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Treadmill, exercise bike, rowing machine: what’s the best option for cardio at home?

<p><em><a href="https://theconversation.com/profiles/lewis-ingram-1427671">Lewis Ingram</a>, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a>; <a href="https://theconversation.com/profiles/hunter-bennett-1053061">Hunter Bennett</a>, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a>, and <a href="https://theconversation.com/profiles/saravana-kumar-181105">Saravana Kumar</a>, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a></em></p> <p>Cardio, short for cardiovascular exercise, refers to any form of rhythmic physical activity that increases your heart rate and breathing so the heart and lungs can deliver oxygen to the working muscles. Essentially, it’s the type of exercise that gets you huffing and puffing – and fills many people with dread.</p> <p>People often do cardio to <a href="https://pubmed.ncbi.nlm.nih.gov/30003901/">lose weight</a>, but it’s associated with a variety of health benefits including reducing the risk of <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6481017/">heart disease</a>, <a href="https://pubmed.ncbi.nlm.nih.gov/30191075/">stroke</a> and <a href="https://pubmed.ncbi.nlm.nih.gov/27707740/">falls</a>. Research shows cardio also improves <a href="https://pubmed.ncbi.nlm.nih.gov/29334638/">cognitive function</a> and <a href="https://pubmed.ncbi.nlm.nih.gov/26978184/">mental health</a>.</p> <p>The <a href="https://www.who.int/news-room/fact-sheets/detail/physical-activity">World Health Organization</a> recommends a minimum of 150 minutes of moderate-intensity or 75 minutes of vigorous-intensity cardio per week.</p> <p>There are many ways to do cardio, from playing a team sport, to riding your bike to work, to going for a jog. If you’re willing and able to invest in a piece of equipment, you can also do cardio at home.</p> <p>The treadmill, stationary bike and rowing machine are the most popular pieces of cardio equipment you’ll find in a typical gym, and you can buy any of these for your home too. Here’s how to know which one is best for you.</p> <h2>The treadmill</h2> <p>In terms of effectiveness of exercise, it’s hard to look past the treadmill. Running uses most of your major muscle groups and therefore leads to greater increases in <a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1334197/">heart rate</a> and energy expenditure compared to other activities, such as cycling.</p> <p>As a bonus, since running on a treadmill requires you to support your own body weight, it also helps to build and maintain <a href="https://pubmed.ncbi.nlm.nih.gov/26562001/">your bones</a>, keeping them strong. This becomes even more important <a href="https://www.niams.nih.gov/health-topics/exercise-your-bone-health">as you get older</a> as the risk of developing medical conditions such as osteopenia and osteoporosis – where the density of your bones is reduced – increases.</p> <p>But the treadmill may not be for everyone. The weight-bearing nature of running may exacerbate pain and cause swelling in people with common joint conditions such as osteoarthritis.</p> <p>Also, a treadmill is likely to require greater maintenance (since most treadmills are motorised), and can take up a lot of space.</p> <h2>Stationary bike</h2> <p>The stationary bike provides another convenient means to hit your cardio goals. Setting the bike up correctly is crucial to ensure you are comfortable and to reduce the risk of injury. A general rule of thumb is that you want a slight bend in your knee, as in the picture below, when your leg is at the bottom of the pedal stroke.</p> <p>While cycling has significant benefits for <a href="https://pubmed.ncbi.nlm.nih.gov/21496106/">cardiovascular</a> and metabolic health, since it’s non-weight-bearing it doesn’t benefit your <a href="https://www.sciencedirect.com/science/article/pii/S0026049507003253">bones</a> to the same extent as walking and running. On the flipside, it offers a great cardio workout without stressing your joints.</p> <h2>Rowing machine</h2> <p>If you’re looking to the get the best cardio workout in the least amount of time, the rowing machine might be for you. Because rowing requires you to use all of your major muscle groups including the upper body, your heart and lungs have to work even harder than they do when <a href="https://pubmed.ncbi.nlm.nih.gov/32627051/">running and cycling</a> to <a href="https://pubmed.ncbi.nlm.nih.gov/8325720/">deliver oxygen</a> to those working muscles. This means the energy expended while rowing is comparable to running and <a href="https://pubmed.ncbi.nlm.nih.gov/3193864/">greater than cycling</a>.</p> <p>But before you rush off to buy a new rower, there are two issues to consider. First, the technical challenge of rowing is arguably greater than that of running or cycling, as the skill of rowing is often less familiar to the average person. While a coach or trainer can help with this, just remember a good rowing technique should be felt primarily in your legs, not your arms and back.</p> <p>Second, the non-weight-bearing nature of rowing means it misses out on the same bone health benefits offered by the treadmill – although there is some evidence it still can increase bone density <a href="https://pubmed.ncbi.nlm.nih.gov/7551766/">to a smaller degree</a>. Nevertheless, like cycling, this drawback of rowing may be negated by offering a more joint-friendly option, providing a great alternative for those with joint pain who still want to keep their heart and lungs healthy.</p> <h2>So, what’s the best option?</h2> <p>It depends on your goals, what your current health status is, and, most importantly, what you enjoy the most. The best exercise is the one that gets done. So, choose whichever piece of equipment you find the most enjoyable, as this will increase the likelihood you’ll stick to it in the long term.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/213352/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /></p> <p><a href="https://theconversation.com/profiles/lewis-ingram-1427671"><em>Lewis Ingram</em></a><em>, Lecturer in Physiotherapy, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a>; <a href="https://theconversation.com/profiles/hunter-bennett-1053061">Hunter Bennett</a>, Lecturer in Exercise Science, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a>, and <a href="https://theconversation.com/profiles/saravana-kumar-181105">Saravana Kumar</a>, Professor in Allied Health and Health Services Research, <a href="https://theconversation.com/institutions/university-of-south-australia-1180">University of South Australia</a></em></p> <p><em>Image credits: Getty Images</em></p> <p><em>This article is republished from <a href="https://theconversation.com">The Conversation</a> under a Creative Commons license. Read the <a href="https://theconversation.com/treadmill-exercise-bike-rowing-machine-whats-the-best-option-for-cardio-at-home-213352">original article</a>.</em></p>

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The Galactica AI model was trained on scientific knowledge – but it spat out alarmingly plausible nonsense

