Results 91 to 100 of about 232,568 (285)
Advanced Functional Materials, EarlyView.This work explores Li‐substituted P2 layered oxides for Na‐ion batteries by crystallographic and electrochemical studies. The effect of lithium on superstructure orderings, on phase transitions during synthesis and electrochemical cycling and on the interplay of O‐ versus TM‐redox is revealed via various advanced techniques, including semi‐simultaneous
Mingfeng Xu +5 more
wiley +1 more source
The impact of the compaction and mineralogical composition on the retention behaviour of Opalinus Clay [PDF]
E3S Web of Conferences, 2020 Llabjani Qazim +2 more
doaj +1 more source
Pengembangan E-Learning Berbasiskan LMS untuk Sekolah, Studi Kasus SMA/SMK di Sumatera Utara
Jurnal Nasional Teknik Elektro dan Teknologi Informasi, 2017 This study develops an e-learning system customized to the needs of high school/vocational school level, with a case study of two schools in North Sumatra.
Roni Yunis, Kristian Telaumbanua
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Low Reynolds number multiple-time-scale turbulence model and calculations of steady and pulsating shear layers [PDF]
A low Reynolds number multiple-time-scale turbulence model (LMS) and its application to fully developed turbulent channel flows and pulsating pipe flows are presented.
Kim, Sang-Wook
core +1 more source
Advanced Functional Materials, EarlyView.Biofabrication aims at providing innovative technologies and tools for the fabrication of tissue‐like constructs for tissue engineering and regenerative medicine applications. By integrating multiple biofabrication technologies, such as 3D (bio) printing with fiber fabrication methods, it would be more realistic to reconstruct native tissue's ...
Waseem Kitana +2 more
wiley +1 more source
Detection of senescence using machine learning algorithms based on nuclear features
Nature CommunicationsCellular senescence is a stress response with broad pathophysiological implications. Senotherapies can induce senescence to treat cancer or eliminate senescent cells to ameliorate ageing and age-related pathologies.
Imanol Duran +14 more
doaj +1 more source
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 +3 more
wiley +1 more source
MedienPädagogik: Zeitschrift für Theorie und Praxis der Medienbildung, 2018 Während die Akzeptanz und positive Wirkung videofallbasierten Lernens empirisch belegt ist (Schrader et al. 2010), ist die Frage, unter welchen Bedingungen wissenschaftlich abgesicherte Videofallarbeitskonzepte in die Aus- und Weiterbildungspraxis von ...
Dagmar Hilfert-Rüppell +2 more
doaj +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 +7 more
wiley +1 more source
Meta‐Rod Mechanical Metamaterials With Programmable Reconfiguration
Advanced Functional Materials, EarlyView.Existing mechanical metamaterials achieve programmable large deformations in planar square or cubic configurations, restricted by required complex boundary conditions. This research proposes a 1D metamaterial, Meta‐rod, with linear, bending, twisting, area, and volume deformation modes.
Atharva Pande, Lyes Kadem, Hang Xu
wiley +1 more source