(University of Helsinki) Mutations in white blood cells can contribute to abnormal immune profile after hematopoietic stem cell transplantation.

Mikheil Saakashvili, the former president of Georgia, vowed on Friday to help his new boss, Ukrainian President Volodymyr Zelenskiy, clean out a political "swamp" of oligarchs' interests that he said were preventing Ukraine prospering. Twice president of Georgia, Saakashvili had a brief but stormy spell in Ukrainian politics five years ago under Zelenskiy's predecessor Petro Poroshenko in which he once clambered onto a roof to avoid law enforcement.

Background: ⁶⁸Ga PSMA PET CT (PSMA) is increasingly used in men with biochemical recurrence (BCR) post radical prostatectomy (RP), but its longer term prognostic / predictive potential in these men is unknown. The aim of this study was to evaluate the predictive value of PSMA PET for 3 year freedom from progression (FFP) in men with BCR post RP undergoing salvage radiotherapy (sRT). Methods: This prospective multi-center study enrolled 260 men between 2015 and 2017. Eligible patients were referred for PSMA with rising PSA following RP. Management following PSMA was recorded but not mandated. PSMA protocols were standardised across sites and reported prospectively. Clinical, pathological and surgical information, sRT, timing and duration of androgen deprivation (ADT), 3 year PSA results and clinical events were documented. FFP was defined as a PSA rise ≤ 0.2ng/mL above nadir post sRT, with no additional treatment. Results: The median PSA was 0.26ng/mL (IQR 0.15 - 0.59) and follow-up 38 months (IQR 31-43). PSMA was negative in 34.6% (90/260), confined to prostate fossa 21.5% (56/260), pelvic nodes 26.2% (68/260), and distant disease 17.7% (46/260). 71.5% (186/260) received sRT, 38.2% (71/186) to the fossa only, 49.4% (92/186) fossa + pelvic nodes and 12.4% (23/186) nodes alone/SBRT. PSMA was highly predictive of FFP at 3 years following sRT. Overall, FFP was achieved in 64.5% (120/186) of those who received sRT, 81% (81/100) with negative/fossa confined vs. 45% (39/86) for extra fossa disease (p<0.0001). On logistic regression PSMA was more independently predictive of FFP than established clinical predictors, including PSA, T-stage, surgical margin status or Gleason score (P < 0.002). 32% of men with a negative PSMA PET did not receive treatment. Of these, 66% (19/29) progressed, with a mean rise in PSA of 1.59ng/mL over the 3 years. Conclusion: PSMA PET result is highly predictive of FFP at 3 years in men undergoing sRT for BCR following RP. In particular, men with negative PSMA PET or disease identified as still confined to the prostate fossa demonstrate high FFP, despite receiving less extensive radiotherapy and lower rates of additional ADT than those with extra fossa disease.

Background: The management for totally thyroidectomized differentiated thyroid cancer (TT-DTC) patients with unexplained hyperthyroglobulinemia remains indeterminate due to evidence scarcity. This multicenter study aimed at prospectively evaluating the response to radioiodine (¹³¹I) adjuvant therapy (RAT) and its potential role in risk stratification and causal clarification. Methods: TT-DTC patients with stimulated serum thyroglobulin (Tgoff) levels > 10 ng/mL but no structurally evident disease were consecutively enrolled in five tertiary care institutions. After the administration of 5.55 GBq of ¹³¹I, the risk of presence of persistent/recurrent/metastatic DTC (prmDTC) was compared to that before RAT. The causes of hyperthyroglobulinemia were explored and the response to RAT was assessed 6-12 months post RAT. The change in suppressed thyroglobulin (Tgon) level was reported. Results: A cohort of 254 subjects with a median Tgoff of 27.1 ng/mL was enrolled for the analyses. Immediately after RAT, low-, intermediate-, and high-risk were identified in 5.9%, 88.6%, and 5.5% patients, respectively, with no significant difference in risk stratification compared with that before RAT (P = 0.952). During the follow-up (median, 10.6 months), hyperthyroglobulinemia was ultimately attributed to thyroid remnant, biochemical disease, and structural/functional disease in 17.3%, 54.3%, and 28.3% of subjects, respectively. In addition, excellent, indeterminate, biochemical incomplete, and structural/functional incomplete responses were achieved in 18.1%, 27.2%, 36.2%, and 18.5% of patients, respectively. Notably, distribution for either cause of hyperthyroglobulinemia or response to RAT was comparable among the three postoperative risk groups. Tgon levels in patients who merely received RAT declined significantly over time. Conclusion: Our study demonstrated that over 90% of TT-DTC patients with unexplained hyperthyroglobulinemia are stratified as intermediate-high risk, and RAT using 5.55 GBq of ¹³¹I reveals biochemical/functional/structural disease and yields non-structural/functional incomplete response in more than 80% patients, suggesting TT-DTC patients with unexplained hyperthyroglobulinemia as explicit candidates for RAT.

