There’s no perfect process for hiring great programmers, but there are plenty of terrible ways to screw it up. We’ve rejected the industry stables of grilling candidates in front of a whiteboard or needling them with brain teasers since the start at Basecamp. But you’re not getting around showing real code when applying for a… keep reading

The Les Arcs Co-Production village, running December 13-16 within the Les Arcs European Film Festival (Dec 13-20), will present 25 projects in development and a further 10 works-in-progress. Several of the projects chosen for this year’s event are Irish films and films with Irish producers’ backing.

(Dartmouth College) Annual award supports the research and teaching careers of talented young faculty in the chemical sciences.

Lindsay K Pino
Apr 20, 2020; 0:P119.001913v1-mcp.P119.001913
Perspective

No abstract

Data independent acquisition (DIA) is an attractive alternative to standard shotgun proteomics methods for quantitative experiments. However, most DIA methods require collecting exhaustive, sample-specific spectrum libraries with data dependent acquisition (DDA) to detect and quantify peptides. In addition to working with non-human samples, studies of splice junctions, sequence variants, or simply working with small sample yields can make developing DDA-based spectrum libraries impractical. Here we illustrate how to acquire, queue, and validate DIA data without spectrum libraries, and provide a workflow to efficiently generate DIA-only chromatogram libraries using gas-phase fractionation (GPF). We present best-practice methods for collecting DIA data using Orbitrap-based instruments, and develop an understanding for why DIA using an Orbitrap mass spectrometer should be approached differently than when using time-of-flight instruments. Finally, we discuss several methods for analyzing DIA data without libraries.

As France has moved in recent weeks to clear camps where migrants stay while trying to cross illegally into Britain, Médecins Sans Frontières has just opened a new one. Sophie Arie talks to Caroline Gollé, medical coordinator at the Médecins Sans Frontières​ La Linière camp​. Read more about the camp: http://www.bmj.com/content/352/bmj.i1696

Delirium is common in the last weeks or days of life. It can be distressing for patients and those around them. A clinical update explains why successful management involves excluding reversible causes of delirium and balancing drugs that may provoke or maintain delirium while appreciating that most patients want to retain clear cognition at the...

Terence Stephenson is a consultant paediatrician who became been chair of the General Medical Council in 2015. His 4 year tenure has now come to an end, but during his time with the regulator the medical profession faced a number of challenges - the case of Hadiza Bawa Garba and a growing recruitment crisis in the NHS - the GMC is the...

We continue the positive reinforcement of humane spirit and action when humanity, as a collective, is grappling with an unprecedented calamity. “We shall overcome” is the mantra, and going by the ­indomitable strength we possess, we ­definitely...

We continue our journey highlighting the journey of Peace Corps volunteers (PCV). In this third and final instalment, the underlying and broad message is that volunteerism is a combination of one’s personal choices, external influences, and a keen...

Given diverging demographics, rising educational attainment and wide variation in economic opportunities, countries in the Association of Southeast Asian Nations are poised to see an expansion of both the demand for and supply of skilled migrants willing and able to move. The convergence of these megatrends represents unique opportunities for human-capital development and brain circulation, as this report explores.

OBJECTIVE

To evaluate and compare the efficacy of long-term use of low-dose aspirin for the prevention of dementia in men and women.

i even got this from pro trans page that say they have laws banning men from women's room & trans aka GD was put into mad house, & even then there been alot of time where rapists &perverted freaks been using other Gender's bath room too doesn't make it right, they go to prison if they find out

What band was he with before?

Recently, Abigail Thompson, a Vice President of the AMS and Professor at UC Davis, wrote a short opinion piece coming out against the use of diversity statements in hiring. As I read her piece, I found myself troubled by some … Continue reading →

As the top destination in Europe for asylum seekers in recent years, Germany has rolled out a number of integration policy changes. Based on an early look at how newcomers’ integration is progressing, the report finds the policies have had ambiguous implications. The report also provides insights into the demographic and socioeconomic characteristics of the asylum seeker and refugee population.

