Reviewerly/exHarmony huggingface dataset:
Reservoir stack machines

Memory-augmented neural networks equip a recurrent neural network with an explicit memory to support tasks that require information storage without interference over long times. A key motivation for such research is to perform classic computation tasks, such as parsing. However, memory-augmented neural networks are notoriously hard to train, requiring many backpropagation epochs and a lot of data. In this paper, we introduce the reservoir stack machine, a model which can provably recognize all deterministic context-free languages and circumvents the training problem by training only the output layer of a recurrent net and employing auxiliary information during training about the desired interaction with a stack. In our experiments, we validate the reservoir stack machine against deep and shallow networks from the literature on three benchmark tasks for Neural Turing machines and six deterministic context-free languages. Our results show that the reservoir stack machine achieves zero error, even on test sequences longer than the training data, requiring only a few seconds of training time and 100 training sequences.
Detection and quantification of bolt loosening using RGB-D camera and Mask R-CNN

Bolt loosening is one of the most common types of damage for bolt-connected plates. Existing vision techniques detect bolt loosening based on the measurement of bolt rotation or the exposure of bolt threads. However, these techniques examine bolt tightness only in a qualitative manner, or require a reference measurement at the initially tightened state of the bolt for quantitative estimation. In this study, the exposed shank length of a bolt is quantitatively measured using an RGB-depth camera and a mask-region-based convolutional neural network but without requiring any measurement from the initial state of the bolt. The performance of the proposed technique is validated by conducting lab-scale experiments, in which the angle and distance of the camera are varied with respect to a target inspection area. The proposed technique successfully detects bolt loosening at exposed shank length over 3 mm with a resolution of 1 mm and 97% accuracy at different camera angles (40°–90°) and distances (up to 65 cm).
METODE PENGAJARAN UNTUK MEMINIMALKAN KESALAHAN DALAM PENULISAN HURUF “HAN”

Han characters are one of the most important elements in Mandarin and they are also one of the commonly used characters in the world. Han characters are also one of the oldest characters in the world. It is started out as pictures, and then simplified into the Han character that is used and learned nowadays. There are many Han characters that are similar. These similarities often cause mistakes in the students’ writings. Therefore, the writer is interested in conducting a research to find out the best teaching method to minimize the mistakes created by BBC Students (2007-2010) of Bunda Mulia University. Data collection is gained from quesionnaire, observation (assignment), library research, experimental research.
TEACHER’S DISCOURSE MARKERS IN ENGLISH CLASSROOM INTERACTION

This study deals with discourse markers used by teacher in  English  classroom interaction. The objectives of this study were to find out the  types of discourse markers which were dominantly used by teacher and the reasons for the existences of that dominant one. The subject of this research was an English teacher of SMP Swasta Pahlawan Nasional Medan. A descriptive qualitative design was used in this study. The data were collected by observing, recording the utterances of teacher and by interviewing the subject. The data were analyzed based on Fung and Carter’s theory (2007). The result of the data showed that there were four types of teacher’s discourse markers in English classroom interaction i.e. interpersonal, referential, structural and cognitive. Interpersonal were the most dominantly used by the English teacher with 38,94%, referential 25,26%, structural  30,52% and cognitive 5,26%. The reasons why the teacher used interpersonal markers as the dominant one were affected by the presage category (teacher’s belief) and context category (the class in which the teaching process took place). Related suggestions were given to the English teacher to use the appropriate discourse markers in English classroom interaction. This study was beneficial for both teacher and students in English classroom interaction. Keywords:  Discourse Markers, Teacher’s Talk, Classroom Interaction
ROLE EVALUATION OF OPEN-SOURCE CONTENT MANAGEMENT SYSTEM IN WEBSITE

In the modern age of web 2.0 and 3.0, large number of websites are driven by CMS(Content Management System) which not only manage the text and multimedia content but also valuable information about a website structure and content. CMS is most important tool for Open-SourceSoftware. Open-SourceContent Management System is most popular tool evaluating website. This paper discusses more different important criteria to choose right Open-SourceContent Management System.Here four different Open-Source CMS evaluated are:1. Word press2. Joomla3. Drupal and4. PloneThese CMS are very suitable for basic website which contains intermediate functionality.Whereas Drupal, and Plone are suitable for Complex Site Management and provides more multiuser platform.
EDUBOT: AUTOMATION OF PYTHON TUTORIAL WITHVOICE INPUT AND OUTPUT

