Reviewerly/exHarmony huggingface dataset:
A Framework for Technically- and Morally-Sound AI

Artificial Intelligence (AI) ethics is by no means a new discipline; thinkers like Asimov and Philip K Dick laid the foundations of this field decades ago. Both then and today, popular dilemmas in AI ethics largely focus on artificial consciousness, artificial general intelligence, autonomous weapons, and some version of the trolley problem. While these thought experiments may prove useful in the future, modern AI applications that are in use today raise ethical dilemmas that require urgent resolution. Public outcry in response to AI in health care, criminal justice, and employment highlight the urgency of the matter. These real and imminent ethical challenges posed by AI form the basis of my dissertation research. In particular, I focus on domains where AI is necessary or inevitable -- such as kidney exchange and medical image classification -- and ethical challenges are unavoidable.
Secure File Transfer Protocol for Named Data Networks Supporting Homomorphic Computations

Not only does Named Data Network (NDN) provide a higher performance than TCP/IP network, but also it can cope with the problem of limited IP addresses. Currently, some scholars have proposed a secure file transfer protocol, which is based on re-encryption for NDN, to ensure that files can be safely transferred between nodes or users. On the other hand, because of the popular craze of saving files on Cloud, the security of Cloud is in vogue. However, numerous of jobs must be done if the user wants to calculate encrypted files on Cloud. Furthermore, the process will make files exposed in danger for a long time. By using Homomorphic Encryption, we can perform operations of the encrypted files on Cloud, and the operations will be finished by Cloud. In this paper, we provide secure operations for a file transfer protocol based on homomorphic re-encryption for named data networks. Our scheme fuses the advantages of NDN, Homomorphic Encryption, and Re-Encryption. It is a low energy consumption system which offers transmission safety and handy calculation.
The Effect of Using Mobile apps on the Acquisition of Conditional Sentences among Iranian Intermediate EFL Learners

Nowadays, there has been an increasing interest in the integration of technology in pedagogical purposes. This study was an attempt to delve in to the impact of a mobile application (Cushy Grammar) on the learning of conditional sentences (type1, 2 and 3) among Iranian intermediate EFL learners in Rooyesh institute in Isfahan. To this end, a group of 75 intermediate EFL learners were non-randomly placed in three groups. The participants were assigned in two experimental groups, namely Application learning (N=25), Blended learning (N=25), and one Control (N=25).The participants of the Application learning received materials and instructions merely through the app. In the second group, the Blended-based, the participants received traditional teaching methods of grammar (conditional sentences) plus learning via the app. Participants of the control group, however, were taught based on the traditional teaching methods of grammar and received the materials, instructions, and feedback through traditional methods. Data were analyzed using a one-way ANOVA and paired sample t-test to examine the impact of the App learning, Blended learning, and traditional method on the learning of conditional sentences. The results unraveled that the participants of the Application group outperformed two other groups in their learning of conditional sentences. Having a more meticulous look at the results, it was observed that participants of the Control group had a lower performance compared to the experimental groups in the post-test. The results revealed that employing an application learning method could create an appropriate condition to enhance the EFL learners’ acquisition of conditional sentences.
A Study on the Development of a Usefulness Scale for Early Childhood

