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  • SAGE Publications  (5)
  • Huang, Chuan  (5)
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  • SAGE Publications  (5)
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  • 1
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Experimental Biology and Medicine Vol. 247, No. 15 ( 2022-08), p. 1364-1378
    In: Experimental Biology and Medicine, SAGE Publications, Vol. 247, No. 15 ( 2022-08), p. 1364-1378
    Abstract: Hypoxia preconditioning is neuroprotective, but the therapeutic effects of intermittent hypoxia were not fully considered. The present study investigated the neuroprotective effect and mechanism of intermittent hypoxia on motor function after cerebral ischemia and explored alternative clinical treatment options. In total, 36 8-week-old male Sprague-Dawley rats were subjected to 60 min of transient middle cerebral artery occlusion (tMCAO) and then randomly divided into a sham-operated group (SHAM), tMCAO-sedentary group (SED), and tMCAO-intermittent hypoxia group (IH). The intervention was performed 1 week after tMCAO and lasted 4 weeks. Rats in the IH group were placed in an animal hypoxic chamber (altitude 5000 m and oxygen concentration of 13%) for 4 h/day and 7 days/week, and rats in the SED group were placed in a normoxic environment for 4 weeks. Body weights, neurological deficit scores, cerebral infarction volume ratios, gait analyses, mitochondrial structure, adenosine triphosphate (ATP) content and AMO-activated protein kinase (AMPK), peroxisome proliferator-activated receptor γ co-activator-1α (PGC-1α), and silencing regulatory protein 3 (Sirt3) expression in the peri-ischemic region brain tissues were detected during the intervention. Compared with the SED group, the body weight of the IH group gradually recovered, and the neurological deficit scores were significantly reduced ( P  〈  0.05). The gait analysis results showed that the pressure of the affected paw and the maximum content area, swing speed, stride length, and other parameters were significantly restored ( P  〈  0.05). The cerebral infarction volume ratio was significantly reduced ( P  〈  0.01). Mitochondrial morphological structure damage in the peri-ischemic region brain tissues recovered, the number was significantly increased ( P  〈  0.05), and the expression of AMPK, PGC-1α, and Sirt3 proteins ( P  〈  0.05), and ATP content were significantly increased ( P  〈  0.05). Intermittent hypoxia may activate the AMPK–PGC-1α–Sirt3 signaling pathway, promote mitochondrial biogenesis, repair mitochondrial ultrastructural damage, and improve mitochondrial function to reduce brain damage and promote motor function recovery in rats with cerebral ischemia.
    Type of Medium: Online Resource
    ISSN: 1535-3702 , 1535-3699
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2020856-X
    SSG: 12
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  • 2
    In: Cancer Control, SAGE Publications, Vol. 30 ( 2023-04)
    Abstract: Neuroblastoma (NB) is one of the children’s most common solid tumors, accounting for approximately 8% of pediatric malignancies and 15% of childhood cancer deaths. Somatic mutations in several genes, such as ALK, have been associated with NB progression and can facilitate the discovery of novel therapeutic strategies. However, the differential expression of mutated and wild-type alleles on the transcriptome level is poorly studied. Methods This study analyzed 219 whole-exome sequencing datasets with somatic mutations detected by MuTect from paired normal and tumor samples. Results We prioritized mutations in 8 candidate genes ( RIMS4, RUSC2, ALK, MYCN, PTPN11, ALOX12B, ZNF44, and CNGB1) as potential driver mutations. We further confirmed the presence of allele-specific expression of the somatic mutations in NB with integrated analysis of 127 RNA-seq samples (of which 85 also had DNA-seq data available), including MYCN, ALK, and PTPN11. The allele-specific expression of mutations suggests that the same somatic mutation may have different effects on the clinical outcomes of tumors. Conclusion Our study suggests 2 novel variants of ZNF44 as a novel candidate driver gene for NB.
