Results 41 to 50 of about 67,433 (297)

Research on Passive Q-switching Large-Energy near Infrared and Red Fiber Lasers with Nano-Materials [PDF]

open access: yes, 2016
脉冲光纤激光器可广泛应用于工业、医疗和科研等领域,锁模和调Q为光纤激光器中实现脉冲操作的常见技术。锁模技术对光纤激光器腔体的增益、损耗和色散以及可饱和吸收体(SA)的性能都有一定的要求,对比之下,调Q技术的要求较低,往往更易实现。近年来,基于石墨烯等新型纳米材料的调Q技术受到了极大的关注。相比于传统的半导体可饱和吸收镜(SESAM)和碳纳米管,新型纳米材料具有诸如高度光纤兼容性、大调制深度、超快恢复时间和独特的超宽带可饱和吸收特性等优点。因此,新型纳米材料SAs已被广泛应用于各种光纤激光器中实现调Q操作。
吴端端
core  

Gravity‐Driven Inclination Sensor Based on Liquid Metal Interface Migration in Anisotropic Microchannels for Information Transmission and Continuous Surface Topography Scanning

open access: yesRare Metals, EarlyView.
ABSTRACT With the continuous advancement of materials science and technology, the rare metal gallium has increasingly emerged as a promising alternative to the toxic metal mercury. Although existing research has predominantly focused on the high electrical conductivity and excellent deformability of liquid metal (LM), its intrinsic fluidic property ...
Feifan Guo   +6 more
wiley   +1 more source

Selective Isolation, Identification and Biological Activity Investigation of Rare Actinomycetes from Rhizosphere Soil [PDF]

open access: yes, 2016
天然产物是新药制备的重要原料,绝大多数来源于微生物的天然产物都分离自放线菌,尤其是链霉菌。链霉菌是放线菌的重要组成成员,能合成结构类型丰富、生物活性多样的次级代谢产物,可用于创制抗生素、抗肿瘤药物、免疫抑制药物、抗虫药物等,在医疗、农业、食品等领域具有重要的应用价值。然而,随着对链霉菌持续的开发利用,目前从链霉菌中发现新型、高活性的次级代谢产物的几率在不断下降,来源于链霉菌的新药研发速度明显放缓。为了解决链霉菌活性次级代谢产物资源日趋枯竭的问题 ...
施金迪
core  

Dissolution‐Controlled Phase Separation of Cs+/Rb+ in High‐Salinity Brines via All‐Inorganic Prussian Blue Analogs

open access: yesRare Metals, EarlyView.
ABSTRACT The similar physicochemical properties of alkali metal elements make the co‐enrichment and precise separation of Cs+ and Rb+ in complex brine systems highly challenging. Here, an all‐inorganic strategy is proposed, which achieves efficient enrichment and precise separation of Cs+ and Rb+ in high‐salt systems by constructing Sr2+/Ba2+‐based ...
Kang Li, Ruixin Ma, Shina Li
wiley   +1 more source

空间结构抗火性能研究进展

open access: yesJianzhu Gangjiegou Jinzhan, 2009
火灾高温对结构材料力学性能有显著影响,会导致结构发生破坏,甚至整体倒塌。随着现代建筑技术的发展,空间结构的抗火性能研究越来越受到学术界和工程师们的重视。本文介绍了结构抗火研究的理论基础和相关概念;综述了结构抗火的研究状况;阐述了近年来空间结构抗火研究的进展情况;探讨了空间结构抗火研究存在的主要问题;对空间结构抗火研究趋势进行了展望,提出了目前空间结构抗火研究亟待解决的关键问题。
薛素铎, 邱林波, 冯淼
doaj  

MXene‐Based Electromagnetic Attenuation Materials in Microwave and Terahertz Bands

open access: yesRare Metals, EarlyView.
ABSTRACT MXenes exhibit considerable potential for developing high‐performance electromagnetic (EM) shielding and absorption materials operating across microwave and terahertz frequencies, due to their tunable surface chemistry and exceptional charge carrier transport properties.
Guozheng Zhang   +9 more
wiley   +1 more source

The simulation of Madden-Julian Oscillation and the optimal forecast error analysis [PDF]

open access: yes, 2016
热带季节内振荡(在大气中以Madden-JulianOscillation为主,以下简称MJO),是全球季节内尺度预报的最主要信号来源,在天气气候系统的预报中起着非常重要的作用。作为目前发现的全球最强的季节内准周期信号,国内外普遍认为MJO的预报是联系数值天气预报和季节预报的桥梁,能够填补中期预报与短期气候预测之间的延伸期预报时段的“缝隙”。自20世纪70年代Madden和Julian提出以来,MJO现已在国际上获得了广泛关注,其机理研究和预报开展已经成为了全球气候研究的热门方向之一 ...
李晓静
core  

FoxO3 Inactivation Promotes Human Cholangiocarcinoma Tumorigenesis and Chemoresistance through Keap1-Nrf2 Signaling [PDF]

open access: yes, 2016
许多人类肿瘤中存在PI3K/AKT过度激活,然而该通路的异常导致肿瘤形成的分子机理仍未充分阐明。FoxOs是受PI3K/AKT负向调控的转录因子,与肿瘤形成密切相关,但对于FoxOs调控肿瘤生长的机制尚不十分清楚。胆管癌是一类起源于胆道上皮细胞的恶性肿瘤,胆管癌患者对化疗敏感性差,但耐药机理尚未充分阐明。Nrf2的激活与胆管癌耐药性及病人不良预后密切相关。高度激活的PI3K/AKT能够激活Nrf2信号通路,但其中具体的分子机制尚不清楚。Keap1是连接Nrf2与Cul3的衔接蛋白 ...
管丽
core   +1 more source

Giant Tunability of Individual Magnetic Skyrmion Size via an Oscillating Local Magnetic Field

open access: yesRare Metals, EarlyView.
ABSTRACT Magnetic skyrmions hold great promise as memory and computing elements in future spintronic devices. Despite the demonstration of various devices, techniques for addressable and high‐precision manipulation of individual skyrmions remain scarce.
Cai‐Hong Xie   +13 more
wiley   +1 more source

面向可解释性人工智能与大数据的模糊系统发展展望

open access: yes智能科学与技术学报, 2019
模糊系统作为一种万能逼近器具有很强的可解释性,已被广泛应用在各个领域。尽管目前模糊系统的理论研究不够成熟,仍然存在诸如规则太多、优化困难、维度诅咒等问题,难以处理高维大数据。尽管深度神经网络取得了突出进展,能很好处理图像和语音等大数据,但其可解释性不好,难以用于安全相关的重要场合。因此,非常有必要研究一种基于模糊系统的可解释性强的人工智能算法。结合深度神经网络和模糊系统两者的优点,研究深度模糊系统及其算法,将有可能解决高维大数据问题。主要对模糊系统的发展历程与研究进展分别进行详细阐述 ...
陈德旺, 蔡际杰, 黄允浒
doaj  

Home - About - Disclaimer - Privacy