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550 pigeons rescued in North Carolina

Popular Science

The birds can make good pets, but only if taken care of properly. Breakthroughs, discoveries, and DIY tips sent six days a week. Rescuers in North Carolina recently saved over 500 pigeons from a home in Greensboro. Guildford County Animal Services and two other bird rescues based in Charlotte initially believed that the call was for about 300 birds . Instead, they found about 550 pigeons inside of a shed behind the home, hidden from the street.


Scientists Thought Parkinson's Was in Our Genes. It Might Be in the Water

WIRED

Scientists Thought Parkinson's Was in Our Genes. New ideas about chronic illness could revolutionize treatment, if we take the research seriously. Amy Lindberg spent 26 years in the Navy and she still walked like it--with intention, like her chin had someplace to be. But around 2017, her right foot stopped following orders. Lindberg and her husband Brad were five years into their retirement. After moving 10 times for Uncle Sam, they'd bought their dream house near the North Carolina coast. They had a backyard that spilled out onto wetlands. From the kitchen, you could see cranes hunting. They kept bees and played pickleball and watched their children grow. But now Lindberg's right foot was out of rhythm. She worked hard to ignore it, but she couldn't disregard the tremors.


Supplement to " Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion "

Neural Information Processing Systems

Haixu Ma Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel Hill, NC 27516 haixuma@live.unc.edu A.1 Estimation of the main effect We briefly discuss how to obtain the estimation of the main effect function M For nonparametric regression, we follow [ 3 ] to divide the training data into M folds based on the assigned treatment. Then p E r Y |Z,A " a s is obtained from the regression forest [ 4 ] on Y Z with the dataset tp y We refer to [ 3 ] for more discussions about the case of misspecifying the main effect, and the corresponding robust and efficient method to solve the misspecification problem. A.2 Implementation details for the adaptive proximal gradient algorithm Recall that U " diag pX The main steps of the proposed algorithm for SCAF are summarized as below. In particular, the experiments were run on a Linux-based computing server.



Suspect in NC restaurant shooting identified, charged with murder after 3 killed, at least 8 wounded

FOX News

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Endangered shark meat keeps ending up on store shelves

Popular Science

A college seafood forensics class investigated some fishy labelling. Breakthroughs, discoveries, and DIY tips sent every weekday. Sharks have been swimming in Earth's seas over 450 million years, but some struggling shark species may be ending up on grocery store shelves, in fish markets, and even sold online. Meat from shark species at risk of extinction is still available for sale in the United States, despite lawmaker's best efforts. "We found critically endangered sharks, including great hammerhead and scalloped hammerhead, being sold in grocery stores, seafood markets, and online," said Dr. Savannah J. Ryburn, a marine ecologist at University of North Carolina at Chapel Hill and co-author of a small study recently published in "Of the 29 samples, 93 percent were ambiguously labeled as'shark,' and one of the two products labeled at the species level was mislabeled." In the new study, a seafood forensic class at UNC bought 30 different shark products-19 raw steaks and 11 packages of shark jerky.


Supplement to " Learning Individualized Treatment Rules with Many Treatments: A Supervised Clustering Approach Using Adaptive Fusion "

Neural Information Processing Systems

Haixu Ma Department of Statistics and Operations Research University of North Carolina at Chapel Hill Chapel Hill, NC 27516 haixuma@live.unc.edu A.1 Estimation of the main effect We briefly discuss how to obtain the estimation of the main effect function M For nonparametric regression, we follow [ 3 ] to divide the training data into M folds based on the assigned treatment. Then p E r Y |Z,A " a s is obtained from the regression forest [ 4 ] on Y Z with the dataset tp y We refer to [ 3 ] for more discussions about the case of misspecifying the main effect, and the corresponding robust and efficient method to solve the misspecification problem. A.2 Implementation details for the adaptive proximal gradient algorithm Recall that U " diag pX The main steps of the proposed algorithm for SCAF are summarized as below. In particular, the experiments were run on a Linux-based computing server.


Evaluating LLMs in Medicine: A Call for Rigor, Transparency

Alwakeel, Mahmoud, Nagori, Aditya, Krishnamoorthy, Vijay, Kamaleswaran, Rishikesan

arXiv.org Artificial Intelligence

Objectives: To evaluate the current limitations of large language models (LLMs) in medical question answering, focusing on the quality of datasets used for their evaluation. Materials and Methods: Widely-used benchmark datasets, including MedQA, MedMCQA, PubMedQA, and MMLU, were reviewed for their rigor, transparency, and relevance to clinical scenarios. Alternatives, such as challenge questions in medical journals, were also analyzed to identify their potential as unbiased evaluation tools. Results: Most existing datasets lack clinical realism, transparency, and robust validation processes. Publicly available challenge questions offer some benefits but are limited by their small size, narrow scope, and exposure to LLM training. These gaps highlight the need for secure, comprehensive, and representative datasets. Conclusion: A standardized framework is critical for evaluating LLMs in medicine. Collaborative efforts among institutions and policymakers are needed to ensure datasets and methodologies are rigorous, unbiased, and reflective of clinical complexities.