With social distancing efforts (or just distance) keeping many families apart for Mother's Day, our features staffers share how they'll be celebrating their moms this weekend. Happy Mother's Day!

With social distancing efforts (or just distance) keeping many families apart for Mother's Day, our features staffers share how they'll be celebrating their moms this weekend. Happy Mother's Day!

From baking a Japanese-style souffle cheesecake to making trivets out of wine corks, here's what our features staffers recently learned from YouTube videos.

With social distancing efforts (or just distance) keeping many families apart for Mother's Day, our features staffers share how they'll be celebrating their moms this weekend. Happy Mother's Day!

With social distancing efforts (or just distance) keeping many families apart for Mother's Day, our features staffers share how they'll be celebrating their moms this weekend. Happy Mother's Day!

With social distancing efforts (or just distance) keeping many families apart for Mother's Day, our features staffers share how they'll be celebrating their moms this weekend. Happy Mother's Day!

Here are our features staffers’ recommendations for shows to check out if you’re craving comfort or nostalgia, want to feel inspired or empowered, or simply need a good laugh.

Meet the dog on the frontline of defence against African Swine Fever, and rejoice with Menindee locals as water finally reaches their parched lakes.

This week we find out how COVID-19 is affecting the highly mobile force of international backpackers; dive deeper on the price hikes for fruit and veg; and give a round of applause to businesses changing what they do to help fight the disease.

This week we hear about the changes we want to keep post coronavirus; why veggie seedlings and seeds are selling out and will more Australians look to farm work as job losses increase?

This week we welcome water down the Darling River, all the way to Pooncarie; the panic buying of mince has now led to heavy discounting; and let's spend some hours on the road with the nation's busiest drivers - truckies.

This week we find out what it is to be flexitarian; discover the precautions farmers are taking to keep their workforce safe amid coronavirus; and learn how a vegetable could become part of your sunscreen.

This week how the closure of restaurants is hurting other boutique business; and butchers are bouncing back after a rush on meat.

This week we find out why Australia wants a review of wet markets; why farmers can't get their tractors repaired and how agriculture is hitting its sweet spot.

This week we find out why the US meat industry is in coronavirus chaos; hear the Belgian potato industry's cry for frites; and discover why this Mothers' Day will be a great one for flower growers.

Tasmania's cool conditions have never stopped its people enjoying swimming and diving whether it be in rivers, springs, basins or even an old farm block.

Google Lens now lets you copy/paste text from handwritten notes to your laptop!

He has some huge names on his next project.

BACKGROUND Since December 2019, an outbreak of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in Wuhan, and is now becoming a global threat. We aimed to delineate and compare the immunological features of severe and moderate COVID-19.METHODS In this retrospective study, the clinical and immunological characteristics of 21 patients (17 male and 4 female) with COVID-19 were analyzed. These patients were classified as severe (11 cases) and moderate (10 cases) according to the guidelines released by the National Health Commission of China.RESULTS The median age of severe and moderate cases was 61.0 and 52.0 years, respectively. Common clinical manifestations included fever, cough, and fatigue. Compared with moderate cases, severe cases more frequently had dyspnea, lymphopenia, and hypoalbuminemia, with higher levels of alanine aminotransferase, lactate dehydrogenase, C-reactive protein, ferritin, and D-dimer as well as markedly higher levels of IL-2R, IL-6, IL-10, and TNF-α. Absolute numbers of T lymphocytes, CD4+ T cells, and CD8+ T cells decreased in nearly all the patients, and were markedly lower in severe cases (294.0, 177.5, and 89.0 × 106/L, respectively) than moderate cases (640.5, 381.5, and 254.0 × 106/L, respectively). The expression of IFN-γ by CD4+ T cells tended to be lower in severe cases (14.1%) than in moderate cases (22.8%).CONCLUSION The SARS-CoV-2 infection may affect primarily T lymphocytes, particularly CD4+ and CD8+ T cells, resulting in a decrease in numbers as well as IFN-γ production by CD4+ T cells. These potential immunological markers may be of importance because of their correlation with disease severity in COVID-19.TRIAL REGISTRATION This is a retrospective observational study without a trial registration number.FUNDING This work is funded by grants from Tongji Hospital for the Pilot Scheme Project, and partly supported by the Chinese National Thirteenth Five Years Project in Science and Technology for Infectious Disease (2017ZX10202201).

