Results 61 to 70 of about 560,544 (271)

A Review of Stochastic Optimization Algorithms Applied in Food Engineering

International Journal of Chemical Engineering
Mathematical models that represent food processing operations are characterized by the nonlinearity of their dynamic behavior with possible discrete events, the existence of several variables of interest that are usually distributed in space, and the ...
Laís Koop, Nadia Maria do Valle Ramos, Adrián Bonilla-Petriciolet, Marcos Lúcio Corazza, Fernando Augusto Pedersen Voll   +4 more
doaj   +1 more source

VIVID: A qPCR‐Based Platform for Sensitive and Quantitative In Vivo Tracking of Extracellular Vesicles

Advanced Functional Materials, EarlyView.
This study introduces VIVID (Vesicle In Vivo Identification using DNA), a qPCR‐based platform that tracks PCR‐amplifiable DNA tags loaded in the EVs for accurate and quantifiable EV biodistribution in vivo. ABSTRACT Extracellular vesicles (EVs) represent promising carriers for nucleic acid therapeutics, offering advantages over synthetic nanoparticles ...
Oscar Boyadjian, Talin Ebrahimian, Jonathan Miranda O'Connor, Janusz Rak, Stephanie Lehoux, Maryam Tabrizian   +5 more
wiley   +1 more source

Solving Stochastic Machining Economics Problem Using Simulation Optimization Approach

Journal of King Saud University: Engineering Sciences, 2010
The emerging of simulation and optimization approaches achieves a rapid growth in recent years. In this paper, the new concept of simulation optimization is applied to solve machining economic problem with stochastic tool life for turning operations. The
Abdulrahman M. Al-Ahmari
doaj   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Distributed and Dynamic Resource Management for Wireless Service Delivery to High-Speed Trains

IEEE Access, 2017
With the fast development of high-speed railway (HSR), how to provide high-quality and cost-effective wireless services for HSR users has attracted increasing attention in recent years. A key issue is to design an efficient resource management scheme for
Ningxiao Sun, Yuejin Zhao, Lin Sun, Qiongzhi Wu   +3 more
doaj   +1 more source

Distributed Stochastic Optimization of the Regularized Risk

, 2015
Many machine learning algorithms minimize a regularized risk, and stochastic optimization is widely used for this task. When working with massive data, it is desirable to perform stochastic optimization in parallel.
Matsushima, Shin, Vishwanathan, S. V. N., Yun, Hyokun, Zhang, Xinhua   +3 more
core  

Integration of Low‐Voltage Nanoscale MoS2 Memristors on CMOS Microchips

Advanced Functional Materials, EarlyView.
This article presents the first monolithic integration of nanoscale MoS2‐based memristors into the back‐end‐of‐line of foundry‐fabricated CMOS microchips in a one‐transistor‐one‐resistor (1T1R) architecture. The MoS2‐based 1T1R cells exhibit forming‐free, nonvolatile resistive switching with ultra‐low operating voltages, low cycle‐to‐cycle variability ...
Jimin Lee, Sofía Cruces, Xiaohua Liu, Yang Chen, Vasilis A. Maroufidis, Janghyun Jo, Lukas Völkel, Dennis Braun, Michael Möller, Leon Brackmann, Holger Kalisch, Michael Heuken, Andrei Vescan, Rafal E. Dunin‐Borkowski, Joachim Mayer, Stefan Wiefels, Max C. Lemme   +16 more
wiley   +1 more source

A New Threshold Switching Device With Tunable Negative Differential Resistance Based on ErMnO3 Polymorphs

Advanced Functional Materials, EarlyView.
Polymorph engineering in ErMnO3 enables low‐voltage, forming‐free threshold switching with tunable negative differential resistance. Conducting orthorhombic regions embedded in an insulating hexagonal matrix provide controlled Joule‐heating‐enhanced Poole–Frenkel transport. The hexagonal phase prevents excessive heating and breakdown.
Rong Wu, Florian Maudet, Thanh Luan Phan, Wassim Hamouda, Richard Schroedter, Ahmet Samil Demirkol, Ronald Tetzlaff, Veeresh Deshpande, Catherine Dubourdieu   +8 more
wiley   +1 more source

High‐Resolution and Real‐Time In Situ Generation of Cellular Spheroids by Laser‐Assisted Bioprinting for Guided Microvascularization

Advanced Functional Materials, EarlyView.
Micro‐injection laser‐assisted bioprinting enables ultrafast and precise patterning of small endothelial cell spheroids by injecting a highly concentrated single‐cell suspension into GelMA/ColMA hydrogels. In co‐culture with fibroblasts, controlled pre‐vasculogenic network formation is obtained at microscale resolution.
Charles Handschin, Katharina Wulz, Clotilde Jugie, Marie‐Laure Stachowicz, Shane Fennell, Aurélien Mazet, Malou Lea, Nathalie Dusserre, Jean‐Christophe Fricain, Hugo Oliveira   +9 more
wiley   +1 more source

Gray Wolf Optimization Algorithm for Multi-Constraints Second-Order Stochastic Dominance Portfolio Optimization

Algorithms, 2018
In the field of investment, how to construct a suitable portfolio based on historical data is still an important issue. The second-order stochastic dominant constraint is a branch of the stochastic dominant constraint theory.
Yixuan Ren, Tao Ye, Mengxing Huang, Siling Feng   +3 more
doaj   +1 more source