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| 1 | 3种乳制品对低免疫力模型斑马鱼免疫功能的影响显示文摘目的:研究3种乳制品对长春瑞滨(一种半合成的长春花生物碱)诱导的低免疫力斑马鱼免疫功能的调节作用。方法:分别给斑马鱼静脉注射0.2 mg/mL酒石酸长春瑞滨注射液诱导低免疫力模型,按照随机法将斑马鱼随机分为正常对照组、模型对照组、低温酸奶组(8333μg/mL)、常温纯牛奶组(70.4μL/mL)、冷冻酸奶冰淇淋组(33333μg/mL),每组30尾。利用荧光显微镜观察并分析3种乳制品对低免疫力斑马鱼的巨噬细胞数量、巨噬细胞吞噬功能,以及T淋巴细胞数量的影响。结果:与正常对照组比较,模型对照组巨噬细胞数量显著降低、巨噬细胞吞噬功能减弱、T细胞数量高度显著降低(P<0.001)。与模型对照组比较,给予低温酸奶、常温纯牛奶和冷冻酸奶冰淇淋后巨噬细胞和T淋巴细胞的数量均显著增加(P<0.05、P<0.01和P<0.001);常温纯牛奶和冷冻酸奶冰淇淋均能显著增强巨噬细胞吞噬能力(P<0.05),低温酸奶对巨噬细胞吞噬功能的无显著促进作用。与低温酸奶比较,常温纯牛奶巨噬细胞数量显著提高(P<0.05),但T细胞数量和巨噬细胞吞噬功能无显著性差异(P>0.05);冷冻酸奶冰淇淋组巨噬细胞数量、T淋巴细胞数量、巨噬细胞吞噬功能均无显著性差异(P>0.05)。结论:低温酸奶、常温纯牛奶和冷冻酸奶冰淇淋可以通过增加巨噬细胞、T淋巴细胞的数量,改善巨噬细胞的吞噬能力,从而提高长春瑞滨诱发的低免疫力斑马鱼的免疫功能。 | 史珅 李昊虬 王龙 李楠 谭圣杰 刘华 彭桂英 李亚兰 张冲 FENG HAOTIAN | 2022 | 食品科学2022，43，11： | 3 |
| 2 | Microstructure evolution and deformation mechanism of amorphous/crystalline high-entropy-alloy composites显示文摘High-entropy amorphous alloys present high hardness,but low tensile ductility.Here,deformation behavior of the amorphous/crystalline Fe Co Cr Ni high-entropy alloy(HEA)composite prepared by the previous experiment is investigated using atomic simulations.The result shows the partial dislocations in the crystal HEA layer,and the formation of shear bands in the amorphous HEA layer occurs after yielding.The strength of the amorphous/crystalline HEA composite reduces with increasing the thickness of the amorphous layer,agreeing with the previous experiments.The coupled interaction between the crystal plasticity and amorphous plasticity in amorphous/crystalline HEA composites results in a more homogeneous redistribution of plastic deformation to cause interface hardening,due to the complex stress field in the amorphous layer.The current findings provide the insight into the deformation behavior of the amorphous/crystalline HEA composite at the nanoscale,which are useful for optimizing the structure of the HEA composite with high strength and good plasticity. | Jia Li Haotian Chen Hui Feng Qihong Fang Yong Liu Feng Liu Hong Wu Peter K Liaw | 2020 | Journal of Materials Science & Technology2020，54，19： | 2 |
| 3 | Microstructure and Texture Evolution of Fe-33Mn-3Si-3Al TWIP Steel on Strain显示文摘The microstructure and texture evolution of Fe-33Mn-3Si-3Al twinning induced plasticity(TWIP) steel were studied by the scanning electron microscope(SEM) and X-ray diffraction(XRD) at room temperature. After quasi-static tensile, the texture evolution of different strain was observed. It was shown that the Goss and Brass components increased within the strain range of less than 0.6. Whereas, the main components were decreased when the strain levels were greater than 0.6. This behavior was attributed to the low stacking fault energy(SFE) and was related to the strain energy of this high manganese steel. At high strain levels, the high strain energy may contribute to the Brass components transition to the A(rot-Brass) components. | 胡洋阳 苏钰 FENG Xiaoxiao CUI Haotian LI Jun | 2019 | Journal of Wuhan University of Technology(Materials Science)2019，34，1： | 1 |
| 4 | Fructus ligustri lucidi Ethanol Extract Improves Bone Mineral Density and Properties Through Modulating Calcium Absorption-Related Gene Expression in Kidney and Duodenum of Growing Rats显示文摘 | Xin Feng Ying Lyu Zhenghao Wu Yuehui Fang Hao Xu Pengling Zhao Yajun Xu Haotian Feng | 2014 | Calcified Tissue International2014，，4： | 1 |
| 5 | Laser direct writing derived robust carbon nitride films with efficient photon-to-electron conversion for multifunctional photoelectrical applications显示文摘Carbon nitride,an emerging polymeric semiconductor,has attracted attention in research ranging from photocatalysis to photodetection due to its favorable visible light response and high physicochemical stability.For its practical device application,the fabrication of high-quality carbon nitride films on substrates is essential.However,conventional methodologies to achieve high polymerization of carbon nitride are often accompanied by its decomposition,significantly compromising the film quality.Herein,we report an ultrafast fabrication of carbon nitride film by laser direct writing(LDW).The instantaneous high temperature and pressure during LDW can efficiently boost the polymerization of carbon nitride and suppress its decomposition,resulting in