591 research outputs found

    Osmotic pressure induced coupling between cooperativity and stability of a helix-coil transition

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    Most helix-coil transition theories can be characterized by a set of three parameters: energetic, describing the (free) energy cost of forming a helical state in one repeating unit; entropic, accounting for the decrease of entropy due to the helical state formation; and geometric, indicating how many repeating units are affected by the formation of one helical state. Depending on their effect on the helix-coil transition, solvents or co-solutes can be classified with respect to their action on these parameters. Solvent interactions that alter the entropic cost of helix formation by their osmotic action can affect both the stability (transition temperature) and the cooperativity (transition interval) of the helix-coil transition. A consistent inclusion of osmotic pressure effects in a description of helix-coil transition for poly(L-glutamic acid) in solution with polyethylene glycol can offer an explanation of the experimentally observed linear dependence of transition temperature on osmotic pressure as well as the concurrent changes in the cooperativity of the transition.Comment: 5 pages, 3 figures. To be submitted to Phys.Rev.Let

    Competition for hydrogen bond formation in the helix-coil transition and protein folding

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    The problem of the helix-coil transition of biopolymers in explicit solvents, like water, with the ability for hydrogen bonding with solvent is addressed analytically using a suitably modified version of the Generalized Model of Polypeptide Chains. Besides the regular helix-coil transition, an additional coil-helix or reentrant transition is also found at lower temperatures. The reentrant transition arises due to competition between polymer-polymer and polymer-water hydrogen bonds. The balance between the two types of hydrogen bonding can be shifted to either direction through changes not only in temperature, but also by pressure, mechanical force, osmotic stress or other external influences. Both polypeptides and polynucleotides are considered within a unified formalism. Our approach provides an explanation of the experimental difficulty of observing the reentrant transition with pressure; and underscores the advantage of pulling experiments for studies of DNA. Results are discussed and compared with those reported in a number of recent publications with which a significant level of agreement is obtained.Comment: 21 pages, 3 figures, submitted to Phys Rev

    Analysis of the russian market of software products for real estate management

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    Active sanctions against Russia, including in the field of information technology, lead to a situation where the dependence of organizations on software products non-Russian origin may be a serious problem. Consequently, the task of analyzing the Russian software market, to which this article is devoted, seems relevant. The authors have reviewed one of the software classes – automation systems for real estate management, Computer Aided Facilities Management (hereinafter – CAFM-systems) in a foreign terminology. The article deals with the evaluation and ranking of software products, on the basis of which recommendations for their use in projects are formulated. For this purpose, a list has been formed consisting of twelve Russian CAFM-systems registered in the Unified Register of Russian Computer Programs and Databases; a set of evaluation parameters has been developed, divided into two groups – functional and non-functional parameters; an evaluation methodology using mathematical decision-making methods has been proposed; a group of experts has been formed; an expert evaluation and ranking of systems according to the developed methodology was conducted; a rating of systems with an indication of the companies-developers has been built. The results of the study show that the Russian market of CAFM-systems has been formed and provides customers interested in software products of this class with a fairly wide range of alternatives for choice. The conducted research, on the one hand, has practical value for specialists working with such software products, and, on the other hand, scientific value expressed in the proposed holistic methodology of market analysis, which can be extended to other types of software products by specifying a set of comparison parameters

    Charged-particle multiplicities in pppp interactions at s\sqrt{s} = 900 GeV measured with the ATLAS detector at the LHC

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    The first measurements from proton-proton collisions recorded with the ATLAS detector at the LHC are presented. Data were collected in December 2009 using a minimum-bias trigger during collisions at a centre-of-mass energy of 900 GeV. The charged-particle multiplicity, its dependence on transverse momentum and pseudorapidity, and the relationship between mean transverse momentum and charged-particle multiplicity are measured for events with at least one charged particle in the kinematic range |eta|500 MeV. The measurements are compared to Monte Carlo models of proton-proton collisions and to results from other experiments at the same centre-of-mass energy. The charged-particle multiplicity per event and unit of pseudorapidity at eta = 0 is measured to be 1.333 +/- 0.003 (stat.) +/- 0.040 (syst.), which is 5-15% higher than the Monte Carlo models predict.publishedVersio

