Thank you very much for being here to listen to all this information about the CLSA. My role in the CLSA, as Praminder mentioned, is that I'm the site principal investigator at the Ottawa site, and I'm also the lead for the psychological health working group, which includes the cognitive data. So that is what I will be talking to you about here today. I'll talk to you a bit about what the cognitive data even are, and give you a couple of examples of some of the work that's been published using these data, and then go on to talk to you a about the follow-up studies, what the current research that we're engaging in, or analyses of the data. So I'd like to thank everyone for their, we received, I received many questions about the cognitive data. The majority of the questions relating to people had a lot of questions about cognitive impairment and dementia, and concerns about their memory and cognitive functions. So I will do my best to answer those questions for you as I go through the presentation. So let's start, let me just, let's start by just telling you what I mean by the cognitive data. So I'm sure that those of you who are participants are very familiar with the, with these tests that I'm going to talk to you about quickly. So everyone, there's a subset of tests that everybody in the CLSA does, irrespective of whether you're in the tracking or the comprehensive cohort. And then we have some tests that we do only with the comprehensive cohort, just because we need people to be present with there are some that have materials that we, we need to do in person and do over the telephone. So everybody does the animal fluency test you'll remember this one where you are asked to name all the animals that you can think of in one minute. And in the comprehensive cohort we also do that test but using letters so to name all the items that you can think of in one minute with starting with a given letter. Everyone does the mental alternation test so that's the one where you're switching between numbers and letters one a to be etc. So those tests are assessing what we call your executive function so these, this is sort of like your, your brain's control center that you are managing your resources and paying attention and so on. So, also for executive function people in the comprehensive cohort do a task called the stroke task. So that is the one where you're asked to name. colors and you see color words and then you see color words printed in a different color ink and you have to name the color of the ink so this is testing the ability to inhibit irrelevant information and and name the color of the ink rather than reading the word. So we also so that's executive function we also have some tasks looking at memory function. So in both both cohorts people do the auditory verbal learning test where you're given a word list you're asked to remember it immediately and then at a five minute delay. And also the prospect of memory test so this is testing your ability to remember to remember. So, in real life that looks something like oh I need to remember that I have to buy some milk on my way home from work or something along those lines so in the way that we do the CLSA is by looking at whether so that's the test where you have to remember at some point during the testing session to take the money out of the envelope and give it to the examiner. And you, you are either asked to do it at a certain time or with a cube. And then finally we measure processing speed so that's the one with the computer screen where you're pressing your responding to items and we're looking at how quickly you're able to do that. So these are the cognitive data that we collect and we also ask people so since follow up one we started asking people questions about their self perceived memory function. So those are questions like, have you noticed any changes in your memory. Are you worried about those changes, and I'll talk a little bit about about that some work we've done using those data in a few slides. I'll do some examples now I'll first I'd like to say why we collect these data so I know people don't I hear that people don't like cognitive testing I've done lots of cognitive testing myself and I also don't like it so I certainly understand that and very much appreciate the efforts to do these tasks that they do not do not enjoy doing so why do we do this well first that allows us to track changes in people's cognitive function over time. And we can look at the, the effects of different events or different health conditions on cognitive performance. So I'll give you an example of that in a moment. There are five factors that might help people maintain cognitive function, and we can also track the progress of people who are worried if they're losing memory function, even if their memory testing is normal so there is. There are people who will report yes my memory. I feel like my memory is declining. And then when we look at their memory performance. Actually, they are, they look fine so this is a really interesting question of what does that mean for somebody to have the self reported concern about their memory or cognitive function in the in the context of normal cognitive performance. So, I'm going to highlight now a couple of there's many studies using the cognitive data I certainly don't have time to talk about all of them. I wanted to highlight a couple of studies that have been done using these data so this one that I'm going to talk about now about traumatic brain injury is some work done by my former PhD student Mark Bedard so he he based his PhD work on brain injury data, and he was interested in traumatic brain injury and cognition. So traumatic brain injury is when somebody suffers a head injury that result in injury to the brain and often people will refer to a concussion which is a TBI. So, in CLSA we asked people if they have experienced TBI is in the past. And what he wanted to do was look at performance and cognitive testing and people who've had a head injury, both initially and then after three years so in his thesis he was familiar from the, from baseline and from follow up one. And so, some people who experience a TBI experience also loss of consciousness. Some do not so he was also looking at that as a factor to assess the severity of the TBI. So he wanted to look at their cognitive performance and he was also interested in the role of social support as a predictor of preserve cognitive function so there have been some studies suggesting that social support is very valuable in terms of preserving cognitive function. It's quite unique to be able to do this kind of study with such a large group of participants and see if social support can help people maintain their cognitive function in the face of a challenge like a TBI. So, what he found was that people with a previous TBI at some point in the past, who had experienced a loss of consciousness with that TBI had lower cognitive performance and greater cognitive decline. And this is even years after the TBI so within CLSA we ask about lifetime traumatic brain injury it doesn't have to be recent. So, this is as expected the brain injury will have impacts on people's cognitive function. What was really exciting about this, his findings was that when he asked people about their perceived social support that it suggests that he found that perceived social support can help buffer against this cognitive decline so what that means is, if somebody reports that they have high levels of social support, they show less decline over the course of these three years compared to people reporting lower levels of social support and this is there's different types of social support so CLSA asks about different, different subsets of social support. And what he found was that specifically or particularly emotional support seemed to help buffer against cognitive decline. This is really exciting because it suggests avenues for helping people preserve their cognitive function, even in the face of challenges like a traumatic brain injury. So, and I mentioned previously, subjective cognitive status so we know that there are some people that report that they're worried about changes in their memory or cognition, even though their performance on cognitive tasks is normal. And we'll notice and we ask if you've noticed changes, and we also ask if you're worried about them so a lot of people that over 50% of people report that they have noticed changes which is understandable I would say that I feel like I've noticed changes in my cognitive function in the past few years my memory is not as high as it was when I was 25, but critically we also ask people if they are concerned about about those changes so when we're talking about people who have what we call subjective cognitive what we mean is people who say they are concerned they say their their memory has changed they say that they're concerned about it, and then when we test them their performance on cognitive tasks is normal. So of course people whose cognition is declining or who have cognitive impairment also often report that they're concerned about about their cognitive about their memory performance but here we're focusing on the people who don't show any signs of cognitive impairment. So, a critical question in research is what does this mean is it that the person is starting to decline, but the changes are too subtle, and are not detectable yet with with neuro psychological testing, or it could be that the person is fine and they're just experiencing anxiety or concerns, but so this we would call that the worried well. And so, typically when you look at people with subjective cognitive decline. There's a subset who are the worried well, and there's a subset who are what we would say in a stage where the patient knows but the doctor doesn't know yet that there's something wrong. So, we, one of the major goals and research is to figure out who of those people are on a trajectory to start experiencing cognitive impairment and who are not. We've started asking people as I said, in the second wave of data collection about their self perceived cognitive function so we can start to answer these questions. So, this is another more work done by a PhD student here at who was here at University of Ottawa at the time she was doing this work. And the question was that she was trying to identify the bio cycle social factors that predict these concerns about cognition. So, why do we want to do this well understanding the factors that predict concerns about cognition could help us design interventions to assist people with these with these concerns. What she found was that physical factors surprisingly physical factors such as low levels of physical activity, hypertension problems with vision did not predict concerns about cognition, but really what was driving these effects were as cycle, psycho social variables. So depression perceived perceived support and personality traits so for example people who are more extroverted are less likely to have concerns people who are more emotionally stable or less likely to have concerns, people who are very conscientious this is again, the risk of concerns. So, why, why is this important well when we when you're thinking about conceptualizing subjective cognitive concerns, it is really important to consider psychological and social factors so this can be relevant both in terms of building theory about what it means to have a CD or subjective cognitive decline, and also from a kind of clinical perspective when you're assessing someone determining how to how to think about their self reported memory concerns. So, what we're doing now is I, we're trying to identify factors that influence the risk of subsequent decline and people with these subjective cognitive concerns, and also examining factors like perhaps social support that might protect against cognitive decline so this really actually addresses a lot of the questions that I received about what is it that we can do to help us I'm concerned people say I'm concerned about my memory. Is there anything I can do to prevent myself from or reduce my risk of developing cognitive impairment so these are some of the questions that we're trying to answer now. We were, we were limited in our ability to really study dementia in the early years of CLSA because people at baseline when they entered the study everybody was cognitively intact so what that