Leipzig : O. Wigand, 1837.

Berlin : A. Hirschwald, 1900.

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Berlin : A. Hirschwald, 1879.

Leipzig : W. Engelmann, 1875.

Cassel : T. Fischer, 1884.

Stuttgart : Enke, 1904.

Leipzig : F.C.W. Vogel, 1891.

London : Adlard, 1904.

Paris : G. Steinheil, 1888.

London : H.K. Lewis, 1903.

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London : Cassell, 1902.

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Havniae : Typis N. Christensen, 1792.

Paris : J. Cherbuliez, 1870.

Paris : V. Adrien Delahaye, 1879.

Paris ; Londres : Baillière ... : Legoubey, libraire ... ; J.B. Baillière ..., 1831.

Paris : Steinheil, 1896.

Edinburgh : Young J. Pentland, 1895.

London : Sherwood, Gilbert, & Piper, 1844.

Edinburgh : Young J. Pentland, 1895.

Genova : G. Bonaudo, 1812.

[Rome] : [Chez Bouchard et Gravier], [1785]

Brian Whiston since 2015 has led the state's education department while it put together its plan under the Every Student Succeeds Act and took control of the state's school takeover district.

The win was the first of four straight for the Flyers, culminating in a historic comeback over the Bruins.

We study the identity testing problem in the context of spin systems or undirected graphical models, where it takes the following form: given the parameter specification of the model $M$ and a sampling oracle for the distribution $mu_{M^*}$ of an unknown model $M^*$, can we efficiently determine if the two models $M$ and $M^*$ are the same? We consider identity testing for both soft-constraint and hard-constraint systems. In particular, we prove hardness results in two prototypical cases, the Ising model and proper colorings, and explore whether identity testing is any easier than structure learning. For the ferromagnetic (attractive) Ising model, Daskalakis et al. (2018) presented a polynomial-time algorithm for identity testing. We prove hardness results in the antiferromagnetic (repulsive) setting in the same regime of parameters where structure learning is known to require a super-polynomial number of samples. Specifically, for $n$-vertex graphs of maximum degree $d$, we prove that if $|eta| d = omega(log{n})$ (where $eta$ is the inverse temperature parameter), then there is no polynomial running time identity testing algorithm unless $RP=NP$. In the hard-constraint setting, we present hardness results for identity testing for proper colorings. Our results are based on the presumed hardness of #BIS, the problem of (approximately) counting independent sets in bipartite graphs.

Victor Coscrato, Rafael Izbicki, Rafael B. Stern.

Source: Brazilian Journal of Probability and Statistics, Volume 34, Number 2, 230--250.

Abstract:
Despite its common practice, statistical hypothesis testing presents challenges in interpretation. For instance, in the standard frequentist framework there is no control of the type II error. As a result, the non-rejection of the null hypothesis $(H_{0})$ cannot reasonably be interpreted as its acceptance. We propose that this dilemma can be overcome by using agnostic hypothesis tests, since they can control the type I and II errors simultaneously. In order to make this idea operational, we show how to obtain agnostic hypothesis in typical models. For instance, we show how to build (unbiased) uniformly most powerful agnostic tests and how to obtain agnostic tests from standard p-values. Also, we present conditions such that the above tests can be made logically coherent. Finally, we present examples of consistent agnostic hypothesis tests.

Segmentation of cardiac images, particularly late gadolinium-enhanced magnetic resonance imaging (LGE-MRI) widely used for visualizing diseased cardiac structures, is a crucial first step for clinical diagnosis and treatment. However, direct segmentation of LGE-MRIs is challenging due to its attenuated contrast. Since most clinical studies have relied on manual and labor-intensive approaches, automatic methods are of high interest, particularly optimized machine learning approaches. To address this, we organized the "2018 Left Atrium Segmentation Challenge" using 154 3D LGE-MRIs, currently the world's largest cardiac LGE-MRI dataset, and associated labels of the left atrium segmented by three medical experts, ultimately attracting the participation of 27 international teams. In this paper, extensive analysis of the submitted algorithms using technical and biological metrics was performed by undergoing subgroup analysis and conducting hyper-parameter analysis, offering an overall picture of the major design choices of convolutional neural networks (CNNs) and practical considerations for achieving state-of-the-art left atrium segmentation. Results show the top method achieved a dice score of 93.2% and a mean surface to a surface distance of 0.7 mm, significantly outperforming prior state-of-the-art. Particularly, our analysis demonstrated that double, sequentially used CNNs, in which a first CNN is used for automatic region-of-interest localization and a subsequent CNN is used for refined regional segmentation, achieved far superior results than traditional methods and pipelines containing single CNNs. This large-scale benchmarking study makes a significant step towards much-improved segmentation methods for cardiac LGE-MRIs, and will serve as an important benchmark for evaluating and comparing the future works in the field.

