accelerator exploiting 8-bit quantization and Winograd algorithms (F(2x2,3x3) and F(4x4,3x3)) adopting tiling method to increase the data reuse and reduce the off-chip DRAM accesses limiting the accuracy degradation introduced by the the optimization techniques.
Benchmarking VAE latent features in downstream tasks for cancer related predictions

Using RNA sequence data for predicting patient properties is fairly common by now. In this paper, Variational Auto-Encoders (VAEs) are used to assist in this process. VAEs are a type of neural network seeking to encode data into a smaller dimension called latent space. These latent features are then used to do downstream task analysis such as cancer types, survival time and cancer stages, with the help of a MLP classifier. Furthermore, the training process itself is also analyzed with the usage of UMaps. The purpose of this paper is to compare different VAE models on their effectiveness in providing training data used for the predictions. The predictions mostly consist of guessing when using any of the latent spaces, constructed by the VAE models, as input data for the MLP classifier. The NoVAE model is the only model with slightly better performance when it comes to mean accuracy and standard deviation. The guessing issue is further analyzed with the help of UMaps. The VAEs are able to classify the input data during the training process, but when faced with new data, this end up not being the case. Both the learning rate and β term yield interesting results regarding the modification of the input data and variational property respectively. A lower learning rate leads to better classification, but this is due it deviation less from the original input data. When using a small β term with the β-VAE, the output is similar to that of the VanillaVAE. Meaning the VanillaVAE does not perform better than a regular autoencoder.
LibGuides: Instructional Development: Getting Started

This guide provides multiple resources to fit with your professional instructional goals. Each tab includes books, ebooks, and articles vetted by the Teaching and Learning Centre of Innovation staff to ensure credible, valid, and up to date information.
What genre is Wikipedia

Producing large language corpora is not only highly work-intensive, but also increasingly a process made difficult (and in some cases impossible) by legal hurdles, from copyright to data protection legislation, as well as potentially extensive ethics approval procedures at research institutions. Meanwhile, a vast and topically diverse and multilingual resource is readily available for use and redistribution in the form of Wikipedia (www.wikipedia.org). An important determinant the corpus-linguistic usefulness of this resource is the question after what generalisations can be drawn from linguistic observations derived from Wikipedia texts. One aspect of this, in turn, concerns the extent to which Wikipedia texts represent a unique genre, separate from genres one might find in a reference corpus – in other words, it concerns the question of what genre Wikipedia is.In this presentation, I approach this question from the point of view of language-internal markers of genre that correlate with external designations such as those used by corpus compilers. Gries (2010) showed that one such marker, the Gravity measure of relative association strength in shared bigrams (Daudaravicius and Marcinkevicienė, 2004), is particularly promising: of 19 sub-registers of the BNC Baby, Gries was able to perfectly re-create the four main register groupings of the BNC Baby using hierarchical clustering. Employing the same technique, I show that Wikipedia texts form a separately distinguishable genre grouping, on par with the BNC Baby’s other genre categories. Wikipedia texts pattern nearest journalistic prose, and in the vicinity of the BNC Baby’s fiction and academic genres and together with the other written genres is clearly distinguished from the BNC Baby’s spoken language genres. This confirms that Wikipedia texts are not representative of language in the way a reference corpus is, but equally that Wikipedia texts group with other written genres of the BNC Baby. Finally, I reflect on the methodological merits of the approach taken and its robustness.
Children Video Puzzle Interaction Framework Based on Multi-Touch Technology: An ISO 9241-11:2018 Approach

This paper introduces a children video Puzzle interaction framework that act as research methodology to evaluate pre-school children’s actual interaction experience with video puzzle based on multi-touch technology. The aim of evaluating the children video Puzzle interaction experience is to enable the preschool children to achieve their interaction goals effectively, efficiently and with great actual use experience, in their everyday context of use. In this paper, video puzzle is employed as an interactive content, and as a tool to evaluate the efficiency of task completion time, move, and errors as a result from the pre-school children’s actual interaction with video puzzle. Further, Catch-the-Stars application designed based on Fitt’s law principle was used to evaluate the most effective region of range of targeting and accuracy by pre-school children’s interaction with multitouch surface. Lastly, a hybrid UTAUT model had been introduced to understand the factors that actually influence the satisfaction of children video puzzle interaction using two type of multi-touch surface, namely 21.5' all-in-one PC and 10.1 Asus tablet. The children video puzzle interaction framework is designed to incorporate the three components of usability for an interactive system, namely, effectiveness, efficiency and satisfaction in a single framework, to understand the interactions among pre-school children and interactive system, in this paper, a combination of video puzzle and multi-touch surface technology.
Electronic Health Records using Blockchain and Cloud computing

Blockchain technology eliminates the need for a central system to guarantee information integrity and custody of data, as well as to mediate transactions and the exchange of crypto assets, by allowing safe and pseudo-anonymous transactions and bilateral agreements between participants. It has crucial qualities like immutability, decentralization, and openness that could help with pressing healthcare challenges including inadequate records at the point of care and restricted access to patients' own medical information. Interoperability software system and technology frameworks to interact safely and efficiently, share data, and utilize that data across healthcare organizations and application vendors, resulting in a more efficient and effective public health system. Due to a lack of interoperability, healthcare today suffers from compartmentalized and disjointed data, hindered communications, and fragmented workflow tools. In a safe and pseudo-anonymous manner, blockchain provides access to longitudinal, full, and adulterate aware medical records that are kept in fragmented systems. The goal of our suggested scheme is to first integrate blockchain technology for EHR and then to enable safe storage of electronic records for users of the framework by defining granular access controls. The following framework gives the EHR system the advantages of a blockchain-based solution that is extensible, secure, and integrated.
Hiking preparedness model (HiPrep): a scenario of Malaysian hikers awareness / Nik Jazwiri Johannis … [et al.]

