Results 121 to 130 of about 16,632 (225)

The temporal and spatial evolution law of seepage parameters in the filter based on the CFD-DEM coupled flow-solid approach. [PDF]

Sci Rep
Jingyu S, Faning D, Jun G, Wuwei Z, Yi Y.   +4 more
europepmc   +1 more source

Numerical Investigation of the Influence of Interparticle Cohesion During the Shear Behavior of Granular Soil

International Journal for Numerical and Analytical Methods in Geomechanics, EarlyView.
ABSTRACT Interparticle cohesive forces play a crucial role in governing the shear behavior of many soils; however, quantifying this effect remains challenging due to limited microscopic insights available from laboratory experiments. In this context, the current study aims to investigate the influence of microscale cohesion on the shear response using ...
Thao Doan, Buddhima Indraratna, Thanh T. Nguyen, Cholachat Rujikiatkamjorn   +3 more
wiley   +1 more source

A Micromechanics-Based Anisotropic Constitutive Model for Sand Incorporating the True Stress Tensor. [PDF]

Materials (Basel)
Yu P, Baoyin H, Wu K, Yang H.
europepmc   +1 more source

Prediction of In‐Plane Shear Mechanical Properties Through Degree of Bonding Characterization as a Function of Automated Fiber Placement Processing Parameters for Carbon Fiber/PEKK Composite Laminates

Polymer Composites, EarlyView.
Graphical abstract demonstrating manufacturing process and property characterization used in process modelling of interlaminar behavior across the range of process parameters. ABSTRACT Automated Fiber Placement (AFP) of fiber‐reinforced thermoplastic tapes enables rapid manufacturing by leveraging precise robotic lamination and in situ consolidation ...
Abd‐Elrahman Korayem, Chandra Kishore Reddy Emani, Saratchandra Kundurthi, Karthik Venkatesan, Si Chen, Javed Mapkar, Mahmoodul Haq   +6 more
wiley   +1 more source

Macro-micro deformation characteristics of undisturbed loess under different hydraulic paths. [PDF]

Sci Rep
Fu W, Shao S, She F, Luo A, Zhao Z.
europepmc   +1 more source

Branched‐Chain Amino and Keto Acids Reduce Hepatocyte Lipid Droplet Size and Number via Distinct Proteomic Pathways

PROTEOMICS, EarlyView.
ABSTRACT Branched‐chain amino acids (BCAA) and their corresponding keto acids (BCKA) have been associated with changes in hepatic lipid metabolism and the resulting alterations in intracellular triglyceride concentrations. In this study, we utilized a previously established hepatocyte model to investigate the impact of BCAA and BCKA supplementation on ...
Jayasimha R. Daddam, Mounica Sura, Edward Kolodziej, Maria Gojcaj, Zheng Zhou   +4 more
wiley   +1 more source

Discrete Element Method (DEM) Studies on Correcting the Particle Size Effect on the Shear Behaviors of Gravelly Soils. [PDF]

Materials (Basel)
Zhang X, Wu Z, Han H, Gao Y, Li Z, Xia P.   +5 more
europepmc   +1 more source

The Neuroprotective Effect of a Waste Byproduct Obtained From Pomegranate (Punica granatum)

Phytotherapy Research, EarlyView.
The Effect of a Waste Byproduct Obtained From Pomegranate on Neurodegeneration. ABSTRACT Pomegranate is an exceptional fruit that can have several beneficial effects on human health. The peel of pomegranate, a waste product, should be recovered as it still contains valuable constituents, including phenolic compounds, minerals and fibre. The recovery of
Jessica Maiuolo, Valeria Mazza, Rosamaria Caminiti, Francesca Oppedisano, Saverio Nucera, Salvatore Ragusa, Sara Ilari, Lucia Carmela Passacatini, Luigi Tucci, Giuseppe Trunfio, Vincenzo Mollace, Carolina Muscoli   +11 more
wiley   +1 more source

Activating Paper Applying Gelatin, Starch and Chitosan Coatings Loaded With O/W Emulsions Encapsulating Rutin, Carvacrol and α‐Tocopherol

Packaging Technology and Science, EarlyView.
Emulsion type governed the microstructure and functionality of papers coated with biopolymers matrix loaded with hydrophobic bioactives encapsulated into O/W emulsions. Emulsified systems improved UV–Vis barrier and antioxidant activity, whereas gelatin coatings with conventional or Pickering emulsions provided the greatest mechanical reinforcement ...
Kamila de L. Santos, Ana Mônica Quinta Barbosa Bittante, Rodrigo Vinícius Lourenço, Júlio Cesar de Carvalho Balieiro, Paulo José do Amaral Sobral   +4 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source