594 research outputs found
Osmotic pressure induced coupling between cooperativity and stability of a helix-coil transition
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
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
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 â automation systems for real estate management, Computer Aided Facilities Management (hereinafter â 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 â 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 interactions at = 900 GeV measured with the ATLAS detector at the LHC
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
ĐĐżŃĐžĐŒĐžĐ·Đ°ŃĐžŃ ĐŽĐžĐ°ĐłĐœĐŸŃŃĐžŃĐ”ŃĐșĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž ĐŽĐ»Ń ĐżŃĐŸĐłĐœĐŸĐ·ĐžŃĐŸĐČĐ°ĐœĐžŃ ŃŃŃĐ”ĐșŃĐžĐČĐœĐŸŃŃĐž Ń ĐžĐŒĐžĐŸĐ»ŃŃĐ”ĐČĐŸĐč ŃĐ”ŃапОО ŃĐ°ĐșĐ° ŃĐ”ĐčĐșĐž ĐŒĐ°ŃĐșĐž ĐœĐ° ĐłŃŃппД паŃĐžĐ”ĐœŃĐŸĐČ Ń ĐșĐŸĐŒĐŸŃĐ±ĐžĐŽĐœŃĐŒĐž ŃĐŸŃŃĐŸŃĐœĐžŃĐŒĐž: ĐșĐŸĐłĐŸŃŃĐœĐŸĐ” ĐŸĐŽĐœĐŸŃĐ”ĐœŃŃĐŸĐČĐŸĐ” ŃĐ”ŃŃĐŸŃпДĐșŃĐžĐČĐœĐŸĐ” ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ”
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 1Đâ4Đ. 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 1.1Ă10â3 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.ĐĐĐĐĐĐĐĐ: ĐĐ”ŃŃпДĐșŃĐžĐČĐœŃĐŒ ĐœĐ°ĐżŃĐ°ĐČĐ»Đ”ĐœĐžĐ”ĐŒ ĐČ ĐŽĐžĐ°ĐłĐœĐŸŃŃĐžĐșĐ” ŃĐČĐ»ŃĐ”ŃŃŃ ŃĐ°ĐŽĐžĐŸĐŒĐžĐșĐ°. Đ ĐșĐ»ĐžĐœĐžŃĐ”ŃĐșĐŸĐč ĐżŃĐ°ĐșŃĐžĐșĐ” ĐżŃĐž Đ·Đ»ĐŸĐșĐ°ŃĐ”ŃŃĐČĐ”ĐœĐœĐŸĐŒ ĐœĐŸĐČĐŸĐŸĐ±ŃĐ°Đ·ĐŸĐČĐ°ĐœĐžĐž ŃĐ”ĐčĐșĐž ĐŒĐ°ŃĐșĐž (ĐĐĐ ĐšĐ) ŃĐžŃĐŸĐșĐŸ ĐžŃĐżĐŸĐ»ŃĐ·ŃĐ”ŃŃŃ ŃĐ»ŃŃŃĐ°Đ·ĐČŃĐșĐŸĐČĐ°Ń Đž ĐŒĐ°ĐłĐœĐžŃĐœĐŸ-ŃĐ”Đ·ĐŸĐœĐ°ĐœŃĐœĐ°Ń ĐŽĐžĐ°ĐłĐœĐŸŃŃĐžĐșĐ°. ĐŃŃŃŃŃŃĐČОД ŃŃĐ°ĐœĐŽĐ°ŃŃĐŸĐČ ĐżŃĐž ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐžĐž ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč ĐČлДŃĐ”Ń ĐżŃĐŸĐ±Đ»Đ”ĐŒŃ ĐČŃĐŽĐ”Đ»Đ”ĐœĐžŃ ŃазлОŃĐœŃŃ
