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| 1 | Spinal Cord Stimulation for Pain Treatment After Spinal Cord Injury显示文摘In addition to restoration of bladder, bowel, and motor functions, alleviating the accompanying debilitating pain is equally important for improving the quality of life of patients with spinal cord injury(SCI). Currently,however, the treatment of chronic pain after SCI remains a largely unmet need. Electrical spinal cord stimulation(SCS) has been used to manage a variety of chronic pain conditions that are refractory to pharmacotherapy. Yet, its efficacy, benefit profiles, and mechanisms of action in SCI pain remain elusive, due to limited research, methodological weaknesses in previous clinical studies, and a lack of mechanistic exploration of SCS for SCI pain control. We aim to review recent studies and outline the therapeutic potential of different SCS paradigms for traumatic SCI pain. We begin with an overview of its manifestations,classification, potential underlying etiology, and currentchallenges for its treatment. The clinical evidence for using SCS in SCI pain is then reviewed. Finally, future perspectives of pre-clinical research and clinical study of SCS for SCI pain treatment are discussed. | Qian Huang Wanru Duan Eellan Sivanesan Shuguang Liu Fei Yang Zhiyong Chen Neil C.Ford Xueming Chen Yun Guan | 2019 | Neuroscience Bulletin2019，35，3： | 13 |
| 2 | Multicomponent Nanoparticles Synergistic One-Dimensional Nanofibers as Heterostructure Absorbers for Tunable and Efficient Microwave Absorption显示文摘Application of novel radio technologies and equip-ment inevitably leads to electromagnetic pollution.One-dimensional polymer-based composite membrane structures have been shown to be an effective strategy to obtain high-performance microwave absorbers.Herein,we reported a one-dimensional N-doped carbon nanofibers material which encapsulated the hollow Co_(3)SnC_(0.7) nano-cubes in the fiber lumen by electrospinning.Space charge stacking formed between nanoparticles can be channeled by longitudinal fibrous structures.The dielectric constant of the fibers is highly related to the carbonization temperature,and the great impedance matching can be achieved by synergetic effect between Co_(3)SnC_(0.7) and carbon network.At 800℃,the necklace-like Co_(3)SnC_(0.7)/CNF with 5%low load achieves an excellent RL value of−51.2 dB at 2.3 mm and the effective absorption bandwidth of 7.44 GHz with matching thickness of 2.5 mm.The multiple electromagnetic wave(EMW)reflections and interfacial polarization between the fibers and the fibers internal contribute a major effect to attenuating the EMW.These strategies for regulating electromagnetic performance can be expanded to other electromagnetic functional materials which facilitate the development of emerging absorbers. | Chenxi Wang Yue Liu Zirui Jia Wanru Zhao Guanglei Wu | 2023 | Nano-Micro Letters2023，15，1： | 3 |
| 3 | Triggering in-plane defect cluster on MoS_(2) for accelerated dinitrogen electroreduction to ammonia显示文摘Electrochemical nitrogen reduction reaction (eNRR) is an alternative promising manner for sustainable N2 fixation with low-emission. The major challenge for developing an efficient electrocatalyst is the cleaving of the stable Ntriple bondN triple bonds. Herein, we design a new MoS_(2) with in-plane defect cluster through a bottom-up approach for the first time, where the defect cluster is composed of three adjacent S vacancies. The well-defined in-plane defect clusters could contribute to the strong chemical adsorption and activation towards inert nitrogen, achieving an excellent eNRR performance with an ammonia yield rate of 43.4 ± 3 μg h^(−1) mgcat.^(−1) and a Faradaic efficiency of 16.8 ± 2% at −0.3 V (vs. RHE). The performance is much higher than that of MoS_(2) with the edge defect. Isotopic labeling confirms that N atoms of produced NH4+ originate from N2. Furthermore, the in-plane defect clusters realized the alternate hydrogenation of nitrogen in a side-on way to synthesize ammonia. This work provides a prospecting strategy for fine-tuning in-plane defects in a catalyst, and also promotes the progress of eNRR. | Wanru Liao Ke Xie Lijuan Liu Xiuyun Wang Yu Luo Shijing Liang Fujian Liu Lilong Jiang | 2021 | Journal of Energy Chemistry2021，30，11： | 3 |
