Reviewerly/exHarmony huggingface dataset:
Create a story map

Laying the foundations for reading is about more than helping children to begin to match and recognise letters. It's all about showing that books are fun, are for sharing and are full of ways to make play more exciting.
Laboratoriumzinnen in het tijdperk van de kwantitatieve taalkunde

Laboratory sentences in the era of quantitative linguistics This paper briefly compares an early (1996) and a later (2010) article that I published in Nederlandse Taalkunde, concentrating on the different methodologies underlying the two papers: A formal theoretical in-depth analysis of one idiolect in the first paper and a large-scale quantitative and theoretical approach in the second. It is argued that the two methods make different contributions and are both necessary to develop a theory of (im-)possible syntactic structures in natural language.
Hybrid Recommendation Algorithm Based on Improved Collaborative Filtering and Bipartite Network

Aiming at the problems of sparse data, low scalability and cold start in collaborative filtering and the problem of poor interpretability in bipartite network, this paper proposes a hybrid recommendation approach that combines collaborative filtering and bipartite network to capitalize on their respective strengths. First, we have optimized the sparseness, scalability, and similarity calculations of collaborative filtering through Weighted Slope One, K-means based on density, and punishing popular items. Then the bipartite network is optimized by weighting and nearest neighbor. Further, by defining an adjustment factor, we merge collaborative filtering and bipartite network to obtain a hybrid recommendation algorithm. Experiment shows the hybrid algorithm is feasible and can improve the accuracy of recommendation effectively.
인공지능 특허의 권리범위 균형을 위한 제언

Artificial intelligence is the key driver of the Fourth Industrial Revolution. Securing AI patent rights is important in order to maintain competitiveness in the space of AI technology amongst different countries. Accepting the criticism that the patent eligibility threshold for computer-implemented inventions has increased and that courts’ application of Alice to software patents is excessively inconsistent and chaotic since Alice, the USPTO issued a ｢2019 Revised Patent Subject Matter Eligibility Guidance｣. The revised guidance is said to have lowered the patent eligibility threshold from a patentee friendly perspective. KIPO has also revised SW-related Patent Examination Guidelines in 2019 to protect innovative technologies for the Fourth Industrial Revolution. Artificial intelligence, however, is often questioned with its overly broad claims as a computer-implemented invention. This may be against the basic aim of patent law that the scope of an inventor’s claim should remain proportional to the inventor’s contribution to technological progress. Thus, to prepare for the future when AI is utilized, we need to find a way to limit overly broad claims while lowering the threshold for the patentability of computer-implemented inventions. At this time, the importance of description requirements for specification at the stage of claim language interpretation as a method of suppressing overly broad claims in AI technology field is emphasized. In addition, it is necessary to introduce the Federal Circuit's interpretation of 35 U.S.C. § 112(f) for computer-implemented functional claim limitations, which requires that functional claim limitation at issue be construed to cover the corresponding structure (algorithms, computers) described in the specification that perform the function, instead of invalidating patent claims including computer-implemented functional limitations entirely to curb overly broad claims.
Locally designed ballot boxes collecting votes across the country

A local company is helping secure the vote through the ballot drop box. LaserFab Inc. in Puyallup makes Vote Armor ballot drop boxes that will be used in a dozen states for the November election.
Setting Up Our Infrastructure

You cannot start writing tests without a deep understanding of how Xcode projects are built and how the testing layer integrates with it.
ACTER (Annotated Corpora for Term Extraction Research) v1.3

The ACTER (Annotated Corpora for Term Extraction Research) is an annotated dataset for term extraction. Terms and Named Entities have been manually annotated in specialised comparable corpora covering 3 languages (English, French, and Dutch), and 4 domains (corruption, dressage, heart failure, and wind energy).
STRATEGIES FOR THE TEACHING OF INFORMATION TECHNOLOGY AND COMPUTER APPLICATION RELEVANT IN PREPAREDNESS FOR TODAY'S WORKFORCE

The study examined strategies for the teaching of information technology and computer application more relevant in preparedness for today's workforce. Three research questions guided the study and one null hypothesis was tested at 0.05 level of significance. Descriptive survey design was adopted for the study. The population of the study co mprised 33 Office Technology Management Education lecturers in the four colleges of education in Delta State. The entire population was studied. Data for the study were collected by means of structured validated questionnaire. Test re - test was used for rel iability test, which yielded coefficient value of 0.83. Mean and standard deviation were used to analyze the research questions while t - test was used to test the hypothesis. Findings revealed that allocation of 3 credit units to information technology and computer application improves content coverage and adequate Information Technology resources, can add relevance to its teaching at very high extent respectively. Hypothesis proved that there was no significant difference in the responses of the respondents on the extent allocation of 3 credit units to information technology and computer application is a strategy for adding relevance to its teaching. Based on the findings, recommendations made include the need for curriculum review that can properly position information technology and computer application as a core OTME course, with 3 credit units and adequate information technology resources should be made available in the right quality and quantity for effective teaching and skills acquisition in OTM E prog ramme
Teaching cloud computing in colleges

