11 a.m. Iowa sees 214 more positive tests for coronavirus

The Iowa Department of Public Health on Saturday reported nine more deaths from COVID-19, for a total of 252 since March 8.

An additional 214 people tested positive for the virus, bringing the state’s total to 11,671.

A total of 71,476 Iowans have been tested for COVID-19, the department reported.

With Saturday’s new figures from the Department of Public Health, these are the top 10 counties in terms of total cases:

• Polk — 2194

• Woodbury — 1554

• Black Hawk — 1477

• Linn — 819

• Marshall — 702

• Dallas — 660

• Johnson — 549

• Muscatine — 471

• Tama — 327

• Louisa — 282.

For the second consecutive day the number of Iowa patients hospitalized with COVID-19 has dropped.

The Iowa Department of Public Health reported Saturday that 402 people were hospitalized with the coronavirus, down five from the previous day, and down 15 from its current peak of 417 on Thursday.

Saturday’s totals mark the first time back-to-back COVID-19 hospitalization decreases since figures had begun being tracked.

Nine deaths in Iowa were recorded Saturday, according to the Department of Public Health, bringing the total to 252. But it snapped a streak of four consecutive days in which 10 or more deaths were recorded in Iowa.

Four of the deaths were in Polk County, bringing Polk’s total to 58 — matching Linn County’s as most in the state.

Saturday was the first time since Monday that no deaths in Linn County were reported.

Two deaths were in Jasper County, one each in Johnson, Muscatine and Tama counties.

Four of those who died were 81 years of age and older, three were 61 to 80 and two were aged 41 to 60.

Saturday’s report also showed there now have been a total of 29 outbreaks recorded in long-term care facilities statewide.

Including Saturday’s latest figures from the Department of Public Health — with 214 positive cases, for a total of 11,671 — these are the top 10 Iowa counties in terms of total cases:

• Polk — 2,194

• Woodbury — 1,554

• Black Hawk — 1,477

• Linn — 819

• Marshall — 702

• Dallas — 660

• Johnson — 549

• Muscatine — 471

• Tama — 327

• Louisa — 282.

More than 71,000 Iowans — one of 43 — have been tested, and 16.3 percent of those tested have been positive cases, according to the state.

Forty-six percent of Iowa deaths have been those age 81 and older, while 87 percent are 61 and older. Fifty-one percent have been male.

Beginning this past Friday, Gov. Kim Reynolds permitted more businesses to partially reopen.

“I’m proud to say that Iowans do what they always do and they responded,” she said at her Thursday news conference, her most recent. “So since we’ve kind of really accomplished what we were trying to do, ... now we have shifted our focus from mitigation and resources to managing and containing virus activity as we begin to open Iowa back up.”

Reynolds met with President Donald Trump on Wednesday at the White House to discuss the pandemic and mitigation strategies in the state.

Vice President Mike Pence visited Iowa Friday, when he met with faith leaders and agricultural and food company executives.

Comments: (319) 368-8857; jeff.linder@thegazette.com

It is a requirement that a visa applicant must fill in or complete his or her application form in a manner that all questions are answered, and no incorrect answers are given or provided. There is also a requirement that visa applicants must not provide incorrect information during interviews with the Minister for Immigration (‘Minister’), […]

The post Visa cancelled due to incorrect information given or provided to the Department of Home Affairs appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

The World Health Organization has announced that Coronavirus (COVID-19) is a pandemic. The migration situation is changing rapidly throughout Australia. As an Australian citizen or permanent resident, can I still enter Australia? There is no restriction on Australian citizens or permanent residents entering Australia at this stage. However, those arriving in Australia will be required […]

The post Coronavirus (COVID-19) and Visas for Australia appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

Seasonal Worker Programme and Pacific Labour Scheme workers can extend their stay for up to 12 months to work for approved employers as long as pastoral care and accommodation needs of workers are met to minimise health risks to visa holders and the community. Approved employers under the Seasonal Worker Programme and Pacific Labour Scheme […]

