Norm (philosophy)
View article
Improved Training of Wasserstein GANs Open
Generative Adversarial Networks (GANs) are powerful generative models, but suffer from training instability. The recently proposed Wasserstein GAN (WGAN) makes progress toward stable training of GANs, but sometimes can still generate only …
View article
Provable defenses against adversarial examples via the convex outer adversarial polytope Open
We propose a method to learn deep ReLU-based classifiers that are provably robust against norm-bounded adversarial perturbations on the training data. For previously unseen examples, the approach is guaranteed to detect all adversarial exa…
View article
Meta-Analysis of the Reasoned Action Approach (RAA) to Understanding Health Behaviors Open
The RAA subcomponents have utility in predicting and understanding health behaviors.
View article
Application of the Extended Theory of Planned Behavior Model to Investigate Purchase Intention of Green Products among Thai Consumers Open
Green products are among the widely used products worldwide due to their environmental benefits. However, information on the consumers’ purchase intention towards green products in developing countries, such as Thailand, is lacking. This s…
View article
The Impact of COVID-19 on Anxiety in Chinese University Students Open
COVID-19 had become a pandemic raising concerns of widespread panic and increasing anxiety and stress in individuals all over the world (World Health Organization, 2020a). Lots of countries had closed their schools. As the first country to…
View article
Infrared Small Target Detection Based on Partial Sum of the Tensor Nuclear Norm Open
Excellent performance, real time and strong robustness are three vital requirements for infrared small target detection. Unfortunately, many current state-of-the-art methods merely achieve one of the expectations when coping with highly co…
View article
Reporting and Justifying the Number of Interview Participants in Organization and Workplace Research Open
In this paper we examine established practice regarding the reporting, justification and number of interview participants chosen within organization and workplace studies. For such qualitative research there is a paucity of discussion acro…
View article
Infrared and Visible Image Fusion using a Deep Learning Framework Open
In recent years, deep learning has become a very active research tool which\nis used in many image processing fields. In this paper, we propose an effective\nimage fusion method using a deep learning framework to generate a single image\nw…
View article
A Social Identity Analysis of Climate Change and Environmental Attitudes and Behaviors: Insights and Opportunities Open
Environmental challenges are often marked by an intergroup dimension. Political conservatives and progressives are divided on their beliefs about climate change, farmers come into conflict with scientists and environmentalists over water a…
View article
Surprises in high-dimensional ridgeless least squares interpolation Open
Interpolators-estimators that achieve zero training error-have attracted growing attention in machine learning, mainly because state-of-the art neural networks appear to be models of this type. In this paper, we study minimum ℓ 2 norm ("ri…
View article
Social norms: A review Open
Social norms, as a topic of inquiry, has garnered significant attention from a variety of perspectives in recent years. Because of the rapidly-growing interest in social norms from scholars in multiple disciplines, this area of scholarship…
View article
Gender norms and social norms: differences, similarities and why they matter in prevention science Open
Two streams of theory and practice on gender equity have begun to elide. The first is work conducted to change social norms, particularly using theory that emerged from studies in social psychology. The second is work done on gender norms,…
View article
Provable defenses against adversarial examples via the convex outer adversarial polytope Open
We propose a method to learn deep ReLU-based classifiers that are provably robust against norm-bounded adversarial perturbations on the training data. For previously unseen examples, the approach is guaranteed to detect all adversarial exa…
View article
Control interactions in the theory of planned behavior: Rethinking the role of subjective norm Open
Research with the theory of planned behavior (TPB) has typically treated attitude (ATT), subjective norm (SN), and perceived behavioral control (PBC) as independent predictors of intention (INT). However, theoretically, PBC moderates the e…
View article
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm Open
To improve the detection ability of infrared small targets in complex backgrounds, a novel method based on non-convex rank approximation minimization joint l2,1 norm (NRAM) was proposed. Due to the defects of the nuclear norm and l1 norm, …
View article
Focus on form: A critical review Open
