A Florida TV station's weather radar detected a large mass between the state and Cuba that turned out to be something other than an unseasonable storm -- it was a flock of migrating birds.

Through a set of interlocking policies, the Trump administration has walled off the asylum system at the U.S.-Mexico border, guaranteeing that only a miniscule few can successfully gain protection. While the Migrant Protection Protocols, more commonly known as Remain in Mexico, have been a key part of throttling asylum applications, two newer, far less visible programs hold the potential to complete the job, as this article explores.

The ADA said it believes a new policy from the Centers for Medicare and Medicaid could be “detrimental” to the millions of adults who rely on Medicaid for dental care.

A federal court on Thursday denied a motion to block an Arkansas directive preventing patients from receiving abortion care.

The Supreme Court on Friday granted a Justice Department request to temporarily block release of secret grand jury material from special counsel Robert Mueller's probe to Congress.

There are no major changes coming to Britain's current coronavirus lockdown orders anytime soon, a government official said Friday as health officials reported 626 more deaths from COVID-19.

As governments have reacted to the coronavirus pandemic by closing borders, seasonal workers have been kept out, raising a pressing question: who is going to produce the food amid agricultural labor shortages? Policymakers in the Asia Pacific, Europe, and North America have responded by seeking to recruit residents, lengthen stays for already present seasonal workers, and find ways to continue admitting foreign seasonal labor, as this commentary explores.

Border closures and lockdowns amid the COVID-19 pandemic have put a chill on intra-EU labor mobility, most immediately with the difficulty for European farmers to gain access to much-needed seasonal workers and for health-care institutions to get care workers. This article explores how these workers, who often face difficult situations, may be more vulnerable now. It also takes on implications for intra-EU labor mobility post-pandemic.

Nearly 2 million college-educated immigrants in the United States, more than half coming with academic and professional credentials, are unable to fully utilize their professional skills and instead are stuck in low-skilled work or are unemployed. This report explores a range of programs and policies that are providing cutting-edge career navigation, relicensing, gap filling, and job search assistance to remedy this brain waste.

With the covid-19 pandemic now affecting virtually every country on earth, it is understandable that much of the world’s focus has been on protecting people’s physical health. Hand washing and social distancing is important in the fight against the coronavirus. However, it is important to remember that mental health issues may lead to loss of […]

I know that many of you are bored and horny right now during this lockdown and quarantine period, so allow me to recommend some of my favorite sex books! If you follow me on Instagram, you’ve probably already seen a few of my recommendations, but here’s a more extensive reading list.

These are unprecedented times. Much of the world is currently living under lockdown conditions and practicing social distancing in order to curb the spread of the COVID-19 coronavirus. So how is this affecting people’s intimate lives? How are our sex lives and relationships holding up, and is there anything we can do to more effectively navigate this complex and challenging situation? For the answers to these questions, I spoke to Dr. Lori Brotto, a Professor at the University of British Columbia, a practicing psychologist, and author of the book Better Sex Through Mindfulness. I asked Dr. Brotto what she has been seeing in her clinical practice since the pandemic began and how it’s different from usual.

During this time of lockdowns and quarantines, I know that many of you are looking for ways to pass the time, so allow me to suggest some entertaining and educational podcasts on the science of sex to help!

Our weekly round-up of the best psychology coverage from elsewhere on the web

The Georgia Cyber Academy moved to stop using the company's curriculum and technology, a decision that K12 Inc. says violated an agreement between the two sides.

Elizabeth I, Queen of England, 1533-1603 -- Sexual behavior.

Pollock, David.

Edinburgh : MacNiven & Wallace, 1896.

London : Kenny & Co, [1895?]

London : British Medical Journal, 1906.

A group of Vermont high school students backed by a powerful conservative Christian legal organization is accusing the state of religious discrimination.

[London?] : [Illustrated London News?], [between 1850 and 1870?]

[Paris] : Calcographie du Louvre, Musées Imperiaux, [1849?]

Matthias Löwe, Kristina Schubert.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1796--1815.

Abstract:
We show how to exactly reconstruct the block structure at the critical line in the so-called Ising block model. This model was recently re-introduced by Berthet, Rigollet and Srivastava in [2]. There the authors show how to exactly reconstruct blocks away from the critical line and they give an upper and a lower bound on the number of observations one needs; thereby they establish a minimax optimal rate (up to constants). Our technique relies on a combination of their methods with fluctuation results obtained in [20]. The latter are extended to the full critical regime. We find that the number of necessary observations depends on whether the interaction parameter between two blocks is positive or negative: In the first case, there are about $Nlog N$ observations required to exactly recover the block structure, while in the latter case $sqrt{N}log N$ observations suffice.

Zhixin Zhou, Ping Li.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1302--1347.

Abstract:
The Chernoff coefficient is known to be an upper bound of Bayes error probability in classification problem. In this paper, we will develop a rate optimal Chernoff bound on the Bayes error probability. The new bound is not only an upper bound but also a lower bound of Bayes error probability up to a constant factor. Moreover, we will apply this result to community detection in the stochastic block models. As a clustering problem, the optimal misclassification rate of community detection problem can be characterized by our rate optimal Chernoff bound. This can be formalized by deriving a minimax error rate over certain parameter space of stochastic block models, then achieving such an error rate by a feasible algorithm employing multiple steps of EM type updates.

Vincent Brault, Christine Keribin, Mahendra Mariadassou.

Source: Electronic Journal of Statistics, Volume 14, Number 1, 1234--1268.

