The increasing amount of pressure related to water and energy shortages has increased the urgency of cultivating individual conservation behaviors. While the concept of nudging, i.e., providing usage-based feedback, has shown promise in encouraging conservation behaviors, its efficacy is often constrained by the lack of targeted and actionable content. This study investigates the impact of the use of large language models (LLMs) to provide tailored conservation suggestions for conservation intentions and their rationale. Through a randomized controlled trial with 1,515 university participants, we compare three virtual nudging scenarios: no nudging, traditional nudging with usage statistics, and LLM-powered nudging with usage statistics and personalized conservation suggestions. The results of statistical analyses and causal forest modeling reveal that nudging led to an increase in conservation intentions among 86.9%-98.0% of the participants. LLM-powered nudging achieved a maximum increase of 18.0% in conservation intentions, surpassing traditional nudging by 88.6%. Furthermore, structural equation modeling results reveal that exposure to LLM-powered nudges enhances self-efficacy and outcome expectations while diminishing dependence on social norms, thereby increasing intrinsic motivation to conserve.

It was once one of Cold War Britain's best-kept secrets. But now, you can take a look inside the'top secret' bunker where the government prepared for nuclear war. For the very first time, incredible 3D scans reveal the interior of the Nottingham War Rooms. Built between 1952 and 1953, the rooms protected one of the 11 Regional Seats of Government which would have controlled the surviving population in the event of an atomic blast. Inside, you can still see the original dormitories, kitchens, and offices built to house up to 400 government officials.

Check out what's clicking on Foxnews.com. Russia stepped up its missile and drone attacks against Ukraine on Wednesday, killing students and other civilians, in a violent follow-up to dueling high-level diplomatic missions aimed at bringing peace after 13 months of war. "Russia is shelling the city with bestial savagery," President Volodymyr Zelenskyy wrote in a Telegram post accompanying video showing what he said was a Russian missile striking a nine-story apartment building on a busy road in the southeastern city of Zaporizhzhia. "Residential areas where ordinary people and children live are being fired at." At least one person was killed in the attack shown in the Zaporizhzhia video, apparently recorded by closed circuit TV cameras.

Afew days before my return to classroom teaching at Sichuan University, I was biking across a deserted stretch of campus when I encountered a robot. The blocky machine stood about chest-high, on four wheels, not quite as long as a golf cart. In front was a T-shaped device that appeared to be some kind of sensor. The robot rolled past me, its electric motor humming. I turned around and tailed the thing at a distance of fifteen feet.

Don Ingabire (L), 16 and Audrey Mwamikazi, 17, members of a teenage robotics team from the African nation of Burundi, who were reported missing after taking part in an international competition and later spotted crossing into Canada, are seen in pictures released by the Metropolitan Police Department in Washington, D.C. Photo by Metropolitan Police Department via Reuters Two of the six members of the Burundi robotics team, who participated in an international competition this week in Washington, D.C., were seen crossing into Canada and have been reported safe, police confirmed Thursday. D.C. police said they believe the two teens, identified as Audrey Mwamikazi, 17, and Don Ingabire, 16, left for Canada on their own accord, adding that there was no evidence of foul play. Authorities have not released any further details, the Washington Post reported. The other four members, including two 17-year-old girls and two boys aged 17 and 18, are also believed to be safe, authorities said. Police declined to provide further information, the Post reported.

We study the design of data analytic policies in a campus dormitory where smart meters are installed to gather usage data. Given the availability of such data, we consider policies to give feedback on comparative usage levels on a daily basis, and give price incentives accordingly. This requires us to divide users into groups according to their behaviors, and set prices that are reasonable. Instead of doing grouping and price setting based on intuition and guesses, which may be ineffective and unfair, we propose a data analytic approach. This requires us to start the design with a clear set of principles; based on these, and the collected data, the user grouping and corresponding pricing are automatically determined, satisfying the agreed-to principles. We show how this design approach works in a real setting, with real world usage data. We also discuss the difficulties in introducing such policies as they are more complicated and involve some uncertainties, and a possible solution by using opt-in (or opt-out) at the first introduction of such new policies. We expect the data analytic policy approach and our experience to be applicable and useful in general settings.

Listen to Science Friday live on Fridays from 2-4 p.m. ET The most famous patient in neuroscience is the subject of a new book by the grandson of the man who changed his brain forever. Plus, a tour of the particles that could lie outside the Standard Model, and a look at automation in the workforce. City officials plan to repurpose Olympic structures as schools, dormitories, and community parks. What could sterile neutrinos, gravitons, and axions tell us about the Standard Model? A group proposes 20 science-based policy questions for the presidential candidates to address in the months ahead.

SEOUL – For the past two years, 12-year-old Cho Sung-bin has spent nearly all his waking hours focused on a wooden board covered with black and white stones, honing the skills he hopes to translate into a lucrative career as a professional go player. I never get tired," said Cho, one of dozens of preteens sitting at rows of desks topped with playing boards at the Lee Sedol School of go in central Seoul. Many spend 12 hours a day practicing match play with each other in the small, largely windowless rooms of the school, which is named after the grandmaster they all hope to emulate. Already well known in East Asia, Lee achieved global recognition in March when he took on Google's artificial intelligence AlphaGo program in a five-match showdown. The 33-year-old lost the series, but the battle gave an unprecedented boost to the ancient board game's international profile. Go originated in China 3,000 years ago and has been played for centuries mostly in China, Japan and South Korea, with more than 40 million fans worldwide. Two players take turns placing black or white stones on a square board with a 19-by-19 grid. But the strategies needed to secure victory are complex, with reportedly more possible move configurations than atoms in the universe. "Go is not just an entertainment.