Загрузка видео...

Не удалось загрузить видео

На главную

🔍 Check out the DIVOT Protocol — a simple yet powerful way to use Doppler with thoracic ultrasound to spot vessels before procedures like thoracentesis. By blending Doppler imaging with thoracic ultrasound, this protocol offers procedural clarity and boosts patient safety. A must-read for clinicians that could make a...

18,453 просмотров • 1 год назад •via X (Twitter)

Комментарии: 0

Нет доступных комментариев

Здесь появятся комментарии из оригинального поста

Похожие видео

🚨They CANNOT SCAN kilometers into SOLID ROCK! That is what skeptics of the Khafre Project’s findings say, and they are correct to point out that Synthetic Aperture Radar (SAR) can't do this. They are also TOTALLY MISTAKEN, here is why: The Khafre team are not using conventional SAR imaging in the way critics assume. They are using a patented form of SAR Doppler Tomography, pioneered by Prof. Filippo Biondi. This is not simple surface imaging. It is a phase-coherent interferometric method that detects subtle Doppler frequency shifts caused by internal micro-vibrations within dense structures. Instead of trying to penetrate rock, it “listens” to tiny seismic vibrations in the stone. Biondi’s trick is to capture micro-motions. Tiny seismic or structural tremors slightly shift the radar’s frequency (Doppler effect). By analyzing these Doppler shifts across multiple SAR images, they can reconstruct a 3D tomographic image of what’s inside, like a CT-scan from space. Prof. Filippop Biondi's patent (PCT/EP2023/064345) explicitly describes processing “coherent vibrational Doppler information” in SAR to allow penetrating 3D imaging "over a depth of several kilometers". In other words, it effectively turns the radar into a spaceborne sonar, using Earth’s natural vibrations to “sound” the subsurface, something ordinary SAR can’t do. A peer-reviewed Remote Sensing paper describes using COSMO-SkyMed SAR data to map new shafts and chambers inside Khufu . This case study in a scientific journal shows the technique in action (with high-res 3D results!). Beyond pyramids, the technique has practical uses. For bridges and infrastructure, Biondi’s SAR Doppler method can extract a structure’s “vibration profile” from orbit. That profile highlights cracks or damage. In one study the team applied it to Italy’s Morandi Bridge before it collapsed, SAR-based vibration maps showed unusual energy spikes right at the failing pylon. They even imaged deep tunnels. The HarmonicSAR site reports they “detected for the first time the Gran-Sasso Physics Laboratory at 1.4 km below the Earth using SAR”. In other words, their tomography saw a known underground lab 1400 m under Italy! They’ve also done scans of mountain tunnels (San Gottardo). Biondi was co-author on a 2016 Scientific Reports paper tracking Iraq’s Mosul Dam instability via SAR. That study used spaceborne radar to measure tiny ground motions around the dam over time. It shows that SAR micro-motion techniques can monitor slow structural shifts on a large engineering project. In short, SAR Doppler Tomography isn’t ordinary radar, it’s like using satellites and the Earth’s own background hum to “see” underground. Think of it as applying a CT-scan or ultrasound-like method from orbit. It’s unconventional, but it’s patent-backed and has some peer-reviewed results. RECIEPTS: Synthetic Aperture Radar Doppler Tomography Reveals Details of Undiscovered High-Resolution Internal Structure of the Great Pyramid of Giza Filippo Biondi's SAR/Doppler Patent Perspectives on the Structural Health Monitoring of Bridges by Synthetic Aperture Radar HarmonicSAR (Filippos Website) Mosul Dam SAR/Doppler Project

