37,115 research outputs found

    Supplemental Material - Machine Learning Predict Survivals of Spinal and Pelvic Ewing’s Sarcoma with the SEER Database

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    Supplemental Material for Machine Learning Predict Survivals of Spinal and Pelvic Ewing’s Sarcoma with the SEER Database by Guoxin Fan, Sheng Yang, Jiaqi Qin, Longfei Huang, Yufeng Li, Huaqing Liu, Xiang Liao in Global Spine Journal</p

    Single-RF and twin-RF spatial modulation for an arbitrary number of transmit antennas

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    Spatial Modulation (SM) constitutes an appealing low-complexity single Radio Frequency (RF)-aided Multiple-Input Multiple-Output (MIMO) technique. Conventional SM schemes tend to rely on transmit antenna (TA) configurations, where the number of TAs is a power of two. In order to circumvent this limitation, a novel single RF-aided SM conceived for an Arbitrary Number of TAs (SM-ATA) is proposed, which is then further developed to a twin-RF Enhanced SM-ATA (ESM-ATA) schedule for exploiting the diversity advantage of Space-Time Block Coding (STBC). Furthermore, low-complexity near-optimal detectors are designed for both the SM-ATA and ESM-ATA schemes. Our simulation results show that the proposed SM-ATA schemes offer almost the same performance as conventional SM systems, despite using a reduced number of transmit antennas at the same transmission rate. The proposed twin-RF ESM-ATA schemes provide a beneficial performance gain over the existing twin-RF multiplexing based and space-time coding based SM schemes. Finally, an upper bound is derived for the Average Bit Error Probability (ABEP), which is confirmed by our simulation results

    Special issue: Process safety in times of a pandemic

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    Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Safety and Security Scienc

    Distributed human computation framework for linked data co-reference resolution

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    Distributed Human Computation (DHC) is a technique used to solve computational problems by incorporating the collaborative effort of a large number of humans. It is also a solution to AI-complete problems such as natural language processing. The Semantic Web with its root in AI is envisioned to be a decentralised world-wide information space for sharing machine-readable data with minimal integration costs. There are many research problems in the Semantic Web that are considered as AI-complete problems. An example is co-reference resolution, which involves determining whether different URIs refer to the same entity. This is considered to be a significant hurdle to overcome in the realisation of large-scale Semantic Web applications. In this paper, we propose a framework for building a DHC system on top of the Linked Data Cloud to solve various computational problems. To demonstrate the concept, we are focusing on handling the co-reference resolution in the Semantic Web when integrating distributed datasets. The traditional way to solve this problem is to design machine-learning algorithms. However, they are often computationally expensive, error-prone and do not scale. We designed a DHC system named iamResearcher, which solves the scientific publication author identity co-reference problem when integrating distributed bibliographic datasets. In our system, we aggregated 6 million bibliographic data from various publication repositories. Users can sign up to the system to audit and align their own publications, thus solving the co-reference problem in a distributed manner. The aggregated results are published to the Linked Data Cloud

    Intersystem soft handover for converged DVB-H and UMTS networks

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    Digital video broadcasting for handhelds (DVB-H) is the standard for broadcasting Internet Protocol (IP) data services to mobile portable devices. To provide interactive services for DVB-H, the Universal Mobile Telecommunications System (UMTS) can be used as a terrestrial interaction channel for the unidirectional DVB-H network. The converged DVB-H and UMTS network can be used to address the congestion problems due to the limited multimedia channel accesses of the UMTS network. In the converged network, intersystem soft handover between DVB-H and UMTS is needed for an optimum radio resource allocation, which reduces network operation cost while providing the required quality of service. This paper deals with the intersystem soft handover between DVB-H and UMTS in such a converged network. The converged network structure is presented. A novel soft handover scheme is proposed and evaluated. After considering the network operation cost, the performance tradeoff between the network quality of service and the network operation cost for the intersystem soft handover in the converged network is modeled using a stochastic tree and analyzed using a numerical simulation. The results show that the proposed algorithm is feasible and has the potential to be used for implementation in the real environment

    Beyond interfaces: A usability study of Chinese journal databases

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    A presentation at the Council on East Asian Libraries (CEAL) annual meeting in Boston, MA on March 21, 2007

    Rose Galaida and the Central China Relief Records, 1946: Discovery, Investigation, and Implications

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    The materials in the Central China Relief Records (CCRR) collection provide a window to the experiences of Rose Galaida in Hubei. The collection consists of about 100 documents totaling over 300 pages (excluding duplicate copies) and 5 photographs.Peer reviewedPublished in the Journal of East Asian Libraries and available from the journal at: https://scholarsarchive.byu.edu/jeal/vol2011/iss153/

    Breaking New Ground in East Asia Library History

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    Review of Peter X. Zhou. Collecting Asia: East Asian Libraries in North America (2010).Published in H-Net Reviews in the Humanities and Social Sciences and available at: http://www.h-net.org/reviews/showrev.php?id=32231March 201

    One step preparation of pure tau-MnAl phase with high magnetization using strip casting method

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    Ferromagnetic phase of Mn-Al exhibits great potential in the rare-earth free permanent magnetic materials due to its high magnetocrystalline anisotropy, high magnetization, high Curie temperature and low cost. In this work, the strip casting technique was applied to prepare MnAl magnetic phase. X-ray diffraction and energy dispersive X-ray analyses indicate that the as-prepared Mn54Al46 strip sample consists of pure tau-MnAl magnetic phase. It is found that the composition of Mn54Al46 is suitable to prepare tau-MnAl phase during the strip casting process. The Mn54Al46 strip sample synthesized through the strip casting exhibits a fairly high magnetization of 114 emu/g under a field of 5 T, while the coercivity of iHc = 2.8 kOe, magnetization of M-5T = 63.9 emu/g at room temperature can be obtained for Mn54Al46 powder sample. This preparation method can produce a large amount of tau-phase MnAl alloy and promote mass industrialized production. (C) 2017 Author(s)
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