Reviewerly/exHarmony huggingface dataset:
IT Security Investment Decision by New Zealand Owner-Managers

Small businesses employ 29% of New Zealand's private sector workforce and account for more than a quarter of its gross domestic product. Thus, a large-scale attack on small businesses could prove to be catastrophic to the economy. This chapter, which is framed by the protection motivation theory, explores 80 small business owners' IT security decision-making via an online survey. The findings revealed that 21% of small businesses were affected by ransomware. Fifty-one percent of the respondents did not have any anti-malware and none of the respondents used data classification, which means all information was regarded as the same. Since they managed to recover their backup information, they did not perceive the threat of ransomware as imminent. In terms of coping appraisal, it is assumed that if the business owner-managers believe that the capability of IT security investment averts threats in their organizations, they will be more inclined to develop an intention to invest in it.
Restoring Stephan Von Huene's Tap Dancer: Finding Logic within Integrated Circuits

Stephan von Huene is recognized for his acoustical sculptures that combine movement and sound with the flip of a switch. This paper will focus on his Tap Dancer (1967) composed of cropped legs in pants and shoes on a wooden base that perform a 30-second tap dance at regular intervals. The movement and sound are controlled by integrated circuit boards wired to valves, a vacuum and recycled musical components. The condition of the wiring and circuitry is critical to allow the performance, which is intended to be random by way of an erasable programmable read-only memory (EPROM) and timing circuit. Von Huene's sculptures have conservation issues when exhibited and plugged in for action. Challenges arose during the exhibition of Tap Dancer at the J. Paul Getty Museum in Los Angeles leading to conservation interventions including the adaptation of EPROM data to a solid-state controller. After exhibition at the Getty, the temporary solutions were replaced with a full restoration of the original circuit boards repairing wiring or damaged chips as needed. The history of Tap Dancer has shown that with the desire to exhibit von Huene's works as intended, the endurance of their structures is inevitably at risk.
Programmable Address Generation Unit for Deep Neural Network Accelerators

The Convolutional Neural Networks are getting more and more popular due to their applications in revolutionary technologies like Autonomous Driving, Biomedical Imaging, and Natural Language Process ...
Enhancing Effective Teaching and Learning Using Multimedia Tutorials with Quizzes on Smartphones

The curriculum of colleges of education in Ghana emphasis on professional values and attitudes, professional knowledge and professional practice to help groom trainee teachers.This paper dwells much on the professional practice.With an averages student population of one thousand five hundred (1500), there is only one computer laboratory with only sixty (60) computers working in Bagabaga College of Education in the Northern Region of Ghana.This brings the average computer student ratio to 1:25.This inadequate computers in the school does not enhance effective teaching and learning thereby making teachers resort to lecture method in teaching practical lessons.The study is to help students in level 200 in Bagabaga College of Education learn practical task in ICT using their smartphones as a substitute for the computer.Five hundred and seven (507) students out of the total population of over one thousand five hundred (1500) students were used in this research as they constitute a year group for the study.Research instruments used are: test and observation.These were used at the pre-intervention and post intervention stages of the research.Multimedia tutorials was developed to assist the learners learn at their own pace in some of the practical tasks.Post intervention information revealed that students' performance improved significantly.Camtasia studio 7 was used in developing the tutorial with natural Ghanaian narrations by the tutor.The findings of the research revealed practical lessons that are taught by mere demonstrations without students practice do not enhance students understanding of the subject matter.Demonstration coupled with students practice are vital to student understanding of classroom lessons.
Swot Analysis of Supporting Marketing Strategy Cooperative Existence in Correctional Institution

The life of prisoners in the Penitentiary is very limited in meeting their needs and experiencing conditions of revocation of the right to freedom of movement limited by the prison walls. On the other hand, there is access to fulfillment of needs through visitors' luggage, and there are also illegal shanties where inmates who sell inside the selling block can threaten the existence of cooperatives inside prisons, which is considered more expensive than items outside of prison. This study aims to determine the marketing strategies used by organizations in prisons effectively and efficiently to maintain their existence. In this study, the authors used a descriptive qualitative research method with data collection methods through interviews, observation, documentation, and literature studies. The marketing strategy of Purwokerto Penitentiary Cooperative based on the results of the SWOT analysis shows the need for regulations to regulate visitors with their cargo and need to collaborate with investors, producers, distributors, and managers of cooperatives.
Analysis of Denoising Techniques applied to Facial Images for Emotion Recognition