means is that as the study progresses, we are going to see some of our participants developing cognitive impairment and dementia and now really is when we're starting to be able to do more research looking at that population. So, there's this just a couple a little flavor of some of the work that's been done so far with the the cognitive measures. And we have lots of other at ongoing work so in collaboration with my colleague Megan O'Connell at the University of Saskatoon. She's developed a method to detect changes in cognition using the CLSA battery so she's developed something that we refer to as the cognitive impairment indicator, which uses the scores that we have available from the cognitive testing to identify people who might be at risk of having cognitive impairment. So this is important because you know, sometimes somebody will get a low score you can interpret a single low score as indicating cognitive impairment so I'm sure you all know this from having done. Lots of lots of cognitive testing sometimes you just, there's a test that you don't do well on for, for whatever reason maybe you're distracted or your brain kind of freezes and you don't for example produce very many items when you're asked to name all the animals that you can. And actually, all the other neuropsych scores or the cognitive scores look fine so this is what we would call a spurious low score. So using this cognitive impairment indicator allows, allows us not only to identify cognitive impairment within CLSA but also identify baseline like how many people show these types of spurious scores which can be very helpful for for clinicians when they're when they're working with clients in the clinic. And we can also use so a recent study that was just published. What was looking at shift work as so this is using this cognitive impairment indicator and identified that shift work is a risk factor for people exhibiting or being at risk for cognitive impairment so this is. There's a lot of huge possibilities of all of the factors that we can consider as potential risks for cognitive impairment and this work is is just beginning so this is a paper that came out in just in 2023, showing risks of shift work which of course disrupts sleep and circadian rhythm so it's not good for cognition. Another really important piece of work that we've done as part of the cognitive group with Megan and others is developing norms based on this very large sample so what do I mean by norms well this is where. When you are seeing a clinician and they do cognitive testing on you they need to know what a normal score would look like or what they would expect your score to look like, based on factors like age, education level, sex, and so on so we they will use norms to do that to determine if somebody looks like they're outside of normal limits on performance on a cognitive test, but oftentimes that the number of participants used to develop these norms is a little bit low so. This, the CLSA provides a really exciting opportunity to develop very robust norms based on this very large sample and so this is because we know that cognition is expected to change as we age there are some areas of cognition where you'll see changes to normal aging. So we're trying to determine when people's cognitive performance changes, if this is normal aging or if there's a cause for concern. And excitingly the norms are available in both English and French because many people complete their, their CLSA visits in French so this is really useful for clinicians across Canada. We are also looking to identify markers of cognitive decline and this will in the future will allow us to identify risk and protective factors for dementia. And we're also doing work so Tina mentioned the international nature of work with CLSA so we recently published harmonizing so there are lots of studies in other countries with large scale studies with older adults and we harmonized across those studies to determine the optimal way to ask people so this was related to the questions on subjective cognitive status to identify the optimal way to ask people about their cognitive function so because there's lots of different ways that you can do this. Like you, how's your function compared to other people your age compared to yourself 10 years ago, are you concerned about it, etc. So we've been able to use all of these data sets to to combine and figure out how those questions should best be posed. So, in conclusion, the cognitive data, crucial component of the CLSA we're so grateful that you complete these tests. They allow us to understand the factors, driving cognitive health throughout the lifespan. This can help us assist people in maintaining cognitive health and also identify people who are at risk of cognitive decline. And our ultimate goal is to lead to better quality of life for Canadians and others as well, of course. So, that's my final slides. Thank you very much for your participation and also for coming here today.


When the female narcissist gets older, there are differences between the female and male narcissist, especially as they start to age. Aging female narcissists come in all shapes and sizes and from all walks of life, but they all share one thing in common. They all think that they're better than most people. They think that they are superior. The more that they are enabled by the people around them, the more overt they become. The more entitled they feel. The older female narcissists get, the more masculine they become. The more aggressive and meaner they become. They become hungry for money and power. They become very bitter and resentful towards men. They see men as objects for them to exploit so that they can gain a benefit or advantage. They expect men to be these weak fools that they can control. The older the female narcissist becomes, the more experience they gain, which means that they already know what they need to do to manipulate their targets. They already know what they need to do to keep you under their control. The older the female narcissists become, the more masculine they become. They have qualities and sometimes even an appearance that is traditionally associated with men. They become very dominant and controlling. They become noisy, loud and rowdy. They're always talking or making noise. They're always demanding something from you. They throw more temper tantrums. While when they were younger, they may have been a lot quieter. They may have been more self-composed. They may have been more reserved. But as the female narcissist gets older, they become less and less feminine and they become more and more masculine. The reason why the female narcissist becomes this way is because they never had any good masculine examples. They never had a man that they could look up to or respect. Someone who was a strong male role model. They couldn't even respect their own fathers because they were weak. They were easy to overcome and influence. The female narcissist's mother walked all over their father. And this set an example to the female narcissist of how to treat men. After seeing this their entire lives, the female narcissist lost more and more respect for men. They see men as something to exploit. Something to use and take advantage of. While they then decided to take on the masculine role. Because they've never met a man who was big enough to put them in their place. And even if they did, society is set up to protect these women. It is set up to enable their dysfunctional behaviors. Court systems are set up to favor narcissistic women. In today's world, even these masculine men often don't have a chance. So it's really inevitable that at some point the female narcissist has to take on the masculine role. Because now it's almost against the law to be a man. It's socially unacceptable. It's labeled as toxic masculinity. It is more acceptable for people to see a narcissistic woman walking all over a man. Which many people would see as female empowerment. Than for a man with boundaries to put a narcissistic woman in her place. Because now a lot of people would see that as abuse. Because of how we have been trained to see these situations. A strong man is not valued or respected anymore. It's seen as a bad thing. And society enables narcissistic women to manipulate and control men who would otherwise be confident and strong. Men who would otherwise be leaders. Because these narcissistic women can't even recognize these qualities in a man anyway. If they spend enough time around a strong, confident man. They will eventually see him as weak. They will just bring him down. And then blame him for the effects of their actions. They might triangulate him with other men. And say that they are masculine. But that's just designed to manipulate you. It's just another way for them to demasculate men. To deprive them of their strength.  Unless they can get something out of it. But in most situations.  Because they could stand in the way of them getting what they want. They need you to be under their control. They need to have influence and authority over you. So that they can then make the decisions. And then get the result that they want. But you won't have this problem. With a woman who is not narcissistic. With a woman who is more empathic. In those types of relationships. You can take the lead. You can be the man. You can make most of the decisions. But you cannot do that with narcissistic women. Because as they have aged. They have only seen what they consider to be more and more weak men. Men that should not be in control. Because they're basing this off of how they saw their father. And how they saw their mother treat their father. So that is then how they see you. That is then how they treat you. When you are involved with an aging female narcissist. You will feel like you are taking on the role of the woman. You will find yourself becoming more and more submissive. Fulfilling all of their demands. While before you got involved with a female narcissist. You may have been an alpha male. You may have felt strong and confident. But once you spent enough time around them. It weakens you. And then they begin to see you as weak. There is only one way to deal with an aging female narcissist. Your only option is to leave. Because in their minds you're weak. And any attempts you make to demonstrate your strength. Will only be seen as abuse. It's a no win situation. Your only option is to leave. And find a woman who is not narcissistic. A woman who is more feminine. A woman who can see your value as a man. Because the aging female narcissist. Is never going to respect that. It stands in the way of them getting what they want.  As though they're being taken advantage of. They don't believe that the man should lead. Because of how they saw their mother treat their father. When a young girl constantly sees their mother shouting at their father. Disrespecting him. Calling him names. She is not going to grow up to respect men. She's just going to see them as weak. She's going to see them as something to use and nothing else. It never used to be this way. Men used to be strong and in control. But now. Times have changed. Now being a man is labelled as toxic masculinity. It's seen as a bad thing. So now instead of having women who are submissive to their men. We now have narcissistic women. Who are running wild. Seeing men as weak. Disrespecting men. Because of how they saw their mother treat their father. And because society enables this behaviour to continue. The older the female narcissist gets. The more they begin to lose faith in men. And their ability to be men. They just see it as though. If you are so strong. You wouldn't be around them. You wouldn't tolerate all of the things they do to you. If the female narcissist has called you all sorts of names.  They're going to see you as weak. And they may even tell you you're weak. They're not going to have any respect for you. But like I said. It's a no wins situation. Because even if you do try to display strength. They're just going to see it as abuse.  You're either weak. Or an abuser. To the age and female narcissist. Thank you for watching. I hope this video resonate with you. Please like. Comment. Share and subscribe. If you would like to donate. By paypal link. It's in the video description. Coaching queries. You can email me at coaching at narksurvivor.co.uk. Thank you for watching and I'll talk to you soon.