As a well-accepted computing paradigm, cloud computing not only impacts how IT professionals administer and manage computing infrastructure, but also changes the way software applications are devel...
Prerequisites for Formation and the Main Stages of Development Eduard Borisovich Abdullin’s Scientific School

The article gives a very concise description of Eduard Borisovich Abdullin’s activity as a recognized leader of the Russian musical and pedagogical community, who considered the main task of his life to improve the system of musical and pedagogical as well as general education in Russia at all levels, without exception. It is shown, that Eduard Borisovich’s path to the pedagogy of music education was like Fate itself. As confirmation, the main historical milestones in his life that contributed to his formation as a musician, teacher, scientist, and founder of the scientific school “Methodology of pedagogy of music education” are revealed. The process of its origin, becoming, formation and further development is traced. It is emphasized that it meets all the criteria that can be attributed to genuine scientific school. Special attention is paid to identifying the specifics of Eduard Borisovich’s scientific school, which consists of: a) a unified research program for improving the methodological training of musicians-teachers in higher educational institutions of the country, b) the implementation of methodological analysis as a scientific tool for research activities of musicians-teachers; c) its three-tier orientation: to perform scientific and educational functions of educating scientists; on creative and constructive activity conducive to the development of the national system of general and music-pedagogical education; on the development of a fundamentally new scientific direction in the pedagogy of music education, which has not only a national but an international character. The data testifying to its international recognition are given.
Nature of errors and mistakes in the English writings of graduating students in Bangladesh: A case study

There is no denying that writing is quite tiresome in both second language teaching and learning situations. And so, selecting an appropriate strategy to provide the learners with necessary feedback in their writings seems to be a complicated task in language pedagogy. The present researchers observe that despite the writing practice of English for about 12 years in Bangladesh, the tertiary students commit mistakes and errors. They, therefore, feel numerous studies should be conducted to find an effective means of feedback for mistakes and errors the students make. Thus, this paper identifies the nature of mistakes and errors in their writings and finds out remedial procedures by means of knowing the factors contributing to the recurrence of these errors and mistakes year after year. To obtain data, some writing samples of paragraphs in groups, business letters, and letters of application have been taken from some undergraduate students of a university, and an opinion survey of teachers with an open-ended questionnaire has also been conducted. The study concludes with some pedagogical recommendations based on relevant concerns.&#x0D; IIUC Studies Vol.15(0) December 2018: 11-22
LibGuides: Modern Language Association (MLA) Guide: Personal Communication and Social Media

A guide to the Modern Language Association of America or the Modern Language Association (MLA), which is the true professional association in the U.S. for scholars of language and literature.
Efficiently Mitigating Classification Bias via Transfer Learning.

Prediction bias in machine learning models refers to unintended model behaviors that discriminate against inputs mentioning or produced by certain groups; for example, hate speech classifiers predict more false positives for neutral text mentioning specific social groups. Mitigating bias for each task or domain is inefficient, as it requires repetitive model training, data annotation (e.g., demographic information), and evaluation. In pursuit of a more accessible solution, we propose the Upstream Bias Mitigation for Downstream Fine-Tuning (UBM) framework, which mitigate one or multiple bias factors in downstream classifiers by transfer learning from an upstream model. In the upstream bias mitigation stage, explanation regularization and adversarial training are applied to mitigate multiple bias factors. In the downstream fine-tuning stage, the classifier layer of the model is re-initialized, and the entire model is fine-tuned to downstream tasks in potentially novel domains without any further bias mitigation. We expect downstream classifiers to be less biased by transfer learning from de-biased upstream models. We conduct extensive experiments varying the similarity between the source and target data, as well as varying the number of dimensions of bias (e.g., discrimination against specific social groups or dialects). Our results indicate the proposed UBM framework can effectively reduce bias in downstream classifiers.
Cloud Computing and Internet of Things: Towards Smart World for Real-Time Applications

In this ubiquitous computing era, everything is connecting to the internet. Data obtained from this is used for various progressive purposes. Internet of Things (IoT) and cloud computing (CC) are two very popular and independent technologies, and features of both can complement each other. IoT has become so pervasive in today's world that it has become difficult to manage the amount of data it generates. IoT does not only suffer from storage but also from various computational and infrastructural dependencies. A new paradigm where we can merge IoT with the cloud is foreseen and is expected to be more and more pervasive. In this chapter, I focus my attention on integration of the cloud and IoT and call it a CloudIoT paradigm, which involves completely new applications, challenges, and research issues. To leverage the practical benefit of CloudIoT, I have included practical implementation of this integration on the IBM CloudIoT platform.
Automata and Fixpoints for Asynchronous Hyperproperties