Aryeh Kontorovich, Iosif Pinelis.

Source: The Annals of Statistics, Volume 47, Number 5, 2822--2854.

Abstract:
We provide an exact nonasymptotic lower bound on the minimax expected excess risk (EER) in the agnostic probably-approximately-correct (PAC) machine learning classification model and identify minimax learning algorithms as certain maximally symmetric and minimally randomized “voting” procedures. Based on this result, an exact asymptotic lower bound on the minimax EER is provided. This bound is of the simple form $c_{infty}/sqrt{ u}$ as $ u oinfty$, where $c_{infty}=0.16997dots$ is a universal constant, $ u=m/d$, $m$ is the size of the training sample and $d$ is the Vapnik–Chervonenkis dimension of the hypothesis class. It is shown that the differences between these asymptotic and nonasymptotic bounds, as well as the differences between these two bounds and the maximum EER of any learning algorithms that minimize the empirical risk, are asymptotically negligible, and all these differences are due to ties in the mentioned “voting” procedures. A few easy to compute nonasymptotic lower bounds on the minimax EER are also obtained, which are shown to be close to the exact asymptotic lower bound $c_{infty}/sqrt{ u}$ even for rather small values of the ratio $ u=m/d$. As an application of these results, we substantially improve existing lower bounds on the tail probability of the excess risk. Among the tools used are Bayes estimation and apparently new identities and inequalities for binomial distributions.

Chih-Yuan Hsu, Yi-Hau Chen, Ruoh-Rong Yu, Tsung-Wei Hung.

Source: The Annals of Applied Statistics, Volume 14, Number 1, 160--177.

Abstract:
Workers in Taiwan overall have been suffering from long-lasting wage stagnation since the mid-1990s. In particular, there seems to be little mobility for the wages of Taiwanese workers to transit across wage quantile groups. It is of interest to see if certain groups of workers, such as female, lower educated and younger generation workers, suffer from the problem more seriously than the others. This work tries to apply a systematic statistical approach to study this issue, based on the longitudinal data from the Panel Study of Family Dynamics (PSFD) survey conducted in Taiwan since 1999. We propose the quantile transition regression model, generalizing recent methodology for quantile association, to assess the wage status transition with respect to the marginal wage quantiles over time as well as the effects of certain demographic and job factors on the wage status transition. Estimation of the model can be based on the composite likelihoods utilizing the binary, or ordinal-data information regarding the quantile transition, with the associated asymptotic theory established. A goodness-of-fit procedure for the proposed model is developed. The performances of the estimation and the goodness-of-fit procedures for the quantile transition model are illustrated through simulations. The application of the proposed methodology to the PSFD survey data suggests that female, private-sector workers with higher age and education below postgraduate level suffer from more severe wage status stagnation than the others.

Geoffrey M. Boynton
Jul 1, 1996; 16:4207-4221
Articles

Biases in sensory perception can arise from both experimental manipulations and personal trait-like features. These idiosyncratic biases and their neural underpinnings are often overlooked in studies on the physiology underlying perception. A potential candidate mechanism reflecting such idiosyncratic biases could be spontaneous alpha band activity, a prominent brain rhythm known to influence perceptual reports in general. Using a temporal order judgment task, we here tested the hypothesis that alpha power reflects the overcoming of an idiosyncratic bias. Importantly, to understand the interplay between idiosyncratic biases and contextual (temporary) biases induced by experimental manipulations, we quantified this relation before and after temporal recalibration. Using EEG recordings in human participants (male and female), we find that prestimulus frontal alpha power correlates with the tendency to respond relative to an own idiosyncratic bias, with stronger α leading to responses matching the bias. In contrast, alpha power does not predict response correctness. These results also hold after temporal recalibration and are specific to the alpha band, suggesting that alpha band activity reflects, directly or indirectly, processes that help to overcome an individual's momentary bias in perception. We propose that combined with established roles of parietal α in the encoding of sensory information frontal α reflects complementary mechanisms influencing perceptual decisions.

