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About 10,000 papers for “model precision”

Isotope precision model

Takriti, Mounir · Zenodo (CERN European Organization for Nuclear Research) · 2020

No description provided.

Cited by 0Open access

BK Precision- Model: 1762

B K Precision Corp. · University of New Hampshire Scholars Repository (University of New Hampshire at Manchester) · 2008

Cited by 0

Model-Informed Precision Dosing

Pérez-Blanco, Jonás Samuel, Martínez Lanao, José · 2023

Model-informed precision dosing (MIPD) is an advanced quantitative approach focusing on individualized treatment optimization. MIPD integrates mathematical models of drugs and diseases combined with individual patient characteristics (e.g., genotype, anthropometric factors, and organ function). MIPD has been highlighted as a useful tool for drug dosage selection in both the drug development process and clinical practice and it is a rapidly growing discipline that is supported by the main drug regulatory agencies. Despite the potential benefits of this methodology toward personalized medicine, its application is still limited. The Special Issue presented here includes several PKPD and PBPK models focused on improving the current state of art regarding the PK behaviour of different drugs with the aim of improving the efficacy/safety balance of these treatments and their clinical outcome; the Special Issue is intended to be of particular interest for clinical pharmacologists, pharmacometricians, and specific clinicians who routinely use the considered drugs.

Cited by 0Open access

Variable-precision model of VWM.

Yi-Jie Zhao (11663148), Tianye Ma (6743093), Li Zhang (8200) et al. · Figshare · 2021

<p><b><i>A</i></b>. Resource decay function. The VP model assumes that the mean resource () for processing a single item declines as a power function of set size <i>N</i>, a trend characterized by two free parameters—initial resources () and decaying exponent (<i>a</i>). <b><i>B</i></b>. The resources across items or trials follow a gamma distribution with the mean resource () determined by the resource decay function (<b><i>A</i></b>) and the resource allocation variability (<i>τ</i>). Larger amounts of resources (<i>J</i>) indicate higher precision and therefore generate narrower von Mises distributions (three small axes indicating the precision equals to 5, 10 and 15 respectively) of stimulus measurement (<i>m</i>). The widths of the von Mises distributions indicate the degree of trial-by-trial sensory uncertainty. <b><i>C</i></b>. The eventual behavioral choice given the internal stimulus measurement (<i>m</i>) is also uncertain, following a von Mises distribution with the choice variability (<i>κ</i><sub><i>r</i></sub>) [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009544#pcbi.1009544.ref049" target="_blank">49</a>]. In the VP model, initial resources (), decaying exponent (<i>a</i>), resource allocation variability (<i>τ</i>) and choice variability (<i>κ</i><sub><i>r</i></sub>) are four free parameters to estimate (see details in SI and van den Berg <i>et al</i>. [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1009544#pcbi.1009544.ref050" target="_blank">50</a>]). All numbers here are only for illustration purposes and not quantitatively related to the model fitting results in this paper. a.u.: arbitrary units.</p>

Cited by 0Open access

Model-checking for precision agriculture

Rim Saddem · 2019

L'agriculture de précision (AP) s'est fortement développée au cours des dernières décennies avec les progrès des technologies de localisation, des capteurs et des techniques de télédétection. Le principe de l'AP est de rechercher et mettre en oeuvre la Bonne action au Bon moment et au Bon endroit ("3B"), avec l'objectif d'améliorer l'efficience de l'agriculture suivant les critères d'une agriculture durable. Nous considérons dans cette thèse l'évaluation de la faisabilité d'opérations agricoles vis à vis de critères relevant de l'AP, en faisant appel à des techniques de modélisation et de vérification formelles.Pour modéliser et vérifier ces opérations, une représentation des dynamiques temporelles et spatiales est nécessaire. Le model-checking de systèmes d'automates temporisés avec des requêtes dans une logique temporelle arborescente répond à ces besoins, les positions spatiales pouvant être représentées de façon ad-hoc dans le cadre de ces formalismes. Trois exemples d'opérations agricoles sont considérés dans ce mémoire. La première est relative au calcul d'une séquence optimale de commandes pour une pulvérisation de précision en viticulture. La seconde concerne la récolte sélective en viticulture. La dernière est relative à la vérification d'une mission de robotique agricole. Nous étudions dans ces exemples l'atteignabilité d'un état cible pour l'opération, ou l'atteignabilité avec un critère de coût optimal.Pour pallier au problème d'explosion combinatoire rencontré dans les cas traités, une méthodologie de décomposition pour le model-checking d'atteignabilité a été développée. Les résultats expérimentaux avec et sans décomposition sont présentés pour les 3 exemples d'opération étudiés. La technique de décomposition est appliquée sur 2 des 3 exemples et les résultats expérimentaux montrent son efficacité.

