math Greater Allegheny faculty member honored for advancing women in mathematics By www.psu.edu Published On :: Fri, 09 Aug 2024 09:00:00 -0400 Kuei-Nuan Lin, associate professor of mathematics at Penn State Greater Allegheny, has been awarded the 2025 Association for Women in Mathematics (AWM) Service Award for her exceptional leadership in advancing women in mathematics. Her contributions, including leading the AWM Mentor Network Program and serving in various committee roles, highlight her dedication to supporting women in the field. Full Article
math Remembering Terry Allison, who taught mathematics for 50 years By www.psu.edu Published On :: Fri, 14 Jun 2024 08:30:47 -0400 Terry Allison dedicated 50 years of his mathematics career to teaching at Penn State York. The campus community was saddened to learn of his passing on May 22, shortly after he retired from the University. Full Article
math Combining Literacy and Math Skills Through Thinking Logs (Video) By blogs.edweek.org Published On :: Wed, 04 Oct 2017 00:00:00 +0000 Thinking logs incorporate both literacy and math skills by asking students to write complete sentences explaining how they solved an equation and arrived at a solution. Full Article Elementaryschools
math Teaching Math: Reasoning About Addition (Video) By blogs.edweek.org Published On :: Wed, 12 Apr 2017 00:00:00 +0000 Ryan Reilly, a 1st grade teacher at White Center Heights Elementary School in Seattle, shares how he uses related equations so students can identify similarities and differences in numbers and symbols. By noticing patterns, they learn to justify their reasons and can then solve similar problems. Full Article Elementaryschools
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math A Classroom Strategy for Math: Have Students 'Notice and Wonder' (Video) By blogs.edweek.org Published On :: Wed, 31 Jan 2018 00:00:00 +0000 This elementary routine encourages students to make sense of a math problem by listing what they both notice and wonder about the given information. Full Article Elementaryschools
math Counting Collections With Preschoolers: An Early-Learning Math Strategy (Video) By blogs.edweek.org Published On :: Wed, 23 May 2018 00:00:00 +0000 See how one preschool teacher helps her students learn how to count collections of objects. Full Article Elementaryschools
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math Storytime, Meet Number Play: Early Math in the Home Matters for Later Skills By blogs.edweek.org Published On :: Mon, 10 Feb 2020 00:00:00 +0000 Preschool-age children who frequently play number-related games at home show better math skills and growth by the end of kindergarten, finds a new study in the journal Child Development. Full Article Parentinvolvement
math Epoch AI Launches FrontierMath AI Benchmark to Test Capabilities of AI Models By www.gadgets360.com Published On :: Tue, 12 Nov 2024 18:47:50 +0530 Epoch AI, a California-based research institute launched a new artificial intelligence (AI) benchmark last week. Dubbed FrontierMath, the new AI benchmark tests large language models (LLMs) on their capability of reseasoning and mathematical problem-solving. The AI firm claims that existing math benchmarks are not very useful due to factors like data contamination and AI models scoring very high scores on them. Full Article
math Nandan Nilekani, Nikhil Kamath On Forbes Asia Heroes Of Philanthropy List By www.ndtv.com Published On :: Thu, 30 Nov 2023 13:41:04 +0530 Nandan Nilekani, co-founder of Infosys, KP Singh, chairman emeritus at DLF, and Nikhil Kamath, co-founder of Zerodha, have been named on the 17th edition of Forbes Asia's Heroes of Philanthropy list released today. Full Article
math 1542 Secondary Mathematics Teacher By regulations.delaware.gov Published On :: Thu, 03 Oct 2024 11:37:59 EDT DEPARTMENT OF EDUCATION: Professional Standards Board Full Article proposed
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math Science, Technology, Engineering and Mathematics in Secondary Education Project By www.adb.org Published On :: 2025 1. Output 1: Quality of STEM education with support of technology improved. Full Article
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math "Steroids in severe community-acquired pneumonia". S. Ananth, A.G. Mathioudakis, J. Hansel. Breathe 2024; 20: 240081. By breathe.ersjournals.com Published On :: 2024-11-12T00:25:08-08:00 Full Article
math ESA prepares Hera mission to investigate aftermath of NASA DART impact By www.newscientist.com Published On :: Mon, 19 Feb 2024 11:48:51 +0000 The European Space Agency's Hera spacecraft must be thoroughly tested before being sent to investigate the aftermath of the collision of NASA's DART probe with Dimorphos Full Article
