Results 41 to 50 of about 2,625,869 (258)

The extinction probability in systems randomly varying in time

Nuclear Engineering and Technology, 2017
The extinction probability of a branching process (a neutron chain in a multiplying medium) is calculated for a system randomly varying in time. The evolution of the first two moments of such a process was calculated previously by the authors in a system
Imre Pázsit, M.M.R. Williams, Lénárd Pál   +2 more
doaj   +1 more source

Extinction risk of threatened and non-threatened mosses: Reproductive and ecological patterns

Global Ecology and Conservation, 2022
For the conservation of species, it is crucial to predict extinction risk by discerning drivers such as biological traits and habitat specificity within the current context of environmental change.
Juan Antonio Calleja, Gemma Domènech, Llorenç Sáez, Francisco Lara, Ricardo Garilleti, Belén Albertos   +5 more
doaj   +1 more source

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source

Stabilizing spatially-structured populations through adaptive Limiter Control. [PDF]

PLoS ONE, 2014
Stabilizing the dynamics of complex, non-linear systems is a major concern across several scientific disciplines including ecology and conservation biology.
Pratha Sah, Sutirth Dey
doaj   +1 more source

Near‐Infrared Light‐Activated Polydopamine Nanoparticles Conjugated With Transferrin Peptides for Enhanced Brain Accumulation

Advanced Healthcare Materials, EarlyView.
This study demonstrates that Tf‐PDA NPs combine a receptor‐mediated targeting with mild photothermal activation to enhance nanoparticle accumulation in the brain. NIR‐activated Tf‐PDA NPs increase BBB permeability to NPs in vitro and in vivo without inducing cytotoxicity or adverse immune responses.
Rafaela Ferrão, Susana Simões, Paulo Rodrigues‐Santos, Vitor Francisco, Akhilesh Rai, Lino Ferreira   +5 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Impulsive Perturbations of a Three-Species Food Chain System with the Beddington-DeAngelis Functional Response

Discrete Dynamics in Nature and Society, 2012
The dynamics of an impulsively controlled three-species food chain system with the Beddington-DeAngelis functional response are investigated using the Floquet theory and a comparison method.
Younghae Do, Hunki Baek, Dongseok Kim
doaj   +1 more source