Reviewerly/exHarmony huggingface dataset:
SEJARAH dan PERKEMBANGAN INTERNET DI INDONESIA

Abstract Indonesian internet history began in the early 1990s. At that time, Internet network in Indonesia is better known as a community network, where the spirit of cooperation, kinship and mutual cooperation is very warm and felt among the perpetrators. Somewhat different from the atmosphere on the development of Indonesian Internet then that feels more commercial and individual in most activities, especially those involving Internet commerce. Since 1988, there was an early user of the Internet in Indonesia that utilize CIX (England) and CompuServe (U.S.) to access the Internet.
Iteration Analysis of Reading Materials in ELT Book, Developing English Competencies 3: (Analisis Pengulangan Kata Materi Ajar Membaca dalam Buku Ajar Bahasa Inggris, Developing English Competencies 3)

Learning a language is fundamental and deeply dependent on vocabulary. To be selective in learning materials, especially reading texts presented in the textbooks used in the learning process in the classroom is very important for success of learning. The materials of ELT (English Language Teaching) books are supposed to provide sufficient quantity and range of words, vocabulary improvement, and strategies for self-learning. But, this study is focused only on the lexical units introduced in the reading texts. Two problems are questioned to figure out the lexical items of the reading materials presented in the ELT book: how many lexical units consider the most frequent words in English corpora and how many lexical units are presented in rehearsal or iteration. Descriptive quantitative methodology was used to research an e-book, Developing English Competencies 3, which the corpus became the object in this study. Observation and computational tool; RANGE and FREQUENCY, were applied as the instrument to make easier counting and analyzed by comparing to general frequency list. It was found that the book was clearly unbalanced about the amount and distribution throughout the three ranges. Then, the opportunities for repetitive practice were very poor. Many frequent words did not fit the English general scale of frequency.
High Rate Real Time GNSS monitoring of active volcanoes: 20 years of applications to Italian volcanoes

&amp;lt;p&amp;gt;Since 2000 an intense development of remote stations, transmission device, data processing software and tools for time series analysis aimed to high rate GNSS surveillance and monitoring of active Italian volcanoes has been realized or implemented at INGV. Since the very first case study (the 2001 Mt.Etna&amp;amp;#8217;s eruption) to the 2019 paroxysms of Stromboli, many observations and a lot of specific experience has been achieved on Italian active volcanoes (Etna, Stromboli) to track rapidly developing deformation patterns associated to different volcanic processes, as dike intrusions or explosive activity. Moreover, we here describe the hardware and software improvements for High Rate GNSS monitoring network with a specific attention to the recently realized network in the densely populated area of the Campi Flegrei caldera.&amp;lt;/p&amp;gt;
Tilt-Responsive Techniques for Digital Drawing Boards (UIST 2020 Paper)

Drawing boards offer a self-stable work surface that is continuously adjustable. On digital displays, such as the Microsoft Surface Studio, these properties open up a class of techniques that sense and respond to tilt adjustments. Each display posture—whether angled high, low, or somewhere in-between—affords some activities, but not others. Because what is appropriate also depends on the application and task, we explore a range of app-specific transitions between reading vs. writing (annotation), public vs. personal, shared person-space vs. task-space, and other nuances of input and feedback, contingent on display angle. Continuous responses provide interactive transitions tailored to each use-case. We show how a variety of knowledge work scenarios can use sensed display adjustments to drive context-appropriate transitions, as well as technical software details of how to best realize these concepts. A preliminary remote user study suggests that techniques must balance effort required to adjust tilt, versus the potential benefits of a sensed transition. Video embedded below, or watch on YouTube
Introduction to Blockchains and Cryptocurrencies

Blockchains and cryptocurrencies are now topics of substantial impact that academia, practitioners and the IT industry need to contemplate, study, research, publish, innovate, exploit and adopt. This book titled Blockchain Technologies, Applications and Cryptocurrencies intends to provide information on the innovative, scholarly and professional research pertaining to the management, organization and technological use of blockchains and cryptocurrencies. The chapters in this book will be essential for anyone interested in these areas. This book is one of the few dedicated entirely to blockchain technologies, applications and cryptocurrencies…
Collaborative environment for shared virtual reality

