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Zhao Linjie,Yang Mao,Xiao Chengjian,Gong Yu,Ran Guangming,Chen Xiaojun,Li Jiamao,Yue Lei,Chen Chao,Hou Jingwei,Wang Heyi,Long Xinggui,Peng Shuming 한국원자력학회 2024 Nuclear Engineering and Technology Vol.56 No.1
Understanding the tritium release and retention behavior of candidate tritium breeder materials is crucial for breeder blanket design. Recently, a melt spraying process was developed to prepare Li4SiO4 pebbles, which were subsequently subjected to the in-pile tritium production and extraction platform in China Mianyang Research Reactor (CMRR) to investigate their in-situ tritium release behavior and irradiation performance. The results demonstrate that HT is the main tritium release form, and adding hydrogen to the purge gas reduces tritium retention while increasing the HT percent in the purge gas. Post-irradiation experiments reveal that the irradiated pebbles darken in color and their grains swell, but the mechanical properties remain largely unchanged. It is concluded that the tritium residence time of Li4SiO4 made by melt spraying method at 467 ◦C is approximately 23.34 h. High-density Li4SiO4 pebbles exhibit tritium release at relatively low temperatures (<600 ◦C) that is mainly controlled by bulk diffusion. The diffusion coefficient at 525 ◦C and 550 ◦C is 1.19 × 10 11 cm2/s and 5.34 × 10 11 cm2/s, respectively, with corresponding tritium residence times of 21.3 hours and 4.7 hours.
Ran An,Shuai Wen,Dong-Li Li,Qiu-Hua Li,Xing-Fei Lai,Wen-Ji Zhang,Ruo-Hong Chen,Jun-Xi Cao,Zhi-Gang Li,Qiu-Sheng Huang,Ling-Li Sun,Shi-Li Sun 한국식품영양과학회 2020 Journal of medicinal food Vol.23 No.9
Tea and citrus maxima are natural, medicinal homologous plants, typically used for making beverages, which have anticancer, antiobesity, and antioxidation properties. Green tea, yellow tea, and black tea were combined with citrus maxima to obtain green tea and Citrus maxima (GTCM), yellow tea and Citrus maxima (YTCM), and black tea and Citrus maxima (BTCM). The biochemical components of these mixtures were analyzed, and their possible effects and mechanisms on relieving liver lipid deposition were explored. The tea polyphenols, free amino acids, phenolamine ratio, and caffeine were comparable in YTCM and GTCM, being significantly higher than those in BTCM. In addition, the content of esterified catechins, nonesterified catechins, and total catechins in YTCM was significantly higher than those in GTCM and BTCM. All three mixtures of Citrus maxima tea significantly reduced lipid deposition in HepG2 cells, with GTCM and YTCM being slightly more effective than BTCM. Regarding the possible mechanism, Western blot analysis revealed that the three Citrus maxima tea mixtures could activate the AMPK/ACC signaling pathway, upregulate the expression of p-AMPK, p-ACC, and CPT-1 proteins, and downregulate the expression of SREBP1c and fatty acid synthase proteins to inhibit fat synthesis, thereby relieving lipid deposition in liver cells. In conclusion, as a novel and healthy beverage, Citrus maxima tea has the potential to alleviate liver lipid deposition, and further could be responsible for obesity treatment.
Ran Chu,Penglin Liu,Jingying Chen,Xiaodong Cheng,Kezhen Li,Yanci Che,Jianliu Wang,Li Li,Xi Zhang,Shu Yao,Li Song,Ying Zhao,Changzhen Huang,Ying Xue,Xiyu Pan,Junting Li,Zhongshao Chen,Jie Jiang,Beihua 대한부인종양학회 2023 Journal of Gynecologic Oncology Vol.34 No.2
Objective: To evaluate the impact of bleomycin/etoposide/cisplatin (BEP) and paclitaxel/carboplatin (PC) chemotherapy regimens on the fertility and prognostic outcomes in malignant ovarian germ cell tumor (MOGCT) patients who underwent fertility-sparing surgery (FSS). Methods: A propensity score matching algorithm was performed between the BEP and PC groups. The χ2 test and the Kaplan-Meier method were used to compare the fertility outcome, disease-free survival (DFS) and overall survival (OS). The Cox proportional hazards regression analysis was used to identify risk factor of DFS. Results: We included 213 patients, 185 (86.9%) underwent BEP chemotherapy, and 28 (13.1%) underwent PC chemotherapy. The median age was 22 years (range, 8–44 years), and the median follow-up period was 63 months (range, 2–191 months). Fifty-one (29.3%) patients had a pregnancy plan, and 35 (85.4%) delivered successfully. In the before and after propensity score matching cohorts, there were no significant differences in spontaneous abortion, selective termination of pregnancy, during-pregnancy status, and live birth between the BEP and PC groups (p>0.05). Fourteen (6.6%) patients experienced recurrence, including 11 (5.9%) in the BEP group and 3 (10.7%) in the PC group. Four (1.9%) patients in the BEP group died. Kaplan-Meier analysis revealed no significant differences in DFS (p=0.328) and OS (p=0.446) between the BEP and PC groups, and the same survival results were observed in the after matching cohort. Conclusion: The PC regimen is as safe as the BEP regimen for MOGCT patients with fertility preservation treatment, and no differences were observed in fertility and clinical prognosis.
