Carol E. Nicholson, MD, MS, FAAP, is the Project Scientist for the Collaborative Pediatric Critical Care Research Network (CPCCRN) and Program Director for Pediatric Care and Rehabilitation Research (PCCR).

Margaret Parker, MD, MCCM, speaks with Kyle Rehder, MD, assistant professor of pediatrics in the division of pediatric critical care medicine at Duke Children Hospital.

The temporary suspension of immigration will affect those who are legally seeking entry into the United States for employment but it will not impact the ones who are already living in the country, the order said.

Recent reports have suggested that the combination of the anti-malaria drug hydroxychloroquine, and the antibiotic azithromycin may help patients with COVID-19, said scientists from the New York University School of Medicine in the US.

Good nutrition and correct management seem to have the ability to largely downplay the effects of equine herpes virus 1 (EHV-1) in horses, a new study out of Belgium shows. EHV-1 traditionally affects horses that are less than one year old; the virus resides in the upper respiratory tract, replicates and enters the bloodstream. EHV-1 […]

The post Can Proper Nutrition Reduce EHV-1 Risk? One Study Says Yes appeared first on Horse Racing News | Paulick Report.

Josh Rushton writes: I’ve been following your blog for a while and checked in today to see if there was a thread on last week’s big-splash Stanford antibody study (the one with the shocking headline that they got 50 positive results in a “random” sample of 3330 antibody tests, suggesting that nearly 2% of the […]

The following came in the email: I’m a reporter for **, and am looking for comment on the stats Gov Cuomo just released. Would you be available for a 10-minute phone conversation? Please let me know. Thanks so much, and here’s the info: Here is the relevant part: In New York City, about 21 percent, […]

tl;dr: Their 95% interval for the infection rate, given the data available, is [0.7%, 1.8%]. My Bayesian interval is [0.3%, 2.4%]. Most of what makes my interval wider is the possibility that the specificity and sensitivity of the tests can vary across labs. To get a narrower interval, you’d need additional assumptions regarding the specificity […]

The other day we posted some Stan models of coronavirus infection rate from the Stanford study in Santa Clara county. The Bayesian setup worked well because it allowed us to directly incorporate uncertainty in the specificity, sensitivity, and underlying infection rate. Mitzi Morris put all this in a Google Collab notebook so you can run […]

This first-of-its-kind study zeroed in on the optimal amount of time the average person could spend in contact with nature in order to enjoy its benefits.

The post Stressed? This Study Says You Simply Need a 20-Minute ‘Nature Pill’ appeared first on Good News Network.

According to research conducted around four coal-powered plants in Louisville, Kentucky, retiring coal has a noticeable effect on people's health.

The post As Coal Usage Declines, New Study Finds Dramatic Decrease in Asthma Symptoms and Hospitalizations appeared first on Good News Network.

If you're enduring a period of anxiety or uneasiness, this study from the University of California says that Tetris is the perfect solution.

The post Next Time You’re Feeling Particularly Stressed or Anxious, This Study Says You Should Play Tetris appeared first on Good News Network.

Roads are important ecological features of forest landscapes, but their cause-andeffect relationships with other ecosystem components are only recently becoming included in integrated landscape analyses. Simulation models can help us to understand how forested landscapes respond over time to disturbance and socioeconomic factors, and potentially to address the important role roads play in these processes.

Principal findings of the National Fire and Fire Surrogate (FFS) study are presented in an annotated bibliography and summarized in tabular form by site, discipline (ecosystem component), treatment type, and major theme. Composed of 12 sites, the FFS is a comprehensive multidisciplinary experiment designed to evaluate the costs and ecological consequences of alternative fuel reduction treatments in seasonally dry forests of the United States. The FFS has a common experimental design across the 12-site network, with each site a fully replicated experiment that compares four treatments: prescribed fi re, mechanical treatments, mechanical + prescribed fire, and an unmanipulated control. We measured treatment cost and variables within several components of the ecosystem, including vegetation, the fuel bed, soils, bark beetles, tree diseases, and wildlife in the same 10-ha experimental units. This design allowed us to assemble a fairly comprehensive picture of ecosystem response to treatment at the site scale, and to compare treatment response across a wide variety of conditions.

DensityDesign Research Lab took part in the Digital Methods Initiative... more

This report examines public perspectives on disturbance-based management conducted in the central Cascade Range in Oregon as part of the Blue River Landscape Strategy.

Biomass resources in Alaska are extensive and diverse, comprising millions of acres of standing small-diameter trees, diseased or dead trees, and trees having lowgrade timber.

