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Deciphering controversial results of cell proliferation on TiO2 nanotubes using machine learning

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Regenerative Biomaterials 2021年第4期8卷 33-41页

作者： Ziao shen Si Wang Zhenyu shen Yufei Tang Junbin Xu Changjian lin Xun Chen Qiaoling Huang Department of Physics Research Institute for Biomimetics and Soft MatterFujian Provincial Key Laboratory for Soft Functional Materials ResearchXiamen UniversityZengcuoan West RoadSiming DistrictXiamen 361005China State Key Laboratory for Physical Chemistry of Solid Surfaces and Department of ChemistryCollege of Chemistry and Chemical EngineeringXiamen University422 Siming South RoadSiming DistrictXiamen 361005China Wenzhou Institute University of Chinese Academy of SciencesNo.16 Xinsan RoadHi-tech Industrial ParkWenzhouZhejiang325000China

With the rapid development of biomedical sciences,contradictory results on the relationships between biological responses and material properties emerge continuously,adding to the challenge of interpreting the incomprehensible interfacial *** the present paper,we use cell proliferation on titanium dioxide nanotubes(TNTs)as a case study and apply machine learning methodologies to decipher contradictory results in the *** gradient boosting decision tree model demonstrates that cell density has a higher impact on cell proliferation than other obtainable experimental features in most *** with the variation of other essential features,the controversy of cell proliferation trends on various TNTs is *** traversing all combinational experimental features and the corresponding forecast using an exhausted grid search strategy,we find that adjusting cell density and sterilization methods can simultaneously induce opposite cell proliferation trends on various TNTs diameter,which is further validated by *** case study reveals that machine learning is a burgeoning tool in deciphering controversial results in biomedical researches,opening up an avenue to explore the structure-property relationships of biomaterials.

关键词： TiO2 nanotubes cell proliferation controversial results machine learning

Evaluation and reflection on claudin 18.2 targeting therapy in advanced gastric cancer

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Chinese Journal of Cancer Research 2020年第2期32卷 263-270页

作者： Jianwei Zhang Ruilan Dong lin shen Key Laboratory of Carcinogenesis and Translational Research(Ministry of Education/Beijing) Department of Gastrointestinal OncologyPeking University Cancer Hospital&InstituteBeijing 100142China Health Science Center Peking UniversityBeijing 100191China

Claudin 18.2(CLDN18.2)is a tight-junction ***18.2-targeting strategy has cut a striking figure in CLDN18.2 positive patients with advanced gastric ***,the CLDN18.2 antibody,obtained a better clinical benefit in patients compared with the *** phase II trials,combination treatment of epirubicin,oxaliplatin and capecitabine(EOX)+zolbetuximab achieved the optimal effects of overall survival which extended to 13.2 months with tolerable safety events,indicating its greater potential playing the second promising target in gastric *** review will reveal the definitive clinical benefit CLDN18.2-targeting therapies have achieved and update the highlighting development(like chimeric antigen receptor T-cell immunotherapy)to CLDN18.2 positive *** then focus on 10 questions arisen from recent progress and anticipate to provide a future perspective for novel cancer treatment.

关键词： Claudin 18.2 gastric cancer zolbetuximab chimeric antigen receptor therapy

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基于消费需求的夜间登山智能鞋类设计

皮革科学与工程 2025年第1期35卷 63-69页

作者：孟子衿申鸿黄元菁杨文静宛如玉四川大学轻工科学与工程学院四川成都610065 温州鞋革产业研究院浙江温州325000

伴随着登山运动的不断普及以及鞋服智能化程度的不断加深,登山鞋靴的设计也亟待转型升级。以夜间登山智能鞋为研究对象,从消费者视角出发,通过词频分析法识别夜间登山鞋在实用性和智能化方面的关键需求,即发光和定位两大功能。总结出发... 详细信息

