Reviewerly/exHarmony huggingface dataset:
The Future of Platform Power: Solving for a Moving Target

The Stanford Working Group on Platform Scale's central proposal was to outsource the moderation of political content from the big platforms—Twitter, Facebook, and Google—to a layer of competitive middleware companies as a means of reducing these platforms' power over political speech. In this exchange on platform power, Robert Faris and Joan Donovan, Nathalie Maréchal, and Dipayan Ghosh and Ramesh Srinivasan all argue in different ways that middleware would not stem the flow of toxic content, and in certain ways might actually intensify it. What three of our critics do not take into account is the illegitimacy of using either public or private power to suppress this hazard. Our working group's promotion of middleware rests on a normative view about the continuing importance of freedom of speech. Middleware is the most politically realistic way forward.
How to Program a Chatbot – An Introductory Project and Student Perceptions

[This Proceedings paper was revised and published in the 2019 issue of the journal Issues in Informing Science and Information Technology, Volume 16] Aim/Purpose: In this article, we introduced a project on teaching chatbot programming in an information systems class. Background: One of the most fascinating developments in computer user interfaces in recent years is the rise of “chatbots”. Yet extent information system (IS) curriculum lacks teaching resources on chatbots programming. To better prepare students for this new technological development and to enhance the IS curriculum, we introduce a project that teaches students how to program simple chatbots, including a transactional chatbot and a conversational chatbot. Methodology: We introduce a project that teaches students how to program two types of simple chatbots, a transactional chatbot and a conversational chatbot. Following the project instructions, students can get their first intelligent chatbots up and running in a few hours using Slack. This article describes the project in detail as well as students’ perceptions. We also conducted a survey to examine students’ perceptions on their learning experience. The survey results are reported as well. Findings: Our survey on students’ perception of the project finds that learning chatbots is deemed very useful because chatbot programming projects have enabled the students to understand the subject better. We also found that social influence has positively motivated the students to learn chatbot programming. Though most of the students have no prior experiences programming chatbots, their self-efficacy towards chatbot programming remained quite high after working through the programming project. Despite the difficult tasks, over 71% of respondents agree to various degrees that chatbot programming is fun. Though most students agree that chatbot programming is not easy to learn, more than 70% of respondents indicated that they will use or learn chatbots in the near future. The overwhelmingly positive responses are impressive given that this is the first time for the students to program and learn chatbots. Future Research: For future work, we plan to expand the teaching resources to cover more advanced chatbot programming projects, such as on how to make chatbot more human-like.
Efficient Diagnostic Process for Technical Vulnerability

With the development of IT came advances and expansions in major information and communications infrastructure, which have in turn resulted in studies being continuously conducted to analyze the administrative and physical vulnerabilities of the operating institutions. However, such institutions are exposed to the threat of cyber attacks because these studies often exclude technical aspects due to technological difficulty. Furthermore, web services limit their security checks to certain vendors and are therefore unable to identify the exact level of security in place. This paper demonstrates that these limitations, when performing a diagnostic test for technical vulnerability, can impact security levels. Therefore, this paper proposes a process that considers several environmental factors when checking for technical vulnerability in order to minimize the impact on security levels.
Administrative, Infrastructure and Finance Related Factors Affecting Private Investment in East Gojjam Zone, Ethiopia

The aims of this study is to examine Administrative, Infrastructure and Finance related factors affecting private investment activities in East Gojjam zone with the intention of providing valuable information about the investment environment of the zone to the potential investors.Descriptive type of research design has been used in this study by giving more emphasis on qualitative data analysis method.The study used bprimary data.Pre-designed selfadministered questionnaire has been used to collect primary data.In order to obtain primary data, a total of 299 questionnaires were distributed to investors found in East Gojjam zone and 294 of them were filled and returned to researchers.The outcome of this study revealed that, the major bottlenecks of investment in East Gojjam zone are Administrative and policy related factors, Infrastructure related factors Macro economic variables which have a nationwide effect, unavailability of foreign exchange reserves and exchange rate fluctuations affects private investment in East Gojjam Zone.
Data Security for Outsourced Cloud Datausing HASBE Scheme and RSA Algorithm