Woo-hoo! Woo-hoo! Ba-ba-ba-ba-ba-ba-ba-ba-ba-ba-ba-ba-ba-ba-ba. Well, did the cortisone help at all? It really did. It helped a lot. Yeah? Yeah. And stuff? Just inflammation. Like, it was pretty much constantly in pain, which sounds worse. Like, in other words, oh, if I paid attention to it, it was always sore. And now it's not. You have to get it. On a scale of one to 10, Tom, where was your pain in? Great. Okay, here's my issue with the one to 10 pain scale. If I may go off on a rant for four minutes here. Sure. Okay, so it's from zero to five, it's still like slightly smiley face. Like a one is still a smile. Two is like a less enthusiastic. Then at five, it's like a medium face. Yeah.  Right. Yeah. At like a three, I'm crying. My temptation when you said on a scale of one to 10 was just to make the face. Like. See, that's closer to a five.  Like. Resting pain. I feel like you're like, that's the emoji that best describes me. That's what I'm gonna shift to. Yeah. You got to calibrate that scale. There should be 10 looping gifts of pain qualification. They shouldn't have static images of smiley face. It should be 10 gifts that represent various. I'm not joking, Scott. You could sell that to a hospital right now. I think we could. Yeah. We should get out of that. Wrong business. Let's do this. Well, we could put it in the store. There you go. So like hotcakes. Hey, I mean, we're getting a, well, it's not a medical. I was like, we can expand our topics to include emoji scales. We don't have a medical story today. We have a lab grown meat story though. I could write a think piece about how the pain scale needs to be brought up to date with modern internet communication. And then we can talk about it when everybody reacts to it. Nailed it. Nailed it. Nailed it. Changed it.  Ethan Kane says there's a narrative version that is very useful, which I assume means if he says the F word six times, that's painful. Yeah. Did you see this latest Axios post from Ena Freed? Oh, Ena. What's Ena up to? What's she saying? I don't know if I saw it. Hold on, let me open it. Oh, Intel made a thing.  Beep, beep, beep, beep, beep. Intel says the processor bug isn't unique to its chips and performance issues are workload dependent. Well, okay. I kind of knew that. Hey, this looks like a more organized post rather than new information. Well, it is notable. ARM also released some kernel changes for, you know, to the bug. So, you know, it may be a wider issue, although it's very interesting that AMD was, hey, hey, you guys, we're good. We never had very, what good performance. Yeah, anyway, historically. My little AMD fanboy heart bleeds every... Sorry, sorry. I was a big AMD fan too. I still, no, I got rid of my AMD. I like Ryzen, it was really solid. Ryzen is great. Yeah, there was a day I was in a serious rebellious mood and when I'd build PCs, I was going all AMD because I wanted to stick it to the man. All right, so Rich, I put the Intel statement in the doc and I'm gonna send it to you in Slack too, if you... Okay. If there's anything worth mentioning. Do I have the 2018 Daily Tech News show? You probably don't. I was just looking for the doc. I wasn't the only one today. Yeah, that's gonna happen for the first couple of weeks. Sorry about that. No worries. No worries. Okay, everybody ready? Yeah. Man, let's do this. Here, we go. A Nikola show keeps you in the know. If you'd like to find out more, please go to dailytechnewshow.com slash support and find out how to keep us on the air. Thank you. This is the Daily Tech News for Wednesday, January 3rd, 2018 from DTNS headquarters in Los Angeles. I'm Tom Merritt. And from Studio Feline, I'm Sarah Lane. From way over here, I'm Scott Johnson. Also joining us from the great land of Ohio is Mr. Rich Strafilino, some time host of Daily Tech headlines and also from Gestalt IT, how's it going, Rich? Fantastic. Thank you for joining us, man. Rich is gonna help us understand a little bit about the Intel CPU vulnerability. Also, our producer, Roger Chang, is here as well. It's okay. Is what's okay? To be sort of an afterthought. That was not meant to be an afterthought. That was me transitioning from explaining why Rich was here to what I always do right before with these top stories, which is introduce Roger. I'm sorry, Roger. Roger's like, it's okay. It's all right. It doesn't matter. I'm fine. Well, fine. Let's start with a few techniques you should know. As Tom mentioned, Intel CPUs have a vulnerability that lets an attacker access low-level kernel memory, which is normally protected from app and user access. The bug requires OS-level kernel patches on Windows, Linux, and macOS and will cause CPUs to perform more slowly. We are going to go much more into depth into this a little bit later in the show because it's a complicated topic. Blackberry and Baidu signed an agreement of intent to make Blackberry's QNX operating system, regardless of what chip it may run on, the basis for Baidu's upcoming Apollo autonomous driving platform. Baidu plans to integrate a number of its own software products into Blackberry's QNX car infotainment platform, including CarLife, which pairs connected cars with smartphones, Baidu's DuoS voice interaction system, and high-definition maps, finally. Man, Baidu and Alibaba just making partnerships all around the world. Microsoft announced its buying file storage vendor Avair systems, that's A-V-E-R-E, which develops file system and caching technologies for the media and entertainment industry. Avair's clients include Sony Pictures, ImageWorks, the Library of Congress, Johns Hopkins University, and Tehradine. Now, let's get into some more top stories. Kick us off, Scott. Well, as the art and editing nerd present at the table today, I really wanted to talk about this story. I fix it, as it often does, has done a teardown of a brand new product. In this case, the new base model iMac Pro, that is to say the one that is like $49.99. Right, the cheapest one. The cheapest one. I spec that thing out to almost $22,000 if you really wanted one like that, and of course, left the page as quickly as I could. Anyway, highlights include a large dual side-by-side fan cooler of CPU and GPU with no room for desktop-sized hard drives in the chassis. So that's important to note. It uses standard 288-pin DDR4 ECC RAM in four. The display is the same 5K display fan in the 2017 5K iMac. We already knew that. The CPU is an Intel Xeon W21, sorry, 2140B, and what appears to be a standard LGS 2066 socket, meaning upgrades might be possible in the future. That's not necessarily hardwired. The GPU is a Radeon Pro Vega 556. That's soldered into place. So that thing ain't moving. Drives our two PCIe-based NVMe 512 gigabyte SSDs. The bigger you go with some of the options, obviously the bigger those get and the more room they take. But anyway, the machine also features two Thunderbolt 3 controllers, a T2 custom chip handling touch bar, FaceTime camera, audio, and et cetera. I fix it, gives the iMac Pro a three for repairability. That's out of 10. That's out of 10. Yeah, and that bears mentioning because, as someone who is very interested in this kind of hardware for production and art and other things, video editing, this is a monster of a machine. It's really, really nice. There's no denying the actual specs are pretty stellar. But the big fear everybody had that this pro level device would have limited upgradeability as coming to bear here. So yeah, three out of 10, not happy to hear it. I mean, three for Apple's not bad, to be honest. Yeah, it's actually higher than usual, yeah. And also consider that with Thunderbolt 3, Apple and with High Sierra, Apple also introduced being able to have external GPUs. So while not useful for gaming, that's basically a PCI force, four lanes of PCI Express. So you could hook up a graphics card for rendering that kind of stuff too. Not the most elegant solution, but if you're already spending five to 20 grand on a all in one, might not be a bad solution down the road. Well, and for anybody who's used to Apple not being super friendly with people wanting to upgrade their own systems themselves, they did bury that note about new Mac Pros coming and they're going to be, you know, at least, you know, on some level, you know, people will be able to customize them a little bit, bit of a throwaway line. We don't really know a lot of information about that, but for anybody who's going to plunk down a bunch of money for a new iMac Pro, you know, it's, it's might indicate that Apple's willing to at least play along in the future. If rumors are to be believed, the, I'm using a Mac Pro cylinder style trash can, I can one right now from 2013. And I love it, it's been great, has never let me down, it's been wonderful. And you can expect those to be relatively not as expensive as say this all in one solution, but it does beg the question. If they have a whole new line of these coming out and the rumors are that they're not the same form factor, that they are a more upgradeable tower style design akin to the more previous models of this device. If that's true, it's hard for me to figure out who are they aiming that for versus who are they aiming the iMac Pro for? They're clearly aiming it for professional high end users, but I don't know why, I don't know who which one is for. In other words, this feels like a scatter shot to a market that they maybe, maybe they don't know who wants which of these. So I'm very curious to see what the new Mac Pros are and to see how that susses out at least in the professional market. So maybe a year or two down the road, we're back to looking at one solution and not these two weird diverse options. Side note, I ran a frequency counter when you were on what you read, Scott, and I only, you only missed J and Q in the letters. Oh, very nice. Yeah. I mean, there were a lot of specs there, so. Seven out of 10. Not bad. All right, moving on. Roku announced a new licensing program for voice-enabled smart speakers. Yes, Roku is getting into this too. Smart soundbars, surround sound and multi-home audio systems that use new Roku Connect software. The company will build the voice assistant, but will leave the Roku Entertainment Assistant hardware to OEMs such as TCL, which already announced it will unveil its debut Roku Connect powered device at CES next week, January 8th. This is a very interesting gambit. So a lot of people are trying to get into the voice assistant now that the Amazon Echo has shown it's viable. Live in Google Home is very successful as well. Of course, Apple has its home pod coming out. This is an interesting take where Roku says, we don't wanna be the one speaker for everything. We think the problem is that people really don't understand who they're supposed to say to what and how to set all this stuff up. So we're just gonna focus on entertainment. And if you have us in your smart speaker and you have a Roku powered television or a Roku itself, you're gonna be able to just say, watch Netflix. And hey, Roku, watch Netflix and that'll happen. Whether that's enough of an advantage for people to buy into that or whether people will say, yeah, but that won't turn on my lights and that won't handle my garage door. I think it's too early to say, but it's an interesting take rather than trying to go butt heads with Amazon and Google, et cetera. It's also, it's a big question. I don't know who has the data for this. Maybe nobody has the data for this, but I'd love to know how many people are using their Echoes and their Google Home specifically for entertainment because I'm in that category. And I'd love to have more things turning off and on and timed and lights and all this other stuff, but I haven't had time to really go for it. Kinda still wait to see how it susses out in terms of who ends up being the best of the three and four or however many are coming out. And so this may be a really smart thing to do because they maybe know that a large percentage of those people are just like, yeah, I just need a way to play my music real quick or integrate to my TV real fast and just say quick, play me some best of REM tracks or whatever, because this is a complete guess, but I'll bet they're like me. I bet there's tons of people who use these devices primarily for that. Well, and Roku is known as, if you want to put it against the Apple TV, it's cheaper, at least at one point it had apps that Apple TV didn't support yet. And Roku faithful or it's great little ecosystem there.  