Hyperproperties have received increasing attention in the last decade due to their importance e.g. for security analyses. Past approaches have focussed on synchronous analyses, i.e. techniques in which different paths are compared lockstepwise. In this paper, we systematically study asynchronous analyses for hyperproperties by introducing both a novel automata model (Alternating Asynchronous Parity Automata) and the temporal fixpoint calculus $\Hmu$, the first fixpoint calculus that can systematically express hyperproperties in an asynchronous manner and at the same time subsumes the existing logic HyperLTL. We show that the expressive power of both models coincides over fixed path assignments. The high expressive power of both models is evidenced by the fact that decision problems of interest are highly undecidable, i.e. not even arithmetical. As a remedy, we propose approximative analyses for both models that also induce natural decidable fragments.
Blockchain-based Smart Energy Trading: Motivations and Challenges

The growing population and high demand of renewable energy leads to a decentralized solution to trade energy smartly. In an innovative energy market, consumers and prosumers are able to trade green energy locally and directly to balance the generation and consumption through decentralized community. In this paper, we present a comprehensive review of existing energy trading systems, their motivations and challenges. For this reason, new ICT technologies are investigated to consider their incredible affections on data transparency, energy trading and how energy consumer and producers are connected intelligently.  The similarities, differences, and challenges in different energy trading projects are identified. The comparison analysis leads us to analyze the future scenario of energy trading that can offer high level of data transparency, low trading cost and less trading time.
NEW PEDAGOGICAL AND INTERACTIVE EDUCATIONAL TECHNOLOGIES: HISTORY AND ESSENCE OF FORMATION

The article covers history, stages of formation and development of pedagogical educational technologies, essence and theory. It outlines approaches of some scientists and domestic scientists from Western countries in the field of pedagogical educational technologies and methodological aspects of interactive educational technologies
VR Museum Experience

Museum Anna Nordlander is a part of Skelleftea Museum and focuses on the artist Anna Nordlander. ˚ The goal of the project was to develop a VR Experience centered around Anna Nordlander and one of ...
Automatic Landmark Placement for Large 3D Facial Image Dataset

Facial landmark placement is a key step in many biomedical and biometrics applications. This paper presents a computational method that efficiently performs automatic 3D facial landmark placement based on training images containing manually placed anthropological facial landmarks. After 3D face registration by an iterative closest point (ICP) technique, a visual analytics approach is taken to generate local geometric patterns for individual landmark points. These individualized local geometric patterns are derived interactively by a user’s initial visual pattern detection. They are used to guide the refinement process for landmark points projected from a template face to achieve accurate landmark placement. Compared to traditional methods, this technique is simple, robust, and does not require a large number of training samples (e.g. in machine learning based methods) or complex 3D image analysis procedures. This technique and the associated software tool are being used in a 3D biometrics project that aims to identify links between human facial phenotypes and their genetic association.
The Concrete Presentations of the “Anomie” of Teachers' Code of Morality in Rural Junior High Schools

“To run education that satisfies the people”, the teacher is the most vital factor. The rural education is recognized as the short slab of education. There are eight concrete presentations of the “anomie” of the teachers’ code of morality in rural junior high schools : the shake of teachers’ ideal and the disappearance of identity; the fading of responsibility and reluctance to communication; negative and down attitudes and serious complacency; inattention to the discipline of school and ignorance to the rules; backward teaching ability and the lack of professional skills; the decline of ethic and unequal treatment to students; undisciplined work style and impertinent word and action; the tendency to personal interest. It is primary and necessary to clarify the problems above, so in this way it could make the “anomie” of teachers’ code of morality in rural junior high schools return to “standardization” and turn to “demonstration”.
Designing Dispenser Isi Ulang (disilang) Based On Interet Of Thing (iot) Using V-model Software Development

