Results 71 to 80 of about 1,296,026 (280)

Ofatumumab in Myelin Oligodendrocyte Glycoprotein Antibody–Associated Disease: A Comparison With Rituximab

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To evaluate the efficacy and safety of ofatumumab in patients with myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), and compare it with rituximab. Methods We conducted a single–center, observational study including 22 MOGAD patients treated with ofatumumab and 21 treated with rituximab.
Yuxin Fan, Lei Zhou, Jingzi ZhangBao, Hongmei Tan, Zhouzhou Wang, Chao Quan   +5 more
wiley   +1 more source

Optimizing methane flux prediction and key feature identification based on a novel hybrid machine learning model

iScience
Summary: Natural landscape methane (CH4) emissions account for half of the global total, yet their quantification remains challenging due to high measurement costs and ecosystem complexity. In this study, the performance of three machine learning models,
Xinqin Gu, Li Yao, Xiang Xiao, Lifeng Wu, Haofeng Yu   +4 more
doaj   +1 more source

The Impact of CSI and Power Allocation on Relay Channel Capacity and Cooperation Strategies

, 2007
Capacity gains from transmitter and receiver cooperation are compared in a relay network where the cooperating nodes are close together. Under quasi-static phase fading, when all nodes have equal average transmit power along with full channel state ...
Goldsmith, Andrea J., Ng, Chris T. K.
core   +2 more sources

Preferences for Posttraumatic Osteoarthritis Prevention Strategies in Individuals With Anterior Cruciate Ligament Injury

Arthritis Care &Research, EarlyView.
Objective There is growing interest in evaluating new strategies to delay or prevent posttraumatic osteoarthritis (PTOA) in individuals who have sustained anterior cruciate ligament (ACL) injury. This study sought to determine characteristics of potential treatments that are acceptable to patients with ACL injury. Methods Participants with a history of
Kevin Kennedy, Lily Waddell, Adam Easterbrook, Jeffrey N. Katz, Cale Jacobs, Morgan Jones, Faith Selzer, Elena Losina, Liana Fraenkel, Nick Bansback   +9 more
wiley   +1 more source

A Hierarchical Framework of Cloud Resource Allocation and Power Management Using Deep Reinforcement Learning

, 2017
Automatic decision-making approaches, such as reinforcement learning (RL), have been applied to (partially) solve the resource allocation problem adaptively in the cloud computing system.
Li, Zhe, Lin, Sheng, Liu, Ning, Qiu, Qinru, Tang, Jian, Wang, Yanzhi, Xu, Jielong, Xu, Zhiyuan   +7 more
core   +1 more source

Cognitive Behavioral Therapy for Youth With Childhood‐Onset Lupus: A Randomized Clinical Trial

Arthritis Care &Research, EarlyView.
Objective Our objective was to determine the feasibility and acceptability of the Treatment and Education Approach for Childhood‐Onset Lupus (TEACH), a six‐session cognitive behavioral intervention addressing depressive, fatigue, and pain symptoms, delivered remotely to individual youth with lupus by a trained interventionist.
Natoshia R. Cunningham, Thea Senger‐Carpenter, Jocelyn Zuckerman, Michelle Adler, Mallet R. Reid, Ashley Danguecan, Luana Flores Pereira, Sarah I. Mossad, Samantha L. Ely, Khalid Abulaban, Elizabeth A. Kessler, Natalie Rosenwasser, Tamar B. Rubinstein, Ekemini A. Ogbu, Emily A. Smitherman, Alaina Miller, Taylor Abounader, Elizabeth Ross, Livie Timmerman, Dhriti Sharma, Jennifer N. Stinson, Stacy Allen, Kabita Nanda, Tala El Tal, Deborah M. Levy, Linda T. Hiraki, Hermine I. Brunner, Mathew Reeves, Steven J. Pierce, Andrea Knight   +29 more
wiley   +1 more source

High efficiency algorithm of power and bit allocation for OFDMA system

Tongxin xuebao, 2008
A high efficiency algorithm of power and bit allocation for OFDMA system was propose,which including three parts: linear water-filling power allocation,bit allocation and power and bit adjustment.
ZHANG Dong-mei1, XU You-yun1, CAI Yue-ming1   +2 more
doaj   +2 more sources

Maximum-Throughput Sidelink Resource Allocation for NR-V2X Networks With the Energy-Efficient CSI Transmission

IEEE Access, 2020
New radio vehicle-to-everything (NR-V2X) is an emerging technology based on the 5G cellular mobile communication networks. In this paper, the sidelink (SL) resource allocation for NR-V2X in Mode 1 is considered, where 5G base station (gNB) schedules SL ...
Song Xiaoqin, Miao Juanjuan, Lei Lei, Zhang Tianchen   +3 more
doaj   +1 more source

A Rate-Splitting Based Bound-Approaching Transmission Scheme for the Two-User Symmetric Gaussian Interference Channel with Common Messages [PDF]

, 2012
This paper is concerned with a rate-splitting based transmission strategy for the two-user symmetric Gaussian interference channel that contains common messages only.
Bai, B., Li, Y., Mao, L., Zhang, B.
core   +1 more source

Power allocation strategy for Cognitive Radio terminals [PDF]

2008 First International Workshop on Cognitive Radio and Advanced Spectrum Management, 2008
Traditional communications systems imply an a priori association of the frequency band, the service assigned to it and the used technology. Breaking this static association can provide much more flexible, efficient and easy-to-use dynamic systems able to cope with the requirements and constraints of the environment and the users.
DEL RE, ENRICO, ARGENTI, FABRIZIO, L. S. Ronga, BIANCHI, TIZIANO, SUFFRITTI, ROSALBA   +4 more
openaire   +1 more source