Reviewerly/exHarmony huggingface dataset:
LibGuides: Recursos de Coronavirus para hispanohablantes en Santa Clara | Coronavirus Resources for Spanish Speakers in Santa Clara: Início | Home

The purpose of this guide is to provide resources, such as books, e-books and websites, dedicated for Spanish speakers to easily find information on the novel coronavirus (COVID-19)
Evaluation of Feature Extractors for Sign Language Recognition

Hand gestures play a very dominant role in human daily life to pass the information. The main application of hand gesture recognition is recognition of sign language. Sign language plays a crucial role to communicate with deafness and hearing-impaired community. Modern enhancement in machine learning and computer vision has given a number of techniques for modeling recognition system of sign languages. A work is produced here to evaluate feature extractors and classifiers for sign language recognition system. This recognition system recognizes alphabets (A to Z) presented by signer with different precision depends upon the pair of feature extractor and classifier. This work uses three feature extractors namely Wavelet Transform, Curvelet Transform, Contourlet Transform and two classifiers namely Neural Network and K-Nearest Neighbor which uses supervised learning to classify input data.
Digital Design Systems Controlling Using FPGA Realization

The plan and acknowledgment of the Adaptive Neuro-Fuzzy Inference System (ANFIS) regulator dependent on Field Programmable Gate Array (FPGA) is introduced in this paper. The regulator is expected to control the temperature of the clinical broiler. An epic plan of computerized ANFIS is presented here for the user interaction. Various regulators are planned and their outcomes are contrasted utilizing MATLAB program to show the ANFIS prevalence. The planned regulators tried for cell society’s application at 37.5℃. A decrease is made for the planned computerized ANFIS because of the utilized FPGA limits. The decreased plan limits the used cuts from 366% to 3% and LUTs from 364% to 3%. The diminished plan arrived at an ideal size for this regulator to use a less memory size. An ongoing FPGA execution of the proposed advanced ANFIS have been done and checked through Xilinx ISE 14.6 utilizing the VHDL language. An examination between the reenactment and execution results is made. The coordination between these outcomes demonstrates the viability and vigor of the proposed computerized ANFIS and the magnificent exhibition of the FPGA based regulator.
Fighting Platforms and the People, not the Pandemic: #ResignModi and Disinformation Governance in India - an update

It is not usually a good sign that you are asked to write a follow-up to a Verfassungsblog post. In late February, we described the travails of Twitter in India, which largely bowed to government pressure to block users and censor hashtags. Now, this fight has become larger. To control social media-driven criticism against its handling of the COVID-19 crisis, the Indian government, led by Prime Minister Narendra Modi, can now take advantage of new powers via the Information Technology (Guidelines for Intermediaries and Digital Media Ethics Code) Rules 2021 (IT Rules 2021). For Big Tech, who have been fending off external regulation globally and consider India as their largest market, this is an acid test. The IT Rules 2021 empower the Modi government to counter disinformation, whose definition seems to have been stretched to include content that portrays the government negatively. The government can override the platforms' agency here and make them toe its line. How platforms react will have a domino effect on users' freedom of expression and right to privacy across the world.
Investing Performance of N-Gram Fuzzy Keyword Search on Encrypted User Data in Cloud Using Jaccard Calculation

Now-a-days users mostly store their personal data and professional data on the cloud. As a result, there is massive increase in the storage and computing requirements of users. Every time, the data is getting transferred to the remote server in larger chunks, without analyzing whether the server on which the data is outsourced, is a trusted server or not. But the fact is, after outsourcing the data, users are at great security risk factor that tends to lose the local possession of their large size of data. So, to maintain the privacy of personal data/documents stored in cloud environment, it should first get encrypted before outsourcing to the cloud server. After the data is placed on the cloud, retrieving the same data becomes quiet a tedious job. Thus, to retrieve the data several approaches are available in which keyword enabled search of the encrypted data is one of the outstanding techniques. Most of these approaches are only limited to handle a single keyword search with its own limitations. To enhance the searching method in terms of efficiency and speed, a fuzzy multi-key word search technique can be used to retrieve a corresponding document from cloud. The scheme of fuzzy keyword search remarkably improves the system efficiency and security over the cloud environment. The proposed scheme is convenient , manageable, and even requires less resource. The outcomes of this scheme are valid enough to get the accurate files or the closet possible match files searched by the user. Thus, we have proposed a secure search scheme supporting N-Gram fuzzy multi-keyword search over encrypted cloud data.
Creating a Bibliography in the Digital Age

