Trending March 2024 # Enjoy Some Weird Science Research For The Holidays # Suggested April 2024 # Top 6 Popular

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The British Medical Journal is at it again with its annual Christmas Issue, full of offbeat studies and literature reviews. The journal releases this little academic present each year. Here are a few of our favorites from the 2024 edition released this week:

The Walking Dead has inspired a bit of zombie fever (and we seem to have caught it too). So, it only makes sense to have a comprehensive look at the pathology and epidemiology of zombie infections.

Tara C. Smith from Kent State University surveys the rise of zombie outbeaks from the 1500s, up to the more recent incidents of “rage zombies.” Her background in epidemiology allows Smith to provide a compellingly detailed analysis for zombie nerds everywhere, though more research is needed to prevent and cure the infection. This study also has a great footnote that you (probably) won’t see at the end of any other research out there: “Acknowledgments: I thank my Twitter followers and the Zombie Research Society, Omaha Chapter, for their suggestions and clarifications.”

The words bloodcurdling and fear are so intertwined that the Cambridge Dictionary defines bloodcurdling as “causing a feeling of extreme fear.” But, what remains to be seen is whether fear actually literally causes your blood to curdle.

Luckily, researchers at the Leiden University in the Netherlands enlisted 24 healthy young adults to find out. The 14 youngsters watched a horror movie (Insidious) and then about a week later an educational movie (A Year in Champagne), and 10 watched the movies in the opposite order. The researchers took a sample of the participants’ blood 15 minutes before and after watching the films, and found that yes, bloodcurdling movies did indeed lead to more coagulant, which starts the blood clotting process, the key factor that actually clots the blood didn’t initiate.

Getting more women involved in STEM has been a popular topic in recent years, underscored by the depressing lack of women in positions in science and technology.

For the BMJ Christmas issue, researchers took that one step further, finding that in the top National Institutes of Health-funded medical schools in the U.S., have more mustachioed department leaders than women department leaders (19% versus 13%). All department leaders, regardless of sex were considered and analyzed for facial hair above the lip, and their definition of a mustache is particularly good reading, complete with a diagram of different types of. “We believe that every department and institution should strive for a moustache index ≥1,” the researchers conclude.

We Americans like to give our friends across the pond grief for their bad teeth. But, based on this cross sectional analysis, that grief is likely misplaced. The research team analyzed dental surveys from the U.S. and the U.K. And in doing so, they discovered that adult Americans have more missing teeth than Brits (an average of 7.31 versus 6.97) and that the socioeconomic inequality in oral health was much higher in the U.S. They also found that the U.K. survey participants claimed they had more oral impacts on their lives than Americans claimed.

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6 Weird Ways To Hunt For Aliens

At a meeting in July, NASA scientists predicted that humans will detect extraterrestrial life within the next 20 years.

The Kepler telescope has churned up thousands of new exoplanet candidates over the past few years, and now scientists estimate that there could be upwards of 100 billion planets in the Milky Way. At the same time, here on Earth, we’ve found life thriving even in the strangest places. That’s got some scientists thinking that the odds are stacked in favor of life being pervasive throughout the universe—and now it’s just a matter of finding it.

NASA’s prediction is based on two telescopes expected to debut in 2023 and 2023. The first is the Transiting Exoplanet Survey Satellite, which will look for Earth-sized exoplanets. The second is the James Webb Space Telescope, which should (hopefully) be able to spot water and the chemical signatures of life in the atmospheres of other worlds.

But there are other ways to look for aliens. Here are some of science’s most interesting proposals. They may sound a little nutty, but–who knows?– they might just work.

View the gallery here.

Where There’s Smoke, There’s Fire

Beacons In The Night

While SETI is listening for alien radio transmissions, other scientists think we can also use our eyes in the sky to look for the light and heat that might radiate from alien cities. chúng tôi reports that modern telescopes could spot a city the size of Tokyo if it were located in the outer brinks of our solar system. Of course, other star systems are much, much farther away, but the next generation of space telescopes may be able to peer across the interstellar abyss.

Black Hole Sun

Solar Panels On Crack

Aliens Among Us

Here on Earth, there may be creatures that are based on biology so different from our own that we don’t even recognize them as living organisms. For example, NASA astrobiologist Carol Cleland (who helped to coin the term “shadow biosphere” in 2005) has suggested that desert varnish (the red rusty stuff that grows on rocks) may be one such alien. Desert varnish looks like a microbial mat, and even appears to produce organic molecules, but scientists can’t tell whether it’s alive or not. So aliens could be living right under our noses—or even inside them, for all we know.

The Wait-And-See Strategy

When it comes to understanding the origins of life, a group that calls itself WETI says it’s taking a novel approach: “Instead of actively searching for extraterrestrial intelligence, the idea is to simply WAIT – until the others find us.” Short for “Wait for Extraterrestrial Intelligence”, WETI’s strategy (if you can call it that) is certainly the cheapest option. The group jokes that it has secured funding until the year 2620.

