Reviewerly/exHarmony huggingface dataset:
A Real-Time Contrasts Method for Monitoring Image Data

Machine vision inspection integrated with statistical process control is increasingly being used to detect the surface defects in industrial products. The existing methods utilized traditional control charts to monitor the change point or abnormal regions of images. However, there are some challenges in handling high-dimensional and complex image data. This paper proposes to monitor image data based on the real-time contrasts (RTC) method. RTC method converts the monitoring problem to a continuous classification problem by labelling the reference images and the real-time images with different labels. Classification accuracy is used to build statistics for image data monitoring. And a kind of under-sampling method is used to tackle the problem of sample imbalance, which exists in process and has negative effects on the classification accuracy. Performance of the proposed method is compared with that of an alternative method under both single and multiple defects scenarios via simulations. The results show that the proposed method performs better in some situations and can effectively identify the occurrence of shifts in the process.
PENGEMBANGAN MODUL BERBASIS E-BOOK INTERAKTIF PADA MATA PELAJARAN DASAR DESAIN GRAFIS

Development of interactive e-book based modules as one of the learning media in an effort to convey knowledge information to students in schools to achieve learning objectives. The number of constraints that are present when the learning process takes place such as the absence of students in schools with various kinds of reasons and the absence of teachers when the learning process in the classroom becomes a problem in school education. Learning media is one solution so that students can learn more actively and independently in order to catch up with lessons. The purpose of the development of this interactive e-book based module is to create an interactive e-book based learning media application on the basic subjects of multimedia x-class graphic design designed using Professional PageFlip 3D applications and several other supporting applications. The structure of the material in this e-book uses the Exploratory method. The tutorial and creation of this interactive e-book uses the development model of the IDI (Instructional Development Institute). The result of making this interactive e-book is a learning media application that contains material and video tutorials on basic graphic design lessons. This e-book application has been tested for feasibility by 2 media expert examiners and 2 material expert examiners which obtained results in the aspect of content with a valid level, the average value obtained was 0.95 so that it was declared suitable for use as a learning medium. Keywords : Interactive e-book, learning media, basic subjects of graphic design
Analysis and security of crypto currency wallets

A digital wallet is an electrical device or application troughwhich users can preform different types of transactions. They aredivided into two categories of cold and hot digital wallets. Thefirst category includes digital wallets that require an internetconnection and the second category includes digital wallets thatdo not require internet connection. When selecting a wallet, it isnecessary to determine the purpose of using a wallet and thenmake a purchase. The use of digital wallets is reflected in variouscharacteristics. The convenience of using the ability to execute amobile phone transaction in matter of seconds. Efficiency isreflected in the speed of transaction execution. Data organizationis one of the key features of digital wallets. The cost of usingdigital wallets is far less than the traditional way to carry outtransactions, which includes different commissions andpayments. Security of digital wallets is at high level. Every daythere is a growing need for their use because of security, speed,transactions between two users without third party assistance.This paper describes the current state of digital wallets on themarket, the choices of a better solution for purchasing and usingdigital wallets, security of digital wallets and future trends intheir development.
Influence of Critical Thinking on the Formation of Me-Concept of a Future Officer

The features of critical thinking of a future officer, its structure and characteristics are analyzed in the article.It is revealed that the development of a cadet's critical thinking in the learning process is due to the development of his creative personality, which provides for the ability to statement of a problematic point and search for non-standard ways to solve them, taking into account opposing points of view and a tolerant attitude towards the opponent.The psychological factors influencing on cadets' critical thinking formation during study in higher military institutions are defined, in particular: need-motivational (the need to solve a problem task, interest in this task); cognitive (lack of knowledge and experience), personality-based (self-esteem, self-confidence level, level of aspirations, communicative potential); situatio
Creating Problem Taxonomies for WeBWorK in Mechanical Engineering

an Instructor and the Mech 2 Coordinator in the Department of Mechanical Engineering at UBC.Her teaching-related interests include team-based learning, flipped classroom approaches, open educational materials, and educating non-
AN ANALYSIS OF USING ENGLISH IN CLASSROOM INTERACTION (A STUDY AT THE FIRST GRADE OF A PRIMARY SCHOOL)

