1 April 2020

To imagine earth without greenhouse gases in its atmosphere is to turn the familiar blue marble into a barren lump of rock and ice on which the average surface temperature hovers around -18ºC. Such a planet would not receive less of the sunlight which is the ultimate source of all Earth's warmth. But when the energy it absorbed from the sunlight was re-emitted as infrared radiation, as the laws of physics require, it would head unimpeded back out into space.

1 April 2020

1 April 2020

To work safely, self-driving cars must avoid obstacles -- including those just out of sight. And for this to happen, we need technology that sees better than humans can, says electrical engineer David Lindell. Buckle up for a quick, groundbreaking tech demo as Lindell explains the significant and versatile potential of a high-speed camera that can detect objects hidden around corners.

"A special challenge of hard rock exploration is to identify targets of interest within complex geological settings. Interpretation of the geology can be made from direct geological observations and knowledge of the area, and from 2D or 3D seismic surveys. These interpretations can be developed into 3D geological models that provide the basis for predictions as to likely targets for drilling and/or mining. To verify these predictions we need to simulate 3D seismic wave propagation in the proposed geological models and compare the simulation results to seismic survey data. To achieve this we convert geological surfaces created in an interpretation software package into discretised block models representing the different lithostratigraphic units, and segment these into discrete volumes to which appropriate density and seismic velocity values are assigned. This approach allows us to scale models appropriately for desired wave propagation parameters and to go from local to global geological models and vice versa. Then we use these digital models with forward modelling codes to undertake numerous 3D acoustic wave simulations. Simulations are performed with single shot and with exploding reflector (located on extracted geological surface) configurations" -- Summary.

Torino : Rosenberg & Sellier, 1890.

Berlin : R. Oppenheim, 1879.

[London?] : [Endell Street Military Hospital?], [1920] (Harlesden, London N.W. 10 : Leveridge & Co.)

Flávio B. Gonçalves, Bárbara C. C. Dias.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 4, 782--800.

Abstract:
Educational assessment usually considers a contextual questionnaire to extract relevant information from the applicants. This may include items related to socio-economical profile as well as items to extract other characteristics potentially related to applicant’s performance in the test. A careful analysis of the questionnaires jointly with the test’s results may evidence important relations between profiles and test performance. The most coherent way to perform this task in a statistical context is to use the information from the questionnaire to help explain the variability of the abilities in a joint model-based approach. Nevertheless, the responses to the questionnaire typically present missing values which, in some cases, may be missing not at random. This paper proposes a statistical methodology to model the abilities in dichotomous IRT models using the information of the contextual questionnaires via linear regression. The proposed methodology models the missing data jointly with the all the observed data, which allows for the estimation of the former. The missing data modelling is flexible enough to allow the specification of missing not at random structures. Furthermore, even if those structures are not assumed a priori, they can be estimated from the posterior results when assuming missing (completely) at random structures a priori. Statistical inference is performed under the Bayesian paradigm via an efficient MCMC algorithm. Simulated and real examples are presented to investigate the efficiency and applicability of the proposed methodology.

Rodrigo Citton P. dos Reis, Enrico A. Colosimo, Gustavo L. Gilardoni.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 2, 374--396.

Abstract:
In the data analysis from multiple repairable systems, it is usual to observe both different truncation times and heterogeneity among the systems. Among other reasons, the latter is caused by different manufacturing lines and maintenance teams of the systems. In this paper, a hierarchical model is proposed for the statistical analysis of multiple repairable systems under different truncation times. A reparameterization of the power law process is proposed in order to obtain a quasi-conjugate bayesian analysis. An empirical Bayes approach is used to estimate model hyperparameters. The uncertainty in the estimate of these quantities are corrected by using a parametric bootstrap approach. The results are illustrated in a real data set of failure times of power transformers from an electric company in Brazil.

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.

Alex Diana, Eleni Matechou, Jim Griffin, Alison Johnston.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 473--493.

