bluuebunny/crossref_metadata_2025_split huggingface dataset:
Synthesis of a novel isotopically labelled standard for quantification of γ-nonalactone in New Zealand Pinot noir via SIDA-SPE-GC–MS
Authors: Miller Gillean C. , Barker David , Pilkington Lisa I. , Deed Rebecca C. 
Published: June 2023

Abstractγ-Nonalactone is a linear aliphatic lactone ubiquitous in wine, associated with coconut, sweet, and stone fruit aroma descriptors. Little research has been conducted looking at the importance of this compound to New Zealand (NZ) wine aroma. 2H213C2-γ-Nonalactone, a novel isotopologue of γ-nonalactone, was synthesised in this work for use in a stable isotope dilution assay (SIDA) for quantification of γ-nonalactone in NZ Pinot noir wines for the first time. Synthesis was carried out using heptaldehyde as the starting material, and 13C atoms and 2H atoms were introduced via Wittig olefination and deuterogenation steps, respectively. The suitability of this compound as an internal standard was demonstrated by spiking model wine at normal and elevated conditions during sample preparation, with subsequent analysis via mass spectrometry showing stability of 2H213C2-γ-nonalactone. A model wine calibration, with concentrations of γ-nonalactone from 0 to 100 µg L−1, was shown to have excellent linearity (R2 > 0.99), reproducibility (0.72%), and repeatability (0.38%). Twelve NZ Pinot noir wines, representative of a range of NZ Pinot noir–producing regions, prices, and vintages, were analysed by solid-phase extraction–gas chromatography–mass spectrometry (SPE-GC–MS). The concentrations of γ-nonalactone ranged from 8.3 to 22.5 µg L−1, the latter of which was close to the odour detection threshold of this compound. These findings provide a basis for further research into γ-nonalactone and its impact on NZ Pinot noir aroma and provide a robust method for the quantification of this compound in Pinot noir.
Graphical abstract
Multifocal osteoclast-rich tumour in Paget bone disease and conventional giant cell tumour, two genetically distinct entities? Sequencing from a single case
Authors: Haefliger Simon , Bubbear Judith , Davies Christropher , Cottone Lucia , Amary Fernanda , Tirabosco Roberto , Cortes-Ciriano Isidro , O’Donnell Paul , Flanagan Adrienne M 
Published: June 2023

AbstractPaget disease of bone is a metabolic disorder with a strong genetic component, characterised by pronounced disorganised bone remodelling. Complications of this disease include an increased risk of developing bone neoplasms. Here, we describe the case of a 60-year-old Italian patient with Paget disease of bone, presenting with an osteoclast-rich tumour. Our analysis of this entity, based on the clinical, morphological and genetic data (whole exome sequencing), suggests that osteoclast-rich lesions in Paget disease of bone are genetically distinct from classical giant cell tumour of bone. We discuss the importance of differentiating these osteoclast-rich lesions.
Enhanced kinship verification analysis based on color and texture handcrafted techniques
Authors: Nader Nermeen , EL-Gamal Fatma EL-Zahraa A. , Elmogy Mohammed 
Published: June 2023

AbstractNowadays, kinship verification is an attractive research area within computer vision. It significantly affects applications in the real world, such as finding missing individuals and forensics. Despite the importance of this research topic, it still faces many challenges, such as low accuracy and illumination variations. Due to the existence of different classes of feature extraction techniques, different types of information can be extracted from the input data. Moreover, the fusion power produces complementary information that can address kinship verification problems. Therefore, this paper proposes a new approach for verifying kinship by fusing features from different perspectives, including color-texture and color features in different color spaces. Besides using promising methods in the field, such as local binary pattern (LBP) and scale-invariant feature transform (SIFT), the paper utilizes other feature extraction methods, which are heterogeneous auto-similarities of characteristics (HASC), color correlogram (CC), and dense color histogram (DCH). As far as we know, these features haven’t been employed before in this research area. Accordingly, the proposed approach goes into six stages: preprocessing, feature extraction, feature normalization, feature fusion, feature representation, and kinship verification. The proposed approach was evaluated on the KinFaceW-I and KinFaceW-II field standard datasets, achieving maximum accuracy of 79.54% and 90.65%, respectively. Compared with many state-of-the-art approaches, the results of the proposed approach reflect the promising achievements and encourage the authors to plan for future enhancement.
Enclosing Depth and Other Depth Measures
Authors: Schnider Patrick 
Published: June 2023

