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| 1 | Pluripotent stem cells induced from mouse neural stem cells and small intestinal epithelial cells by small molecule compounds显示文摘最近,我们报导了一条化学途径从老鼠成纤维细胞产生 pluripotent 干细胞。然而,是否化学上导致了 pluripotent 干细胞(CiPSCs ) ,能从要示威的另外的房间类型遗体被导出。用系跟踪,这里,我们首先从成纤维细胞验证 CiPSCs 的产生。下次,我们证明从外胚层的神经干细胞(NSC ) 和从内胚叶的小肠的上皮的房间(IEC ) 能是化学上 reprogrammed 进 pluripotent 干细胞。CiPSCs 源于 NSC 和 IEC 类似于老鼠处于增长率,全球基因表示侧面, epigenetic 地位,自强和区别能力的胚胎的干细胞,和 germline 传播才能。有趣地, pluripotency 基因 Sall4 从不同房间类型,和一样的核心在化学 reprogramming 过程在起始的阶段被表示小分子为 reprogramming 被要求,在从这些多样的房间类型位于化学 reprogramming 下面的分子的机制建议保存。我们的分析也证明这些小分子的使用应该被调整从不同房间类型满足 reprogramming 的要求。一起,这些调查结果证明那条完整的化学 reprogramming 途径能在不同织物起源的房间被使用并且建议化学 reprogramming 是有要延长到更起始的类型的潜力的有希望的策略。 | Junqing Ye Jian Ge Xu Zhang Lin Cheng Zhengyuan Zhang Shan He Yuping Wang Hua Lin Weifeng Yang Junfang Liu Yang Zhao Hongkui Deng | 2016 | Cell Research2016，26，1： | 19 |
| 2 | Prevalence, risk factors, and survival associated with pulmonary hypertension and heart failure among patients with underlying coronary artery disease: a national prospective, multicenter registry study in China显示文摘Background: Coronary artery disease (CAD) is the commonest cause of heart failure (HF), whereas pulmonary hypertension (PH) has not been established or reported in this patient population. Therefore, we assessed the prevalence, risk factors, and survival in CAD-associated HF (CAD-HF) complicated with PH.Methods: Symptomatic CAD-HF patients were continuously enrolled in this prospective, multicenter registry study. Echocardiography, coronary arteriography, left and right heart catheterization (RHC), and other baseline clinical data were recorded. Patients were followed up and their survival was recorded.Results: One hundred and eighty-two CAD-HF patients were enrolled, including 142 with HF with a preserved ejection fraction (heart failure with preserved ejection fraction [HFpEF];left ventricular ejection fraction [LVEF] ≥50%) and 40 with a reduced ejection fraction (heart failure with reduced ejection fraction [HFrEF];LVEF < 50%). PH was diagnosed with RHC in 77.5% of patients. Patients with PH showed worse hemodynamic parameters and higher mortality. HFrEF-PH patients had worse survival than HFpEF-PH patients. CAD-HF patients with an enlarged left ventricular end-diastolic diameter and reduced hemoglobin were at higher risk of PH. Nitrate treatment reduced the risk of PH. Elevated creatinine and mean pulmonary arterial pressure (mPAP), diastolic pressure gradient (DPG) ≥7 mmHg, and previous myocardial infarction (MI) entailed a higher risk of mortality in CAD-HF patients with PH.Conclusions: PH is common in CAD-HF and worsens the hemodynamics and survival in these patients. Left ventricle enlargement and anemia increase the risk of PH in CAD-HF. Patients may benefit from nitrate medications. Renal impairment, elevated mPAP, DPG ≥7 mmHg, and previous MI are strong predictors of mortality in CAD-HF-PH patients.Trial Registration: ClinicalTrials.gov, NCT02164526. | Li Huang Lingpin Pang Qing Gu Tao Yang Wen Li Ruilin Quan Weiqing Su Weifeng Wu Fangming Tang Xiulong Zhu Jieyan Shen Jingzhi Sun Guangliang Shan Changming Xiong Shian Huang Jianguo He | 2022 | Chinese Medical Journal2022，，15： | 4 |
| 3 | Isolation and characterization of Toxoplasma gondii strains from stray cats revealed a single genotype in Beijing, China显示文摘 | Weifeng Qian Hui Wang Chunlei Su Dan Shan Xia Cui Na Yang Chaochao Lv Qun Liu | 2012 | Veterinary Parasitology (-)2012，，3： | 2 |
| 4 | GCDPIot: An extensible Microsoft Excel VBA program for geochemical discrimi- nation diagrams 显示文摘 | Wang Xiaorui Ma Weifeng Gao Shan | 2008 | Computers & Geosciences2008，34，： | 1 |