Cerebral β-amyloid deposits and regional glucose metabolism assessed by positron emission tomography (PET) are used to distinguish between Alzheimer's disease (AD) and other dementia syndromes. In the present multicenter study, we estimated the prevalence of β-amyloid deposits on PET imaging in a wide variety of dementia syndromes and mild cognitive impairment (MCI) within a memory clinic population. Methods: Of the 1193 consecutive patients with cognitive impairment (CI) who received combined ¹⁸F-AV45 and/or ¹¹C-PIB PET, 960 were diagnosed with AD, 36 with frontotemporal dementia (FTD), 5 with dementia with Lewy bodies (DLB), 144 with MCI, 29with vascular dementia (VaD), 4 with corticobasal syndrome (CBS) and 15 with unclassifiable dementia. Baseline clinical diagnoses were independently established without access to PET imaging results. ApoE genotype analysis was performed in CI patients and 231 gender- and age-matched controls. Results: Of the 1193 CI patients, 860 (72.1%) were amyloid-positive. The prevalence of amyloid positivity in AD and MCI patients was 86.8% (833/960) and 9.7% (14/144), respectively. In FTD patients, the prevalence of β-amyloid deposits was 5.6% (2/36). In the 4 CBS patients, two were amyloid-positive. Three of the 5 DLB patients showed amyloid positivity, as did 6 of the 29 VaD (20.7%) patients. The ApoE4 allele frequency was significantly increased in amyloid-positive CI patients (30.5%) as compared with other amyloid-negative CI patients (14%) or controls (7.3%). Conclusion: Amyloid imaging may potentially be the most helpful parameter for differential diagnosis in dementia, particularly to distinguish between AD and FTD. Amyloid PET can be used in conjunction with the ApoE4 allele genetic risk test for amyloid deposits.

7 May 2020 , Volume 96, Number 3

Patrick E. MacDonald
Dec 1, 2002; 51:S434-S442
Section 5: Beta-Cell Stimulus-Secretion Coupling: Hormonal and Pharmacological Modulators

Invitation Only Research Event

Event participants

Senator Chris Coons, United States Senator, Delaware
Chair: Dr Leslie Vinjamuri, Director, US and Americas Programme

Investigations continue into the murder of two men, who were shot in Swallowfield, St. Andrew yesterday evening. The incident occurred at about 6:00 p.m. Our news team understands that a Nissan AD wagon, carrying men armed with...

There must be an angel looking over your shoulder. There must be, even if you Never see her, An Angel. There are creatures on other, Worlds, That look like us but, For the clothing they wear; …delicate, gauze-like materials, that blaze… …yet do no harm. One visited last night, pointing out my story, -where I […]

7 May 2020 , Volume 96, Number 3

OBJECTIVE

To determine the relationship between ATP7B mutations and diabetes in Wilson disease (WD).

