As rates of mental health conditions like depression spike, we desperately need new ways of identifying and treating people in distress. The last big breakthrough in treating depression was all the way back in the 1980s. That was when Prozac, the first SSRI antidepressant, was released. It and its subsequent copycats soon swept the globe, and hundreds of millions of people have now taken this kind of medication. But while three-quarters of people say the pills have helped them feel better, they don't work for everyone.

Brewing byproduct may be a key sustainable secret ingredient. Breakthroughs, discoveries, and DIY tips sent every weekday. Brewing beer relies on a very simple living thing-brewer's yeast. The microorganisms thrive on mashed grains, converting sugars into both alcohol and carbon dioxide along the way. But there's not much use for yeast after the pints are poured .

Leaked recording reveals Campbell's exec's sickening remarks about iconic soup's ingredients How Lauren Sanchez would REALLY look if she'd never had rumored plastic surgery Trump's losing control... MAGA's imploding... and White House insiders tell me why they're REALLY worried: ANDREW NEIL Billionaire family posts VERY unusual obituary after heir, 40, met violent end at $2.8m hunting lodge following marriage scandal These women have lost as much as nine stone WITHOUT jabs: Now they reveal secret to their stunning success, the extraordinary event that brought them together and how it's changed their lives... Judge throws out Comey and James cases as Trump's beauty queen prosecutor is humiliated Her moving videos about the handsome boyfriend who ghosted her went viral and catapulted her to overnight fame. Kate Gosselin's ex Jon is seen at his splashy wedding for the first time as son Collin weighs in on his siblings not attending Fugitive'Slender Man' stabber Morgan Geyser snapped'just Google me' when asked for ID by cops who found her with MUCH older lover It all seems to be falling apart now! Pete Hegseth drops hammer on Democrat senator in'sedition' storm as court martial looms after Trump's execution threat Sabrina Carpenter looks unrecognisable in throwback snap from seven years ago as fans call her rebranding'wild' Neuralink's'Patient 4' feared missing months after getting revolutionary brain chip... now his wife tells the REAL heartbreaking story NFL's first transgender cheerleader makes explosive allegation against Carolina Panthers Slash your cholesterol by a third in just a month... hundreds of thousands are on a new diet that's transforming lives. Leaked recording reveals Campbell's exec's sickening remarks about iconic soup's ingredients Campbell Soup is facing a firestorm after a former employee allegedly secretly recorded a vice president insulting both the company's products and its customers. Robert Garza of Michigan filed a lawsuit against Campbell's on Thursday and released audio he says features Vice President and Chief Information Security Officer Martin Bally.

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.

A legal battle is brewing, as two companies are suing to overturn the two-year ban. Last week, a legal battle over lab-grown meat kicked off in Texas. On September 1, a two-year ban on the technology went into effect across the state; the following day, two companies filed a lawsuit against state officials. The two companies, Wildtype Foods and Upside Foods, are part of a growing industry that aims to bring new types of food to people's plates. These products, often called cultivated meat by the industry, take live animal cells and grow them in the lab to make food products without the need to slaughter animals. Here's what we know about lab-grown meat and climate change Cultivated meat is coming to the US.

Labor shortages have severely affected the meat processing sector. Automated technology has the potential to support the meat industry, assist workers, and enhance job quality. However, existing automation in meat processing is highly specialized, inflexible, and cost intensive. Instead of forcing manufacturers to buy a separate device for each step of the process, our objective is to develop general-purpose robotic systems that work alongside humans to perform multiple meat processing tasks. Through a recently conducted survey of industry experts, we identified two main challenges associated with integrating these collaborative robots alongside human workers. First, there must be measures to ensure the safety of human coworkers; second, the coworkers need to understand what the robot is doing. This paper addresses both challenges by introducing a safety and transparency framework for general-purpose meat processing robots. For safety, we implement a hand-detection system that continuously monitors nearby humans. This system can halt the robot in situations where the human comes into close proximity of the operating robot. We also develop an instrumented knife equipped with a force sensor that can differentiate contact between objects such as meat, bone, or fixtures. For transparency, we introduce a method that detects the robot's uncertainty about its performance and uses an LED interface to communicate that uncertainty to the human. Additionally, we design a graphical interface that displays the robot's plans and allows the human to provide feedback on the planned cut. Overall, our framework can ensure safe operation while keeping human workers in-the-loop about the robot's actions which we validate through a user study.

The increasing use of LLMs as substitutes for humans in ``aligning'' LLMs has raised questions about their ability to replicate human judgments and preferences, especially in ambivalent scenarios where humans disagree. This study examines the biases and limitations of LLMs in three roles: answer generator, judge, and debater. These roles loosely correspond to previously described alignment frameworks: preference alignment (judge) and scalable oversight (debater), with the answer generator reflecting the typical setting with user interactions. We develop a ``no-consensus'' benchmark by curating examples that encompass a variety of a priori ambivalent scenarios, each presenting two possible stances. Our results show that while LLMs can provide nuanced assessments when generating open-ended answers, they tend to take a stance on no-consensus topics when employed as judges or debaters. These findings underscore the necessity for more sophisticated methods for aligning LLMs without human oversight, highlighting that LLMs cannot fully capture human disagreement even on topics where humans themselves are divided.

If scientists had a time machine, having a conversation with a Brit from even just 250 years ago could be very confusing. Although they'd be speaking the same language as us, the meaning of many English words have dramatically changed. In fact, the mention of things like'fudge', 'meat', 'pink', 'stripe', 'flirt' and'artificial' in a certain context could send our 18th century ancestors into a muddle. Lynne Cahill, a linguistics professor at the University of Sussex, said some words change their meanings and others don't because'there are lots of things going on'. 'As our lives change, we need words for different things, so some meanings go out of use (think of different types of horse-drawn carriage) and new ones come in (think of technology, like mobile phones and computers),' she told MailOnline. 'Languages deal with these things in different ways, sometimes using existing words with related meanings to refer to new things.' MailOnline has scoured the historical records and dictionaries to find more than 40 words that once had a very different definition.

Multiview diffusion models have shown considerable success in image-to-3D generation for general objects. However, when applied to human data, existing methods have yet to deliver promising results, largely due to the challenges of scaling multiview attention to higher resolutions. In this paper, we explore human multiview diffusion models at the megapixel level and introduce a solution called mesh attention to enable training at 1024x1024 resolution. Using a clothed human mesh as a central coarse geometric representation, the proposed mesh attention leverages rasterization and projection to establish direct cross-view coordinate correspondences. This approach significantly reduces the complexity of multiview attention while maintaining cross-view consistency. Building on this foundation, we devise a mesh attention block and combine it with keypoint conditioning to create our human-specific multiview diffusion model, MEAT. In addition, we present valuable insights into applying multiview human motion videos for diffusion training, addressing the longstanding issue of data scarcity. Extensive experiments show that MEAT effectively generates dense, consistent multiview human images at the megapixel level, outperforming existing multiview diffusion methods.

Whether it's Tinder or Hinge, anyone with an online dating account will know that choosing the perfect pictures and words for your profile is a tricky business. From candid photos to funny jokes, it can be difficult to know what will help you bag the likes in a sea of profiles. But help is at hand, as scientists have revealed the one word you definitely should not include on your profile. According to researchers from the University of Warsaw, the word'vegetarian' will immediately put off potential dates. In a new study, the team found that being a vegetarian makes both women and men less attractive as potential partners.