Study of the Top-quark Pair Production in Association with a Bottom-quark Pair from Fast Simulations at the LHC

A large number of top quarks will be produced at the Large Hadron Collider (LHC) for Run II period. This will allow us to measure the rare processes from the top sector in great details. We present the study of the top-quark pair production in association with a bottom-quark pair (ttbb) from fast simulations for the Compact Muon Solenoid (CMS) experiment. The differential distributions of ttbb are compared with the top-quark pair production with two additional jets (ttjj) and with the production in association with the Higgs (ttH), where the Higgs decays to a bottom-quark pair. The significances of ttbb process in the dileptonic and semileptonic decay mode are calculated with the data corresponding to an integrated luminosity of 10 fb-1, which is foreseen to be collected in the early Run II period. This study will be an important input in searching for new physics beyond the standard model as well as in searching for ttH process where the Yukawa coupling with the top quark can be directly measured.Comment: 12 pages, 12 figure

Natural History of Invasive Papillary Breast Carcinoma Followed for 10 Years: A Case Report and Literature Review

Diachronic research on untreated breast cancer completely depends on past medical records when no more recent, advanced methods are available. Herein, we report a case of invasive papillary breast carcinoma followed for 10 years in a 59-year-old woman who refused any treatment. The diagnosis was based on core needle biopsies. At the patient’s first visit in July 2006, the tumor measured 10.4 × 7.2 × 3.5 cm. It was staged as IIIB (T4bN1). In May 2016, the tumor was staged as IIIC (T4bN3a). In the past 10 years, the tumor has increased to 12.1 × 9.0 × 4.2 cm. However, a whole-body bone scan and 18F-FDG PET/CT showed no evidence of distant metastasis. Immunohistochemistry results, corresponding to biopsies taken at subsequent examinations, have remained unaltered since 2006. The tumor was estrogen/progesterone receptor-positive and C-erbB2 expression was not detected. The Ki-67 labeling index was around 10%

Dynamical mean-field theory of Hubbard-Holstein model at half-filling: Zero temperature metal-insulator and insulator-insulator transitions

We study the Hubbard-Holstein model, which includes both the electron-electron and electron-phonon interactions characterized by $U$ and $g$, respectively, employing the dynamical mean-field theory combined with Wilson's numerical renormalization group technique. A zero temperature phase diagram of metal-insulator and insulator-insulator transitions at half-filling is mapped out which exhibits the interplay between $U$ and $g$. As $U$ ($g$) is increased, a metal to Mott-Hubbard insulator (bipolaron insulator) transition occurs, and the two insulating states are distinct and can not be adiabatically connected. The nature of and transitions between the three states are discussed.Comment: 5 pages, 4 figures. Submitted to Physical Review Letter

An Experimental Study of the Effects of Representational Data Quality on Decision Performance

The effects of information quality and the importance of information have been reported in the Information Systems literature. However, little has been learned about the impact of data quality (DQ) on decision performance. Representational DQ means that data must be interpretable, easy to understand, and represented concisely and consistently. This study explores the effects of representational DQ and task complexity on decision performance by conducting a laboratory experiment. Based on two levels of representational DQ and two levels of task complexity, this study had a 2 x 2 factorial design. The dependent variables were problem-solving accuracy and time. The results demonstrated that the effects of representational DQ on decision performance were significant. The findings suggest that decision makers can expect to improve their decision performance by enhancing representational DQ. This research extends a body of research examining the effects of factors that can be tied to human decision-making performance

The Study on the Subjective Life Satisfaction That the Elderly Perceives in Long-term Care Facility and on the Influence Factors

The objectives of this study are to evaluate influences of environmental factors in elderly long-term care facility on life satisfaction of the elderly who live in the facility; to derive major determinants that affect level of life satisfaction; and thus to provide fundamental information for use in improving life satisfaction of the elderly in currently operating long-term care facilities as well as newly constructed elderly long-term care facilities. This study targeted at 252 of the elderly with age of 56 or greater who lived in the long-term care facility located in D city. The collected data in this study were statistically analyzed using SPSS20.0 program. As results, it was observed that among sociodemographic determinants, gender, religion, and state of health affected life satisfaction. Second, environmental factors showed significant impact on elderly life satisfaction. In terms of the basic environment, amenities had statistically significant impact on odor management, so did health management in structural environment. Third, integrated model presented significant impact on life satisfaction of the elderly living in facility. Based on the aforementioned study findings, this study suggested regulatory measures to improve life satisfaction of the elderly who are living in long-term care facility

Feedback-Based Iterative Learning Control for MIMO LTI Systems Feedback-Based Iterative Learning Control for MIMO LTI Systems

Abstract: This paper proposes a necessary and sufficient condition of convergence in the 2 Lnorm sense for a feedback-based iterative learning control (ILC) system including a multi-input multi-output (MIMO) linear time-invariant (LTI) plant. It is shown that the convergence conditions for a nominal plant and an uncertain plant are equal to the nominal performance condition and the robust performance condition in the feedback control theory, respectively. Moreover, no additional effort is required to design an iterative learning controller because the performance weighting matrix is used as an iterative learning controller. By proving that the least upper bound of the 2 L -norm of the remaining tracking error is less than that of the initial tracking error, this paper shows that the iterative learning controller combined with the feedback controller is more effective to reduce the tracking error than only the feedback controller. The validity of the proposed method is verified through computer simulations

Domestic policies for climate change

노트 : The Asia Climate Change Policy ForumThe Australian National Universit

Decomposition of Incident and Reflected Regular Wave Using One Moving Wave Gage

Source: ICHE Conference Archive - https://mdi-de.baw.de/icheArchiv