2,206 research outputs found

    Radiative Decay Width of Neutral non-Strange Baryons from PWA

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    An overview of the GW SAID and ITEP groups effort to analyze pion photoproduction on the neutron-target will be given. The disentanglement the isoscalar and isovector EM couplings of N* and Delta* resonances does require compatible data on both proton and neutron targets. The final-state interaction plays a critical role in the state-of-the-art analysis in extraction of the gamma n --> pi N data from the deuteron target experiments. It is important component of the current JLab, MAMI-C, SPring-8, ELSA, and ELPH programsComment: 7 pages, 7 figures, 1 table; Proceedings of International Conference Dark Matter, Hadron Physics and Fusion Physics, Messina, Italy, Sept. 2014; will be published in EPJ Web of Conference

    Assessment of Fibrinogen Macromolecules Interaction with Red Blood Cells Membrane by Means of Laser Aggregometry, Flow Cytometry, and Optical Tweezers Combined with Microfluidics

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    An elevated concentration of fibrinogen in blood is a significant risk factor during many pathological diseases, as it leads to an increase in red blood cells (RBC) aggregation, resulting in hemorheological disorders. Despite the biomedical importance, the mechanisms of fibrinogen-induced RBC aggregation are still debatable. One of the discussed models is the non-specific adsorption of fibrinogen macromolecules onto the RBC membrane, leading to the cells bridging in aggregates. However, recent works point to the specific character of the interaction between fibrinogen and the RBC membrane. Fibrinogen is the major physiological ligand of glycoproteins receptors IIbIIIa (GPIIbIIIa or αIIÎČÎČ3 or CD41/CD61). Inhibitors of GPIIbIIIa are widely used in clinics for the treatment of various cardiovascular diseases as antiplatelets agents preventing the platelets’ aggregation. However, the effects of GPIIbIIIa inhibition on RBC aggregation are not sufficiently well studied. The objective of the present work was the complex multimodal in vitro study of the interaction between fibrinogen and the RBC membrane, revealing the role of GPIIbIIIa in the specificity of binding of fibrinogen by the RBC membrane and its involvement in the cells’ aggregation process. We demonstrate that GPIIbIIIa inhibition leads to a significant decrease in the adsorption of fibrinogen macromolecules onto the membrane, resulting in the reduction of RBC aggregation. We show that the mechanisms underlying these effects are governed by a decrease in the bridging components of RBC aggregation forces

    External validation of a deep learning electrocardiogram algorithm to detect ventricular dysfunction

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    Objective - To validate a novel artificial-intelligence electrocardiogram algorithm (AI-ECG) to detect left ventricular systolic dysfunction (LVSD) in an external population. Background - LVSD, even when asymptomatic, confers increased morbidity and mortality. We recently derived AI-ECG to detect LVSD using ECGs based on a large sample of patients treated at the Mayo Clinic. Methods - We performed an external validation study with subjects from the Know Your Heart Study, a cross-sectional study of adults aged 35–69 years residing in two cities in Russia, who had undergone both ECG and transthoracic echocardiography. LVSD was defined as left ventricular ejection fraction ≀ 35%. We assessed the performance of the AI-ECG to identify LVSD in this distinct patient population. Results - Among 4277 subjects in this external population-based validation study, 0.6% had LVSD (compared to 7.8% of the original clinical derivation study). The overall performance of the AI-ECG to detect LVSD was robust with an area under the receiver operating curve of 0.82. When using the LVSD probability cut-off of 0.256 from the original derivation study, the sensitivity, specificity, and accuracy in this population were 26.9%, 97.4%, 97.0%, respectively. Other probability cut-offs were analysed for different sensitivity values. Conclusions - The AI-ECG detected LVSD with robust test performance in a population that was very different from that used to develop the algorithm. Population-specific cut-offs may be necessary for clinical implementation. Differences in population characteristics, ECG and echocardiographic data quality may affect test performance

    Control of Extended Beam Dynamic Behavior by Means of Supports at Temperature Changes