AbstractWe study families of depth measures defined by natural sets of axioms. We show that any such depth measure is a constant factor approximation of Tukey depth. We further investigate the dimensions of depth regions, showing that the Cascade conjecture, introduced by Kalai for Tverberg depth, holds for all depth measures which satisfy our most restrictive set of axioms, which includes Tukey depth. Along the way, we introduce and study a new depth measure called enclosing depth, which we believe to be of independent interest, and show its relation to a constant-fraction Radon theorem on certain two-colored point sets.
Cost-utility analysis of a supervised exercise intervention for women with early-stage endometrial cancer
Authors: Wang Yufan , McCarthy Alexandra L , Tuffaha Haitham 
Published: June 2023

Abstract
Purpose
Cardiovascular disease (CVD) is the leading cause of death after treatment for endometrial cancer (EC). There is clinical evidence that exercise significantly reduces the risks of CVD and cancer recurrence in this population; however, it is unclear whether there is value for money in integrating exercise into cancer recovery care for women treated for EC. This paper assesses the long-term cost-effectiveness of a 12-week supervised exercise intervention, as compared with standard care, for women diagnosed with early-stage EC.

Method
A cost-utility analysis was conducted from the Australian health system perspective for a time horizon of 5 years. A Markov cohort model was designed with six mutually exclusive health states: (i) no CVD, (ii) post-stroke, (iii) post-coronary heart disease (CHD), (iv) post-heart failure, (v) post-cancer recurrence, and (vi) death. The model was populated using the best available evidence. Costs and quality-adjusted life years (QALYs) were discounted at 5% annual rate. Uncertainty in the results was explored using one-way and probabilistic sensitivity analyses (PSA).

Result
The incremental cost of supervised exercise versus standard care was AUD $358, and the incremental QALY was 0.0789, resulting in an incremental cost-effectiveness ratio (ICER) of AUD $5184 per QALY gained. The likelihood that the supervised exercise intervention was cost-effective at a willingness-to-pay threshold of AUD $50,000 per QALY was 99.5%.

Conclusion
This is the first economic evaluation of exercise after treatment for EC. The results suggest that exercise is cost-effective for Australian EC survivors. Given the compelling evidence, efforts could now focus on the implementation of exercise as part of cancer recovery care in Australia.
Anti-integrin αvβ6 autoantibodies in patients with primary sclerosing cholangitis
Authors: Yoshida Hiroyuki , Shiokawa Masahiro , Kuwada Takeshi , Muramoto Yuya , Ota Sakiko , Nishikawa Yoshihiro , Maeda Hirona , Kakiuchi Nobuyuki , Okamoto Kanako , Yamazaki Hajime , Yokode Masataka , Nakamura Takeharu , Matsumoto Shimpei , Hirano Tomonori , Okada Hirokazu , Marui Saiko , Sogabe Yuko , Matsumori Tomoaki , Mima Atsushi , Uza Norimitsu , Eso Yuji , Takai Atsushi , Takahashi Ken , Ueda Yoshihide , Kodama Yuzo , Chiba Tsutomu , Seno Hiroshi 
Published: June 2023

Abstract
Background
Patients with primary sclerosing cholangitis (PSC) possess autoantibodies against biliary epithelial cells. However, the target molecules remain unknown.

Methods
The sera of patients with PSC and controls were subjected to enzyme-linked immunosorbent assays to detect autoantibodies using recombinant integrin proteins. Integrin αvβ6 expression in the bile duct tissues was examined using immunofluorescence. The blocking activity of the autoantibodies was examined using solid-phase binding assays.

Results
Anti-integrin αvβ6 antibodies were detected in 49/55 (89.1%) patients with PSC and 5/150 (3.3%) controls (P < 0.001), with a sensitivity and specificity of 89.1% and 96.7%, respectively, for PSC diagnosis. When focusing on the presence or absence of IBD, the proportion of the positive antibodies in PSC with IBD was 97.2% (35/36) and that in PSC alone was 73.7% (14/19) (P = 0.008). Integrin αvβ6 was expressed in bile duct epithelial cells. Immunoglobulin (Ig)G from 15/33 patients with PSC blocked integrin αvβ6-fibronectin binding through an RGD (Arg–Gly–Asp) tripeptide motif.