<p>Earlier this month, Meta announced new AI software called <a href="https://galactica.org/">Galactica</a>: “a large language model that can store, combine and reason about scientific knowledge”.</p> <p><a href="https://paperswithcode.com/paper/galactica-a-large-language-model-for-science-1">Launched</a> with a public online demo, Galactica lasted only three days before going the way of other AI snafus like Microsoft’s <a href="https://www.theverge.com/2016/3/24/11297050/tay-microsoft-chatbot-racist">infamous racist chatbot</a>.</p> <p>The online demo was disabled (though the <a href="https://github.com/paperswithcode/galai">code for the model is still available</a> for anyone to use), and Meta’s outspoken chief AI scientist <a href="https://twitter.com/ylecun/status/1595353002222682112">complained</a> about the negative public response.</p> <blockquote class="twitter-tweet"> <p dir="ltr" lang="en">Galactica demo is off line for now.<br />It's no longer possible to have some fun by casually misusing it.<br />Happy? <a href="https://t.co/K56r2LpvFD">https://t.co/K56r2LpvFD</a></p> <p>— Yann LeCun (@ylecun) <a href="https://twitter.com/ylecun/status/1593293058174500865?ref_src=twsrc%5Etfw">November 17, 2022</a></p></blockquote> <p>So what was Galactica all about, and what went wrong?</p> <p><strong>What’s special about Galactica?</strong></p> <p>Galactica is a language model, a type of AI trained to respond to natural language by repeatedly playing a <a href="https://www.nytimes.com/2022/04/15/magazine/ai-language.html">fill-the-blank word-guessing game</a>.</p> <p>Most modern language models learn from text scraped from the internet. Galactica also used text from scientific papers uploaded to the (Meta-affiliated) website <a href="https://paperswithcode.com/">PapersWithCode</a>. The designers highlighted specialised scientific information like citations, maths, code, chemical structures, and the working-out steps for solving scientific problems.</p> <p>The <a href="https://galactica.org/static/paper.pdf">preprint paper</a> associated with the project (which is yet to undergo peer review) makes some impressive claims. Galactica apparently outperforms other models at problems like reciting famous equations (“<em>Q: What is Albert Einstein’s famous mass-energy equivalence formula? A: E=mc²</em>”), or predicting the products of chemical reactions (“<em>Q: When sulfuric acid reacts with sodium chloride, what does it produce? A: NaHSO₄ + HCl</em>”).</p> <p>However, once Galactica was opened up for public experimentation, a deluge of criticism followed. Not only did Galactica reproduce many of the problems of bias and toxicity we have seen in other language models, it also specialised in producing authoritative-sounding scientific nonsense.</p> <p><strong>Authoritative, but subtly wrong bullshit generator</strong></p> <p>Galactica’s press release promoted its ability to explain technical scientific papers using general language. However, users quickly noticed that, while the explanations it generates sound authoritative, they are often subtly incorrect, biased, or just plain wrong.</p> <blockquote class="twitter-tweet"> <p dir="ltr" lang="en">I entered "Estimating realistic 3D human avatars in clothing from a single image or video". In this case, it made up a fictitious paper and associated GitHub repo. The author is a real person (<a href="https://twitter.com/AlbertPumarola?ref_src=twsrc%5Etfw">@AlbertPumarola</a>) but the reference is bogus. (2/9) <a href="https://t.co/N4i0BX27Yf">pic.twitter.com/N4i0BX27Yf</a></p> <p>— Michael Black (@Michael_J_Black) <a href="https://twitter.com/Michael_J_Black/status/1593133727257092097?ref_src=twsrc%5Etfw">November 17, 2022</a></p></blockquote> <p>We also asked Galactica to explain technical concepts from our own fields of research. We found it would use all the right buzzwords, but get the actual details wrong – for example, mixing up the details of related but different algorithms.</p> <p>In practice, Galactica was enabling the generation of misinformation – and this is dangerous precisely because it deploys the tone and structure of authoritative scientific information. If a user already needs to be a subject matter expert in order to check the accuracy of Galactica’s “summaries”, then it has no use as an explanatory tool.</p> <p>At best, it could provide a fancy autocomplete for people who are already fully competent in the area they’re writing about. At worst, it risks further eroding public trust in scientific research.</p> <p><strong>A galaxy of deep (science) fakes</strong></p> <p>Galactica could make it easier for bad actors to mass-produce fake, fraudulent or plagiarised scientific papers. This is to say nothing of exacerbating <a href="https://www.theguardian.com/commentisfree/2022/nov/28/ai-students-essays-cheat-teachers-plagiarism-tech">existing concerns</a> about students using AI systems for plagiarism.</p> <p>Fake scientific papers are <a href="https://www.nature.com/articles/d41586-021-00733-5">nothing new</a>. However, peer reviewers at academic journals and conferences are already time-poor, and this could make it harder than ever to weed out fake science.</p> <p><strong>Underlying bias and toxicity</strong></p> <p>Other critics reported that Galactica, like other language models trained on data from the internet, has a tendency to spit out <a href="https://twitter.com/mrgreene1977/status/1593649978789941249">toxic hate speech</a> while unreflectively censoring politically inflected queries. This reflects the biases lurking in the model’s training data, and Meta’s apparent failure to apply appropriate checks around the responsible AI research.</p> <p>The risks associated with large language models are well understood. Indeed, an <a href="https://dl.acm.org/doi/10.1145/3442188.3445922">influential paper</a> highlighting these risks prompted Google to <a href="https://www.wired.com/story/google-timnit-gebru-ai-what-really-happened/">fire one of the paper’s authors</a> in 2020, and eventually disband its AI ethics team altogether.</p> <p>Machine-learning systems infamously exacerbate existing societal biases, and Galactica is no exception. For instance, Galactica can recommend possible citations for scientific concepts by mimicking existing citation patterns (“<em>Q: Is there any research on the effect of climate change on the great barrier reef? A: Try the paper ‘<a href="https://doi.org/10.1038/s41586-018-0041-2">Global warming transforms coral reef assemblages</a>’ by Hughes, et al. in Nature 556 (2018)</em>”).</p> <p>For better or worse, citations are the currency of science – and by reproducing existing citation trends in its recommendations, Galactica risks reinforcing existing patterns of inequality and disadvantage. (Galactica’s developers acknowledge this risk in their paper.)</p> <p>Citation bias is already a well-known issue in academic fields ranging from <a href="https://doi.org/10.1080/14680777.2018.1447395">feminist</a> <a href="https://doi.org/10.1093/joc/jqy003">scholarship</a> to <a href="https://doi.org/10.1038/s41567-022-01770-1">physics</a>. However, tools like Galactica could make the problem worse unless they are used with careful guardrails in place.</p> <p>A more subtle problem is that the scientific articles on which Galactica is trained are already biased towards certainty and positive results. (This leads to the so-called “<a href="https://theconversation.com/science-is-in-a-reproducibility-crisis-how-do-we-resolve-it-16998">replication crisis</a>” and “<a href="https://theconversation.com/how-we-edit-science-part-2-significance-testing-p-hacking-and-peer-review-74547">p-hacking</a>”, where scientists cherry-pick data and analysis techniques to make results appear significant.)</p> <p>Galactica takes this bias towards certainty, combines it with wrong answers and delivers responses with supreme overconfidence: hardly a recipe for trustworthiness in a scientific information service.</p> <p>These problems are dramatically heightened when Galactica tries to deal with contentious or harmful social issues, as the screenshot below shows.</p> <figure class="align-center zoomable"><a href="https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=1000&amp;fit=clip"><img src="https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;fit=clip" sizes="(min-width: 1466px) 754px, (max-width: 599px) 100vw, (min-width: 600px) 600px, 237px" srcset="https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=600&amp;h=347&amp;fit=crop&amp;dpr=1 600w, https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=30&amp;auto=format&amp;w=600&amp;h=347&amp;fit=crop&amp;dpr=2 1200w, https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=15&amp;auto=format&amp;w=600&amp;h=347&amp;fit=crop&amp;dpr=3 1800w, https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=45&amp;auto=format&amp;w=754&amp;h=436&amp;fit=crop&amp;dpr=1 754w, https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=30&amp;auto=format&amp;w=754&amp;h=436&amp;fit=crop&amp;dpr=2 1508w, https://images.theconversation.com/files/498098/original/file-20221129-17547-nwq8p.jpeg?ixlib=rb-1.1.0&amp;q=15&amp;auto=format&amp;w=754&amp;h=436&amp;fit=crop&amp;dpr=3 2262w" alt="Screenshots of papers generated by Galactica on 'The benefits of antisemitism' and 'The benefits of eating crushed glass'." /></a><figcaption><span class="caption">Galactica readily generates toxic and nonsensical content dressed up in the measured and authoritative language of science.</span> <span class="attribution"><a class="source" href="https://twitter.com/mrgreene1977/status/1593687024963182592/photo/1">Tristan Greene / Galactica</a></span></figcaption></figure> <p><strong>Here we go again</strong></p> <p>Calls for AI research organisations to take the ethical dimensions of their work more seriously are now coming from <a href="https://nap.nationalacademies.org/catalog/26507/fostering-responsible-computing-research-foundations-and-practices">key research bodies</a> such as the National Academies of Science, Engineering and Medicine. Some AI research organisations, like OpenAI, are being <a href="https://github.com/openai/dalle-2-preview/blob/main/system-card.md">more conscientious</a> (though still imperfect).</p> <p>Meta <a href="https://www.engadget.com/meta-responsible-innovation-team-disbanded-194852979.html">dissolved its Responsible Innovation team</a> earlier this year. The team was tasked with addressing “potential harms to society” caused by the company’s products. They might have helped the company avoid this clumsy misstep.<img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important;" src="https://counter.theconversation.com/content/195445/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /></p> <p><em>Writen by Aaron J. Snoswell </em><em>and Jean Burgess</em><em>. Republished with permission from <a href="https://theconversation.com/the-galactica-ai-model-was-trained-on-scientific-knowledge-but-it-spat-out-alarmingly-plausible-nonsense-195445" target="_blank" rel="noopener">The Conversation</a>.</em></p> <p><em>Image: Getty Images</em></p>

