eSagan 🇮🇳 @crackurbones@qoto.org
Joined Nov 2019
In her book “Parasites: Tales of Humanity’s Most Unwelcome Guests”, Rosemary Drisdelle advances the idea that malaria could have been the cause of death for 50 billion people in human history, with most people killed between 8000BC and 1650AD https://buff.ly/2MTMSc8
🐤 https://twitter.com/Rainmaker1973/status/1235249124078997505?s=20
Gold-coated fabric that emits own light could be ultimate safety gear http://bit.ly/3cydhds
🐤 https://twitter.com/newscientist/status/1235251593941045248
People have been trying to harvest the energy of the world's oceans for centuries, but it is yet to become day-to-day renewable energy source. What's holding back the #waveenergy industry, and are the latest innovations any more promising?
https://physicsworld.com/a/turning-water-into-watts/
🐤 https://twitter.com/PhysicsWorld/status/1235251738111873024?s=20
#China's air pollutant levels dropped in February as a result of measures taken by the nation's government to reduce the risk of spreading coronavirus, the Copernicus Atmosphere Monitoring Service confirmed
https://edition.cnn.com/asia/live-news/coronavirus-outbreak-03-04-20-intl-hnk/h_61bc4237cdfe1836e6e3936a33c5cf9a?utm_content=2020-03-04T17%3A18%3A43&utm_source=twCNNi&utm_term=link&utm_medium=social
#Coronavirus: Sixth case confirmed, PM asks not to panic, visa suspended for 4 more nations https://in.news.yahoo.com/coronavirus-sixth-case-confirmed-pm-143704079.html?soc_src=social-sh&soc_trk=tw
The case was confirmed after the Italian patient's samples that were sent to the National Institute of Virology in #Pune tested positive. The 69-year-old man, part of a group of 20 tourists, is admitted to an isolation ward of the SMS Hospital. "The patient is in isolation and is stable," the Health Ministry said.
And the anatomy of the neurons is different in appearance. But, it's also different in the sense of what is a neuron connected to, what neurons are talking to it, and what neurons is it talking to. So the inputs and the outputs of each neuron are going to be different.
In addition to the anatomy, the other differences include excitability -- and this is essentially how talkative is the neuron; how much do you have to goad it to get it to say something.
Some neurons are talking all the time; and some neurons are very laconic, very unlikely to speak.
And finally, there's how do they speak? And what we're talking about is the neurotransmitter. What is the neurotransmitter -- or what's the chemical, the substance -- that the neuron uses?
There is also a difference in both speed -- whether is something fast or slow -- or also whether it's affirmative or or negative -- 'yes' or 'no', and how fast does it take you to get to 'yes' or 'no'.
This is the axon and you can see that it gives off these little terminals, and it also has places where there's just simply a swelling on root. So these are all synaptic, these swellings are synaptic terminals. The long slender projection of the nerve cell is an axon.
Image source: screenshot at 5:44 from https://www.coursera.org/learn/neurobiology/lecture/oGT73/neuronal-uniqueness-stars-of-the-sky
Neurons have four parts. The first is the cell body, also called the Soma. And this is the part that all cells have, this is cell central.
The cell body has coming out it from a number of dendrites, and these dendrites branch. And they continue to branch. And so, that makes a tree which we call the dendritic arbor or the dendritic tree.
And these dendrites are responsible for gathering in information. They're the sentries. They are the ears of the cell, of the neuron. They're taking in all information. So information is going in to the dendrites.
Axon carries the information along the length of it.
Neurons talk to neurons. But neurons also, go talk to muscles. And neurons talk to glands. And neurons talk to the cardiac, to the heart, to the cardiac muscle and so on.
Source of image: https://courses.lumenlearning.com/boundless-psychology/chapter/neurons/
This is how the spices look like before they are processed | The Times of India
https://timesofindia.indiatimes.com/life-style/food-news/this-is-how-the-spices-look-like-before-they-are-processed/photostory/74415941.cms
Your pet cannot get coronavirus. Here's why one dog tested positive
https://timesofindia.indiatimes.com/life-style/health-fitness/health-news/coronavirus-in-dogs-pets-your-pet-cannot-get-coronavirus-heres-why-one-dog-tested-positive/articleshow/74455441.cms
Ancient burial site found in Uttar Pradesh’s #Sinauli is 3,800-years old, indigenous warrior tribe inhabited the region
https://www.opindia.com/2020/02/uttar-pradesh-sinauli-3800-year-old-burial-site-warrior-tribe/
Rediscovering ‘Sunyata’: Unifying Buddhism and Vedanta
https://www.opindia.com/2020/02/rediscovering-sunyata-unifying-buddhism-and-vedanta/
Buddha was a great Vedantist (for #Buddhism was really only an offshoot of #Vedanta), and Shankara is often called a “hidden #Buddhist.” Buddha made the analysis, Shankara made the synthesis out of it. #Buddha never bowed down to anything—neither #Veda, nor caste, nor priest, nor custom. He fearlessly reasoned so far as the reason could take him. Such a fearless search for truth and such love for every living thing the world has never seen. #Buddha was the Washington of the religious world; he conquered a throne only to give it to the world, as Washington did to the American people. He sought nothing for himself.
