125 research outputs found

    Exploring the Nudging and Counter-Nudging Effects of Campaign Updates in Crowdfunding

    Get PDF
    Crowdfunding has emerged as a vital financing avenue for entrepreneurs to realize their ventures. With limited information availability, crowd-funders may choose to first follow the progress of interested crowdfunding campaigns, such as monitoring project updates to acquire more information for justifying investment decision, before making pledges. Although campaign updates have been touted to be a salient driver of fundraising success, the underlying mechanism for this relationship remains unclear. Subscribing to nudge theory, we strive to shed light on how update strategies, such as frequency and message length, can serve as nudges to convert project followers to actual funders. Specifically, we posit a dual-role of campaign updates whereby an over-zealous update strategy may induce a counter-nudging effect that deters prospective funders, what we labelled as ‘over-nudging’. This study advances a model to account for both the nudging and counter-nudging effects of campaign updates in crowdfunding, which could yield insights for fundraisers to optimize their update strategy and in turn, get their business off the ground

    Graph-Regularized Manifold-Aware Conditional Wasserstein GAN for Brain Functional Connectivity Generation

    Full text link
    Common measures of brain functional connectivity (FC) including covariance and correlation matrices are semi-positive definite (SPD) matrices residing on a cone-shape Riemannian manifold. Despite its remarkable success for Euclidean-valued data generation, use of standard generative adversarial networks (GANs) to generate manifold-valued FC data neglects its inherent SPD structure and hence the inter-relatedness of edges in real FC. We propose a novel graph-regularized manifold-aware conditional Wasserstein GAN (GR-SPD-GAN) for FC data generation on the SPD manifold that can preserve the global FC structure. Specifically, we optimize a generalized Wasserstein distance between the real and generated SPD data under an adversarial training, conditioned on the class labels. The resulting generator can synthesize new SPD-valued FC matrices associated with different classes of brain networks, e.g., brain disorder or healthy control. Furthermore, we introduce additional population graph-based regularization terms on both the SPD manifold and its tangent space to encourage the generator to respect the inter-subject similarity of FC patterns in the real data. This also helps in avoiding mode collapse and produces more stable GAN training. Evaluated on resting-state functional magnetic resonance imaging (fMRI) data of major depressive disorder (MDD), qualitative and quantitative results show that the proposed GR-SPD-GAN clearly outperforms several state-of-the-art GANs in generating more realistic fMRI-based FC samples. When applied to FC data augmentation for MDD identification, classification models trained on augmented data generated by our approach achieved the largest margin of improvement in classification accuracy among the competing GANs over baselines without data augmentation.Comment: 10 pages, 4 figure

    Applying System Safety Methodology and Related Tools for a Public Private Partnership Programme

    Get PDF
    Abstract Governmental agencies, including the Armed Forces, may require services that are available and ably provided by the private sector. Such collaborations between the public and private entities, commonly known as Public Private Partnerships (PPP), bring benefits to both parties and are well documented. This includes the ability to tap on the private sectors' facilities and resources without the need for the governmental agencies to make a similar high investment, while providing added revenue to the private sector. This paper shares how the Defence Science and Technology Agency (DSTA), a statutory board under Singapore's Ministry of Defence (MINDEF), applied the System Safety process for a PPP programme. The programme entails the acquisition of the services of a vertical wind tunnel as a simulator to provide a safe, realistic and costeffective free-fall training environment for the Singapore Armed Forces (SAF). The vertical wind tunnel facility is also open to the general public as a sporting and leisure facility. The paper discusses the challenges faced, the strategies implemented, and introduces two atypical tools that were utilised to good effect. One of the tools used is the Goal Structuring Notation (GSN) tool. The authors used the GSN tool as a graphical notation to communicate the structure of safety arguments. This approach facilitated the visualisation of how the safety integrity of the PPP Programme was ascertained

    Understanding the photoelectrochemical properties of a reduced graphene oxide-WO3 heterojunction photoanode for efficient solar-light-driven overall water splitting

    Get PDF
    WO3-reduced graphene oxide (WO3-RGO) heterojunction electrodes were prepared for photoelectrochemical (PEC) overall water splitting. The WO3 photoanode incorporated with RGO showed significantly enhanced PEC properties and, hence, photocatalytic water splitting, compared to the bare WO3 at a bias larger than 0.7 V vs. Ag/AgCl, while a decrease in the PEC properties of WO3-RGO compared to the WO3 electrode was observed at a bias smaller than 0.7 V vs. Ag/AgCl. RGO could play a favorable role in enhancing the electron-hole separation due to the presence of interface states according to the Bardeen model, but it could also provide active sites for the electron-hole recombination. A more positive applied bias is in favor of effective electron-hole separation, by means of quick collection and transport of electrons by RGO. As a result, a higher PEC performance of WO3-RGO can only be realised at a relatively more positive bias. This study gives insights into the complex nature of a RGO-semiconductor heterojunction, and its implications on the overall photoconversion efficiency

    Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

    Get PDF
    Nuclear cataract is the most common type of age-related cataract and a leading cause ofblindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little isknown about specific genetic factors underlying this condition. Here we report findingsfrom the largest to date multi-ethnic meta-analysis of genome-wide association studies(discovery cohort N = 14,151 and replication N = 5299) of the International CataractGenetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468,P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 10−19), TMPRSS5 (rs4936279, P = 2.5 × 10−10),LINC01412 (rs16823886, P = 1.3 × 10−9), GLTSCR1 (rs1005911, P = 9.8 × 10−9), and COMMD1(rs62149908, P = 1.2 × 10−8). The results suggest a strong link of age-related nuclear cataract with congenital cataract and eye development genes, and the importance of commongenetic variants in maintaining crystalline lens integrity in the aging eye

    Common variants in SOX-2 and congenital cataract genes contribute to age-related nuclear cataract

    Get PDF
    Nuclear cataract is the most common type of age-related cataract and a leading cause of blindness worldwide. Age-related nuclear cataract is heritable (h2 = 0.48), but little is known about specific genetic factors underlying this condition. Here we report findings from the largest to date multi-ethnic meta-analysis of genome-wide association studies (discovery cohort N = 14,151 and replication N = 5299) of the International Cataract Genetics Consortium. We confirmed the known genetic association of CRYAA (rs7278468, P = 2.8 × 10−16) with nuclear cataract and identified five new loci associated with this disease: SOX2-OT (rs9842371, P = 1.7 × 1

    International Consensus Statement on Rhinology and Allergy: Rhinosinusitis

    Get PDF
    Background: The 5 years since the publication of the first International Consensus Statement on Allergy and Rhinology: Rhinosinusitis (ICAR‐RS) has witnessed foundational progress in our understanding and treatment of rhinologic disease. These advances are reflected within the more than 40 new topics covered within the ICAR‐RS‐2021 as well as updates to the original 140 topics. This executive summary consolidates the evidence‐based findings of the document. Methods: ICAR‐RS presents over 180 topics in the forms of evidence‐based reviews with recommendations (EBRRs), evidence‐based reviews, and literature reviews. The highest grade structured recommendations of the EBRR sections are summarized in this executive summary. Results: ICAR‐RS‐2021 covers 22 topics regarding the medical management of RS, which are grade A/B and are presented in the executive summary. Additionally, 4 topics regarding the surgical management of RS are grade A/B and are presented in the executive summary. Finally, a comprehensive evidence‐based management algorithm is provided. Conclusion: This ICAR‐RS‐2021 executive summary provides a compilation of the evidence‐based recommendations for medical and surgical treatment of the most common forms of RS
    corecore