伴随着登山运动的不断普及以及鞋服智能化程度的不断加深,登山鞋靴的设计也亟待转型升级。以夜间登山智能鞋为研究对象,从消费者视角出发,通过词频分析法识别夜间登山鞋在实用性和智能化方面的关键需求,即发光和定位两大功能。总结出发光和定位两大类功能中的10项细分功能点,采用问卷调查法分析消费群体对各功能点的需求程度和需求差异。最后采用发光二极管(light Emitting Diode,LED)、荧光面料、全球定位系统(Global Positioning System,GPS)和智能互联技术,设计了一款集成照明、提示、导航、求助和互动等多种功能的智能夜间登山鞋。设计方案不仅拓展了登山鞋的功能性设计思路,且为夜间登山智能鞋的设计和制作提供了实践参考,有助于推动户外运动产业的智能化发展,满足消费者对夜间登山活动安全性和便捷性的要求。

关键词：智能鞋登山鞋消费需求鞋类设计户外运动智能可穿戴

Predicting lifetime risk for developing atherosclerotic cardiovascular disease in Chinese population:the China-PAR project

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Science Bulletin 2018年第12期63卷 779-787页

作者： Fangchao liu Jianxin li Jichun Chen Dongsheng Hu Ying li Jianfeng Huang Xiaoqing liu Xueli Yang Jie Cao Chong shen ling Yu Zhendong liu Xianping Wu liancheng Zhao Xigui Wu Dongfeng Gu Xiangfeng Lu Department of Epidemiology Fuwai Hospital State Key Laboratory of Cardiovascular DiseaseNational Center for Cardiovascular DiseasesChinese Academy of Medical Sciences and Peking Union Medical CollegeBeijing 100037China The 3rd Affiliated Hospital of shenzhen University Shenzhen 518001China Department of Prevention Medicine Shenzhen University School of MedicineShenzhen 518060China Division of Epidemiology Guangdong Provincial People's Hospital and Cardiovascular instituteGuangzhou 510080China Department of Epidemiology and Biostatistics School of Public HealthNanjing Medical UniversityNanjing 211166China Department of Cardiology Fujian Provincial People's HospitalFuzhou 350014China Cardio-Cerebrovascular Control and Research Center Institute of Basic MedicineShandong Academy of Medical SciencesJinan 250062China Sichuan Center for Disease Control and Prevention Chengdu 610041China

Evidence on the lifetime risk for atherosclerotic cardiovascular disease （ASCVD） is insufficient; yet, estimating an individual＇s lifetime risk allows for a comprehensive assessment of ASCVD burden. We developed and validated lifetime risk prediction equations for ASCVD using four large and ongoing prospective cohorts of Chinese, the China-PAR project （Prediction for ASCVD Risk in China）. Sexspecific equations were developed using two cohorts （as the derivation cohort） of 21,320 participants. Two other independent cohorts with 14,123 and 70,838 participants were used for their external valida- tion, respectively. We evaluated both calibration and discrimination measures for model performance. Furthermore, we estimated ASCVD-ffee years lost or excess absolute risk attributable to high 10-year risk （≥10.0%） and]or high lifetime risk （≥32.8%）. After 12.3 years＇ follow-up of the derivation cohort, 1048 ASCVD events and 1304 non-ASCVD deaths were identified. Our sex-specific equations had good internal validation, with discriminant C statistics of 0.776 （95% confidence interval [CI]： 0.757-0.794） and 0.801 （95% CI： 0.778-0.825）, and calibration Z2 of 9.2 （P = 0.418） and 5.6 （P = 0.777） for men and women, respectively. Good external validation was also demonstrated with predicted rates closely matched to the observed ones. Compared with men having both low 10-year and low lifetime risk, men would develop ASCVD 3.0, 4.6 and 8.6 years earlier if they had high 10-year risk alone, high lifetime risk alone, or both high 10-year and high lifetime risk at the index age of 35 years, respectively. We developed well- performed lifetime risk prediction equations that will help to identify those with the greatest potential to avert ASCVD burden after implementation of innovative clinical and public health interventions in China.

