bluuebunny/crossref_metadata_2025_split huggingface dataset:
An Application of the IFM Method for the Risk Assessment of Financial Instruments
Authors: Pons Adrià , Cristobal-Fransi Eduard , Vintrò Carla , Rius Josep , Querol Oriol , Vilaplana Jordi 
Published: October 2021

AbstractExternal influences or behavioral biases can affect the way risk is perceived. This paper studies the prediction of VaR (Value at Risk) as a measure of the risk of loss for investments on financial products. Our aim is to predict the percentage of loss that a financial product would have in the future to assess the risks and determine the potential loss of a security in the stock market, thus reducing reasoning influenced by feelings for bank and financial firms seeking to deploy AI and advanced automation. We used the IFM (inference function for margins) method in different market scenarios, with particular emphasis on the strengths and weaknesses of it. The study is assessed on single product level with the skewed studen-t GARCH(1,1) model and portfolio level with t-copulas for the inter-dependencies. It has been shown that under normal market conditions the risk is predicted properly for both levels. However, when an unexpected market event occurs, the prediction fails. To address this limitation, a combined model with sentiment analysis and regression is proposed for further investigation as a future work.
Analytical Comparison of Clustering Techniques for the Recognition of Communication Patterns
Authors: Kaya Muhammed-Fatih , Schoop Mareike 
Published: October 2021

AbstractThe systematic processing of unstructured communication data as well as the milestone of pattern recognition in order to determine communication groups in negotiations bears many challenges in Machine Learning. In particular, the so-called curse of dimensionality makes the pattern recognition process demanding and requires further research in the negotiation environment. In this paper, various selected renowned clustering approaches are evaluated with regard to their pattern recognition potential based on high-dimensional negotiation communication data. A research approach is presented to evaluate the application potential of selected methods via a holistic framework including three main evaluation milestones: the determination of optimal number of clusters, the main clustering application, and the performance evaluation. Hence, quantified Term Document Matrices are initially pre-processed and afterwards used as underlying databases to investigate the pattern recognition potential of clustering techniques by considering the information regarding the optimal number of clusters and by measuring the respective internal as well as external performances. The overall research results show that certain cluster separations are recommended by internal and external performance measures by means of a holistic evaluation approach, whereas three of the clustering separations are eliminated based on the evaluation results.
Inequality measurement and tax/transfer policy
Authors: Apps Patricia , Rees Ray 
Published: October 2021

AbstractWe provide a critique of the standard methodology for inequality measurement, which makes welfare comparisons between households by deflating household income and consumption with an equivalence scale. We argue that this leads to support for tax/transfer policies that significantly disadvantage low to middle income households and second earners—predominantly women. Its main limitations are that it takes an overly-simplistic approach to household production, bases its welfare measurements on joint household income, and has no theory of the family household. We point the way to an alternative procedure by presenting a theoretical model of the family household that derives duality-based welfare measures. In the light of current data limitations we propose, as a second best, primary earner income as a superior base to joint income for across-household welfare comparisons in policy formulation. We also emphasise the importance of taking the family life cycle into account when making such comparisons. We use the Australian income tax system and Australian income and tax data for a detailed comparison of the standard approach with our proposed alternative.
High-temperature-tolerable superconducting Nb-alloy and its application to Pb- and Cd-free superconducting joints between NbTi and Nb3Sn wires
Authors: Banno Nobuya , Kobayashi Kensuke , Uchida Akira , Kitaguchi Hitoshi 
Published: October 2021

