age Smoky affair / Asian Age. By search.wellcomelibrary.org Published On :: [Place of publication not identified] : Asian Age, 1997. Full Article
age Scissors and Glue Zine collage/vegan/art By search.wellcomelibrary.org Published On :: Full Article
age Tuberculosis statistics : summary of the report / addressed by Dr. S. Rosenfeld (Vienna) to the Health Committee of the Leage of Nations. By search.wellcomelibrary.org Published On :: England : League of Nations, 1925. Full Article
age Drug dependence in pregnancy : clinical management of mother and child / [editor, Lorreta P. Finnegan]. By search.wellcomelibrary.org Published On :: Rockville, Maryland : National Institute on Drug Abuse, 1979. Full Article
age Management information systems in the drug field / edited by George M. Beschner, Neil H. Sampson, National Institute on Drug Abuse ; and Christopher D'Amanda, Coordinating Office for Drug and Alcohol Abuse, City of Philadelphia. By search.wellcomelibrary.org Published On :: Rockville, Maryland : National Institute on Drug Abuse, 1979. Full Article
age Evil eye : to protect use red thread : images of eyes being attacked. By search.wellcomelibrary.org Published On :: [London] : [publisher not identified], [2019] Full Article
age Drug-related social work in street agencies : a study by the Institute for the Study of Drug Dependence / Nicholas Dorn and Nigel South. By search.wellcomelibrary.org Published On :: Norwich : University of East Anglia : Social Work Today, 1984. Full Article
age Resolving the image By www.sl.nsw.gov.au Published On :: Thu, 10 Sep 2015 02:50:12 +0000 As discussed in last week's post we have recently made important decisions on the Holtermann Collection digitisatio Full Article
age Oregon State women's basketball receives Pac-12 Sportsmanship Award for supporting rival Oregon in tragedy By sports.yahoo.com Published On :: Thu, 07 May 2020 15:58:09 GMT On the day Kobe Bryant suddenly passed away, the Beavers embraced their rivals at midcourt in a moment of strength to support the Ducks, many of whom had personal connections to Bryant and his daughter, Gigi. For this, Oregon State is the 2020 recipient of the Pac-12 Sportsmanship Award. Full Article video Sports
age Weighted Message Passing and Minimum Energy Flow for Heterogeneous Stochastic Block Models with Side Information By Published On :: 2020 We study the misclassification error for community detection in general heterogeneous stochastic block models (SBM) with noisy or partial label information. We establish a connection between the misclassification rate and the notion of minimum energy on the local neighborhood of the SBM. We develop an optimally weighted message passing algorithm to reconstruct labels for SBM based on the minimum energy flow and the eigenvectors of a certain Markov transition matrix. The general SBM considered in this paper allows for unequal-size communities, degree heterogeneity, and different connection probabilities among blocks. We focus on how to optimally weigh the message passing to improve misclassification. Full Article
age GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing By Published On :: 2020 We present GluonCV and GluonNLP, the deep learning toolkits for computer vision and natural language processing based on Apache MXNet (incubating). These toolkits provide state-of-the-art pre-trained models, training scripts, and training logs, to facilitate rapid prototyping and promote reproducible research. We also provide modular APIs with flexible building blocks to enable efficient customization. Leveraging the MXNet ecosystem, the deep learning models in GluonCV and GluonNLP can be deployed onto a variety of platforms with different programming languages. The Apache 2.0 license has been adopted by GluonCV and GluonNLP to allow for software distribution, modification, and usage. Full Article
age pyts: A Python Package for Time Series Classification By Published On :: 2020 pyts is an open-source Python package for time series classification. This versatile toolbox provides implementations of many algorithms published in the literature, preprocessing functionalities, and data set loading utilities. pyts relies on the standard scientific Python packages numpy, scipy, scikit-learn, joblib, and numba, and is distributed under the BSD-3-Clause license. Documentation contains installation instructions, a detailed user guide, a full API description, and concrete self-contained examples. Full Article
age Oriented first passage percolation in the mean field limit By projecteuclid.org Published On :: Mon, 04 May 2020 04:00 EDT Nicola Kistler, Adrien Schertzer, Marius A. Schmidt. Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 414--425.Abstract: The Poisson clumping heuristic has lead Aldous to conjecture the value of the oriented first passage percolation on the hypercube in the limit of large dimensions. Aldous’ conjecture has been rigorously confirmed by Fill and Pemantle ( Ann. Appl. Probab. 3 (1993) 593–629) by means of a variance reduction trick. We present here a streamlined and, we believe, more natural proof based on ideas emerged in the study of Derrida’s random energy models. Full Article