ĐżŃĐžĐ·ĐœĐ°ĐșĐŸĐČ, ŃĐŸ Đ”ŃŃŃ ĐŸŃŃŃŃŃŃĐČОД ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃĐž ŃĐŸĐżĐŸŃŃĐ°ĐČĐ»Đ”ĐœĐžŃ ŃДзŃĐ»ŃŃĐ°ŃĐŸĐČ ŃĐ°Đ±ĐŸŃ ŃĐ°Đ·ĐœŃŃ
ŃŃŃĐ”Đ¶ĐŽĐ”ĐœĐžĐč.ĐŠĐĐĐŹ: ĐŃĐŸĐ°ĐœĐ°Đ»ĐžĐ·ĐžŃĐŸĐČĐ°ŃŃ ĐżŃĐŸŃДЎŃŃŃ Đ»ŃŃĐ”ĐČĐŸĐč ĐŽĐžĐ°ĐłĐœĐŸŃŃĐžĐșĐž Đž ĐŸĐżŃĐžĐŒĐžĐ·ĐžŃĐŸĐČĐ°ŃŃ ĐŒĐŸĐŽĐ”Đ»Ń ĐŽĐ»Ń ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃĐž ŃĐ°ŃŃĐžŃĐ”ĐœĐœĐŸĐłĐŸ ĐŒĐ°ŃŃŃĐ°Đ±ĐœĐŸĐłĐŸ ĐŒĐœĐŸĐłĐŸŃĐ”ĐœŃŃĐŸĐČĐŸĐłĐŸ ĐŒĐ°ŃĐ”ĐŒĐ°ŃĐžŃĐ”ŃĐșĐŸĐłĐŸ Đ°ĐœĐ°Đ»ĐžĐ·Đ° ŃДзŃĐ»ŃŃĐ°ŃĐŸĐČ Đ»ŃŃĐ”ĐČŃŃ
ĐŒĐ”ŃĐŸĐŽĐŸĐČ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ Ń ĐșĐŸĐŒĐŸŃĐ±ĐžĐŽĐœŃŃ
паŃĐžĐ”ĐœŃĐŸĐș ŃĐŸ ĐĐĐ ĐšĐ.ĐĐĐąĐĐ ĐĐĐĐ« Đ ĐĐĐąĐĐĐ«: Đ Đ”ŃŃĐŸŃпДĐșŃĐžĐČĐœĐŸ ОзŃŃĐ”ĐœŃ ĐŽĐ°ĐœĐœŃĐ” 362 ĐżŃĐŸŃДЎŃŃ ĐŒĐ°ĐłĐœĐžŃĐœĐŸ-ŃĐ”Đ·ĐŸĐœĐ°ĐœŃĐœĐŸĐč ŃĐŸĐŒĐŸĐłŃĐ°ŃОО (ĐĐ Đą) (Philips Achieva, ĐОЎДŃĐ»Đ°ĐœĐŽŃ, 1.5T), 500 ĐżŃĐŸŃДЎŃŃ ŃĐ»ŃŃŃĐ°Đ·ĐČŃĐșĐŸĐČĐŸĐłĐŸ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ (ĐŁĐĐ) ĐŸŃĐłĐ°ĐœĐŸĐČ ĐŒĐ°Đ»ĐŸĐłĐŸ ŃĐ°Đ·Đ°, 500 ĐżŃĐŸŃДЎŃŃ ĐŁĐРзабŃŃŃĐžĐœĐœĐŸĐłĐŸ ĐżŃĐŸŃŃŃĐ°ĐœŃŃĐČĐ° Ń 77 ĐșĐŸĐŒĐŸŃĐ±ĐžĐŽĐœŃŃ
паŃĐžĐ”ĐœŃĐŸĐș Ń ĐżĐ»ĐŸŃĐșĐŸĐșлДŃĐŸŃĐœŃĐŒ ĐĐРКРО ŃĐ”ŃĐŽĐ”ŃĐœĐŸ-ŃĐŸŃŃĐŽĐžŃŃĐŸĐč паŃĐŸĐ»ĐŸĐłĐžĐ”Đč, ĐČŃĐżĐŸĐ»ĐœĐ”ĐœĐœŃĐ” ĐČ 2012â2022 гг. ĐĄŃĐ°ĐŽĐžŃ ĐżĐŸ FIGO ĐŽĐŸ лДŃĐ”ĐœĐžŃ â 1Đâ4Đ. ĐĐŸĐ·ŃĐ°ŃŃ â 48,3±13,1 ĐłĐŸĐŽĐ°. ĐĐ”ŃĐžĐŸĐŽ ĐœĐ°Đ±Đ»ŃĐŽĐ”ĐœĐžŃ â 3,7±1,3 ĐłĐŸĐŽĐ°.ĐĄŃĐ°ŃĐžŃŃĐžĐșĐ°: ĐĐœĐ°Đ»ĐžĐ· ĐŽĐ°ĐœĐœŃŃ
