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      • KCI등재

        Baseline Total Metabolic Tumor Volume and Total Lesion Glycolysis Measured on 18F-FDG PET-CT Predict Outcomes in T-Cell Lymphoblastic Lymphoma

        Xiaoyan Feng,Xin Wen,Ling Li,Zhenchang Sun,Xin Li,Lei Zhang,Jingjing Wu,Xiaorui Fu,Xinhua Wang,Hui Yu,Xinran Ma,Xudong Zhang,Xinli Xie,Xingmin Han,Mingzhi Zhang 대한암학회 2021 Cancer Research and Treatment Vol.53 No.3

        Purpose There is no optimal prognostic model for T-cell lymphoblastic lymphoma (T-LBL). Here, we discussed the predictive value of total metabolic tumor volume (TMTV) and total lesion glycolysis (TLG) measured on 18F-fluorodeoxyglucose positron emission tomography–computed tomography (PET-CT) in T-LBL.Materials and Methods Thirty-seven treatment naïve T-LBL patients with PET-CT scans were enrolled. TMTV was obtained using the 41% maximum standardized uptake value (SUVmax) threshold method, and TLG was measured as metabolic tumor volume multiplied by the mean SUV. Progression-free survival (PFS) and overall survival (OS) were analyzed by Kaplan-Meier curves and compared by the log-rank test.Results The optimal cutoff values for SUVmax, TMTV, and TLG were 12.7, 302 cm3, and 890, respectively. A high SUVmax, TMTV, and TLG indicated a shorten PFS and OS. On multivariable analysis, TMTV ≥ 302 cm3, and central nervous system (CNS) involvement predicted inferior PFS, while high SUVmax, TLG and CNS involvement were associated with worse OS. Subsequently, we generated a risk model comprising high SUVmax, TMTV or TLG and CNS involvement, which stratified the population into three risk groups, which had significantly different median PFS of not reached, 14 months, and 7 months for low-risk group, mediate-risk group, and high-risk group, respectively (p < 0.001). Median OS were not reached, 27 months, and 13 months, respectively (p < 0.001).Conclusion Baseline SUVmax, TMTV, and TLG measured on PET-CT are strong predictors of worse outcome in T-LBL. A risk model integrating these three parameters with CNS involvement identifies patients at high risk of disease progression.

      • KCI등재

        Prebiotics enhance the biotransformation and bioavailability of ginsenosides in rats by modulating gut microbiota

        Xiaoyan Zhang,Sha Chen,Feipeng Duan,An Liu,Shaojing Li,Wen Zhong,Wei Sheng,Jun Chen,Jiang Xu,Shuiming Xiao 고려인삼학회 2021 Journal of Ginseng Research Vol.45 No.2

        Background: Gut microbiota mainly function in the biotransformation of primary ginsenosides into bioactive metabolites. Herein, we investigated the effects of three prebiotic fibers by targeting gut microbiota on the metabolism of ginsenoside Rb1 in vivo. Methods: Sprague Dawley rats were administered with ginsenoside Rb1 after a two-week prebiotic intervention of fructooligosaccharide, galactooligosaccharide, and fibersol-2, respectively. Pharmacokinetic analysis of ginsenoside Rb1 and its metabolites was performed, whilst the microbial composition and metabolic function of gut microbiota were examined by 16S rRNA gene amplicon and metagenomic shotgun sequencing. Results: The results showed that peak plasma concentration and area under concentration time curve of ginsenoside Rb1 and its intermediate metabolites, ginsenoside Rd, F2, and compound K (CK), in the prebiotic intervention groups were increased at various degrees compared with those in the control group. Gut microbiota dramatically responded to the prebiotic treatment at both taxonomical and functional levels. The abundance of Prevotella, which possesses potential function to hydrolyze ginsenoside Rb1 into CK, was significantly elevated in the three prebiotic groups (P < 0.05). The gut metagenomic analysis also revealed the functional gene enrichment for terpenoid/polyketide metabolism, glycolysis, gluconeogenesis, propanoate metabolism, etc. Conclusion: These findings imply that prebiotics may selectively promote the proliferation of certain bacterial stains with glycoside hydrolysis capacity, thereby, subsequently improving the biotransformation and bioavailability of primary ginsenosides in vivo.

      • KCI등재

        ON THE NONLINEAR MATRIX EQUATION X + ∑m i=1 A iX−qAi = Q(0 < q 1)

        Xiaoyan Yin,Ruiping Wen,Liang Fang 대한수학회 2014 대한수학회보 Vol.51 No.3

        In this paper, the nonlinear matrix equation X + m ∑ i=1 A∗ i X−qAi = Q (0 < q 1) is investigated. Some necessary conditions and sufficient conditions for the existence of positive definite solutions for the matrix equation are derived. Two iterative methods for the maximal positive definite solution are proposed. A perturbation estimate and an explicit expression for the condition number of the maximal positive definite solution are obtained. The theoretical results are illustrated by numerical examples.