high-quality carbon nitride film with excellent mechanical stability with the substrate.Due to the efficient photon-to-electron conversion,it exhibits an outstanding photoelectrochemical water splitting and optoelectronic detection capability,even under strong acid/alkaline conditions.This study thus offers a facile and efficient LDW strategy for the rapid fabrication of carbon nitride film photoelectrodes,demonstrating its great feasibility in multifunctional photoelectrical applications,including but not limited to photoelectrochemical water splitting and optoelectronic detection. | Haotian Tan Wenping Si Wei Peng Yuqing Wang Daolan Liu Liqun Wang Chongyun Jiang Lu Di Ji Liang Feng Hou | 2022 | Carbon Energy2022，4，6： | 1 |
| 6 | Clinical and Experimental Research of Corneal Lymphangiogenesis after Keratoplasty显示文摘 | Ling Shiqi Lin Haotian Xiang Daoman Feng Guangqiang Zhang Xuefei | 2008 | Ophthalmologica2008，，5： | 1 |
| 7 | Audio Mixing Inversion via Embodied Self-supervised Learning显示文摘Audio mixing is a crucial part of music production.For analyzing or recreating audio mixing,it is of great importance to conduct research on estimating mixing parameters used to create mixdowns from music recordings,i.e.,audio mixing inversion.However,approaches of audio mixing inversion are rarely explored.A method of estimating mixing parameters from raw tracks and a stereo mixdown via embodied self-supervised learning is presented.In this work,several commonly used audio effects including gain,pan,equalization,reverb,and compression,are taken into consideration.This method is able to learn an inference neural network that takes a stereo mixdown and the raw audio sources as input and estimate mixing parameters used to create the mixdown by iteratively sampling and training.During the sampling step,the inference network predicts a set of mixing parameters,which is sampled and fed to an audio-processing framework to generate audio data for the training step.During the training step,the same network used in the sampling step is optimized with the sampled data generated from the sampling step.This method is able to explicitly model the mixing process in an interpretable way instead of using a black-box neural network model.A set of objective measures are used for evaluation.The experimental results show that this method has better performance than current state-of-the-art methods. | Haotian Zhou Feng Yu Xihong Wu | 2024 | Machine Intelligence Research2024，21，1： | 0 |
| 8 | Micro-seismic Event Detection of Hot Dry Rock based on the Gated Recurrent Unit Model and a Support Vector Machine显示文摘Micro-seismic monitoring is one of the most critical technologies that guide hydraulic fracturing in hot dry rock resource development. Micro-seismic monitoring requires high precision detection of micro-seismic events with a low signal-to-noise ratio. Because of this requirement, we propose a recurrent neural network model named gated recurrent unit and support vector machine(GRU;VM). The proposed model ensures high accuracy while reducing the parameter number and hardware requirement in the training process. Since micro-seismic events in hot dry rock produce large wave amplitudes and strong vibrations, it is difficult to reverse the onset of each individual event. In this study, we utilize a support vector machine(SVM) as a classifier to improve the micro-seismic event detection accuracy. To validate the methodology, we compare the simulation results of the short-term-average to the long-term-average(STA/LTA) method with GRU;VM method by using hot dry rock micro-seismic event data in Qinghai Province, China. Our proposed method has an accuracy of about 95% for identifying micro-seismic events with low signal-to-noise ratios. By ignoring smaller micro-seismic events, the detection procedure can be processed more efficiently, which is able to provide a real-time observation on the types of hydraulic fracturing in the reservoirs. | SUN Feng HU Haotian ZHAO Fa YANG Xinran CHEN Zubin WU Haidong ZHANG Linyou | 2021 | Acta Geologica Sinica(English Edition)2021，95，6： | 0 |
| 9 | Anti-catabolic effect of caffeic acid phenethyl ester, an active component of honeybee propolis on bone loss in ovariectomized mice: a micro-computed tomography study and histological analysis显示文摘 | Duan Wangping Wang Qing Li Fang Xiang Chuan Zhou Lin Xu Jiake Feng Haotian Wei Xiaochun | 2014 | Chinese Medical Journal2014，，22： | 0 |
