75 research outputs found

    The VVAD-LRS3 Dataset for Visual Voice Activity Detection

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    Robots are becoming everyday devices, increasing their interaction with humans. To make human-machine interaction more natural, cognitive features like Visual Voice Activity Detection (VVAD), which can detect whether a person is speaking or not, given visual input of a camera, need to be implemented. Neural networks are state of the art for tasks in Image Processing, Time Series Prediction, Natural Language Processing and other domains. Those Networks require large quantities of labeled data. Currently there are not many datasets for the task of VVAD. In this work we created a large scale dataset called the VVAD-LRS3 dataset, derived by automatic annotations from the LRS3 dataset. The VVAD-LRS3 dataset contains over 44K samples, over three times the next competitive dataset (WildVVAD). We evaluate different baselines on four kinds of features: facial and lip images, and facial and lip landmark features. With a Convolutional Neural Network Long Short Term Memory (CNN LSTM) on facial images an accuracy of 92% was reached on the test set. A study with humans showed that they reach an accuracy of 87.93% on the test set

    Broadband near-ultraviolet dual comb spectroscopy

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    The highly energetic photons of ultraviolet light drive electronic and rovibronic transitions in all molecular species. This radiation is thus a prime tool for strongly selective spectroscopic fingerprinting and real-time environmental monitoring if broad spectral coverage, short acquisition times and high spectral resolution is achieved - requirements that are in mutual competition in traditional applications. As a novel approach with intrinsic potency in all three aspects, here we introduce ultraviolet dual comb spectroscopy using two broadband ultraviolet frequency combs centered at 871 THz and covering a spectral bandwidth of 35.7 THz. Within a 100 us acquisition time window, we obtain rotational state-resolved absorption spectra of formaldehyde, a prototype molecule with high relevance for laser spectroscopy and environmental sciences. This is the first realization of broadband dual comb spectroscopy in the ultraviolet spectral region and a pioneering tool to allow for real-time monitoring of rovibronic transitions.Comment: 17 pages, 10 figure

    Dynamics of pedestrians in regions with no visibility - a lattice model without exclusion

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    We investigate the motion of pedestrians through obscure corridors where the lack of visibility (due to smoke, fog, darkness, etc.) hides the precise position of the exits. We focus our attention on a set of basic mechanisms, which we assume to be governing the dynamics at the individual level. Using a lattice model, we explore the effects of non-exclusion on the overall exit flux (evacuation rate). More precisely, we study the effect of the buddying threshold (of no-exclusion per site) on the dynamics of the crowd and investigate to which extent our model confirms the following pattern revealed by investigations on real emergencies: If the evacuees tend to cooperate and act altruistically, then their collective action tends to favor the occurrence of disasters.Comment: 20 page

    Considering the Case for Biodiversity Cycles: Reexamining the Evidence for Periodicity in the Fossil Record

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    Medvedev and Melott (2007) have suggested that periodicity in fossil biodiversity may be induced by cosmic rays which vary as the Solar System oscillates normal to the galactic disk. We re-examine the evidence for a 62 million year (Myr) periodicity in biodiversity throughout the Phanerozoic history of animal life reported by Rohde & Mueller (2005), as well as related questions of periodicity in origination and extinction. We find that the signal is robust against variations in methods of analysis, and is based on fluctuations in the Paleozoic and a substantial part of the Mesozoic. Examination of origination and extinction is somewhat ambiguous, with results depending upon procedure. Origination and extinction intensity as defined by RM may be affected by an artifact at 27 Myr in the duration of stratigraphic intervals. Nevertheless, when a procedure free of this artifact is implemented, the 27 Myr periodicity appears in origination, suggesting that the artifact may ultimately be based on a signal in the data. A 62 Myr feature appears in extinction, when this same procedure is used. We conclude that evidence for a periodicity at 62 Myr is robust, and evidence for periodicity at approximately 27 Myr is also present, albeit more ambiguous.Comment: Minor modifications to reflect final published versio

    Calving controlled by melt-under-cutting: detailed calving styles revealed through time-lapse observations