ĐżŃĐŸĐČĐŸĐŽĐžĐ»ŃŃ Ń ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ĐœĐžĐ”ĐŒ ĐżŃĐŸĐłŃĐ°ĐŒĐŒŃ Stata 13 (StataCorpLP, CollegeStation, TX, USA). ĐĐŸŃĐŒĐ°Đ»ŃĐœĐŸŃŃŃ ŃĐ°ŃĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐżŃĐžĐ·ĐœĐ°ĐșĐŸĐČ ĐŸŃĐ”ĐœĐžĐČалаŃŃ Ń ĐżĐŸĐŒĐŸŃŃŃ ĐșŃĐžŃĐ”ŃĐžŃ ĐšĐ°ĐżĐžŃĐŸâУОлĐșĐ°. ĐŁŃĐ»ĐŸĐČОД ŃĐ°ĐČĐ”ĐœŃŃĐČĐ° ĐŽĐžŃпДŃŃĐžĐč ŃĐ°ŃĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐżŃĐžĐ·ĐœĐ°ĐșĐŸĐČ ŃĐ°ŃŃŃĐžŃŃĐČĐ°Đ»ĐŸŃŃ ĐżĐŸ ĐșŃĐžŃĐ”ŃĐžŃ ĐĐ”ĐČĐ”ĐœĐ°. ĐĐ»Ń ĐŸĐżĐžŃĐ°ŃДлŃĐœĐŸĐč ŃŃĐ°ŃĐžŃŃĐžĐșĐž ĐœĐŸŃĐŒĐ°Đ»ŃĐœĐŸ ŃĐ°ŃĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐœŃŃ
ĐżŃĐžĐ·ĐœĐ°ĐșĐŸĐČ Ń ŃĐ°ĐČĐ”ĐœŃŃĐČĐŸĐŒ ĐŽĐžŃпДŃŃĐžĐč ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°Đ»ĐŸŃŃ ĐČŃŃĐžŃĐ»Đ”ĐœĐžĐ” ŃŃĐ”ĐŽĐœĐžŃ
Đ·ĐœĐ°ŃĐ”ĐœĐžĐč Đž ŃŃĐ°ĐœĐŽĐ°ŃŃĐœŃŃ
ĐŸŃĐșĐ»ĐŸĐœĐ”ĐœĐžĐč. ĐĐ°ŃĐ”ŃŃĐČĐ”ĐœĐœŃĐ” пДŃĐ”ĐŒĐ”ĐœĐœŃĐ” ĐżŃДЎŃŃĐ°ĐČĐ»Đ”ĐœŃ ĐČ ĐČОЎД ŃĐžŃДл (%). ĐŃĐżĐŸĐ»ĐœĐ”ĐœĐ° Đ»ĐŸĐłĐžŃŃĐžŃĐ”ŃĐșĐ°Ń ŃДгŃĐ”ŃŃĐžŃ. ĐŁŃĐŸĐČĐ”ĐœŃ Đ·ĐœĐ°ŃĐžĐŒĐŸŃŃĐž ĐŽĐ»Ń ĐČŃĐ”Ń
ĐžŃĐżĐŸĐ»ŃĐ·ŃŃŃĐžŃ
ŃŃ ĐŒĐ”ŃĐŸĐŽĐŸĐČ ŃŃŃĐ°ĐœĐŸĐČĐ»Đ”Đœ ĐșĐ°Đș p<0,05.Đ ĐĐĐŁĐĐŹĐąĐйЫ: ĐĐŸ ĐŽĐ°ĐœĐœŃĐŒ ĐŁĐĐ ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃŃ ŃĐ”ĐłĐŒĐ”ĐœŃĐ°ŃОО бŃла ĐČ 2,6%, ĐżĐŸ ĐŽĐ°ĐœĐœŃĐŒ ĐĐ Đą â ĐČ 100%. ĐŃĐŸĐ°ĐœĐ°Đ»ĐžĐ·ĐžŃĐŸĐČĐ°ĐœĐŸ 1443 T2 TSE, 531 T1 TSE, 563 ĐŽĐžŃŃŃĐ·ĐžĐŸĐœĐœĐŸ-ĐČĐ·ĐČĐ”ŃĐ”ĐœĐœŃŃ
ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžĐč (ĐĐĐ), 389 STIR, 1987 ĐżĐŸŃŃĐșĐŸĐœŃŃĐ°ŃŃĐœŃŃ
ŃĐ”ŃĐžĐč (ĐČ 272 ŃĐ»ŃŃĐ°ŃŃ
(75%) ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐ” ŃĐŸĐżŃĐŸĐČĐŸĐ¶ĐŽĐ°Đ»ĐŸŃŃ ĐČĐČĐ”ĐŽĐ”ĐœĐžĐ”ĐŒ ĐșĐŸĐœŃŃĐ°ŃŃĐœĐŸĐłĐŸ ĐČĐ”ŃĐ”ŃŃĐČĐ°). ĐĐŸĐŽĐ”Đ»Ń ĐĐ Đą ĐŽĐ»Ń ĐżĐŸŃлДЎŃŃŃĐ”ĐłĐŸ ОзĐČлДŃĐ”ĐœĐžŃ ĐżŃĐžĐ·ĐœĐ°ĐșĐŸĐČ Ń Đ±ĐŸĐ»ŃĐœŃŃ
ĐĐĐ ĐšĐ ĐŽĐŸĐ»Đ¶ĐœĐ° ŃĐŸŃŃĐŸŃŃŃ ĐžĐ· Đą2-ĐČĐ·ĐČĐ”ŃĐ”ĐœĐœŃŃ
ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžĐč ĐČ ŃагОŃŃĐ°Đ»ŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž, ĐĐĐ ĐČ Đ°ĐșŃОалŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž Ń Đ°ĐČŃĐŸĐŒĐ°ŃĐžŃĐ”ŃĐșĐžĐŒ ĐżĐŸŃŃŃĐŸĐ”ĐœĐžĐ”ĐŒ ĐșĐ°ŃŃ ĐžĐ·ĐŒĐ”ŃŃĐ”ĐŒĐŸĐłĐŸ ĐșĐŸŃŃŃĐžŃĐžĐ”ĐœŃĐ° ĐŽĐžŃŃŃзОО (ĐĐĐ).ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” ĐČĐŸŃĐżŃĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒŃĐŒĐž Đž ŃĐ”ĐœĐœŃĐŒĐž ŃĐŸŃŃĐ°ĐČĐ»ŃŃŃĐžĐŒĐž ĐŒĐŸĐŽĐ”Đ»Đž ĐżŃĐžĐ·ĐœĐ°ĐœŃ ĐĐĐ Ń Đ°ĐČŃĐŸĐŒĐ°ŃĐžŃĐ”ŃĐșĐžĐŒ ĐżĐŸŃŃŃĐŸĐ”ĐœĐžĐ”ĐŒ ĐșĐ°ŃŃ ĐĐĐ. ĐĐœĐ°ŃĐ”ĐœĐžĐ” ĐĐĐ ĐŸŃ Đ·ĐŸĐœŃ ĐżĐ°ŃĐ°ĐŒĐ”ŃŃĐ°Đ»ŃĐœĐŸĐč ĐșлДŃŃĐ°ŃĐșĐž Đ·ĐœĐ°ŃĐžĐŒĐŸ ŃĐČДлОŃĐžĐČĐ°Đ»ĐŸ ĐČĐ”ŃĐŸŃŃĐœĐŸŃŃŃ ŃĐ”ŃОЎОĐČĐ°, Đ° ĐżŃĐž ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐžĐž ROC-Đ°ĐœĐ°Đ»ĐžĐ·Đ° ŃĐŸŃĐșĐ° ĐŸŃŃĐ”ŃĐ”ĐœĐžŃ ŃĐŸŃŃĐ°ĐČОла 1,1Ă10â3 ĐŒĐŒ2/Ń.ĐĐĐĄĐŁĐĐĐĐĐĐ: ĐŃĐŸĐČĐ”ĐŽĐ”Đœ Đ°ĐœĐ°Đ»ĐžĐ· ĐŒĐ”ĐŽĐžŃĐžĐœŃĐșĐžŃ
ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžĐč ĐŁĐĐ Đž ĐĐ Đą ĐČ ĐżĐ»Đ°ĐœĐ” ĐžŃ
ŃĐ”ĐœĐœĐŸŃŃĐž ĐŽĐ»Ń ŃĐ°ĐŽĐžĐŸĐŒĐžĐșĐž. ĐĐŸ ŃДзŃĐ»ŃŃĐ°ŃĐ°ĐŒ ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ ĐĐ Đą ŃĐČĐ»ŃĐ”ŃŃŃ ĐżŃĐ”ĐŽĐżĐŸŃŃĐžŃДлŃĐœŃĐŒ ĐŒĐ”ŃĐŸĐŽĐŸĐŒ. ХлДЎŃŃŃĐžĐč ĐČĐ°Đ¶ĐœŃĐč ŃĐ°Đł â ŃŃĐ°ĐœĐŽĐ°ŃŃОзаŃĐžŃ ŃĐ”ŃĐžĐč ĐŽĐ»Ń ĐžĐ·ĐČлДŃĐ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃДлŃĐœĐŸĐč ŃĐ”ĐœĐœĐŸŃŃĐž Оз ĐŽĐžĐ°ĐłĐœĐŸŃŃĐžŃĐ”ŃĐșĐžŃ
ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč Đž ĐżŃĐŸĐČĐ”ĐŽĐ”ĐœĐžĐ” ĐŒĐœĐŸĐłĐŸŃĐ”ĐœŃŃĐŸĐČŃŃ
ŃĐ”ŃŃĐŸŃпДĐșŃĐžĐČĐœŃŃ
ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžĐč Ń ĐžŃĐżĐŸĐ»ŃĐ·ĐŸĐČĐ°ĐœĐžĐ”ĐŒ ĐŒĐœĐŸĐłĐŸĐșĐŸĐŒĐżĐŸĐœĐ”ĐœŃĐœĐŸĐč ĐŒĐŸĐŽĐ”Đ»Đž.