Results 61 to 70 of about 145,655 (304)
Lipid nanoparticles containing messenger RNA are characterized by sedimentation velocity analytical ultracentrifugation using UltraScan's new Custom Grid algorithm to provide multi‐dimensional distributions for partial specific volume (particle density), molar mass, sedimentation, diffusion, and hydrodynamic radius.
Sophia Bird +8 more
wiley +1 more source
Model updating using uncertain experimental modal data [PDF]
The propagation of parameter uncertainty in structural dynamics has become a feasible method to determine the probabilistic description of the vibration response of industrial scale nite element models.
Govers, Yves, Link, Michael
core
The Risk of Cancer from CT Scans and Other Sources of Low-Dose Radiation: A Critical Appraisal of Methodologic Quality [PDF]
Introduction: Concern exists that radiation exposure from computerized tomography (CT) will cause thousands of malignancies. Other experts share the same perspective regarding the risk from additional sources of low-dose ionizing radiation ...
Doss, Mohan, PhD +3 more
core
Fluorine‐Free Soft Nanocomposites for High‐Speed Liquid Impact Repellence
Fluorine‐free soft nanocomposite coatings are developed using silicone oil‐mediated mechanical‐stiffness control, enabling ‘dry’ liquid‐repellent surfaces that resist high‐speed water jet impacts up to ∼60 m/s. By tuning nanoparticle loading and oil content, the coatings also achieve >90% optical transparency, amphiphobicity with impact resistance to ...
Priya Mandal +4 more
wiley +1 more source
Experimental study and statistical analysis of lean iron ore concrete with high impact resistance
Impact tests were conducted using a specially made drop hammer impact device on concrete specimens (C60–C90) containing lean iron ore from mine waste as coarse aggregate to realize enhanced impact resistance in applications such as pile driving.
Shuai Tian, Xiaotao Zhang, Zhengkun Miao
doaj +1 more source
Artificial Intelligence as the Next Visionary in Liquid Crystal Research
The functions of AI in the research laboratory are becoming increasingly sophisticated, allowing the entire process of hypothesis formulation, material design, synthesis, experimental design, and reiterative testing to be automated. In our work, we conceive how the incorporation of AI in the laboratory environment will transform the role and ...
Mert O. Astam +2 more
wiley +1 more source
Fused Filament Fabrication (FFF), which is one of the additive manufacturing methods, has recently found industrial usage areas and has become frequently used.
Mumin Tutar
doaj
Detection of hollow heart disorder in watermelons using vibrational test and machine learning
The presence of internal voids in watermelons has an impact on the costs of producers and on consumer confidence. Various studies have shown that the vibrational parameters of the fruit are related to maturity, quality and the existence of internal ...
F.J. Simón-Portillo +4 more
doaj +1 more source
Characterizing the Dynamic Response of a Chassis Frame in a Heavy-Duty Dump Vehicle based on an Improved Stochastic System Identification [PDF]
This paper presents an online method for the assessment of the dynamic performance of the chassis frame in a heavy-duty dump truck based on a novel stochastic subspace identification (SSI) method. It introduces the use of an average correlation signal as
Chen, Zhi +3 more
core +2 more sources
Models of the human skin must combine the relevant biological contents and suitable biomaterials with the correct spatial organization. Performing compound screening on such in vitro models also requires fast and reproducible production methods of the models.
Elisa Lenzi +7 more
wiley +1 more source