    Type of Medium: Online Resource
    ISSN: 1073-2748 , 1526-2359
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2004182-2
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  • 3
    Online Resource
    Online Resource
    SAGE Publications ; 2015
    In:  International Journal of Distributed Sensor Networks Vol. 2015 ( 2015), p. 1-12
    In: International Journal of Distributed Sensor Networks, SAGE Publications, Vol. 2015 ( 2015), p. 1-12
    Abstract: Cognitive radio networks (CRNs) are an emerging wireless communications technique for resolving the significant spectrum scarcity problem. Despite their promising characteristics, CRNs also introduce new security threats, especially the internal attacks during the spectrum sensing and allocation process, which can degrade the efficiency of spectrum sensing and allocation. To address this issue, this paper proposes a distributed secure cooperative spectrum sensing strategy (DSCS) based on a dynamic reputation model to defend against attacks and provide reliable spectrum sensing. Moreover, the reputation values are used as weights in a novel distributed cheat-proof spectrum allocation strategy (DCSA) based on the Vickrey-Clarke-Groves (VCG) mechanism. Both theoretical analysis and simulation results indicate that the proposed DSCS and DCSA strategies can provide an effective countermeasure against the internal spectrum sensing data falsification (SSDF) attacks through enabling secondary users to obtain more accurate cooperative sensing results in adversarial environments.
    Type of Medium: Online Resource
    ISSN: 1550-1329 , 1550-1477
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2015
    detail.hit.zdb_id: 2192922-1
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Transactions of the Institute of Measurement and Control Vol. 42, No. 11 ( 2020-07), p. 2044-2056
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 42, No. 11 ( 2020-07), p. 2044-2056
    Abstract: In this paper, dynamic programming (DP) economical cruise control algorithms under discrete distance and discrete time strategies are designed to improve battery electric vehicle (BEV) energy consumption and riding comfort. In our experiment, energy consumption of constant-speed driving is reduced by up to 21.6% using the optimum velocity profiles from discrete distance DP. ‘Variable step length and boundary conditions’ are utilized to reduce discrete distance DP processing time by 90.8% with no effect on accuracy. Under discrete time DP, position is introduced as an additional variable, so discrete time DP allows more inputs including real-time preceding vehicle position and traffic information. The experiment results indicate that under traffic situation, discrete time DP further improves energy consumption and riding comfort by avoiding unnecessary stop at intersections compared with discrete distance DP. Further analysis indicates that under properly controlled velocity, the transfer between potential energy and kinetic energy is more efficient than that between potential energy and electric energy. These DP economical cruise control algorithms are effective for BEVs, hybrid electric vehicles and plug-in hybrid electric vehicles. ‘Variable step length and boundary conditions’ method in DP can also be applied in other domains where DP processing time is crucial.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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  • 5
    Online Resource
    Online Resource
    SAGE Publications ; 2021
    In:  Transactions of the Institute of Measurement and Control Vol. 43, No. 10 ( 2021-06), p. 2368-2377
    In: Transactions of the Institute of Measurement and Control, SAGE Publications, Vol. 43, No. 10 ( 2021-06), p. 2368-2377
    Abstract: In this paper, a vector data net solver is proposed, which can reduce bivariate discrete-time dynamic programming (DP) computation time by 98.0% without losing accuracy. Therefore, for the first time, bivariate discrete-time DP can operate under model predictive control rolling optimization to calculate future optimum vehicle velocity in real time considering future road altitude and instant traffic information. Simulation results indicate that with the solution presented in this paper, front vehicles and the proper windows to pass through front intersections can be constantly considered. Meanwhile, the calculated optimum vehicle velocity almost remains the same as the global optimum solutions. Simulation results are validated by real-car tests, and the test new energy vehicle (NEV) electricity consumption is reduced by up to 48.6%. A comparison experiment is performed between the solution presented in this paper and commonly used adaptive dynamic programming (ADP), and the results indicate that the former has better performance and stability. This paper describes a novel solution for online optimum velocity calculation under vehicle to everything (V2X) environment and can be used by all smart NEVs with autonomous driving or active cruise control functions for lower electricity consumption and better riding comfort.
    Type of Medium: Online Resource
    ISSN: 0142-3312 , 1477-0369
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2025882-3
    SSG: 3,2
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