radioactive material
Panic as Chernobyl's 2 billion protective shield cracks open sparking fears of a deadly radiation leak
Nick Reiner's siblings Romy and Jake describe'unimaginable pain' as they break silence after brother's arrest and parents' murder The full story of Nick Reiner and these murders is so much more unbearable than everyone thinks. Even Hollywood wouldn't dare write it: MAUREEN CALLAHAN I saw Nick Reiner just hours before the murders. I've known the family for decades - he was always a weirdo... but what I spotted that night haunts me Tara Reid investigation into alleged drugging is CLOSED as police say there is'not enough evidence' Dilbert creator reveals he's paralyzed from waist down amid aggressive cancer battle he begged Trump to help with Dan Bongino set to QUIT Trump admin after FBI job'put strain on his marriage' When GUY ADAMS revealed his 10-week body transformation, it was so astonishing he was accused of faking it. MIT professor was shot dead in apartment building's HALLWAY as petrified neighbors describe finding his bloody body I knew Rob Reiner's monster son Nick his whole life: Family friend reveals his'grunting' and violent outbursts... how he always SMELLED... and sign everyone missed at age 11 Harry and Meghan are making Netflix adaptation of The Wedding Date after couple announced'first look' multi-year deal with streaming giant Baby-faced stepbrother considered a'suspect' in Anna Kepner's cruise ship murder breaks cover as FBI weighs charges Erika Kirk vs Candace Owens exposed: Insider reveals high-stakes secret meeting drama... and what comes next US car dealer charged with FRAUD after bankruptcy revealed depths of American's debt crisis Revealed: Exactly what a week of drinking is doing to you. HARRY WALLOP took heart, liver, brain and blood tests to find out the truth.
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Chernobyl radiation shield 'lost safety function' after drone strike, UN watchdog says
Chernobyl radiation shield'lost safety function' after drone strike, UN watchdog says A protective shield covering the Chernobyl nuclear reactor in Ukraine can no longer provide its main containment function following a drone strike earlier this year, according to a UN watchdog. International Atomic Energy Agency (IAEA) inspectors found that the massive structure, built over the site of the 1986 nuclear disaster, had lost its primary safety functions including the confinement capability. In February, Ukraine accused Russia of targeting the power plant - a claim the Kremlin denied. The IAEA said repairs were essential to prevent further degradation of the nuclear shelter. However environmental expert Jim Smith told the BBC: It is not something to panic about.
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Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation Safety
Melton, Chad, Sorokine, Alex, Peterson, Steve
Evaluating Retrieval A ugmented G enerative Models for Document Queries in Transportation Safety C.A. Melton, A. Sorokine, S. Peterson Oak Ridge National Laboratory, Oak Ridge, TN, United States National Security Sciences Directorate ABSTRACT Applications of generative Large Language Models (LLMs) are rapidly expanding across various domains, promising significant improvements in workflow efficiency and information retrieval. However, their implementation in specialized, high - stakes domains suc h as hazardous materials transportation is challenging due to accuracy and reliability concerns. This study evaluates the performance of three fine - tuned generative models -- ChatGPT, Google's Vertex AI, and ORNL Retrieval - Augmented Generation augmented LLaMA 2 and LLaMA in retrieving regulatory information essential for hazardous material transportation compliance in the United States. Utilizing approximately 40 publicly available federal and state regulatory documents, we developed 100 realistic queries relevant to route planning and permitting requirements. Responses were qualitatively rated based on accuracy, detail, and relevance, complemented by quantitative assessments of semantic similarity between model outputs. Results demon strated that the RAG - augmented LLaMA models significantly outperformed Vertex AI and ChatGPT, providing more detailed and generally accurate information, despite occasional inconsistencies. This research introduces the first known application of RAG in tra nsportation safety, emphasizing the need for domain - specific fine - tuning and rigorous evaluation methodologies to ensure reliability and minimize the risk of inaccuracies in high - stakes environments.
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Rapid Parameter Inference with Uncertainty Quantification for a Radiological Plume Source Identification Problem
Edwards, Christopher, Smith, Ralph C
In the event of a nuclear accident, or the detonation of a radiological dispersal device, quickly locating the source of the accident or blast is important for emergency response and environmental decontamination. At a specified time after a simulated instantaneous release of an aerosolized radioactive contaminant, measurements are recorded downwind from an array of radiation sensors. Neural networks are employed to infer the source release parameters in an accurate and rapid manner using sensor and mean wind speed data. We consider two neural network constructions that quantify the uncertainty of the predicted values; a categorical classification neural network and a Bayesian neural network. With the categorical classification neural network, we partition the spatial domain and treat each partition as a separate class for which we estimate the probability that it contains the true source location. In a Bayesian neural network, the weights and biases have a distribution rather than a single optimal value. With each evaluation, these distributions are sampled, yielding a different prediction with each evaluation. The trained Bayesian neural network is thus evaluated to construct posterior densities for the release parameters. Results are compared to Markov chain Monte Carlo (MCMC) results found using the Delayed Rejection Adaptive Metropolis Algorithm. The Bayesian neural network approach is generally much cheaper computationally than the MCMC approach as it relies on the computational cost of the neural network evaluation to generate posterior densities as opposed to the MCMC approach which depends on the computational expense of the transport and radiation detection models.