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Machine learning gives us a dog’s-eye view, showing us how the brains of our best friends interpret the world

<p>Dog’s minds are being read! Sort of.</p> <p>Researchers have used fMRI (functional magnetic resonance imaging) scans of dogs’ brains and a machine learning tool to reconstruct what the pooch is seeing. The results suggest that dogs are more interested in what is happening than who or what is involved.</p> <p>The results of the experiment conducted at Emory University in Georgia in the US are <a href="https://dx.doi.org/10.3791/64442" target="_blank" rel="noreferrer noopener">published</a> in the <em>Journal of Visualized Experiments</em>.</p> <p>Two unrestrained dogs were shown three 30-minute videos. The fMRI neural data was recorded, and a machine-learning algorithm employed to analyse the patterns in the scans.</p> <p>“We showed that we can monitor the activity in a dog’s brain while it is watching a video and, to at least a limited degree, reconstruct what it is looking at,” says Gregory Berns, professor of psychology at Emory. “The fact that we are able to do that is remarkable.”</p> <p>Using fMRIs to study perception has recently been developed in humans and only a few other species including some primates.</p> <p>“While our work is based on just two dogs it offers proof of concept that these methods work on canines,” says lead author Erin Phillips, from Scotland’s University of St. Andrews who conducted the research as a specialist in Berns’s Canine Cognitive Neuroscience Lab. “I hope this paper helps pave the way for other researchers to apply these methods on dogs, as well as on other species, so we can get more data and bigger insights into how the minds of different animals work.”</p> <p>Machine learning, interestingly enough, is technology which aims to mimic the neural networks in our own brains by recognising patterns and analysing huge amounts of data.</p> <p>The technology “reads minds” by detecting patterns within the brain data which can be associated with what is playing in the video.</p> <p>Attaching a video recorder selfie stick placed at dog eye level, the researchers filmed relatable scenes for the canine audience.</p> <div class="newsletter-box"> <div id="wpcf7-f6-p214466-o1" class="wpcf7" dir="ltr" lang="en-US" role="form"> </div> </div> <p>Recorded activities included dogs being petted by and receiving treats from people.</p> <p>Scenes with dogs showed them sniffing, playing, eating or walking. Other objects and animals included in the scenes included cars, bikes, scooters, cats and deer, as well as people sitting, hugging, kissing, offering a toy to the camera and eating.</p> <p><iframe src="https://players.brightcove.net/5483960636001/default_default/index.html?videoId=6312584526112" width="960" height="540" allowfullscreen="allowfullscreen"></iframe></p> <p>Time stamps on the videos helped classify them into objects (such as dog, car, human, cat) and actions (like sniffing, eating, walking).</p> <p>Only two dogs exhibited the patience to sit through the feature-length film. For comparison, two humans also underwent the same experiment. Both species, presumably, were coaxed with treats and belly pats.</p> <p>Machine-learning algorithm Ivis was applied to the data. Ivis was first trained on the human subjects and the model was 99% accurate in mapping the brain data onto both the object and action classifiers.</p> <p>In the case of the dogs, however, the model did not work for the object-based classifiers. It was, however, between 75 and 88% accurate in decoding the action classifiers in the dog fMRI scans.</p> <p>“We humans are very object oriented,” says Berns. “There are 10 times as many nouns as there are verbs in the English language because we have a particular obsession with naming objects. Dogs appear to be less concerned with who or what they are seeing and more concerned with the action itself.”</p> <p>Dogs see only in shades of blue and yellow but have a slightly higher density of vision receptors designed for detecting motion.</p> <p>“It makes perfect sense that dogs’ brains are going to be highly attuned to actions first and foremost,” Berns adds. “Animals have to be very concerned with things happening in their environment to avoid being eaten or to monitor animals they might want to hunt. Action and movement are paramount.”</p> <p>Philips believes understanding how animals perceive the world is important in her own research into how predator reintroduction in Mozambique may impact ecosystems.</p> <p>“Historically, there hasn’t been much overlap in computer science and ecology,” she says. “But machine learning is a growing field that is starting to find broader applications, including in ecology.”</p> <p><img id="cosmos-post-tracker" style="opacity: 0; height: 1px!important; width: 1px!important; border: 0!important; position: absolute!important; z-index: -1!important;" src="https://syndication.cosmosmagazine.com/?id=214466&amp;title=Machine+learning+gives+us+a+dog%E2%80%99s-eye+view%2C+showing+us+how+the+brains+of+our+best+friends+interpret+the+world" width="1" height="1" /></p> <div id="contributors"> <p><em><a href="https://cosmosmagazine.com/technology/machine-learning-dog-see/" target="_blank" rel="noopener">This article</a> was originally published on <a href="https://cosmosmagazine.com" target="_blank" rel="noopener">Cosmos Magazine</a> and was written by <a href="https://cosmosmagazine.com/contributor/evrim-yazgin" target="_blank" rel="noopener">Evrim Yazgin</a>. Evrim Yazgin has a Bachelor of Science majoring in mathematical physics and a Master of Science in physics, both from the University of Melbourne.</em></p> <p><em>Image: Emory Canine Cognitive Neuroscience Lab</em></p> </div>

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14 ways you’re shortening the life of your washer and dryer