math A skilful primer makes sense of the mathematics beneath AI's hood By www.newscientist.com Published On :: Wed, 24 Jul 2024 19:00:00 +0100 Anil Ananthaswamy's Why Machines Learn: The elegant maths behind modern AI explores the mechanics of the AI revolution, but doesn't examine its ethics Full Article
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math Meta AI tackles maths problems that stumped humans for over a century By www.newscientist.com Published On :: Tue, 22 Oct 2024 17:00:58 +0100 A type of mathematical problem that was previously impossible to solve can now be successfully analysed with artificial intelligence Full Article
math Hurricane Helene Battered the 'Salamander Capital of the World' With Floods and Landslides. Will the Beloved Amphibians Survive the Aftermath? By www.smithsonianmag.com Published On :: Thu, 07 Nov 2024 13:00:00 +0000 The storm decimated a region rich with dozens of species already struggling with habitat loss and disease Full Article
math New secret math benchmark stumps AI models and PhDs alike By arstechnica.com Published On :: Tue, 12 Nov 2024 22:49:58 +0000 FrontierMath's difficult questions remain unpublished so that AI companies can't train against it. Full Article AI Biz & IT AI benchmarks Anthropic benchmarks Claude 3.5 Epoch AI FrontierMath google GPT-4o large language models machine learning o1-preview openai research papers vibemarks
math Team at Kolkata institute engineers bacteria to solve maths problems - The Hindu By news.google.com Published On :: Wed, 13 Nov 2024 00:00:00 GMT Team at Kolkata institute engineers bacteria to solve maths problems The Hindu Full Article
math Republican Euphoria Punctured by Tough Math in House... By www.wsj.com Published On :: 2024-11-13T06:19:36Z Republican Euphoria Punctured by Tough Math in House... (Top headline, 1st story, link) Related stories:WILL WHITE HOUSE RESULTS STAY ABOVER 50%? DEVELOPING...From 'Little Marco' to 'Mr Secretary': Rubio In Spotlight... Drudge Report Feed needs your support! Become a Patron Full Article
math New Prime Number, 41 Million Digits Long, Breaks Math Records By www.scientificamerican.com Published On :: Fri, 01 Nov 2024 15:30:00 +0000 The discovery of a new prime number highlights the rising price of mathematical gold Full Article
math Questionable Enrollment Math at the UK's NIHR By www.placebocontrol.com Published On :: Mon, 16 Sep 2013 18:04:00 +0000 There has been considerable noise coming out of the UK lately about successes in clinical trial enrollment. First, a couple months ago came the rather dramatic announcement that clinical trial participation in the UK had "tripled over the last 6 years". That announcement, by the chief executive of the Sweet creature of bombast: is Sir John writing press releases for the NIHR? National Institute of Health Research's Clinical Research Network, was quickly and uncritically picked up by the media. That immediately caught my attention. In large, global trials, most pharmaceutical companies I've worked with can do a reasonable job of predicting accrual levels in a given country. I like to think that if participation rates in any given country had jumped that heavily, I’d have heard something. (To give an example: looking at a quite-typical study I worked on a few years ago: UK sites were overall slightly below the global average. The highest-enrolling countries were about 2.5 times as fast. So, a 3-fold increase in accruals would have catapulted the UK from below average to the fastest-enrolling country in the world.) Further inquiry, however, failed to turn up any evidence that the reported tripling actually corresponded to more human beings enrolled in clinical trials. Instead, there is some reason to believe that all we witnessed was increased reporting of trial participation numbers. Now we have a new source of wonder, and a new giant multiplier coming out of the UK. As the Director of the NIHR's Mental Health Research Network, Til Wykes, put it in her blog coverage of her own paper: Our research on the largest database of UK mental health studies shows that involving just one or two patients in the study team means studies are 4 times more likely to recruit successfully. Again, amazing! And not just a tripling – a quadrupling! Understand: I spend a lot of my time trying to convince study teams to take a more patient-focused approach to clinical trial design and execution. I desperately want to believe this study, and I would love having hard evidence to bring to my clients. At first glance, the data set seems robust. From the King's College press release: Published in the British Journal of Psychiatry, the researchers analysed 374 studies registered with the Mental