[Purpose] The purpose of our study was to investigate the effects of isometric exercises
using electromyographic biofeedback (EMGBF) and ultrasound biofeedback (USBF) on maximum
voluntary isometric contraction (MVIC), pain assessed by the Visual Analogue Scale (VAS),
and vastus medialis oblique (VMO) thickness in patients with knee osteoarthritis (OA).
[Subjects and Methods] Thirty females over 65 years of age who had been diagnosed with
knee osteoarthritis were recruited and randomly assigned to three groups, each comprising
of 10 subjects. The Subjects in the EMGBF training and USBF training groups were trained
with the corresponding physical training exercise program targeting the vastus medialis
oblique, whereas the subjects in the control group were treated with conventional physical
therapies, such as a hot pack, ultrasound, and transcutaneous electrical nerve
stimulation. Subjects in each group were trained or treated for 20 min, 3 times a week for
8 weeks. [Results] The MVIC in the EMGBF and USBF training groups was significantly
increased compared with that in the control group, and the VAS score (for measurement of
pain) in the EMGBF and USBF training groups was significantly decreased compared with that
in the control group. Only the EMGBF training group showed a significantly increased VMO
thickness compared with before training. [Conclusion] These results suggest that USBF
training is similar to EMGBF training in terms of its effectiveness and is helpful for
treating patients with knee OA.
We found an association between biomarkers of EE and seroconversion to the first dose of RV5. It is possible that interventions that prevent or ameliorate EE may also improve oral rotavirus vaccine response.
To better understand underlying causes of lower rotavirus vaccine effectiveness in low-middle income countries (LMICs), we measured innate antiviral factors in Nicaraguan mothers' milk and immune response to the first dose of the pentavalent rotavirus vaccine in corresponding infants. No relationship was found between concentrations of innate factors and rotavirus vaccine response.
The application field of supercomputing systems are changing to support into the field for both a large-volume data processing and high-performance computing at the same time such as bio-applications. These applications require high-performance distributed file system for storage management and efficient high-speed processing of large amounts of data that occurs. In this paper, we introduce MAHA-FS for supercomputing systems for processing large amounts of data and high-performance computing, providing excellent metadata operation performance and IO performance. It is shown through performance analysis that MAHA-FS provides excellent performance in terms of the metadata processing and random IO processing.
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