5,080 research outputs found
Yeast cytochrome c oxidase: a model system to study mitochondrial forms of the haem-copper oxidase superfamily.
The known subunits of yeast mitochondrial cytochrome c oxidase are reviewed. The structures of all eleven of its subunits are explored by building homology models based on the published structures of the homologous bovine subunits and similarities and differences are highlighted, particularly of the core functional subunit I. Yeast genetic techniques to enable introduction of mutations into the three core mitochondrially-encoded subunits are reviewed
Flowers in Space Attacked by Aliens: Understanding the Spatial Ecology Behind the Devastating Damage by a Thistle Bud Weevil on Pitcher’s Thistle at Whitefish Dunes State Park, WI
One of the most threatened plants in the Great Lakes region is Pitcher’s thistle (Cirsium pitcheri), which inhabits sand dunes along the shorelines of Lakes Michigan, Huron, and Superior. In addition to risks from habitat loss and invasive species, C. pitcheri are imperiled by a thistle bud weevil (Larinus planus) that was originally distributed for biological control of nonnative thistles. During the summer of 2014, we empirically studied the devastating damage caused by L. planus on a population of C. pitcheri at Whitefish Dunes State Park, WI, to determine what factors influence the distribution and intensity of damage. We devised three treatments isolating the effects of elevation and neighboring plants. Our experiment revealed that the low elevation treatment with the greater neighboring plant density experienced the most damage during both the early and late season assessments. Additionally, we demonstrated that different abiotic and biotic factors affect L. planus distribution and damage during the early season compared to the late season. Finally, we analyzed the thistle-weevil system from a spatial ecology perspective. These results have important implications for other studies of plant-insect interactions, offer a cautionary tale about biological control, and inform efforts to conserve C. pitcheri
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Option values of low carbon technology policies: how to combine irreversibility effects and learning-by-doing in decisions
In this paper, the political dilemma of the deployment of a large-size low carbon technology (LCT) is analyzed. A simple dynamic model is developed to analyze the interrelation between irreversible investments and learning-by-doing within a context of exogenous uncertainty on carbon price. Contrasting results are obtained. In some cases, the usual irreversibility effects hold, fewer plants of the LCT should be developed when information is anticipated. In other cases, this result is reversed and information arrival can justify an early deployment of the LCT. More precisely, it is shown that marginal reasoning is limited when learning by-doing, and more generally endogenous technical change, is considered. When information arrival is anticipated the optimal policy can move from a corner optimum with no LCT deployment to an interior optimum with a strictly positive development
A few-electron quadruple quantum dot in a closed loop
We report the realization of a quadruple quantum dot device in a square-like
configuration where a single electron can be transferred on a closed path free
of other electrons. By studying the stability diagrams of this system, we
demonstrate that we are able to reach the few-electron regime and to control
the electronic population of each quantum dot with gate voltages. This allows
us to control the transfer of a single electron on a closed path inside the
quadruple dot system. This work opens the route towards electron spin
manipulation using spin-orbit interaction by moving an electron on complex
paths free of electron
Efficient C-Phase gate for single-spin qubits in quantum dots
Two-qubit interactions are at the heart of quantum information processing.
For single-spin qubits in semiconductor quantum dots, the exchange gate has
always been considered the natural two-qubit gate. The recent integration of
magnetic field or g-factor gradients in coupled quantum dot systems allows for
a one-step, robust realization of the controlled phase (C-Phase) gate instead.
We analyze the C-Phase gate durations and fidelities that can be obtained under
realistic conditions, including the effects of charge and nuclear field
fluctuations, and find gate error probabilities of below 10-4, possibly
allowing fault-tolerant quantum computation.Comment: 5 pages, 3 figure
First-principles study of high conductance DNA sequencing with carbon nanotube electrodes
Rapid and cost-effective DNA sequencing at the single nucleotide level might
be achieved by measuring a transverse electronic current as single-stranded DNA
is pulled through a nano-sized pore. In order to enhance the electronic
coupling between the nucleotides and the electrodes and hence the current
signals, we employ a pair of single-walled close-ended (6,6) carbon nanotubes
(CNTs) as electrodes. We then investigate the electron transport properties of
nucleotides sandwiched between such electrodes by using first-principles
quantum transport theory. In particular we consider the extreme case where the
separation between the electrodes is the smallest possible that still allows
the DNA translocation. The benzene-like ring at the end cap of the CNT can
strongly couple with the nucleobases and therefore both reduce conformational
fluctuations and significantly improve the conductance. The optimal molecular
configurations, at which the nucleotides strongly couple to the CNTs, and which
yield the largest transmission, are first identified. Then the electronic
structures and the electron transport of these optimal configurations are
analyzed. The typical tunneling currents are of the order of 50 nA for voltages
up to 1 V. At higher bias, where resonant transport through the molecular
states is possible, the current is of the order of several A. Below 1 V
the currents associated to the different nucleotides are consistently
distinguishable, with adenine having the largest current, guanine the
second-largest, cytosine the third and finally thymine the smallest. We further
calculate the transmission coefficient profiles as the nucleotides are dragged
along the DNA translocation path and investigate the effects of configurational
variations. Based on these results we propose a DNA sequencing protocol
combining three possible data analysis strategies.Comment: 12 pages, 17 figures, 3 table
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