Reviewerly/exHarmony huggingface dataset:
The Role of Control Source and Risk Perception in Predicting Driving Behavior of Young Taxi Drivers in Karaj

The purpose of this study was to investigate the role of control source and risk perception in predicting the behavior of taxi drivers in Karaj. The research method was descriptive-correlation. The statistical population of this study was all 718 young taxi drivers in the city of Karaj. According to the Cochran formula at the level of 0.05, 250 young taxi drivers in Karaj were selected by available method. Data gathering tool was Manchester Driving Behavior Questionnaire, Rutter Control Source Questionnaire and Randemo and Avereson Risk Perceptions Inventory. Data were analyzed using Pearson correlation and linear regression and stepwise regression. The findings showed that there is a significant relationship between control source and risk perception with driving behavior of young taxi drivers, and the control source, risk perception, and personality traits are predictive of driving behavior of young taxi drivers which these results point to cognitive and excitement emphasis in social normative behaviors.
The Innovation Economy as an Institution: UNESCO’s effect on the Expansion of Innovation

The predominant notion of national innovation systems tends to see innovation potential as determined by country-specific characteristics. Thus, many of the most popular frameworks for modeling innovation focus on identifying factors that make the domestic environment ripe for innovation, such as whether a country has the right combination of sponsoring governmental agencies, intellectual property rights protection, and private sector competitiveness. In this paper, I propose that the adoption of an innovation-based economy across different countries can also be conceptualized as a model of business and economic activity that spreads and diffuses throughout the world. In this sense, innovation can be conceived as what organizational neo-institutional theorists would call an institution. More specifically, I study whether the normative efforts of UNESCO to urge countries to be more innovative have had any effect. To this end, I put together a panel of innovation-related data of 132 countries, from 1996 to 2012. Extracting data from several sources such as UNESCO, the World Bank, and the Polity IV database. Statistically, I employed synthetic control and negative binomial models to test whether there is an effect and whether said effect is heterogeneous across countries in different regions of world. Results show that complying with UNESCO’s innovation model has had a positive effect on innovation output. However, such output is being differentially delivered across the globe, suggesting the presence of ceremonial adoption or decoupling.
AHP 분석을 활용한 시니어계층의 창업의지에 영향을 미치는 요인들 간의 중요도에 관한 연구

Recently, the proportion and importance of senior start-up with experience and infrastructure have been increasing, and various start-up support policies have been tried. The purpose of this study is to propose the importance and priorities of the factors influencing seniors'' entrepreneurial intention using AHP analysis. To this end, 99 students from start-up schools in capital area were surveyed, and valid responses of 38 students verified both reliability and CR were analyzed. In addition, a comparison was made by a group according to age and start-up experience.The results of this study are as follows; First, importance ranking that affects the intention of start-up was in the order of entrepreneurship, start-up support, and social recognition. Second, in terms of age group comparison, start-up support was the most important factor under 50 years old, but over 50 years old, entrepreneurship was the most important. Third, start-up support was chosen to be the most important factor by the group with no experience in start-up, while entrepreneurship was the most important in the group with experience in start-up
IMPLEMENTATION OF THE IOT AND CLOUD TECHNOLOGIES IN EDUCATION SYSTEM

The Internet has evolved from connecting people and later videos, photos, and text to more recently physical objects. Using sensors, physical objects can “talk” (transmit data) to each other and even command each other to perform a physical act. As things and people become more connected, such objects will also become part of social net-works, much in the same way that people tag photos on Facebook. In this way, the value of such objects will increase for both research and learning[12]. The IOT and Cloud computing technologies can provide solutions for the above-mentioned problems in the education system. Cloud computing enables users to control and access data via the Internet. The main users of a typical higher education cloud include students, faculty, administrative staff, Examination Branch and Admission Branch. All the main users of the institution are connected to the cloud. Separate login is provided for all the users for their respective work[12]. Teachers can upload their class Tutorials, assignments, and tests on the cloud server which students will be able to access all the teaching material provided by the teachers via the Internet using computers and other electronic devices both at home and college and 24X7. This paper focuses on the integration of Cloud and IOT for the education system. Connected de-vices can help make life easier for students with special needs. Many of the daydreams for IOT in education involve students taking advantage of new technologies to com-plete cool new projects.
Co-creating libraries?

