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Why do we yawn? Discover your brain’s rinse cycle!
Investigate how a big yawn may help flush waste from your brain, and explore ways your body’s systems work together to keep you healthy.
Wipes Do Not Belong In Pipes
The City of McAllen is calling on residents to stop flushing wipes and other non-flushable items down the toilet. Products labeled “flushable” can still cause serious problems in the wastewater system, contributing to blockages, equipment damage and costly repairs that can be prevented with proper disposal.
Brighton Held 0-0 by Jablonec: Wasteful Seagulls Frustrated
Despite dominating possession in the Czech Republic, Fabian Hürzeler’s side lacked a clinical edge, relying on Bart Verbruggen’s heroics to escape a stubborn Jablonec defense with a draw.
Northeastern graduate makes eco-friendly flower arrangements that last
Mohlia’s preserved flowers last for years and cut floral waste. Founder Simran Mohinani says her Northeastern co-ops shaped how she leads.
Paul George Makes Celtics History With Record Breaking Debut
Paul George wasted little time making history with the Boston Celtics, delivering a spectacular performance in his first game with the franchise. Despite Boston suffering a 121-113 loss to the Detroit Pistons on Tuesday night, George gave Celtics fans plenty of reasons to be excited about what he could bring to the team this season.…
I On Politics
HUNDREDS ATTEND ADDABBO’S AUTUMN E-WASTE EVENT: State Senator Joseph P. Addabbo, Jr. hosted his free bi-annual electronic waste recycling event on October 4, 2026, at the Forest Park Bandshell Parking Lot. The Lower East Side Ecology Center collected electronic waste including new, outdated, and broken devices. A partnership with PaintCare allowed Addabbo’s Office to
Cruz Foam had a promising idea. Why couldn’t it make its sustainable packaging business work?
Cruz Foam's biodegradable packing material made from shrimp shells and food waste attracted wide attention and big-name investors, but the Santa Cruz-based company has closed up shop after what one former exec says were struggles to solve the full range of problems its customers needed packaging to address.
Judi Dench still hasn’t seen “Cats”, calls it a ‘waste’ of talent in new memoir: ‘I can’t bear it’
She confessed that she “didn’t feel right” in her role as Old Deuteronomy.
Rare-earth processing facility to be built at Eastman Business Park
Phoenix Tailings' operation would cull the material from mine waste and other industrial sources in an industrial warehouse complex in Greece.
Scene
In this week’s scene, we find this skeletal fellow who has found a garbage can of toxic waste recently spotted in front of a Winchester home.
Malia Cohen explains why she should be reelected State Controller
California State Controller Malia Cohen is seeking reelection for an office that is responsible for the state's checkbook at a time when voters across the nation are focused on waste, fraud and abuse of taxpayer money.
Banking on bricks: entrepreneur builds a business case for recycling plastic waste
Spirit of Hong Kong Awards finalist Shervin Sharghy left banking to build a business turning plastic waste into concrete paving and wall blocks.
Landmark China trial achieves 84% efficacy treating cancer with waste water tech
Nano-carbon iron injection halts tumour growth in 16 patients, induces shrinkage in two, with Phase II trial now under way with 52 others.
USA-HEALTH/FRAUD
U.S. Secretary of Health and Human Services Robert F. Kennedy Jr. speaks at a press conference announcing new actions aimed at combating fraud, waste and abuse across federal health programs
Battery-free smart glasses monitor your health using blink energy
Your eyes blink roughly 14 to 20 times a minute, and every one of those movements is wasted energy. Engineers at Northwestern University have found a way to put that motion energy to work, powering a pair of battery-free health-sensing glasses.
Cook review: You’re better off finding horror entertainment other than ‘Other Mommy’
A skilled cast is wasted on “Other Mommy,” a silly horror movie that stars Jessica Chastain in the story of a little girl haunted by an entity that looks like her mother. I expected bet…
Iowa's water quality and cancer rates forced into forefront of state politics
Chemical fertilizers and animal waste contain nitrates and phosphorus that can get washed with rain or snowmelt into the state’s rivers. That affects Iowa’s more liberal urban centers which rely on rivers and lakes for drinking water.
LA County students spearhead project to recycle sports balls
Another Bounce, a student-led initiative, was created in response to tennis ball and pickleball waste.
The barriers to realizing AI's promise in health care
Without intervention, AI is on track to make health care even more expensive and wasteful.
Recycling e-vapes, smartwatches could reduce Europe's dependence on foreign powers for critical minerals
Sales of fast tech like mini fans and disposable e-vapes, as well as wearable health tech such as heart monitors and smart watches are soaring. They're creating a new e-waste problem but are full of hidden treasure.