Abstract The Internet of Thing (IoT) is a concept in which several objects are connected in a network and communicated to each other. This concept enables the objects to transfer and exchange data without human intervention. Nowadays, this technology has been implemented in various aspects of human life such as industry, agriculture, transportation, etc. Furthermore, this technology able to be integrated with other technology such as cashless based payment technology. This integration seems has great potential in Indonesia if looked at the increasing of transaction volume and nominal each year. Looking at the increasing use of electronic money and as research advances on IoT research, making a cashless-based IoT system is expected to help human life, especially in Indonesia. One of the problems which Indonesia faces is waste problem, especially plastic waste. Indonesia produces 65.2 million tons of waste per year which 10 million of it is came from plastic waste in 2016, as this situation goes, there are many solutions which came up from government or the people like program called â€œOne million tumblerâ€ that initiated by the Ministry of Communication and Information of the Republic of Indonesia. Therefore, for helping this movement to reduce the plastic waste usage and to take advantage of integration between IoT and cashless based payment, an idea comes out to integrate dispenser with IoT. Afterward, in developing this system V-model software development will be carried out for helping the developing process. Keywords: Internet of Thing, Android, User Interface, V-model
The Influence of Perceived College Support and Career Adaptability on Tertiary Students’ Subsequent Job Satisfaction

The purpose of this study aims to examine the effects of perceived college support and career adaptability on the subsequent job satisfaction of tertiary students after they transition from college to work. A total of 8,748 respondents from the 2017 Graduates Occupational Mobility Survey (2016GOMS) provided usable data. An exploratory factor analysis was performed to extract the desirable common factor model of each latent variable: perceived college support, career adaptability, and job satisfaction, and then structural equation modeling (SEM) was employed by testing the path coefficients between latent variables of the hypothesized model. The findings suggested that the model fitted the data well; that perceived college support had a positive influence on career adaptability and job satisfaction; that career adaptability had a positive influence on job satisfaction; and that women showed higher effects of perceived college effect on career adaptability and job satisfaction than men. The results imply that female students are more influenced by college support and make more efforts to enter the contemporary Korean labor market but less satisfied with their jobs than male students.
Human rights: Why Bernard Collaery's case is one of the gravest threats to freedom of expression

After a lengthy delay due to the coronavirus pandemic, the legal case that constitutes the most significant threat to freedom of expression in this country will soon play out in the ACT Supreme Court.
Implementation of Elliptic Curve Cryptographic Algorithmic Approach for Secured Wireless Communication Applications

In this paper an approach for efficient implementation of elliptic cryptographic algorithm is proposed. This approach proves to be better compared to various presently existing cryptographic algorithm implementation methods for next generation secured applications in wireless communications. The main advantage of elliptic curve cryptographic algorithm when compared to other existing algorithms is that it gives equivalent security by using the smaller key size.  This is the major factor behind its use in various multimedia applications and strong recommendation as al alternative security option for 5G and IoT era also.  The simulation results of the implementation of the algorithm are shown mentioning the challenges with the other programming language like MATLAB and Python. The performance of the algorithm can be improved further by using pipelined architecture of the elliptic curve scalar multiplication.
LibGuides: Quick Links: IT Carlow Library's key resources and most popular web pages

Quick links to IT Carlow Library's most popular web pages and online resources Quick links to resources and information
Analysis of a Feature Incremental Learning Method for Sensor-based Activity Recognition

The recognition of day-to-day activities is a major research subject for the monitoring of health and elderly care. Most existing models, though, operate only in static and predefined sensor configurations. It is a significant challenge to adapt an existing activity identification model to the development of new sensors in a dynamic environment to monitor the Health. In this paper, its proposed to increase the performance of an existing model with small figures on newly developed elements, a new incremental method of learning that includes the Incremental Random Forest Function, two important elements, 1) Mutual Diversity Knowledge Strategy (MIDGS) and 2) Incremental Tree Cultivation Mechanism, feature incremental tree growing mechanism (FITGM). MIDGS improves the internal random forest diversity while FITGM improves the exactness of individual decision-making areas. To assess feature incremental random forest (FIRF) performance, extensive experiments performance done for activity recognition on three well-known public data set. Experimental findings suggest that FIRF is much more reliable and effective than the other state-of-the-art methods. This allows new sensors in evolving environments to be controlled dynamically.
A Study on the Cooperation Modes of Higher Vocational Education of China

In the new era of globalization, educational community that transcend the limitations of national interests and regard the common interests as the purpose to promote the win-win cooperation of regional and international became an inevitable requirement. This essay mainly focuses on the characteristics of higher vocational education in China, briefly analyses the current situation of cooperation modes, causes of problems as well as solutions that higher vocational education colleges, industry and government encounter in the development of educational community.
Handle Errors Gracefully

Believe it or not, your PowerShell script isn’t going to work right all the time. It will fail and fail hard sometimes. A novice developer typically doesn’t worry much about error handling. Error handling is one of those topics that separates the novices from the professionals.
Bondage, Impact, Power... and Word Play?: Language Use in Online BDSM Communities

Presented at the 2019 Big 12 LGBTQIA & Allies Summit held in Lubbock, Texas, March 22-24, 2019.