573 research outputs found

    Platyceroidini, a new tribe of North American stag beetles(Coleoptera: Lucanidae: Lucaninae)

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    The tribe Platyceroidini is created to accommodate two genera of North American stag beetles, Platyceroides Benesh and Platyceropsis Benesh (Lucanidae: Lucaninae). These genera are removed from the tribe Platycerini Mulsant

    A review of the primary types of the Hawaiian stag beetle genus \u3ci\u3eApterocyclus\u3c/i\u3e Waterhouse (Coleoptera, Lucanidae, Lucaninae), with the description of a new species

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    The species of the Hawaiian stag beetle genus Apterocyclus Waterhouse (Coleoptera: Lucanidae) are reviewed following an examination of all primary types. Although the continued existence of the species is unknown and some possibly are extinct there are five recently extant species, including one species that is described here as new. The holotypes for all available names are pictured, and synonymies discussed and updated. Lectotypes are designated for Apterocyclus honoluluensis Waterhouse and A. munroi Sharp. A key to species and a revised catalog for the genus are provided

    The Metallurgical Study of Fort Ligonier Bayonet Sections, Hand Forged Spikes, and Copper Powder Keg Hoop Sections

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    No abstract is available at this time

    Confederate invoice of subsistence stores ( Form 22 ) signed by Thomas Stonewall Jackson, April 1, 1863.

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    Jackson signs as Major General just weeks before his death. Subsistence stores or provisions in this case consist of bulk amounts of bacon, flour, rice, soap, salt, and vinegar. Countersigned by Major W.J. Hawks and Major George W. T. Kearsley. Dated April 1st, 1863.https://digitalcommons.wofford.edu/littlejohnmss/1232/thumbnail.jp

    Ps and Qs: Quantization-aware pruning for efficient low latency neural network inference

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    Efficient machine learning implementations optimized for inference in hardware have wide-ranging benefits, depending on the application, from lower inference latency to higher data throughput and reduced energy consumption. Two popular techniques for reducing computation in neural networks are pruning, removing insignificant synapses, and quantization, reducing the precision of the calculations. In this work, we explore the interplay between pruning and quantization during the training of neural networks for ultra low latency applications targeting high energy physics use cases. Techniques developed for this study have potential applications across many other domains. We study various configurations of pruning during quantization-aware training, which we term quantization-aware pruning, and the effect of techniques like regularization, batch normalization, and different pruning schemes on performance, computational complexity, and information content metrics. We find that quantization-aware pruning yields more computationally efficient models than either pruning or quantization alone for our task. Further, quantization-aware pruning typically performs similar to or better in terms of computational efficiency compared to other neural architecture search techniques like Bayesian optimization. Surprisingly, while networks with different training configurations can have similar performance for the benchmark application, the information content in the network can vary significantly, affecting its generalizability.Comment: 22 pages, 7 Figures, 1 Tabl

    Pego do Diabo (Loures, Portugal): Dating the Emergence of Anatomical Modernity in Westernmost Eurasia

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    Neandertals and the Middle Paleolithic persisted in the Iberian Peninsula south of the Ebro drainage system for several millennia beyond their assimilation/replacement elsewhere in Europe. As only modern humans are associated with the later stages of the Aurignacian, the duration of this persistence pattern can be assessed via the dating of diagnostic occurrences of such stages

    Identifying artificially deformed crania

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    In this paper we report on a new discriminant function for the identification of artificially deformed crania. Development of the function, based on a sample of deformed and undeformed crania from the Philippines, required visual classification of the sample into deformed and undeformed groups. Working from the observation that deformed crania display flattened frontal and occipital regions, the sample was seriated based on degree of flattening; classification was based on the results of this seriation. The discriminant function, calculated using curvature indices, required only six simple measurements: arc and chord measurements for the frontal (glabella to bregma), parietals (bregma to lambda) and occipital (lambda to opisthion). The function was designed to be conservative, in that a deformed cranium may be classified as undeformed, but the opposite should not occur. Our function classified the undeformed crania with 100% accuracy and deformed crania with 76.9% accuracy, for a total of 91.9% agreement with visual classification. In order to evaluate whether the function is applicable for samples from outside the Philippines, a double blind test was conducted with a large sample of deformed and undeformed crania from a broad geographical and temporal range. For this sample, the function agreed with visual classification in 89.7% of cases; 98.8% of undeformed crania were correctly classified, while deformed crania were identified with 73.7% accuracy. These results demonstrate the utility of the new discriminant function for the classification of artificially deformed crania from diverse contexts. Copyright © 2007 John Wiley & Sons, Ltd.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/57385/1/910_ftp.pd

    Predicting Gypsy Moth Population Size in Porcupine Mountains Wilderness State Park using a Satellite Disturbance Index

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    The pattern of gypsy moth defoliation in the Apostle Islands suggests that moths arrived first to the most isolated islands, not those that are nearest the mainland or the most visited by tourists. Gypsy moths are primarily wind-dispersed, so at least some of the moths may have been blown across Lake Superior. The Porcupine Mountains, about 55 km away, are a potential source for these moths. We used a satellite image-based disturbance index to map the extent of defoliation in and around Porcupine Mountains Wilderness State Park. Using these data and moth trap data provided by the Slow the Spread program, we estimated the moth population to include 310 million male moths. While this does not prove definitively that moths were blown across the lake, it does suggest that the Porcupine Mountains are a likely and convenient source for windborne invading moths. Future research, focusing on wind patterns, may provide additional insigh
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