Results 211 to 220 of about 1,404,564 (307)

Substantial changes in land and forest management led to critical transitions in peatland functioning over the last 700 years. [PDF]

Sci Rep
Marcisz K, Bąk M, Lamentowicz M, Kołaczek P, Theurer T, Matulewski P, Mauquoy D.   +6 more
europepmc   +1 more source

ANXA2‐mediated Phagocytosis Generates AR+ Macrophages to Confer Enzalutamide Resistance in Prostate Cancer

Advanced Science, EarlyView.
A novel resistance mechanism is mediated through phagocytosis of cancer cells by AR+ TAMs. This process, dependent on ANXA2, enables macrophages to acquire AR protein from engulfed tumor cells. The internalized AR translocates into the macrophage nucleus, where it binds directly to the IL‐6 promoter, augmenting IL‐6 transcription and secretion ...
Yong Luo, Tianlong Luo, Lingfeng Li, Qi Sun, Dongquan Li, Shanhe Huang, Zonglin Li, Weilong Lin, Yuan Ou, Tao Du, Shengmeng Peng, Kewei Xu, Bisheng Cheng, Hai Huang   +13 more
wiley   +1 more source

Roosting behaviour of greater noctule bats (<i>Nyctalus lasiopterus</i>) in forests in Spain and implications for species conservation and forest management. [PDF]

R Soc Open Sci
Kelm DH, Pastor-Bevia D, Nogueras J, Popa-Lisseanu AG, Sánchez Í, Ibáñez C.   +5 more
europepmc   +1 more source

Photodynamic Priming and Minocycline Overcome Chemoresistance by Reprogramming the Pancreatic Tumor Immune Microenvironment In Vivo

Advanced Science, EarlyView.
Dual priming with minocycline and photodynamic priming reprograms the pancreatic tumor microenvironment to overcome chemoresistance. By suppressing DNA repair enzyme Tdp1, inducing photooxidative damage, and enhancing irinotecan delivery via light‐activated nanoencapsulation, this strategy remodels the tumor microenvironment and drives immune ...
Fernanda V. Cabral, Jose Quilez‐Alburquerque, Olivia Mooradian, Shivendran Vytheswarran, Badri Parshad, Girgis Obaid, Huang‐Chiao Huang, Tayyaba Hasan   +7 more
wiley   +1 more source

Disentangling the Impact of Forest Management Intensity Components on Soil Biological Processes. [PDF]

Glob Chang Biol
Klein-Raufhake T, Hölzel N, Schaper JJ, Elmer M, Fornfeist M, Linnemann B, Meyer M, Neuenkamp L, Rentemeister K, Santora L, Wöllecke J, Hamer U.   +11 more
europepmc   +1 more source

Highly Vertically Oriented Graphene Microstrip Pads With Ultrahigh Through‐Plane Thermal Conductivity and Ultralow Compressive Modulus for Efficient Heat Dissipation

Advanced Science, EarlyView.
Vertically aligned graphene microstrip pads (GMPs) break the traditional thermomechanical trade‐off in thermal interface materials. It simultaneously achieves an ultrahigh through‐plane thermal conductivity of 565.92 W m−1 K−1 and an ultralow compressive modulus below 115.16 kPa.
Xu Ran, Yaru Wang, Sijia Wu, Hejun Wang, Junhao Shen, Litao Sun, Xing Wu, Hengchang Bi   +7 more
wiley   +1 more source

The importance of different forest management systems for people's dietary quality in Tanzania. [PDF]

Landsc Ecol
Olesen RS, Reiner F, den Braber B, Hall C, Kilawe CJ, Kinabo J, Msuya J, Rasmussen LV.   +7 more
europepmc   +1 more source

Data‐Driven Modeling of Composition–Processing–Microstructure Relations for Recycled Aluminum Cast Alloys

Advanced Science, EarlyView.
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang, Waleed Mohammed, Dierk Raabe   +2 more
wiley   +1 more source

Assessing the Impact of Customary Ownership of Trees and Socioeconomic Factors on the Participatory Forest Management in Jharkhand, India. [PDF]

Environ Manage
Kar S, Subedi MR, Kadam P, Dwivedi P.
europepmc   +1 more source

Decoupling Intrinsic Molecular Efficacy From Platform Effects: An Interpretable Machine Learning Framework for Unbiased Perovskite Passivator Discovery

Advanced Science, EarlyView.
This study establishes an interpretable machine learning framework that disentangles the intrinsic molecular efficacy of passivators from experimental platform effects—enabling unbiased, high‐throughput discovery of effective perovskite surface modifiers.
Jing Zhang, Ziyuan Li, Shan Gao, Zhen Zhu, Jing Wang, Xiangmei Duan   +5 more
wiley   +1 more source