It's one that came from the Portuguese colony of Mozambique. Don't let the chili put you off, I've got a two year old daughter who loves this. I used to wonder how the Portuguese got this level of flavour and the trick is, in the marinade, use lemon juice or vinegar. The acid cuts right through and gives a level of authenticity.

By Emily Reynolds. Participants whose self-esteem was based on financial success felt more lonely and disconnected from others.

The state's "Influence 100" project includes a leadership development program that will give aspiring district leaders a hands-on opportunity to work through an equity issue in their home districts.

Districts that can screen, interview, and select candidates virtually will have less disruption to their hiring, despite how coronavirus is upending every aspect of school operations.

The firing of a black staff member for repeating the n-word while telling a black student not to use it underscores how uneasy many districts, schools, and educators are with handling the use of racist language in any context.

Exploring and Affirming My Life is designed to v help the reader undertake a personal exploration of his or her own life. Often important life issues get overlooked in the bustle of modern living and a guided encouragement to find issues that need to be celebrated or need to be reconciled helps as we grow older. Reminiscence can be a natural process of life but on its own it doesn't always bring out those things we need to focus upon. This book encourages the reader to look at spiritual issues particularly, and to find the joy and the forgiveness which comes when our lives are in tune with the wonderful God who loves us so deeply.

Women -- South Australia -- Biography.

A Paris (rue des deux portes, St André des arts no. 7) : chez Noel et c.ie, [1820?] ([Paris?] : Litho. de F. Noel)

[Dublin] : National Art Union for Ireland, [between 1847 and 1851?]

[London], [1795]

Nathel Burtley, 79, was a lifelong educator who led the Flint, Mich., school system, paving the way for other African-American educators to become the heads of districts. He died earlier this month from the coronavirus.

Pac-12 Networks' Mike Yam has a conversation with UCLA's Natalie Chou during Wednesday's "Pac-12 Perspective" podcast. Chou reflects on her role models, passion for basketball and how her mom has made a big impact on her hoops career.

Glaura C. Franco, Helio S. Migon, Marcos O. Prates.

Source: Brazilian Journal of Probability and Statistics, Volume 33, Number 4, 756--781.

Abstract:
Observation and parameter driven models are commonly used in the literature to analyse time series of counts. In this paper, we study the characteristics of a variety of models and point out the main differences and similarities among these procedures, concerning parameter estimation, model fitting and forecasting. Alternatively to the literature, all inference was performed under the Bayesian paradigm. The models are fitted with a latent AR($p$) process in the mean, which accounts for autocorrelation in the data. An extensive simulation study shows that the estimates for the covariate parameters are remarkably similar across the different models. However, estimates for autoregressive coefficients and forecasts of future values depend heavily on the underlying process which generates the data. A real data set of bankruptcy in the United States is also analysed.

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.

The notion of incremental learning is to train an ANN algorithm in stages, as and when newer training data arrives. Incremental learning is becoming widespread in recent times with the advent of deep learning. Noise in the training data reduces the accuracy of the algorithm. In this paper, we make an empirical study of the effect of noise in the training phase. We numerically show that the accuracy of the algorithm is dependent more on the location of the error than the percentage of error. Using Perceptron, Feed Forward Neural Network and Radial Basis Function Neural Network, we show that for the same percentage of error, the accuracy of the algorithm significantly varies with the location of error. Furthermore, our results show that the dependence of the accuracy with the location of error is independent of the algorithm. However, the slope of the degradation curve decreases with more sophisticated algorithms