Abstract:
Environmental changes in recent years have been linked to phenological shifts which in turn are linked to the survival of species. The work in this paper is motivated by capture-recapture data on blackcaps collected by the British Trust for Ornithology as part of the Constant Effort Sites monitoring scheme. Blackcaps overwinter abroad and migrate to the UK annually for breeding purposes. We propose a novel Bayesian nonparametric approach for expressing the bivariate density of individual arrival and departure times at different sites across a number of years as a mixture model. The new model combines the ideas of the hierarchical and the dependent Dirichlet process, allowing the estimation of site-specific weights and year-specific mixture locations, which are modelled as functions of environmental covariates using a multivariate extension of the Gaussian process. The proposed modelling framework is extremely general and can be used in any context where multivariate density estimation is performed jointly across different groups and in the presence of a continuous covariate.

Y. X. Rachel Wang, Purnamrita Sarkar, Oana Ursu, Anshul Kundaje, Peter J. Bickel.

Source: The Annals of Applied Statistics, Volume 13, Number 3, 1511--1536.

Abstract:
Chromosome conformation capture experiments such as Hi-C are used to map the three-dimensional spatial organization of genomes. One specific feature of the 3D organization is known as topologically associating domains (TADs), which are densely interacting, contiguous chromatin regions playing important roles in regulating gene expression. A few algorithms have been proposed to detect TADs. In particular, the structure of Hi-C data naturally inspires application of community detection methods. However, one of the drawbacks of community detection is that most methods take exchangeability of the nodes in the network for granted; whereas the nodes in this case, that is, the positions on the chromosomes, are not exchangeable. We propose a network model for detecting TADs using Hi-C data that takes into account this nonexchangeability. In addition, our model explicitly makes use of cell-type specific CTCF binding sites as biological covariates and can be used to identify conserved TADs across multiple cell types. The model leads to a likelihood objective that can be efficiently optimized via relaxation. We also prove that when suitably initialized, this model finds the underlying TAD structure with high probability. Using simulated data, we show the advantages of our method and the caveats of popular community detection methods, such as spectral clustering, in this application. Applying our method to real Hi-C data, we demonstrate the domains identified have desirable epigenetic features and compare them across different cell types.

Peter J. Diggle, Emanuele Giorgi, Julienne Atsame, Sylvie Ntsame Ella, Kisito Ogoussan, Katherine Gass.

Source: Statistical Science, Volume 35, Number 1, 42--50.

Abstract:
Vector-borne diseases have long presented major challenges to the health of rural communities in the wet tropical regions of the world, but especially in sub-Saharan Africa. In this paper, we describe the contribution that statistical modelling has made to the global elimination programme for one vector-borne disease, onchocerciasis. We explain why information on the spatial distribution of a second vector-borne disease, Loa loa, is needed before communities at high risk of onchocerciasis can be treated safely with mass distribution of ivermectin, an antifiarial medication. We show how a model-based geostatistical analysis of Loa loa prevalence survey data can be used to map the predictive probability that each location in the region of interest meets a WHO policy guideline for safe mass distribution of ivermectin and describe two applications: one is to data from Cameroon that assesses prevalence using traditional blood-smear microscopy; the other is to Africa-wide data that uses a low-cost questionnaire-based method. We describe how a recent technological development in image-based microscopy has resulted in a change of emphasis from prevalence alone to the bivariate spatial distribution of prevalence and the intensity of infection among infected individuals. We discuss how statistical modelling of the kind described here can contribute to health policy guidelines and decision-making in two ways. One is to ensure that, in a resource-limited setting, prevalence surveys are designed, and the resulting data analysed, as efficiently as possible. The other is to provide an honest quantification of the uncertainty attached to any binary decision by reporting predictive probabilities that a policy-defined condition for action is or is not met.

Italian translation of Press Release about BIS General Manager Agustín Carstens giving a speech on "Money in the digital age: what role for central banks?" (6 February 2018)

Italian translation of the Press Release on the pre-release of two special chapters of the Annual Economic Report of the BIS, 17 June 2018. Trust is the missing link in today's cryptocurrencies - Cryptocurrencies' model of generating trust limits their potential to replace conventional money, the Bank for International Settlements (BIS) writes in its Annual Economic Report (AER), a new title launched this year.

Bank of England Working Papers by Aydan Dogan and Ida Hjortsoe

It’s always interesting to know about some cool tricks that you can use when it comes to modelling within SOLIDWORKS. Well, within this blog we just happen to have one of those tricks for you. They always say a magician never

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Dell's Latitude 7220 Rugged Extreme Tablet lives up to its name by laughing at drops, splashes, and temperatures that would blow the average slate to smithereens. It's ideal for first responders and factory floors.

