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‘Save her first’: China expectant mum relinquishes surgery room slot to bleeding pregnant woman
A pregnant woman in eastern China gave up her prepared operating room to save another expectant mother suffering massive bleeding. A video of the emergency “life-and-death relay” in Weifang, Shandong province, has gone viral on mainland social media. According to People’s Daily, the story unfolded at Weifang People’s Hospital, where an unnamed expectant mother was waiting in the operating room fully prepared for surgery.
China Crude Buying Seen Languishing for Months as Demand Tumbles
An oil tanker is docked unloading crude oil at the port in Qingdao, in China's eastern Shandong province, on April 7, 2026. (Photo by CN-STR / AFP via Getty Images) / China OUT
China boy with 97% burns dreams of becoming top badminton player, practises daily despite pain
China boy with 97% burns dreams of becoming top badminton player, practises daily despite pain ‘Little warrior’ inspired by Chinese sporting legend who often falls playing shots due to injuries suffered in fire is tipped for the top by coach A boy in eastern China who survived catastrophic burns is battling daily pain on the badminton court, determined to become a champion like his idol Lin Dan. Xuanxuan, 12, from Jinan in Shandong province, was asleep with his family when a fire tore...
AI hyperscaler effect vaults China’s Zhongji Innolight to top of CSI 300 benchmark
AI hyperscaler effect vaults China’s Zhongji Innolight to top of CSI 300 benchmark Maker of optical modules surpasses CATL in weighting thanks to off-the-charts demand from Alphabet, Amazon, Meta and Huawei The northern Shandong province-based company had a 5 per cent weighting on the CSI 300 Index on Friday, making it the largest of the 300 most valuable stocks on the Shanghai and Shenzhen exchanges. The index’s weighting is based on the market capitalisation of free-float shares. The...
What Beijing’s shrinking youth population reveals about its changing appeal
What Beijing’s shrinking youth population reveals about its changing appeal Beijing’s resident adult population aged 20 to 29 has nearly halved over the past decade. CNA explores how young Chinese are recalculating the costs and benefits of life in the capital, even as it remains a magnet for talent. BEIJING: Zhao Haozhe, 20, has never lived anywhere but Beijing.
Make use of Hong Kong’s advantages, John Lee urges Kazakhstan leaders, companies
Make use of Hong Kong’s advantages, John Lee urges Kazakhstan leaders, companies Lee meets President Kassym-Jomart Tokayev as delegation seals wide range of partnership deals on first day of Central Asia trip Lee began his five-day trip on Monday by discussing ways to deepen economic cooperation and strengthen bilateral ties with Kazakhstan, meeting President Kassym-Jomart Tokayev as well as Serik Zhumangarin, the deputy prime minister and national economy minister, separately. The chief...
The shadow fleet: How Iran keeps its oil flowing despite sanctions and war
Operation Epic Fury was never just about US strikes on Iran or Tehran's retaliation. The conflict unfolded in one of the world's most important energy corridors, where every military escalation carried implications far beyond the battlefield. As aircraft carriers surged into the region, missiles lit up the skies and tensions around the Strait of Hormuz rattled global markets, governments and traders braced for the worst.
Step-adaptive multimodal fusion network with multi-scale cloud feature learning for ultra-short-term solar irradiance forecasting
arXiv:2606.06102v1 Announce Type: new Abstract: Ultra-short-term solar irradiance prediction is critical for photovoltaic system dispatch and power grid stability. Existing approaches suffer from three key shortcomings: single time-series models cannot capture the spatial dynamics of clouds under complex conditions, standard convolutions inadequately represent multi-scale cloud features, and fixed low-frequency compensation strategies fail to adapt to different prediction steps. To address...
FAME: Forecastability-Aware Mixture of Experts for Heterogeneous Time Series Forecasting
arXiv:2606.08896v1 Announce Type: new Abstract: Large-scale retail and industrial forecasting systems contain many heterogeneous time series whose lifecycle, sparsity, volatility, seasonality, spectral patterns, and contextual sensitivity differ substantially. A single forecasting model rarely performs well across all regimes, while dense ensembles increase inference cost and provide limited insight into expert suitability. This paper studies forecastability-aware expert routing: learning...