Cited by 0Open access

Towards Precision Standard Model Calculations

Michael Girard · eScholarship (California Digital Library) · 2018

For many years the consistency of the Standard Model(SM) of particle physics has been unflinching. The structure and content of the Standard Model has remained whole in the face of shockingly many experimental tests. Predicting the existence of new particles and yielding incredibly accurate calculations of fundamental measurements have been the hallmark of the Standard Model. Currently, experimentalists are testing several Standard Model quantities to such precision that 5th order terms are needed in theoretical calculations to match this precision. Never-the-less, the predictions of the Standard Model have kept pace with experiment and have yet to be contradicted. Unfortunately, this incredible stretch of experimental validation comes at a cost. Several very large problems still are without solutions and finding them in the particle content of the Standard Model alone is unlikely. The huge range of scales seen in nature, a dark matter candidate, and the cosmic baryon asymmetry still loom as major flaws in the Standard Model. In this manuscript we aim to increase the accuracy of several Standard Model predictions to push the experimental limits of the Standard Model. We start with a brief introduction to the Standard Model and its sector we will be mainly concerned with, namely QCD. In Chapter 2, we will consider the Standard Model as an effective field theory for a new physics model that resides at a mass scale much higher than the electro-weak scale. By interpreting the SM as an effective theory it allows us to extend the Standard Model Lagrangian with new, higher-dimensional operators that depend on the scale of new physics. We then calculate the next-to-leading order corrections to these operators in QCD and combine these calculations with parton showers via the \\texttt{POWHEG} method. In the final section of Chapter 2 we present a discussion of the bounds on the scale of new physics that can be drawn from comparing our results to Large-Hadron-Collider(LHC) searches. In the third chapter of this manuscript, we will briefly introduce the importance of W+charm events at the LHC followed by a discussion of NLO QCD calculations and heavy meson fragmentation resummation. Next, we give a general method for combining a fixed order, massive calculation with a massless calculation with large logarithms resummed. Numerical results of resummation and an implementation of the afore mention method are discussed followed by future outlook.

Cited by 0Open access

YOLOv11 model Precision-Recall Curve.

Zishuo Wang (6790781), Tao Ding (129078), Shuning Liang (21688479) et al. · Figshare · 2025

<div> The rapid development of modern industry has significantly raised the demand for workpieces. To ensure the quality of workpieces, workpiece surface defect detection has become an indispensable part of industrial production. Most workpiece surface defect detection technologies rely on cloud computing. However, transmitting large volumes of data via wireless networks places substantial computational burdens on cloud servers, significantly reducing defect detection speed. Therefore, to enable efficient and precise detection, this paper proposes a workpiece surface defect detection method based on YOLOv11 and edge computing. First, the NEU-DET dataset was expanded using random flipping, cropping, and the self-attention generative adversarial network (SA-GAN). Then, the accuracy indicators of the YOLOv7–YOLOv11 models were compared on NEU-DET and validated on the Tianchi aluminium profile surface defect dataset. Finally, the cloud-based YOLOv11 model, which achieved the highest accuracy, was converted to the edge-based YOLOv11-RKNN model and deployed on the RK3568 edge device to improve the detection speed. Results indicate that YOLOv11 with SA-GAN achieved mAP@0.5 improvements of 7.7%, 3.1%, 5.9%, and 7.0% over YOLOv7, YOLOv8, YOLOv9, and YOLOv10, respectively, on the NEU-DET dataset. Moreover, YOLOv11 with SA-GAN achieved an 87.0% mAP@0.5 on the Tianchi aluminium profile surface defect dataset, outperforming the other models again. This verifies the generalisability of the YOLOv11 model. Additionally, quantising and deploying YOLOv11 on the edge device reduced its size from 10,156 kB to 4,194 kB and reduced its single-image detection time from 52.1ms to 33.6ms, which represents a significant efficiency enhancement. </div>

Cited by 0Open access

Comparison of model precision experiments.

