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Source channel @githubtrending · Post #14806 · Jun 8

#other Here’s a simple summary of the most important information and its benefit to you get enough good sleep, avoid smoking, move your body every day, and eat less sugar—doing just these four can make a big difference. The text also shares tips from neuroscience, like getting sunlight in the morning to help wake up and feel better, and avoiding bright lights at night to sleep well. Eating mostly plants and fermented foods helps your gut and immune system, while timing your meals (like eating in an 8-hour window) can boost your health and even help you live longer. The text also explains how your brain’s chemicals, like dopamine, affect your mood and motivation, and how you can use simple tricks—like taking breaks, trying new things, or doing light exercise—to stay focused and happy. The benefit is that you can feel better, think clearer, and stay healthier by making small, smart changes to your daily routine. https://github.com/zijie0/HumanSystemOptimization

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ALL About RSS

@AboutRss · Post #876 · 11/19/2020, 01:00 AM

FeedIt trainable RSS reader 登陆 iOS APP Store 频道提及过的机器学习型 #RSS阅读器#FeedIt 在其安卓版和线上版后发布了 #iOS 版: https://apps.apple.com/us/app/feedit-rss-reader/id1538541609 发现于 https://twitter.com/RSSCircus/status/1328955086152806401

ALL About RSS

@AboutRss · Post #840 · 10/13/2020, 01:00 AM

FeedIt :利用机器学习进行文章喜好排序的在线 #RSS阅读器 还记得在 Reddit 上看到个贴,说 Ta 唯一不喜欢 RSS 订阅的一点是:阅读器把所有文章一视同仁,不能告诉 Ta 哪个重要、哪个不重要。回帖里自然有人教育道:RSS 订阅的特色就是没有谁帮你决定哪个重要、哪个不重要。 当然,该帖里也提到,除了关键词过滤或给 Feeds 按重要程度分组外,有几家阅读器可以给文章打分,并以分数改变其排序。比如 #TTRSS 的 Scoring 。 现在,更 fancy 的来了。 #FeedIt 让你可以通过给文章以及文章关键词打“赞”和“踩”来用机器学习训练阅读器对你喜好的把握;一段时日之后,就可以让阅读器按你的喜好来给文章排序了。对于那些订阅很多 Feeds 的玩家,说不定也是条路。 官网在此,自带 #Android App : https://feedit.sk/ 发现于 Reddit 。到底是高大上还是本末倒置,欢迎留言讨论。