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Limitation of the Augmentation Index for Evaluating Arterial Stiffness

2007 Hypertension Research  
Although the augmentation index (AIx) is widely used to evaluate arterial stiffness in clinics and research, some conflicting data exist in regard to its validity. We therefore performed a series of studies to test the validity of AIx. The first study in 196 peritoneal dialysis patients showed that AIx in diabetics was lower than that in non-diabetic patients (p <0.05), which was in contradiction with the previous studies. Further analysis showed that AIx was just weakly correlated with pulse
more » ... essure (PP)-a known index of arterial stiffness. We also found that the increase of augmentation pressure (AP) was usually accompanied with increased central PP (C-PP). As AP and C-PP are used as the numerator and denominator in the AIx formula, an increase in the numerator (AP) would not necessarily result in an increase of the quotient (AIx) unless the denominator (C-PP) was stable. We then conducted a second study trying to test the validity of AIx through mathematical ratiocination. The increases in the central second peak (P2) and AP were assumed to represent increased arterial stiffness. Different values of AIx were obtained by varying the central initial systolic peak (P1) and diastolic pressure (DP). Mathematical ratiocination showed that AIx was dependent on multiple factors, F = ( SP-DP) ( P 1 -P 2 )+( P 2 -P 1 ) (SP-DP), which suggested that a change of AIx would not always be attributable to changes in P 2 and AP. This speculation was further proved by clinical data in our third study. In conclusion, through a series of studies and ratiocination, we showed that the augmentation index (AIx or AIx@75bpm) might not be a sensitive surrogate for a change in central pressure waveforms, which is a manifestation of change in large artery function. The limitation of AIx as an index of arterial stiffness is rooted in its formula, which has a clear mathematical flaw. ( Hypertens Res 2007; 30: 713-722)
doi:10.1291/hypres.30.713 pmid:17917319 fatcat:w4dbi7kb45ei7coa652yhbypby

ScaleNAS: One-Shot Learning of Scale-Aware Representations for Visual Recognition [article]

Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen
2020 arXiv   pre-print
Scale variance among different sizes of body parts and objects is a challenging problem for visual recognition tasks. Existing works usually design dedicated backbone or apply Neural architecture Search(NAS) for each task to tackle this challenge. However, existing works impose significant limitations on the design or search space. To solve these problems, we present ScaleNAS, a one-shot learning method for exploring scale-aware representations. ScaleNAS solves multiple tasks at a time by
more » ... ing multi-scale feature aggregation. ScaleNAS adopts a flexible search space that allows an arbitrary number of blocks and cross-scale feature fusions. To cope with the high search cost incurred by the flexible space, ScaleNAS employs one-shot learning for multi-scale supernet driven by grouped sampling and evolutionary search. Without further retraining, ScaleNet can be directly deployed for different visual recognition tasks with superior performance. We use ScaleNAS to create high-resolution models for two different tasks, ScaleNet-P for human pose estimation and ScaleNet-S for semantic segmentation. ScaleNet-P and ScaleNet-S outperform existing manually crafted and NAS-based methods in both tasks. When applying ScaleNet-P to bottom-up human pose estimation, it surpasses the state-of-the-art HigherHRNet. In particular, ScaleNet-P4 achieves 71.6% AP on COCO test-dev, achieving new state-of-the-art result.
arXiv:2011.14584v1 fatcat:epf25rte2bb7laqqtf2t6mevtq

5-HAYED peptide can protect AD brain by scavenging the redundant iron ions and the catalyzed radicals [article]

Zhenyou Zou, Shengxi Shao, Li Li, Xiaoying Cheng, Qiqiong Shen
2018 bioRxiv   pre-print
We synthesized a soluble iron-pro 5-HAYED peptide.  ...  By injecting 5-HAYED to the cerebrospinal fluid (CSF) of the AD mouse, we observed that the 5-HAYED is able to decrease the brain iron and radical level, which behaving neurons protection, and can ameliorate  ...  ., Japan), the 89 peptide oligomer was sequenced as "HAYED HAYED HAYED HAYED HAYED", which is 90 approximately 300 nm in length ( Fig. 2 -B-c) and completely conformed to our design. 91 Pure 5-HAYED  ... 
doi:10.1101/373639 fatcat:epfxqz5v55cndguhkeznv3dwmq