Health Research Network (MHRN). Studies which included collaboration with service users in designing or running the trial were 1.63 times more likely to recruit to target than studies which only consulted service users. Studies which involved more partnerships - a higher level of Patient and Public Involvement (PPI) - were 4.12 times more likely to recruit to target. But here the first crack appears. It's clear from the paper that the analysis of recruitment success was not based on 374 studies, but rather a much smaller subset of 124 studies. That's not mentioned in either of the above-linked articles. And at this point, we have to stop, set aside our enthusiasm, and read the full paper. And at this point, critical doubts begin to spring up, pretty much everywhere. First and foremost: I don’t know any nice way to say this, but the "4 times more likely" line is, quite clearly, a fiction. What is reported in the paper is a 4.12 odds ratio between "low involvement" studies and "high involvement" studies (more on those terms in just a bit). Odds ratios are often used in reporting differences between groups, but they are unequivocally not the same as "times more likely than". This is not a technical statistical quibble. The authors unfortunately don’t provide the actual success rates for different kinds of studies, but here is a quick example that, given other data they present, is probably reasonably close: A Studies: 16 successful out of 20 Probability of success: 80% Odds of success: 4 to 1 B Studies: 40 successful out of 80 Probability of success: 50% Odds of success: 1 to 1 From the above, it’s reasonable to conclude that A studies are 60% more likely to be successful than B studies (the A studies are 1.6 times as likely to succeed). However, the odds ratio is 4.0, similar to the difference in the paper. It makes no sense to say that A studies are 4 times more likely to succeed than B studies. This is elementary stuff. I’m confident that everyone involved in the conduct and analysis of the MHRN paper knows this already. So why would Dr Wykes write this? I don’t know; it's baffling. Maybe someone with more knowledge of the politics of British medicine can enlighten me. If a pharmaceutical company had promoted a drug with this math, the warning letters and fines would be flying in the door fast. And rightly so. But if a government leader says it, it just gets recycled verbatim. The other part of Dr Wykes's statement is almost equally confusing. She claims that the enrollment benefit occurs when "involving just one or two patients in the study team". However, involving one or two patients would seem to correspond to either the lowest ("patient consultation") or the middle level of reported patient involvement (“researcher initiated collaboration”). In fact, the "high involvement" categories that are supposed to be associated with enrollment success are studies that were either fully designed by patients, or were initiated by patients and researchers equally. So, if there is truly a causal relationship at work here, improving enrollment would not be merely a function of adding a patient or two to the conversation. There are a number of other frustrating aspects of this study as well. It doesn't actually measure patient involvement in any specific research program, but uses just 3 broad categories (that the researchers specified at the beginning of each study). It uses an arbitrary and undocumented 17-point scale to measure "study complexity", which collapses and quite likely underweights many critical factors into a single number. The enrollment analysis excluded 11 studies because they weren't adequate for a factor that was later deemed non-significant. And probably the most frustrating facet of the paper is that the authors share absolutely no descriptive data about the studies involved in the enrollment analysis. It would be completely impossible to attempt to replicate its methods or verify its analysis. Do the authors believe that "Public Involvement" is only good when it’s not focused on their own work? However, my feelings about the study and paper are an insignificant fraction of the frustration I feel about the public portrayal of the data by people who should clearly know better. After all, limited evidence is still evidence, and every study can add something to our knowledge. But the public misrepresentation of the evidence by leaders in the area can only do us harm: it has the potential to actively distort research priorities and funding. Why This Matters We all seem to agree that research is too slow. Low clinical trial enrollment wastes time, money, and the health of patients who need better treatment options. However, what's also clear is that