scholarly journals Biomedical Vibrational Spectroscopy in the Era of Artificial Intelligence

Molecules ◽  
2021 ◽  
Vol 26 (5) ◽  
pp. 1439
Author(s):  
Henry Horst Mantsch
Keyword(s):  
Artificial Intelligence ◽  
Raman Spectroscopy ◽  
Vibrational Spectroscopy ◽  
Biomedical Applications ◽  
Data Sets ◽  
Special Issue ◽  
New Developments ◽  
The Past ◽  
Infrared And Raman Spectroscopy ◽  
Meaningful Relationships

Biomedical vibrational spectroscopy has come of age. The past twenty years have brought many advancements and new developments and now its practitioners face a new challenge: artificial intelligence. Artificial intelligence has the capability to detect meaningful relationships in data sets such as those found in an infrared or Raman spectrum. The present narrative assesses the degree to which biomedical vibrational spectroscopy has already embraced artificial intelligence and what can be expected going forward. This article belongs to the Special Issue Biomedical Applications of Infrared and Raman Spectroscopy.

Infrared and Raman spectroscopy of automotive paints for forensic identification of natural weathering

2018 ◽  
Vol 10 (10) ◽  
pp. 1203-1212 ◽  
Author(s):  
Andrey Giovanni Gomes de Oliveira ◽  
Ewelina Wiercigroch ◽  
Juliano de Andrade Gomes ◽  
Kamilla Malek
Keyword(s):  
Raman Spectroscopy ◽  
Vibrational Spectroscopy ◽  
Forensic Identification ◽  
Natural Weathering ◽  
Infrared And Raman Spectroscopy ◽  
Full Analysis

A rapid and full analysis of automotive paints affected by natural weathering is proposed by means of vibrational spectroscopy.

scholarly journals Spectral pre and post processing for infrared and Raman spectroscopy of biological tissues and cells

2016 ◽  
Vol 45 (7) ◽  
pp. 1865-1878 ◽  
Author(s):  
Hugh J. Byrne ◽  
Peter Knief ◽  
Mark E. Keating ◽  
Franck Bonnier
Keyword(s):  
Raman Spectroscopy ◽  
Spectral Data ◽  
Biomedical Applications ◽  
Biological Tissues ◽  
Spectral Quality ◽  
Post Processing ◽  
Factors Influencing ◽  
Infrared And Raman Spectroscopy ◽  
Processing Steps

This review presents the current understanding of the factors influencing the quality of spectra recorded and the pre-processing steps commonly employed to improve on spectral quality, as well as some of the most common techniques for classification and analysis of the spectral data for biomedical applications.

scholarly journals A set of motives to unite them all?

2015 ◽  
Vol 23 (1) ◽  
pp. 2-14 ◽  
Author(s):  
Alvaro Cuervo-Cazurra ◽  
Rajneesh Narula
Keyword(s):  
Multinational Enterprises ◽  
Design Methodology ◽  
Future Research ◽  
Special Issue ◽  
New Developments ◽  
Content Type ◽  
The Past ◽  
Nuanced Understanding ◽  
The Way

Purpose – The purpose of this paper is to introduce the debate forum on internationalization motives of this special issue of Multinational Business Review. Design/methodology/approach – The authors reflect on the background and evolution of the internationalization motives over the past few decades, and then provide suggestions for how to use the motives for future analyses. The authors also reflect on the contributions to the debate of the accompanying articles of the forum. Findings – There continue to be new developments in the way in which firms organize themselves as multinational enterprises (MNEs), and this implies that the “classic” motives originally introduced by Dunning in 1993 need to be revisited. Dunning’s motives and arguments were deductive and atheoretical, and these were intended to be used as a toolkit, used in conjunction with other theories and frameworks. They are not an alternative to a classification of possible MNE strategies. Originality/value – This paper and the ones that accompany it, provide a deeper and nuanced understanding on internationalization motives for future research to build on.

Information-Processing Biases in Children and Adolescents:An Introduction to the Special Issue

2015 ◽  
Vol 29 (3) ◽  
pp. 167-170
Author(s):  
Jamie A. Micco
Keyword(s):  
Information Processing ◽  
Anxiety And Depression ◽  
Special Issue ◽  
Emotional Stimuli ◽  
New Developments ◽  
The Past ◽  
Innovative Methods ◽  
Information Processing Biases ◽  
Interpretation Biases ◽  
Specific Factors

This special issue focuses on new developments in research on information-processing biases in children and adolescents. Prior research suggests that attention and interpretation biases in response to emotional stimuli may be associated with the etiology and maintenance of anxiety and depression in youth. Although our understanding of youth biases has burgeoned over the past decade, questions remain regarding mixed findings across studies, heterogeneity of biases across individuals, specific factors that contribute to and maintain biases, and how best to maximize the efficacy of interventions designed to modify biases. Through the use of innovative methods and technology, the articles in this special issue illustrate progress being made toward filling these gaps in our knowledge and showcase some of the exciting new developments in this area of research.

scholarly journals Special Issue “Advanced Signal Processing in Intelligent Systems for Health Monitoring”

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4727
Author(s):  
Maysam Abbod ◽  
Jiann-Shing Shieh
Keyword(s):  
Artificial Intelligence ◽  
Signal Processing ◽  
Big Data ◽  
Deep Learning ◽  
Health Monitoring ◽  
Intelligent Systems ◽  
Measurement Techniques ◽  
Mechanical Systems ◽  
Data Sets ◽  
Special Issue

Recently, significant developments have been achieved in the field of artificial intelligence, in particular the introduction of deep learning technology that has improved the learning and prediction accuracy to unpresented levels, especially when dealing with big data and high-resolution images. Significant developments have occurred in the area of medical signal processing, measurement techniques, and health monitoring, such as vital biological signs for biomedical systems and noise and vibration of mechanical systems, which are carried out by instruments that generate large data sets. These big data sets, ultimately driven by high population growth, would require Artificial Intelligence techniques to analyse and model. In this Special Issue, papers are presented on the latest signal processing and deep learning techniques used for health monitoring of biomedical and mechanical systems.

scholarly journals Raman Spectroscopy in Graphene-Based Systems: Prototypes for Nanoscience and Nanometrology

2012 ◽  
Vol 2012 ◽  
pp. 1-16 ◽  
Author(s):  
Ado Jorio
Keyword(s):  
Raman Spectroscopy ◽  
Carbon Nanostructures ◽  
External Factors ◽  
New Developments ◽  
One Dimensional ◽  
Resonance Effects ◽  
The Past ◽  
Different Types ◽  
Effect Of Disorder

Raman spectroscopy is a powerful tool to characterize the different types of sp2 carbon nanostructures, including two-dimensional graphene, one-dimensional nanotubes, and the effect of disorder in their structures. This work discusses why sp2 nanocarbons can be considered as prototype materials for the development of nanoscience and nanometrology. The sp2 nanocarbon structures are quickly introduced, followed by a discussion on how this field evolved in the past decades. In sequence, their rather rich Raman spectra composed of many peaks induced by single- and multiple-resonance effects are introduced. The properties of the main Raman peaks are then described, including their dependence on both materials structure and external factors, like temperature, pressure, doping, and environmental effects. Recent applications that are pushing the technique limits, such as multitechnique approach and in situ nanomanipulation, are highlighted, ending with some challenges for new developments in this field.

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