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  • 1
    Online Resource
    Online Resource
    Mir-20a-5p induced WTX deficiency promotes gastric cancer progressions through regulating PI3K/AKT signaling pathway
    Springer Science and Business Media LLC ; 2020
    In:  Journal of Experimental & Clinical Cancer Research Vol. 39, No. 1 ( 2020-12)
    Details
    In: Journal of Experimental & Clinical Cancer Research, Springer Science and Business Media LLC, Vol. 39, No. 1 ( 2020-12)
    Abstract: The X-linked gene WTX (also called AMER1) has been reported to function as a tumour suppressor gene in Wilms’ tumour. In our previous study, WTX expression was shown to be significantly reduced in gastric cancer (GC), but the function and mechanism associated with WTX loss had yet to be fully elucidated. Methods WTX expression and clinical significance were father analyzed in GC and control normal gastric tissues, and validated in public databases. The candidate pathway which was regulated by WTX during GC progression was searched by KEGG pathway analysis. The miRNA which monitored WTX expression was screened by miRNA microarray. After verified the pathway and miRNA both in vitro and in vivo, the relationship of miRNA, WTX and the downstream pathway were analyzed by Western blot, immunohistochemistry, RT-PCR, Co-immunoprecipitation (Co-IP), and luciferase analyses. Results The results showed that WTX serves as a tumour suppressor gene in GC. The loss of WTX which is associated with the aggressiveness of GC by promoting GC cell proliferation in vitro and high metastasis in vivo . Furthermore, WTX expression was positively correlated with the overall survival of GC patients. Microarray assays, bioinformatics analysis, and verification experiments showed that WTX loss activates the PI3K/AKT/mTOR pathway and promotes GC cell proliferation and invasion. And the aberrant miR-20a-5p upregulation contributes to WTX loss in GC, which stimulates PI3K phosphorylation to activate PI3K/AKT/mTOR signaling pathway and promoted GC progression. Conclusions The results of the present study elucidated the mechanism of GC progression, which is at least partially caused by aberrant miR-20a-5p upregulation leading to the inhibition of WTX expression and PI3K/AKT/mTOR signaling pathway activation. These findings provide a comprehensive understanding of the action of the miR-20a-5p/WTX/PI3K/AKT/mTOR signaling pathway in the progression and metastasis of GC.
    Type of Medium: Online Resource
    ISSN: 1756-9966
    URL: Article
    DOI: 10.1186/s13046-020-01718-4
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2430698-8
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  • 2
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    Correction to: Mir-20a-5p induced WTX deficiency promotes gastric cancer progressions through regulating PI3K/AKT signaling pathway
    Springer Science and Business Media LLC ; 2021
    In:  Journal of Experimental & Clinical Cancer Research Vol. 40, No. 1 ( 2021-12)
    Details
    In: Journal of Experimental & Clinical Cancer Research, Springer Science and Business Media LLC, Vol. 40, No. 1 ( 2021-12)
    Abstract: An amendment to this paper has been published and can be accessed via the original article.
    Type of Medium: Online Resource
    ISSN: 1756-9966
    URL: Article
    DOI: 10.1186/s13046-020-01809-2
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2430698-8
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  • 3
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    Sintering quality and parameters optimization of sisal fiber/PES composite fabricated by selective laser sintering (SLS)
    SAGE Publications ; 2022
    In:  Journal of Thermoplastic Composite Materials Vol. 35, No. 10 ( 2022-10), p. 1632-1646
    Details
    In: Journal of Thermoplastic Composite Materials, SAGE Publications, Vol. 35, No. 10 ( 2022-10), p. 1632-1646
    Abstract: This article aims to improve the sintering quality of the sisal fiber/poly-(ether sulfone) (PES) composite (SFPC) part fabricated via selective laser sintering (SLS). The sisal fiber and PES powders were proposed as the feedstock of the SFPC powder bed for SLS. An orthogonal experimental methodology with four levels and five factors was applied to optimize the process parameters for the single-layer sintering experiment. The mechanical properties and accurate dimensions of the sintered part were tested using a universal testing machine and Vernier caliper. The preheating temperature, scanning speed, and laser power were selected as influencing factors on the mechanical properties and accuracy dimensions of the SFPC part. Furthermore, the influence factors on the quality of the sintered part were studied and analyzed. Additionally, the synthesis weighted scoring method was used to determine the optimum parameters of the SLS part. The results showed that the optimal parameters (factors) were preheating temperature of 82°C, scanning speed of 2 m s −1 , laser power of 14 W, and laser wavelength of 10.6 μm. Thus, the quality of SFPC part was significantly enhanced when the optimum parameters were applied in SLS process. This article provided the main reference value for the choice of the process parameters of the biomass composite.
