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  1. Article ; Online: Ultrahigh-Q Lead Halide Perovskite Microlasers.

    Tang, Haijun / Wang, Yuhan / Chen, Yimu / Wang, Kaiyang / He, Xianxiong / Huang, Can / Xiao, Shumin / Yu, Shaohua / Song, Qinghai

    Nano letters

    2023  Volume 23, Issue 8, Page(s) 3418–3425

    Abstract: ... high-quality (Q) modes, severely hindering their practical applications. Here, we combine an etchless ...

    Abstract Lead halide perovskites have been promising platforms for micro- and nanolasers. However, the fragile nature of perovskites poses an extreme challenge to engineering a cavity boundary and achieving high-quality (Q) modes, severely hindering their practical applications. Here, we combine an etchless bound state in the continuum (BIC) and a chemically synthesized single-crystalline CsPbBr
    Language English
    Publishing date 2023-04-12
    Publishing country United States
    Document type Journal Article
    ISSN 1530-6992
    ISSN (online) 1530-6992
    DOI 10.1021/acs.nanolett.3c00463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Engineering high coenzyme Q

    Fan, Hang / Liu, Yan / Li, Chen-Yi / Jiang, Yan / Song, Jiao-Jiao / Yang, Lei / Zhao, Qing / Hu, Yong-Hong / Chen, Xiao-Ya / Xu, Jing-Jing

    Metabolic engineering

    2021  Volume 68, Page(s) 86–93

    Abstract: Coenzyme Q (CoQ) is vital for energy metabolism in living organisms. In humans, CoQ ...

    Abstract Coenzyme Q (CoQ) is vital for energy metabolism in living organisms. In humans, CoQ
    MeSH term(s) Carotenoids/metabolism ; Fruit/metabolism ; Humans ; Lycopersicon esculentum/genetics ; Mitochondria ; Ubiquinone/genetics
    Chemical Substances Ubiquinone (1339-63-5) ; Carotenoids (36-88-4)
    Language English
    Publishing date 2021-09-21
    Publishing country Belgium
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1470383-x
    ISSN 1096-7184 ; 1096-7176
    ISSN (online) 1096-7184
    ISSN 1096-7176
    DOI 10.1016/j.ymben.2021.09.007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Book ; Online: Q-Pilot

    Wang, Hanrui / Tan, Bochen / Liu, Pengyu / Liu, Yilian / Gu, Jiaqi / Cong, Jason / Han, Song

    Field Programmable Quantum Array Compilation with Flying Ancillas

    2023  

    Abstract: ... recycled during execution. We present Q-Pilot, a scalable compiler for FPQA employing flying ancillas ... to alternative technologies such as superconducting devices or fixed atom arrays, Q-Pilot effectively harnesses ...

    Abstract Neutral atom arrays have become a promising platform for quantum computing, especially the \textit{field programmable qubit array} (FPQA) endowed with the unique capability of atom movement. This feature allows dynamic alterations in qubit connectivity during runtime, which can reduce the cost of executing long-range gates and improve parallelism. However, this added flexibility introduces new challenges in circuit compilation. Inspired by the placement and routing strategies for FPGAs, we propose to map all data qubits to fixed atoms while utilizing movable atoms to route for 2-qubit gates between data qubits. Coined \textit{flying ancillas}, these mobile atoms function as ancilla qubits, dynamically generated and recycled during execution. We present Q-Pilot, a scalable compiler for FPQA employing flying ancillas to maximize circuit parallelism. For two important quantum applications, quantum simulation and the Quantum Approximate Optimization Algorithm (QAOA), we devise domain-specific routing strategies. In comparison to alternative technologies such as superconducting devices or fixed atom arrays, Q-Pilot effectively harnesses the flexibility of FPQA, achieving reductions of 1.4$\times$, 27.7$\times$, and 6.3$\times$ in circuit depth for 100-qubit random, quantum simulation, and QAOA circuits, respectively.

    Comment: 10 pages, 16 figures
    Keywords Quantum Physics ; Computer Science - Hardware Architecture ; Computer Science - Emerging Technologies
    Publishing date 2023-11-25
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Article ; Online: UPLC/Q-TOF-MS-based metabolomics and molecular docking analysis of Bifidobacterium adolescentis exposure to levofloxacin.

    Feng, Shisui / Guo, Yue / Wang, Qianyi / Meng, Mingwei / Liu, Xi / Zhang, Chi / Zheng, Hua / Guo, Hongwei / Lu, Rigang / Li, Danfeng / Su, Zhiheng / Song, Hui / Liang, Yonghong

    Biomedical chromatography : BMC

    2024  , Page(s) e5862

    Abstract: Antibiotic-associated diarrhea is a common adverse reaction caused by the widespread use of antibiotics. The decrease in probiotics is one of the reasons why antibiotics cause drug-induced diarrhea. However, few studies have addressed the intrinsic ... ...