Northwest Indiana, nicknamed “The Region” (after “Calumet Region” so-called because the area was inhabited by multiple Native American tribes, predominantly the Illinois, Miami, and Potawatomi tribes) comprises Lake, Porter, LaPorte, Newton, Jasper, and Starke Counties in Indiana. This region neighbors Lake Michigan and is part of the Chicago metropolitan area. The Calumet Region is the geographic area drained by the Grand Calumet and the Little Calumet Rivers of northeastern Illinois and northwestern Indiana in the United States. It is part of the Great Lakes Basin and a subregion of the greater Northwest Indiana region. Since much of this region is on the south shore of Lake Michigan, it is sometimes referred to as the “South Shore.”
변화의 시대, 문화접촉을 통한 힌두교권 유학생 선교 제언: 미로슬라브 볼프의 ‘포용신학의 포옹개념’을 중심으로

With the situation in which Korea is classified as a very low fertility country, Korean universities have grown rapidly with the government’s policy support to attract international students. However, reckless inflows are perceived as a factor that tarnishes universities and society. In this situation, Korean Protestant Universities faced the inevitable situation of sticking to its founding ideology and identity along with attracting international students. Therefore, this discussion attempts to make cultural contacts through Miroslav Volf’s idea of inclusion and suggests the possibility of missionary work. Protestantism hopes to overcome exclusion, improve relationships with others, and lead others to eternal life within improved relationships.
Execute Image Processing by using FPGA Acceleration

The domain specific language for Image Processing of has made a lot of interest taking into account its capacity of decoupling figuring from plans that license engineers to check for cutting edge mappings concentrating on CPU and GPU. While the Halide social order has been growing rapidly, there is at present no genuine method to easily outline the enormous number of Halide tasks to powerful FPGA enlivening specialists. To deal with this test, we propose Hetero Halide, a through and through structure for fusing Halide undertakings to FPGA enlivening specialists. This system uses both estimation and arranging information decided in a Halide program. Appeared differently concerning the present strategies, stream gave by Hetero Halide is unraveled, as it just requires moderate changes for Halide programs on the arranging part to be fitting to FPGAs. For part of the amassing stream, and to go about as the midway depiction of Hetero Halide, we pick Hetero CL, a heterogeneous programming establishment which supports diverse use back ends, for instance, systolic displays and stencil executions. By using Hetero CL, Hetero Halide can create capable animating operators by picking unmistakable backbends as demonstrated by the application. The introduction appraisal differentiates the stimulating operator made by HeteroHalide and multi-focus CPU and a present Halide-HLS compiler.
A comparison of learning algorithms for seasonal time series forecasting using NARX model

In this study, we propose a nonlinear autoregressive network with exogenous inputs (NARX) model with two deterministic seasonal dummy approaches, that is binary dummy variables and sine-cosine pairs. For significant lag is selected using a stepwise AIC method, including a deterministic seasonal dummy. While the number of neurons in the hidden layer is conducted by trial and error method on one to five neurons. The NARX model is trained using five types of algorithms and a tangent hyperbolic activation function. Each algorithm is compared on all approaches to see the speed of convergence and forecasting accuracy. In addition, time series data is performed using data without and with the first differencing process. The results of the case study show that the best approach to the NARX model is to use binary dummy variables and data with the first differencing process. On the other hand, the GRPROP algorithm shows the least computation time, the fastest training process steps, and forecasting accuracy with the best MAPE value. Overall, the GRPROP algorithm is the best training algorithm in this case. However, the GRPROP algorithm on the variation of its parameters shows it is not stable. While the RPROP algorithm for parameter variations shows a better speed and stability of convergence than backpropagation and GRPROP. The backpropagation algorithm occasionally outperforms GRPROP on its parameter variations.
Sentiment Analysis Model for Afaan Oromoo Short Message Service Text: A Machine Learning Approach

Thisstudy attempts to design a two-step approach for Afaan Oromoo text sentiment classification model, clustering followed by classification algorithms. A total of 1597 data which is collected from Oromia Broadcasting Corporate (OBN)“8331SMS database”from three domains (i.e. news, entertainment and general service domain) is used to conduct the experiment. First, text preprocessing is undertaken so as to clean data and prepare raw data for further processing. Then, clustering algorithm is used to find natural grouping of the unlabeled Afaan Oromoo text opinion documents. K-means and Gaussian Mixture (GMM) clustering algorithms were tested. GMM performs better and is selected to obtain the specific group of Afaan Oromoo documents. The result obtained from the clustering algorithm is directly exported to a CSV file and prepared for classification tasks. Three supervised learning algorithms, includingNaive Bayes (NB), Support Vector Machine (SVM) and K-Nearest Neighbor (KNN) in each domain are used to classify the sentiment of short Afaan Oromoo text. The result shows that SVM out performs NB and KNN with an accuracy of 91.66%, 93.76% and 92.87% for news, entertainment and general service domain respectively. This is a promising result to design sentiment analysis for comments given in Afaan Oromoo.
Transforming Aviation Training with Augmented and Virtual Reality Using Collaborative Platforms