본 연구는 유아의 유용성 신장을 위해 디자인 교육과정에서 유용성의 구성요소를 파악하고 이를 기초로 유아의 유용성 척도를 개발하여 척도의 타당성을 알아보고자 하였다. 이를 위하여 2개의 척도영역과 30개 문항을 선정하고, 경북 경남 유치원 교사, 어린이집 교사 250명을 대상으로 설문을 실시하여 211부로 척도의 양호도를 분석하였다. 그 결과, 첫째, 문항 양호도에서는 평균(M>4.5, M<0.5)이 지나치게 작은 표준편차(SD<.50)를 보이는 문항은 없는 것으로 나타났으며, 문항 변별도에서는 모든 문항이 상 하위 집단 간 유아 유용성 수준에 통계적으로 유의미한 차이가 있는 것으로 나타났다(p<.001). 둘째, 척도 양호도를 알아보기 위한 탐색적 요인분석에서는 이론적 하위개념 척도인 ‘실용적 표현능력’, ‘개인적 배려’ 및 ‘집단적 배려’와 상응하였으며, 선택된 문항은 총 분산에 대한 60%이상의 충분한 설명력을 보여 구인타당도가 매우 적절하게 나타났다. 확인적 요인 분석을 통해 모형 신뢰도와 적합성을 검증한 결과에서는 모형 적합성 TLI 및 CFI 지수 모두 .90 이상으로 나타났으며, RMSEA는 90% 신뢰구간 상한 <.10 으로 높은 것으로 나타났다. 또한, 유아 유용성 척도 모형의 전체 신뢰도는 Cronbach α계수 .92로 높은 신뢰도를 보였으며, 각 구성요인들의 신뢰도 역시 Cronbach α계수 모두 .86 이상으로 나타나 높은 신뢰도를 가진 것을 확인되었다. 따라서 본 연구의 유아 유용성 척도는 유아의 유용성을 종합적으로 평가하기에 양호한 척도로 나타났다.The purpose of this study is to develop usefulness scale early childhood in the design education process. To achieve this, previous studies and literature related to usefulness were analyzed, and preliminary questions about usefulness were selected. After the questions were reviewed and revised by early childhood education experts, two scale areas and 30 questions were selected. To determine fitness of usefulness and adequacy of scale fitness in the 30 questions, a questionnaire survey was conducted with 250 teachers working at kindergartens and day-care centers in Gyeongsangbuk-do and Gyeongsangnam-do. Rejecting responses with insincere answers, 211 questionnaires were analyzed. As a result, question reliability and adequacy which are used to determine question fitness, had a mean of(M>4.5 and, M<0.5), but there were no questions with a standard deviation that was too small (SD<.50). In terms of the discrimination of questions, all questions had statistically significant differences in the level of child usefulness between highand low-ranked groups (p<.001). Secondly, according to the exploratory factor analysis on scale fitness, three factors in the questions for assessing usefulness were equal to the theoretical lower-concept scale: “practical expression ability”, “personal consideration”, and “collective consideration”. The selected questions had enough explanatory power (more than 60% for variance) so that construct validity was very appropriate. According to the confirmatory factor analysis on model reliability and goodness of fit, the Tucker-Lewis index(TLI) and comparative fit index (CFI) were more than .90 and the upper limit of the root mean square error of approximation (RMSEA) was <.10 at the 90% confidence interval. Therefore, the scale is expected to be used for early childhood more consistently importantly in the future.
Two-Dimensional TRUS Image and Three-Dimensional MRI Prostate Image Fusion System

In the diagnosis of prostate disease, urologists examine the presence of fibrosis or tumors in the prostate tissue of patients by magnetic resonance imaging (MRI) and transrectal ultrasonography (TRUS). In general, urologists will imagine the location of fibrosis or tumors in 3D space. To resolve this a fusion algorithm for three-dimensional (3D) prostate magnetic resonance imaging (MRI) and 2D TRUS was developed. Fiducial registration error was employed in this study to evaluate the registration error of the upper half contour. Experiments showed that the proposed method achieved good fusion results. The system can further guide urologists in the performance of TRUS for tissue biopsy or high intensity focused ultrasound (HIFU).
RingBoard 2.0 – A Dynamic Virtual Keyboard Using Smart Vision

Computers have evolved throughout the digital era becoming more powerful, smaller, and cheaper. However, they are still lacking basic accessibility features that appeal to all users. They can be controlled with your voice and eye movement, but there is still much work to be done. This paper presents RingBoard 2.0, a dynamic virtual keyboard that uses computer vision to recognize and track hand movements and gestures. It allows for basic input to a computer using a web camera. This application was built to provide additional accessibility features for those who experience tremors or limited motor capability in their hands, which make it difficult to interact with a standard keyboard and mouse. At the core, it is built to recognize any form of a hand and can accurately track it, regardless of sporadic movement. This paper is an extension of previous work describing touch input for a computer using the HP Sprout [2].
SAPIAS concept

