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| 1 | Cerebral fractional amplitude of low-frequency fluctuations may predict headache intensity improvement following acupuncture treatment in migraine patients显示文摘OBJECTIVE:To explore how baseline resting-state cerebral function predicts clinical outcomes of acupuncture treatment for migraine.METHODS:One hundred migraine patients and 46 healthy subjects were recruited.Patients were randomized into the acupuncture,sham acupuncture,and waiting list groups.Resting-state functional magnetic resonance imaging data were collected at baseline and after 1 month of longitudinal acupuncture treatments.Fractional amplitude of low-frequency fluctuations(f ALFF)calculations were applied to explore the associations between baseline f ALFF and changes in clinical variables in the acupuncture treatment group and the waiting list group.RESULTS:Compared with healthy subjects,migraine patients had lower f ALFF in the left rostral ventromedial medulla,right thalamus,left amygdala,and right angular gyrus.Regression analyses revealed that baseline f ALFF values in the left middle frontal gyrus,left superior temporal gyrus,and middle temporal gyrus were positively associated with headache intensity changes in the acupuncture treatment group,while baseline f ALFF values in the bilateral lingual gyrus and cuneus were negatively associated with headache intensity changes in this group.CONCLUSION:The baseline f ALFF values of brain regions associated with cognitive pain modulation,but not migraine severity,may predict future headache intensity improvement levels in migraine patients receiving acupuncture treatment. | Li Zhengjie Zhou Jun Cheng Shirui Lan Lei Sun Ruirui Liu Mailan Yang Jie Gao Yujie Guo Taipin Gong Qiyong Zeng Fang Liang Fanrong | 2020 | Journal of Traditional Chinese Medicine2020，40，6： | 5 |
| 2 | TBM penetration rate prediction based on the long short-term memory neural network显示文摘Tunnel boring machines(TBMs)are widely used in tunnel engineering because of their safety and efficiency.The TBM penetration rate(PR)is crucial,as its real-time prediction can reflect the adaptation of a TBM under current geological conditions and assist the adjustment of operating parameters.In this study,deep learning technology is applied to TBM performance prediction,and a PR prediction model based on a long short-term memory(LSTM)neuron network is proposed.To verify the performance of the proposed model,the machine parameters,rock mass parameters,and geological survey data from the water conveyance tunnel of the Hangzhou Second Water Source project were collected to form a dataset.Furthermore,2313 excavation cycles were randomly composed of training datasets to train the LSTM-based model,and 257 excavation cycles were used as a testing dataset to test the performance.The root mean square error and the mean absolute error of the proposed model are 4.733 and 3.204,respectively.Compared with Recurrent neuron network(RNN)based model and traditional time-series prediction model autoregressive integrated moving average with explanation variables(ARIMAX),the overall performance on proposed model is better.Moreover,in the rapidly increasing period of the PR,the error of the LSTM-based model prediction curve is significantly smaller than those of the other two models.The prediction results indicate that the LSTM-based model proposed herein is relatively accurate,thereby providing guidance for the excavation process of TBMs and offering practical application value. | Boyang Gao RuiRui Wang Chunjin Lin Xu Guo Bin Liu Wengang Zhang | 2021 | Underground Space2021，6，6： | 4 |