The recognition accuracy of automated facial emotion recognition (AFER) is affected by many factors i.e. emotion intensity, ageing, facial hair, image resolution, head pose, presence of noise etc. Thus preprocessing stage in AFER is quite crucial and necessitates the proper selection of filter. Therefore primary aim of this work is to remove noise from facial images using Savitzky-Golay filter (SGF), Discrete Wavelet Transform (DWT) and median filters. The filters are implemented on images taken from extended Cohn-Kanade (CK+) database, corrupted by various noises with varying noise levels. Results reveal the effectiveness of designed filters for AFER in terms of coefficient of correlation (COC), signal to noise ratio (SNR), mean square error (MSE), peak signal to noise ratio (PSNR) and structure similarity (SSIM).
A Study on the Pronunciation of Vietnamese Korean Language Learners : A Focus on the Applicability of Phonological Phenomena Based on Proficiency Level.

This study aimed to examine the characteristics of the pronunciation of Vietnamese Korean language learners, especially in terms of the applicability of phonological rules. According to the orthographic depth hypothesis, letter-to-sound correspondence affects phonological processing. As the Vietnamese language is a ‘shallow orthographic system’ in which every letter is pronounced, phonological rules hardly take place. On the contrary, in the Korean language, when the final consonant of the first syllable meets the initial consonant of the second syllable, phonological phenomena occur. Therefore, when Vietnamese Korean language learners pronounce Korean, they may fail to apply phonological rules due to their habit. In this study, experiments of pronunciation production were conducted in order to examine the characteristics and errors found in the pronunciation of Vietnamese Korean language learners. As a result, significant differences were found in some vocabularies among the three groups―beginner, intermediate, and advanced. However, errors were much more frequently observed in pronouncing as letter-to-sound without applying phonological rules than in mispronouncing due to the incorrect application of phonological rules. These results show that accurately pronouncing the phonetic value of individual consonants and applying phonological rules are two different issues; moreover, the results indicate that practicing the application of phonological rules is important for Vietnamese learners to pronounce Korean in a natural manner.
Foreground Background Separation Using Genetic Algorithm

Foreground background separation has become a significant factor in image processing for the past few years due to its many applications in the field of computer vision. In most researches, subtraction of images is used in the detection of foreground objects in an image. In this paper, the subtraction process will be substituted with a simple thresholding determined by genetic algorithm. Genetic algorithm solves for the ideal threshold that will be eventually used in classifying the pixels of an image is part of the foreground or the background. Erosion and dilation are other operations and processes used to come up with foreground objects.This study is part of a bigger research that aims to understand chicken’s behavioral patterns in a poultry set-up. The whole system has three main processes namely: genetic algorithm for determining the threshold, classification of pixels and object detection.
A Rasch Modeling and Qualitative Research on English Supply Items in a High School English Assessment

The purpose of this study is to analyze the fitness and difficulty of the English supply items in high school English Tests based on the student''s English ability, and to find out how to produce an appropriate supply item. The Rasch model investigated the correlation between a percentage of correct answers for the six supply items actually used in a high school English Tests and their English achievement. To do so, 95 high school students participated in this research and their responses to the test were investigated in the model, which was applied to analyze whether one of the six items was too difficult or easy to consider students'' English ability statistically. A qualitative research was applied to the reason why some of the items were too easy or difficult. As findings of this study, the item that requires simple vocabulary knowledge, the item that does not provide accurate clues about the categories of knowledge with the student, the item that requires two or more thinking processes for correct answers are too easy or difficult. In addition, it is necessary to prepare items involved with authentic communicative competence in order to improve it, and the examiner needs to provide clues to present his or her intention with the students. Moreover, based on the content in the official curriculum, an item should be produced that evaluate the students'' achievement meaningfully. (Chonbuk National University)
Subject-Orientated Technologies In Professional Education

The article is devoted to the question of studying subject-orientated technologies in the context of educational process at universities. It describes the phenomenon of student’s subjectivity, which, being closely connected with the person’s axiological characteristics and self-organization abilities, has become a necessary social demand for a specialist in the modern world. Literature analysis and knowledge synthesis on the subject allowed denoting the historical role of universities and their characteristics in the new millennium. University’s educational environment is regarded as a factor of forming students’ subjectivity. This becomes possible due to the subject-orientated technologies, among which subject-orientated situations, aiming at achieving student’s own educational result in the course of a specially organized activity, are considered to be the most effective ones. The article denotes the peculiarities of the subject-orientated situations; proves their pedagogical potential and classifies them; points out the possible ways of student’s behaviour in the situation.
Dual Similarity Learning for Heterogeneous One-Class Collaborative Filtering