New Zealand drew global attention for its unity and support for the Muslim community targeted during the horrific Christchurch attacks. Yet the country's road to inclusion has been far from straightforward, and amid rising diversity it is grappling with the best way to achieve inclusion for its multiethnic population, including indigenous Māori peoples and migrants. This article outlines the opportunities and challenges to fostering multiculturalism against a backdrop of bicultural policies.

This recipe features on Foodie Tuesday, a weekly segment on 774 Drive at 3.30PM. It was shared by Monique Bowley, director of Podcasts at Mamamia Womens Network, and one-time Great Australian Bake Off contestant.

OBJECTIVE

Prevalence and prognostic impact of cardiovascular disease differ between patients with or without diabetes. We aimed to explore differences in the prevalence and prognosis of myocardial ischemia by automated quantification of total perfusion deficit (TPD) among patients with and without diabetes.

Three classical pieces that boost memory retention.

→ Support PsyBlog for just $5 per month. Enables access to articles marked (M) and removes ads.

→ Explore PsyBlog's ebooks, all written by Dr Jeremy Dean:

• Accept Yourself: How to feel a profound sense of warmth and self-compassion
• The Anxiety Plan: 42 Strategies For Worry, Phobias, OCD and Panic
• Spark: 17 Steps That Will Boost Your Motivation For Anything
• Activate: How To Find Joy Again By Changing What You Do

What if you could repay loans through volunteering and mentorship instead of money? Activist Angie Murimirwa shares how a game-changing economic tool known as "social interest" is reinvigorating sub-Saharan communities once trapped in cycles of poverty. Join her as she explains how this approach to lending is creating opportunities for thousands of African women and girls -- and shows why this model can be replicated anywhere with lasting effects.

Philanthropist and Microsoft cofounder Bill Gates offers insights into the COVID-19 pandemic, discussing why testing and self-isolation are essential, which medical advancements show promise and what it will take for the world to endure this crisis. (This virtual conversation is part of the TED Connects series, hosted by head of TED Chris Anderson and current affairs curator Whitney Pennington Rodgers. Recorded March 24, 2020)

Musée d'Orsay -- Exhibitions.

[Edinburgh?] : [publisher not identified], 1840.

Edinburgh : Hodges and Smith, 1834-1840.

Birmingham : printed by M. Billing, 1847.

Berlin : S. Karger, 1899.

Leipzig : W. Engelmann, 1866.

Wien : K.K. Hof- und Staatsdruckerei, 1861.

Karlsbad : H. Feller, 1880.

Edinburgi : Apud Balfour et Smellie, 1782.

Edinburgh : [publisher not identified], 1812.

[Rome?]

Didier Chauveau, David R. Hunter, Michael Levine.

Source: Statistics Surveys, Volume 9, 1--31.

Abstract:
The conditional independence assumption for nonparametric multivariate finite mixture models, a weaker form of the well-known conditional independence assumption for random effects models for longitudinal data, is the subject of an increasing number of theoretical and algorithmic developments in the statistical literature. After presenting a survey of this literature, including an in-depth discussion of the all-important identifiability results, this article describes and extends an algorithm for estimation of the parameters in these models. The algorithm works for any number of components in three or more dimensions. It possesses a descent property and can be easily adapted to situations where the data are grouped in blocks of conditionally independent variables. We discuss how to adapt this algorithm to various location-scale models that link component densities, and we even adapt it to a particular class of univariate mixture problems in which the components are assumed symmetric. We give a bandwidth selection procedure for our algorithm. Finally, we demonstrate the effectiveness of our algorithm using a simulation study and two psychometric datasets.