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    Đ”ĐžĐœĐ°ĐŒĐžŃ‡Đ”ŃĐșĐŸĐ” ĐżĐŸĐČĐ”ĐŽĐ”ĐœĐžĐ” Đ±Đ°Đ»ĐŸŃ‡ĐœŃ‹Ń… ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоĐč про ĐżĐ”Ń€Đ”ĐŒĐ”ĐœĐœŃ‹Ń… ĐœĐ°ĐłŃ€ŃƒĐ·Đșах ĐČĐŸ ĐŒĐœĐŸĐłĐŸĐŒ ĐŸĐżŃ€Đ”ĐŽĐ”Đ»ŃĐ”Ń‚ŃŃ спДĐșŃ‚Ń€ĐŸĐŒ ох ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœŃ‹Ń… Ń‡Đ°ŃŃ‚ĐŸŃ‚ ĐžĐ·ĐłĐžĐ±ĐœŃ‹Ń… ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč, ĐČ ĐșĐŸŃ‚ĐŸŃ€ĐŸĐŒ ĐŸĐ±Ń‹Ń‡ĐœĐŸ ĐœĐ°ĐžĐ±ĐŸĐ»Đ”Đ” ĐŸĐżĐ°ŃĐœĐŸĐč яĐČĐ»ŃĐ”Ń‚ŃŃ пДрĐČая ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœĐ°Ń Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ°. Đ˜Đ·ĐŒĐ”ĐœĐ”ĐœĐžĐ” Ń‚Đ”ĐŒĐżĐ”Ń€Đ°Ń‚ŃƒŃ€Ń‹ Đ·Đ°ĐșŃ€Đ”ĐżĐ»Đ”ĐœĐœĐŸĐč балĐșĐž проĐČĐŸĐŽĐžŃ‚ Đș ĐżĐŸŃĐČĐ»Đ”ĐœĐžŃŽ ĐżŃ€ĐŸĐŽĐŸĐ»ŃŒĐœĐŸĐč сОлы, ĐșĐŸŃ‚ĐŸŃ€Đ°Ń ŃĐŒĐ”Ń‰Đ°Đ”Ń‚ спДĐșтр ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœŃ‹Ń… Ń‡Đ°ŃŃ‚ĐŸŃ‚ ĐžĐ·ĐłĐžĐ±ĐœŃ‹Ń… ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč ĐČ ĐŸĐżĐ°ŃĐœŃƒŃŽ Ń€Đ”Đ·ĐŸĐœĐ°ĐœŃĐœŃƒŃŽ ĐŸĐ±Đ»Đ°ŃŃ‚ŃŒ Đž ĐŒĐŸĐ¶Đ”Ń‚ ЎажД проĐČДстО Đș ĐżĐŸŃ‚Đ”Ń€Đ” ŃƒŃŃ‚ĐŸĐčчоĐČĐŸŃŃ‚Đž про ĐŽĐŸŃŃ‚ĐžĐ¶Đ”ĐœĐžĐž Дю ĐșрОтОчДсĐșĐŸĐłĐŸ Đ·ĐœĐ°Ń‡Đ”ĐœĐžŃ. Đ­Ń„Ń„Đ”ĐșтоĐČĐœŃ‹ĐŒ ŃĐżĐŸŃĐŸĐ±ĐŸĐŒ упраĐČĐ»Đ”ĐœĐžŃ ĐŽĐžĐœĐ°ĐŒĐžŃ‡Đ”ŃĐșĐžĐŒ ĐżĐŸĐČĐ”ĐŽĐ”ĐœĐžĐ”ĐŒ балĐșĐž яĐČĐ»ŃĐ”Ń‚ŃŃ ĐŸĐ±ĐŸŃĐœĐŸĐČĐ°ĐœĐœŃ‹Đč ĐČŃ‹Đ±ĐŸŃ€ ŃĐžŃŃ‚Đ”ĐŒŃ‹ ĐŸĐżĐŸŃ€, ĐŸĐŽĐœĐ°ĐșĐŸ ĐČ ĐžĐ·ĐČĐ”ŃŃ‚ĐœĐŸĐč Đ»ĐžŃ‚Đ”Ń€Đ°Ń‚ŃƒŃ€Đ” праĐșтОчДсĐșĐž ĐœĐ” Ń€Đ°ŃŃĐŒĐ°Ń‚Ń€ĐžĐČĐ°Đ”Ń‚ŃŃ таĐșĐŸĐč ĐżŃ€ĐŸĐ”ĐșŃ‚ĐœŃ‹Đč ĐżĐŸĐŽŃ…ĐŸĐŽ. В ĐŽĐ°ĐœĐœĐŸĐč Ń€Đ°Đ±ĐŸŃ‚Đ” ĐżŃ€Đ”ĐŽĐ»Đ°ĐłĐ°Đ”Ń‚ŃŃ ĐŒĐ”Ń‚ĐŸĐŽĐžĐșĐ° ĐŸĐ±ĐŸŃĐœĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐČŃ‹Đ±ĐŸŃ€Đ° ŃŃ…Đ”ĐŒŃ‹ Đ·Đ°ĐșŃ€Đ”ĐżĐ»Đ”ĐœĐžŃ ĐŽĐ»Ń ĐżŃ€ŃĐŒĐŸĐ»ĐžĐœĐ”ĐčĐœŃ‹Ń… ĐŒĐœĐŸĐłĐŸĐŸĐżĐŸŃ€ĐœŃ‹Ń… Đ±Đ°Đ»ĐŸĐș с Ń†Đ”Đ»ŃŒŃŽ ĐŸĐ±Đ”ŃĐżĐ”Ń‡Đ”ĐœĐžŃ Đ·Đ°ĐŽĐ°ĐœĐœŃ‹Ń… Đ·ĐœĐ°Ń‡Đ”ĐœĐžĐč пДрĐČĐŸĐč Ń‡Đ°ŃŃ‚ĐŸŃ‚Ń‹ ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœŃ‹Ń… ĐžĐ·ĐłĐžĐ±ĐœŃ‹Ń… ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč Đž пДрĐČĐŸĐč