But I thought, that's a little bit limited, but at the same time it's sort of like, it sounds like Roku is like, at the Echo Google Home, we can't really compete with them on price or undercut them too much. So why not just give people one more reason to enjoy the Roku system as it exists already? If you have a smart speaker of some kind, then now, as long as it's an OEM that's working with Roku, you can do stuff with the speaker that you already have that does other stuff and we don't have to try to capture that entire market. Yeah, also they're not charging the manufacturers to do this. They plan to make their money on getting people into the Roku system and selling ads through the Roku system like they do on Roku, on the Roku interface right now. So that means more speaker systems and home entertainment systems might be willing to do this because it's not gonna cost them. Yeah. Nissan will demonstrate its brain to vehicle or B2V technology, new acronym for you, at CES next week.  The wheel or the brake pedals will start moving 0.2 to 0.5 seconds sooner as a result. Fast enough that you probably won't notice, they say, but it will make the car feel snappier. Nissan said the system could also be used to detect preferences and discomfort. So maybe lowering music volume or adjusting temperature automatically. Nissan said the tech should be available in cars in five to 10 years. Similar monitors are being used by Australia's BHP Billiton Mining Company to check truck drivers for fatigue. Cool, you just wear a skull cap and you know. That's all, yeah. And that driver looks so comfortable.  It's great to have a brain wave monitor. Right, that driver is sitting there just. It's so terrified. I don't wanna move too much this way. It's gonna pop a wire. I mean, the fatigue will set in of wearing the skull cap. I have a feeling before the fatigue of driving, but they'll know if you take it off. So you gotta leave it on. Is there any thing in here about why this has any benefit over an autonomous vehicle with a computer that? Well, this will be for their autonomous vehicles. The idea is that if you want to take over in certain situations, it will be able to- It makes the failsafe option more precise. It'll work better. And those things like heating and cooling and stuff would also be applicable to an autonomous car. I hope they call it the Doc Brown.  I just like, how would it for sure know that I'm cold? Shivering. Like, what if like, I'm having a weird day and I'm just thinking weird stuff.  Well, but we'll all want to wear these stylish driving skull caps. That we can agree on. Let's talk about clean meat. Cause I think meat should be clean. Clean meat companies are becoming a thing. Super meat is an Israeli company that has the best company name of all time and just raised $3 million for lab made chicken. Bill Gates called, or sorry, Bill Gates backs one called Atomico. We've heard about that one before. There's also Memphis Meats and Hampton Creek. All of these companies take an approach to growing annual sales in the lab rather than getting it from actual animals. And they all need to solve the problem of scale, of course. Plus it has to taste good. Super meat says about three years away from selling its products in supermarkets. You'll walk down to Smiths and pick one up. Well, that might just be here. Anyway, wherever you go, safe way. And those initial products will be processed foods, not whole synthetic chicken breasts. So nugs. Yeah, exactly.   I want people to be prepared for that.  They could mold and do whatever. Yeah, McDonald's has been preparing people for that for a couple of decades now. If you've had a McRib, then you have had a shape of meat. You've had some super meat. Yeah, I'm excited about this. Every time, every time artificial meat comes up, Tom, I'm signing me up. I'm ready. Well, and it's making its way, I would say out of the lab, but from just being a research project to being a startup idea. I mean, people are getting funding for this. So somebody thinks there's a chance this is going to work. Three years seems optimistic to me. I mean, these scale problems that they're having are not minimal. Also taste, it's really, really got a taste, right?  Maybe that's the whole idea. And so yeah, my guess would be this will be a processed food replacement for the foreseeable future if it comes to market. Yeah, artificial meat is going to come up again. And I mean that literally. I mean, a couple of years ago, I remember everyone talking about the artificial burger and what it tastes the same. And at least in a few restaurants here in LA, you can get one. And people say, it's not exactly the same, but it's not bad. So I don't know. I would eat fake chicken processed foods as long as it didn't taste bad. But it's not fake. It's real meat, just not from a live chicken. Not from, yes, exactly. I mean, if all the meat alternatives I've tried over the years, most of which is pretty terrible. It's like, this sounds promising. Just make it taste better, be happy. All right, Spotify news time. Spotify confidentially filed IPO documents with the SEC at the end of December and sources to Axios. And as of a couple of hours ago, Bloomberg as well, it may list itself as early as Q1 of this year. The company is also being sued though for $1.6 billion by Wixen Music Publishing, which claims Spotify doesn't have proper mechanical licenses. A new US House bill, which is under consideration called the Music Monetization Act would simply simplify licensing by putting all songs in a big public database and then give companies blanket mechanical song licenses tied to market worth. Makes it way easier, cuts down on lawsuits like this. So long as a lawsuit is not already in place, which it is. So this lawsuit from Wixen to get Spotify was obviously timed appropriately. Yeah, $1.6 billion would be a hard pill for Spotify to swallow too. Well, and there's a lot of question about why Spotify has wanted to go the direct route on getting on the New York Stock Exchange, which is not unheard of, but is at least historically known by a lot of companies to skirt some fees associated with playing a roadshow and collecting money from various financial institutions. So it's on the surface like, okay, kind of an easier way to go. But if Spotify's worried about getting hit with a lot of other types of fines, it may make more sense.  If this Music Monetization Act passes and it looks like it will, we are going to get a trickle because everything is so complex out there, our competitive advantage is the confusion that we can claim we deserve payments that it's arguable, maybe we don't. So we need to get Spotify to agree to pay us for the foreseeable future before this becomes law and hitting them over the head with a $1.6 billion threat is a way to get them to the table. They don't win by getting Spotify driven out of business, right? They win by getting Spotify to agree to something. That's my guess is what will happen. I like that the cited examples are Tom Petty and folks like that. It's just a reminder that archive music, meaning bat catalog is huge in this business. It's not about top 40. It's not about what's fresh. Sometimes it's about what's old. If you're Neil Young or you're Tom Petty, music is being used without proper licensing. Look out because you might spend more money than you want to there. All right, folks, if you want to get all the tech headlines each day in about five minutes, subscribe to DailyTechHeadlines.com. It's on the Amazon Echo, Anchor and Google Home. Now, the vulnerability on the Intel chip is between the processor and the operating system. It's the way it handles memory. It could, we don't know that much about how it actually works, but it could allow malicious programs to see data usually only reserved for the kernel. The kernel is the part of the operating system that runs everything. It needs to know everything. So you have to secure the kernel above all else. This is a huge vulnerability. If you can see everything the kernel sees, then you see almost everything on the computer. How it works has not been detailed publicly, so we don't know how easy it is to take advantage of, but Peter Bright has an excellent writeup on ours Technica about why this is a problem. And I'm gonna try to walk you through it as simply as possible. Each byte of information has a memory address. Physical memory addresses are on your hardware and they aren't necessarily continuous. You put something here and then you delete something and then the rest of it's over there. Well, they're not gonna be in order and that's not efficient. So virtual memory keeps the addresses tidy and efficient for programs so they don't have to be looking all over the place for them. They all look like they're right next to each other and that makes it easy for the program to run through the data. Now a nice side effect of that is that each program gets their own virtual memory map, meaning they can't look at another program's memory. You get your own map and if you look at an address on that, it's just your information. The other program has its own map and you don't know what that map is. There's something called a page table that translates the virtual addresses to the real physical addresses. So that's how you're able to tell the processor where that memory really is, where that physical address on the hardware is. The OS and the processors both refer to the page table to find bytes in memory. So when the program tells the OS, hey, I need this bit of memory, it's at virtual address this, the OS looks at the page table and goes, oh, that's actually physical address this and it tells the processor, hand me that bit of memory. Now, the processor keeps something called a translation look-aside buffer, but don't worry about that, just call it the TLB. The TLB stores some of these maps so that the full page table doesn't have to be pulled up every time. I mean, think about all the programs and all the data on your computer. You don't wanna have to pull that full page table up and look at it every time. That's a big old thick phone book. So you just have a little one that you can grab and say, okay, I know it's this program, so I'm just gonna pull this part. That's called the TLB. The TLB splits its virtual addresses in two, one half for the program and one half for the kernel. And that's because you always need the kernel. Kernel's there every time. Kernel's the OS that's gonna be like, I need to help you out with this because I run everything. So only