‘Focus on form’ (FonF) is a central construct in task-based language teaching. The term was first introduced by Michael Long to refer to an approach where learners’ attention is attracted to linguistic forms as they engage in the performan…
View article
Expanding the Technology Acceptance Model with the Inclusion of Trust, Social Influence, and Health Valuation to Determine the Predictors of German Users’ Willingness to Continue using a Fitness App: A Structural Equation Modeling Approach Open
According to one market research, fitness or running apps are hugely popular in Germany. Such a trend prompts the question concerning the factors influencing German users’ intention to continue using a specific fitness app. To address the …
View article
Gender Minority Stress: A Critical Review Open
Past studies that compare cisgender to transgender (or trans) and gender diverse people have found a higher prevalence of mental health problems among the latter groups. This article uses Testa's gender minority stress framework, which is …
View article
Preventing child abuse and neglect : a technical package for policy, norm, and programmatic activities Open
Preventing child abuse
View article
The psychology of participation and interest in smart energy systems: Comparing the value-belief-norm theory and the value-identity-personal norm model Open
Environmental problems can be reduced if people would participate in smart energy systems. Little is known about which factors motivate people to actually participate in smart energy systems. We tested the factors that influence individual…
View article
The Importance of Environmental Knowledge for Private and Public Sphere Pro-Environmental Behavior: Modifying the Value-Belief-Norm Theory Open
The promotion of pro-environmental behavior is regarded as very important in solving environmental problems. The Value-Belief-Norm (VBN) theory usually emphasizes internal factors; however, we have transformed this theory by including the …
View article
Perceived behavioral control moderating effects in the theory of planned behavior: A meta-analysis. Open
Results support moderation of the intention-behavior relation by PBC in health behaviors. However, substantial unresolved heterogeneity in the effect across studies remained. Further, these effects may not generalize to other populations a…
View article
Low-Rank Matrix Recovery via Efficient Schatten p-Norm Minimization Open
As an emerging machine learning and information retrieval technique, the matrix completion has been successfully applied to solve many scientific applications, such as collaborative prediction in information retrieval, video completion in …
View article
Multi-channel Weighted Nuclear Norm Minimization for Real Color Image Denoising Open
Most of the existing denoising algorithms are developed for grayscale images. It is not trivial to extend them for color image denoising since the noise statistics in R, G, and B channels can be very different for real noisy images. In thi…
View article
Overcoming Catastrophic Forgetting by Incremental Moment Matching Open
Catastrophic forgetting is a problem of neural networks that loses the information of the first task after training the second task. Here, we propose a method, i.e. incremental moment matching (IMM), to resolve this problem. IMM incrementa…
View article
Things We Lost in the Fire: How Different Types of Contestation Affect the Robustness of International Norms Open
Contestation of international norms has become the new focus of IR norm research. The optimism of the 1990s that fundamental liberal norms would diffuse globally has remained unfulfilled in recent years—even human rights norms have witness…
View article
Trace-distance measure of coherence Open
We show that trace distance measure of coherence is a strong monotone for all qubit and, so called, $X$ states. An expression for the trace distance coherence for all pure states and a semi definite program for arbitrary states is provided…
View article
The Authentic Appeal of the Lying Demagogue: Proclaiming the Deeper Truth about Political Illegitimacy Open
We develop and test a theory to address a puzzling pattern that has been discussed widely since the 2016 U.S. presidential election and reproduced here in a post-election survey: how can a constituency of voters find a candidate “authentic…
View article
Collective action and the evolution of social norm internalization Open
Significance People often ignore material costs they incur when following existing social norms. Some individuals and groups are often willing to pay extremely high costs to enact, defend, or promulgate specific values and norms that they …
View article
Analysis of the use of social media in Higher Education Institutions (HEIs) using the Technology Acceptance Model Open
"The purpose of this paper is to extend the understanding of the drivers of social media in higher education institutions (HEIs) in an emerging economy. This research adopts the Technology Acceptance Model but included subjective norm, per…