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  1. AU="Yue Lu"
  2. AU="Pincus, Laura B"
  3. AU="Ibrahim, Nashwan"
  4. AU=Bray Molly S AU=Bray Molly S
  5. AU="Bregy, Amadé"
  6. AU=Kaper J B
  7. AU="León-Ramón, Susana"
  8. AU="Simpson, Andrew"
  9. AU="Peters, Wibke"
  10. AU="Malik, Sajid Ali"
  11. AU="V, Gomathi"

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  1. Artikel ; Online: Visualization of RNA Transcripts in Muscle Stem Cells Using Single-Molecule Fluorescence In Situ Hybridization.

    Yue, Lu / Cheung, Tom H

    Methods in molecular biology (Clifton, N.J.)

    2023  Band 2640, Seite(n) 445–452

    Abstract: Uncovering the transcriptomic signatures of quiescent muscle stem cells elicits the regulatory networks on stem cell quiescence. However, the spatial clues of the transcripts are missing in the commonly used quantitative analysis such as qPCR and RNA-seq. ...

    Abstract Uncovering the transcriptomic signatures of quiescent muscle stem cells elicits the regulatory networks on stem cell quiescence. However, the spatial clues of the transcripts are missing in the commonly used quantitative analysis such as qPCR and RNA-seq. Visualization of RNA transcripts using single-molecule in situ hybridization provides additional subcellular localization clues to understanding gene expression signatures. Here, we provide an optimized protocol of smFISH analysis on Fluorescence-Activated Cell Sorting isolated muscle stem cells to visualize low-abundance transcripts.
    Mesh-Begriff(e) In Situ Hybridization, Fluorescence/methods ; Gene Expression Profiling ; Stem Cells ; RNA/genetics ; Muscles
    Chemische Substanzen RNA (63231-63-0)
    Sprache Englisch
    Erscheinungsdatum 2023-03-30
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1940-6029
    ISSN (online) 1940-6029
    DOI 10.1007/978-1-0716-3036-5_30
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  2. Artikel ; Online: Exogenous melatonin alleviates neuropathic pain-induced affective disorders by suppressing NF-κB/ NLRP3 pathway and apoptosis.

    Mokhtari, Tahmineh / Yue, Lu-Peng / Hu, Li

    Scientific reports

    2023  Band 13, Heft 1, Seite(n) 2111

    Abstract: In this study, we aimed to evaluate the anti-inflammatory and anti-apoptotic effects of melatonin (MLT) on neuropathic pain (NP)-induced anxiety and depression in a rat model. Adult male rats were separated into four groups, i.e., Sham-VEH: healthy ... ...

    Abstract In this study, we aimed to evaluate the anti-inflammatory and anti-apoptotic effects of melatonin (MLT) on neuropathic pain (NP)-induced anxiety and depression in a rat model. Adult male rats were separated into four groups, i.e., Sham-VEH: healthy animals received a vehicle, Sham-MLT (10 mg/kg), and chronic constrictive injury (CCI)-VEH: nerve ligation received the vehicle, and CCI-MLT. Next, we used behavioral tests to evaluate pain severity, anxiety, and depression. Finally, rats were sacrificed for molecular and histopathological studies. Behavioral tests showed that NP could induce depressive- and anxiety-like behaviors. NP activated NF-κB/NLRP3 inflammasome pathways by upregulating NF-κB, NLRP3, ASC, active Caspase-1, also enhancing the concentrations of cytokines (IL-1β and IL-18) in the prefrontal cortex (PFC) and hippocampus (HC). NP upregulated Bax, downregulated Bcl2, and increased cell apoptosis in the HC and PFC. The rats treated with MLT eliminated the effects of NP, as the reduced pain severity, improved anxiety- and depressive-like behaviors, ameliorated NF-κB/NLRP3 inflammasome pathways, and modulated levels of cytokines in the HC and PFC. MLT could promote cell survival from apoptosis by modulating Bax and Bcl2. Therefore, it might be inferred that its anti-inflammatory and anti-apoptotic properties mediate the beneficial effects of MLT in NP-induced affective disorders.
    Mesh-Begriff(e) Rats ; Male ; Animals ; NF-kappa B/metabolism ; Inflammasomes/metabolism ; NLR Family, Pyrin Domain-Containing 3 Protein/metabolism ; Melatonin/pharmacology ; Melatonin/therapeutic use ; bcl-2-Associated X Protein ; Apoptosis ; Anti-Inflammatory Agents/pharmacology ; Cytokines/metabolism ; Neuralgia/drug therapy
    Chemische Substanzen NF-kappa B ; Inflammasomes ; NLR Family, Pyrin Domain-Containing 3 Protein ; Melatonin (JL5DK93RCL) ; bcl-2-Associated X Protein ; Anti-Inflammatory Agents ; Cytokines ; Nlrp3 protein, rat
    Sprache Englisch
    Erscheinungsdatum 2023-02-06
    Erscheinungsland England
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-28418-1
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  3. Artikel ; Online: The influence of high-speed rails on urban innovation and the underlying mechanism.

