Catalogue Search | MBRL
Are you sure you want to remove the book from the shelf?
{{itemTitle}}
912
result(s) for
"Otero, Miguel"
Sort by:
The Euro, the dollar and the global financial crisis : currency challenges seen from emerging markets
\"This book analyses how financial elites in key dollar-holding emerging markets perceive the contest between the euro and the dollar for global currency status. It also assesses how far the Eurozone has gone in challenging US hegemony in monetary affairs through the prism of these elites.Drawing on Chartalist and Constructivist theories of money, the author provides a systematic approach to studying global currency dynamics and presents extensive original empirical data on financial elites in China, Saudi Arabia, the UAE and Brazil. The author demonstrates, amongst other things, how the gradual ascendance of a structurally flawed currency like the euro has highlighted the weaknesses of the dollar ad how the euro has demonstrated that sovereignty sharing in monetary affairs is possible and that the international monetary system can be a multicurrency and multilateral system.In this highly innovative and important book, Otero-Inglesias shows the importance of studying financial elites in Brazil, China and the GCC countries in order to understand the full impact, material and ideational, of the euro in the transformation of the IMS. It will be vital reading for students and scholars of International Political Economy, International Economics, International Finance, Economic History, Economic Sociology, International Relations, Comparative Political Economy and Comparative Politics\"-- Provided by publisher.
Book
The emotional influence on satisfaction and complaint behavior in hedonic and utilitarian services
Purpose
Greater attention should be paid to the emotional aspects of the service experience. In this context, this paper aims to propose that emotions will have a different impact on customers’ complaint behavior and satisfaction depending on the hedonic or utilitarian nature of the service and for this purpose a valence-based approach is followed.
Design/methodology/approach
A sample of 809 service users was analyzed through multi-group structural equation modeling, including both hedonic (bars and cafeterias, n = 210) and utilitarian services (bank and public transportation services, n = 599).
Findings
Research findings show the different influence of emotions on customers’ complaint behavior and satisfaction depending on the service nature. Further, the negative affect does not influence behavioral outcomes in hedonic services, whereas positive affect exerts a slight lower influence in utilitarian services. Finally, the service nature plays a moderating role in the emotions–satisfaction and emotions–complaint behavior relationship.
Originality/value
This research shows the important role of the service nature, reporting different results for hedonic and utilitarian services in the influence of emotions in behavioral outcomes.
Journal Article
Machine learning identification of thresholds to discriminate osteoarthritis and rheumatoid arthritis synovial inflammation
Background
We sought to identify features that distinguish osteoarthritis (OA) and rheumatoid arthritis (RA) hematoxylin and eosin (H&E)-stained synovial tissue samples.
Methods
We compared fourteen pathologist-scored histology features and computer vision-quantified cell density (147 OA and 60 RA patients) in H&E-stained synovial tissue samples from total knee replacement (TKR) explants. A random forest model was trained using disease state (OA vs RA) as a classifier and histology features and/or computer vision-quantified cell density as inputs.
Results
Synovium from OA patients had increased mast cells and fibrosis (
p
< 0.001), while synovium from RA patients exhibited increased lymphocytic inflammation, lining hyperplasia, neutrophils, detritus, plasma cells, binucleate plasma cells, sub-lining giant cells, fibrin (all
p
< 0.001), Russell bodies (
p
= 0.019), and synovial lining giant cells (
p
= 0.003). Fourteen pathologist-scored features allowed for discrimination between OA and RA, producing a micro-averaged area under the receiver operating curve (micro-AUC) of 0.85±0.06. This discriminatory ability was comparable to that of computer vision cell density alone (micro-AUC = 0.87±0.04). Combining the pathologist scores with the cell density metric improved the discriminatory power of the model (micro-AUC = 0.92±0.06). The optimal cell density threshold to distinguish OA from RA synovium was 3400 cells/mm
2
, which yielded a sensitivity of 0.82 and specificity of 0.82.
Conclusions
H&E-stained images of TKR explant synovium can be correctly classified as OA or RA in 82% of samples. Cell density greater than 3400 cells/mm
2
and the presence of mast cells and fibrosis are the most important features for making this distinction.