Biggest waste of money in your home gym may surprise you, fitness expert says
Fitness coach Jacob Zemer reveals the three home gym essentials — bands, dumbbells and a bench — that let you train every muscle group on a budget.
Wastewater release prompts health advisory for Eastern Lake in Santa Rosa Beach
Drinking water remains safe and is not affected by the advisory, according to the Florida Department of Health in Walton County (DOH-Walton).
Converting Waste to Black Gold
CALS student Joy Camenisch, a double major in animal science and agroecology, spent the summer in Spain, where she researched how composted manure can replace synthetic fertilizer.
Health advisory issued for Toms Bayou in Valparaiso following wastewater release
Officials emphasized that local drinking water is not affected.
Solanke saves wasteful Spurs
Dominic Solanke scores in stoppage time to salvage a draw for a wasteful 10-man Tottenham.
Government report calls for urgent immigration enforcement plans to stop wasting taxpayer money
A Government Accountability Office report says ICE's lack of planning while expanding detention and operations led to wasteful spending.
Milton business fined for oil spill into Lamoille River
A Milton business will have to pay the state a fine of $6,750 for a hazardous waste spill.
Ben Rice’s historic October is being wasted by the Yankees
Ben Rice hit two home runs Monday and still walked out of Tropicana Field with the Yankees one loss from […]
3 science-backed ways to help your brain clear out waste
If the brain’s plumbing doesn’t work properly, research shows, cellular garbage accumulates, and a cleaner brain may be a healthier one.
Did the Tigers Fail With Tarik Skubal?
Wasted postseason dominance and a painful blockbuster trade define the Tarik Skubal era. Explore whether Detroit squandered a generational ace or played their hand perfectly for the future.
Nuclear power and waste on Inside West Virginia Politics
CHARLESTON, W.Va. (WOWK) – On this week’s episode of Inside West Virginia Politics, our guests join Rick Johnson to discuss nuclear interest in West Virginia and the school aid formula. In Segment …
Budding food scrap businesses want your coffee grounds and eggshells
Composting leftover coffee grounds, eggshells and carrot tops is a way to reduce the amount of food waste that goes into landfills, where it produces the potent greenhouse gas methane
Gallery of Unearthing the Ground: Architecture and the Politics of Waste - 2
Image 2 of 15 from gallery of Unearthing the Ground: Architecture and the Politics of Waste. Fresh Kills Park. Image © USEPA Environmental-Protection-Agency - December 6, 2012 via Wikipedia under Public Domain
Gallery of Unearthing the Ground: Architecture and the Politics of Waste - 3
Image 3 of 15 from gallery of Unearthing the Ground: Architecture and the Politics of Waste. Alsergrund, Viena. Image © C.Stadler/Bwag, via Wikipedia under CC BY-SA 4.0
Gallery of Unearthing the Ground: Architecture and the Politics of Waste - 4
Image 4 of 15 from gallery of Unearthing the Ground: Architecture and the Politics of Waste. Agbogbloshie. Image © Muntaka Chasant, via Wikipedia under CC BY-SA 4.0
Gallery of Unearthing the Ground: Architecture and the Politics of Waste - 1
Image 1 of 15 from gallery of Unearthing the Ground: Architecture and the Politics of Waste. Incineration Line in Roskilde / Erick van Egeraat. Image © Tim Van de Velde
Gallery of Unearthing the Ground: Architecture and the Politics of Waste - 5
Image 5 of 15 from gallery of Unearthing the Ground: Architecture and the Politics of Waste. Fresh Kills Park. Image © erial View Courtesy of NYC Department of Parks and Recreation
Opinion | Opinion: What the Cornell Lawsuit Reveals About Sexual Violence in America
The columnist David French argues that “we have privileged getting wasted over taking care of people.”
Tiahrt: 30 years of healthcare reform in America
Hospital waste, fraud and abuse are taking center stage in the discussion about necessary healthcare reforms.
Red Wings Waste Anton Johansson’s Debut in Shutout Loss
Detroit was shut out 2-0 on opening night despite outshooting the Rangers. #RedWings
Scientists Discover a Genius Use For Leftover Steel Waste – And It Could Save Lives
Win-win-win.
Scientists Thought Mars’s North Polar Ice Was 25% Dust. They Were Way Off
Previous research pointed to copious amounts of dust atop the arctic Martian wasteland, but a clearer picture is coming into focus.