    Abstract Antibiotic-associated diarrhea is a common adverse reaction caused by the widespread use of antibiotics. The decrease in probiotics is one of the reasons why antibiotics cause drug-induced diarrhea. However, few studies have addressed the intrinsic mechanism of antibiotics inhibiting probiotics. To investigate the underlying mechanism of levofloxacin against Bifidobacterium adolescentis, we used a metabolomics mass spectrometry-based approach and molecular docking analysis for a levofloxacin-induced B. adolescentis injury model. The results showed that levofloxacin reduced the survival rate of B. adolescentis and decreased the number of B. adolescentis. The untargeted metabolomics analysis identified 27 potential biomarkers, and many of these metabolites are involved in energy metabolism, amino acid metabolism and the lipid metabolism pathway. Molecular docking showed that levofloxacin can bind with aminoacyl-tRNA synthetase and lactic acid dehydrogenase. This result provides a novel insight into the mechanism of the adverse reactions of levofloxacin.
    Language English
    Publishing date 2024-04-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 632848-9
    ISSN 1099-0801 ; 0269-3879
    ISSN (online) 1099-0801
    ISSN 0269-3879
    DOI 10.1002/bmc.5862
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Minibatch Recursive Least Squares Q-Learning.

    Zhang, Chunyuan / Song, Qi / Meng, Zeng

    Computational intelligence and neuroscience

    2021  Volume 2021, Page(s) 5370281

    Abstract: The deep Q-network (DQN) is one of the most successful reinforcement learning algorithms ... In this paper, we propose a novel Q-learning algorithm with linear function approximation, called the minibatch ... recursive least squares Q-learning (MRLS-Q). Different from the traditional Q-learning algorithm with linear ...

    Abstract The deep Q-network (DQN) is one of the most successful reinforcement learning algorithms, but it has some drawbacks such as slow convergence and instability. In contrast, the traditional reinforcement learning algorithms with linear function approximation usually have faster convergence and better stability, although they easily suffer from the curse of dimensionality. In recent years, many improvements to DQN have been made, but they seldom make use of the advantage of traditional algorithms to improve DQN. In this paper, we propose a novel Q-learning algorithm with linear function approximation, called the minibatch recursive least squares Q-learning (MRLS-Q). Different from the traditional Q-learning algorithm with linear function approximation, the learning mechanism and model structure of MRLS-Q are more similar to those of DQNs with only one input layer and one linear output layer. It uses the experience replay and the minibatch training mode and uses the agent's states rather than the agent's state-action pairs as the inputs. As a result, it can be used alone for low-dimensional problems and can be seamlessly integrated into DQN as the last layer for high-dimensional problems as well. In addition, MRLS-Q uses our proposed average RLS optimization technique, so that it can achieve better convergence performance whether it is used alone or integrated with DQN. At the end of this paper, we demonstrate the effectiveness of MRLS-Q on the CartPole problem and four Atari games and investigate the influences of its hyperparameters experimentally.
    MeSH term(s) Algorithms ; Least-Squares Analysis ; Reinforcement, Psychology
    Language English
    Publishing date 2021-10-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5265
    ISSN (online) 1687-5273
    ISSN 1687-5265
    DOI 10.1155/2021/5370281
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online: Pseudo-Q

    Jiang, Haojun / Lin, Yuanze / Han, Dongchen / Song, Shiji / Huang, Gao

    Generating Pseudo Language Queries for Visual Grounding

    2022  

    Abstract: ... To eliminate the heavy dependence on human annotations, we present a novel method, named Pseudo-Q ... we have experimented. Code is available at https://github.com/LeapLabTHU/Pseudo-Q. ... Comment: Accepted ...

    Abstract Visual grounding, i.e., localizing objects in images according to natural language queries, is an important topic in visual language understanding. The most effective approaches for this task are based on deep learning, which generally require expensive manually labeled image-query or patch-query pairs. To eliminate the heavy dependence on human annotations, we present a novel method, named Pseudo-Q, to automatically generate pseudo language queries for supervised training. Our method leverages an off-the-shelf object detector to identify visual objects from unlabeled images, and then language queries for these objects are obtained in an unsupervised fashion with a pseudo-query generation module. Then, we design a task-related query prompt module to specifically tailor generated pseudo language queries for visual grounding tasks. Further, in order to fully capture the contextual relationships between images and language queries, we develop a visual-language model equipped with multi-level cross-modality attention mechanism. Extensive experimental results demonstrate that our method has two notable benefits: (1) it can reduce human annotation costs significantly, e.g., 31% on RefCOCO without degrading original model's performance under the fully supervised setting, and (2) without bells and whistles, it achieves superior or comparable performance compared to state-of-the-art weakly-supervised visual grounding methods on all the five datasets we have experimented. Code is available at https://github.com/LeapLabTHU/Pseudo-Q.

