Results 31 to 40 of about 388,588 (308)

Influence of corrosion rate on rust penetration in concrete

Shenzhen Daxue xuebao. Ligong ban, 2023
Rust penetration in pore structure of concrete cover happens after the reinforcement corrosion, which impedes the cracking development. To improve the accuracy of deducing the corrosion level of reinforcement from the crack width, reinforcements are ...
HONG Shuxian, ZHENG Fan, XING Feng, DONG Biqin   +3 more
doaj   +1 more source

Prediction of penetration rate in drilling operations: a comparative study of three neural network forecast methods

Journal of Petroleum Exploration and Production, 2021
Optimizing purposes of the drilling process include reduction in time, saving costs, and increasing efficiency, which requires optimization of controllable variables and variables affecting the drilling process.
Ehsan Brenjkar, Ebrahim Biniaz Delijani, Kasra Karroubi   +2 more
semanticscholar   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Analysis and research on the constant-rate penetration mechanism of the seabed cone penetration test system

Frontiers in Mechanical Engineering, 2023
The seabed Cone Penetration Test (CPT) system is a common method for investigating offshore soil. This paper focuses on a new subsea CPT method for assessing physical and mechanical properties of marine sediments. The new method enables automatic docking
Ziqiang Ren, Ziqiang Ren, Jiawang Chen, Jiawang Chen, Jin Guo, Jin Guo, Bijin Liu, Xiaohui Hu, Xiaohui Hu, Hang Zhou, Hang Zhou, Houhong Liu, Feng Gao, Feng Gao   +13 more
doaj   +1 more source

Prevalence of 21 Physician‐Defined Severe Toxicities Following Childhood Acute Lymphoblastic Leukemia Treatment: Australian Retrospective Cohort Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier, Brittany Grantham, Camilla Grud Nielsen, Louise Lundgren, Liv Andrés‐Jensen, Kjeld Schmiegelow, Chris Selman, Gareth Ball, Elyse Passmore, David A. Elliott, Rachel Conyers   +10 more
wiley   +1 more source

Rational Use of Herbal Products in Pediatric Patients Treated With Anticancer Drugs in the European Union

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction The use of herbal medical preparation (HMP) is rising among pediatric oncology patients, often to manage treatment‐related symptoms. Their effectiveness remains uncertain, and the risk of herb–drug interactions is underestimated.
Orianne Mahot, Mathieu Corvaisier, Laurence Spiesser‐Robelet, Mylène Duplan, Isabelle Pellier, Delphine Bourneau‐Martin, Séverine Derbré   +6 more
wiley   +1 more source

Cuttings Carrying Behavior of Coring Tools Based on Fluent⁃EDEM Coupling Model

Shiyou jixie
To improve cuttings carrying efficiency in coring operation of ultra⁃deep wells， the cuttings carrying performance of coring tools under complex conditions was studied.
Yang Liuqing, Liu Bin, Liu Bin
doaj   +3 more sources

Exploration of Training Strategies for a Quantile Regression Deep Neural Network for the Prediction of the Rate of Penetration in a Multi-Lateral Well

Energies
In recent years, rate of penetration (ROP) prediction using machine learning has attracted considerable interest. However, few studies have addressed ROP prediction uncertainty and its relation to training data and model inputs.
Adrian Ambrus, Felix James Pacis, Sergey Alyaev, Rasool Khosravanian, Tron Golder Kristiansen   +4 more
doaj   +1 more source

A Note on Predicting Rate of Penetration Using Machine Learning Models [PDF]

JES: Journal of Engineering Sciences
Rate of Penetration (ROP) is a critical parameter influencing drilling efficiency and accelerating field development. Although conventional ROP models (e.g., Bourgoyne, Hareland) provided reasonable results, they often struggle with limited accuracy and ...
Ahmad Husseiny, Attia Attia, Ahmed Hagag
doaj   +1 more source

Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall, Emma N. Harrison, Genevieve C. Kendall   +2 more
wiley   +1 more source