Some Great Cases For The New 12.9

Earlier this week, Apple unveiled its newest 12.9-inch iPad Pro. And, with it, a slightly thicker case to handle the new mini-LED display.

Which means there are some new options out there for the biggest iPad Pro model. As such, we put together a list of the best cases for the 12.9-inch iPad Pro you can buy right now. We’ll be adding to this list, of course, but these are some solid options available today.

The best cases for the new 12.9-inch iPad Pro Spigen

Spigen’s Tough Armor Pro case is a rugged option for folks who want that extra protection. The case features shock-absorbent layers, and the company also has its Air Cushion Technology in place, too. That should add a bit more safety for any unexpected drops.

There are raised edges around the display and around the rear camera setup. Spigen included a built-in kickstand with various viewing angles. There’s also a built-in holder for the second-generation Apple Pencil.

The Spigen Tough Armor case for the new 12.9-inch iPad Pro is available now from Amazon.

Buy Spigen Tough Armor case for 12.9-inch iPad Pro for $34.99

ESR

The case from ESR designed for the new 12.9-inch iPad Pro offers plenty of protection for daily use, as well as a kickstand for various viewing angles. That kickstand supports nine different angles, with powerful magnets designed to keep the iPad Pro in place while in use.

The case is designed from a rugged shock-resistant polymer to protect the big tablet from drops. The case itself shouldn’t get scratched up all that easily, either. There’s a built-in holder for the 2nd-generation Apple Pencil as well.

One of the interesting elements of this case is a “sturdy hanging cutout” paired with additional magnets that will let owners “mount your tablet on magnetic surfaces and hooks”. That could be helpful in certain scenarios, like a kitchen with limited space.

The 12.9-inch iPad Pro case from ESR is available now from Amazon.

Buy ESR case for 12.9-inch iPad Pro for $29.99

ZtoTopCases

The ZtoTopCases option for the new 12.9-inch iPad Pro is made from premium synthetic PU leather, along with a soft microfiber lining inside the case to help protect the iPad Pro while the case is equipped. This case offers up today body protection for the iPad Pro, with both drop- and scratch-resistance built in.

The case also offers a built-in pocket organizer, a hand strap, a small holder for the Apple Pencil, and slots designed to offer up different viewing angles. The magnetic cover also supports the iPad Pro’s auto sleep/wake feature, too.

The ZtoTop Cases case for the 12.9-inch iPad Pro is available now from Amazon.

Buy ZtoTopCases case for 12.9-inch iPad Pro for $20.99

UAG

The UAG case for the new 12.9-inch iPad Pro is designed to be slim and lightweight, but still offer up plenty of protection. It’s shock-proof with 360-degree protection for the tablet, with the iPad Pro’s auto sleep/wake feature supported when the case is closed or opened.

The case features an adjustable stand for different viewing angles. The case is made from a translucent composite construction, with a contrasting texture micro-dot design. The exterior of the case, along with the soft impact-resistant core, meet the military’s drop-test standards (MIL STD 810G 516.6).

The UAG case also supports a holster for the Apple Pencil (2nd-generation), and comes in an “Aubergine” color option. It’s available now from Amazon.

Buy UAG case for 12.9-inch iPad Pro for $89.95

So, there’s a few options for your brand new 12.9-inch iPad Pro (which goes up for order on April 30, and on sale in the second half of May). As mentioned above, we’ll be adding to this list as more options become available.

Data Science: The 10 Commandments For Performing A Data Science Project

Machine learning has the ultimate goal of creating a model that is generalizable. It is important to select the most accurate model by comparing and choosing it correctly. You will need a different holdout than the one you used to train your hyperparameters. You will also need to use statistical tests that are appropriate to evaluate the results.

It is crucial to understand the goals of the users or participants in a data science project. However, this does not guarantee success. Data science teams must adhere to best practices when executing a project in order to deliver on a clearly defined brief. These ten points can be used to help you understand what it means.

1. Understanding the Problem

Knowing the problem you are trying to solve is the most important part of solving it. You must understand the problem you are trying to predict, all constraints, and the end goal of this project.

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2. Know Your Data

Knowing what your data means will help you understand which models are most effective and which features to use. The data problem will determine which model is most successful. Also, the computational time will impact the project’s cost.

You can improve or mimic human decision-making by using and creating meaningful features. It is crucial to understand the meaning of each field, especially when it comes to regulated industries where data may be anonymized and not clear. If you’re unsure what something means, consult a domain expert.

3. Split your data

What will your model do with unseen data? If your model can’t adapt to new data, it doesn’t matter how good it does with the data it is given.

