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IEA发布报告《净零转型中的石油和天然气行业》 快报文章
地球科学快报，2023年第23期
作者:  刘学
Microsoft Word(19Kb)  |  收藏  |  浏览/下载：499/0  |  提交时间：2023/12/10
IEA  Oil and Gas Industry  Net Zero Transitions  
澳大利亚发布工业能源转型行动计划 快报文章
气候变化快报，2023年第06期
作者:  董利苹
Microsoft Word(17Kb)  |  收藏  |  浏览/下载：561/0  |  提交时间：2023/03/20
Australian  Industry Energy Transitions Initiative  Industrial Decarbonisation  
EEA发布《欧洲的城市可持续性——大流行后环境转型的驱动因素》 快报文章
资源环境快报，2022年第20期
作者:  魏艳红
Microsoft Word(36Kb)  |  收藏  |  浏览/下载：633/1  |  提交时间：2022/10/31
EEA  Urban Sustainability  Environmental Transitions  
国际能源署发布《清洁能源转型的安全性2022》报告 快报文章
气候变化快报，2022年第18期
作者:  秦冰雪
Microsoft Word(16Kb)  |  收藏  |  浏览/下载：710/0  |  提交时间：2022/09/20
Clean Energy Transitions  Security  
IRENA发布《2022年世界能源转型展望》 快报文章
地球科学快报，2022年第07期
作者:  刘学
Microsoft Word(25Kb)  |  收藏  |  浏览/下载：864/0  |  提交时间：2022/04/08
Energy Transitions  renewable energy  energy efficiency  hydrogen  
IEA为发展中经济体加速清洁能源转型融资提出建议 快报文章
气候变化快报，2021年第12期
作者:  董利苹
Microsoft Word(17Kb)  |  收藏  |  浏览/下载：450/0  |  提交时间：2021/06/21
World Energy Investment  Emerging and Developing Economies  Financing Clean Energy Transitions  
Chair’s Summary for IEA Clean Energy Transitions Summit 科技报告
来源：https://iea.blob.core.windows.net/assets/b33a25f6-7aaa-4fc4-a697-d87916842fd4/CETSummit2020ChairSummary.pdf
作者:  王立伟
收藏  |  浏览/下载：14/0  |  提交时间：2020/07/15
Clean Energy  Transitions  
Localization and delocalization of light in photonic moire lattices 期刊论文
NATURE, 2020, 577 (7788) : 42-+
作者:  Wang, Peng;  Zheng, Yuanlin;  Chen, Xianfeng;  Huang, Changming;  Kartashov, Yaroslav V.;  Torner, Lluis;  Konotop, Vladimir V.;  Ye, Fangwei
收藏  |  浏览/下载：11/0  |  提交时间：2020/07/03

Moire lattices consist of two superimposed identical periodic structures with a relative rotation angle. Moire lattices have several applications in everyday life, including artistic design, the textile industry, architecture, image processing, metrology and interferometry. For scientific studies, they have been produced using coupled graphene-hexagonal boron nitride monolayers(1,2), graphene-graphene layers(3,4) and graphene quasicrystals on a silicon carbide surface(5). The recent surge of interest in moire lattices arises from the possibility of exploring many salient physical phenomena in such systems  examples include commensurable-incommensurable transitions and topological defects(2), the emergence of insulating states owing to band flattening(3,6), unconventional superconductivity(4) controlled by the rotation angle(7,8), the quantum Hall effect(9), the realization of non-Abelian gauge potentials(10) and the appearance of quasicrystals at special rotation angles(11). A fundamental question that remains unexplored concerns the evolution of waves in the potentials defined by moire lattices. Here we experimentally create two-dimensional photonic moire lattices, which-unlike their material counterparts-have readily controllable parameters and symmetry, allowing us to explore transitions between structures with fundamentally different geometries (periodic, general aperiodic and quasicrystal). We observe localization of light in deterministic linear lattices that is based on flatband physics(6), in contrast to previous schemes based on light diffusion in optical quasicrystals(12), where disorder is required(13) for the onset of Anderson localization(14) (that is, wave localization in random media). Using commensurable and incommensurable moire patterns, we experimentally demonstrate the twodimensional localization-delocalization transition of light. Moire lattices may feature an almost arbitrary geometry that is consistent with the crystallographic symmetry groups of the sublattices, and therefore afford a powerful tool for controlling the properties of light patterns and exploring the physics of periodic-aperiodic phase transitions and two-dimensional wavepacket phenomena relevant to several areas of science, including optics, acoustics, condensed matter and atomic physics.


