STOCHASTIC BEHAVIOR OF TRACE SUBSTANCES.

Arch Environ Health

Published: January 1964

Download full-text PDF

Source
http://dx.doi.org/10.1080/00039896.1964.10663633DOI Listing

Publication Analysis

Top Keywords

stochastic behavior
4
behavior trace
4
trace substances
4
stochastic
1
trace
1
substances
1

Similar Publications

Adolescence is a developmental period of relative volatility, where the individual experiences significant changes to their physical and social environment. The ability to adapt to the volatility of one's surroundings is an important cognitive ability, particularly while foraging, a near-ubiquitous behaviour across the animal kingdom. As adolescents experience more volatility in their surroundings, we predicted that this age group would be more adept than adults at using exploration to adjust to volatility.

View Article and Find Full Text PDF

In a complex dynamical system, noise, feedback, and external forces shape behavior that can range from regularity to high-dimensional chaos. Multiple feedback sources can significantly alter its dynamics, potentially even suppressing the system's output. This study investigates the impact of competing feedback sources on a stochastic complex dynamical system using a photonic neuron-a diode laser with external optical feedback.

View Article and Find Full Text PDF

Modeling suction of unsaturated granular soil treated with biochar in plant microbial fuel cell bioelectricity system.

Sci Rep

January 2025

Departamento de Ciencias de la Construcción, Facultad de Ciencias de la Construcción Ordenamiento Territorial, Universidad Tecnológica Metropolitana, Santiago, Chile.

There is an initiative driven by the carbon-neutrality nature of biochar in recent times, where various countries across Europe and North America have introduced perks to encourage the production of biochar for construction purposes. This objective aligns with the zero greenhouse emission targets set by COP27 for 2050. This research work seeks to assess the effectiveness of biochar in soils with varying grain size distributions in enhancing the soil-water characteristic curve (SWCC).

View Article and Find Full Text PDF

In this paper, the state estimation problem is investigated for a general class of nonlinear networked systems subject to both external disturbances and stochastic deception attacks. In the presence of deception attacks, a novel hybrid stubborn extended state observer (ESO) is established to estimate the states and total disturbances, simultaneously. In addition, the event-triggered mechanism (ETM) is introduced utilizing the estimation errors to relieve the burden of the transmission networks.

View Article and Find Full Text PDF

STIPS algorithm enables tracking labyrinthine patterns and reveals distinct rhythmic dynamics of actin microridges.

Phys Biol

January 2025

Department of Biological Sciences, Tata Institute of Fundamental Research Department of Biological Sciences, Tata Institute of Fundamental Research, Homi Bhabha road, Navy Nagar, Colaba, Mumbai-400005, INDIA, Mumbai, 400005, INDIA.

Tracking and motion analyses of semi-flexible biopolymer networks from time-lapse microscopy images are important tools that enable quantitative measurements to unravel the dynamic and mechanical properties of biopolymers in living tissues, crucial for understanding their organization and function. Biopolymer networks are challenging to track due to continuous stochastic transitions, such as merges and splits, which cause local neighbourhood rearrangements over short time and length scales. To address this, we propose the STIPS algorithm (Spatio Temporal Information on Pixel Subsets) to track these events by creating pixel subsets that link trajectories across frames.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!