The post What can I do if I am on a working holiday or seasonal worker visa in the Coronavirus (COVID-19) crisis? appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

If you’re a Temporary Skill Shortage visa holder – what should you do if you have been stood down or your work hours are reduced by your employer? The Australian Government has announced that Temporary Skill Shortage visa holders who have been stood down, but not laid off, will maintain their visa validity and businesses […]

The post Employer sponsored temporary work visas (482 and 457) and Coronavirus (COVID-19) appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

International students who have been in Australia for longer than 12 months who find themselves in financial hardship will be able to access their Australian superannuation. The Government will undertake further engagement with the international education sector who already provide some financial support for international students facing hardship. International students working in supermarkets will have […]

The post Student visa holders and New Zealand citizens in Australia and the Coronavirus (COVID-19) crisis? appeared first on Visa Australia - Immigration Lawyers & Registered Migration Agents.

Patients with disabilities must receive the same level of lifesaving medical treatment from hospitals during the coronavirus pandemic as able-bodied patients, the Trump administration said.

Researchers are warning that the coronavirus pandemic could inflict long-lasting emotional trauma on an unprecedented global scale. They say it could leave millions wrestling with debilitating psychological disorders while dashing hopes for a swift economic recovery.

Today, the Game of Thrones star announced that 12 random people will get to win a virtual dinner with her. She’s asking people to donate money to her charity SameYou, which helps people heal from brain injuries and strokes. Pledges will be used to assist brain injury survivors in recuperating at home, who have been asked to leave hospitals to make room for coronavirus patients.

We’re all experiencing varying levels of trauma.

Experiencing intense flashbacks, nightmares, irritability, anger, and fear? In the face of a traumatic event like the Covid-19 pandemic, it’s common to feel this way.

Experiencing intense flashbacks, nightmares, irritability, anger, and fear? In the face of a traumatic event like the Covid-19 pandemic, it’s common to feel this way.

By Hannah Hickey UWNEWS While winter sea ice in the Arctic is declining so dramatically that ships can now navigate those waters without any icebreaker escort, the scene in the Southern Hemisphere is very different. Sea ice area around Antarctica … Continue reading →

By Jill Richardson Otherwords Both are bad, but Scott Pruitt’s abuse of our environment is far more dangerous than his abuse of taxpayer money. Did you hear that the head of the Environmental Protection Agency (EPA), Scott Pruitt, is so … Continue reading →

Try these 10 actionable steps for streamlined, cost-effective marketing during the lockdown. Shed costs and embrace innovation to drive leads and conversions.

Tags: coronavirus, Quartz, testing, uncertainity

COVID-19 (aka Coronavirus) has obviously been a hot topic recently, especially within the media. But how dangerous is this new virus?

The Covid-19 #Coronavirus Infographic Data Pack on Information is Beautiful gathers the current data around the world (version above is from March 31, 2020) and makes the virus more tangible to understand. The infographic makes comparisons to other diseases when it comes to incubation times and number of deaths, as well as reporting who is dying from it.

Created by David McCandless, Omid Kashan, Fabio Bergamaschi, Dr Stephanie Starling, Univers Labs

From Information Is Beautiful:

We made an infographic of the best COVID-19 / Coronavirus charts floating around, plus some of our own – all with the latest data

We’ll plan to keep it updated every few days.

They have also made all of their data accessible with a Google Sheet link: bit.ly/COVID19-DATA

With so many good and bad COVID-19 charts being published at a frantic pace, I can appreciate the design and effort here to gather some of the best data and the best visualizations together in one place.

By Jessica Corbett Common Dreams “This is a wake-up call,” says one Australian marine biologist. “Given sea temperatures usually increase as we get towards March, this is probably conservative.” Delivering yet another “wake-up call” after recent studies have shown that … Continue reading →

American Geophysical Union (AGU) Press Release A new study finds human-caused global warming is significantly increasing the rate at which hot temperature records are being broken around the world. Global annual temperature records show there were 17 record hot years … Continue reading →

By Jessica Corbett Common Dreams “This is a wake-up call,” says one Australian marine biologist. “Given sea temperatures usually increase as we get towards March, this is probably conservative.” Delivering yet another “wake-up call” after recent studies have shown that … Continue reading →

Experiencing intense flashbacks, nightmares, irritability, anger, and fear? In the face of a traumatic event like the Covid-19 pandemic, it’s common to feel this way.

