Reviewerly/exHarmony huggingface dataset:
Implementing a Calculator Using Functions

In this chapter we will step through the development of another Python program; this time the program will be to provide a simple calculator which can be used to add, subtract, multiple and divide numbers. The implementation of the calculator is base on the Function Decomposition performed earlier in the book in the Introduction to Structured Analysis chapter.
How to Set Up a WordPress Website: Easy Guide for Beginners

When it is time to set up a WordPress website, there are few things to keep in mind so that things don't go south for you in the long run. So in this article, I'm going to show you how to set up a WordPress website properly, securely, and in less than an hour.
Real time sign language recognition using depth sensor

Communication via gestures is a visual dialect utilised by deaf and hard-of-hearing (HoH) people group. This paper proposed a system for sign language recognition utilising human skeleton data provided from Microsoft's Kinect sensor to recognising sign gestures. The Kinect sensor generates the skeleton of a human body and distinguishes 20 joints in it. The proposed method utilises 11 out of 20 joints and extracts 35 novel features per frame, based on distances, angles and velocity involving upper body joints. Multi-class support vector machine classified the 35 Indian sign gestures in real time with accuracy of 87.6%. The proposed method is robust in cluttered environment and viewpoint variation.
Target Recognition and Classification Techniques

Target recognition is increasingly becoming an important part of radar processing for automotive applications [1]. The reason for this development is that the environment in which the automotive radar operates is highly cluttered which makes it essential to distinguish targets of interest with a high degree of precision.
The adventures of a humanoid robot in a French classroom

A collaboration between St Hilda's Anglican School for Girls in Western Australia and the Faculty of Science and Engineering at Curtin University was established in March 2018 to investigate the benefits of using a humanoid robot in a language classroom. This initiative ran over two terms as a pilot study and trialled a NAO robot in French classes as a teaching resource to increase student's engagement and enhance their learning. The purpose of this article is to share the strategies applied and the results achieved in this pilot study.
Text Visualization Revisited : The State of the Field in 2019

Text and document data visualization is an important research field within information visualization and visual analytics with multiple application domains including digital humanities and social m ...
THE CORRELATION OF THE TENTH GRADE STUDENT’S VOCABULARY MASTERY AND READING COMPREHENSION AT SMA NEGERI 6 TANGERANG

Vocabulary, which consists of the knowledge of meaning as the main component of a language, should be taught together with reading, structure and conversation. This research conducted to know whether there is any correlation between vocabulary mastery and reading comprehension among tenth grade students of SMA Negeri 6 Tangerang. Those students has different background and interest which impact to learning and teaching process especially in reading activity. The sample of this research involving 68 students and carried out quantitatively with tests as instruments and questionare. The result of table correlation shows that the significance is ρcount 0,050 and ρtable 0,77. It means 0,799 &gt; 0,050. It means that the correlation between vocabulary mastery and reading comprehension is positive and not significant. Suitable and appropriate technique, test and method needed.
DMA Support for the Sancus Architecture

Computing devices have a predominant role in our lives, changing most of our daily activities. With the advent of the IoT, more and more embedded devices are expected to be connected, with expected numbers around 20 billion of units for the 2020. Nevertheless, the increase in connectivity does not imply an enhancement of security. Programmable devices, especially connected ones, are at risk of being tampered with: recent history has shown many examples of malicious software attacks compromising their security. Considering that embedded device are required to be cheap in terms of resources - such as chip area, chip complexity, power consumption and performance - they are implemented on low-end microcontrollers, which lack of any memory protection technique, making them unsuitable to implement solutions from the high-end world. Hence, researchers have been recently focusing on strategies to provide them with security guarantees that hold even in case of an attacker with full control on the system, including the Operating System (OS). A promising solution is found in Protected (software) Module Architectures (PMAs): security architectures that can execute protected code in an isolated area of the memory, inaccessible to other software. PMAs can support secure execution of small portion of code, the software modules (SMs), even on devices that are, e.g., malware infected. The target architecture of this thesis is Sancus, an open-source, hardware-only PMA, designed for lightweight embedded devices. The objective of the work is to extend the architecture with Direct Memory Access (DMA) support, a feature that provides peripherals with a secondary channel to access the memory without involving the CPU, and to explore what does it entail from a security prospective. Usually lightweight PMAs do not support DMA, as the benefits coming from its inclusion on the system do not comply with security properties of these architectures: protected memory isolation and confidentiality are no longer guaranteed if a secondary channel, that directly access the memory independently from the CPU, is provided. Main achievements of the thesis are to extend the Sancus 2.0 architecture with DMA support, showing how this affects its security properties and providing a secure way to implement DMA. From the discussion of the upcoming chapters, two solutions stood out: the first one is currently implemented on Sancus, and it consists in entirely excluding DMA from accessing protected memory, preserving SMs security guarantees. The second theoretical solution aims to provide the software modules with DMA functionalities, by allowing some security guarantees for a confined regions inside protected memory. The latter solution is discussed in details and some design options are provided, whereas its implementation is deferred as future work.
Autonomous and Personalized Guide for Tourism Support

