Reviewerly/exHarmony huggingface dataset:
TEACHING STUDENTS REAL WORLD ENGAGEMENT SKILLS USING LIVE SIMULATIONS AND REFLECTIVE DISCUSSIONS

The objective of this ongoing interdisciplinary research is to expose the effects of group simulations (role-playing) on students' real-world engagement skills.Project management (PM) is the implementation of knowledge, skills, tools and methods when planning and implementing activities required to meet project objectives (PMI, 2013).It includes identifying project requirements, defining clear and achievable goals, translating objectives into product attributes, working with teams and more.To create a competitive advantage, organizations are required to improve the PM process and to implement appropriate training tools (Coral-Cordova, 2014).Various studies show a significant need for implementing experiential learning processes to train employees in a safe environment to cope with real-world engagement and challenges in PM (e.g.Agile/Scrum).This requires an environment where participants can act as managers or different project roles without the costs and risks associated with an unsuccessful real project (Bar, 2011; Dantas, Barros & Werner, 2004; Larson & Drexler, 2010).Despite its emphasis on iterative learning, experiential project management learning is still ultimately oriented towards analytical thinking.Cognitive-science research show that simulations are an accelerated instrument for 'fabricating' a deeper understanding of situations that stay in the brain as real-world experiences.Also, simulations are a pleasurable and motivational method of learning (Bar, 2011; Davidoff, 2016; Kwanghyun & Saeon, 2016; Walter & Adam, 2014).Another important aspect of this research is the use of video as part of the reflective process during the simulations.By watching and analysing videos together, students gain an understanding of their verbal and non-verbal messaging in critical situations.It promotes their understanding of the impact of their behaviours and decisions (Davidoff, 2016; Masats & Dooly, 2011; Shapira-Lishchinsky, 2016).This research program has run over the last four years among students from different disciplines: engineering, entrepreneurship, business management, technology and teacher education.The common ground between the diverse populations is the importance of learning to deal with communication challenges and dilemmas in every-day work.The simulation workshops expose the students to real-life situations in a safe learning environment.After filming the simulations, the team provide detailed feedback on observations from body language to strategies.Ongoing mixed-methods analysis of the simulations and self-efficacy questionnaires completed by participants expose heightened empathy to all parties involved in different aspects of the projects; heightened awareness of the terms to create respectful/egalitarian discussions; wider variety of possible solutions to problems; better team cooperation in confronting ethical challenges and dilemmas; significant increase in students' Psychological Empowerment to handle real-world challenges.
Crypto-Steganographic LSB-based System for AES-Encrypted Data

The purpose of this work is to increase the level of concealment of information from unauthorized access by preencrypting and hiding it in multimedia files such as images.A crypto-steganographic information protection algorithm with LSB-method was implemented.The algorithm hides AES preencrypted confidential information in the form of text or images into target containing image files.This method uses the concept of data concealing in the least significant pixel bits of the target image files.The proposed method relies on the use of Diffie-Hellman public key exchange protocol for securely exchanging the stego-key used for LSB as well as the public key used for encrypting the secret information.The algorithm ensures that the visual quality of the image remains unchanged, with no distortions perceived by the human eye.The algorithm also complicates the detection of concealed information embedded in the target image with use of PRNG as an enhancement for LSB.The proposed system scheme achieved competitive results.On an average, the system achieved a Peak Signal-to-Noise Ratio (PSNR) of 96.3 dB and a Mean Square Error (MSE) of 0.00408.The results obtained demonstrate that the proposed system offers high payload capabilities with immunity against visual degradation of resultant stego images.
Nonlinear dynamics of RTD oscillators

This chapter explores the nonlinear dynamics of oscillators that have resonant tunnelling diodes (RTDs) as the key component and how RTD oscillators can be controlled by either electrical or optical signals. Compared to linear systems theory, nonlinear dynamics provides a much more comprehensive understanding of the behaviour of RTD oscillators. The key dynamic scenarios covered in this chapter include injection locking, period-adding bifurcation, quasi-periodic route to chaos, and excitable neuron-like spiking dynamical phenomena.
ANALISIS DAN DESAIN SISTEM PENERIMAAN KARYAWAN BARU PADA PT. SURYA TOTO INDONESIA

Acceptance of new employees in a company is very important because it determines the quality of the company, with the development of technology and science, the growing education process in Indonesia.Similarly, the quality of manpower is increasing both from domestic and overseas and the number is increasing rapidly.Causing many companies or agencies to be difficult to choose employees/workers who meet the needs and experts in their respective fields.The methods of study used are two types of data Penarian methods (interviews, observations and literature studies) while the method of analysis and design is by means of analysis, planning and design by using UML.The conclusion of this research is an analysis and design that can be used to facilitate the process of development of web-based information system at PT. Surya Toto Indonesia.
Listening Materials for Vocational High School Students in Indonesia: Teachers’ Perception

