#Article: Beyond the Standard Model by
#BigPictureScience #Podcast #Audio #Tunein http://tun.in/tBlBKI
#ArticleSummary: "Ever heard of a beauty quark? How about a glueball? Physics is full of weird particles that leave many of us scratching our heads. But these tiny particles make up everything in the quantum world and in us and are the basis of the fundamental scientific theory called The Standard Model. But it doesn’t explain everything. It can’t account for dark matter or dark energy, for example. We find out whether new physics experiments might force us to rewrite the Standard Model. Plus, we discuss a NASA proposal to fly spacecraft close to the sun in search of new physics. Guests: Phil Plait – Aka the Bad Astronomer, former astronomer on Hubble, teacher, lecturer and debunker of conspiracy theories. He is also the author of a new book “Under Alien Skies: A Sightseer’s Guide to the Universe.” Harry Cliff – Particle physicist at the University of Cambridge who works on the LHCb experiment at the largest particle physics laboratory in the world, CERN. He is the author of: “Space Oddities, The Mysterious Anomalies Challenging Our Understanding of the Universe.” Slava Turyshev – Research scientist at NASA’s Jet Propulsion Laboratory. Featuring music by Dewey Dellay and Jun Miyake. Big Picture Science is part of the Airwave Media podcast network."
By
#www.smukher2.com
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#smukher2 to
#Everyone:
#BigPictureScience is to Science, what
#FreakonomicsRadio is to Economics and
#PhilosophizeThis is to Philosophy. Now, this article, rather podcast episode is a fascinating discussion by physicists about the matter as it organizes and changes spatiotemporally in space. It reminded me of Richard Feynman's quote, "I, an atom in the universe; I, an universe of atoms," and Kierkegaard's insight on humans being a "synthesis of finite and infinite". It's intriguing to see how both science and philosophy converge on similar existential conclusions about existence. This inspired me to focus matter as it organizes and changes spatiotemporally in biological systems. In my research, I have focused on the integration of various omics datasets and the development of an integrated computational pipeline for this purpose. Recently, I successfully integrated different gene expression datasets related to heavy metal toxicity but all of one type (transcriptomics) and constructed a machine learning model using this integrated data, here HAL Archive France
https://hal.science/hal-04084188 . Currently, my goal is to expand this integration to include different types of omics data (not just transcriptomics) along with imaging data to build advanced machine learning models, deep learning algorithms, and knowledge graphs. I plan to share my work on the HAL Archive France, create tutorials, and make the codes openly available for the scientific community. While exploring multimodal data, I came across the concept of "multi-level" data organization, which highlights the hierarchical structure of organism from molecules to organisms. However, I noticed a common confusion regarding the term "multi-scale," where the term "scale" is often misinterpreted as level rather than spatial or temporal scale. So I want to clear the air on this, because this will be like the first chapter of
#fairwissenschaft foundations. Let me explain.
1. Multi-Levels in Biology:
• Biological systems can be studied at different organizational levels, including the molecular, cellular, tissue, organ, organism, population, and ecosystem levels. Each level has distinct properties and interactions contributing to the functioning of living organisms.
• Molecular Level: Involves the study of essential biological molecules such as DNA and proteins.
• Cellular Level: Focuses on the structure and function of cells, including processes like cell division and metabolism.
• Tissue Level: Involves groups of cells working together to perform specific functions, such as muscle and nervous tissue.
• Organ Level: Examines structures composed of different types of tissues working together to carry out specific functions in an organism, like the heart and lungs.
• Organism Level: Studies entire organisms as integrated systems with various organs working together.
• Population Level: Focuses on groups of individuals of the same species and their interactions in a particular area.
• Ecosystem Level: Encompasses all living organisms in a particular area along with their physical environment.
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