Cloud computing (CC) is the expertise over which every person is capable of sharing the reserves, amenities, and evidence amongst the individuals as a result of harnessing the internet in link. Subsequently, protection is a key concern on the facts pooled by means of the internet. In CC a numerous security issues prone to occur that includes confidentiality, integrity, authentication and/or thin well-honed edit control (TWHEC). In this research an innovative security replica has been aforethought. The design stipulates an approach across which secure communication besides data hiding from unauthorized punters can be got hold of. The security resolved with all categories of CC aspects similar to Platform as a Service (aaS), and Process aaS (PaaS), Software aaS, Storage aaS and Security aaS (SaaS), Network aaS (NaaS), Functions aaS (FaaS), Infrastructure aaS, Information aaS, and Integration aaS (IaaS), Database aaS (DBaaS), Application as a Service aaS and API aaS (AaaS), Management aaS (MaaS), Testing aaS (TaaS), etc., This anticipated system yield thin well-honed, mutable and ascendable statistics editing control by means of the manipulation of complex traits of Hierarchical (Ranked/Ordered) attribute-set-based encryption (HASBE). This multifarious qualities of blend of HASBE and Rivest–Shamir–Adleman (RSA) algorithm too. For instance, cyber individual healthiness record (IHR) aids sick persons to deal with his/her personal medicinal archives into a unified means that is to a great extent vital in storing, editing and partaking of the individual healthiness data. Further down encryption, it is impeding in accomplishing the TWHEC to CIHR data in an ascendable and effectual technique by using HASBE. Prevailing RSA encryption does not endow the data with high security in health. To fulfill ascendable, elastic, and thin well-honed edit control of subcontracted statistics in cloud. In this archetypal instigated a mish-mash RSA encryption with HASBE. Cyber IHR dispenses with patients to get along medical archives in a secure way, in which very significant concerns are the storing, access and distribution of individual wellness information. This composite process is responsible for three mode precautions, i.e. data precautions, certification and corroboration. In this report, the HASBE encryption algorithm has been put forward in realizing TWHEC to IHR data in an ascendable and effectual way
Instructional Programs

Higher Education AbstractsVolume 56, Issue 3 p. 243-249 INSTRUCTIONAL PROGRAMS Instructional Programs First published: 04 October 2021 https://doi.org/10.1111/hea.26_12174Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinked InRedditWechat Volume56, Issue3July 2021Pages 243-249 RelatedInformation
Minimalist parsing

Studies of parsing inspired by the Minimalist Program have various goals. They flesh out and unify proposals in syntax; they define properties of fundamental structure-building mechanisms; and they provide mechanisms for psycholinguistic models. In this brief overview, some historical antecedents are noted, and then foundational perspectives underpinning some recent work in this tradition are outlined, with associated basic results on locality and efficiency. Finally, a comparative guide to some notational differences is presented.
Sign Language and Common Gesture Using CNN

The Deaf, Dumb, and Blind Community and the general public have a true communication difficulty. The advancements made during the automated signing recognition try to break down the communication barrier. Our commitment considers a recognition method based on the Microsoft Kinect, convolutional neural networks (CNNs), and GPU acceleration. CNNs are prepared to automate the procedure of feature construction rather than developing intricate handcrafted features.We have a high level of accuracy in recognizing gestures and sign language. We also created more modules to make communication easier for persons with diverse abilities.This Project Mainlyto help the deaf, dumb and blind community by using this project approach this community can be able to communicate like a normal human being for this have used different modules for that.
Google Translate’s Rendition of Verb-Subject Structures in Arabic News Reports

The present paper attempts to shed light on one of the issues of Arabic-English translation by the Google Translate service. The renditions provided for verb-subject structures in several news reports are compared and contrasted with the originals in order to come up with some rules which could assist in regulating the translation of the basic elements of the Arabic sentence in the above genre. A number of factors are taken into consideration, such as the length of the subject NP and the verb form and function. GT’s rendition of news reports may be improved by introducing certain rules associated with number and articles as well as a limited number of reporting verbs.
ACM's Experiences with Licensing Its Digital Library

