Facebook Use and Public Participation in Science: A Comparison Between the General Public and Users of a Science Facebook Fan Page

Investigating the role of SNSs in engaging the public in scientific affairs is necessary in the modern society where risk and scientific innovations bear a high level of uncertainty. This study employs the O-S-O-R model in its attempt to examine the impact of SNSs on civic activism and the potential mediating role of self-efficacy and scientific knowledge. It is noteworthy that this study utilizes data collected from two different populations –the general public and the users of the Facebook fan page “Pansci.com,” the biggest scientific online group in Taiwan. Based on a total sample size of 1,960, we found that Facebook use increases knowledge only for “Pansci.com” users. Moreover, Facebook use is positively related to self-efficacy and public participation in both samples. However, its effect on self-efficacy is stronger for “Pansci.com” users. Quite differently, the effect of self-efficacy on participation is stronger for the general public. Lastly, self-efficacy, but not knowledge, serves as a significant mediator between Facebook use and public participation in both samples. Implications of these findings will be discussed

Exposure of the Hidden Anti-Ferromagnetism in Paramagnetic CdSe:Mn Nanocrystals

We present theoretical and experimental investigations of the magnetism of paramagnetic semiconductor CdSe:Mn nanocrystals and propose an efficient approach to the exposure and analysis of the underlying anti-ferromagnetic interactions between magnetic ions therein. A key advance made here is the build-up of an analysis method with the exploitation of group theory technique that allows us to distinguish the anti-ferromagnetic interactions between aggregative Mn2+ ions from the overall pronounced paramagnetism of magnetic ion doped semiconductor nanocrystals. By using the method, we clearly reveal and identify the signatures of anti-ferromagnetism from the measured temperature dependent magnetisms, and furthermore determine the average number of Mn2+ ions and the fraction of aggregative ones in the measured CdSe:Mn nanocrystals.Comment: 26 pages, 5 figure

IT-Enabled Management Control Systems Transformations: Lessons Learned from SaveCom

Information technology (IT)-enabled organizational transformations are emphasized in a great deal of research. However, IT-enabled management control systems (MCS) transformations to facility management for steering an organization toward its strategic objectives have become relevant and important, yet underexplored. To address this gap, the present study illustrates how a business intelligence (BI) system enables the transformations of organizational MCS. Through an in-depth case study of a Taiwanese telecommunications company, the IT features, and their direct effects and induced effects to MCS are analyzed in terms of an organization’s belief systems, boundary systems, diagnostic control systems, and interactive control systems. The implications for the organizational MCS design of these effects are discussed

High Serum Estradiol Levels are not Detrimental to In Vitro Fertilization Outcome

SummaryObjectiveTo evaluate the impact of high estradiol (E2) levels and a high number of retrieved oocytes on the outcome of in vitro fertilization (IVF) cycles.Materials and MethodsWe retrospectively reviewed 274 IVF cycles. These patients were divided into five groups according to their peak E2 levels on the human chorionic gonadotropin day: ≤ 2,000 pg/mL (130 cycles); 2,001–3,000 pg/mL (53 cycles); 3,001–4,000 pg/mL (46 cycles); 4,001–5,000 pg/mL (29 cycles); > 5,000 pg/mL (16 cycles). Fertilization, pregnancy, and implantation rates were analyzed between these groups. We also compared the outcome of IVF for high responders (> 15 retrieved oocytes) and normal responders (≤ 15 retrieved oocytes).ResultsThe oocyte fertilization and embryo cleavage rates were not significantly different among these five groups. Although decrease in pregnancy and implantation rates was observed when E2 levels were > 5,000 pg/mL compared with those having lower E2 levels, there were no statistically significant differences between these five groups. In addition, similar IVF outcome was detected for those cycles with > 15 oocytes and ≤ 15 oocytes obtained.ConclusionHigh serum E2 levels and high oocyte yield are not detrimental to IVF outcome. More studies are needed to characterize the threshold E2 levels above which implantation rates are reduced

Flowtable-Free Routing for Data Center Networks: A Software-Defined Approach

The paradigm shift toward SDN has exhibited the following trends: (1) relying on a centralized and more powerful controller to make intelligent decisions, and (2) allowing a set of relatively dumb switches to route packets. Therefore, efficiently looking up the flowtables in forwarding switches to guarantee low latency becomes a critical issue. In this paper, following the similar paradigm, we propose a new routing scheme called KeySet which is flowtable-free and enables constant-time switching at the forwarding switches. Instead of looking up long flowtables, KeySet relies on a residual system to quickly calculate routing paths. A switch only needs to do simple modular arithmetics to obtain a packet's forwarding output port. Moreover, KeySet has a nice fault- tolerant capability because in many cases the controller does not need to update flowtables at switches when a failure occurs. We validate KeySet through extensive simulations by using general as well as Facebook fat-tree topologies. The results show that the KeySet outperforms the KeyFlow scheme [1] by at least 25% in terms of the length of the forwarding label. Moreover, we show that KeySet is very efficient when applied to fat-trees

Indoor Depth Completion with Boundary Consistency and Self-Attention

Depth estimation features are helpful for 3D recognition. Commodity-grade depth cameras are able to capture depth and color image in real-time. However, glossy, transparent or distant surface cannot be scanned properly by the sensor. As a result, enhancement and restoration from sensing depth is an important task. Depth completion aims at filling the holes that sensors fail to detect, which is still a complex task for machine to learn. Traditional hand-tuned methods have reached their limits, while neural network based methods tend to copy and interpolate the output from surrounding depth values. This leads to blurred boundaries, and structures of the depth map are lost. Consequently, our main work is to design an end-to-end network improving completion depth maps while maintaining edge clarity. We utilize self-attention mechanism, previously used in image inpainting fields, to extract more useful information in each layer of convolution so that the complete depth map is enhanced. In addition, we propose boundary consistency concept to enhance the depth map quality and structure. Experimental results validate the effectiveness of our self-attention and boundary consistency schema, which outperforms previous state-of-the-art depth completion work on Matterport3D dataset. Our code is publicly available at https://github.com/patrickwu2/Depth-CompletionComment: Accepted by ICCVW (RLQ) 201