Today you can save $120 on the Lenovo Flex 14 2-in-1 laptop. Also, the 24-inch Dell S2419HGF 1080p monitor dropped is now just $149.99. Finally, the new Nintendo Switch, featuring improved battery life, is now available.

For a limited time, you can get a Dell Optiplex 9020 Micro computer for as low as $269.99 with a full 1-year warranty as part of an off-lease refurbished sale from the PCMag Shop.

Dell's SAVE15 coupon is still live, the Dell Vostro 14 3000 is back down to just $299, and Walmart's Overpowered gaming desktop is $800 off right now.

Save on the second-generation Apple AirPods with the wireless charging case, Logitech gaming gear, Dell laptops, the Nintendo Switch, and more today.

Snag the Samsung EVO Select 512GB microSDXC card for $88, one of its lowest prices ever. Also, the 75-inch Samsung QLED 4K TV is more than $1,000 off and a Dell XPS 15 is $300 off.

The Logitech C920 1080p webcam is back down to its Prime Day price, the 65-inch Vizio P-Series Quantum 4K TV is on sale for less than $1,000, and you can grab the new Dell Inspiron 15 5000 plus a $100 Visa prepaid card for just $600.

The start of November has brought a ton of great deals, with some matching last year's Black Friday prices. The 512GB Samsung EVO Select microSDXC card is only $78.

The popular Netgear Nighthawk R6700 wireless router is just $68 right now. Plus, you can save on a 32-inch Dell monitor and Apple AirPods with the wireless charging case.

The Netgear Nighthawk AX4 Wi-Fi 6 router is $100 off, the Dell XPS 8930 Special Edition gaming desktop is $250 off, and Amazon is offering up to 40 percent off Eufy robot vacuums.

Today there are discounts on the Dell Insprion 15 5000 laptop, 12.9-inch iPad Pro, a few SSD and HDD storage devices, the second-generation AirPods, and more.

Priced this low, it could sell out at any moment, and this deal is only valid until January 19, so order now.

Amazon is offering up to 34 percent off Samsung monitors and tablets today. Plus, you can save on the Dell XPS 15 and pre-order Nintendo Switch Animal Crossing: New Horizons Edition.

The Dell 27 USB-C Monitor (P2720DC) offers a broad port selection, a range of ergonomic features, and bright, realistic-looking colors. Its practically automatic daisy-chaining to a second display is a bonus.

Dell's Precision 7920 Tower workstation is a dual-CPU monster for tasks that can leverage its server-grade hardware and require maximum reliability. Just be prepared for sticker shock if you go all-in like on our test model.

Dell has some Doorbuster Deals that will not last long. Also, the Instant Pot DUO60 is back at $49.99. Plus, Prime members can grab a Ring Video Doorbell Pro and Echo Dot for $169.

The Dell PowerEdge T30 is back at $299, the AMD Ryzen Threadripper 2920X is just $382, and the 55-inch LG B8 OLED 4K TV is only $1,047.

Use the coupon code below to get this $788 server for less than $300.

The Apple Watch Series 4 smartwatch is back at $359, matching its Prime Day price. Plus, Dell is offering an extra 15 percent off select XPS laptops. Finally, the Roomba 891 is just $380.

With its stylish, mostly aluminum design and peppy everyday performance, the Dell Inspiron 13 5000 offers solid-enough ultraportable value. We'd just like a sunnier screen and roomier storage options.

When it comes to 15.6-inch laptops, mobile workstations make gaming rigs look like wimps—and the new king of the hill is Dell's costly but colossal Precision 7540, tested in a maxed-out Xeon/Quadro RTX configuration.

Review of: Modelling Transitions: Virtues, Vices, Visions of the Future by Moallemi, Enayat A. and de Haan, Fjalar J. (Eds.), reviewed by Cesar Garcia-Diaz

  Introduction Intel®  VTune™ Amplifier 2014 for Systems is part of the Intel® System Studio suite of tools supporting both the mobile and embedded markets. This article will demon...

He had highlighted how cricket had inculcated various attributes in him, right from teamwork to competing with passion.

Microsoft set to unveil details about Windows 10 that can adapt PC applications to mobile devices

ESPN's team of college writers and reporters reflects on the amazing plays they've seen during their decades of collective coverage.