Results 81 to 90 of about 662,614 (319)

A novel quinazolinone insulin receptor inhibitor and its synergy with an EGFR inhibitor in glucose‐driven glioblastoma

open access: yesMolecular Oncology, EarlyView.
The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka   +9 more
wiley   +1 more source

Efficient evolutionary algorithms for optimal control

open access: yes, 2002
If optimal control problems are solved by means of gradient based local search methods, convergence to local solutions is likely. Recently, there has been an increasing interest in the use of global optimisation algorithms to solve optimal control ...
López Cruz, I.L.
core  

Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis

open access: yesMolecular Oncology, EarlyView.
This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht   +3 more
wiley   +1 more source

The Synergy Between Digital Twin, Machine Learning, and Control Technologies in Water Supply Systems: A Critical Literature Review

open access: yesIEEE Access
A Digital Twin is a novel technological paradigm that emulates a real-world system. It is composed of a physical entity, its virtual counterpart (also known as the Digital Model), and communication channels.
Tiago C. Pereira   +2 more
doaj   +1 more source

Optimal sliding mode control of drug delivery in cancerous tumour chemotherapy considering the obesity effects

open access: yesIET Systems Biology, 2018
Different control strategies have been proposed for drug delivery in chemotherapy during recent years. These control algorithms are designed based on dynamic models of various orders.
Pariya Khalili   +2 more
doaj   +1 more source

A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development

open access: yesEnergies, 2017
Electric vehicles (EV), including Battery Electric Vehicle (BEV), Hybrid Electric Vehicle (HEV), Plug-in Hybrid Electric Vehicle (PHEV), Fuel Cell Electric Vehicle (FCEV), are becoming more commonplace in the transportation sector in recent times. As the
Fuad Un-Noor   +4 more
doaj   +1 more source

Patient therapy outcome modeling in cancer organoids is improved by cancer‐associated fibroblasts and organoid assembly convolution

open access: yesMolecular Oncology, EarlyView.
Patient‐derived organoids (PDOs) from pancreatic, colorectal, and gastric cancers were used to evaluate standard and experimental therapies. Incorporating cancer‐associated fibroblasts (CAFs) into organoid cultures improved patient therapy outcome prediction.
Marcin Grochowski   +12 more
wiley   +1 more source

Evaluation by simulation of interpolation and acceleration algorithms for Stepper Motors

open access: yes, 2005
Stepper motors are used to control CNC machines for many applications. As well as following the required path precisely, it is also important that the motion be smooth and that the surface speed be controllable.
Chow, YK   +4 more
core  

Classification of adaptive memetic algorithms: A comparative study

open access: yes, 2006
Adaptation of parameters and operators represents one of the recent most important and promising areas of research in evolutionary computations; it is a form of designing self-configuring algorithms that acclimatize to suit the problem in hand. Here, our
Wong, K.W.   +11 more
core   +1 more source

Sensorless control of PMSM using an adaptively tuned SCKF

open access: yesThe Journal of Engineering, 2019
This study reports the application of an adaptively tuned square-root Cubature Kalman filter (SCKF) for the speed and position estimation of a permanent magnet synchronous motor (PMSM) drive.
Gulur Raghavendra Gopinath   +1 more
doaj   +1 more source

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