In this paper, we focus on a recently studied problem in recommendation called heterogeneous one-class collaborative filtering (HOCCF), which consists of different types of feedback, e.g., target feedback and auxiliary feedback. The main challenge of HOCCF is how to make good use of the large-scale and ambiguous auxiliary feedback to assist the task of learning users'true preferences. Inspired by a recent method that jointly learns the similarity among items associated with the target feedback and auxiliary feedback in a transfer learning manner, we further extend this method by learning additional similarity among users for better modeling users' preferences. Specifically, we jointly learn the item-based similarity and user-based similarity by leveraging the target feedback and auxiliary feedback, and then aggregate the dual similarity into one single prediction rule for estimating users' preferences, which is thus termed as dual similarity learning model (DSLM). Extensive empirical studies on three public datasets show that our DSLM with dual similarity is more effective in terms of recommendation accuracy, demonstrating that our method strikes a good balance between the item-based similarity and user-based similarity.
Theories as Abstract Entities

In this chapter a well-known dilemma is presented for musical works, involving their purported abstract nature and creativity. A similar dilemma is presented for scientific theories and various ways of resolving both dilemmas are canvassed. One is to take artworks and theories to be abstract and understand the creative act in terms of the author’s situation in some abstract space. Another is to insist that both are imaginary things and that appreciation of either involves intelligent reconstruction. Such views not only involve ontological proliferation but also fail to accommodate the heuristic processes involved.
The professional development of teachers of primary education, improvement of the professional qualifications and skills

Initial education is about making suggestions and recommendations for improving teachers’ development mechanisms. Identification of pedagogical and psychological features and factors of pedagogical skills development in teachers; development of scientifically based suggestions and recommendations on pedagogical development of teachers'abilities. Creating a person-centered free learning environment for creative self-promotion of teachers through innovative education and information and communication technologies VASlastenin, G. Chijakova I It is based on scientific researches of Ridanova, Y. Kruglova, J. Yuldashev, N. Azizkhodjaeva, U. Tolipov. Their research explores the socio-psychological issues of creativity and creativity, the psychodiagnostics, the relationship between intellectual and pedagogical, through a comparative analysis of concepts such as creative process, creative product, creative personality and creative environment. On the basis of in-depth analysis of pedagogical abilities, it was found that their constituents are directly related to communicative competence: didactic, perceptual, suggestive, empathic, acmeological, cognitive abilities and so on. It is this aspect that indicates the need for a holistic systematic set of pedagogical skills. Pedagogical ability is a special ability that determines the ability of a specialist to carry out pedagogical activity and the competence to successfully engage in this type of work.
Secure Quick Response Based on Dynamic Quick Response Code

This paper aims to explain the nature of quick response (QR) codes and their possible applications in attendance monitoring system at several universities. The aim of this research was to avoid QR code scanning for students who do not attend classes. A QR Code is a two dimensional barcode that is capable of storing a lots of information and various types of information. QR codes have a wide range of uses, including easy storage and transmission of data including web link URLs (Uniform Resource Locators), plain text, email addresses, contact information, SMS or MMS, calendar entries, Wireless network login and more. Based on research and observation, there are many students who like to take a picture of the code and send it to their friends who do not attend the class. There will be an injustice between students attending classes and not attending classes with this problem. Therefore, this research has developed an application of QR code scanner that can scan the QR code whether it is original or copy. In addition, the research has also developed a system of QR code generator and the system will generate the code to become Dynamic QR Code.
Communicate Using the Numbers 1, 2, 3, and More

People often use lists of various sizes when communicating. I might have 2 reasons for supporting the new company strategy. I might tell you my 3 favorite programming languages. I might make a presentation that describes 4 new features. There is 1 vegetable that I like more than any other. The length of the list affects how the audience interprets what is being said. Not aligning with what the human brain expects is like swimming upstream. Given the choice, why would anyone do that?
Coronavirus-2019. General considerations/ Coronavirus-2019. Consideraciones Generales

According to what was published by the WHO (World Health Organization), a first case of acute respiratory infection, of unknown origin, appeared in the province of HUBEI, CHINA, in the city of WUHAN, (December 2019). After having ruled out other etiological agents, the isolation of a new coronavirus (7-01-2020) was achieved, which was called new coronavirus (nCOV, COVID-19), currently named SARS-CoV-2. Coronaviruses, being important pathogens, can infect the respiratory, gastrointestinal, hepatic, and nervous systems of humans and birds, livestock, bats, mice, and other wild animals. Since the outbreaks of SARS (Severe Acute Respiratory Syndrome) in 2002 and MERS (Middle East Respiratory Syndrome) in 2012, the transmission of these viruses between humans and animals has been demonstrated.
Statistical analysis of Sunspot and total solar irradiance effects on the climate in kirkuk area for three solar cycles (22,23,24)