ĐĐĐĐПЧĐĐĐĐ: ĐĐŸŃĐżŃĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒŃĐŒ Đž ŃĐ°ŃŃĐŸ ĐžŃĐżĐŸĐ»ŃĐ·ŃĐ”ĐŒŃĐŒ ĐŒĐ”ŃĐŸĐŽĐŸĐŒ Ń ĐČĐŸĐ·ĐŒĐŸĐ¶ĐœĐŸŃŃŃŃ ĐžĐ·ĐČлДŃĐ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃДлŃĐœĐŸĐč ŃĐ”ĐœĐœĐŸŃŃĐž Оз ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžĐč ĐżŃĐžĐ·ĐœĐ°ĐœĐ° ĐĐ Đą. ĐĐ°ĐžĐ±ĐŸĐ»Đ”Đ” ŃĐ°ŃŃĐŸ ĐžŃĐżĐŸĐ»ŃĐ·ŃĐ”ĐŒŃĐŒĐž ĐŒĐ”ŃĐŸĐŽĐžĐșĐ°ĐŒĐž ĐżŃĐžĐ·ĐœĐ°ĐœŃ Đą2 TSE ĐČ ŃагОŃŃĐ°Đ»ŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž Đž ĐĐĐ ĐČ Đ°ĐșŃОалŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž Ń Đ°ĐČŃĐŸĐŒĐ°ŃĐžŃĐ”ŃĐșĐžĐŒ ĐżĐŸŃŃŃĐŸĐ”ĐœĐžĐ”ĐŒ ĐșĐ°ŃŃ ĐĐĐ Ń ĐżĐŸŃлДЎŃŃŃĐ”Đč ŃĐ”ĐłĐŒĐ”ĐœŃĐ°ŃОДĐč Đ·ĐŸĐœŃ ĐżĐ°ŃĐ°ĐŒĐ”ŃŃĐ°Đ»ŃĐœĐŸĐč ĐșлДŃŃĐ°ŃĐșĐž, ŃĐ°ŃĐżĐŸĐ»ĐŸĐ¶Đ”ĐœĐœĐŸĐč ĐČ ĐœĐ”ĐżĐŸŃŃДЎŃŃĐČĐ”ĐœĐœĐŸĐč Đ±Đ»ĐžĐ·ĐŸŃŃĐž Đș ĐŸĐżŃŃ
ĐŸĐ»Đž. ĐĐŸŃŃĐșĐŸĐœŃŃĐ°ŃŃĐœŃĐ” ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžŃ ĐœĐ” ŃĐČĐ»ŃŃŃŃŃ ĐČĐŸŃĐżŃĐŸĐžĐ·ĐČĐŸĐŽĐžĐŒĐŸĐč ĐŒĐ”ŃĐŸĐŽĐžĐșĐŸĐč Đž ĐœĐ” ĐžĐŒĐ”ŃŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃДлŃĐœĐŸĐč ŃĐ”ĐœĐœĐŸŃŃĐž. ĐĐŸĐŽĐ”Đ»Ń ĐżŃĐŸŃДЎŃŃŃ ĐĐ Đą ĐŽĐ»Ń ĐŸĐżŃĐ”ĐŽĐ”Đ»Đ”ĐœĐžŃ ĐŽĐŸĐżĐŸĐ»ĐœĐžŃДлŃĐœŃŃ
ŃĐ”ĐșŃŃŃŃĐœŃŃ
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Đ°ŃĐ°ĐșŃĐ”ŃĐžŃŃĐžĐș Ń ĐżĐ°ŃĐžĐ”ĐœŃĐŸĐș Ń ĐĐРКРŃĐŸŃŃĐŸĐžŃ ĐžĐ· Đą2-ĐČĐ·ĐČĐ”ŃĐ”ĐœĐœŃŃ
ĐžĐ·ĐŸĐ±ŃĐ°Đ¶Đ”ĐœĐžĐč ĐČ ŃагОŃŃĐ°Đ»ŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž, ĐĐĐ ĐČ Đ°ĐșŃОалŃĐœĐŸĐč ĐżĐ»ĐŸŃĐșĐŸŃŃĐž Ń Đ°ĐČŃĐŸĐŒĐ°ŃĐžŃĐ”ŃĐșĐžĐŒ ĐżĐŸŃŃŃĐŸĐ”ĐœĐžĐ”ĐŒ ĐșĐ°ŃŃ ĐĐĐ
Single hadron response measurement and calorimeter jet energy scale uncertainty with the ATLAS detector at the LHC
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 ïŹnding in the ATLAS muon spectrometer
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 âs = 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