The Fall River research site in coastal Washington is an affiliate installation of the North American Long-Term Soil Productivity (LTSP) network, which constitutes one of the world's largest coordinated research programs addressing forest management impacts on sustained productivity. Overall goals of the Fall River study are to assess effects of biomass removals, soil compaction, tillage, and vegetation control on site properties and growth of planted Douglas-fir (Pseudotsuga menziesii (Mirb.) Franco). Biomass-removal treatments included removal of commercial bole (BO), bole to 5-cm top diameter (BO5), total tree (TT), and total tree plus all legacy woody debris (TT+). Vegetation control (VC) effects were tested in BO, while soil compaction and compaction plus tillage were imposed in BO+VC treatment. All treatments were imposed in 1999. The preharvest stand contained similar amounts of carbon (C) above the mineral soil (292 Mg/ha) as within the mineral soil to 80- cm depth including roots (298 Mg/ha). Carbon stores above the mineral soil ordered by size were live trees (193 Mg/ha), old-growth logs (37 Mg/ha), forest floor (27 Mg/ha), old-growth stumps and snags (17 Mg/ha), coarse woody debris (11 Mg/ha), dead trees/snags (7 Mg/ha), and understory vegetation (0.1 Mg/ha). The mineral soil to 80-cm depth contained 248 Mg C/ha, and roots added 41 Mg/ha. Total nitrogen (N) in mineral soil and roots (13 349 kg/ha) was more than 10 times the N store above the mineral soil (1323 kg/ha). Postharvest C above mineral soil decreased to 129, 120, 63, and 50 Mg/ha in BO, BO5, TT, and TT+, respectively. Total N above the mineral soil decreased to 722, 747, 414, and 353 Mg/ha in BO, BO5, TT, and TT+, respectively. The ratio of total C above the mineral soil to total C within the mineral soil was markedly altered by biomass removal, but proportions of total N stores were reduced only 3 to 6 percent owing to the large soil N reservoir on site.

Moss growing on urban trees is a useful bio-indicator of cadmium air pollution in Portland, Oregon, a U.S. Forest Service Pacific Northwest Research Station-led study has found. The work—the first to use moss to generate a rigorous and detailed map of air pollution in a U.S. city—is published online in the journal Science of the Total Environment.

Cities have become more committed to ecological restoration and management activities in urban natural areas.

Over the past decade, wood-energy use in Alaska has grown dramatically.

Study objectives were to evaluate yearly fluctuations in herbage canopy cover and production to aid in defining characteristics of range condition guides. Sites are located in the forested Blue Mountains of central Oregon. They were selected from those used to develop range condition guides where soil, topographic, and vegetation parameters were measured as a characterization of best range condition. Plant community dominants were ponderosa pine/pinegrass, ponderosa pine/bitterbrush/Idaho fescue savanna, low sagebrush/bluebunch wheatgrass, and rigid sagebrush scabland. None of the sites were grazed during the previous 30 years or during the 27-year study. Each location was permanently marked by fence posts, and a meter board was placed 10 m down an established transect line. Photographs (color slides) were taken down the transect with closeups left and right of the meter board. Sampling was limited to August 1-4 each year when canopy cover and herbage production were determined. Both total canopy cover and herbage production varied by about a 2.4-fold difference on each site over the 27 years. Apparently "good range condition" may be something of a "running target" and lacks a well-defined set of parameters. Canopy cover is a poor parameter for characterizing range condition. Three of the four plant communities were dominated by bunchgrasses. Abundance of seedheads is commonly used to indicate good range health. But on these sites, seedheads were not produced about half the time. Because these sites were in "good range condition," lack of seedhead production may indicate maximum competition in the community. Maximum competition and maximum vigor do not seem to be synonymous. These bunchgrass communities varied in their greenness on the first of August each year from cured brown to rather vibrant green suggesting important annual differences in phenology. The pinegrass community, being dominated by rhizomatous species, showed surprising variance in seedhead production. Pinegrass did not flower, but Wheeler's bluegrass, lupine, and Scouler's woolyweed were quite variable, averaging inflorescences only 75 percent of the time.

AMERICAN PUBLIC MEDIA's MARKETPLACE and EDISON RESEARCH have released new polling data showing Americans' increasing economic anxiety due to the pandemic. In the annual survey, 69% of … more

Research Highlights: Most home blood pressure monitoring devices sold in Australia by global e-commerce sites such as Amazon and eBay have not been validated (tested for accuracy). Using an unvalidated device could lead to incorrect at-home blood...

Research Highlights: Using genetic analysis, researchers found higher alcohol consumption increased risks for stroke and peripheral artery disease (PAD). Studies using genetic analysis don’t rely on observational data, which often use self-reported...

Research Highlights: There are few treatment options for bleeding stroke. There was a trend towards reduced growth of brain bleeds in those treated with the antifibrinolytic agent tranexamic acid within 4.5 hours of stroke onset, compared to those ...

Research Highlights: The Vein-Chip device, a miniaturized version of a large human vein, allowed scientists to study changes in vein wall cells, blood flow and other functions that lead to deep vein thrombosis in humans. The device focused on venous ...

