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ELAVAIT combines the knowledge of leading experts in the fields of sports science, artificial intelligence, nutrition and sleep. Each of the team members of ELAVAIT is an expert in their fields of medicine and rehabilitation, artificial intelligence, smart applications, business, local market expertise and network.
According to users’ workout habits and injury histories, ELAVAIT excludes potentially harmful exercises for users from out of over 700 available exercises.
ELAVAIT’s users monitor their workout performance through heart rate. The measurements will be taken by way of a sports watch and the accelerometer, GPS and heart rate data from the device. During the workout, we will constantly analyse the gathered data and define the personal fitness plan for our athletes.
Our mission is to bring affordable, highly effective and personalized health plans which include fitness training and recovery recommendations to everyone who has a smartphone. We want to democratize the excellent education and unique experience of our advisors and founders, so everyone can benefit from the knowledge and experience of highly-trained specialists. Instead of spending a ton of money and time on looking for a qualified personal trainer and recovery specialist, ELAVAIT provides the all-in-one solution. We want to enable everyone to work out anywhere they can, anytime they want at an affordable price.
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Based on our record, The New York Times seems to be more popular. It has been mentiond 123 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
I wonder if you could construct a hash collision for high pagerank sites in the google (or Bing) index. You would need to know what hash algorithm google uses to store URLs. This is assuming that they hash the URLs for their indexing. Which surely they do. MD5 and SHA1 existed when google was founded, but hash collisions weren't a big concern until later IIRC. You'd want a fast algorithm because you're having to... - Source: Hacker News / 3 months ago
If we (the library) want to provide access to something like the nytimes.com or economist.com websites, what we can do is essentially bulk purchase, at some discount, subscriptions that can be claimed by our users. While this may work for a university campus, it doesn't scale well for a public library for both budgetary and logistical reasons. Source: 5 months ago
I tried to link my friends a NYTimes article but it tells me "www.nytimes.com is blocked. nytimes.com refused to connect. ERR_BLOCKED_BY_RESPONSE" and then automatically tries to load a .onion link in a tor window. Source: 6 months ago
Hello! My goal is to be able to automate tab-closing in Safari. I have hundreds of tab groups in Safari and many contain web pages that I no longer need. It would take me days to organize and manually go through them to close them. For example. I would love to close any tab that contains "gmail.com" or "nytimes.com" etc. Source: 9 months ago
It's lazy to know that the NYT writes an article and google search that article. Go to the browser and type nytimes.com. Source: 10 months ago
Fashionphile - Fashionphile is a luxury fashion shopping platform with the objective of showcasing high-quality luxury products to consumers who have discerning tastes.
CNN - View the latest news and breaking news today for U.S., world, weather, entertainment, politics and health at CNN.com.
Onyx by Titanium - This website provides operating system utilities for macOS
News as Facts - Verified Factual News from Media Bias Fact Check
Lookbook - Post and find outfits and styles
Slackbot Workout - A slackbot to get your team in shape