Now a day so many activities are done by chat bots and it is helpful to minimize the users work load.Chat bots are one of the most well-known examples of artificial intelligence. A chat bot is used for chatting purposeand it is a computer program that is used to interact with humans to answer their queries and full fill their needs. Thedevelopment of chat bot has become popular as many traditional chat bots are one of the most replaced withconversational chat bot. There are less chat bots based on educational field and less chat bot based on theprogramming language. There are so many people who want to know or learn about programming language and it isvery helpful to gain knowledge to learners. The aim of this paper is to develop educational chatbot which helps users tolearn python programming language and it has all the information about python and its coding. It is helpful for all typesof learners and increases the educational standards and it is very effective to interact with any field of the technology.This educational Chat-bot named Edubot could effectively answer study related queries to the learners with an addedadvantage that it is voice to voice chatbot. Since it is a voice to voice chatbot, it is very useful for visuallychallenged people to learn the python programming language by interacting with this Edubot. The speciality of thisprocess is using Speech to Text to capture the user's voice, and lastly Text to Speech is used to playback the chat botsresponse to the user in voice. The striking feature of this Edubot is that, it particularly concentrates on the pythonprogramming language that the user can raise their queries by their voice and it will give the answer both by voiceand as text. In this chat bot Natural Language Tool Kit (NLTK) is used to train the data and Natural LanguageProcessing (NLP) is used to recognize the human language.
Hybrid Fireworks Algorithm with Dynamic Coefficients and Improved Differential Evolution

Fireworks Algorithm (FWA) is a new heuristic swarm intelligent algorithm inspired by the natural phenomenon of the fireworks explosion. Though it is an effective algorithm for solving optimization problems, FWA has a slow convergence rate and less information sharing between individuals. In this paper, we improve the FWA. Firstly, explosion operator and explosion amplitude are analyzed in detail. The coefficient of explosion amplitude and explosion operator change dynamically with iteration to balance the exploitation and exploration. The convergence performance of FWA is improved. Secondly, differential evolution and commensal learning (CDE) significantly increase the information sharing between individuals, and the diversity of fireworks is enhanced. Comprehensive experiment and comparison with CDE, FWA, and VACUFWA for the 13 benchmark functions show that the improved algorithm was highly competitive.
Save $1.00 – Beneful Dry Dog Food Printable Coupon

Save $[acf field=amount] off with [acf field=product] Coupons! This delicious wet dog food is made with real lamb and finely chopped ingredients you ...
Exploration and Practice on Online and Offline Blended Teaching of Japanese under Spoc Mode

In the post epidemic era, online and offline blended teaching is imperative. Based on the choice of teaching mode and the practice of “SPOC + Fanya teaching platform + classroom teaching”, this paper discusses the feasibility of online and offline blended teaching in Japanese teaching, hoping to provide a possibility and a new perspective for Japanese teaching.
Understanding Requirement Analysis Phase

Planning helps one in knowing what one will have to perform to achieve its goals. In software engineering to start with project development, the first phase is all about planning, understanding and blueprinting the thoughts considering every aspect of the project development. It's easy to define things but behind the scene in the requirement phase, different teams play a key role in planning and blueprinting the thought. Understanding the responsibilities of each team is important that will directly coup up the project development phase. Here, we will study practical approaches and roles, responsibilities of each team behind the scene.
LibGuides: Summer Reading .... In Person AND Virtually 2021: Home

So you find yourself unable to hold your traditional summer reading program. Here are some ideas that you can use
Evaluating artificial short message service campaigns through rule based multi-instance multi-label classification

Marketers need new ways of generating campaigns artificially for their marketing activities. Many marketers assume proprietary systems are individualized enough. This article investigates an order ...
Analysis of Implementation and Cloud Based ERP Implementation (Case Study of PT. Hologram Indonesia Kreatif)

The development of increasingly sophisticated technology enables companies to take advantage of these technologies to compete by increasing the efficiency and effectiveness of the company. One technology that can improve this is ERP, which now consists of on premise and cloud based. One company that uses cloud based ERP named Apptivo, is PT. Hologram Indonesia Kreatif, where they aim to improve the performance of the sales marketing department, as well as finance. However, in its implementation, there are several obstacles. Using qualitative methods namely study cases and data collection with in-depth interviews, the authors found that there are three factors that play a role in these constraints, namely characteristics of individuals, characteristics of organizations and, characteristics of technology. In order to maximize the use of Apptivo, it can be suggested for companies that PT. Hologram Indonesia Kreatif can conduct training both in terms of business process or technical. In addition, companies can do roleplaying to familiarize users with Apptivo, as well as create a user guide or a kind of manual, for old or new users to read.
DESAIN APLIKASI SMS GATEWAY SEBAGAI SISTEM LAYANAN MENERAPKAN METODE STORE AND FORWARD PADA PT. FASTRONIC MAKMUR SENTOSA SEMARANG