| 3 | Energetic particles’fluxes and dose in the Radiation Gene Box measured by space radiation detector onboard SJ-10 satellite显示文摘Background To evaluate the hazard of space radiation posing to the tissues,it is important to obtain exact fluxes of different radiation particles.The Radiation Gene Box(RGB)onboard SJ-10 spacecraft was an instrument designed to investigate the effects of space environment on the mESCs and drosophila.To derive the dose received by the tissues inside the RGB,the Space Radiation Detector(SRD)was installed inside it.Purpose The SRD was designed to derive the fluxes of electron,proton,hellion and gamma rays around it.If the type of the particles,the energies,the fluxes and the conversion coefficients are known,the dose received by the tissues could be evaluated.Methods The SRDwas designed as a △E-E solid-state telescope.By measuring the energy deposited in the three subdetectors,the particles’type and their energies could be discriminated.The data of SRDwere divided into 15 bins by the types of particles and their energy ranges.Results The gamma ray flux was higher than any other particle flux inside the RGB,and the electron was the most intense charge particle,while the helium ion was the most harmful radiation to the cells inside the RGB.Conclusion The dose rate inside the Radiation Gene Box was much higher than in the ground,but the integral dose of 12 days inside the RGB was about 2.13 mSv.It seemed unlikely to have obvious biological effects on the tissues of mice and drosophila. | Xingzhu Cui Yaqing Liu Wenxi Peng Jinzhou Wang Min Gao Dongya Guo Xiaohua Liang Ruirui Fan Huanyu Wang Yunlong Zhang Zhongjian Ma Mingyang Yan Hong Xiao Yuanda Jiang Haiying Hang | 2018 | Radiation Detection Technology and Methods2018，2，2： | 2 |
| 4 | Theoretical analysis and experiments of a space depolyable truss structure 显示文摘 | ZHANG Ruirui GUO Xiaogan LIU Yanju | 2014 | Composite Structures2014，112，： | 1 |
| 5 | The C_(6)D_(6)detector system on the Back-n beam line of CSNS显示文摘Introduction The neutron capture cross sections are very important in the field of nuclear device design and basic physics research.Hydrogen-free liquid scintillator such as C_(6)D_(6)detectors are widely used in the neutron capture cross-sectional measurements for the low neutron sensitivity and fast time response.The Back-n white neutron source at China Spallation Neutron Source is the first spallation white neutron source in China,and it is suitable for neutron capture cross-sectional measurement.Materials and methods A C_(6)D_(6)detector system was built in the Back-n experimental station.The pulse height weighting technique was used to determine the system’s detection efficiency.The response to gamma rays of the C_(6)D_(6)detector was measured,and the energy resolution function was determined.Monte Carlo simulation with Geant4 code was carried out to get the weighting function of this C_(6)D_(6)detector system.Additionally,the systematic uncertainty of the weighting function was also determined.Conclusion According to the experimental and simulation results,this C_(6)D_(6)detector system can be used to measure neutron capture cross section. | Jie Ren Xichao Ruan Jie Bao Guangyuan Luan Wei Jiang Qi An Huaiyong Bai Ping Cao Qiping Chen Yonghao Chen Pinjing Cheng Zengqi Cui Ruirui Fan Changqing Feng Minhao Gu Fengqin Guo Changcai Han Zijie Han Guozhu He Yongcheng He Yuefeng He Hanxiong Huang Weiling Huang Xiru Huang Xiaolu Ji Xuyang Ji Haoyu Jiang Hantao Jing Ling Kang Mingtao Kang Bo Li Lun Li Qiang Li Xiao Li Yang Li Yang Li Rong Liu Shubin Liu Xingyan Liu Yinglin Ma Changjun Ning Binbin Qi Zhaohui Song Hong Sun Xiaoyang Sun Zhijia Sun Zhixin Tan Hongqing Tang Jingyu Tang Pengcheng Wang Qi Wang Taofeng Wang Yanfeng Wang Zhaohui Wang Zheng Wang Jie Wen Zhongwei Wen Qingbiao Wu Xiaoguang Wu Xuan Wu Likun Xie Yiwei Yang Han Yi Li Yu Tao Yu Yongji Yu Guohui Zhang Jing Zhang Linhao Zhang Liying Zhang Qingmin Zhang Qiwei Zhang Xianpeng Zhang Yuliang Zhang Zhiyong Zhang Yingtan Zhao Liang Zhou Zuying Zhou Danyang Zhu Kejun Zhu Peng Zhu | 2019 | Radiation Detection Technology and Methods2019，3，3： | 1 |
