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| 1 | Trends in Incidence Rates,Mortality Rates,and Age-Period-Cohort Effects of Cervical Cancer—China,2003–2017显示文摘Introduction:This study reported the trends and analyzed the age-period-cohort effects on the incidence and mortality rates of cervical cancer in China.Methods:The age-standardized incidence rate(ASIR)and mortality rate(ASMR)by Segi’s world standard population were calculated using qualified consecutive data from 22 cancer registries from 2003 to 2017 in China.We performed joinpoint analysis to describe the trends and age-period-cohort analysis to estimate the independent effects of age,period and cohort on trends in incidence and mortality rates of cervical cancer.Results:The ASIR and ASMR for cervical cancer in females over 20 years old increased during 2003−2017.For females<50 years,a decreasing trend in ASIR and a stable trend in ASMR were observed in urban areas after 2009.But the ASIR and ASMR kept increasing in rural areas during the whole period.For females>50 years,the ASIR and ASMR increased both in urban and rural areas.Age-period-cohort analysis showed increasing period effects on cervical cancer incidence and mortality during the whole period.The cohort effects exhibited a downward-upwarddownward pattern for the incidence(1918–1938,1938–1963,1963–1993)and mortality rates(1918–1943,1943–1963,1963–1993)in urban areas,a fluctuating pattern for incidence rate and a continuing downward pattern for mortality rate(1918–1993)in rural areas.Conclusions:The increases in cervical cancer incidence and mortality rates can be mostly explained by period effects.We observed decreases in risk for cervical cancer incidence and mortality in young female generations,which were more obvious in urban areas. | Kexin Sun Rongshou Zheng Lin Lei Siwei Zhang Hongmei Zeng Shaoming Wang Li Li Ru Chen Bingfeng Han Ji Peng Wenqiang Wei Jie He | 2022 | China CDC weekly2022，4，48： | 4 |
| 2 | Adaptive Integrated Guidance and Control Based on Backstepping and I nput‐to‐ S tate S tability显示文摘 | Han Yan Xinghu Wang Bingfeng Yu Haibo Ji | 2014 | Asian J Control2014，，2： | 2 |
| 3 | Trends in Incidence Rates,Mortality Rates,and Age-Period-Cohort Effects of Female Breast Cancer—China,2003-2017显示文摘Introduction:This study reported the trends in female breast cancer incidence and mortality rates in China,and analyzed the corresponding age-periodcohort effects.Methods:Data from 22 population-based cancer registries in China between 2003 and 2017 were analyzed.Age-standardized incidence rates(ASIR)and mortality rates(ASMR)were calculated using Segi’s world standard population.Joinpoint regression was employed to evaluate trends,and age-period-cohort effects were examined using the intrinsic estimator method.Results:The ASIR for female breast cancer exhibited a more rapid increase in rural areas compared to urban areas across all age groups.The most substantial increase was observed in the 20-34 age group in rural areas[annual percent change(APC)=9.0%,95%confidence interval(CI):7.0%-11.0%,P<0.001].The ASMR for females under 50 years old remained stable from 2003 to 2017 in both urban and rural areas.However,the ASMR for females over 50 in rural areas and those over 65 in urban areas demonstrated a significant increase,with the most pronounced increase observed among females over 65 in rural areas(APC=4.9%,95%CI:2.8%-7.0%,P<0.001).Age-period-cohort analysis revealed increasing period effects and decreasing cohort effects for female breast cancer incidence and mortality rates in both urban and rural settings.Notably,the cohort effect for incidence displayed a slight upward trend for females born between 1983 and 1992 in rural areas.Conclusions:Our study revealed a rapid increase in breast cancer incidence among younger generations and an accelerated mortality rate in older populations residing in rural areas.To effectively address the growing burden of female breast cancer in China,it is essential to develop and implement targeted intervention strategies. | Kexin Sun Lin Lei Rongshou Zheng Siwei Zhang Hongmei Zeng Shaoming Wang Li Li Ru Chen Bingfeng Han Ji Peng Wenqiang Wei Jie He | 2023 | China CDC weekly2023，5，15： | 1 |
| 4 | Incidence and Mortality of Cancers in Female Genital Organs—China,2022显示文摘Introduction:This study presented the incidence and mortality rates of cancers affecting the female genital organs in China,along with their trends spanning from 2010 to 2018.Methods:700 population-based cancer registries provided relevant cancer incidence and mortality data for the year 2018.Among these,106 registries had continuous monitoring data suitable for trend analysis from 2010 to 2018.We focused specifically on cancers affecting female genital organs(ICD10=C51-C54,C56)and projected their incidences and mortalities in China for 2022 based on data from 2018 and the trends observed from 2010 to 2018.Age-standardized incidence rate(ASIR)and mortality rate(ASMR)were calculated using Segi’s world standard population.Results:In 2022,there were an estimated 296,300 new cases and 104,900 deaths from female cancers in China.ASIRs for vulva(C51),vagina(C52),cervix uteri(C53),corpus uteri(C54),and ovary(C56)were 0.32,0.23,13.83,6.84,and 5.68 per 100,000 population.ASIRs for corpus uteri and ovary cancers were higher in urban areas.ASMRs for vulva,vagina,cervix,corpus uteri,and ovary cancers were 0.14,0.08,4.54,1.05,and 2.64 per 100,000 population,respectively.ASMR for ovarian cancer was higher in urban areas.ASIRs and ASMRs for most female genital organ cancers increased from 2010 to 2018,although the rate of increase for vulvar and cervical cancers in rural areas has slowed recently.Conclusions:Tailored cancer prevention and control programs specific to each region are necessary to address the growing disease burden. | Kexin Sun Bingfeng Han Hongmei Zeng Shaoming Wang Li Li Ru Chen Rongshou Zheng Wenqiang Wei | 2024 | China CDC weekly2024，6，10： | 0 |