This research entitled: “An Analysis of Using English in Classroom Interactions (A Study at the First Grade of a Primary School)” to investigated the practice of using English in classroom interactions at the school. It is intended: 1) to identify and describe the teachers' and students' perceptions on the use of English in classroom interactions; 2) to identify, describe, and categorize the techniques of teaching English used by the teachers. The study reported here made use of qualitative research design as its method. It revealed that: all teachers and students regarded the practice of using English in classroom interactions as being useful in order to improve students’ English ability; in the practice of teaching English, teachers used various techniques and language exposures to students; the students’ achievement on the basis of the English syllabus shown that most of the targets in the syllabus were achieved and students could interact with teachers in simple English. However, there were some learning objectives that were not completely achieved, such as writing and reading words in English.
Improved texture reproduction assessment of camera-phone-based medical devices with a dead leaves target

Camera-phone-based medical devices (CPMDs) represent a major emerging platform for point-of-care diagnostic imaging of biological tissue. In order to evaluate degradation in texture reproduction due to visible light image processing performed by CPMDs, a method ($MT{F_{DL}}$MTFDL) involving the generation of a modulation transfer function ($MTF$MTF) based on measurements of a ‘dead leaves (DL)’ target has been proposed. In this study, we have identified discrepancies in the quantification of noise based on gray patches of the DL target as compared to the textual region. To address this issue, we have proposed an approach ($MT{F_{DL - den}}$MTFDL−den) for accurate $MT{F_{DL}}$MTFDL calculation through the use of effectively denoised DL images. Furthermore, we demonstrate that our $MT{F_{DL - den}}$MTFDL−den approach provides superior robustness to simulated noise. These findings will help establish effective standardized test methods for realistic benchtop assessment of CPMD image quality.
A Phenomenological Study on the Effectiveness of Curriculum and Course Information Packages in the Bologna Process

The aim of the present study is to analyze the School of Education and Department of Educational Sciences' curricula (program and course information packages) with respect to the Bologna process. Designed in line with phenomenology, the study focuses on the phenomenon of "the effectiveness of curricula with respect to the Bologna process". The data were collected by interviewing two separate focus groups of students and lecturers, and analyzed by using Miles and Huberman's stages. The results of the three research questions are explained in terms of preparation, implementation, follow-up and revision, and quality assurance. The results are as follows: Considering the positive aspects of the process, both lecturers and students agreed that the process eased access to information and course selection with the help of elective courses; however, all participants complained about the lack of information flow, unclear tasks and process, disbelief in the importance of the process, resistance to the preparation process, unfair work distribution, and the mismatch between competencies and courses. Lecturers also mentioned problems related to the revision and feedback processes.
PENERAPAN MODEL COOPERATIVE LEARNING TIPE SCRAMBLE UNTUK MENINGKATKAN HASIL BELAJAR SISWA PADA PEMBELAJARAN IPS KELAS VI SEMESTER II SDN 1 PUTAT GROBOGAN

This study aims to improve the ability of social studies learning outcomes in social studies learning in class VI SD Negeri 1 Putat through learning models Value Clarification Technique. This research is a classroom action research where researchers collaborate with colleagues as observers in conducting research. The research subjects were class VI SD Negeri 1 Putat students, as many as 20 students consisted of 14 male students and 6 female students. Learning outcomes of class VI students on social studies subjects increased from each action in each cycle, increasing student learning outcomes in class VI students from the results of the evaluation of the first cycle of students who completed as many as 14 people (70%), in the second cycle to 19 people (95 %). This is evident from the results of evaluations of students who completed the KKM value of the total number of students as many as 20 people the results increased. Conclusion The use of scramble type cooperative learning model can improve the ability of social studies learning outcomes in social studies learning class VI SD Negeri 1 Putat.
Strong pseudoprimes to base 2

In this work, we add an additional condition to strong pseudoprime test to base 2. Then, we provide theoretical and heuristic evidence showing that the resulting algorithm catches all composite numbers. Therefore, we believe that our method provides a probabilistic primality test with a running time $$O(\log ^{2+\epsilon }n)$$ for an integer n and $$\epsilon >0$$ . Our method is based on the structure of singular cubics' Jacobian groups on which we also define an effective addition algorithm.
Semantics for first-order superposition logic

Abstract We investigate how the sentence choice semantics (SCS) for propositional superposition logic (PLS) developed in Tzouvaras (2018, Logic Journal of the IGPL, 26, 149–190) could be extended so as to successfully apply to first-order superposition logic (FOLS). There are two options for such an extension. The apparently more natural one is the formula choice semantics (FCS) based on choice functions for pairs of arbitrary formulas of the basis language. It is proved however that the universal instantiation scheme of first-order logic, $(\forall v)\varphi (v)\rightarrow \varphi (t)$, is false, as a scheme of tautologies, with respect to FCS. This causes the total failure of FCS as a candidate semantics. Then we turn to the other option, which is a variant of SCS, since it uses again choice functions for pairs of sentences only. This semantics however presupposes that the applicability of the connective | is restricted to quantifier-free sentences, and thus the class of well-formed formulas and sentences of the language is restricted too. Granted these syntactic restrictions, the usual axiomatizations of FOLS turn out to be sound and conditionally complete with respect to this second semantics, just like the corresponding systems of PLS.
Designing Emergent Swarm Behaviors using Behavior Trees and Grammatical Evolution

Bio-inspired collectives like honeybee, ant, and termite colonies provide elegant distributed solutions to complex collective problems like finding food sources, selecting a new site, and allocating tasks. Effective collective behaviors emerge from biological swarms through local interactions (see, for example, [7, 17, 19]).
The UAV control approach by using multi agent systems

The Unmanned Aerial Vehicles (UAV) are becoming more and more accessible and their applications will grow with various utility’s from military fields with specific missions to civil so that in-depth research, in which all this types of UAV’s will operate in the future airspace, has to be done via a new concept on systems centralized autonomous control system. Approach of a Multi-Agent System (MAS) used for the development of an autonomous UAV Control System is presented. In the proposed model some processes are simplified, however it is unique, and can be used as it to help UAV’s operate in the flight airspace. This system will serve many UAV users to help them work in the same defined airspace without concerns regarding safety. The proposed model is a new concept of a multi-agent system design, simulated in NetLogo software, which include the parameters necessary to function with the objective to maintaining separation.
Vision 2030 of Cloud Enterprise Resource Planning Systems (CERPS) in the Kingdom of Saudi Arabia

Saudi businesses rely on effective data management to trade along their internal and external supply (value) chains and must continually monitor and upgrade legacy data systems. To understand these processes, this study explores the experiences of six diverse Saudi firms as case studies: an air transport data system, vertical integration of global firms' subsidiaries, a value chain system, and entrepreneurs taking advantage of cloud opportunities. Rather than following the literature in focusing on the decision making steps to upgrade organizational data-based resources, this research considers how the firms integrated cloud technologies with their existing or new business models. The case studies were conducted post-implementation of cloud data projects to qualitatively assess the expectations of owners and executives of firms from their initiatives.Overall, the findings were that firms' experiences when online resulted in better integration with upstream international suppliers, greater cost control, and adapted and new business model advantages. Of the cases, two retailers and an intermediary/retail stationer used their new cloud-based data resources by expanding to online sales platforms. The largest firm was able to use its industry leadership to develop online data integration with firms through its value chains. The remaining firms were more circumspect. The data infrastructure firm merely formed a cloud sibling company to enhance its core business. The airline's industry data provider moved all its clients to cloud services, and the wholesaler similarly agreed to contract with its value chain's digital provider.This paper is presented as an introduction including the purpose of the study, a short literature review, methodology, results, comparative analysis, and conclusions. There was insufficient opportunity to provide a detailed discussion placing the cases into previous findings, although this empirical study is focussed on cloud migration outcomes rather than change factors.
ENGLISH TEACHING METHOD APPLIED BY TEACHERS IN MTs NEGERI MODEL LIMBOTO

The objectives of this research are: (1) to identify the methods that implemented in teaching English process at 7th grade of MTs Negeri 1 Kabupaten Gorontalo, (2) to know the procedures of English teaching method that implemented in English teaching process of 7th grade of MTs Negeri 1 Kabupaten Gorontalo. &#x0D; The research used qualitative descriptive method, to describe the method that implemented by the teacher in English teaching process.The subjects of this research were English teacher and the students of 7th grade. Instrument used in this research were observation, interview, and documentation. The technique of analyzing data was identifying by reducing, displaying, and drawing conclusion of the data.&#x0D; The results of this research shown that there are four types of language teaching method that used by the English teacher. Those are Discovery Learning, Total Physical Response, Communicative Language Teaching (Role Play), and Direct Method. The teacher implemented the language teaching methods by modifying the procedures of language teaching method.
МЕТОДИКА НАВЧАННЯ КОМП’ЮТЕРНОЇ ГРАФІКИ СТУДЕНТІВ ЗАКЛАДІВ ВИЩОЇ ОСВІТИ

Computer graphics is a leading component of the training of modern specialists. The article presents the model of teaching method the computer graphics based on the interconnection of several components, which are closely related in the educational process, with the choice of appropriate methods, forms and development of teaching methods aimed at forming the professional skills and development of professional work taking into account individual benefits of the student, as well as modern requirements of society and the labor market. In the proposed model of computer graphics teaching method, the following levels are identified: motivational-target, axiological, activity-procedural and reflexive-evaluation. The article emphasizes that the basis of designing the method of teaching computer graphics lies in the interconnection of several components that are closely interwoven in the educational process and associated with the choice of appropriate methods, forms and didactic means of training aimed at the formation of professional skills and the development of professional creativity taking into account the individual preferences of students, as well as modern requirements of society and the labor market.
An epic journey in sharing: The story of a young researcher's journey to share her data and the information professionals who tried to help