    Yue Lu / Siying Yang / Jian Li

    PLoS ONE, Vol 17, Iss 3, p e

    2022  Band 0264779

    Abstract: Innovation is intrinsically dependent on the construction of local infrastructure. Using panel data on 285 cities in China, we empirically examined the impact of high-speed rails on urban innovation and the mechanism underlying this effect. We found that ...

    Abstract Innovation is intrinsically dependent on the construction of local infrastructure. Using panel data on 285 cities in China, we empirically examined the impact of high-speed rails on urban innovation and the mechanism underlying this effect. We found that high-speed rails significantly increase urban innovation. In our analysis, high-speed rails were found to increase the agglomeration of innovation factors, including population and investment, which in turn increase urban technological innovation. The agglomeration of investment factors brought about by high-speed rails is the main source of the improvement in urban innovation. Through the use of a spatial panel model, we found that high-speed rails promote knowledge dissemination and technology spillovers among the cities along high-speed railways, thus improving their innovation levels. However, the existing effects of high-speed rails on innovation exhibit spatial heterogeneity. We confirmed the effect of high-speed rails on innovation and explored the mechanism underlying this effect by considering the effects of factor agglomeration and knowledge spillovers. Our conclusions can be used as a resource by policymakers to stimulate knowledge and technology diffusion, which in turn cultivates and stimulates urban innovation.
    Schlagwörter Medicine ; R ; Science ; Q
    Thema/Rubrik (Code) 339
    Sprache Englisch
    Erscheinungsdatum 2022-01-01T00:00:00Z
    Verlag Public Library of Science (PLoS)
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  4. Artikel ; Online: Leveraging Imitation Learning on Pose Regulation Problem of a Robotic Fish.

    Zhang, Tianhao / Yue, Lu / Wang, Chen / Sun, Jinan / Zhang, Shikun / Wei, Airong / Xie, Guangming

    IEEE transactions on neural networks and learning systems

    2024  Band 35, Heft 3, Seite(n) 4232–4245

    Abstract: In this article, the pose regulation control problem of a robotic fish is investigated by formulating it as a Markov decision process (MDP). Such a typical task that requires the robot to arrive at the desired position with the desired orientation ... ...

    Abstract In this article, the pose regulation control problem of a robotic fish is investigated by formulating it as a Markov decision process (MDP). Such a typical task that requires the robot to arrive at the desired position with the desired orientation remains a challenge, since two objectives (position and orientation) may be conflicted during optimization. To handle the challenge, we adopt the sparse reward scheme, i.e., the robot will be rewarded if and only if it completes the pose regulation task. Although deep reinforcement learning (DRL) can achieve such an MDP with sparse rewards, the absence of immediate reward hinders the robot from efficient learning. To this end, we propose a novel imitation learning (IL) method that learns DRL-based policies from demonstrations with inverse reward shaping to overcome the challenge raised by extremely sparse rewards. Moreover, we design a demonstrator to generate various trajectory demonstrations based on one simple example from a nonexpert helper, which greatly reduces the time consumption of collecting robot samples. The simulation results evaluate the effectiveness of our proposed demonstrator and the state-of-the-art (SOTA) performance of our proposed IL method. Furthermore, we deploy the trained IL policy on a physical robotic fish to perform pose regulation in a swimming tank without/with external disturbances. The experimental results verify the effectiveness and robustness of our proposed methods in real world. Therefore, we believe this article is a step forward in the field of biomimetic underwater robot learning.
    Sprache Englisch
    Erscheinungsdatum 2024-02-29
    Erscheinungsland United States
    Dokumenttyp Journal Article
    ISSN 2162-2388
    ISSN (online) 2162-2388
    DOI 10.1109/TNNLS.2022.3202075
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  5. Artikel ; Online: Spectral analysis of multiple scattering factors of turbid media for glucose measurement using near-infrared spectroscopy.