| 6 | Functions of silicon in plant drought stress responses显示文摘Silicon(Si),the second most abundant element in Earth’s crust,exerts beneficial effects on the growth and productivity of a variety of plant species under various environmental conditions.However,the benefits of Si and its importance to plants are controversial due to differences among the species,genotypes,and the environmental conditions.Although Si has been widely reported to alleviate plant drought stress in both the Si-accumulating and nonaccumulating plants,the underlying mechanisms through which Si improves plant water status and maintains water balance remain unclear.The aim of this review is to summarize the morphoanatomical,physiological,biochemical,and molecular processes that are involved in plant water status that are regulated by Si in response to drought stress,especially the integrated modulation of Si-triggered drought stress responses in Si accumulators and intermediate-and excluder-type plants.The key mechanisms influencing the ability of Si to mitigate the effects of drought stress include enhancing water uptake and transport,regulating stomatal behavior and transpirational water loss,accumulating solutes and osmoregulatory substances,and inducing plant defense-associated with signaling events,consequently maintaining whole-plant water balance.This study evaluates the ability of Si to maintain water balance under drought stress conditions and suggests future research that is needed to implement the use of Si in agriculture.Considering the complex relationships between Si and different plant species,genotypes,and the environment,detailed studies are needed to understand the interactions between Si and plant responses under stress conditions. | Min Wang Ruirui Wang Luis Alejandro Jose Mur Jianyun Ruan Qirong Shen Shiwei Guo | 2021 | Horticulture Research2021，8，1： | 1 |
| 7 | Characterization of a novel Bacillus methylotrophicus phage BM-P1显示文摘Bacillus species have been widely used as probiotics in a number of food products.However,these are vulnerable to bacteriophage infections,which poses fermentation failure and eventually result in economic losses.Given this,we designed this study in which the bacteriophage of lysogenic Bacillus methylotrophicus,phage BM-P1,was induced successfully,and its biological characteristics and genome information were researched.The obtained results showed that phage BM-P1 belonged to Myoviridae family.The maximum number of infections for this phage was 10,with a burst size of 104.48±2.70 counts expressed per milliter per infective center.Additionally,this phage was temperature-and pH-sensitive and divalent ions(Ca2+,Mg2+)and chloramphenicol did not have a significant influence on its adsorption capacity.Genomic analysis revealed that the genome size of phage BM-P1 was 153087 bp with 41.94%GC content,including 258 coding sequences.Furthermore,52 bac-teriophages of Bacillus were classified into two clades by using phylogenetic analysis.Among them,phage BM-P1 with phage VB_BsuM-Goe3 and vB_BveM-Goe7 had the highest average nucleotide identity values,95.23%and 95.28%,respectively.However,synteny analysis revealed transposition,deletion,and insertion in the genome of BM-P1.Considering this,it could be extrapolated that this phage is a new lysogenic phage.In conclusion,this study furthers the knowledge on the properties of B.methylotrophicus phages and provides seminal insights for designingeffective antiphage strategiesforfermentation industry. | Ruirui Lv Ming Xu She Guo Jingwei Yao Hafiz Arbab Sakandar Jing Guo Can Zhang Xia Chen | 2023 | Food Quality and Safety2023，7，2： | 0 |
| 8 | 3D magnetic field guided sunflower-like nanocatalytic active swarm targeting patients-derived organoids显示文摘Nanocatalytic medicine triggering in situ catalytic reactions has been considered as a promising strategy for tumor-selective therapeutics.However,the targeted distribution of nanocatalysts was still low,considering the absence of targeting propulsion capability.Here,encouraged by the fast-developing controllable microrobotics for targeting delivery,a sunflower-like nanocatalytic active swarm(SNCAS)controlled by a three-dimensional(3D)magnetic field was proposed for synergistic tumorselective and magnetic-actively tumor-targeting therapeutics.Furthermore,a patient-derived renal cancer cell 3D organoid was utilized for the verification of the effective tumor therapeutic outcomes.Under the targeted control of 3D magnetic field,the multiple cascade catalytic efficiency of SNCAS based on Fenton reaction was evaluated,resulting in efficient tumor cell apoptosis and death.For the patient-derived organoid treatment,the SNCAS presented significant lethality toward 3D organoid structure to