Journal Article
DNA methylation of the RUNX2 P1 promoter mediates MMP13 transcription in chondrocytes
The Runt-related transcription factor 2 (RUNX2) is critical for bone formation as well as chondrocyte maturation. Matrix metalloproteinase (MMP)-13 is a major contributor to cartilage degradation in osteoarthritis (OA). We and others have shown that the abnormal
MMP13
gene expression in OA chondrocytes is controlled by changes in the DNA methylation status of specific CpG sites of the proximal promoter, as well as by the actions of different transactivators, including RUNX2. The present study aimed to determine the influence of the methylation status of specific CpG sites in the
RUNX2
promoter on RUNX2-driven
MMP13
gene expression in OA chondrocytes. We observed a significant correlation between
MMP13
mRNA levels and
RUNX2
gene expression in human OA chondrocytes. RUNX2 overexpression enhanced
MMP13
promoter activity, independent of the
MMP13
promoter methylation status. A significant negative correlation was observed between
RUNX2
mRNA levels in OA chondrocytes and the percentage methylation of the CpG sites in the
RUNX2
P1 promoter. Accordingly, the activity of the wild type
RUNX2
promoter was decreased upon methylation treatment
in vitro
. We conclude that
RUNX2
gene transcription is regulated by the methylation status of specific CpG sites in the promoter and may determine
RUNX2
availability in OA cartilage for transactivation of genes such as
MMP13
.
Journal Article
In vitro responses to platelet-rich-plasma are associated with variable clinical outcomes in patients with knee osteoarthritis
Autologous blood-derived products such as platelet-rich plasma (PRP) are widely used to treat musculoskeletal conditions, including knee osteoarthritis (OA). However, the clinical outcomes after PRP administration are often variable, and there is limited information about the specific characteristics of PRP that impact bioactivity and clinical responses. In this study, we aimed to develop an integrative workflow to evaluate responses to PRP in vitro, and to assess if the in vitro responses to PRP are associated with the PRP composition and clinical outcomes in patients with knee OA. To do this, we used a coculture system of macrophages and fibroblasts paired with transcriptomic analyses to comprehensively characterize the modulation of inflammatory responses by PRP in vitro. Relying on patient-reported outcomes and achievement of minimal clinically important differences in OA patients receiving PRP injections, we identified responders and non-responders to the treatment. Comparisons of PRP from these patient groups allowed us to identify differences in the composition and in vitro activity of PRP. We believe that our integrative workflow may enable the development of targeted approaches that rely on PRP and other orthobiologics to treat musculoskeletal pathologies.
Journal Article
Computational pathology for musculoskeletal conditions using machine learning: advances, trends, and challenges
Histopathology is widely used to analyze clinical biopsy specimens and tissues from pre-clinical models of a variety of musculoskeletal conditions. Histological assessment relies on scoring systems that require expertise, time, and resources, which can lead to an analysis bottleneck. Recent advancements in digital imaging and image processing provide an opportunity to automate histological analyses by implementing advanced statistical models such as machine learning and deep learning, which would greatly benefit the musculoskeletal field. This review provides a high-level overview of machine learning applications, a general pipeline of tissue collection to model selection, and highlights the development of image analysis methods, including some machine learning applications, to solve musculoskeletal problems. We discuss the optimization steps for tissue processing, sectioning, staining, and imaging that are critical for the successful generalizability of an automated image analysis model. We also commenting on the considerations that should be taken into account during model selection and the considerable advances in the field of computer vision outside of histopathology, which can be leveraged for image analysis. Finally, we provide a historic perspective of the previously used histopathological image analysis applications for musculoskeletal diseases, and we contrast it with the advantages of implementing state-of-the-art computational pathology approaches. While some deep learning approaches have been used, there is a significant opportunity to expand the use of such approaches to solve musculoskeletal problems.