Per-Instance Algorithm Selection and Automatic Algorithm Configuration have recently gained important interests. However, these approaches face many limitations. For instance, the performance of these methods is deeply influenced by factors like the accuracy of the underlying prediction model, features space correlation, incomplete performance space for new instances, instances sampling and many others. In this paper, an effort to address such limitations is described. Indeed, we propose a cooperative architecture, labeled as the "SAPIAS" concept, composed of a self-adaptive online Algorithm Selection system and an offline Automatic Algorithm Configuration system, working together in order to deliver the most accurate performance. Additionally, SAPIAS is proposed as a methodic concept that the metaheuristics community might adopt to fill in the gap between theory and practice in the field, by providing for theoreticians the ability to continuously analyze the evolution of the problems characteristics and the behavior of the solving techniques as well as providing a ready to use solving framework for practitioners.
Geoinformation analysis of satellite images of the Vrancea seismic active zone

Summary The Vrancea seismic zone (Romania) is analyzed in order to find spatial interconnections between the localization of earthquake epicenters and objects identified on satellite images – lineaments, brightness boundaries, and circular structures. It was found that the Vrancea seismic zone differs from many other seismically active areas since its earthquakes are controlled, mainly, not by linear, but by circular structures.
Chapter 5. Managing and Preserving Digital Research Data

Until relatively recently, scientific data has mostly been captured in paper notebooks or on paper forms. With the proliferation of digital technologies has come an even greater proliferation in the amount of scientific data produced and that subsequently needs to be managed. Although there are some challenges in managing data in paper-based form, there are significantly larger challenges in managing data in both paper and digital format. There is also an increasing desire for scientific data to be shared more widely in order that research can be validated and data reused. Both the creators and users of scientific data need to be able to find the data and then make sense of it in order to use it. In this chapter, we will discuss the issues and challenges around research reproducibility, and how data management practices can help. We discuss the role of metadata, standards, identifiers, and provenance in data curation and their importance for discoverability and reuse. We also look at the vulnerability of digital data and the steps that need to be taken to ensure that data is preserved for future access and reuse.
Study on Product Name Disambiguation Method Based on Fusion Feature Similarity

Analyzing and processing the data of product quality safety supervision and spot check is the key to maintain healthy and sustainable development of products, because the data sources are extensive. In view of the ambiguity of product names in the data, a method based on fusion feature similarity is proposed, which disambiguates product names using features such as manufacturer name-related information, product-related information, topic-related information, and so on. Experiment results show that the proposed method is effective for product name disambiguation.
Technology Assessment: Exploring Possibilities to Encounter Problems Faced by Intellectual Property through Blockchain

A significant discussion on the topic of blockchain as a solution to the issues of intellectual property highlights the relevance that this topic holds. Some experts label this technology as destructive since it holds immense potential to change course of traditional practices. The extent and areas to which this Technology can be of use are still being researched. This paper provides an indepth review on the intellectual property and blockchain technology. Further it explores what makes blockchain suitable for intellectual property, the practical solutions available and the support diferent governments are offering. This paper further studies the framework of universities in context of its outputs and how can they be streamlined using blockchain technology. The paper concludes by discussing some limitations and future research question.
Minimum spanning tree-based clustering of large pareto archives

In this paper we propose the use of Minimum Spanning Tree-based clustering to recursively cluster large sets of potentially Pareto-optimal solutions. We present preliminary results for the multiobjective traveling salesperson problem. The clustering is based on the distances between solutions defined in the decision space but it generates clusters that correspond to clearly defined regions in the objective space.
Teaching Reading Through Predicting Words Using Communicative Language Teaching At Smpn 6 Tangerang Selatan

The purpose of this study was to discuss teaching reading through predicting words using communicative language teaching (CLT) done in SMPN 6 Tangerang Selatan. The theory which is used to analyze the study is Allen (2000) and Richard (2006). Besides, this study also describes the activities that happened in SMPN 6 Tangerang Selatan and how the teacher applied communicative language teaching in teaching reading through predicting words. Subsequently, in this study, the writer used qualitative method to analyzed data. From the data analysis, it was found that the material is familiar with the student. The activities are communicatively and the result of the test is very good. From the questionnaire, it was also found that they enjoy learning in the class. And also from interview, it was found that teaching reading through predicting words are interesting.Keywords : Reading, Predicting words, CLT, Qualitative
Interaction Paradigms for Air Traffic Control and Management in Mixed Reality

