Qingying Bu
Proc. Amer. Math. Soc. 148 (2020), 2459-2467.
Abstract, references and article information

Sara Maloni and Frédéric Palesi
Conform. Geom. Dyn. 24 (2020), 68-108.
Abstract, references and article information

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.

(U.S. Army Research Laboratory) A US Army-funded project is identifying how officials at different levels of government can work together to encourage protective behaviors to prevent the spread of COVID-19.

Alumni inspired by the scientific response to the SARS outbreak are developing a platform to help researchers collaborate on global challenges.

What impact has the lockdown had on our mental health, and what determines how people cope with isolation?

Norma Van Walleghem
Feb 1, 2011; 24:9-13
From Research to Practice/Transitions in Young Adults with Type 1 Diabetes

Purpose: To assess the performance of full dose (FD) positron emission tomography (PET) image synthesis in both image and projection space from low-dose (LD) PET images/sinograms without sacrificing diagnostic quality using deep learning techniques. Methods: Clinical brain PET/CT studies of 140 patients were retrospectively employed for LD to FD PET conversion. 5% of the events were randomly selected from the FD list-mode PET data to simulate a realistic LD acquisition. A modified 3D U-Net model was implemented to predict FD sinograms in the projection-space (PSS) and FD images in image-space (PIS) from their corresponding LD sinograms/images, respectively. The quality of the predicted PET images was assessed by two nuclear medicine specialists using a five-point grading scheme. Quantitative analysis using established metrics including the peak signal-to-noise ratio (PSNR), structural similarity index metric (SSIM), region-wise standardized uptake value (SUV) bias, as well as first-, second- and high-order texture radiomic features in 83 brain regions for the test and evaluation dataset was also performed. Results: All PSS images were scored 4 or higher (good to excellent) by the nuclear medicine specialists. PSNR and SSIM values of 0.96 ± 0.03, 0.97 ± 0.02 and 31.70 ± 0.75, 37.30 ± 0.71 were obtained for PIS and PSS, respectively. The average SUV bias calculated over all brain regions was 0.24 ± 0.96% and 1.05 ± 1.44% for PSS and PIS, respectively. The Bland-Altman plots reported the lowest SUV bias (0.02) and variance (95% CI: -0.92, +0.84) for PSS compared with the reference FD images. The relative error of the homogeneity radiomic feature belonging to the Grey Level Co-occurrence Matrix category was -1.07 ± 1.77 and 0.28 ± 1.4 for PIS and PSS, respectively Conclusion: The qualitative assessment and quantitative analysis demonstrated that the FD PET prediction in projection space led to superior performance, resulting in higher image quality and lower SUV bias and variance compared to FD PET prediction in the image domain.

After successful completion of the Human Genome Project (HGP), HUPO has recently officially launched a global Human Proteome Project (HPP) which is designed to map the entire human protein set. Given the presence of about 30% undisclosed proteins out of 20,300 protein gene products, a systematic global effort is necessary to achieve this goal with respect to protein abundance, distribution, subcellular localization, interaction with other biomolecules, and functions at specific time points. As a general experimental strategy, HPP groups employ the three working pillars for HPP: mass spectrometry, antibody capture, and bioinformatics tools and knowledge base. The HPP participants will take advantage of the output and cross-analyses from the ongoing HUPO initiatives and a chromosome-based protein mapping strategy, termed C-HPP with many national teams currently engaged. In addition, numerous biologically-driven projects will be stimulated and facilitated by the HPP. Timely planning with proper governance of HPP will deliver a protein parts list, reagents and tools for protein studies and analyses, and a stronger basis for personalized medicine. HUPO urges each national research funding agency and the scientific community at large to identify their preferred pathways to participate in aspects of this highly promising project in a HPP consortium of funders and investigators.

Invitation Only Research Event

Marking the release of an MPI report, this briefing explores the effects of recent revisions in DHS immigration enforcement priorities on deportations within the U.S. interior.

A Google-related company has pulled the plug on its ambitious high-tech waterfront city project in Toronto, citing financial strains from the coronavirus, but the project had also run into local opposition.

Christian Bommer
May 1, 2018; 41:963-970
The Costs Of Diabetes

The American Dental Association's Standards Committee on Dental Products and Standards Committee on Dental Informatics are looking for volunteers to help in the development of new projects.

As European countries launch ambitious new legal migration partnerships with several origin and transit countries in Africa, this report takes stock of the long and mixed history of such projects. To make the most of their potential to encourage skills development and fill pressing labor gaps, policymakers will need to think carefully about the partners and sectors they choose, among other key considerations.