we lack reliable evidence on what activities enable us to accelerate the pace of enrollment without sacrificing quality. If we are serious about improving clinical trial accrual, we owe it to our patients to demand robust evidence for what works and what doesn’t. Relying on weak evidence that we've already solved the problem ("we've tripled enrollment!") or have a method to magically solve it ("PPI quadrupled enrollment!") will cause us to divert significant time, energy, and human health into areas that are politically favored but less than certain to produce benefit. And the overhyping those results by research leadership compounds that problem substantially. NIHR leadership should reconsider its approach to public discussion of its research, and practice what it preaches: critical assessment of the data. [Update Sept. 20: The authors of the study have posted a lengthy comment below. My follow-up is here.] [Image via flikr user Elliot Brown.] Ennis L, & Wykes T (2013). Impact of patient involvement in mental health research: longitudinal study. The British journal of psychiatry : the journal of mental science PMID: 24029538 Full Article NIHR patient recruitment trial delays UK trials
math Questionable Enrollment Math(s) - the Authors Respond By www.placebocontrol.com Published On :: Fri, 20 Sep 2013 04:09:00 +0000 The authors of the study I blogged about on Monday were kind enough to post a lengthy comment, responding in part to some of the issues I raised. I thought their response was interesting, and so reprint it in its entirety below, interjecting my own reactions as well. There were a number of points you made in your blog and the title of questionable maths was what caught our eye and so we reply on facts and provide context. Firstly, this is a UK study where the vast majority of UK clinical trials take place in the NHS. It is about patient involvement in mental health studies - an area where recruitment is difficult because of stigma and discrimination. I agree, in hindsight, that I should have titled the piece “questionable maths” rather than my Americanized “questionable math”. Otherwise, I think this is fine, although I’m not sure that anything here differs from my post. 1. Tripling of studies - You dispute NIHR figures recorded on a national database and support your claim with a lone anecdote - hardly data that provides confidence. The reason we can improve recruitment is that NIHR has a Clinical Research Network which provides extra staff, within the NHS, to support high quality clinical studies and has improved recruitment success. To be clear, I did not “dispute” the figures so much as I expressed sincere doubt that those figures correspond with an actual increase in actual patients consenting to participate in actual UK studies. The anecdote explains why I am skeptical – it's a bit like I've been told there was a magnitude 8 earthquake in Chicago, but neither I nor any of my neighbors felt anything. There are many reasons why reported numbers can increase in the absence of an actual increase. It’s worth noting that my lack of confidence in the NIHR's claims appears to be shared by the 2 UK-based experts quoted by Applied Clinical Trials in the article I linked to. 2. Large database: We have the largest database of detailed study information and patient involvement data - I have trawled the world for a bigger one and NIMH say there certainly isn't one in the USA. This means few places where patient impact can actually be measured 3. Number of studies: The database has 374 studies which showed among other results that service user involvement increased over time probably following changes by funders e.g. NIHR requests information in the grant proposal on how service users have been and will be involved - one of the few national funders to take this issue seriously. As far as I can tell, neither of these points is in dispute. 4. Analysis of patient involvement involves the 124 studies that have completed. You cannot analyse recruitment success unless then. I agree you cannot analyze recruitment success in studies that have not yet completed. My objection is that in both the KCL press release and the NIHR-authored Guardian article, the only number mentioned in 374, and references to the recruitment success findings came immediately after references to that number. For example: Published in the British Journal of Psychiatry, the researchers analysed 374 studies registered with the Mental Health Research Network (MHRN). Studies which included collaboration with service users in designing or running the trial were 1.63 times more likely to recruit to target than studies which only consulted service users. Studies which involved more partnerships - a higher level of Patient and Public Involvement (PPI) - were 4.12 times more likely to recruit to target. The above quote clearly implies that the recruitment conclusions were based on an analysis of 374 studies – a sample 3 times larger than the sample actually used. I find this disheartening. The complexity measure was developed following a Delphi exercise with clinicians, clinical academics and study delivery staff to include variables likely to be barriers to recruitment. It predicts delivery difficulty (meeting recruitment & delivery staff time). But of course you know all that as it was in the paper. Yes, I did know this, and yes, I know it because it was in the paper. In fact, that’s all I know about this measure, which is what led me to characterize it as “arbitrary and undocumented”. To believe that all aspects of protocol complexity that might negatively affect enrollment have been adequately captured and weighted in a single 17-point scale requires a leap of faith that I am not, at the moment, able to make. The extraordinary claim that all complexity issues have been accounted for in this model requires extraordinary evidence, and “we conducted a Delphi exercise” does not suffice. 6. All studies funded by NIHR partners were included – we only excluded studies funded without peer review, not won competitively. For the involvement analysis we excluded industry studies because of not being able to contact end users and where inclusion compromised our analysis reliability due to small group sizes. It’s only that last bit I was concerned about. Specifically, the 11 studies that were excluded due to being in “clinical groups” that were too small, despite the fact that “clinical groups” appear to have been excluded as non-significant from the final model of recruitment success. (Also: am I being whooshed here? In a discussion of "questionable math" the authors' enumeration goes from 4 to 6. I’m going to take the miscounting here as a sly attempt to see if I’m paying attention...) I am sure you are aware of the high standing of the journal and its robust peer review. We understand that our results must withstand the scrutiny of other scientists but many of your comments were unwarranted. This is the first in the world to investigate patient involvement impact. No other databases apart from the one held by the NIHR Mental Health Research Network is available to test – we only wish they were. I hope we can agree that peer review – no matter how "high standing" the journal – is not a shield against concern and criticism. Despite the length of your response, I’m still at a loss as to which of my comments specifically were unwarranted. In fact, I feel that I noted very clearly that my concerns about the study’s limitations were minuscule compared to my concerns about the extremely inaccurate way that the study has been publicized by the authors, KCL, and the NIHR. Even if I conceded every possible criticism of the study itself, there remains the fact that in public statements, you Misstated an odds ratio of 4 as “4 times more likely to” Overstated the recruitment success findings as being based on a sample 3 times larger than it actually was Re-interpreted, without reservation, a statistical association as a causal relationship Misstated the difference between the patient involvement categories as being a matter of merely “involving just one or two patients in the study team” And you did these consistently and repeatedly – in Dr Wykes's blog post, in the KCL press release, and in the NIHR-written Guardian article. To use the analogy from my previous post: if a pharmaceutical company had committed these acts in public statements about a new drug, public criticism would have been loud and swift. Your comment on the media coverage of odds ratios is an issue that scientists need to overcome (there is even a section in Wikipedia). It's highly unfair to blame "media coverage" for the use of an odds ratio as if it were a relative risk ratio. In fact, the first instance of "4 times more likely" appears in Dr Wykes's own blog post. It's repeated in the KCL press release, so you yourselves appear to have been the source of the error. You point out the base rate issue but of course in a logistic regression you also take into account all the other variables that may impinge on the outcome prior to assessing the effects of our key variable patient involvement - as we did – and showed that the odds ratio is 4.12 - So no dispute about that. We have followed up our analysis to produce a statement that the public will understand. Using the following equations: Model predicted recruitment lowest level of involvement exp(2.489-.193*8.8-1.477)/(1+exp(2.489-.193*8.8-1.477))=0.33 