<p><strong>You run the washer/dryer more than you need to</strong></p> <p>“The life of a laundry machine is completely dependent on how often it’s run,” say the tax experts at H&amp;R Block. Try to stick to eight loads a week or less, which they say will “yield an average of a (low) double-digit life,” regardless of the type of machine (front-loading or top-loading, for example). Running only full loads will help to keep your energy bill down.</p> <p><strong>You didn't have your washer/dryer professional installed</strong></p> <p>Proper installation is critical for all laundry machines. For one, they must be installed “level.” Depending on the peculiarities of your floor, that can be more or less complicated. As for dryers, proper venting is critical, and proper venting means selecting the appropriate size and material for your venting tube as well as proper placement of the tube to permit optimal air flow. If you installed your own machines, consider having a professional eyeball your work.</p> <p><strong>You're stuffing your machine</strong></p> <p>Neither washers nor dryers work optimally when overstuffed, and worse, they have to work harder than they should when they’re too full. That increases wear and tear on the machine’s mechanisms such as the washing machine’s central agitator. Plus, if you pack too many clothes into the machine, some detergent residue could be left behind – which will attract more dirt next time you wear the clothes.</p> <p><strong>Using too much detergent</strong></p> <p>Using more detergent than the manufacturer recommends is bad for your washing machine, according to Angie’s List. Using too much soap leads to more suds, which could cause your washer to overflow. Have a high-efficiency washer? They require even less soap to wash clothing properly, so be sure to skimp on the detergent and only use soaps marked safe for HE washers.</p> <p><strong>Washing stuff you shouldn't be washing</strong></p> <p>Hand washing certain items is not just for the sake of said item, but also better for your washing machine, too. Hooks and underwires from lingerie can damage your washing machine’s drum, while zippers can scratch the door of your front-loading machine.</p> <p><strong>Not cleaning out your washing machine's dispensers</strong></p> <p>“When you’re done washing a load of laundry, wipe down the detergent and fabric softener dispensers,” Angie’s List advises. “If you don’t, the build-up could cause a clog.” You should also be washing your washing machine monthly if your owner’s manual recommends it.</p> <p><strong>Not cleaning out the lint from your dryer</strong></p> <p>You should be cleaning the lint out of your lint-catcher every time you run the dryer. Leaving lint in the dryer filter lowers the efficiency of the machine by slowing down the drying process. It can also cause the dryer to overheat and possibly catch fire.</p> <p><strong>Not regularly maintaining your dryer vent</strong></p> <p>Maintaining your dryer vent (the tube that directs moisture and lint out of the dryer drum and out of the house) is crucial to keeping your dryer in good working order. A good rule-of-thumb is to have your dryer vent inspected and cleaned out once per year, according to Ivey Engineering.</p> <p><strong>Overusing dryer sheets</strong></p> <p>“Dryer sheets might make your clothing soft, static-free, and smell fresh, but they have a waxy layer that melts in the dryer,” advises Angie’s List. Using too many can gum up the appliance. But no matter how many dryer sheets you use, you need to be cleaning your lint trap on a regular basis – not just cleaning out the lint but actually removing the lint trap and soaking it in sudsy water every couple of months (or more often if you’re also using fabric softener in the washing machine, which also leaves a residue in the dryer).</p> <p><strong>Leaving stuff in your pockets</strong></p> <p>Gum, tissues, even coins, and paper money can clog your washer drain, and if they don’t fall out of your pockets during the wash cycle, you’ll probably hear and/or see them spinning around the dryer, which isn’t good for your dryer’s inner workings. So empty your pockets before throwing your clothes in the wash for the sake of your laundry machines running smoothly, efficiently and over many years.</p> <p><strong>Not taking clothes out of the washer right away</strong></p> <p>A big problem with washing machines is mould. Mould can lead to a foul-smelling machine, which is definitely going to shorten its life. To avoid mould, take your clean clothes out right away. Bonus points if you also leave the washer door open to allow the machine to air-dry between loads.</p> <p><strong>Drying stuff you shouldn't be drying</strong></p> <p>If you’re planning on drying anything besides clothing, bedding, and towels, check the manufacturer’s instructions to see if you’re actually going to be harming your dryer in doing so. For example, some dryers are not meant to dry rubber, so if you’ve washed your bathroom rug (with a rubber back), don’t dry it in the dryer unless the instructions say it’s OK.</p> <p><strong>Not reading and following the manufacturer's maintenance instructions</strong></p> <p>When Consumer Reports asked laundry machine manufacturers what consumers can do to extend the life of their laundry machines, the same answer kept coming up: follow the manufacturer’s instructions for maintaining the machine. With washing machines, that almost inevitably involves cleaning the washer itself. Many modern washing machines have self-cleaning cycles.</p> <p><strong>Drying the wrong things together</strong></p> <p>Sorting laundry isn’t just for the sake of keeping your whites white. An appliance salesperson Reader’s Digest spoke to told us never to dry “towels with t-shirts.” When we asked him to elaborate, he explained that your dryer works best when it’s drying items of similar weight and that mixing items of significantly different weight can throw off the balance of the machine.</p> <p><em>Image credits: Getty Images</em></p> <p><em>This article originally appeared on <a href="https://www.readersdigest.co.nz/food-home-garden/14-ways-youre-shortening-the-life-of-your-washer-and-dryer?pages=1" target="_blank" rel="noopener">Reader's Digest</a>. </em></p>

Home & Garden

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Move over, Iron Chef, this metallic cook has just learned how to taste

<p>In an episode of <em>Futurama</em>, robot Bender wants to be a chef, but has to overcome the not inconsiderable hurdle of being incapable of taste. It was beautiful.</p> <p>Move over, Bender. A new robot has not only been programmed to taste, it has been trained to taste food at different stages of the cooking process to check for seasoning. Researchers from the University of Cambridge, UK, working with domestic appliances manufacturer Beko, hope the new robot will be useful in the development of automated food preparation.</p> <p>It’s a cliché of cooking that you must “taste as you go”. But tasting isn’t as simple as it may seem. There are different stages of the chewing process in which the release of saliva and digestive enzymes change our perception of flavour while chewing.</p> <p>The robot chef had already mastered the <a href="https://www.cam.ac.uk/research/news/a-good-egg-robot-chef-trained-to-make-omelettes" target="_blank" rel="noreferrer noopener">omelette</a> based on human tasters’ feedback. Now, results <a href="https://dx.doi.org/10.3389/frobt.2022.886074" target="_blank" rel="noreferrer noopener">published</a> in the <em>Frontiers in Robotics & AI</em> journal show the robot tasting nine different variations of scrambled eggs and tomatoes at three different stages of the chewing process to produce a “taste map”.</p> <p>Using machine-learning algorithms and the “taste as you go” approach, the robot was able to quickly and accurately judge the saltiness of the simple scrambled egg dish. The new method was a significant improvement over other tasting tech based on only a single sample.</p> <p>Saltiness was measured by a conductance probe attached to the robot’s arm. They prepared the dish, varying the number of tomatoes and amount of salt. “Chewed” food was passed through a blender, then tested for saltiness again.</p> <figure class="wp-block-video"><video src="../wp-content/uploads/2022/05/Unchewed-sampling-short.mp4" controls="controls" width="300" height="150"></video><figcaption>This robot ‘chef’ is learning to be a better cook by ‘tasting’ the saltiness of a simple dish of eggs and tomatoes at different stages of the cooking process, imitating a similar process in humans. Credit: Bio-Inspired Robotics Laboratory, University of Cambridge.</figcaption></figure> <p>“Most home cooks will be familiar with the concept of tasting as you go – checking a dish throughout the cooking process to check whether the balance of flavours is right,” said lead author Grzegorz Sochacki from the University of Cambridge’s Department of Engineering. “If robots are to be used for certain aspects of food preparation, it’s important that they are able to ‘taste’ what they’re cooking.”</p> <p>The new approach aims to mimic the continuous feedback provided to the human brain in the process of chewing, says Dr Arsen Abdulali, also from Cambridge’s Department of Engineering. “Current methods of electronic testing only take a single snapshot from a homogenised sample, so we wanted to replicate a more realistic process of chewing and tasting in a robotic system, which should result in a tastier end product.”</p> <p>“When a robot is learning how to cook, like any other cook, it needs indications of how well it did,” said Abdulali. “We want the robots to understand the concept of taste, which will make them better cooks. In our experiment, the robot can ‘see’ the difference in the food as it’s chewed, which improves its ability to taste.”</p> <p> “We believe that the development of robotic chefs will play a major role in busy households and assisted living homes in the future,” said senior Beko scientist Dr Muhammad W. Chugtai. “This result is a leap forward in robotic cooking, and by using machine and deep-learning algorithms, mastication will help robot chefs adjust taste for different dishes and users.” Next on the menu will be training robots to improve and expand the tasting abilities to oily or sweet food, for example. Sounds pretty sweet.</p> <p><!-- Start of tracking content syndication. Please do not remove this section as it allows us to keep track of republished articles --></p> <p><img id="cosmos-post-tracker" style="opacity: 0; height: 1px!important; width: 1px!important; border: 0!important; position: absolute!important; z-index: -1!important;" src="https://syndication.cosmosmagazine.com/?id=190155&title=Move+over%2C+Iron+Chef%2C+this+metallic+cook+has+just+learned+how+to+taste" width="1" height="1" data-spai-target="src" data-spai-orig="" data-spai-exclude="nocdn" /></p> <p><!-- End of tracking content syndication --></p> <div id="contributors"> <p><em><a href="https://cosmosmagazine.com/technology/robot-machine-learning-taste/" target="_blank" rel="noopener">This article</a> was originally published on <a href="https://cosmosmagazine.com" target="_blank" rel="noopener">Cosmos Magazine</a> and was written by <a href="https://cosmosmagazine.com/contributor/evrim-yazgin" target="_blank" rel="noopener">Evrim Yazgin</a>. Evrim Yazgin has a Bachelor of Science majoring in mathematical physics and a Master of Science in physics, both from the University of Melbourne.</em></p> <p><em>Image: Shutterstock</em></p> </div>

Technology

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Humans v Machine: fake news headlines or real deal?