| 4 | Coordinated transcription of ANRIL and P16 genes is silenced by P16 DNA methylation显示文摘Objective: To investigate the relationship between the transcription of ANRIL, P15, P14 and P16 at the same locus and the regulation mechanism of ANRIL.Methods: Publicly available database of Cancer Cell Line Encyclopedia(CCLE) was used in bioinformatic analyses. Methylation of Cp G islands was detected by denaturing high performance liquid chromatography(DHPLC). Gene transcript levels were determined using quantitative real-time polymerase chain reaction(q RTPCR) assays. An engineered P16-specific transcription factor and DNA methyltransferase were used to induce P16-specific DNA demethylation and methylation.Results: The expression level of ANRIL was positively and significantly correlated with that of P16 but not with that of P15 in the CCLE database. This was confirmed in human cell lines and patient colon tissue samples. In addition, ANRIL was significantly upregulated in colon cancer tissues. Transcription of ANRIL and P16 was observed only in cell lines in which the P16 alleles were unmethylated and not in cell lines with fully methylated P16 alleles.Notably, P16-specific methylation significantly decreased transcription of P16 and ANRIL in BGC823 and GES1 cells. In contrast, P16-specific demethylation re-activated transcription of ANRIL and P16 in H1299 cells(P<0.001).Alteration of ANRIL expression was not induced by P16 expression changes.Conclusions: ANRIL and P16 are coordinately transcribed in human cells and regulated by the methylation status of the P16 Cp G islands around the transcription start site. | Ying Gan Wanru Ma Xiuhong Wang Juanli Qiao Baozhen Zhang Chenghua Cui Zhaojun Liu Dajun Deng | 2018 | Chinese Journal of Cancer Research2018，30，1： | 2 |
| 5 | Deformation mechanism of fine grained Mg-7Gd-5Y-l.2Nd-0.5Zr alloy under high temperature and high strain rates显示文摘Fine grained Mg-7Gd-5Y-1.2Nd-0.5Zr alloy was investigated by dynamic compression tests using a Split Hopkinson Pressure Bar under the strain rates in the range 1000-2000 s^(-1) and the temperature range 293-573 K along the normal direction.The microstructure was measured by optical microscopy,electron back-scattering diffraction,transmission electron microscopy and X-ray diffractometry.The results showed that Mg-7Gd-5Y-1.2Nd-0.5Zr alloy had the positive strain rate strengthening effect and thermal softening effect at high temperature.The solid solution of Gd and Y atoms in Mg-7Gd-5Y-1.2Nd-0.5Zr alloy reduced the asymmetry of α-Mg crystals and changed the critical shear stress of various deformation mechanisms.The main deformation mechanisms were prismatic slip and pyramidal(a)slip,{102}tension twinning,and dynamic recrystallization caused by local deformation such as particle-stimulated nucleation.c 2020 Published by Elsevier B.V.on behalf of Chongqing University. | Wanru Tang Zheng Liu Shimeng Liu Le Zhou Pingli Mao Hui Guo Xiaofang Sheng | 2020 | Journal of Magnesium and Alloys2020，8，4： | 2 |
| 6 | Quantifying the effects of nitrogen on fruit growth and yield of cucumber crop in greenhouses显示文摘 | Jianfeng Dai Shanshan Liu Wanru Zhang Rui Xu Weihong Luo Shengfei Zhang Xinyou Yin Li Han Weiping Chen | 2011 | Scientia Horticulturae2011，，3： | 1 |
| 7 | High-Entropy Perovskite Oxide: A New Opportunity for Developing Highly Active and Durable Air Electrode for Reversible Protonic Ceramic Electrochemical Cells显示文摘Reversible proton ceramic electrochemical cell(R-PCEC)is regarded as the most promising energy conversion device,which can realize efficient mutual conversion of electrical and chemical energy and to solve the problem of large-scale energy storage.However,the development of robust electrodes with high catalytic activity is the main bottleneck for the commercialization of R-PCECs.Here,a novel type of high-entropy perovskite oxide consisting of six equimolar metals in the A-site,Pr_(1/6)La_(1/6)Nd_(1/6)Ba_(1/6)Sr_(1/6)Ca_(1/6)CoO_(3−δ)(PLN-BSCC),is reported as a high-performance bifunctional air electrode for R-PCEC.By harnessing the unique functionalities of multiple ele-ments,high-entropy perovskite oxide can be anticipated to accelerate reaction rates in both fuel cell and electrolysis modes.Especially,an R-PCEC utilizing the PLNBSCC air electrode achieves exceptional electrochemical performances,demonstrating a peak power density of 1.21 W cm^(−2)for the fuel cell,while simultaneously obtaining an astonishing current density of−1.95 A cm^(−2)at an electrolysis voltage of 1.3 V and a temperature of 600℃.The significantly enhanced electrochemical performance and durability of the PLNBSCC air electrode is attributed mainly to the high electrons/ions conductivity,fast hydration reactivity and high configurational entropy.This research explores to a new avenue to develop optimally active and stable air electrodes for R-PCECs. | Zuoqing Liu Zhengjie Tang Yufei Song Guangming Yang Wanru Qian Meiting Yang Yinlong Zhu Ran Ran Wei Wang Wei Zhou Zongping Shao | 2022 | Nano-Micro Letters2022，14，12： | 1 |