Data-driven modelling and computational predictions based on maximum entropy principle (MaxEnt-principle) aim at finding as-simple-as-possible - but not simpler then necessary - models that allow to avoid the data overfitting problem. We derive a multivariate non-parametric and non-stationary formulation of the MaxEnt-principle and show that its solution can be approximated through a numerical maximisation of the sparse constrained optimization problem with regularization. Application of the resulting algorithm to popular financial benchmarks reveals memoryless models allowing for simple and qualitative descriptions of the major stock market indexes data. We compare the obtained MaxEnt-models to the heteroschedastic models from the computational econometrics (GARCH, GARCH-GJR, MS-GARCH, GARCH-PML4) in terms of the model fit, complexity and prediction quality. We compare the resulting model log-likelihoods, the values of the Bayesian Information Criterion, posterior model probabilities, the quality of the data autocorrelation function fits as well as the Value-at-Risk prediction quality. We show that all of the considered seven major financial benchmark time series (DJI, SPX, FTSE, STOXX, SMI, HSI and N225) are better described by conditionally memoryless MaxEnt-models with nonstationary regime-switching than by the common econometric models with finite memory. This analysis also reveals a sparse network of statistically-significant temporal relations for the positive and negative latent variance changes among different markets. The code is provided for open access.

Hock Peng Chan.

Source: The Annals of Statistics, Volume 48, Number 1, 346--373.

Abstract:
Lai and Robbins ( Adv. in Appl. Math. 6 (1985) 4–22) and Lai ( Ann. Statist. 15 (1987) 1091–1114) provided efficient parametric solutions to the multi-armed bandit problem, showing that arm allocation via upper confidence bounds (UCB) achieves minimum regret. These bounds are constructed from the Kullback–Leibler information of the reward distributions, estimated from specified parametric families. In recent years, there has been renewed interest in the multi-armed bandit problem due to new applications in machine learning algorithms and data analytics. Nonparametric arm allocation procedures like $epsilon $-greedy, Boltzmann exploration and BESA were studied, and modified versions of the UCB procedure were also analyzed under nonparametric settings. However, unlike UCB these nonparametric procedures are not efficient under general parametric settings. In this paper, we propose efficient nonparametric procedures.

Björn Böttcher, Martin Keller-Ressel, René L. Schilling.

Source: The Annals of Statistics, Volume 47, Number 5, 2757--2789.

Abstract:
We introduce two new measures for the dependence of $nge2$ random variables: distance multivariance and total distance multivariance . Both measures are based on the weighted $L^{2}$-distance of quantities related to the characteristic functions of the underlying random variables. These extend distance covariance (introduced by Székely, Rizzo and Bakirov) from pairs of random variables to $n$-tuplets of random variables. We show that total distance multivariance can be used to detect the independence of $n$ random variables and has a simple finite-sample representation in terms of distance matrices of the sample points, where distance is measured by a continuous negative definite function. Under some mild moment conditions, this leads to a test for independence of multiple random vectors which is consistent against all alternatives.

Hannah Worthington, Rachel McCrea, Ruth King, Richard Griffiths.

Source: The Annals of Applied Statistics, Volume 13, Number 4, 2043--2064.

Abstract:
Capture-recapture studies often involve collecting data on numerous capture occasions over a relatively short period of time. For many study species this process is repeated, for example, annually, resulting in capture information spanning multiple sampling periods. To account for the different temporal scales, the robust design class of models have traditionally been applied providing a framework in which to analyse all of the available capture data in a single likelihood expression. However, these models typically require strong constraints, either the assumption of closure within a sampling period (the closed robust design) or conditioning on the number of individuals captured within a sampling period (the open robust design). For real datasets these assumptions may not be appropriate. We develop a general modelling structure that requires neither assumption by explicitly modelling the movement of individuals into the population both within and between the sampling periods, which in turn permits the estimation of abundance within a single consistent framework. The flexibility of the novel model structure is further demonstrated by including the computationally challenging case of multi-state data where there is individual time-varying discrete covariate information. We derive an efficient likelihood expression for the new multi-state multi-period stopover model using the hidden Markov model framework. We demonstrate the significant improvement in parameter estimation using our new modelling approach in terms of both the multi-period and multi-state components through both a simulation study and a real dataset relating to the protected species of great crested newts, Triturus cristatus .

