Bruegel

Germany’s energy transition relies on variable renewables and electricity use across sectors, and it needs to accelerate. We argue that consistent policy commitments to proven technologies, such as wind and solar power, heat pumps and electric cars are needed. Germany’s energy transition relies on variable renewables and electricity use across sectors, and it needs to accelerate. This Comment argues that consistent policy commitments to proven technologies, such as wind and solar power, heat pumps and electric cars are needed.

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The present work examines the in vitro drug delivery performance of degradable microspheres (DrugMic) composed of a crosslinked hydrogel of poly(ethylene glycol), with particular interest on the effect of e-beam sterilization on the stability of loaded active substances, i.e. niflumic acid (14% w/w), tadalafil (7% w/w), travoprost (0.2% w/w), buprenorphine (1.4% w/w), teicoplanin (6% w/w), and polymyxin B (5.6% w/w). Drug loading was performed on preformed microspheres degradable in 3 days, 1 or 2 weeks. Drugs were loaded onto microspheres (50–100 µm or 500–700 µm) via 1 h room-temperature incubation. After freeze-drying, drug-loaded microspheres were sterilized using e-beam irradiation (15 or 25 kGy). In vitro drug releases were done in PBS, drug elution profiles and radiostability were assessed by RP-HPLC with diode array detection. Following irradiation, DrugMic delivered niflumic acid and tadalafil for 3 days, teicoplanin and polymyxin B for 1 week, buprenorphine and travoprost for 2 weeks from microspheres degradable in 3 days, 1 and 2 weeks. Radiolysis was observed in each fraction collected during buprenorphine (0.7–20%) and travoprost (1.8–139%) release, while the HPLC profiles of polymyxin B were completely altered, indicating substantial degradation. Niflumic acid, tadalafil and teicoplanin showed no signs of radiolysis. Extemporaneous loading of buprenorphine and polymyxin B onto sterilized microspheres was attempted to avoid radiolysis. The sustained release profiles were maintained without degrading the drug. DrugMic appears to be a suitable platform for sustained drug release. The loading mode can be adapted according to the stability of the drug to irradiation.Graphical

The production of artificial intelligence (AI) requires human labour, with tasks ranging from well-paid engineering work to often-outsourced data work. This commentary explores the economic and policy implications of improving working conditions for AI data workers, specifically focusing on the impact of clearer task instructions and increased pay for data annotators. It contrasts rule-based and standard-based approaches to task instructions, revealing evidence-based practices for increasing accuracy in annotation and lowering task difficulty for annotators. AI developers have an economic incentive to invest in these areas as better annotation can lead to higher quality AI systems. The findings have broader implications for AI policy beyond the fairness of labour standards in the AI economy. Testing the design of annotation instructions is crucial for the development of annotation standards as a prerequisite for scientific review and effective human oversight of AI systems in protection of ethical values and fundamental rights.

Abstract Background The human intestinal microbiota plays a crucial role in health and disease, yet recreating its complex interactions in vitro remains a significant challenge. Gut3Gel introduced herein as a novel in vitro mucus model, designed for culturing complex microbial communities without the need for anaerobic conditions. Results Intestinal microbiota samples from five donors were individually inoculated in Gut3Gel and cultured for 72 hours. Taxonomic composition assessment revealed that Gut3Gel sustains diverse microbial species and particularly promotes the growth of mucus-associated bacteria including Bifidobacterium, Lactobacillus, and Faecalibacterium. Microbial metabolic activity within Gut3Gel was confirmed by the increased production of acetate and butyrate, as well as of exopolysaccharides. Conclusions Gut3Gel reproduces physiological features of intestinal mucus, providing a reproducible and scalable culturing platform. These features make Gut3Gel a promising tool for advancing microbiota research with potential applications in drug screening, microbiome mining, and high throughput testing of microbiome-modulating molecules.