    Type of Medium: Online Resource
    ISSN: 0892-7057 , 1530-7980
    URL: Article
    DOI: 10.1177/0892705720939179
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2098671-3
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  • 4
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    An enhanced honey badger algorithm based on Lévy flight and refraction opposition-based learning for engineering design problems
    IOS Press ; 2022
    In:  Journal of Intelligent & Fuzzy Systems Vol. 43, No. 4 ( 2022-08-10), p. 4517-4540
    Details
    In: Journal of Intelligent & Fuzzy Systems, IOS Press, Vol. 43, No. 4 ( 2022-08-10), p. 4517-4540
    Abstract: Honey badger algorithm (HBA) is a recently developed meta-heuristic algorithm, which mainly simulates the dynamic search behavior of honey badger in wild nature. Similar to other basic algorithms, HBA may suffer from the weakness of poor convergence accuracy, inadequate balance between exploration and exploitation, and ease of getting trapped into the local optima. In order to address these drawbacks, this paper proposes an enhanced honey badger algorithm (EHBA) to improve the search quality of the basic method from three aspects. First, we introduce the highly disruptive polynomial mutation to initialize the population. This is considered from increasing the population diversity. Second, Lévy flight is integrated into the position update formula to boost search efficiency and balance exploration and exploitation capabilities of the algorithm. Furthermore, the refraction opposition-based learning is applied to the current global optimum of the swarm to help the population jump out of the local optima. To validate the function optimization performance, the proposed EHBA is comprehensively analyzed on 18 standard benchmark functions and IEEE CEC2017 test suite. Compared with the basic HBA and seven state-of-the-art algorithms, the experimental results demonstrate that EHBA can outperform other competitors on most of the test functions with superior solution accuracy, local optima avoidance, and stability. Additionally, the applicability of the proposed method is further highlighted by solving four engineering design problems. The results indicate that EHBA also has competitive performance and promising prospects for real-world optimization tasks.
    Type of Medium: Online Resource
    ISSN: 1064-1246 , 1875-8967
    URL: Article
    DOI: 10.3233/JIFS-213206
    Language: Unknown
    Publisher: IOS Press
    Publication Date: 2022
    detail.hit.zdb_id: 2070080-5
    SSG: 11
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  • 5
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    Hierarchically Planning Static Gait for Quadruped Robot Walking on Rough Terrain
    Hindawi Limited ; 2019
    In:  Journal of Robotics Vol. 2019 ( 2019-05-02), p. 1-12
    Details
    In: Journal of Robotics, Hindawi Limited, Vol. 2019 ( 2019-05-02), p. 1-12
    Abstract: Quadruped robot has great potential to walk on rough terrain, in which static gait is preferred. A hierarchical structure based controlling algorithm is proposed in this paper, in which trajectory of robot center is searched, and then static gaits are generated along such trajectory. Firstly, cost map is constructed by computing terrain features under robot body and cost of selecting footholds at default positions, and then the trajectory of robot center in 2D space is searched using heuristic A ⁎ algorithm. Secondly, robot state is defined from foothold and robot pose, and then state series are searched recursively along the trajectory of robot center to generate static gaits, where a tree-like structure is used to store such states. Lastly, a classical model for quadruped robot is designed, and then the controlling algorithm proposed in the paper is demonstrated on such robot model for both structured terrain and complex unstructured terrain in a simulation environment.
    Type of Medium: Online Resource
    ISSN: 1687-9600 , 1687-9619
    URL: Article
    DOI: 10.1155/2019/3153195
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2019
    detail.hit.zdb_id: 2582988-9
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  • 6
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    Learning the Cost Function for Foothold Selection in a Quadruped Robot
    MDPI AG ; 2019
    In:  Sensors Vol. 19, No. 6 ( 2019-03-14), p. 1292-
    Details
    In: Sensors, MDPI AG, Vol. 19, No. 6 ( 2019-03-14), p. 1292-
    Abstract: This paper is focused on designing a cost function of selecting a foothold for a physical quadruped robot walking on rough terrain. The quadruped robot is modeled with Denavit–Hartenberg (DH) parameters, and then a default foothold is defined based on the model. Time of Flight (TOF) camera is used to perceive terrain information and construct a 2.5D elevation map, on which the terrain features are detected. The cost function is defined as the weighted sum of several elements including terrain features and some features on the relative pose between the default foothold and other candidates. It is nearly impossible to hand-code the weight vector of the function, so the weights are learned using Supporting Vector Machine (SVM) techniques, and the training data set is generated from the 2.5D elevation map of a real terrain under the guidance of experts. Four candidate footholds around the default foothold are randomly sampled, and the expert gives the order of such four candidates by rotating and scaling the view for seeing clearly. Lastly, the learned cost function is used to select a suitable foothold and drive the quadruped robot to walk autonomously across the rough terrain with wooden steps. Comparing to the approach with the original standard static gait, the proposed cost function shows better performance.
