Results 221 to 230 of about 9,329,062 (313)

Hydrogel‐Based Capacitive Sensor Model for Ammonium Monitoring in Aquaculture

Advanced Engineering Materials, EarlyView.
Traditional techniques for monitoring aquaculture water quality, particularly ammonium levels, harm fish. This work presents a novel capacitive sensor with an ionic hydrogel transducer to monitor ammonium concentration in real time based on the ammonium‐induced hydrogel dissociation and osmotic pressure. Monitoring aquaculture water quality, especially
Mohammad Mirzaee, Mahdi Askari‐sedeh, Ali Zolfagharian, Mostafa Baghani   +3 more
wiley   +1 more source

Population Dynamics of Escherichia coli Growing under Chemically Defined Media. [PDF]

Sci Data
Aida H, Ying BW.
europepmc   +1 more source

Bridging Nature and Technology: A Perspective on Role of Machine Learning in Bioinspired Ceramics

Advanced Engineering Materials, EarlyView.
Machine learning (ML) is revolutionizing the development of bioinspired ceramics. This article investigates how ML can be used to design new ceramic materials with exceptional performance, inspired by the structures found in nature. The research highlights how ML can predict material properties, optimize designs, and create advanced models to unlock a ...
Hamidreza Yazdani Sarvestani, Aditi Singh, Behnam Ashrafi   +2 more
wiley   +1 more source

Modeling the variability of temperature on the population dynamics of Anopheles arabiensis. [PDF]

BMC Res Notes
Gizaw AK, Erena T, Simma EA, Menbiko DK, Etefa DT, Yewhalaw D, Deressa CT.   +6 more
europepmc   +1 more source

Polar bear population dynamics in the southern Beaufort Sea during a period of sea ice decline.

Ecological Applications, 2015
J. Bromaghin, T. Mcdonald, I. Stirling, A. Derocher, E. Richardson, Eric V. Regehr, D. Douglas, G. Durner, T. Atwood, S. Amstrup   +9 more
semanticscholar   +1 more source

Machine Learning Applied to High Entropy Alloys under Irradiation

Advanced Engineering Materials, EarlyView.
Designing alloys for extreme environments demands fast, trustworthy prediction. This review charts how machine learning—especially machine‐learned interatomic potentials and predictive models based on experiment‐informed datasets—captures the complexity of high‐entropy alloys in extreme environments, predicts phase formation, mechanical properties, and
Amin Esfandiarpour, Sri Tapaswi Nori, Silvia Bonfanti, Mikko Alava, Antoni Wadowski, Wenyi Huo, Łukasz Kurpaska, Michał Pecelerowicz, Jan S. Wróbel   +8 more
wiley   +1 more source

Exposing the role of individual heterogeneity in bighorn sheep population dynamics. [PDF]

Proc Natl Acad Sci U S A
Forsythe AB.
europepmc   +1 more source

Laboratory‐Scale Procedure for Evaluating the Flux Efficiency on Melt Cleanliness and Tensile Properties of Recycled Aluminum Alloys

Advanced Engineering Materials, EarlyView.
A laboratory‐scale procedure is developed to evaluate the efficiency of melt‐cleaning and drossing fluxes during aluminium alloy recycling, studying their effects on melt cleanliness and tensile properties of secondary foundry alloys. This work provides a practical tool for foundries and aluminium refiners to assess the efficiency of salt fluxes in ...
Veronica Milani, Giulio Timelli
wiley   +1 more source

DBH distribution dynamics of even-aged tree populations : in the case of conifers

, 2001
Takashi Kunisaki
openalex   +2 more sources

Population dynamics

Nature Reviews Microbiology, 2016
Megan Bergkessel, David Basta
semanticscholar   +1 more source