    Comment: Accepted by CVPR2022
    Keywords Computer Science - Computer Vision and Pattern Recognition
    Subject code 004
    Publishing date 2022-03-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: New Mutation of Coenzyme Q

    Song, Cheng-Cheng / Hong, Quan / Geng, Xiao-Dong / Wang, Xu / Wang, Shu-Qiang / Cui, Shao-Yuan / Guo, Man-Di / Li, Ou / Cai, Guang-Yan / Chen, Xiang-Mei / Wu, Di

    Chinese medical journal

    2018  Volume 131, Issue 22, Page(s) 2666–2675

    Abstract: ... mRNA) expression of coenzyme Q: Results: Using whole-exome sequencing and Sanger sequencing ...

    Abstract Background: Focal segmental glomerulosclerosis (FSGS) is a kidney disease that is commonly associated with proteinuria and the progressive loss of renal function, which is characterized by podocyte injury and the depletion and collapse of glomerular capillary segments. The pathogenesis of FSGS has not been completely elucidated; however, recent advances in molecular genetics have provided increasing evidence that podocyte structural and functional disruption is central to FSGS pathogenesis. Here, we identified a patient with FSGS and aimed to characterize the pathogenic gene and verify its mechanism.
    Methods: Using next-generation sequencing and Sanger sequencing, we screened the causative gene that was linked to FSGS in this study. The patient's total blood RNA was extracted to validate the messenger RNA (mRNA) expression of coenzyme Q
    Results: Using whole-exome sequencing and Sanger sequencing, we screened a new causative gene, COQ6, NM_182480: exon1: c.G41A: p.W14X. The mRNA expression of COQ6 in the proband showed decreased. Moreover, the expression of COQ6, which was validated by immunohistochemistry, also had the same change in the proband. Finally, we focused on the COQ6 gene to clarify the mechanism of podocyte injury. Flow cytometry showed significantly increased in apoptotic podocytes, and Western blotting showed increases in active caspase-3 in si-COQ6 podocytes. Meanwhile, reactive oxygen species (ROS) levels were increased and F-actin immunofluorescence was irregularly distributed in the si-COQ6 group.
    Conclusions: This study reported a possible mechanism for FSGS and suggested that a new mutation in COQ6, which could cause respiratory chain defect, increase the generation of ROS, destroy the podocyte cytoskeleton, and induce apoptosis. It provides basic theoretical basis for the screening of FSGS in the future.
    MeSH term(s) Adolescent ; Animals ; Apoptosis/genetics ; Apoptosis/physiology ; Cell Line ; Female ; Flow Cytometry ; Glomerulosclerosis, Focal Segmental/genetics ; Humans ; Immunohistochemistry ; Mice ; Mutation/genetics ; Podocytes/metabolism ; Podocytes/pathology ; RNA, Messenger/genetics ; RNA, Small Interfering/genetics ; RNA, Small Interfering/metabolism ; Ubiquinone/analogs & derivatives ; Ubiquinone/genetics ; Ubiquinone/metabolism
    Chemical Substances RNA, Messenger ; RNA, Small Interfering ; ubiquinone 6 (1065-31-2) ; Ubiquinone (1339-63-5) ; coenzyme Q10 (EJ27X76M46)
    Language English
    Publishing date 2018-06-06
    Publishing country China
    Document type Journal Article
    ZDB-ID 127089-8
    ISSN 2542-5641 ; 0366-6999 ; 1002-0187
    ISSN (online) 2542-5641
    ISSN 0366-6999 ; 1002-0187
    DOI 10.4103/0366-6999.245158
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: Structural Identification of Impurities in Pioglitazone Hydrochloride Preparations by 2D-UHPLC-Q-Exactive Orbitrap HRMS and Their Toxicity Prediction.

    Zhang, Dandan / Wang, Weijian / Zhao, Haiyun / Wang, Song / Yu, Mingyan / Zhang, Dongmei / Liu, Wenkun / Xie, Qiangsheng / Chen, Dejun

    International journal of analytical chemistry

    2023  Volume 2023, Page(s) 2096521

    Abstract: Pharmaceutical companies and regulatory agencies have more and more concerns for impurities in pharmaceuticals and their toxicity. In this work, heart-cutting two-dimensional ultrahigh-performance liquid chromatography (2D-UHPLC) in combination with high- ...