You can validate its performance on unknown data by not letting the model see any of it while training. This is essential in order to choose the right model architecture and tuning parameters for the best performance.

Splitting your data into multiple parts is necessary for supervised learning. The training data is the data the model uses to learn. It typically consists of 75-80% of the original data.

This data was chosen randomly. The remaining data is called the testing data. This data is used to evaluate your model. You may need another set of data, called the validation set.

This is used to compare different supervised learning models that were tuned using the test data, depending on what type of model you are creating.

You will need to separate the non-training data into the validation and testing data sets. It is possible to compare different iterations of the same model with the test data, and the final versions using the validation data.

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4. Don’t Leak Test Data

It is important to not feed any test data into your model. This could be as simple as training on the entire data set, or as subtle as performing transformations (such as scaling) before splitting.

If you normalize your data before splitting, the model will gain information about the test set, since the global minimum and maximum might be in the held-out data.

5. Use the Right Evaluation Metrics

Every problem is unique so the evaluation method must be based on that context. Accuracy is the most dangerous and naive classification method. Take the example of cancer detection.

We should always say “not cancer” if we want to build a reliable model. This will ensure that we are correct 99 percent of the time.

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6. Keep it simple

It is important to select the best solution for your problem and not the most complex. Management, customers, and even you might want to use the “latest-and-greatest.” You need to use the simplest model that meets your needs, a principle called Occam’s Razor.

This will not only make it easier to see and reduce training time but can also improve performance. You shouldn’t try to kill Godzilla or shoot a fly with your bazooka.

7. Do not overfit or underfit your model

Overfitting, also called variance, can lead to poor performance when the model doesn’t see certain data. The model simply remembers the training data.

Bias, also known as underfitting, is when the model has too few details to be able to accurately represent the problem. These two are often referred to as “bias-variance trading-off”, and each problem requires a different balance.

Let’s use a simple image classification tool as an example. It is responsible for identifying whether a dog is present in an image.

8. Try Different Model Architectures

It is often beneficial to look at different models for a particular problem. One model architecture may not work well for another.

You can mix simple and complex algorithms. If you are creating a classification model, for example, try as simple as random forests and as complex as neural networks.

Interestingly, extreme gradient boosting is often superior to a neural network classifier. Simple problems are often easier to solve with simple models.

9. Tune Your Hyperparameters

These are the values that are used in the model’s calculation. One example of a hyperparameter in a decision tree would be depth.

This is how many questions the tree will ask before it decides on an answer. The default parameters for a model’s hyperparameters are those that give the highest performance on average.

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10. Comparing Models Correctly

Machine learning has the ultimate goal of creating a model that is generalizable. It is important to select the most accurate model by comparing and choosing it correctly.

You will need a different holdout than the one you used to train your hyperparameters. You will also need to use statistical tests that are appropriate to evaluate the results.

How To Hide Holidays On Calendar For Mac

Don’t want to see dozens of holidays on the Calendar for Mac? You can easily disable the Holiday Calendar in the Mac Calendar app. By turning off the Holiday Calendar, you will no longer see the broad array of religious holidays, cultural holidays, national holidays, political holidays, and other holidays on the Calendar app for Mac, this can be helpful to some users if they find the multi-dozens of holidays do not apply to them.

How to Disable Holidays on Calendars for Mac

If you want to hide the myriad Holidays from displaying on Mac Calendar, here is how to do that:

Open the Calendar app on Mac

Locate the “US Holidays” or “Holidays” calendar in the left side bar, then uncheck the box next to that to hide the Holiday Calendar

Repeat if you see multiple instances of Holiday calendars in the left side bar

Next go to the “Calendar” menu and choose “Preferences”

Under the ‘General’ section of Preferences, uncheck the box next to “Show Holiday Calendar”

Close the Preferences and use Calendar app as usual

A nice side effect of disabling the Holiday Calendar on Mac is you will also no longer get alert notifications for every holiday too, without having to disable notifications for the entire Calendar for Mac app.

If you are disabling Holiday Calendars on Mac OS, you might also be interested in hiding Holiday Calendars on iPhone and iPad too if you’re also an iOS user.

The Mac Holiday Calendar default is very inclusive of a large swath of holidays for many cultures, in the US it includes everything from Chinese New Year, Boxing Day, Holi, Christmas Eve, Christmas, Kwanza, Hanukah, Ramadan, Cinco De Mayo, New Years Eve, New Years, Memorial Day, Presidents Day, Flag Day, Mother’s Day, Father’s Day, St Patricks Day, Palm Sunday, Easter, Orthodox Easter, Earth Day, Good Friday, Passover, April Fool’s Day, Martin Luther King Jr Day, Groundhog Day, Valentines Day, Eid Al-Fitr, Flag Day, Labor Day, Ashura, Rosh Hoshanah, Eid Al-Adha, Independence Day, Yom Kippur, Columbus Day, Indigenous Peoples Day, Halloween, Diwali, Veterans Day, Thanksgiving, Inauguration Day, and others too, you can see them all if you go to each month and tap on the holidays individually, or using Calendar List View on the Mac and navigating to view the many holidays that way. This expansive Holiday list is shared with the Holiday Calendar on iPhone and iPad as well, and likewise you can also disable the Holiday Calendar on iPhone or iPad if you don’t want several dozen holidays crowding on your iOS Calendar either.