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    Here, we present a highly detailed study of calving dynamics at Tunabreen, a tidewater glacier in Svalbard. A time-lapse camera was trained on the terminus and programmed to capture images every three seconds over a 28-hour period in August 2015, producing a highly detailed record of 34,117 images from which 358 individual calving events were distinguished. Calving activity is characterised by frequent events (12.8 events per hour) that are small relative to the spectrum of calving events observed, demonstrating the prevalence of small-scale calving mechanisms. Five calving styles were observed, with a high proportion of calving events (82%) originating at, or above, the waterline. The tidal cycle plays a key role in the timing of calving events, with 68% occurring on the falling limb of the tide. Calving activity is concentrated where meltwater plumes surface at the glacier front, and a ∼5 m undercut at the base of the glacier suggests that meltwater plumes encourage melt-undercutting. We conclude that frontal ablation at Tunabreen may be paced by submarine melt rates, as suggested from similar observations at glaciers in Svalbard and Alaska. Using submarine melt rate to calculate frontal ablation would greatly simplify estimations of tidewater glacier losses in prognostic models

    Self-decorating cells via surface-initiated enzymatic controlled radical polymerization

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    Through the innovative use of surface-displayed horseradish peroxidase, this work explores the enzymatic catalysis of both bioRAFT polymerization and bioATRP to prompt polymer synthesis on the surface of Saccharomyces cerevisiae cells, with bioATRP outperforming bioRAFT polymerization. The resulting surface modification of living yeast cells with synthetic polymers allows for a significant change in yeast phenotype, including growth profile, aggregation characteristics, and conjugation of non-native enzymes to the clickable polymers on the cell surface, opening new avenues in bioorthogonal cell-surface engineering

    The Vehicle, Spring 2013

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    Vol. 54, Issue 1 Table of Contents About Face!: A Confederacy of ClichesKaren Neuberg page 8 HopeJames Coxpage 9 IN or OUTTaryn DeVriespage 12 The Imagination of a ChildMaxwell Collinspage 16 How Free to be a TreeLeann Kirchnerpage 18 CrowsValentina Canopage 19 Old West PhotosFred Pollackpage 20 Lava LampFred Pollackpage 21 Mort MotGerry Mark Nortonpage 23 If ILaura Adrianpage 24 Finding my MonkeyDavid Lewitzkypage 25 Slow DragDavid Lewitzkypage 26 Political ScienceElizabeth Marlowpage 27 ...Were Punctuated By...Elizabeth Marlowpage 28 St. E Pt 1Elizabeth Marlowpage 29 The Steamboat CaptainElizabeth Marlowpage 30 Pretty EyesRyan Sheapage 31 The World is RoundRyan Sheapage 32 End SongsJason Graffpage 33 The Sensitive Youth Grows UpRichard King Perkins IIpage 41 Colors and LightKyle Owenspage 42 RE-TARDKarlyn Thayerpage 44 Where Is Waldo?Riley Parishpage 57 Beneath Shifting SoundsHolly Daypage 58 Talking Shop with Mike Kardospage 60 Winnie Davis Neely Award winner: Paper CutsGregory Robert Petersonpage 68 Paper-Mache PoetryGregory Robert Petersonpage 69 James K. Johnson Award winners: ValveChristopher Robinsonpage 72 Dear MotherEliot Thompsonpage 76 Why Are There Bars on the WindowsEliot Thompsonpage 77 To Be a ScholarEliot Thompsonpage 79 OccidentalEliot Thompsonpage 80 Falling is for the ClumsyEliot Thompsonpage 81 Scary MonstersC. David Banyaipage 83 I Called My Grandmother DollyRashelle Spearpage 90 Tender FleshH R Greenpage 92 Faking ItShelby Koehnepage 95 Contributor\u27s notespage 101https://thekeep.eiu.edu/vehicle/1095/thumbnail.jp