KEYNOTE SPEECH.&#x0D; Co-creation is receiving increasing interest as a way to involve users in the design and development of goods and services in many areas of life, including libraries. The concept of co-creation challenges established roles and relationships between “producers” and “consumers” of services by suggesting that neither the producers nor the consumers are able to create appropriate services alone, rather services should be co- created, i.e. created together. Thus, while co-creation as a term is new, the basic idea is not. It draws on normative ideals with an impressive intellectual heritage, such as democratic citizenship and civil society. &#x0D; In his talk, Christian will sum up on what we know about co-creation and discuss its relevance for the library landscape. The discussion centers around the question: Who should be drawing the map of the library landscape?
NumLin: Linear Types for Linear Algebra

We present NumLin, a functional programming language whose type system is designed to enforce the safe usage of the APIs of low-level linear algebra libraries (such as BLAS/LAPACK). We do so through a brief description of its key features and several illustrative examples. We show that NumLin's type system is sound and that its implementation improves upon naive implementations of linear algebra programs, almost towards C-levels of performance. By doing so, we demonstrate (a) that linear types are well-suited to expressing the APIs of low-level linear algebra libraries accurately and concisely and (b) that, despite the complexity of prior work on it, fractional permissions can actually be implemented using simple, well-known techniques and be used practically in real programs.
A controlled multi-party quantum dialogue protocol in the network

A controlled multi-party quantum dialogue scheme in the network based on high dimensional multi-qudit entangled GHZ states is proposed. In our scheme, a semi-honest third party (TP) is introduced to assist the implementation of the scheme. Each user can be thought of as one node in the network and is connected by classical links and quantum links. In the network, multiple users can exchange their private messages with each other simultaneously under the control of TP. With the aid of secure classical channels and quantum channels, the proposed protocol can be ensured with unconditionally security. In addition, our protocol requires single-qudit measurements only which weakens the hardware requirements of network nodes. Compared with previous quantum dialogue protocols, our scheme demonstrates a large operating flexibility.
General Purpose Technology: The Blockchain Domain

Blockchain is an emerging evolutionary paradigm expected to revolutionize existing business models in many industries and to impact the world economy and society. Its potential pervasiveness is increasingly drawing the interest of academics, practitioners, firms, financial institutions as well as national governments, who define it as a general purpose technology (GPT). Although it may take considerable time to affirm a technology as general, in this phase of evolution of the blockchain domain, to what extent can it be considered a GPT? This paper aims to disentangle technology dynamics by unveiling and mapping blockchain technology structure, evolution, and future trends. We propose a framework that distinguishes three different structures: (1) the 'core structure' that encompasses the most relevant technological elements of the domain; (2) the 'supportive structure' that supports the 'core structure' and improves the overall efficiency of the infrastructure including the different aspects; and (3) the 'complementarity structure' that brings tailor-made solutions enabling the GPT field. We use a network-based perspective and examine blockchain international patents issued from 2008 to 2018. Our study contributes to the technology innovation literature by uncovering the emergence and evolutionary dynamics of a GPT, and our results provide an empirical basis on which managers can build technology-related decisions and systems to enable appropriate firms' innovation strategies.
Preference Attributes of Foreign Infant Education Materials

Purpose – There is little research on the market of foreign infant education materials. So, it is needed to deeply examine the development...
The Effectiveness of Integrating Mobile Devices on the Performance of Iraqi EFL Students’ Listening and Speaking