Despite the cost reduction and the large availability of models on the market, the widespread diffusion of Head Mounted Displays (HMDs) in the consumer market is still far away. Thus, it often happens that Virtual Reality (VR) is a single-user experience that excludes bystanders. In contrast, cellphones and tablets are omnipresent, which makes them the perfect candidates to share the HMDs experiences. We are proposing a CVE (Collaborative Virtual Environment) solution, where the users without an HMD could interact with the ones who have it using their HHDs (HandHeld Devices) . We addressed the problem of creating an asymmetric collaborative solution by taking into account all the novels challenges associated with users that share different hardware. To this end, we designed a shared application that enables to make 3D manipulations, while satisfying all the requirements needed to avoid the decrease of awareness due to the different views. We conducted a user study and used the data collected to demonstrate that the application makes possible collaborations between HMDs and non-HMD users, giving our contributions alongside other research in the field.
LibGuides: Troubleshooting E-resource Issues: Database Access Issues

This guide offers answers to the most common errors our users experience when attempting to access a library database or e-resource.
Improving future optical Earth Observation products using transfer learning

&amp;lt;p&amp;gt;Pixels covered by clouds in optical Earth Observation images are not usable for most applications. For this reason, only images delivered with reliable cloud masks are eligible for an automated or massive analysis. Current state of the art cloud detection algorithms, both physical models and machine learning models, are specific to a mission or a mission type, with limited transferability. A new model has to be developed every time a new mission is launched. Machine Learning may overcome this problem and, in turn obtain state of the art, or even better performances by training a same algorithm on datasets from different missions. However, simulating products for upcoming missions is not always possible and available actual products are not enough to create a training dataset until well after the launch. Furthermore, labelling data is time consuming. Therefore, even by the time when enough data is available, manually labelled data might not be available at all.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;To solve this bottleneck, we propose a transfer learning based method using the available products of the current generation of satellites. These existing products are gathered in a database that is used to train a deep convolutional neural network (CNN) solely on those products. The trained model is applied to images from other - unseen - sensors and the outputs are evaluated. We avoid labelling manually by automatically producing the ground data with existing algorithms. Only a few semi-manually labelled images are used for qualifying the model. Even those semi-manually labelled samples need very few user inputs. This drastic reduction of user input limits subjectivity and reduce the costs.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We provide an example of such a process by training a model to detect clouds in Sentinel-2 images, using as ground-truth the masks of existing state-of-the-art processors. Then, we apply the trained network to detect clouds in previously unseen imagery of other sensors such as the SPOT family or the High-Resolution (HR) Pleiades imaging system, which provide a different feature space.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;The results demonstrate that the trained model is robust to variations within the individual bands resulting from different acquisition methods and spectral responses. Furthermore, the addition of geo-located auxiliary data that is independent from the platform, such as digital elevation models (DEMs), as well as simple synthetic bands such as the NDVI or NDSI, further improves the results.&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;In the future, this approach opens up the possibility to be used on new CNES&amp;amp;#8217; missions, such as Microcarb or CO3D.&amp;lt;/p&amp;gt;
App móvil para el aprendizaje de componentes básicos de la computadora en niños de educación básica

INTRODUCTION. The implementation of a mobile app designed for different activities, facilitates the development of electronic learning through interaction. Learning about computers in children starts with familiarization of basic components of the computer, such as: monitor, CPU, keyboard, mouse, printer, among others, which serve as an introduction of knowledge. OBJECTIVE. To produce a mobile app for learning basic computer components in children of Basic General Education. METHOD. This study was documentary. The type of investigation was exploratory, because a study of the problem detected in the educational institution was carried out to determine the knowledge’s contents in depth. The mobile app was developed using the “Systematic Model for the Development of Computerized Educational Material methodology”, proposed by Alvaro Galvis. RESULTS. A mobile app was obtained. It allows the learning of basic computer components of the first block, “My Computer” of the computation subject. CONCLUSIONS. The educational mobile app is used for teaching the subject computing and students can use it in their self-preparation. The actions proposed for its use favored its implementation in a uniform and didactic way.
Seismic Risk Mapping in Catbalogan City: Inputs to Damage Mitigation

Earthquake is very hard to predict, however it can be simulated to various ground shaking magnitudes with the use of a computer tool called REDAS (Rapid Earthquake Damage Assessment Tool). To determine the estimate of damage loss in Catbalogan City in terms of building physical damage, number of casualties, and economic loss; the earthquake hazard exposure database have been first established. The data acquired from the field survey were incorporated with the data sourced from PSA and LGU Offices. The REDAS simulation generated hazard maps, seismic risk maps, and impact tables at different earthquake magnitudes. Areas that are denser in terms of population and number of buildings, and near earthquake epicenter has the highest potential to seismic risks. The picture of scenario after the event of a strong earthquake will help LGU strategize mitigation process in order to lessen its impact to Catbalogan.
Applications pour le suivi des contacts COVID-19: trop de questions et peu de réponses[[[en]]]Apps for COVID-19 contact-tracing: too many questions and few answers.