    Yue, Lu / Tongshuai, Han / Wenbo, Liu / Qing, Ge / Jin, Liu

    Journal of biomedical optics

    2023  Band 28, Heft 6, Seite(n) 65005

    Abstract: Significance: Near-infrared (NIR) diffuse reflectance spectroscopy has been widely used for non-invasive glucose measurement in humans, as glucose can induce a significant and detectable optical signal change in tissue. However, the scattering-dominated ...

    Abstract Significance: Near-infrared (NIR) diffuse reflectance spectroscopy has been widely used for non-invasive glucose measurement in humans, as glucose can induce a significant and detectable optical signal change in tissue. However, the scattering-dominated glucose spectrum in the range of 1000 to 1700 nm is easily confused with many other scattering factors, such as particle density, particle size, and tissue refractive index.
    Aim: Our aim is to identify the subtle distinctions between glucose and these factors through theoretical analysis and experimental verification, in order to employ suitable methods for eliminating these interferences, thus increasing the accuracy of non-invasive glucose measurement.
    Approach: We present a theoretical analysis of the spectra of 1000 to 1700 nm for glucose and some scattering factors, which is then verified by an experiment on a 3% Intralipid solution.
    Results: We found that both the theoretical and experimental results show that the effective attenuation coefficient of glucose has distinct spectral characteristics, which are distinct from the spectra caused by particle density and refractive index, particularly in the range of 1400 to 1700 nm.
    Conclusions: Our findings can offer a theoretical foundation for eliminating these interferences in non-invasive glucose measurement, aiding mathematical methods to model appropriately and enhance the accuracy of glucose prediction.
    Mesh-Begriff(e) Humans ; Spectroscopy, Near-Infrared/methods ; Glucose ; Hematologic Tests ; Particle Size ; Scattering, Radiation
    Chemische Substanzen Glucose (IY9XDZ35W2)
    Sprache Englisch
    Erscheinungsdatum 2023-06-15
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1309154-2
    ISSN 1560-2281 ; 1083-3668
    ISSN (online) 1560-2281
    ISSN 1083-3668
    DOI 10.1117/1.JBO.28.6.065005
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  6. Artikel ; Online: Few-Shot Image Segmentation Based on Dual Comparison Module and Sequential k-Shot Integration

    Chencong Xing / Shujing Lyu / Yue Lu

    International Journal of Computational Intelligence Systems, Vol 14, Iss

    2021  Band 1

    Abstract: Few-shot image segmentation intends to segment query images (test images) given only a few support samples with annotations. However, previous works ignore the impact of the object scales, especially in the support images. Meanwhile, current models only ... ...

    Abstract Few-shot image segmentation intends to segment query images (test images) given only a few support samples with annotations. However, previous works ignore the impact of the object scales, especially in the support images. Meanwhile, current models only work on images with the similar size of the object and rarely test on other domains. This paper proposes a new few-shot segmentation model named DCNet, which fully exploits the support set images and their annotations and is able to generalize to the test images with unseen objects of various scales. The idea is to gradually compare the features from the query and the support image, and refine the features for the query. Furthermore, a sequential k-shot comparison method is proposed based on the ConvGRU to integrate features from multiple annotated support images. Experiments on Pascal VOC dataset and X-ray Security Images demonstrate the excellent generalization performance of our model.
    Schlagwörter Few-shot learning ; Image segmentation ; Dual comparison module ; Convolutional-gated recurrent unit ; Electronic computers. Computer science ; QA75.5-76.95
    Thema/Rubrik (Code) 004
    Sprache Englisch
    Erscheinungsdatum 2021-03-01T00:00:00Z
    Verlag Springer
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  7. Artikel ; Online: Properties of Poly (Lactic-co-Glycolic Acid) and Progress of Poly (Lactic-co-Glycolic Acid)-Based Biodegradable Materials in Biomedical Research