ĐșрОтОчДсĐșĐŸĐč ĐœĐ°ĐłŃ€ŃƒĐ·ĐșĐž ĐŸŃ‚ ĐŽĐ”ĐčстĐČоя ĐŸŃĐ”ĐČĐŸĐč сОлы, ĐČŃ‹Đ·ĐČĐ°ĐœĐœĐŸĐč ĐžĐ·ĐŒĐ”ĐœĐ”ĐœĐžĐ”ĐŒ Ń‚Đ”ĐŒĐżĐ”Ń€Đ°Ń‚ŃƒŃ€Ń‹ балĐșĐž. ĐœĐ”Ń‚ĐŸĐŽĐžĐșĐ° ĐŸŃĐœĐŸĐČĐ°ĐœĐ° ĐœĐ° ОзĐČĐ”ŃŃ‚ĐœŃ‹Ń… ĐżĐŸĐ»ĐŸĐ¶Đ”ĐœĐžŃŃ… Ń‚Đ”ĐŸŃ€ĐžĐž ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč Đ±Đ°Đ»ĐŸĐș, Ń‚Đ”ĐŸŃ€ĐžĐž ŃƒŃŃ‚ĐŸĐčчоĐČĐŸŃŃ‚Đž ĐżĐŸ Đ­ĐčĐ»Đ”Ń€Ńƒ Đž ĐžŃĐżĐŸĐ»ŃŒĐ·ŃƒĐ”Ń‚ ĐČ ĐșачДстĐČĐ” ĐșŃ€ĐžŃ‚Đ”Ń€ĐžŃ ĐČŃ‹Đ±ĐŸŃ€Đ° ŃŃ…Đ”ĐŒŃ‹ Đ·Đ°ĐșŃ€Đ”ĐżĐ»Đ”ĐœĐžŃ ĐșĐŸŃŃ„Ń„ĐžŃ†ĐžĐ”ĐœŃ‚Ń‹ ĐŸĐżĐŸŃ€, ĐșĐŸŃ‚ĐŸŃ€Ń‹Đ” прДЎĐČĐ°Ń€ĐžŃ‚Đ”Đ»ŃŒĐœĐŸ ĐœĐŸŃ€ĐŒĐžŃ€ŃƒŃŽŃ‚ŃŃ ĐŽĐ»Ń ĐŽĐŸŃŃ‚ĐžĐ¶Đ”ĐœĐžŃ ŃĐŸĐżĐŸŃŃ‚Đ°ĐČĐžĐŒŃ‹Ń… Đ·ĐœĐ°Ń‡Đ”ĐœĐžĐč. Đ’Ń‹Đ±Ń€Đ°ĐœĐœĐ°Ń ŃŃ…Đ”ĐŒĐ° ĐŸĐ±Đ”ŃĐżĐ”Ń‡ĐžĐČаДт Đ·Đ°ĐŽĐ°ĐœĐœĐŸĐ” Đ·ĐœĐ°Ń‡Đ”ĐœĐžĐ” пДрĐČĐŸĐč ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœĐŸĐč Ń‡Đ°ŃŃ‚ĐŸŃ‚Ń‹ ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč, ĐČĐ”Đ»ĐžŃ‡ĐžĐœŃƒ пДрĐČĐŸĐč ĐșрОтОчДсĐșĐŸĐč Ń‚Đ”ĐŒĐżĐ”Ń€Đ°Ń‚ŃƒŃ€Ń‹ ОлО ĐŸĐŽĐœĐŸĐČŃ€Đ”ĐŒĐ”ĐœĐœĐŸ ĐŸĐ±Đ° ŃƒŃĐ»ĐŸĐČоя Ń€Đ°Đ±ĐŸŃ‚ĐŸŃĐżĐŸŃĐŸĐ±ĐœĐŸŃŃ‚Đž. ĐĄĐŸĐłĐ»Đ°ŃĐœĐŸ Ń€Đ°Đ·Ń€Đ°Đ±ĐŸŃ‚Đ°ĐœĐœĐŸĐč ĐŒĐ”Ń‚ĐŸĐŽĐžĐșĐ” ĐČŃ‹ĐżĐŸĐ»ĐœĐ”ĐœŃ‹ сраĐČĐœĐžŃ‚Đ”Đ»ŃŒĐœŃ‹Đ” расчДты ĐżŃ€ŃĐŒĐŸĐłĐŸ Ń‚Ń€ŃƒĐ±ĐŸĐżŃ€ĐŸĐČĐŸĐŽĐ° ĐŒĐ”Ń‚ĐŸĐŽĐŸĐŒ ĐșĐŸĐœĐ”Ń‡ĐœŃ‹Ń… ŃĐ»Đ”ĐŒĐ”ĐœŃ‚ĐŸĐČ ĐŽĐ»Ń Đ±Đ°Đ»ĐŸŃ‡ĐœĐŸĐč Đž ĐŸĐ±ĐŸĐ»ĐŸŃ‡Đ”Ń‡ĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đ”Đč, ĐșĐŸŃ‚ĐŸŃ€Ń‹Đ” ĐżĐŸĐșазалО Ń…ĐŸŃ€ĐŸŃˆŃƒŃŽ ŃŃ…ĐŸĐŽĐžĐŒĐŸŃŃ‚ŃŒ Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐŸĐČ ĐżĐŸ ĐČŃĐ”ĐŒ ĐșĐŸĐœŃ‚Ń€ĐŸĐ»ĐžŃ€ŃƒĐ”ĐŒŃ‹ĐŒ ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€Đ°ĐŒ. ĐŸŃ€Đ”ĐŽĐ»ĐŸĐ¶Đ”ĐœĐœŃ‹Đč ĐżĐŸĐŽŃ…ĐŸĐŽ ĐŒĐŸĐ¶Đ”Ń‚ Đ±Ń‹Ń‚ŃŒ ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°Đœ про ĐżŃ€ĐŸĐ”ĐșŃ‚ĐžŃ€ĐŸĐČĐ°ĐœĐžĐž ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоĐč ĐżŃ€ĐŸŃ‚ŃĐ¶Đ”ĐœĐœŃ‹Ń… Đ±Đ°Đ»ĐŸŃ‡ĐœŃ‹Ń… ĐșĐŸĐœŃŃ‚Ń€ŃƒĐșцоĐč ĐŽĐ»Ń упраĐČĐ»Đ”ĐœĐžŃ Đ»ŃŽĐ±ĐŸĐč ох ŃĐŸĐ±ŃŃ‚ĐČĐ”ĐœĐœĐŸĐč Ń‡Đ°ŃŃ‚ĐŸŃ‚Ń‹ спДĐșтра ĐșĐŸĐ»Đ”Đ±Đ°ĐœĐžĐč Đž ĐșрОтОчДсĐșĐŸĐč сОлы (ОлО Ń‚Đ”ĐŒĐżĐ”Ń€Đ°Ń‚ŃƒŃ€Ń‹) ĐżĐŸŃŃ€Đ”ĐŽŃŃ‚ĐČĐŸĐŒ ĐŸĐ±ĐŸŃĐœĐŸĐČĐ°ĐœĐœĐŸĐłĐŸ ĐČŃ‹Đ±ĐŸŃ€Đ° ŃĐŸĐŸŃ‚ĐČДтстĐČŃƒŃŽŃ‰Đ”Đč ŃĐžŃŃ‚Đ”ĐŒŃ‹ ĐŸĐżĐŸŃ€The dynamic behavior of beam structures at transient loads is largely determined by the spectrum of their natural frequencies of bending vibrations, in which the first natural frequency is usually the most dangerous. Changing the beam temperature results in a longitudinal force that shifts the spectrum of natural frequencies of bending vibrations into a dangerous resonant area and can even lead to a loss of beam stability when it reaches a critical value. An effective way to control the dynamic behavior of the beam is the reasonable choice of the support system, however, such a design approach is practically not considered in the known literature. This paper proposes a method of reasonable selection of a support scheme for rectilinear multi-span beams in order to provide the given values of the first eigen frequency of bending vibrations and the first critical load due to the action of axial force caused by changing the temperature of the beam. The technique is based on the known positions of beam vibration theory, Euler stability theory and uses support coefficients, which are pre-normalized to achieve comparable values, as a criterion for selecting the support scheme. The selected support scheme provides the specified value of the first eigen frequency, the value of the first critical temperature, or both at the same time. According to the developed methodology, comparative calculations of the pipeline by the finite element method for beam and shell models were carried out, which showed good convergence of results for all controlled parameters. The proposed approach can be used in designing structures of extended beams for control of their own frequency of the spectrum of vibrations and critical force (or temperature) by means of a reasonable selection of appropriate support system