    ĐžĐżŃ‚ĐžĐŒĐžĐ·Đ°Ń†ĐžŃ ĐŽĐžĐ°ĐłĐœĐŸŃŃ‚ĐžŃ‡Đ”ŃĐșĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž ĐŽĐ»Ń ĐżŃ€ĐŸĐłĐœĐŸĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐžŃ ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚Đž Ń…ĐžĐŒĐžĐŸĐ»ŃƒŃ‡Đ”ĐČĐŸĐč тДрапОО раĐșĐ° шДĐčĐșĐž ĐŒĐ°Ń‚ĐșĐž ĐœĐ° ĐłŃ€ŃƒĐżĐżĐ” ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐČ Ń ĐșĐŸĐŒĐŸŃ€Đ±ĐžĐŽĐœŃ‹ĐŒĐž ŃĐŸŃŃ‚ĐŸŃĐœĐžŃĐŒĐž: ĐșĐŸĐłĐŸŃ€Ń‚ĐœĐŸĐ” ĐŸĐŽĐœĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČĐŸĐ” Ń€Đ”Ń‚Ń€ĐŸŃĐżĐ”ĐșтоĐČĐœĐŸĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ”

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    INTRODUCTION: Radiomics is a promising area of diagnostics. In clinical practice, ultrasound and magnetic resonance imaging are widely used for Cervical Cancer (CC). The lack of standards when carrying out examinations entails the problem of distinguishing different signs, i.e. there is no possibility to compare results of different institutions.OBJECTIVE: To review radiological diagnostic procedures and optimize a model to enable expanded large-scale multicentre mathematical analysis of radiological findings in comorbid women with CC.MATERIALS AND METHODS: The data from 362 magnetic resonance imaging (MRI) procedures (Philips Achieva, The Netherlands, 1.5T), 500 pelvic ultrasound procedures (US), and 500 retroperitoneal US in 77 comorbid women with cervical squamous cell cancer and cardiovascular disease, carried out between 2012 and 2022, were retrospectively examined. FIGO pretreatment stage 1А–4А. Age: 48.3±13.1. Follow-up period: 3.7±1.3 years.Statistics: Data analysis was carried out using the Stata 13 program (StataCorpLP, CollegeStation, TX, USA). The normality of the distribution of features was assessed using the Shapiro-Wilk criterion. The condition of equality of variances of the distribution of features was calculated according to the Leven criterion. For descriptive statistics of normally distributed