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Lung cancer is not the most common form of cancer, but it is by far among the deadliest. Despite treatments such as surgery, radiation therapy, and chemotherapy, only about a quarter of all people with the disease will live more than five years after diagnosis, and lung cancer kills more than 1.8 million people worldwide each year, according to the World Health Organization.

To improve the odds for patients with lung cancer, researchers from The University of Texas at Arlington and UT Southwestern Medical Center have pioneered a novel approach to deliver cancer-killing drugs directly into cancer cells.

“Our method uses the patient’s own cellular material as a to transport a targeted drug payload directly to the cells,” said Kytai T. Nguyen, lead author of a new study on the technique in the journal Bioactive Materials and the Alfred R. and Janet H. Potvin Distinguished Professor in Bioengineering at UTA.

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We all travel through space time at speed of light. But, what does it really mean? How does it explain the consequences of special relativity — time dilation, length contraction, relativity of simultaneity, and more.

Chapters:
00:00 Intro.
01:25 A 2D analogy.
04:15 How to validate?
07:08 How Pythagorus helps.
08:40 How to piece a website (Ad)
10:15 Speed in 4D spacetime.
13:30 Why length contracts along motion.
16:30 Simultaneity \& clock desynchronisation.
18:17 Revising the Twin’s ‘paradox’
19:36 Why 3 spacial dimensions \& 1 time dimension?

Nucleases present a formidable barrier to the application of nucleic acids in biology, significantly reducing the lifetime of nucleic acid-based drugs. Here, we develop a novel methodology to protect DNA and RNA from nucleases by reconfiguring their supramolecular structure through the addition of a nucleobase mimic, cyanuric acid. In the presence of cyanuric acid, polyadenine strands assemble into triple helical fibers known as the polyA/CA motif. We report that this motif is exceptionally resistant to nucleases, with the constituent strands surviving for up to 1 month in the presence of serum. The conferred stability extends to adjacent non-polyA sequences, albeit with diminishing returns relative to their polyA sections due to hypothesized steric clashes. We introduce a strategy to regenerate stability through the introduction of free polyA strands or positively charged amino side chains, enhancing the stability of sequences of varied lengths. The proposed protection mechanism involves enzyme failure to recognize the unnatural polyA/CA motif, coupled with the motif’s propensity to form long, bundling supramolecular fibers. The methodology provides a fundamentally new mechanism to protect nucleic acids from degradation using a supramolecular approach and increases lifetime in serum to days, weeks, or months.

We developed Significant Latent Factor Interaction Discovery and Exploration (SLIDE), an interpretable machine learning approach that can infer hidden states (latent factors) underlying biological outcomes. These states capture the complex interplay between factors derived from multiscale, multiomic datasets across biological contexts and scales of resolution.

Summary: Researchers unveiled a pioneering technology capable of real-time human emotion recognition, promising transformative applications in wearable devices and digital services.

The system, known as the personalized skin-integrated facial interface (PSiFI), combines verbal and non-verbal cues through a self-powered, stretchable sensor, efficiently processing data for wireless communication.

This breakthrough, supported by machine learning, accurately identifies emotions even under mask-wearing conditions and has been applied in a VR “digital concierge” scenario, showcasing its potential to personalize user experiences in smart environments. The development is a significant stride towards enhancing human-machine interactions by integrating complex emotional data.