Step Nonisothermal Method in Kinetics Studies of Captopril Oxidation under Compressed Oxygen

Bing LIN, Xian-Cheng ZHAN, Lin-Li LI, Cheng-Rong LI, Hai-Jun QI, Jian-Lin TAO
2008 Yakugaku zasshi  
A step nonisothermal experiment under high oxygen pressure and a computation with optimization for a step nonisothermal experiment on a stability study of drugs are introduced. The kinetics parameters of captopril oxidation in aqueous solution were determined with this method. It is reported that the reaction of captopril solution occurs under either aerobic or anaerobic conditions, giving diŠerent products. Then the total rate constant k total can be expressed as: k total =k anaerobic +k
more » ... c =A anaerobic exp (-E a, anaerobic /RT )+A aerobic exp (-E a, aerobic /RT )p O2 , where k anaerobic and k aerobic are the rate constants of anaerobic and aerobic degradation, respectively. The results indicate that the parameters obtained in the step nonisothermal experiment are comparable to those obtained in isothermal-isobaric experiments.
doi:10.1248/yakushi.128.617 pmid:18379179 fatcat:hnzh5u43onfyzlznjhdjrmdlum

A computer aided measurement method for unstable pelvic fractures based on standardized radiographs

Jing-xin Zhao, Zhe Zhao, Li-cheng Zhang, Xiu-yun Su, Hai-long Du, Li-ning Zhang, Li-hai Zhang, Pei-fu Tang
2015 BMC Medical Imaging  
To set up a method for measuring radiographic displacement of unstable pelvic ring fractures based on standardized X-ray images and then test its reliability and validity using a software-based measurement technique. Methods: Twenty-five patients that were diagnosed as AO/OTA type B or C pelvic fractures with unilateral pelvis fractured and dislocated were eligible for inclusion by a review of medical records in our clinical centre. Based on the input pelvic preoperative CT data, the
more » ... d X-ray images, including inlet, outlet, and anterior-posterior (AP) radiographs, were simulated using Armira software (Visage Imaging GmbH, Berlin, Germany). After representative anatomic landmarks were marked on the standardized X-ray images, the 2-dimensional (2D) coordinates of these points could be revealed in Digimizer software (Model: Mitutoyo Corp., Tokyo, Japan). Subsequently, we developed a formula that indicated the translational and rotational displacement patterns of the injured hemipelvis. Five separate observers calculated the displacement outcomes using the established formula and determined the rotational patterns using a 3D-CT model based on their overall impression. We performed 3D reconstruction of all the fractured pelvises using Mimics (Materialise, Haasrode, Belgium) and determined the translational and rotational displacement using 3-matic suite. The interobserver reliability of the new method was assessed by comparing the continuous measure and categorical outcomes using intraclass correlation coefficient (ICC) and kappa statistic, respectively. Result: The interobserver reliability of the new method for translational and rotational measurement was high, with both ICCs above 0.9. Rotational outcome assessed by the new method was the same as that concluded by 3-matic software. The agreement for rotational outcome among orthopaedic surgeons based on overall impression was poor (kappa statistic, 0.250 to 0.426). Compared with the 3D reconstruction outcome, the interobserver reliability of the formula method for translational and rotational measures was perfect with both ICCs more than 0.9. Conclusions: The new method for measuring displacement using a formula was reliable, and could minimise the measurement errors and maximise the precision of pelvic fracture description. Furthermore, this study was useful for standardising the operative plan and establishing a theoretical basis for robot-assisted pelvic fracture surgery based on 2-D radiographs.
doi:10.1186/s12880-015-0084-x pmid:26423682 pmcid:PMC4588254 fatcat:2qbbqpczk5fbtan32cnwx7pwwe