PT Fastronic Makmur Sentosa (FMS) is an Authorized Dealer Smartfren which distributes products from Smartfren, like Staterpack prime, vouchers, modems and handsets doungle bandling. SMS Gateway application as a service functioned to integrate systems between customers with automated information systems, the customer service with the administration in order to obtain valid information. Customers can order products and access information easily via SMS without having to come directly to the PT. FMS information regarding pricing, promotion information, product specifications and ordering products for customers who are already registered. SMS Gateway application can also help customer service in its duty to serve customers with data that is clear and ter updates can be seen in the administration module. With the SMS Gateway Application to deliver information more quickly when customers need information, generate reports on the stock with a clear to the administration
Chatbots For Customer Support

Customer service is probably one of the most critical elements of the user experience. With the advancement of natural language processing techniques, the industry is looking into automated chatbot technologies to deliver high-quality service to an ever-growing user base. This paper provides a case study of such chatbot strategies. The implementation of chatbots and virtual assistants is discussed in this article. An introduction to the area of chatbots is given, as well as a quick overview of previous and existing methods used to create chatbots. The theory underlying the methods used is then presented. Deep learning methods, such as gated recurrent unit neural networks, are primarily covered. Following that, a checklist of issues resolved, basic characteristics, method of communication, services provided, accuracy, technology providers of virtual assistants is also written down.
SURVEY ON LUNG CANCER DETECTION USING CONVOLUTIONAL NEURAL NETWORKS

The deaths caused by cancer are increasing day by day one of the major reasons is lung cancer. Detecting lung cancer at the initial stages greatly lessens the number of patients who die and dramatically increases the likelihood that the patient will be saved. This paper aims to classify malignant and non-malignant development in the lung using the Convolutional Neural Network (CNN) algorithm. As a progressively mechanized methodology, the CNN technique uses picture information as input information and can be straightforwardly classified as yield. The machine will detect the image of the lung nodule participant in characteristics with various targets and dimensions when observing the disruption in the standard representation of the lung nodule due to its radiological complexity and fluctuation of sizes and shapes, thereby doing the constructive side of the classification function and enhancing the precision of classification steps. Many different methods of detecting lung cancer nodules exist but we will be focusing on Convolutional neural networks that utilize deep learning techniques.
LibGuides: Middle Grades Book Genres- Popular: Fantasy

This is a guide to the popular middle grade book genres for teachers, staff, students, and parents
Research Guides: MUS 234: Harmony & Form IV: Home

A guide for students in Dr. Stanziano's MUS 234 class composing in a particular musical style.
Nanoparticle Association: In Vivo Quantification of Nanoparticle Association with Immune Cell Subsets in Blood (Adv. Healthcare Mater. 9/2021)

The clearance of nanoparticles in vivo is mediated by circulating white blood cells. In article number 2002160, Angus P. R. Johnston and co-workers develop an assay that quantifies the in vivo interactions of nanoparticles with different subsets of circulating white blood cells, which shows significant differences to the association observed between nanoparticles and white blood cells ex vivo. The cover image shows an artistic representation of blue nanoparticles binding to white blood cells in a capillary.
ASSESS THE GAMELAN APPEAL MADE OF STEEL, TIN BRONZE, SILICONE BRONZE TO THE RESULT OF LONG SOUND (RESONANCE) AND SOUND INTENSITY (DECIBEL)

This study aims to determine the effect of material differences in the composition of gamelan materials to acoustic properties of long sound results (resonance) and the intensity of sound (decibels). Steel, bronze tin white and silicone bronze are the material studied in Javanese gamelan gong kempul barrel 5 slendro. Making gamelan using sandcasting casting process. Then do the process of forging to get the form of the gamelan made. Gamelan is then tested by using Neundo software and some tools are: software, condenser microphone, audio interface and cable. The results of this study show the longest resonance in silicone bronze gamelan with an average sound duration of 15.4 seconds, gamelan bronze white tin material with a sound duration of 7.4 seconds and gamelan iron material with a duration of 6.6 seconds. The sound intensity resulting from the silicon bronze gamelan has a gain value of -23.34 dB. While in gamelan of white tin bronze material equal to -21,68 dB and gamelan of iron material has gain value equal to -17,96 dB. With the tests performed then the results obtained differences and increase the quality of resonance and sound intensity
LibGuides: Research Data Management: Data Protection Law

A guide to managing outputs of research projects and handling issues such as copyright and data protection laws
Failed catalytic converter theft ends with double stabbing, suspect held on $500K bail