half the TLB has to be refreshed. You could think about it like the big phone book is the page table and the TLB has two slim volumes. One is the kernel addresses and one is whatever program you're using. So you just pull out one slim volume, grab the one for the new program and pop it in there. All right? Now, to stop programs from snooping on the kernel side of the TLB, the processor can be in user or supervisor mode. So if a program tries to be malicious and says, hey, I'm the kernel, give me something at this address, it'll say, no, you're in user mode. You don't get to request that piece of memory. A user process can't access supervisor memory even if it tries. Now, to speed things up even more, processors do something called speculative execution. And this is where we think the problem is. In speculative execution, the processor comes up with a memory address to write to before it checks if anything's there while it's executing the function. Now, if a guest is an empty space, that saves time because it doesn't have to wait until it finishes processing to look and see if there's a place to write the memory to. Intel, in its implementation of this, doesn't stop user code from trying any address. Some of those addresses could end up being supervisor addresses. And now it blocks it from using a supervisor address. It doesn't let the program read the data at the supervisor address. But when it happens, some supervisor data is loaded into Cache and into the TLB. And this is the best guess at the source of the vulnerability. So you've got those phone books going on and you've got this guy who's like trying to guess where to put the information. And in doing that, he pulls like an index card. And maybe there's a chance for the program to see what's on that index card at some time. Anyway, the solution has been to pull all the kernel data out of the TLB altogether. So that slim volume, it's not in the TLB. It's in something called the kernel page table isolation or KPTI. That slows things down. Cause the whole point of putting the kernel data in the TLB was that you didn't have to refresh it all the time. And now you do. All right? I don't know if that made sense to anybody. That's my best chance of explaining what's going on here. And if you want more detail about that, I highly recommend Go Indara's Technica and reading Peter Bright's description of it. But the upshot is you were trying to make it easy for the memory to be accessed fast. And in the process, some of it got a little fast and loose and maybe got a little too loose. And so now you have to just pull all that memory out and make it harder to get to, which slows everything down. Rich, this is causing people loads of headaches. Yeah, this is causing major issues.  Right now, a lot of this has come to light looking through Linux source code and recent kernel updates. We've seen AMD come out with a pretty backhanded press release saying, we're not seeing any of the speculative execution problems on our end. So a lot of it is guessing and that makes it even more scary. But on the face of it, the fact that you could gain access to kernel memory is huge. And the real issue here is there's no easy fix. It seems like no easy fix for this for Intel. When you fix these patches that are gonna be coming out, Microsoft's working on one, which by the way, they've been working on that since November. We've had Windows Insider updates coming out since November with tests of this fix. So this has been around for a while. There's some speculation that people have proof of concepts or at least working on proof of concepts as early as July. So people have known about this for quite some time and we're seeing now performance impacts of five to 30. I've seen claims of up to 50%, although that seems to be more like in a benchmark situation and necessarily in a real world situation. And the issue is there's really no way for Intel to get around this. It's very interesting. Speaking of AMD, they had this very similar issue a few years ago. They had a TLB bug in their initial Phenom release.  And the only way they had to change it was to release a new stepping, AKA print, like make new chips was the way they fixed it. And unfortunately, it seems like fundamentally to fix this error, obviously rewriting some kernel code can work around it, but to get around it without performance impact, it seems like right now, the only way to do that is Intel needs to make new chips. This potentially could have huge problems across, I've seen a lot of focus of it in my coverage of it in the enterprise. If you're seeing a 20% decrease in CPUs on public cloud, you could see this, basically anyone that is running virtualization absolutely needs to implement these patches right away. Maybe high performance computing, I've seen speculation may not implement this because they might be working on more academic work, so that might not be impacted, but virtually all other large deployments, anything with virtualized or even containerized applications, I think definitely needs to roll this out right away. So this is here. Is there an argument to be made for chip architecture to start including a firmware type systems, meaning patching OS is one thing, but it feels like a weird workaround that's gonna be hard to make sure the vulnerabilities covered across the board as possible. It'd be great if these chips contained just maybe a little bit more memory capacity or something where a firmware type thing could be flashed and upgraded on these chips. I mean, that's getting more into like ASIC territory and that kind of stuff.  Yeah, oh my God, they're always on the top of my mind. I love them so much. Anyway, code more fit all day, every day. But the, I mean, I haven't seen a lot of call for that. That seems more on the computer science end of it. I think when Intel's just trying to get their coffee like CPUs out, this is the last thing I'm sure that they wanted to be dealing with. And while it's not good, it's a problem that like you said, AMD didn't address this. And so that was one of the reasons they were having to do other things to get their performance near to Intel's. So there are other things Intel can do to mitigate this. It'll be interesting to see how they approach it. My guess is we aren't going to see 30 to 50% performance decreases across the board. It all depends on what you're doing, right? Yeah, and I also think that down the road, people are rushing to get these patches out because this is a huge security liability, right? You don't wanna be the last guy to patch this. And all of a sudden there's this huge exploit that nobody knew about. But there may be some room down the line to massage updates to the kernel to maybe to have less of a performance impact. But the fact of the matter is, I mean organizations bought thousands and thousands, millions of these Intel CPUs expecting a given performance per core or per clock cycle or what have you and all of a sudden overnight just so that they aren't exposed to a security vulnerability are going to see significantly reduced performance. And it's even worse on older Intel processors from all reports. So you could have organizations that are in danger of not being able to meet service level agreements which could lead to lawsuits on their end. I mean, there's gonna be no end of lawsuits from a variety of Intel partners, I'm sure. And again, it's not like Apple reducing the price of a battery replacement. I mean, Intel can't replace everyone's CPU. And it's also, I think kind of notable that this is the second year in a row now we've seen a major Intel bug coming out last year. We had the Intel Atom CPUs that were breaking all sorts of devices. There was a big problem for Cisco, I know. And it's also really important to note, X86, this isn't just a Windows thing, it's just a Linux thing. Mac OS is vulnerable to this. BSD, pretty much anything that's running X86 is vulnerable to this as well. Although I did see some speculation that Mac OS might already be patched for this. All right. Well, thank you, Rich. We'll keep an eye on it for you and let folks know. Thanks everybody who participates in our subreddit. You can submit stories and vote on them at dailytechnewshow.reddit.com and in our Facebook group, Facebook.com slash group slash Daily Tech News Show. Time for the thing of the day. Let's check in with the amateur traveler with some important updates on those suitcases that have built-in batteries. This is Chris Christensen from amateur traveler with another tech in travel minute. On this segment, we've talked about some suitcases that have built-in batteries like the Away suitcase. That means that when you're in the airport, you'll always have power with you, at least until that battery depletes and so you can recharge your iPhones and things like that. What we haven't talked about is some new changes regarding those suitcases put in place by some of the airlines. Starting with American Airlines, they have decided that you cannot check a bag with a battery in it. That is with these built-in batteries. And so if you have a bag that doesn't have a removable battery, you cannot check that bag, period. They will not allow you to check that bag. And so be aware that if you're going to buy one of these smart luggage pieces, get one with a removable battery. I'm Chris Christensen from amateur traveler. Yeah, you can carry it on, is my understanding. You just can't check it. I mean, depending on how big it is, it's like you should really know. You should know what you're up against there. Thanks to both Scott Johnson and Rich Strfellino for being on the show. Rich, you're not normally with us on Wednesdays, but it was great to have you tell folks where they can keep up with the rest of your work. Sure thing, you can follow me on Twitter at Mr. Anthropology or check out my writing at gestaltit.com. We have a really great podcast. We do the on-premise IT roundtable. We just released one on Tuesday about intent-based networking, which is really cool. And also check out our interview series, IT Origins. I just interviewed Alison Sheridan. You may know her. So that's coming up, actually be out tomorrow. So check that out. It's an hour-long conversation and it goes all over the place. It's really cool. It was really fun. Excellent. Scott Johnson, Mr. Frogpants himself. Besides staying warm, what do you got going on? Well, I am trying to stay warm. It's very cold here right now.  I'll just say this. Check out frogpants.com, of course. But I don't often promote this, but lately I've been putting some cool time-lapse video of some art stuff I've been creating, all of it leading to a new art tech episode of DTNS Labs. So if you wanna see that stuff and sort of sharing what I'm working on, you can check that out on my YouTube channel over at youtube.com slash Scott Johnson. All right, folks, we're supported by you. Lots of cool people talking to each other on patreon.com slash DTNS. Thanks to everybody who supports us there. And because you're supporting us, we can do new things. So we're not just doing episodes of DTNS from CES, we'll also be live streaming from CES Unveiled, showstoppers and digital experience. You can catch us on Facebook Live and streaming at facebook.com slash groups slash daily tech news show or at facebook.com slash daily tech news show as well.   