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Geometry of the ideal free distribution: individual behavioural variation and annual reproductive success in aggregations of a social ungulate 期刊论文
ECOLOGY LETTERS, 2020
作者:  Bonar, Maegwin;  Lewis, Keith P.;  Webber, Quinn M. R.;  Dobbin, Maria;  Laforge, Michel P.;  Vander Wal, Eric
收藏  |  浏览/下载:10/0  |  提交时间:2020/07/06
Aggregation  calf survival  caribou  geometry of the selfish herd  ideal free distribution  nearest neighbour  repeatability  reproductive success  social environment  
Dissociation of salts in water under pressure 期刊论文
NATURE COMMUNICATIONS, 2020, 11 (1)
作者:  Zhang, Cunzhi;  Giberti, Federico;  Sevgen, Emre;  de Pablo, Juan J.;  Gygi, Francois;  Galli, Giulia
收藏  |  浏览/下载:4/0  |  提交时间:2020/06/22
An Alternative BEM for Simulating the Flow Behavior of a Leaky Confined Fractured Aquifer With the Use of the Semianalytical Approach 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Luo, Wanjing;  Wang, Junlei;  Wang, Lei;  Zhou, Y.
收藏  |  浏览/下载:7/0  |  提交时间:2020/07/02
boundary element method  continuously confined fractured aquifer  discretely confined fractured aquifer  Green'  s function  transient flow behavior  
Holder-Conditioned Hypsometry: A Refinement to a Classical Approach for the Characterization of Topography 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Keylock, Christopher J.;  Singh, Arvind;  Passalacqua, Paola;  Foufoula-Georgiate, Efi
收藏  |  浏览/下载:20/0  |  提交时间:2020/05/13
Geomorphology  Hypsometry  Multifractal analysis  Holder exponent  Digital Elevation Model  Terrain Characterization  
Challenges in Applying Machine Learning Models for Hydrological Inference: A Case Study for Flooding Events Across Germany 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (5)
作者:  Schmidt, Lennart;  Hesse, Falk;  Attinger, Sabine;  Kumar, Rohini
收藏  |  浏览/下载:7/0  |  提交时间:2020/05/13
machine learning  inference  floods  
Exploring dynamical phase transitions with cold atoms in an optical cavity 期刊论文
NATURE, 2020, 580 (7805) : 602-+
作者:  Halbach, Rebecca;  Miesen, Pascal;  Joosten, Joep;  Taskopru, Ezgi;  Rondeel, Inge;  Pennings, Bas;  Vogels, Chantal B. F.;  Merkling, Sarah H.;  Koenraadt, Constantianus J.;  Lambrechts, Louis;  van Rij, Ronald P.
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

Interactions between light and an ensemble of strontium atoms in an optical cavity can serve as a testbed for studying dynamical phase transitions, which are currently not well understood.


Interactions between atoms and light in optical cavities provide a means of investigating collective (many-body) quantum physics in controlled environments. Such ensembles of atoms in cavities have been proposed for studying collective quantum spin models, where the atomic internal levels mimic a spin degree of freedom and interact through long-range interactions tunable by changing the cavity parameters(1-4). Non-classical steady-state phases arising from the interplay between atom-light interactions and dissipation of light from the cavity have previously been investigated(5-11). These systems also offer the opportunity to study dynamical phases of matter that are precluded from existence at equilibrium but can be stabilized by driving a system out of equilibrium(12-16), as demonstrated by recent experiments(17-22). These phases can also display universal behaviours akin to standard equilibrium phase transitions(8,23,24). Here, we use an ensemble of about a million strontium-88 atoms in an optical cavity to simulate a collective Lipkin-Meshkov-Glick model(25,26), an iconic model in quantum magnetism, and report the observation of distinct dynamical phases of matter in this system. Our system allows us to probe the dependence of dynamical phase transitions on system size, initial state and other parameters. These observations can be linked to similar dynamical phases in related systems, including the Josephson effect in superfluid helium(27), or coupled atomic(28) and solid-state polariton(29) condensates. The system itself offers potential for generation of metrologically useful entangled states in optical transitions, which could permit quantum enhancement in state-of-the-art atomic clocks(30,31).