关键词： Atherosclerosis Cardiovascular disease lifetime risk Risk prediction

Co-benefits of Local Air Pollutants and Greenhouse Gas Reduction Achieved by Hydropower Development in Xizang(Tibet) Autonomous Region, China

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Chinese Geographical Science 2016年第3期26卷 304-313页

作者： ZHAO Wei KONG Fan'e shen Weishou Nanjing Institute of Environmental Sciences Ministry of Environmental Protection Nanjing 210042 China LA Y-OUT Planning Consultants Ltd. Shenzhen 518049 China

Hydropower development in Xizang(Tibet) Autonomous Region plays a vital role in co-control of local air pollutants and greenhouse gas(GHG) in China. According to emission factors of local air pollutants and GHG of coal-fired power industry in different hydropower service regions, we estimate the effect and synergy of local air pollutants and GHG reduction achieved by hydropower development in Tibet, examine the main factors constraining the effect and synergy, using correlation analysis and multiple regression analysis. The results show that: 1) During the period from 2006 to 2012, the effect of local air pollutants and GHG reduction achieved by hydropower development in Tibet decreased as a whole, while the synergy increased first and decreased afterwards. 2) The effect and synergy of local air pollutants and GHG reduction achieved by hydropower development in Tibet vary significantly across different hydropower service regions. The effect based on emission levels of Central China power grid(CCPG) and Northwest China power grid(NCPG) was more significant than that based on emission level of national power grid(NPG) from 2006 to 2012, and the synergy based on emission levels of CCPG and NCPG was also more significant than that based on emission level of NPG from 2010 to 2012. 3) The main factors constraining the effect and synergy based on emission levels of NCPG and CCPG included SO2 removal rate and NOx removal rate, the effect and synergy based on emission level of NPG was mainly influenced by net coal consumption rate. 4) Transferring hydropower from Tibet to NCPG and CCPG, and substituting local coal-fired power with hydropower can greatly help to co-control local air pollutants and GHG, transform the emission reduction pattern of the power industry and optimize energy structure.

关键词： hydropower development co-control synergy Tibet China

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鞍钢铁矿石烧结基础性能研究

东北大学学报（自然科学版） 2009年第8期30卷 1139-1142页

作者：尚策周明顺翟立委沈峰满东北大学材料与冶金学院辽宁沈阳110004 鞍钢股份有限公司炼铁厂辽宁鞍山114009

利用微型烧结实验装置及烧结杯试验,对鞍钢铁矿粉的同化特性、液相固结强度、液相流动性及连晶能力等烧结特性进行综合评价.在此基础上,提出了烧结合理配矿原则,并应用到生产实践.研究结果表明,鞍钢烧结生产应以精矿B,D搭配精矿C为主,... 详细信息

利用微型烧结实验装置及烧结杯试验,对鞍钢铁矿粉的同化特性、液相固结强度、液相流动性及连晶能力等烧结特性进行综合评价.在此基础上,提出了烧结合理配矿原则,并应用到生产实践.研究结果表明,鞍钢烧结生产应以精矿B,D搭配精矿C为主,球团生产应以精矿A为主.配矿优化调整后,炼铁技术经济指标明显改善,高炉利用系数提高了0.043 t/(m3.d),入炉焦比降低了5.28 kg/t,烧结矿成本降低2.2元/t.

关键词：铁矿石烧结矿基础性能合理配矿配矿试验

Spatial distribution and formation mechanism of aeolian sand in the middle reaches of the Yarlung Zangbo River

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Journal of Mountain Science 2019年第9期16卷 1987-2000页

作者： liU Yong WANG Yun-sheng shen Tong State Key Lab. of Geo-Hazard Prevention and Geo-Environment Protection Chengdu University of Technology Chengdu China Institute of Exploration Technology Chinese Academy of Geological Sciences Chengdu China

Aeolian sand landforms in the Yarlung Zangbo River(YZR) valley are a special type of aeolian landform that has attracted the attention of many scholars. However, the spatial distribution as well as the formation mechanism of aeolian sand has rarely been reported with integrated studies. In this paper, for remote sensing interpretation, scanning electron microscopy(SEM), X-ray diffraction(XRD) and particle size distribution(PSD) methods were used to analyze the spatial distribution and the deposition characteristics of aeolian sand. Combined with wind data and topography, the main driving factors and the formation mechanism of aeolian sand landforms were also examined. In the middle reaches of the YZR valley, there is a total of 2324.43 km^2 of aeolian sand, especially on the north bank of the wide valleys. In different wide valleys, the aeolian sand landforms exhibit a decreasing trend from the upstream to the downstream regions in both the area and expansion rate of aeolian sand. The cyclonic vortexes generated by the westerly winds and glacial winds are the main driving factors for transporting alluvial sand to the riverbank areas to form aeolian dunes. There are three main types of sand dunes in the river valley: climbing dunes, lee dunes and circumfluent dunes. Climbing dunes and lee dunes are mostly located west of the Jiacha Gorge, and the circumfluent dunes are mostly located east of the Jiacha Gorge.

