153,253 research outputs found

    Factors influencing medical oncology referral in Dukes' C colonic cancer

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    Aim: Colorectal cancer (CRC) is one of the most common malignancies worldwide and adjuvant chemotherapy is proven to improve survival in patients with Dukes' C CRC. The purpose of this study was to analyze factors influencing referral to medical oncology in patients with Dukes' C colonic cancer in our institutions. Methods: Patients who underwent resection for Dukes' C colonic cancer were assessed for factors that influence the pattern of postoperative referral to the medical oncology department, including demographic and perioperative data. Results: Overall, 466 patients were identified to have Dukes' C colonic cancer, with 53.9% of these being female. Referral to medical oncology occurred for 58.4% patients. Multivariable logistic regression modeling identified age, elective admission and resection in private hospitals as factors. The likelihood of medical oncology referral in patients who had elective resection was 63% versus 41% in those who had emergency resection and resection in private hospitals was 69% versus 50% in public hospitals. Conclusion: Referral to a postoperative medical oncology clinic for adjuvant chemotherapy in Dukes' C colonic cancer was more likely in younger patients, those who underwent elective resection and those treated in private hospitals.Cu-Tai Lu, Jacqueline H. Stephens and Nicholas A. Riege

    Determination of the mixing potential V between the bipolaron and the itinerant electron and possible two-component interaction superconductivity based on a low N(E-F) for doped fullerenes

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    A mixing potential V=0.23 eV was obtained in the normal state within the negative U Anderson-lattice model (two-component model) if the additional spectral weight in the band gap observed on K3C60 is attributed to the additional bipolaron state. The superconducting transition temperature T-c, penetration depth lambda, coherent length xi, thermodynamic critical field H-c, specific heat jump Delta C/T-c and isotope effect exponent cu can be well reproduced within the same model based on a low density of states at the Fermi level, N(E-F)approximate to 3 states/eV C-60 spin, which is another general observation when using photoemission spectroscopy, with a mixing potential V=0.075-0.12 eV. The smaller discrepancy in V seems to support the two-component interaction superconductivity for doped fullerenes. (C) 1997 Elsevier Science B.V.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:A1997XM25500008&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Physics, AppliedSCI(E)EI1ARTICLE3-4209-21827

    Towards High-Level Synthesis of Quantum Circuits

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    In recent years, there has been a proliferation of quantum algorithms, primarily due to their exponential speedup over their classical counterparts. Quantum algorithms find applications in various domains, including machine learning, molecular simulation, and cryptography. However, extensive knowledge of linear algebra and quantum mechanics are required to program a quantum computer, which might not be feasible for traditional software programmers. Moreover, current quantum programming paradigm is difficult to scale and integrate quantum circuits to achieve complex functionality. To this end, in this paper, we introduce QHLS, a quantum high-level synthesis (HLS) framework. To the best of our knowledge, this is the first HLS framework for quantum circuits. The proposed QHLS allows quantum programmers to start with high-level behavioral descriptions (e.g., C, C++) and automatically generate the corresponding quantum circuit; thus, reducing the complexity of programming a quantum computer. Our experimental results demonstrate the success of QHLS in translating high-level behavioral software programs containing arithmetic, logical, and conditional statements

    QHLS: An HLS Framework to Convert High-Level Descriptions to Quantum Circuits

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    Quantum Computing has been shown to provide exponential performance improvements in several tasks, such as cryptography, healthcare, etc. This paper presents a new framework for quantum high-level synthesis, called QHLS, that aims to facilitate programmers using quantum computers. Currently, quantum-computer programmers need extensive linear algebra and quantum mechanics knowledge, which can be challenging for traditional software programmers. Additionally, the current quantum programming paradigm is not scalable, and it can be difficult to combine quantum circuits to create a more complex functionality. QHLS addresses these issues by enabling the automatic generation of quantum circuit descriptions directly from high-level behavioral specifications (using languages like C or C++). This simplifies the programming of a quantum computer, making it more accessible to a wider range of programmers. Our experiments show that QHLS can successfully translate high-level software programs containing various types of statements (such as arithmetic, logical, and conditional operations) into functionally equivalent quantum circuits

    Measurement of the ratio of prompt χ c to J / ψ production in pp collisions at √s = 7 TeV

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    The prompt production of charmonium χ c and J / ψ states is studied in proton-proton collisions at a centre-of-mass energy of √s = 7 TeV at the Large Hadron Collider. The χ c and J / ψ mesons are identified through their decays χ c → J / ψ γ and J / ψ → μ + μ - using 36 pb - 1 of data collected by the LHCb detector in 2010. The ratio of the prompt production cross-sections for χ c and J / ψ, σ (χ c → J / ψ γ) / σ (J / ψ), is determined as a function of the J / ψ transverse momentum in the range 2 < p T J / ψ < 15 GeV / c. The results are in excellent agreement with next-to-leading order non-relativistic expectations and show a significant discrepancy compared with the colour singlet model prediction at leading order, especially in the low p T J / ψ region

    Lu, C.

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    Lu, C.

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