  
Feedback generates a second receptive field in neurons of the visual cortex 期刊论文
NATURE, 2020
作者:  Shi, Enzheng;  Yuan, Biao;  Shiring, Stephen B.;  Gao, Yao;  Akriti;  Guo, Yunfan;  Su, Cong;  Lai, Minliang;  Yang, Peidong;  Kong, Jing;  Savoie, Brett M.;  Yu, Yi;  Dou, Letian
收藏  |  浏览/下载:45/0  |  提交时间:2020/07/03

Animals sense the environment through pathways that link sensory organs to the brain. In the visual system, these feedforward pathways define the classical feedforward receptive field (ffRF), the area in space in which visual stimuli excite a neuron(1). The visual system also uses visual context-the visual scene surrounding a stimulus-to predict the content of the stimulus(2), and accordingly, neurons have been identified that are excited by stimuli outside their ffRF(3-8). However, the mechanisms that generate excitation to stimuli outside the ffRF are unclear. Here we show that feedback projections onto excitatory neurons in the mouse primary visual cortex generate a second receptive field that is driven by stimuli outside the ffRF. The stimulation of this feedback receptive field (fbRF) elicits responses that are slower and are delayed in comparison with those resulting from the stimulation of the ffRF. These responses are preferentially reduced by anaesthesia and by silencing higher visual areas. Feedback inputs from higher visual areas have scattered receptive fields relative to their putative targets in the primary visual cortex, which enables the generation of the fbRF. Neurons with fbRFs are located in cortical layers that receive strong feedback projections and are absent in the main input layer, which is consistent with a laminar processing hierarchy. The observation that large, uniform stimuli-which cover both the fbRF and the ffRF-suppress these responses indicates that the fbRF and the ffRF are mutually antagonistic. Whereas somatostatin-expressing inhibitory neurons are driven by these large stimuli, inhibitory neurons that express parvalbumin and vasoactive intestinal peptide have mutually antagonistic fbRF and ffRF, similar to excitatory neurons. Feedback projections may therefore enable neurons to use context to estimate information that is missing from the ffRF and to report differences in stimulus features across visual space, regardless of whether excitation occurs inside or outside the ffRF. By complementing the ffRF, the fbRF that we identify here could contribute to predictive processing.


Feedback projections onto neurons of the mouse primary visual cortex generate a second excitatory receptive field that is driven by stimuli outside of the classical feedforward receptive field, with responses mediated by higher visual areas.


  
Density Effects at a Concordant Bed Natural River Confluence 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Horna-Munoz, Daniel;  Constantinescu, George;  Rhoads, Bruce;  Lewis, Quinn;  Sukhodolov, Alexander
收藏  |  浏览/下载:4/0  |  提交时间:2020/07/02
river confluences  mixing layers  density effects  
Reformulation of Bayesian Geostatistical Approach on Principal Components 期刊论文
WATER RESOURCES RESEARCH, 2020, 56 (4)
作者:  Zhao, Yue;  Luo, Jian
收藏  |  浏览/下载:5/0  |  提交时间:2020/07/02
geostatistical approach  inverse modeling  principal component  
Operation of a silicon quantum processor unit cell above one kelvin 期刊论文
NATURE, 2020, 580 (7803) : 350-+
作者:  Han, Kyuho;  Pierce, Sarah E.;  Li, Amy;  Spees, Kaitlyn;  Anderson, Grace R.;  Seoane, Jose A.;  Lo, Yuan-Hung;  Dubreuil, Michael;  Olivas, Micah;  Kamber, Roarke A.;  Wainberg, Michael;  Kostyrko, Kaja;  Kelly, Marcus R.;  Yousefi, Maryam;  Simpkins, Scott W.;  Yao, David
收藏  |  浏览/下载:8/0  |  提交时间:2020/07/03

Quantum computers are expected to outperform conventional computers in several important applications, from molecular simulation to search algorithms, once they can be scaled up to large numbers-typically millions-of quantum bits (qubits)(1-3). For most solid-state qubit technologies-for example, those using superconducting circuits or semiconductor spins-scaling poses a considerable challenge because every additional qubit increases the heat generated, whereas the cooling power of dilution refrigerators is severely limited at their operating temperature (less than 100 millikelvin)(4-6). Here we demonstrate the operation of a scalable silicon quantum processor unit cell comprising two qubits confined to quantum dots at about 1.5 kelvin. We achieve this by isolating the quantum dots from the electron reservoir, and then initializing and reading the qubits solely via tunnelling of electrons between the two quantum dots(7-9). We coherently control the qubits using electrically driven spin resonance(10,11) in isotopically enriched silicon(12 28)Si, attaining single-qubit gate fidelities of 98.6 per cent and a coherence time of 2 microseconds during '  hot'  operation, comparable to those of spin qubits in natural silicon at millikelvin temperatures(13-16). Furthermore, we show that the unit cell can be operated at magnetic fields as low as 0.1 tesla, corresponding to a qubit control frequency of 3.5 gigahertz, where the qubit energy is well below the thermal energy. The unit cell constitutes the core building block of a full-scale silicon quantum computer and satisfies layout constraints required by error-correction architectures(8),(17). Our work indicates that a spin-based quantum computer could be operated at increased temperatures in a simple pumped He-4 system (which provides cooling power orders of magnitude higher than that of dilution refrigerators), thus potentially enabling the integration of classical control electronics with the qubit array(18,19).