The number of mobile applications, available to support the user in his touristic activities, has increased significantly in recent years. Many of these applications present tour events based on the user's location and detailed information about these events. It is important that these applications can offer the user a personalized experience and events that are relevant to him, based on his location, profile, interests, experiences and available time. This work presents an application to support tourism, which allows the user to know about events and routes that include various events/activities, to know which users intend to participate in each event and to interact with other users with interest in the same events. In order to recommend the events to be shown to the user, the application takes into account the interests, user availability and history of the user's activities, which allows a more personalized and contextualized information.
Proposição de atributos para avaliação dos métodos ágeis em universidades públicas da região sudeste do Brasil

Agile software development has become popular in the last decade, and agile principles can be propagated in different ways, creating distinct perceptions of agility. This results in several models for assessing the Agility level. However, evidence of their actual use in practice is limited. This paper proposes a set of attributes for the evaluation of the agile Scrum method in a software development project of a sample of six public universities in the Southeast region of Brazil. The development of software in such institutions is, for the most part, complex and poorly organized, due to the lack of previously defined processes, which hinders the development of software. In this scenario, there are the superintendencies and nuclei of information technology of public universities in the Southeast region of Brazil, where development is supported by a cascade process. A multiple case study was conducted in order to evaluate the implementation of agile methods, more specifically Scrum, in the context of these organizations. For this, the questionnaires were sent through the internet, through Google Form, to each respondent to collect qualitative data regarding the use of IT, Agile Methods and Scrum in their sector, as well as to evaluate Scrum, through the attributes of IT evaluation and Agile / Scrum Methods raised in the literature review. When analyzing the agile Scrum method, a low level of maturity in the use of agile methods was observed in most of the sample universities. It was also noticed a very strong relationship of a group of attributes, which evidenced the perceived benefits in practice of the agile Scrum methodology: improvement of response time, reduction of costs and deadlines, increase in team performance, and increase in value aggregate. Through the closed questions it was observed that the attributes that Scrum obtained the best performance were: communication, collaboration, productivity, and reduction of deadlines.
A Stylistic Reading of the Satirical Import in Selected Punch Newspaper Political Cartoons

Failure to view stylistics as a bridge discipline linking literary criticism and linguistics communication which is fundamental to human development is a disconnect which has negatively imparted the meaning retrieval in cartoons. This is because language goes beyond spoken and written form to encompass; sign, body, grimace, gestures and the other paralinguistic forms of communication. Using the qualitative analytic method and a framework model propounded by Earl Robert Babbie (1998), which holds that systemic functional grammar “is a systematic inquiry to describe, explain, predict and control the observed phenomenon”, the study analyzed two political cartoons of The Punch newspaper selected using the purposive sampling technique. Findings showed that appropriate application of stylistics to cartoons is key to linguistics communication which is fundamental to human development, interaction and co-existence. The study concludes among others that cartoon should be seen as a viable and powerful tool in the dispensation of critical and sensitive message especially where the ills of the ruling power are concerned. Keywords: Cartoons, criticism, linguistics, stylistics and systemic functional grammar. DOI : 10.7176/RHSS/9-14-04 Publication date :July 31 st 2019
세브란스 간호사의 독립운동 : 1919년 독립운동을 중심으로