OhioHealth Earns Top Hazardous Waste Management Recognition
OhioHealth earns Clean Harbors’ Best-in-Class designation for its safe, compliant and consistent hazardous waste management practices across the system.
Time lost to political haggling means lost momentum for research
While it’s not up to universities to set deadlines for EU institutions, “lost time” in the run-up to the launch of the next Horizon Europe would translate into “lost momentum” for universities, according to Dag Rune Olsen, president of the Young European Research Universities Network.“I think it's important to have [the EU budget] in place in order to be able to work on the research funding mechanisms, because we cannot afford to lose more momentum than we already have,” Olsen told Science|Business in an interview in September, just after EU research lobbies gathered in Brussels to push for a €200 billion budget for the next Horizon Europe programme.A funding gap would mean ramping down research activities, said Olsen. “You can do that quite swiftly, that’s not a problem, but ramping up again is much more difficult.”The last-minute push for an ambitious budget, and for a timely adoption of the research programme, comes at a time when the richest EU states have teamed up to call for significant cuts to European Commission’s proposal for the next multiannual budget, which allocates €175 billion for Horizon Europe. At the same gathering of research associations in September, the European Parliament’s budget rapporteur warned that the EU will need to raise its own taxes, otherwise political pressure and tighter national budgets will translate into a limited EU budget with a less ambitious envelope for research. The research sector hopes EU institutions will reach timely agreement on the budget and on Horizon Europe, but progress has been slow. Legislative progress has been delayed, partly because the European Parliament’s budget committee is still haggling over how to apply new EU-wide spending rules, known as the Performance Framework Regulation, and partly because EU governments have yet to agree on the size of the next EU budget. EU research Commissioner Ekaterina Zaharieva told Science|Business in July that she was hoping for an agreement on Horizon Europe by the end of 2026, but the timelines have been pushed back significantly, with the Parliament now aiming to announce its official position on Horizon Europe only in November. Avoid the funding gapAccording to Olsen, delayed EU funds could prompt universities and researchers to move on and do something else, potentially jeopardising years of work building consortia and collaborations. “If funding is interrupted, the networks fall apart in just a few months,” he said. Olsen also noted that an interruption would affect junior researchers first. PhD students and postdocs are on shorter term contracts and universities risk losing them if funding for EU projects is interrupted. Related articlesEU own resources ‘essential’ for future research budget, says leading MEPParliament haggle over EU-wide spending rules delays vote on Horizon EuropeZaharieva hopes for a Horizon Europe deal in 2026Universities usually have more employees, permanent and short-term staff, than they can cover with national funding, and external funding is essential to keep them all on the payroll. In case of an EU funding gap, “there will be a huge number of people that might end up without any contracts,” he said. Apart from the money issue, Olsen said EU projects forces universities to collaborate more which, in turn, increases the quality of teaching and research. In case of a funding dip, people will look around for opportunities elsewhere, in the private sector or abroad. “And then then you have to recruit again, and it's a tedious business,” said Olsen. “A gap is not a good idea, it's actually a waste of money.”According to Olsen, the difficult political context should encourage universities to make a stronger case for the EU increasing research funding, as universities can deliver on competitiveness, technological sovereignty, security and defence. “The reason why we ask for substantial investments in research is exactly what the Commission, what Europe, the Parliament have been discussing,” he said. “You really need to invest in order to thrive in the longer run.”Focus on the member statesBut EU and national R&D expenditure hasn't kept up with the times. EU governments have failed to reach a spending target set almost 25 years ago. Only six EU countries spend 3% or more of their GDP on R&D. Asked whether universities should put more effort into convincing the governments to ramp up their own spending, but also to support a strong budget for Horizon Europe in the ongoing budget negotiations, Olsen said “the answer is yes.”“We are very actively encouraging our members to talk to their ministries in order to enlighten them about the joint effort,” he said. The network is made up of 25 universities from across Europe, all established in the past 60 years or so.Who will call the shots?Budget and timing issues aside, the Parliament’s research committee has been locked in behind-the-scenes negotiations over the future structure of Horizon Europe, with MEPs disagreeing on the degree to which its collaborative research should be governed by councils of experts.The European Parliament’s lead rapporteur on Horizon Europe wants councils of independent experts to decide on the funding agenda, but the Commission, the Council, and parts of the Parliament disagree. For Olsen, it is normal for politicians to point at the big challenges, but when they start detailing how those challenges should be solved, the endeavour “fails utterly.” He does not necessarily think that “bureaucrats who don’t know the field” would be “much better at it” either. “There has to be a combination” of broad political directions and bottom-up implementation, Olsen said.
