1. |
- Soranno, Patricia A., et al.
(author)
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LAGOS-NE : A multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of U.S. lakes
- 2017
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In: GigaScience. - : Oxford University Press (OUP). - 2047-217X. ; 6:12, s. 1-22
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Journal article (peer-reviewed)abstract
- Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states. LAGOS-NE contains data for 51101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 datamodules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situmeasurements of lake water quality for a subset of the lakes fromthe past 3 decades for approximately 2600â12 000 lakes depending on the variable. The database contains approximately 150000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from87 lake water quality data sets fromfederal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest andmost comprehensive databases of its type because it includes both in situmeasurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales
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2. |
- Alexanderson, Simon, et al.
(author)
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Mimebot—Investigating the Expressibility of Non-Verbal Communication Across Agent Embodiments
- 2017
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In: ACM Transactions on Applied Perception. - : Association for Computing Machinery (ACM). - 1544-3558 .- 1544-3965. ; 14:4
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Journal article (peer-reviewed)abstract
- Unlike their human counterparts, artificial agents such as robots and game characters may be deployed with a large variety of face and body configurations. Some have articulated bodies but lack facial features, and others may be talking heads ending at the neck. Generally, they have many fewer degrees of freedom than humans through which they must express themselves, and there will inevitably be a filtering effect when mapping human motion onto the agent. In this article, we investigate filtering effects on three types of embodiments: (a) an agent with a body but no facial features, (b) an agent with a head only, and (c) an agent with a body and a face. We performed a full performance capture of a mime actor enacting short interactions varying the non-verbal expression along five dimensions (e.g., level of frustration and level of certainty) for each of the three embodiments. We performed a crowd-sourced evaluation experiment comparing the video of the actor to the video of an animated robot for the different embodiments and dimensions. Our findings suggest that the face is especially important to pinpoint emotional reactions but is also most volatile to filtering effects. The body motion, on the other hand, had more diverse interpretations but tended to preserve the interpretation after mapping and thus proved to be more resilient to filtering.
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3. |
- Azimzadeh, Omid, et al.
(author)
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Label-free protein profiling of formalin-fixed paraffin-embedded (FFPE) heart tissue reveals immediatemitochondrial impairment after ionising radiation
- 2012
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In: Journal of Proteomics. - : Elsevier BV. - 1874-3919 .- 1876-7737. ; 75:8, s. 2384-2395
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Journal article (peer-reviewed)abstract
- Qualitative proteome profiling of formalin-fixed, paraffin-embedded (FFPE) tissue is advancing the field of clinical proteomics. However, quantitative proteome analysis of FFPE tissue is hampered by the lack of an efficient labelling method. The usage of conventional protein labelling on FFPE tissue has turned out to be inefficient. Classical labelling targets lysine residues that are blocked by the formalin treatment. The aim of this study was to establish a quantitative proteomics analysis of FFPE tissue by combining the label-free approach with optimised protein extraction and separation conditions. As a model system we used FFPE heart tissue of control and exposed C57BL/6 mice after total body irradiation using a gamma ray dose of 3 gray. We identified 32 deregulated proteins (p <= 0.05) in irradiated hearts 24 h after the exposure. The proteomics data were further evaluated and validated by bioinformatics and immunoblotting investigation. In good agreement with our previous results using fresh-frozen tissue, the analysis indicated radiation-induced alterations in three main biological pathways: respiratory chain, lipid metabolism and pyruvate metabolism. The label-free approach enables the quantitative measurement of radiation-induced alterations in FFPE tissue and facilitates retrospective biomarker identification using clinical archives.
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4. |
- Fenstermacher, M.E., et al.
(author)
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DIII-D research advancing the physics basis for optimizing the tokamak approach to fusion energy
- 2022
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In: Nuclear Fusion. - : IOP Publishing. - 0029-5515 .- 1741-4326. ; 62:4
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Journal article (peer-reviewed)abstract
- DIII-D physics research addresses critical challenges for the operation of ITER and the next generation of fusion energy devices. This is done through a focus on innovations to provide solutions for high performance long pulse operation, coupled with fundamental plasma physics understanding and model validation, to drive scenario development by integrating high performance core and boundary plasmas. Substantial increases in off-axis current drive efficiency from an innovative top launch system for EC power, and in pressure broadening for Alfven eigenmode control from a co-/counter-I p steerable off-axis neutral beam, all improve the prospects for optimization of future long pulse/steady state high performance tokamak operation. Fundamental studies into the modes that drive the evolution of the pedestal pressure profile and electron vs ion heat flux validate predictive models of pedestal recovery after ELMs. Understanding the physics mechanisms of ELM control and density pumpout by 3D magnetic perturbation fields leads to confident predictions for ITER and future devices. Validated modeling of high-Z shattered pellet injection for disruption mitigation, runaway electron dissipation, and techniques for disruption prediction and avoidance including machine learning, give confidence in handling disruptivity for future devices. For the non-nuclear phase of ITER, two actuators are identified to lower the L-H threshold power in hydrogen plasmas. With this physics understanding and suite of capabilities, a high poloidal beta optimized-core scenario with an internal transport barrier that projects nearly to Q = 10 in ITER at ∼8 MA was coupled to a detached divertor, and a near super H-mode optimized-pedestal scenario with co-I p beam injection was coupled to a radiative divertor. The hybrid core scenario was achieved directly, without the need for anomalous current diffusion, using off-axis current drive actuators. Also, a controller to assess proximity to stability limits and regulate β N in the ITER baseline scenario, based on plasma response to probing 3D fields, was demonstrated. Finally, innovative tokamak operation using a negative triangularity shape showed many attractive features for future pilot plant operation.