    The Vehicle, Spring 2013

    Get PDF
    Vol. 54, Issue 1 Table of Contents About Face!: A Confederacy of ClichesKaren Neuberg page 8 HopeJames Coxpage 9 IN or OUTTaryn DeVriespage 12 The Imagination of a ChildMaxwell Collinspage 16 How Free to be a TreeLeann Kirchnerpage 18 CrowsValentina Canopage 19 Old West PhotosFred Pollackpage 20 Lava LampFred Pollackpage 21 Mort MotGerry Mark Nortonpage 23 If ILaura Adrianpage 24 Finding my MonkeyDavid Lewitzkypage 25 Slow DragDavid Lewitzkypage 26 Political ScienceElizabeth Marlowpage 27 ...Were Punctuated By...Elizabeth Marlowpage 28 St. E Pt 1Elizabeth Marlowpage 29 The Steamboat CaptainElizabeth Marlowpage 30 Pretty EyesRyan Sheapage 31 The World is RoundRyan Sheapage 32 End SongsJason Graffpage 33 The Sensitive Youth Grows UpRichard King Perkins IIpage 41 Colors and LightKyle Owenspage 42 RE-TARDKarlyn Thayerpage 44 Where Is Waldo?Riley Parishpage 57 Beneath Shifting SoundsHolly Daypage 58 Talking Shop with Mike Kardospage 60 Winnie Davis Neely Award winner: Paper CutsGregory Robert Petersonpage 68 Paper-Mache PoetryGregory Robert Petersonpage 69 James K. Johnson Award winners: ValveChristopher Robinsonpage 72 Dear MotherEliot Thompsonpage 76 Why Are There Bars on the WindowsEliot Thompsonpage 77 To Be a ScholarEliot Thompsonpage 79 OccidentalEliot Thompsonpage 80 Falling is for the ClumsyEliot Thompsonpage 81 Scary MonstersC. David Banyaipage 83 I Called My Grandmother DollyRashelle Spearpage 90 Tender FleshH R Greenpage 92 Faking ItShelby Koehnepage 95 Contributor\u27s notespage 101https://thekeep.eiu.edu/vehicle/1095/thumbnail.jp

    Pathogen Recognition Receptor Signaling Accelerates Phosphorylation-Dependent Degradation of IFNAR1

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    An ability to sense pathogens by a number of specialized cell types including the dendritic cells plays a central role in host's defenses. Activation of these cells through the stimulation of the pathogen-recognition receptors induces the production of a number of cytokines including Type I interferons (IFNs) that mediate the diverse mechanisms of innate immunity. Type I IFNs interact with the Type I IFN receptor, composed of IFNAR1 and IFNAR2 chains, to mount the host defense responses. However, at the same time, Type I IFNs elicit potent anti-proliferative and pro-apoptotic effects that could be detrimental for IFN-producing cells. Here, we report that the activation of p38 kinase in response to pathogen-recognition receptors stimulation results in a series of phosphorylation events within the IFNAR1 chain of the Type I IFN receptor. This phosphorylation promotes IFNAR1 ubiquitination and accelerates the proteolytic turnover of this receptor leading to an attenuation of Type I IFN signaling and the protection of activated dendritic cells from the cytotoxic effects of autocrine or paracrine Type I IFN. In this paper we discuss a potential role of this mechanism in regulating the processes of innate immunity

    Sarcoma classification by DNA methylation profiling

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    Sarcomas are malignant soft tissue and bone tumours affecting adults, adolescents and children. They represent a morphologically heterogeneous class of tumours and some entities lack defining histopathological features. Therefore, the diagnosis of sarcomas is burdened with a high inter-observer variability and misclassification rate. Here, we demonstrate classification of soft tissue and bone tumours using a machine learning classifier algorithm based on array-generated DNA methylation data. This sarcoma classifier is trained using a dataset of 1077 methylation profiles from comprehensively pre-characterized cases comprising 62 tumour methylation classes constituting a broad range of soft tissue and bone sarcoma subtypes across the entire age spectrum. The performance is validated in a cohort of 428 sarcomatous tumours, of which 322 cases were classified by the sarcoma classifier. Our results demonstrate the potential of the DNA methylation-based sarcoma classification for research and future diagnostic applications
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