by tenglvjun
Email Addresses
1 available
Phone Numbers
0 available
December 4, 2024
Irene Salinas博士探讨了肠道微生物群在人体中的重要作用，挑战了传统观念，暗示人类大脑中也可能存在微生物群。
November 29, 2024
<p>本期播客探讨了公钥加密技术的发展历程、工作原理及其在现代互联网中的应用。公钥加密通过使用一对密钥（公钥和私钥）来实现信息的加密和解密，解决了传统加密方法中密钥分发的难题。探讨了公钥加密的历史背景，包括其在1970年代由英国政府通信总部和美国研究人员独立发现，以及RSA算法的建立。此外，还讨论了公钥加密在数字签名和加密货币中的应用，以及量子计算机对公钥加密的潜在威胁和未来的应对策略。</p><p><a href="https://www.quantamagazine.org/how-public-key-cryptography-really-works-20241115/">原文链接</a></p>
November 26, 2024
<p>本期探讨了单腿站立时间作为评估身体衰老程度的最佳标志，并指出44岁和60岁是身体化学变化的关键时期。研究通过对不同年龄人群的蛋白质和代谢物分析，以及对40名个体的力量、平衡和步态测试，发现单腿站立时间与年龄的相关性最强，尤其是在非优势腿上。还提到了单腿站立时间与年龄之间的关系可能不是线性的，而是可能在60岁左右出现陡降。最后强调了即使提高单腿站立时间可能不会直接导致健康改善，但这一指标仍然是评估身体状况的一个有用标准。</p><p><a href="https://medium.com/zh/how-old-is-your-body-stand-on-one-leg-and-find-out-fcf8241107da">原文地址</a></p>
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at [email protected] for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.