Title: Pregnancy Can Be Anxious Time for Women With Epilepsy
Category: Health News
Created: 8/18/2022 12:00:00 AM
Last Editorial Review: 8/18/2022 12:00:00 AM

Title: Too Much TV Time May Really Harm Your Brain
Category: Health News
Created: 8/23/2022 12:00:00 AM
Last Editorial Review: 8/24/2022 12:00:00 AM

Title: As Pandemic Eases, It's Boom Times for Cosmetic Surgeons
Category: Health News
Created: 8/24/2022 12:00:00 AM
Last Editorial Review: 8/24/2022 12:00:00 AM

Title: What Time of Day Is Blood Pressure Highest?
Category: Diseases and Conditions
Created: 7/14/2022 12:00:00 AM
Last Editorial Review: 7/14/2022 12:00:00 AM

Title: Postpartum Depression Can Hit Both Mom & Dad, Sometimes at Same Time
Category: Health News
Created: 6/27/2022 12:00:00 AM
Last Editorial Review: 6/28/2022 12:00:00 AM

Extract

We read with great interest the correspondence by T. Bitter and co-workers in the European Respiratory Review, about our recently published review entitled "Central sleep apnoea: not just one phenotype" [1]. We first want to express our gratefulness to the authors for their support and appreciation of our work, particularly regarding the urgent need for an increasingly differentiated view of central sleep apnoea (CSA) in the context of precision medicine.

Without compromising accuracy, point of care testing (POCT) provides immediate results at the time of in person patient consultation. The purpose of this study was to evaluate time until therapeutic intervention with POCT HbA1c versus venipuncture, where venipuncture was considered standard of care.

The primary outcome was time (hours) to implementation of a therapeutic intervention based on POCT HbA1c result, as compared with most recent venipuncture HbA1c before the study and its associated therapeutic intervention. A total of 94 POCT HbA1c tests were included in the primary analysis.

For the POCT HbA1c, the mean time to therapeutic intervention was 1.6 ± 3.14 hours. For the previous venipuncture HbA1c, the mean time to therapeutic intervention was 1376.66 ± 3356.6 hours (P < .001). Overall, this trial showed that POCT HbA1c results in a significantly faster time to therapeutic intervention than venipuncture in a primary care clinic that serves a rural population.

BACKGROUD:Lung volume measurements are important for monitoring functional aeration and recruitment and may help guide adjustments in ventilator settings. The expiratory phase of airway pressure release ventilation (APRV) may provide physiologic information about lung volume based on the expiratory flow-time slope, angle, and time to approach a no-flow state (expiratory time [TE]). We hypothesized that expiratory flow would correlate with estimated lung volume (ELV) as measured using a modified nitrogen washout/washin technique in a large-animal lung injury model.METHODS:Eight pigs (35.2 ± 1.0 kg) were mechanically ventilated using an Engström Carescape R860 on the APRV mode. All settings were held constant except the expiratory duration, which was adjusted based on the expiratory flow curve. Abdominal pressure was increased to 15 mm Hg in normal and injured lungs to replicate a combination of pulmonary and extrapulmonary lung injury. ELV was estimated using the Carescape FRC INview tool. The expiratory flow-time slope and TE were measured from the expiratory flow profile.RESULTS:Lung elastance increased with induced lung injury from 29.3 ± 7.3 cm H2O/L to 39.9 ± 15.1cm H2O/L, and chest wall elastance increased with increasing intra-abdominal pressures (IAPs) from 15.3 ± 4.1 cm H2O/L to 25.7 ± 10.0 cm H2O/L in the normal lung and 15.8 ± 6.0 cm H2O/L to 33.0 ± 6.2 cm H2O/L in the injured lung (P = .39). ELV decreased from 1.90 ± 0.83 L in the injured lung to 0.67 ± 0.10 L by increasing IAP to 15 mm Hg. This had a significant correlation with a TE decrease from 2.3 ± 0.8 s to 1.0 ± 0.1 s in the injured group with increasing insufflation pressures (ρ = 0.95) and with the expiratory flow-time slope, which increased from 0.29 ± 0.06 L/s2 to 0.63 ± 0.05 L/s2 (ρ = 0.78).CONCLUSIONS:Changes in ELV over time, and the TE and flow-time slope, could be used to demonstrate evolving lung injury during APRV. Using the slope to infer changes in functional lung volume represents a unique, reproducible, real-time, bedside technique that does not interrupt ventilation and may be used for clinical interpretation.

