Reviewerly/exHarmony huggingface dataset:
Digitalizing Coursebooks? Why Not

As a matter of fact, in today digital era, the advancement of ICT (Information and Communication Technology) has shifted teaching-learning paradigm rapidly. The objective of the research is to develop a digital vocabulary coursebook ( buku ajar ) for Students of English language education department which can be applied on the smartphone. It is digitalized by using Adobe Flash CS6 Professional software with APK format. The smartphone that supports the application is android version 1.5 (cupcake) or above. The researchers design an educational R&D research approach aimed at developing educational products, like curriculum, syllabus, textbooks, instructional media, etc. The subject of this research is the second semester of English language education department students of STKIP PGRI Trenggalek 2018/2019 academic year. The instruments used in this research are a questionnaire, interview, and observation. Those instruments of the data were analyzed in two different ways. The data collected by questionnaire was analyzed quantitatively, and data collected by observation and interview were analyzed qualitatively. Research findings show that the developed product which was based on students’ needs, the recent theory of vocabulary, R&D, digitalizing and vocabulary coursebook which was also developed in five steps development resulted good responses from students in TLP of vocabulary subject in English language Education department. Mostly students agree that the digital book applied on their smart phone is indispensable necessity for today TLP which they may access it anywhere and anytime with ease. Besides, the product once also proves that digital material is more motivating, engaging and fun than the conventional one.
LibGuides: Reading: Be a Subject Ninja

Dr. Stoutmorrill's Campus Innovation Project for the Kellogg Institute Content Reading by Subject
Teng-Yue algorithm

This contribution is about a novel swarm search algorithm designed to enhance the feature selection (FS) performance in building an incremental Bayesian network (IBN) for efficient cancer data classification. IBN has the advantage of finding out casualty relation between the variable and offering reasonable prediction accuracy, both are in demand for medical data analysis (MDA). FS is challenging in this scenario because the choice of the feature subset would have to satisfy both objectives of accuracy and generalization for the IBN. An extensive simulation experiment was carried comparing one dozen of swarm-based FS methods by different contemporary metaheuristics. In particular, a new search method called Teng-Yue Algorithm (TYA) which means motions of "gallop" and "leap" is formulated that mimic no living creation but just the two fundamental dynamics of local intensification and global exploration in the very original metaheuristic search design. It was observed from the experimental results that TYA outperformed all other metaheuristics by pairing with correlation-based feature subset selection and IBN, with a careful tuning on the balance of the local and global searching efforts distribution. The result is encouraging as TYA is relatively simple and able to empower fast and accuracy BN inference that MDA may leverage.
ESTIMATION OF THE MATHEMATICAL MODEL OF THE DC MOTOR COUPLED WITH A REACTION WHEEL BASED ON THE GENETIC ALGORITHM

In this paper, it was proposed the experimental identification of the mathematical model of the DC motor, coupled with a reaction wheel. It was proposed to approximate the experimental curve with the mathematical model of order 2 inertia, identified by Genetic Algorithm. To estimate the mathematical model of the control object it was proposed to use the Genetic Algorithm method, the results obtained were compared with the Strejc methods and the results obtained using the Process Models module from System Identification Toolbox from MATLAB.
Active Local Learning

In this work we consider active local learning: given a query point $x$, and active access to an unlabeled training set $S$, output the prediction $h(x)$ of a near-optimal $h \in H$ using significantly fewer labels than would be needed to actually learn $h$ fully. In particular, the number of label queries should be independent of the complexity of $H$, and the function $h$ should be well-defined, independent of $x$. This immediately also implies an algorithm for distance estimation: estimating the value $opt(H)$ from many fewer labels than needed to actually learn a near-optimal $h \in H$, by running local learning on a few random query points and computing the average error. For the hypothesis class consisting of functions supported on the interval $[0,1]$ with Lipschitz constant bounded by $L$, we present an algorithm that makes $O(({1 / \epsilon^6}) \log(1/\epsilon))$ label queries from an unlabeled pool of $O(({L / \epsilon^4})\log(1/\epsilon))$ samples. It estimates the distance to the best hypothesis in the class to an additive error of $\epsilon$ for an arbitrary underlying distribution. We further generalize our algorithm to more than one dimensions. We emphasize that the number of labels used is independent of the complexity of the hypothesis class which depends on $L$. Furthermore, we give an algorithm to locally estimate the values of a near-optimal function at a few query points of interest with number of labels independent of $L$. We also consider the related problem of approximating the minimum error that can be achieved by the Nadaraya-Watson estimator under a linear diagonal transformation with eigenvalues coming from a small range. For a $d$-dimensional pointset of size $N$, our algorithm achieves an additive approximation of $\epsilon$, makes $\tilde{O}({d}/{\epsilon^2})$ queries and runs in $\tilde{O}({d^2}/{\epsilon^{d+4}}+{dN}/{\epsilon^2})$ time.
Improving the Meta-Grip: Redesigning for unsupervised use