A study published in Nature claims that natural language skills are a better predictor of ability to learn programming (Python) than mathematical aptitude https://nature.com/articles/s41598-020-60661-8
(Fluid reasoning and working-memory capacity was the best predictor)
Nothing in the wild goes to waste—not even a footprint https://t.co/VAKYJYtUE4
Older people who nap in the daytime are more than TWICE as likely to be diagnosed with heart disease
https://www.dailymail.co.uk/health/article-8064761/Older-people-nap-daytime-likely-diagnosed-heart-disease-cancer.html
Hang out in a greenhouse
https://www.reddit.com/r/CozyPlaces/comments/fc364y/hang_out_in_a_greenhouse/
It's a solarium, not a greenhouse.
Since the article is behind a paywall
Are you good at putting yourself in someone else’s shoes? Then there’s a good chance that you enjoy R&B. If, instead, you are drawn to take things apart to understand how they work, you likely prefer punk music.
That’s the conclusion of a new study on how musical tastes relate to cognition. “We wanted to address this longstanding question, Why do people like the music that they do?” says study author David Greenberg. “Because you could have one person, for example, who loves Metallica or Rage Against the Machine and then another who would rather listen to Joni Mitchell or Bob Dylan.”
The study, published this week in the online journal PLOS ONE, shows that the way someone thinks – his or her cognitive style – is a better predictor of the songs they’ll like than is their personality type.
\section{Music and Mind}
Personality measures are commonly used in psychological studies. Traditional tests measure five major personality traits: agreeableness, conscientiousness, extraversion, neuroticism, and openness to experience. Previous music research has focused on connections with these characteristics.
However, another way of looking at people’s minds is via so-called cognitive style, which ranges from empathetic to systemizing. Empathizers, on the one hand, are strongly interested in understanding others’ emotions and thoughts. At the other extreme, systemizers are more adept at identifying patterns and analyzing systems.
For the study, over 4,000 participants completed online questionnaires rating their agreement with such statements as “I can pick up quickly if someone says one thing but means another” or “If I were buying a stereo, I would want to know about its precise technical features.” Based on their answers, participants were scored somewhere on the spectrum from empathizer to systemizer. (You can take the test yourself here.)
The participants then listened to 50 musical excerpts, across a range of genres and musical dimensions. They ranked them on a scale from 1 (dislike extremely) to 9 (like extremely).
When they analyzed these results researchers found that empathizers were more likely to enjoy mellow music, such as R&B/soul, adult contemporary, and soft rock. Meanwhile, systemizers enjoyed more intense music, including punk, heavy metal, and hard rock. These traits better predicted musical tastes than any of the five standard personality traits.
And the findings held true even at very granular levels within a given musical genre. For example, highly empathetic individuals preferred mellow rock over intense rock, selecting Jeff Buckley’s “Hallelujah” over “Sabotage” by the Beastie Boys. The opposite was true for the systemizers.
\section {Emotion and Analysis}
The findings make sense in light of how we relate to music, both connecting with it emotionally and analyzing its composition. Empathetic individuals were inclined towards songs that were relaxing and melancholy, while systemizers enjoyed the fast-paced and complex examples.
Daniel Levitin, a musician, neuroscientist, and author of This is Your Brain on Music, feels that this study fits nicely into our broader understanding of how personal qualities shape our artistic inclinations. “This is situated within a series of studies that are pointing to the relationship of personalities and now brain styles… to an underlying aesthetic sense,” said Levitin. “Things that seem to have nothing to do with music can help us better understand musical preferences.”
🎻 🎶 You are what you listen to: Your Musical Tastes Reflect Your Thinking Style
https://www.discovermagazine.com/mind/your-musical-tastes-reflect-your-thinking-style
🐤 https://twitter.com/DiscoverMag/status/1234425776587575296
[...] कुछ संकेतों के 32 बिट के #यूनिकोड में शुरू में शून्य ही शून्य हैं (जैसे अंग्रेजी के संकेतों के लिये)। यदि शुरुआती शून्यों को हटा दिया जाय तो इन्हें केवल 8 बिट के द्वारा भी निरूपित किया जा सकता है और कहीं कोई भ्रम या कांफ्लिक्ट नहीं होगा। इसी तरह रूसी, अरबी, हिब्रू आदि के यूनिकोड ऐसे हैं कि शून्य को छोड़ देने पर उन्हें प्राय: 16 बिट = 2 बाइट से निरूपित किया जा सकता है। #देवनागरी, जापानी, चीनी आदि को आरम्भिक शून्य हटाने के बाद प्राय: 24 बिट = तीन बाइट से निरूपित किया जा सकता है। किन्तु बहुत से संकेत होंगे जिनमें आरम्भिक शून्य नहीं होंगे और उन्हें निरूपित करने के लिये चार बाइट ही लगेंगे।
Joined Nov 2019