Mixed reality world overlays the real world with the 3D virtual objects. It provides 3D user interfaces placed within real world for better user interaction and operability. Hence making its way to a huge number of fields. This paper introduces the novel approach of controlling the air traffic using mixed reality’s interaction mechanisms. Conventional user interfaces within control tower are hard to understand and could not provide better picture about various situations at airport and the traffic in air. This system provides the holographic displays for viewing the 3D information of air traffic from any angle in the mixed reality world. It provides view of multiple information and switching among them from a single see-through display which reduces the required number of computer screens at control tower. It also enables controllers to remotely control air traffic from any distant location with the help of a head mounted mixed reality display.
Equirectangular Image Quality Assessment Tool Integrated into the Unity Editor

Equirectangular images are captures in 360 $$^\circ $$ of user surroundings. Virtual reality applications provide immersive experience when using this type of media. However, in order to develop a 360 viewer it is necessary to choose among different media formats, resolution configurations and texture-to-objects mappings. This work proposes to develop a tool integrated into Unity editor to automatize the quality assessment of different settings of 360 image visualization. Using objective metrics, we compare the UV mapping of a procedural sphere, a Skybox rendering and a Cubemap.
How to define and test explanations in populations

Solving applied social, economic, psychological, health care and public health problems can require an understanding of facts or phenomena related to populations of interest.  Therefore, it can be useful to test whether an explanation of a phenomenon holds in a population.  However, different definitions for the phrase “explain in a population” lead to different interpretations and methods of testing.  In this paper, I present two definitions:  The first is based on the number of members in the population that conform to the explanation’s implications; the second is based on the total magnitude of explanation-consistent effects in the population.  I show that claims based on either definition can be tested using random coefficient models, but claims based on the second definition can also be tested using the more common, and simpler, population-level regression models.   Consequently, this paper provides an understanding of the type of explanatory claims these common methods can test.
Influence of Health-related Flipped Learning Classes on the Academic Characteristics of High School Students

본 연구의 목적은 건강 관련 수업에서 거꾸로 수업모형을 개발하고 적용하여 그 효과를 검증하기 위함이다. 연구대상은 우리나라 B시의 S고등학교에 재학하는 2학년 학생 114명이며, 연구기간은 2017년 9월 15일부터 2017년 10월 30일까지였다. 수집된 자료는 SPSS Win 24.0 프로그램을 이용하여 통계처리 하였다. 거꾸로 수업 전, 실험군과 대조군의 일반적 특성 및 학업 관련 특성의 동질성은 카이제곱 검정과 독립표본 t-검정으로 분석하였다. 4주간의 거꾸로 수업 후, 실험군과 대조군의 학업성취도, 학습동기, 학업적자기효능감과 수업만족도 평균의 차이는 독립표본 t-검정으로 분석하였다. 연구결과, 건강 관련 거꾸로 수업 후 학업성취도는 실험군과 대조군 간에 통계적으로 유의한 차이가 없었다. 학습동기와 학업적자기효능감, 수업만족도는 실험군과 대조군 간에 통계적으로 유의한 차이를 보였고, 각각 학습동기는 대조군 3.23점, 실험군 3.87점(t=1.754, p=0.001), 학업적자기효능감은 대조군 3.17점, 실험군 3.76점(t=2.868, p=0.001), 수업만족도는 대조군 3.52점, 실험군 4.12점(t=1.247, p=0.027)이었다. 이러한 결과에 따라 추후 연구에서는 학업성취도를 올릴 수 있는 방법적인 면을 고려할 필요가 있고, 건강 관련 다양한 주제의 콘텐츠를 만들어 한 학기 동안 수업을 시도하여 지속적인 변화를 살펴보는 시도가 필요하다. 또한, 고등학생외에도 학령별 대상자 특성에 맞는 거꾸로 수업모형을 개발하여 그 효과를 검증하는 시도가 필요하다.The purpose of this study was to develop and apply the flipped learning instruction model in the health subject class to verify the effect. The subjects of this study were 114 second - year students in S high school in B city. The study period was from September 15, 2017 to October 30, 2017. The collected data were statistically processed using SPSS Win 24.0 program. Prior to the flipped learning class, the homogeneity of the general and academic characteristics of the experimental and control groups was analyzed by the chi-square test and the independent samples t-test. Result of the study, there was no statistically significant difference between the experimental group and the control group in academic achievement after flipped learning. Learning motivation, academic self-efficacy, and learning satisfaction were statistically significant between the experimental group and the control group. These results suggest that future research needs to consider the methodological aspects of improving academic achievement, and it is necessary to attempt to make continuous changes by attempting classroom activities during one semester by creating contents on various topics related to health. In addition, it is necessary to develop a flip learning instruction model suitable for the characteristics of the subjects in each school age and to verify its effects.
Research on a Color Image Encryption Algorithm Based on 2D-Logistic

