Results 21 to 30 of about 133,957 (286)

Predicting the optical observables for nucleon scattering on even-even actinides [PDF]

open access: yes, 2017
Previously derived Lane consistent dispersive coupled-channel optical model for nucleon scattering on $^{232}$Th and $^{238}$U nuclei is extended to describe scattering on even-even actinides with $Z=$90--98. A soft-rotator-model (SRM) description of the
Capote, R.   +4 more
core   +2 more sources

Influence of the matrix of the soil-rock mixture on deformation and failure behaviors of the slope based on material point method

open access: yesFrontiers in Earth Science, 2022
In this paper, the material point method (MPM) is used to explore the influence of matrix (namely soil) in the soil-rock mixture (SRM) on the stability of SRM slope.
Xia Li   +7 more
doaj   +1 more source

A Practical Tool for Family Assessment Based on the Social Relations Model

open access: yesFrontiers in Psychology, 2021
An empirically based family assessment can help family therapists understand how a family functions. In systemic therapy a family is seen as a dynamic system in which the family members form interdependent subsystems.
Tom Loeys   +2 more
doaj   +1 more source

Spatially Selective Artificial-Noise Aided Transmit Optimization for MISO Multi-Eves Secrecy Rate Maximization [PDF]

open access: yes, 2013
Consider an MISO channel overheard by multiple eavesdroppers. Our goal is to design an artificial noise (AN)-aided transmit strategy, such that the achievable secrecy rate is maximized subject to the sum power constraint. AN-aided secure transmission has
Li, Qiang, Ma, Wing-Kin
core   +1 more source

Daily runoff simulation using Eight Day Period of MODIS satellite images and SRM hydrological model (case study: Ravansar Sanjabi basin in kermanshah Province) [PDF]

open access: yesمهندسی منابع آب, 2019
In this paper the daily runoff of Ravansar Sanjabi basin (1260 Km^2), in Kermanshah Province of Iran is simulated through SRM hydrological model. The Snow Cover Area variable which a main and necessary variable in SRM model is calculated from MOD10A2 ...
Seyyed Vahid Shahoei   +4 more
doaj  

High-Throughput Large-Scale Targeted Proteomics Assays for Quantifying Pathway Proteins in Pseudomonas putida KT2440

open access: yesFrontiers in Bioengineering and Biotechnology, 2020
Targeted proteomics is a mass spectrometry-based protein quantification technique with high sensitivity, accuracy, and reproducibility. As a key component in the multi-omics toolbox of systems biology, targeted liquid chromatography-selected reaction ...
Yuqian Gao   +40 more
doaj   +1 more source

Challenges facing quantitative large-scale optical super-resolution, and some simple solutions

open access: yesiScience, 2021
Summary: Optical super-resolution microscopy (SRM) has enabled biologists to visualize cellular structures with near-molecular resolution, giving unprecedented access to details about the amounts, sizes, and spatial distributions of macromolecules in the
Tal M. Dankovich, Silvio O. Rizzoli
doaj   +1 more source

A comparison of data-driven and model-based approaches to quantifying railway risk [PDF]

open access: yes, 2004
This paper presents some of the results of a project sponsored by the UK Railway Safety and Standards Board (RSSB). An earlier statistical evaluation of a previous version of the RSSB Safety Risk Model (SRM), a combined Fault/Event Tree, conducted by ...
Bedford, T.J., French, S., Quigley, J.L.
core   +1 more source

Two-step commutation control of switched reluctance motor based on PWM

open access: yesThe Journal of Engineering, 2019
Aiming at the noise suppression of switched reluctance machine (SRM), the two-step commutation control method is improved. Combining this with pulse width modulation (PWM), the optimisation problem of the switching angle is studied and analysed and given
Chuan Yu   +3 more
doaj   +1 more source

Adaptive SRM neuron based on NbOx memristive device for neuromorphic computing

open access: yesChip, 2022
The spike-response model (SRM) describes the adaptive behaviors of a biological neuron in response to repeated or prolonged stimulation, so that SRM neurons can avoid information overload and support neural networks for competitive learning. In this work,
Jing-Nan Huang   +3 more
doaj   +1 more source

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