Feedback at dailytechnewshow.com. Rude emails, maybe not so much, but we are live Monday through Friday at 4.30 p.m. Eastern, 2130UTC at alphakeekradio.com and diamondclub.tv. And our website is dailytechnewshow.com. This is the page table, this heavy dictionary and these are the TLB. Maybe that makes it more sensual. Talk to you with Justin and Robert young tomorrow, okay? This show is part of the Frog Pants Network. Get more at frogpants.com. Bob, I hope you have enjoyed this program. Tom, did your prop master just hand those to you? Yes. The show is going. Oh, Rich, you have no idea. Everything like is just within, you know, just within the reach. I guarantee if I mention an original Surface RT it just magically appears, I'm sure.  By the way, I'm not joking. I love, if you want to at me Twitter, I'll talk TransMeta all day. I remember one of my like first jobs, we had profiled the company who made, I just, so name I hadn't thought of in a long time. TransMeta. TransMeta, he's me. I said something about a VHS tape. I'll bet Tom would have one right there. Oh, so you guys see that, don't poke the beast. Let's challenge him. I'm just really sad that my Windows RT tablet is not anywhere to be seen. It is somewhere here. You know, the pre and particularly post-show? Did someone say Liberty? Did this stuff is like, I start dreaming about this later. Maybe not the movie bell, but like the other night I had a dream that I had found my first cassette recorder, you know, and I woke up like, dang it. I don't actually have that. And I have these cassettes in a box that I can't play. Yeah. It's all because of this. Well, if someone wants a can of the original Coca-Cola before it was called Coke Classic. I haven't got one of the bottles. I love it. When was it? The original Coke Classic. It had been around quite a while by then. Yeah. Or I don't know, a Fargo snow globe.  Where did you get that? Why is it so yellow? Charging iPhone. That is pretty disgusting water at this point. That's so cool. Fargo needs to, you know, get that thing out. The thing about it is I just have a lot of randomly weird stuff around me. And so when I hear something that relates to it, I pull it out. If you try to go on demand, it just like ruins the illusion because it's like, man, I don't have a cassette. My windows are teeth. There's no judgment here, Tom. It's a safe space. We're all friends here. Well, this friend wants to know, titles. Yes, friend.  Oh, it should be get out of my brain and into my car. The Colonel dresses the T.O.B. Beaded the B. Secret meat. Scott wants clean meat. Love to fly. Let the chips flaw where they may. What's wrong with Intel's chips? Refresh my memory. Did you say it's flaw where they may? Yeah, that's really good. Colonel's of truth behind Intel design flaw.  Intel has a cash flow problem. Nugs, nugs, nugs. Got to go some cash flow problem doesn't make as much sense. But I kind of it's it's not a cash flow. I know, yeah, but I just love that. Well, you know, I mean, the bigger issue is that the entire the entire crux of the issue is that for so long, so many of these engineers have were focused exclusively on performance. Take times. Yeah, and you know, security was given a backseat. Well, and then the other thing is that there's no there's also no competition. So it's literally everybody is running, you know, Intel's eons and everything like that. So, you know, the the the spread of it is so much single point of failure. Exactly. All right, so are we going with let the chips flaw where they may love that one? Oh, that's a good one. All right, I wish I had used that one.  So it's always good. But but no, the the flaw William Ocean. And how did Billy Ocean sing a song called Get Out Of My Dreams, Get Out Of My Car?  One of one of the strangest songs. To me. Get out of my dream and it's in its beloved. But like, Billy, what are you talking about? Well, you see, he was dreaming about someone and then he wanted to go for a ride in his automobile. So I get it. So no, sir, I think I need to explain this. Like, OK, he's fantasizing. No, but see what was happening. So you're just getting it. Yeah, you don't get it. He had a car that you need a lot to do to ride. Everything's a metaphor. He's actually was about the Cold War. Get it. Even have a license. Like, is he a good driver? There's just like a lot of this is before Lyft. The car was. What would you know about capitalism? The car was capitalism. This is this is a love story in the 1980s in America who saw somebody on the street and is like, I hope you use the app and I hope I'm nearby. Just get in my car. Quit jogging away from me screaming. Yeah, just get in my car. Don't worry about it. Yeah, no, the doors just lock from the inside. It's cool. Public opinion won't be against this for another 20 years. I really wish I had the Billy Ocean album right now. Oh, I love Billy Ocean. That would be the national treasure. The thing is, I probably have the forty five. I just couldn't get to it. Reach that far to the other side of the room. You have that on many discs. It would take a long time to dig out the forty five. Laser disc. Laser disc. Billy Ocean's greatest hits album is literally two songs. Thanks. Caribbean Queen is one of the most wonderful songs ever. Oh, that's a good song. Really good song. Then there's this one. Then there's get out of my or no. When the going gets tough, the tough gets going. Ah, get rough. See, there it is. It was there. There we go. Yeah, there's a time where every other every station was just playing his. Tom has disappeared. This is concerning. He's going to find a Billy Ocean album. It's always a little concerning when Tom. It's it's no OMC is how bizarre, but, you know, it's a fair song. You know, he only had that really one hit. But think about it. How bizarre. How bizarre. That's not bizarre at all. There's a lot of what you do exactly shows about. Do you do do. I mean, there was Bobby, Bobby McFerrin. Well, he had that Wesley song I was going to see if my complete collection of Golden Platinum from Columbia House Records had Billy Ocean on it. But it doesn't does have does have Tina Turner. Oh, it does have Bobby McFerrin, though. No, I'm nice on this one. Tom, this is the this is the best one, though. This one's got man-eater, heat of the moment, every breath you take. Oh, my gosh, you know, I don't know. That's not Yacht Rock. There's some Yacht Rock on there. I saw it. There's a woman who. Oh, yeah. Aretha Franklin. Nineteen eighty five. Take another look, tell me, baby. Is there any Oingo Boingo on there, Tom? No, that's way too progressive. Oh, OK. I think I think I think Danny Elfman went back through time and made sure that no reference to Oingo Boingo can ever be made again. I'm going to be silenced now. He he does not like to talk about it, apparently. It's a dead man's party for him. Yeah, who could ask for more? Oh, that was Oingo Boingo. I was like, I don't know what they sang. It's a dead man's party for him. That's weird, too. They were so seminal in the 80s and then like he became he became like big name. Sarah, here's Sarah, here's the thing, cocaine. Explains everything. Cocaine, right. Yes, well, I suppose, yeah, try hard enough. Um, what is Oingo Boingo also the mirror in the bathroom? People know that the same group or no English beat. Yeah, that's English. But that's English beat in the bathroom. Oh, OK. I was thought the dead man's party in the mirror in the bathroom were the same. I have the same over. I have an oddly specific knowledge of music from 1985, because when I turned 30 on my college radio show, I only played music from the year I was born for an entire year and only an only whole album, whatever, whatever year for a for a second. There I thought you were trying to say you were 30 in 1985. No, but it like I just have this very expansive knowledge of only music from 1985. Right. That's a very odd thing. At first, I was like, Rich looks amazing. I know. And then you're like, Rich looks real bad.  Whatever. Sorry. In 1985, I'm 32 now. If I had to pull all the music for the year, I was born. I mean, like I'd be pulling out Gordon Lightfoot. But no, there's no judgment. There's no judgment music. As long as they had recorded music back then, that was fine. Top hits from my year without, you know, exposing my year because it would be so hard to find on the Internet. Top 40 minor like carpenters. And I think number one on my birthday was the Long and Winding Road. And then like ABC by the Jackson Five.  I mean, a lot of the music from my year sucks to the streak. I'm going to not a lot of the music from 1985 is not that great. Yeah, there's a lot of 70 is just one golden hit after another. It's the perfect year of music. Oh, I shot the sheriff. That's good hooked on a feeling. The number one song of 1970 was Bridge Over Troubled Water by Simon and Garfunkel. That's a good one. That's nothing wrong with that. I like Garfunkel so much more than that. Here's the top 10. Close to you, the carpenters. American woman, the guess who? Rain drops keep falling on my head. B.J. Thomas, War Edwin Starr. What is it good for? Absolutely nothing. Ain't no mountain high enough. Diana Ross, I'll be there. The Jackson Five. Get ready rare earth. Let it be the Beatles and band of gold free to pain.  I'm sorry. Like I, you know, you say I was born at the end of the year. Right. So I was born at the end of November. So say I take the following year. I get the hustle. That's a great song. I get rhinestone cowboy. That's a great little diamond movie. Like a rhinestone cow anymore. Captain to the level. Keep us together. I bet everybody's got, you know, I've got like some fingers. There's some good stuff. Yeah. Everything around me is gold. And even then, it's slightly tarnished, but gold. Killing me softly. Yeah, that's a wait. That's from your year. Wow. I thought that's from from the year previous.  Kodachrome, like that song. Oh, Kodachrome's good too. I just love him and Garfunkel. Hey, don't jump. I guess Kodachrome's having a Garfunkel or Paul Simon. There's both Kodachrome. I think it was just Paul Simon. Yeah, I think you're right.  The sound quality is just not there. I was like, people learn to love music lists on AM radio. Like you have, like it sounds really better. Right. You have to take it. Not as if we we've had, you know, five point once around sounds. Yeah, I'm like, you're so precious.  