Depth uncertainty in neural networks

Existing methods for estimating uncertainty in deep learning tend to require multiple forward passes, making them unsuitable for applications where computational resources are limited. To solve this, we perform probabilistic reasoning over the depth of neural networks. Different depths correspond to subnetworks which share weights and whose predictions are combined via marginalisation, yielding model uncertainty. By exploiting the sequential structure of feed-forward networks, we are able to both evaluate our training objective and make predictions with a single forward pass. We validate our approach on real-world regression and image classification tasks. Our approach provides uncertainty calibration, robustness to dataset shift, and accuracies competitive with more computationally expensive baselines

Reduced metabolism supports hypoxic flight in the high-flying bar-headed goose (Anser indicus)

This is the final version. Available on open access from eLife Sciences Publications via the DOI in this recordThe bar-headed goose is famed for migratory flight at extreme altitude. To better understand the physiology underlying this remarkable behavior, we imprinted and trained geese, collecting the first cardiorespiratory measurements of bar-headed geese flying at simulated altitude in a wind tunnel. Metabolic rate during flight increased 16-fold from rest, supported by an increase in the estimated amount of O2 transported per heartbeat and a modest increase in heart rate. The geese appear to have ample cardiac reserves, as heart rate during hypoxic flights was not higher than in normoxic flights. We conclude that flight in hypoxia is largely achieved via the reduction in metabolic rate compared to normoxia. Arterial Po2 was maintained throughout flights. Mixed venous PO2 decreased during the initial portion of flights in hypoxia, indicative of increased tissue O2 extraction. We also discovered that mixed venous temperature decreased during flight, which may significantly increase oxygen loading to hemoglobin.National Science FoundationNatural Sciences and Engineering Research Council of Canada (NSERC

Beyond absorptive capacity in open innovation process: the relationships between openness, capacities and firm performance

The literature has shown that open innovation (OI) can be a winning strategy in improving firm performance. However, in order to adopt and implement it, managers need to resolve practical problems, such as understanding the role played by OI capacities and openness on firm performance. In response to these needs, this study aims to investigate the hierarchical relationships between openness, OI capacities and performance using a structural equation model approach. This paper also attempts to compare the levels of openness between firms in different industries to discover similarities and differences in OI phenomena. The analysis of data obtained from a survey of Korean firms shows significant interrelations between openness, OI capacities and firm performance. Our results go further in developing understanding of the building blocks on which successful OI is built and particularly suggest that desorptive capacity which underpins the out-bound OI process, is in turn strongly supported by knowledge management capacity. It is hoped that the results of this study can enrich our understanding of the OI mechanism *and provide managerial and policy implications.This is the author accepted manuscript. The final version is available from Taylor & Francis via http://dx.doi.org/10.1080/09537325.2016.118173

Density compensated diodes for small field dosimetry: Comprehensive testing and implications for design

Purpose. In small megavoltage photon fields, the accuracies of an unmodified PTW 60017-type diode dosimeter and six diodes modified by adding airgaps of thickness 0.6-1.6 mm and diameter 3.6 mm have been comprehensively characterized experimentally and computationally. The optimally thick airgap for density compensation was determined, and detectors were micro-CT imaged to investigate differences between experimentally measured radiation responses and those predicted computationally. Methods. Detectors were tested on- and off-axis, at 5 and 15 cm depths in 6 and 15 MV fields ≥ 0.5 0.5 cm2. Computational studies were carried out using the EGSnrc/BEAMnrc Monte Carlo radiation transport code. Experimentally, radiation was delivered using a Varian TrueBeam linac and doses absorbed by water were measured using Gafchromic EBT3 film and ionization chambers, and compared with diode readings. Detector response was characterized via the formalism, choosing a 4 4 cm2 reference field. Results. For the unmodified 60017 diode, the maximum error in small field doses obtained from diode readings uncorrected by factors was determined as 11.9% computationally at +0.25 mm off-axis and 5 cm depth in a 15 MV 0.5 0.5 cm2 field, and 11.7% experimentally at -0.30 mm off-axis and 5 cm depth in the same field. A detector modified to include a 1.6 mm thick airgap performed best, with maximum computationally and experimentally determined errors of 2.2% and 4.1%. The 1.6 mm airgap deepened the modified dosimeter's effective point of measurement by 0.5 mm. For some detectors significant differences existed between responses in small fields determined computationally and experimentally, micro-CT imaging indicating that these differences were due to within-tolerance variations in the thickness of an epoxy resin layer. Conclusions. The dosimetric performance of a 60017 diode detector was comprehensively improved throughout 6 and 15 MV small photon fields via density compensation. For this approach to work well with good detector-to-detector reproducibility, tolerances on dense component dimensions should be reduced to limit associated variations of response in small fields, or these components should be modified to have more water-like densities

Phenotypic and functional modulation of porcine monocyte-derived dendritic cells for foot-and-mouth disease virus

