War of 1812 veteran Shadrack Byfield's second book describes a grittier life story--and a hook for a hand. Breakthroughs, discoveries, and DIY tips sent six days a week. A long-lost second memoir penned by a famed 19th-century British soldier named Shadlock Byfield resurfaced in a rather unexpected place--Cleveland, Ohio. As explained in a study recently published in the, Byfield's second book depicts a very different war veteran than the one described in his first autobiography written 11 years earlier. Although he may not be a household name, many early American history buffs are well acquainted with Shadrack Byfield .

Inside the somber birthday of Rob Reiner's heartbroken daughter Romy: Pictured for first time since parents' murders... she seeks solace at the beach with boyfriend and family by her side Donald Trump meets with Zelensky at Mar-a-Lago as president snaps at reporter: 'What a stupid question' SARAH VINE: The miasma of gloom has finally lifted over the royals. How sad Harry and Meghan can't see past their own psychodramas to allow their children to join this happy band Fast moving winter storm and possible'bomb cyclone' set to sweep across the country as 40 million Americans are placed on alert Redemption for Jake Paul's fiancee as Jutta Leerdam bounces back after heartbreaking fall at Olympic trials FBI gives update on daycare accused of $4MILLION taxpayer fraud as Kash Patel says it's the'tip of the iceberg' and vows to'follow the money and protect children' A Boy Scout vanished in the mountains then stumbled into a police station 12 years later. The tale gripped social media... but then the truth came out Shopping mall was once the jewel in Democrat-run city's crown in its 90s heyday but now it's a ghost town and up for sale Brigitte Bardot's final social media posts show her doing what she loved and looking remarkably healthy without the care she relied upon in her final years - just days before her death Nashville's brutal secret RANKING of influencers - revealed: From the'cougar' to the country music WAG with an ugly nickname... and the star whose marriage is facing WILD accusations Bryson DeChambeau gives stark update on his LIV Golf future after Brooks Koepka's shock exit I've been a mechanic for 50 years... here are the cars you should desperately avoid: 'Blowing up' I'm a psychiatrist who almost never prescribes antidepressants. My drug-free treatment has a 70% success rate... Injured veterans say Meta's AI-powered glasses are a'gamechanger' for people with disabilities - as it allows them to send texts and get directions by just using their voice The Ray-Ban Meta AI Glasses and newer Oakley Vanguard glasses might look like a standard pair of chunky specs. But in reality, these cutting-edge wearables are a hands-free device that lets users seamlessly interact with AI controls.

Fraudsters are targeting veterans with fake VA overpayment scams through texts, emails and calls demanding urgent payments via gift cards or wire transfers.

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Generative artificial intelligence (Generative AI) is transforming healthcare. With this evolution comes optimism regarding the impact it will have on mental health, as well as concern regarding the risks that come with generative AI operating in the mental health domain. Much of the investment in, and academic and public discourse about, AI-powered solutions for mental health has focused on therapist chatbots. Despite the common assumption that chatbots will be the most impactful application of GenAI to mental health, we make the case here for a lower-risk, high impact use case: leveraging generative AI to enhance and scale training in mental health service provision. We highlight key benefits of using generative AI to help train people to provide mental health services and present a real-world case study in which generative AI improved the training of veterans to support one another's mental health. With numerous potential applications of generative AI in mental health, we illustrate why we should invest in using generative AI to support training people in mental health service provision.

Things to Do in L.A. Tap to enable a layout that focuses on the article. U.S. veteran says he faces retribution from Trump officials for protesting his wrongful arrest George Retes Jr. is seen in 2020 in Baghdad. The U.S. veteran wrote about what he says was his unlawful arrest during the Glass House ICE raid in July. He says the Department of Homeland Security is now spreading falsehoods against him for speaking out. This is read by an automated voice.

Suicide remains one of the main preventable causes of death among active service members and veterans. Early detection and prediction are crucial in suicide prevention. Machine learning techniques have yielded promising results in this area recently. This study aims to assess and summarize current research and provides a comprehensive review regarding the application of machine learning techniques in assessing and predicting suicidal ideation, attempts, and mortality among members of military and veteran populations. A keyword search using PubMed, IEEE, ACM, and Google Scholar was conducted, and the PRISMA protocol was adopted for relevant study selection. Thirty-two articles met the inclusion criteria. These studies consistently identified risk factors relevant to mental health issues such as depression, post-traumatic stress disorder (PTSD), suicidal ideation, prior attempts, physical health problems, and demographic characteristics. Machine learning models applied in this area have demonstrated reasonable predictive accuracy. However, additional research gaps still exist. First, many studies have overlooked metrics that distinguish between false positives and negatives, such as positive predictive value and negative predictive value, which are crucial in the context of suicide prevention policies. Second, more dedicated approaches to handling survival and longitudinal data should be explored. Lastly, most studies focused on machine learning methods, with limited discussion of their connection to clinical rationales. In summary, machine learning analyses have identified a wide range of risk factors associated with suicide in military populations. The diversity and complexity of these factors also demonstrates that effective prevention strategies must be comprehensive and flexible.

When we think of Nintendo we picture serene and cosy cartoon adventures filled with cute creatures and lovable Italian stereotypes. But while there is plenty of Mario on the Switch, the console offers a diverse range of delights for newcomers and longtime gaming veterans. Here are the 15 essentials. The cosy life sim returned with new characters, chill activities, and endless knick-knacks with which to decorate your own virtual paradise. Create a dream island and then invite friends over for tea.

Scrolling through X--ugh, I deleted the app, so now I use the browser to look at it on my phone--a post from Farhad Manjoo caught my eye. It's a screen cap of a picture of five elderly men dressed like veterans sitting on a plane. Below the photo it says, "The real heroes are not in Hollywood." If you look a little more closely, it screams janky A.I. Which commercial airliner has five seats in a row next to the window? God knows what army they belong to: There are eagles, and stripes, but no stars.

Social and behavioral determinants of health (SBDH) play a crucial role in health outcomes and are frequently documented in clinical text. Automatically extracting SBDH information from clinical text relies on publicly available good-quality datasets. However, existing SBDH datasets exhibit substantial limitations in their availability and coverage. In this study, we introduce Synth-SBDH, a novel synthetic dataset with detailed SBDH annotations, encompassing status, temporal information, and rationale across 15 SBDH categories. We showcase the utility of Synth-SBDH on three tasks using real-world clinical datasets from two distinct hospital settings, highlighting its versatility, generalizability, and distillation capabilities. Models trained on Synth-SBDH consistently outperform counterparts with no Synth-SBDH training, achieving up to 62.5% macro-F improvements. Additionally, Synth-SBDH proves effective for rare SBDH categories and under-resource constraints. Human evaluation demonstrates a Human-LLM alignment of 71.06% and uncovers areas for future refinements.