JMIR Publications’ Journal of Medical Internet Research invites submissions on Digital Health Strategic Planning
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Updates every hour. Last Updated: 26-Nov-2025 13:11 ET (26-Nov-2025 18:11 GMT/UTC)
The Agricultural non-CO2 Greenhouse gAs InveNtory (AGAIN) is a bottom-up model following the Tier 2 methodology of the IPCC to estimate emission trajectories and evaluate the mitigation potential of China’s agricultural non-CO2 greenhouse gas (GHG) emissions at the provincial level through 2060 under four scenarios: business-as-usual (BAU), current policy (CP), conventional technical potential (CTP), and maximum technical potential (MTP). The model covers six agricultural subsectors, including freshwater aquaculture, and incorporates eight policy objectives and seventeen agricultural mitigation technologies within its scenario module. It can identify priority mitigation regions and sectors under different scenarios.
A recent study published in National Science Review has introduced a policy-specific assessment framework featuring a novel Synergy Index, designed to uncover how air pollution control and carbon mitigation can move in harmony or fall out of step. Drawing on China’s on-road transportation sector as a case study, the research quantifies both the realized and untapped synergies in reducing greenhouse gases (GHGs) and improving air quality. The findings paint a compelling picture: from 2010 to 2020, China’s on-road transportation emission control policies achieved lower GHG emissions, cleaner air, and substantial public health benefits. However, behind this progress lies an unexpected finding showing that policy synergies have been weakening, highlighting the urgency of robust structural transitions to maintain long-term carbon and air-pollution co-control, to advance a sustainable pathway toward the Sustainable Development Goals, and to fullfil the newly announced NDC target.
As AI—and the ethical debate surrounding it—accelerates, scientists argue that understanding consciousness is now more urgent than ever. Researchers writing in Frontiers in Science warn that advances in AI and neurotechnology are outpacing our understanding of consciousness—with potentially serious ethical consequences.
A new study suggests screenings to identify children who struggle to learn to read may not work as intended in all schools: Many teachers did not receive adequate training to perform the tests, and about half reported they were not confident children who need extra instruction in reading end up receiving it.