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| 1 | Mitochondria-mediated apoptosis in mammals显示文摘调停线粒体的 caspase 激活小径是 mitochondrial 描绘的一条主要 apoptotic 小径外部膜 permeabilization (MOMP ) 和进细胞质到的细胞色素 c 的随后的版本激活 caspases。MOMP 被蛋白质的 Bcl-2 家庭调整。这条小径不仅在正常开发,组织动态平衡的维护和免疫系统的规定,而且在象有免疫力的混乱, neurodegeneration 和癌症那样的人的疾病起重要作用。在过去的十年,这条小径和规章的机制的分子的基础包括地被学习了,然而,很多新证据显示从线粒体的那个细胞色素 c 版本总是不导致激活能也有的不可逆的房间死亡,和那 caspase 非死亡功能。因此,许多未解决的问题和新挑战正在尚待。而且,涉及癌症开发的这条小径的机能障碍是明显的,并且作为治疗学的策略指向小径广泛地被探索了,但是指向的治疗的功效仍然在开发中。在这评论,我们将讨论调停线粒体的 apoptosis 小径和它的生理的角色和治疗学的含意。 | Shunbin Xiong Tianyang Mu Guowen Wang Xuejun Jiang | 2014 | Protein & Cell2014，5，10： | 31 |
| 2 | Fringe pattern analysis using deep learning显示文摘In many optical metrology techniques,fringe pattern analysis is the central algorithm for recovering the underlying phase distribution from the recorded fringe patterns.Despite extensive research efforts for decades,how to extract the desired phase information,with the highest possible accuracy,from the minimum number of fringe patterns remains one of the most challenging open problems.Inspired by recent successes of deep learning techniques for computer vision and other applications,we demonstrate for the first time,to our knowledge,that the deep neural networks can be trained to perform fringe analysis,which substantially enhances the accuracy of phase demodulation from a single fringe pattern.The effectiveness of the proposed method is experimentally verified using carrier fringe patterns under the scenario of fringe projection profilometry.Experimental results demonstrate its superior performance,in terms of high accuracy and edge-preserving,over two representative single-frame techniques:Fourier transform profilometry and windowed Fourier transform profilometry. | Shijie Feng Qian Chen Guohua Gu Tianyang Tao Liang Zhang Yan Hu Wei Yin Chao Zuo | 2019 | Advanced Photonics2019，1，2： | 31 |
| 3 | Hepatitis C virus core protein triggers expansion and activation of CD4+CD25+ regulatory T cells in chronic hepatitis C patients显示文摘 | Naicui Zhai Xiumei Chi Tianyang Li Hongxiao Song Haijun Li Xia Jin Ian Nicholas Crispe Lishan Su Junqi Niu Zhengkun Tu | 2015 | Cellular & Molecular Immunology2015，12，6： | 10 |
| 4 | Early Eocene Radiolarian Fauna from the Sangdanlin, Southern Tibet: Constraints on the Timing of Initial India-Asia Collision显示文摘This is a new report on the early Eocene radiolarian fauna from the Sangdanlin section in the Gyirong region, along the southern margin of the Yarlung Zangbo Suture Zone. The Sangdanlin section measured in this study is divided into three lithostratigraphic units from bottom to top: the Zongzhuo, Sangdanlin, and Zheya formations. Abundant radiolarian fossils were obtained from the Sangdanlin section and 54 species of 30 genera were identified and assigned as follows: Cryptamphorella conara-C. macropora the late Cretaceous Zone and Amphisphaera coronate, Buryella tetradica-Bekoma campechensis, and B.bidartensis-B. divaricata the Paleocene-early Eocene Interval Zones. The Paleocene–early Eocene radiolarian zones are comparable to the radiolarian zones RP4-RP8 in New Zealand. Based on the data of radiolaria and lithofacies, it is suggested that the Zongzhuo Formation should be deposited along the base of the north-facing, continental slope of the Greater Indian continental margin, and the Sangdanlin Formation should be a deep marine, sedimentary sequence located in a foreland basin. The early Eocene radiolarian fauna in the Sangdanlin Formation constrains the initial age of the India-Asia collision to no later than 53.6 Ma. | WANG Tianyang LI Guobiao LI Xinfa NIU Xiaolu | 2017 | Acta Geologica Sinica(English Edition)2017，91，6： | 9 |
| 5 | Direct observation of ultrafast plasmonic hot electron transfer in the strong coupling regime显示文摘Achieving strong coupling between plasmonic oscillators can significantly modulate their intrinsic optical properties.Here,we report the direct observation of ultrafast plasmonic hot electron transfer from an Au grating array to an MoS_(2) monolayer in the strong coupling regime between localized surface plasmons(LSPs)and surface plasmon polaritons(SPPs).By means of femtosecond pump-probe spectroscopy,the measured hot electron transfer time is approximately 40 fs with a maximum external quantum yield of 1.65%.Our results suggest that strong coupling between LSPs and SPPs has synergetic effects on the generation of plasmonic hot carriers,where SPPs with a unique nonradiative