Like people, there isn't maybe 278. Every single American had a high fidelity music. Yeah, from Sears. That was terrible or or or J.C. Pennies, I mean, they had a company, perhaps. No, like, I think there's an entire generation of Americans who've never heard the sound of static on their music. Like, unless they're into like noise or something like that, where it's all static. I think the real frustration is that even in the era of AM radio, you had FM radio and you had high fidelity systems. So if you were somebody who really wanted high quality music, you get it with MP3s. It's become harder to get digital high quality music. Pono it up. Yeah, Pono that. Pono that. Well, we we also had Quadrophonic in my in my dad. You could buy that nine billion dollar Sony Walkman from CES a couple of years ago. Well, let's do it. Had diamond encrusted knobs and stuff. Delta Dawn. I don't remember this song. What's that flower you have on? Could it be a faded rose from day? You know, the 70s the 70s soundtrack to me will always be laced with harmonica. And if I and if I make OK. Yeah, but lots of harmonica for some reason, like everything just had a harmonic in it. But harmonica, not like the forties, which was laced with harmonic high. Harmonica, by the way, Woody Guthrie music when he's going into public domain finally next year in the US. Yeah, the sample that. Well, because next year will be the first year that we'll have had songs go into public domain since they last extended the Copyright Act. So music from the 20s. Oh, Charleston flappers are making a comeback. By the way, speaking of music with that used to have harmonica in 1985. If you ever want to hear one of the best bad albums of 1985, I highly recommend Bob Dylan's Empire burlesque. It's amazing. It's an active genius. That is also harmonic high. That's terrible. It's like weird, weird 80s Dylan is weird. Fun fact. And this pains me to say it for a variety of reasons. But I am named after a Bob Dylan song called Sarah, but it's spelled without an H. Oh, interesting. That's too bad. It's probably other Sarah song. It's a nice song. Yeah, there's the all notes. Is there a smile also without an H? There's a couple of Sarah songs because somebody's kid was named Sarah also without an H. Jefferson Airplane also without an H. Excellent. That was starship by the time. Yeah, because it was they went from cool to like corporate or bad. The space of three years. We built the city is a wonderful song. I don't care how corporate they were. Oh, we had a version for for our radio station. I still does not seem like a found civic infrastructure. I just want Sarah to know. I still think she's one of my favorite people on the Internet, and I'm going to let that one go. This is all fighting about starship all day space. They they not only when you watch that video, by the way, do yourself a favor. I watched it two weeks ago because we were playing a bunch of music for my kid a few weeks ago. It was featured in that first Mannequin movie. And maybe that oh that for me, I don't know. Exactly. It's also about San Francisco. And I was a kid and, you know, exciting when they sing about your city. Actually, I'm trying to think of all the pop songs that feature San Francisco and there I can only come up with all the leaves of brown. They should change it to we built this city on ride sharing and we built this city on we built this city on. So this is the one weird thing about San Francisco because the one one one of many. But what's the weird thing about San Francisco, Roger? No, like, so the zoning laws is the zoning laws in the city are very restrictive on how you can build new homes and and alter existing ones. So much so that if you actually pull up like a photo book from like the 19th and 1920s and 30s of San Francisco, you look out at the Western Edition and out in the sunset. A lot of the houses look exactly the same, except you'll see a model T in the driveway instead of like a Toyota Prius. And it's just weird. The weirder ones are the ones from the 50s that have a Toyota Prius and you're like time traveler. Wait, so we built the city was featured in the Muppet movie. Oh, yeah. No, I don't remember that. Oh, lunchman nailed it. We built this city on IPOs. I think you would say I see you at this point. Yeah. Keep a cutting edge. See movies. We built this city. Roger, let's let's cut the stream for the day. Getting the stream. Thank you for watching. Nothing's going to stop us now, Jefferson, Starship and Mannequin. All right. Bye.


Okay, so hopefully Ellen's given you a flavour of what's available and all the sort of things that you know potentially you could do with the data. Now I know some of you who are here this afternoon have already gone through the application process and have projects up and running already so it's really good to see you all here this afternoon but some of you won't have gone through that process so this will potentially be all new to you. So I thought it would be useful just to talk through the application process so what you need to do if you want to to work with these data and before I get started about talking about the practicalities of applying for these data I want to just situate it in the context of data access policy because I think it's important to have a little bit of an understanding of this before you access these data. So essentially data access exists on a spectrum and you've got open data where you know the data is not that detailed might be aggregate data and there is no considered risk that any participants in that data could be re-identified and generally there won't be any restrictions on the reuse of these data. Then you have this middle section of the spectrum which is safeguarded data and this is where there might be potentially a risk of re-identification but it is very very low or even zero and this is data that's available under our end user license or perhaps our special license so there's a little bit of paperwork to do so you need to have authentication and authorization and you might already be very familiar with that process if you've worked with data through the UK data service before but the third group which is what we're going to talk about for the rest of this webinar is the control data access. Now this is where the data is very much more detailed there is a risk of re-identification within it so we require again the authentication and the authorization but there are additional steps to go through and that requires approval of project, the vetting and training of researchers for example and I'm going to talk about that a little bit more detail but I just wanted to set that context before we get going so accessing control data involves a secure access agreement now I'm not going to talk about the legislation in detail because I'm not a lawyer at all but I and I don't think you need to know the legislation in huge detail but I think it's important to realize that these controlled data the secure data are only made available for access through specific legislative acts and this legislation allows us to provide access to personally identified data identifiable data under a legal gateway now those legal gateways vary there will be different legislative acts depending on the the data source but essentially they all do the same thing they determine who can access what data for what purpose under what conditions and for how long and I think that's really the take-home message here that I want you to have so under these legal gateways researchers access data and they undertake their analyses in a safe setting and sometimes you might hear those calls safe havens secure labs all there's different terms but essentially it's a secure setting and researchers agree to conditions for handling personal data they agree to reach penalties they agree to be trained and to become an accredited researcher and I'm going to explain that in more detail and they agree that their research projects will be accredited as well and there is the need for the institution to come to sign on behalf of the researcher as well so that's kind of a really really top level explanation just to set set the scene but I'm going to move on and I'm going to talk about the application process in detail now so the application process is a multi-stage process you need to be allowing time for this process so you know it's not an overnight job you need to really allow a couple of months researchers have got to be based in the UK whilst they're accessing these data so just bear in mind that if you are based in in multiple locations access to secure data has to be done whilst you're based in the UK you need to apply to become an accredited researcher which means you have to meet the data owner's criteria and you have to attend a short training course and again I'll explain a little more about that in a second and the next stage is to submit a research proposal and your research has got to have a valid statistical purpose and it has to be feasible and again I'm going to talk about that a little bit more but first I want to explain what we mean by accredited researcher now this isn't actually a very complex process you need to submit an application form and you will then need to complete the safe researcher training course so it's it's not a particularly complicated process but you do have to spend a little bit of time completing that form fully that's probably my number one tip and you will need to meet the accreditation criteria now just to give you a little background on the accredited researcher status now the Office of National Statistics the ONS have been given the authority to manage this accreditation process now this is something that you only need to do once every five years so it's not something that you have to do every project or every year it's just do it your status lasts for five years at the end of that five years you'll need to refresh that status the good thing about having the AR status is that you can use it across all accredited digital economy at processors now we at the UK Data Service are one such processor there are others for example the ONS and the HMRC so if six months a year down the line you decide you want to go off and do some research with the HMRC you don't have to reapply for the AR status okay just one other little thing to know as an AR you will need to agree to your name being added to the UK Statistics Authority website they are keeping a list of all AR researchers now I mentioned that you have to meet the AR criteria and this is really what it is so the first two bits are ensuring that you have the expertise and the experience to actually do the analysis and work with these data so they ask for information about whether you have an undergraduate degree or higher which includes a significant proportion of maths or statistics or alternatively you can demonstrate at least three years quantitative research experience then the other parts of the criteria is that you have to complete the safe research training course agree as I say to your inclusion on the list of AR researchers there is the criteria that you need to agree to publish the results completed through this scheme and you have to sign and adhere to a formal accredited researcher declaration so that's kind of it now the safe researcher training is designed around the basis that using sensitivity of control data is pretty much all about common sense so if you've got a bit of common sense you're going to be absolutely fine however there are some bits of specific knowledge that you will need around disclosure risk and how to mitigate it and a lot of researchers unless they've had this experience of working with control data will not have that specific knowledge so that's why we train you it's a short course at the moment thanks to covid it's online and it lasts about three three and a half hours and that kind of depends on the group really if we have a larger group and we get a lot more questions it will last a little bit longer the course itself will introduce you to the wider context so looking at understanding data access looking at the five safe framework which you may or may not be familiar with how things might go wrong with data access and we talk about this concept of safe people and then we'll introduce the technical knowledge and this is all around statistical disclosure control which is the process of ensuring that survey participants are not identifiable in the publication of research outputs attendees need to take and pass an online test afterwards now the good news is we have an extremely high pass rate so it's not anything to really get too concerned about but you do need to pass this test okay so that's all about you as a researcher and then the second stage of the process is