Initially, communication is set up by listening. Students need the ability of listening skill for educational purposes and prepare themselves in social life. This study had the objective to investigate the perceptions of the teachers about the existing listening materials at the vocational high schools in Indonesia. In this study, the researcher engaged seventeen teachers of vocational high schools in Indonesia to be the participants. Data were collected by distributing a questionnaire then followed by an interview toward two participants. The results showed that listening materials met students’ needs, supported by the process of the scientific approach, were appropriate with the objective of the study and students' level of English, related to the syllabus of the 2013 curriculum model included the topic learned. On other hand, listening materials did not improve students’ ability in English, monotonous, made students having less focus, difficult to understand, difficult to build students’ prior knowledge, boring, and uninteresting. Finally, as the teachers’ view, the use of video could be the solution to the problems.
A Revised RTM-Based Algorithm to Remove Thin Clouds within Visible Band Data of Sentinel-2A

A revised RTM-based algorithm was developed coupled with the classification of land cover types. The study area was near Cedar Island National Wildlife Reserve, North Carolina, USA. A cloud-covered Sentinel-2A image of 1000 (rows) × 1000 (columns) acquired on 2 February 2017 was studied. The area was classified into three land cover types of vegetation, bare soil, and water. The assumption that the linear relationship of the TOA reflectance of any two visible bands was independent of the terrain types in the RTM-based algorithm was not valid. Thus, the impact of the land cover types on the algorithm was analyzed. The cloud-removal algorithm should be separately developed based on each land cover type removing the clouds in each land cover type accordingly. This assessment was evidenced by the spatial correlation coefficients of the cloud-covered image and the cloud-free reference image, of the cloud-removed image using the revised RTM-based algorithm and the reference image, and of the cloud-removed image using the original RTM-based algorithm and the reference image. The revised algorithm was not only effective in the removal of thin clouds land cover type-by-cover type but also outperformed the original RTM-based algorithm.
Centroid-Based Scene Classification (CBSC): Using Deep Features and Clustering for RGB-D Indoor Scene Classification

This paper contributes a novel cognitively-inspired method for RGB-D indoor scene classification. High intra-class variance and low inter-class variance make indoor scene classification an extremely challenging task. To cope with this problem, we propose a clustering approach inspired by the concept learning model of the hippocampus and the neocortex, to generate clusters and centroids for different scene categories. Test images depicting different scenes are classified by using their distance to the closest centroids (concepts). Modeling of RGB-D scenes as centroids not only leads to state-of-the-art classification performance on benchmark datasets (SUN RGB-D and NYU Depth V2), but also offers a method for inspecting and interpreting the space of centroids. Inspection of the centroids generated by our approach on RGB-D datasets leads us to propose a method for merging conceptually similar categories, resulting in improved accuracy for all approaches.
Development of Musical Thinking in the Course of Training of Performing Musicians as a Pedagogical Problem

From young musicians taking their first steps in music to professionals with higher education, the level of development and maturity of thinking affect the quality of performance and understanding of music.In order to comprehend the artistic conception of works created at the end of the 20th and the beginning of the 21st centuries, future performing musicians need a high level of thinking during performance, analysis, listening to and creation of musical compositions.Development of musical thinking is inextricably connected with practical activities of students in the classroom and their independent work.The phenomenon of musical thinking requires a comprehensive pedagogical approach, especially in terms of higher education when the foundations for professional competencies of future performing musicians are being built.Therefore, this article looks at the development of thinking in performing musicians in the course of their studies at higher education institutions.It explores the specific features of musical thinking, conditions and methods of its development as a fundamental ability of a musician for their professional activity.
Effective Methods to Improve the Educational Process of Medicine in Bulgaria

The introduction of modern technologies into the educational process of medical students is a challenge of the new era in education, which can increase the success of students and give them confidence in their capabilities.The paper considers the use of physiological clinical record databases as an effective means of gaining prior experience from students that will be of use to them in their professional work.The paper describes the entering of serious educational games into the learning process of students in Bulgaria.The serious games and the pedagogical methods applied therein are an innovative technological means of developing individual, social and cognitive qualities on which the individual's professional realization depends.The paper presents the results of a survey conducted at the universities of medical education in Bulgaria.Respondents' opinion of their desire to use serious games in their training and how games affect them has been studied and shown.
Project management on adaptation of young teachers in the general education organization