Jay Anderson

169,956 просмотров • 9 месяцев назад

Abdominal wall pain: differential diagnosis A 28-year-old soccer player presented with right periumbilical pain of 2 months' duration. An MRI was performed, which showed no abnormalities in the abdominal wall. He was diagnosed with anterior cutaneous nerve entrapment syndrome (ACNES), and perineural injection was performed, with no improvement in symptoms. He came to the clinic for a second opinion, presenting with tenderness on palpation of the middle third of the rectus abdominis muscle, which increased with trunk resistance flexion. The pain decreased after this test was performed after muscle inhibition. An ultrasound assessment was completed, revealing no abnormalities in the discomfort, but evidence of increased thickness and decreased echogenicity of the tendon at its origin in the pubic ramus, associated with significant pain on sonopalpation, related to tendinosis. An evaluation was completed with a thoracic spine examination, revealing significant pain at the level of the spinous process of T8 (the rectus abdominis muscle is innervated by the T7-T12 thoracoabdominal nerves). It was decided to treat the patient with ultrasound-guided injections around the rectus abdominis tendon with 1 cc of triamcinolone and 1 cc of 2% lidocaine, and periradicular injections of the right T8 muscle with 2 cc of betamethasone and 1 cc of 2% lidocaine. The symptoms resolved immediately, and the patient did not reappear during the following two months of follow-up.

sergio serrano belmar

18,963 просмотров • 1 год назад

In the second episode of Scenius Studio's mini-series "The Use-Case", I sit down with Andrej Co-Founder of touch grass. Grass gives users the ability to earn ownership in the Grass network by supplying the protocol with their unused internet bandwidth for data scraping purposes (something that is already happening to most of us and we don’t get paid!). The grass protocol packages this scraped web data and sells it to AI companies who have insufficient data to further develop their models. With over 3 millions users and millions of annualized revenue, Grass is a real commercial business with a roadmap that makes it one of the most exciting projects at the intersection of crypto x AI and data. In this episode we discuss: ➔ Andrej’s background in physics, finance, and sports betting ➔ Big companies using your IP address without your knowledge or permission ➔ How the Grass protocol puts a toll booth on your internet bandwidth highway ➔ Packaging web scraped data and selling it to AI companies building Multi-Modal models ➔ Dynamics between the Grass Protocol and the labs entity developing Grass’ IP ➔ Protocol design decisions to ensure that all tokenholders (VCs, team, and community) are aligned ➔ Why Grass needed to be built on crypto rails to maximize its potential ➔ The future of LLMs and how they will search for context and information Hope you enjoy this episode of Scenius Studio's "The Use-Case". Links to listen in bio or below👇

Ben Jacobs

22,468 просмотров • 1 год назад

A Smell Simulator That Uses Ultrasonic Waves Through Your Skull To Trick Your Brain Into Thinking Of A Smell That Is Not There. Instead of targeting your nose at all, the device directly targets the olfactory bulb in your brain with "focused ultrasound through the skull". The researchers say that as far as they're aware, no one has ever done this before, even in animals. “We found our ‘sweet spot’ to be low-frequency ultrasound focused right below the forehead and angled downward toward the bulbs. Specifically: • 300 kHz frequency (low enough to penetrate the skull well) • Focal depth of about 39 mm (where the ultrasound energy converged beneath the forehead) • 50–55° steering angles (to point the focus down toward the bulbs) • 5-cycle pulses at a 1200 Hz repetition rate (short, rapidly repeating bursts We distinguish between a smell and a sensation here because, subjectively, they feel different. The smells are strong and localized to the noise, almost like you could sniff around and find the source. The sensations are more diffuse: a weak, slow-onset impression of a smell, often paired with other (likely placebo) feelings, such as a light tingling on the face. Both smells and sensations are strongest on a light in-breath, so we tested by sitting there, with a probe to the forehead, mildly sniffing. Sometimes there is a slight waft of a smell that comes on over a few breaths, and sometimes it just hits you. The first time Albert smelled the garbage, he jerked his eyes open thinking a garbage truck just drove in!" The team of four are Lev Chizhov, Albert Yan-Huang, Thomas Ribeiro, Aayush Gupta. Chizhov is a neurotech entrepreneur with a background in math and physics, Yan-Huang is a researcher at Caltech with a background in computation and neural systems, and Ribeiro and Gupta are co-researchers on the project with software engineering and AI expertise.

Brian Roemmele

61,098 просмотров • 4 месяцев назад