Results 121 to 130 of about 136,988 (261)

Avian H7N9 influenza viruses are evolutionarily constrained by stochastic processes during replication and transmission in mammals. [PDF]

Virus Evol, 2023
Braun KM, Haddock Iii LA, Crooks CM, Barry GL, Lalli J, Neumann G, Watanabe T, Imai M, Yamayoshi S, Ito M, Moncla LH, Koelle K, Kawaoka Y, Friedrich TC.   +13 more
europepmc   +1 more source

Analog Control of Reconfigurable GHz Resonances from Chiral Spin Texture Ensembles

Advanced Materials, EarlyView.
Tunable microwave components ‐ essential for wireless technology ‐ typically require costly, customized nanofabrication. We show that ambient spin texture ensembles (e.g., magnetic skyrmions) in chiral multilayer films can enable reconfigurable microwave resonators.
T. S. Suraj, Jifei Huang, Hui Ru Tan, Jing Zhou, Abhijit Ghosh, Hang Khume Tan, May Inn Sim, Alexander K. J. Toh, Xiaoye Chen, Anjan Soumyanarayanan   +9 more
wiley   +1 more source

Slow and steady wins the race: Spatial and stochastic processes and the failure of suppression gene drives. [PDF]

Mol Ecol, 2022
Paril JF, Phillips BL.
europepmc   +1 more source

Rethinking Extracellular Vesicle Signaling

Advanced Materials, EarlyView.
Extracellular vesicles enable cell communication beyond intracellular cargo delivery. This perspective highlights two plausible surface‐based signaling modes: “bind‐and‐stay” and “bind‐and‐leave.” Transient binding to multiple cells challenges the one‐vesicle‐one‐cell model.
Wojciech Chrzanowski, Joy Wolfram
wiley   +1 more source

Co-Occurrence Relationship and Stochastic Processes Affect Sedimentary Archaeal and Bacterial Community Assembly in Estuarine-Coastal Margins. [PDF]

Microorganisms, 2022
Yue Y, Tang Y, Cai L, Yang Z, Chen X, Ouyang Y, Dai J, Yang M.   +7 more
europepmc   +1 more source

Generative Models for Crystalline Materials

Advanced Materials, EarlyView.
Generative machine learning models are increasingly used in crystalline materials design. This review outlines major generative approaches and assesses their strengths and limitations. It also examines how generative models can be adapted to practical applications, discusses key experimental considerations for evaluating generated structures, and ...
Houssam Metni, Laura Ruple, Lauren N. Walters, Luca Torresi, Jonas Teufel, Henrik Schopmans, Jona Östreicher, Yumeng Zhang, Marlen Neubert, Yuri Koide, Kevin Steiner, Paul Link, Lukas Bär, Mariana Petrova, Gerbrand Ceder, Pascal Friederich   +15 more
wiley   +1 more source

Community Disassembly in a Fragmented Tropical Landscape Driven by Both Deterministic and Stochastic Processes. [PDF]

Ecol Evol
Azhar I, Sihaloho HF, Struebig MJ, Senawi J, Rossiter SJ, Phillips CD, Kingston T.   +6 more
europepmc   +1 more source

Inference of dominant modes for linear stochastic processes. [PDF]

R Soc Open Sci, 2021
MacKay RS.
europepmc   +1 more source

Stochastic Processes and Statistics [PDF]

Proceedings of the National Academy of Sciences, 1934
openaire   +3 more sources

Droplet Electricity Generators With Maximized Energy Collection Zone Enabled by Aloe‐Inspired Midrib and Cuticle

Advanced Materials, EarlyView.
An Aloe‐pinspired droplet electricity generator (A‐DEG) overcomes the limited energy collection zone of conventional DEGs by guiding impact droplets through a channeling midrib and artificial cuticle. The channeling midrib induces uni‐directional droplet spreading, while the artificial cuticle on the midrib further reinforces this behavior through its ...
Gibeom Lee, Eunbyeol Kim, Kyongtae Choi, Minjun Song, Sunmin Jang, Dongwhi Choi, Donghyun Seo, Min‐Gyu Lee, Younghoon Lee   +8 more
wiley   +1 more source