Results 11 to 20 of about 128,608 (313)

Remote sensing and kriging with external drift to improve sparse proximal soil sensing data and define management zones in precision agriculture. [PDF]

open access: yes, 2023
The precision agriculture scientific field employs increasingly innovative techniques to optimize inputs, maximize profitability, and reduce environmental impacts.
CEDDIA, M. B.   +19 more
core   +1 more source

Precision and Variability in Bacterial Temperature Sensing [PDF]

open access: yesBiophysical Journal, 2015
In Escherichia coli, the ratio of the two most abundant chemoreceptors, Tar/Tsr, has become the focus of much attention in bacterial taxis studies. This ratio has been shown to change under various growth conditions and to determine the response of the bacteria to the environment.
Yoney, Anna, Salman, Hanna
openaire   +2 more sources

Initiating revolutions for optical manipulation: the origins and applications of rotational dynamics of trapped particles

open access: yesAdvances in Physics: X, 2021
The fastest-spinning man-made object is a tiny dumbbell rotating at 5 GHz. The smallest wind-up motor is constructed from a DNA molecule. Picoliter volumes of fluids are remotely controlled and their viscosity precisely measured using microrheometers ...
Graham D. Bruce   +2 more
doaj   +1 more source

All Fiber Mach–Zehnder Interferometer Based on Intracavity Micro-Waveguide for a Magnetic Field Sensor

open access: yesApplied Sciences, 2021
A magnetic fluid (MF)-based magnetic field sensor with a filling-splicing fiber structure is proposed. The sensor realizes Mach–Zehnder interference by an optical fiber cascade structure consisting of single mode fiber (SMF), multimode fiber (MMF), and ...
Maoqing Chen, Qifeng Liu, Yong Zhao
doaj   +1 more source

Cavity optomechanical sensing

open access: yesNanophotonics, 2021
Cavity optomechanical systems enable interactions between light and mechanical resonators, providing a platform both for fundamental physics of macroscopic quantum systems and for practical applications of precision sensing.
Li Bei-Bei   +3 more
doaj   +1 more source

Fast object detection based on binary deep convolution neural networks

open access: yesCAAI Transactions on Intelligence Technology, 2018
In this study, a fast object detection algorithm based on binary deep convolution neural networks (CNNs) is proposed. Convolution kernels of different sizes are used to predict classes and bounding boxes of multi-scale objects directly in the last ...
Siyang Sun   +6 more
doaj   +1 more source

Precision of Flow Sensing by Self-Communicating Cells

open access: yesPhysical Review Letters, 2020
Metastatic cancer cells detect the direction of lymphatic flow by self-communication: they secrete and detect a chemical which, due to the flow, returns to the cell surface anisotropically. The secretion rate is low, meaning detection noise may play an important role, but the sensory precision of this mechanism has not been explored. Here we derive the
Sean Fancher   +3 more
openaire   +4 more sources

Designing a Microfluidic Chip Driven by Carbon Dioxide for Separation and Detection of Particulate Matter

open access: yesMicromachines, 2023
Atmospheric particulate pollution poses a great danger to the environment and human health, and there is a strong need to develop equipment for collecting and separating particulate matter of different particle sizes to study the effects of particulate ...
Ruofei Wang   +3 more
doaj   +1 more source

Computational Fluid Dynamics Study of the Effects of Temperature and Geometry Parameters on a Virtual Impactor

open access: yesMicromachines, 2022
The virtual impactor, as an atmospheric particle classification chip, provides scientific guidance for identifying the characteristics of particle composition. Most of the studies related to virtual impactors focus on their size structure design, and the
Ruofei Wang   +3 more
doaj   +1 more source

The Duality of Ray-Based and Pinhole-Camera Modeling and 3D Measurement Improvements Using the Ray-Based Model

open access: yesSensors, 2022
Geometrical camera modeling is the precondition for 3D-reconstruction tasks using photogrammetric sensor systems. The purpose of this study is to describe an approach for possible accuracy improvements by using the ray-based-camera model.
Christian Bräuer-Burchardt   +3 more
doaj   +1 more source

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