Thankfully, the world is coming around to the fact that eco-friendly travel doesn't have to mean sacrificing comfort or luxury. As one of Kimpton's latest sustainable properties, Kimpton's Seafire Resort + Spa is leading the way for travelers who want to enjoy gorgeous locations while doing their part to protect the environment. Located on the beautiful Grand Cayman, the eco-resort was built with several green features, including solar power, LED lighting, recycled building materials, native plants and even turtle-friendly lighting.[...]

Sustainable-finance expert and Princeton alumna Marilyn Waite of the Hewlett Foundation speaks to “All for Earth” about mobilizing $1 trillion to fight climate change.   

Endurance athlete Clare Gallagher, Princeton Class of 2014, talks about her climate activism on the “All for Earth” podcast.

Want to get some awesome added value out of movies you already own? Look for these neat tricks to find the Easter eggs hidden in popular DVDs.

GOOGLE CHROME is the undisputed champion of the internet browser marketplace, but one of its big rivals has received a major update that may tempt you over.

IndyCar driver Zach Veach and a 1909 car are making a guest appearance during the Indianapolis Opera's production of "Elixir of Love."

In NBC Sports' 'Racing Week in America', IndyCar fans will get to see some of the most exciting races from the series' last decade.

Take a peek inside this modern Fountain Square three story home, Wednesday, Jan. 23, 2019.

• Tesla's vehicles are and always have been crammed with great ideas.
• These range from touchscreen interfaces to innovative battery designs to staggering acceleration.
• I've driven or experienced every vehicle Tesla has ever sold or intends to sell in the future.
• Here are all my favorite features, ranked.
• Visit Business Insider's homepage for more stories.

In about two decades, Tesla has done what everyone in the auto industry thought was impossible: create an all-electric brand that could sell hundreds of thousands of vehicles.

Tesla could have done that in a boring or modest way, developing  the equivalent of an electric VW Beetle.

Instead, Tesla made fantastically compelling cars that are fast, look amazing, and are packed with features.

Here's a rundown of all my favorites, ranked from bottom to top:

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Tesla has been in business for 17 years. In that period of time, it's consistently captivated the world not just because it makes all-electric cars, but because those cars have always been packed with cool features.

"Easter eggs" — frivolous little extras that Tesla throws in whenever it does software updates. Owners enjoy finding them.

The Model X's falcon-wing doors. Dramatic, slightly impractical, and a nightmare to manufacture. But Tesla has the only SUV on the road with such an exotic feature.

Bioweapon Defense Mode uses a powerful filtration system to render the interior air quality of the Model X or Model S "hospital grade," according to Tesla.

The Model X's 5,000-pound towing capacity. Nobody ever talks about it, but the Model X can tow a goodly amount for an electric SUV. It's very competitive with gas-powered SUVs that tout their capabilities.

The large, central portrait touchscreen on the Model S and Model X. This mega-tablet interface was a revelation when Tesla first introduced it on the Model S in 2012, but it's now emulated throughout the auto industry. It's actually canted slightly toward the driver.

Aero Wheels on the Model 3. The proprietary design is standard on the vehicle, enhancing airflow, reducing drag, and improving range.

Ludicrous Mode. The acceleration feature — which followed Insane Mode, first rolled for the all-wheel-drive Model S — enables Teslas to cover the 0-60 mph sprint at supercar-like velocities.

Frunks! All Teslas currently on sale have front trunks, expanding their cargo capacities. Having no gas engine helps to free up space.

Trunks! Teslas are commendable cargo haulers because they're effectively boxes on top of battery packs, creating ample space for luggage, groceries, of gear.

Quiet. In operation, Teslas are notably quiet and smooth, thanks to the optimization of airflow, solid build quality, and mostly silent electric motors.

