Results 151 to 160 of about 1,082,353 (268)

Discrepancies Between Micro Versus Macroscale Viscoelastic Properties in a Microplastic‐Tissue Composite Model

Advanced Engineering Materials, EarlyView.
This study explores the discrepancies between bulk mechanics and spatial mapping in a tissue‐mimetic hydrogel model. Microplastic particles create localized stiff mechanical microenvironments that are detectable by cellular‐scale nanoindentation but leave bulk properties unchanged as measured by rheology.
Ahron T. Verschleisser, Baptiste Le Roi, Omri Leshem, Joshua M. Grolman   +3 more
wiley   +1 more source

Systematic discovery of pro- and anti-HIV host factors in primary human CD4+ T cells. [PDF]

Cell
Rathore U, Dugan E, Thornton H, Kumar VE, Dajani R, Burdick RC, Young JM, Steinhart Z, Lao R, Delviks-Frankenberry KA, Choi W, Henriques WS, Echeverria I, Dann E, Dureja I, Pathak N, Arce MM, McKetney J, Umhoefer JM, Parulekar S, Schmidt R, Polacco BJ, Neidleman J, Montano M, Nguyen VQ, Sali A, Levy JA, Tenthorey JL, Cheng Y, Roan NR, Swaney DL, Kaake RM, Dodgson SE, Hiatt J, Pathak VK, Malik HS, Krogan NJ, Marson A.   +37 more
europepmc   +1 more source

Fabrication Routes for Ionic Conducting Fiber Strain Sensors

Advanced Engineering Materials, EarlyView.
Ionic conducting fiber strain sensors (ICFSs) offer compliant, textile‐integrable sensing. Thus far, the commercialization of ICFSs has been constrained by fiber fabrication routes. This review provides a fabrication‐centric analysis of ICFSs correlating processing strategies with material properties and scalability.
Leo John Kershaw, Zhanhong Yang, Anne Ladegaard Skov, Magdalena Skowyra   +3 more
wiley   +1 more source

Viral variant but not host factors associate with SARS-CoV-2 viral kinetics. [PDF]

Commun Med (Lond)
Hahn WO, Fisher LH, Ward A, Grant S, Yen C, Randhawa AK, Li X, Ramirez S, Espy N, Hural J, Hanke J, Roychoudhury P, Kelley CF, Rouphael N, Cantos VD, Pinto J, Cahn PE, Manentsa M, Makhema J, Samaneka W, Bhondai-Mhuri M, Stranix-Chibanda L, Losso MH, Garcia EAR, Innes C, Chinula L, Lama JR, Gallardo-Cartagena JA, Kabengele C, Chilengi R, Nchabeleng M, Tieu HV, Hoagland B, Grinsztejn B, Brumskine WL, Ahmed K, Wallis CL, Greninger AL, Corey L, Hyrien O.   +39 more
europepmc   +1 more source

Morphology, Transport, and Dynamics of Protein Adsorption in Open‐Cell Metal Foam

Advanced Engineering Materials, EarlyView.
Stainless steel (SS) open‐cell foams are shown to adsorb more protein per unit area than previously reported 316L SS and chromium oxide surfaces under static and flow conditions. An integrated approach combining 3D pore imaging, flow simulation, and protein adsorption experiments characterizes the foam’s performance.
Chinmaya Prerana Inguva, Joseph Lavoie, Afsaneh Rabiei   +2 more
wiley   +1 more source

CRISPR-based screening of host factors in veterinary viral infections: from target discovery to host-directed antiviral strategies. [PDF]

Front Vet Sci
Liu Y, Xu L, Yin Y.
europepmc   +1 more source

Electrodeposition in Structural Lattices of Variable Architectures

Advanced Engineering Materials, EarlyView.
Electrodeposition enables geometry‐sensitive, autonomous void filling while simultaneously tuning chemical and mechanical properties. The development of approaches that can autonomously fill and heal material voids and yield composites with tailorable properties is increasingly relevant in engineering.
Yeong‐Man Kwon, Jingwen Zhang, Guido Musso, Alessandro F. Rotta Loria   +3 more
wiley   +1 more source

Proximity Labelling-Based Proteomics Identifies Antiviral Host Factors Associated With the Potexvirus Replicase. [PDF]

Mol Plant Pathol
Chang YC, Takatsuka S, Eguchi A, Sasaki N, Itoh Y, Hisada M, Arie T, Komatsu K.   +7 more
europepmc   +1 more source

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

Advanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad, Saurabh Thorat, Andre Loch Gesing, Dominik Huber, Christopher Zellner, Patrick Egger, Georg Pfusterschmied, Ulrich Schmid, Michael Schneider   +8 more
wiley   +1 more source

Host Factors Potentially Contributing to Increased Susceptibility in Certain Layer Chicken Lines. [PDF]

Curr Issues Mol Biol
Chen Y, Xiong J, Wang Y, Huang S, Fan M, Yang H, Hu Z, Zhao J, Yang C, Li J, Wang J, Huang Z.   +11 more
europepmc   +1 more source