Results 201 to 210 of about 5,410,103 (288)
Editorial: Climate adaptations and challenges of non-native tree species in forest ecosystems. [PDF]
Klisz M +3 more
europepmc +1 more source
PtPdNiCuMnAu HENCs exhibit a remarkable half‐wave potential (E1/2) of 0.925 V vs. RHE. The catalyst displays exceptional electrochemical stability, with only a 4 mV negative shift in E1/2 and a mere 5.6% loss in MA after 10, 000 accelerated durability test cycles.
Qian Liu +5 more
wiley +1 more source
Climate drivers of historic tree growth in the Vienna Woods and prediction of future performance of eight selected tree species. [PDF]
Dolschak K +10 more
europepmc +1 more source
IMM‐H018, a dual IDO1/NE inhibitor, demonstrates potent therapeutic efficacy in sepsis by simultaneously targeting excessive inflammation and immune dysfunction. It prevents both primary and secondary sepsis through anti‐inflammatory, immune‐restoring, and renoprotective mechanisms, reducing organ damage, improving immune homeostasis, preserving kidney
Yi Zhou +11 more
wiley +1 more source
Diameter-driven variation in wood CO2 efflux across the stems and crowns of three temperate broadleaf tree species. [PDF]
Walker K, Shenkin A, Malhi Y.
europepmc +1 more source
SiDT1 Defines Plant Architecture Reminiscent of Green Revolution in Foxtail Millet
SiDT1 encodes a GA3‐oxidase that creates a semi‐dwarf, lodging‐resistant architecture reminiscent of the rice Green Revolution. The resulting ideotype performs well under dense planting and provides a valuable genetic resource for high‐yield, mechanized foxtail millet production. ABSTRACT Foxtail millet (Setaria italica) is a drought‐tolerant C4 cereal
Jianzhen Lv +13 more
wiley +1 more source
Cities as stepping stones for climate-driven tree species range shifts
Haesen S +6 more
europepmc +1 more source
Explaining Productivity Differences Among Tree Species via Biotic and Abiotic Factors. [PDF]
Tong L +6 more
europepmc +1 more source
Physics‐Guided Descriptors Enable Data‐Efficient Prediction of Battery Coulombic Efficiency
This work integrates multiscale simulations with data‐driven approaches to predict Coulombic efficiency (CE). Multiscale simulations of battery systems are performed to extract Physics‐Guided descriptors and construct a dataset. Machine learning models trained on this dataset are then subjected to interpretable analysis to identify the most influential
Qintao Sun +9 more
wiley +1 more source