Extract

It is of utmost importance that medicines are available at all times for our patients. Historically, medication unavailability has typically, if not exclusively, affected low- and middle-income countries [1]. More recently however, drug shortages have also been reported in high-income European countries [2]. Drug shortages have negative health consequences for patients [3], and a profound economic impact, with the need to resort to more expensive alternatives and demands on healthcare professionals’ time to find, prescribe and dispense alternatives [4].

In nuclear medicine, estimating the number of radioactive decays that occur in a source organ per unit administered activity of a radiopharmaceutical (i.e., the time-integrated activity coefficient [TIAC]) is an essential task within the internal dosimetry workflow. TIAC estimation is commonly derived by least-squares fitting of various exponential models to organ time–activity data (radiopharmaceutical biodistribution). Rarely, however, are methods used to objectively determine the model that best characterizes the data. Additionally, the uncertainty associated with the resultant TIAC is generally not evaluated. As part of the MIRDsoft initiative, MIRDfit has been developed to offer a biodistribution fitting software solution that provides the following essential features and advantages for internal dose assessment: nuclear medicine–appropriate fit functions; objective metrics for guiding best-fit selection; TIAC uncertainty calculation; quality control and data archiving; integration with MIRDcalc software for dose calculation; and a user-friendly Excel-based interface. For demonstration and comparative validation of MIRDfit’s performance, TIACs were derived from serial imaging studies involving ¹⁸F-FDG and ¹⁷⁷Lu-DOTATATE using MIRDfit. These TIACs were then compared with TIAC estimates obtained using other software. In most cases, the TIACs agreed within approximately 10% between MIRDfit and the other software. MIRDfit has been endorsed by the MIRD Committee of the Society of Nuclear Medicine and Molecular Imaging and has been integrated into the MIRDsoft suite of free dosimetry software; it is available for download at no user cost (https://mirdsoft.org/).

BACKGROUND AND PURPOSE:

Intracranial vessel wall imaging is technically challenging to implement, given the simultaneous requirements of high spatial resolution, excellent blood and CSF signal suppression, and clinically acceptable gradient times. Herein, we present our preliminary findings on the evaluation of a deep learning–optimized sequence using T1-weighted imaging.

SUMMARY:

The ASNR Neuroradiology Division Chief Working Group's 2023 survey, with responses from 62 division chiefs, provides insights into turnaround times, faculty recruitment, moonlighting opportunities, and academic funds. In emergency cases, 61% aim for a turnaround time of less than 45–60 minutes, with two-thirds meeting this expectation more than 75% of the time. For inpatient CT and MR imaging scans, 54% achieve a turnaround time of 4–8 hours, with three-quarters meeting this expectation at least 50% of the time. Outpatient scans have an expected turnaround time of 24–48 hours, which is met in 50% of cases. Faculty recruitment strategies included 35% offering sign-on bonuses, with a median of $30,000. Additionally, 23% provided bonuses to fellows during fellowship to retain them in the practice upon completion of their fellowship. Internal moonlighting opportunities for faculty were offered by 70% of divisions, with a median pay of $250 per hour. The median annual academic fund for a full-time neuroradiology faculty member was $6000, typically excluding license fees but including American College of Radiology and American Board of Radiology membership, leaving $4000 for professional expenses. This survey calls for further dialogue on adapting and innovating academic institutions to meet evolving needs in neuroradiology.

The two robots, working alone and far apart from one another, are struggling on their respective treks along the Red Planet's rough terrain.

A rail service linking Scotland, Wales and England with one train journey is to start running for the first time. 