Mobile devices such as laptops, personal digital assistants, and mobile phones have become a learning tool with great potential in both classrooms and outdoor learning .Although there have been qualitative analyses of the use of mobile devices in education, systematic quantitative analyses of the effects of mobile-integrated education are lacking .This study performed a meta-analysis and research synthesis of the effects of integrated mobile devices in teaching and learning, in which 110 experimental and quasi experimental journal articles published during the period 1993e 2013 were coded and analyzed. Overall, there was a moderate mean effect size of 0.523 for the application of mobile devices to education. The effect sizes of moderator variables were analyzed and the advantages and disadvantages of mobile learning in different levels of moderator variables were synthesized based on content analyses of individual studies. Mobile computers have gradually been introduced into educational contexts over the past 2 decades. Mobile technology has led to most people to carry their own individual small computers that contain exceptional computing power, such as laptops, personal digital assistants (PDAs), tablet personal computers (PC), cell phones, and e-book readers. This large amount of computing power and portability, combined with the wireless communication and context sensitivity tools, makes one-to-one computing a learning tool of great potential in both traditional classrooms and outdoor informal learning.
Using functions in SQL

There’s more to SQL than reading the data that’s stored in the table. You’ll often need to manipulate it or perform calculations on it. That’s where functions come in.
The Product Yield Potential Radar

This chapter introduces a novel and “business” tested way to structure the vital dimensions of Software Product Management. You will learn how to create focus and alignmentAlignment on the things that matter for product success that product managers and product teams must master day to day. You will learn about the Product Yield Potential Radar and how this framework can drive an ongoing discipline that helps the whole product team and product organization to We will cluster all important Software Product Management activities into six dimensions. We will examine and detail each dimension by defining for each dimension, the tasks and items that are important to achieve the product’s full potential. Then we will look at how all dimensions together define and limit the yield potential of a software product. We will further examine how to agree and define for each stakeholder the role and responsibilities within each Software Product Management dimension.Additionally, I will introduce the law of the minimum and the law of tolerance that together illustrate how well product managers can use the Product Yield Potential Radar to recognize the limiting factorsLimiting factor of product success. We will leverage the knowledge and insights from other research disciplines to improve our understanding of managing software products, from the initial idea to market leadership.
Aplikasi Evaluasi Perkembangan Latihan Atlet Panahan Menggunakan Progressive Web Application

Arrihu Archery is one of the archery clubs in the city of Mataram. Before taking the test to increase the level, participants will take part in the stabilization exercise in preparation for the exam. The problem faced was that the exercise carried out took a long time and the trainers had difficulty in monitoring the progress of the participants. This writing aims to accelerate the exercise and make it easier to monitor the training of participants. Therefore, it is necessary to build an Application to Evaluate the Development of Archery Athlete Exercises using Progressive Web Application. The design of this system is done by the waterfall methodology, which is a system development method that begins with planning, system design, making Web Service APIs, and creating Service Workers in the Progressive Web App application. The results that have been achieved in this study are the creation of applications to assist the stabilization training process and assist in monitoring the progress of trainees. This application is able to cache and be able to display pages offline. This application runs well on the google chrome browser version 43+
Artificial Intelligence, Virtual Reality and Computer-Driven Storytelling

News reflects reality. We tell the public what has happened. We explain why it happened. We tell our audience what may happen next. We visualize what happened. Through words, sounds and images, we transport them to the place where it happened.
Intracranial aneurysm detection and morphologic analysis based on three-dimensional angiographic images