The United States faces a major meat shortage due to virus infections at processing plants. It means millions of pigs could be put down without ever making it to table. This is what the predicament looks like on a Minnesota farm. ... According to the Minnesota Pork Producers Association, an estimated 10,000 pigs are being euthanised every day in the state. ... [Farmer Mike Boerboom:] "On the same day that we're euthanising pigs - and it's a horrible day - is the same day that a grocery store 10 miles away may not get a shipment of pork. It's just that the supply chain is broken at this point."

More than 1,000 workers at the Tyson Foods plant in Waterloo have tested positive for the coronavirus, a county public health leader said Thursday -- more than double the number Gov. Kim Reynolds had said were infected the day before.

Corey Rich is a director, writer, and one of the top action sports photographers of our time. He has built a life and a career around his passions for travel and adventure by documenting some of the world’s greatest athletes in extreme locations spanning the globe. From alpine climbing in Pakistan’s Karakoram Mountains to ultramarathon racing in the Sahara Desert of Morocco, freight-train hopping in the American West, underwater cave exploration in the Yucatan and snowboarding in Papua New Guinea – if you’re an outdoor adventure lover, you’ve likely seen his work gracing the pages of your favorite magazines and video screens. Corey is a long-time friend and a master storyteller, so when he released his latest book, Stories Behind the Images, I couldn’t wait to have him on the show. In this episode, Corey takes us on a journey behind the scenes of his life and career. We get into: Doing what you love. The process of chasing the things we know we’re supposed to be doing in our heart. Sacrifice. I don’t know a single person at the top of their game who hasn’t sacrificed something to be where they are today. Corey reflects on what what he’s sacrificed […]

The post Corey Rich: Good Enough is Never Good Enough appeared first on Chase Jarvis Photography.

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We study two notions of topological entropy of correspondences introduced by Friedland and Dinh-Sibony. Upper bounds are known for both. We identify a class of holomorphic correspondences whose entropy in the sense of Dinh-Sibony equals the known upper bound. This provides an exact computation of the entropy for rational semigroups. We also explore a connection between these two notions of entropy.

We review some recent results on the phenomenon of surface superconductivity in the framework of Ginzburg-Landau theory for extreme type-II materials. In particular, we focus on the response of the superconductor to a strong longitudinal magnetic field in the regime where superconductivity survives only along the boundary of the wire. We derive the energy and density asymptotics for samples with smooth cross section, up to curvature-dependent terms. Furthermore, we discuss the corrections in presence of corners at the boundary of the sample.

We study the geometry and topology of exotic Springer fibers for orbits corresponding to one-row bipartitions from an explicit, combinatorial point of view. This includes a detailed analysis of the structure of the irreducible components and their intersections as well as the construction of an explicit affine paving. Moreover, we compute the ring structure of cohomology by constructing a CW-complex homotopy equivalent to the exotic Springer fiber. This homotopy equivalent space admits an action of the type C Weyl group inducing Kato's original exotic Springer representation on cohomology. Our results are described in terms of the diagrammatics of the one-boundary Temperley-Lieb algebra (also known as the blob algebra). This provides a first step in generalizing the geometric versions of Khovanov's arc algebra to the exotic setting.

In this paper we consider Wronskian polynomials labeled by partitions that can be factorized via the combinatorial concepts of $p$-cores and $p$-quotients. We obtain the asymptotic behavior for these polynomials when the $p$-quotient is fixed while the size of the $p$-core grows to infinity. For this purpose, we associate the $p$-core with its characteristic vector and let all entries of this vector simultaneously tend to infinity. This result generalizes the Wronskian Hermite setting which is recovered when $p=2$.