SIGNIFICANCE STATEMENT The brain is a biased organ, frequently generating systematically distorted percepts of the world, leading each of us to evolve in our own subjective reality. However, such biases are often overlooked or considered noise when studying the neural mechanisms underlying perception. We show that spontaneous alpha band activity predicts the degree of biasedness of human choices in a time perception task, suggesting that alpha activity indexes processes needed to overcome an individual's idiosyncratic bias. This result provides a window onto the neural underpinnings of subjective perception, and offers the possibility to quantify or manipulate such priors in future studies.

The tremors, which arrived in the midst of the COVID-19 pandemic, was the worst the Croatian capital has seen in 140 years

The Museo de la Massacre de Ponce and Casa Paoli were among the buildings affected by Saturday's tremors

Bank of Spain Working Papers by Henrique S. Basso and Juan F. Jimeno

This is a SOLIDWORKS tutorial to create a Magnetic Penguin Puzzle. This tutorial focuses on the use of the Split Tool. It also demonstrates how to export the split bodies to parts, and create a simple gravity motion analysis animation with an assembly of the finished puzzle. The decals and DXF file for the design are available to download in the description below.

Author information

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Polycystic ovary syndrome (PCOS) is a common female reproductive disorder that often manifests during adolescence and is associated with disruptions in health-related quality of life. Prompt evaluation and clinical support after diagnosis may prevent associated complications and optimize overall health management. This article incorporates the most recent evidence and consensus guidelines to provide an updated review of the pathogenesis, clinical presentation, diagnostic evaluation, and management strategies for adolescents with this complex condition. We will review the recent international guidelines on PCOS; because the diagnosis of PCOS remains controversial, management of this condition is inconsistent. In 2019, PCOS remains a common, yet neglected, condition, in part, because of the lack of agreement around both diagnosis and management.

Due to overwhelming response, Magnum Tonic Wine has expanded its TekChargeAYard Dance Challenge to Belize, Antigua and Barbuda, St Vincent and The Grenadines, and Guyana.The challenge was initially open to participants from Jamaica and Trinidad and Tobago.

Three new studies show that a web of factors appear to influence how often black and Hispanic children are identified for special education compared to similar white peers.

Primary care providers (PCPs) identify patients with undescended testis (UDT) and refer them to surgical specialists. Referral beyond the recommended times for orchiopexy has been reported, and PCPs' accuracy in identifying and distinguishing UDTs from retractile testes has been questioned.

We describe 3 observations that are strongly correlated with UDT, that is, birth history of UDT, prematurity, and visible scrotal asymmetry. UDT diagnoses are best made by 8 months of age, to reduce confusion with testicular retraction and to facilitate timely orchiopexy. (Read the full article)

Macroglossia is a clinical feature of several disorders and a common reason for additional diagnostic investigations during infancy. Limited research has been done on the evaluation of macroglossia when other features are not suggestive of Beckwith-Wiedemann syndrome.

All patients with apparently isolated macroglossia should have at least initial evaluation with abdominal ultrasounds and molecular studies for Beckwith-Wiedemann syndrome before a final diagnosis is given. Other common diagnoses included isolated macroglossia, chromosomal abnormalities, hypothyroidism, and mucopolysaccharidoses. (Read the full article)

Mixed prevalence rates of co-occurring psychiatric and neurodevelopmental conditions have been reported in children diagnosed with an autism spectrum disorder (ASD). ASD diagnoses remain fairly stable within a continuum, but some do not meet criteria for an ASD diagnosis years after initial diagnosis.

Co-occurring neurodevelopmental and psychiatric conditions may explain, in part, why the diagnosis of an ASD may change with age. (Read the full article)