age A message from the editorial board By projecteuclid.org Published On :: Mon, 04 May 2020 04:00 EDT Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 203--203. Full Article
age A message from the editorial board By projecteuclid.org Published On :: Mon, 03 Feb 2020 04:00 EST Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 1, 1--1. Full Article
age Spatially adaptive Bayesian image reconstruction through locally-modulated Markov random field models By projecteuclid.org Published On :: Mon, 10 Jun 2019 04:04 EDT Salem M. Al-Gezeri, Robert G. Aykroyd. Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 3, 498--519.Abstract: The use of Markov random field (MRF) models has proven to be a fruitful approach in a wide range of image processing applications. It allows local texture information to be incorporated in a systematic and unified way and allows statistical inference theory to be applied giving rise to novel output summaries and enhanced image interpretation. A great advantage of such low-level approaches is that they lead to flexible models, which can be applied to a wide range of imaging problems without the need for significant modification. This paper proposes and explores the use of conditional MRF models for situations where multiple images are to be processed simultaneously, or where only a single image is to be reconstructed and a sequential approach is taken. Although the coupling of image intensity values is a special case of our approach, the main extension over previous proposals is to allow the direct coupling of other properties, such as smoothness or texture. This is achieved using a local modulating function which adjusts the influence of global smoothing without the need for a fully inhomogeneous prior model. Several modulating functions are considered and a detailed simulation study, motivated by remote sensing applications in archaeological geophysics, of conditional reconstruction is presented. The results demonstrate that a substantial improvement in the quality of the image reconstruction, in terms of errors and residuals, can be achieved using this approach, especially at locations with rapid changes in the underlying intensity. Full Article
age A temporal perspective on the rate of convergence in first-passage percolation under a moment condition By projecteuclid.org Published On :: Mon, 04 Mar 2019 04:00 EST Daniel Ahlberg. Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 2, 397--401.Abstract: We study the rate of convergence in the celebrated Shape Theorem in first-passage percolation, obtaining the precise asymptotic rate of decay for the probability of linear order deviations under a moment condition. Our results are presented from a temporal perspective and complement previous work by the same author, in which the rate of convergence was studied from the standard spatial perspective. Full Article
age Generating Thermal Image Data Samples using 3D Facial Modelling Techniques and Deep Learning Methodologies. (arXiv:2005.01923v2 [cs.CV] UPDATED) By arxiv.org Published On :: Methods for generating synthetic data have become of increasing importance to build large datasets required for Convolution Neural Networks (CNN) based deep learning techniques for a wide range of computer vision applications. In this work, we extend existing methodologies to show how 2D thermal facial data can be mapped to provide 3D facial models. For the proposed research work we have used tufts datasets for generating 3D varying face poses by using a single frontal face pose. The system works by refining the existing image quality by performing fusion based image preprocessing operations. The refined outputs have better contrast adjustments, decreased noise level and higher exposedness of the dark regions. It makes the facial landmarks and temperature patterns on the human face more discernible and visible when compared to original raw data. Different image quality metrics are used to compare the refined version of images with original images. In the next phase of the proposed study, the refined version of images is used to create 3D facial geometry structures by using Convolution Neural Networks (CNN). The generated outputs are then imported in blender software to finally extract the 3D thermal facial outputs of both males and females. The same technique is also used on our thermal face data acquired using prototype thermal camera (developed under Heliaus EU project) in an indoor lab environment which is then used for generating synthetic 3D face data along with varying yaw face angles and lastly facial depth map is generated. Full Article