Conclusions
Autoantibodies against integrin αvβ6 were detected in most patients with PSC; anti-integrin αvβ6 antibody may serve as a potential diagnostic biomarker for PSC.
Chimaeric plant-produced bluetongue virus particles as potential vaccine candidates
Authors: Gwynn A. , Mbewana S. , Lubisi B. A. , Tshabalala H. M. , Rybicki E. P. , Meyers A. E. 
Published: June 2023

AbstractBluetongue virus (BTV) causes bluetongue disease in ruminants and sheep. The current live attenuated and inactivated vaccines available for prevention pose several risks, and there is thus a need for vaccines that are safer, economically viable, and effective against multiple circulating serotypes. This work describes the development of recombinant virus-like particle (VLP) vaccine candidates in plants, which are assembled by co-expression of the four BTV serotype 8 major structural proteins. We show that substitution of a neutralising tip domain of BTV8 VP2 with that of BTV1 VP2 resulted in the assembly of VLPs that stimulated serotype-specific antibodies as well as virus-specific neutralising antibodies.
Age-associated polyamines in peripheral blood cells and plasma in 20 to 70 years of age subjects
Authors: Sánchez Manuel , Suárez Lorena , Banda Gabriela , Barreiro-Alonso Eva , Rodríguez-Uña Ignacio , Rubín José Manuel , Cantabrana Begoña 
Published: June 2023

AbstractDietary polyamines have been associated with slowing ageing processes and various pathologies, raising the importance of establishing reference values at different ages throughout life. This study aimed to analyse age-dependent variations in polyamine content using peripheral blood cells and plasma in a healthy and homogeneous population. Peripheral blood of 193 volunteers of both sexes (20–70 years), selected by convenience, was processed to separate cells and plasma. A pre-column derivatization method was used to determine the amines by HPLC (nmol or pmol/mg protein or nmol/ml) to analyse their association with the age (continuous or ordinal in decades) of the subjects. Putrescine and spermine weakly declined significantly in mononuclear cells with age. In erythrocytes and plasma, putrescine showed an evident decrease in the 60–70-year-old group compared to the rest. The ratios between polyamines, mainly in erythrocytes, decreased in the 60–70 years age group and increased the ratio of putrescine in mononuclear cells/erythrocytes. The ratio of putrescine in mononuclear cells/erythrocytes was higher in the 60–70-year-old age group than in the rest. In a sample of subjects (20–29 vs. 60–70 years), whole blood polyamines were not significantly different when differences existed in erythrocytes. Polyamine homeostasis in blood cells and plasma changed with age. Putrescine declined in mononuclear cells and decreased in erythrocytes and plasma in the decade of the 60 s. Further studies should establish an age-dependent phenotype and whether polyamines’ supplementation could restore the decreased values and be associated with long-term overall biological benefits.
On the Existence of a Preserved Ontology Posited by a High-Dimensional Bohmian Interpretation
Authors: Manero Jorge 
Published: June 2023

AbstractIt has been argued that in the context of Bohm’s approach to quantum mechanics, the postulation of a three-dimensional ontology (as opposed to a high-dimensional one) is presumed to be the only interpretation that may reliably support object-oriented realism by virtue of the fact that this ontology is approximately preserved through scientific change, at least in the classical–quantum transition. Based on an interpretative analysis of the Bohmian formulation, I shall critically evaluate the tenability of this argument. In so doing, I shall argue that this formulation admits the postulation of an alternative ontology that is properly defined in a high-dimensional space, and is approximately preserved among this transition. As a result, both the three-dimensional and the high-dimensional worldviews shall form the basis of an equally reliable endorsement of object-oriented realism in the context of the Bohmian framework. I shall conclude that this argument becomes a problem of metaphysical underdetermination between a three and a high-dimensional Bohmian interpretation.
Social identity threat is related to ethnic minority adolescents’ social approach motivation towards classmates via reduced sense of belonging
Authors: Froehlich Laura , Bick Nathalie , Nikitin Jana , Martiny Sarah E. 
Published: June 2023