features with equality of variances, the calculation of averages and standard deviations was used. Qualitative variables are represented as numbers (%). Logistic regression is performed. The significance level for all the methods used is set as p<0.05.RESULTS: The possibility of segmentation was 2.6% according to US and 100% according to MRI. We analyzed 1443 T2 TSE, 531 T1 TSE, 563 diffusion-weighted images (DWI), 389 STIR, 1987 post-contrast series (in 272 cases (75%) the study was accompanied by contrast agent administration). An MRI model for subsequent feature extraction in patients with CC should consist of T2TSE in the sagittal plane, DWI in the axial plane with automatic construction of apparent diffusion coefficient (ADC) maps.The most reproducible and valuable components of the model are found to be the DWI with automatic ADC map. The ADC value from the parametral fat significantly increased the probability of recurrence, and the cut-off point for ROC analysis was 1.1×10–3 mm2/sec.DISCUSSION: An analysis of medical ultrasound and MRI images in terms of their value for radiomics was carried out. According to the results, MRI is the preferred method. An important next step is to standardize series to extract additional value from diagnostic studies and to carry out multicentre retrospective studies using a multicomponent model.CONCLUSIONS: MRI is a reproducible and frequently used method with the ability to extract additional value from images. T2 TSE in the sagittal plane and DWI in the axial plane with automatic ADC map, followed by segmentation of the parametral area adjacent to the tumor, are considered the most frequently used techniques. Postcontrast imaging are not a reproducible technique and have no added value. A model MRI procedure to determine additional textural characteristics in patients with ĐĄĐĄ consists of T2-TSE in the sagittal plane, DWI in the axial plane with automatic ADC map.