Journal Article
Activation of nuclear factor-kappa B by TNF promotes nucleus pulposus mineralization through inhibition of ANKH and ENPP1
Spontaneous mineralization of the nucleus pulposus (NP) has been observed in cases of intervertebral disc degeneration (IDD). Inflammatory cytokines have been implicated in mineralization of multiple tissues through their modulation of expression of factors that enable or inhibit mineralization, including TNAP, ANKH or ENPP1. This study examines the underlying factors leading to NP mineralization, focusing on the contribution of the inflammatory cytokine, TNF, to this pathologic event. We show that human and bovine primary NP cells express high levels of ANKH and ENPP1, and low or undetectable levels of TNAP. Bovine NPs transduced to express TNAP were capable of matrix mineralization, which was further enhanced by ANKH knockdown. TNF treatment or overexpression promoted a greater increase in mineralization of TNAP-expressing cells by downregulating the expression of ANKH and ENPP1 via NF-κB activation. The increased mineralization was accompanied by phenotypic changes that resemble chondrocyte hypertrophy, including increased RUNX2 and COL10A1 mRNA; mirroring the cellular alterations typical of samples from IDD patients. Disc organ explants injected with TNAP/TNF- or TNAP/shANKH-overexpressing cells showed increased mineral content inside the NP. Together, our results confirm interactions between TNF and downstream regulators of matrix mineralization in NP cells, providing evidence to suggest their participation in NP calcification during IDD.
Journal Article
Transcriptomic and epigenomic analyses uncovered Lrrc15 as a contributing factor to cartilage damage in osteoarthritis
In osteoarthritis (OA), articular chondrocytes display phenotypic and functional changes associated with epigenomic alterations. These changes contribute to the disease progression, which is characterized by dysregulated reparative processes and abnormal extracellular matrix remodeling leading to cartilage degradation. Recent studies using a murine model of posttraumatic OA highlighted the contribution of changes in DNA hydroxymethylation (5hmC) to OA progression. Here, we integrated transcriptomic and epigenomic analyses in cartilage after induction of OA to show that the structural progression of OA is accompanied by early transcriptomic and pronounced DNA methylation (5mC) changes in chondrocytes. These changes accumulate over time and are associated with recapitulation of developmental processes, including cartilage development, chondrocyte hypertrophy, and ossification. Our integrative analyses also uncovered that Lrrc15 is differentially methylated and expressed in OA cartilage, and that it may contribute to the functional and phenotypic alterations of chondrocytes, likely coordinating stress responses and dysregulated extracellular matrix remodeling.
Journal Article
A profile of mobile service users in a mature market: from “uninvolved pragmatics” to “potential switchers”
PurposeMobile services are expanding rapidly, and in this tremendously dynamic environment, companies should provide value-added services to meet users’ demand. In this context, the study aims to determine whether different user groups exist in this market and profile them.MethodologyBased on the information of 568 mobile service users, a research was developed in the context of a mature mobile services market – Spain. A behavior-based cluster analysis is developed by means of confirmatory factor analysis (CFA), followed by two-step clustering. Then, an ANOVA and post hoc Tukey tests are conducted to confirm differences among the obtained clusters.FindingsThe study findings show that mobile service users cannot be perceived as a homogenous group, as different users with different behaviors coexist in this market. More specifically, four behavior-based segments emerge in the mobile service sector: “service connoisseurs,” “uninvolved pragmatics,” “potential switchers” and “delighted loyal”; “potential switchers” being the most challenging segment for mobile service companies.ValueThis study reports mobile service users’ heterogeneity; and in turn, mobile service managers should consider customers as four different types, instead of considering them as one single customer.
Journal Article
Hepatic Olfr734 Deficiency Worsens Hepatic Glucose Metabolism and Induces MASLD in Mice
Background/Objectives: Asprosin is the endogenous ligand of the olfactory Olfr734 receptor linked to MASLD and glucose metabolism. Despite the involvement of asprosin in these processes, little has been published on the specific role of Olfr734 in liver function. The aim of this work is therefore to study the specific role of the olfactory Olfr734 receptor in MASLD and glucose metabolism. Methods: To achieve this objective, we performed a genetic inhibition specifically to inhibit Olfr734 in the livers of male mice. We then studied the progression of MASLD in DIO mice. In addition, we studied the glucose metabolism in hypoglycemia states and postprandial glucose production in standard diet-fed mice. Finally, analyses of liver biopsies from patients with obesity and with or without T2DM were conducted. Results: We found that hepatic Olfr734 levels vary according to changes in nutritional status and its knockdown effect in the liver is to increase the hepatic lipid content in DIO mice. Our results also showed that OLFR734 expression is involved in the adaptive response in terms of glucose production to nutrient availability. Finally, the hepatic human Olfr734 ortholog named OR4M1 has been observed to be at significantly higher levels in male patients with T2DM. Conclusions: This study increases understanding of the mechanisms by which the modulation of Olfr734 expression affects liver function.
Journal Article