| 10 | Formation process and mechanical properties in selective laser melted multi-principal-element alloys显示文摘Additive manufacturing is believed to open up a new era in precise microfabrication,and the dynamic microstructure evolution during the process as well as the experiment-simulation correlated study is conducted on a prototype multi-principal-element alloys FeCrNi fabricated using selective laser melting(SLM).Experimental results reveal that columnar crystals grow across the cladding layers and the dense cellular structures develop in the filled crystal.At the micron scale,all constituent elements are evenly distributed,while at the near-atomic scale,Cr element is obviously segregated.Simulation results at the atomic scale illustrate that i)the solid-liquid interface during the grain growth changes from horizontal to arc due to the radial temperature gradient;ii)the precipitates,microscale voids,and stacking faults also form dynamically as a result of the thermal gradient,leading to the residual stress in the SLMed structure.In addition,we established a microstructure-based physical model based on atomic simulation,which indicates that strong interface strengthening exists in the tensile deformation.The present work provides an atomic-scale understanding of the microstructural evolution in the SLM process through the combination of experiment and simulation. | Jing Peng Jia Li Bin Liu Jian Wang Haotian Chen Hui Feng Xin Zeng Heng Duan Yuankui Cao Junyang He Peter K.Liaw Qihong Fang | 2023 | Journal of Materials Science & Technology2023，，2： | 0 |
| 11 | Research on combustion characteristics of scramjet combustor with different flight dynamic pressure conditions显示文摘Combustion characteristics in a scramjet combustor equipped with a thin strut were observed and discussed in this paper.A series of numerical simulations were carried out under different flight dynamic pressure conditions.The parameters of cold flow field and combustion field were used to analyze the combustion characteristics.Based on the basic data,the mixing efficiency,characteristics of flame establishment and propagation as well as combustion field characteristics were discussed in this paper.The influence laws of lower dynamic pressure conditions were further revealed to optimize combustor performance.Results indicated that properly reducing the flight dynamic pressure can enhance the mixing of kerosene.The diffusion of kerosene determined the distribution of combustion zone and heat release.Then,the influencing factor that affected the chemical reaction rate was revealed to shorten chemical reaction time.And the higher flight Mach number made the flame propagation velocity faster and the combustion stability stronger.The fuel mixing became the main factor and low dynamic pressure had little effect on laminar flame propagation velocity under high Mach number conditions.The investigations in this paper are helpful for understanding the combustion characteristics under low dynamic pressure conditions. | Junlong Zhang Guangjun Feng Haotian Bai Kangshuai Lv Wen Bao | 2023 | Propulsion and Power Research2023，12，1： | 0 |
| 12 | A novel strategy for treating oncogene-mutated tumors by targeting tumor microenvironment and synergistically enhancing anti-PD-1 immunotherapy显示文摘Oncogenes are critical factors in tumorigenesis of diverse cancer types and play essential roles in tumor immune escape.Mutations in Kirsten rat sarcoma viral oncogene homolog(KRAS)and epidermal growth factor receptor(EGFR)are among the most frequent gain-of-function alterations[1].After many years of in-depth research,inhibitors targeting EGFR or KRAS mutations have been successfully developed,however,their clinical benefit is relatively limited,and they will inevitably encounter the challenge of drug resistance.The emergence of resistance is attributed to secondary mutations in driver genes and other complicated factors. | Yingqiang Liu Linjiang Tong Mengge Zhang Qi Zhang Qiupei Liu Fang Feng Yan Li Mengzhen Lai Haotian Tang Yi Chen Meiyu Geng Wenhu Duan Jian Ding Hua Xie | 2024 | Cancer Communications2024，44，3： | 0 |
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