聊聊Sci
淼淼Elva聊聊Science和Nature！
| Publishes | Daily | Episodes | 660 | Founded | 9 months ago |
|---|---|---|---|---|---|
| Language |  Vietnamese | Number of Listeners | Category | Science |
Listen to this Podcast
Latest Episodes
这篇发表在《Cell Stem Cell》上的研究报告了一项利用人多能干细胞高效诱导A10样中脑多巴胺神经元的新突破。研究团队发现，在分化后期通过Notch信号通路抑制剂配合特定因子（GDNF和AA），可精准驱动前体细胞向A10亚型特化。实验证明，这些衍生的神经元在基因表达和电生理特性上与内源性神经元高度一致，并具备谷氨酸共释放能力。移植实验显示，A10样神经元能特异性重建受损的中脑皮层边缘多巴胺通路，并精准投向伏隔核等目标区域。通过药理遗传学手段激活这些移植物，能显著改善抑郁模型小鼠的焦虑及快... more
这份研究报告介绍了一种利用人类多能干细胞重建胰岛的新技术。科研人员成功培育出包含全部五种内分泌细胞亚型的类胰岛组织，并实现了对其细胞比例的精准调控。通过在患有糖尿病的小鼠身上进行移植实验，这些重建胰岛展现了卓越的双向血糖调节能力。该项成果最显著的突破在于其能有效防止低血糖的发生，弥补了以往干细胞疗法在安全性上的短板。这为糖尿病患者提供了一种更具生理功能的细胞替代疗法，有助于恢复人体自然的代谢平衡。
References:
• Meng G, Gu J, Liew S Y, et al. ... more
这项研究介绍了一种专为清醒小鼠设计的3D实时运动校正（3D-RTMC）平台，旨在克服活体成像中的位移干扰。研究人员通过双色电压-钙成像系统，利用由单细胞电穿孔标记的相邻神经元作为参考点，实现了对海马体CA1区神经元胞体与树突电信号的超快速、高分辨率同步监测。实验结果揭示了反向传播动作电位（bAPs）在树突中的距离依赖性衰减规律，并发现神经元爆发式放电比单次脉冲能更有效地传导至远端树突。此外，研究还证明了树突的分支结构会导致电压信号与钙信号逐渐解耦，这意味着树突的不同分支可以作为独立的计算单元进行... more
这篇文章探讨了神经元群体活动、单神经元功能特性与底层循环网络结构之间的复杂联系。作者提出了一个结合神经场理论与低秩循环神经网络（RNN）的统一理论框架，旨在揭示电路拓扑如何塑造神经流形及其潜动力学。研究发现，虽然不同的电路结构可能产生相同的群体动力学，表现出某种简并性，但电路结构依然会对神经活动施加特定的对称性约束和拓扑限制。通过这种建模方法，科学家可以利用观察到的神经活动特征来推断或验证潜在的生物电路模型。该研究不仅填补了宏观群体动力学与微观连接结构之间的理论空白，也为设计更符合实际记录数据的... more
Key Facts
Similar Podcasts
People also subscribe to these shows.
Reviews
- 我最喜欢的播客之一，谢谢淼淼Elva
One of my favorite podcasts, thanks, 淼淼Elva
Apple Podcasts5TylerZou
China5 months ago - AI生成播客
选题挺好，真人聊就好了
Apple Podcasts1Yuantai SunChina6 months ago
Chart Rankings
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #37 | China/Science |
Apple Podcasts | #163 |  Singapore/Science |
Apple Podcasts | #188 |  Hong Kong/Science |
Apple Podcasts | #200 |  Sweden/Science |
Audience Metrics
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | Gender Skew | Location | |||
|---|---|---|---|---|---|
| Interests | Professions | Age Range | |||
| Household Income | Social Media Reach | ||||
Frequently Asked Questions About 聊聊Sci
Where can I find podcast stats for 聊聊Sci?
Rephonic provides a wide range of podcast stats for 聊聊Sci. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to 聊聊Sci and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
How many listeners does 聊聊Sci get?
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for 聊聊Sci, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
What are the audience demographics for 聊聊Sci?
Rephonic provides comprehensive predictive audience data for 聊聊Sci, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
How many subscribers and views does 聊聊Sci have?
To see how many followers or subscribers 聊聊Sci has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Which podcasts are similar to 聊聊Sci?
These podcasts share a similar audience with 聊聊Sci:
1. Paper Talk
2. 知行小酒馆
3. 声动早咖啡
4. 硅谷101
5. 岩中花述
How many episodes of 聊聊Sci are there?
聊聊Sci launched 9 months ago and published 660 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact 聊聊Sci?
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Where can I see ratings and reviews for 聊聊Sci?
Rephonic pulls ratings and reviews for 聊聊Sci from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
How do I access podcast episode transcripts for 聊聊Sci?
Rephonic provides full transcripts for episodes of 聊聊Sci. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.