AbstractFor more than 30 years, Pb–Bi alloy and Wood's metal (50% Bi, 26.7% Pb, 13.3% Sn, and 10% Cd) have been used as representative superconducting solder intermedia to establish superconducting joints between NbTi and Nb3Sn wires in high-field nuclear magnetic resonance magnet systems. However, the use of Pb and Cd has been severely restricted by environmental regulations, such as the Restriction of Hazardous Substances Directive. Herein, a novel method of forming a superconducting joint between NbTi and Nb3Sn wires without Pb and Cd has been proposed. This approach is based on metallurgical bonding processes using a superconducting Nb-alloy intermedium, whose fine microstructure is maintained even after exposure to temperatures higher than 650 °C. Further, fine crystal defects become sources of magnetic flux pinning centers. Among transition elements close to Nb, Hf is considered the most suitable additive for realizing high-temperature-tolerable (HTT) superconducting Nb-alloy intermedia. Utilizing the HTT characteristic of Nb–Hf, a superconducting joint between Nb3Sn filaments and one end of the Nb–Hf alloy core was created by forming a superconducting Nb3Sn layer at the interface through a chemical reaction. The other end of the Nb–Hf alloy core was cold-pressed with NbTi filaments, to connect their active new surfaces to each other in order to create a superconducting joint. Ultimately, a superconducting joint between NbTi and Nb3Sn wires was realized with a high critical magnetic field (Bc2) of more than 1 T. The formation of the superconducting joint was confirmed by current decay measurements. This method of forming a superconducting joint is promising for application in environmentally friendly nuclear magnetic resonance magnet systems.
Graphical abstract
The Manhattan and Lorentz Mirror Models: A Result on the Cylinder with Low Density of Mirrors
Authors: Ryan Kieran 
Published: October 2021

AbstractWe study the Manhattan and Lorentz mirror models on an infinite cylinder of finite even width n, with the mirror probability p satisfying $$p<Cn^{-1}$$

p
<
C

n

-
1

, C a constant. We show that the maximum height along the cylinder reached by a walker is order $$p^{-2}$$

p

-
2

. We observe an algebraic structure, which helps organise our argument. The models on the cylinder can be thought of as Markov chains on the Brauer (in the Mirror case) or Walled Brauer (in the Manhattan case) algebra, with the transfer matrix given by multiplication by an element of the algebra.
Influence of various factors on the value of thoron emanation coefficient
Authors: Danyłec Karolina , Mazur Jadwiga , Kozak Krzysztof , Grządziel Dominik , Mroczek Mariusz 
Published: October 2021

AbstractThe “powder sandwich” method was adapted to the measuring equipment at the Laboratory of Radiometric Expertise, IFJ PAN (Kraków, Poland). The versatility of the method has been confirmed. The values of thoron emanation coefficients (f) for 16 materials have been determined. It has been found that the value of thoron emanation coefficient is not directly dependent on the concentration of 224Ra, other factors are also important, e.g. the size of the grains, the inter-grain space and the distribution of radium atoms in the grain. The influence of the grain size on the value of thoron emanation coefficient was investigated.
Tumor BRCA testing in ovarian cancer and EQA scheme: our experience of a critical evaluation
Authors: De Paolis Elisa , Concolino Paola , Onori Maria Elisabetta , Santonocito Concetta , Marchetti Claudia , Fagotti Anna , Scambia Giovanni , Urbani Andrea , Minucci Angelo 
Published: October 2021

AbstractNext generation sequencing (NGS) is a widespread molecular biology method integrated into clinical practice to detect genetic variants, for diagnostic and prognostic purposes. The scheduled external quality assessments (EQA) is integral part of clinical molecular laboratory quality assurance. The EQA provides an efficient system to compare analytic test performances among different laboratories, which is essential to evaluate consistency of molecular test. EQA failures demands targeted corrective action plans. In this context, the complexity of the NGS techniques requires careful and continuous quality control procedures. We report a tumor BRCA1/2 (tBRCA) testing benchmark discrepancy provided by the European Molecular Genetics Quality Network in our laboratory during a round of EQA for somatic mutation testing of BRCA genes in relation to ovarian cancer. The critical analysis emerging from the tBRCA EQA is presented. We underline that harmonization processes are still required for the EQA in the molecular biology field, especially if applied to the evaluation of methods characterized by high complexity.
The Effect of Single Nucleotide Variations in the Transmembrane Domain of OATP1B1 on in vitro Functionality
Authors: Kiander Wilma , Vellonen Kati-Sisko , Malinen Melina M. , Gynther Mikko , Hagström Marja , Bhattacharya Madhushree , Auriola Seppo , Koenderink Jan B. , Kidron Heidi 
Published: October 2021

Abstract
Purpose
Organic Anion Transporting Polypeptide 1B1 (OATP1B1) mediates hepatic influx and clearance of many drugs, including statins. The SLCO1B1 gene is highly polymorphic and its function-impairing variants can predispose patients to adverse effects. The effects of rare genetic variants of SLCO1B1 are mainly unexplored. We examined the impact of eight naturally occurring rare variants and the well-known SLCO1B1 c.521C > T (V174A) variant on in vitro transport activity, cellular localization and abundance.

