8 research outputs found

    Online Gaming for Crowd-sourcing Phrase-equivalents

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    We propose the use of a game with a purpose (GWAP) to facilitate crowd-sourcing of phrase-equivalents, as an alternative to expert or paid crowd-sourcing. Doodling is an online multiplayer game, in which one player (drawer), draws pictures on a shared board to get the other players (guessers) to guess the meaning behind an assigned phrase. In this paper we describe the system and results from several experiments intended to improve the quality of information generated by the play. In addition, we describe the mechanism by which we take candidate phrases generated during the games and filter out true phrase equivalents. We expect that, at scale, this game will be more cost-efficient than paid mechanisms for a similar task, and demonstrate this by comparing the productivity of an hour of game play to an equivalent crowd-sourced Amazon Mechanical Turk task to produce phrase-equivalents over one week

    Bioenergy Technologies for a Net Zero Transition:Outcomes of UK-India Bioenergy Research Scoping

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    The report is part of scoping exercise led by UK Research and Innovation (UKRI)’s Engineering and Physical Sciences Research Council (EPSRC) and Biotechnology and Biological Sciences Research Council (BBSRC) and commissioned to Supergen Bioenergy Hub. The report is for UKRI, funded by UKRI India. UKRI launched in April 2018. UKRI is a non-departmental public body sponsored by the Department for Business, Energy and Industrial Strategy (BEIS). Our organisation brings together the seven disciplinary research councils, Research England, which is responsible for supporting research and knowledge exchange at higher education institutions in England, and the UK’s innovation agency, Innovate UK. Our nine councils work together in innovative ways to deliver an ambitious agenda, drawing on our great depth and breadth of expertise and the enormous diversity of our portfolio. http://www.ukri.org UKRI India plays a key role in enhancing the research and innovation collaboration between the UK and India. Since 2008, the UK and Indian governments, and third parties, have together invested over £330 million in co-funded research and innovation programmes. This investment has brought about more than 258 individual projects. The projects were funded by over 15 funding agencies, bringing together more than 220 lead institutions from the UK and India. These research projects have generated more than £450 million in further funding, mainly from public bodies but also from non-profit organisations and commercial entities, attesting the relevance of these projects. www.ukri.org/india This work was commissioned to inform UKRI/UKRI India priorities and pathways for innovation development in bioenergy with UK-India partnerships

    Learning Hash Functions for Cross-View Similarity Search

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    Many applications in Multilingual and Multimodal Information Access involve searching large databases of high dimensional data objects with multiple (conditionally independent) views. In this work we consider the problem of learning hash functions for similarity search across the views for such applications. We propose a principled method for learning a hash function for each view given a set of multiview training data objects. The hash functions map similar objects to similar codes across the views thus enabling cross-view similarity search. We present results from an extensive empirical study of the proposed approach which demonstrate its effectiveness on Japanes

    Efficacy and safety of fixed dose combination of Sitagliptin, metformin, and pioglitazone in type 2 Diabetes (IMPACT study): a randomized controlled trial

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    Abstract Background Due to the progressive decline in β-cell function, it is often necessary to utilize multiple agents with complementary mechanisms of action to address various facets and achieve glycemic control. Thus, this study aimed to evaluate the efficacy and safety of a fixed-dose combination (FDC) of metformin/sitagliptin/pioglitazone (MSP) therapy vs. metformin/sitagliptin (MS) in type 2 diabetes mellitus (T2DM). Methods In this phase 3, multicenter, double-blind study, patients with T2DM who exhibited inadequate glycemic control with HbA1c of 8.0–11.0% while taking ≥1500 mg/day metformin for at least 6 weeks were randomized to receive either FDC of MSP (1000/100/15 mg) or MS (1000/100 mg) per day for 24 weeks. The primary outcome measure was the change in HbA1c, and secondary outcomes included changes in fasting plasma glucose (FPG), postprandial plasma glucose (PPG), and body weight from baseline to 24 weeks along with safety and tolerability. Results Among the 236 patients randomized, 207 (87.71%) successfully completed the study. All baseline characteristics were comparable between the FDC of MSP and MS groups. There was a subsequent significant reduction of HbA1c in FDC of MSP (− 1.64) vs. MS (− 1.32); between groups was [− 0.32% (95% CI, − 0.59, − 0.05)], P = 0.0208. Similar reductions were found in FPG [− 13.2 mg/dL (95% CI, − 22.86, − 3.71)], P = 0.0068, and PPG [− 20.83 mg/dL (95% CI, − 34.11, − 7.55)], P = 0.0023. There were no significant changes in body weight. A total of 27 adverse effects (AEs) and one severe AE were reported, none of which were related to the study drug. Conclusion The FDC of MSP demonstrated significant efficacy in managing glycemic indices and could serve as a valuable tool for physicians in the management of Indian patients with T2DM. Trial registration Clinical Trials Registry of India, CTRI/2021/10/037461
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