The Tesla smartphone app. I've actually tested a number of these from assorted manufacturers, but Tesla's is the only one that's truly useful. For the Model 3, it replaces the traditional key fob.

The glass roof of the Model 3. It creates a stunning silhouette and floods the cabin with natural light.

The space-age operators' platform in the cab of the Tesla Semi. This space — clearly anticipating a time when semi-trucks drive themselves — is the most futuristic thing Tesla has ever designed.

Roadsters in space. CEO Elon Musk's personal Tesla Roadster was launched atop the SpaceX Falcon Heavy rocket in 2017, as a test payload. Piloted by "Starman," it set a new standard for automotive marketing.

Tesla's in-house audio system. Most luxury brands partner with a big-name audio company for premium sound systems, but Tesla developed its own — and it sounds absolutely fantastic.

Charge monitoring and mapping. Charging is among the most important things Tesla has to think about, so the company has made it a priority to track it in the vehicle and via the app, as well as to plot road-trip courses that use GPS navigation to permit island-hopping from charging location to charging location.

Navigate on Autopilot combines Tesla's GPS mapping system with Autopilot's ability to execute lane changes and freeway on- and off-ramping maneuvers.

The new Roadster's staggering performance specs. The all-new machine has a claimed 0-60 mph time of 1.9 seconds, making it the fastest production vehicle in the world.

The Model 3's consolidated vehicle-management system and central landscape touchscreen. Almost every aspect of the Model 3 is controlled here, and the traditional instrument cluster has been moved to the left side of the screen, and streamlined.

The radical design of the Cybertruck. In late 2019, Tesla had fallen into a design rut. The otherworldly, stainless-steel Cybertruck changed all that. Controversial to be sure, but also thrilling.

Read about the Cybertrucks' rad design.

Manufacturing simplicity. Electric cars are less complicated to build than gas-powered ones. Tesla has designed its factory in China to optimize this aspect of production, which could support and enviable profit margin for Tesla in the 20-30% range.

The white interior. It's an extra, but a very popular one. I was initially skeptical, but I'm now a fan. After all, it survived a 700-plus-mile family road trip!

Read about the road trip.

Over-the-air software updates. Just like smartphones, Teslas can be routinely upgraded while sitting in owners' driveways. This means that an older Tesla can acquire new features quite literally overnight.

The Supercharger network. Access to DC fast-charging used to be a lifetime perk for Tesla owners, but Tesla has begun to bill for the service. Still, it enables longer road trips and is completely integrated with each Tesla vehicle's systems.

Tesla's design philosophy. Head designer Franz von Holzhausen and Elon Musk argue that it doesn't cost anymore to make Teslas beautiful. But von Holzhausen has also exercised tasteful restraint, ensuring that Tesla's vehicles have a long market life.

Read about Franz's design influence.

Performance! Tesla vehicles have always combined electric virtuosity with industry-leading performance. Owners can usually expect to be driving one of the fastest cars on the road.

Battery design. Tesla has taken a complicated, multi-cell concept — thousands are wired together in packs — and perfected it, yielding impressive range and performance. The company also manufactures its own packs, in partnership with Panasonic.

The Model 3's minimalist driving experience. With the clean dashboard, you can focus on the road ahead. It's a blissful thing and my top Tesla feature.

The bottom line is that while plenty of other automakers put cool features in their cars, Teslas are crammed with ideas, ideas, and more ideas.

Tsung-Heng Tsai
Mar 31, 2020; 0:RA119.001792v1-mcp.RA119.001792
Research

A double Google header as Henry Burrell leads Scott Carey and Sean Bradley down the tech rabbit hole. Alphabet's most famous outlet has redesigned Gmail for desktop, but what does that mean for businesses and consumers. Will anyone notice?

Then what is Chat? Not Google Chat or Android Chat, mind - just Chat. Will the Google-led initiative really transform text messaging on Android or is it doomed to forever to be a fragmented mess?

Sean then talks us through the latest AMD processors to challenge Intel. Intel hasn't had the best of year's after Apple announced it is going solo. Is there a change afoot?

See acast.com/privacy for privacy and opt-out information.

