Objective To explore the effect of self efficacy combined with mobile health information service applied in pulmonary rehabilitation in residence in elderly patients with chronic obstructive pulmonary disease. Methods Sixty-eight elderly patients in stable situation were divided into the control group and the intervention group with 34 cases in each group accoridng to the random digit table. In the control group, the nursing intervention included health education and telephone follow-up. The intervention group adopted self efficacy theory combined with mobile health information service. The items such as persistence in pulmonary rehabilitation, Exercise Self-Regulatory Efficacy Scale (Ex-SRES) and health condition were assessed. Results After intervention for 12 weeks, the scores of persistence in pulmonary rehabilitation in residence in the intervention group scored 5.35 ±1.42, which was higher than that in the control group (2.03±1.40), the difference was significant (t=160.43, P<0.01). Ex-SRES of the intervention group scored 62.06±13.10,91.21±11.12, which were higher than those of the control group, 50.38±18.03,42.56±18.23, the difference was significant (t=9.32,176.88, P<0.01) . The interaction between treatment effects and time effect was significant in COPD Assessment of Tool (CAT) and Ex-SRES respectively(F=489.95,P=0.00;F=134.80, P=0.00). Comparing value of CAT in baseline (24.97±4.74,24.62±5.39) and at the end of the twelfth week(24.94±4.74,24.65±5.35), the difference was not significant in two groups respectively(P>0.05). The improvement of CAT was significant at the end of the twenty-forth week (21.90±4.67) in the intervention group (t=-12.09, P<0.01). Conclusions Self efficacy theory and the application of mobile health information services can help patients persist in long-term rehabilitation exercise training.

Objective To apply short message service (SMS) for pulmonary rehabilitation in residence. Methods A total of 102 old pa-tients with chronic obstructive pulmonary disease (COPD) in stable situation were equally divided into three groups randomly. They all ac-cepted a two-week lesson of exercise project, and then took in the project for 22 weeks. Meanwhile, group A phoned to their experts once a week, group B was phoned by their experts once a week, and group C accepted SMS once a day and sent back to the experts. They were in-vestigated with Exercise Self Regulatory Efficacy Scale (Ex-SERS), modified British Medical Research Council Scale (mMRC) and COPD Assessment Test (CAT) before and after intervention. Results The score of Ex-SERS was the most in group C (F=179.53, P<0.001), with the interaction of time (F=387.09, P<0.001). While the scores of mMRC (F=8.754, P<0.001) and CAT (F=11.32, P<0.001) were the least in group C. Conclusion Application of SMS in the integrated management for pulmonary rehabilitation in residence may improve the self regu-latory efficacy of exercise, release the dyspnea and the influence on living in patients with COPD.

Objective To explore the effect of the autoregressive integrated moving average model?nonlinear auto?regressive neural network(ARIMA?NARNN)model on predicting schistosomiasis infection rates of population. Methods The ARIMA model,NARNN model and ARIMA?NARNN model were established based on monthly schistosomiasis infection rates from Janu?ary 2005 to February 2015 in Jiangsu Province,China. The fitting and prediction performances of the three models were com?pared. Results Compared to the ARIMA model and NARNN model,the mean square error(MSE),mean absolute error (MAE)and mean absolute percentage error(MAPE)of the ARIMA?NARNN model were the least with the values of 0.011 1, 0.090 0 and 0.282 4,respectively. Conclusion The ARIMA?NARNN model could effectively fit and predict schistosomiasis in?fection rates of population,which might have a great application value for the prevention and control of schistosomiasis.

The levels of low-density lipoprotein(LDL)glycation from control group,diabetic HbA1C < 7.0%,and HbA1C>7.0% groups were(17.7±2.31),(34.29±5.73),and(48.79±7.82)Glycogroups/LDL by fluorimetry.The LDL binding to its receptor in three groups were(37.65±5.20),(27.36±4.34),and(15.07± 2.23)ng/mg cell protein measured by enzyme-linked immunoreceptor assay.The glycated levels in two diabetic groups were higher than that in control group,and higher in HbA1C>7.0% group than in HbA1C<7.0% group(all P< 0.01).The results of LDL binding capacity to its receptor were just the opposite.