Hemocyte-Mediated Phagocytosis in Crustaceans

Shan Liu, Shu-Cheng Zheng, Yan-Lian Li, Jun Li, Hai-Peng Liu
2020 Frontiers in Immunology  
Copyright © 2020 Liu, Zheng, Li, Li and Liu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).  ... 
doi:10.3389/fimmu.2020.00268 pmid:32194551 pmcid:PMC7062681 fatcat:fcrnybmkd5bp3j6sskeobb3u54

ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High Efficiency Feature Representation

Hai-Cheng Yi, Zhu-Hong You, Xi Zhou, Li Cheng, Xiao Li, Tong-Hai Jiang, Zhan-Heng Chen
2019 Molecular Therapy: Nucleic Acids  
Cancer is a well-known killer of human beings, which has led to countless deaths and misery. Anticancer peptides open a promising perspective for cancer treatment, and they have various attractive advantages. Conventional wet experiments are expensive and inefficient for finding and identifying novel anticancer peptides. There is an urgent need to develop a novel computational method to predict novel anticancer peptides. In this study, we propose a deep learning long short-term memory (LSTM)
more » ... ral network model, ACP-DL, to effectively predict novel anticancer peptides. More specifically, to fully exploit peptide sequence information, we developed an efficient feature representation approach by integrating binary profile feature and k-mer sparse matrix of the reduced amino acid alphabet. Then we implemented a deep LSTM model to automatically learn how to identify anticancer peptides and non-anticancer peptides. To our knowledge, this is the first time that the deep LSTM model has been applied to predict anticancer peptides. It was demonstrated by cross-validation experiments that the proposed ACP-DL remarkably outperformed other comparison methods with high accuracy and satisfied specificity on benchmark datasets. In addition, we also contributed two new anticancer peptides benchmark datasets, ACP740 and ACP240, in this work. The source code and datasets are available at
doi:10.1016/j.omtn.2019.04.025 pmid:31173946 pmcid:PMC6554234 fatcat:wyzi3phbrbbvxligchqzmac7om

Biomarkers and potential pathogenesis of colorectal cancer-related ischemic stroke

Qi-Xiong Qin, Xue-Min Cheng, Li-Zhi Lu, Yun-Fei Wei, Da-Cheng Wang, Hai-Hua Li, Guo-Hui Li, Hong-Bin Liang, Sheng-Yu Li, Li Chen, Zhi-Jian Liang
2018 World Journal of Gastroenterology  
To investigate the specific biomarkers and potential pathogenesis of colorectal cancer-related ischemic stroke (CRCIS). A retrospective study was conducted on CRCIS patients (colorectal cancer patients with ischemic stroke without conventional stroke risk factors) registered at seven centers between January 2007 and December 2017. Clinical data and laboratory and imaging findings were compared with age- and sex- matched patients with colorectal cancer (CRC) without ischemic stroke that were
more » ... tted to the same hospital during the same period. Univariate and multivariate analyses were performed to analyze the independent risk factors for CRCIS. A receiver operator characteristic curve was configured to calculate the optimal cut-off value of the products of the independent risk factors for CRCIS. A total of 114 CRCIS patients and 114 CRC patients were included. Multiple lesions in multiple vascular territories were common in CRCIS patients (71, 62.28%). The levels of plasma D-dimer, carcinoembryonic antigen (CEA), cancer antigen 125, and neutrophil count were significantly higher in CRCIS patients than in CRC patients. Multiple logistic regression analysis revealed that plasma D-dimer levels [odds ratio (OR) = 1.002, 95% confidence interval (CI): 1.001-1.003, P < 0.001], CEA levels (OR = 1.011, 95%CI: 1.006-1.015, P < 0.001), and neutrophil count levels (OR = 1.626, 95%CI: 1.268-2.087, P < 0.001) were independent risk factors for CRCIS. In addition, receiver operator characteristic curve revealed that the area under curve for the products of plasma D-dimer, CEA, and neutrophil count was 0.889 ± 0.022 (95%CI: 0.847-0.932, P < 0.001), and the optimal cut-off value for the product was 252.06, which was called the CRCIS Index, with a sensitivity of 86.0% and specificity of 79.8%. Hypercoagulability induced by elevated CEA and neutrophils may be an important cause of CRCIS. The CRCIS index, which serves as a biomarker of CRCIS, needs further study.
doi:10.3748/wjg.v24.i43.4950 pmid:30487704 pmcid:PMC6250925 fatcat:frdqlugmbrburhmiodoyfw5ktq