AbstractThe integration of ethnic minority youth can only be successful if they are motivated to establish and maintain social relationships in important institutions such as school. At the same time, worries about negative stereotypes about one’s ethnic group can undermine ethnic minority students’ motivation to approach others. In the present study, we tested whether social identity threat predicts ethnic minority adolescents’ social approach motivation via reduced sense of belonging. We also examined whether multiple social identities (i.e., high endorsement of ethnic and national idenitiy) buffer against the negative effects of social identity threat. In a sample of 426 ethnic minority students from 36 9th -grade classes in Germany, social identity threat was indirectly related to social approach motivation via reduced sense of belonging to the school and class. The interplay of students’ ethnic and national identity moderated the relationship of social identity threat and sense of belonging. The relationship was particularly negative for students who endorsed either ethnic or national identity. However, it was less negative for students with integrated multiple social identities and non-significant for students who identified neither with the ethnic nor the national group. Results generalized for social approach motivation towards ethnic majority and minority classmates. These patterns were only found for social approach motivation in face-to-face contact situations, but not in online situations. We discuss these findings in light of the literature on social identity threat and multiple social identities. Practical implications include measures to foster students’ sense of belonging and to reduce social identity threat.
Interactive agential dynamics
Authors: Brancazio Nick 
Published: June 2023

AbstractThe study of active matter systems demonstrates how interactions might co-constitute agential dynamics. Active matter systems are comprised of self-propelled independent entities which, en masse, take part in complex and interesting collective group behaviors at a far-from-equilibrium state (Menon, 2010; Takatori & Brady, 2015). These systems are modelled using very simple rules (Vicsek at al. 1995), which reveal the interactive nature of the collective behaviors seen from humble to highly complex entities. Here I show how the study of active matter systems supports two related proposals regarding interaction and agency. First, I argue that the study of interactive dynamics in these systems evidences the utility of treating interaction as an ontological category (Longino, 2021) and challenges methodological individualism as the received explanatory primitive in the study of agency. Second, the methods used to research active matter systems demonstrate how a minimal approach to agency can scale up in studying interactive agential dynamics in more complex systems. The examples of coordination dynamics (Kelso, 2001) and participatory sense-making (De Jaegher & Di Paolo, 2007) are provided to show how understanding agency requires us to look beyond the individuals to the interactive agential dynamics that can guide, scaffold, or constrain their activity.
SSDLog: a semi-supervised dual branch model for log anomaly detection
Authors: Lu Siyang , Han Ningning , Wang Mingquan , Wei Xiang , Lin Zaichao , Wang Dongdong 
Published: June 2023

AbstractWith versatility and complexity of computer systems, warning and errors are inevitable. To effectively monitor system’s status, system logs are critical. To detect anomalies in system logs, deep learning is a promising way to go. However, abnormal system logs in the real world are often difficult to collect, and effectively and accurately categorize the logs is an even time-consuming project. Thus, the data incompleteness is not conducive to the deep learning for this practical application. In this paper, we put forward a novel semi-supervised dual branch model that alleviate the need for large scale labeled logs for training a deep system log anomaly detector. Specifically, our model consists of two homogeneous networks that share the same parameters, one is called weak augmented teacher model and the other is termed as strong augmented student model. In the teacher model, the log features are augmented with small Gaussian noise, while in the student model, the strong augmentation is injected to force the model to learn a more robust feature representation with the guidance of teacher model provided soft labels. Furthermore, to further utilize unlabeled samples effectively, we propose a flexible label screening strategy that takes into account the confidence and stability of pseudo-labels. Experimental results show favorable effect of our model on prevalent HDFS and Hadoop Application datasets. Precisely, with only 30% training data labeled, our model can achieve the comparable results as the fully supervised version.
Bibliometrically mapping the research field of entrepreneurial communication: where we stand and where we need to go
Authors: Kaiser Manuel , Kuckertz Andreas 
Published: June 2023

