Does eating spicy food help you lose weight? Science has a clear answer. Nutritionists weigh in on the heated debate. Beyond adding flavor and heat, spicy foods may also help boost your metabolism and curb your appetite. Breakthroughs, discoveries, and DIY tips sent every weekday.

Traditional depression screening methods, such as the PHQ-9, are particularly challenging for children in pediatric primary care due to practical limitations. AI has the potential to help, but the scarcity of annotated datasets in mental health, combined with the computational costs of training, highlights the need for efficient, zero-shot approaches. In this work, we investigate the feasibility of state-of-the-art LLMs for depressive symptom extraction in pediatric settings (ages 6-24). This approach aims to complement traditional screening and minimize diagnostic errors. Our findings show that all LLMs are 60% more efficient than word match, with Flan leading in precision (average F1: 0.65, precision: 0.78), excelling in the extraction of more rare symptoms like "sleep problems" (F1: 0.92) and "self-loathing" (F1: 0.8). Phi strikes a balance between precision (0.44) and recall (0.60), performing well in categories like "Feeling depressed" (0.69) and "Weight change" (0.78). Llama 3, with the highest recall (0.90), overgeneralizes symptoms, making it less suitable for this type of analysis. Challenges include the complexity of clinical notes and overgeneralization from PHQ-9 scores. The main challenges faced by LLMs include navigating the complex structure of clinical notes with content from different times in the patient trajectory, as well as misinterpreting elevated PHQ-9 scores. We finally demonstrate the utility of symptom annotations provided by Flan as features in an ML algorithm, which differentiates depression cases from controls with high precision of 0.78, showing a major performance boost compared to a baseline that does not use these features.

To hear more audio stories from publications like The New York Times, download Audm for iPhone or Android. Early on, the software had the regrettable habit of hitting police cruisers. No one knew why, though Tesla's engineers had some good guesses: Stationary objects and flashing lights seemed to trick the A.I. The car would be driving along normally, the computer well in control, and suddenly it would veer to the right or left and -- smash -- at least 10 times in just over three years. For a company that depended on an unbounded sense of optimism among investors to maintain its high stock price -- Tesla was at one point worth more than Toyota, Honda, Volkswagen, Mercedes, BMW, Ford and General Motors combined -- these crashes might seem like a problem.

The link between chronic pain and a loss of appetite may finally be understood – in mice at least. Zhi Zhang at the University of Science and Technology of China in Hefei and his colleagues injected mice with bacteria that provoke chronic pain. Ten days later, these mice were eating less frequently and for shorter periods of time compared with control mice that had been injected with saline. When the first group of mice were later given pain medication, they ate normally, the researchers wrote in a paper published in Nature Metabolism. To better understand the neuronal activity responsible for this change in behaviour, the researchers analysed the brains of the first group of mice while the animals were in chronic pain.

Waging brutal repression at home and allegedly helping Russia in its war against Ukraine, Iran is becoming an unsolvable challenge for Western powers eager to avoid a new nuclear power in the Middle East. "We're in a delicate situation and an obvious impasse," a French diplomat admitted before Wednesday's UN Security Council meeting on suspected Iranian drone use by Russian forces. Despite Tehran's new support for an increasingly isolated Moscow, the United States and the European Union still hope to revive the 2015 deal aimed at curtailing Iran's nuclear programme -- even though the prospect is dimming. "Iran's repression at home and aggression in Ukraine have increased the political cost for and decreased the appetite of the West to grant Tehran sanctions relief," said analyst Ali Vaez of the International Crisis Group. "But the West has no good options, as the only thing worse than a repressive regime that kills its own people is a nuclear armed one that does so."

Enabling technologies adapted to aquaculture for sector-specific challenges has the potential to generate high-impact innovations. A digitalized farming reality, where effective data is fed into the top production cycle on a systematic basis, offers the opportunity to play a leading role in promoting efficiency and productivity. More specifically, the digital transformation of the aquaculture sector, implementing tools such as cloud services using big data, machine learning, and artificial intelligence, has the potential to increase the efficiency of the sector. The forum focused on how improvements in precision agriculture, farming practices, and profitability can be achieved using data technologies, and how enhanced forecasting and modeling capabilities can improve management decisions. Dr. Nengs opened his presentation with an interesting fact: "Aquaculture is currently the fastest-growing food industry in the world and now accounts for 50% of the total global seafood supply."

According to a survey of UK leaders conducted by bluQube, the adoption of digital transformation technologies is accelerating. "So-called'future' technologies, such as robotics or the Internet of Things, have now firmly entered the mainstream for businesses looking to grow and stand out from the chasing pack," commented Simon Kearsley, CEO of bluQube. Almost three-quarters (72%) of business leaders report their organisations have adopted mobile technology. An equal percentage say they're using the cloud for their operations. As established technologies, it's not particularly surprising.

Somebody wise once said, "The stone age didn't end because they ran out of stones." I believe it was the hunger to grow, survive, and elevate; in the constant journey to move ahead, there was a new age! In an ever-evolving world, the only constant is to learn and keep yourself upgraded. The world was quick to realize this with the global pandemic of 2020. Industries had to gear up overnight to stay ahead of uncertainties and keep the businesses running seamlessly.

At first glance, the forays Apple Inc., Google and other technology giants are making into the world of cars don't appear to be particularly lucrative. Building automobiles requires factories, equipment and an army of people to design and assemble large hunks of steel, plastic and glass. The world's top 10 carmakers had an operating margin of just 5.2% in 2020, a fraction of the 34% enjoyed by the tech industry's leaders, data compiled by Bloomberg show. But for Apple and other behemoths that are diving into self-driving tech or have grand plans for their own cars, that push isn't just about breaking into a new market -- it's about defending valuable turf. "Why are tech companies pushing into autonomous driving? Because they can, and because they have to," said Chris Gerdes, co-director of the Center for Automotive Research at Stanford University.

At first glance, the forays Apple Inc., Google and other technology giants are making into the world of cars don't appear to be particularly lucrative. Building automobiles requires factories, equipment and an army of people to design and assemble large hunks of steel, plastic and glass. The world's top 10 carmakers had an operating margin of just 5.2% in 2020, a fraction of the 34% enjoyed by the tech industry's leaders, data compiled by Bloomberg show. But for Apple and other behemoths that are diving into self-driving tech or have grand plans for their own cars, that push isn't just about breaking into a new market -- it's about defending valuable turf. "Why are tech companies pushing into autonomous driving? Because they can, and because they have to," said Chris Gerdes, co-director of the Center for Automotive Research at Stanford University.