Irina Gaynanova.

Source: Bernoulli, Volume 26, Number 1, 286--322.

Abstract:
Sparse linear discriminant analysis via penalized optimal scoring is a successful tool for classification in high-dimensional settings. While the variable selection consistency of sparse optimal scoring has been established, the corresponding prediction and estimation consistency results have been lacking. We bridge this gap by providing probabilistic bounds on out-of-sample prediction error and estimation error of multi-class penalized optimal scoring allowing for diverging number of classes.

Kurtis Shuler, Marilou Sison-Mangus, Juhee Lee.

Source: Bayesian Analysis, Volume 15, Number 2, 559--578.

Abstract:
We propose a Bayesian sparse multivariate regression method to model the relationship between microbe abundance and environmental factors for microbiome data. We model abundance counts of operational taxonomic units (OTUs) with a negative binomial distribution and relate covariates to the counts through regression. Extending conventional nonlocal priors, we construct asymmetric nonlocal priors for regression coefficients to efficiently identify relevant covariates and their effect directions. We build a hierarchical model to facilitate pooling of information across OTUs that produces parsimonious results with improved accuracy. We present simulation studies that compare variable selection performance under the proposed model to those under Bayesian sparse regression models with asymmetric and symmetric local priors and two frequentist models. The simulations show the proposed model identifies important covariates and yields coefficient estimates with favorable accuracy compared with the alternatives. The proposed model is applied to analyze an ocean microbiome dataset collected over time to study the association of harmful algal bloom conditions with microbial communities.

Jarno Vanhatalo, Marcelo Hartmann, Lari Veneranta.

Source: Bayesian Analysis, Volume 15, Number 2, 415--447.

Abstract:
Species distribution models (SDM) are a key tool in ecology, conservation and management of natural resources. Two key components of the state-of-the-art SDMs are the description for species distribution response along environmental covariates and the spatial random effect that captures deviations from the distribution patterns explained by environmental covariates. Joint species distribution models (JSDMs) additionally include interspecific correlations which have been shown to improve their descriptive and predictive performance compared to single species models. However, current JSDMs are restricted to hierarchical generalized linear modeling framework. Their limitation is that parametric models have trouble in explaining changes in abundance due, for example, highly non-linear physical tolerance limits which is particularly important when predicting species distribution in new areas or under scenarios of environmental change. On the other hand, semi-parametric response functions have been shown to improve the predictive performance of SDMs in these tasks in single species models. Here, we propose JSDMs where the responses to environmental covariates are modeled with additive multivariate Gaussian processes coded as linear models of coregionalization. These allow inference for wide range of functional forms and interspecific correlations between the responses. We propose also an efficient approach for inference with Laplace approximation and parameterization of the interspecific covariance matrices on the Euclidean space. We demonstrate the benefits of our model with two small scale examples and one real world case study. We use cross-validation to compare the proposed model to analogous semi-parametric single species models and parametric single and joint species models in interpolation and extrapolation tasks. The proposed model outperforms the alternative models in all cases. We also show that the proposed model can be seen as an extension of the current state-of-the-art JSDMs to semi-parametric models.

We will only achieve zero hunger if we speak on behalf of those unable to represent themselves. That was a key message during an event titled “Zero Hunger: are we ready?” at FAO headquarters in Rome, Italy, on Friday, 11 October. “Hungry people have no voice, they are different from all others,” said FAO Director-General José Graziano da Silva (pictured, left). “We [...]

On the frontline of climate change, effects are real and measurable. As climate change evolves, food and agriculture need to follow suit. Rising temperatures, changes in rainfall, erratic weather patterns and the prevalence of pests and diseases resulting from climate change threaten agricultural productivity and therefore undermine global food security. Simultaneously, the world’s population is growing steadily and expected to reach [...]

The new findings raises questions about the authenticity of a collection of texts known as the "post-2002" scrolls

The nine classes span contemporary art, fashion and photography