A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (HRV). A g...A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (HRV). A group of healthy persons are studied and the results indicate that this method can effectively get nonlinear information from short (6—7 min) heartbeat series and consequently reflect the degree of heart rate variability, which supplies convenience in clinical application. Finally, a comparison with the traditional time domain method shows that the NAR model method can reflect the complexity of the whole signal and lessen the influence of noise and instability, in the signal.展开更多
Understanding the relationship between the timing of N fertilizer applications and crop primary production is crucial for achieving high yield and N use efifciency in agriculture. This study investigated the effects o...Understanding the relationship between the timing of N fertilizer applications and crop primary production is crucial for achieving high yield and N use efifciency in agriculture. This study investigated the effects of starting-N plus topdressing N applications （as compared to the common practice of all basal application） on soybean photosynthetic capacity under different planting densities. A ifeld experiment was conducted in two growing seasons （2011 and 2012）, and the soybean （Glycine max L. Merrill） cultivar was Dongnong 52, three planting densities （20, 25 and 30 plants m-2）, and four N fertilizer application patterns （all N fertilizer of 6 g N m-2 as basal fertilizer, all N fertilizer as topdressing at beginning pod stage （R3）, 1.8 g N m-2 as basal fertilizer and 4.2 g N m-2 as topdressing at stage R3 and full pod stage （R4）, respectively）. The results indicated that under the same planting density, compared to applying all N as basal fertilizer, the application of starter-N plus topdressing N substantially reduced the rate of pod abscission, and enhanced leaf area index （LAI） signiifcantly at beginning seed stage （R5） （P〈0.05）, net assimilation rate （NAR） during stages R4-full seed stage （R6） （P〈0.05）, contribution rate of post-seed iflling assimilate to seed （CPA） （P〈0.05）, and yield （P〈0.05）. Applying topdressing N at stage R4 resulted in higher net primary production and yield than applying topdressing N at stage R3. When applying starter-N plus topdressing N at planting density of 25 plants m-2, LAI after stage R5 and NAR after stage R4 were increased by 5.92-16.3%（P〈0.05） and 13.7-26.6%（P〈0.05） with the planting density of 20 plants m-2, respectively, and yield was 8.46-14.0%（P〈0.05） higher than that under 20 plants m-2. When planting density increased to 30 plants m-2, only LAI during stages R4-R5 and NAR during stages R4-R5 increased by applying starter-N plus topdressing N, while the other indexes declined. Ov展开更多
Background:The aims of this study were to evaluate the prognostic ability of the neoadjuvant rectal(NAR)score and to develop and validate a nomogram based on the NAR for patients with locally advanced rectal cancer(LA...Background:The aims of this study were to evaluate the prognostic ability of the neoadjuvant rectal(NAR)score and to develop and validate a nomogram based on the NAR for patients with locally advanced rectal cancer(LARC)treated with neoadjuvant chemoradiotherapy(nCRT).Methods:In total,307 patients,including 230 patients from the primary cohort and 77 from the external cohort,were enrolled across the two centers.The associations of the NAR score with the tumor response,tumor control,and clinicopathological parameters were analyzed.Survival analysis was performed in the primary and external cohorts using Kaplan‒Meier curves.Univariate and multivariate analyses were performed to evaluate the prognostic factors.The NAR-based nomogram was developed in the primary cohort and validated in the external cohort using the concordance index(C-index),calibration plots,and decision curve analyses(DCAs).Results:Kaplan‒Meier survival analysis revealed that the disease-free survival(DFS)and overall survival(OS)of the NAR>16 group were significantly lower than those of the NAR≤16 group(p<0.001).Multivariate Cox regression analysis identified the NAR score as an independent prognostic factor for both DFS(hazard ratio[HR]=2.484,95%confidence interval[CI]:1.159−5.323,p=0.019)and OS(HR=4.633,95%CI:1.076−19.941,p=0.04).Calibration plots and DCAs showed that NARbased nomograms for DFS and OS were consistent and useful in clinical practice.Moreover,the C-indexes of the NAR-based nomograms were better than those of the other variables in both the primary and external cohorts.Conclusion:Our study validates the prognostic role of the NAR score for DFS and OS.The NAR-based nomogram for OS could accurately predict the outcome of LARC patients by stratifying the risk score accordingly.展开更多