<div class="copy"> <p>Can you tell whether the title of a scientific article was written by a human or an AI? Because half the time, not even doctors can spot the fake science headline, according to a<a rel="noreferrer noopener" href="https://www.bmj.com/content/375/bmj-2021-067732" target="_blank"> paper</a> published in <em>BMJ.</em></p> <p>In a study worthy of the silly season, researchers used an AI to generate research paper titles and tested whether readers could tell if they were fake.</p> <p>They took the top titles from 10 years of <em>BMJs </em>Christmas edition – which are often quirkier than normal – to teach an AI to write its own titles. These were then rated by a random sample of doctors from multiple disciplines and countries.</p> <p>They found that AI-generated titles were rated at least as enjoyable (69%) compared to real titles (64%), although the real titles were rated as more plausible (73%) than AI titles (48%).</p> <p>They also found that the AI titles were deemed less scientific if generated at random, but this became less apparent when the titles were then curated by a human.</p> <p>The authors say that this shows how the best results come from an AI and a human working together, where the AI can compensate for human oversights but humans can make the final call.</p> <p>The two AI-generated titles deemed the most plausible were: “The clinical effectiveness of lollipops as a treatment for sore throats” and “The effects of free gourmet coffee on emergency department waiting times: an observational study.”</p> <p>The silliest title generated by the AI was: “Superglue your nipples together and see if it helps you to stop agonising about <a rel="noreferrer noopener" href="https://cosmosmagazine.com/health/mediterranean-diet-helps-ed/" target="_blank">erectile dysfunction</a> at work.” The authors note that this demonstrates the AI doesn’t know how to be polite, which limits its real-world application without human help.</p> <em>Image credits: Getty Images </em></div> <div id="contributors"> <p><em>This article was originally published on <a rel="noopener" href="https://cosmosmagazine.com/technology/ai/fake-science-headline/" target="_blank">cosmosmagazine.com</a> and was written by Deborah Devis. </em></p> </div>

Technology

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Nurse swipes credit card from dead patient and USES it in vending machine

<p>UK healthcare worker, Ayesha Basharat, has been slammed as she stole a dead patient's card and used it at the hospital's vending machine.</p> <p>She had taken an 83-year-old woman's card from her room in the heartlands Hospital's COVID-19 ward and used the card six times at the vending machine, making contactless payments.</p> <p>Basharat had stolen the card from the woman just moments after she died on January 24th, according to<span> </span><a rel="noopener" href="https://west-midlands.police.uk/news/hospital-worker-used-dead-patients-bank-card-buy-sweets-and-fizzy-pop?fbclid=IwAR0zaC47A9DaQWcq_aaGVGjmJOOV9ccbobeGBpAjHpu-SHpTsADEfOmeqso" target="_blank">West Midlands Police</a>.</p> <p>Police caught up to her after she continued to use the credit card despite the family of the woman cancelling it.</p> <p>Basharat has been given two concurrent jail terms of five months each, both of which were suspended for 18 months.</p> <p>Detective Constable Andrew Snowdon said the act was an "abhorrent breach of trust".</p> <p>“This was an abhorrent breach of trust and distressing for the victim’s family," he said.</p> <p>“They were having to come to terms with the death of a loved one from Covid when they found the bank card missing – and then of course the realisation that the card was taken by someone who should have been caring for her.</p> <p>“I wish the family all the best for the future and with this conviction hope they can move on from this upsetting episode.”</p>

Legal

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Eight lives left: Oscar the cat survives washing machine ordeal

<div class="post_body_wrapper"> <div class="post_body"> <div class="body_text "> <p>Oscar the two-year-old Burmese has eight of his nine lives left after surviving a hot 12-minute cycle in the washing machine after his owner didn't check if he was in there.<br />Oscar's owner, Amanda Meredith, heard a strange meowing sound coming from the washing machine after her husband put the bedsheets in the washing machine.</p> <p>She thought it was coming from the cupboard and hung out another load of washing before realising Oscar was in the machine.</p> <p>"The poor little cat had his hands on the glass as he was doing the rotations and he was looking at me," she said.</p> <p>"It was tragic."</p> <p>It took two minutes for the machine to drain and turn off before the machine door could be opened and Oscar could be free.</p> <p>Meredith phoned her vet immediately who warned her that the first six hours would be "touch and go".</p> <p>Dan Capps from Beachside Veterinary Surgery said that Oscar emerged from the machine battered and bruised from the hard fins in the machine but was alive.</p> <p>Oscar was given anti-inflammatories and stayed in the practice for 24 hours before being allowed to go home.</p> <p>"He's a very lucky but strong little fellow," Dr Capps said.</p> <p>"This is not the first time this has happened.</p> <p>"During the cooler weather it is the perfect place for feline friends to try and hide for a warm nap."</p> <p>Upon returning, Meredith said that Oscar slept solidly for the next seven days.</p> <p>After a weeks' recovery, Oscar is fine.</p> <p>"There was no damage," Meredith said.</p> <p>She estimated that Oscar had used up "three of his nine lives".</p> <p>She's able to laugh about the incident three weeks later but said that the initial time was "traumatic".</p> <p>"Waiting the two minutes [for the washing machine's door to release] was traumatic to say the least," she said.</p> <p>As for Oscar's interest in the washing machine? The ordeal has not turned him off.</p> <p>"He sits there and watches it tumble-turn all the time," Meredith said.</p> <p>"Maybe he has PTSD or something — he has to sit at the door watching the wash cycle."</p> <p><em>Photo credits: </em><em><a rel="noopener" href="https://www.abc.net.au/news/2020-07-02/cat-in-washing-machine-has-lucky-escape/12412364" target="_blank" class="_e75a791d-denali-editor-page-rtflink">ABC</a></em></p> </div> </div> </div>

Family & Pets

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6 things you never knew you could put in the washing machine

<p>Bring it on.</p> <p><strong>1. Stuffed animals</strong></p> <p>Place each stuffed animal in its own mesh laundry bag and set your machine to wash and rinse. Use cold water (warm or hot water could melt the toy’s glue) and half the regular amount of detergent. Run the animals through a second rinse cycle to remove all the soap, and allow them to air dry. Fluff fur as needed.</p> <p><strong>2. Sneakers</strong></p> <p>Remove the laces from canvas or nylon sneakers and slip them into a cotton pillowcase where they won’t get tangled. Take out any inner soles or padding from the sneakers and toss the shoes and pillowcase into your washer (if you’re concerned about the shoes causing a racket, throw in a few towels as well). Add the regular amount of detergent, plus a dash of vinegar to deodorise. Set your machine on a cold-wash delicate cycle. Allow the shoes and shoelaces to air dry.</p> <p><strong>3. Pillows</strong></p> <p>Wash pillows two at a time in a warm-water gentle cycle. To ensure you’re washing out all the soap, add an extra cold-water rinse and spin, advises Good Housekeeping. To fluff things up, dry the pillows on low heat, along with a few rubber dryer balls.</p> <p><strong>4. Backpacks and lunch boxes</strong></p> <p>Open all of your backpack’s pockets and check for any items that might be hidden. If there are large pieces of crumbs or debris, use your vacuum cleaner’s crevice attachment to do a thorough pre-cleaning. Put your backpack into a laundry bag or pillowcase and wash it on a gentle cycle in cold water with a small amount of gentle detergent. Allow to air dry.</p> <p><strong>5. Bath mats and small rugs</strong></p> <p>Take the mat outside and shake it to remove any loose dirt, and then load the rug into the washing machine with a few bath towels to balance the load. Set the machine on a cold-wash delicate cycle, and add half the regular amount of detergent. Allow the mat to air dry (never put a rubber-backed mat into the dryer).</p> <div id="page12" class="slide-show"> <div id="test" class="slide"> <div class="slide-description"> <div class="at-below-post addthis_tool" data-url="https://www.readersdigest.com.au/food-home-garden/home-tips/16-things-you-never-knew-you-could-put-in-the-washing-machine"><strong>6. Pet beds</strong></div> <div class="at-below-post addthis_tool" data-url="https://www.readersdigest.com.au/food-home-garden/home-tips/16-things-you-never-knew-you-could-put-in-the-washing-machine"> <p>Foam pet beds can be cleaned whenever you see fit. Remove the bed’s outside cover and place it in the washing machine with cold water and regular detergent. To clean the foam piece, fill your bathtub halfway with warm water. Add a scoop of laundry detergent and sink the bed into the soapy water. Empty the soap water from the tub and refill with clean water. Rinse the foam out and place it in the sun to air dry. Replace the foam cover and zip it up.</p> <div id="page16" class="slide-show"> <div id="test" class="slide"> <div class="slide-description"> <p><em>Source:<span> </span><a rel="noopener" href="https://www.rd.com/home/cleaning-organizing/washing-machine-suprising-items/" target="_blank">RD.com</a></em></p> <div class="at-below-post addthis_tool" data-url="https://www.readersdigest.com.au/food-home-garden/home-tips/16-things-you-never-knew-you-could-put-in-the-washing-machine"><em>Written by Juliana LaBianca. This article first appeared in <a href="https://www.readersdigest.com.au/food-home-garden/home-tips/16-things-you-never-knew-you-could-put-in-the-washing-machine">Reader’s Digest</a>. For more of what you love from the world’s best-loved magazine, <a href="http://readersdigest.innovations.co.nz/c/readersdigestemailsubscribe?utm_source=over60&amp;utm_medium=articles&amp;utm_campaign=RDSUB&amp;keycode=WRN93V">here’s our best subscription offer.</a></em></div> </div> </div> </div> </div> </div> </div> </div>

