Results 201 to 210 of about 20,451 (264)

Biosurfactant production by Pseudomonas aeruginosa isolated from mining waste: From genomic analysis to development of a polymeric composite for removal of hexavalent chromium

open access: yesPolymer International, EarlyView.
Biosurfactant was produced by Pseudomonas aeruginosa using andiroba waste from Amazonia. A biosurfactant–alginate composite (Alg/BioS) was successfully synthesized via ionotropic gelation, and achieved up to 70% Cr6+ removal from water. Abstract Environmental contamination by heavy metals represents a significant challenge due to their persistence in ...
Paulo Diniz Austriaco   +11 more
wiley   +1 more source

Adaptive Policy Switching for Multi-Agent ASVs in Multi-Objective Aquatic Cleaning Environments. [PDF]

open access: yesSensors (Basel)
Seck D   +4 more
europepmc   +1 more source

Chemical diversity and phylogenetic insights into Hawaiian ʻākia (Wikstroemia) species used in traditional fishing practices

open access: yesPLANTS, PEOPLE, PLANET, EarlyView.
Traditional fishing with plant‐based piscicides is a global practice in decline, facing increasing restrictions. We investigated the chemical diversity of endemic Wikstroemia species historically used to stun or poison fish in Hawaiʻi. Using 1‐H‐NMR, principal component analysis, targeted HPLC, and target‐capture sequencing, we characterized compounds ...
Louise Winther   +10 more
wiley   +1 more source

A Sensitivity Analysis Workflow for Power Series Compounded Lifetime Models: Evidence From Weibull Power Series Fits

open access: yesQuality and Reliability Engineering International, EarlyView.
ABSTRACT We propose a practical procedure to quantify the time varying influence of parameters on hazard functions for power series compounded lifetime models. The procedure combines likelihood based fitting with a two stage sensitivity analysis and applies to a range of baselines and compounding laws.
Yuancheng Si, Saralees Nadarajah
wiley   +1 more source

Multi‐Objective Bayesian Co‐Optimization of Parameterized Moving Horizon Estimation and Model Predictive Control

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT This paper proposes a Machine Learning (ML)‐enabled estimator‐controller design framework, in which a parameterized Model Predictive Controller (MPC) and a parameterized Moving Horizon Estimator (MHE) are jointly refined using Bayesian Optimization (BO).
Hossein Nejatbakhsh Esfahani   +1 more
wiley   +1 more source

Effectiveness Assessment of Underwater Area Cruise Based on the ADC Method

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Underwater area surveillance plays a crucial role in upholding national security, safeguarding strategic interests, and mitigating potential threats. Despite its significance, a notable gap persists in the availability of comprehensive models for assessing its effectiveness.
Qingwei Liang   +3 more
wiley   +1 more source

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