feature can act as an‘energy recycle bin’to reuse the radiative energy of LSPs and contribute to hot carrier generation.Coherent energy exchange between plasmonic modes in the strong coupling regime can further enhance the vertical electric field and promote the transfer of hot electrons between the Au grating and the MoS_(2) monolayer.Our proposed plasmonic strong coupling configuration overcomes the challenge associated with utilizing hot carriers and is instructive in terms of improving the performance of plasmonic opto-electronic devices. | Hangyong Shan Ying Yu Xingli Wang Yang Luo Shuai Zu Bowen Du Tianyang Han Bowen Li Yu Li Jiarui Wu Feng Lin Kebin Shi Beng Kang Tay Zheng Liu Xing Zhu Zheyu Fang | 2019 | Light(Science & Applications)2019，8，1： | 7 |
| 6 | FGF1^(△HBS) prevents diabetic cardiomyopathy by maintaining mitochondrial homeostasis and reducing oxidative stress via AMPK/Nur77 suppression显示文摘As a classically known mitogen,fibroblast growth factor 1(FGF1)has been found to exert other pleiotropic functions such as metabolic regulation and myocardial protection.Here,we show that serum levels of FGF1 were decreased and positively correlated with fraction shortening in diabetic cardiomyopathy(DCM)patients,indicating that FGF1 is a potential therapeutic target for DCM.We found that treatment with a FGF1 variant(FGF1^(△HBS))with reduced proliferative potency prevented diabetes-induced cardiac injury and remodeling and restored cardiac function.RNA-Seq results obtained from the cardiac tissues of db/db mice showed significant increase in the expression levels of anti-oxidative genes and decrease of Nur77 by FGF1AHBS treatment.Both in vivo and in vitro studies indicate that FGF1^(△HBS) exerted these beneficial effects by markedly reducing mitochondrial fragmentation,reactive oxygen species(ROS)generation and cytochrome c leakage and enhancing mitochondrial respiration rate and β-oxidation in a 5;AMP-activated protein kinase(AMPK)/Nur77-dependent manner,all of which were not observed in the AMPK null mice.The favorable metabolic activity and reduced proliferative properties of FGF1^(△HBS) testify to its promising potential for use in the treatment of DCM and other metabolic disorders. | Dezhong Wang Yuan Yin Shuyi Wang Tianyang Zhao Fanghua Gong Yushuo Zhao Beibei Wang Yuli Huang Zizhao Cheng Guanghui Zhu Zengshou Wang Yang Wang Jun Ren Guang Liang Xiaokun Li Zhifeng Huang | 2021 | Signal Transduction and Targeted Therapy2021，6，4： | 6 |
| 7 | Adaptive TQWT filter based feature extraction method and its application to detection of repetitive transients显示文摘The local defect in rotating machine always gives rise to repetitive transients in the collected vibration signal. However, the transient signature is prone to be contaminated by strong background noises, thus it is a challenging task to detect the weak transients for machine fault diagnosis. In this paper, a novel adaptive tunable Q-factor wavelet transform(TQWT) filter based feature extraction method is proposed to detect repetitive transients. The emerging TQWT possesses distinct advantages over the classical constant-Q wavelet transforms, whose Q-factor can be tuned to match the oscillatory behavior of different signals, but the parameter selection for TQWT heavily relies on prior knowledge. Within our adaptive TQWT filter algorithm, the automatic optimization techniques for three TQWT parameters are implemented to achieve an optimal TQWT basis that matches the transient components. Specifically, the decomposition level is selected according to a center frequency ratio based stopping criterion, and the Q-factor and redundancy are optimized based on the minimum energy-weighted normalized wavelet entropy.Then, the adaptive TQWT decomposition can be achieved in a sparse way and result in subband signals at various wavelet scales.Further, the optimum subband signal which carries transient feature information, is identified using a normalized energy to bandwidth ratio index. Finally, the single branch reconstruction signal from the optimum subband is obtained with transient signatures via inverse TQWT, and the frequency of repetitive transients is detected using Hilbert envelope demodulation. It has been verified via numerical simulation that the proposed adaptive TQWT filter based feature extraction method can adaptively select TQWT parameters and the optimum subband for repetitive transient detection without prior knowledge. The proposed method is also applied to faulty bearing vibration signals and its effectiveness is validated. | KONG Yun WANG TianYang CHU FuLei | 2018 | Science China(Technological Sciences)2018，61，10： | 5 |