As with virtual and augmented reality, spatial computing is based on the concept of the twin. We have seen how Virtual and Augmented Reality have started to transform aviation training and now we can optimize real world global training with digital tools such as, spatial computing. In spatial computing training environments, the avatar serves various purposes for virtual training sessions while connecting other digital objects and create virtual worlds. In practice, this means an instructor can present a digital version of an aircraft, aircraft system or flight deck to multiple students in different locations around the world at the same time (WATS, 2020). Students are mirrored as avatars and can walk around the aircraft, learn cockpit procedures, practice two-crew operations with multiple people in the flight deck, examine components up-close, ask questions and share opinions, just as if they were together in a traditional classroom, simulator, or aircraft setting (Brown, 2020a).
What is 'phishing?'

Phishing is a popular scamming method used by bad actors who make fraudulent emails look real.
A Comparison Analysis into Flange Survey Techniques

The surveying industry is a rising at a rapid rate through advancements in technology. Other specific industries such as industrial metrology which were once segregated from surveying are now closely aligned through the form of measurement. The oil and gas industry provides an avenue for both to co-exist given the specifications and tolerances required to undertake highly accurate surveys. Flange surveys require a specialised form of measurement given the intent of the survey is predominantly for design and reverse engineering applications. Current techniques are not familiar in the surveying industry nor the accuracies that can be achieved.In this study, a Leica AT402 laser tracker is used as a baseline reading to survey two existing flanges and a spool fabrication joining them. Two conventional survey methods will then be surveyed with the results then analysed and compared. The two conventional survey methods will be based on a Leica TS15 total station and a Leica HDS7000 laser scanner. The results will be based on three main components for calculation – Flange centreline coordinates, plane inclination and bolt hole rotation. The datasets found that the total station performed better than expected with accurate and consistent results compared to the laser scanner readings and ultimately the baseline readings of the laser tracker. The flange centreline coordinate errors for the total station were submillimetre reading 0.69mm and 0.75mm respectively. The plane inclination and bolt hole rotation results were also similar if not more accurate. The laser scanner results varied between 1mm and 3mm with inconsistent results achieved due to a couple of factors mainly contributed to the manipulation of the point cloud when cleaning and trimming. The laser scanner results provide room for further research to investigate more advanced techniques when working with point clouds.
What Are Triggers and Bindings?

Azure functions are serverless components. They remain in an idle state whenever they are not doing any work. You need to invoke Azure functions so that they can wake up and execute the hosted code. Triggers define how the functions run. You can invoke Azure functions using triggers, and they provide all the necessary input data or the input payload for the function. Your Azure functions need to send or receive data from other resources, such as the storage queue, Blob Storage, RabbitMQ, and many more, to Azure Functions. Bindings enable functions to interact with other services declaratively without needing to write any code.
Kryptonite: An Adversarial Attack Using Regional Focus

With the Rise of Adversarial Machine Learning and increasingly robust adversarial attacks, the security of applications utilizing the power of Machine Learning has been questioned. Over the past few years, applications of Deep Learning using Deep Neural Networks(DNN) in several fields including Medical Diagnosis, Security Systems, Virtual Assistants, etc. have become extremely commonplace, and hence become more exposed and susceptible to attack. In this paper, we present a novel study analyzing the weaknesses in the security of deep learning systems. We propose ‘Kryptonite’, an adversarial attack on images. We explicitly extract the Region of Interest (RoI) for the images and use it to add imperceptible adversarial perturbations to images to fool the DNN. We test our attack on several DNN’s and compare our results with state of the art adversarial attacks like Fast Gradient Sign Method (FGSM), DeepFool (DF), Momentum Iterative Fast Gradient Sign Method (MIFGSM), and Projected Gradient Descent (PGD). The results obtained by us cause a maximum drop in network accuracy while yielding minimum possible perturbation and in considerably less amount of time per sample. We thoroughly evaluate our attack against three adversarial defence techniques and the promising results showcase the efficacy of our attack.
Learning Resources of Bivalves Diversity in the Coastal Intertidal Zone of Biodiversity Materials for the 10th Grade Senior High School: a Literature Study

Utilizing the environment as the learning resource can enhance learning activities, but on biodiversity material, teachers have not been able to apply this system on teaching and learning activities. This study aims to determine the level of diversity of Bivalves in the intertidal zone and to analyze the requirements of learning resources. The type of this study is a literature study, which is designed in a narrative review. The data analysis technique used descriptive analysis.  The results showed that the Bivalve diversity index belonged to different categories, namely low, medium to high. Based on the analysis of the requirements for learning resources for biology, the results of the study have met the requirements as a source for learning Biology in class X on biodiversity material.
Tom Brady fuels Tampa Bay Buccaneers season ticket demand surge