The surface modes loss control of hollow-core photonic crystal fibers

Cheng Sheng-Fei, Peng Jing-Gang, Li Jin-Yan, Cheng Lan, Jiang Zuo-Wen, Li Hai-Qing, Dai Neng-Li, Jiang Fa-Gang, Yang Xiao-Bo
2012 Wuli xuebao  
2) ( 华中科技大学同济医学院附属协和医院, 武汉 430074 )
doi:10.7498/aps.61.244207 fatcat:24ayugiusnbkva6nba24afwceq

Megadrought and cultural exchange along the proto-silk road

Liangcheng Tan, Guanghui Dong, Zhisheng An, R. Lawrence Edwards, Haiming Li, Dong Li, Robert Spengler, Yanjun Cai, Hai Cheng, Jianghu Lan, Rustam Orozbaev, Ruiliang Liu (+3 others)
2020 Science Bulletin  
Liangcheng Tan and Dong Li conducted the age model. Liangcheng Tan, Dong Li, and Rustam Orozbaev did the field work.  ...  Guanghui Dong, Haiming Li, Robert Spengler, and Ruiliang Liu analyzed the archeological sites.  ... 
doi:10.1016/j.scib.2020.10.011 fatcat:ysj5n6igdfcqlkg56rn2fpnitm

Autophagy Promotes Peripheral Nerve Regeneration and Motor Recovery Following Sciatic Nerve Crush Injury in Rats

Hai-cheng Huang, Li Chen, Hai-xing Zhang, Sheng-fa Li, Pei Liu, Tian-yun Zhao, Chuan-xiang Li
2016 Journal of Molecular Neuroscience  
Acknowledgments The authors would like to thank director Chuanxiang Li from the Third Affiliated Hospital of Southern Medical University and Prof. Xiao-chun Bai from School of Basic Medical Science.  ...  Hai-cheng Huang and Li Chen have equal contribution. Under conditions of stress, autophagy enhances cellular adaptation to prolong survival (Bergmann 2007) .  ... 
doi:10.1007/s12031-015-0672-9 pmid:26738732 pmcid:PMC4829621 fatcat:yo4lwuc5jvh4xbfm6yhosbxxym

A Deep Learning Framework for Robust and Accurate Prediction of ncRNA-Protein Interactions Using Evolutionary Information

Hai-Cheng Yi, Zhu-Hong You, De-Shuang Huang, Xiao Li, Tong-Hai Jiang, Li-Ping Li
2018 Molecular Therapy: Nucleic Acids  
The interactions between non-coding RNAs (ncRNAs) and proteins play an important role in many biological processes, and their biological functions are primarily achieved by binding with a variety of proteins. High-throughput biological techniques are used to identify protein molecules bound with specific ncRNA, but they are usually expensive and time consuming. Deep learning provides a powerful solution to computationally predict RNA-protein interactions. In this work, we propose the RPI-SAN
more » ... el by using the deeplearning stacked auto-encoder network to mine the hidden high-level features from RNA and protein sequences and feed them into a random forest (RF) model to predict ncRNA binding proteins. Stacked assembling is further used to improve the accuracy of the proposed method. Four benchmark datasets, including RPI2241, RPI488, RPI1807, and NPInter v2.0, were employed for the unbiased evaluation of five established prediction tools: RPI-Pred, IPMiner, RPISeq-RF, lncPro, and RPI-SAN. The experimental results show that our RPI-SAN model achieves much better performance than other methods, with accuracies of 90.77%, 89.7%, 96.1%, and 99.33%, respectively. It is anticipated that RPI-SAN can be used as an effective computational tool for future biomedical researches and can accurately predict the potential ncRNA-protein interacted pairs, which provides reliable guidance for biological research.
doi:10.1016/j.omtn.2018.03.001 pmid:29858068 pmcid:PMC5992449 fatcat:lciugtjjzvayvmafd4u5huelne