Mountain hiking is a well-known outdoor recreation activity in Malaysia. In fact, it became phenomenon since 2016 when the social media platform took place as a mainstream. Many people tend to hike some hiking spot which went viral. They liked to share their awesome pictures and experience as well. However, since then, accident and incident during mountain hiking activities in Malaysia drastically increased. Many hikers injured, died and lost in the jungle which previous study showed that human led were part of the cause. As a result, tons of SAR operations have been done and it was costly, time consumed and difficult. Regard to this circumstance, hiker’s preparedness doubted. Therefore, the main purpose of this study was to know the scenario of Malaysian hiker awareness on hiking preparedness from the expert point of view. Thus, an interview of local experts had been conducted. The finding showed, all the experts agreed that most of hikers nowadays were lack of knowledge about preparedness in terms of physical, knowledge and equipment. They stress out that most of the new hikers were not carried along basic things during their hiked such as headlamp, extra clothes, extra food and drinks, whistle and pocket knife. Experts also revealed that many newbie hikers didn’t wear appropriate attire during a hike such as wrong shoes and backpack which end up with safety issue. This results could make researchers in the same area of interest to aware on the hikers’ scenario in order to capture the Hiking Preparedness Model (HiPrep) in the future plans especially Hiking concerned.
Library guides / Biblioteekgidse: Makerspace: Training

Provide a collaborative technologically focused environment for SU students and staff to invent, create and learn while sharing.
TEXT CLASSIFICATION AND PREDICTION USING DEEP LEARNING TECHNIQUES

To design a dataset, the related domain knowledge plays a vital role. This domain knowledge is formed by the researchers with the help of online information. This research work explains database construction using sqlite database and also predict fault data already available or not in that database based on spelling using Python API. This study further helps in the creation of classified faults.
Hybrid Cryptographic Security System in Heroku Cloud

Cloud computing offers the possibility of on-request, flexible registering, gave as a utility administration, and it is reforming numerous areas of figures. It makes it simpler to meet the objectives of the authoritative to the cloud administrations. Cloud computing has curved out to be dynamically increasingly well known in light of the fact that it offers clients the dream of having boundless registering assets, of which they can use as much as they need, selective of worried about how those records are given. Numerous security models have been given respect to Cloud figuring however the majority of them had their attention on a specific security risk as opposed to taking into account the whole framework. Anyway, Cloud Security keeps on being the greatest obstruction in Heroku Cloud and in this manner keeps clients from getting to its administrations. In this paper, we have proposed a Hybrid Cryptographic System (HCS) that joins the advantages of both symmetric and hilter kilter encryption consequently bringing about a safe Heroku Cloud condition with the assistance of AES and RSA calculation.
Body Language Application in English Classroom Teaching from the Perspective of Environment

In order to improve the teaching effect, educators, especially the front-line teachers, make great efforts to study and try various teaching methods and means.However, these researches and attempts are generally limited to knowledge itself, and rarely involve non knowledge factors, especially the body language in classroom teaching.Starting from the construction of English teaching environment, this paper discusses the teacher's body language, aiming at forming a harmonious environment for English teaching, so that the teaching can be carried out smoothly and yield twice the result with half the effort.
EXPERIENCIAS DE INTERVENCIÓN PSICOLÓGICA A TRAVÉS DE LAS REDES SOCIALES EN LA PROVINCIA CIEGO DE ÁVILA : EXPERIENCIAS DE INTERVENCIÓN PSICOLÓGICA A TRAVÉS DE LAS REDES SOCIALES

The social isolation and confinement imposed by COVID-19 has required psychology professionals to extend the scope of their interventions to the digital context. The present work was directed to the presentation of the main results of several experiences of psychological intervention through groups created in the social networks Facebook, WhatsApp and Telegram, as an initiative of the University Welfare Group of the University of Ciego de Avila Maximo Gomez Baez, in the period between April and October 2020. These virtual groups aimed to provide psychological support to their members, on various topics. The selection of these resulted from the application of surveys carried out systematically to know the main needs of the participants. Based on these results, bibliographic searches and documentary analyzes were carried out on each suggested topic and educational materials were prepared that were later shared. Activities to be carried out by the family at home and that are helpful in controlling negative emotional states were also suggested, and information published by other channels with similar content was disseminated as a collaboration. To evaluate the effectiveness of these groups, surveys were conducted and user comments were collected. In general, the work of the groups created was evaluated as satisfactory and the suggestions were related to increasing interactivity with the members of each group, using more graphics and images to represent the information offered and expanding the scope of these to other means of communication.