Recently,immunologists have payed the attention to the effects of ionizing radiation on tumor immunity,and attempted to induce and improve anti-tumor immune effects with it.More and more evidences showed that exact radiotherapy scheme and irradiation dose,particularly combined with immunotherapy,could induce or regulate systemic immune response and contributed to tumor control and inflammatory occurrence.This paper reviewed the effects and mechanisms of radiotherapy on tumor immune and the results in combination with immunotherapy here for guiding the effective combined application of radiotherapy and immunotherapy.

Objective To study the application of walking combined with Buerger exercise in the treatment of grade 0 diabetic foot.Methods Eighty patients with grade 0 diabetic foot were randomly divided into observation group and control group.The control group was trained by walking exercise .The observation group was trained by walking combined with Buerger exercise through 12 months of training.The changes of self-sensory symptoms,ABI and DAWV were observed.Results The self-sensory symptoms of the two groups were significantly decreased (observation group: markedly effective 15 cases,effective 19 cases;control group: markedly effective 5 cases,effective 23 cases).The effective rate of the observation group was higher than that of the control group (85% vs.70%,χ2 =7.831,P <0.05).The ABI ratio of the two groups were higher than those before treatment ,and the ABI ratio of the observation group was higher than that of the control group [(0.889 ±0.113) vs.(0.842 ±0.124),t =1.772 P <0.05].The ratio of DAWV in the observation group was higher than that in the control group [(6.772 ±0.435)cm/s vs.(6.543 ±0.552)cm/s,t =2.061,P <0.05].Conclusion Walking combined with Buerger exercise can improve the blood flow velocity and blood flow of the collateral circulation of the lower limbs of patients with grade 0 diabetic foot,and improve the self-sensory symptoms of peripheral neuropathy .

Objective:To explore the clinical application value of a deep learning algorithm-based ultrasound biomicroscopy (UBM) image analysis system for primary angles-closure glaucoma (PACG) anterior located ciliary body.Methods:A diagnostic test study was conducted.A total of 2 132 UBM images from 726 eyes of 378 PACG patients who underwent UBM examination were collected at Renmin Hospital of Wuhan University from August 2022 to December 2023.The dataset was divided into a training set of 1 599 images and a test set of 533 images, and a deep learning algorithm was employed to construct a model.An additional 334 UBM images from 101 eyes of 69 PACG patients treated at Huangshi Aier Eye Hospital were selected to conduct external testing.A separate set of another 110 UBM images were selected for a human-machine competition to compare the accuracy and speed between anterior located ciliary body evaluation system and three senior ophthalmologists.Furthermore, eight junior ophthalmologists assessed the 110 UBM images independently without and with the assistance of the model, and the differences between the two evaluations were analyzed to assess the assisstance effect of the model.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY-2022-K109).Results:The model achieved an accuracy of 93.43% for anterior located ciliary body identification in the internal test set, with a sensitivity of 84.30% and a specificity of 97.78%.The model also performed well on the external test set with an accuracy of 92.81%.In the human-machine competition, the model's accuracy was comparable to that of the senior ophthalmologists and outperformed two of the three senior ophthalmologists.The average total time of the three senior ophthalmologists was 726.73 seconds, approximately 12.47 times longer than the model's 58.30 seconds.With model assistance, the diagnostic accuracy of the eight junior ophthalmologists was 86.71%, which was significantly higher than 76.25% without model assistance ( χ2=-7.550, P<0.001).And the image evaluation time was (714.91±213.82)seconds, which was significantly lower than (987.90±238.56)seconds without model assistance ( t=2.774, P<0.05). Conclusions:The UBM image analysis system based on a deep learning algorithm demonstrates high accuracy in diagnosing anterior located ciliary body in PACG and provides a strong support for the UBM image recognition training of junior ophthalmologists.

Cell metabolism is one of the basic characteristics of life, and the host metabolic state is closely related to the process and outcome of viral infection. Viruses can use the metabolites in host cells to complete the life cycle. When the virus particles are adsorbed onto the surface of the susceptible cells and enter the cells, a series of biomolecules synthesized by the host cells are involved in the intracellular transport of the virus. Thus, the virus completes its replication cycle and infects more cells. Besides, metabolic reactions and metabolites can regulate the host antiviral responses at various stages of viral infection, thus affecting the outcome of viral infection. Therefore, cell metabolism plays key roles in affecting viral infection and host antiviral responses. In this paper, the effects of cell metabolism on the interaction between viruses and host cells will be described from the six stages of virus replication cycle in vivo.