ВВЕДЕНИЕ: ĐŸĐ”Ń€ŃĐżĐ”ĐșтоĐČĐœŃ‹ĐŒ ĐœĐ°ĐżŃ€Đ°ĐČĐ»Đ”ĐœĐžĐ”ĐŒ ĐČ ĐŽĐžĐ°ĐłĐœĐŸŃŃ‚ĐžĐșĐ” яĐČĐ»ŃĐ”Ń‚ŃŃ Ń€Đ°ĐŽĐžĐŸĐŒĐžĐșĐ°. В ĐșĐ»ĐžĐœĐžŃ‡Đ”ŃĐșĐŸĐč праĐșтоĐșĐ” про Đ·Đ»ĐŸĐșачДстĐČĐ”ĐœĐœĐŸĐŒ ĐœĐŸĐČĐŸĐŸĐ±Ń€Đ°Đ·ĐŸĐČĐ°ĐœĐžĐž шДĐčĐșĐž ĐŒĐ°Ń‚ĐșĐž (ЗНО йМ) ŃˆĐžŃ€ĐŸĐșĐŸ ĐžŃĐżĐŸĐ»ŃŒĐ·ŃƒĐ”Ń‚ŃŃ ŃƒĐ»ŃŒŃ‚Ń€Đ°Đ·ĐČуĐșĐŸĐČая Đž ĐŒĐ°ĐłĐœĐžŃ‚ĐœĐŸ-Ń€Đ”Đ·ĐŸĐœĐ°ĐœŃĐœĐ°Ń ĐŽĐžĐ°ĐłĐœĐŸŃŃ‚ĐžĐșĐ°. ОтсутстĐČОД ŃŃ‚Đ°ĐœĐŽĐ°Ń€Ń‚ĐŸĐČ ĐżŃ€Đž ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐžĐž ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč ĐČлДчДт ĐżŃ€ĐŸĐ±Đ»Đ”ĐŒŃƒ ĐČŃ‹ĐŽĐ”Đ»Đ”ĐœĐžŃ Ń€Đ°Đ·Đ»ĐžŃ‡ĐœŃ‹Ń… ĐżŃ€ĐžĐ·ĐœĐ°ĐșĐŸĐČ, Ń‚ĐŸ Đ”ŃŃ‚ŃŒ ĐŸŃ‚ŃŃƒŃ‚ŃŃ‚ĐČОД ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚Đž ŃĐŸĐżĐŸŃŃ‚Đ°ĐČĐ»Đ”ĐœĐžŃ Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐŸĐČ Ń€Đ°Đ±ĐŸŃ‚ Ń€Đ°Đ·ĐœŃ‹Ń… ŃƒŃ‡Ń€Đ”Đ¶ĐŽĐ”ĐœĐžĐč.ЩЕЛЬ: ĐŸŃ€ĐŸĐ°ĐœĐ°Đ»ĐžĐ·ĐžŃ€ĐŸĐČать ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€Ń‹ Đ»ŃƒŃ‡Đ”ĐČĐŸĐč ĐŽĐžĐ°ĐłĐœĐŸŃŃ‚ĐžĐșĐž Đž ĐŸĐżŃ‚ĐžĐŒĐžĐ·ĐžŃ€ĐŸĐČать ĐŒĐŸĐŽĐ”Đ»ŃŒ ĐŽĐ»Ń ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚Đž Ń€Đ°ŃŃˆĐžŃ€Đ”ĐœĐœĐŸĐłĐŸ ĐŒĐ°ŃŃˆŃ‚Đ°Đ±ĐœĐŸĐłĐŸ ĐŒĐœĐŸĐłĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČĐŸĐłĐŸ ĐŒĐ°Ń‚Đ”ĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșĐŸĐłĐŸ Đ°ĐœĐ°Đ»ĐžĐ·Đ° Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐŸĐČ Đ»ŃƒŃ‡Đ”ĐČых ĐŒĐ”Ń‚ĐŸĐŽĐŸĐČ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ у ĐșĐŸĐŒĐŸŃ€Đ±ĐžĐŽĐœŃ‹Ń… ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐș ŃĐŸ ЗНО йМ.ĐœĐĐąĐ•Đ Đ˜ĐĐ›Đ« И ĐœĐ•ĐąĐžĐ”Đ«: Đ Đ”Ń‚Ń€ĐŸŃĐżĐ”ĐșтоĐČĐœĐŸ ĐžĐ·ŃƒŃ‡Đ”ĐœŃ‹ ĐŽĐ°ĐœĐœŃ‹Đ” 362 ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€ ĐŒĐ°ĐłĐœĐžŃ‚ĐœĐŸ-Ń€Đ”Đ·ĐŸĐœĐ°ĐœŃĐœĐŸĐč Ń‚ĐŸĐŒĐŸĐłŃ€Đ°Ń„ĐžĐž (МРб) (Philips Achieva, ĐĐžĐŽĐ”Ń€Đ»Đ°ĐœĐŽŃ‹, 1.5T), 500 ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€ ŃƒĐ»ŃŒŃ‚Ń€Đ°Đ·ĐČуĐșĐŸĐČĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ (УЗИ) ĐŸŃ€ĐłĐ°ĐœĐŸĐČ ĐŒĐ°Đ»ĐŸĐłĐŸ Ń‚Đ°Đ·Đ°, 500 ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€ УЗИ Đ·Đ°Đ±Ń€ŃŽŃˆĐžĐœĐœĐŸĐłĐŸ ĐżŃ€ĐŸŃŃ‚Ń€Đ°ĐœŃŃ‚ĐČĐ° у 77 ĐșĐŸĐŒĐŸŃ€Đ±ĐžĐŽĐœŃ‹Ń… ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐș с ĐżĐ»ĐŸŃĐșĐŸĐșĐ»Đ”Ń‚ĐŸŃ‡ĐœŃ‹ĐŒ ЗНО йМ Đž ŃĐ”Ń€ĐŽĐ”Ń‡ĐœĐŸ-ŃĐŸŃŃƒĐŽĐžŃŃ‚ĐŸĐč ĐżĐ°Ń‚ĐŸĐ»ĐŸĐłĐžĐ”Đč, ĐČŃ‹ĐżĐŸĐ»ĐœĐ”ĐœĐœŃ‹Đ” ĐČ 2012–2022 гг. СтаЮоя ĐżĐŸ FIGO ĐŽĐŸ Đ»Đ”Ń‡Đ”ĐœĐžŃ — 1А–4А. Đ’ĐŸĐ·Ń€Đ°ŃŃ‚ — 48,3±13,1 ĐłĐŸĐŽĐ°. ĐŸĐ”Ń€ĐžĐŸĐŽ ĐœĐ°Đ±Đ»ŃŽĐŽĐ”ĐœĐžŃ — 3,7±1,3 ĐłĐŸĐŽĐ°.СтатостоĐșĐ°: ĐĐœĐ°Đ»ĐžĐ· ĐŽĐ°ĐœĐœŃ‹Ń… ĐżŃ€ĐŸĐČĐŸĐŽĐžĐ»ŃŃ с ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžĐ”ĐŒ ĐżŃ€ĐŸĐłŃ€Đ°ĐŒĐŒŃ‹ Stata 13 (StataCorpLP, CollegeStation, TX, USA). ĐĐŸŃ€ĐŒĐ°Đ»ŃŒĐœĐŸŃŃ‚ŃŒ Ń€Đ°ŃĐżŃ€Đ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐżŃ€ĐžĐ·ĐœĐ°ĐșĐŸĐČ ĐŸŃ†Đ”ĐœĐžĐČĐ°Đ»Đ°ŃŃŒ с ĐżĐŸĐŒĐŸŃ‰ŃŒŃŽ ĐșŃ€ĐžŃ‚Đ”Ń€ĐžŃ ĐšĐ°ĐżĐžŃ€ĐŸâ€“ĐŁĐžĐ»ĐșĐ°. ĐŁŃĐ»ĐŸĐČОД раĐČĐ”ĐœŃŃ‚ĐČĐ° ЎОспДрсОĐč Ń€Đ°ŃĐżŃ€Đ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐżŃ€ĐžĐ·ĐœĐ°ĐșĐŸĐČ Ń€Đ°ŃŃŃ‡ĐžŃ‚Ń‹ĐČĐ°Đ»ĐŸŃŃŒ ĐżĐŸ ĐșрОтДрОю ЛДĐČĐ”ĐœĐ°. Đ”Đ»Ń ĐŸĐżĐžŃĐ°Ń‚Đ”Đ»ŃŒĐœĐŸĐč статостоĐșĐž ĐœĐŸŃ€ĐŒĐ°Đ»ŃŒĐœĐŸ Ń€Đ°ŃĐżŃ€Đ”ĐŽĐ”Đ»Đ”ĐœĐœŃ‹Ń… ĐżŃ€ĐžĐ·ĐœĐ°ĐșĐŸĐČ Ń раĐČĐ”ĐœŃŃ‚ĐČĐŸĐŒ ЎОспДрсОĐč ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°Đ»ĐŸŃŃŒ ĐČŃ‹Ń‡ĐžŃĐ»Đ”ĐœĐžĐ” ŃŃ€Đ”ĐŽĐœĐžŃ… Đ·ĐœĐ°Ń‡Đ”ĐœĐžĐč Đž ŃŃ‚Đ°ĐœĐŽĐ°Ń€Ń‚ĐœŃ‹Ń… ĐŸŃ‚ĐșĐ»ĐŸĐœĐ”ĐœĐžĐč. КачДстĐČĐ”ĐœĐœŃ‹Đ” ĐżĐ”Ń€Đ”ĐŒĐ”ĐœĐœŃ‹Đ” прДЎстаĐČĐ»Đ”ĐœŃ‹ ĐČ ĐČОЎД чОсДл (%). Đ’Ń‹ĐżĐŸĐ»ĐœĐ”ĐœĐ° Đ»ĐŸĐłĐžŃŃ‚ĐžŃ‡Đ”ŃĐșая Ń€Đ”ĐłŃ€Đ”ŃŃĐžŃ. ĐŁŃ€ĐŸĐČĐ”ĐœŃŒ Đ·ĐœĐ°Ń‡ĐžĐŒĐŸŃŃ‚Đž ĐŽĐ»Ń ĐČсДх ĐžŃĐżĐŸĐ»ŃŒĐ·ŃƒŃŽŃ‰ĐžŃ…ŃŃ ĐŒĐ”Ń‚ĐŸĐŽĐŸĐČ ŃƒŃŃ‚Đ°ĐœĐŸĐČĐ»Đ”Đœ ĐșĐ°Đș p<0,05.РЕЗУЛЏйАйЫ: ĐŸĐŸ ĐŽĐ°ĐœĐœŃ‹ĐŒ УЗИ ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚ŃŒ ŃĐ”ĐłĐŒĐ”ĐœŃ‚Đ°Ń†ĐžĐž была ĐČ 2,6%, ĐżĐŸ ĐŽĐ°ĐœĐœŃ‹ĐŒ МРб — ĐČ 100%. ĐŸŃ€ĐŸĐ°ĐœĐ°Đ»ĐžĐ·ĐžŃ€ĐŸĐČĐ°ĐœĐŸ 1443 T2 TSE, 531 T1 TSE, 563 ĐŽĐžŃ„Ń„ŃƒĐ·ĐžĐŸĐœĐœĐŸ-ĐČĐ·ĐČĐ”ŃˆĐ”ĐœĐœŃ‹Ń… ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžĐč (ДВИ), 389 STIR, 1987 ĐżĐŸŃŃ‚ĐșĐŸĐœŃ‚Ń€Đ°ŃŃ‚ĐœŃ‹Ń… сДрОĐč (ĐČ 272 ŃĐ»ŃƒŃ‡Đ°ŃŃ… (75%) ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” ŃĐŸĐżŃ€ĐŸĐČĐŸĐ¶ĐŽĐ°Đ»ĐŸŃŃŒ ĐČĐČĐ”ĐŽĐ”ĐœĐžĐ”ĐŒ ĐșĐŸĐœŃ‚Ń€Đ°ŃŃ‚ĐœĐŸĐłĐŸ ĐČДщДстĐČĐ°). ĐœĐŸĐŽĐ”Đ»ŃŒ МРб ĐŽĐ»Ń ĐżĐŸŃĐ»Đ”ĐŽŃƒŃŽŃ‰Đ”ĐłĐŸ ОзĐČĐ»Đ”Ń‡Đ”ĐœĐžŃ ĐżŃ€ĐžĐ·ĐœĐ°ĐșĐŸĐČ Ńƒ Đ±ĐŸĐ»ŃŒĐœŃ‹Ń… ЗНО йМ ĐŽĐŸĐ»Đ¶ĐœĐ° ŃĐŸŃŃ‚ĐŸŃŃ‚ŃŒ Оз Đą2-ĐČĐ·ĐČĐ”ŃˆĐ”ĐœĐœŃ‹Ń… ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžĐč ĐČ ŃĐ°ĐłĐžŃ‚Ń‚Đ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž, ДВИ ĐČ Đ°ĐșŃĐžĐ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž с Đ°ĐČŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșĐžĐŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžĐ”ĐŒ Đșарт ĐžĐ·ĐŒĐ”Ń€ŃĐ”ĐŒĐŸĐłĐŸ ĐșĐŸŃŃ„Ń„ĐžŃ†ĐžĐ”ĐœŃ‚Đ° ĐŽĐžŃ„Ń„ŃƒĐ·ĐžĐž (ИКД).ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” ĐČĐŸŃĐżŃ€ĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒŃ‹ĐŒĐž Đž Ń†Đ”ĐœĐœŃ‹ĐŒĐž ŃĐŸŃŃ‚Đ°ĐČĐ»ŃŃŽŃ‰ĐžĐŒĐž ĐŒĐŸĐŽĐ”Đ»Đž ĐżŃ€ĐžĐ·ĐœĐ°ĐœŃ‹ ДВИ с Đ°ĐČŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșĐžĐŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžĐ”ĐŒ Đșарт ИКД. Đ—ĐœĐ°Ń‡Đ”ĐœĐžĐ” ИКД ĐŸŃ‚ Đ·ĐŸĐœŃ‹ ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€Đ°Đ»ŃŒĐœĐŸĐč ĐșлДтчатĐșĐž Đ·ĐœĐ°Ń‡ĐžĐŒĐŸ уĐČДлОчОĐČĐ°Đ»ĐŸ ĐČĐ”Ń€ĐŸŃŃ‚ĐœĐŸŃŃ‚ŃŒ рДцОЎОĐČĐ°, Đ° про ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐžĐž ROC-Đ°ĐœĐ°Đ»ĐžĐ·Đ° Ń‚ĐŸŃ‡ĐșĐ° ĐŸŃ‚ŃĐ”Ń‡Đ”ĐœĐžŃ ŃĐŸŃŃ‚Đ°ĐČОла 1,1×10–3 ĐŒĐŒ2/с.ОБСУЖДЕНИЕ: ĐŸŃ€ĐŸĐČĐ”ĐŽĐ”Đœ Đ°ĐœĐ°Đ»ĐžĐ· ĐŒĐ”ĐŽĐžŃ†ĐžĐœŃĐșох ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžĐč УЗИ Đž МРб ĐČ ĐżĐ»Đ°ĐœĐ” ох Ń†Đ”ĐœĐœĐŸŃŃ‚Đž ĐŽĐ»Ń Ń€Đ°ĐŽĐžĐŸĐŒĐžĐșĐž. ĐŸĐŸ Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Đ°ĐŒ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ МРб яĐČĐ»ŃĐ”Ń‚ŃŃ ĐżŃ€Đ”ĐŽĐżĐŸŃ‡Ń‚ĐžŃ‚Đ”Đ»ŃŒĐœŃ‹ĐŒ ĐŒĐ”Ń‚ĐŸĐŽĐŸĐŒ. ĐĄĐ»Đ”ĐŽŃƒŃŽŃ‰ĐžĐč ĐČĐ°Đ¶ĐœŃ‹Đč шаг — ŃŃ‚Đ°ĐœĐŽĐ°Ń€Ń‚ĐžĐ·Đ°Ń†ĐžŃ сДрОĐč ĐŽĐ»Ń ОзĐČĐ»Đ”Ń‡Đ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃ‚Đ”Đ»ŃŒĐœĐŸĐč Ń†Đ”ĐœĐœĐŸŃŃ‚Đž Оз ĐŽĐžĐ°ĐłĐœĐŸŃŃ‚ĐžŃ‡Đ”ŃĐșох ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč Đž ĐżŃ€ĐŸĐČĐ”ĐŽĐ”ĐœĐžĐ” ĐŒĐœĐŸĐłĐŸŃ†Đ”ĐœŃ‚Ń€ĐŸĐČых Ń€Đ”Ń‚Ń€ĐŸŃĐżĐ”ĐșтоĐČĐœŃ‹Ń… ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč с ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžĐ”ĐŒ ĐŒĐœĐŸĐłĐŸĐșĐŸĐŒĐżĐŸĐœĐ”ĐœŃ‚ĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž.ЗАКЛмЧЕНИЕ: Đ’ĐŸŃĐżŃ€ĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒŃ‹ĐŒ Đž Ń‡Đ°ŃŃ‚ĐŸ ĐžŃĐżĐŸĐ»ŃŒĐ·ŃƒĐ”ĐŒŃ‹ĐŒ ĐŒĐ”Ń‚ĐŸĐŽĐŸĐŒ с ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃ‚ŃŒŃŽ ОзĐČĐ»Đ”Ń‡Đ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃ‚Đ”Đ»ŃŒĐœĐŸĐč Ń†Đ”ĐœĐœĐŸŃŃ‚Đž Оз ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžĐč ĐżŃ€ĐžĐ·ĐœĐ°ĐœĐ° МРб. ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” Ń‡Đ°ŃŃ‚ĐŸ ĐžŃĐżĐŸĐ»ŃŒĐ·ŃƒĐ”ĐŒŃ‹ĐŒĐž ĐŒĐ”Ń‚ĐŸĐŽĐžĐșĐ°ĐŒĐž ĐżŃ€ĐžĐ·ĐœĐ°ĐœŃ‹ Đą2 TSE ĐČ ŃĐ°ĐłĐžŃ‚Ń‚Đ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž Đž ДВИ ĐČ Đ°ĐșŃĐžĐ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž с Đ°ĐČŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșĐžĐŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžĐ”ĐŒ Đșарт ИКД с ĐżĐŸŃĐ»Đ”ĐŽŃƒŃŽŃ‰Đ”Đč ŃĐ”ĐłĐŒĐ”ĐœŃ‚Đ°Ń†ĐžĐ”Đč Đ·ĐŸĐœŃ‹ ĐżĐ°Ń€Đ°ĐŒĐ”Ń‚Ń€Đ°Đ»ŃŒĐœĐŸĐč ĐșлДтчатĐșĐž, Ń€Đ°ŃĐżĐŸĐ»ĐŸĐ¶Đ”ĐœĐœĐŸĐč ĐČ ĐœĐ”ĐżĐŸŃŃ€Đ”ĐŽŃŃ‚ĐČĐ”ĐœĐœĐŸĐč Đ±Đ»ĐžĐ·ĐŸŃŃ‚Đž Đș ĐŸĐżŃƒŃ…ĐŸĐ»Đž. ĐŸĐŸŃŃ‚ĐșĐŸĐœŃ‚Ń€Đ°ŃŃ‚ĐœŃ‹Đ” ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžŃ ĐœĐ” яĐČĐ»ŃŃŽŃ‚ŃŃ ĐČĐŸŃĐżŃ€ĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒĐŸĐč ĐŒĐ”Ń‚ĐŸĐŽĐžĐșĐŸĐč Đž ĐœĐ” ĐžĐŒĐ”ŃŽŃ‚ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃ‚Đ”Đ»ŃŒĐœĐŸĐč Ń†Đ”ĐœĐœĐŸŃŃ‚Đž. ĐœĐŸĐŽĐ”Đ»ŃŒ ĐżŃ€ĐŸŃ†Đ”ĐŽŃƒŃ€Ń‹ МРб ĐŽĐ»Ń ĐŸĐżŃ€Đ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃ‚Đ”Đ»ŃŒĐœŃ‹Ń… Ń‚Đ”ĐșŃŃ‚ŃƒŃ€ĐœŃ‹Ń… хараĐșтДрОстОĐș у ĐżĐ°Ń†ĐžĐ”ĐœŃ‚ĐŸĐș с ЗНО йМ ŃĐŸŃŃ‚ĐŸĐžŃ‚ Оз Đą2-ĐČĐ·ĐČĐ”ŃˆĐ”ĐœĐœŃ‹Ń… ĐžĐ·ĐŸĐ±Ń€Đ°Đ¶Đ”ĐœĐžĐč ĐČ ŃĐ°ĐłĐžŃ‚Ń‚Đ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž, ДВИ ĐČ Đ°ĐșŃĐžĐ°Đ»ŃŒĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃ‚Đž с Đ°ĐČŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșĐžĐŒ ĐżĐŸŃŃ‚Ń€ĐŸĐ”ĐœĐžĐ”ĐŒ Đșарт ИКД

    Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC

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    The uncertainty on the calorimeter energy response to jets of particles is derived for the ATLAS experiment at the Large Hadron Collider (LHC). First, the calorimeter response to single isolated charged hadrons is measured and compared to the Monte Carlo simulation using proton-proton collisions at centre-of-mass energies of sqrt(s) = 900 GeV and 7 TeV collected during 2009 and 2010. Then, using the decay of K_s and Lambda particles, the calorimeter response to specific types of particles (positively and negatively charged pions, protons, and anti-protons) is measured and compared to the Monte Carlo predictions. Finally, the jet energy scale uncertainty is determined by propagating the response uncertainty for single charged and neutral particles to jets. The response uncertainty is 2-5% for central isolated hadrons and 1-3% for the final calorimeter jet energy scale.Comment: 24 pages plus author list (36 pages total), 23 figures, 1 table, submitted to European Physical Journal

    Standalone vertex ïŹnding in the ATLAS muon spectrometer

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    A dedicated reconstruction algorithm to find decay vertices in the ATLAS muon spectrometer is presented. The algorithm searches the region just upstream of or inside the muon spectrometer volume for multi-particle vertices that originate from the decay of particles with long decay paths. The performance of the algorithm is evaluated using both a sample of simulated Higgs boson events, in which the Higgs boson decays to long-lived neutral particles that in turn decay to bbar b final states, and pp collision data at √s = 7 TeV collected with the ATLAS detector at the LHC during 2011

    Measurements of Higgs boson production and couplings in diboson final states with the ATLAS detector at the LHC

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    Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H →γ Îł, H → Z Z∗ →4l and H →W W∗ →lÎœlÎœ. The results are based on the complete pp collision data sample recorded by the ATLAS experiment at the CERN Large Hadron Collider at centre-of-mass energies of √s = 7 TeV and √s = 8 TeV, corresponding to an integrated luminosity of about 25 fb−1. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined ïŹts probing Higgs boson couplings to fermions and bosons, as well as anomalous contributions to loop-induced production and decay modes, are presented. All measurements are consistent with expectations for the Standard Model Higgs boson

    Measurement of the top quark pair cross section with ATLAS in pp collisions at √s=7 TeV using final states with an electron or a muon and a hadronically decaying τ lepton

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    A measurement of the cross section of top quark pair production in proton-proton collisions recorded with the ATLAS detector at the Large Hadron Collider at a centre-of-mass energy of 7 TeV is reported. The data sample used corresponds to an integrated luminosity of 2.05 fb -1. Events with an isolated electron or muon and a τ lepton decaying hadronically are used. In addition, a large missing transverse momentum and two or more energetic jets are required. At least one of the jets must be identified as originating from a b quark. The measured cross section, σtt-=186±13(stat.)±20(syst.)±7(lumi.) pb, is in good agreement with the Standard Model prediction
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