Results 71 to 80 of about 2,695,427 (255)

Model Predictive Control for Magnetically Actuated Cellbots

open access: yesAdvanced Robotics Research, EarlyView.
Magnetically actuated cellbots, formed by embedding microrobots in living cells, are steered along precise paths using a model predictive controller enhanced with a Gaussian process disturbance estimator. The data‐efficient method calibrates each cellbot individually, cutting modeling error by roughly 60% and enabling accurate navigation through cell ...
Mehdi Kermanshah   +8 more
wiley   +1 more source

Robotics in Ionizing Radiation Environments: Vulnerabilities, Hardening, and Future Directions

open access: yesAdvanced Robotics Research, EarlyView.
Radiation exposure causes cumulative degradation in robotic sensors, actuators, and electronic logic, often leading to undetected failures. This study maps component vulnerabilities, evaluates hardening and shielding strategies, and identifies testing gaps that must be addressed to enable next‐generation radiation‐tolerant robotic systems.
Francis A. K. Djirackor   +4 more
wiley   +1 more source

On the critical probability in percolation

open access: yes, 2018
For percolation on finite transitive graphs, Nachmias and Peres suggested a characterization of the critical probability based on the logarithmic derivative of the susceptibility. As a first test-case, we study their suggestion for the Erdos-Renyi random
Janson, Svante,   +5 more
core   +1 more source

Consensus Formation and Change are Enhanced by Neutrality

open access: yesAdvanced Science, EarlyView.
Neutral agents are shown to enhance both the formation and overturning of consensus in collective decision‐making. A general mathematical model and experiments with locusts and humans reveal that neutrality enables robust consensus via simple interactions and accelerates consensus change by reducing effective population size.
Andrei Sontag   +3 more
wiley   +1 more source

Measurement: everywhere and nowhere in secondary mathematics

open access: yes, 2010
School mathematics is commonly structured into number, algebra, geometry and statistics. This raises the issue of where to place ideas within the topic of measurement since some aspects of measurement (such as measuring length or area) have a geometrical
Jones, Keith
core   +1 more source

Risk in science and society: towards new pedagogies of probability bayes rules

open access: yes, 2011
The core ideas of probability are taught in schools and universities in a rather abstract sense, particularly since probability is usually taught as a branch of mathematics and rarely linked to realistic contexts.
Kapadia, Ramesh
core  

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

open access: yesAdvanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair   +4 more
wiley   +1 more source

Elements of Probability and Statistics

open access: yes, 2010
The goal of this course is to introduce students to the basic probability theory and mathematical statistics and help them in establishing a good theoretical background for their future professions.
Yozgatlıgil, Ceylan
core  

Mathematics And Mathematics Education Values In Forming Someone’s Character [PDF]

open access: yes, 2011
The success of someone’ life is not only determined by intellectual aspect, but also other aspects, such as character, emotional, and social aspects. Those three aspects can’t be separated from moral values.
Bambang , Suharjo, Herry Agus , Susanto
core  

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

open access: yesAdvanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray   +3 more
wiley   +1 more source

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