目的探讨鼻康片联合色甘萘甲那敏治疗过敏性鼻炎的临床疗效。方法回顾性分析2020年10月—2021年10月在武汉市红十字医院治疗的110例过敏性鼻炎患者的临床资料,随机分为对照组和治疗组,每组各55例。对照组给予色甘萘甲那敏鼻喷雾剂,每次...目的探讨鼻康片联合色甘萘甲那敏治疗过敏性鼻炎的临床疗效。方法回顾性分析2020年10月—2021年10月在武汉市红十字医院治疗的110例过敏性鼻炎患者的临床资料,随机分为对照组和治疗组,每组各55例。对照组给予色甘萘甲那敏鼻喷雾剂,每次两侧鼻孔各喷1下,3~5次/d,每次间隔>3 h;在对照组基础上,治疗组口服鼻康片,5片/次,3次/d。两组患者均连续治疗8周。观察两组患者临床疗效,比较治疗前后两组患者过敏性鼻炎生活质量测评量表(RQLQ)、鼻症状总分表(TNSS)、伴随症状总分(TNNSS)和鼻内镜(MLK)评分,血清白细胞介素-13(IL-13)、白细胞介素-23(IL23)、白细胞介素-27(IL-27)、可溶性血管细胞间黏附分子-1(sICAM-1)、可溶性程序性死亡配体-1(sPD-L1)和可溶性E选择素(sE-selectin)水平,鼻通气功能指标总鼻气道阻力(NAR)、0~5 cm鼻腔容积(NCV)和鼻腔最小横截面积(NMCA)水平。结果治疗后,对照组有效率为81.82%,明显低于治疗组96.36%(P<0.05)。治疗后,两组RQLQ、TNSS、TNNSS和MLK评分均明显改善(P<0.05);两组患者血清IL-13、IL-23、sICAM-1和sE-selectin水平均明显降低,而sPD-L1和IL27水平明显升高(P<0.05);两组0~5 cm NCV、NMCA均明显升高,而NAR均明显降低(P<0.05);且治疗组这些指标较对照组改善更明显(P<0.05)。结论鼻康片联合色甘萘甲那敏鼻喷雾剂治疗过敏性鼻炎可有效改善患者鼻部症状,提高鼻通气,改善血清细胞因子表达,有利于提高患者生活质量。展开更多
In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(AR...In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(ARIMA)model on the data collected from 31st January 2020 to 25th March 2020 and verified it using the data collected from 26th March 2020 to 04th April 2020.A nonlinear autoregressive(NAR)neural network was developed to compare the accuracy of predicted models.The model has been used for daily prediction of COVID-19 cases for next 50 days without any additional intervention.Statistics from various sources,including the Ministry of Health and Family Welfare(MoHFW)and http://covid19india.org/are used for the study.The results showed an increasing trend in the actual and forecasted numbers of COVID-19 cases with approximately 1500 cases per day,based on available data as on 04th April 2020.The appropriate ARIMA(1,1,0)model was selected based on the Bayesian Information Criteria(BIC)values and the overall highest R 2 values of 0.95.The NAR model architecture constitutes ten neurons,which was optimized using the Levenberg-Marquardt optimization training algorithm(LM)with the overall highest R 2 values of 0.97.展开更多
文摘A nonlinear autoregressive (NAR) model is built to model the heartbeat interval time series and the optimum model degree is proposed to be taken to evaluate the nonlinearity degree of heart rate variability (HRV). A group of healthy persons are studied and the results indicate that this method can effectively get nonlinear information from short (6—7 min) heartbeat series and consequently reflect the degree of heart rate variability, which supplies convenience in clinical application. Finally, a comparison with the traditional time domain method shows that the NAR model method can reflect the complexity of the whole signal and lessen the influence of noise and instability, in the signal.
基金financially supported by the Special Fund for Agro-Scientific Research in the Public Interest, China (201103003)the Key Technologies R&D Program of China during the 12th Five-Year Plan period (2012BAD20B04)
文摘Understanding the relationship between the timing of N fertilizer applications and crop primary production is crucial for achieving high yield and N use efifciency in agriculture. This study investigated the effects of starting-N plus topdressing N applications （as compared to the common practice of all basal application） on soybean photosynthetic capacity under different planting densities. A ifeld experiment was conducted in two growing seasons （2011 and 2012）, and the soybean （Glycine max L. Merrill） cultivar was Dongnong 52, three planting densities （20, 25 and 30 plants m-2）, and four N fertilizer application patterns （all N fertilizer of 6 g N m-2 as basal fertilizer, all N fertilizer as topdressing at beginning pod stage （R3）, 1.8 g N m-2 as basal fertilizer and 4.2 g N m-2 as topdressing at stage R3 and full pod stage （R4）, respectively）. The results indicated that under the same planting density, compared to applying all N as basal fertilizer, the application of starter-N plus topdressing N substantially reduced the rate of pod abscission, and enhanced leaf area index （LAI） signiifcantly at beginning seed stage （R5） （P〈0.05）, net assimilation rate （NAR） during stages R4-full seed stage （R6） （P〈0.05）, contribution rate of post-seed iflling assimilate to seed （CPA） （P〈0.05）, and yield （P〈0.05）. Applying topdressing N at stage R4 resulted in higher net primary production and yield than applying topdressing N at stage R3. When applying starter-N plus topdressing N at planting density of 25 plants m-2, LAI after stage R5 and NAR after stage R4 were increased by 5.92-16.3%（P〈0.05） and 13.7-26.6%（P〈0.05） with the planting density of 20 plants m-2, respectively, and yield was 8.46-14.0%（P〈0.05） higher than that under 20 plants m-2. When planting density increased to 30 plants m-2, only LAI during stages R4-R5 and NAR during stages R4-R5 increased by applying starter-N plus topdressing N, while the other indexes declined. Ov
基金This work was supported by grants from Peking University Third Hospital‖United‐Imaging Research Institution Intelligential Imaging Joint Research&Development Centre Foundation(H79462‐07)the National Natural Science Foundation of China(62173005)+2 种基金the Natural Science Foundation of Beijing(7204324)the special fund of the National Clinical Key Specialty Construction Program,China(2021)the National multidisciplinary cooperative diagnosis and treatment capacity building project for major diseases:comprehensive diagnosis and treatment of gastrointestinal tumors.