Home & Garden

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Why you should think twice before playing slot machines

<p>Slot machines, video poker machines and other electronic gaming devices make up the bulk of all the economic activity in the gaming industry. At casinos in <a href="https://irgc.iowa.gov/sites/default/files/documents/2017/03/annual_report_2016.pdf">Iowa</a> and <a href="http://dor.sd.gov/Gaming/Industry_Statistics/PDFs/Stats%20by%20Denom%20for%20cy2016.pdf">South Dakota</a>, for example, such devices have contributed up to 89 percent of annual gaming revenue.</p> <p>Spinning-reel slots in particular are <a href="http://www.principlesofcasinomarketing.com/Introduction-to-Casino-Management.php">profit juggernauts</a> for most casinos, outperforming table games like blackjack, video poker machines and other forms of gambling.</p> <p>What about slot machines makes them such reliable money makers? In part, it has something to do with casinos’ ability to hide their true price from even the savviest of gamblers.</p> <p><strong>The price of a slot</strong></p> <p>An <a href="https://www.investopedia.com/terms/l/law-of-supply-demand.asp">important economic theory</a> holds that when the price of something goes up, demand for it tends to fall.</p> <p>But that depends on <a href="http://investinganswers.com/financial-dictionary/stock-market/price-transparency-3233">price transparency</a>, which exists for most of the day-to-day purchases we make. That is, other than visits to the doctor’s office and possibly the auto mechanic, we know the price of most products and services before we decide to pay for them.</p> <p>Slots may be even worse than the doctor’s office, in that most of us will never know the true price of our wagers. Which means the law of supply and demand breaks down.</p> <p>Casino operators usually think of price in terms of what is known as the average or expected house advantage on each bet placed by players. Basically, it’s the long-term edge that is built into the game. For an individual player, his or her limited interaction with the game will result in a “price” that looks a lot different.</p> <p>For example, consider a game with a 10 percent house advantage – which is fairly typical. This means that over the long run, the game will return 10 percent of all wagers it accepts to the casino that owns it. So if it accepts $1 million in wagers over 2 million spins, it would be expected to pay out $900,000, resulting in a casino gain of $100,000. Thus from the management’s perspective, the “price” it charges is the 10 percent it expects to collect from gamblers over time.</p> <p>Individual players, however, will likely define price as the cost of the spin. For example, if a player bets $1, spins the reels and receives no payout, that’ll be the price – not 10 cents.</p> <p>So who is correct? Both, in a way. While the game has certainly collected $1 from the player, management knows that eventually 90 cents of that will be dispensed to other players.</p> <p><a href="https://digitalscholarship.unlv.edu/grrj/vol15/iss1/2/">A player could never know this</a>, however, given he will only be playing for an hour or two, during which he may hope a large payout will make up for his many losses and then some. And at this rate of play it could take years of playing a single slot machine for the casino’s <a href="https://digitalscholarship.unlv.edu/grrj/vol15/iss1/2/">long-term advantage to become evident</a>.</p> <p><strong>Short-term vs. long-term</strong></p> <p>This difference in price perspective is rooted in the gap between the short-term view of the players and the long-term view of management. This is one of the lessons I’ve learned in my more than three decades in the gambling industry analyzing the performance of casino games and as a researcher studying them.</p> <p>Let’s consider George, who just got his paycheck and heads to the casino with $80 to spend over an hour on a Tuesday night. There are basically three outcomes: He loses everything, hits a considerable jackpot and wins big, or makes or loses a little but manages to walk away before the odds turn decidedly against him.</p> <p>Of course, the first outcome is far more common than the other two – it has to be for the casino to maintain its house advantage. The funds to pay big jackpots come from frequent losers (who get wiped out). Without all these losers, there can be no big winners – which is why so many people play in the first place.</p> <p>Specifically, the sum of all the individual losses is used to fund the big jackpots. Therefore, to provide enticing jackpots, many players must lose all of their Tuesday night bankroll.</p> <p>What is less obvious to many is that the long-term experience rarely occurs at the player level. That is, players rarely lose their $80 in a uniform manner (that is, a rate of 10 percent per spin). If this were the typical slot experience, it would be predictably disappointing. But it would make it very easy for a player to identify the price he’s paying.</p> <p><strong>Raising the price</strong></p> <p>Ultimately, the casino is selling excitement, which is comprised of hope and variance. Even though a slot may have a modest house advantage from management’s perspective, such as 4 percent, it can and often does win all of George’s Tuesday night bankroll in short order.</p> <p>This is <a href="https://doi.org/10.1177/1938965508315368">primarily due to the variance</a> in the slot machine’s pay table – which lists all the winning symbol combinations and the number of credits awarded for each one. While the pay table is visible to the player, the probability of producing each winning symbol combination remains hidden. Of course, these probabilities are a critical determinant of the house advantage – that is, the long-term price of the wager.</p> <p>This rare ability to hide the price of a good or service offers an opportunity for casino management to raise the price without notifying the players – if they can get away with it.</p> <p>Casino managers are under tremendous pressure to maximize their all-important slot revenue, but they do not want to kill the golden goose by raising the “price” too much. If players are able to detect these concealed price increases simply by playing the games, then they may choose to play at another casino.</p> <p>This terrifies casino operators, as it is difficult and expensive to <a href="https://digitalscholarship.unlv.edu/grrj/vol15/iss1/2/">recover from perceptions</a> of a high-priced slot product.</p> <p><strong>Getting away with it</strong></p> <p>Consequently, <a href="https://doi.org/10.1177/1938965518777223">many operators resist</a> increasing the house advantages of their slot machines, believing that players can detect these price shocks.</p> <p><a href="http://journals.sagepub.com/doi/10.1177/1938965518777223">Our new research</a>, however, has found that increases in the casino advantage have produced significant gains in revenue with no signs of detection even by savvy players. In multiple comparisons of two otherwise identical reel games, the high-priced games produced significantly greater revenue for the casino. These findings were confirmed in <a href="http://journals.sagepub.com/doi/abs/10.1177/1938965518787454">a second study</a>.</p> <p>Further analysis revealed no evidence of play migration from the high-priced games, despite the fact their low-priced counterparts were located a mere 3 feet away.</p> <p>Importantly, these results occurred in spite of the egregious economic disincentive to play the high-priced games. That is, the visible pay tables were identical on both the high- and low-priced games, within each of the two-game pairings. The only difference was the concealed probabilities of each payout.</p> <p>Armed with this knowledge, management may be more willing to increase prices. And for price-sensitive gamblers, reel slot machines may become something to avoid.<!-- Below is The Conversation's page counter tag. Please DO NOT REMOVE. --><img style="border: none !important; box-shadow: none !important; margin: 0 !important; max-height: 1px !important; max-width: 1px !important; min-height: 1px !important; min-width: 1px !important; opacity: 0 !important; outline: none !important; padding: 0 !important; text-shadow: none !important;" src="https://counter.theconversation.com/content/100700/count.gif?distributor=republish-lightbox-basic" alt="The Conversation" width="1" height="1" /><!-- End of code. If you don't see any code above, please get new code from the Advanced tab after you click the republish button. The page counter does not collect any personal data. More info: http://theconversation.com/republishing-guidelines --></p> <p><em>Written by <span>Anthony Frederick Lucas, Professor of Casino Management, University of Nevada, Las Vegas</span>. Republished with permission of </em><a rel="noopener" href="https://theconversation.com/how-slot-machines-work-and-why-you-should-think-twice-before-playing-them-100700" target="_blank"><em>The Conversation</em></a><em>. </em></p>