    Abstract Pharmaceutical companies and regulatory agencies have more and more concerns for impurities in pharmaceuticals and their toxicity. In this work, heart-cutting two-dimensional ultrahigh-performance liquid chromatography (2D-UHPLC) in combination with high-resolution mass spectrometry (HRMS) was used, setting HRMS as positive mode of electrospray ionization to identify five impurities in pioglitazone hydrochloride preparations. With the heart-cutting 2D-UHPLC and online desalting technique, the structures of five impurities were deduced in an analysis of MS
    Language English
    Publishing date 2023-10-17
    Publishing country Egypt
    Document type Journal Article
    ZDB-ID 2494714-3
    ISSN 1687-8779 ; 1687-8760
    ISSN (online) 1687-8779
    ISSN 1687-8760
    DOI 10.1155/2023/2096521
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: RabbitFX: Efficient Framework for FASTA/Q File Parsing on Modern Multi-Core Platforms.

    Zhang, Hao / Song, Honglei / Xu, Xiaoming / Chang, Qixin / Wang, Mingkai / Wei, Yanjie / Yin, Zekun / Schmidt, Bertil / Liu, Weiguo

    IEEE/ACM transactions on computational biology and bioinformatics

    2023  Volume 20, Issue 3, Page(s) 2341–2348

    Abstract: The continuous growth of generated sequencing data leads to the development of a variety of associated bioinformatics tools. However, many of them are not able to fully exploit the resources of modern multi-core systems since they are bottlenecked by ... ...

    Abstract The continuous growth of generated sequencing data leads to the development of a variety of associated bioinformatics tools. However, many of them are not able to fully exploit the resources of modern multi-core systems since they are bottlenecked by parsing files leading to slow execution times. This motivates the design of an efficient method for parsing sequencing data that can exploit the power of modern hardware, especially for modern CPUs with fast storage devices. We have developed RabbitFX, a fast, efficient, and easy-to-use framework for processing biological sequencing data on modern multi-core platforms. It can efficiently read FASTA and FASTQ files by combining a lightweight parsing method by means of an optimized formatting implementation. Furthermore, we provide user-friendly and modularized C++ APIs that can be easily integrated into applications in order to increase their file parsing speed. As proof-of-concept, we have integrated RabbitFX into three I/O-intensive applications: fastp, Ktrim, and Mash. Our evaluation shows that the inclusion of RabbitFX leads to speedups of at least 11.6 (6.6), 2.4 (2.4), and 3.7 (3.2) compared to the original versions on plain (gzip-compressed) files, respectively. These case studies demonstrate that RabbitFX can be easily integrated into a variety of NGS analysis tools to significantly reduce associated runtimes. It is open source software available at https://github.com/RabbitBio/RabbitFX.
    MeSH term(s) Software ; Computational Biology ; High-Throughput Nucleotide Sequencing
    Language English
    Publishing date 2023-06-05
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 1557-9964
    ISSN (online) 1557-9964
    DOI 10.1109/TCBB.2022.3219114
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Integration of UHPLC/Q-OrbitrapMS-based metabolomics and activities evaluation to rapidly explore the anti-inflammatory components from lasianthus.

    Zhang, Lele / Song, Shaofei / Chen, Biying / Li, Rongrong / Wang, Liming / Wang, Chenxi / Han, Lifeng / Fu, Zhifei / Zhang, Zhonglian / Wang, Qilong / Yu, Heshui

    Heliyon

    2023  Volume 9, Issue 6, Page(s) e16117

    Abstract: Lasianthus, belonging to Rubiaceae, has been verified to improve clinical syndrome in immune diseases (e.g., hepatitis, nephritis, and rheumatoid arthritis). Both the anti-inflammatory function and chemical composition of Lasianthus vary considerably ... ...

    Abstract Lasianthus, belonging to Rubiaceae, has been verified to improve clinical syndrome in immune diseases (e.g., hepatitis, nephritis, and rheumatoid arthritis). Both the anti-inflammatory function and chemical composition of Lasianthus vary considerably between different species but few studies focus. So essential it is to explore lasianthus and further search for anti-inflammatory substances. The target of this artical is to analyze the anti-inflammatory activity and chemical composition of lasianthus of different species. And the subsequent active compounds were explored. Primary, the anti-inflammatory activity among seven species of lasianthus (e.g.,
    Language English
    Publishing date 2023-05-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e16117
    Database MEDical Literature Analysis and Retrieval System OnLINE

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