age Risk-Aware Energy Scheduling for Edge Computing with Microgrid: A Multi-Agent Deep Reinforcement Learning Approach. (arXiv:2003.02157v2 [physics.soc-ph] UPDATED) By arxiv.org Published On :: In recent years, multi-access edge computing (MEC) is a key enabler for handling the massive expansion of Internet of Things (IoT) applications and services. However, energy consumption of a MEC network depends on volatile tasks that induces risk for energy demand estimations. As an energy supplier, a microgrid can facilitate seamless energy supply. However, the risk associated with energy supply is also increased due to unpredictable energy generation from renewable and non-renewable sources. Especially, the risk of energy shortfall is involved with uncertainties in both energy consumption and generation. In this paper, we study a risk-aware energy scheduling problem for a microgrid-powered MEC network. First, we formulate an optimization problem considering the conditional value-at-risk (CVaR) measurement for both energy consumption and generation, where the objective is to minimize the loss of energy shortfall of the MEC networks and we show this problem is an NP-hard problem. Second, we analyze our formulated problem using a multi-agent stochastic game that ensures the joint policy Nash equilibrium, and show the convergence of the proposed model. Third, we derive the solution by applying a multi-agent deep reinforcement learning (MADRL)-based asynchronous advantage actor-critic (A3C) algorithm with shared neural networks. This method mitigates the curse of dimensionality of the state space and chooses the best policy among the agents for the proposed problem. Finally, the experimental results establish a significant performance gain by considering CVaR for high accuracy energy scheduling of the proposed model than both the single and random agent models. Full Article
age Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization. (arXiv:2005.03510v1 [cs.CL]) By arxiv.org Published On :: Text summarization refers to the process that generates a shorter form of text from the source document preserving salient information. Recently, many models for text summarization have been proposed. Most of those models were evaluated using recall-oriented understudy for gisting evaluation (ROUGE) scores. However, as ROUGE scores are computed based on n-gram overlap, they do not reflect semantic meaning correspondences between generated and reference summaries. Because Korean is an agglutinative language that combines various morphemes into a word that express several meanings, ROUGE is not suitable for Korean summarization. In this paper, we propose evaluation metrics that reflect semantic meanings of a reference summary and the original document, Reference and Document Aware Semantic Score (RDASS). We then propose a method for improving the correlation of the metrics with human judgment. Evaluation results show that the correlation with human judgment is significantly higher for our evaluation metrics than for ROUGE scores. Full Article
age SmartExchange: Trading Higher-cost Memory Storage/Access for Lower-cost Computation. (arXiv:2005.03403v1 [cs.LG]) By arxiv.org Published On :: We present SmartExchange, an algorithm-hardware co-design framework to trade higher-cost memory storage/access for lower-cost computation, for energy-efficient inference of deep neural networks (DNNs). We develop a novel algorithm to enforce a specially favorable DNN weight structure, where each layerwise weight matrix can be stored as the product of a small basis matrix and a large sparse coefficient matrix whose non-zero elements are all power-of-2. To our best knowledge, this algorithm is the first formulation that integrates three mainstream model compression ideas: sparsification or pruning, decomposition, and quantization, into one unified framework. The resulting sparse and readily-quantized DNN thus enjoys greatly reduced energy consumption in data movement as well as weight storage. On top of that, we further design a dedicated accelerator to fully utilize the SmartExchange-enforced weights to improve both energy efficiency and latency performance. Extensive experiments show that 1) on the algorithm level, SmartExchange outperforms state-of-the-art compression techniques, including merely sparsification or pruning, decomposition, and quantization, in various ablation studies based on nine DNN models and four datasets; and 2) on the hardware level, the proposed SmartExchange based accelerator can improve the energy efficiency by up to 6.7$ imes$ and the speedup by up to 19.2$ imes$ over four state-of-the-art DNN accelerators, when benchmarked on seven DNN models (including four standard DNNs, two compact DNN models, and one segmentation model) and three datasets. Full Article