Bethesda Maps Fallout 76’s Biggest Year Yet, Expanding the Map toward Fallout 3’s Capital Wasteland by Summer 2027
Bethesda has mapped out a truly exciting year of free updates for Fallout 76, including a new map expansion into the Capital Wasteland.
Armor expanding, plans to increase size of Arnold facility
Armor Equipment, an Arnold-based sewer, street and waste management equipment company, on Sept. 1 bought the Dakota Truck Co. in Lakeville, Minn., allowing the business to expand its reach to Missouri, Kansas, Nebraska, Iowa, Illinois, Minnesota, Wisconsin, North Dakota and South Dakota.
Luka Doncic Offers Massive Compliment To Stephen Curry
The questions on NBA media day often force superstars to show respect to others around the league. Luka Doncic received a question at the Los Angeles Lakers media day event about the toughest players to guard in the league. The Lakers superstar wasted no time and had Stephen Curry ready as his answer before the […] The post Luka Doncic Offers Massive Compliment To Stephen Curry appeared first on HEAVY.
Office of Personnel Management uncovers $500M in fraud and waste in federal health benefits programs
The Trump administration's Office of Personnel Management uncovered $510 million in fraud and waste across federal employee health benefits programs.
Frederick County business wants to turn plastic waste into filament for 3D printers
Primo3D is collecting 50 pounds of waste plastic from Meredith's Good Luck Tavern to test their prototype waste-to-filament machine. Founder Drew Primo hopes to scale up the process and give residents a place - other than the recycling bin - to put their plastic.
Waséyabek prepares 100 acres for development at Holland industrial complex
BLDI and Priority Waste have filled the last remaining space in Waséyabek's Holland industrial property as surrounding land is prepared for development.
Trump drops plan to detain immigrants at New Jersey military baseNJ Spotlight News
Investigative arm of Congress finds millions of dollars wasted on abandoned effort to turn other properties into holding areas
What If the Coffee Grounds We Throw Away Could Help Insulate Our Homes?
The grounds left behind from your daily cup of coffee could one day help insulate buildings. Scientists transformed spent coffee grounds into biodegradable biochar insulation that performs about as well as commercial foam. The material could give mountains of coffee waste a useful second life while helping reduce energy use. Now, researchers are working to determine how well it holds up over time.
Montana State students receive prestigious National Environmental Public Health internships
The students will complete projects involving tick-borne illness in Massachusetts and wastewater system mapping in Utah.
Scientists develop solar tech that turns seawater to clean water
What if turning ocean water into fresh drinking water didn’t require massive amounts of energy or leave behind a trail of toxic environmental waste? Well, researchers at the University of Rochester’s Institute of Optics recently achieved this with a monumental breakthrough. The groundbreaking discovery While traditional desalination plants rely on high-energy heat or heavy pressure […] Read the original article here: Scientists develop solar tech that turns seawater to clean water
Harbor cleanup removes a health and safety hazard at Hwy 101
GOLD BEACH, OR — Trash and human waste that had been building up for months near the intersection of Highway 101 and Sunshine Cove Lane in Harbor has been cleaned
Hawaiʻi Green Business Awards Program honors local businesses and events for sustainability practices
The Hawai‘i Green Business Program (HGBP) recognized 51 Hawai‘i businesses and events Wednesday night for their commitment to energy and water efficiency, waste reduction, pollution prevention and community involvement, as well as cultural and natural resource preservation.
Unused tents and uneaten food: Watchdog finds ‘waste’ in immigration crackdown
In a report Thursday, the Government Accountability Office said the Trump administration squandered millions of dollars to expand detention.
Five more Apex-tied businesses found at non-operational building
Apex Waste Management LLC registered less than a year before federal raid
Saints sign veteran long snapper Cal Adomitis
With Scott Daly headed to Chicago, New Orleans wasted no time addressing its long snapper position
Planning board defers David’s Burgers meat plant pending wastewater, health approvals
Wasteful Arsenal need late penalty to beat Koge
Mariona Caldentey scores from the spot in stoppage time to snatch victory for Arsenal against HB Koge in the Women's Champions League.
In 2022, scientists unveiled a wind-turbine material that could be recycled into gummy-bear ingredients. Four years later, where did the idea go?
A viral scientific breakthrough promised to solve wind energy's waste problem—but the gummy bears were never the real goal, and the hype outpaced what the lab could actually deliver.
Girls organise science research programme to grow interest in STEM among S’pore female students
SINGAPORE – From finding out about the effects of food-waste antioxidants on repeatedly heated hawker-centre cooking oil, to observing the routine of otters in Singapore, 66 girls put their research s...
