Parcellation of fMRI datasets with ICA and PLS: a data driven approach

Inter-subject parcellation of functional Magnetic Resonance Imaging (fMRI) data based on a standard General Linear Model (GLM) and spectral clustering was recently proposed as a means to alleviate the issues associated with spatial normalization in fMRI. However, for all its appeal, a GLM-based parcellation approach introduces its own biases, in the form of a priori knowledge about the shape of Hemodynamic Response Function (HRF) and task-related signal changes, or about the subject behaviour during the task. In this paper, we introduce a data-driven version of the spectral clustering parcellation, based on Independent Component Analysis (ICA) and Partial Least Squares (PLS) instead of the GLM. First, a number of independent components are automatically selected. Seed voxels are then obtained from the associated ICA maps and we compute the PLS latent variables between the fMRI signal of the seed voxels (which covers regional variations of the HRF) and the principal components of the signal across all voxels. Finally, we parcellate all subjects data with a spectral clustering of the PLS latent variables. We present results of the application of the proposed method on both single-subject and multi-subject fMRI datasets. Preliminary experimental results, evaluated with intra-parcel variance of GLM t-values and PLS derived t-values, indicate that this data-driven approach offers improvement in terms of parcellation accuracy over GLM based techniques.

Desenvolvimento de método para discriminação entre marcas de uísque e identificação de adulteração por espectroscopia UV-Vis e PLS-DA

Dissertação (mestrado)—Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Química, 2015.

O papel da partilha de conhecimento na relação entre confiança e compromisso organizacional

Mestrado em Ciências Empresariais

Quality evaluation of cortex berberidis from different geographical origins by simultaneous high performance liquid chromatography combined with statistical methods

Purpose: To develop an effective method for evaluating the quality of Cortex berberidis from different geographical origins. Methods: A simple, precise and accurate high performance liquid chromatography (HPLC) method was first developed for simultaneous quantification of four active alkaloids (magnoflorine, jatrorrhizine, palmatine, and berberine) in Cortex berberidis obtained from Qinghai, Tibet and Sichuan Provinces of China. Method validation was performed in terms of precision, repeatability, stability, accuracy, and linearity. Besides, partial least squares discriminant analysis (PLS-DA) and one-way analysis of variance (ANOVA) were applied to study the quality variations of Cortex berberidis from various geographical origins. Results: The proposed HPLC method showed good linearity, precision, repeatability, and accuracy. The four alkaloids were detected in all samples of Cortex berberidis. Among them, magnoflorine (36.46 - 87.30 mg/g) consistently showed the highest amounts in all the samples, followed by berberine (16.00 - 37.50 mg/g). The content varied in the range of 0.66 - 4.57 mg/g for palmatine and 1.53 - 16.26 mg/g for jatrorrhizine, respectively. The total content of the four alkaloids ranged from 67.62 to 114.79 mg/g. Moreover, the results obtained by the PLS-DA and ANOVA showed that magnoflorine level and the total content of these four alkaloids in Qinghai and Tibet samples were significantly higher (p < 0.01) than those in Sichuan samples. Conclusion: Quantification of multi-ingredients by HPLC combined with statistical methods provide an effective approach for achieving origin discrimination and quality evaluation of Cortex berberidis. The quality of Cortex berberidis closely correlates to the geographical origin of the samples, with Cortex berberidis samples from Qinghai and Tibet exhibiting superior qualities to those from Sichuan.

Estudo da homogeneidade e discriminação de madeiras através de espectroscopia de imagens, imagens digitais e ferramentas quimiométricas

Tese (doutorado)–Universidade de Brasília, Instituto de Química, Programa de Pós-Graduação em Química, 2016.

Career Technical Education Adjunct Faculty Teacher Readiness: An Investigation of Teacher Excellence and Variables of Preparedness

The purpose of this research was to examine the relationship between teaching readiness and teaching excellence with three variables of preparedness of adjunct professors teaching career technical education courses through student surveys using a correlational design of two statistical techniques; least-squares regression and one-way analysis of variance. That is, the research tested the relationship between teacher readiness and teacher excellence with the number of years teaching, the number of years of experience in the professional field and exposure to teaching related professional development, referred to as variables of preparedness. The results of the research provided insight to the relationship between the variables of preparedness and student assessment of their adjunct professors. Concerning the years of teaching experience, this research found a negative inverse relationship with how students rated their professors’ teaching readiness and excellence. The research also found no relationship between years of professional experience and the students’ assessment. Lastly, the research found a significant positive relationship between the amount of teaching related professional development taken by an adjunct professor and the students’ assessment in teaching readiness and excellence. This research suggests that policies and practices at colleges should address the professional development needs of adjunct professors. Also, to design a model that meets the practices of inclusion for adjunct faculty and to make professional development a priority within the organization. Lastly, implement that model over time to prepare adjuncts in readiness and excellence.

