[Purpose] The aim of this report was to describe the safety, feasibility, and efficacy of rehabilitation by knee extension and flexion training using the knee single-joint hybrid assistive limb in a patient after anterior cruciate ligament reconstruction. [Participant and Methods] A 33 year-old male underwent an arthroscopic procedure for anatomic single-bundle anterior cruciate ligament reconstruction with a semitendinosus tendon autograft. Rehabilitation training using the knee single-joint hybrid assistive limb was initiated at postoperative week 18 and repeated weekly for 3 weeks. The patient performed five sets of the knee single-joint hybrid assistive limb-assisted knee-extension-flexion exercises per session at a frequency of 10 exercises/set. [Results] The peak extension torque at all velocities with the limb symmetry index was higher after the hybrid assistive limb intervention (post-intervention) than before using it (pre-intervention). Peak flexion torques at 60°/s and 300°/s of limb symmetry index were higher post-intervention than pre-intervention. The range of motion in extension and flexion improved from -2° (pre-intervention) to -1° (post-intervention) and from 124° to 133°, respectively. The Lysholm score increased from 58 (pre-intervention) to 94 (post-intervention). [Conclusion] The knee single-joint hybrid assistive limb can be used safely for anterior cruciate ligament reconstruction training, without any adverse events. Our results indicate that the knee single-joint hybrid assistive limb training may improve muscle function, effectively overcoming dysfunction.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7829566 | PMC |
http://dx.doi.org/10.1589/jpts.33.84 | DOI Listing |
Mol Plant
January 2025
National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan 430070, China; Hubei Key Laboratory of Agricultural Bioinformatics, Huazhong Agricultural University, Wuhan 430070, China; College of Informatics, Huazhong Agricultural University, Wuhan 430070, China; Hubei Hongshan Laboratory, Wuhan 430070, China. Electronic address:
The integration of genotypic and environmental data can enhance the prediction accuracy of field traits of crops. The existing genomic prediction methods fail to consider the environmental factors and do not consider the real growing environment of crops, resulting in low genomic prediction accuracy. In this work, we propose a genotype-environment interaction genomic prediction method in maize, called GEFormer, based on integrating the gating mechanism MLP and linear attention mechanism.
View Article and Find Full Text PDFNat Commun
January 2025
Faculty of Health Sciences, University of Macau, Taipa, Macau SAR, China.
The fabrications of circularly polarized luminescent (CPL) material are mainly based on the chemical and physical strategies. Controlled biosynthesis of CPL-active materials is beset with difficulties due to the lack of bioactive luminescent precursors and bio-reactors. Enlighted by microbe-assisted asymmetric biosynthesis, herein, we show the in situ bacterial fermentation of Komagataeibacter sucrofermentants to fabricate a series of bacterial cellulosic biofilms with CPL of green, orange, red, and near-infrared colors.
View Article and Find Full Text PDFSpectrochim Acta A Mol Biomol Spectrosc
January 2025
CICS-UBI - Health Sciences Research Centre University of Beira Interior Covilhã Portugal; RISE-Health, Departamento de Química, Faculdade de Ciências, Universidade da Beira Interior, Rua Marquês d'Ávila e Bolama 6201-001 Covilhã, Portugal; Departamento de Química, Universidade da Beira Interior, Rua Marquês de Ávila e Bolama 6201-001 Covilhã, Portugal. Electronic address:
Rapid, quantitative, and sensitive detection of viral oligonucleotides can help to diagnose the infection before symptoms occur, monitor disease progression, and identify viral subtypes. A one-pot, simple, rapid hairpin-mediated nicking enzymatic signal amplification (HNESA) method was previously developed for nucleic acids detection. In the present work, this method was applied for the detection of SARS-CoV-2 RNA by designing an assistant probe (AP) that contains the complementary sequence for the target, the sequence of hybridization with the loop region of the molecular beacon (MB), and the recognition site of the nicking endonuclease Nt.
View Article and Find Full Text PDFNeural Netw
January 2025
Department of Mechanical Engineering, Politecnico di Milano, Milan, Italy.
Shadow removal remains a challenging visual task aimed at restoring the original brightness of shadow regions in images. Many existing methods overlook the implicit clues within non-shadow regions, leading to inconsistencies in the color, texture, and illumination of the reconstructed shadow-free images. To address these issues, we propose an efficient hybrid model of Transformer and Generative Adversarial Network (GAN), named ShadowGAN-Former, which utilizes information from non-shadow regions to assist in shadow removal.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Computer Science and Software Engineering, United Arab Emirates University, Al Ain, United Arab Emirates.
Background: Neuroimaging segmentation is increasingly important for diagnosing and planning treatments for neurological diseases. Manual segmentation is time-consuming, apart from being prone to human error and variability. Transformers are a promising deep learning approach for automated medical image segmentation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!