| 5 | Reversible Zn stripping/plating achieved by surface thin Sn layer for high-performance aqueous zinc metal batteries显示文摘Aqueous zinc metal batteries (ZMBs) are considered as the most promising candidate for large-scale energy storage system due to their abundant reserves and high safety. To achieve highly stable zinc metalbatteries, it is imperative to inhibit the unavoidable dendrite growth, which leads to the non-uniformzinc deposition and even makes the battery short circuit. Herein, Sn coating is loaded on copper foil(SCF) by a simple electrodeposition to guide the uniform zinc deposition, which not only lowers the zincnucleation overpotential but also promotes the uniform zinc deposition/dissolution. As a result, the Znplated SCF (Zn@SCF) anode presents a low voltage hysteresis of ∼40 mV and a superior stability over270 h in symmetric cells at a current density of 1 mA cm^(−2). Furthermore, the Zn@SCF anode can realizethe improved performance for full cells paired with α-MnO_(2) cathode. This work provides a simple andeffective approach to modify the Zn anode for improved electrochemical performance of ZMBs. | Bingfeng Cui Yu Gao Xiaopeng Han Wenbin Hu | 2022 | Journal of Materials Science & Technology2022，，22： | 0 |
| 6 | Crystal-phase engineering of PdCu nanoalloys facilitates selective hydrodeoxygenation at room temperature显示文摘Selective hydrodeoxygenation of biomass-derived aromatic alcohols to value-added chemical or fuel is of great importance for sustainable biomass upgrading,and hydrodeoxygenation of 5-hydroxymethylfurfural(HMF)to 2,5-dimethylfuran(DMF)is one of the most attractive reactions.Achieving the conversion of HMF to DMF using H_(2)at ambient temperature is challenging.In this work,we used PdCu nanoalloys to catalyze the selective hydrodeoxygenation reaction of HMF to DMF using H_(2)as the reducing agent.The reaction path and the product selectivity are governed by the crystallographic phase of the PdCu nanoalloys.It was discovered that body-centered cubic(BCC)PdCu nanoalloys supported on activated carbon(AC)exhibited outstanding performance with 93.6%yield of DMF at room temperature(PdCu/AC-BCC).A combination of experimental and density functional theory(DFT)studies showed that the tilted adsorption modes of furanic intermediates on PdCu-BCC nanoalloy surfaces accounted for the high selectivity of DMF;however,furan ring was activated on PdCu face-centered cubic(FCC)nanoalloy surfaces.Furthermore,PdCu/AC-BCC could also catalyze the hydrodeoxygenation of other aromatic alcohols at room temperature while maintaining the aromatic structures.This work opens the way for selective hydrodeoxygenation of the aromatic alcohols at room temperature with the aromatic ring intact. | Shaopeng Li Minghua Dong Mi Peng Qingqing Mei Yanyan Wang Junjuan Yang Youdi Yang Bingfeng Chen Shulin Liu Dequan Xiao Huizhen Liu Ding Ma Buxing Han | 2022 | The Innovation2022，3，1： | 0 |
| 7 | Degradation prediction of proton exchange membrane fuel cell stack using semi-empirical and data-driven methods显示文摘Degradation prediction of proton exchange membrane fuel cell(PEMFC)stack is of great significance for improving the rest useful life.In this study,a PEMFC system including a stack of 300 cells and subsystems has been tested under semi-steady operations for about 931 h.Then,two different models are respectively established based on semi-empirical method and data-driven method to investigate the degradation of stack performance.It is found that the root mean square error(RMSE)of the semi-empirical model in predicting the stack voltage is around 1.0 V,while the predicted voltage has no local dynamic characteristics,which can only reflect the overall degradation trend of stack performance.The RMSE of short-term voltage degradation predicted by the DDM can be less than 1.0 V,and the predicted voltage has accurate local variation characteristics.However,for the long-term prediction,the error will accumulate with the iterations and the deviation of the predicted voltage begins to fluctuate gradually,and the RMSE for the long-term predictions can increase to 1.63 V.Based on the above characteristics of the two models,a hybrid prediction model is further developed.The prediction results of the semi-empirical model are used to modify the input of the data-driven model,which can effectively improve the oscillation of prediction results of the data-driven model during the long-term degradation.It is found that the hybrid model has good error distribution(RSEM=0.8144 V,R2=0.8258)and local performance dynamic characteristics which can be used to predict the process of long-term stack performance degradation. | Yupeng Wang Kangcheng Wu Honghui Zhao Jincheng Li Xia Sheng Yan Yin Qing Du Bingfeng Zu Linghai Han Kui Jiao | 2023 | Energy and AI2023，11，1： | 0 |
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