关键词： Aeolian processes Remote sensing interpretation Scanning electron microscopy X-ray diffraction Particle size distribution Glacial winds Cyclonic vortexes

A novel period estimation method for X-ray pulsars based on frequency subdivision

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Frontiers of Information Technology & Electronic Engineering 2015年第10期16卷 858-870页

作者： li-rong shen Xiao-ping li Hai-feng SUN Hai-yan FANG Meng-fan XUE School of Aerospace Science and Technology Xidian University

Period estimation of X-ray pulsars plays an important role in X-ray pulsar based navigation （XPNAV）. The fast Lomb periodogram is suitable for period estimation of X-ray pulsars, but its performance in terms of frequency resolution is limited by data length and observation time. Longer observation time or oversampling can be employed to improve frequency analysis results, but with greatly increased computational complexity and large amounts of sampling data. This greatly restricts real-time autonomous navigation based on X-ray pulsars. To resolve this issue, a new method based on frequency subdivision and the continuous Lomb periodogram （CLP） is proposed to improve precision of period estimation using short-time observation data. In the proposed method, an initial frequency is first calculated using fast Lomb periodogram. Then frequency subdivision is per- formed near the initial frequency to obtain frequencies with higher precision. Finally, a refined period is achieved by calculating the CLP in the obtained frequencies. Real data experiments show that when observation time is shorter than 135 s, the proposed method improves period estimation precision by 1-3 orders of magnitude compared with the fast Lomb periodogram and fast Fourier transform （FFT） methods, with only a slight increase in computational complexity. Furthermore, the proposed method performs better than efsearch （a period estimation method of HEAsoft） with lower computational complexity. The proposed method is suitable for estimating periods of X-ray pulsars and obtaining the rotation period of variable stars and other celestial bodies.

关键词： Pulsar navigation Period estimation Frequency subdivision Continuous Lomb periodogram

Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature

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Plant Phenomics 2021年第1期3卷 115-128页

作者： Jian Wang Bizhi Wu Markus VKohnen Daqi lin Changcai Yang Xiaowei Wang Ailing Qiang Wei liu Jianbin Kang Hua li Jing shen Tianhao Yao Jun Su Bangyu li lianfeng Gu Institute of Crop Sciences Ningxia Academy of Agriculture and Forestry ScienceYinchuanNingxia 750105China Basic Forestry and Proteomics Research Center College of ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China State Key Laboratory of Marine Environmental Science Xiamen UniversityChina Digital Fujian Institute of Big Data for Agriculture and Forestry Key Laboratory of Smart Agriculture and ForestryFujian Agriculture and Forestry UniversityFuzhou 350002China Seed Workstations of the Ningxia Hui Autonomous Region YinchuanNingxia 750004China Aerospace Information Research Center Institute of AutomationChinese Academic ScienceBeijing 100190China

High-yield rice cultivation is an effective way to address the increasing food demand *** classification of high-yield rice is a key step of ***,manual measurements within breeding programs are time consuming and have high cost and low throughput,which limit the application in large-scale field *** this study,we developed an accurate large-scale approach and presented the potential usage of hyperspectral data for rice yield measurement using the XGBoost algorithm to speed up the rice breeding process for many *** total,13 japonica rice lines in regional trials in northern China were divided into different categories according to the manual measurement of *** an Unmanned Aerial Vehicle(UAV)platform equipped with a hyperspectral camera to capture images over multiple time series,a rice yield classification model based on the XGBoost algorithm was *** comparison experiments were carried out through the intraline test and the interline test considering lodging characteristics at the midmature stage or *** result revealed that the degree of lodging in the midmature stage was an important feature affecting the classification accuracy of ***,we developed a low-cost,high-throughput phenotyping and nondestructive method by combining UAV-based hyperspectral measurements and machine learning for estimation of rice yield to improve rice breeding efficiency.

关键词： breeding equipped consuming