A pair of brothers stabbed early Tuesday morning in Kitsap County were released from the hospital. Sheriff’s deputies say they were attacked trying to stop a stranger from stealing a catalytic converter from a cargo van parked outside their family’s tire garage.
To be Masked or to be Image; the Presence Dilemma in the COVID-19 Pandemic

When we talk about presence, we imagine an in-person, full attention, and whole-hearted communication. Presence illustrates shared space-time, attuned minds, and synchronized bodies. Nevertheless, what can we imagine about the experience of presence in a virtual communication? Do different places and times impede the presence experience? Is it possible to have attunement and synchronization with others in a virtual space?...
Artificial Intelligence, the Law-Machine Interface, and Fair Use Automation

From IBM Watson's success in Jeopardy! to Google DeepMind's victories in Go, the past decade has seen artificial intelligence advancing in leaps and bounds. Such advances have captured the attention of not only computer experts and academic commentators but also policymakers, the mass media and the public at large. In recent years, legal scholars have also actively explored how artificial intelligence will impact the law. Such exploration has resulted in a fast-growing body of scholarship.One area that has not received sufficient policy and scholarly attention concerns the law-machine interface in a hybrid environment in which both humans and intelligent machines will make legal decisions at the same time. To fill this void, the present article utilizes the case study of fair use automation to explore how legal standards can be automated and what this specific case study can teach us about the law-machine interface. Although this article focuses on an example generated from a specialized area of the law—namely, copyright or intellectual property law—its insights will apply to other situations involving the interplay of artificial intelligence and the law.The article begins by outlining the case study of fair use automation and examining three dominant arguments against such automation. Taking seriously the benefits provided by artificial intelligence, machine learning and big data analytics, this article then identifies three distinct pathways for legal automation: translation, approximation and self-determination. The second half of the article turns to key questions concerning the law-machine interface, the understanding of which will be important when automated systems are being designed to implement legal standards. Specifically, these questions focus on the allocation of decision-making power, the hierarchy of decisions and the legal effects of machine-made decisions. The article concludes by highlighting the wide-ranging ramifications of artificial intelligence for the law, the legislature, the bench, the bar and academe.
Usability Diverges, Media Converges, Design Remerges

I gave my fourth World Usability Day (WUD) talk a few months ago in Estonia (the talk may have been at WUD 2019’s largest event). The WUD 2019 theme was for the Future We Want. That would have worked well for a design conference, which could also have focused on communicating “the value of design” and educating “the entire organization on good design and what it takes to get there.” However, these two quotes are not from a design source, but from the overview for a UIE workshop: Lead your organization to deliver better-designed products and services through a custom UX strategy. To further illustrate how the usability field is diverging beyond UX into design, in the last six months, The Nielsen Norman Group has posted articles and videos on Design Ops, Design Thinking, Paper Prototyping, Customer Experience, Service Design, Service Blueprinting, Scenario Mapping, UX Work in Agile Backlogs, UX Debt, and Tracking (design) Assumptions. Why is there still a U in WUD and JUS? It’s like a garden center called Tulips R Us with tulips on just one stand in a sea of greenhouses, greengages, green willow, and more. Usability has diverged, renaming itself to UX in many contexts, with an increasing focus on design. It wasn’t always like this. Designers and their cool designs have been repeatedly in UX crosshairs.
LibGuides: Evaluating Sources with the DAPPR Test: Relevancy

This guide helps you learn how to evaluate your sources by using a tool called the DAPPR Test.
Practical parallel self-testing of Bell states via magic rectangles

Self-testing is a method to verify that one has a particular quantum state from purely classical statistics. For practical applications, such as device-independent delegated verifiable quantum computation, it is crucial that one self-tests multiple Bell states in parallel while keeping the quantum capabilities required of one side to a minimum. In this work, we use the $3\ifmmode\times\else\texttimes\fi{}n$ magic rectangle games (generalizations of the magic square game) to obtain a self-test for $n$ Bell states where the one side needs only to measure single-qubit Pauli observables. The protocol requires small input sizes [constant for Alice and $O({log}_{2}n)$ bits for Bob] and is robust with robustness $O({n}^{5/2}\sqrt{\ensuremath{\varepsilon}})$, where $\ensuremath{\varepsilon}$ is the closeness of the ideal (perfect) correlations to those observed. To achieve the desired self-test, we introduce a one-side-local quantum strategy for the magic square game that wins with certainty, we generalize this strategy to the family of $3\ifmmode\times\else\texttimes\fi{}n$ magic rectangle games, and we supplement these nonlocal games with extra check rounds (of single and pairs of observables).