Dealroom.co | Open science platform ODC-SCI lands $3M to fight research waste
What's the deal? The Open Data Commons for Spinal Cord Injury (O…
A new process turns plastic waste into gasoline and diesel fuel
Scientists at Oak Ridge National Laboratory have developed a surprisingly simple way to turn polyethylene, the common plastic used in shopping bags and cutting boards, into gasoline and diesel-like fuels. The process uses inexpensive aluminum-based molten salts to break long plastic molecules into smaller hydrocarbons, producing about 60% gasoline under relatively mild conditions.
Can scientists breed the perfect strawberry?
Why do many strawberries taste less flavorful today, and can scientists bring back their aroma? We explore the quest for the perfect strawberry, along with new ways to cut food waste and create more sustainable foods.
FUJIFILM Business Innovation Singapore recognised for circular economy and waste management practices
/PRNewswire/ -- FUJIFILM Business Innovation Singapore has received the Circular Economy Award – Singapore and Waste Management Award – Singapore at the...
Florida Stuns Auburn in Wild SEC Showdown
The Florida Gators are officially 3-0. Florida traveled to Jordan-Hare Stadium on Saturday night and defeated Auburn 44-39 in a wild SEC opener, giving first-year head coach Jon Sumrall his first conference victory with the Gators. Gators Jump Out Early Florida wasted no time making its presence felt. The Gators took a 7-3 lead in…
Georgia Rolls Past Arkansas in Dominant SEC Opener
No. 2 Georgia wasted no time showing that it is ready for another run through the SEC. The Bulldogs traveled to Fayetteville on Saturday and dominated Arkansas from the opening whistle, cruising to a 45-17 victory in their first conference game of the season. Georgia improved to 3-0 overall and 1-0 in SEC play with…
Wastewater spill near Boca Raton Resort prompts no-swim advisory
A wastewater spill near the Boca Raton Resort has prompted a health alert and no-swim advisory for waterways in the area, health officials said.
Warhammer 40k: Auspex Scanning the New Space Marine Models
The drop pod assault has begun, and we have a close-up look at the new Angels of Death. Codex: Space Marines is up for pre-order alongside some much-needed reinforcements for Space Marine players everywhere. Games Workshop sent us a selection of these new kits, and we wasted no time in getting them built! Captain on […]
Scientists Sent a Robot 3 Miles Below the Ocean—What It Found Is a Warning
The growing level of pollution in our oceans is troubling, but researchers have revealed just how deep the plastic waste reaches.
Scientists sent a robot 3 miles below the ocean—what it found is a warning
The growing level of pollution in our oceans is troubling, but researchers have revealed just how deep the plastic waste reaches.
The Big Holes in Wearable Heart Rate Variability And Readiness Scores
On September 9th, Apple announced it was revamping its Apple Watch Health Sensing System, rolling out a Readiness score (0 to 10), and increasing the frequency of heart rate variability (HRV) outputs 24-fold. This can be viewed as upping its competition with various other consumer wearable sensors. These “readiness scores” as a composite of multiple metrics, with heart rate variability (HRV) being front and center for most. The majority of Americans are now using wearable sensors, which equates to well over 100 million adults. HRV and Readiness scores are increasingly being marketed as a measurement of autonomic nervous system health, a digital marker for future disease, a clock for biological age, and a holistic metric to promote healthspan and even longevity. (Apple also introduced a new longevity tab and “Health Age”.) None of this has been proven. In this edition of Ground Truths I am going to review what we know about heart rate variability and readiness scores. Heart Rate Variability HRV is the variation in normal heart cycle timing. The variability of the heart rate, the barely perceptible millisecond changes in time between consecutive heart beats (see R-R intervals in the Figure below, left panel), is due to interplay between the sympathetic and parasympathetic (vagal nerve) inputs. Distinct from heart rate, individuals with the same heart rate can have very different HRVs. It is a rough reflection of the autonomic nervous system (ANS) activity, inadequate to say whether a person’s ANS function is abnormal. For more than three decades, heart rate variability (HRV) has been measured and several studies have found an association of low HRV and clinical outcomes, particularly a link with higher all-cause and cardiovascular mortality. There have also been less well established links of low HRV to risk of early cognitive impairment, dementia, mental illness, Type 2 diabetes and substance abuse. An important reminder is that HRV is a surrogate marker without any established cause-and-effect relationship. If you increase your HRV, that doesn’t mean it will improve health outcomes. In fact, there is no hard evidence for that. All that work linking to health outcomes was done with electrocardiogram (ECG) derived HRV. Now, in the era of consumer wearables, this is getting assessed differently, by optical pulse (yes, the lights you see) plethysmography (PPG) or what is called pulse rate variability (PRV). They are not the same, as shown below (right panel) and only concordant when the delay between the ECG and pulse is kept constant, which basically means at rest. I should mention there’s also what I will call MPV, a mattress mechanical movement