OBJECTIVE

To determine the effect of fitness on the association between BMI and mortality among patients with diabetes.

"This report is the final report for the Orange-bellied Parrot Habitat Management and Restoration Project carried out on King Island. The report relates to the activity period starting 30th of June 2007 and finishing on the 25th of May 2008."--Introduction.

"Researchers of DETCRC 3.1 project acquired substantial experience in seismic exploration of Nickel deposits across Yilgarn craton, Western Australia. There are many lessons learnt and various approaches trialled. The validity of the research conducted and the outputs achieved were verified against real field data provided by the sponsors and affiliates to DET CRC. Research quality was scrutinised by publishing in high level journals. In general high quality images are achieved over nickel rich Kambalda province that allowed for an accurate structural interpretation. Rock identification and characterisation is still challenging particularly due to lack of calibration of seismic images with borehole logs and borehole seismic. Several case histories are documented and briefly analysed. The difference between Komatiitic nickel deposit of Australia and Canada is also commented in light of seismic response and required technology for its detection" -- Executive summary.

"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.

United States. Central Intelligence Agency -- History.

Embroidery.

The Consultation Letters of Dr William Cullen (1710-1790) at the Royal College of Physicians of Edinburgh. William Cullen was a chemist and physician, as well as a renowned teacher of medicine. He was a central figure in the Scottish enlightenment.

Rockville, Maryland : National Institute on Drug Abuse, 1980.

Rockville, Maryland : National Institute on Drug Abuse, 1978.

Rockville, Maryland : National Institute on Drug Abuse, 1977.

York : York Consulting, 2001.

[Indiana] : Integrated Research Services, Inc., 1986.

After sweeping every national player of the year award, Sabrina Ionescu is off to the WNBA level where her skills will make an instant impact — not just to her new team but the league as a whole. She averaged 17.5 points, 8.6 rebounds and 9.1 assists for the Ducks in 2019-20, rewriting her own NCAA career triple-double record and becoming the first in college basketball history with at least 2,000 points, 1,000 rebounds and 1,000 assists.

David Azriel, Armin Schwartzman.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 174--206.

Abstract:
In this work we study estimation of signals when the number of parameters is much larger than the number of observations. A large body of literature assumes for these kind of problems a sparse structure where most of the parameters are zero or close to zero. When this assumption does not hold, one can focus on low-dimensional functions of the parameter vector. In this work we study one-dimensional linear projections. Specifically, in the context of high-dimensional linear regression, the parameter of interest is ${oldsymbol{eta}}$ and we study estimation of $mathbf{a}^{T}{oldsymbol{eta}}$. We show that $mathbf{a}^{T}hat{oldsymbol{eta}}$, where $hat{oldsymbol{eta}}$ is the least squares estimator, using pseudo-inverse when $p>n$, is minimax and admissible. Thus, for linear projections no regularization or shrinkage is needed. This estimator is easy to analyze and confidence intervals can be constructed. We study a high-dimensional dataset from brain imaging where it is shown that the signal is weak, non-sparse and significantly different from zero.

We study the least-squares regression problem over a Hilbert space, covering nonparametric regression over a reproducing kernel Hilbert space as a special case. We first investigate regularized algorithms adapted to a projection operator on a closed subspace of the Hilbert space. We prove convergence results with respect to variants of norms, under a capacity assumption on the hypothesis space and a regularity condition on the target function. As a result, we obtain optimal rates for regularized algorithms with randomized sketches, provided that the sketch dimension is proportional to the effective dimension up to a logarithmic factor. As a byproduct, we obtain similar results for Nystr"{o}m regularized algorithms. Our results provide optimal, distribution-dependent rates that do not have any saturation effect for sketched/Nystr"{o}m regularized algorithms, considering both the attainable and non-attainable cases, in the well-conditioned regimes. We then study stochastic gradient methods with projection over the subspace, allowing multi-pass over the data and minibatches, and we derive similar optimal statistical convergence results.

Heng Lian, Kaifeng Zhao, Shaogao Lv.

Source: The Annals of Statistics, Volume 47, Number 5, 2922--2949.

Abstract:
In this paper, we consider the local asymptotics of the nonparametric function in a partially linear model, within the framework of the divide-and-conquer estimation. Unlike the fixed-dimensional setting in which the parametric part does not affect the nonparametric part, the high-dimensional setting makes the issue more complicated. In particular, when a sparsity-inducing penalty such as lasso is used to make the estimation of the linear part feasible, the bias introduced will propagate to the nonparametric part. We propose a novel approach for estimation of the nonparametric function and establish the local asymptotics of the estimator. The result is useful for massive data with possibly different linear coefficients in each subpopulation but common nonparametric function. Some numerical illustrations are also presented.