to have your research project accredited now as Ellen mentioned all project applications have to be approved by the data governance board and i'm going to introduce you to the board and what they do in just a second i'm going to cover some top tips about completing project applications but i will say this off the bat they have to be thoroughly completed and i'm going to dig into that a little bit more um in just a few minutes in particular you will need to play close attention to how you're meeting the public good and also providing evidence of ethical approval now you should all be doing this at your institution level anyway so this should be familiar territory but i am going to just cover ethics a little bit more right at the end now sir has its own data governance board and they are a group of highly experienced researchers and data professionals with a vast amount of expertise and it is their job to review and approve applications and their aim is to do that through transparency and fairness now data governance boards sometimes they're also referred to as data access committees but they tend to follow a very similar design so they'll have a panel membership that will have experienced researchers stakeholders they'll have a secretary out some will have lay members some won't but they will all meet periodically and it's most commonly monthly now some of the data access committees that i sit on have been going for many years and some of them will have a system of precedence for common project types so some will have a system where projects may not need to go to a full board review but that tends to be only committees and boards that have been going for a considerable period of time and their job essentially is to consider this is what you're proposing an appropriate use of the data is it legal is it ethical is it feasible and that's kind of it now you will have to provide a set of materials for the panel which as a minimum will consist of your project application and your ethics assessments it may be that there are other supporting materials that are appropriate but that's not in every case the outcomes that are possible from a review by the data governance board is full approval it might be that they give you a conditional approval but they will come back and ask for a little bit more information or clarification or some amendments they do also have the option to reject applications that's not a very common option the majority will go through either with full approval or conditional approval now the uk data service we have a role in this process and our role is to triage all of your applications before they go to the data governance board and our role our aim is to make sure that every single application that goes to the board is of the highest possible quality so that they all get through with full approval at first review that's kind of our aim so when you're applying you will deal with with us at the uk ds and we will guide you through the application process we'll give you any guidance on whether you can improve your application whether there's anything missing so you know we'll work with you throughout that process so my top tips for a successful project application which is approved at first review and i alluded to this earlier but my number one tip above all else is detail detail detail i see a lot of applications where researchers miss sections of the form and unfortunately we can't submit incomplete project applications to the board they would be rather annoyed with us if we did that it's important to realise that you're the board will very very closely scrutinise what you plan to do because they have to make it an informed decision so make sure everything is completed if there's something that's not applicable to you make a note of that that's absolutely fine but don't go leaving chunks of the form blank the second and third tip really go hand in hand and this again is about detail and about clarity please make sure that you have outlined a clear research proposal whether that's having a set of specific research questions or a very clearly defined aim the more detail the better is the watch word here the same goes for the methodology you will be asked to to outline your methodology now you may not have worked out all the details but you should at least have a plan of how you're going to get started and both of these need to apply the first tip detail detail detail the next tip is to make sure you've included details of all of the data you need a common error I think is for somebody just to put something very broad like cell data you need to be more specific so if it's data from the UKDS catalogue put the study number so that'll be SN and four digits the clearer you are here the easier it is for us to process your application let's talk about public good now this is absolutely fundamental and it's something that the the board will pay close attention to my top tip here is don't over promise we are not expecting to solve the world's problems so don't promise that you're going to do that it's more likely that what you're going to be doing is adding to the existing evidence base or extending our understanding of a particular issue and they are absolutely perfectly valid you know we've we see the odd application form where somebody might put I'm going to solve this issue and and the board tend to be a little bit unsure about whether that's really feasible for a research project so be realistic and don't over promise the other thing is allow enough time and I mean this in two ways the first is don't try and throw out the application forming five minutes again you know don't spend day in day out but make sure you spend a little bit of time doing it well first time the other thing is you are asked to say when you think the project is going to finish and it's a common it's a common habit to be a little bit over optimistic about how long you think your project will take always allow a little bit longer than you think because life happens and you know deadlines get pushed back my final top tip again is take time over your ethics form and I'm going to talk about ethics now and ethics forms can be surprisingly tricky I think now you will be used to doing institutional ethics forms and that is part of the application process so we need to see evidence that you have gained institutional approval we also need to see a UK statistics authority ethics self-assessment form now the UK stats authority are really pushing forward with their ethics agenda now and they've developed a fantastic self-assessment tool and their hope is that they have designed an easy to use framework which enables you as researchers to review the ethics of your project for yourself there are six main principles and we can see public good training legal gateways all of the sort of things we've talked about this afternoon they're all part of this ethics assessment each of these six principles are broken down into a number of items and there are 22 in total if you haven't had to complete one of these before it is essentially an excel spreadsheet which looks a little bit like this screenshot you can see on the screen and essentially what you have to do is for each of the 22 items you have to give your project a score and then you have to provide a justification for why you've given it that score and the spreadsheet will automatically calculate an overall score and the data governance board will pay close attention to this I have to say that some of the items are more self-explanatory than others others are a little less clear I think and they tend to catch researchers on the back foot so the first one we can see on the screen is public benefit and I think most people will find that fairly self-explanatory but some of the others like potential harm can catch people off guard so my top tips here is read the guidance given by the UK stats authority and I've put the link to that at the bottom of this slide so when you make when you access the slides after the event you can just click on that link and go to the guidance if you are unfamiliar with this framework I would recommend you have a scan through the guidance first the reason being is it will explain each of the items and it will also give you suggestions of the sort of things that you can write for your justification and I can't stress that enough and I think once you've done one or two of these they become you know quite a straightforward process but they can be a bit tricky first off I think the common errors that I see with these are that people are not really understanding what the item is getting at so their justification doesn't quite address the right issue you will need to demonstrate careful consideration of each item you don't have to write an essay for each one you know a sentence can be more than sufficient but you have to demonstrate this careful consideration the other thing I want to mention which I think is is unique to the cell project to a degree is that we have researchers who work on the cell project with the data collection as well as working on the analysis of the data and it's a common thing that the researchers when they're complete in the ethics form will conflate the two and they'll answer the the items on the ethics form about the data collection and they shouldn't it's just focusing on the analysis of the data so that's really all I want to cover this afternoon hopefully that will break down the process and and take some of the mystery out of it and help you to put together an application which whizzes through review on the first first go


This paper presents the largest database of atomically precise nanoclusters ever created, containing over 63,000 structures and properties calculated from AB Inicio methods. The authors identify clusters for 593 previously unreported low-energy structures, and provide access to the database for further research and development of nanocluster-based technologies. This article was authored by Sukriti Manor, Yinja Wang, Alberto Hernandez, and others.


Hello everyone, I'm Noah Schneider coming to you from the SiliconANGLE News Desk powered by theCUBE. Today's story, Dell Technologies and NVIDIA have announced Project Helix, a joint initiative to enable companies to run generative AI software in their own on-premise data centers. The project offers validated designs featuring Dell servers equipped with management tools, NVIDIA chips, and software optimized for AI training and inference. The collaboration aims to provide scalable and efficient infrastructure for enterprises to leverage their data securely for generative AI applications. The integration of NVIDIA's latest GPU, the H100, accelerates AI model training by up to nine times. The initiative enables enterprises to harness their data effectively and derive value from underutilized resources. From the SiliconANGLE News Desk powered by theCUBE, I'm Noah Schneider. Thanks for joining us.


This study found that the prototype device used to measure tongue force had a strong correlation, are greater than 0.97, and an excellent reliability, ICC 0.90, when compared to the algometer. Additionally, the inter-rater reliability analysis showed an excellent ICC, 0.93, with a 95% CI of 0.86 to 0.97 and a MDC 90 of 6.26n. Therefore, the results suggest that the prototype device can be used as a reliable tool for measuring tongue force in clinical settings. This article was authored by Marta Carlotta di Assais, Hector Beltranalacra, Javier Gilcastillo, and others.