The Meta-Grip is a tool for climbers to measure hand and finger strength. A climber uses the Meta-Grip by hanging on either a sloper or crimp. The Meta-Grip measures the force through a load cell and transfers the data to a computer where the data can be viewed and analyzed. The current Meta-Grip is built for research. Because of this, the current Meta-Grip cannot be used unsupervised, the embodiment needs improvements and the price of 2520 euros for the costs is too high for the intended market. The current Meta- Grip can only do measurements, an addition to its functionalities would be the ability to also train on the Meta-Grip. This let to the following goal for redesigning the Meta-Grip: “Redesign the Meta-Grip in such a way that it becomes an affordable and recognizable tool that measures finger and hand strength and provides immediate and understandable feedback to the climber, that can be used unsupervised by climbers and is an addition to the currently available training tools.“. To redesign the Meta-Grip, the design process is structured in four phases: analysis, ideation, concept design and final validation. The following methods were used: literature research, online market research, online surveys, sketching, prototyping, user testing, hosting creative sessions and expert interviews. The redesigned Meta-Grip is a product-service system. The Meta-Grip, made for fanatic climbers, has a range in holds that differ in type and difficulty. Holds are available in alder wood for skin friendliness or polyurethane coated with quartz sand for high friction, to the user’s discretion. With two load cells and a Bluetooth module , a connection can be established to the mobile phone application of the Meta-Grip. This application, the service, is used to execute measurements, follow exercises and training plans and determine climbing goals. A button on the Meta-Grip allows users to turn the Meta-Grip on and connect the Meta-Grip via Bluetooth to the application on their phone. To instruct the user on how to use the Meta-Grip before the Bluetooth connection is available, instructions are placed on the left side of the Meta-Grip. The system is powered by a 9V battery. The installation of the Meta-Grip is made such that it will fit any normal climbing gym with two M10 bolts. This research has shown the potential of a redesigned Meta-Grip. Through the application, the Meta-Grip can be used unsupervised and changing the design has made the Meta-Grip more versatile and recognizable for climbers. The cost price is estimate at 120 euros, making it a large price reduction. The next step is to further elaborate the concept and all parts of the product-service system to make it ready for launching the Meta-Grip to the market.
CREATIVITY OF THE FUTURE TEACHER

This article discusses the motives of personal self-expression in relation to the needs of a future teacher to express themselves in various forms of creative activity, a hidden and relevant description of the whole person in highlighting the concept of “creative potential”, career development, creativity and creativity. The presence of approaches, among which the main areas of research are discussed.
Comparative Analysis ofEncryption Algorithms AgainstText Files

The proliferation of technology and vast amount of data transferred every day has made it imperative to practice security measures to protect people and their information. This issue has been handled by the implementation of cryptography in exchange of data. However, there exist many algorithms that can be used to encrypt and decrypt information and choosing the right one for a specific task is crucial. This paper focuses on effectively comparing four popular encryption ciphers, namely RSA, DES, Triple DES and Blowfish, through a web application that allows for measuring various factors of encryption, to provide a graphical result of the best algorithm to use for encrypting text files.
LibGuides: Information for Remote Schooling: Exceptional Student Education (ESE) Resources

This guide's purpose is to provide parents with information about free resources available for grades K-12. Individual schools are providing lessons for students online.
LibGuides: Getting Into Comics & Graphic Novels: Comic Layout

This guide is for anyone who has an interest in reading comics and graphic novels, but is not sure where to begin.
OBJECT DETECTION AND DATA CLASSIFICATION WITH DEEPLEARNING MODEL USING TENSORFLOW

Deep learning is the sub set of machine learning in artificial intelligence. The major role is played in deeplearning is analysis the inner function of the object and make effective decision. Deep learning achieves higher successresults in many applications and can provide faster results in data analytics process. Object has more number of patternsand geographical movements. Analysing these pattern we need effecting classification method with maximum efficiencyand minimum processing time. In this paper, we used TensorFlow for detecting object from real time video stream data.This neural network model and create data pattern for each objects. TensorFLow MNIST dataset is used dataclassficiation and analytics process. This library files are developed my Google. The multiple actions and classificationtechniques are analysed. The experimental results are analysed with liner unit, softpuls, softsign and convolution neuralnetwork. The result shows that more accurate and objects detection using TensorFlow.
Las nuevas tendencias en la enseñanza del español : el uso de aplicaciones online en el aula