| 8 | Coupled Time-Domain Investigation on a Vertical Axis Wind Turbine Supported on a Floating Platform显示文摘The dynamic responses of a floating vertical axis wind turbine(VAWT)are assessed on the basis of an aero-hydro-mooring coupled model.The aerodynamic loads on the rotor are acquired with double-multiple stream tube method.First-and second-order wave loads are calculated on the basis of 3D potential theory.The mooring loads are simulated by catenary theory.The coupled model is established,and a numerical code is programmed to investigate the dynamic response of the semi-submersible VAWT.A model test is then conducted,and the numerical code is validated considering the hydrodynamic performance of the floating buoy.The responses of the floating VAWT are studied through the numerical simulation under the sea states of wind and regular/irregular waves.The effects of the second-order wave force on the motions are also investigated.Results show that the slow-drift responses in surge and pitch motions are significantly excited by the second-order wave forces.Furthermore,the effect of foundation motion on aerodynamic loads is examined.The normal and tangential forces of the blades demonstrate a slight increase due to the coupling effect between the buoy motion and the aerodynamic loads. | CUI Jianhui ZHAI Yongjian GUO Ying DENG Wanru LIU Liqin | 2023 | Journal of Ocean University of China2023，22，2： | 1 |
| 9 | Design and implementation of unmanned aerial vehicle localization and light tracking system显示文摘Unmanned aerial vehicles(UAV)are applied widely and profoundly in various fields.Moreover,high-precision positioning and tracking in multiple scenarios are the core requirements for UAV usage.To ensure stable communication of UAVs in denial environments with substantial electromagnetic interference,a systematic solution is proposed based on a deep learning algorithm for target detection and visible light for UAV tracking.Considering the cost and computational power limitations on the hardware,the you only look once(YOLO)v4-Tiny model is used for static target detection of the UAV model.For UAV tracking,and a light tracker that can adjust the angle of emitted light and focus it on the target is used for dynamic tracking processing.Thus,achieving the primary conditions of UAV optical communication with good secrecy is also suitable for dynamic situations.The UAV tracker positions the UAV model by returning the coordinates and calculating the time delay,and then controls the spotlight to target the UAV.In order to facilitate the deployment of deep learning models on hardware devices,the lighter and more efficient model is selected after comparison.The trained model can achieve 99.25%accuracy on the test set.The dynamic target detection can reach 20 frames per second(FPS)on a computer with an MX520 graphics processing unit(GPU)and 6 GB of random access memory(RAM).Dynamic target detection on a Jetson Nano can reach 5.4 FPS. | Xu Ming Dong Chen Li Hanlu Luo Qiming Wang Lizi Zhang Wanru Liu Huixin | 2023 | The Journal of China Universities of Posts and Telecommunications2023，30，4： | 0 |
| 10 | Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network for Visible-Infrared Person Re-Identification显示文摘Visible-infrared Cross-modality Person Re-identification(VI-ReID)is a critical technology in smart public facilities such as cities,campuses and libraries.It aims to match pedestrians in visible light and infrared images for video surveillance,which poses a challenge in exploring cross-modal shared information accurately and efficiently.Therefore,multi-granularity feature learning methods have been applied in VI-ReID to extract potential multi-granularity semantic information related to pedestrian body structure attributes.However,existing research mainly uses traditional dual-stream fusion networks and overlooks the core of cross-modal learning networks,the fusion module.This paper introduces a novel network called the Augmented Deep Multi-Granularity Pose-Aware Feature Fusion Network(ADMPFF-Net),incorporating the Multi-Granularity Pose-Aware Feature Fusion(MPFF)module to generate discriminative representations.MPFF efficiently explores and learns global and local features with multi-level semantic information by inserting disentangling and duplicating blocks into the fusion module of the backbone network.ADMPFF-Net also provides a new perspective for designing multi-granularity learning networks.By incorporating the multi-granularity feature disentanglement(mGFD)and posture information segmentation(pIS)strategies,it extracts more representative features concerning body structure information.The Local Information Enhancement(LIE)module augments high-performance features in VI-ReID,and the multi-granularity joint loss supervises model training for objective feature learning.Experimental results on two public datasets show that ADMPFF-Net efficiently constructs pedestrian feature representations and enhances the accuracy of VI-ReID. | Zheng Shi Wanru Song Junhao Shan Feng Liu | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 11 | An Automated Detection Approach of Protective Equipment Donning for Medical Staff under COVID-19 Using Deep Learning显示文摘Personal protective equipment(PPE)donning detection for medical staff is a key link of medical operation safety guarantee and is of great significance to combat COVID-19.However,the lack of dedicated datasets makes the scarce research on intelligence monitoring of workers’PPE use in the field of healthcare.In this paper,we construct a dress codes dataset for medical staff under the epidemic.And based on this,we propose a PPE donning automatic detection approach using deep learning.With the participation of health care personnel,we organize 6 volunteers dressed in different combinations of PPE to simulate more dress situations in the preset structured environment,and an effective and robust dataset is constructed with a total of 5233 preprocessed images.Starting from the task’s dual requirements for speed and accuracy,we use the YOLOv4 convolutional neural network as our learning model to judge whether the donning of different PPE classes corresponds to the body parts of the medical staff meets the dress codes to ensure their self-protection safety.Experimental results show that compared with three typical deeplearning-based detection models,our method achieves a relatively optimal balance while ensuring high detection accuracy(84.14%),with faster processing time(42.02 ms)after the average analysis of 17 classes of PPE donning situation.Overall,this research focuses on the automatic detection of worker safety protection for the first time in healthcare,which will help to improve its technical level of risk management and the ability to respond to potentially hazardous events. | Qiang Zhang Ziyu Pei Rong Guo Haojun Zhang Wanru Kong Jie Lu Xueyan Liu | 2022 | Computer Modeling in Engineering & Sciences2022，，9： | 0 |
| 12 | Real-time comprehensive driving ability evaluation algorithm for intelligent assisted driving显示文摘To meet the needs of the human-machine co-driving decision problem in the intelligent assisted driving system for real-time comprehensive driving ability evaluation of drivers,this paper proposes a real-time comprehensive driving ability evaluation method that integrates driving skill,driving state,and driving style.Firstly,by analyzing the driving experiment data obtained based on the intelligent driving simulation platform(the experiment can effectively distinguish the driver's driving skills and avoid the interference of driving style),the feature values that significantly represent driving skills and driving state are selected,and the time correlation between driving state and driving skills is pointed out.Furthermore,the concept of relativity in comprehensive driving ability evaluation is further proposed.Under this concept,the natural driving trajectory dataset-HighD is used to establish the distribution map of feature values of the human driver group as the evaluation benchmark to realize the relative evaluation of driving skill and driving state.Similarly,HighD is used to establish a distribution map of human driver style feature values as an evaluation benchmark to achieve relative driving style evaluation.Finally,a