Recently, for the second phase of prevention of the COVID-19 Pandemic, it is being assumed the use of an app for the prevention of infections COVID-19. The utility of these apps is not yet proven and the apps for COVID-19 contact-tracing probably cannot be used as a preventive tool until the bioethics and legal issues related to their use are resolved.
Gradient Analysis of Loss Function Based on System Balance

In recent years, deep learning has been widely used in various fields of social life. The theoretical understanding on how it works also makes people curious.In this paper we treat features of sample as points in multi-dimensional space and gradients as stress between these points. In this system we can prove that the property “strong convexity” we defined is a sufficient condition for softmax loss function to converge to a good model. We also showed an example to estimate the capacity of features of fixed dimensions.During the proof we can see that the convergence process could be divided into two stages. In the first stage the strong convexity is formed. In the second stage this property stably guide the features to the ideal place.
Research Guides: Current Issues: Voting Rights

Start exploring resources for various current issues. Current voting rights issues, including representation, felon voters, voter ID laws.
LibGuides: Lexis Digital Library for the Public: Signing up for the Lexis Digital Library

This guide provides an overview of the Lexis Digital Library and how the public can gain access to it.
ANALYSIS PHASE: THE FOUNDATION OF INSTRUCTIONAL SYSTEMS DESIGN (ISD

An x-ray of the various Instructional System Models in literature reveals that some elements are common to all. This is the product of the ADDIE Model, a household name in the Instructional Systems Design family. This model is represented by an acronym; A (Analysis), D (Design), D (Development), I (Implementation) and E (Evaluation). While the paper has a succinct look at ISD on a general note; however, the focus of the discourse is on the first element (Analysis), the sure foundation on which the other elements/activities are effectively anchored. On this note, the paper specially aligned with such core features of the phase, covering; need assessment; determination of instructional goal; instructional task; audience analysis, objective statement; critical incident analysis; resource consideration and formative evaluation. The reason is that whatever transpires in the other 4-components of the Model is a reflection of their presence at this first and foundation phase, as we do not import anything new into an instructional system that was not part of the take-off phase. Article visualizations:
LibGuides: Fall 2020 Library Services: Equipment

The library has whiteboard markers, scissors, calculators, laptops, and more at our main service desk. At this desk you can also pick up Digital Lab equipment such as cameras, microphones, and tripods.
A deep learning model for scene recognition

Scene recognition is a hot research topic in the field of image recognition. It is necessary that we focus on the research on scene recognition, because it is helpful to the scene understanding top ...
A Contrastive Analysis of the Basic Sentence Patterns in English and Thai Languages

This paper concentrates with finding the similarities and dissimilarities and describing thecategories of the basic sentence patterns in English and Thai Languages. The researchers used thedescriptive and contrastive methodologies to find out the valid data, after reviewing the data, the researcherhas found out some information based on the analysis. In English, there are four categories namely: simplesentences, compound sentences, complex sentences, and compound-complex sentences. In writing forms,each sentence begins with capital letter and ends with a full stop, exclamation mark or question mark.Moreover, they leave a space between words. In Thai, there are three categories namely: simple sentences,complex sentences, and compound sentences. In writing forms, each sentence does not have capital or smallletters, and there is no space in between words but a space is required at the end of the sentence beforeanother sentence begins. In fact, English and Thai come from different family of languages, therefore theyhave a lot of different grammatical systems. However, both the languages have the same basic sentencepatterns.
Smart devices use and reading habits of private secondary school students in Ibadan, Oyo State, Nigeria

The advent of digital media and the growing collection of digital documents have had a profound impact on reading. This study was carried out to investigate the influence of smart devices utilisation on the reading habits of students in selected private secondary schools in Ibadan, OyoState, Nigeria. The study adopted the survey research design with a study population of 408 secondary school students in five private secondary schools in Akinyele LGA of Oyo State. A simple random sampling technique was used to select 50% of the population while questionnaire was the main instrument for data collection. Data was analysed using frequency distribution, mean and standard deviation for the research questions. Findings revealed that that Android (Techno, Samsung, Gionee, Infinix) 60.7% and Blackberry 12.6% were the mostly used mobile smart devicesby the secondary school students. These devices were mostly used on daily basis. Some of the purpose of use of mobile smart devices by secondary school students in Akinyele LGA were for communication (e.g., calls, texting, e-mails); completing assignments; and for social networking. Results further revealed that concerning reading habits of students, 96.2% of the students read to acquire knowledge; 91.2% like reading always; and 61.2% students like reading on smart devices. Distraction from the use of mobile devices, high cost of textbooks and other reading materials, as well as inadequate time to read were some of the major challenges to reading habits of students in the selected secondary schools. Many students now prefer to read on smart devices rather than the printed texts. Apart from this, reading class notes and subject related textbooks have become theirusual habits. This can be attributed to the availability and the handy nature of the mobile smart devices which offer the students opportunity of accessing information on the go. Therefore, parents should monitor the use of smart phones by their children to prevent the distractions. Also, School authorities should also formulate rules and policies guiding the use of mobile smart devices among students while in school.Key Words: Devices, Smart, Reading, Habit, Students, Schools.
Deepfake: An Emerging New Media Object in the Age of Online Content