Retirement Income

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Coca-Cola's embarrassing vending machine blunder

<p>It’s a pitfall marketing departments must come across regularly, the risk of a message painfully missing the mark, lost in translation.</p> <p>Coca-Cola Amatil New Zealand is currently feeling the heat over that very pitfall, with some vending machines in the country causing much mirth on social media.</p> <p>The offending slogan on the machines reads: “Kia ora, Mate”. ‘Kia ora’ is a greeting you’ll often hear in New Zealand, but “mate” in te reo Māori means “death”. So the slogan essentially reads “Hello, death.”</p> <blockquote class="twitter-tweet"> <p dir="ltr">When the languages don't mix well. <a href="https://t.co/3piZIoptAE">pic.twitter.com/3piZIoptAE</a></p> — Waikato Reo (@waikatoreo) <a href="https://twitter.com/waikatoreo/status/1051264259089264640?ref_src=twsrc%5Etfw">October 14, 2018</a></blockquote> <p>One of the machines is at Auckland International Airport and is <span>where Gareth Seymour spotted the vending machine.</span></p> <p>"I read with Māori language eyes and thought, ‘They haven't had this checked by a Māori,” he told <em><a rel="noopener" href="https://www.sbs.com.au/nitv/article/2018/10/15/kia-ora-death-vending-machine-slogan-gets-lost-translation" target="_blank">NITV News</a></em>. He suggested the slogan should have read “Kia ora e hoa” or “hello friend”.</p> <p>The response on social media after a shot of the vending machine was posted was merciless.</p> <p>“This reminds me of being back in uni and learning marketing 101,” said one Facebook user.</p> <p>“The coca cola company gains self-awareness?” tweeted another detractor, referencing the potentially dire health effects of Coca-Cola.</p> <p>But the commentary became serious with this comment on social media: “Totally spot on, it does mean death for a lot of Indigenous people.”</p> <p>There are some that have argued that the Māori native tongue and English language commonly mix, and that’s the line Coca-Cola Amatil NZ has taken.</p> <p>"In no way was the ‘mate’ in reference to any Māori word, that would have been inappropriate and unacceptable,” the company said in a statement to <em>NITV News</em>.</p> <p>It said that by merging the two words, it "only meant to bring Maori and English together".</p> <p>"Coca-Cola Amatil New Zealand is proudly Kiwi and respects and embraces all aspects of Maori culture and any other culture."</p> <p>The company wouldn’t say, however, whether the Māori community had been consulted on the marketing campaign.</p> <p>Seymour said that, “Even a Māori-speaking school kid would notice the mistake. The moral of [the] story is – if you use it there are ways of doing it right.”</p> <p>What "lost in translation" blunders have you seen? Let us know in the comments section.</p>

Travel Trouble

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This incredible Rube Goldberg machine is timed perfectly with Tchaikovsky

<p>Rube Goldberg machines have entertained us for years with their intricate, complicated and convoluted ways of completing tasks or getting from A to B.</p> <p>But one creative machine maker has just taken it to the next level, perfectly syncing his contraption to Tchaikovsky’s “Waltz of the Flowers” from <em>The Nutcracker.</em></p> <p><a href="https://www.youtube.com/user/DoodleChaos/" target="_blank"><strong><span style="text-decoration: underline;">Mark Robbins</span></strong></a>, a YouTuber and “kinetic artist” from Minnesota in the US has made a name for himself on the popular video sharing website for using ordinary objects like wooden blocks, magnets and marbles to create incredible moving artworks.</p> <p>The one you’re about to see is the result of what must’ve been hours and hours (if not days) of hard work, which Robbins himself admitted drove him a little mad.</p> <p>“After listening to parts of this song hundreds of times to match things up, I went a bit crazy,” he captioned the incredible video, which you can see below. Prepare to have your mind blown!</p> <p style="text-align: center;"><iframe width="560" height="315" src="https://www.youtube.com/embed/GCTyFp0PpHE" frameborder="0" allow="autoplay; encrypted-media" allowfullscreen=""></iframe></p> <p>Tell us in the comments below, have you ever made a Rube Goldberg machine?</p> <p><em>Image credit: DoodleChaos/YouTube</em></p>

Music

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Man killed after being sucked into MRI machine

<p>A young Indian man has been killed after being sucked into an MRI machine while visiting a sick relative in hospital.</p> <p>Rajesh Maru, 32, was pulled into the machine by its magnetic force after entering the room while carrying an oxygen cylinder.</p> <p><a href="https://www.ndtv.com/mumbai-news/man-carries-oxygen-cylinder-into-mri-room-gets-sucked-into-machine-dies-1805445" target="_blank"><strong><span style="text-decoration: underline;">NDTV</span></strong></a> reports Maru’s hand became trapped in the machine after the damaged cylinder burst, “triggering a massive oxygen leak”. He was rushed to the emergency room but pronounced dead just 10 minutes later.</p> <p>According to Mumbai Police, two members of hospital staff have been arrested in connection with the horrific incident, which occurred at Nair Hospital over the weekend.</p> <p>“We have arrested a doctor and another junior staff member under section 304 of the Indian penal code for causing death due to negligence,” police spokesman Deepak Deoraj told AFP.</p> <p>According to the victim’s family, they had been assured that the machine was switched off and that the room was safe to enter.</p> <p>“I asked the ward boy thrice about the machine but he ridiculed me, saying that he knows his job well and does not need to know from me about it,” Maru’s relative Priyanka Solanki said.</p> <p>His uncle, Jitendra Maru, added, “The ward boy who was supposed to prevent such incidents told my family members to go inside when the machine was turned on. We are shocked and devastated.”</p> <p>An investigation is currently underway and Maru’s family have been awarded 500,000 rupees ($9,700) in compensation.</p>

Mind

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6 common washing machine mistakes to avoid

<p>Get the most out of this essential appliance.</p> <p><strong>1. Give it a deep clean</strong></p> <p>It seems counter intuitive that you would have to clean something that spends its whole life cleaning, but you really should. You can make your own washing machine cleaner with three quarters of a cup of bleach and a tablespoon of laundry detergent. Let the solution run through a soak cycle, then run an extra rinse cycle to ensure all the bleach is gone.</p> <p><strong>2. Empty your pockets</strong></p> <p>We’ve all done it – thrown in a jumper or pair of pants and left coins, keys or tissues in the pocket. These things can actually damage your machine, either through the metal scratching up the drum and damaging the glass door of a front loader, or shredded paper clogging up the workings. Make sure you check the pockets of all your clothes before you put them in.</p> <p><strong>3. Keep the door open</strong></p> <p>Did you know you should leave the door of your washing machine open after every cycle? It allows moisture from inside to evaporate, reducing the risk of developing mould and mildew.</p> <p><strong>4. Clean the surface</strong></p> <p>The outside of your machine should stay just as clean as the inside. If you get dirt, laundry detergent or stain remover on the surface, wipe it off with a clean cloth straight away. Also be wary of scratches from metal zippers or fastenings. Damage to the enamel outer surface can result in rust or dirt becoming engrained in it.</p> <p><strong>5. Don’t overload it</strong></p> <p>The drum of a washing machine is a delicately balanced mechanism. Jam too many clothes in and you run the risk of upsetting it. If you run too many heavy loads over time you can break it altogether. Plus washing too much at once means that your laundry won’t be very clean.</p> <p><strong>6. Keep the hoses neat</strong></p> <p>Hoses connecting the machine to the taps or sink should be kept straight and unkinked. As they become older, sharp bends can cause the rubber to deteriorate faster. You should also keep an eye on the quality of the seals on both ends. A faulty hose can quickly turn into a flooded house.</p>