Este articulo trata de las ventajas y las diferentes maneras del utilizar las herramientas online y los telefonos moviles en el aula, asi como las novedades didacticas que estos ofrecen en la ensenanza del espanol. Tras una breve introduccion teorica, el ensayo presenta diferentes plataformas y ofrece algunas ideas de como integrarlas en la clase de ELE para facilitar el proceso de ensenanza- aprendizaje. This paper studies the advantages and different ways of using online tools and mobile phones in the classroom, as well as the methodological novelties they offer in teaching Spanish. After a brief theoretical introduction, the essay presents different platforms and offers some ideas of how to integrate them in Spanish classes to facilitate the teaching-learning process.
PERCEPTIONS OF GENERAL AND SPECIAL EDUCATORS ABOUT INCLUSION TO STUDENTS WITH AUTISΜ ΙΝ SCHOOLS OF GENERAL EDUCATION

Nowadays, inclusion of students with Autism Spectrum Disorder (ASD) in general education is increasing, and teachers are invited to incorporate them in their classroom. The present study attempts to investigate the views of teachers of general and special education on inclusion of students with ASD in the mainstream classroom. The research participants were sixteen general and special education teachers serving primary schools in the counties of Arta and Preveza during the 2019-2020 school year. The research was conducted using a semi-structured interview. According to the results of the survey, all teachers had knowledge of the disorder, but special educators had a bit more specialized knowledge. Overall, teachers expressed positive views on the inclusion of students with ASD and no significant differences were found between general and special education teachers. The characteristics of the student with ASD have been shown to be an important factor in the views of all participants regarding the choice of framework of study, as well as the collaboration between teachers for successful inclusion. In addition, the importance of continuing education on autism and inclusion has emerged as a factor with significant impact on inclusive education for all participants. Article visualizations:
Aplikasi Penjualan Berbasis Web Untuk Toko Tas Lutuna Pontianak

Sales online Store Tas Lutuna Pontianak done by anilisis against the requirement. To figure out what the needs of development, the writers do by way of data collection which consists of primary data and secondary data. Data collection techniques used in this research is the interview and study the documentation. In this study the authors using this form of research in the form of case studies in methods of Research and Development where this method is a form of research that produces a particular product and test the effectiveness of these products to function in the community. Data collection techniques used are observation, interview and documentation study. Model design of software used is a model of Rapid Application Development (RAD). To model the system from beginning to model the information system for enterprises to web applications, the author uses UML. Software using the PHP programming language, with a MySQL database.The results of this design will produce a website online sales through social media on Tas Lutuna Collection by providing an effective information like the search feature, the shopping cart instantly. The final results of research is an online sales website that can be used by Tas Lutuna Pontianak to meet the needs of every product consumers demand quickly and with a better system, and are expected to assist in managing product data and product marketing.
LibGuides: Fluid Power: eBooks

Research resources, tips, and support from SCC librarians Books in SCC & partner libraries
Design of a blockchain-based platform to support the availability of Entry Summary Declarations to European Customs

To ensure safety and security of imported goods, customs authorities perform risk assessment on incoming goods. European customs use declaration data provided by traders to execute risk analysis. Lacking availability of this data to customs authorities currently hinders proper risk management and poses threats for the European socio-economy. To solve this issue, this research analysed how Blockchain, an emerging and promising technology, could solve the issue at hand. Using a design-oriented approach, the process to be supported was analysed, the requirements were elicited, and the core blockchain components were identified. This was instrumental to develop a blockchain-based platform to support the availability of declarations data to customs authorities. The feasibility of the designed platform was evaluated through a comparison with TradeLens, an existing supply chain platform underpinned by blockchain technology, and possible implementation issues were identified by using a blockchain governance framework. The platform design contributes to the import control system implementation and research on blockchain technology. The next step is the development of a Proof-of-concept to analyse whether the designed platform supports the process at stake.
PERCEPTION OF SECONDARY SCHOOL STUDENTS’ UTILIZATION OF MOBILE DEVICES FOR LEARNING

The perception of learners is key to the integration and effective utilization of technology into the educational system hence it is of essence to determine students’ willingness in the use of mobile devices for learning. The study therefore investigated the Perception of Secondary School Students’ utilization of Mobile Devices for learning. It adopted the descriptive design with a sample size of 375 senior secondary school II students. Two research questions and one hypothesis guided the study. The instrument tilted Questionnaire for Students’ Perception on Mobile Devices Utilization for Learning (QSPMDUL) was developed. The questionnaire was structured using 4-point Likert scale which was subjected to content and face validity using Cronbach’s Alpha method of internal consistency and a reliability coefficient of 0.89 was obtained. The research questions were analyzed using standard deviation and mean statistics while the hypothesis was tested using independent t-test. A criterion mean of 2.5 was set as the cut off mean to make the decision. The findings revealed that students showed positive perception towards mobile devices for learning and strongly believed that owning a mobile device could pose no threat to their studies. The study also revealed that perception of students does not differ significantly based on gender. The researchers therefore recommend that educators and instructional developers should support m-learning through creating adaptable software applications to facilitate mobile learning with ease of use while school administrators are to encourage the use of mobile devices for learning among their learners.
Technical Debt: An empirical investigation of its harmfulness and on management strategies in industry