| 8 | Deep Spatiotemporal Convolutional-Neural-Network-Based Remaining Useful Life Estimation of Bearings显示文摘The remaining useful life(RUL)estimation of bearings is critical for ensuring the reliability of mechanical systems.Owing to the rapid development of deep learning methods,a multitude of data-driven RUL estimation approaches have been proposed recently.However,the following problems remain in existing methods:1)Most network models use raw data or statistical features as input,which renders it difficult to extract complex fault-related information hidden in signals;2)for current observations,the dependence between current states is emphasized,but their complex dependence on previous states is often disregarded;3)the output of neural networks is directly used as the estimated RUL in most studies,resulting in extremely volatile prediction results that lack robustness.Hence,a novel prognostics approach is proposed based on a time-frequency representation(TFR)subsequence,three-dimensional convolutional neural network(3DCNN),and Gaussian process regression(GPR).The approach primarily comprises two aspects:construction of a health indicator(HI)using the TFR-subsequence-3DCNN model,and RUL estimation based on the GPR model.The raw signals of the bearings are converted into TFR-subsequences by continuous wavelet transform and a dislocated overlapping strategy.Subsequently,the 3DCNN is applied to extract the hidden spatiotemporal features from the TFR-subsequences and construct HIs.Finally,the RUL of the bearings is estimated using the GPR model,which can also define the probability distribution of the potential function and prediction confidence.Experiments on the PRONOSTIA platform demonstrate the superiority of the proposed TFR-subsequence-3DCNN-GPR approach.The use of degradation-related spatiotemporal features in signals is proposed herein to achieve a highly accurate bearing RUL prediction with uncertainty quantification. | Xu Wang Tianyang Wang Anbo Ming Qinkai Han Fulei Chu Wei Zhang Aihua Li | 2021 | Chinese Journal of Mechanical Engineering2021，34，3： | 5 |
| 9 | Label-free fiber nanograting sensor for real-time in situ early monitoring of cellular apoptosis显示文摘The achievement of functional nanomodules for subcellular label-free measurement has long been pursued in order to fully understand cellular functions.Here,a compact label-free nanosensor based on a fiber taper and zinc oxide nanogratings is designed and applied for the early monitoring of apoptosis in individual living cells.Because of its nanoscale dimensions,mechanical flexibility,and minimal cytotoxicity to cells,the sensing module can be loaded in cells for long term in situ tracking with high sensitivity.A gradual increase in the nuclear refractive index during the apoptosis process is observed,revealing the increase in molecular density and the decrease in cell volume.The strategy used in our study not only contributes to the understanding of internal environmental variations during cellular apoptosis but also provides a new platform for nonfluorescent fiber devices for investigation of cellular events and understanding fundamental cell biochemical engineering. | Danran Li Nina Wang Tianyang Zhang Guangxing Wu Yifeng Xiong Qianqian Du Yunfei Tian Weiwei Zhao Jiandong Ye Shulin Gu Yanqing Lu Dechen Jiang Fei Xu | 2022 | Advanced Photonics2022，4，1： | 5 |
| 10 | Ionization behavior and dynamics of picosecond laser filamentation in sapphire显示文摘Currently,laser-induced structural modifications in optical materials have been an active field of research.In this paper,we reported structural modifications in the bulk of sapphire due to picosecond(ps)laser filamentation and analyzed the ionization dynamics of the filamentation.Numerical simulations uncovered that the high-intensity ps laser pulses generate plasma through multi-photon and avalanche ionizations that leads to the creation of two distinct types of structural changes in the material.The experimental bulk modifications consist of a void like structures surrounded by cracks which are followed by a submicrometer filamentary track.By increasing laser energy,the length of the damage and filamentary track appeared to increase.In addition,the transverse diameter of the damage zone increased due to the electron plasma produced by avalanche ionizations,but no increase in the filamentary zone diameter was observed with increasing laser energy. | Amina Lingfei Ji Tianyang Yan Rui Ma | 2019 | Opto-Electronic Advances2019，2，8： | 4 |