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- Health & Medicine > Nuclear Medicine (0.61)
- Health & Medicine > Diagnostic Medicine > Imaging (0.61)
- Energy > Power Industry > Utilities > Nuclear (0.34)
Chernobyl reactor shield hit by Russian drone, Ukraine says
The IAEA, which monitors nuclear safety the world, said radiation levels inside and outside Chernobyl remain normal and stable. The agency remains on "high alert" after the incident, with its director general Rafael Mariano Grossi saying there is "no room for complacency". Chernobyl is the site of the world's worst nuclear accident - a catastrophic explosion that sent a plume of radioactive material into the air in 1986, triggering a public health emergency across Europe. Zelensky posted footage on X appearing to show damage to the giant shield, made of concrete and steel, which covers the remains of the reactor that lost its roof in the explosion. The shield is designed to prevent further radioactive material leaking out over the next century.
Mystery as radioactive shipment goes missing in New Jersey amid drone invasion
Radioactive material went missing in New Jersey earlier this month, fueling conspiracy theories that it could be linked to the mysterious drone sightings. A piece of medical equipment used for cancer scans was shipped from the Nazha Cancer Center in Newfield on December 2 for disposal, but the'shipping container arrived at its destination damaged and empty.' The device, known as a'pin source,' contained a small amount of Germanium-68 (Ge-68) that is used to calibrate a medical scanner's accuracy. If handled without proper gear, it can cause radiation poisoning. The US Nuclear Regulatory Commission (NRC) issued an alert for the missing shipment deemed'less than a Category 3,' meaning it could cause permanent injury if mishandled.
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- Information Technology > Artificial Intelligence > Robots > Autonomous Vehicles > Drones (0.32)
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US national lab uses AI to help find illegal nuclear weapons • The Register
Researchers at America's Pacific Northwest National Laboratory (PNNL) are developing machine learning techniques to help the Feds crack down on potentially rogue nuclear weapons. Suffice to say, it's generally illegal for any individual or group to own a nuclear weapon, certainly in the United States. Yes, there are the five officially recognized nuclear-armed nations – France, Russia, China, the UK, and the US – whose governments have a stash of these devices. And there are countries that have signed the United Nations' Treaty on the Prohibition of Nuclear Weapons, meaning they've promised not to "develop, test, produce, acquire, possess, stockpile, use or threaten to use" these gadgets. So if anyone has a nuke in their possession, it's because they are a country in the official nuclear-armed club, they are a government that's produced its own nukes, a terrorist who stole, bought, or somehow built one themselves, or some other sketchy scenario, in America's eyes at least.
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Wild boars and snakes haven't suffered from radiation at Fukushima nuclear accident, study shows
The catastrophic Fukushima nuclear disaster in 2011 caused an estimated 250,000 people to evacuate their homes, but scientists have determined certain wildlife species in the area are thriving, suggesting people could eventually return to the region, according to a new study. Researchers at Colorado State University, the University of Georgia and Fukushima University's Institute of Environmental Radioactivity have found that multiple generations of wild boar and rat snakes have not suffered from any significant adverse health effects. Multiple generations of animals have been exposed to radiation levels above the threshold for human occupancy, but have suffered no ill effects. That may be due to the fact that cesium-134, one of the major radioactive materials released during the accident, saw its levels decrease by almost 90 percent. The researchers looked at biomarkers of DNA damage and stress to determine that the boar and snakes were thriving in the area. The researchers looked at the wild boars and snakes between 2016 and 2018, or five to seven years after the earthquake and resulting tsunami destroyed the Fukushima Dai-ichi Nuclear Power Plant, releasing massive amounts of radioactive material in the environment.
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Mission possible? The long road ahead for Fukushima cleanup.
Nearly a decade after the three meltdowns at Fukushima No. 1 nuclear power plant, plans are underway to finally remove nuclear fuel debris from the three reactors. But in order to remove it, Tokyo Electric Power Company Holdings Inc. (Tepco), the operator of the plant, needs to ensure there is a place to store the debris once it is retrieved. This is thought to be the reason why the government is rushing to give the green light to releasing tritium-laced water piling up at the plant into the Pacific -- to give room for the storage of fuel debris. But removing the fuel debris -- a crucial step in the decommissioning process -- is an enormous task on its own, with measures that need to be resolved emerging one after another. At a three-day online meeting of the Atomic Energy Society of Japan from Sept. 16, an official from the International Research Institute for Nuclear Decommissioning (IRID) who is in charge of technical development regarding the decommissioning of the Fukushima plant, explained the plan, or the lack thereof, to remove the debris at reactor No. 2. "We will consider what kind of measures to take, comparing tactics and developing techniques," the official said, with a hint of frustration at not being able to come up with a specific way yet.
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Can Artificial Intelligence Save The Nuclear Industry?
Attitudes about nuclear energy are changing, with pundits on both sides of the aisle touting its benefits for extremely efficient and relatively clean energy. Despite an ever more positive public opinion, the nuclear industry in the United States, the largest in the world, is currently experiencing a downturn, even going so far as to need government subsidies to keep afloat. In fact, at present the fastest growing sector of the nuclear industry is profiting not off of growth, but off of the nuclear sector's slow death in the United States. According to reporting by Bloomberg, "the fastest growing part of the nuclear industry in the U.S. involves a small but expanding group of companies that specialize in tearing reactors down faster and cheaper than ever before." Tearing down old nuclear reactors is no easy feat, however.
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- Asia > Japan > Honshū > Tōhoku > Fukushima Prefecture > Fukushima (0.05)