A baroque fiddle believed to have been played by Robert Burns will be performed live on stage in the United States for the first time.

Kelley graduates from Canada. Josh discovers Tactics Advance is an isekai. Meanwhile Chris calculates the skill check for suplexing a train.

The post RPG Cast – Episode 619: “That One Time I Got Reincarnated as a Canadian Yankee in King Arthur’s Court” appeared first on RPGamer.

Twitch have introduced a new "Politics and Sensitive Social Issues" label for streams that "focus" on topics like "elections, civic integrity, and war or military conflict". As with the streaming giant's existing labels for M-rated material, sexual themes or depictions of gambling, the idea is that viewers can filter out such streams in advance by altering their settings.

Advertisers, similarly, can "make better choices about the content they want to advertise next to" - in other words, pull their ads from a whole swathe of material if they don't want to be associated with anything controversial. Twitch's hope is that "the labels will allow advertisers to have more context to inform which types of streams they show their ads alongside, which we expect to increase brands’ confidence in running ads on Twitch, and could bring new advertisers to our service."

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GeForce Now, Nvidia’s PC-focused game streaming service, will begin calling time on its most muscular of power users. A post on the GFN subreddit announced the introduction of a 100-hour monthly cap (or "allowance"), effective from January 1st 2025 for anyone who signs up after that date. Existing streamists, or anyone who signs up by the end of 2024, will get a year’s grace period before the limit kicks in from January 2026.

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The Steam Deck OLED – which is like a Steam Deck but better in almost every way – is getting a new, if potentially more smudge-susceptible Limited Edition. A successor to the translucent version that only went on sale in the US and Canada last year, the Steam Deck OLED: Limited Edition White offers both a snowy look and, for those of us outside North America, the chance to actually buy one. It’ll go on sale November 18th, in all the countries that the Steam Deck currently ships in.

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Gas bubbles on the surface of a star have been observed for the first time in detail outside our solar system, and they are 75 times the size of our sun

If you were standing on Mars as it was hit by charged particles from the sun, you might be able to see an aurora just like on Earth

My first sight of Saturn through a telescope inspired my love of space. Dig out your telescopes or visit your local astronomy club, and you may be lucky enough to spot our sixth planet's stunning thick band of rings, says Leah Crane

Complex carbon-based molecules crucial to life on Earth originated somewhere in space, but we didn't know where. Now, huge amounts of them have been spotted in a huge, cold cloud of gas

Voyager 2 flew by Uranus in 1986, giving us our only up-close look at the planet – but unusual space weather just before the craft arrived has given us a misleading idea about the planet’s magnetic field

CAPTCHA tests are supposed to distinguish humans from bots, but an AI system mastered the problem after training on thousands of images of road scenes

Smart TVs from Samsung and LG monitor what you are watching even when you are using the screens to display a feed from a connected laptop or video game console

Next-generation phone networks could dramatically outperform current ones thanks to a new technique for transmitting multiple streams of data over a wide range of frequencies

Researchers have managed to encode enormous amounts of information, including images, into DNA at a rate hundreds of times faster than was previously possible

Black Ops 6 is here, and fans have been itching to know what's included in Season 1 - and now we have an answer. Here's what's included, and when you can play

PS5 owners can play some great games this month, including a Bethesda hit and more. Here's what's free for PS Plus subscribers for November, with more to be announced.

Overwatch 2 is bringing 6v6 gameplay back from Overwatch 1 - and fans are overjoyed. Here's all we know so far, including when you can finally play the Classic mode

Scientists are using machine learning to decode and eventually translate how sperm whales communicate with Morse code-like clicks and pauses.

After a dismal start, the UN is hosting a "halftime summit" about its 15-year plan to meet a series of human-development targets by 2030. Delegates will try to focus on problems like extreme poverty and gender equality while watching for sparks between the representatives of Ukraine and Russia.

… Trains for 1st Time inside Davis Cup Venue VALENCIA, Spain – World No … the Spanish national team’s Davis Cup quarterfinals against Germany. Nadal, who ….

