North Carolina teachers had press conferences in seven locations across the state to criticize education spending levels.

"This document is intended to summarise the current state, understanding and the use of seismic reflection method for mineral exploration. Its primary objective is to provide a point of reference, based on actual case studies, for mineral explorers interested in the application of seismic methods to their project. It provides summary information (including the purpose of the survey, acquisition methods, geometry and cost, processing procedures and key findings) that are intended to provide the reader with an objective means of assessing the cost effectiveness of the technique with respect to exploration objectives. It is also aimed at exchange of information between DETCRC sponsors, affiliates and researchers. Finally we hope that this table will help in shaping future research efforts and direction within Project 3.1, regarding the application of seismic for mineral exploration.This is only initial work and it is hoped that it will evolve into a document or a catalogue that will be extensively used by the mineral industry to achieve their exploration objectives in more efficient and effective way" -- Executive summary.

Women rock musicians -- Interviews.

Goal (Psychology)

Neurosciences.

Edinburgh : And Bell and Bradfute, and E. Balfour, 1801.

London : printed for B. and J. White, 1797.

London : D. Bogue, 1881.

London : Smith, Elder, 1879.

Paris : Trouvé, 1822.

London : John Murray, 1876.

London : J. & A. Churchill, 1873.

If we want to work towards true inclusivity, we must show that perpetuating oppressive beliefs, intentional or not, has a consequence on something or someone other than those oppressed.

A Paris : Chez Iean Dhourry, au bout du Pont-Neuf, près les Augustins, à l'Image S. Iean, M. DC. LXI. [1661]

[19--?]

There have been so many great hockey images taken by photographers. We choose our top three shots ranging from Stanley Cup celebations to iconic moments.

Since the day she stepped on campus, Satou Sabally's game has turned heads — and for good reason. She's had many memorable moments in a Duck uniform, including a standout performance against the USA Women in Nov. 2019, a monster game against Cal in Jan. 2020 and a career performance in Pullman in Jan. 2019.

Increasing number of sectors which affect human lives, are using Machine Learning (ML) tools. Hence the need for understanding their working mechanism and evaluating their fairness in decision-making, are becoming paramount, ushering in the era of Explainable AI (XAI). In this contribution we introduced a few intrinsically interpretable models which are also capable of dealing with missing values, in addition to extracting knowledge from the dataset and about the problem. These models are also capable of visualisation of the classifier and decision boundaries: they are the angle based variants of Learning Vector Quantization. We have demonstrated the algorithms on a synthetic dataset and a real-world one (heart disease dataset from the UCI repository). The newly developed classifiers helped in investigating the complexities of the UCI dataset as a multiclass problem. The performance of the developed classifiers were comparable to those reported in literature for this dataset, with additional value of interpretability, when the dataset was treated as a binary class problem.

Machine learning models with both good predictability and high interpretability are crucial for decision support systems. Linear regression is one of the most interpretable prediction models. However, the linearity in a simple linear regression worsens its predictability. In this work, we introduce a locally adaptive interpretable regression (LoAIR). In LoAIR, a metamodel parameterized by neural networks predicts percentile of a Gaussian distribution for the regression coefficients for a rapid adaptation. Our experimental results on public benchmark datasets show that our model not only achieves comparable or better predictive performance than the other state-of-the-art baselines but also discovers some interesting relationships between input and target variables such as a parabolic relationship between CO2 emissions and Gross National Product (GNP). Therefore, LoAIR is a step towards bridging the gap between econometrics, statistics, and machine learning by improving the predictive ability of linear regression without depreciating its interpretability.