Hong Kong has been embroiled in increasingly violent social unrest since June, 2019. We examined the associated population mental health burden, risk factors, and health-care needs.

"This study challenges current perceptions that most people with a sports-related mTBI recover within 10 to 14 days," said lead author Dr. Stephen Kara, from Axis Sports Medicine in Auckland, New Zealand.

By Jake Johnson Common Dreams And colleague says “global warming” no longer strong enough term. “Global heating is technically more correct because we are talking about changes in the energy balance of the planet.” Declaring that after three decades of … Continue reading →

Center for Biological Diversity Press Release WASHINGTON – Four commonly used neonicotinoid pesticides can harm bees and other pollinators, according to a new analysis by California’s Department of Pesticide Regulation. The study found that current approved uses of the “neonics” … Continue reading →

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

By Jessica Corbett Common Dreams “The most robust study of the ice mass balance of Antarctica to date,” scientists say, “now puts Antarctica in the frame as one of the largest contributors to sea-level rise.” Scientists are expressing alarm over … Continue reading →

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

By Jake Johnson Common Dreams And colleague says “global warming” no longer strong enough term. “Global heating is technically more correct because we are talking about changes in the energy balance of the planet.” Declaring that after three decades of … Continue reading →

By Jessica Corbett Common Dreams “We face a stark choice [between] radical, disruptive changes to our physical world or radical, disruptive changes to our political and economic systems to avoid those outcomes.” As people across the globe mobilize to demand … Continue reading →

The central aim of this paper is to study (regional) fractional Poincar'e type inequalities on unbounded domains satisfying the finite ball condition. Both existence and non existence type results are established depending on various conditions on domains and on the range of $s in (0,1)$. The best constant in both regional fractional and fractional Poincar'e inequality is characterized for strip like domains $(omega imes mathbb{R}^{n-1})$, and the results obtained in this direction are analogous to those of the local case. This settles one of the natural questions raised by K. Yeressian in [ extit{Asymptotic behavior of elliptic nonlocal equations set in cylinders, Asymptot. Anal. 89, (2014), no 1-2}].

When time-dependent partial differential equations (PDEs) are solved numerically in a domain with curved boundary or on a curved surface, mesh error and geometric approximation error caused by the inaccurate location of vertices and other interior grid points, respectively, could be the main source of the inaccuracy and instability of the numerical solutions of PDEs. The role of these geometric errors in deteriorating the stability and particularly the conservation properties are largely unknown, which seems to necessitate very fine meshes especially to remove geometric approximation error. This paper aims to investigate the effect of geometric approximation error by using a high-order mesh with negligible geometric approximation error, even for high order polynomial of order p. To achieve this goal, the high-order mesh generator from CAD geometry called NekMesh is adapted for surface mesh generation in comparison to traditional meshes with non-negligible geometric approximation error. Two types of numerical tests are considered. Firstly, the accuracy of differential operators is compared for various p on a curved element of the sphere. Secondly, by applying the method of moving frames, four different time-dependent PDEs on the sphere are numerically solved to investigate the impact of geometric approximation error on the accuracy and conservation properties of high-order numerical schemes for PDEs on the sphere.

Recent studies have confirmed a growing trend, especially among youngsters, of using Online Social Media as favourite information platform at the expense of traditional mass media. Indeed, they can easily reach a wide audience at a high speed; but exactly because of this they are the preferred medium for influencing public opinion via so-called fake news. Moreover, there is a general agreement that the main vehicle of fakes news are malicious software robots (bots) that automatically interact with human users. In previous work we have considered the problem of tagging human users in Online Social Networks as credulous users. Specifically, we have considered credulous those users with relatively high number of bot friends when compared to total number of their social friends. We consider this group of users worth of attention because they might have a higher exposure to malicious activities and they may contribute to the spreading of fake information by sharing dubious content. In this work, starting from a dataset of fake news, we investigate the behaviour and the degree of involvement of credulous users in fake news diffusion. The study aims to: (i) fight fake news by considering the content diffused by credulous users; (ii) highlight the relationship between credulous users and fake news spreading; (iii) target fake news detection by focusing on the analysis of specific accounts more exposed to malicious activities of bots. Our first results demonstrate a strong involvement of credulous users in fake news diffusion. This findings are calling for tools that, by performing data streaming on credulous' users actions, enables us to perform targeted fact-checking.

