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Taxonomy of Bacteria: Identification and Classification

We’ve been looking at bacteria for a few centuries now, so how do we categorize them? We love to classify things and put them in groups, so how does that work for bacteria? Well let’s learn about Gram-staining, antigens, other phenotypic and genotypic properties, and we will be well on our way to understanding this process!

Script by Kellie Vinal.

Watch the whole Microbiology playlist: http://bit.ly/ProfDaveMicrobio.

General Chemistry Tutorials: http://bit.ly/ProfDaveGenChem.
Organic Chemistry Tutorials: http://bit.ly/ProfDaveOrgChem.
Biochemistry Tutorials: http://bit.ly/ProfDaveBiochem.
Biology/Genetics Tutorials: http://bit.ly/ProfDaveBio.
Anatomy & Physiology Tutorials: http://bit.ly/ProfDaveAnatPhys.
Biopsychology Tutorials: http://bit.ly/ProfDaveBiopsych.
Immunology Tutorials: http://bit.ly/ProfDaveImmuno.
History of Drugs Videos: http://bit.ly/ProfDaveHistoryDrugs.

EMAIL► [email protected].
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The Genius Spiders Changing How We Think About Brains

Go to https://complexly.store/ to support Complexly this holiday season!

Despite having a brain the size of a pinhead, jumping spiders in the genus Portia can plan ahead, learn through trial and error, and even lie. How are they so smart? They’re changing what we know about cognition.

Hosted by: Hank Green (he/him)
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Sources: https://docs.google.com/document/d/e/2PACX-1vSt2UpXpSNlJiOu8…XBdFEF/pub

Moving the Earth

Discover how to move worlds and forge new stars.
Go to the link: https://imprintapp.com/isaacarthur to get 25% off an annual membership.

Visit our Website: http://www.isaacarthur.net.
Join Nebula: https://go.nebula.tv/isaacarthur.
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SFIA Discord Server: https://discord.gg/53GAShE
Credits:
Beyond Alpha Centauri.
Written, Produced & Narrated by: Isaac Arthur.
Editor: Keith Oxenrider.
Select imagery/video supplied by Getty Images & Jeremy Jozwik.
Music by Epidemic Sound: http://nebula.tv/epidemic & Stellardrone & Chris Zabriskie.

Chapters.
0:00 Intro.
1:42 Ways the Sun Could Die.
4:20 Surviving a Frozen Earth.
13:11 Moving the Earth.
18:56 Imprint.
19:02 Evacuating Earth.
22:17 The Library of Everything.
22:51 Cold Sleep and Digital Arks.
25:18 Starlifting, Refueling, and Making New Suns.

Nick Bostrom: What Happens When AI Evolves Faster Than Humans?

The journey “Up from Eden” could involve humanity’s growth in understanding, comprehending and appreciating with greater love true and wisdom, shaping a future worth living for.


AI is accelerating faster than human biology. What happens to humanity when the future moves faster than we can evolve?

Oxford philosopher Nick Bostrom, author of Superintelligence, says we are entering the biggest turning point in human history — one that could redefine what it means to be human.

In this talk, Bostrom explains why AI might be the last invention humans ever make, and how the next decade could bring changes that once took thousands of years in health, longevity, and human evolution. He warns that digital minds may one day outnumber biological humans — and that this shift could change everything about how we live and who we become.

Superintelligence will force us to choose what humanity becomes next.

Focus on Your Algorithm—NVIDIA CUDA Tile Handles the Hardware

With its largest advancement since the NVIDIA CUDA platform was invented in 2006, CUDA 13.1 is launching NVIDIA CUDA Tile. This exciting innovation introduces a virtual instruction set for tile-based parallel programming, focusing on the ability to write algorithms at a higher level and abstract away the details of specialized hardware, such as tensor cores.

CUDA exposes a single-instruction, multiple-thread (SIMT) hardware and programming model for developers. This requires (and enables) you to exhibit fine-grained control over how your code is executed with maximum flexibility and specificity. However, it can also require considerable effort to write code that performs well, especially across multiple GPU architectures.

There are many libraries to help developers extract performance, such as NVIDIA CUDA-X and NVIDIA CUTLASS. CUDA Tile introduces a new way to program GPUs at a higher level than SIMT.

Phages Carrying Silver Nanoparticles Could Combat Antibiotic Resistance

In a recent study, Bagchi and her colleagues discovered that together, silver nanoparticles scaffolded onto phages killed bacteria more potently than either component alone.

This suggests that the conjugates may be a new, promising weapon in the fight against antibiotic resistance.

