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| 1 | Image reconstruction algorithm based on fixed-point iteration for electrical capacitance tomography显示文摘 | Cuihuan Li Xiaoguang Yang Youhua Wang | 2011 | Lecture Notes in Electrical Engineering2011，100，： | 1 |
| 2 | Human papillomavirus type 16 and 18 infection is associated with lungcancer patients from the central part of China显示文摘 | Yongping Wang Aifeng Wang Rui Jiang Huaxiong Pan Bangxing Huang Yan Lu Cuihuan Wu | 2008 | Oncology Reports2008，，2： | 1 |
| 3 | 58 cases of anastomosis of finger distal segment severed finger replantation artery after care显示文摘 | Chen Tongchun he Cuihuan Yan Huiqian | | 0，，14： | 1 |
| 4 | Picosecond electrical response in graphene/MoTe_(2) heterojunction with high responsivity in the near infrared region显示文摘Understanding the fundamental charge carrier dynamics is of great significance for photodetectors with both high speed and high responsivity.Devices based on two-dimensional(2D)transition metal dichalcogenides can exhibit picosecond photoresponse speed.However,2D materials naturally have low absorption,and when increasing thickness to gain higher responsivity,the response time usually slows to nanoseconds,limiting their photodetection performance.Here,by taking time-resolved photocurrent measurements,we demonstrated that graphene/MoTe_(2) van der Waals heterojunctions realize a fast 10 ps photoresponse time owing to the reduced average photocurrent drift time in the heterojunction,which is fundamentally distinct from traditional Dirac semimetal photodetectors such as graphene or Cd_(3)As_(2) and implies a photodetection bandwidth as wide as 100 GHz.Furthermore,we found that an additional charge carrier transport channel provided by graphene can ef-fectively decrease the photocurrent recombination loss to the entire device,preserving a high responsivity in the near-infrared region.Our study provides a deeper understanding of the ultrafast electrical response in van der Waals heterojunctions and offers a promising approach for the realization of photodetectors with both high responsivity and ultrafast electrical response. | Zhouxiaosong Zeng Kai Braun Cuihuan Ge Martin Eberle Chenguang Zhu Xingxia Sun Xin Yang Jiali Yi Delang Liang Yufan Wang Lanyu Huang Ziyu Luo Dong Li Anlian Pan Xiao Wang | 2022 | Fundamental Research2022，2，3： | 0 |
| 5 | Applications of synthetic biology in medical and pharmaceutical fields显示文摘Synthetic biology aims to design or assemble existing bioparts or bio-components for useful bioproperties.During the past decades,progresses have been made to build delicate biocircuits,standardized biological building blocks and to develop various genomic/metabolic engineering tools and approaches.Medical and pharmaceutical demands have also pushed the development of synthetic biology,including integration of heterologous pathways into designer cells to efficiently produce medical agents,enhanced yields of natural products in cell growth media to equal or higher than that of the extracts from plants or fungi,constructions of novel genetic circuits for tumor targeting,controllable releases of therapeutic agents in response to specific biomarkers to fight diseases such as diabetes and cancers.Besides,new strategies are developed to treat complex immune diseases,infectious diseases and metabolic disorders that are hard to cure via traditional approaches.In general,synthetic biology brings new capabilities to medical and pharmaceutical researches.This review summarizes the timeline of synthetic biology developments,the past and present of synthetic biology for microbial productions of pharmaceutics,engineered cells equipped with synthetic DNA circuits for diagnosis and therapies,live and auto-assemblied biomaterials for medical treatments,cell-free synthetic biology in medical and pharmaceutical fields,and DNA engineering approaches with potentials for biomedical applications. | Xu Yan Xu Liu Cuihuan Zhao Guo-Qiang Chen | 2023 | Signal Transduction and Targeted Therapy2023，8，6： | 0 |
| 6 | Efficient conversion of lignin waste and self-assembly synthesis of C@MnCo_(2)O_(4)for asymmetric supercapacitors with high energy density显示文摘Lignin waste from the papermaking and biorefineries industry is a significantly promising renewable resource to prepare advanced carbon materials for diverse applications,such as the electrodes of supercapacitors;however,the improvement of their energy density remains a challenge.Here,we design a green and universal approach to prepare the composite electrode material,which is composed of lignin-phenolformaldehyde resins derived hierarchical porous carbon(LR-HPC)as conductive skeletons and the self-assembly manganese cobaltite(MnCo_(2)O_(4))nanocrystals as active sites.The synthesized C@MnCo_(2)O_(4)composite has an abundant porous structure and superior electronic conductivity,allowing for more charge/electron mass transfer channels and active sites for the redox reactions.The composite shows excellent electrochemical performance,such as the maximum specific capacitance of~726 mF cm^(-2)at 0.5 mV s^(-1),due to the significantly enhanced interactive interface between LR-HPC and MnCo_(2)O_(4)crystals.The assembled all-solid-state asymmetric supercapacitor,with the LR-HPC and C@MnCo_(2)O_(4)as cathode and anode,respectively,exhibits the highest volumetric energy density of 0.68 mWh cm^(-3)at a power density of 8.2 mW cm^(-3).Moreover,this device shows a high capacity retention ratio of~87.6%at 5 mA cm^(-2)after 5000 cycles. | Jiahui Mu Cuihuan Li Jiankang Zhang Xianliang Song Sheng Chen Feng Xu | 2023 | Green Energy & Environment2023，8，5： | 0 |
| 7 | Difficulty-aware prior-guided hierarchical network for adaptive segmentation of breast tumors显示文摘Breast tumor segmentation is vital to tumor detection at the early stages. Deep learning methods are typically used in automatic tumor segmentation tasks. However, in existing methods, the difference between pixels is disregarded, and the union network architecture is used to segment all pixels;these methods involve a tradeoff between accuracy and efficiency. A novel, difficulty-aware, prior-guided hierarchical network for the adaptive segmentation of breast tumors is presented herein. A difficulty prior learning module is proposed to learn the pixel's difficulty prior to guild adaptive segmentation in the proposed network. To achieve a more accurate segmentation of hard pixels, a hard pixel processing unit is presented to learn more discriminative features for hard pixels. Experiments are conducted based on three datasets. The experimental results show that the proposed methods outperform traditional deep learning methods and achieve a balance between accuracy and efficiency. | Sumaira HUSSAIN Xiaoming XI Inam ULLAH Syeda Wajiha NAIM Kashif SHAHEED Cuihuan TIAN Yilong YIN | 2023 | Science China(Information Sciences)2023，66，2： | 0 |
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