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@#Objective To evaluate the effects of spinal manipulation therapy (SMT) on chronic nonspecific neck pain (CNSNP) by using World Health Organization Family International Classifications (WHO-FICs). Methods Randomized controlled trials (RCTs) about the effects of SMT on CNSNP were searched from PubMed, Web of Science, Cochrane Library, EMBASE, EBSCO, CBM and CNKI from database establishment to December 31st, 2021. At least two researchers extracted the data. Cochrane bias risk assessment tool and Physiotherapy Evidence Database Scale were used to evaluate the quality of the included articles. Revman 5.4 software and Stata 16.0 software were used for meta-analyses and publication bias analysis respectively. Results A total of 15 RCTs that represented 1 067 participants were evaluated. In terms of body functions, compared with the control group, SMT significantly reduced Visual Analog Score for pain (MD = -0.85, 95%CI -1.06 to -0.63, P < 0.00001) and Numerical Rating Scale (MD = -0.92, 95%CI -1.29 to -0.55, P < 0.001), increased pressure pain thresholds (SMD = 0.67, 95%CI 0.47 to 0.86, P < 0.001), cervical range of motion (ROM) of flexion/extension (SMD = 0.51, 95%CI 0.33 to 0.68, P < 0.001) and rotation (SMD = 0.20, 95%CI 0.01 to 0.38, P = 0.04), improved root mean square of cervical muscles electromygraphy (MD = 2.17, 95%CI 0.06 to 4.29, P = 0.04), but not significantly in cervical ROM of lateral flexion (SMD = 0.19, 95%CI -0.00 to 0.38, P = 0.06), cervical strength (SMD = -0.18, 95%CI -0.84 to 0.49, P = 0.60) and endurance (SMD = 0.18, 95%CI -0.39 to 0.75, P = 0.53). In term of activities and participation, SMT significantly improved cervical disability (MD = -0.96, 95%CI -1.55 to -0.38, P = 0.001), but not significantly in health status of patients with CNSNP (SMD = 0.08, 95%CI -0.03 to 0.20, P = 0.15). Conclusion SMT could improve pain intensity, pain sensitivity, cervical ROM and disability in patients with CNSNP, but its efficacy on muscle function, proprioception and health status is unclear.
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@#2 115 patents of China Pharmaceutical University since the Eleventh Five-Year Plan for National Economic and Social Development were retrieved through the incoPat patents analysis database. By the analyses of the application trend, the legal status, the duration of patents maintenance, the field and theme of patent technologies, transfer and licensing, foreign patents application and so on, this paper combs the characteristics of patent development of the university, and hopes to provide the basis for the formulation of intellectual property strategies, and the planning and adjustment of disciplines in the construction of the university in its “Double First-Class” initiative.
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We proposed a new deep learning model by analyzing electroencephalogram signals to reduce the complexity of feature extraction and improve the accuracy of recognition of fatigue status of pilots. For one thing, we applied wavelet packet transform to decompose electroencephalogram signals of pilots to extract the δ wave (0.4-3 Hz), θ wave (4-7 Hz), α wave (8-13 Hz) and β wave (14-30 Hz), and the combination of them was used as de-nosing electroencephalogram signals. For another, we proposed a deep contractive auto-encoding network-Softmax model for identifying pilots' fatigue status. Its recognition results were also compared with other models. The experimental results showed that the proposed deep learning model had a nice recognition, and the accuracy of recognition was up to 91.67%. Therefore, recognition of fatigue status of pilots based on deep contractive auto-encoding network is of great significance.
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Objective To explore the curative effectiveness of comprehensive voice training methods on teachers' voice disorders patients by using subjective and objective assessment. Methods Forty-seven teachers' voice disorders patients suffering from voice symptoms without organic disease and complete follow-up data as the research object were treated with a three-month comprehensive voice training program. Training content included relieving laryngeal muscle tension, improving the throat vocal cord movement and reconstruction methods of pronunciation. The use of voice acoustic analysis and voice handicap index(VHI) were compared before and after training. Results The jitter and shimmer were significantly decreased after comprehensive voice training from 1.06(0.79,1.38)％and 2.71(2.16,3.24)％to 0.78 (0.59, 0.99)％ and 1.64(1.03,2.45)％, the differences were significant (Z=3.249,-4.121, P<0.05). Maximum phonation time and dysphonia severity index were significantly increased obviously from (9.87 ± 2.61)s and-2.23±0.75 to (12.81±1.97)s and-0.43±1.65 respectively, the differences were significant (t=-6.057,-5.273, P<0.05). After the training, the VHI score of voice disorder index decreased from (37.41±4.96)points to (26.31± 4.29) points after the comprehensive voice training. In addition to emotional function, the difference was statistically significant(t=12.715, 5.881, 11.483, P<0.05). Conclusions Voice training can reduce the degree of voice disorders effectively, increase the power of the respiratory system, therefore improve the voice quality of teachers with voice disorders. The subjective and objective combination assessment can evaluate the quality of the patient′s voice more thoroughly and evaluate the clinical efficacy of voice training further.
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Objective To observe the effects of low dose irradiation (LDI) on autoiogous CIK cell proliferation, phenotype and killing activity in tumor patients, and to provide the evidence for clinical application of adoptive immunotherapy with CIK cells. Methods Peripheral blood mononuclear cells (PBMC) were separated from 10 patients with malignant tumor, and CIK cells were cultured with different cytokines. (1) After 10 d culture, C1K cells were irradiated with different doses as 30, 50, 80, 100 and 200 Gy of X-rays was also detected. The CIK cell proliferation and killing activity were measured with 3H-TdR incorporation assay and 3H-TdR release assay, respectively and the percentage variation of CD3 +CD56 + were measured with flow cytometry after 24 h. ( 1 ) Autologous CIK cells were irradiated with 80 mGy X-rays. At different culture time ( 12, 24, 48, 72 h) after irradiation, the killing activity was measured with 3H-TdR release assay. (3) The effect of 3d low dose irradiation of 80 mGy X-rays on thekilling activity of CIK cells was also detected. Results After the CIK cells were irradiated with different doses as 50, 80, 100, 200 mGy of X-rays, the CPM values were 20 048.6 ± 2332. 2 ( t = 2.2, P ＜0.05), 21 832.2 ±2975.9 (t=3.5, P＜0.01), 21 000.3 ±2451.1 (t=3.3, P＜0.01), 19908.1 ±2051.0 ( t = 2.2, P ＜ 0.05 ), respectively and the proliferation of CIK cells were significantly higher than that of control group. The CD3 + CD56 + cell percentage of 50, 80, 100 mGy groups were ( 30.3 ±3.8)% (t=2.3, P＜0.05), (32.3±3.4)% (t=4.2, P＜0.01), (29.742.9)% (t = 2.4, P＜0.05 ), respectively. The killing activity of CIK cells of 80, 100 mGy groups were 55.2 ± 5.0 ( t = 3.3, P ＜ 0.01 ), 52.8 ± 4.1 ( t = 2.3, P ＜ 0.05 ), respectively. The killing activity of CIK cells up-regulated significantly at 24 h, dropped to normal levels at 48 h and 72 h. After 80 mGy X-ray irradiation for 3 consecutive days, the killing activity of CIK cells at different time points were 55.2 ± 5.3 (t = 2.6, P ＜0.05),61.9 ± 4.4 (t = 4.7, P ＜0.01), 67.2 ±5.7 (t = 5.7, P ＜0.01) for 24, 48, 72 h,respectively. Conclusions LDI might have the hormesis effect on CIK cells.