Ridge regression (RR) is a regularization technique that penalizes the L2-norm of the coefficients in linear regression. One of the challenges of using RR is the need to set a hyperparameter ($alpha$) that controls the amount of regularization. Cross-validation is typically used to select the best $alpha$ from a set of candidates. However, efficient and appropriate selection of $alpha$ can be challenging, particularly where large amounts of data are analyzed. Because the selected $alpha$ depends on the scale of the data and predictors, it is not straightforwardly interpretable. Here, we propose to reparameterize RR in terms of the ratio $gamma$ between the L2-norms of the regularized and unregularized coefficients. This approach, called fractional RR (FRR), has several benefits: the solutions obtained for different $gamma$ are guaranteed to vary, guarding against wasted calculations, and automatically span the relevant range of regularization, avoiding the need for arduous manual exploration. We provide an algorithm to solve FRR, as well as open-source software implementations in Python and MATLAB (https://github.com/nrdg/fracridge). We show that the proposed method is fast and scalable for large-scale data problems, and delivers results that are straightforward to interpret and compare across models and datasets.

Yicheng Li, Adrian E. Raftery.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 381--408.

Abstract:
Smoking is one of the leading preventable threats to human health and a major risk factor for lung cancer, upper aerodigestive cancer and chronic obstructive pulmonary disease. Estimating and forecasting the smoking attributable fraction (SAF) of mortality can yield insights into smoking epidemics and also provide a basis for more accurate mortality and life expectancy projection. Peto et al. ( Lancet 339 (1992) 1268–1278) proposed a method to estimate the SAF using the lung cancer mortality rate as an indicator of exposure to smoking in the population of interest. Here, we use the same method to estimate the all-age SAF (ASAF) for both genders for over 60 countries. We document a strong and cross-nationally consistent pattern of the evolution of the SAF over time. We use this as the basis for a new Bayesian hierarchical model to project future male and female ASAF from over 60 countries simultaneously. This gives forecasts as well as predictive distributions that can be used to find uncertainty intervals for any quantity of interest. We assess the model using out-of-sample predictive validation and find that it provides good forecasts and well-calibrated forecast intervals, comparing favorably with other methods.

Leif Döring, Philip Weissmann.

Source: Bernoulli, Volume 26, Number 2, 980--1015.

Abstract:
Conditioning stable Lévy processes on zero probability events recently became a tractable subject since several explicit formulas emerged from a deep analysis using the Lamperti transformations for self-similar Markov processes. In this article, we derive new harmonic functions and use them to explain how to condition stable processes to hit continuously a compact interval from the outside.

Stepan Mazur, Dmitry Otryakhin, Mark Podolskij.

Source: Bernoulli, Volume 26, Number 1, 226--252.

Abstract:
In this paper, we investigate the parametric inference for the linear fractional stable motion in high and low frequency setting. The symmetric linear fractional stable motion is a three-parameter family, which constitutes a natural non-Gaussian analogue of the scaled fractional Brownian motion. It is fully characterised by the scaling parameter $sigma>0$, the self-similarity parameter $Hin(0,1)$ and the stability index $alphain(0,2)$ of the driving stable motion. The parametric estimation of the model is inspired by the limit theory for stationary increments Lévy moving average processes that has been recently studied in ( Ann. Probab. 45 (2017) 4477–4528). More specifically, we combine (negative) power variation statistics and empirical characteristic functions to obtain consistent estimates of $(sigma,alpha,H)$. We present the law of large numbers and some fully feasible weak limit theorems.

Antony Overstall, James McGree.

Source: Bayesian Analysis, Volume 15, Number 1, 103--131.

Abstract:
A Bayesian design is given by maximising an expected utility over a design space. The utility is chosen to represent the aim of the experiment and its expectation is taken with respect to all unknowns: responses, parameters and/or models. Although straightforward in principle, there are several challenges to finding Bayesian designs in practice. Firstly, the utility and expected utility are rarely available in closed form and require approximation. Secondly, the design space can be of high-dimensionality. In the case of intractable likelihood models, these problems are compounded by the fact that the likelihood function, whose evaluation is required to approximate the expected utility, is not available in closed form. A strategy is proposed to find Bayesian designs for intractable likelihood models. It relies on the development of an automatic, auxiliary modelling approach, using multivariate Gaussian process emulators, to approximate the likelihood function. This is then combined with a copula-based approach to approximate the marginal likelihood (a quantity commonly required to evaluate many utility functions). These approximations are demonstrated on examples of stochastic process models involving experimental aims of both parameter estimation and model comparison.