  
Internal state dynamics shape brainwide activity and foraging behaviour 期刊论文
NATURE, 2020, 577 (7789) : 239-+
作者:  Marques, Joao C.;  Li, Meng;  Schaak, Diane;  Robson, Drew N.;  Li, Jennifer M.
收藏  |  浏览/下载：5/0  |  提交时间：2020/07/03

The brain has persistent internal states that can modulate every aspect of an animal'  s mental experience(1-4). In complex tasks such as foraging, the internal state is dynamic(5-8). Caenorhabditis elegans alternate between local search and global dispersal(5). Rodents and primates exhibit trade-offs between exploitation and exploration(6,7). However, fundamental questions remain about how persistent states are maintained in the brain, which upstream networks drive state transitions and how state-encoding neurons exert neuromodulatory effects on sensory perception and decision-making to govern appropriate behaviour. Here, using tracking microscopy to monitor whole-brain neuronal activity at cellular resolution in freely moving zebrafish larvae(9), we show that zebrafish spontaneously alternate between two persistent internal states during foraging for live prey (Paramecia). In the exploitation state, the animal inhibits locomotion and promotes hunting, generating small, localized trajectories. In the exploration state, the animal promotes locomotion and suppresses hunting, generating long-ranging trajectories that enhance spatial dispersion. We uncover a dorsal raphe subpopulation with persistent activity that robustly encodes the exploitation state. The exploitation-state-encoding neurons, together with a multimodal trigger network that is associated with state transitions, form a stochastically activated nonlinear dynamical system. The activity of this oscillatory network correlates with a global retuning of sensorimotor transformations during foraging that leads to marked changes in both the motivation to hunt for prey and the accuracy of motor sequences during hunting. This work reveals an important hidden variable that shapes the temporal structure of motivation and decision-making.


  
Hidden neural states underlie canary song syntax 期刊论文
NATURE, 2020
作者:  Bao, Han;  Duan, Junlei;  Jin, Shenchao;  Lu, Xingda;  Li, Pengxiong;  Qu, Weizhi;  Wang, Mingfeng;  Novikova, Irina;  Mikhailov, Eugeniy E.;  Zhao, Kai-Feng;  Molmer, Klaus;  Shen, Heng;  Xiao, Yanhong
收藏  |  浏览/下载：10/0  |  提交时间：2020/07/03

Neurons in the canary premotor cortex homologue encode past song phrases and transitions, carrying information relevant to future choice of phrases as '  hidden states'  during song.


Coordinated skills such as speech or dance involve sequences of actions that follow syntactic rules in which transitions between elements depend on the identities and order of past actions. Canary songs consist of repeated syllables called phrases, and the ordering of these phrases follows long-range rules(1)in which the choice of what to sing depends on the song structure many seconds prior. The neural substrates that support these long-range correlations are unknown. Here, using miniature head-mounted microscopes and cell-type-specific genetic tools, we observed neural activity in the premotor nucleus HVC(2-4)as canaries explored various phrase sequences in their repertoire. We identified neurons that encode past transitions, extending over four phrases and spanning up to four seconds and forty syllables. These neurons preferentially encode past actions rather than future actions, can reflect more than one song history, and are active mostly during the rare phrases that involve history-dependent transitions in song. These findings demonstrate that the dynamics of HVC include '  hidden states'  that are not reflected in ongoing behaviour but rather carry information about prior actions. These states provide a possible substrate for the control of syntax transitions governed by long-range rules.