Results 1 to 10 of about 118,489,445 (288)

Sampling-Based Path Planning Algorithm for a Plug & Produce Environment

open access: yesApplied Sciences, 2023
The purpose of this article is to investigate a suitable path planning algorithm for a multi-agent-based Plug & Produce system that can run online during manufacturing. This is needed since in such systems, resources can move around frequently, making it
Sudha Ramasamy   +3 more
doaj   +6 more sources

Analyses of Sampling Disturbance of the Lunar Surface in Direct Push Sampling Method

open access: yesIEEE Access, 2018
The study of direct push sampling characteristics forms the theoretical basis for deep sampling tool design. In this paper, a ground test of the direct push sampling was carried out to analyze three influencing factors: tube diameter; friction ...
Dewei Tang   +4 more
doaj   +3 more sources

A novel method for precise endoscopic sampling of duodenal microbiota [PDF]

open access: yesFrontiers in Cellular and Infection Microbiology
BackgroundPrevious studies have established a relationship between duodenal mucosa-associated microbiota and overall health. However, sampling duodenal microbiota is technically challenging.
Taotao Wei   +3 more
doaj   +2 more sources

Inhaled N‐Acetylcysteine as a Potential Adjunctive Therapy in Mucus Plug‐Forming Asthma With Irpex lacteus Isolation: A Case Report [PDF]

open access: yesRespirology Case Reports
A 68‐year‐old woman was hospitalized for hypoxemia during an asthma exacerbation with cough, highly tenacious sputum and exertional dyspnoea. Chest computed tomography revealed lower lobe–dominant mucus plugs.
Yuka Uchida   +5 more
doaj   +2 more sources

Simulation-Driven Annotation-Free Deep Learning for Automated Detection and Segmentation of Airway Mucus Plugs on Non-Contrast CT Images [PDF]

open access: yesBioengineering
Mucus plugs are airway-obstructing accumulations of inspissated secretions frequently observed in obstructive lung diseases (OLDs), including chronic obstructive pulmonary disease (COPD), severe asthma, and cystic fibrosis.
Lucy Pu   +6 more
doaj   +2 more sources

Automatic Identification Method of Tooth Impaction Based on Deep Learning [PDF]

open access: yesJisuanji gongcheng, 2022
Food impaction is a common oral symptom, which easily causes oral problems, such as local gingival redness, pus overflow, and dental caries, bringing great pain and inconvenience to patients.At present, automatically screening impacted teeth in clinics ...
WANG Zhijiang, QIN Pinle, CHAI Rui, WU Feng, CHENG Yitong, SHI Yue
doaj   +1 more source

Likelihood-Based Finite Sample Inference for Synthetic Data from Pareto Model

open access: yesRevstat Statistical Journal, 2023
Statistical agencies often publish microdata or synthetic data to protect confidentiality of survey respondents. This is more prevalent in case of income data.
Nutan Mishra , Sandip Barui
doaj   +1 more source

A core-based XRF scanning workflow for continuous measurement of mineralogical variations in clastic reservoirs

open access: yesMethodsX, 2022
Clastic reservoir core is routinely characterized using conventional, destructive spot sampling techniques. Whilst spot sampling provides useful textural and compositional information, the samples are typically widely spaced (∼ 25 cm), and hence ...
Arif Hussain, Khalid Al-Ramadan
doaj   +1 more source

Implementing a Precision Pneumatic Plug Tray Seeder with High Seeding Rates for Brassicaceae Seeds via Real-Time Trajectory Tracking Control

open access: yesActuators, 2023
In recent years, the aging of the rural population worldwide has become a major concern, necessitating the development of agricultural automation. Pneumatic energy has emerged as a reliable and environmentally friendly option, aiding in the global effort
Hao-Ting Lin, Yu-Hsien Lee
doaj   +1 more source

Plug-and-Play ADMM for MRI Reconstruction With Convex Nonconvex Sparse Regularization

open access: yesIEEE Access, 2021
Traditional $\ell _{1}$ -regularized compressed sensing magnetic resonance imaging (CS-MRI) model tends to underestimate the fine textures and edges of the MR image, which play important roles in clinical diagnosis.
Jincheng Li   +3 more
doaj   +1 more source

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