In bottom-up mass spectrometry-based proteomics, relative protein quantification is often achieved with data-dependent acquisition (DDA), data-independent acquisition (DIA), or selected reaction monitoring (SRM). These workflows quantify proteins by summarizing the abundances of all the spectral features of the protein (e.g., precursor ions, transitions or fragments) in a single value per protein per run. When abundances of some features are inconsistent with the overall protein profile (for technological reasons such as interferences, or for biological reasons such as post-translational modifications), the protein-level summaries and the downstream conclusions are undermined. We propose a statistical approach that automatically detects spectral features with such inconsistent patterns. The detected features can be separately investigated, and if necessary removed from the dataset. We evaluated the proposed approach on a series of benchmark controlled mixtures and biological investigations with DDA, DIA and SRM data acquisitions. The results demonstrated that it can facilitate and complement manual curation of the data. Moreover, it can improve the estimation accuracy, sensitivity and specificity of detecting differentially abundant proteins, and reproducibility of conclusions across different data processing tools. The approach is implemented as an option in the open-source R-based software MSstats.

OBJECTIVE

Type 2 diabetes develops for many years before diagnosis. We aimed to reveal early metabolic features characterizing liability to adult disease by examining genetic liability to adult type 2 diabetes in relation to metabolomic traits across early life.

Since the beginning, Inoreader was meant to be a power-user tool, pushing the boundaries of what RSS readers can do.…

Georg Lindgren.

Source: Statistical Science, Volume 34, Number 1, 100--128.

Abstract:
We describe and compare how methods based on the classical Rice’s formula for the expected number, and higher moments, of level crossings by a Gaussian process stand up to contemporary numerical methods to accurately deal with crossing related characteristics of the sample paths. We illustrate the relative merits in accuracy and computing time of the Rice moment methods and the exact numerical method, developed since the late 1990s, on three groups of distribution problems, the maximum over a finite interval and the waiting time to first crossing, the length of excursions over a level, and the joint period/amplitude of oscillations. We also treat the notoriously difficult problem of dependence between successive zero crossing distances. The exact solution has been known since at least 2000, but it has remained largely unnoticed outside the ocean science community. Extensive simulation studies illustrate the accuracy of the numerical methods. As a historical introduction an attempt is made to illustrate the relation between Rice’s original formulation and arguments and the exact numerical methods.

Nicole Bohme Carnegie.

Source: Statistical Science, Volume 34, Number 1, 90--93.

Abstract:
With a thorough exposition of the methods and results of the 2016 Atlantic Causal Inference Competition, Dorie et al. have set a new standard for reproducibility and comparability of evaluations of causal inference methods. In particular, the open-source R package aciccomp2016, which permits reproduction of all datasets used in the competition, will be an invaluable resource for evaluation of future methodological developments. Building upon results from Dorie et al., we examine whether a set of potential modifications to Bayesian Additive Regression Trees (BART)—multiple chains in model fitting, using the propensity score as a covariate, targeted maximum likelihood estimation (TMLE), and computing symmetric confidence intervals—have a stronger impact on bias, RMSE, and confidence interval coverage in combination than they do alone. We find that bias in the estimate of SATT is minimal, regardless of the BART formulation. For purposes of CI coverage, however, all proposed modifications are beneficial—alone and in combination—but use of TMLE is least beneficial for coverage and results in considerably wider confidence intervals.

The capacity to process information in conceptual form is a fundamental aspect of human cognition, yet little is known about how this type of information is encoded in the brain. Although the role of sensory and motor cortical areas has been a focus of recent debate, neuroimaging studies of concept representation consistently implicate a network of heteromodal areas that seem to support concept retrieval in general rather than knowledge related to any particular sensory-motor content. We used predictive machine learning on fMRI data to investigate the hypothesis that cortical areas in this "general semantic network" (GSN) encode multimodal information derived from basic sensory-motor processes, possibly functioning as convergence–divergence zones for distributed concept representation. An encoding model based on five conceptual attributes directly related to sensory-motor experience (sound, color, shape, manipulability, and visual motion) was used to predict brain activation patterns associated with individual lexical concepts in a semantic decision task. When the analysis was restricted to voxels in the GSN, the model was able to identify the activation patterns corresponding to individual concrete concepts significantly above chance. In contrast, a model based on five perceptual attributes of the word form performed at chance level. This pattern was reversed when the analysis was restricted to areas involved in the perceptual analysis of written word forms. These results indicate that heteromodal areas involved in semantic processing encode information about the relative importance of different sensory-motor attributes of concepts, possibly by storing particular combinations of sensory and motor features.

