Results 151 to 160 of about 2,570,060 (412)

Therapeutic Potential of Lipid Nanoparticle‐Encapsulated CD19‐Targeting mRNAs in Lupus and Rheumatoid Arthritis

Advanced Science, EarlyView.
This study develops lipid nanoparticle‐encapsulated mRNA‐encoding antibodies (mRNab‐LNPs) targeting CD19, demonstrating robust anti‐CD19 antibody production in vivo. Intramuscular injection of mRNab‐LNPs reduces CD19+ B and plasma cells in lupus and rheumatoid arthritis mice, significantly alleviating histopathological changes and tissue injuries of ...
Chipeng Guo, Yingsen Tang, Ling Zeng, Xiaomei You, Siweier Luo, Yufei Du, Le Wang, Liangchun Wang, Jianchuan Wang, Jinjin Chen, Yiming Zhou   +10 more
wiley   +1 more source

Effects of methods of descending stairs forwards versus backwards on knee joint force in patients with osteoarthritis of the knee: a clinical controlled study

Sports Medicine, Arthroscopy, Rehabilitation, Therapy & Technology, 2010
Background The aim of this study was to investigate the kinetic characteristics of compensatory backward descending movement performed by patients with osteoarthritis of the knee.
Oki Sadaaki, Hasegawa Masaki, Chin Takaaki, Kanai Shusaku, Shimatani Koji, Shimada Tomoaki   +5 more
doaj   +1 more source

Exoskeleton Knee Compliance Improves Gait Velocity and Stability in a Spinal Cord Injured User: A Case Report [PDF]

arXiv, 2019
Spinal cord injuries frequently impair the ability to walk. Powered lower limb exoskeletons offer a promising solution to restore walking ability. However, they are currently restricted to even ground. We hypothesized that compliant exoskeleton knees could decrease required effort to maneuver on uneven terrain, and increase gait velocity and stability.
arxiv  

Capacity Estimation and Knee Point Prediction Using Electrochemical Impedance Spectroscopy for Lithium Metal Battery Degradation via Machine Learning

Advanced Science, EarlyView.
This work explores a machine learning (ML) model with electrochemical impedance spectroscopy (EIS) data to address two critical challenges in Lithium metal batteries (LMBs): capacity degradation trajectory and knee point (KP) estimation, for the first time.
Qianli Si, Shoichi Matsuda, Yasunobu Ando, Toshiyuki Momma, Yoshitaka Tateyama   +4 more
wiley   +1 more source

On the Sesamoids of the Knee-Joint: Part II. Evolution of the Sesamoids [PDF]

, 1921
Karl Pearson, Adelaide G. Davin
openalex   +1 more source

Evaluation of a geometry-based knee joint compared toaplanarknee joint [PDF]

, 2018
Today neuromuscular simulations are used in several fields, such as diagnostics and planing of surgery, to get a deeper understanding of the musculoskeletal system.
de Zee, Mark, Pronost, Nicolas, Sandholm, Anders, Schwartz, Cédric, Thalmann, Daniel, Voigt, Michael   +5 more
core  

Cartilage‐Penetrating Framework Nucleic Acid Nanoparticles Ameliorate Osteoarthritis by Promoting Drug Delivery and Chondrocyte Uptake

Advanced Science, EarlyView.
Based on the poor cartilage penetration of tFNA, a novel tFNA‐2WL with excellent cartilage permeability and perfect chondrocyte endocytosis properties is designed and fabricated. As a result, tFNA‐2WL has a nearly seven‐fold increase in the penetration depth into the cartilage, with the same excellent cell entry properties as tFNA.
Kui Huang, Qiumei Li, Huixuan Lin, Qian Shen, Yaping Wu, Taoran Tian, Chuan Ma, Sirong Shi, Jingang Xiao, Yunfeng Lin   +9 more
wiley   +1 more source

Two Cases of Tuberculous Disease of the Knee-Joint Treated by Iodoform Injections: Recovery [PDF]

, 1897
E. B. Holwell
openalex   +1 more source

Highly Stretchable, Self‐Healable, and Conductive Gelatin Methacryloyl Hydrogel for Long‐Lasting Wearable Tactile Sensors

Advanced Science, EarlyView.
Gelatin methacryloyl hydrogel, which possesses high stretchability, tensile strength, toughness, and autonomous self‐healing capability at room temperature, is developed through the introduction of interpenetrating networks, hierarchical hydrogen bonds (weak and strong H‐bonds), and borate ester bonds.
Zhikang Li, Bin Wang, Jijian Lu, Yumeng Xue, Jiaxiang Wang, Boqing Jia, Gengyu Han, Yihe Zhao, Muhammad Afzal Khan Qureshi, Lan Yu, Kang Zhao, Min Li, Ping Yang, Dejiang Lu, Libo Zhao   +14 more
wiley   +1 more source

Prediction of Knee Joint Moment by Surface Electromyography of the Antagonistic and Agonistic Muscle Pairs

IEEE Access, 2019
In lower-limb rehabilitation equipment, the prediction of the knee joint moment using surface electromyography signals is an important method of motion intention recognition.
Yurong Li, Qianhui Zhang, Nianyin Zeng, Min Du, Qian Zhang   +4 more
doaj   +1 more source