| 11 | Design and Implementation of An Active Multibeam Antenna System with 64 RF Channels and 256 Antenna Elements for Massive MIMO Application in 5G Wireless Communications显示文摘This paper focuses on the design and implementation of an active multibeam antenna system for massive MIMO applications in 5G wireless communications.The highly integrated active multibeam antenna system is designed and implemented at 5.8 GHz with 64 RF Channels and 256 antenna elements.The 64-channel highly integrated active multibeam antenna system provides a verification platform for digital beamforming algorithm and massive MIMO channel estimation for next generation wireless communications. | PANG Xingdong HONG Wei YANG Tianyang LI Linsheng | 2014 | China Communications2014，11，11： | 4 |
| 12 | Centralized Bi-level Spatial-Temporal Coordination Charging Strategy for Area Electric Vehicles显示文摘Increased penetration of electric vehicles(EVs)is expected to impact power system performance in adverse ways,e.g.,overloading,uncertain power quality,and increased voltage fluctuation,particularly at the distribution level.Most EV charging control strategies that have been proposed only benefit the grid or EV users.A centralized EV charging strategy based on bilevel optimization is proposed in this paper with the objectives of deriving benefits for the grid and EV users simultaneously.The proposed strategy involves distributing the EV charging load more beneficially across both spatial and temporal levels.In the spatial problem,the whole fleet of EVs is controlled to minimize load variance as spatial coordination,with total charging rate and energy needed as the constraint.While in the temporal problem,EVs in each aggregator are controlled to minimize the charging cost or maximize the EV user’s degree of satisfaction with each aggregator’s charging rate and energy needed as the constraint.The proposed bi-level charging strategy is transformed to a single-stage optimization problem and solved using the classical optimization method.The impacts of uncontrolled charging on the grid and EV users are studied using the Monte Carlo Simulation(MCS)method.Then,the effectiveness of the proposed charging strategy is demonstrated via results obtained in the MCS. | Lei Yu Tianyang Zhao Qifang Chen Jianhua Zhang | 2015 | CSEE Journal of Power and Energy Systems2015，1，4： | 4 |
| 13 | Fault feature extraction of planet gear in wind turbine gearbox based on spectral kurtosis and time wavelet energy spectrum显示文摘 | Yun KONG Tianyang WANG Zheng LI Fulei CHU | 2017 | Frontiers of Mechanical Engineering2017，12，3： | 3 |
| 14 | Multi-objective Chance-constrained Optimal Day-ahead Scheduling Considering BESS Degradation显示文摘As battery technology matures,the battery energy storage system(BESS)becomes a promising candidate for addressing renewable energy uncertainties.BESS degradation is one of key factors in BESS operations,which is usually considered in the planning stage.However,BESS degradations are directly affected by the depth of discharge(DoD),which is closely related to the BESS daily schedule.Specifically,the BESS life losses may be different when providing the same amount of energy under a distinct DoD.Therefore,it is necessary to develop a model to consider the effect of daily discharge on BESS degradation.In this paper,a model quantifying the nonlinear impact of DoD on BESS life loss is proposed.By adopting the chance-constrained goal programming,the degradation in day-ahead unit commitment is formulated as a multi-objective optimization problem.To facilitate an efficient solution,the model is converted into a mixed integer linear programming problem.The effectiveness of the proposed method is verified in a modified IEEE 39-bus system. | Yan Xu Tianyang Zhao Shuqiang Zhao Jianhua Zhang Yang Wang | 2018 | CSEE Journal of Power and Energy Systems2018，4，3： | 3 |