文摘Background:The aims of this study were to evaluate the prognostic ability of the neoadjuvant rectal(NAR)score and to develop and validate a nomogram based on the NAR for patients with locally advanced rectal cancer(LARC)treated with neoadjuvant chemoradiotherapy(nCRT).Methods:In total,307 patients,including 230 patients from the primary cohort and 77 from the external cohort,were enrolled across the two centers.The associations of the NAR score with the tumor response,tumor control,and clinicopathological parameters were analyzed.Survival analysis was performed in the primary and external cohorts using Kaplan‒Meier curves.Univariate and multivariate analyses were performed to evaluate the prognostic factors.The NAR-based nomogram was developed in the primary cohort and validated in the external cohort using the concordance index(C-index),calibration plots,and decision curve analyses(DCAs).Results:Kaplan‒Meier survival analysis revealed that the disease-free survival(DFS)and overall survival(OS)of the NAR>16 group were significantly lower than those of the NAR≤16 group(p<0.001).Multivariate Cox regression analysis identified the NAR score as an independent prognostic factor for both DFS(hazard ratio[HR]=2.484,95%confidence interval[CI]:1.159−5.323,p=0.019)and OS(HR=4.633,95%CI:1.076−19.941,p=0.04).Calibration plots and DCAs showed that NARbased nomograms for DFS and OS were consistent and useful in clinical practice.Moreover,the C-indexes of the NAR-based nomograms were better than those of the other variables in both the primary and external cohorts.Conclusion:Our study validates the prognostic role of the NAR score for DFS and OS.The NAR-based nomogram for OS could accurately predict the outcome of LARC patients by stratifying the risk score accordingly.
文摘目的探讨鼻康片联合色甘萘甲那敏治疗过敏性鼻炎的临床疗效。方法回顾性分析2020年10月—2021年10月在武汉市红十字医院治疗的110例过敏性鼻炎患者的临床资料,随机分为对照组和治疗组,每组各55例。对照组给予色甘萘甲那敏鼻喷雾剂,每次两侧鼻孔各喷1下,3~5次/d,每次间隔>3 h;在对照组基础上,治疗组口服鼻康片,5片/次,3次/d。两组患者均连续治疗8周。观察两组患者临床疗效,比较治疗前后两组患者过敏性鼻炎生活质量测评量表(RQLQ)、鼻症状总分表(TNSS)、伴随症状总分(TNNSS)和鼻内镜(MLK)评分,血清白细胞介素-13(IL-13)、白细胞介素-23(IL23)、白细胞介素-27(IL-27)、可溶性血管细胞间黏附分子-1(sICAM-1)、可溶性程序性死亡配体-1(sPD-L1)和可溶性E选择素(sE-selectin)水平,鼻通气功能指标总鼻气道阻力(NAR)、0~5 cm鼻腔容积(NCV)和鼻腔最小横截面积(NMCA)水平。结果治疗后,对照组有效率为81.82%,明显低于治疗组96.36%(P<0.05)。治疗后,两组RQLQ、TNSS、TNNSS和MLK评分均明显改善(P<0.05);两组患者血清IL-13、IL-23、sICAM-1和sE-selectin水平均明显降低,而sPD-L1和IL27水平明显升高(P<0.05);两组0~5 cm NCV、NMCA均明显升高,而NAR均明显降低(P<0.05);且治疗组这些指标较对照组改善更明显(P<0.05)。结论鼻康片联合色甘萘甲那敏鼻喷雾剂治疗过敏性鼻炎可有效改善患者鼻部症状,提高鼻通气,改善血清细胞因子表达,有利于提高患者生活质量。
文摘In this paper,we have applied the univariate time series model to predict the number of COVID-19 infected cases that can be expected in upcoming days in India.We adopted an Auto-Regressive Integrated Moving Average(ARIMA)model on the data collected from 31st January 2020 to 25th March 2020 and verified it using the data collected from 26th March 2020 to 04th April 2020.A nonlinear autoregressive(NAR)neural network was developed to compare the accuracy of predicted models.The model has been used for daily prediction of COVID-19 cases for next 50 days without any additional intervention.Statistics from various sources,including the Ministry of Health and Family Welfare(MoHFW)and http://covid19india.org/are used for the study.The results showed an increasing trend in the actual and forecasted numbers of COVID-19 cases with approximately 1500 cases per day,based on available data as on 04th April 2020.The appropriate ARIMA(1,1,0)model was selected based on the Bayesian Information Criteria(BIC)values and the overall highest R 2 values of 0.95.The NAR model architecture constitutes ten neurons,which was optimized using the Levenberg-Marquardt optimization training algorithm(LM)with the overall highest R 2 values of 0.97.
