Results 81 to 90 of about 16,482,147 (331)

Expert consensus on research paradigms and technological layout for clinical priority diseases in traditional Chinese medicine: Rheumatoid arthritis

Advanced Chinese Medicine, EarlyView.
Abstract Rheumatoid arthritis (RA) is a chronic, highly disabling autoimmune disease. Although modern medical treatments have made progress, challenges such as suboptimal efficacy, relapse, difficulties in comorbidity management, and side effects persist.
Dier Jin, Jinping Wang, Zihan Wang, Mei Mo, Xiaojing Liu, Nan Zhang, Xiaoxiao Zhang, Qingwen Tao, Yuan Xu   +8 more
wiley   +1 more source

Progress of research on delaying bone destruction of rheumatoid arthritis by combining traditional Chinese and Western medicine

Advanced Chinese Medicine, EarlyView.
Abstract Rheumatoid arthritis (RA) is a common autoimmune disease with bone destruction as the core pathology, which belongs to the category of “impediment disease” in traditional Chinese medicine (TCM), and its etiology and pathogenesis are still not completely clear.
Dier Jin, Yuanyuan Xu, Wenwen Qi, Tianyi Lan, Ting Liu, Rihong Liu, Zihan Wang, Yuan Xu   +7 more
wiley   +1 more source

Genetic Modifiers of Parkinson's Disease: A Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To examine the associations of LRRK2 p.G2019S, GBA1 p.N409S, polygenic risk scores (PRS), and APOE E4 on PD penetrance, risk, and symptoms. Methods We conducted a US‐based observational case–control study using data from the 23andMe Inc. and Fox Insight Genetic Substudy (FIGS) databases.
Matthew J. Kmiecik, Michael V. Holmes, Pierre Fontanillas, Giulietta M. Riboldi, Ruth B. Schneider, Jingchunzi Shi, Anna Guan, Susana Tat, Steven Micheletti, Keaton Stagaman, Josh Gottesman, David A. Hinds, Joyce Y. Tung, 23andMe Research Team, Stella Aslibekyan, Lucy Norcliffe‐Kaufmann   +15 more
wiley   +1 more source

Progressive construction of a parametric reduced-order model for PDE-constrained optimization [PDF]

, 2014
An adaptive approach to using reduced-order models as surrogates in PDE-constrained optimization is introduced that breaks the traditional offline-online framework of model order reduction.
Farhat, Charbel, Zahr, Matthew J.
core  

Queue-Aware Energy-Efficient Joint Remote Radio Head Activation and Beamforming in Cloud Radio Access Networks

, 2016
In this paper, we study the stochastic optimization of cloud radio access networks (C-RANs) by joint remote radio head (RRH) activation and beamforming in the downlink.
Li, Jian, Peng, Mugen, Wu, Jingxian, Zhang, Ping   +3 more
core   +1 more source

An Improved Grey Wolf Optimizer for a Supplier Selection and Order Quantity Allocation Problem [PDF]

, 2020
Avelina Alejo-Reyes, Erik Cuevas, Alma Rodríguez, Abraham Mendoza, Elìas Olivares-Benítez   +4 more
openalex   +1 more source

Diffusion Tractography Biomarker for Epilepsy Severity in Children With Drug‐Resistant Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To develop a novel deep‐learning model of clinical DWI tractography that can accurately predict the general assessment of epilepsy severity (GASE) in pediatric drug‐resistant epilepsy (DRE) and test if it can screen diverse neurocognitive impairments identified through neuropsychological assessments.
Jeong‐Won Jeong, Min‐Hee Lee, Hiroshi Uda, Yoon Ho Hwang, Michael Behen, Aimee Luat, Csaba Juhász, Eishi Asano   +7 more
wiley   +1 more source

A Fast and Efficient Adversarial Attack Based on Feasible Direction Method

IEEE Access
It has been shown that deep neural networks can be easily fooled by adversarial examples, which are samples delicately crafted by adding small imperceptible perturbations to the input.
Jiyuan Sun, Haibo Yu
doaj   +1 more source

How to Raise Pensions by Legalizing Informal Employment [PDF]

Montenegrin Journal of Economics, 2017
The article presents the study on the problems of imbalances in the Russian pension system, which prevent ensuring the provision of decent pensions for the population at a level that is adequate to their labor contribution.
Valery P. Chichkanov, Elena V. Chistova, Alexander N. Tyrsin   +2 more
doaj  

Fast Fourier Optimization: Sparsity Matters

, 2012
Many interesting and fundamentally practical optimization problems, ranging from optics, to signal processing, to radar and acoustics, involve constraints on the Fourier transform of a function. It is well-known that the {\em fast Fourier transform} (fft)
C. Papadimitriou, D. Scholnik, D. Spergel, E. Brigham, G. Indebetouw, H. Lebret, J. Cooley, J.T. Trauger, N. Kasdin, O. Guyon, P. Duhamel, P. Martinez, R. Mailloux, R. Soummer, R. Soummer, R. Vanderbei, R. Vanderbei, Robert J. Vanderbei, S. Tanaka, S. Wu   +19 more
core   +4 more sources