Home & Garden

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Ways you can ruin your washing machine without realising

<p class="first-para">They’re notoriously temperamental devices and it’s generally no surprise to hear that someone’s washing machine has kicked the bucket. But it may well be our fault – and not the machine’s. For how indispensable they are, most of us are guilty of at least a few of the cardinal laundry sins.</p> <p>So if you want your washing machine to last, ask yourself if you do any of the following.</p> <p><strong>1. You don’t empty your pockets</strong></p> <p>When it comes to the spin cycle, metal coins left in pockets zoom around, battering your washing machine’s drum – and the glass if you have a front loader. Look at it like a bonus to clean clothes and a healthy machine – whoever does the wash, keeps the change. It’s a win-win.</p> <p><strong>2. You leave the door open between washes</strong></p> <p>Because the inside of your machine is a damp environment, leaving the door open between cycles brings in air, which means mould. Keep your washing machine smelling sweeter and discourage the growth of mildew by keeping the door shut.</p> <p><strong>3. You leave the laundry in your washing machine for too long</strong></p> <p>Now this is a transgression many of us are guilty of. If you don’t have the time or energy to hang your clothes out immediately, that’s fine – but you should still remove them from the machine. Wet laundry belongs in a well-ventilated basket, not in your washer.</p> <p><strong>4. You never clean the filter</strong></p> <p>Let’s be real about it – just think of all the awful things your washing machine has probably cleansed from your clothes. Sweat, blood, poo, wine, food, dirt, vomit – the list goes on.</p> <p>If you don’t clean your filter, there are little particles of all of those things that go through the wash with your other clothes, every single time.</p> <p><strong>5. You never clean your machine</strong></p> <p>As per the above, the washing machine can be a bit like a war zone. You clean your shower, so similarly, it’s important to clean your machine. To do this, run an empty hot cycle without washing powder. Once the water has filled, add 1Ž2 cup of bicarbonate of soda and two cups white vinegar.</p> <p><strong>6. You overload your machine</strong></p> <p>Overstuffing your machine might seem efficient, but the poor contraption can only work so hard. Consistently forcing it to spin with too much weight inside will damage the suspension and shorten the lifespan of your appliance.</p> <p>Be sensible when loading – if you have to start squashing it in to fit, you’ve gone too far.</p> <p>Do you make any of these easy mistakes? Let us know in the comments below.</p> <p><em>First appeared on <a href="http://www.domain.com.au" target="_blank"><strong><span style="text-decoration: underline;">Domain.com.au.</span></strong></a></em></p>

Home & Garden

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6 common laundry machine mistakes

<p>Everything we know about doing laundry we learnt in childhood.</p> <p>“Most people will cook the way their mothers cooked. We learn laundry basics the same way – from our parents,” says Jenifir Provateare, who has been developing products for the laundry industry for 20 years.</p> <p>But it might be time to dump some of mum or dad’s outdated laundry habits. “Technology has come a long way since our mothers started doing laundry,” says Provateare, a product development manager at Nehemiah Manufacturing, a Cincinnati-based consumer goods company.</p> <p>That means most of us need to upgrade our laundry smarts to keep our black T-shirts from fading and our soccer uniforms free of grass stains. We have to read the fine print of our washing machine manuals and finally learn how to sort.</p> <p>There is constant innovation in laundry products. But some new products don’t measure up, Provateare says. She is not a fan of pricey single-dose laundry detergent packs because they don’t let you control the amount of detergent. For a larger load when one pack isn’t enough, you have no choice but to add two. When you use too much detergent, the rinse cycle may not get it all out, leaving a sticky residue on fabrics.</p> <p>We asked Provateare to identify six common mistakes consumers make when operating washing machines. How many are you guilty of?</p> <p><strong>1. Never mastering the art of sorting</strong></p> <p>Many people just sort by colour, especially if they plan to wash everything in cold water. Uh-uh. Sort clothes by wash temperature as indicated on the care label. Make cold, warm and hot piles (very few things should be washed in hot; it’s brutal on fabrics). Then sort those piles by colour before washing. You may end up with a bunch of small loads, but clothes will look better and last longer.</p> <p><strong>2. Being skimpy with detergent</strong></p> <p>Detergents are quite concentrated and can be expensive, whether you have a standard or high-efficiency machine. The majority of people use liquids and many believe they can get away with less than the suggested amount. Not true. If you are stingy, the dirt on clothes just redistributes itself in the wash instead of going out with the rinse. The dirt ends up on the rest of your clothes, making them dingy. Confirm you are buying the type of detergent your washer is designed to handle for optimal use. Study the detergent box, bottle or cap to make sure you are adding the recommended amount.</p> <p><strong>3. Stuck on cold</strong></p> <p>Consumers often select cold water since it’s a less risky choice: It won’t shrink your skinny jeans or cause your striped shirt to bleed. But cold water is not always best and may not be getting clothes clean or odours out. Read the care label instructions; they may say to use warm. A good rule is to use the warmest temperature your garment can handle, because, in general, you are going to get clothes cleaner in warmer water.</p> <p><strong>4. The bleach effect</strong></p> <p>Do you use bleach on white socks and underwear that contain elastic? Cease and desist. Bleach actually eats elastic. Switch to a detergent with pre-added bleach alternative or whitener.</p> <p><strong>5. Not treating stains as fashion emergencies</strong></p> <p>Waiting until the last minute to deal with stains has consequences. Once a smudge or spot goes through a warm water wash and is heated dry, it probably won’t ever come out. Carry a stain pen in your car, tote or diaper bag. If you spill ketchup on your shirt, immediately put a cloth or paper towel behind the stain and rub with your pen. Most of the stain will disappear. When you get home, spritz with stain remover spray and wash right away in the warmest water the clothing can tolerate. The one major exception: blood stains, which you should wash only in cold water.</p> <p><strong>6. Being too lazy to wash new clothes or linens before use</strong></p> <p>If you get a new polo shirt or sheet set, you should wash it by itself before you wear or use it. (Provateare says she does; I have to admit, my mother never washed anything before using it. I survived and I boldly continue that dangerous practice.) Washing first should remove any residual chemicals left over from the manufacturing process. If you fail to do this, chemicals could come in contact with your skin and cause irritation or contact dermatitis. Provateare advises tossing new items into your washer set on cold. This also helps set colours so they won’t bleed when you wash items later with other laundry.</p> <p><em>Written by Jura Koncius. First appeared on <a href="http://www.domain.com.au/" target="_blank"><strong><span style="text-decoration: underline;">Domain.com.au.</span></strong></a></em></p> <p><strong>Related links:</strong></p> <p><a href="http://www.oversixty.co.nz/lifestyle/home-garden/2016/08/10-habits-of-clean-people/"><strong><em><span style="text-decoration: underline;">10 habits of people who always have a clean home</span></em></strong></a></p> <p><a href="http://www.oversixty.co.nz/lifestyle/home-garden/2016/08/things-in-your-kitchen-you-should-clear-out-right-now/"><strong><em><span style="text-decoration: underline;">10 things in your kitchen you should clear out right now</span></em></strong></a></p> <p><a href="http://www.oversixty.co.nz/lifestyle/home-garden/2016/07/5-big-mistakes-you-make-cleaning-windows/"><strong><em><span style="text-decoration: underline;">5 big mistakes you make cleaning windows</span></em></strong></a></p>

Home & Garden