    Yue Lu / Dongfang Cheng / Baohua Niu / Xiuzhi Wang / Xiaxia Wu / Aiping Wang

    Pharmaceuticals, Vol 16, Iss 454, p

    2023  Band 454

    Abstract: In recent years, biodegradable polymers have gained the attention of many researchers for their promising applications, especially in drug delivery, due to their good biocompatibility and designable degradation time. Poly (lactic-co-glycolic acid) (PLGA) ...

    Abstract In recent years, biodegradable polymers have gained the attention of many researchers for their promising applications, especially in drug delivery, due to their good biocompatibility and designable degradation time. Poly (lactic-co-glycolic acid) (PLGA) is a biodegradable functional polymer made from the polymerization of lactic acid (LA) and glycolic acid (GA) and is widely used in pharmaceuticals and medical engineering materials because of its biocompatibility, non-toxicity, and good plasticity. The aim of this review is to illustrate the progress of research on PLGA in biomedical applications, as well as its shortcomings, to provide some assistance for its future research development.
    Schlagwörter drug delivery ; PLGA ; synthesis ; biodegradable ; applications ; Medicine ; R ; Pharmacy and materia medica ; RS1-441
    Sprache Englisch
    Erscheinungsdatum 2023-03-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
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  8. Artikel ; Online: Investigation on Long-Term Stability of Vermiculite Seals for Reversible Solid Oxide Cell

    Ruizhu Li / Yue Lu / Yutian Yu / Xianzhi Ren / Feng Ding / Chengzhi Guan / Jianqiang Wang

    Molecules, Vol 28, Iss 1462, p

    2023  Band 1462

    Abstract: A reversible solid oxide cell (RSOC) integrating solid oxide fuel (SOFC) and a solid oxide electrolysis cell (SOEC) usually utilizes compressive seals. In this work, the vermiculite seals of various thickness and compressive load during thermal cycles ... ...

    Abstract A reversible solid oxide cell (RSOC) integrating solid oxide fuel (SOFC) and a solid oxide electrolysis cell (SOEC) usually utilizes compressive seals. In this work, the vermiculite seals of various thickness and compressive load during thermal cycles and long-term operation were investigated. The leakage rates of seals were gradually increased with increasing thickness and input gas pressure. The thinner seals had good sealing performance. The compressive load was carried out at thinner seals, the possible holes were squeezed, and finally the leakage rates were lower. With a fixed input gas pressure of 1 psi, 2 psi, and 3 psi, the leakage rates of 0.50 mm vermiculite remained at around 0.009 sccm/cm, 0.017 sccm/cm and 0.028 sccm/cm during twenty thermal cycles, while the leakage rates remained at around 0.011 sccm/cm for about 240 h. Simultaneously, elemental diffusions between seals and components were limited, implying good compatibility. Furthermore, the open circuit voltage (OCV) remained at around 1.04 V during 17 thermal cycles, which is close to Nernst potentials. The stack performance confirmed that the vermiculite seals can meet the structural support and sealing requirements. Therefore, the vermiculite shows good promise for application in stacks during thermal cycles and long-term operation.
    Schlagwörter reversible solid oxide cell ; vermiculite seals ; thermal cycles ; long term operation ; Organic chemistry ; QD241-441
    Thema/Rubrik (Code) 670
    Sprache Englisch
    Erscheinungsdatum 2023-02-01T00:00:00Z
    Verlag MDPI AG
    Dokumenttyp Artikel ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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  9. Artikel ; Online: The impact of urban spatial environment on COVID-19

    Zhen Yang / Jiaxuan Li / Yu Li / Xiaowen Huang / Anran Zhang / Yue Lu / Xu Zhao / Xueyan Yang

    Frontiers in Public Health, Vol

    a case study in Beijing

    2024  Band 11

    Abstract: Epidemics are dangerous and difficult to prevent and control, especially in urban areas. Clarifying the correlation between the COVID-19 Outbreak Frequency and the urban spatial environment may help improve cities’ ability to respond to such public ... ...