SIGNIFICANCE STATEMENT The present study used a predictive encoding model of word semantics to decode conceptual information from neural activity in heteromodal cortical areas. The model is based on five sensory-motor attributes of word meaning (color, shape, sound, visual motion, and manipulability) and encodes the relative importance of each attribute to the meaning of a word. This is the first demonstration that heteromodal areas involved in semantic processing can discriminate between different concepts based on sensory-motor information alone. This finding indicates that the brain represents concepts as multimodal combinations of sensory and motor representations.

It has been proposed that people can generate probabilistic predictions at multiple levels of representation during language comprehension. We used magnetoencephalography (MEG) and electroencephalography (EEG), in combination with representational similarity analysis, to seek neural evidence for the prediction of animacy features. In two studies, MEG and EEG activity was measured as human participants (both sexes) read three-sentence scenarios. Verbs in the final sentences constrained for either animate or inanimate semantic features of upcoming nouns, and the broader discourse context constrained for either a specific noun or for multiple nouns belonging to the same animacy category. We quantified the similarity between spatial patterns of brain activity following the verbs until just before the presentation of the nouns. The MEG and EEG datasets revealed converging evidence that the similarity between spatial patterns of neural activity following animate-constraining verbs was greater than following inanimate-constraining verbs. This effect could not be explained by lexical-semantic processing of the verbs themselves. We therefore suggest that it reflected the inherent difference in the semantic similarity structure of the predicted animate and inanimate nouns. Moreover, the effect was present regardless of whether a specific word could be predicted, providing strong evidence for the prediction of coarse-grained semantic features that goes beyond the prediction of individual words.

SIGNIFICANCE STATEMENT Language inputs unfold very quickly during real-time communication. By predicting ahead, we can give our brains a "head start," so that language comprehension is faster and more efficient. Although most contexts do not constrain strongly for a specific word, they do allow us to predict some upcoming information. For example, following the context of "they cautioned the...," we can predict that the next word will be animate rather than inanimate (we can caution a person, but not an object). Here, we used EEG and MEG techniques to show that the brain is able to use these contextual constraints to predict the animacy of upcoming words during sentence comprehension, and that these predictions are associated with specific spatial patterns of neural activity.

LACO AT HOME Features Sheku Kanneh-Mason Interview and Performance & More  Broadway World

My “holiday season” begins and ends with SOLIDWORKS. For me, the “holidays” begin with the new SOLIDWORKS Rollout events, and end with SOLIDWORKS (now 3DEXPERIENCE) World. Yeah, there’s some cider, turkey, and twinkling lights in between, but for me, SOLIDWORKS

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In every new version of SOLIDWORKS there is always some new features that steal all of the attention. In this post i will highlight five favorable features in SOLIDWORKS that may not be as known, but still can help you

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Cornelia de Lange syndrome (CdLS) is a genetic syndrome with multisystem abnormalities. Infections are a significant cause of morbidity and mortality in affected patients and are typically attributed to anatomic abnormalities.

This study identified a high frequency of antibody immunodeficiency in CdLS subjects, indicating a critical need for screening and management of immunodeficiency in CdLS patients with a history of severe or recurrent infections. (Read the full article)

The incidence of Kawasaki disease is increasing in many countries. The only reported Australian incidence (3.4/100 000 <5 years) is almost 20 years old and the current Australian epidemiology and outcomes are unknown.

We analyzed 30 years’ total population hospitalization data from Western Australia. Kawasaki disease incidence increased markedly from 1979 to 2009 and is currently 9.34/100 000 <5 years. The epidemiology and cardiovascular outcomes are similar to other predominantly European-Caucasian populations. (Read the full article)