Objective To investigate the application of resistive exercise combined with Buerger exercise in lower extremity vascular disease of type 2 diabetes mellitus .Methods According to the order of admission ,120 type 2 diabetes mellitus patients with lower extremity vascular disease were randomly divided into resistance exercise group ,Buerger exercise group and combined exercise group ,with 40 cases in each group .The resistance exercise group was given resistance exercise ,the Buerger exercise group was given Buerger exercise ,and the combined exercise group was given resistance exercise combined with Buerger movement .The changes of self -inductance ,ABI and DAWV of the three groups were observed .Results The clinical symptoms of the three groups were significantly reduced ( the resistance exercise group:markedly effective in 10 cases,effective in 14 cases;the Burger exercise group:markedly effective in 15 cases,effective in 17 cases;the combined exercise group: markedly effective in 22 cases,effective in 13 cases),the effective rate of the combined exercise group was higher than that of the resistance exercise group and Buerger exercise group ( the resistance exercise group:60.0％;the Burger exercise group:80.0％;the combined exercise group:87.5％,χ2 =11.333,P <0.05).The ABI of the three groups were higher than those before treatment,and the ABI ratio of the combined exercise group [(0.933 ±0.113)]was higher than that of the resistance exercise group[(0.866 ±0.112)] and the Buerger exercise group[(0.888 ±0.111)](t=1.796,2.663,all P<0.05 ) .The DAWV of the three groups increased compared with those before treatment , and the DAWV of the combined exercise group[(7.023 ±0.535)cm/s]was higher than that of the resistance exercise group [(6.633 ± 0.552)cm/s] and the Buerger exercise group [(6.772 ±0.435) cm/s] (t =2.302,3.209,all P <0.05). Conclusion Resistant exercise combined with Buerger exercise is helpful to improve the blood flow velocity and blood flow in the lower extremity vessel of patients with diabetic lower limb vascular disease , and can improve the self-sensitization symptoms of peripheral neuropathy in patients .

Objective:To establish and verify a diagnostic model for distinguishing multiple sclerosis (MS) from other neurological diseases with similar symptoms by usingcerebrospinal fluid oligoclonal band (CSF-OCB)combined with IgG intrathecal synthesis indicators and biochemical markers.Methods:Multiple sclerosis (MS) patients admitted to the Neurology Department of Beijing Tiantan Hospital affiliated with Capital Medical University from January 2014 to December 2022 were selected as the case group, while patients with similar neurological symptoms were selected as the control group. Using the case-control study design, a retrospective analysis was conducted on the detection of age, gender, oligoclonal bands in cerebrospinal fluid, IgG intrathecal synthesis indicators and biochemical indicators for all study subjects. The differential diagnosis model was determined by the multiple logistic regression analysis, and the receiver operating characteristic (ROC) curve was used to analyze the diagnostic efficiency of the differential diagnosis model for neurological diseases with similar symptoms to MS and other conditions.Results:This study included 167 patients in the case group and 335 patients in the control group, of which 128 patients in the case group and 265 patients in the control group were used to construct the model, and 39 patients in the case group and 70 patients in the control group were used for model validation. The differential diagnostic model constructed by a multivariate logistic regression model was Y=0.871×CSF-OCB-0.051×CSFprotein-0.231×CSFchloride+1.183×gender-0.036×LDH+35.770. The model showed that the area under the curve, sensitivity and specificity were respectively 0.916, 87.3% and 87.6%. The Delong test results showed that the diagnostic efficacy of the model was significantly different from OCB, IgG intrathecal synthesis indicators, and OCB combined with IgG intrathecal synthesis indicators ( P<0.05). The new model validation showed that the actual diagnostic consistency rate for the MS group was 84.6%, while the actual diagnostic consistency rate for the control group was 90.0%. Conclusion:This study combines OCB, IgG intrathecal synthesis indicators, and biochemical indicators to establish a diagnostic prediction model for neurological diseases with similar clinical symptoms in MS. This model may have good differential diagnostic value and can better assist clinical diagnosis in the early stages of disease progression in MS patients.