Zayed University

About: Zayed University is a education organization based out in Abu Dhabi, United Arab Emirates. It is known for research contribution in the topics: Web service & Computer science. The organization has 1030 authors who have published 3346 publications receiving 42546 citations.

Imagined affordances of instagram and the fantastical authenticity of female Gulf-Arab social media influencers

Abstract: This study explores the image sharing site Instagram to reveal how affordances, or uses of the platform, occur within a nexus of technological architecture, sociocultural contexts, and globalized c...

Targeted 25-hydroxyvitamin D concentration measurements and vitamin D 3 supplementation can have important patient and public health benefits

Abstract: Over the past two decades, many studies reported the benefits of higher 25-hydroxyvitamin D [25(OH)D] concentrations for nonskeletal effects. Researchers found significant benefits in reducing risk of acute respiratory tract infections, many types of cancer, type 2 diabetes mellitus, premature death, and adverse pregnancy and birth outcomes. In addition, 25(OH)D concentrations are low for various reasons in several categories of people, including the obese, those with dark skin living at higher latitudes, the elderly, and those who do not eat much eggs, fish, meat, or vitamin D fortified milk. Measuring 25(OH)D concentrations is one way to both increase the awareness of vitamin D’s importance in maintaining good health and to encourage vitamin D supplementation or increased solar ultraviolet-B exposure to sustain well-being throughout life by reducing disease incidence. Although 20 ng/ml seems adequate to reduce risk of skeletal problems and acute respiratory tract infections, concentrations above 30 ng/ml have been associated with reduced risk of cancer, type 2 diabetes mellitus, and adverse pregnancy and birth outcomes. Thus, judicious testing of 25(OH)D concentrations could reduce disease incidence and make treatment expenditures more cost-effective.

The Interactive Effect of Authentic Leadership and Leader Competency on Followers’ Job Performance: The Mediating Role of Work Engagement

Abstract: The effect of authentic leadership and leader competency on employee job performance has received growing attention in the past decades; however, few studies have simultaneously integrated these two leadership perspectives. We have thus developed a mediated moderation model to test the interactive effect of authentic leadership and competency on followers’ job performance through work engagement. Based on a sample of 248 subordinate–supervisor pairs, hierarchical regression analyses reveal that (1) authentic leadership positively relates to followers’ task performance and organizational citizenship behavior (OCB); (2) leader competency moderates the relationship between authentic leadership and OCB; (3) and followers’ work engagement mediates the main effect of authentic leadership and the interactive effect of authentic leadership and competency on followers’ task performance and OCB. All the three results are consistent with our hypotheses.

M3DSSD: Monocular 3D Single Stage Object Detector

Abstract: In this paper, we propose a Monocular 3D Single Stage object Detector (M3DSSD) with feature alignment and asymmetric non-local attention. Current anchor-based monocular 3D object detection methods suffer from feature mismatching. To overcome this, we propose a two-step feature alignment approach. In the first step, the shape alignment is performed to enable the receptive field of the feature map to focus on the pre-defined anchors with high confidence scores. In the second step, the center alignment is used to align the features at 2D/3D centers. Further, it is often difficult to learn global information and capture long-range relationships, which are important for the depth prediction of objects. Therefore, we propose a novel asymmetric non-local attention block with multi-scale sampling to extract depth-wise features. The proposed M3DSSD achieves significantly better performance than the monocular 3D object detection methods on the KITTI dataset, in both 3D object detection and bird’s eye view tasks. The code is released at https://github.com/mumianyuxin/M3DSSD.