    Abstract Epidemics are dangerous and difficult to prevent and control, especially in urban areas. Clarifying the correlation between the COVID-19 Outbreak Frequency and the urban spatial environment may help improve cities’ ability to respond to such public health emergencies. In this study, we firstly analyzed the spatial distribution characteristics of COVID-19 Outbreak Frequency by correlating the geographic locations of COVID-19 epidemic-affected neighborhoods in the city of Beijing with the time point of onset. Secondly, we created a geographically weighted regression model combining the COVID-19 Outbreak Frequency with the external spatial environmental elements of the city. Thirdly, different grades of epidemic-affected neighborhoods in the study area were classified according to the clustering analysis results. Finally, the correlation between the COVID-19 Outbreak Frequency and the internal spatial environmental elements of different grades of neighborhoods was investigated using a binomial logistic regression model. The study yielded the following results. (i) Epidemic outbreak frequency was evidently correlated with the urban external spatial environment, among building density, volume ratio, density of commercial facilities, density of service facilities, and density of transportation facilities were positively correlated with COVID-19 Outbreak Frequency, while water and greenery coverage was negatively correlated with it. (ii) The correlation between COVID-19 Outbreak Frequency and the internal spatial environmental elements of neighborhoods of different grades differed. House price and the number of households were positively correlated with the COVID-19 Outbreak Frequency in low-end neighborhoods, while the number of households was positively correlated with the COVID-19 Outbreak Frequency in mid-end neighborhoods. In order to achieve spatial justice, society should strive to address the inequality phenomena of income gaps and residential differentiation, and promote fair distribution of spatial ...
    Schlagwörter epidemic ; urban spatial environment ; COVID-19 ; geographically weighted regression ; binomial logistic regression ; Public aspects of medicine ; RA1-1270
    Thema/Rubrik (Code) 710
    Sprache Englisch
    Erscheinungsdatum 2024-01-01T00:00:00Z
    Verlag Frontiers Media S.A.
    Dokumenttyp Artikel ; Online
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  10. Artikel ; Online: Protocol for Isolation and Characterization of

    Yue, Lu / Cheung, Tom H

    STAR protocols

    2020  Band 1, Heft 3, Seite(n) 100128

    Abstract: Quiescent muscle stem cells, also called satellite cells (SCs), are essential for muscle regeneration. However, quiescent SCs are quickly activated during fluorescence-activated cell sorting (FACS) isolation. Here, we present an optimized protocol to ... ...

    Abstract Quiescent muscle stem cells, also called satellite cells (SCs), are essential for muscle regeneration. However, quiescent SCs are quickly activated during fluorescence-activated cell sorting (FACS) isolation. Here, we present an optimized protocol to isolate quiescent muscle stem cells from fixative-perfused mice and generate high-quality cDNA libraries for RNA-sequencing analysis. Fixation preserves the signatures of quiescent muscle stem cells
    Mesh-Begriff(e) Animals ; Cell Separation/methods ; Fixatives/chemistry ; Gene Library ; Mice ; Muscle, Skeletal/cytology ; Perfusion/methods ; Regeneration/physiology ; Satellite Cells, Skeletal Muscle/cytology ; Sequence Analysis, RNA/methods ; Tissue Fixation/methods
    Chemische Substanzen Fixatives
    Sprache Englisch
    Erscheinungsdatum 2020-10-09
    Erscheinungsland United States
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2666-1667
    ISSN (online) 2666-1667
    DOI 10.1016/j.xpro.2020.100128
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