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We Finally Understand What Happened Before the Big Bang

For decades, we were taught the universe is 13.8 billion years old. Textbooks repeated it. Documentaries swore by it. Every model of cosmic history depended on it.
But now the numbers are breaking.

The James Webb Space Telescope is detecting galaxies that shouldn’t exist, stars older than our timeline allows, and cosmic structures so mature they overturn everything we thought we understood.
Reality is being rewritten in real time.

New evidence points to a universe that could be 26.7 billion years old – nearly double the age we believed. And if that’s true, then the biggest question becomes unavoidable.
What came before the Big Bang?

The answer is colder, emptier, and far stranger than anything in standard cosmology.
Get ready. We’re going back to the moment before everything.

COPYRIGHT DISCLAIMER:
All content in this video is original or sourced from licensed royalty-free libraries. Scientific material is used under fair use for educational analysis. The script, narration, music, SFX, and visuals are produced using legally obtained and properly credited resources.

This Changes Everything! What Euclid Saw in 1.2 Million Galaxies Will Surprise You

Euclid’s first data release is here — and it’s already transforming our understanding of galaxy evolution, black hole growth, and the hidden structure of the Universe. From secondary galactic nuclei to rare ionized systems and newly revealed dwarf galaxies, Euclid is opening a new chapter in cosmology. To learn more about Euclid’s First Data Release, you can watch our full video on YouTube.

Paper link : https://arxiv.org/pdf/2503.

Chapters:
00:00 Introduction.
00:49 DISCOVERY
03:59 SCIENTIFIC IMPORTANCE & THEORIES
07:17 IMPLICATIONS & WHAT’S NEXT
10:49 Outro.
11:03 Enjoy.

MUSIC TITLE : Starlight Harmonies.

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Podcast with Chuck Brooks, Adjunct Professor at Georgetown University and President of Brooks Consulting International — Quantum Computing Report

In this episode of The Quantum Spin by HKA, host Veronica Combs discusses the intersections of quantum technology and cybersecurity with Chuck Brooks, an adjunct professor at Georgetown University and the president of Brooks Consulting International. Chuck discusses how the evolution of technology, particularly AI and quantum computing, has dramatically transformed cybersecurity. The conversation also touches on the role of CISOs, the integration of new technologies, and the importance of ongoing education and adaptation in the face of rapidly changing technologies.

00:00 Introduction to Quantum Spin Podcast 00:34 Guest Introduction: Chuck Brooks 00:46 Chuck Brooks’ Career Journey 02:09 Evolution of Cybersecurity 02:47 Challenges for CISOs 04:27 Quantum Computing and Cybersecurity 07:43 Future of Quantum and AI 10:51 Disruptive Technologies in Organizations 15:15 AI in Academia and Professional Use 17:06 Effective Communication on LinkedIn 18:23 Conclusion and Podcast Information.

Chuck Brooks serves as President of Brooks Consulting International with over 25 years of experience in cybersecurity, emerging technologies, marketing, business development, and government relations. He also is an Adjunct Professor at Georgetown University in the Cyber Risk Management Program, where he teaches graduate courses on risk management, homeland security, and cybersecurity.

Cellular senescence related gene signature predicts prognosis and immune features in skin cutaneous melanoma

Skin cutaneous melanoma (SKCM) is the deadliest skin cancer, with rising global incidence. Cellular senescence plays an essential role in tumorigenesis, progression, and immune modulation in cancer, however, its role in SKCM prognosis and immunotherapy response remains unclear.

We analyzed 279 senescence-related genes (SRGs) in 469 patients with SKCM from The Cancer Genome Atlas. A cellular senescence-related signature (CSRS) was constructed using univariate and LASSO Cox regression analyses. Kaplan-Meier survival curves and receiver operating characteristic (ROC) analyses were used to evaluate its predictive performance. Consensus clustering based on SRG expression stratified patients into distinct subgroups. External validation was performed using the GSE65904 dataset. We further assessed the association between CSRS, immune cell infiltration, and immunotherapy response. Additionally, immunohistochemistry validated the expression of prognosis-related SRGs and functional assays explored the role of RuvB-like AAA ATPase 2 (RUVBL2) in SKCM cells.

The CSRS effectively stratified patients with SKCM into high-and low-risk groups with significantly different survival outcomes and immune profiles. Moreover, our results suggest that higher levels of cellular senescence may enhance immunosurveillance and promote tumor suppression via a senescence-associated secretory phenotype-dependent mechanism. Based on the expression profiles of 113 SRGs, patients were classified into three distinct clusters, with Cluster 1 associated with the poorest prognosis. Among the identified SRGs, RUVBL2 was markedly upregulated in SKCM cells and its knockdown inhibited cell proliferation.

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