Results 211 to 220 of about 434,263 (356)

VDLIN: A Deep Learning‐Based Platform for Methylcobalamin‐Inspired Immunomodulatory Compound Screening

Advanced Science, EarlyView.
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo, Yang Zhao, Xianle Rong, Chenxi Niu, Shiyu Hu, Qiang Liu, Fuping You   +6 more
wiley   +1 more source

Large-Scale Illegal Bryophyte Harvesting in Protected Areas of East-Central Europe, Hungary: Conservation Implications. [PDF]

Plants (Basel)
Szűcs P, Rózsa S, Marschall M.
europepmc   +1 more source

BioEnergy and the Forest Products Industry in the Atlantica Region

, 2008
Thor Olesen
openalex   +2 more sources

The Four Corners timber harvest and forest products industry, 2012 [PDF]

, 2016
Colin B. Sorenson, Steven W. Hayes, Todd A. Morgan, Eric A. Simmons, Micah G. Scudder, Chelsea P. McIver, Mike T. Thompson   +6 more
openalex   +1 more source

Enhancing the Ultrasonic Welding of Wood Using 3D Printed Lignin Energy Directors

Advanced Science, EarlyView.
Sustainable manufacturing for lightweight structures using ecofriendly materials will be key to reducing material consumption and lowering carbon footprints. Here, an approach is presented to weld wood using ultrasonic vibrations with material at the joint interface to direct energy.
Muhamad Amani, Kathrin Weiland, Mark Ablonczy, Natalia Sofia Guevara‐Sotelo, Ioannis Zygouris, Johan van Stuyvesant Meijen, Kunal Masania   +6 more
wiley   +1 more source

Exploiting the Biorefinery Potential of Spent Mushroom Substrate: The Time to Do It Is Now. [PDF]

Molecules
Martín C, Xiong S, Zervakis GI.
europepmc   +1 more source

Utah's forest products industry and timber harvest, 2020 [PDF]

Thale Dillon, Lucas Townsend, Ben Irey, Eric A. Simmons, Todd A. Morgan, John D. Shaw   +5 more
openalex   +1 more source

Data‐Driven Printability Modeling of Hydrogels for Precise Direct Ink Writing Based on Rheological Properties

Advanced Science, EarlyView.
A predictive model for 3D printability is developed by integrating rheological analysis, including the Large Amplitude Oscillatory Shear (LAOS) test, with machine learning. With prediction errors under 10%, the model shows that post‐extrusion recovery controls horizontal printability, while high‐strain‐rate nozzle flow dictates vertical printability ...
Eun Hui Jeong, Jiho Choi, Han Bi Park, Ji Woo Lee, Seo Yeon Bae, Byoung Soo Kim, ChangKyu Yoon, Jun Dong Park   +7 more
wiley   +1 more source

Machine Learning in Transforming the Food Industry. [PDF]

Foods
Hussain MA, Khan MIH, Karim A.
europepmc   +1 more source

Rebranding the Forest Products Industry – It's a Great Place to Work! [PDF]

, 2013
David Lindsay
openalex   +1 more source