induce cell apoptosis with the collapse of organoid morphology.The targeting efficiency was further enhanced under the magnetic-controllable of SNCAS.Overall,empowered by the magnetic control technology,the synergistic therapeutic strategy based on controllable swarm combined active targeting and tumor-specific catalytic nanomedicine has provided a novel way for advanced cancer therapy.Meanwhile,3D patient-derived organoids were proved as a powerful tool for the effectiveness verification of nanocatalytic medicine. | Dong Liu Ruirui Guo Shuangshuang Mao Yanjie Huang Bin Wang Zijian Wu Xuanjie Xia Jian Dong Yu Xin Ruiyang Xie Jianzhong Shou Wei Sun Yuan Pang Yuan Lu | 2023 | Nano Research2023，16，1： | 0 |
| 9 | Engineering the native methylotrophs for the bioconversion of methanol to value-added chemicals:current status and future perspectives显示文摘Methanol is becoming an attractive fermentation feedstock for large-scale bioproduction of chemicals,due to its natural abundance and mature production technology.Native methylotrophs,which can utilize methanol as the only source of carbon and energy,are ideal hosts for methanol bioconversion due to their high methanol utili-zation rate and have been extensively employed in the production of value-added chemicals from methanol.Here,we review the natural methanol utilization pathways in native methylotrophs,describing the available synthetic biology tools developed for engineering native methylotrophs,and discuss the strategies for improving their methanol utilization efficiency.Finally,the representative examples of engineering the native methylotrophs to produce value-added products from methanol are summarized.Furthermore,we also discuss the major challenges and possible solutions for the application of native methylotrophs in methanol-based biomanufacturing. | Jing Wang Ruirui Qin Yuanke Guo Chen Ma Xin Wang Kequan Chen Pingkai Ouyang | 2023 | Green Chemical Engineering2023，4，2： | 0 |
| 10 | A novel protein domain is important for photosystem Ⅱ complex assembly and photoautotrophic growth in angiosperms显示文摘Photosystem Ⅱ(PSⅡ)is a multi-subunit protein complex of the photosynthetic electron transport chain that is vital to photosynthesis.Although the structure,composition,and function of PSⅡ have been extensively studied,its biogenesis mechanism remains less understood.Thylakoid rhodanese-like(TROL)provides an anchor for leaf-type ferredoxin:NADP^(+)oxidoreductase.Here,we report the chacterizaton of a second type of TROL protein,TROL2,encoded by seed plant genomes whose function has not previously been reported.We show that TROL2 is a PSⅡ assembly cofactor with essential roles in the establishment of photoautotrophy.TROL2 contains a 45-amino-acid domain,termed the chlorotic lethal seedling(CLS)domain,that is both necessary and sufficient for TROL2 function in PSⅡ assembly and photoautotrophic growth.Phylogenetic analyses suggest that TROL2 may have arisen from ancestral TROL1 via gene duplication before the emergence of seed plants and acquired the CLS domain via evolution of the sequence encoding its N-terminal portion.We further reveal that TROL2(or CLS)forms an assembly cofactor complex with the intrinsic thylakoid membrane protein LOW PSⅡ ACCUMULATION2 and interacts with small PSⅡ subunits to facilitate PSⅡ complex assembly.Collectively,our study not only shows that TROL2(CLS)is essential for photoautotrophy in angiosperms but also reveals its mechanistic role in PSⅡ complex assembly,shedding light on the molecular and evolutionary mechanisms of photosynthetic complex assemblyin angiosperms. | Wei Li Jiangfan Guo Xue Han Xiaowen Da Kai Wang Hongfei Zhao Shi-Tang Huange Bosheng Li Hang He Ruirui Jiang Shichen Zhou Peng Yan Tao Chen Yi He Jiming Xu Yu Liu Yunrong Wu Huixia Shou Zhongchang Wu Chuanzao Mao Xiaorong Mo | 2023 | Molecular Plant2023，16，2： | 0 |
| 11 | Measurements of Reaction Cross Section and Fragment Momentum Distribution for Proton-rich Nucleus ^31Cl显示文摘 | Fang Deqing Ma Chunwang Fu Yaoa Ma Yugang Cai Xiangzhou Guo Wei Liu Guihua Shi Yu Tian Wendong Wang Hongwei Fan Ruirui Fu Fen Gao Hui Gao Qi Guo Wentao Han Jianlong Hu Zhengguo Huang Tianhen Jia Fei Lei Xiangguo Li Bo Sun Zhiyu Wang Meng Wang Jiansong Xiao Zhigang Xu Zhiguo Yao Xiangwu Zhang Hongbin Zhang Xueheng Zheng Chuan Xu Hushan Xiao Guoqing Zhan Wenlong | 2007 | 近代物理研究所和兰州重离子加速器实验室年报:英文版2007，，1： | 0 |