Positioning Reference Signal-Orientated Moving Train Localization in Ricean Channel
Cui-Ran Li,Jian-Li Xie 보안공학연구지원센터 2016 International Journal of Future Generation Communi Vol.9 No.10
In this paper, the challenging problem of train localization is investigated. Precise localization of rail vehicles is a key element for development of more efficient and safe operation of high-speed railway. The localization task is formulated in a 3GPP LTE-based framework that enables us to derive the Doppler frequency offset of moving train, by exploitation of positioning reference signal (PRS) placed in the subframe, in Ricean channel. Then, a PRS-oriented train position approach is proposed. The PRS time difference of arrival from positioning references eNB1 and eNB2, is calculated by sequences cross correlation, and the train running curve is determined by inquiring about the line database of track section. Finally, the train position is evaluated by combining the information of PRS time difference of arrival and the train’s moving trajectory. In the simulation, the localization performance is well demonstrated, when two types of railway alignments, i.e., straight line and circle curve, are considered.
Zhi-Ning Huang,Han Liang,Hong Qiao,Bao-Rui Wang,Ning Qu,Hua Li,Run-Run Zhou,Li-Juan Wang,Shan-Hua Li,Fu-Nan Li 대한약학회 2018 Archives of Pharmacal Research Vol.41 No.12
Guided by bioisosterism and pharmacokinetic parameters, we designed and synthesized a series of novel benzamide derivatives. Preliminary in vitro studies indicated that compounds 10b and 10j show significant inhibitory bioactivity in HepG2 cells (IC50 values of 0.12 and 0.13 μM, respectively). Compounds 10b and 10j induced the expression of HIF-1α protein and downstream target gene p21, and upregulated the expression of cleaved caspase-3 to promote tumor cells apoptosis.
( Ran Li ),( Zongliang Gan ),( Ziguan Cui ),( Minghu Wu ),( Xiuchang Zhu ) 한국인터넷정보학회 2013 KSII Transactions on Internet and Information Syst Vol.7 No.2
In this paper, we propose a compressed sensing (CS) based Wyner-Ziv (WZ) codec using motion-aligned auto regressive model (MAAR) based side information (SI) extrapolation to improve the compression performance of low-delay distributed video coding (DVC). In the CS based WZ codec, the WZ frame is divided into small blocks and CS measurements of each block are acquired at the encoder, and a specific CS reconstruction algorithm is proposed to correct errors in the SI using CS measurements at the decoder. In order to generate high quality SI, a MAAR model is introduced to improve the inaccurate motion field in auto regressive (AR) model, and the Tikhonov regularization on MAAR coefficients and overlapped block based interpolation are performed to reduce block effects and errors from over-fitting. Simulation experiments show that our proposed CS based WZ codec associated with MAAR based SI generation achieves better results compared to other SI extrapolation methods.
A Hybrid Intelligent Optimization Algorithm of Fast Convergence
Li Yi-ran,Zhang Chun-na 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
A hybrid intelligent optimization algorithm based on quantum particle swarm is presented to solve the problem that the local search ability of traditional SFLA is poor and converges very slowly. The particle is quantized and introduced chaos mechanism in the algorithm in order to enhance the global search ability, using the escape strategy, the group is divided into three clusters and mutation operation on the cluster within individuals, not only improves the convergence speed and ensure the performance of the algorithm. Experiments show that the improved algorithm has the characteristics of strong optimization capability and performance is improved greatly in whether comparison of the baseline function or analysis of universal database, compared with the other two algorithms have obvious advantages.
Fast Convergence and Improved Particle Swarm Hybrid Optimization Algorithm
Li Yi-ran,Zhang Chun-na 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.8
Aiming at the problem that the particle in the traditional particle swarm optimization algorithm is easy to fall into the local optimum and the convergence rate is slow, this paper proposed an improved particle swarm optimization algorithm. In particle swarm optimization algorithm, the advantages and disadvantages of the algorithm is directly decided by the performance of the particle, the paper introduced the chaos mechanism, enhance the ergodicity and particle will be quantized in the solution space, on the premise of ensuring diversity of solution, the particle get better global search ability. Meanwhile, based on the problem of slow convergence speed of the algorithm in the late, on the one hand to dynamically adjust the inertia weight of impact speed, makes the particle movement speed tend to be reasonable, on the other hand, using k-means algorithm to optimize progeny particle and get more reasonable clustering center, make the algorithm fast convergence. Experiments show that using improved Particle Swarm Optimization algorithm with high precision, strong stability and fast convergence.