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Book
Therapeutic Targeting of Cancer Stem-Like Cells (CSC) – The Current State of the Art
Authors: ---
Year: 2020 Publisher: Frontiers Media SA

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Abstract

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact


Book
Therapeutic Targeting of Cancer Stem-Like Cells (CSC) – The Current State of the Art
Authors: ---
Year: 2020 Publisher: Frontiers Media SA

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Abstract

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact


Book
Therapeutic Targeting of Cancer Stem-Like Cells (CSC) – The Current State of the Art
Authors: ---
Year: 2020 Publisher: Frontiers Media SA

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Abstract

This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact


Book
1986 ACM fourteenth annual computer science conference : February 4-6, 1986, Cincinnati convention center, Cincinnati, Ohio
Authors: ---
ISBN: 0897911776 9780897911771 Year: 1986 Publisher: New York (N.Y.): Association for computing machinery

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1987 ACM fifteenth Annual computer science conference : Februari 17-19, 1987, Adam's Mark hotel, Clarion hotel, St. Louis, Missouri
Authors: ---
ISBN: 0897912187 9780897912181 Year: 1987 Publisher: New York (N.Y.): Association for computing machinery

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Book
New Prognostic and Predictive Markers in Cancer Progression
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.


Book
New Prognostic and Predictive Markers in Cancer Progression
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.


Book
New Prognostic and Predictive Markers in Cancer Progression
Authors: ---
Year: 2021 Publisher: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute

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Abstract

Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.


Book
Power Electronics and Power Quality
Author:
ISBN: 3039283596 3039283588 Year: 2020 Publisher: MDPI - Multidisciplinary Digital Publishing Institute

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Power quality (PQ) is receiving more and more attention from consumers, distribution system operators, transmission system operators, and other entities related to electrical power systems. As PQ problems have direct implications for business productivity, causing high economic losses, the research and development monitoring technologies and power electronics solutions that ensure the PQ of the power systems are matters of utmost importance. This book is a collection of high quality papers published in the “Power Electronics and Power Quality” Special Issue of the journal Energies. It reflects on the latest investigations and the new trends in this field.

Keywords

p-q theory --- Pulse Width Modulation (PWM) --- power system protection --- modeling --- comtrade --- space vector modulation (SVM) --- propulsion inverter control system position estimator --- frequency adaption --- wavelet transform --- Simulink --- SGDFT --- indirect matrix converter (IMC) --- hysteresis current control --- switching transients --- input power factor --- high speed maglev --- harmonics --- optimization --- robust control --- protection relay --- variation in voltage --- FBMMC --- MMC --- microinverter --- digital control --- state-space model --- four-leg inverter --- phase-leading capacitor --- histogram --- pulse width modulation --- energy shaping passivity (ESP)-based control --- time multiplier setting (TMS) --- reactive power --- continuous particle swarm optimization (CPSO) --- power control --- microgrid (MG) --- passive method --- Matlab --- voltage control --- switching frequency --- Field Programmable Gate Array (FPGA) --- Omicron CMC 256plus --- distance protection --- low voltage direct-current residential microgrid --- Full-bridge --- series active filter --- static var compensator --- photovoltaic systems --- Total Harmonic Distortion (THD) --- long-stator synchronous motor --- SC --- constant power load --- CSC --- superconducting magnetic energy storage (SMES) --- hybrid power filter --- renewable power generation --- Lagrange-interpolation method --- multilevel converter --- multi-grounded neutral (MGN) system --- temperature --- computer simulation --- thyristor-controlled reactor --- hybrid static var compensator --- static synchronous compensator --- power semiconductor device --- DC short-circuit handling --- cost-effectiveness --- current control --- half-bridge inverters --- Hybrid HVDC --- power inverter --- input filter --- machine learning --- enerlyzer --- matrix converter (MC) --- DC-DC converter --- Shunt Active Power Filter --- neutral integrity detection --- overcurrent relay coordination (OCR) --- power quality --- event detection --- voltage source inverter --- Multiterminal HVDC --- distorted grid conditions --- hybrid active filter --- primary neutral integrity

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