Internal market orientation and market/oriented behaviours

Purpose – The purpose of this empirical paper is to investigate internal marketing from a behavioural perspective. The impact of internal marketing behaviours, operationalised as an internal market orientation (IMO), on employees' marketing and other in/role behaviours (IRB) were examined. Design/methodology/approach – Survey data measuring IMO, market orientation and a range of constructs relevant to the nomological network in which they are embedded were collected from the UK retail managers. These were tested to establish their psychometric properties and the conceptual model was analysed using structural equations modelling, employing a partial least squares methodology. Findings – IMO has positive consequences for employees' market/oriented and other IRB. These, in turn, influence marketing success. Research limitations/implications – The paper provides empirical support for the long/held assumption that internal and external marketing are related and that organisations should balance their external focus with some attention to employees. Future research could measure the attitudes and behaviours of managers, employees and customers directly and explore the relationships between them. Practical implications – Firm must ensure that they do not put the needs of their employees second to those of managers and shareholders; managers must develop their listening skills and organisations must become more responsive to the needs of their employees. Originality/value – The paper contributes to the scarce body of empirical support for the role of internal marketing in services organisations. For researchers, this paper legitimises the study of internal marketing as a route to external market success; for managers, the study provides quantifiable evidence that focusing on employees' wants and needs impacts their behaviours towards the market. © 2010, Emerald Group Publishing Limited

The effects of celebrity endorsement on the consumers’ perceptions towards global brands

Brands are those lifestyles which consumers chose to buy in order to gain the value offered by the company, in order to be part of the community created through the brand equity elements and validated in the purchase of the products. Companies have understood how important it is to build a strong brand and many of them spend millions on aligning the brand with the design and style of the products, projecting the face and values of the company into the advertising campaigns. One of the most popular methods is through endorsement, placing a renounced celebrity and leveraging on the positive feedback of those customers that also follow the activities of the star whose face is on the cover of the marcom campaign. Celebrities have been used for a very long time to promote brands, sell products and services. Research has shown that those spokesmen of a brand who are more attractive can improve the statistics of recall and appeal more interest to the promotion campaign, as well as influence more on customer’s intention of buying the product (Kahle and Homer, 1985). The main purpose of this research is to investigate how celebrity endorsements influence the brand equity dimensions (brand loyalty, brand awareness, perceived quality and brand associations) as well as stimulate consumers’ word-of-mouth through brand identification, growth in interest and the advertising memorability. The hypotheses were tested with the aid of Structural Equation Modelling (SEM) in the PLS (Partial Least Squares) software. The survey is comprised of a target group of 589 respondents, from three countries – Brazil, Moldova and Portugal. Results evidence that the Attitude towards the Celebrity influences different Brand Equity dimensions and affects brand identification, growth in advertisement interest and advertising memorability, generating positive word of mouth (or negative, depending on the type of advertisement and reputation). Based on these findings we suggest further investigation in this area with the possibility to gain more data about the different fields of marcom and the different types of CE which are more appropriate for the given type of business.

Travellers’ intention to purchase travel online: integrating trust and risk to the theory of planned behaviour

This study aims to determine which factors influence travellers’ intentions to purchase travel online by proposing and empirically testing a new model grounded on the theory of planned behaviour. In order to validate the model, a web-based questionnaire was applied and a total of 1732 valid responses were obtained. The findings show that attitudes, perceived risk, and perceived behavioural control have significant effects on intentions to purchase travel online. However, contrary to what was expected, neither trust nor the influence of others seems to directly affect intentions to purchase travel online. Finally, the paper discusses the findings with the implicationsfor theory and practice and makes several suggestions for future research.

Travellers’ intention to purchase travel online: integrating trust and risk to the theory of planned behaviour

This study aims to determine which factors influence travellers’ intentions to purchase travel online by proposing and empirically testing a new model grounded on the theory of planned behaviour. In order to validate the model, a web-based questionnaire was applied and a total of 1732 valid responses were obtained. The findings show that attitudes, perceived risk, and perceived behavioural control have significant effects on intentions to purchase travel online. However, contrary to what was expected, neither trust nor the influence of others seems to directly affect intentions to purchase travel online. Finally, the paper discusses the findings with the implications for theory and practice and makes several suggestions for future research.

