Results 201 to 210 of about 9,148 (294)
Socioeconomic gaps in the allocation of curriculum modifications in inclusive mainstream classrooms
Abstract Differentiation is a widely established approach to addressing heterogeneity in students' learning needs and prerequisites in inclusive mainstream classrooms. While differentiation has been extensively studied regarding its implementation and effectiveness, aspects of social selectivity in these practices remain underexplored.
Robin Benz +2 more
wiley +1 more source
Abstract This article demonstrates the integration of in‐line mass spectrometry as a process analytical technology (PAT) tool with model‐based soft sensors in a continuous filtration‐drying carousel system for solid–liquid separation (SLS) of crystal slurries.
Inyoung Hur +3 more
wiley +1 more source
On the Meaning of Localization in Non‐Local Quantum Field Theory
In non‐local quantum field theory nature does not necessarily allow objects or events to be localized to exact mathematical points. Instead any physical measurement has a built‐in finite resolution set by the non‐locality scale. Spacetime remains continuous and Lorentz‐covariant, but below this scale pointlike localization becomes an idealization ...
E. J. Thompson
wiley +1 more source
RAAS: Runtime Adaptive Approximation System
ABSTRACT Software‐level approximation techniques, such as loop perforation and functional replacement, can improve energy and performance in error‐tolerant applications, but typically require extensive programmer intervention even when compiler support is available.
Lucas Reis, Sandro Rigo, Lucas Wanner
wiley +1 more source
Transient dynamics and nonlinear fitness: A matrix approach to pulse and press perturbation
Abstract Disturbances can occur as short‐lived pulses (e.g., storms) or sustained presses (e.g., chronic drought). Much work in ecology has developed methods to help predict how natural populations respond to disturbances, but analyses of pulse and press disturbances have been largely disconnected.
Harman Jaggi +5 more
wiley +1 more source
Fuzzy Sliding Mode Control for a Nonlinear System With an Extended State Observer
The block diagram of Fuzzy Sliding Mode Controller (FSMC) with Extended State Observer (ESO) for a nonlinear system. ABSTRACT This paper presents a fuzzy‐based sliding mode controller (SMC) that incorporates an extended state observer (ESO) to achieve accurate trajectory tracking of uncertain nonlinear systems.
Hayleyesus Girma Dirara +2 more
wiley +1 more source
The Rise of Human–Computer Integration in Marketing: A Theory Synthesis
ABSTRACT Human–computer integration (HCInt) technologies, which merge human bodily, cognitive, and sensory functions with computational processes, are reshaping the foundations of consumer experience. Unlike traditional human–computer interaction, HCInt entails adaptive and reciprocal coupling through AI‐driven augmentation, wearables, muscle–computer ...
Carlos Velasco +5 more
wiley +1 more source
Deep Learning Unlocks Behavioral Prediction and Neurobehavioral Decoding
This review evaluates deep learning frameworks that surmount conventional limitations through high‐dimensional nonlinear modeling, spatiotemporal dependency capture, and multimodal information integration. Focusing on biological behavior forecasting and neural mechanism decoding, we delineate cutting‐edge applications, including real‐time action ...
Tianzhe Han +5 more
wiley +1 more source
Quantum Information Measures of a Dirichlet Waveguide with Neumann Window(s)
ABSTRACT Engineering boundary conditions in low‐dimensional structures provides a simple yet powerful way of shaping how quantum information is stored and transported. We investigate a flat 2D Dirichlet waveguide containing one or two finite Neumann windows and compute the bound states in both position and momentum space as functions of the window ...
Firoz Chogle, Berihu Teklu
wiley +1 more source
Wasserstein Regression, Forecasting, and Change‐Point Detection for Daily Traffic Flow Distributions
ABSTRACT We develop a distribution‐valued framework for modeling, forecasting, and monitoring traffic flow counts by treating each day as a probability distribution summarized by jittered empirical quantile signatures. Inference is conducted under the 2‐Wasserstein geometry, which in one dimension is isometric to the L2(0,1)$$ {L}^2\left(0,1\right ...
Abdolnasser Sadeghkhani
wiley +1 more source