Sharing data can be a journey with various characters, challenges along the way, and uncertain outcomes. These “epic journeys in sharing” teach information professionals about our patrons, our institutions, our community, and ourselves. In this paper, we tell a particularly dramatic data-sharing story, in effect a case study, in the form of a Greek Drama. It is the quest of – a young idealistic researcher collecting fascinating sensitive data and seeking to share it, encountering an institution doing its due diligence, helpful library folks, and an expert repository. Our story has moments of joy, such as when our researcher is solely motivated to share because she wants others to be able to reuse her unique data; dramatic plot twists involving IRBs; and a poignant ending. It explores major tropes and themes about how researchers’ motivations, data types, and data sensitivity can impact sharing; the importance of having clarity concerning institutional policies and procedures; and the role of professional communities and relationships. Just like the chorus in greek drama provides commentary on the action, a a chorus of data elders in our drama points out larger lessons that the case study has for research data management and data sharing. Where actors in the greek chorus were wearing masks, our chorus carries different items, symbolizing their message, on every entry. &#x0D; [i] The narrative structure of this paper was inspired by the IASSIST 2018 conference theme of “Once Upon a Data Point: Sustaining Our Data Storytellers.”
Online Anomaly Detection of Transformer Vibration Based on SVDD Incremental Learning

The problems in theoretical model analysis and the lack of prior knowledge bring difficulties and challenges to the analysis of transformer by the vibration method. In this paper, an incremental learning algorithm based on support vector data description was proposed for on-line anomaly detection of transformer vibration. The anomaly detection model was established by using one-class support vector data description, the incremental data were reduced based on the Quickhull algorithm to achieve quick incremental learning. The simulation results of measured transformer vibration showed that the proposed method could quickly learn new samples and accurately capture transformer vibration changes.
A Neural, Interactive-predictive System for Multimodal Sequence to Sequence Tasks

We present a demonstration of a neural interactive-predictive system for tackling multimodal sequence to sequence tasks.The system generates text predictions to different sequence to sequence tasks: machine translation, image and video captioning.These predictions are revised by a human agent, who introduces corrections in the form of characters.The system reacts to each correction, providing alternative hypotheses, compelling with the feedback provided by the user.The final objective is to reduce the human effort required during this correction process.This system is implemented following a client-server architecture.For accessing the system, we developed a website, which communicates with the neural model, hosted in a local server.From this website, the different tasks can be tackled following the interactive-predictive framework.We opensource all the code developed for building this system.The demonstration in hosted in http://casmacat.prhlt.upv.es/interactive-seq2seq.
Two applications of number theory to discrete tomography

Tomography is the theory behind scans, e.g. MRI-scans. Most common is continuous tomography where an object is reconstructed from numerous projections. In some cases this is not applicable, because the object changes too quickly or is damaged by making hundreds of projections (by X-rays). In such cases discrete tomography may apply where only few projections are made. The present paper shows how number theory helps to provide insight in the application and structure of discrete tomography.
Enhanced Radon Transform Skew Estimation And Correction Algorithm For Scanned Multiple-Choice Forms

As an extension of our previous work this paper presents an enhanced skew estimation and correction algorithm for multiple-choice (MC) forms. It involves a synergy of the Radon Transform with high precision hit-and-miss algorithm in determining the amount of skew in MC form images, prior to optical mark recognition (OMR) which require properly aligned text lines and edges. As other existing Radon transform based techniques resolve to determining skew angles based on only a single peak regardless of its efficacy, the proposed algorithm first detects the nature of the form (either standard OMR or customized design) and then automatically optimize the selection process for the number of peaks necessary for the estimation of the correct skew. Skew in this context refers to the tilt or in-alignment of edges in degree which is neither parallel nor at right angles to a specified or implied boarder. It is therefore essential to detect and correct the skew at the pre-processing stage in order to avoid perturbation of skew during further processing and extraction of answers. Experiments on various form designs were conducted and an overall accuracy of 98.9% across all experiments has been achieved which shows the superiority of the proposed algorithm. Furthermore, a comparative analysis with other reported algorithms has been made to prove the efficacy of the proposed technique. This technique works well in correcting the skew even with lower resolution images and on those with background variations such as blurring, thus in-line with the future use of phone camera images.