The Association for Computing Machinery (ACM) is a nonprofit society with approximately 80,000 individual members from all areas of computing and information technology. ACM publishes annually twenty-seven technical journals, ninety conference proceedings, thirty-five newsletters, and seven magazines. The ACM Digital Library (DL) contains the full-text of everything ACM has ever published, going back to volume 1, number 1, of all journals, magazines, newsletters, proceedings, etc. The ACM DL provides a significant number of functions in addition to the content. ACM’s experience is that acquisitions librarians love the ACM license form but their lawyers do not. Approximately thirty-three percent of our customers use the ACM form; the rest require ACM to sign their own form. Since ACM’s policy is to lose no business due to licensing issues, people invariably incur the cost and effort to accept the customer’s license.
Analog Filter: Concepts

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Analytical Cloud system ERI – a Novel Approach in Energy Medicine

It is well acknowledged that health is a multidimensional concept and is shaped by biological, physical, psychological, social, economic, cultural and political factors. Access to basic needs like food, safe water supply, housing, sanitation and health services
SwiftUI Navigation

We don’t want to just list items usually. We want to allow the user to tap on those items and display details or edit items. Using our Notes app, we want to display details when a list item is tapped.
News Valance of CPEC: Exploring the variables of Treatment, Issue Projection and Image in English Press of China and Pakistan

The image, treatment and Issues projection of CPEC become significant when there are extensive reports appeared in foreign media with the apprehensions from the countries intend to maintain status quo.This study examines the magnitude, treatment and difference of coverage of CPEC in highly circulated English newspapers of China and Pakistan i.e.People's Daily, China Daily, Dawn and The News.The quantitative content analysis technique is employed for this study during March, 2014 to December, 2017.The theoretical foundation of this study is Grunig (1992) model of Public Relations.The findings of the study reveal that the newspapers of both countries are reflecting significant positive image of CPEC.Both newspapers give significance to economic, political and strategic aspects whereas inadequate significance is given to social and legal aspects of this corridor.Moreover, significant difference observed on the treatment of CPEC.However, the Image projected falls in the domains of Press Agentry and Public
Slide Development of Remote Control Camera with Bluetooth Communication

In this paper, we developed a slide imaging system that compensates for tremor when shooting using a camera. It uses a microprocessor to control the stepping motor, and can control slideshows with smartphone apps. We also developed an object tracking method, which is an image processing technique, to automatically capture human motion. It is not easy to obtain a clear image by camera shake when photographing an object with a camera. Some products have recently added camera shake correction function, but products added with such functions are often expensive in price. For these reasons, video equipment sliders are also used by video shooting experts and the general public. However, the conventional products have troublesomeness that people have to move directly. Electric sliders created to solve such inconveniences need to be attached to rails and controlled with buttons, if a motion controller is added. In this thesis, we developed the electric slider that operates with the button using Bluetooth telecommunication of the smartphone so that the position and speed of the slider can be controlled, and in order to reduce the blur, the stepping motor Control.
PENGARUH SELF-EFFICACY DAN MOTIVASI BELAJAR TERHADAP KEMANDIRIAN BELAJAR MATEMATIKA

The study aims to investigate: 1) The effect of self-efficacy on the independene learning of mathematics; 2) The effect of learning motivation on the independene learning of mathematics; 3) The effect of self-efficacy and learning motivation as an aggregate on the independene learning of mathematics. This type of research is a quantitative with an approach ex-post facto. The population in this research is eight grade students of SMP Negeri 1 Musuk. Sampling was done by using purposive sampling is class VIII G SMP Negeri 1 Musuk. The data were collected through a questionnaire and documentation. The hypothesis testing used simple regression analysis and multiple regression analysis. The results of the study are as follows. 1) There is a positive effect and significant of self-efficacy on the independene learning of mathematics, indicated by a correlation coefficient value of 0.770, a determination coefficient value 0,593 and tvalue ttable of (6,6062,042); 2) There is a positive effect and significant of learning motivation on the independene learning of mathematics, indicated by a correlation coefficient value of 0,852, a determination coefficient value 0,727 and tvalue ttable of (8,9282,042); 3) There is a positive effect and significant of self-efficacy and learning motivation on the independene learning of mathematics, indicated by a correlation coefficient value of 0,873, a determination coefficient value 0,762 and Fvalue Ftable of (8,9282,042).
Combining of Transfer Learning with Faster-RCNN For Aedes Aegyti Larvae Detection