How do I remove certain holidays from the Calendar?

Since it’s reasonably likely that most people won’t be celebrating and observing all of those holidays, you may want to remove some specific holidays from the Calendar.

If you want a custom holiday calendar for your particular needs the best thing to do is to hide the default Holiday Calendar as shown in this article, and then manually add the few holidays that do apply to you personally.

Currently there is no way to selectively disable or delete some holidays from the Mac Calendar while allowing for others, it’s either the huge list of holidays or nothing.

Why do I have multiple entires of the same holidays on my Calendar?

If you see multiple instances of the same holidays in Calendar for Mac, it may be because you have multiple holiday calendars enabled. This can mean having some variation of iCloud Holiday Calendars enabled, sharing a calendar with someone else who has holidays listed in their calendar, you are subscribed to a different calendar, or perhaps enabled the Holiday Calendar at some prior point and that calendar was somehow duplicated as you upgraded MacOS throughout the years. The solution to this is to disable the duplicate holiday calendars, unsubscribe from the duplicate holiday calendars, or to delete them entirely.

How do I delete the US Holidays Calendar on Mac?

Confirm that you want to delete all of those holidays from Calendar on the Mac to complete the removal of that calendar and related holidays.

Related

Top 10 Ai Tools For Academic Research

Following is a list of the top 10 AI tools for academic research helpful for researchers

Scholars and Students have devoted countless hours to academic research and writing throughout history. Even though researchers now have access to more information and AI tools than ever before thanks to technology and the internet, it can be challenging to find the right AI tools for research.

Scholars and researchers require assistance sorting through and organizing sources due to the abundance of information available today. In addition, scholars and researchers must write informative, engaging, and well-written articles and reports due to the ongoing pressure to publish. Here is the list of AI tools for academic research.

1. Consensus: 2. ChatPDF:

Users can converse with a PDF document through the AI application ChatPDF. Without signing in, users can interact with any PDF they own, such as books, research papers, manuals, articles, and legal documents. To comprehend the content of PDF files and provide pertinent responses, ChatPDF makes use of a next-generation AI model comparable to ChatGPT.

3. Scite:

Scite’s Assistant, an AI-powered research tool, lets users work together on essays and research papers, find evidence to back up their claims and find evidence to refute them. Clients might enter straightforward questions to get reactions in light of the total texts of exploration distributions. The application can be used by users to find reliable information, search through millions of research articles, and create grant proposals or essay drafts.

4. Elicit:

Elicit, a machine learning tool, is used by the AI research assistant to help automate research procedures. Without specific keyword matches, it can locate relevant articles and extract important information. Inspire may likewise give different exploration exercises, including conceptualizing, summing up, and text-order, as well as summing up central issues from the report that are pertinent to the client’s request.

5. Trinka:

Online sentence structure checker and language proofreader Trinka artificial intelligence was made for specialized and scholastic composition. It is made to catch errors that other grammar checkers miss, like issues with subject-verb agreement, syntax, word choices, the use of pronouns and articles, and technical spelling. In addition, it incorporates a professional tone, the use of technical words, conciseness that goes beyond grammar and spelling, and style guides.

6. Scholarcy:

The online summarizing tool Scholarcy is a simple way to quickly examine and evaluate the significance of documents like articles, reports, and book chapters. Any Word or PDF document can be used to create summary flashcards that are displayed in an organized and easy-to-understand manner.

7. Academic Semantics:

The vast majority know about Google Researcher, which uses Google’s web search tool ability to list academic distributions. But if you’re doing any kind of scientific research, you should try Semantic Scholar. This AI-powered search and discovery tool, made available by publisher partnerships, data suppliers, and web crawls, enables you to keep up with more than 200 million academic publications.

8. Bit.ai:

Utilizing the internet to find information is a blessing. The amount of data that is accessible and the fact that it can be found in a variety of formats, such as blogs, essays, films, infographics, and images, present two challenges. Finding and organizing all of the data related to your study’s many areas might take a lot of effort.

9. SciSpace:

SciSpace is a platform driven by AI that lets people read, understand, and submit scientific articles. Its extensive searchable database contains more than 270 million articles, authors, subjects, journals, and conferences. It also offers a variety of paper template choices, a variety of pricing options, and additional services to speed up the printing process.

10. OpenRead:

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