In this study Sunspot number(SSN) and Total solar irradiance(TSI w ) observation were extracted from the Solar Influences Data analysis Center (SIDC) and Earth Radiation Budget Satellite (ERBS) for solar cycles 22,23 and 24 (1988-2017) and for the same cycles the parameters of climate were taken from the meteorological data recorded in Kirkuk station, which includes annual relative humidity(RH%),annual air temperature (cº)(T), annual Rainfall (mm)(p), and annual Sunshine duration(h/day)(SH).The statistical correlation between the adopted solar and climate parameters has been achieved by using Statistical program (SPSS) version (23). From this statistical analysis shows that there is a correlation between SH with both (SSN) and (TSI) less than 0.5 that is mean (SSN) and (TSI) have little effect on SH while the correlation is weak or missing between both (SSN) and solar (TSI) with RH% through the correlation coefficient values (0.05,0.032). The effect of (TSI) on the air temperature more than the impact of (SSN) but less than 0.5. The effect of (SSN) more than (TSI) on the amount of rainfall less than 0.5 according to the correlation coefficient value .this investigation shows that the climate in Kirkuk is clearly influenced by solar activity which includes SSN and TSI.&#x0D; &#x0D; http://dx.doi.org/10.25130/tjps.24.2019.092
Implementation of an efficient FPGA architecture for capsule endoscopy processor core using hyper analytic wavelet-based image compression technique

To receive images of human intestine for medical diagnostics, wireless capsule endoscopy (WCE) is a state-of-the-art technology. This paper proposes implementation of efficient FPGA architecture for capsule endoscopy processor core. The main part of this processor is image compression, for which we proposed an algorithm called as hyper analytic wavelet transform (HWT). The hyper analytic wavelet transform (HWT) is quasi shift-invariant; it has a good directional selectivity and a reduced degree of redundancy. Huffman coding also used to reduce the amount of bits required to represent a string of symbols. This paper also provided forward error correction (FEC) scheme based on low density parity check codes (LDPC) to reduce bit error rate (BER) of the transmitted data. Compared to the similar existing works this paper proposed an efficient architecture.
Test Similarity Data Ground Truth with Image Acquisition Using the Dice Algorithm

In-vehicle tires there are essential components, one of it is a wire that supports the tire, there are several types of tire wire, one of it is brass plated tire steel cord. The object of brass plated steel cord tire has a micro-size below 1mm and a wave shape. In checking the quality of brass plated steel cord tire is usually measured manually by experienced experts, the manual measurement process sometimes experiences inaccuracies due to visual fatigue factors. Moreover, measurements must be repeated for the future so that it takes longer. The development of application technology using image processing is increasingly widespread, but the use of quality detection in steel cord and brass cord using image processing is are currently not found. The first step before taking an image measurement on brass plated tire steel cord is to test the similarity of the acquisition image with the data ground truth image on the brass plated steel cord tire so that it can be ascertained that the measurement stage can be done. The method used is related to the similarity test of this image using the similarity Dice algorithm. The results of the similarity test use Dice on 30 samples by comparing the data of Image Acquisition and Data Ground Truth. The truth brass plated tire cord has an average value of 99%. It can be concluded that the object edge detection of the image of brass plated tire steel cord has high accuracy for measuring using image processing techniques.
Investigating the saliency of SAR image chips

Machine learning techniques such as convolutional neural networks have progressed rapidly in the past few years, propelled by their rampant success in many areas. Convolutional networks work by transforming input images into compact representations that cluster well with the representations of related images. However, these representations are often not human-interpretable, which is unsatisfying. One field of research, image saliency, attempts to show where in an image a trained network is looking to obtain its information. With this method, well-trained networks will reveal a focus on the object matching the label and ignore the background or other objects. We train and test neural networks on synthetic SAR imagery and use image saliency techniques to investigate the areas of the image on which the network is focused. Doing so should reveal whether the network is using relevant information in the image, such as the shape of the target. We test various image saliency techniques and classification networks, then measure and comment on the resulting saliency results to gain insight into what the networks learn on simulated SAR data. This investigation is designed to serve as a tool for evaluating future SAR target recognition machine learning algorithms.