sensor, a derived heart rate variability, that companies like Eight Sleep use, even further away from directly measuring HRV. HRV has not one uniform measurement but many different types of quantification, such as RMSSD, the magnitude of difference between successive R-R intervals of normal sinus beats (N-N) or SDNN, the standard deviation of NN intervals, both in milliseconds. SDNN is one of the so-called frequency domain HRVs (others are LF, HF, LF/HF). Different wearable sensors use different metics; Apple has relied on SDNN and nearly all of the others use RMSSD, which is generally considered the more accurate metric. There’s also the different length of time measured, such as for a matter of minutes, all day, or an overnight’s sleep. Short measurements are especially problematic since they don’t capture enough of respiratory modulation and other factors that influence HRV. Share Ground Truths How well does HRV correlate with PRV? There are very limited studies, especially independently done. One that is commonly cited was conducted by Air Force researchers in only 13 healthy adults assessing Oura ring 3 and 4, Whoop 4.0, and Garmin Fenix 6 and showed a correlation coefficient of 0.88 to 0.97 and a mean absolute percentage error from 6 to 10%. The correlation is not a perfect 1.0, but there’s at least a fairly high level of correlation. HRV is supposed to increase during the night due to takeover of the parasympathetic nervous system, and higher during deep sleep. A recent example of my 1 week, all day “HRV,” and one during sleep is shown below. As you can see, the N of 1 data are inconsistent for the same days from different sensors (Oura, AppleWatch, Fitbit Air, and Eight Sleep) by patterns, absolute numbers, and comparison with prior days and weeks. The largest study in over 8 million Fitbit users (the old version, not Google Fitbit Air, introduced in May 2026) gives you a sense of the effect of age, sex, and the 2 different main HRV (here PRV) metrics, with RMSSD on the left and SDRR (=SDNN) on the right below. That study, from data collected in 2018, is a major outlier, since all the more recent ones are tiny with respect to sample size. Many of the companies have not had independent evaluation of their HRV, such as Eight Sleep, but have published a low standard error on their website. There are some other published studies on the correlation between HRV and PRV, but they are all small and only in healthy adults. A scoping review emphasized the lack of study in underrepresented individuals, including the aged, people of color (which affects the PPG signal), and individuals who are underweight or obese. Add the typical adult age 60 plus with one or more chronic diseases. For example, one study in over 900 adults found poor correlation of HRV and PRV, non-uniformly underestimated across many chronic diseases (cardiovascular, endocrine, neurological, respiratory, and others), concluding PRV is “an invalid surrogate for HRV.” A recent systematic review of 43 studies comparing HRV and PRV found reasonable pooled absolute standardized error (HRV as gold standard) but only 10 of the studies provided quantitative synthesis in ideal conditions. Their main conclusion was similarly cautious: “PPG-derived HRV [PRV] should not be regarded as universally interchangeable with ECG-derived HRV across all devices, populations, and recording contexts.” Factors Affecting HRV and PRV That gets me to the long list of factors that affect HRV (and PRV) besides the device, the type of measurement (RMSSD, SDNN or others), the person’s signal, the sensor site, the duration of data capture, if weighting by sleep stage is used, how artifact is processed and corrected. And this list is not complete!: Oura puts out data from their community of users (who input data) on what affects their overnight HRV. The factors currently provided are: no alcohol (increase 8%), melatonin (increase 2%, float tank (increase 2%), wine (decrease 4%), and party (decrease 14%) in overnight HRV. Must be some big parties! Subscribe What is a PRV measurement good for? It has been falsely characterized as an index of “autonomic balance” and a specific indicator of stress. A 2018 review of the studies available for HRV and its relationship to stress, not using any of the current wearables, found that stress can lower HRV. But so can many other factors. The non-specificity of the signal, indexed to the table above, is striking. Evidence from a UK Biobank study of over 46,000 participants with actual HRV looked at genetically predicted HRV, a genetic risk score, that failed to show the expected HRV-mortality link, indicating that _HRV is likely not causa_l, but rather a reflection of person’s physiologic state. A review of consumer wearable HRV data from 5 longitudinal studies showed that nighttime PRV was not associated with perceived stress, and surprisingly higher HRV, in the largest cohort (N=717 participants), was correlated with higher stress. An Oura ring cohort of 525 first-year college students found a link between overnight PRV and perceived stress, but that was also seen with resting heart rate, sleep, and respiratory rate. Several very small studies have examined the relationship of HRV and athletic injuries or guiding training with mixed, and predominantly negative results. HRV biofeedback training with paced breathing had no significant effect on reducing stress or raising HRV, as demonstrated with sham controlled trials. When HRV for multiple days showed a decline in conjunction with body temperature, the Oura ring published data for prediction of Covid. The