The purpose of this study was to reveal the names of nurses of Severance who endeavored for Korean independence under Japanese rule and to identify the efforts of each individual. In this study, “nurses of Severance” refers to the probationer nurses, student nurses, and graduate nurses who studied at Severance Nursing School, including those nurses who could not graduate nursing school.The nurses of Severance began their independence movement when they cured soldiers wounded in the protest against the dissolution of the Korean Army who had been brought to Severance Hospital in 1907. In 1919, the March 1st Movement provoked their action again. We could identify the names of 11 nurses of Severance who endeavored for Korean independence. They are Lee A-Joo, Tak Myong-Sook, Lee Jeong-Sook, Park Ok-Shin, Yoon Jin-Soo, Noh Soon-Kyong, Park Deok-Hye, Lee Doh-Shin, Kim Hyo-Soon, Jang Yoon-Hee, and Jeong Jong-Myong.While Korea was under Japanese rule, Lee A-Joo and Tak Myong-Sook participated in the March 1st Mansei demonstration. Tak Myong-Sook also aided Kang Woo-Gyu, who fired a shot at Korean governor Saito in September 1919 before taking refuge. Noh Soon-Kyong, Park Deok-Hye, Lee Doh-Shin, and Kim Hyo-Soon participated in the Hoon-Jeong Dong Jong-Myo (Ancestral Shrine) Mansei demonstration. Jeong Jong-Myong protected fighters for independence who were disguised as patients at Severance Hospital and delivered documents related to the independence movement. Jang Yoon-Hee distributed Fighter for Independence.After the March 1st Movement, Lee Jeong-Sook, Park Ok-Shin, and Yoon Jin-Soo organized and participated in women’s independence societies such as the Hyeolseong Corps Women’s Association, the Korean Patriotic Women’s Society, and the Korean Red Cross. They recruited members of women’s independence societies, organized and extended branches, aided prisoners and their families, and collected funds for the independence movement. Although we can’t identify all their names, many other nurses of Severance also endeavored for Korean independence.One hundred years ago, nurse was one of the most highly educated jobs. Nurses of Severance actively endeavored for Korean independence using their expertise in acquisition and networks of friends during a national crisis situation, Japanese colonial rule. They retained their patriotic spirit for Korean independence throughout the process of arrest, interrogation, and trial. They endured a severe inquisition and poor circumstances in prison. After getting out of prison, they struggled consistently for national development and independence by engaging women’s educational and social activities.
Perancangan Untuk Menentukan Ukuran Baju Berdasarkan Postur Badan Menggunakan Metode Sistem Pakar

In globalizing world, for available sectors finding themselves a place is getting harder economically and commercially. This situation leads them to follow the latest technology to go ahead in common market. One of the latest technologies in textile field is trying on clothes for people in virtual environment. Here the biggest problem is to measuring and determining the size of the body. The aim of this study is to develop decision support system software to determine the most suitable body size. With this study, it is enabled to give easier and quicker result for the expert system.
Web Design Agency, web designers Ann Arbor, MI

We are B+Kreatief, an innovative Web Design Agency based in Ann Arbor, and working with clients throughout North America and Europe.
Shattering-extremal set systems from Sperner families

We say that a set system F⊆2[n] shatters a given set S⊆[n] if 2S={F∩S:F∈F}. The Sauer–Shelah lemma states that in general, a set system F shatters at least |F| sets. We concentrate on the case of equality and call a set system shattering-extremal if it shatters exactly |F| sets. Here we discuss an approach to study these systems using Sperner families and prove some preliminary results based on an earlier algebraic approach.
Choose Your Partners Wisely: Strategic Choices for Embedded Librarians

SLA Embedded Librarians Caucus Conference panel session from the Special Libraries Association 2018 Annual Conference. One of the keys to establishing an embedded librarianship role choosing your partner wisely. Whether introducing the embedded model in their organization for the first time or expanding their relationships, librarians have to ask themselves, Who can I turn to to help start up and establish my embedded librarianship role? and is this the right partner to build a successful relationship with? In this session, successful corporate and academic embedded librarians shared strategies on using political and marketing insights to figure out both where in the organization to concentrate your efforts and which people in your organization you should partner with, so that you can maximize your value and achieve long-lasting success. Moderator: David Shumaker. Panelists: *Nadine Anderson, Behavioral Sciences and Women’s & Gender Studies Librarian, University of Michigan-Dearborn *Barbara Kahn-Aitken, Senior Research Analyst, The Coca-Cola Company *Joel Scheuher, Business Librarian, University of Michigan, Ross School of Business
Advocacy Learning: Learning through Competition and Class-Conditional Representations

We introduce advocacy learning, a novel supervised training scheme for attention-based classification problems. Advocacy learning relies on a framework consisting of two connected networks: 1) $N$ Advocates (one for each class), each of which outputs an argument in the form of an attention map over the input, and 2) a Judge, which predicts the class label based on these arguments. Each Advocate produces a class-conditional representation with the goal of convincing the Judge that the input example belongs to their class, even when the input belongs to a different class. Applied to several different classification tasks, we show that advocacy learning can lead to small improvements in classification accuracy over an identical supervised baseline. Though a series of follow-up experiments, we analyze when and how such class-conditional representations improve discriminative performance. Though somewhat counter-intuitive, a framework in which subnetworks are trained to competitively provide evidence in support of their class shows promise, in many cases performing on par with standard learning approaches. This provides a foundation for further exploration into competition and class-conditional representations in supervised learning.
Integrating Cloud Computing in Education

