There have always been two sides to the Meta CEO. But since the beginning of Trump's second term, the nice side has taken a back seat. Ruthlessness is now the name of the game. January 31, 2024, is an uncomfortable day in Washington. An icy wind is whistling around the corners of the Dirksen Senate Office Building, right next to the Capitol. Inside, the atmosphere is not much more welcoming. Indeed, it feels downright hostile. In the large hall, women and men are holding up signs - silent, in mourning and protest. On them are pictures of girls and boys, 12, 13, 14, 15 years old. Harassed, sexually abused, mistreated on social networks on the internet. Many of the children have died from the consequences. And the man primarily to blame is said to be the one sitting in a blue suit in the front row: Mark Zuckerberg, 39 years old at the time. His usually radiant boyish face is expressionless.

Recognition of individual contributions is fundamental to the scientific reward system, yet coauthored papers obscure who did what. Traditional proxies-author order and career stage-reinforce biases, while contribution statements remain self-reported and limited to select journals. We construct the first large-scale dataset on writing contributions by analyzing author-specific macros in LaTeX files from 1.6 million papers (1991-2023) by 2 million scientists. Validation against self-reported statements (precision = 0.87), author order patterns, field-specific norms, and Overleaf records (Spearman's rho = 0.6, p < 0.05) confirms the reliability of the created data. Using explicit section information, we reveal a hidden division of labor within scientific teams: some authors primarily contribute to conceptual sections (e.g., Introduction and Discussion), while others focus on technical sections (e.g., Methods and Experiments). These findings provide the first large-scale evidence of implicit labor division in scientific teams, challenging conventional authorship practices and informing institutional policies on credit allocation.

In response to what it says is customer demand for "relentless" automation, Oracle plans to release in November a series of updates to its Fusion Cloud ERP and EPM suite that add features designed to streamline the process of logging and tracking transactions, while offering enhanced, AI-based analytics meant to optimize business processes. "Organizations at large are really looking to us to help them to improve the speed, the accuracy of the business processes, and really weeding out those mundane, really non-value add tasks as much as possible," said Juergen Lindner, Oracle's senior vice president of SaaS marketing. See "The best ERP systems:10 enterprise resource planning systems compared," with evaluations and user reviews. Learn why companies are increasingly moving to cloud ERP and how to spot the 10 early warning signs of ERP disaster. Get weekly insights by signing up for our CIO Leader newsletter.

NEW DELHI: Germany and India are likely to sign agreements including a partnership on the use of artificial intelligence in farming during a three-day visit to New Delhi by Chancellor Angela Merkel that begins on Thursday, the German ambassador said. Merkel will be accompanied by several cabinet colleagues and a business delegation, ambassador Walter J. Lindner told reporters. Merkel and Indian Prime Minister Narendra Modi are expected to discuss trade, investment, regional security and climate change. Both countries could sign agreements in areas such as artificial intelligence and green urban mobility, Lindner said. "This time, the focus will be on economic and trade relations, innovation and digitalisation, and climate protection and sustainable development," Merkel said in a message ahead of the visit released by the Indian embassy in Berlin.