Methods
Transport of rosuvastatin and 2,7-dichlorofluorescein (DCF) in OATP1B1 expressing HEK293 cells was measured to assess changes in activity of the variants. Immunofluorescence and confocal microscopy determined the cellular localization of OATP1B1 and LC–MS/MS based quantitative targeted absolute proteomics analysis quantified the amount of OATP1B1 in crude membrane fractions.

Results
All studied variants, with the exception of P336R, reduced protein abundance to varying degree. V174A reduced protein abundance the most, over 90% compared to wild type. Transport function was lost in G76E, V174A, L193R and R580Q variants. R181C decreased activity significantly, while T345M and L543W retained most of wild type OATP1B1 activity. P336R showed increased activity and H575L decreased the transport of DCF significantly, but not of rosuvastatin. Decreased activity was interrelated with lower absolute protein abundance in the studied variants.

Conclusions
Transmembrane helices 2, 4 and 11 appear to be crucial for proper membrane localization and function of OATP1B1. Four of the studied variants were identified as loss-of-function variants and as such could make the individual harboring these variants susceptible to altered pharmacokinetics and adverse effects of substrate drugs.
Population niche breadth and individual trophic specialisation of fish along a climate-productivity gradient
Authors: Sánchez-Hernández Javier , Hayden Brian , Harrod Chris , Kahilainen Kimmo K. 
Published: October 2021

AbstractA mechanistic understanding of how environmental change affects trophic ecology of fish at the individual and population level remains elusive. To address this, we conducted a space-for-time approach incorporating environmental gradients (temperature, precipitation and nutrients), lake morphometry (visibility, depth and area), fish communities (richness, competition and predation), prey availability (richness and density) and feeding (population niche breadth and individual trophic specialisation) for 15 native fish taxa belonging to different thermal guilds from 35 subarctic lakes along a marked climate-productivity gradient corresponding to future climate change predictions. We revealed significant and contrasting responses from two generalist species that are abundant and widely distributed in the region. The cold-water adapted European whitefish (Coregonus lavaretus) reduced individual specialisation in warmer and more productive lakes. Conversely, the cool-water adapted Eurasian perch (Perca fluviatilis) showed increased levels of individual specialism along climate-productivity gradient. Although whitefish and perch differed in the way they consumed prey along the climate-productivity gradient, they both switched from consumption of zooplankton in cooler, less productive lakes, to macrozoobenthos in warmer, more productive lakes. Species with specialist benthic or pelagic feeding did not show significant changes in trophic ecology along the gradient. We conclude that generalist consumers, such as warmer adapted perch, have clear advantages over colder and clear-water specialised species or morphs through their capacity to undergo reciprocal benthic–pelagic switches in feeding associated with environmental change. The capacity to show trophic flexibility in warmer and more productive lakes is likely a key trait for species dominance in future communities of high latitudes under climate change.
Financial performance of hidden champions: Evidence from German manufacturing firms
Authors: Johann Matthias S. , Block Jörn H. , Benz Lena 
Published: October 2021

Abstract
Hidden champions are market leaders in niche markets and are an important part of the German Mittelstand. Although the hidden champion phenomenon has received considerable interest in practice, few academic studies on this issue exist. We especially lack evidence on the financial performance of hidden champions. Our study addresses this gap and investigates the profitability of hidden champions. In analyzing a panel dataset of 4677 German manufacturing firms, of which 617 are hidden champions, we find that hidden champions have significantly higher profitability with regard to return on assets but less so regarding return on equity. The hidden champion performance effect on return on assets is valued at 1.7 percentage points. Furthermore, the hidden champion performance effect decreases with firm size. Our paper contributes to the literature on the effect of firm strategy on firm profitability and adds to a better understanding of the hidden champion phenomenon.
Time series-based bibliometric analysis of a systematic review of multidisciplinary care for opioid dose reduction: exploring the origins of the North American opioid crisis
Authors: Sud Abhimanyu , Cheng Darren K. , Moineddin Rahim , Zlahtic Erin , Upshur Ross 
Published: October 2021

