556 research outputs found
Hybrid Rounding Techniques for Knapsack Problems
We address the classical knapsack problem and a variant in which an upper
bound is imposed on the number of items that can be selected. We show that
appropriate combinations of rounding techniques yield novel and powerful ways
of rounding. As an application of these techniques, we present a linear-storage
Polynomial Time Approximation Scheme (PTAS) and a Fully Polynomial Time
Approximation Scheme (FPTAS) that compute an approximate solution, of any fixed
accuracy, in linear time. This linear complexity bound gives a substantial
improvement of the best previously known polynomial bounds.Comment: 19 LaTeX page
Comparison of two models for bridge-assisted charge transfer
Based on the reduced density matrix method, we compare two different
approaches to calculate the dynamics of the electron transfer in systems with
donor, bridge, and acceptor. In the first approach a vibrational substructure
is taken into account for each electronic state and the corresponding states
are displaced along a common reaction coordinate. In the second approach it is
assumed that vibrational relaxation is much faster than the electron transfer
and therefore the states are modeled by electronic levels only. In both
approaches the system is coupled to a bath of harmonic oscillators but the way
of relaxation is quite different. The theory is applied to the electron
transfer in with free-base porphyrin () being the donor, zinc porphyrin () being the bridge and
quinone () the acceptor. The parameters are chosen as similar as
possible for both approaches and the quality of the agreement is discussed.Comment: 12 pages including 4 figures, 1 table, 26 references. For more info
see http://eee.tu-chemnitz.de/~kili
SCIM: Simultaneous Clustering, Inference, and Mapping for Open-World Semantic Scene Understanding
In order to operate in human environments, a robot's semantic perception has
to overcome open-world challenges such as novel objects and domain gaps.
Autonomous deployment to such environments therefore requires robots to update
their knowledge and learn without supervision. We investigate how a robot can
autonomously discover novel semantic classes and improve accuracy on known
classes when exploring an unknown environment. To this end, we develop a
general framework for mapping and clustering that we then use to generate a
self-supervised learning signal to update a semantic segmentation model. In
particular, we show how clustering parameters can be optimized during
deployment and that fusion of multiple observation modalities improves novel
object discovery compared to prior work. Models, data, and implementations can
be found at https://github.com/hermannsblum/scimComment: accepted at ISRR 202
Surface Quality of Porcine Corneal Lenticules after Femtosecond Lenticule Extraction
Purpose: To determine the surface characteristics of porcine corneal lenticules after Femtosecond Lenticule Extraction. Methods: The Carl Zeiss Meditec AG VisuMaxÂź femtosecond laser system was used to create refractive corneal lenticules on 10 freshly isolated porcine eyes. The surface regularity on the corneal lenticules recovered was evaluated by assessing scanning electron microscopy images using an established scoring system. Results: All specimens yielded comparable score results of 5â7 points (SD = 0.59) per lenticule (score range minimum 4 to maximum 11 points). Surface irregularities were caused by tissue bridges, cavitation bubbles or scratches. Conclusion: The Femtosecond Lenticule Extraction procedure is capable of creating corneal lenticules of predictable surface quality. However, future studies should focus on the optimization of laser parameters as well as surgical technique to improve the regularity of the corneal stromal bed
Mercury abundance and isotopic composition indicate subaerial volcanism prior to the end-Archean âwhiffâ of oxygen
Funding: This study was supported by National Aeronautics and Space Administration Exobiology Grant NNX16AI37G (R.B.) and by the MacArthur Professorship (J.D.B.) at the University of Michigan. M.A.K. acknowledges support from an Agouron Institute postdoctoral fellowship.Earthâs early atmosphere witnessed multiple transient episodes of oxygenation before the Great Oxidation Event 2.4 billion years ago (Ga) [e.g., A. D. Anbar et al., Science 317, 1903â1906 (2007); M. C. Koehler, R. Buick, M. E. Barley, Precambrian Res. 320, 281â290 (2019)], but the triggers for these short-lived events are so far unknown. Here, we use mercury (Hg) abundance and stable isotope composition to investigate atmospheric evolution and its driving mechanisms across the well-studied âwhiffâ of O2 recorded in the âŒ2.5-Ga Mt. McRae Shale from the Pilbara Craton in Western Australia [A. D. Anbar et al., Science 317, 1903â1906 (2007)]. Our data from the oxygenated interval show strong Hg enrichment paired with slightly negative Î199Hg and near-zero Î200Hg, suggestive of increased oxidative weathering. In contrast, slightly older beds, which were evidently deposited under an anoxic atmosphere in ferruginous waters [C. T. Reinhard, R. Raiswell, C. Scott, A. D. Anbar, T. W. Lyons, Science 326, 713â716 (2009)], show Hg enrichment coupled with positive Î199Hg and slightly negative Î200Hg values. This pattern is consistent with photochemical reactions associated with subaerial volcanism under intense UV radiation. Our results therefore suggest that the whiff of O2 was preceded by subaerial volcanism. The transient interval of O2 accumulation may thus have been triggered by diminished volcanic O2 sinks, followed by enhanced nutrient supply to the ocean from weathering of volcanic rocks causing increased biological productivity.PostprintPeer reviewe
Biofuel cell based on microscale nanostructured electrodes with inductive coupling to rat brain neurons.
Miniature, self-contained biodevices powered by biofuel cells may enable a new generation of implantable, wireless, minimally invasive neural interfaces for neurophysiological in vivo studies and for clinical applications. Here we report on the fabrication of a direct electron transfer based glucose/oxygen enzymatic fuel cell (EFC) from genuinely three-dimensional (3D) nanostructured microscale gold electrodes, modified with suitable biocatalysts. We show that the process underlying the simple fabrication method of 3D nanostructured electrodes is based on an electrochemically driven transformation of physically deposited gold nanoparticles. We experimentally demonstrate that mediator-, cofactor-, and membrane-less EFCs do operate in cerebrospinal fluid and in the brain of a rat, producing amounts of electrical power sufficient to drive a self-contained biodevice, viz. 7 ÎŒW cm(-2) in vitro and 2 ÎŒW cm(-2) in vivo at an operating voltage of 0.4 V. Last but not least, we also demonstrate an inductive coupling between 3D nanobioelectrodes and living neurons
Central localization of gustatory perception: An experimental study
No Abstract.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/49988/1/901210309_ftp.pd
Simple heuristics for the assembly line worker assignment and balancing problem
We propose simple heuristics for the assembly line worker assignment and
balancing problem. This problem typically occurs in assembly lines in sheltered
work centers for the disabled. Different from the classical simple assembly
line balancing problem, the task execution times vary according to the assigned
worker. We develop a constructive heuristic framework based on task and worker
priority rules defining the order in which the tasks and workers should be
assigned to the workstations. We present a number of such rules and compare
their performance across three possible uses: as a stand-alone method, as an
initial solution generator for meta-heuristics, and as a decoder for a hybrid
genetic algorithm. Our results show that the heuristics are fast, they obtain
good results as a stand-alone method and are efficient when used as a initial
solution generator or as a solution decoder within more elaborate approaches.Comment: 18 pages, 1 figur
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