| 12 | A highly selective fluorescent probe for visualizing dry eye disease-associated viscosity variations显示文摘Dry eye disease(DED) is a multifactorial chronic inflammatory disease of the ocular surface with complex and unclear etiology. The development of reliable detection tools for the pathology of DED will benefit its treatment, but it is still lacking. In parallel, it has been discovered recently that viscosity changes are involved in inflammation processes. In this regard, we constructed a fluorescent probe V5with an asymmetric donor-acceptor-donor(D-A-D) feature after rational structural modulation for viscosity detection during DED progression. The probe manifested a remarkable fluorescence enhancement(110 folds) in highly viscous conditions without interferences from polarity and reactive species. Specifically, no aggregation effect of the probe was found in glycerol. Moreover, viscosity increment in human corneal epithelial cells(HCECs) induced by hyperosmosis and inflammation was monitored, and ferroptosis in HCECs also led to the viscosity elevation. A reactive oxygen species(ROS)-dependent viscosity changes during DED progression is demonstrated. Finally, viscosity change in corneal epithelial cell layer from mice treated by scopolamine was also visualized for the first time. We anticipate this work can provide a new lens to the pathogenesis study and diagnosis of DED and other ophthalmic diseases using fluorescence methods. | Lili Lian Ruirui Zhang Shuai Guo Zhenmin Le Lixiong Dai Yueping Ren Xiao-Qi Yu Ji-Ting Hou Jianliang Shen | 2023 | Chinese Chemical Letters2023，34，10： | 0 |
| 13 | Discovery of ARF1-targeting inhibitor demethylzeylasteral as a potential agent against breast cancer显示文摘To the Editor:ADP-ribosylation factor 1 (ARF1) plays a critical role in regulating vesicle formation and transport1. The dysregulation of ARF1 expression and/or activity is involved in many human cancers, such as breast cancer2,3. Therefore, ARF1 is one of the promising therapeutic targets for cancer treatment. | Jie Chang Ruirui Yang Lifan Chen Zisheng Fan Jingyi Zhou Hao Guo Yinghui Zhang Yadan Liu Guizhen Zhou Keke Zhang Kaixian Chen Hualiang Jiang Mingyue Zheng Sulin Zhang | 2022 | Acta Pharmaceutica Sinica B2022，12，5： | 0 |
| 14 | Dual-ratiometric magnetic resonance tunable nanoprobe with acidic-microenvironment-responsive property to enhance the visualization of early tumor pathological changes显示文摘The development of microenvironment-responsive nanoprobes has shown great promise for use in magnetic resonance imaging(MRI),with the advantage of significantly improved specificity and good biocompatibility.However,the clinical application of responsive probes is hampered by a lack of biological sensitivity for early molecular diagnostics and visualizing microenvionment of metabolism reprogramming in tumor progression.Here,we report on a dual-ratiometric magnetic resonance tunable(DMRT)nanoprobe designed by crosslinking different ratios of transferrin chelating gadolinium and superparamagnetic nanoparticles,complexed to a pH responsive biocompatible polymer.This dually activatable nanoprobe enables pH-dependent tumor microenvironment visualization,providing exceptional quantitative pathophysiological information in vitro and in vivo.When used in combination with dual-contrast enhancement triple subtraction imaging technique(DETSI),this smart nanoprobe guarantees the diagnosis of early-stage diseases.We envisage that this novel integrated nanoplatform will provide a new paradigm for the clinical translation of robust DMRT nanoprobes for early disease detection and staging,as well as microenvironment visualization and disease progression monitoring. | Rong Cao Ning Tang Yi Zhu An Chen Yumeng Li Renbin Ge Yuan Li Zhongyi Huang Jiajing Guo Jiali Deng Hongwei Lu Ziwei Lu Helen Forgham Thomas PDavis Ruirui Qiao Zhongling Wang | 2023 | Nano Research2023，16，7： | 0 |
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