This paper revisits the problem of computing empirical cumulative distribution functions (ECDF) efficiently on large, multivariate datasets. Computing an ECDF at one evaluation point requires $mathcal{O}(N)$ operations on a dataset composed of $N$ data points. Therefore, a direct evaluation of ECDFs at $N$ evaluation points requires a quadratic $mathcal{O}(N^2)$ operations, which is prohibitive for large-scale problems. Two fast and exact methods are proposed and compared. The first one is based on fast summation in lexicographical order, with a $mathcal{O}(N{log}N)$ complexity and requires the evaluation points to lie on a regular grid. The second one is based on the divide-and-conquer principle, with a $mathcal{O}(Nlog(N)^{(d-1){vee}1})$ complexity and requires the evaluation points to coincide with the input points. The two fast algorithms are described and detailed in the general $d$-dimensional case, and numerical experiments validate their speed and accuracy. Secondly, the paper establishes a direct connection between cumulative distribution functions and kernel density estimation (KDE) for a large class of kernels. This connection paves the way for fast exact algorithms for multivariate kernel density estimation and kernel regression. Numerical tests with the Laplacian kernel validate the speed and accuracy of the proposed algorithms. A broad range of large-scale multivariate density estimation, cumulative distribution estimation, survival function estimation and regression problems can benefit from the proposed numerical methods.

The next seminar in the 2017–18 History of Pre-Modern Medicine seminar series takes place on Tuesday 21 November. Speaker: Professor Roberta Gilchrist (University of Reading), ‘The archaeology of monastic healing: spirit, mind and body’ This paper highlights the potential of archaeology to… Continue reading

Niansheng Tang, Xiaodong Yan, Xingqiu Zhao.

Source: The Annals of Statistics, Volume 48, Number 1, 607--627.

Abstract:
This article considers simultaneous variable selection and parameter estimation as well as hypothesis testing in censored survival models where a parametric likelihood is not available. For the problem, we utilize certain growing dimensional general estimating equations and propose a penalized generalized empirical likelihood, where the general estimating equations are constructed based on the semiparametric efficiency bound of estimation with given moment conditions. The proposed penalized generalized empirical likelihood estimators enjoy the oracle properties, and the estimator of any fixed dimensional vector of nonzero parameters achieves the semiparametric efficiency bound asymptotically. Furthermore, we show that the penalized generalized empirical likelihood ratio test statistic has an asymptotic central chi-square distribution. The conditions of local and restricted global optimality of weighted penalized generalized empirical likelihood estimators are also discussed. We present a two-layer iterative algorithm for efficient implementation, and investigate its convergence property. The performance of the proposed methods is demonstrated by extensive simulation studies, and a real data example is provided for illustration.

Francesco Bravo, Juan Carlos Escanciano, Ingrid Van Keilegom.

Source: The Annals of Statistics, Volume 48, Number 1, 1--26.

Abstract:
In both parametric and certain nonparametric statistical models, the empirical likelihood ratio satisfies a nonparametric version of Wilks’ theorem. For many semiparametric models, however, the commonly used two-step (plug-in) empirical likelihood ratio is not asymptotically distribution-free, that is, its asymptotic distribution contains unknown quantities, and hence Wilks’ theorem breaks down. This article suggests a general approach to restore Wilks’ phenomenon in two-step semiparametric empirical likelihood inferences. The main insight consists in using as the moment function in the estimating equation the influence function of the plug-in sample moment. The proposed method is general; it leads to a chi-squared limiting distribution with known degrees of freedom; it is efficient; it does not require undersmoothing; and it is less sensitive to the first-step than alternative methods, which is particularly appealing for high-dimensional settings. Several examples and simulation studies illustrate the general applicability of the procedure and its excellent finite sample performance relative to competing methods.

James G. Scott, James O. Berger

Source: Ann. Statist., Volume 38, Number 5, 2587--2619.

Abstract:
This paper studies the multiplicity-correction effect of standard Bayesian variable-selection priors in linear regression. Our first goal is to clarify when, and how, multiplicity correction happens automatically in Bayesian analysis, and to distinguish this correction from the Bayesian Ockham’s-razor effect. Our second goal is to contrast empirical-Bayes and fully Bayesian approaches to variable selection through examples, theoretical results and simulations. Considerable differences between the two approaches are found. In particular, we prove a theorem that characterizes a surprising aymptotic discrepancy between fully Bayes and empirical Bayes. This discrepancy arises from a different source than the failure to account for hyperparameter uncertainty in the empirical-Bayes estimate. Indeed, even at the extreme, when the empirical-Bayes estimate converges asymptotically to the true variable-inclusion probability, the potential for a serious difference remains.