WHOOP company sponsored an observational study, published in 2026, of 30,000 users for 72 weeks, without a control group, that reported reduced alcohol intake (5.8 % points) by self-report. That doesn’t tell us much, and particularly about the merits of HRV for behavioral change. If you use the same device and conditions as longitudinal trends for multiple (at least 2-3) weeks that may be the one way to get something useful from the measurements. Data for overnight sleep with minimal motion and using RMSSD is the best proxy for real HRV. The reason to look at trends rather than any given night is that it more likely represents something, even though you won’t know with certainty what the “it” is. Keep in mind there are no data, no peer-reviewed evidence, to show that HRV fluctuation in-person has any correlation with health outcomes. Share Readiness Scores These are proprietary scores that integrate different metrics for each of the wearables: no algorithms have been disclosed. They are unvalidated against health outcomes. In a review of 14 composite health scores of readiness and recovery, HRV contributed 86% to the scores, followed by reading heart rate (79%), physical activity and sleep duration (both at 71%). That review noted the substantial variability in measurement protools and lack of standardization. Sleep staging is notoriously inconsistent and inaccurate by these sensors, which adds further to the HRV uncertainties for what the scores, which use sleep stage data, mean. Only resting heart rate has been shown consistently across devices to be extremely accurate. I’ve made a Table to summarize what we know about which metrics are included, the scores, any peer-reviewed studies that compared the readiness score with health outcomes, and the corresponding (if any, NA-not available) citation. You will note that some companies do not use the term “readiness," such as WHOOP for recovery, and Garmin, which has 2 different scores, one of which is Body Battery. Eight Sleep uses the term “Fitness Score.” They all include HRV; Apple includes a new metric they call “Recovery HRV” which among other components uses 7-days of sleep, but it is unclear what this means or how it is differentiated from other scores (there are clearly no data for outcomes). We have no knowledge of how the different components are weighted or whether any of these scores are better than resting heart rate, HRV alone, physical activity, or any other single metric. Since none of these are standardized, they are not interchangeable, so if you get a 90 for Oura that has no relationship to a 90 on a Google Fitbit Air. Notably, the company can update its algorithm for readiness score at any point without notification to device users. Without any useful evidence of actionability for these scores or established relationship with health outcomes, it is hard to make a case for their value. At the Apple recent announcement they showed their Readiness score (0-10) on the watch (Figure below) but there are no published data on this score, not even on their website. It’s available only on their new Watch Series 12 or Ultra 4 [of course, ;-)]. That exemplifies the problems with these scores, lack of data and evidence for being meaningful to promote health. Perhaps the best study (which isn’t saying much) is the WHOOP Recovery for golfer performance, because it did correlate with an objective outcome, even though there was no control group and the authors were all from the company. Among the 389 pro golfers, an absolute 10-per cent point increase in Recovery score was associated with about 0.5 fewer strokes per round. But that’s hardly a health outcome! WHOOP is also conducting a study in over 2,700 runners to see if their recovery score will be linked to less injuries and improved performance, but that is not yet published and has no control group or randomization. Putting This in Context For two decades I’ve been enthusiastic about the potential for digital health and particularly wearable biosensors. Over the years, we’ve seen some great progress for their ability to promote physical activity and accurately detect atrial fibrillation (the first FDA cleared deep learning AI for consumers). That work was the subject of rigorous research. But there are holes in the data and evidence for other metrics. One notable one is the “VO2 max” story that I wrote about earlier this year. At that time many subscribers asked me to cover heart rate variability, which I finally got to here. When I dived into the research and publication for HRV and readiness scores, I expected to find at least some that were of high quality and demonstrated their utility by linkage to health outcomes. To my surprise, I found none. The wearable sensor measurements for HRV (PRV) are, for the most part, accurate, but that validation work has only been done in small studies of healthy adults and does not take into account the long list of factors, from the device, software side, and the user side, that affect HRV measurements. Moreover, this metric chiefly relies on optical sensing and, as we have learned for heart rate PPG sensing, may be less accurate in people of color. Keep in mind that all of the health outcome association evidence comes from ECG-derived HRV; none are from wearable sensor data. I will repeat the key point: there's no peer-reviewed evidence to show that in-person HRV fluctuation—or efforts to raise your HRV— has any correlation with health outcomes. For those of you who look at your HRV on awakening, or even 2+ week trends of it being low, I hope this context helps to relieve