The dengue epidemiology episode has become one of the global phenomena especially the rain forest countries including Malaysia. Environmental management, the used of chemical and biological environment are control strategies that has been proposed and practiced by World Health Organization. However, based on statistic al of dengue cases, there is still no concrete solution in curbing this problem especially at non-accessible places. This paper proposed a study on detection Aedes Aegypti larvae in water storage tank by combining transfer learning with Faster-RCNN. The purpose of the study is to acquire train and validation losses along with detection performance metrics. The experimental results disclose that the probability detection has scored 97.01% while false alarm has scored 5.97%. Those significant value has depicted that the trained model has high detection accuracies.
EMI Signal Classification Based on Improved HHT and CNN

This paper proposes a new single channel EMI signal classification method.In this method, we propose to use an improved HHT algorithm, BEMD algorithm and HT algorithm, to convert nonlinear and non-steady-state single-channel electromagnetic interference signals into time-frequency domain matrices, which solves the problem of traditional EMD algorithms.After that, we use the time-frequency domain matrix as the input of the CNN to classify the EMI signals.By the simulation signal experiment and EEG signal experiment verification, the proposed algorithm has a good classification effect.
Hacking Trust

Although viewers of the USA Network series Mr. Robot may associate the term “hack” with unauthorized access to and disruption of computer services – the so-called 5/9 hack that brought down E-Corp. – in Silicon Valley parlance, a hack also has a much rosier meaning: a hack in the Bay Area is a solution to a problem. Techies routinely hold hackathons in which they put their computer programming skills to work to solve discrete problems. When we say that Uber has “hacked” trust, we mean it in this way. It has figured out a way, using software code, the internet, and human ingenuity, to solve the problem of trust in an elegant way. And Uber is only the beginning.
A Reversible High-Capacity Data Hide System Based on Powerful MSB Prediction in Encrypted Images

For encrypted images (RDHEI) reversible data shielding is an important technique for embedding data into the encrypted domain. A hidden key encrypts an original picture, and additional information may be inserted into the encrypted image during or after transmission without knowing the crypting key or the original contents of the picture. The hidden message can be retrieved during the decoding process and the original image can be restored. RDHEI has begun to generate academic attention over the past couple of years. Data privacy has become a real issue with the growth of cloud computing. None of the current methods, however, will allow us to hide a great deal of information reversibly. In this document we propose a new reversible approach with a very high capacity based on MSB (most important bit) forecasting. We present two approaches: a reversible high-capacity data hiding approach with a prediction-correction error (CPEHCRDH) and an integrated-prediction error (EPE-HCRDH) reversible data hiding approach. With this approach, our findings are better than those achieved with the existing state-of-the-art approaches, both in terms of image quality recovered and embedding efficiency.
Collaborative Filter Based Product Recommendation System using Machine Learning KNN and Cosine Similarity over Twitter by Big Data vide Ontology

Virtually all companies today are existentially dependent on escalating World Wide Web users are the reason by which data is in immense progression.The flow in information is a new dilemma for E-commerce supervisors of their products and services that are trepidation to be indistinguishable to clientele or users.The perfect step that can be in use is by employing a recommendation system.The recommendation system can display objects that are significant to the user.The recommendation system also needs to be seen.If seen from the problem of E-commerce that wants to display relevant products for customers, one method that can be applied is Content-Based combined with Collaborative Filtering, because the aspects that make these products recommended are not only based on the similarity of content but also based on user activity like giving a rating, seeing a product to buying it.However, this scheme is successfully achieved the accuracy of 81.11% percent which depicts that the same can be used for recommendations for E-Commerce products.
Smart Cameras in Embedded Systems

A smart camera performs real-time analysis to recognize scenic elements. Smart cameras are useful in a variety of scenarios: surveillance, medicine, etc. We have built a real-time system for recognizing gestures. Our smart camera uses novel algorithms to recognize gestures based on low-level analysis of body parts as well as hidden Markov models for the moves that comprise the gestures. These algorithms run on a Tri media processor. Our system cans recognize gestures at the rate of 20 frames /second. The camera can also fuse the results of multiple cameras. The smart camera – a whole vision system contained in one neat housing can be used anywhere, in any industry where image processing can be applied. Companies no longer need a cabinet in which to keep all their computing equipment: the computer is housed within the smart camera. In the pharmaceutical industry and in clean rooms – when not even dust is allowed – this can be a big advantage. A single square meter of space can be comparatively very expensive if there is no need for a component rack or cabinet, simply a smart camera, and then this could save a lot of money.