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Cracked or broken mobile device screens can be costly to fix, but a few inexpensive DIY strategies can eliminate a repair shop visit and salvage your tablet or phone. It is relatively easy and cheap to replace the glass on a phone once you get the hang of it. Tablets are a bit more involved because of the larger size and added components. Tools might require an additional monetary outlay.

Enjoy a low-cost, healthy diet from your very own vegetable garden and get the chance to make money by selling your own products. Start your own vegetable garden to grow, prepare and eat your own delicious fruits and vegetables with these tips: Do your research: When you begin your own vegetable garden you should understand the type of soil you work [...]

Four years into the 2030 Agenda, there is still a large gap in data to understand where the world stands in achieving its shared goals, the SDGs. To support [...]

The findings further refute the outdated notion that humans' capacity for complex artistic expression evolved exclusively in Europe

Root vegetables like rutabagas and Jerusalem artichokes were ration staples during the Nazi occupation of Paris

Press release about Basel Committee assesses members' implementation of the Net Stable Funding Ratio and large exposures framework, 19 March 2020

Matteo Tranchellini and Moreno Monti created a coffee table book called CHICken to showcase the natural beauty of the ubiquitous birds.

The post Teaching and Learning SOLIDWORKS from the Kitchen Table appeared first on SOLIDWORKS Education Blog.

Being able to have an overview of changes to designs since initial release is an important aspect to time-efficient engineering. Making use of an automatically updated revision table helps with that.  What version are we using? Who has made these

Author information

The post How to set up an automatically updated revision table appeared first on SOLIDWORKS Tech Blog.

Rex from the USA, volunteered for two months in the Baseball and Softball Programme alongside OMers Terry Lingenhoel and Suzanne Cole this spring.

Inexpensive tablets can make great ebook readers, video players, or web browsers, and some of our top picks are well below the $100 mark. Here's how to find the right balance of price and features.

For a limited time, the 7-inch Fire 7 Kids Edition is $40 off while the 8- and 10-inch models are both $50 off. These tablets make a great gift for 3-to-12-year olds.

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.

Can't get your hands on your own iPad? Kids love tablets, but which is the right one for them? Check out our top picks to keep your kids educated and entertained.

Tablets are great for playing games, reading, homework, keeping kids entertained in the back seat of the car, and a whole lot more. Whether you're looking for an Android or Apple slate, here's what to consider, along with reviews of the best tablets we've tested.

Nicola Sturgeon won plaudits from some unlikely quarters this week for her “grown-up conversation” on lifting the lockdown.

Birth defects are associated with preterm birth and are a major contributor to infant mortality. There are persistent black-white differences in overall infant mortality and infant mortality attributable to birth defects.

Among infants delivered at 37 to 44 weeks, blacks and Hispanics had significantly higher neonatal and postneonatal mortality attributable to birth defects than whites. Among infants delivered at 20 to 33 or 34 to 36 weeks, neonatal mortality attributable to birth defects was significantly lower among blacks. (Read the full article)

Childhood obesity is a public health concern. Although determinants of childhood overweight have been identified and their effect sizes have been calculated, prevention as well as treatment have had limited success.

We have calculated the population-based relevance of determinants of childhood overweight by using attributable risks, which can be interpreted as maximum success rates of preventive measures. New concepts were applied to estimate the relative contribution of each risk factor. (Read the full article)

A previous study of inflatable bouncer–related fractures has shown that upper extremity fractures are most common, and many fractures are caused by collisions; however, no study has examined nonfracture injuries or used nationally representative data to investigate inflatable bouncer–related injuries.

This is the first study to use nationally representative data to calculate national injury rates, assess risk factors, and examine trends for pediatric inflatable bouncer–related injuries treated in US emergency departments over a 21-year period (1990–2010). (Read the full article)

The eating of non–nutrient dense snack foods is considered a major factor contributing to childhood obesity. Parents are often ineffective at encouraging healthier snacking habits.

Children consumed fewer calories when snacking on nutrient-rich cheese and vegetables compared with when they were served potato chips. (Read the full article)