Intracranial aneurysms affect approximately 3.2 % of the general population. It is estimated that 20-50 % do rupture during a person's lifetime. Clinical meta-analyses suggest that larger aneurysms should be treated by neurosurgery as soon as possible, while for small aneurysms the risk of complications during treatment is higher than the risk of rupture. Therefore, early detection and longitudinal monitoring are very important to determine the best treatment option. With the aim to enable early detection and follow-up imaging based monitoring of the aneurysms as a novel rupture risk mitigation paradigm, this thesis is concerned with the development and validation of two computational methods: (1) intracranial aneurysm detection from clinical grade angiographic images using a novel projection-detection-reconstruction approach and (2) intracranial aneurysm growth detection and morphology change characterization from baseline and follow-up imaging using a novel shape deformation algorithm.The detection of intracranial aneurysms was performed on 30 3D DSA images, where following a 3D to 2D digitally reconstructed radiography a convolutional neural network with a U-net architecture was applied for aneurysm detection. Next, the reconstruction step restored the detection probabilities in the original 3D image space thus allowing to highlight potential aneurysms and perform the detection. The approach succeeded in detecting 82 % of all aneurysms on training set and 75 % of all aneurysms on the validation set. The obtained results show that, despite the small number and variety of training datasets, deep learning techniques may be used to address the problem of aneurysm detection. Second set of methods involved longitudinal aneurysm shape analysis, for which we have developed an iterative mesh to mesh deformation (IMTMD) algorithm so as to compensate all the morphologic differences between the baseline and follow-up aneurysm shapes. By analyzing the obtained deformations we have proposed novel morphologic features such as median path length, differential volume and surface area and integral of cumulative deformation distances (MPL, dV, dSA and ICDD). The ability to detect a growing aneurysm was evaluated and compared to clinical-standard cross-sectional measures. It was established that the proposed features based on longitudinal imaging and analysis using the IMTMD algorithm achieved better area under the receiver operating characteristic curve (AUC-ROC) and p-value according to Mann-Whitney U-test than currently established cross-sectional features. The proposed computational tool seems to readily address the posed clinical needs and was designed such that it can be easily adopted in the current health care workflow.
Survey Paper on New Approach to Location Recommendation Using Scalable Content-Aware Collaborative Filtering

The Location recommendation playing a important role for finding interesting places. Although recently researching he has advise places and provide information using socially and geographically, some of which have dealt with the problem of starting the new cold user. The Records of mobility shared on a social networks. Collaborative content-based filters based on explicit comments, but require a negative design sample for a improving performance. negative user preferences not observable in mobility records. However, In previous studies that sampling-based methods and this method does not work well. A Propose system based on implicit scalable comments Content-based collaborative filtering framework is used to avoid negative sampling and incorporate semantic based contents. Algorithm of Optimization is used to major in a linear fashion with the dimensions of the data and the dimensions of the features, dimensions of latent space is represent in a quadratic way. Also established relationship with factorization of the plate matrix plating. Personalized recommendation recommends the Point Of Interest routes by mining users travel records. Finally, evaluated ICCF framework with large-scale Location Based Social Network data set in which users have text and profiles.
Spectral Interpretation of Magmatic Evolution, Oxidation, and Crystallinity in a Volcanic Planetary Analog System

Volcanic surfaces are common and varied throughout the terrestrial planets. Remote spectroscopy is often the only method for determining surface chemistry and mineralogy of such provinces, and is thus critical for understanding petrologic processes and constraining planetary interior evolution and chemistry. Natural volcanic systems exhibit variability in magmatic chemical evolution, crystallinity, oxidation, and eruption-related alteration (e.g. hydrothermal). The extent to which spectroscopy can identify these characteristics alongside each other is thus a key question for interpreting volcanic processes from orbit. While the effects of each of these on visible/near infrared (VNIR) and thermal infrared (TIR) spectra of igneous rocks has been studied separately to varying degrees, their combined spectral effects (and interpretability of such spectra) are understudied.
Visual Models and Ontologies