Model predicted recruitment highest level of involvement exp(2.489-.193*8.8-1.477+1.415)/(1+exp(2.489-.193*8.8-1.477+1.415)=0.67 For a study of typical complexity without a follow up increasing involvement from the lowest to the highest levels increased recruitment from 33% to 66% i.e. a doubling. So then, you agree that your prior use of “4 times more likely” was not true? Would you be willing to concede that in more or less direct English? This is important and is the first time that impact has been shown for patient involvement on the study success. Luckily in the UK we have a network that now supports clinicians to be involved and a system for ensuring study feasibility. The addition of patient involvement is the additional bonus that allows recruitment to increase over time and so cutting down the time for treatments to get to patients. No, and no again. This study shows an association in a model. The gap between that and a causal relationship is far too vast to gloss over in this manner. In summary, I thank the authors for taking the time to response, but I feel they've overreacted to my concerns about the study, and seriously underreacted to my more important concerns about their public overhyping of the study. I believe this study provides useful, though limited, data about the potential relationship between patient engagement and enrollment success. On the other hand, I believe the public positioning of the study by its authors and their institutions has been exaggerated and distorted in clearly unacceptable ways. I would ask the authors to seriously consider issuing public corrections on the 4 points listed above. Full Article NIHR patient recruitment trial delays UK trials
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math Error'd: Alternative Maths By thedailywtf.com Published On :: Fri, 01 Nov 2024 06:30:00 GMT "Check out Visual Studio optimizing their rating system to only include the ratings used," shared Fiorenzo R. Imagine the performance gain! "This sounds about right," says Colin A. "Wow! Must snap up some sweet Anker kit with this amazing offer; but less than four days to go!" exclaims Dave L., who then goes on to explain "The actual WTF is this though. I sent this image to Anker with this email: But only 3days left? I hope this offer continues! Anker replied: Thank you for your feedback! I understand that you appreciate the savings on the Anker SOLIX PS100 Portable Solar Panel and wish the offer could be extended beyond the current 3-day limit. Your suggestion is valuable and will be considered for future promotions to enhance customer satisfaction. If you have any other requests or need further assistance, please let me know. I for one welcome our new AI overlords. " Graham F. almost stashed this away for later. "Looks like Dropbox could use a few lessons in how to do Maths! Although maybe their definition of 'almost' differs from mine." Finally Joshua found time to report a brand-new date-handling bug. "Teams is so buggy; this one just takes the cake. I had to check with the unix cal program to make sure I wasn't completely bonkers." For the readers, November 8 this year is supposed to be a Friday. I suppose things could change after the US election. Have a great weekend. Maybe I'll see you next Friday, or maybe all the weekdays will be renamed Thursday. [Advertisement] Plan Your .NET 9 Migration with ConfidenceYour journey to .NET 9 is more than just one decision.Avoid migration migraines with the advice in this free guide. Download Free Guide Now! Full Article Error'd
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math Red Lobster's Endless Shrimp Deal Is Never Coming Back Because Its New CEO Knows 'How to Do Math' By www.entrepreneur.com Published On :: Tue, 12 Nov 2024 19:52:02 GMT New CEO Damola Adamolekun is making changes, including adding new (and old) items to the menu. Full Article false
math Lavanya Hiremath: ನಾದಿನಿ ವಿಧಿ ಮದುವೆಗೆ ಅತ್ತಿಗೆ ಲಕ್ಷ್ಮೀ ಮಿಸ್ಸಿಂಗ್! By kannada.filmibeat.com Published On :: Mon, 11 Nov 2024 21:03:57 +0530 ಡೆಂಟಲ್ ಡಾಕ್ಟರ್ ಆಗಿದ್ರು ಕೂಡ ಲಾವಣ್ಯ ನಟನೆಗೆ ಹೆಚ್ಚು ಒತ್ತು ಕೊಟ್ಟವರು. ಆಕ್ಟರ್ ಆಗಿ ಜೊತೆಗೆ ತಮ್ಮ ವೃತ್ತಿಯನ್ನು ನಿಭಾಯಿಸುತ್ತಿದ್ದರು. 'ಲಕ್ಷ್ಮೀ ಬಾರಮ್ಮ' ಧಾರಾವಾಹಿಯಲ್ಲಿ ಮುದ್ದಿನ ಮಗಳಾಗಿ, ವೈಷ್ಣವ್ಗೆ ಮುದ್ದಿನ ತಂಗಿಯಾಗಿದ್ದಾಳೆ ವಿಧಿ. ಆದರೆ ಅತ್ತಿಗೆ ಕಂಡರೆ ಅಷ್ಟಕ್ಕಷ್ಟೆ. ಸದಾ ಕಿತ್ತಾಡುತ್ತಲೇ ಇರುತ್ತಾಳೆ. ವಿಧಿ ಸೀರಿಯಲ್ನಲ್ಲಿ ಸ್ಟೈಲ್ ಐಕಾನ್. ಪ್ರೀತಿ, ಗೀತಿ ಅಂತ ಮಾಡಿ ಹಾದಿ ತಪ್ಪೋದು Full Article
math Explosion at Mathura Refinery Injures At Least 10 Workers, Four in Critical Condition By www.oneindia.com Published On :: Tue, 12 Nov 2024 23:33:18 +0530 A significant explosion at Indian Oil Corporation's Mathura refinery injured at least 10 workers, with four in critical condition. Eyewitnesses reported flames visible from afar. Full Article