| 15 | Factors influencing pore-pressure prediction in complex carbonates based on effective medium theory显示文摘A calculation model based on effective medium theory has been developed for predicting elastic properties of dry carbonates with complex pore structures by integrating the Kuster-Toksǒz model with a differential method.All types of pores are simultaneously introduced to the composite during the differential iteration process according to the ratio of their volume fractions.Based on this model,the effects of pore structures on predicted pore-pressure in carbonates were analyzed.Calculation results indicate that cracks with low pore aspect ratios lead to pore-pressure overestimation which results in lost circulation and reservoir damage.However,moldic pores and vugs with high pore aspect ratios lead to pore-pressure underestimation which results in well kick and even blowout.The pore-pressure deviation due to cracks and moldic pores increases with an increase in porosity.For carbonates with complex pore structures,adopting conventional pore-pressure prediction methods and casing program designs will expose the well drilling engineering to high uncertainties.Velocity prediction models considering the influence of pore structure need to be built to improve the reliability and accuracy of pore-pressure prediction in carbonates. | Wang Ruihe Wang Zizhen Shan Xun Qiu Hao Li Tianyang | 2013 | Petroleum Science2013，10，4： | 3 |
| 16 | Quality assessment of Chrysanthemum indicum Flower by simultaneous quantification of six major ingredients using a single reference standard combined with HPLC fingerprint analysis显示文摘Chrysanthemum indicum Flower is usually consumed as functional food. This paper described an improved total quality assessment method for Chrysanthemum indicum Flower by simultaneous quantitation using a single standard to determine multi-components method combined with high performance liquid chromatography fingerprint analysis. Six main components of Chrysanthemum indicum Flower including two flavonoids and four phenolic acids were simultaneously quantified using linarin as the internal reference standard. The method was fully validated with respect to linearity, precision, accuracy, robustness and stability.The validated method was successfully applied to the analysis of thirty three batches of Chrysanthemum indicum Flower samples. Under the same chromatographic conditions, fingerprint analysis in combination with Similarity analysis and principal component analysis was performed to identify the samples from different regions. In general, an effective assessment using a single standard to determinate multi-components method combined with fingerprint analysis make the reliable qualitation and quantitation analysis of Chrysanthemum indicum Flower available. | Jiao He Xiaoxue Wu Yali Kuang Tianyang Wang Kaishun Bi Qing Li | 2016 | Asian Journal of Pharmaceutical Sciences2016，11，2： | 3 |
| 17 | Plasmonic tip internally excited via an azimuthal vector beam for surface enhanced Raman spectroscopy显示文摘The synergy of a plasmonic tip and fiber-based structure light field excitation can provide a powerful tool for Raman examination. Here, we present a method of Raman spectrum enhancement with an Ag-nanoparticles(Ag-NPs)-coated fiber probe internally excited via an azimuthal vector beam(AVB), which is directly generated in a few-mode fiber by using an acoustically induced fiber grating. Theoretical analysis shows that gap mode can be effectively generated on the surface of the Ag-NPs-coated fiber probe excited via an AVB. The experimental result shows that the intensity of Raman signal obtained with analyte molecules of malachite green by exciting the Ag-NPs-coated fiber probe via an AVB is approximately eight times as strong as that via the linear polarization beam(LPB), and the activity of the AVB-excited fiber probe can reach 10^-11 mol∕L, which cannot be achieved by LPB excitation.Moreover, the time stability and reliability are also examined, respectively. | Min Liu Wending Zhang Fan fan Lu Tianyang Xue Xin Li Lu Zhang Dong Mao Ligang Huang Feng Gao Ting Mei Jianlin Zhao | 2019 | Photonics Research2019，7，5： | 3 |
| 18 | Application of Neural Network in Fault Location of Optical Transport Network显示文摘Due to the increasing variety of information and services carried by optical networks, the survivability of network becomes an important problem in current research. The fault location of OTN is of great significance for studying the survivability of optical networks. Firstly, a three-channel network model is established and analyzing common alarm data, the fault monitoring points and common fault points are carried out. The artificial neural network is introduced into the fault location field of OTN and it is used to judge whether the possible fault point exists or not. But one of the obvious