The problem of minimizing an entropy functional subject to linear constraints is a useful example of partially finite convex programming. In the 1990s, Borwein and Lewis provided broad and easy-to-verify conditions that guarantee strong duality for such problems. Their approach is to construct a function in the quasi-relative interior of the relevant infinite-dimensional set, which assures the existence of a point in the core of the relevant finite-dimensional set. We revisit this problem, and provide an alternative proof by directly appealing to the definition of the core, rather than by relying on any properties of the quasi-relative interior. Our approach admits a minor relaxation of the linear independence requirements in Borwein and Lewis' framework, which allows us to work with certain piecewise-defined moment functions precluded by their conditions. We provide such a computed example that illustrates how this relaxation may be used to tame observed Gibbs phenomenon when the underlying data is discontinuous. The relaxation illustrates the understanding we may gain by tackling partially-finite problems from both the finite-dimensional and infinite-dimensional sides. The comparison of these two approaches is informative, as both proofs are constructive.

In the spirit of very recent articles by J. Bonet, W. Lusky and J. Taskinen we are studying the so-called solid hulls and cores of spaces of weighted entire functions when the weights are given in terms of associated weight functions coming from weight sequences. These sequences are required to satisfy certain (standard) growth and regularity properties which are frequently arising and used in the theory of ultradifferentiable and ultraholomorphic function classes (where also the associated weight function plays a prominent role). Thanks to this additional information we are able to see which growth behavior the so-called "Lusky-numbers", arising in the representations of the solid hulls and cores, have to satisfy resp. if such numbers can exist.

Input transformation based defense strategies fall short in defending against strong adversarial attacks. Some successful defenses adopt approaches that either increase the randomness within the applied transformations, or make the defense computationally intensive, making it substantially more challenging for the attacker. However, it limits the applicability of such defenses as a pre-processing step, similar to computationally heavy approaches that use retraining and network modifications to achieve robustness to perturbations. In this work, we propose a defense strategy that applies random image corruptions to the input image alone, constructs a self-correlation based subspace followed by a projection operation to suppress the adversarial perturbation. Due to its simplicity, the proposed defense is computationally efficient as compared to the state-of-the-art, and yet can withstand huge perturbations. Further, we develop proximity relationships between the projection operator of a clean image and of its adversarially perturbed version, via bounds relating geodesic distance on the Grassmannian to matrix Frobenius norms. We empirically show that our strategy is complementary to other weak defenses like JPEG compression and can be seamlessly integrated with them to create a stronger defense. We present extensive experiments on the ImageNet dataset across four different models namely InceptionV3, ResNet50, VGG16 and MobileNet models with perturbation magnitude set to {epsilon} = 16. Unlike state-of-the-art approaches, even without any retraining, the proposed strategy achieves an absolute improvement of ~ 4.5% in defense accuracy on ImageNet.

Quantum computing has evolved quickly in recent years and is showing significant benefits in a variety of fields. Malware analysis is one of those fields that could also take advantage of quantum computing. The combination of software used to locate the most frequent hashes and $n$-grams between benign and malicious software (KiloGram) and a quantum search algorithm could be beneficial, by loading the table of hashes and $n$-grams into a quantum computer, and thereby speeding up the process of mapping $n$-grams to their hashes. The first phase will be to use KiloGram to find the top-$k$ hashes and $n$-grams for a large malware corpus. From here, the resulting hash table is then loaded into a quantum machine. A quantum search algorithm is then used search among every permutation of the entangled key and value pairs to find the desired hash value. This prevents one from having to re-compute hashes for a set of $n$-grams, which can take on average $O(MN)$ time, whereas the quantum algorithm could take $O(sqrt{N})$ in the number of table lookups to find the desired hash values.