AbstractEntrepreneurial communication is vital for acquiring resources and building stakeholder relations in startups. This research stream has grown rapidly in recent years and has developed as a multidisciplinary field at the interface of communication and entrepreneurship. However, this rapid development and the plethora of associated perspectives have led to a diverse and fragmented research field with different foci and concepts, making structural overviews difficult. Against this background, we conducted a bibliometric analysis to uncover the hidden structure of previous entrepreneurial communication research and to guide scholars toward a future research agenda. First, we identified 383 articles via the Scopus database, published in 245 academic sources, that covered nearly 50 years of research. We then connected the results of previous research using co-occurrence analysis and a thematic map to highlight the intellectual structure of the field and offer insights into its research clusters. Our algorithmic historiographic analysis illustrates the development of the field over time and highlights upcoming topics. Overall, entrepreneurial communication is crucial, particularly for startups engaging in resource acquisition for employee and investor relations with venture capitalists and business angels.
Designing Weights for Quartet-Based Methods When Data are Heterogeneous Across Lineages
Authors: Casanellas Marta , Fernández-Sánchez Jesús , Garrote-López Marina , Sabaté-Vidales Marc 
Published: June 2023

AbstractHomogeneity across lineages is a general assumption in phylogenetics according to which nucleotide substitution rates are common to all lineages. Many phylogenetic methods relax this hypothesis but keep a simple enough model to make the process of sequence evolution more tractable. On the other hand, dealing successfully with the general case (heterogeneity of rates across lineages) is one of the key features of phylogenetic reconstruction methods based on algebraic tools. The goal of this paper is twofold. First, we present a new weighting system for quartets () based on algebraic and semi-algebraic tools, thus especially indicated to deal with data evolving under heterogeneous rates. This method combines the weights of two previous methods by means of a test based on the positivity of the branch lengths estimated with the paralinear distance. is statistically consistent when applied to data generated under the general Markov model, considers rate and base composition heterogeneity among lineages and does not assume stationarity nor time-reversibility. Second, we test and compare the performance of several quartet-based methods for phylogenetic tree reconstruction (namely QFM, wQFM, quartet puzzling, weight optimization and Willson’s method) in combination with several systems of weights, including weights and other weights based on algebraic and semi-algebraic methods or on the paralinear distance. These tests are applied to both simulated and real data and support weight optimization with weights as a reliable and successful reconstruction method that improves upon the accuracy of global methods (such as neighbor-joining or maximum likelihood) in the presence of long branches or on mixtures of distributions on trees.
Prevalence and factors associated with cancer-related fatigue in Swiss adult survivors of childhood cancer
Authors: Sláma Tomáš , Belle Fabiën N. , Strebel Sven , Christen Salome , Hägler-Laube Eva , Rössler Jochen , Kuehni Claudia E. , von der Weid Nicolas X. , Schindera Christina 
Published: June 2023

Abstract
Purpose
Reported prevalence of cancer-related fatigue (CRF) among childhood cancer survivors (CCS) varies widely, and evidence on factors associated with CRF among CCS is limited. We aimed to investigate the prevalence of CRF and its associated factors among adult CCS in Switzerland.

Methods
In a prospective cohort study, we invited adult CCS who survived at least 5 years since last cancer diagnosis, and were diagnosed when age 0–20 years and treated at Inselspital Bern between 1976 and 2015 to complete two fatigue-measuring instruments: the Checklist Individual Strength subjective fatigue subscale (CIS8R; increased fatigue 27–34, severe fatigue ≥ 35) and the numerical rating scale (NRS; moderate fatigue 4–6, severe fatigue 7–10). We collected information about previous cancer treatment and medical history, and calculated β coefficients for the association between CIS8R/NRS fatigue scores and potential determinants using multivariable linear regression.

Results
We included 158 CCS (participation rate: 30%) with a median age at study of 33 years (interquartile range 26–38). Based on CIS8R, 19% (N = 30) of CCS reported increased fatigue, yet none reported severe fatigue. CRF was associated with female sex, central nervous system (CNS) tumors, sleep disturbance, and endocrine disorders. Lower CRF levels were observed among CCS age 30–39 years compared to those younger.

Conclusions
A considerable proportion of adult CCS reported increased levels of CRF.

Implications for Cancer Survivors
CCS who are female and < 30 years old, have a history of CNS tumor, report sleep disturbance, or have an endocrine disorder should be screened for CRF.