age CARL: Controllable Agent with Reinforcement Learning for Quadruped Locomotion. (arXiv:2005.03288v1 [cs.LG]) By arxiv.org Published On :: Motion synthesis in a dynamic environment has been a long-standing problem for character animation. Methods using motion capture data tend to scale poorly in complex environments because of their larger capturing and labeling requirement. Physics-based controllers are effective in this regard, albeit less controllable. In this paper, we present CARL, a quadruped agent that can be controlled with high-level directives and react naturally to dynamic environments. Starting with an agent that can imitate individual animation clips, we use Generative Adversarial Networks to adapt high-level controls, such as speed and heading, to action distributions that correspond to the original animations. Further fine-tuning through the deep reinforcement learning enables the agent to recover from unseen external perturbations while producing smooth transitions. It then becomes straightforward to create autonomous agents in dynamic environments by adding navigation modules over the entire process. We evaluate our approach by measuring the agent's ability to follow user control and provide a visual analysis of the generated motion to show its effectiveness. Full Article
age State Library creates a new space for Aboriginal communities to connect with their cultural heritage By feedproxy.google.com Published On :: Wed, 19 Feb 2020 23:11:15 +0000 Thursday 20 February 2020 In an Australian first, the State Library of NSW launched a new digital space for Aboriginal communities to connect with their histories and cultures. Full Article
age Public libraries report spike in demand for books in language By feedproxy.google.com Published On :: Mon, 16 Mar 2020 21:59:03 +0000 Tuesday 17 March 2020 NSW residents are reading more and more books in languages other than English than ever before with the State Library of NSW reporting a 20% increase in requests from public libraries for multicultural material just in the last 12 months. Full Article
age Bayesian Random-Effects Meta-Analysis Using the bayesmeta R Package By www.jstatsoft.org Published On :: Mon, 27 Apr 2020 00:00:00 +0000 The random-effects or normal-normal hierarchical model is commonly utilized in a wide range of meta-analysis applications. A Bayesian approach to inference is very attractive in this context, especially when a meta-analysis is based only on few studies. The bayesmeta R package provides readily accessible tools to perform Bayesian meta-analyses and generate plots and summaries, without having to worry about computational details. It allows for flexible prior specification and instant access to the resulting posterior distributions, including prediction and shrinkage estimation, and facilitating for example quick sensitivity checks. The present paper introduces the underlying theory and showcases its usage. Full Article
age mvord: An R Package for Fitting Multivariate Ordinal Regression Models By www.jstatsoft.org Published On :: Sat, 18 Apr 2020 03:35:08 +0000 The R package mvord implements composite likelihood estimation in the class of multivariate ordinal regression models with a multivariate probit and a multivariate logit link. A flexible modeling framework for multiple ordinal measurements on the same subject is set up, which takes into consideration the dependence among the multiple observations by employing different error structures. Heterogeneity in the error structure across the subjects can be accounted for by the package, which allows for covariate dependent error structures. In addition, different regression coefficients and threshold parameters for each response are supported. If a reduction of the parameter space is desired, constraints on the threshold as well as on the regression coefficients can be specified by the user. The proposed multivariate framework is illustrated by means of a credit risk application. Full Article
age Semi-Parametric Joint Modeling of Survival and Longitudinal Data: The R Package JSM By www.jstatsoft.org Published On :: Sat, 18 Apr 2020 03:35:08 +0000 This paper is devoted to the R package JSM which performs joint statistical modeling of survival and longitudinal data. In biomedical studies it has been increasingly common to collect both baseline and longitudinal covariates along with a possibly censored survival time. Instead of analyzing the survival and longitudinal outcomes separately, joint modeling approaches have attracted substantive attention in the recent literature and have been shown to correct biases from separate modeling approaches and enhance information. Most existing approaches adopt a linear mixed effects model for the longitudinal component and the Cox proportional hazards model for the survival component. We extend the Cox model to a more general class of transformation models for the survival process, where the baseline hazard function is completely unspecified leading to semiparametric survival models. We also offer a non-parametric multiplicative random effects model for the longitudinal process in JSM in addition to the linear mixed effects model. In this paper, we present the joint modeling framework that is implemented in JSM, as well as the standard error estimation methods, and illustrate the package with two real data examples: a liver cirrhosis data and a Mayo Clinic primary biliary cirrhosis data. Full Article
