Results 141 to 150 of about 8,730,293 (397)

Description of the Scenario Machine

, 2007
We present here an updated description of the "Scenario Machine" code. This tool is used to carry out a population synthesis of binary stars. Previous version of the description can be found at http://xray.sai.msu.ru/~mystery//articles/review/contents ...
A. F. Illarionov, A. G. Lyne, A. I. Bogomazov, A. I. Bogomazov, A. I. Bogomazov, A. J. Delgado, A. M. Cherepashchuk, A. M. Cherepashchuk, A. Skumanich, A. V. Tutukov, A. V. Tutukov, A. V. Tutukov, A. Z. Bonanos, B. P. Kudritzki, B. Paczynski, B. Paczynski, B. Paczynski, C. A. Tout, C. Jager de, C. Ritossa, C. W. Allen, D. T. Wickramasinghe, D. Vanbeveren, E. Garcia-Berro, E. P. J. Heuvel van den, F. J. Rogers, F. K. Lamb, F. Pacini, F. Verbunt, F. Verbunt, G. Chanmugam, G. S. Bisnovatyi-Kogan, G. S. Bisnovatyi-Kogan, G. Schaller, H. A. Abt, H. Bondi, H. Bondi, H. J. G. L. M. Lamers, H. Nieuwenhuijzen, I. Iben Jr., I. Iben Jr., J. Boersma, J. E. Pringle, J. M. Weisberg, J. Paradijs van, J.-P. Zahn, J.-P. Zahn, J.-P. Zahn, K. A. Postnov, K. Davidson, K. Jager de, K. Nomoto, L. D. Landau, L. Zangrilli, M. E. Prokhorov, M. M. Basko, N. I. Shakura, N. I. Shakura, N. Wex, O. R. Pols, P. C. Joss, P. C. Peters, P. C. Peters, P. Hut, P. P. Eggleton, P. R. Amnuel, P. R. Amnuel, R. A. Chevalier, R. A. Mardling, R. A. Mardling, R. B. Stothers, R. E. Davies, R. F. Webbink, R. F. Webbink, R. Kippenhahn, R. L. Kurucz, S. B. Popov, S. D. Kawaler, S. E. Thorsett, S. E. Woosley, S. J. Savonije, S. Johnston, S. Rappaport, S. V. Karpov, U. Kolb, V. F. Schwartzman, V. F. Schwartzman, V. F. Schwartzman, V. G. Kornilov, V. G. Kornilov, V. Kalogera, V. Landre, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. M. Lipunov, V. S. Gnusareva, V. Trimble, V.M. Kaspi, V.M. Lipunov, W. G. G. Lewin, W. H. McCrea, W. H. Press, W. Kundt, Ya. B. Zel’dovich, Z. T. Kraicheva   +112 more
core   +1 more source

ICU‐EEG Pattern Detection by a Convolutional Neural Network

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Patients in the intensive care unit (ICU) often require continuous EEG (cEEG) monitoring due to the high risk of seizures and rhythmic and periodic patterns (RPPs). However, interpreting cEEG in real time is resource‐intensive and heavily relies on specialized expertise, which is not always available.
Giulio Degano, Hervé Quintard, Andreas Kleinschmidt, Nikita Francini, Oana E. Sarbu, Pia De Stefano   +5 more
wiley   +1 more source

Finite element analysis and structure optimization of a gantry-type high-precision machine tool. [PDF]

Sci Rep, 2023
Chan TC, Ullah A, Roy B, Chang SL.
europepmc   +1 more source

Investigation on different composition of powder metallurgy electrode (Cu-W) in high performance edm (HPEDM) on AISI D2 hardened steel [PDF]

, 2013
The ideal selection of manufacturing conditions is one of the most important aspects to take into consideration in the majority of manufacturing processes and particularly in processes related to Electrical Discharge Machining (EDM).
Abdul Hamid, Faizul Ezmat
core  

Long COVID in People With Multiple Sclerosis and Related Disorders: A Multicenter Cross‐Sectional Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Managing long COVID in people with multiple sclerosis and related disorders (pwMSRD) is complex due to overlapping symptoms. To address evidence gaps, we evaluated long COVID susceptibility in pwMSRD versus controls and its associations with multi‐domain function and disability.
Chen Hu, Jiyeon Son, Lindsay McAlpine, Elizabeth L. S. Walker, Megan Dahl, Emily Song, Sugeidy Ferreira Brito, Katelyn Kavak, Kaho Onomichi, Amit Bar‐Or, Christopher Perrone, Claire S. Riley, Bianca Weinstock‐Guttman, Philip L. De Jager, Erin E. Longbrake, Zongqi Xia   +15 more
wiley   +1 more source

Research on ultrasonic testing method for tangential contact stress based on equivalent medium theory

Ultrasonics Sonochemistry
As a weak link, the joint surface of machine tools directly affects the stiffness and machining accuracy of the entire machine tool. However, obtaining the distribution of contact stress is a key problem that urgently needs to be solved in exploring the ...
Nana Niu, Yongsheng Zhao, Zhifeng Liu, Ying Li, Lele Liu   +4 more
doaj   +1 more source

Design of a High-Speed Rotary Ultrasonic Machining Machine Tool for Machining Microstructure of Brittle Materials. [PDF]

Micromachines (Basel), 2023
Zhang S, Gong M, Lian H, Wu J, Zhu W, Ou Z.   +5 more
europepmc   +1 more source

Automating biomedical data science through tree-based pipeline optimization

, 2016
Over the past decade, data science and machine learning has grown from a mysterious art form to a staple tool across a variety of fields in academia, business, and government.
Andrews, Peter C., Kidd, La Creis, Lavender, Nicole A., Moore, Jason H., Olson, Randal S., Urbanowicz, Ryan J.   +5 more
core  

Exploring patients’ profiles associated with the resolution of acute calcium pyrophosphate arthritis treatedwith colchicine and prednisone: post hoc analysis of a randomized controlled trial

Arthritis Care &Research, Accepted Article.
Objective The objective was to identify factors determining acute arthritis resolution and safety with colchicine and prednisone in acute calcium pyrophosphate (CPP) crystal arthritis. Methods We conducted a post hoc analysis of the COLCHICORT trial, which compared colchicine and prednisone for the treatment of acute CPP crystal arthritis, using a ...
Tristan Pascart, Laurène Norberciak, Pascal Richette, Pierre Robinet, Aurore Pacaud, Gauthier Marchasson, Thibault Rabin, Hélène Luraschi, Pierre Maciejasz, Anne‐France Georgel, Augustin Latourte, Hang‐Korng Ea, Sébastien Ottaviani, Charlotte Jauffret, Vincent Ducoulombier   +14 more
wiley   +1 more source

Reliability Prediction Based on Multi-State Dynamic Bayesian Network Structure Learning for Complex System With Time-Lagged Correlation

IEEE Access
Due to the complicated interaction in complex systems, correlations between modules are nonlinear and relate to time intervals. In this paper, a novel correlation analysis method based on cross correlation analysis and using two parameter matrixes to ...
Kaixin Liu, Weilu Chen
doaj   +1 more source