AbstractBibliometric analyses of systematic reviews offer unique opportunities to explore the character of specific scientific fields. In this time series-based analysis, dynamics of multidisciplinary care for chronic pain and opioid prescribing are analyzed over a forty-four year time span. Three distinct periods are identified, each defined by distinct research areas, as well as priorities regarding the use of opioids and the appropriate management of chronic pain. These scientometrically defined periods align with timelines identified previously by narrative historical accounts. Through cross-correlation with a mortality time series, a significant two-year lag between opioid overdose mortality and citation dynamics is identified between 2004 and 2019. This analysis demonstrates a bidirectional relationship between the scientific literature and the North American opioid overdose crisis, suggesting that the scientific literature is both reflective and generative of an important health and social phenomenon. A scientometric phenomenon of memory lapse, namely an overt and prolonged failure to cite older relevant literature, is identified using a metric of mean time to citation. It is proposed that this metric can be used to analyze changes in emerging literature and thus predict the nature of clinical and policy responses to the opioid crisis, and thus potentially to other health and social phenomena.
Identifying and characterizing social media communities: a socio-semantic network approach to altmetrics
Authors: Arroyo-Machado Wenceslao , Torres-Salinas Daniel , Robinson-Garcia Nicolas 
Published: October 2021

AbstractAltmetric indicators allow exploring and profiling individuals who discuss and share scientific literature in social media. But it is still a challenge to identify and characterize communities based on the research topics in which they are interested as social and geographic proximity also influence interactions. This paper proposes a new method which profiles social media users based on their interest on research topics using altmetric data. Social media users are clustered based on the topics related to the research publications they share in social media. This allows removing linkages which respond to social or personal proximity and identifying disconnected users who may have similar research interests. We test this method for users tweeting publications from the fields of Information Science & Library Science, and Microbiology. We conclude by discussing the potential application of this method and how it can assist information professionals, policy managers and academics to understand and identify the main actors discussing research literature in social media.
In vivo Imaging of Cannabinoid Type 2 Receptors: Functional and Structural Alterations in Mouse Model of Cerebral Ischemia by PET and MRI
Authors: Ni Ruiqing , Müller Herde Adrienne , Haider Achi , Keller Claudia , Louloudis Georgios , Vaas Markus , Schibli Roger , Ametamey Simon M. , Klohs Jan , Mu Linjing 
Published: October 2021

Abstract

Purpose
Stroke is one of the most prevalent vascular diseases. Non-invasive molecular imaging methods have the potential to provide critical insights into the temporal dynamics and follow alterations of receptor expression and metabolism in ischemic stroke. The aim of this study was to assess the cannabinoid type 2 receptor (CB2R) levels in transient middle cerebral artery occlusion (tMCAO) mouse models at subacute stage using positron emission tomography (PET) with our novel tracer [18F]RoSMA-18-d6 and structural imaging by magnetic resonance imaging (MRI).

Procedures
Our recently developed CB2R PET tracer [18F]RoSMA-18-d6 was used for imaging neuroinflammation at 24 h after reperfusion in tMCAO mice. The RNA expression levels of CB2R and other inflammatory markers were analyzed by quantitative real-time polymerase chain reaction using brain tissues from tMCAO (1 h occlusion) and sham-operated mice. [18F]fluorodeoxyglucose (FDG) was included for evaluation of the cerebral metabolic rate of glucose (CMRglc). In addition, diffusion-weighted imaging and T2-weighted imaging were performed for anatomical reference and delineating the lesion in tMCAO mice.

Results
mRNA expressions of inflammatory markers TNF-α, Iba1, MMP9 and GFAP, CNR2 were increased to 1.3–2.5 fold at 24 h after reperfusion in the ipsilateral compared to contralateral hemisphere of tMCAO mice, while mRNA expression of the neuronal marker MAP-2 was markedly reduced to ca. 50 %. Reduced [18F]FDG uptake was observed in the ischemic striatum of tMCAO mouse brain at 24 h after reperfusion. Although higher activity of [18F]RoSMA-18-d6 in ex vivo biodistribution studies and higher standard uptake value ratio (SUVR) were detected in the ischemic ipsilateral compared to contralateral striatum in tMCAO mice, the in vivo specificity of [18F]RoSMA-18-d6 was confirmed only in the CB2R-rich spleen.