| 5 | Multi-strategies Boosted Mutative Crow Search Algorithm for Global Tasks:Cases of Continuous and Discrete Optimization显示文摘Crow Search Algorithm(CSA)is a swarm-based single-objective optimizer proposed in recent years,which tried to inspire the behavior of crows that hide foods in different locations and retrieve them when needed.The original version of the CSA has simple parameters and moderate performance.However,it often tends to converge slowly or get stuck in a locally optimal region due to a missed harmonizing strategy during the exploitation and exploration phases.Therefore,strategies of mutation and crisscross are combined into CSA(CCMSCSA)in this paper to improve the performance and provide an efficient optimizer for various optimization problems.To verify the superiority of CCMSCSA,a set of comparisons has been performed reasonably with some well-established metaheuristics and advanced metaheuristics on 15 benchmark functions.The experimental results expose and verify that the proposed CCMSCSA has meaningfully improved the convergence speed and the ability to jump out of the local optimum.In addition,the scalability of CCMSCSA is analyzed,and the algorithm is applied to several engineering problems in a constrained space and feature selection problems.Experimental results show that the scalability of CCMSCSA has been significantly improved and can find better solutions than its competitors when dealing with combinatorial optimization problems.The proposed CCMSCSA performs well in almost all experimental results.Therefore,we hope the researchers can see it as an effective method for solving constrained and unconstrained optimization problems. | Weifeng Shan Hanyu Hu Zhennao Cai Huiling Chen Haijun Liu Maofa Wang Yuntian Teng | 2022 | Journal of Bionic Engineering2022，19，6： | 1 |
| 6 | Dynamic Individual Selection and Crossover Boosted Forensic-based Investigation Algorithm for Global Optimization and Feature Selection显示文摘The advent of Big Data has rendered Machine Learning tasks more intricate as they frequently involve higher-dimensional data.Feature Selection(FS)methods can abate the complexity of the data and enhance the accuracy,generalizability,and interpretability of models.Meta-heuristic algorithms are often utilized for FS tasks due to their low requirements and efficient performance.This paper introduces an augmented Forensic-Based Investigation algorithm(DCFBI)that incorporates a Dynamic Individual Selection(DIS)and crisscross(CC)mechanism to improve the pursuit phase of the FBI.Moreover,a binary version of DCFBI(BDCFBI)is applied to FS.Experiments conducted on IEEE CEC 2017 with other metaheuristics demonstrate that DCFBI surpasses them in search capability.The influence of different mechanisms on the original FBI is analyzed on benchmark functions,while its scalability is verified by comparing it with the original FBI on benchmarks with varied dimensions.BDCFBI is then applied to 18 real datasets from the UCI machine learning database and the Wieslaw dataset to select near-optimal features,which are then compared with six renowned binary metaheuristics.The results show that BDCFBI can be more competitive than similar methods and acquire a subset of features with superior classification accuracy. | Hanyu Hu Weifeng Shan Jun Chen Lili Xing Ali Asghar Heidari Huiling Chen Xinxin He Maofa Wang | 2023 | Journal of Bionic Engineering2023，20，5： | 0 |
| 7 | Simulation on Peak-to-Average Power Ratio for Orthogonal Frequency Division Multiplexing显示文摘Clipping is a simple and convenient PAPR (peak-to-average power ratio) reduction method for high speed OFDM (orthogonal frequency division multiplexing) communication system. In this paper, we propose a new PAPR reduction method for Wireless-MAN(metropolitan area network)-OFDM system based on IEEE 802.16, which is over-sampling clipping arithmetic. Simulation and performance of the over-samples clipping’s PAPR reduction capability, BER effect is given. The simulation indicates that the PAPR of at least 99.9% OFDM symbol is below 6dB after 2 Nyquist rate clipping, and the performance of BER has 1dB SNR(signal noise ratio) loss. The results prove that this method has better capacity to reducing PAPR. So it can be well used in WMAN-OFDM system. | SHAN Weifeng MENG Baohong LIU Ningning LI Hui ZHANG Hongwei | 2006 | Wuhan University Journal of Natural Sciences2006，11，6： | 0 |
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