Results 241 to 250 of about 5,834,205 (394)
Breeding and regional production capacity performance of new sugarcane cultivar GT 66. [PDF]
Liang Q+12 more
europepmc +1 more source
A two‐scale numerical analysis of intra‐yarn hybrid natural/synthetic woven composites
Two‐scale homogenization model predicts mechanical properties and stress fields in intra‐yarn hybrid natural/synthetic woven composites. Abstract This paper investigates how combining natural and synthetic fibers within yarns, altering the degree of hybridisation, and varying weave architectures affect the homogenized elastic properties and stress ...
Nenglong Yang+4 more
wiley +1 more source
3D printing and the tensile testing of the composite samples. Abstract This study examined the effects of adding plasticizer to 3D printable hemp fiber‐reinforced polycarbonate (PCH) composites to improve composite properties and facilitate the 3D printing process.
Irem Ceylan Engin+2 more
wiley +1 more source
Biotechnology strategies with industrial fuel ethanol Saccharomyces cerevisiae strains for efficient 1st and 2nd generation bioethanol production from sugarcane [PDF]
Boris U. Stambuk
openalex +1 more source
The overwintering situation and influencing factors of Fulmekiola serrata in Yunnan sugarcane planting areas of China. [PDF]
Yin J+6 more
europepmc +1 more source
Utilizing cactus pear by‐products as fillers to develop PLA‐based biocomposites through melt mixing. Abstract This work explores sustainable and innovative solutions for valorizing by‐products from Opuntia ficus‐indica (cactus pear), a fruit widely grown in Sicily, the world's second‐largest producer. The peel and glochids of cactus pears were used for
Luigi Botta+4 more
wiley +1 more source
The Vital Roles of Agricultural Crop Residues and Agro-Industrial By-Products to Support Sustainable Livestock Productivity in Subtropical Regions. [PDF]
Shah AM+11 more
europepmc +1 more source
AI/ML and RSM‐Driven Optimization of Polymeric Nanocomposites for Enhanced Properties. Abstract This review elucidates the amalgamation of machine learning (ML), artificial intelligence (AI), and response surface methodology (RSM) for the optimization of fabrication and the enhancement of the properties of polymeric nanocomposites.
Yasir Raza+9 more
wiley +1 more source