The emergence of the cloud computing paradigm represents for industry and academia an unprecedented technological innovation in the area of ICT, making it possible to make available a variety of digital services and resources via the Internet with ease and at affordable costs. Higher Education Institutions (IES) view the cloud as an opportunity to modernize their services, but the diversity of architecture and number of cloud service providers has made it difficult for IES to choose the best platform to adopt. On the other hand, the permanent access to broadband Internet, the adequacy of internal IES management processes to cloud business models and security issues, are the main challenges for the integration of cloud computing in education. Since some cloud providers offer free services for educational purposes, this article presents partial results from an empirical study that explores the tools and services of the Google Cloud Platform for education in a b-learning tutorial program.
The Life Hackers

In an effort to keep up with a world of too much, life hackers sometimes risk going too far.The open access edition of this book was made possible by generous funding from the MIT Libraries. Life hackers track and analyze the food they eat, the hours they sleep, the money they spend, and how they're feeling on any given day. They share tips on the most efficient ways to tie shoelaces and load the dishwasher; they employ a tomato-shaped kitchen timer as a time-management tool.They see everything as a system composed of parts that can be decomposed and recomposed, with algorithmic rules that can be understood, optimized, and subverted. In Hacking Life, Joseph Reagle examines these attempts to systematize living and finds that they are the latest in a long series of self-improvement methods. Life hacking, he writes, is self-help for the digital age's creative class.Reagle chronicles the history of life hacking, from Benjamin Franklin's Poor Richard's Almanack through Stephen Covey's 7 Habits of Highly Effective People and Timothy Ferriss's The 4-Hour Workweek. He describes personal outsourcing, polyphasic sleep, the quantified self movement, and hacks for pickup artists. Life hacks can be useful, useless, and sometimes harmful (for example, if you treat others as cogs in your machine). Life hacks have strengths and weaknesses, which are sometimes like two sides of a coin: being efficient is not the same thing as being effective; being precious about minimalism does not mean you are living life unfettered; and compulsively checking your vital signs is its own sort of illness. With Hacking Life, Reagle sheds light on a question even non-hackers ponder: what does it mean to live a good life in the new millennium?
Evolutionary Game Analysis of the Incentive Salary System for University Teachers

In order to research the effect of incentive and non-incentive salary system on the work efficiency of university teachers, in this paper, the evolutionary game model between salary system and the effort of teacher is established by using the evolutionary game theory, and the influence of the change of relevant parameters on the game model is analyzed. The results show that the incentive salary system has a positive impact on the work of university teachers, so the implementation of incentive compensation system can improve and promote the construction of colleges and universities and the cultivation of talents. Finally, some suggestions on how to implement the teacher-motivated compensation system are put forward.
Data Excavation: OCLC Data Reclamation and Catalog Data Inventory at University of Tennessee Libraries

University of Tennessee Libraries migrated their library services platform from Ex Libris Aleph to Ex Libris Alma at the end of 2015. About two and a half years post migration, the Libraries initiated a project with OCLC to perform data reclamation for all UT Libraries. The reclamation project enabled the presenter to ‘excavate’ the catalog data and learned about the data’s history that allowed for semi-inventory and data documentation for our long-term catalog data preservation and management. This presentation will elaborate on catalog data’s assessment, inventory, data’s history and documentation as essential elements for long-term catalog data’ preservation, quality control and management in Alma. The presenter will use UT Libraries’ OCLC Data Reclamation Project as a case study for this purpose.
Few-Shot Meta-Denoising

We study the problem of few-shot learning-based denoising where the training set contains just a handful of clean and noisy samples. A solution to mitigate the small training set issue is to pre-train a denoising model with small training sets containing pairs of clean and synthesized noisy signals, produced from empirical noise priors, and fine-tune on the available small training set. While such transfer learning seems effective, it may not generalize well because of the limited amount of training data. In this work, we propose a new meta-learning training approach for few-shot learning-based denoising problems. Our model is meta-trained using known synthetic noise models, and then fine-tuned with the small training set, with the real noise, as a few-shot learning task. Meta-learning from small training sets of synthetically generated data during meta-training enables us to not only generate an infinite number of training tasks, but also train a model to learn with small training sets -- both advantages have the potential to improve the generalisation of the denoising model. Our approach is empirically shown to produce more accurate denoising results than supervised learning and transfer learning in three denoising evaluations for images and 1-D signals. Interestingly, our study provides strong indications that meta-learning has the potential to become the main learning algorithm for denoising.