The relevance of the studied problem is substantiated by the need for implementation of management of process of adaptation of young teachers for the general education organization and insufficient readiness of theoretical, substantial, technological, scientific, and methodical aspects of management of process of adaptation of young teachers in the course of pedagogical activity. In this regard, we reviewed development, approbation and management of the educational project on adaptation of young teachers in the general education organization in this article. Questions of definition and creation of organizational and pedagogical conditions of management of the educational project on adaptation of young teachers at school are considered. The efficiency of the created and introduced organizational and pedagogical conditions is considered by authors through a prism of key functional fields of project management. The purpose of article consists in the description of implementation of the project on adaptation of young teachers in the general education organization and experimental check of management efficiency of it based on the developed matrix of works on formation of organizational and pedagogical conditions. The main method of a research of this problem is the design allowing considering this problem as the process of purposeful and conscious project management on adaptation of young teachers in the general education organization.
Jaringan Syaraf Tiruan untuk Memprediksi Penjualan Kelapa Sawit Menggunakan Algoritma Backpropagation

This study discusses the prediction of palm oil sales using artificial neural networks, which is one of the artificial representations of the human brain that always tries to simulate the learning process of the human brain. The application uses a backpropagation algorithm where the data entered is the number of sold. Then artificial neural networks are formed by determining the number of units per layer. After the networks is formed, training is carried out from the grouped data. Experiments are carried out with an architecture consisting of input units, hidden units, output units and architecture. Testing is done with matlab software. For now the competition for palm oil sales is getting tougher. Predictions with the best accuracy use the 12-2-1 architecture with an accuracy rate of 92% and the lowest level of accuracy using 12-6-1 architecture with an accuracy rate of 58%
Three-dimensional measurement of rotating combinative Dammann gratings

As an important means to obtain three-dimensional depth information of target, optical measurement has been widely used in face recognition, machine manufacturing, aerospace and other related fields in the past decades. Optical three-dimensional imaging and depth measurement is a fast and non-contact method for reconstructing three-dimensional imaging and depth measurement of objects based on optical means and digital image processing analysis. In this paper, a three-dimensional measurement module of transversely rotating combined Dammann grating is proposed, which generates interleaved high-density dot-matrix structured light for three-dimensional imaging and measurement. The measurement module consists of integrated components of laser and beam expander, collimating lens, four transversely rotating combined Dammann gratings with different beam splitting ratios, and objective lens. The laser emits a laser beam which is collimated by a collimating lens. Four Dammann gratings are used to generate four non-staggered dot-matrix by splitting them, and then the high-density staggered projection dot-matrix for three-dimensional measurement and imaging are projected by the objective lens. The measurement module has the advantages of simple structure, high output dot-matrix density, staggered projection dot-matrix edges, and easy integration into mobile devices. This technology may reduce the complexity, number of optical elements, power consumption and cost of structured light projectors in mobile and fixed 3D sensors.
Probabilistic modelling of sedimentary basin evolution using Bayeslands

SummaryBadlands is a basin and landscape evolution forward model for simulating the evolution of surface topography, sediment transport and sedimentation at a large range of spatial and time scales. Here we use the Bayesian paradigm to find the best-fit parameters driving basin evolution models using Badlands. Inference in a Bayesian framework is obtained via the modelled distribution of the unknown parameters. We implement parallel tempering Markov chain Monte Carlo (PT-MCMC) using high performance computing to accelerate parameter space exploration of the computationally expensive Badlands model. Our results show that traditional implementations of single chain MCMCs rarely converge and lead to misleading inference. In contrast, PT-MCMC not only reduces the computation time, but also provides a means to improve the sampling for multi-modal posterior distributions. This motivates its usage in regional basin and landscape evolution models, allowing us to determine the relative importance of different parameters driving basin stratigraphic evolution. Parameters that can be explored include time-dependent tectonic and dynamic topography, precipitation, rock erodibility, flexural rigidity of the lithosphere and relative sea level fluctuations.
Scalable Data Analytics Market Basket Model for Transactional Data Streams