Abstract:
The Latent Block Model (LBM) is a model-based method to cluster simultaneously the $d$ columns and $n$ rows of a data matrix. Parameter estimation in LBM is a difficult and multifaceted problem. Although various estimation strategies have been proposed and are now well understood empirically, theoretical guarantees about their asymptotic behavior is rather sparse and most results are limited to the binary setting. We prove here theoretical guarantees in the valued settings. We show that under some mild conditions on the parameter space, and in an asymptotic regime where $log (d)/n$ and $log (n)/d$ tend to $0$ when $n$ and $d$ tend to infinity, (1) the maximum-likelihood estimate of the complete model (with known labels) is consistent and (2) the log-likelihood ratios are equivalent under the complete and observed (with unknown labels) models. This equivalence allows us to transfer the asymptotic consistency, and under mild conditions, asymptotic normality, to the maximum likelihood estimate under the observed model. Moreover, the variational estimator is also consistent and, under the same conditions, asymptotically normal.

We study the misclassification error for community detection in general heterogeneous stochastic block models (SBM) with noisy or partial label information. We establish a connection between the misclassification rate and the notion of minimum energy on the local neighborhood of the SBM. We develop an optimally weighted message passing algorithm to reconstruct labels for SBM based on the minimum energy flow and the eigenvectors of a certain Markov transition matrix. The general SBM considered in this paper allows for unequal-size communities, degree heterogeneity, and different connection probabilities among blocks. We focus on how to optimally weigh the message passing to improve misclassification.

Min Xu, Varun Jog, Po-Ling Loh.

Source: The Annals of Statistics, Volume 48, Number 1, 183--204.

Abstract:
Community identification in a network is an important problem in fields such as social science, neuroscience and genetics. Over the past decade, stochastic block models (SBMs) have emerged as a popular statistical framework for this problem. However, SBMs have an important limitation in that they are suited only for networks with unweighted edges; in various scientific applications, disregarding the edge weights may result in a loss of valuable information. We study a weighted generalization of the SBM, in which observations are collected in the form of a weighted adjacency matrix and the weight of each edge is generated independently from an unknown probability density determined by the community membership of its endpoints. We characterize the optimal rate of misclustering error of the weighted SBM in terms of the Renyi divergence of order 1/2 between the weight distributions of within-community and between-community edges, substantially generalizing existing results for unweighted SBMs. Furthermore, we present a computationally tractable algorithm based on discretization that achieves the optimal error rate. Our method is adaptive in the sense that the algorithm, without assuming knowledge of the weight densities, performs as well as the best algorithm that knows the weight densities.

Jong Yun Hwang, Ji Oon Lee, Wooseok Yang.

Source: Bernoulli, Volume 26, Number 3, 2400--2435.

Abstract:
We consider the spectral properties of sparse stochastic block models, where $N$ vertices are partitioned into $K$ balanced communities. Under an assumption that the intra-community probability and inter-community probability are of similar order, we prove a local semicircle law up to the spectral edges, with an explicit formula on the deterministic shift of the spectral edge. We also prove that the fluctuation of the extremal eigenvalues is given by the GOE Tracy–Widom law after rescaling and centering the entries of sparse stochastic block models. Applying the result to sparse stochastic block models, we rigorously prove that there is a large gap between the outliers and the spectral edge without centering.

Michael Schweinberger.

Source: Bernoulli, Volume 26, Number 2, 1205--1233.

Abstract:
We consider the challenging problem of statistical inference for exponential-family random graph models based on a single observation of a random graph with complex dependence. To facilitate statistical inference, we consider random graphs with additional structure in the form of block structure. We have shown elsewhere that when the block structure is known, it facilitates consistency results for $M$-estimators of canonical and curved exponential-family random graph models with complex dependence, such as transitivity. In practice, the block structure is known in some applications (e.g., multilevel networks), but is unknown in others. When the block structure is unknown, the first and foremost question is whether it can be recovered with high probability based on a single observation of a random graph with complex dependence. The main consistency results of the paper show that it is possible to do so under weak dependence and smoothness conditions. These results confirm that exponential-family random graph models with block structure constitute a promising direction of statistical network analysis.

Today’s fisheries sector hosts a multibillion dollar industry that is a vital source of food and nutrition, employment, trade, economic wellbeing and recreation. What is blue growth? The concept of a "blue economy" came out of the 2012 Rio+20 Conference and emphasizes conservation and sustainable management, based on the premise that healthy ocean ecosystems are more productive and a must for sustainable [...]

Lead decontamination policies enacted in August are now in conflict with measures to prevent spread of COVID-19

With no new infections reported in Hubei province in recent days, restrictions are easing up—but experts worry about possible 'second wave' of cases

These cliques wear pink every day of the week

Some farmers across the province are worried about getting their fuel in time for spring seeding. The Agricultural Producers Association of Saskatchewan says it has been fielding complaints this week about delays at the Co-op cardlock near Moose Jaw.

Staff halted $100 service over pandemic concerns, forcing homeowners to private plumbers much more, and Danny Breen is urging them to contact the city.

Before COVID-19 hit, Hemliss Eloïse Konan had plans for how she'd spend her summer in Sudbury. After finishing her first year at Laurentian University, Konan planned to stay in residence, and get a job for the summer.

The closures were necessary. Chasing picnickers and closing paint aisles is petty overreach.

"So there are days when I feel down and out, but I remember the gratitude bit in the back of my head (sic)."

India's lavish weddings go online in virus lockdown  South China Morning Post

Visits to long-term care homes and some retirement homes across B.C. have been restricted due to the COVID-19 pandemic — and one senior says life inside is very challenging.