age Medieval Ideas about Infertility and Old Age By blog.wellcomelibrary.org Published On :: Fri, 12 Jan 2018 11:01:15 +0000 The next seminar in the 2017–18 History of Pre-Modern Medicine seminar series takes place on Tuesday 16 January. Speaker: Dr Catherine Rider (University of Exeter) Medieval Ideas about Infertility and Old Age Abstract: When they discussed fertility and reproductive disorders it was common… Continue reading Full Article Early Medicine Events and Visits Early Health and Well-being
age COVID-19 in-language resources By feedproxy.google.com Published On :: Mon, 06 Apr 2020 05:20:15 +0000 Full Article
age The Library wants your self-isolation images By feedproxy.google.com Published On :: Wed, 08 Apr 2020 22:26:48 +0000 The State Library launched a new collecting drive on Instagram today called #NSWathome to ensure your self-isolation images become part of the historic record. Full Article
age Translational neuroscience of speech and language disorders By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030356873 (electronic bk.) Full Article
age Structured object-oriented formal language and method : 9th International Workshop, SOFL+MSVL 2019, Shenzhen, China, November 5, 2019, Revised selected papers By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: SOFL+MSVL (Workshop) (9th : 2019 : Shenzhen, China)Callnumber: OnlineISBN: 9783030414184 (electronic bk.) Full Article
age Science and practice of pressure ulcer management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9781447174134 (electronic bk.) Full Article
age Salt, fat and sugar reduction : sensory approaches for nutritional reformulation of foods and beverages By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: O'Sullivan, Maurice G., authorCallnumber: OnlineISBN: 9780128226124 (electronic bk.) Full Article
age Prevention of chronic diseases and age-related disability By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783319965291 (electronic bk.) Full Article
age Plant-fire interactions : applying ecophysiology to wildfire management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: Resco de Dios, Víctor, authorCallnumber: OnlineISBN: 9783030411923 (electronic book) Full Article
age Phytomanagement of fly ash By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: Pandey, Vimal Chandra, authorCallnumber: OnlineISBN: 9780128185452 (electronic bk.) Full Article
age Personalized food intervention and therapy for autism spectrum disorder management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030304027 (electronic bk.) Full Article
age Management of fractured endodontic instruments : a clinical guide By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783319606514 (electronic bk.) Full Article
age Management of Hereditary Colorectal Cancer By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030262341 978-3-030-26234-1 Full Article
age Integrated pest and disease management in greenhouse crops By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030223045 electronic book Full Article
age Healthcare-associated infections in children : a guide to prevention and management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783319981222 (electronic bk.) Full Article
age Gapenski's understanding healthcare financial management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: Pink, George H., author.Callnumber: OnlineISBN: 9781640551145 (electronic bk.) Full Article
age Fractures in the elderly : a guide to practical management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783319722283 (electronic bk.) Full Article
age Deep learning in medical image analysis : challenges and applications By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030331283 (electronic bk.) Full Article
age DNA beyond genes : from data storage and computing to nanobots, nanomedicine, and nanoelectronics By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: Demidov, Vadim V., authorCallnumber: OnlineISBN: 9783030364342 (electronic bk.) Full Article
age Current microbiological research in Africa : selected applications for sustainable environmental management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030352967 (electronic bk.) Full Article
age Computational processing of the Portuguese language : 14th International Conference, PROPOR 2020, Evora, Portugal, March 2-4, 2020, Proceedings By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Author: PROPOR (Conference) (14th : 2020 : Evora, Portugal)Callnumber: OnlineISBN: 9783030415051 (electronic bk.) Full Article
age Compression and chronic wound management By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783030011956 (electronic book) Full Article
age Biologic and systemic agents in dermatology By dal.novanet.ca Published On :: Fri, 1 May 2020 19:44:43 -0300 Callnumber: OnlineISBN: 9783319668840 (electronic bk.) Full Article