Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Research on Development and Challenges of Forest Food Resources from an Industrial Perspective-Alternative Protein Food Industry as an Example. [PDF]
Guo Y +5 more
europepmc +1 more source
Research Progress on Forest Eco-Product Value Realization and Eco-Industry: The Inspiration for Planted Forests in Karst Desertification Control [PDF]
Zefu Zhang +3 more
openalex +1 more source
Hepatocyte BDNF Acts as a Novel Immune Checkpoint to Restrain TLR4‐Mediated Acute Hepatitis
This study identifies hepatocyte‐derived BDNF as an endogenous TLR4 antagonist that alleviates acute hepatitis. BDNF is downregulated in hepatocytes via REST‐mediated transcriptional repression during ALI/ALF. Mechanistically, BDNF binds to TLR4 on macrophages to suppress inflammation.
Weiwei Zhu +15 more
wiley +1 more source
Enhancing the Value Added of Lignin Extracted from <i>Pinus massoniana</i> Lamb. via DES Pretreatment. [PDF]
Cheng H +6 more
europepmc +1 more source
California’s forest products industry and timber harvest, 2006 [PDF]
Todd A. Morgan +4 more
openalex +1 more source
THUMPD1 drives a tumor‐suppressive signaling cascade in lung adenocarcinoma by promoting IGF2R expression. IGF2R associates with PPP2R1A to suppress AKT and activate AMPK, leading to SLC31A1 upregulation and copper accumulation. Elevated copper disrupts mitochondrial metabolism and induces excessive mitophagy, thereby restraining tumor growth and ...
Kai Wu +10 more
wiley +1 more source
Conceptual pitfalls in the forest carbon debate : Comment solicited by Prof Yiping (Rocky) Wu, 30 Aug. 2025, revised Dec 2025. [PDF]
Körner C.
europepmc +1 more source
An Integrated NLP‐ML Framework for Property Prediction and Design of Steels
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju +5 more
wiley +1 more source