limitations of general neural networks is that they receive a fixedsize vector as input and produce a fixed-size vector as the output. Not only that, these models is even fixed for mapping operations (for example, the number of layers in the model). The difference between the recurrent neural network and general neural networks is that it can operate on the sequence. In spite of the fact that the gradient disappears and the gradient explodes still exist in the neural network, the method of gradient shearing or weight regularization is adopted to solve this problem, and choose the LSTM (long-short term memory networks) to locate the fault. The output uses the concept of membership degree of fuzzy theory to express the possible fault point with the probability from 0 to 1. Priority is given to the treatment of fault points with high probability. The concept of F-Measure is also introduced, and the positioning effect is measured by using location time, MSE and F-Measure. The experiment shows that both LSTM and BP neural network can locate the fault of optical transport network well, but the overall effect of LSTM is better. The localization time of LSTM is shorter than that of BP neural network, and the F1-score of LSTM can reach 0.961566888396156 after 45 iterations, which meets the accuracy and real-time requirements of fault location. Therefore, it has good application prospect and practical value to introduce neural network into the fault location field of optical transport network. | Tianyang Liu Haoyuan Mei Qiang Sun Huachun Zhou | 2019 | China Communications2019，16，10： | 3 |
| 19 | Azimuthal vector beam exciting silver triangular nanoprisms for increasing the performance of surface-enhanced Raman spectroscopy显示文摘Surface-enhanced Raman spectroscopy(SERS)with high-sensitivity performance is a very necessary detection technology.Here,we present a method for increasing the performance of SERS based on silver triangular nanoprism arrays(ATNAs)vertically excited via a focused azimuthal vector beam(AVB).The ATNA substrates with different structural parameters are prepared based on the traditional self-assembled and modified film lift-off technique.Based on a theoretical model established adopting the structural parameters of the ATNA substrates,theoretical simulation results show that AVB excitation can achieve greater electric-field enhancement than linearly polarized beam(LPB)excitation.Experimental result indicates that SERS sensitivity obtained via AVB excitation is 10^-13M(1 M=1 mol/L)using rhodamine 6 G(R6 G)as the target analyte,which is 2 orders of magnitude lower than that of LPB excitation(10^-11M).Meanwhile,the uniformity and reproducibility of the ATNA substrates are examined using Raman mapping and batch-to-batch measurement,respectively,and the Raman enhancement factor is calculated to be^3.3×10^7.This method of vector light field excitation may be used to improve the SERS performance of the substrates in fields of ultra-sensitive Raman detection. | LU ZHANG WENDING ZHANG FANFAN LU ZHIQIANG YANG TIANYANG XUE MIN LIU CHAO MENG PENG LI DONG MAO TING MEI JIANLIN ZHAO | 2019 | Photonics Research2019，7，12： | 3 |
| 20 | Vertically-aligned nanostructures for electrochemical energy storage显示文摘Energy storage devices with high energy and power densities are highly attractive for various applications ranging from portable electronics to electric vehicles and grid-level energy storage,such as rechargeable batteries and supercapacitors.One limiting factor in power density is.the ion transport in electrolyte,particularly in tortuous electrode materials with low porosity.A viable approach to enhance ion transport in electrolyte is to create vertically aligned structures and thus reduce electrode tortuosity.In the past decades,various methods have been explored to develop vertically aligned structures.This review summarizes battery kinetics to illustrate the importance of low tortuosity in electrodes,and then introduces various methods to create vertically aligned nanostructures,such as direct growth,templating and microfabrications.The electrochemical performance of electrodes or electrolytes created by each method is presented.At the end,this paper discusses challenges with these structures and the directions these technologies can be taken in the future. | Xue Wang Tianyang Wang James Borovilas Xiaodong He Shanyi Du Yuan Yang | 2019 | Nano Research2019，12，9： | 3 |
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