Conclusions
This study revealed an increased [18F]RoSMA-18-d6 measure of CB2R and a reduced [18F]FDG measure of CMRglc in the ischemic striatum of tMCAO mice at subacute stage. [18F]RoSMA-18-d6 might be a promising PET tracer for detecting CB2R alterations in animal models of neuroinflammation without neuronal loss.
Side-by-Side Comparison of uPAR-Targeting Optical Imaging Antibodies and Antibody Fragments for Fluorescence-Guided Surgery of Solid Tumors
Authors: Baart Victor M. , van Manen Labrinus , Bhairosingh Shadhvi S. , Vuijk Floris A. , Iamele Luisa , de Jonge Hugo , Scotti Claudia , Resnati Massimo , Cordfunke Robert A. , Kuppen Peter J. K. , Mazar Andrew P. , Burggraaf Jacobus , Vahrmeijer Alexander L. , Sier Cornelis F. M. 
Published: October 2021

Abstract
Purpose
Radical resection is paramount for curative oncological surgery. Fluorescence-guided surgery (FGS) aids in intraoperative identification of tumor-positive resection margins. This study aims to assess the feasibility of urokinase plasminogen activator receptor (uPAR) targeting antibody fragments for FGS in a direct comparison with their parent IgG in various relevant in vivo models.

Procedures
Humanized anti-uPAR monoclonal antibody MNPR-101 (uIgG) was proteolytically digested into F(ab’)2 and Fab fragments named uFab2 and uFab. Surface plasmon resonance (SPR) and cell assays were used to determine in vitro binding before and after fluorescent labeling with IRDye800CW. Mice bearing subcutaneous HT-29 human colonic cancer cells were imaged serially for up to 120 h after fluorescent tracer administration. Imaging characteristics and ex vivo organ biodistribution were further compared in orthotopic pancreatic ductal adenocarcinoma (BxPc-3-luc2), head-and-neck squamous cell carcinoma (OSC-19-luc2-GFP), and peritoneal carcinomatosis (HT29-luc2) models using the clinical Artemis fluorescence imaging system.

Results
Unconjugated and conjugated uIgG, uFab2, and uFab specifically recognized uPAR in the nanomolar range as determined by SPR and cell assays. Subcutaneous tumors were clearly identifiable with tumor-to-background ratios (TBRs) > 2 after 72 h for uIgG-800F and 24 h for uFab2-800F and uFab-800F. For the latter two, mean fluorescence intensities (MFIs) dipped below predetermined threshold after 72 h and 36 h, respectively. Tumors were easily identified in the orthotopic models with uIgG-800F consistently having the highest MFIs and uFab2-800F and uFab-800F having similar values. In biodistribution studies, kidney and liver fluorescence approached tumor fluorescence after uIgG-800F administration and surpassed tumor fluorescence after uFab2-800F or uFab-800F administration, resulting in interference in the abdominal orthotopic mouse models.

Conclusions
In a side-by-side comparison, FGS with uPAR-targeting antibody fragments compared with the parent IgG resulted in earlier tumor visualization at the expense of peak fluorescence intensity.
How trade can drive inclusive and sustainable food system outcomes in food deficit low-income countries
Authors: van Berkum Siemen 
Published: October 2021

AbstractRecent decades have seen food markets and value chains become increasingly global—a trend that creates challenges as well as opportunities for food systems. Positive trade effects on food security are not always self-evident in food deficit low-income countries. Moreover, whereas international trade may also be used to balance regional differences in climate change impacts and biodiversity, trade can exacerbate environmental challenges associated with food production, land use and climate change. This article argues that, for trade to drive inclusive and sustainable growth of nutritious food production in food deficit low-income countries, policies and investments in these countries must focus on three key priorities: 1) diversifying production and markets to increase resilience to external shocks; 2) enhancing competitiveness and improving market access for local farmers and SMEs, and 3) incorporating externalities in international trade. The latter requires collective international action.