Results 201 to 210 of about 175,765 (269)

Reference genome bias in light of species-specific chromosomal reorganization and translocations. [PDF]

Genome Biol
Maurstad MF, Hoff SNK, Cerca J, Ravinet M, Bradbury I, Jakobsen KS, Præbel K, Jentoft S.   +7 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

The Impact of Pleistocene Glacial Cycles on the Evolutionary Diversification of the Arctic-Alpine Silene acaulis Species Complex. [PDF]

Mol Ecol
Reutimann O, Halstead-Nussloch G, Tribsch A, Ibarra PT, Zemp N, Widmer A, Fischer MC.   +6 more
europepmc   +1 more source

A Bespoke Programmable Interpenetrating Elastomer Network Composite Laryngeal Stent for Expedited Paediatric Laryngotracheal Reconstruction

Advanced Functional Materials, EarlyView.
A programmable interpenetrating double‐network architecture, created via 3D‐TIPS printing and resin infusion, synergistically combines thermoplastic and thermosetting elastomers to balance structural rigidity and surface softness—crucial for paediatric laryngeal stents.
Elizabeth F. Maughan, Lei Wu, Dong Zhang, Linxiao Wu, Graca Ferreira Vaz Pinto Mendes, Wanqiao J. Tu, Heping Ma, Toby J. Proctor, Colin R. Butler, Thomas Kjærgaard, Mark W. Lowdell, Martin A. Birchall, Robert E. Hynds, Richard Hewitt, Wenhui Song   +14 more
wiley   +1 more source

Contrasting Nitrogen Fixation Between Arctic and Atlantic Waters in the Fram Strait. [PDF]

Microb Ecol
Zander S, von Friesen LW, Gonçalves-Araujo R, Grosso O, Benavides M, Granskog MA, Riemann L.   +6 more
europepmc   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

A Pilot Investigation of the Hidden Communities Associated With Dryas octopetala L. (Rosaceae) in Svalbard Using DNA Metabarcoding. [PDF]

Environ Microbiol Rep
Carvalho-Silva M, Rosa LH, Gonçalves VN, Ramada MHS, de Souza KB, de Araújo GSM, Lopes FAC, Convey P, Câmara PEAS.   +8 more
europepmc   +1 more source

Investigation of the influence of high-latitude ionospheric current systems on the results of impedance measurement in the Arctic on the example of the Kola Peninsula

V. A. Lyubchich, Yu. A. Shapovalova
openalex   +2 more sources

Harnessing Non‐Covalent Protein–Protein Interaction Domains for Production of Biocatalytic Materials Systems

Advanced Functional Materials, EarlyView.
Non‐covalent protein–protein interactions mediated by SH3, PDZ, or GBD domains enable the self‐assembly of stable and biocatalytically active hydrogel materials. These soft materials can be processed into monodisperse foams that, once dried, exhibit enhanced mechanical stability and activity and are easily integrated into microstructured flow ...
Julian S. Hertel, Maria Alessandra Martini, Marius Stoeckle, Annika J. Weber, Kersten S. Rabe, Christof M. Niemeyer   +5 more
wiley   +1 more source

A novel approach to predict the arctic stratospheric ozone from stratospheric polar vortex dynamics using explainable machine learning. [PDF]

Sci Rep
Kumar A, Mandal J, Mehrdad S, Jacobi C.
europepmc   +1 more source