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| 1 | Suppression of m6A reader Ythdf2 promotes hematopoietic stem cell expansion显示文摘 | Zhenrui Li Pengxu Qian Wanqing Shao Hailing Shi Xi C. He Madelaine Gogol Zulin Yu Yongfu Wang Meijie Qi Yunfei Zhu John M. Perry Kai Zhang Fang Tao Kun Zhou Deqing Hu Yingli Han Chongbei Zhao Richard Alexander Hanzhang Xu Shiyuan Chen Allison Peak Kathyrn Hall Michael Peterson Anoja Perera Jeffrey S. Haug Tari Parmely Hua Li Bin Shen Julia Zeitlinger Chuan He Linheng Li | 2018 | Cell Research2018，28，9： | 18 |
| 2 | Algorithms for k-fault tolerant power assignments in wireless sensor networks显示文摘This paper addresses fault-tolerant many-to-many routing power assignments in heterogeneous wire-less sensor networks.We introduce the k-fault tolerant power assignments problem with the objective of assigning each sensor node transmission power such that(1) any pairwise sensor node is k-vertex connected and(2) the to-tal power consumption is minimized.We propose three solutions for this problem:two centralized algorithms,a greedy algorithm and an O(√n/ε)-approximation algorithm,and an h-hop distributed and localized algorithm.Related theorems and proofs are presented to prove the correctness of our approaches.Furthermore,simulation and experiment results are presented to verify the efficiency of our approaches. | LIU Li 1,2,LI Lian 1,3 & HU Bin 1,4 1 School of Information Science and Engineering,Lanzhou University,Lanzhou 730000,China 2 LRI,Univ Paris-sud and CNRS,Orsay F-91405,France 3 School of Computer and Information,Hefei University of Technology,Hefei 230009,China 4 Department of Computing,Birmingham City University,Galton Building,Perry Barr,Birmingham B42 2SU,UK | 2010 | Science China(Information Sciences)2010，53，12： | 5 |
| 3 | Mitoehondrial failures in Alzhei- mer's disease 显示文摘 | hu X Smith MA Perry G | 2004 | Am J Alzheimers Dis Other Demen2004，19，6： | 1 |
| 4 | Regulation of membrane targeting of the G protein-coupled receptor kinase2by protein kinase A and its anchoring protein AKAP79显示文摘 | Cong M Perry SJ Lin FT Fraser ID Hu LA Chen W | 2001 | J Biol Chem2001，276，15： | 1 |
| 5 | Highly sensitive microfiber ultrasound sensor for photoacoustic imaging显示文摘An ultrasound wave is a kind of acoustic signal with a frequency greater than 20 kHz,which is widely used in diverse fields such as medical imaging diagnosis,nondestructive testing and resource exploration.A variety of ultrasound sensors have been developed for ultrasound detection.Particularly for photoacoustic imaging,specialized ultrasound sensors with high sensitivity,small size,and broad bandwidth are needed.However,achieving such sensor perform-ance still poses a great challenge to the current state-of-the-art in ultrasound sensor technology.A recent work pub-lished in Opto-Electronic Advances(DOI:10.29026/oea.2022.200076)proposes a microfiber-based ultrasound sensor that breaks the limitations of existing ultrasound sensors.Benefiting from the large evanescent field characteristic of mi-crofiber,combined with the coherent detection technology,the proposed sensor realized highly sensitive ultrasound de-tection and demonstrated excellent performance in high-resolution photoacoustic imaging.The highly sensitive and mini-aturized microfiber ultrasound sensor provides a competitive alternative for various applications,such as endoscopic photoacoustic imaging of the intestinal tract and blood vessels in animals. | Perry Ping Shum Gerd Keiser Georges Humbert Dora Juan Juan Hu APing Zhang Lei Su | 2023 | Opto-Electronic Advances2023，6，6： | 0 |
| 6 | High Sensitivity C-Reactive Protein Associated with Different Health Predictors in Middle-Aged and oldest old Chinese显示文摘Objective To describe the distribu on of plasma high sensi vity C-reac ve protein (hsCRP) and explore the rela onship between hsCRP and metabolic risk factors among residents living in longevity areas of China.Methods 268 individuals aged between 40 and 59 years and 506 individuals aged over 90 years were selected from 5 longevity areas of China to par cipate in a cross sec on longitudinal cohort study.The par cipants were interviewed with general health related ques onnaire to collect their demographic,behavioral and lifestyle data,as well as their chronic condi ons,and meanwhile their physical and biomedical parameters including waist circumference (WC),blood pressure (BP),hsCRP,plasma lipids,and fas ng