Measurements are presented of production properties and couplings of the recently discovered Higgs boson using the decays into boson pairs, H âÎł Îł, H â Z Zâ â4l and H âW Wâ âlÎœlÎœ. 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 âs = 7 TeV and âs = 8 TeV, corresponding to an integrated luminosity of about 25 fbâ1. Evidence for Higgs boson production through vector-boson fusion is reported. Results of combined ïŹts 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 production cross section with ATLAS in pp collisions at \sqrt{s}=7\TeV
A measurement of the production cross-section for top quark pairs(\ttbar)
in collisions at \sqrt{s}=7 \TeV is presented using data recorded with
the ATLAS detector at the Large Hadron Collider. Events are selected in two
different topologies: single lepton (electron or muon ) with large
missing transverse energy and at least four jets, and dilepton (,
or ) with large missing transverse energy and at least two jets. In a
data sample of 2.9 pb-1, 37 candidate events are observed in the single-lepton
topology and 9 events in the dilepton topology. The corresponding expected
backgrounds from non-\ttbar Standard Model processes are estimated using
data-driven methods and determined to be events and events, respectively. The kinematic properties of the selected events are
consistent with SM \ttbar production. The inclusive top quark pair production
cross-section is measured to be \sigmattbar=145 \pm 31 ^{+42}_{-27} pb where
the first uncertainty is statistical and the second systematic. The measurement
agrees with perturbative QCD calculations.Comment: 30 pages plus author list (50 pages total), 9 figures, 11 tables,
CERN-PH number and final journal adde
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