Many efforts of research are devoted to semantic role labeling (SRL) which is crucial for natural language understanding. Supervised approaches have achieved impressing performances when large-scale corpora are available for resource-rich languages such as English. While for the low-resource languages with no annotated SRL dataset, it is still challenging to obtain competitive performances. Cross-lingual SRL is one promising way to address the problem, which has achieved great advances with the help of model transferring and annotation projection. In this paper, we propose a novel alternative based on corpus translation, constructing high-quality training datasets for the target languages from the source gold-standard SRL annotations. Experimental results on Universal Proposition Bank show that the translation-based method is highly effective, and the automatic pseudo datasets can improve the target-language SRL performances significantly.

Histopathology is a reflection of the molecular changes and provides prognostic phenotypes representing the disease progression. In this study, we introduced feature scores generated from hematoxylin and eosin histology images based on deep learning (DL) models developed for prostate pathology. We demonstrated that these feature scores were significantly prognostic for time to event endpoints (biochemical recurrence and cancer-specific survival) and had simultaneously molecular biologic associations to relevant genomic alterations and molecular subtypes using already trained DL models that were not previously exposed to the datasets of the current study. Further, we discussed the potential of such feature scores to improve the current tumor grading system and the challenges that are associated with tumor heterogeneity and the development of prognostic models from histology images. Our findings uncover the potential of feature scores from histology images as digital biomarkers in precision medicine and as an expanding utility for digital pathology.

We show that combining a prediction model (based on neural networks), with a new method of test pooling (better than the original Dorfman method, and better than double-pooling) called 'Grid', we can reduce the number of Covid-19 tests by 73%.

Cassava a major food crop in many parts of Africa, has majorly been affected by Cassava Brown Streak Disease (CBSD). The disease affects tuberous roots and presents symptoms that include a yellow/brown, dry, corky necrosis within the starch-bearing tissues. Cassava breeders currently depend on visual inspection to score necrosis in roots based on a qualitative score which is quite subjective. In this paper we present an approach to automate root necrosis scoring using deep convolutional neural networks with semantic segmentation. Our experiments show that the UNet model performs this task with high accuracy achieving a mean Intersection over Union (IoU) of 0.90 on the test set. This method provides a means to use a quantitative measure for necrosis scoring on root cross-sections. This is done by segmentation and classifying the necrotized and non-necrotized pixels of cassava root cross-sections without any additional feature engineering.

Correlation alignment (CORAL), a representative domain adaptation (DA) algorithm, decorrelates and aligns a labelled source domain dataset to an unlabelled target domain dataset to minimize the domain shift such that a classifier can be applied to predict the target domain labels. In this paper, we implement the CORAL on quantum devices by two different methods. One method utilizes quantum basic linear algebra subroutines (QBLAS) to implement the CORAL with exponential speedup in the number and dimension of the given data samples. The other method is achieved through a variational hybrid quantum-classical procedure. In addition, the numerical experiments of the CORAL with three different types of data sets, namely the synthetic data, the synthetic-Iris data, the handwritten digit data, are presented to evaluate the performance of our work. The simulation results prove that the variational quantum correlation alignment algorithm (VQCORAL) can achieve competitive performance compared with the classical CORAL.

Recently, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread rapidly across the world. Due to the large number of affected patients and heavy labor for doctors, computer-aided diagnosis with machine learning algorithm is urgently needed, and could largely reduce the efforts of clinicians and accelerate the diagnosis process. Chest computed tomography (CT) has been recognized as an informative tool for diagnosis of the disease. In this study, we propose to conduct the diagnosis of COVID-19 with a series of features extracted from CT images. To fully explore multiple features describing CT images from different views, a unified latent representation is learned which can completely encode information from different aspects of features and is endowed with promising class structure for separability. Specifically, the completeness is guaranteed with a group of backward neural networks (each for one type of features), while by using class labels the representation is enforced to be compact within COVID-19/community-acquired pneumonia (CAP) and also a large margin is guaranteed between different types of pneumonia. In this way, our model can well avoid overfitting compared to the case of directly projecting highdimensional features into classes. Extensive experimental results show that the proposed method outperforms all comparison methods, and rather stable performances are observed when varying the numbers of training data.

The Cannabis Issue During normal times, I-90 Green House is like a destination resort for marijuana lovers.…