El impacto del compromiso por la calidad y la cultura emprendedora sobre el comportamiento innovador de la pyme manufacturera bajo un enfoque de dirección participativa

Esta investigación de carácter exploratorio, contribuye a explicar cómo afecta al comportamiento innovador de la pyme manufacturera dos filosofías empresariales. En concreto, se estudia el impacto sobre el comportamiento innovador del compromiso por la calidad y del fomento de una cultura emprendedora, bajo un enfoque de dirección participativa. Para ello se establece un modelo estructural con las relaciones entre dichas variables y se analiza con la técnica PLS (Partial Least Squares). Los resultados muestran que tanto una como otra postura afectan al comportamiento innovador de una manera muy similar.

Análisis de intangibles estratégicos y su impacto en los comportamientos de la Pyme manufacturera

Tesis inédita presentada en la Universidad Europea de Madrid. Facultad de Ciencias Sociales. Programa de Doctorado en Economía y Empresa

NIR spectrocospy can evaluate the crystallinity and the tensile and burst strenghts of nanocellulosic films.

The near infrared (NIR) spectroscopy presents itself as an interesting non-destructive test tool as it enables a fast, simple and reliable way for characterizing large samplings of biological materials in a short period of time. This work aimed to establish multivariate models to estimate the crystallinity indices and tensile and burst strength of cellulosic and nanocellulosic films through NIR spectroscopy. NIR spectra were recorded from the films before tensile and bursting strength, and crystallinity tests. Spectral information were correlated with reference values obtained by laboratory procedures through partial least square regression (PLS-R). The PLS-R model for estimating the crystallinity index presented a coefficient of determination in cross-validation (R2cv) of 0,94 and the ratio of performance to deviation (RPD) was 3,77. The mechanical properties of the films presented a high correlation with the NIR spectra: R2p = 0,85 (RPD = 2,23) for tensile and R2p = 0,93 (RPD = 3,40) for burst strength. The statistics associated to the models presented have shown that the NIR spectroscopy has the potential to estimate the crystallinity index and resistance properties of cellulose and nanocellulose films on in-line monitoring systems.

Comparing Near-infrared Conventional Diffuse Reflectance Spectroscopy And Hyperspectral Imaging For Determination Of The Bulk Properties Of Solid Samples By Multivariate Regression: Determination Of Mooney Viscosity And Plasticity Indices Of Natural Rubber.

Conventional reflectance spectroscopy (NIRS) and hyperspectral imaging (HI) in the near-infrared region (1000-2500 nm) are evaluated and compared, using, as the case study, the determination of relevant properties related to the quality of natural rubber. Mooney viscosity (MV) and plasticity indices (PI) (PI0 - original plasticity, PI30 - plasticity after accelerated aging, and PRI - the plasticity retention index after accelerated aging) of rubber were determined using multivariate regression models. Two hundred and eighty six samples of rubber were measured using conventional and hyperspectral near-infrared imaging reflectance instruments in the range of 1000-2500 nm. The sample set was split into regression (n = 191) and external validation (n = 95) sub-sets. Three instruments were employed for data acquisition: a line scanning hyperspectral camera and two conventional FT-NIR spectrometers. Sample heterogeneity was evaluated using hyperspectral images obtained with a resolution of 150 × 150 μm and principal component analysis. The probed sample area (5 cm(2); 24,000 pixels) to achieve representativeness was found to be equivalent to the average of 6 spectra for a 1 cm diameter probing circular window of one FT-NIR instrument. The other spectrophotometer can probe the whole sample in only one measurement. The results show that the rubber properties can be determined with very similar accuracy and precision by Partial Least Square (PLS) regression models regardless of whether HI-NIR or conventional FT-NIR produce the spectral datasets. The best Root Mean Square Errors of Prediction (RMSEPs) of external validation for MV, PI0, PI30, and PRI were 4.3, 1.8, 3.4, and 5.3%, respectively. Though the quantitative results provided by the three instruments can be considered equivalent, the hyperspectral imaging instrument presents a number of advantages, being about 6 times faster than conventional bulk spectrometers, producing robust spectral data by ensuring sample representativeness, and minimizing the effect of the presence of contaminants.

Geographical, temporal and environmental determinants of bryophyte species richness in the Macaronesian Islands

Copyright: © 2014 Aranda et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.