Background: In order to survive in today's fast-growing and ever fast-changing business environment, software companies need to continuously deliver customer value, both from a short- and long-term perspective. However, the consequences of potential long-term and far-reaching negative effects of shortcuts and quick fixes made during the software development lifecycle, described as Technical Debt (TD), can impede the software development process. Objective: The overarching goal of this Ph.D. thesis is twofold. The first goal is to empirically study and understand in what way and to what extent, TD influences today’s software development work, specifically with the intention to provide more quantitative insight into the field. Second, to understand which different initiatives can reduce the negative effects of TD and also which factors are important to consider when implementing such initiatives. Method: To achieve the objectives, a combination of both quantitative and qualitative research methodologies are used, including interviews, surveys, a systematic literature review, a longitudinal study, analysis of documents, correlation analysis, and statistical tests. In seven of the eleven studies included in this Ph.D. thesis, a combination of multiple research methods are used to achieve high validity. Results: We present results showing that software suffering from TD will cause various negative effects on both the software and the developing process. These negative effects are illustrated from a technical, financial, and a developer’s working situational perspective. These studies also identify several initiatives that can be undertaken in order to reduce the negative effects of TD. Conclusion: The results show that software developers report that they waste 23% of their working time due to experiencing TD and that TD required them to perform additional time-consuming work activities. This study also shows that, compared to all types of TD, architectural TD has the greatest negative impact on daily software development work and that TD has negative effects on several different software quality attributes. Further, the results show that TD reduces developer morale. Moreover, the findings show that intentionally introducing TD in startup companies can allow the startups to cut development time, enabling faster feedback and increased revenue, preserve resources, and decrease risk and thereby contribute to beneficial effects. This study also identifies several initiatives that can be undertaken in order to reduce the negative effects of TD, such as the introduction of a tracking process where the TD items are introduced in an official backlog. The finding also indicates that there is an unfulfilled potential regarding how managers can influence the manner in which software practitioners address TD.
DEVELOPMENT OF TEACHER EDUCATION IN THE CONTEXT OF A STUDENT-CENTERED APPROACH

Appears in: EDULEARN20 Proceedings Publication year: 2020Pages: 2263-2271ISBN: 978-84-09-17979-4ISSN: 2340-1117doi: 10.21125/edulearn.2020.0702Conference name: 12th International Conference on Education and New Learning TechnologiesDates: 6-7 July, 2020Location: Online Conference
Performance analysis of data mining software with parametric changes

There are significant increases in data mining software as in the data mining studies in the last years. Those increasing software are developed depending on the usage areas. Because of this reason, various parameters are supplied to the users. The parameters have the default values, but they may change with the values used by the user, and they are integrated when the algorithm is applied. In this study, supplying various parameters according to the classification parameters of the data mining software, and the effect of those parameters, which are manageable, on the success of the classification are analysed. Three different algorithms, support vector machine (SVM), K nearest neighbour (KNN) and artificial neural networks (ANN) are applied to five various data mining and the effects of manageable parameters on the classification successes are studied.
Implementação da plataforma tecnológica embarcada em um dispositivo robótico móvel para inspeção de ambientes confinados : Espeleorobô.

In order to reduce human exposure to hazardous situations and generate data from unknownlocations, the use of mobile robots is a feasible choice. This work is about the development of thesoftware for a mobile robot to conduct inspections in confined environments at teleoperated orautonomous missions. The software structure of the first versions of the robot makes it difficultto insert new features: the structure of the code had high inter-dependence and was not modular.The new system is designed to be fully modular, with specific and well-defined functions toallow scalable integration of new technologies easily. The proposed software modules werecreated using the Robot Operating System (ROS), an operating system that condenses in oneplatform all the functionality needed to create robotic systems. Implementing these modules inROS enables multiple devices such as motors, cameras, and computers to communicate witheach other efficiently. Field experiments conducted in galleries, pipelines, and mines attest to theefficiency and full operation of the robot.
Library Guides: Get Articles This Library Doesn't Have: Placing an Interlibrary Loan Article Request While Searching a Database

Did you know that we have a service that can get articles we don't have from other libraries? Includes a video version of the instructions. #full text, #articles, #ILL, #Interlibrary Loan