    Type of Medium: Online Resource
    ISSN: 1424-8220
    URL: Article
    DOI: 10.3390/s19061292
    Language: English
    Publisher: MDPI AG
    Publication Date: 2019
    detail.hit.zdb_id: 2052857-7
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  • 7
    Online Resource
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    Design and Experiment of a Hand Movement Device Driven by Shape Memory Alloy Wires
    Hindawi Limited ; 2021
    In:  Journal of Robotics Vol. 2021 ( 2021-3-30), p. 1-13
    Details
    In: Journal of Robotics, Hindawi Limited, Vol. 2021 ( 2021-3-30), p. 1-13
    Abstract: Hand is one of the most flexible and useful organs of the human body. However, cases of hand function loss due to diseases and accidents abound, which brings a lot of inconvenience to patients’ lives. This paper introduced a flexible hand movement device (HMD) driven by shape memory alloy (SMA) wires, which is compact, lightweight, and easy to use during activities of daily living (ADL). Firstly, we elaborated the design and modelling process, including the driving analysis of SMA wires. Secondly, the manufacturing process and testing method of the HMD are presented. Thirdly, the results of the experiment are discussed in detail. Through the experiment, we obtained the bending angle and operating space of fingers. Moreover, the joint angle as well as the fingertip force can be controlled using PWM. A maximum angular movement of 45°, 62°, and 71° can be generated at the metacarpophalangeal (MCP), proximal interphalangeal (PIP), and distal interphalangeal joints (DIP) of a finger using an SMA wire, respectively. Then, the operating space of the entire hand can be calculated based on the experimental results. Besides, an estimated 40 N of grasping force can be produced for a whole hand. In conclusion, this research indicates that the finger movement driven by the HMD is similar to a healthy person, which can meet the needs of ADL.
    Type of Medium: Online Resource
    ISSN: 1687-9619 , 1687-9600
    URL: Article
    DOI: 10.1155/2021/6611581
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2021
    detail.hit.zdb_id: 2582988-9
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  • 8
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    A Biomimetic Flexible Fishtail Embedded With Shape Memory Alloy Wires
    Institute of Electrical and Electronics Engineers (IEEE) ; 2019
    In:  IEEE Access Vol. 7 ( 2019), p. 166906-166916
    Details
    In: IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), Vol. 7 ( 2019), p. 166906-166916
    Type of Medium: Online Resource
    ISSN: 2169-3536
    URL: Journal
    URL: Article
    DOI: 10.1109/Access.6287639
    DOI: 10.1109/ACCESS.2019.2953546
    Language: Unknown
    Publisher: Institute of Electrical and Electronics Engineers (IEEE)
    Publication Date: 2019
    detail.hit.zdb_id: 2687964-5
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  • 9
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    Dynamic Chaotic Opposition-Based Learning-Driven Hybrid Aquila Optimizer and Artificial Rabbits Optimization Algorithm: Framework and Applications
    MDPI AG ; 2022
    In:  Processes Vol. 10, No. 12 ( 2022-12-14), p. 2703-
    Details
    In: Processes, MDPI AG, Vol. 10, No. 12 ( 2022-12-14), p. 2703-
    Abstract: Aquila Optimizer (AO) and Artificial Rabbits Optimization (ARO) are two recently developed meta-heuristic optimization algorithms. Although AO has powerful exploration capability, it still suffers from poor solution accuracy and premature convergence when addressing some complex cases due to the insufficient exploitation phase. In contrast, ARO possesses very competitive exploitation potential, but its exploration ability needs to be more satisfactory. To ameliorate the above-mentioned limitations in a single algorithm and achieve better overall optimization performance, this paper proposes a novel chaotic opposition-based learning-driven hybrid AO and ARO algorithm called CHAOARO. Firstly, the global exploration phase of AO is combined with the local exploitation phase of ARO to maintain the respective valuable search capabilities. Then, an adaptive switching mechanism (ASM) is designed to better balance the exploration and exploitation procedures. Finally, we introduce the chaotic opposition-based learning (COBL) strategy to avoid the algorithm fall into the local optima. To comprehensively verify the effectiveness and superiority of the proposed work, CHAOARO is compared with the original AO, ARO, and several state-of-the-art algorithms on 23 classical benchmark functions and the IEEE CEC2019 test suite. Systematic comparisons demonstrate that CHAOARO can significantly outperform other competitor methods in terms of solution accuracy, convergence speed, and robustness. Furthermore, the promising prospect of CHAOARO in real-world applications is highlighted by resolving five industrial engineering design problems and photovoltaic (PV) model parameter identification problem.
    Type of Medium: Online Resource
    ISSN: 2227-9717
    URL: Article
    DOI: 10.3390/pr10122703
    Language: English
    Publisher: MDPI AG
    Publication Date: 2022
    detail.hit.zdb_id: 2720994-5
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  • 10
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    Online Resource
    Initial Design and Experiment of a Vehicle with a Biomimetic Level Pectoral Fin Actuated by Shape Memory Alloy Wires
    American Scientific Publishers ; 2012
    In:  Advanced Science Letters Vol. 5, No. 2 ( 2012-02-01), p. 722-725
    Details
    In: Advanced Science Letters, American Scientific Publishers, Vol. 5, No. 2 ( 2012-02-01), p. 722-725
    Type of Medium: Online Resource
    ISSN: 1936-6612 , 1936-7317
    URL: Article
    DOI: 10.1166/asl.2012.1851
    Language: English
    Publisher: American Scientific Publishers
    Publication Date: 2012
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