One of the main open problems in the qualitative theory of real planar differential systems is the study of limit cycles. In this article, we present an algorithmic approach for detecting how many limit cycles can bifurcate from the periodic orbits of a given polynomial differential center when it is perturbed inside a class of polynomial differential systems via the averaging method. We propose four symbolic algorithms to implement the averaging method. The first algorithm is based on the change of polar coordinates that allows one to transform a considered differential system to the normal form of averaging. The second algorithm is used to derive the solutions of certain differential systems associated to the unperturbed term of the normal of averaging. The third algorithm exploits the partial Bell polynomials and allows one to compute the integral formula of the averaged functions at any order. The last algorithm is based on the aforementioned algorithms and determines the exact expressions of the averaged functions for the considered differential systems. The implementation of our algorithms is discussed and evaluated using several examples. The experimental results have extended the existing relevant results for certain classes of differential systems.

Unsupervised learning of hidden representations has been one of the most vibrant research directions in machine learning in recent years. In this work we study the brain-like Bayesian Confidence Propagating Neural Network (BCPNN) model, recently extended to extract sparse distributed high-dimensional representations. The saliency and separability of the hidden representations when trained on MNIST dataset is studied using an external classifier, and compared with other unsupervised learning methods that include restricted Boltzmann machines and autoencoders.

We empirically evaluate an undervolting technique, i.e., underscaling the circuit supply voltage below the nominal level, to improve the power-efficiency of Convolutional Neural Network (CNN) accelerators mapped to Field Programmable Gate Arrays (FPGAs). Undervolting below a safe voltage level can lead to timing faults due to excessive circuit latency increase. We evaluate the reliability-power trade-off for such accelerators. Specifically, we experimentally study the reduced-voltage operation of multiple components of real FPGAs, characterize the corresponding reliability behavior of CNN accelerators, propose techniques to minimize the drawbacks of reduced-voltage operation, and combine undervolting with architectural CNN optimization techniques, i.e., quantization and pruning. We investigate the effect of environmental temperature on the reliability-power trade-off of such accelerators. We perform experiments on three identical samples of modern Xilinx ZCU102 FPGA platforms with five state-of-the-art image classification CNN benchmarks. This approach allows us to study the effects of our undervolting technique for both software and hardware variability. We achieve more than 3X power-efficiency (GOPs/W) gain via undervolting. 2.6X of this gain is the result of eliminating the voltage guardband region, i.e., the safe voltage region below the nominal level that is set by FPGA vendor to ensure correct functionality in worst-case environmental and circuit conditions. 43% of the power-efficiency gain is due to further undervolting below the guardband, which comes at the cost of accuracy loss in the CNN accelerator. We evaluate an effective frequency underscaling technique that prevents this accuracy loss, and find that it reduces the power-efficiency gain from 43% to 25%.

In encoder-decoder neural models, multiple encoders are in general used to represent the contextual information in addition to the individual sentence. In this paper, we investigate multi-encoder approaches in documentlevel neural machine translation (NMT). Surprisingly, we find that the context encoder does not only encode the surrounding sentences but also behaves as a noise generator. This makes us rethink the real benefits of multi-encoder in context-aware translation - some of the improvements come from robust training. We compare several methods that introduce noise and/or well-tuned dropout setup into the training of these encoders. Experimental results show that noisy training plays an important role in multi-encoder-based NMT, especially when the training data is small. Also, we establish a new state-of-the-art on IWSLT Fr-En task by careful use of noise generation and dropout methods.

By Joel Bahr Berkeley News A new study co-authored by UC Berkeley professor Michael Manga confirms that earthquakes in America’s oil country — including a 4.8 magnitude quake that rocked Texas in 2012 — are being triggered by significant injections … Continue reading →

There are no legal skirmishes in Ford v Ferrari.…

Conversely, greater infection rate suggests much lower fatality rate. A recent Stanford University study of COVID-19 infection in Santa Clara County suggests that the disease is vastly more widespread in the Bay Area than official data shows. Because the test was performed on volunteers rather than a randomized population, it is likely to have over-reported the rate of infection among its subjects.…

It takes some balls to say weed doubles the risk of stroke, and to not control the study for tobacco or alcohol use. New Zealand professor of clinical neurology Alan Barber: You sir, have some balls.…

Audio File Edit | Remove Saturday marks 50 years since the first moon landing. Now, NASA is tapping a team from Stony Brook University to investigate how going to space impacts human health. The team is one of eight NASA has selected to help further exploration of our solar system with robots and astronauts. Timothy Glotch, a professor of geosciences at Stony Brook, leads the team. Professor Glotch, thank you for joining All Things Considered. What do you hope to find in your research? So the overall goal of the RISE2 team, which is the name of our team, is to help pave the way for humans to safely return to the moon and explore and get back safely to Earth. So as you mentioned one of our goals is to try and understand the health effects of exploration. We have a team of geochemists working with folks in the medical school at Stony Brook University to understand the reactivity of dust on the moon, and how if you breathe that in how that might lead to potential health effects. And how

A Southern Connecticut State University study explores the link between cholesterol-lowering drugs called statins and Type 2 Diabetes.

A new study from Yale University found some users of the popular e-cigarette brand Juul might be inhaling unexpected chemicals.