A comet that has not been seen for more than 80,000 years is expected to be visible from Earth, potentially during two separate time periods in the next month.

The identification of a new hominin group called Denisovans was one of the most exciting discoveries in human evolution in the last decade.

The post Several Denisovan Populations Introgressed into Modern Humans Multiple Times: Study appeared first on Sci.News: Breaking Science News.

The first ever piece of the Antarctic amber was found in a sediment core from the mid-shelf section of Pine Island trough in Antarctica.

The post Amber Discovered in Antarctica for the First Time appeared first on Sci.News: Breaking Science News.

Medical clowns, who play with children in hospitals, may help them be discharged sooner by reducing their heart rates

A man from Eugene, Oregon, pleaded guilty to federal hate crimes on Tuesday after he spray-painted antisemitic graffiti on a synagogue in 2023 and 2024.

Authorities arrested a man accused of strangling a woman outside a Times Square hotel who later died from her injuries, police said Tuesday.

Finished chips coming in from the foundry are subject to a battery of tests. For those destined for critical systems in cars, those tests are particularly extensive and can add 5 to 10 percent to the cost of a chip. But do you really need to do every single test?

Engineers at NXP have developed a machine-learning algorithm that learns the patterns of test results and figures out the subset of tests that are really needed and those that they could safely do without. The NXP engineers described the process at the IEEE International Test Conference in San Diego last week.

NXP makes a wide variety of chips with complex circuitry and advanced chip-making technology, including inverters for EV motors, audio chips for consumer electronics, and key-fob transponders to secure your car. These chips are tested with different signals at different voltages and at different temperatures in a test process called continue-on-fail. In that process, chips are tested in groups and are all subjected to the complete battery, even if some parts fail some of the tests along the way.

Chips were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests.

“We have to ensure stringent quality requirements in the field, so we have to do a lot of testing,” says Mehul Shroff, an NXP Fellow who led the research. But with much of the actual production and packaging of chips outsourced to other companies, testing is one of the few knobs most chip companies can turn to control costs. “What we were trying to do here is come up with a way to reduce test cost in a way that was statistically rigorous and gave us good results without compromising field quality.”

A Test Recommender System

Shroff says the problem has certain similarities to the machine learning-based recommender systems used in e-commerce. “We took the concept from the retail world, where a data analyst can look at receipts and see what items people are buying together,” he says. “Instead of a transaction receipt, we have a unique part identifier and instead of the items that a consumer would purchase, we have a list of failing tests.”

The NXP algorithm then discovered which tests fail together. Of course, what’s at stake for whether a purchaser of bread will want to buy butter is quite different from whether a test of an automotive part at a particular temperature means other tests don’t need to be done. “We need to have 100 percent or near 100 percent certainty,” Shroff says. “We operate in a different space with respect to statistical rigor compared to the retail world, but it’s borrowing the same concept.”

As rigorous as the results are, Shroff says that they shouldn’t be relied upon on their own. You have to “make sure it makes sense from engineering perspective and that you can understand it in technical terms,” he says. “Only then, remove the test.”

Shroff and his colleagues analyzed data obtained from testing seven microcontrollers and applications processors built using advanced chipmaking processes. Depending on which chip was involved, they were subject to between 41 and 164 tests, and the algorithm was able to recommend removing 42 to 74 percent of those tests. Extending the analysis to data from other types of chips led to an even wider range of opportunities to trim testing.

The algorithm is a pilot project for now, and the NXP team is looking to expand it to a broader set of parts, reduce the computational overhead, and make it easier to use.

It's not the reach of a fire that matters most; it's the speed. Understanding this can help society better prepare.

Have you been on the lookout for ways to improve your trading game? You will come across a number of suggestions and tips, one of which is using sentiment analysis. It has become quite a hot topic in the trading space these days and for a good reason. In today’s fast-paced trading environment, staying ahead […]

The post Integrating Sentiment Analysis with AI Trading Bots: A New Frontier appeared first on Chart Attack.

"If we hold strong together, we will come through this."