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High technology, often abbreviated to high tech is technology that is at the cutting edge: the most advanced technology available.Products currently considered high tech are often those that incorporate advanced computer electronics. However, there is no specific class of technology that is high tech—the definition shifts over time—so products hyped as high-tech in the past may now be considered to have everyday or dated technology.The opposite of high tech is low tech, referring to simple, often traditional or pre-mechanical, technology; for example, an abacus is a low-tech calculating device. Wikipedia.


Si X.-S.,HIGH-TECH
IEEE Transactions on Industrial Electronics | Year: 2015

Remaining useful life (RUL) estimation via degradation modeling is considered as one of the most central components in prognostics and health management. Current RUL estimation studies mainly focus on linear stochastic models, and the results under nonlinear models are relatively limited in literature. Even in nonlinear degradation modeling, the estimated RUL is aimed at a population of systems of the same type or depend only on the current degradation observation. In this paper, an adaptive and nonlinear prognostic model is presented to estimate RUL using a system's history of the observed data to date. Specifically, a general nonlinear stochastic process with a time-dependent drift coefficient is first adopted to characterize the dynamics and nonlinearity of the degradation process. In order to render the RUL estimation depending on the degradation history to date, a state-space model is constructed, and Kalman filtering is applied to update one key parameter in the drifting function through treating this parameter as an unobserved state variable. To update the hidden state and other parameters in the state-space model simultaneously and recursively, the expectation maximization algorithm is used in conjunction with Kalman smoother to achieve this aim. The probability density function of the estimated RUL is derived with an explicit form, and some commonly used results under linear models turn out to be its special cases. Finally, the implementation of the presented approach is illustrated by numerical simulations, and an application for estimating the RUL of lithium-ion batteries is used to demonstrate the superiority of the method. © 2014 IEEE.


The classical pluripotency factors Oct4, Klf4, Sox2, and Nanog are required for the maintenance of pluripotency and self-renewal of embryonic stem (ES) cells and can reprogram terminally differentiated cells into a pluripotent state. Alteration in the levels of these factors in ES cells will cause differentiation into different lineages, suggesting that they are critical determinants of cell fates. These factors show dynamic expression patterns during embryogenesis, in particular in the pluripotent or multipotent cells of an early stage embryo, implying that they are involved in the cell fate decision during early embryonic development. Functions and the underlying molecular mechanisms have been extensively studied for these factors in ES cells under cultured conditions. However, this does not mean that the results also hold true for intact embryos. In the review, I have summarized and discussed the findings on the functions and the underlying mechanisms of the classical pluripotency factors during early embryogenesis, in particular during germ layer formation. © 2013 Cao; licensee BioMed Central Ltd.


Rodriguez S.R.K.,HIGH-TECH | Gomez Rivas J.,TU Eindhoven
Optics Express | Year: 2013

We demonstrate the strong coupling of surface lattice resonances (SLRs) - hybridized plasmonic/photonic modes in metallic nanoparticle arrays - to excitons in Rhodamine 6G molecules. We investigate experimentally angle-dependent extinction spectra of silver nanorod arrays with different lattice constants, with and without the Rhodamine 6G molecules. The properties of the coupled modes are elucidated with simple Hamiltonian models. At low momenta, plasmon-exciton-polaritons - the mixed SLR/exciton states - behave as free-quasiparticles with an effective mass, lifetime, and composition tunable via the periodicity of the array. The results are relevant for the design of plasmonic systems aimed at reaching the quantum degeneracy threshold, wherein a single quantum state becomes macroscopically populated. © 2013 Optical Society of America.


Van De Stolpe A.,HIGH-TECH | Den Toonder J.,TU Eindhoven
Lab on a Chip - Miniaturisation for Chemistry and Biology | Year: 2013

The concept of "Organs-on-Chips" has recently evolved and has been described as 3D (mini-) organs or tissues consisting of multiple and different cell types interacting with each other under closely controlled conditions, grown in a microfluidic chip, and mimicking the complex structures and cellular interactions in and between different cell types and organs in vivo, enabling the real time monitoring of cellular processes. In combination with the emerging iPSC (induced pluripotent stem cell) field this development offers unprecedented opportunities to develop human in vitro models for healthy and diseased organ tissues, enabling the investigation of fundamental mechanisms in disease development, drug toxicity screening, drug target discovery and drug development, and the replacement of animal testing. Capturing the genetic background of the iPSC donor in the organ or disease model carries the promise to move towards "in vitro clinical trials", reducing costs for drug development and furthering the concept of personalized medicine and companion diagnostics. During the Lorentz workshop (Leiden, September 2012) an international multidisciplinary group of experts discussed the current state of the art, available and emerging technologies, applications and how to proceed in the field. Organ-on-a-chip platform technologies are expected to revolutionize cell biology in general and drug development in particular. © The Royal Society of Chemistry 2013.


Romero I.,HIGH-TECH
Computing in Cardiology | Year: 2010

PCA can be used for cleaning noisy ECGs. With this aim, ECG with artificial motion artifacts were generated by combining clean 8-channel ECG with noise signals. 8- channel PCA was applied and then inverted after selecting a subset of principal components (PC). Input and output of PCA filtering was compared by calculating the correlation coefficient and estimating the SNR. Above 0dB, the PC corresponding to highest variance gave best performance, below 0dB the best PC was the second highest or lower variance. When SNR decreased, PCA performed better when retaining more number of PCs (3 PCs for a SNR=10dB down to 6 out of 8 PC for SNR=-10dB). Reducing the number of input ECG channels did not yield to a significant difference when it was reduced from eight down to two. A method for identifying the optimal subset of PC as a function of input SNR and number of channels was proposed. This method achieved an SNR improvement of 0.95dB-1.92dB.

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