Results 131 to 140 of about 192,884 (311)

The Tale of the Residual Tail: Insights From Continuous Intracranial Monitoring From Post‐Hippocampectomy Dynamics

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Subtotal hippocampal resection can leave residual hippocampal tissue, yet the immediate postoperative electrophysiologic evolution of such remnants is unknown. We describe a patient with drug‐resistant temporal lobe epilepsy in whom a hippocampal remnant was continuously monitored using a responsive neurostimulator (RNS) following subtotal ...
Patrick Hartnett, Syeda Amrah Hashmi, Amaan Qureshi, Heather Spader, Shayan Moosa, Ifrah Zawar   +5 more
wiley   +1 more source

The Link between BPR, Evolutionary Delivery and Evolutionary Development

, 1997
In this paper we intend to show how the challenges of managing a Business Process Reengineering (BPR) project are consistent with the ones of a Systems Development project.
Johnson, Leslie, Stergiou, Maria
core  

Use of evolutionary computation techniques for exploration and prediction of helicopter loads

, 2012
The development of accurate load spectra for helicopters is necessary for life cycle management and life extension efforts. This paper explores continued efforts to utilize evolutionary computation (EC) methods and machine learning techniques to estimate
Julio J. Valdes, Catherine Cheung, Li, Matthew, Matthew Li, Valdes, Julio J., Cheung, Catherine   +5 more
core   +1 more source

T1 Over Squared Proton Density Ratio to Characterize Multiple Sclerosis Lesions

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Differentiating remyelinated from demyelinated lesions in MS remains challenging without histological confirmation. This study introduces the T1‐to‐PD2 ratio (TPR) imaging approach and evaluates its ability to characterize MS lesions alongside other quantitative MRI (qMRI) metrics. Methods Thirty individuals with MS (mean age: 47.5 ± 
Sarah J. Wright, Scotty G. McKay, Jean Ramos Bou, Fen Bao, Vivian B. Truong, Chenyang Li, Li Jiang, Anza B. Memon, E. Mark Haacke, Yulin Ge, Yongsheng Chen   +10 more
wiley   +1 more source

A Novel Magnetic Update Operator for Quantum Evolutionary Algorithms

, 2010
Quantum Evolutionary Algorithms (QEA) are novel algorithms proposed for class of combinatorial optimization problems. The probabilistic representation of possible solutions in QEA helps the q-individuals to represent all the search space simultaneously ...
Tayarani Najaran, Mohammad, Prugel-Bennett, Adam   +1 more
core  

Artificial Intelligence in Systemic Sclerosis: Clinical Applications, Challenges, and Future Directions

Arthritis Care &Research, EarlyView.
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos, José Miguel Sequí‐Sabater, Diego Benavent   +2 more
wiley   +1 more source

Evolutionary dynamic optimization techniques for marine contamination problem

, 2015
Marine pollution is the release of by-products that cause harm to natural marine ecosystems and one of the most important sources is the discharge of oil, ballast water from vessels. If the relevant technology is not available, alternative way to monitor
ALTIN, LOKMAN, TOPCUOĞLU, HALUK RAHMİ
core   +1 more source

Immunosuppressive Drug Use in Limited Systemic Sclerosis: An International Survey

Arthritis Care &Research, EarlyView.
Objective Current guidelines recommend immunosuppressive treatment for diffuse cutaneous systemic sclerosis but are less clear on their use in limited cutaneous systemic sclerosis (lcSSc) in the absence of internal organ complications. We conducted an international survey to understand current immunosuppressive drug prescribing patterns in lcSSc ...
Sabrina Hoa, Yicheng Mu, Marie Hudson, Janet Pope   +3 more
wiley   +1 more source

Evaluating Visualization Techniques for Binary Populations in High-Dimensional Evolutionary Search

IEEE Access
The effectiveness of Interactive Evolutionary Computation (IEC) relies fundamentally on the synergy between algorithmic power and human intuition. However, for hard combinatorial problems encoded as high-dimensional binary vectors, such as the Maximum ...
Thiago Sylas Antunes Da Costa, Nata Ferreira Lobato, Bianchi Serique Meiguins, Carlos Gustavo Resque Dos Santos   +3 more
doaj   +1 more source

Evolutionary Computing for Operating Point Analysis of Nonlinear Circuits

, 2000
The DC operating point of an electronic circuit is conventionally found using the Newton-Raphson method. This method is not globally convergent and can only find one solution of the circuit at a time.
Crutchley, D., Zwolinski, M., Yang, Z.R.
core