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Xia Liu,Jun-Feng He,Ya-Ting Qu,Zhi-Jun Liu,Qing-Yang Pu,Shengtong Guo,Jia Du,Peng-Fei Jiang 사단법인약침학회 2016 Journal of Acupuncture & Meridian Studies Vol.9 No.2
Electroacupuncture (EA) has been shown to exert beneficial effects on obesity, but the mechanism is unclear. This study investigated the effects of EA on diet-induced obese (DIO) rats. Fifty male SpragueeDawley rats were randomly divided into low-fat diet (LFD, 10 rats) and high-fat diet (HFD, 40 rats) groups. After the DIO models had been established, successful model rats were randomly divided into HFD, EA, and orlistat (OLST) groups. The EA group received EA at Zusanli (ST36) and Quchi (LI11) for 20 minutes once per day for 28 days. The OLST group was treated with orlistat by gavage. The body weight, homeostasis model assessment-insulin resistance index, adipocyte diameters, and neuroprotein Y/agouti-related protein and protein tyrosine phosphatase 1B levels were significantly lower in the EA group than in the HFD group. The rats of the OLST group showed watery stools and yellow hairs whereas those of the EA group had regular stools and sleek coats. The effect of EA on weight loss may be related to improved insulin resistance caused by changes in the adipocyte size and by reductions in the expressions of neuroprotein Y/agouti-related protein and protein tyrosine phosphatase 1B. This study indicates that EA may be a better method of alternative therapy for treating obesity and other metabolic diseases.
Jun-Xia Wang,Miao-Miao Yang,Li-Peng Liu,Hui-Min Zhang,Meng-Chuan Wang,Yu-Wen Chen,Xiao-Ying Zang,Fang Hu 대한암학회 2023 Cancer Research and Treatment Vol.55 No.3
Purpose This study aimed to explore the impact of ABL1–tyrosine kinase inhibitors (TKIs) adherence on the survival of chromosome-positive (Ph+) acute lymphoblastic leukemia (ALL) children and clarify the potential predictors of patients’ prognosis from TKIs intake practices.Materials and Methods Ninety newly diagnosed Ph+ ALL patients who received TKIs were enrolled. We collected the baseline characteristics and adverse events in all children; moreover, TKIs adherence was measured by an eight-item Morisky medication adherence scale (MMAS-8). Progression-free survival (PFS) and overall survival (OS) analysis were performed, and risk factors for PFS and OS were evaluated.Results Among all patients, 69 cases were regarded as adherers, while 21 were non-adherers. The median duration of TKIs interruption was significantly prolonged in the non-adherence group than in the adherence group (13 [0-101] vs. 56 [11-128], p < 0.001). Additionally, dose reduction occurred in 55.2% of non-adherers versus 23.0% of adherers (p=0.002). The PFS and OS in adherers were significantly higher versus non-adherers (p=0.020 and p=0.039). MMAS-8 score was an independent risk factor for PFS (p=0.010) and OS (p=0.031). Among non-adherers, the median OS was only 23.1% (4.2%-42%) in patients aged ≤ 10 years versus 54.4% (38.8%-70%) in adolescents. Most of the patients who experienced TKIs non-adherence suffered pancytopenia.Conclusion TKIs adherence during treatment significantly influenced the survival of pediatric Ph+ ALL patients, and non-adherers with age ≤ 10 years were more vulnerable to TKIs disruption. The cumulative TKIs dose should be especially emphasized to patients with age ≤ 10 years, which may result in an inferior achievement of relevant treatment milestones.
CA Joint Resource Allocation Algorithm Based on QoE Weight
( Liu Jun-xia ),( Jia Zhen-hong ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.5
For the problem of cross-layer joint resource allocation (JRA) in the Long-Term Evolution (LTE)-Advanced standard using carrier aggregation (CA) technology, it is difficult to obtain the optimal resource allocation scheme. This paper proposes a joint resource allocation algorithm based on the weights of user’s average quality of experience (JRA-WQOE). In contrast to prevalent algorithms, the proposed method can satisfy the carrier aggregation abilities of different users and consider user fairness. An optimization model is established by considering the user quality of experience (QoE) with the aim of maximizing the total user rate. In this model, user QoE is quantified by the mean opinion score (MOS) model, where the average MOS value of users is defined as the weight factor of the optimization model. The JRA-WQOE algorithm consists of the iteration of two algorithms, a component carrier (CC) and resource block (RB) allocation algorithm called DABC-CCRBA and a subgradient power allocation algorithm called SPA. The former is used to dynamically allocate CC and RB for users with different carrier aggregation capacities, and the latter, which is based on the Lagrangian dual method, is used to optimize the power allocation process. Simulation results showed that the proposed JRA-WQOE algorithm has low computational complexity and fast convergence. Compared with existing algorithms, it affords obvious advantages such as improving the average throughput and fairness to users. With varying numbers of users and signal-to-noise ratios (SNRs), the proposed algorithm achieved higher average QoE values than prevalent algorithms.
Qin, Jun-Jie,Liu, Zhao-Xia,Wang, Jun-Mei,Du, Jiang,Xu, Li,Zeng, Chun,Han, Wu,Li, Zhi-Dong,Xie, Jian,Li, Gui-Lin Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.3
Malignant glioblastoma multiforme (GBM) is the most malignant brain tumor and despite recent advances in diagnostics and treatment prognosis remains poor. In this retrospective study, we assessed the clinical and radiological parameters, as well as fluorescence in situ hybridization (FISH) of 1p19q deletion, in a series of cases. A total of 816 patients with GBM who received surgery and radiation between January 2010 and May 2014 were included in this study. Kaplan-Meier survival analysis and Cox regression analysis were used to find the factors independently influencing patient progression free survival (PFS) and overall survival (OS). Age at diagnosis, preoperative Karnofsky Performance Scale (KPS) score, KPS score change at 2 weeks after operation, neurological deficit symptoms, tumor resection extent, maximal tumor diameter, involvement of eloquent cortex or deep structure, involvement of brain lobe, Ki-67 and MMP9 expression level and adjuvant chemotherapy were statistically significant factors (p<0.05) for both PFS and OS in the univariate analysis. Cox proportional hazards modeling revealed that age ${\leq}50$ years, preoperative KPS score ${\geq}80$, KPS score change after operation ${\geq}0$, involvement of single frontal lobe, deep structure involvement, low Ki-67 and MMP9 expression and adjuvant chemotherapy were independent favorable factors (p<0.05) for patient clinical outcomes.