Dendritic cells (DCs) play an important role in inducing primary antigen-specific immune responses to viral antigens. In this study, the peripheral blood monocyte-derived (PBMC) were cultured in the presence of granulocyte-macrophage colony-stimulating factor (GM-CSF) and interleukin (IL)-4. After 6 days of culture, immature monocyte-derived dendritic cells (Mo-DCs) were generated. The addition of lipopolysaccharide (LPS) during differentiation of Mo-DCs enhanced their ability to stimulate allogeneic mixed lymphocyte reaction (MLR) and alter their ability to produce cytokines. Then, we investigated the interaction between foot-and-mouth disease virus (FMDV) and porcine Mo-DCs in vitro and confirmed that the immunological phenotype and function of porcine Mo-DCs were modulated during FMDV infection. A down-regulated expression of MHC II and CD1 were observed at 48 h post FMDV infection. In addition, the infected porcine Mo-DCs exhibited ultrastructural morphological changes, FMDV-infected porcine Mo-DCs failed to stimulate T cell proliferation in vitro. Moreover, infection of porcine Mo-DCs in vitro induced the secretion of IFN-γ and the suppressive cytokine IL-10 in porcine Mo-DCs. Results indicated that the down-regulation of MHC II and CD1 molecules and the increased secretion of the IFN-γ and IL-10 cytokines might be the mechanisms that FMDV uses to evade the host immune responses.Key words: Dendritic cells, foot-and-mouth disease virus, MHC II, modulation, cytokines

Deterministic mechanical model of T-killer cell polarization reproduces the wandering of aim between simultaneously engaged targets

T-killer cells of the immune system eliminate virus-infected and tumorous cells through direct cell-cell interactions. Reorientation of the killing apparatus inside the T cell to the T-cell interface with the target cell ensures specificity of the immune response. The killing apparatus can also oscillate next to the cell-cell interface. When two target cells are engaged by the T cell simultaneously, the killing apparatus can oscillate between the two interface areas. This oscillation is one of the most striking examples of cell movements that give the microscopist an unmechanistic impression of the cell's fidgety indecision. We have constructed a three-dimensional, numerical biomechanical model of the molecular-motor-driven microtubule cytoskeleton that positions the killing apparatus. The model demonstrates that the cortical pulling mechanism is indeed capable of orienting the killing apparatus into the functional position under a range of conditions. The model also predicts experimentally testable limitations of this commonly hypothesized mechanism of T-cell polarization. After the reorientation, the numerical solution exhibits complex, multidirectional, multiperiodic, and sustained oscillations in the absence of any external guidance or stochasticity. These computational results demonstrate that the strikingly animate wandering of aim in T-killer cells has a purely mechanical and deterministic explanation. © 2009 Kim, Maly

Explaining the continuum of social participation among older adults in Singapore: from 'closed doors' to active ageing in multi-ethnic community settings.

OBJECTIVES: This study aims to identify and explain the continuum in which older people in Singapore participate in community and social life, highlighting the influence of culture and policy context on social participation. METHODS: Using an ethnographic approach in a neighbourhood (n=109), we conducted focus groups with older adults of different ethnicities, exploring experiences of social participation. Next, participants took 50 photographs relating to 'lives of elders', showcasing the socio-ecological context that influenced social participation. Lastly, go-along interviews were conducted in various precincts with community leaders. RESULTS: A continuum of social participation emerged among older adults, ranging from (1) marginalization and exclusion, to (2) 'comfort-zoning' alone (3) seeking consistent social interactions, (4) expansion of social network, and (5) giving back to society. Seeking consistent social interactions was shaped by a preference for cultural grouping and ethnic values, but also a desire for emotional safety. Attitudes about expanding one's social network depended on the psychosocial adjustment of the older person to the prospect of gossip and 'trouble' of managing social relations. Despite the societal desirability of an active ageing lifestyle, cultural scripts emphasizing family meant older adults organized participation in social and community life, around family responsibilities. Institutionalizing family reliance in Singapore's welfare approach penalized lower-income older adults with little family support from accessing subsidies, and left some living on the margins. DISCUSSION: To promote inclusiveness, ageing programs should address preferences for social participation, overcoming barriers at the individual, ethnic culture and policy level

Global datasets of leaf photosynthetic capacity for ecological and earth system research

The maximum rate of Rubisco carboxylation (Vcmax) determines leaf photosynthetic capacity and is a key parameter for estimating the terrestrial carbon cycle, but its spatial information is lacking, hindering global ecological research. Here, we convert leaf chlorophyll content (LCC) retrieved from satellite data to Vcmax, based on plants’ optimal distribution of nitrogen between light harvesting and carboxylation pathways. We also derive Vcmax from satellite (GOME-2) observations of sun-induced chlorophyll fluorescence (SIF) as a proxy of leaf photosynthesis using a data assimilation technique. These two independent global Vcmax products agree well (r 2=0.79, RMSE=15.46 μmol m-2 s -1 25 , P<0.001) and compare well with 3672 ground-based measurements (r2=0.68, RMSE=13.55 μmol m-2 s -1 and P<0.001 for SIF; r2=0.55, RMSE=17.55 μmol m-2 s -1 and P<0.001 for LCC). The LCC-derived Vcmax product is also used to constrain the retrieval of Vcmax from TROPOMI SIF data to produce an optimized Vcmax product using both SIF and LCC information. The global distributions of these products are compatible with Vcmax computed from an ecological optimality theory using meteorological variables, but importantly reveal additional information on the influence of land cover, irrigation, soil pH and leaf nitrogen on leaf photosynthetic capacity. These satellite-based approaches and spatial Vcmax products are primed to play a major role in global ecosystem research. The three remote sensing Vcmax products based on SIF, LCC and SIF+LCC are available at https://doi.org/10.5281/zenodo.6466968 (Chen et al., 2020) and the code for implementing the ecological optimality theory is available at https://github.com/SmithEcophysLab/optimal_vcmax_R (Smith, 2020)