Single-molecule magnetMn12on graphene

Xiang-Guo Li, James N. Fry, Hai-Ping Cheng
2014 Physical Review B  
We study energetics, electronic and magnetic structures, and magnetic anisotropy barriers of a monolayer of single-molecule magnets (SMM), [Mn 12 O 12 (COOR) 16 ](H 2 O) 4 (abbreviated as Mn 12 , with R=H, CH 3 , C 6 H 5 and CHCl 2 ), on a graphene surface using spin-polarized density-functional theory with generalized gradient corrections and the inclusion of van der Waals interactions. We find that Mn 12 molecules with ligands -H, -CH 3 , and -C 6 H 5 are physically adsorbed on graphene
more » ... h weak van der Waals interactions, and a much stronger ionic interaction occurs using a -CHCl 2 ligand. The strength of bonding is closely related to the charge transfer between the molecule and the graphene sheet and can be manipulated by strain in the graphene; specifically, tension enhances n-doping of graphene and compression encourages p-doping. The magnetic anisotropy barrier is computed by including the spin-orbit interaction within density-functional theory. The barriers for the Mn 12 molecules with ligands -H, -CH 3 and -C 6 H 5 on graphene surfaces remain unchanged (within 1 K) from those of isolated molecules because of their weak interaction, and a much larger reduction (10 K) is observed when using the -CHCl 2 ligand on graphene due to a substantial structural deformation as a consequence of the much stronger interaction. Neither strain in graphene nor charge transfer affects the magnetic anisotropy barrier significantly. Finally, we discuss the effect of strong correlation in the high spin state of a Mn 12 SMM and the consequence in SMM-surface adsorption.
doi:10.1103/physrevb.90.125447 fatcat:mclitiupd5ehzddl6sg2j7xvka

AutoShrink: A Topology-aware NAS for Discovering Efficient Neural Architecture [article]

Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Li, Yiran Chen
2019 arXiv   pre-print
Wired Neural Architectures is proposed recently and attracted a lot of attention (Xie et al. 2019; Wortsman, Farhadi, and Rastegari 2019; Cheng et al. 2019) .  ... 
arXiv:1911.09251v1 fatcat:vs5eqiffvves7mk7inp3ggbmcm

Transcriptome Analysis of Indole-3-Butyric Acid-Induced Adventitious Root Formation in Nodal Cuttings of Camellia sinensis (L.)

Kang Wei, Li-Yuan Wang, Li-Yun Wu, Cheng-Cai Zhang, Hai-Lin Li, Li-Qiang Tan, Hong-Li Cao, Hao Cheng, Wei Wang
2014 PLoS ONE  
Tea (Camellia sinensis L.) is a popular world beverage, and propagation of tea plants chiefly depends on the formation of adventitious roots in cuttings. To better understand potential mechanisms involved in adventitious root formation, we performed transcriptome analysis of single nodal cuttings of C. sinensis treated with or without indole-3-butyric acid (IBA) using the Illumina sequencing method. Totally 42.5 million RNA-Seq reads were obtained and these were assembled into 59,931 unigenes,
more » ... ith an average length of 732 bp and an N50 of 1292 bp. In addition, 1091 differentially expressed unigenes were identified in the tea cuttings treated with IBA compared to controls, including 656 up-and 435 downregulated genes. Further real time RT-PCR analysis confirmed RNA-Seq data. Functional annotation analysis showed that many genes were involved in plant hormone signal transduction, secondary metabolism, cell wall organization and glutathione metabolism, indicating potential contributions to adventitious rooting. Our study presents a global view of transcriptome profiles of tea cuttings in response to IBA treatment and provides new insights into the fundamental mechanisms associated with auxin-induced adventitious rooting. Our data will be a valuable resource for genomic research about adventitious root formation in tea cuttings, which can be used to improve rooting for difficult-to-root varieties.
doi:10.1371/journal.pone.0107201 pmid:25216187 pmcid:PMC4162609 fatcat:evhxobtcuvbgxmr376yg2fa35e
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