Transactional data streams (TDS) are incremental in nature thus, the process of mining is complicated.Such complications arise from challenges such as infinite length, feature evolution, concept evolution and concept drift.Tracking concept drift challenge is very difficult, thus very important for Market Basket Analysis (MBA) applications.Hence, the need for a strategy to accurately determine the suitability of item pairs within the available billions of pairs to solve concept drift chalenge of TDS in MBA.In this work, a Scalable Data Analytics Market Basket Model (SDAMBM) that handles concept drift issues in MBA was developed.Transactional data of 1,112,000 were extracted from a grocery store using Extraction, Transformation and Loading approach and 556,000 instances of the data were simulated from a cloud database.Calibev function was used to caliberate the data nodes.Lugui 7.2.9 and Comprehensive R Archive Network were used for table pivoting between the simulated data and the data collected.The SDAMBM was developed using a combination of components from elixir big data architecture, the research conceptual model and consumer behavior theories.Toad Modeler was then used to assemble the model.The SDAMBM was implemented using Monarch and Tableau to generate insights and data visualization of the transactions.Intelligent interpreters for auto decision grid, selectivity mechanism and customer insights were used as metrics to evaluate the model.The result showed that 79% of the customers from the customers' consumption pattern of the SDAMBM preferred buying snacks and drink as shown in the visualization report through the SDAMBM visualization dashboard.Finally, this study provided a data analytics approach for managing concept drift challenge in customers' buying pattern.Furthermore, a distinctive model for managing concept drift was also achieved.It is therefore recommended that the SDAMBM should be adopted for the enhancement of customers buying and consumption pattern by business ventures, organizations and retailers.
Penerapan Algoritma Naive Bayes untuk Penentuan Resiko Kredit Kepemilikan Kendaraan Bermotor

Credit companies provide rentals for the community to help obtain transportation vehicles such as motorbikes, but also require the approval received by companies such as bad payments in the payment of loans issued to companies that make money or financing. With the many credit risks, companies must be selective in choosing consumers who will be given credit so as not to make the company suffer losses. The method used in this study is the Naïve Bayes Algorithm and processed using Rapidminer Studio 5.3 software. The data used consisted of 55 training data and 10 test data. There are 9 variables used in this study, namely marital status, number of children, home ownership, housing conditions, employment, tenure, age, income, and down payment. The level of accuracy obtained from testing using Rapidminer Studio 5.3 is equal to 90%. By using the Naive Bayes algorithm in classifying consumers, it is hoped that it can assist companies in carrying out the mining process on the previous data and make the right decisions in determining new consumers from previous consumer data.
From cradle to grave: The life cycle of a digital learning object

Most librarians have probably experienced finding that a website they liked has disappeared, perhaps a video on YouTube, a tutorial, or even just an informative webpage. Sometimes the URL has simply changed, and the item can be found again. Other times the item has truly been retired. Without trying to track down the original creator or hosting body, we may never know exactly what happened nor why. Since we also place links to some of these items on our library webpages, disappearing websites create broken links or “link rot.” Librarians are also creators of some of these disappearing websites.
Good Partners? Can Open Access Publishers and Librarians Find Meaningful Ways to Collaborate?

What should the relationship be between the purely Open Access publishers and librarians? Yes, in theory, among publishers these are publishers who are fully aligned with libraries to end the stranglehold which the traditional subscription publishers have on libraries. Yes, they are 100% attribution-only (CC-BY) publishers living up to the goals of Open Access (as described in the Budapest Open Access Initiative [BOAI]). But, are they just replacing over-priced subscriptions with over-priced APCs (Article Processing Charges)?
Analisis dan Perancangan Sistem Reservasi Paket Wisata Untuk Internal Karyawan PT. Garuda Maintenance Facility (GMF) Tbk

PT. Garuda Maintenance Facility (GMF) is a member of Garuda Indonesia, which provides free ticket facilities every year for its permanent employees. However, most of its employees have problems in making tour package reservations due to the lack of knowledge of tourist attractions. The purpose of this research is to provide solutions for PT. GMF employees in making tour package reservations, and it can be the solution for Koperasi Karyawan Garuda Maintenance Facility AeroAsia Sejahtera (KopKar GMF AAS) business opportunities in tourism sector. This research is using the interview method, observation, and literature review to compile the research supporting data, whereas the analysis method and design is using object-oriented analysis and design (OOAD). The result of this research is a form of system design which provides convenience for the employees who are making tour package reservations, as well as a business solution for KopKar GMF AAS. PT. GMF employees as the user of the tour package reservations user, and KopKar GMF AAS as the admin (administrator) of the system. The analysis and the development of this tour package reservations system include four main processes, which are creating travel plan, booking the travel package, payment confirmation, and managing transactions.
From Acquisitions to Collection Development

Over the last few years, the Collection Development Department at the University of Waterloo Library has been heavily engaged in revamping a number of long-established workflows in an effort to streamline processes to create greater efficiency, collaboration, and access to documents.Hoping to take greater advantage of the accessibility and versatility offered by working with documents in digital format, and reducing the number of avenues for requests to arrive in the department, members of the department looked for ways to employ technologies and software to make the work flow more smoothly.Where these options did not exist, they improvised and created their own.While the evolution of the department continues, the changes implemented thus far have allowed the team to reduce troublesome backlogs in order processing, set and meet consistent service standards, and create a more versatile department capable of responding to the cyclical work peaks throughout the year.