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5. |
- Kempf, Stefan J., et al.
(author)
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The cognitive defects of neonatally irradiated miceare accompanied by changed synaptic plasticity,adult neurogenesis and neuroinflammation
- 2014
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In: Molecular Neurodegeneration. - : Springer Science and Business Media LLC. - 1750-1326. ; 9, s. 57-
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Journal article (peer-reviewed)abstract
- Background/purpose of the study: Epidemiological evidence suggests that low doses of ionising radiation(≤1.0 Gy) produce persistent alterations in cognition if the exposure occurs at a young age. The mechanismsunderlying such alterations are unknown. We investigated the long-term effects of low doses of total body gammaradiation on neonatally exposed NMRI mice on the molecular and cellular level to elucidate neurodegeneration.Results: Significant alterations in spontaneous behaviour were observed at 2 and 4 months following a single 0.5or 1.0 Gy exposure. Alterations in the brain proteome, transcriptome, and several miRNAs were analysed 6–7months post-irradiation in the hippocampus, dentate gyrus (DG) and cortex. Signalling pathways related to synapticactin remodelling such as the Rac1-Cofilin pathway were altered in the cortex and hippocampus. Further, synapticproteins MAP-2 and PSD-95 were increased in the DG and hippocampus (1.0 Gy). The expression of synapticplasticity genes Arc, c-Fos and CREB was persistently reduced at 1.0 Gy in the hippocampus and cortex. Thesechanges were coupled to epigenetic modulation via increased levels of microRNAs (miR-132/miR-212, miR-134).Astrogliosis, activation of insulin-growth factor/insulin signalling and increased level of microglial cytokine TNFαindicated radiation-induced neuroinflammation. In addition, adult neurogenesis within the DG was persistentlynegatively affected after irradiation, particularly at 1.0 Gy.Conclusion: These data suggest that neurocognitive disorders may be induced in adults when exposed at a youngage to low and moderate cranial doses of radiation. This raises concerns about radiation safety standards andregulatory practices.
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6. |
- Kucherenko, Taras, 1994-, et al.
(author)
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Multimodal analysis of the predictability of hand-gesture properties
- 2022
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In: AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. - : ACM Press. ; , s. 770-779
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Conference paper (peer-reviewed)abstract
- Embodied conversational agents benefit from being able to accompany their speech with gestures. Although many data-driven approaches to gesture generation have been proposed in recent years, it is still unclear whether such systems can consistently generate gestures that convey meaning. We investigate which gesture properties (phase, category, and semantics) can be predicted from speech text and/or audio using contemporary deep learning. In extensive experiments, we show that gesture properties related to gesture meaning (semantics and category) are predictable from text features (time-aligned FastText embeddings) alone, but not from prosodic audio features, while rhythm-related gesture properties (phase) on the other hand can be predicted from audio features better than from text. These results are encouraging as they indicate that it is possible to equip an embodied agent with content-wise meaningful co-speech gestures using a machine-learning model.
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7. |
- Kucherenko, Taras, 1994-, et al.
(author)
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Speech2Properties2Gestures : Gesture-Property Prediction as a Tool for Generating Representational Gestures from Speech
- 2021
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In: IVA '21. - New York, NY, USA : Association for Computing Machinery (ACM). ; , s. 145-147
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Conference paper (peer-reviewed)abstract
- We propose a new framework for gesture generation, aiming to allow data-driven approaches to produce more semantically rich gestures. Our approach first predicts whether to gesture, followed by a prediction of the gesture properties. Those properties are then used as conditioning for a modern probabilistic gesture-generation model capable of high-quality output. This empowers the approach to generate gestures that are both diverse and representational. Follow-ups and more information can be found on the project page:https://svito-zar.github.io/speech2properties2gestures
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8. |
- Silvervarg, Annika, 1974-, et al.
(author)
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The Effect of Visual Gender on Abuse in Conversation with ECAs
- 2012
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In: Lecture Notes in Computer Science. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642331961 - 9783642331978 ; 7502:IVA 2012, s. 153-160
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Conference paper (peer-reviewed)abstract
- Previous studies have shown that female ECAs are more likely to be abused than male agents, which may cement gender stereotypes. In the study reported in this paper a visually androgynous ECA in the form of a teachable agent in an educational math game was compared with a female and male agent. The re-sults confirm that female agents are more prone to be verbally abused than male agents, but also show that the visually androgynous agent was less abused than the female although more than the male agent. A surprising finding was that very few students asked the visually androgynous agent whether it was a boy or a girl. These results suggest that androgyny may be a way to keep both genders represented, which is especially important in pedagogical settings, simultaneously lowering the abusive behavior and perhaps most important, loosen the connection between gender and abuse.
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