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ObjectiveTo observe the effect of repetitive transcranial magnetic stimulation (rTMS) combined with local vibration (LVB) therapy on lower limb spasticity, balance function and gait function in children with hemiplegic cerebral palsy（HCP).MethodsA total of 66 children with HCP , who were treated in the Children's Hospital of Soochow University from January 2022 to December 2022 were randomly divided into control group, rTMS group and combined group, with 22 cases in each group. The control group received routine rehabilitation training (physical modality therapy, spasmodic muscle stretching training, postural transfer training, standing blance training and gait training, etc), 30 minutes a time, once a day, five days a week, lasting for twelve weeks. The rTMS group received low-frequency rTMS treatment additionally, with a frequency of five Hz and a stimulation intensity of 35% motor threshold (MT), the stimulation time of 10 s, and the interval of 20 s, 20 minutes a time, once a day, five days a week, lasting for 12 weeks. The combined group received LVB therapy in addition to the treatment of the rTMS group, and the vibration frequency was set to 15-20 Hz, within seven mm displacement, 10 minutes a time, once a day, five days a week, lasting for 12 weeks. Before and after treatment, the modified Ashworth scale (MAS) was used to evaluate the muscle tone; the balance subscale of Fugl-Meyer test (FM-B) was used to evaluate the balance function, and the Gait Watch three-dimensional gait analysis system was used to evaluate the three-dimensional gait parameters (stride speed, stride length, hip flexion, knee flexion and ankle flexion of the affected side).ResultsCompared with that before treatment, MAS scores of the rTMS group and the combined group after treatment decreased significantly, the FM-B scores and gait parameters (stride speed, stride length, hip flexion, knee flexion and ankle flexion of the affected side) increased significantly, and the differences were statistically significant (PPP

Objectives: Allergic rhinitis (AR) is an immunoglobulin (Ig)E-mediated inflammatory condition that is highly prevalent worldwide. The aim of this pilot trial was to evaluate the feasibility and safety of self-administered acupressure for AR. Methods: A randomized, single-blind, non-specific controlled clinical trial was conducted at Royal Melbourne Institute of Technology (RMIT) University, Melbourne, Australia. Fifteen AR patients were randomized into two groups: self-administered acupressure at five specific acupressure (SA) points or five non-specific acupressure (NSA) points (1 min/point, twice a day), and treated for 4 weeks with an 8-week follow-up period. The primary outcome was the change in 7-point scale symptom severity. Secondary outcomes included the rhinoconjunctivitis quality of life questionnaire and standardized activities (RQLQs), medication usage, adverse events and participants' opinions of the blinding method. The Statistical Package for the Social Science (SPSS) version 26 was used for data analyses. Results: Fourteen participants completed the study and no major adverse events were reported. No statistically significant differences between SA and NSA groups were identified in 7-point scale symptom severity scores, RQLQs or medication usage. However, participants in the SA group believed that SA was useful for AR and recommended it for self-care. The credibility of the blinding method was successful. No adverse effects were considered to be related to the intervention. Conclusion: Acupressure is feasible and appears to be safe for self-administration by AR sufferers. Experience from this pilot study has guided minor amendments to the protocol. A large-scale randomized controlled trial is warranted to further investigate the efficacy and safety of self-administered acupressure for the management of AR. [ABSTRACT FROM AUTHOR]

In order to strengthen the centralized management and control on the work of substations in all aspects and increase the real-time surveillance and safety level of unattended substations, this paper carries out a study on the intelligent analysis and pre-warning platform of power grid video surveillance based on “the integration of regulation and control”. With the design idea of combining centralization and distribution, this platform screens and analyzes a large amount of videos intelligently through the target characteristic detection method based on vision and the means of pattern classification, realizing accurate warnings of the work of unattended substations.