Results 111 to 120 of about 109,203 (278)

Effects of cutback squealer tips on the vortices and local loss in the tip region of axial turbine rotor

Propulsion and Energy
Tip leakage loss is a significant source of aerodynamic loss in the turbine rotor and can be controlled by using a cavity tip. In this paper, three configurations with cutback rims are numerically investigated to control the formation and development of ...
Weihao Zhang, Yufan Wang, Kailai Chen, Dongming Huang   +3 more
doaj   +1 more source

OPEN UPV: Centro de ponencias UPV

, 2017
[ES] El presente TFM aborda la integración de espacios vinculados a la UPV en el centro histórico de la ciudad de Valencia, así como la adecuación urbanística de una serie de solares concatenados que en la actualidad se presentan como espacios perdidos de la ciudad.
openaire   +2 more sources

Beta Human Papillomaviruses Seropositivity and the Association With Cutaneous Squamous Cell Carcinoma—A Systematic Review and Meta‐Analysis

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Cutaneous squamous cell carcinoma (cSCC) is one of the most common nonmelanoma skin cancers, with increasing incidence globally. Beta genus human papillomaviruses (β‐HPVs), particularly in immunocompromised individuals, have been implicated in the development of cSCC. However, the strength of association between β‐HPV seropositivity
Shweh Fern Loo, Ci Zhuang Teh, Wanni Chia, Choon Chiat Oh   +3 more
wiley   +1 more source

Application of Principal Component Analysis and Probabilistic Neural Networks in Ferralsols Recovery Evaluation Through Planting of Mabea Fistulifera and Eucalyptus Urograndis

Land Degradation &Development, EarlyView.
ABSTRACT This study presents an innovative assessment model for analyzing the evolution of degraded soils subjected to different reclamation strategies. The proposal combines statistical and artificial intelligence tools to jointly integrate multiple physical and chemical soil properties, allowing for a more synthetic view of the processes.
Melissa Alexandre Santos, Borja Velázquez‐Martí, Jorge João Delfim, Laura Silva Nantes, Jose Augusto Liberato de Souza, Gabriel Augusto da Silva Lunardelli, Dayara Vivian Alvares, Carolina dos Santos Batista Bonini   +7 more
wiley   +1 more source

Artificial neural networks-based ultrasonic pulse velocity prediction model for concrete structures

Cogent Engineering
Accurately predicting the Ultrasonic Pulse Velocity (UPV) in concrete is important invarious fields, including construction, engineering and non-destructive testing.
Mohamad Kharseh, Fayez Moutassem, Kadhim Alamara, Israa Awad   +3 more
doaj   +1 more source

Machine Learning‐Driven Predictive Modeling and Multi‐Objective Exploration of Oxaliplatin‐Loaded Nanocarriers for Enhanced Loading and Encapsulation Efficiency

Materials Genome Engineering Advances, EarlyView.
Integrating ML and multi‐objective optimization enabled efficient, accurate design of nanocarriers with optimized loading and encapsulation efficiencies. ABSTRACT Oxaliplatin (OXA), a critical third‐generation platinum chemotherapeutic, is significantly limited by suboptimal loading capacity and encapsulation efficiency in nanoparticle‐based delivery ...
Abbas Rahdar, Maryam Shirzad, Sonia Fathi‐Karkan, M. Ali Aboudzadeh   +3 more
wiley   +1 more source

Self-healing of Micro-cracks in Engineered Cementitious Composites

Civil Engineering Dimension, 2015
The performance of an Engineered Cementitious Composite (ECC) to self-heal micro-cracks under a controlled laboratory environment is presented. Ten dog-bone shaped samples were prepared; five of them were preloaded to known strains and then left to heal
Suryanto B., Wilson S.A., McCarter W.J.
doaj  

- AN EVOLUTIONARY MODEL OF BERTRAND OLIGOPOLY [PDF]

We analyze the long-run outcome of markets in which boundedly rational firms with a decreasingreturns to scale technology compete in prices. The behavior of these firms is based on limitation ofsuccess and experimentation. In this framework, we introduce
Ana B. Ania, Carlos Alós-Ferrer, Klaus R. Schenk-Hoppé   +2 more
core  

Exploring the Strengths and Limitations of Polymer Chemistry Informed Neural Networks

Macromolecular Reaction Engineering, EarlyView.
PCINNs are able to reach high levels of predictive performance utilizing imperfect kinetic models and a relatively small dataset, with reliable extrapolation at reaction temperatures significantly beyond the range of the original dataset. ABSTRACT Kinetic models are essential tools for providing a fundamental understanding of polymerization processes ...
Shaghayegh Hamzehlou, Nicholas Ballard, José M. Asua   +2 more
wiley   +1 more source

Predicting resilient modulus: A data driven approach integrating physical and numerical techniques

Heliyon
Resilient modulus (MR) is an important parameter in the design of pavement that helps to characterize the quality of sub-grade materials. Generally, it is not determined experimentally due to time consuming, uneconomical, laborious and lack of advanced ...
Kashif Riaz, Naveed Ahmad
doaj   +1 more source