Mingzhu Tang (3923792), Wencheng Wang (5978525) · Figshare · 2025

<div> Aiming at the current problems in the field of industrial defect segmentation, such as difficulty of obtaining a large number of defect samples, low recognition accuracy and lack of segmentation accuracy, a surface defect segmentation model for aluminum based on feature differentiation is proposed: FDTransUnet. First, the limited defective samples are effectively expanded by the feature differentiation data augmentation strategy to alleviate the overfitting problem caused by the insufficient sample. Second, the Transformer architecture is added by improving the U-net network, and the improved network combines the global self-attention mechanism of the Transformer and the hierarchical structure of the U-net, which can effectively extract the local and global information in the defect sample. Finally, a composite loss function is constructed to address the problem of unbalanced foreground and background sizes of defective samples and to improve segmentation accuracy. The experimental results show that FDTransUnet achieves 94.5% MPA and 89.7% Dice coefficient on the aluminum surface defect dataset. In the final generalization experiment, FDTransUnet is validated with other mainstream segmentation models on the steel surface defect dataset, and the experiment proves that the segmentation model has good generalization performance and robustness, and can be applied to different scenarios of industrial inspection. </div>

Cited by 0Open access

A Model for Assay Precision

Douglas M. Hawkins · Statistics in Biopharmaceutical Research · 2014

Instructions for use of clinical chemical assays and other instruments commonly include figures for the precision at different levels of the measurand. Frequently neither the variance nor the coefficient of variation (CV) of the measure is constant across the range of measurand values, making such tables difficult to summarize or use. A more flexible variance model fills in the gap between the constant variance and constant CV models, leading to compact summaries of these precision tables and allowing interpolation to levels not included in the study. Likelihood ratio tests show when the more flexible model is needed.

Cited by 2

Precision feedback: A conceptual model

Zach Landis‐Lewis, Allison M. Janda, Hana Chung et al. · Learning Health Systems · 2024

We propose a model of precision feedback that is aligned with leading theories of feedback interventions to support learning about the success of feedback interventions. We plan to evaluate this model in a randomized controlled trial of a precision feedback system that enhances feedback emails to anesthesia providers.

Cited by 3Open access

Tutorial on model selection and validation of model input into precision dosing software for model‐informed precision dosing

Zachary L. Taylor, Ethan A. Poweleit, Kelli Paice et al. · CPT Pharmacometrics & Systems Pharmacology · 2023

There has been rising interest in using model-informed precision dosing to provide personalized medicine to patients at the bedside. This methodology utilizes population pharmacokinetic models, measured drug concentrations from individual patients, pharmacodynamic biomarkers, and Bayesian estimation to estimate pharmacokinetic parameters and predict concentration-time profiles in individual patients. Using these individualized parameter estimates and simulated drug exposure, dosing recommendations can be generated to maximize target attainment to improve beneficial effect and minimize toxicity. However, the accuracy of the output from this evaluation is highly dependent on the population pharmacokinetic model selected. This tutorial provides a comprehensive approach to evaluating, selecting, and validating a model for input and implementation into a model-informed precision dosing program. A step-by-step outline to validate successful implementation into a precision dosing tool is described using the clinical software platforms Edsim++ and MwPharm++ as examples.

Cited by 30Open access

Precision Standard Model Tests with Kaons

R. Wanke · ArXiv.org · 2008

In kaon physics, several new precision measurements on flavour variables and CP violation have performed in the recent years. Presented are a new precise determination of the CKM parameter |V_us|, which combines the results of all experiments together with recent theoretical progress, and new measurements of the ratio R_K = Gamma(K+ -&gt; e+ nu)/Gamma(K+ -&gt; mu+ nu), which is sensitive to contributions of a possible charged Higgs in the SUSY framework. Also, final results of a precision search for direct CP violation in charged kaon decays are presented.

Cited by 1Open access