    Search for CP violation in D+→ϕπ+ and D+s→K0Sπ+ decays

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    A search for CP violation in D + → ϕπ + decays is performed using data collected in 2011 by the LHCb experiment corresponding to an integrated luminosity of 1.0 fb−1 at a centre of mass energy of 7 TeV. The CP -violating asymmetry is measured to be (−0.04 ± 0.14 ± 0.14)% for candidates with K − K + mass within 20 MeV/c 2 of the ϕ meson mass. A search for a CP -violating asymmetry that varies across the ϕ mass region of the D + → K − K + π + Dalitz plot is also performed, and no evidence for CP violation is found. In addition, the CP asymmetry in the D+s→K0Sπ+ decay is measured to be (0.61 ± 0.83 ± 0.14)%

    Differential branching fraction and angular analysis of the decay B0→K∗0ÎŒ+Ό−

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    The angular distribution and differential branching fraction of the decay B 0→ K ∗0 ÎŒ + ÎŒ − are studied using a data sample, collected by the LHCb experiment in pp collisions at s√=7 TeV, corresponding to an integrated luminosity of 1.0 fb−1. Several angular observables are measured in bins of the dimuon invariant mass squared, q 2. A first measurement of the zero-crossing point of the forward-backward asymmetry of the dimuon system is also presented. The zero-crossing point is measured to be q20=4.9±0.9GeV2/c4 , where the uncertainty is the sum of statistical and systematic uncertainties. The results are consistent with the Standard Model predictions

    Model-independent search for CP violation in D0→K−K+π−π+ and D0→π−π+π+π− decays

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    A search for CP violation in the phase-space structures of D0 and View the MathML source decays to the final states K−K+π−π+ and π−π+π+π− is presented. The search is carried out with a data set corresponding to an integrated luminosity of 1.0 fb−1 collected in 2011 by the LHCb experiment in pp collisions at a centre-of-mass energy of 7 TeV. For the K−K+π−π+ final state, the four-body phase space is divided into 32 bins, each bin with approximately 1800 decays. The p-value under the hypothesis of no CP violation is 9.1%, and in no bin is a CP asymmetry greater than 6.5% observed. The phase space of the π−π+π+π− final state is partitioned into 128 bins, each bin with approximately 2500 decays. The p-value under the hypothesis of no CP violation is 41%, and in no bin is a CP asymmetry greater than 5.5% observed. All results are consistent with the hypothesis of no CP violation at the current sensitivity
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