Read more: https://bit.ly/3KKm5D4


In a recent study, researchers wanted to “take advantage of both worlds,” said Damayanti Bagchi, a material chemist who led the work as a postdoctoral researcher in Irene Chen’s laboratory at the University of California, Los Angeles.1 For the first time, Bagchi and her colleagues synthesized silver nanoparticles using phages called M13, which they also used as a scaffold for the nanoparticles. The silver particle and M13 phage conjugate killed bacteria more effectively than each component alone. The conjugate also slowed down the development of bacterial resistance. This work, published in Langmuir, expands researchers’ arsenal of weapons in their fight against antibiotic resistance.

“This is quite new, using phages as scaffolds [for silver nanoparticles]. I find it very exciting,” said Timea Fernandez, a biochemist at Winthrop University who was not involved in the study.

Unlocking the Potential of the Microbiome in Cancer Therapy

Colorectal cancer (CRC) is closely linked to gut microbiota dysbiosis. We synthesize evidence that carcinogenic microbes promote CRC through chronic inflammation, bacterial genotoxins, and metabolic imbalance, highlighting key pathways involving Fusobacterium nucleatum, pks+Escherichia coli, and enterotoxigenic Bacteroides fragilis (ETBF). Building on these mechanisms, we propose a minimal diagnostic signature that integrates multi-omics with targeted qPCR, and a pathway–therapy–microbiome matching framework to guide individualized treatment. Probiotics, fecal microbiota transplantation (FMT), and bacteriophage therapy show promise as adjunctive strategies; however, standardization, safety monitoring, and regulatory readiness remain central hurdles. We advocate a three-step path to clinical implementation—stratified diagnosis, therapy matching, and longitudinal monitoring—supported by spatial multi-omics and AI-driven analytics. This approach aims to operationalize microbiome biology into deployable tools for risk stratification, treatment selection, and surveillance, advancing toward microbiome-informed precision oncology in CRC.

Colorectal cancer (CRC) is one of the most prevalent malignant tumors worldwide. According to the latest data released by the International Agency for Research on Cancer (IARC), the global incidence of CRC is expected to exceed 3.2 million new cases in 2040, with nearly 1.6 million deaths, ranking third among all cancers after breast and lung cancer (Morgan et al., 2022). While early detection rates are relatively high in some developed countries, such as the United States and European nations, due to well-established screening programs, the situation remains critical in developing regions including India and Africa, where screening coverage is limited and over 60% of cases are diagnosed at advanced stages (Lee and Holmes, 2023). This “high-incidence and high-mortality” pattern not only poses a significant threat to public health but also imposes a considerable burden on global healthcare systems.

With the rapid development of high-throughput sequencing, metagenomics, and metabolomics, the role of the gut microbiota in human health and disease has drawn increasing attention (Fan and Pedersen, 2020). Gut microbes maintain intestinal homeostasis and host immunity. They also contribute to CRC via chronic inflammation, bacterial genotoxins, oxidative stress, and dysregulated microbial metabolites (Dougherty and Jobin, 2023; White and Sears, 2023). Given that the colon and rectum harbor a highly dense microbial ecosystem, gut microbiota dysbiosis is now considered a pivotal environmental factor contributing to CRC onset and progression.

Who’s Really Winning At Longevity? (Featuring @Unaging.Crissman.Loomis)

Join us on Patreon! https://www.patreon.com/MichaelLustgartenPhD

Discount Links/Affiliates:
Blood testing (where I get the majority of my labs): https://www.ultalabtests.com/partners/michaellustgarten.

At-Home Metabolomics: https://www.iollo.com?ref=michael-lustgarten.
Use Code: CONQUERAGING At Checkout.

Clearly Filtered Water Filter: https://get.aspr.app/SHoPY

Epigenetic, Telomere Testing: https://trudiagnostic.com/?irclickid=U-s3Ii2r7xyIU-LSYLyQdQ6…M0&irgwc=1
Use Code: CONQUERAGING

NAD+ Quantification: https://www.jinfiniti.com/intracellular-nad-test/

Slow-Tempo Music and Delirium/Coma-Free Days Among Older Adults Undergoing Mechanical Ventilation: A Randomized Clinical Trial

A slow-tempo music intervention did not reduce delirium duration, severity, pain, or anxiety in mechanically ventilated older adults in the ICU.


Question Among critically ill, mechanically ventilated older adults in the intensive care unit, does a music-listening intervention reduce delirium, pain, or anxiety?

Findings In this randomized clinical trial of 158 mechanically ventilated older adults, a twice-daily music intervention delivered via noise-canceling headphones and tablets for up to 7 days did not demonstrate a statistically significant decrease in delirium duration, delirium severity, pain, or anxiety.

Meaning A music-listening intervention did not improve delirium, pain, or anxiety among critically ill older adults.

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