Search results for "value"

Co-citation Percentile Rank and JYUcite : a new network-standardized output-level citation influence metric and its implementation using Dimensions A…

2022

AbstractJudging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve (i) the concept of journal, in one way or another, (ii) calculating arithmetic averages from extremely skewed distributions, and (iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an examp…

Harnessing User Values to Understand Value Co-Creation and Co-Destruction in Augmented Reality Mobile Games

2021

This paper explores the phenomena of value co- creation and co-destruction in augmented reality (AR) mobile games. More specifically, we aim to achieve an in-depth understanding of value co-creation and co- destruction occurring in Pokémon GO and the user values underlying these occurrences. Service-dominant (S-D) logic provides our study with a lens for understanding users as active co-creators, co- destroyers, and determinants of value. Further, the means-end theory establishes users’ personal values and goals as the basis for service value determination. We uncover key values highlighted in users’ positive and negative gaming experiences through a qualitative content analysis of 43 in-de…

Front Cover: Electrosynthetic Screening and Modern Optimization Strategies for Electrosynthesis of Highly Value‐added Products (ChemElectroChem 14/20…

2021

Automatic Image Annotation Using Random Projection in a Conceptual Space Induced from Data

2018

The main drawback of a detailed representation of visual content, whatever is its origin, is that significant features are very high dimensional. To keep the problem tractable while preserving the semantic content, a dimen- sionality reduction of the data is needed. We propose the Random Projection techniques to reduce the dimensionality. Even though this technique is sub-optimal with respect to Singular Value Decomposition its much lower computational cost make it more suitable for this problem and in par- ticular when computational resources are limited such as in mobile terminals. In this paper we present the use of a "conceptual" space, automatically induced from data, to perform automa…

A kernel support vector machine based technique for Crohn’s disease classification in human patients

2017

In this paper a new technique for classification of patients affected by Crohn’s disease (CD) is proposed. The proposed technique is based on a Kernel Support Vector Machine (KSVM) and it adopts a Stratified K-Fold Cross-Validation strategy to enhance the KSVM classifier reliability. Traditional manual classification methods require radiological expertise and they usually are very time-consuming. Accordingly to three expert radiologists, a dataset composed of 300 patients has been selected for KSVM training and validation. Each patient was codified by 22 extracted qualitative features and classified as Positive or Negative as the related histological specimen result showed the CD. The eff…

Dimension Estimation in Two-Dimensional PCA

2021

We propose an automated way of determining the optimal number of low-rank components in dimension reduction of image data. The method is based on the combination of two-dimensional principal component analysis and an augmentation estimator proposed recently in the literature. Intuitively, the main idea is to combine a scree plot with information extracted from the eigenvectors of a variation matrix. Simulation studies show that the method provides accurate estimates and a demonstration with a finger data set showcases its performance in practice. peerReviewed

Web-Based Learning Objects in School Education

2010

The added value of Web-based learning objects (WBLOs) lies in supporting learners to acquire the right knowledge and skills in order to function as active and collaborative learners. To realize this, WBLOs must be both technically and pedagogically usable. Technical usability in itself is not sufficient. To support the learning process, the usability concept must be extended to include pedagogical considerations. The importance of pedagogical usability in education has been recognized, but not sufficiently researched. In addition, little research has been done to evaluate the pedagogical value of WBLOs. The main goal of this paper is to show how to foster pedagogically usable WBLOs in schoo…

Value added taxes on electronic commerce: Obstacles to the EU Commission’s approach

2000

While e-commerce is developing tremendously fast, domestic politics and legislation labour to keep up with the dynamics of the new technology. Among other things, fiscal law is a particularly explosive area. Here, the current proposal of the EU Commission is to apply the already existing value added tax to e-commerce. By doing so, the Commission hopes to prevent the massive threatened shortfall in tax revenue. How is this approach of the Commission to be judged? Are there any alternatives?

Growing up morally: An experiential classroom unit on moral development

2015

One reason why many of today’s business leaders are frequently viewed as unethical, corrupt, and corruptible is that values transmitted (implicitly) by university business education courses influence students to ignore ethics. This paper argues that to help future business leaders become more ethical, business school implicit values should reflect a more ethical direction. The present paper describes an experiential pedagogy designed to help students develop morally. It does so by asking students to: 1) participate in exercises sensitizing them to ethical issues, 2) reflect on their own ethical values and decisions they’ve made in the past that either mirror or contradict those values, 3) r…

Quantum Monte Carlo study of high pressure solid molecular hydrogen

2013

We use the diffusion quantum Monte Carlo (DMC) method to calculate the ground state phase diagram of solid molecular hydrogen and examine the stability of the most important insulating phases relative to metallic crystalline molecular hydrogen. We develop a new method to account for finite-size errors by combining the use of twist-averaged boundary conditions with corrections obtained using the Kwee-Zhang-Krakauer (KZK) functional in density functional theory. To study band-gap closure and find the metallization pressure, we perform accurate quasi-particle many-body calculations using the $GW$ method. In the static approximation, our DMC simulations indicate a transition from the insulating…