Results 171 to 180 of about 3,788,182 (279)

Intercropping with legumes can reduce insect pest pressure but does not increase yield in winter oilseed rape (Brassica napus L.)

open access: yesPest Management Science, EarlyView.
Intercropping winter oilseed rape with spring faba bean reduced cabbage stem flea beetle and pollen beetle damage but also reduced crop yield. Sowing the intercrop simultaneously with winter oilseed rape was essential to maximize crop protection against cabbage stem flea beetles. Abstract BACKGROUND Winter oilseed rape (WOSR, Brassica napus) is a major
Chloé Aline Raderschall   +6 more
wiley   +1 more source

Sonified Signals From a Compact FT‐ICR Instrument: A Feasibility Study. I—Data Mapping to an Equal‐Tempered Chromatic Scale

open access: yesRapid Communications in Mass Spectrometry, EarlyView.
ABSTRACT Rationale Ions trapped within a Penning cell (ICR) travel periodic orbits whose frequencies are dependent on their mass‐to‐charge ratio and the value of the magnetic field passing through the trap. Fourier transformation (FT‐ICR) decomposes the signal induced in the detection circuit by the rotation of the ions in the cell after the ...
Patrick Arpino, Michel Heninger
wiley   +1 more source

Optimal Homogeneous ℒp$$ {\boldsymbol{\mathcal{L}}}_{\boldsymbol{p}} $$‐Gain Controller

open access: yesInternational Journal of Robust and Nonlinear Control, EarlyView.
ABSTRACT Nonlinear ℋ∞$$ {\mathscr{H}}_{\infty } $$‐controllers are designed for arbitrarily weighted, continuous homogeneous systems with a focus on systems affine in the control input. Based on the homogeneous ℒp$$ {\mathcal{L}}_p $$‐norm, the input–output behavior is quantified in terms of the homogeneous ℒp$$ {\mathcal{L}}_p $$‐gain as a ...
Daipeng Zhang   +3 more
wiley   +1 more source

M3RS: Multi‐Robot, Multi‐Objective, and Multi‐Mode Routing and Scheduling

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Task execution quality significantly impacts multi‐robot missions, yet existing task allocation frameworks rarely consider quality of service as a decision variable, despite its importance in applications like robotic disinfection and cleaning. We introduce the multi‐robot, multi‐objective, and multi‐mode routing and scheduling (M3RS) problem,
Ishaan Mehta   +3 more
wiley   +1 more source

Path‐Based Deep Reinforcement Learning for On‐Board Routing in Satellite Constellation Networks

open access: yesInternational Journal of Satellite Communications and Networking, EarlyView.
ABSTRACT Efficient usage of available network resources is a crucial factor for broadband services in interconnected satellite constellations. To meet required quality of service standards under heavy network loads, it is essential to optimize traffic distribution among the intersatellite links. To address this challenge, we propose an adaptive traffic
Manuel M. H. Roth   +4 more
wiley   +1 more source

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