      • KCI등재

        Reinforcement Learning enabled Cooperative Spectrum Sensing in Cognitive Radio Networks

        Wenli Ning,Xiaoyan Huang,Kun Yang,Fan Wu,Supeng Leng 한국통신학회 2020 Journal of communications and networks Vol.22 No.1

        In cognitive radio (CR) networks, fast and accurate spectrumsensing plays a fundamental role in achieving high spectralefficiency. In this paper, a reinforcement learning (RL) enabled cooperativespectrum sensing scheme is proposed for the secondaryusers (SUs) to determine the scanning order of channels and selectthe partner for cooperative spectrum sensing. By applying Qlearningapproach, each SU learns the occupancy pattern of theprimary channels thus forming a dynamic scanning preference list,so as to reduce the scanning overhead and access delay. To improvethe detection efficiency in dynamic environment, a discounted upperconfidence bound (D-UCB) based cooperation partner selectionalgorithm is devised wherein each SU learns the time varying detectionprobability of its neighbors, and selects the one with the potentiallyhighest detection probability as the cooperation partner. Simulation results demonstrate that the proposed cooperative spectrumsensing scheme achieves significant performance gain overvarious reference algorithms in terms of scanning overhead, accessdelay, and detection efficiency.

      • SCIESCOPUSKCI등재

        ON THE NONLINEAR MATRIX EQUATION $X+\sum_{i=1}^{m}A_i^*X^{-q}A_i=Q$(0<q≤1)

        Yin, Xiaoyan,Wen, Ruiping,Fang, Liang Korean Mathematical Society 2014 대한수학회보 Vol.51 No.3

        In this paper, the nonlinear matrix equation $$X+\sum_{i=1}^{m}A_i^*X^{-q}A_i=Q(0<q{\leq}1)$$ is investigated. Some necessary conditions and sufficient conditions for the existence of positive definite solutions for the matrix equation are derived. Two iterative methods for the maximal positive definite solution are proposed. A perturbation estimate and an explicit expression for the condition number of the maximal positive definite solution are obtained. The theoretical results are illustrated by numerical examples.

      • KCI등재

        Effect of Shadow Banking Activities on Firm Risk and Performance: Entrusted Loan Evidence from Chinese Listed Firms

        Meng-Wen Wu,Xiaoyan Wang,Sijia Qiao,Chung-Hua Shen,Juan Wang 한국증권학회 2022 Asia-Pacific Journal of Financial Studies Vol.51 No.2

        This study investigates the effect of non-financial firms’ activities in shadow banking on firm risk and performance. Using manually collected data of entrusted loans from Chinese listed firms, we find that lending firms’ bankruptcy risk and performance increases from their engagement of entrusted loan businesses in the year the loans are issued and in the following year. Further, firms’ risk increases and performance improves significantly when firms are financially healthy, financially constrained, and non-state-owned. Overall, our findings provide policy implications that the risk of shadow banking activities must be cautious.

      • KCI등재

        An exchange bias observed in Tb/Cr/FeCo trilayers with ultrathin Cr layer at low temperature

        Sun Li,Li Xiaoyan,Zhang Yiwei,Song Hengbo,Zhang Wen,Kou Zhaoxia,Zhang Dong,Liu Xiaoying,Fei Hongyang,Pan Mengmei,Zhao Zhibin,Zhai Ya 한국물리학회 2022 Current Applied Physics Vol.44 No.-

        Positive exchange bias field (He) is observed in Tb/Cr (tCr)/FeCo trilayers at 5 K without cooling field, and negative He for Tb/FeCo bilayer. The negative He of Tb/FeCo implies the FM coupling at the interface due to Co and Fe dominate in the magnetization of the ferrimagnetic interlayer alloy of FeCo and Tb. With the inserting of Cr layer, this situation is broken, and the positive He implies the antiferromagnetic interlayer coupling. A peak of He = 6.0 mT for trilayers with tCr = 1.5 nm is corresponding to the minimum value of coercivity as a function of tCr at 5 K, which is used to study the effect of the cooling field (Hfc) on He as a function of temperature. It is found that Hfc of 100 mT triggers He from positive to negative at T ≤ 15 K. The magnetoresistance results also confirm the coexistence of multiple MR mechanisms in these trilayers.

      • An Visual System for Humanoid Robot Mobile-Manipulation Based on Virtual and Real Video Fusion

        Lei Wang,Lei Zhang,Junyan Yi,Xiaoyan Wen,Chuncheng Liao 보안공학연구지원센터 2015 International Journal of Signal Processing, Image Vol.8 No.5

        A visual system based on virtual and real video for the humanoid robot manipulation is presented. 3D virtual model of humanoid robot is established. It has the same aspect and freedom setup as the real robot. Multiple feedback from the robot are fused and used to express the real robot status as text and images. The system also forecasts the operation order and displays the simulation result. In the data fusion module, a least-squares algorithm is adopted to calculate the real-time position and attitude of the robot. Experiments demonstrate that the system can offer good telepresence and a preview of the operation order. In this paper, we also propose an adaptive Elastic Net method for edge linking of images from the robot cameras to understand the situation of the task. In the proposed method, an adaptive dynamic parameter strategy and a stochastic noise strategy are introduced into the Elastic Net, which enables the network to have superior ability for escaping from local minima and converge sooner to optimal or near-optimal solutions

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