comprehensive driving ability evaluation model with a“punishment”and“affirmation”mechanism is proposed.The experimental comparative analysis shows that the evaluation algorithm proposed in this paper can take into account the driver's driving skill,driving state,and driving style in the real-time comprehensive driving ability evaluation,and draw differential evaluation conclusions based on the“punishment”and“affirmation”mechanism model to achieve a comprehensive and objective evaluation of the driver's driving ability.It can meet the needs of human-machine shared driving decisions for driver's driving ability evaluation. | Fang Liu Feng Xue Wanru Wang Weixing Su Yang Liu | 2023 | Green Energy and Intelligent Transportation2023，2，2： | 0 |
| 13 | A reference-grade genome assembly for Gossypium bickii and insights into its genome evolution and formation of pigment glands and gossypol显示文摘The pigment gland is a morphological characteristic of Gossypium and its related genera.Gossypium bickii(G_(1))is characterized by delayed pigment gland morphogenesis in the cotyledons.In this study,a referencegrade genome of G_(1) was generated,and comparative genomics analysis showed that G_(1) was closest to Gossypium australe(G_(2)),followed by A-and D-genome species.Two large fragment translocations in chromosomes 5 and 13 were detected between the G genome and other Gossypiumgenomes and were unique to the G_(1) and G_(2) genomes.Compared with the G_(2) genome,two large fragment inversions in chromosomes 12 and 13 were detected in G_(1).According to the phylogeny,divergence time,and similarity analysis of nuclear andchloroplast genomes,G_(1)was formedby hybridization between Gossypium sturtianum(C_(1))and a common ancestor of G_(2) and Gossypiumnelsonii(G_(3)).The coordinated expression patterns of pigment gland formation(GoPGF)and gossypol biosynthesis genes in G_(1) were verified to be consistent with its phenotype,and nine genes thatwere related to theprocessof pigmentgland formationwere identified.Anovel gene,GbiCYP76B6,regulated by GoPGF,was found to affect gossypol biosynthesis.These findings offer insights into the origin and evolution of G_(1) and its mechanism of pigment gland formation and gossypol biosynthesis. | Kuang Sheng Yue Sun Meng Liu Yuefen Cao Yifei Han Cheng Li Uzair Muhammad Muhammad Khan Daud Wanru Wang Huazu Li Samrana Samrana Yixuan Hui Shuijin Zhu Jinhong Chen Tianlun Zhao | 2023 | Plant Communications2023，4，1： | 0 |
| 14 | Anti-obesity effects of angiotensin converting enzyme inhibitor are mediated by brown adipose tissue activation显示文摘Obesity is characterized with the disorder of energy metabolismwhich often causes various complications such as insulin resis-tance and type 2 diabetes. A recent estimate performed by WorldHealth Organization (WHO) in 2014 showed that up to 0.6 billionindividuals had suffered from obesity, indicating that the drugscreening against obesity is quite crucial. In mammals, there aretwo types of adipose tissues. | Baiqiang Zhai Huiqiao Zhou Li Chen Wanru Qiu Mingsheng Yang Yunbo Luo Xaomeng Liu | 2018 | Science Bulletin2018，63，5： | 0 |
| 15 | Chlorinated phthalimide polymer donor as ultra-wide bandgap and deep HOMO guest for achieving highly efficient polymer solar cells显示文摘Quaternary approach has been receiving more and more attention due to its effectiveness in improving solar cell performance, while synthesis/selection of the fourth component is yet a key issue. Herein, we report a chlorinated phthalimide based donor polymer(namely Ph I-Cl) having an ultra-wide bandgap(2.10 e V) and a deep HOMO(-5.58 e V) level. Addition of Ph I-Cl as the third component of PM6:Y6 and the fourth of PM6:Y6:PC71BM increases both hole and electron mobilities and gives rise to more balanced charge carriers mobilities. Both the short-circuit current-density and fill-factor are increased and open-circuit voltage is well maintained, delivering 17.0% and 18.1% efficiencies, respectively. These results demonstrate that chlorination on the side thiophene of phthalimide-based donor polymer is a way to make deep HOMO and ultra-wide bandgap donor polymer guest used for highly efficient ternary and quaternary strategies. | Weichao Zhang Jianhua Huang Xiaoyu Lv Ming Zhang Wanru Liu Tianzi Xu Jun Ning Alata Hexig Feng Liu Aiju Xu Chuanlang Zhan | 2023 | Chinese Chemical Letters2023，34，4： | 0 |
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