Brady’s presence will provide a major boost in interest for a Buccaneers team that ranked near the bottom of the NFL in attendance.
Research Guides: Digital Publishing House: Publisher Policies

Library Publishing efforts at Wayne State University Policies of the Wayne State University Library Digital Publishing House.
EFEKTIVITAS MEDIA VIDEO TUTORIAL DALAM KETERAMPILAN VOKASIONAL MEMBUAT BUNGA DARI KANTONG PLASTIK KRESEK BERWARNA PUTIH DI SLBN 1 PADANG SIDEMPUAN

This study aims to prove the effectiveness of video tutorial media in making flowers from white crackle bags for deaf children in class X at SLBN Padang Sidempuan. This research is based on the problems found in SLB 1 Padang Sidempuan class X in Tuanrungu which consists of five students, generally deaf children have been taught several skills but the skill of making flowers from plastic bags has never been taught to children. This study uses a type of research, namely the experimental method. The method used to determine whether the media model with video tutorials could be effectively used in making flowers from white plastic bags. The subjects of this study were deaf children in class X at SLBN Padang Sidempuan The results of this study were an increase in children's ability to make flowers from plastic bags after being given treatment using video tutorial media. The results of the comparison of the pretest and posttest percentages showed an increasing ratio of the ability to make flowers from plastic plastic bags for deaf children of class X B at SLB Negeri 1 Padang Sidempuan after being treated using video tutorials. Research with a direct learning model conducted by researchers with the aim of proving that video tutorial media can be effective in flower making skills can be seen by comparing the pre-test and post-test scores and can be proven through the Wilcoxon Sign Rank Test where Zhitung = -2.023b and Asymp. Sig (2-tailed) = .043, meaning Zhitung> Asymp.Sig. (2-tailed) thus Ho is rejected and Ha is accepted.
The Power of Pleasure Reading in Digital Era- An Exhilarating Journey to Promote Success in Learning Environment among Youth

Reading is the most basic of basics. Reading is a tool of acquisitive mind; it is a vehicle for obtaining ideas that cannot be transmitted verbally. The child who reads is a successful child: more likely to succeed academically; more likely to succeed socially; and more likely to be inquisitive about the world around them, may be even to feel empowered to try to change it for the better. Reading for pleasure provide learner the language input they need for further development because through extensive reading learners are constantly exposed to foreign language. Those learners who are always engaged in the target language application and stand a better chance of learning. With the rapid changes in information technology, there is a tremendous change in means of communication. A paradigm shift in information delivery from just information to infotainment has also affected the preferences of the information seekers. Teenagers are a demographic group under transition and they are not untouched by these rapid changes in technology and their impact on their reading preferences. The study shows the reasons for the lack of reading among youth and the importance of recreational reading. The primary scrutiny by the researcher revealed that students have low interest towards reading and the majority of these students do not know how to read, and thus, they are faced with reading challenges. Therefore, the resolution of the study is to determine the overall reading achievement and the importance of recreational reading.
Online Safety as a New Component of Digital Literacy for Young People

Introduction. Digital literacy refers to the skills required to achieve digital competence, the confident and critical use of information and communication technology for le arning, leisure, communication and future work of young people. Digital competence has a dual nature. First of all, it is the technical ability to operate programs, pages, equipment. Secondly, it is also the ability to use digital media safely. Materials and Methods. The paper presents the attempts to measure digital literacy in the area of threats resutling from using the new media in the group of upper-secondary school students (fourth educational cycle). The study was carried out using a diagnostic test with 18 questions. The research was conducted in the group of 1693 youths aged 15–21. The research was designed based on traditional methods of testing knowledge and skills.Results. The findings showed that the weakest digital literacy component was the copyright-related knowledge and the strongest area was online shopping and financial operations. All digital literacy components are interrelated. The improvement in one area leads to the development of other digital literacy elements. Despite this correlation, digital literacy is a heterogeneous concept. There are also differences regarding certain digital literacy components, determined by gender – girls obtained higher test results in terms of the soft competencies whereas boys were better with the technical aspects of digital literacy. Based on the cluster analysis, we noticed that 41.41% of the students obtained good and very good results from the competence test. More than half of the students require further education in most of the analysed areas.Discussion and Conclusion. For educational decision-makers, the findings highlight the importance of designing training programs aimed at developing students’ digital literacies, with a special focus on new topics as sexting, piracy and cyberbullying.
Newark makes HQ2 pitch to Amazon after collapse of NYC deal

Newark was one of the 20 finalists in the year-long contest to host Amazon’s second headquarters.