Results 151 to 160 of about 171,149 (281)

Comparative Genomics Reveals Genetic Adaptations to Diving-Associated Foraging in Anseriformes. [PDF]

Ecol Evol
Xia T, Zhang L, Li Y, Li S, Gao X, Zhou S, Ding J, Sun G, Wang X, Yang X, Wu X, Zhang H.   +11 more
europepmc   +1 more source

Smart, Bio‐Inspired Polymers and Bio‐Based Molecules Modified by Zwitterionic Motifs to Design Next‐Generation Materials for Medical Applications

Advanced Functional Materials, EarlyView.
Bio‐based and (semi‐)synthetic zwitterion‐modified novel materials and fully synthetic next‐generation alternatives show the importance of material design for different biomedical applications. The zwitterionic character affects the physiochemical behavior of the material and deepens the understanding of chemical interaction mechanisms within the ...
Theresa M. Lutz, Jonas De Breuck, Sahar Salehi, Meike N. Leiske   +3 more
wiley   +1 more source

Parent-child discrepancies in reports of pre- and early adolescent level of personality functioning. [PDF]

Front Psychiatry
Boone K, LaRocca J, Balzen KM, Sharp C, Babinski DE.   +4 more
europepmc   +1 more source

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

The impact of completion time on the reliability and validity of online electronic questionnaires: a preliminary study of the FABQ and ODI scales. [PDF]

Front Psychol
Bi S, Wang C, Liu H, Huang L, Tian H, Zhang X, Li H.   +6 more
europepmc   +1 more source

Circular‐Polarization‐Sensitive Organic Photodetectors with a Chiral Nanopatterned Electrode Inverse‐Designed by Genetic Algorithm

Advanced Functional Materials, EarlyView.
A chiral photodetector capable of selectively distinguishing left‐ and right‐handed circularly polarized light is experimentally demonstrated. The device, which features a nanopatterned electrode inverse‐designed by a genetic algorithm within a metal–dielectric–metal nanocavity that incorporates a vacuum‐deposited small‐molecule multilayer, exhibits ...
Kyung Ryoul Park, Jewoong Lee, In‐Suk Choi, Changsoon Kim   +3 more
wiley   +1 more source

Augmented medial rectus recession versus botulinum toxin therapy for acute acquired comitant esotropia: analysis of outcomes and recurrence predictors. [PDF]

Br J Ophthalmol
Li Y, Zhang T, Ding J, Hao R, Chen L, Xie F, Zhu P, Zhang W.   +7 more
europepmc   +1 more source

Ceramic Particle‐Reinforced Medium‐Entropy Alloys With Outstanding Mechanical Properties Prepared by Novel Micro‐LPBF

Advanced Functional Materials, EarlyView.
An innovative medium entropy alloy (MEA) composite material was fabricated via micro laser powder bed fusion (μ‐LPBF) with appropriate nano‐ceramic particles doping and exhibited markedly improved overall performance, including synergistically enhanced strength and ductility, increased hardness and compressive strength, improved wear resistance and ...
Zhonglin Shen, Mingwang Fu
wiley   +1 more source

A Systematic Review Comparing Marginal Bone Loss Around Convergent Abutments on Bone-Level and Tissue-Level Implants. [PDF]

Int J Dent
Martelli M, Gargari M, Rosa A.
europepmc   +1 more source

Doublesequence transformations that guarantee a given rate of p-convergence

, 2015
In this paper the following sequence space is presented. Let [t] be a positive double sequence and define the sequence space Omega '' (t) = {complex sequences x : x(k,l) = O(t(k,l))}. The set of geometrically dominated double sequences is defined as G ''-U(r,s is an element of(0,1))G(r,s) where G (r,s) - {complex sequences x : x(k,l) = O(r(k)s(l))} for
Patterson, Richard F., Savaş, Ekrem
openaire   +1 more source