Emily Berg, Danhyang Lee.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2158--2188.

Abstract:
Quantiles of the distributions of several measures of erosion are important parameters in the Conservation Effects Assessment Project, a survey intended to quantify soil and nutrient loss on crop fields. Because sample sizes for domains of interest are too small to support reliable direct estimators, model based methods are needed. Quantile regression is appealing for CEAP because finding a single family of parametric models that adequately describes the distributions of all variables is difficult and small area quantiles are parameters of interest. We construct empirical Bayes predictors and bootstrap mean squared error estimators based on the linearly interpolated generalized Pareto distribution (LIGPD). We apply the procedures to predict county-level quantiles for four types of erosion in Wisconsin and validate the procedures through simulation.

Our Lady of Grace School (Glengowrie, S.A.)

Vice President Pence’s trip to Iowa shows how the Trump administration’s aims to move past coronavirus are sometimes complicated by the virus itself.

Luis Gutiérrez, Eduardo Gutiérrez-Peña, Ramsés H. Mena.

Source: Bayesian Analysis, Volume 14, Number 2, 427--447.

Abstract:
This work presents a Bayesian predictive approach to statistical shape analysis. A modeling strategy that starts with a Gaussian distribution on the configuration space, and then removes the effects of location, rotation and scale, is studied. This boils down to an application of the projected normal distribution to model the configurations in the shape space, which together with certain identifiability constraints, facilitates parameter interpretation. Having better control over the parameters allows us to generalize the model to a regression setting where the effect of predictors on shapes can be considered. The methodology is illustrated and tested using both simulated scenarios and a real data set concerning eight anatomical landmarks on a sagittal plane of the corpus callosum in patients with autism and in a group of controls.

Christelle Peyron
Dec 1, 1998; 18:9996-10015
Articles

Awareness for surprising sensory events is shaped by prior belief inferred from past experience. Here, we combined hierarchical Bayesian modeling with fMRI on an associative learning task in 28 male human participants to characterize the effect of the prior belief of tactile events on connections mediating the outcome of perceptual decisions. Activity in anterior insular cortex (AIC), premotor cortex (PMd), and inferior parietal lobule (IPL) were modulated by prior belief on unexpected targets compared with expected targets. On expected targets, prior belief decreased the connection strength from AIC to IPL, whereas it increased the connection strength from AIC to PMd when targets were unexpected. Individual differences in the modulatory strength of prior belief on insular projections correlated with the precision that increases the influence of prediction errors on belief updating. These results suggest complementary effects of prior belief on insular-frontoparietal projections mediating the precision of prediction during probabilistic tactile learning.

SIGNIFICANCE STATEMENT In a probabilistic environment, the prior belief of sensory events can be inferred from past experiences. How this prior belief modulates effective brain connectivity for updating expectations for future decision-making remains unexplored. Combining hierarchical Bayesian modeling with fMRI, we show that during tactile associative learning, prior expectations modulate connections originating in the anterior insula cortex and targeting salience-related and attention-related frontoparietal areas (i.e., parietal and premotor cortex). These connections seem to be involved in updating evidence based on the precision of ascending inputs to guide future decision-making.

If Perseverance doesn’t launch this year, it will have to wait until 2022

Doctors and nurses are attaching smiling photos of themselves to the outside of their protective gear to maintain connections with patients

The National Trust for Historic Preservation is looking for 1,000 places tied to women's history, and to share the stories of the figures behind them

The current deconfinement plan in the Montreal area could lead to a rapid increase in deaths in the city, according to findings by Quebec's public health institute. 

Artists from Michigan and around the world are painting 50 murals in Flint to refocus the city's image on art rather than the lead-tainted water crisis.

1. Bharat Biotech to lead human monoclonal antibodies project  The Hindu
2. Bharat Biotech leads CSIR project to develop antibodies against Covid-19  Times of India
3. Bharat Biotech To Lead CSIR’s Project To Develop Human Monoclonal Antibodies For Covid-19 Therapy  Swarajya
4. Bharat Biotech to develop human antibodies for COVID-19 therapy  Telangana Today
5. Bharat Biotech vows human monoclonal antibodies to neutralise COVID-19 in 6 months  Mumbai Mirror
6. View Full coverage on Google News

The space near City Hall will allow weddings celebrations with up to 10 people.