blood glucose (FBG) were measured.Results The median of hsCRP was 0.99 mg/L in the middle-aged group and 1.76 mg/L in the oldest old group.No significant gender difference was observed between the above two groups.Among the oldest old individuals,36.56% had an hsCRP level >3.0 mg/L.The prevalence of high hsCRP was 16.79% in the middle-aged group.The results of stepwise mul ple linear regression analyses showed that HDL-C was independently associated with ln (hsCRP) concentra on in the middle-aged group,whereas ln (TG),HDL-C and FBG were correlated a er adjustment for gender,study site,smoking,drinking,educa on and BMI in the oldest old group.Conclusion HDL-C is a stronger predictor of elevated hsCRP than other metabolic factors in the middle-aged popula on.For the oldest old persons,high TG,low HDL-C,and FBG predict elevated plasma hsCRP. | ZHAI Yi SHI Xiao Ming FITZGERALD Simon Michael QIAN Han Zhu KRAUS Virginia B SERENY Melanie HU Perry YIN Zhao Xue XU Jian Wei ZENG Yi | 2012 | Biomedical and Environmental Sciences2012，25，3： | 0 |
| 7 | Specialty optical fibers for advanced sensing applications显示文摘Optical fiber technology has changed the world by enabling extraordinary growth in world-wide communications and sensing.The rapid development and wide deployment of optical fiber sensors are driven by their excellent sensing performance with outstanding flexibility,functionality,and versatility.Notably,the research on specialty optical fibers is playing a critical role in enabling and proliferating the optical fiber sensing applications.This paper overviews recent developments in specialty optical fibers and their sensing applications.The specialty optical fibers are reviewed based on their innovations in special structures,special materials,and technologies to realize lab in/on a fiber.An overview of sensing applications in various fields is presented.The prospects and emerging research areas of specialty optical fibers are also discussed. | Huanhuan Liu Dora Juan Juan Hu Qizhen Sun Lei Wei Kaiwei Li Changrui Liao Bozhe Li Cong Zhao Xinyong Dong Yuhan Tang Yihong Xiao Gerd Keiser Perry Ping Shum | 2023 | Opto-Electronic Science2023，2，2： | 0 |
| 8 | RSPSSL:A novel high-fidelity Raman spectral preprocessing scheme to enhance biomedical applications and chemical resolution visualization显示文摘Raman spectroscopy has tremendous potential for material analysis with its molecular fingerprinting capability in many branches of science and technology.It is also an emerging omics technique for metabolic profiling to shape precision medicine.However,precisely attributing vibration peaks coupled with specific environmental,instrumental,and specimen noise is problematic.Intelligent Raman spectral preprocessing to remove statistical bias noise and sample-related errors should provide a powerful tool for valuable information extraction.Here,we propose a novel Raman spectral preprocessing scheme based on self-supervised learning(RSPSSL)with high capacity and spectral fidelity.It can preprocess arbitrary Raman spectra without further training at a speed of~1900 spectra per second without human interference.The experimental data preprocessing trial demonstrated its excellent capacity and signal fidelity with an 88%reduction in root mean square error and a 60%reduction in infinite norm({L}_{{\infty}})compared to established techniques.With this advantage,it remarkably enhanced various biomedical applications with a 400%accuracy elevation(ΔAUC)in cancer diagnosis,an average 38%(few-shot)and 242%accuracy improvement in paraquat concentration prediction,and unsealed the chemical resolution of biomedical hyperspectral images,especially in the spectral fingerprint region.It precisely preprocessed various Raman spectra from different spectroscopy devices,laboratories,and diverse applications.This scheme will enable biomedical mechanism screening with the label-free volumetric molecular imaging tool on organism and disease metabolomics profiling with a scenario of high throughput,cross-device,various analyte complexity,and diverse applications. | Jiaqi Hu Gina Jinna Chen Chenlong Xue Pei Liang Yanqun Xiang Chuanlun Zhang Xiaokeng Chi Guoying Liu Yanfang Ye Dongyu Cui De Zhang Xiaojun yu Hong Dang Wen Zhang Junfan Chen Quan Tang Penglai Guo Ho-Pui Ho Yuchao Li Longqing Cong Perry Ping Shum | 2024 | Light(Science & Applications)2024，13，2： | 0 |
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