With the development of network and communication technology, image encryption has become the necessary information security research problems. In this paper, 2D-logistic chaotic sequence image encryption algorithm is adopted, which can achieve image encryption easily and quickly, and ensure the security of image encryption results through the excellent properties of chaotic sequence. Before using the image encryption algorithm, the image should be processed. Because the color image is composed of a primary color matrix, it is divided into R, G, and B color components. Each color component matrix is composed of the value of the pixel matrix, and its value range is also between 0 and 255. The common color image encryption algorithms fail to fully consider the internal relations between the color components of RGB and have weak resistance to statistical analysis. In order to further enhance the degree of image scrambling and encryption security, a new color image encryption algorithm is proposed based on chaotic scrambling.
Designing a site-directory of web resources for a teacher of informatics

The article is devoted to the study of the process of creating and designing a site-catalogue of modern web resources for its usage by informatics teacher in his professional activities. Site Directory is a site that contains structured links that lead to other web resources and their short description. Web resources offer wide opportunities for a teacher and students, give access to a large array of relevant diverse information, and its rapid exchange during the lessons of computer science. The article covers the analysis of such concepts as "designing", "information architecture", "style in the design of the site". There were analyzed the draft order of the Ministry of Education and Science of Ukraine and sites that promote the preparation of teachers for lessons, get them acquainted with modern information and communication technologies in education. The general theoretical foundations of web site creation are considered: their types, structure, methods of data storage and processing. Besides, the key principles of designing web resources are described. The information architecture and its components are described in detail. The design process is described in the general sense as well as one of the stages of creating a website. Proper attention has been paid to the study of web design, its principles and features, and the user interface; its main elements, components and structural blocks and rules of their use were considered. The practical significance of this study is that it can be used for a full design a website-catalog of web resources for informatics teachers.
Designing a History Tool for a 3D Virtual Environment System

The aim of this paper is to design a history tool for a 3D virtual environment system using hand interaction. This system would require a new history tool because it creates a different user experience from existing 2D applications. We discuss two challenges for designing the history tool: user needs and interfaces. First, we explore the user needs for a history tool, assuming that the characters’ intent to return to the past in time-travel films is analogous to the reasons for changing previous commands using a history tool in a 3D environment system. We analyze time-travel films and then define three design concepts of a history tool. Second, we ideate possible interfaces for a history tool considering hand-based object manipulation. We present the interface types using hands, other body parts, and an additional device. We also discuss the opportunities and constraints of each type. Combining these two discussions, we propose ten design ideas for a history tool in a 3D virtual environment system that provides hand-based interaction. The results of the pilot survey suggest that the history tool design concepts derived from time-travel films would be relevant to the history tool in 3D virtual environment systems.
DNA Genetic Recombination based Image Encryption using Chaotic Maps

In this paper, a new encryption algorithm is proposed for grey scale image. The proposed algorithm consist of two main stages: the DNA stage and the chaotic map stage. In the DNA stage, each pixel in plain image can be represented by four nucleotide bases by carrying out DNA coding and decoding to produce the plain image in DNA strands form. While chaotic stage exploits the Lozi Map, Logistic Map and Clifford system in keys generation to be used in the substitution, genetic recombination and permutation processes respectively. Accepted key space and sensitive key are gained by the proposed method, and the evaluation of the algorithm illustrate it has high effectiveness to resist exhaustive statistical attack.