This thesis aims to understand the phenomenon of deepfake as new media objects and how deepfake content circulate and are consumed online. Deepfake is a newly emerging technology that face swaps targeted individual faces in existing media using machine learning. To document and recognize deepfake in the field of media studies, this thesis attempts to translate the technicality deepfake technology through the perspective of media studies.
A Neural-Network-Based Approach to Chinese–Uyghur Organization Name Translation

The recognition and translation of organization names (ONs) is challenging due to the complex structures and high variability involved. ONs consist not only of common generic words but also names, rare words, abbreviations and business and industry jargon. ONs are a sub-class of named entity (NE) phrases, which convey key information in text. As such, the correct translation of ONs is critical for machine translation and cross-lingual information retrieval. The existing Chinese–Uyghur neural machine translation systems have performed poorly when applied to ON translation tasks. As there are no publicly available Chinese–Uyghur ON translation corpora, an ON translation corpus is developed here, which includes 191,641 ON translation pairs. A word segmentation approach involving characterization, tagged characterization, byte pair encoding (BPE) and syllabification is proposed here for ON translation tasks. A recurrent neural network (RNN) attention framework and transformer are adapted here for ON translation tasks with different sequence granularities. The experimental results indicate that the transformer model not only outperforms the RNN attention model but also benefits from the proposed word segmentation approach. In addition, a Chinese–Uyghur ON translation system is developed here to automatically generate new translation pairs. This work significantly improves Chinese–Uyghur ON translation and can be applied to improve Chinese–Uyghur machine translation and cross-lingual information retrieval. It can also easily be extended to other agglutinative languages.
Detection of Microcalcifications in Digital Mammogram Using Curvelet Fractal Texture Features

In this work, an attempt is made to Segment and find features of the segmented mammogram Images and finally mammogram images are classified as normal and abnormal. The mammogram images used for this work are considered from MIAS Database. The database includes 322 digitized films and all the images are of size 1024x1024. It consists of 322 images (208 normal images and 114 abnormal images). Initially, mammogram images are subjected to pre-processing using Discrete Cosine Transform to enhance the edges of the mammograms. Then, sharpened images are cl using the Fuzzy C-means Clustering algorithm. After segmentation, Curvelet coefficient and fractal Dimension values are obtained using Discrete Curvelet Transformand Fractal textures respectively. The average values of obtained curvelet coefficient and fractal dimension values for both normal and abnormal mammogram images are compared. Finally, The mammogram images are classified using an Ensemble Fully Complex-Valued Relaxation Network Classifier. The Classifier is used foe the classification of the mammogram images as normal and abnormal.
Implementation of the crustal scarcity indicator into life cycle assessment software

This report provides a detailed description of how the crustal scarcity indicator (CSI) is implemented into the life cycle assessment (LCA) software OpenLCA. The original characterization factors for the CSI, called crustal scarcity potentials (CSPs), were designed to be paired with life cycle inventory data formulated as the amount (mass) of elements extracted from the crust. However, some inventory data is not formulated in terms of mass of elements extracted. For example, data in the Ecoinvent database – the world’s largest LCA database – can also be expressed in terms of the amount of mineral extracted, the amount of rock extracted, or the amount of ore extracted. In order to implement the CSI into OpenLCA in a way that captures such nonelement flows, we construct five categories of inventory data for material flows extracted from the crust. Type A flows are flows of elements, such as lead or tin, which the original CSPs can be paired with. Type B flows are flows of minerals, such as kieserite or stibnite. Type C flows are flows of rocks and groups of minerals, such as basalt or olivine. Type D flows are ores, like copper ore. Type A flows are paired with the CSPs of the respective element types. However, for type B, C and D flows, new CSPs were calculated based on their respective content of different elements. These new CSPs can be found in Appendix A-D. In addition, type E flows are those that are too vaguely formulated in the Ecoinvent database, for example as general metal or ore, making it impossible to derive CSPs. In the concluding discussion, we show that this implementation gives the CSI a wider coverage of different inventory flows than other existing mineral resource impact assessment methods implemented in different packages for OpenLCA. The implementation might thus be considered a guidance for a more all-encompassing implementation of other mineral resource impact assessment methods as well.