Realistic computer graphics will change the way people think and communicate. Achieving deeper success as a ubiquitous medium will require a more resonant understanding of visual modelling that must embrace mathematical, philosophical, cultural, perceptual and social aspects. With an interleaved understanding, people will be able to create visual ontologies that better align to their expressive needs. In turn, this will naturally lead to ubiquitous supporting technologies. First we need good visual models. A model induces an ontology of things that inevitably omits aspects of the phenomenon, whether desired or not. Thus modelling a model's incompleteness is crucial, for it allows us to account for artifacts, errors, and ontological surprises such as the uncanny valley. Over the years, my choice of tools to model models has been mathematics. In this paper, I will speak to how little progress we have made and how much broader our investigation must be.
An enhanced method to mine rare item sets using multiple item sets support based on cp-tree

An enhanced method to mine rare item sets using multiple item sets support based on cp-tree - Rare Association rule is an association
An Exploration of the Relationship between ‘Play’ and ‘Contents’ in 2019 National Nuri-Curriculum

본 연구는 유아·놀이 중심의 2019 개정 누리과정이 시행되면서 제기될 수 있는 다양한 논쟁 중에서 ‘놀이와 교육내용’의 연계성에 초점을 두어 살펴보았다. 전통적으로 유아교육과정에서는 ‘놀이’에 대한 교육과정과의 연계성을 교수·학습에 두는 경향이 높았으나, 개정 누리과정에서는 놀이를 ‘교육내용으로서 5개 영역’과의 연계성에 더 초점을 두고자 한 점에 주목할 필요가 있다. 본 연구는 현재 시급히 요구되는 의제에 초점을 두는 이슈 페이퍼의 성격을 가지며, 개정 누리과정에서 가장 주목받는 놀이와 교육과정에서 가장 중요한 구성요소인 ‘교육내용’과의 관계를 시급한 의제로 선정하여 살펴보고자 한 것이다. 구체적으로는 첫째, 누리과정에서 교육내용이 무엇인지를 교육과정의 측면에서 살펴보고, 둘째, 유아의 놀이와 누리과정의 교육내용과의 연계성의 의미를 탐구하며, 셋째, 놀이와 5개 영역의 교육내용의 연계가 무엇인지 구체적 사례를 통해 살펴보고 있다. 무엇보다 놀이를 근간으로 개정 누리과정을 실행해 간다는 것은 국가 교육과정의 교육내용이 유아의 놀이 속에서 구현되어야 함을 의미하며, 5개 영역의 내용은 고정된 기준이 아니라, 유아의 놀이를 통해 생성되는 배움의 내용에 근거하여 교사의 넘나드는 의미 해석과 교육과정 문해력을 요구한다는 점을 논의하였다. 결론적으로 본 논문은 유아교육과정에서 유아의 놀이의 중요성을 논의하는 담론이 자칫 간과하기 쉬운 교육내용과의 중요한 연계성에서 논의되어야 한다는 점과, 이는 놀이를 단순한 방법론이 아닌 국가교육과정에서 가장 핵심적 구성요소인 교육 내용의 관계성에서 좀 더 본질에 충실하여 심화될 수 있음의 중요성과 시사점을 제안하였다.Nuri-Curriculum is a national early childhood curriculum for 3-5 young children in Korea, which has recently re-announced its direction toward ‘children and play centered’. This study explored the significant relationship between play and content knowledge in National Nuri-Curriculum. A critical analysis has done on the tendency of the early childhood curriculum which has often regarded play as the way of teaching and learning methods instead on connection with contents knowledge. In order to overcome this ambiguities tendency, this study firstly focused on exploring the significance of contents on the national curriculum; then tried to focusing on explanation why and what 2019 Nuri-Curriculum has newly slimed the contents knowledge. Sliming content knowledge is important process for manifestation of National Nuri Curriculum on early childhood fields at practical level. In addition, this study described concrete examples of children’s play in early childhood classrooms which has related to the 5 areas of contents in Nuri-curriculum. Finally, this study suggested that the practice of national curriculum must has to do the content knowledge on the paper of national curriculum with its manifestations on the fields, so thus the Nuri curriculum based on children’s play.