any anxiety. Yes, low HRV (not PRV) has been shown to increase risk of some diseases as summarized above. But efforts to raise your HRV—a surrogate metric— has not been established for improving any health outcomes. HRV does not have any evidence of causality (the genetic evidence actually goes against this possibility). In this summary, I have not included data for other wearable sensors such as Polar, Samsung, Withings, Suunto, Amazfit, Coros, Ultrahuman, or additional mattress sensors. These are beyond my first-hand experience, and as far as I know from my in-depth review none have any peer-reviewed published data that differ from the 6 sensors I’ve reviewed here. From the points I’ve gone over above, we’re not ready for readiness scores. Besides being proprietary, they are predominantly based on metrics that have their own issues. It’s compounding the problem, like building a house without a solid foundation that has never undergone a rigorous inspection, and then selling it. Like I mentioned for PRV, you can look at trends over weeks rather than any single day, to get a handle, but even that may not be helpful. There’s simply no evidence that these scores meaningfully relate to health outcomes. I’d emphasize they might, but that requires doing prospective or randomized studies to prove it. None exist. There’s great promise for HRV/PRV utility_. For example**,**_ Prof Maiken Nedergaard, who discovered the brain glymphatics that are essential in eliminating metabolic waste products from the brain during sleep, has posited that HRV could be a non-invasive marker for neuromodulator oscillations, brain-body regulatory circuits, and brain clearance. That would be extremely useful, but like everything else on HRV and readiness scores it requires solid research and validation. The lay media isn’t helping much to get the story straight. Earlier this year The Economist published a piece entitled “The most useful indicator of your overall health” which ordained HRV as an “accumulated stress score.” That’s akin to the false assertion about VO2max: “V02 max is the singular most powerful marker for longevity.” As I’ve summarized here, that is not established. The fact is that so many things can lower HRV, including physical exercise (especially an intense workout), reduced sleep quality, stress, the list above, no less the device, signal, and software. Whatever fluctuations observed have not been correlated with any health outcome. Sadly, “datamaxxers” are widely using HRV and readiness scores that have never been validated to mean anything. We already know that for some people using the sensors for sleep metrics, it can induce “orthosomnia,” an obsession to get high sleep quality, with associated high levels of anxiety. In an experiment done by a company to promote sleep quality for its employees, “For those employees who did use the trackers, many reported feeling perfectly rested until their tracker told them they had had a terrible night. Others were told that they had slept like a baby when they had actually been lying awake worrying about the quality of their sleep. “ The same problem can result from preoccupation with HRV or readiness scores, with anxiety that would lead to further reduction in both. It you are using a wearable like >100 million American adults, it’s OK to look at these data, but contextualized with the major caveats reviewed here. If you are one to require evidence that HRV or readiness scores are linked to health outcomes, you may not even want to look. The companies make it hard to turn them off! Let me end with the companies that make and sell wearables. Apple’s doubling down on HRV (24-fold more reporting and heart rate very 5 seconds) and introduction of a Readiness score tells us that consumers have bought into these metrics and they are joining the club. However, all of this is occurring with a backdrop of tens millions of users, claims about the data that are not backed up by adequate evidence, marketing way out in front of whatever limited data exists, and not being transparent about their readiness score algorithms. The companies can well afford to do the research that is needed to connect these metrics with health outcomes show, once and for all, that increasing HRV or using readiness scores promotes our health. If they believed and invested in the products they are selling, we’d not be in this position of not knowing. That’s essentially where we are with HRV and readiness scores. Perhaps someday this will change and we’ll have good reason to embrace them. NB: I wrote this post. No AI. I have no conflicts of interest with any of its content. Loading... Ground Truths has 215,000 subscribers from every US state and 214 countries. There are over 300,000 followers of Ground Truths so more than 90,000 folks who can easily convert to be free subscribers. Your subscription to these free essays and podcasts makes my work in putting them together worthwhile. If you’re not a subscriber, please join! If you found this interesting PLEASE share it! Share Ground Truths The proceeds from all voluntary paid subscriptions go to support our summer internship program. It enabled us to accept and support a record number of 62 summer interns that joined us in 2026! These are high school, college and medical students selected from thousands of applicants. We couldn’t do this expanded program without the funds coming in through Ground Truths. Thank you!
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Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
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