bluuebunny/crossref_metadata_2025_split huggingface dataset:
Layers of Shame: The Impact of Shame in Lesbian and Queer Victim-Survivors’ Accounts of Violence and Help-seeking
Authors: Ovesen Nicole 
Published: August 2023

Abstract
Purpose
The journey from shame to pride has been described as a founding and essential part of the modern LGBTQ movement. However, the tendency to treat shame as something that belongs to the past has been criticized by a number of queer theorists. The struggle to secure equal rights through normalization has also meant that certain topics that risk demonizing and stigmatizing LGBTQ people further have been neglected. Intimate partner violence (IPV) in queer relationships is one such topic. This paper explores a new perspective on queer shame through the topic of IPV in lesbian and queer relationships.

Methods
Drawing on qualitative interviews with 25 people who have experienced violence in intimate lesbian/queer relationships in Sweden, this paper unpacks the concept of shame in empirical data to examine how shame operates on different levels when it comes to victimization and how it affects the help-seeking processes of such victim-survivors.

Results
Many of the interviewees expressed that they continued to feel ashamed about their denial of violence or their own reactions to the abuse even years after the relationship had ended. An additional layer of shame and secrecy affected the violence and help-seeking processes for the interviewees’ who lacked support from their social networks or who were not open about being in a queer relationship. The interviewees’ accounts also contained strategies to resist and manage shame.

Conclusions
The theoretical and empirical contributions of this paper sheds new light on how shame, victimization and queerness are entangled in the case of IPV.
Identification of nonlinear conservation laws for multiphase flow based on Bayesian inversion
Authors: Evje Steinar , Skadsem Hans Joakim , Nævdal Geir 
Published: August 2023

AbstractConservation laws of the generic form $$c_t+f(c)_x=0$$

c
t

+
f

(
c
)

x

=
0

play a central role in the mathematical description of various engineering related processes. Identification of an unknown flux function f(c) from observation data in space and time is challenging due to the fact that the solution c(x, t) develops discontinuities in finite time. We explore a Bayesian type of method based on representing the unknown flux f(c) as a Gaussian random process (parameter vector) combined with an iterative ensemble Kalman filter (EnKF) approach to learn the unknown, nonlinear flux function. As a testing ground, we consider displacement of two fluids in a vertical domain where the nonlinear dynamics is a result of a competition between gravity and viscous forces. This process is described by a multidimensional Navier–Stokes model. Subject to appropriate scaling and simplification constraints, a 1D nonlinear scalar conservation law $$c_t+f(c)_x=0$$

c
t

+
f

(
c
)

x

=
0

can be derived with an explicit expression for f(c) for the volume fraction c(x, t). We consider small (noisy) observation data sets in terms of time series extracted at a few fixed positions in space. The proposed identification method is explored for a range of different displacement conditions ranging from pure concave to highly non-convex f(c). No a priori information about the sought flux function is given except a sound choice of smoothness for the a priori flux ensemble. It is demonstrated that the method possesses a strong ability to identify the unknown flux function. The role played by the choice of initial data $$c_0(x)$$

c
0

(
x
)

as well various types of observation data is highlighted.
Active Uptake of Oxycodone at Both the Blood-Cerebrospinal Fluid Barrier and The Blood-Brain Barrier without Sex Differences: A Rat Microdialysis Study
Authors: Bällgren Frida , Hammarlund-Udenaes Margareta , Loryan Irena 
Published: August 2023

Abstract
Background
Oxycodone active uptake across the blood-brain barrier (BBB) is associated with the putative proton-coupled organic cation (H+/OC) antiporter system. Yet, the activity of this system at the blood-cerebrospinal fluid barrier (BCSFB) is not fully understood. Additionally, sex differences in systemic pharmacokinetics and pharmacodynamics of oxycodone has been reported, but whether the previous observations involve sex differences in the function of the H+/OC antiporter system remain unknown. The objective of this study was, therefore, to investigate the extent of oxycodone transport across the BBB and the BCSFB in female and male Sprague-Dawley rats using microdialysis.

Methods
Microdialysis probes were implanted in the blood and two of the following brain locations: striatum and lateral ventricle or cisterna magna. Oxycodone was administered as an intravenous infusion, and dialysate, blood and brain were collected. Unbound partition coefficients (Kp,uu) were calculated to understand the extent of oxycodone transport across the blood-brain barriers. Non-compartmental analysis was conducted using Phoenix 64 WinNonlin. GraphPad Prism version 9.0.0 was used to perform t-tests, one-way and two-way analysis of variance followed by Tukey’s or Šídák’s multiple comparison tests. Differences were considered significant at p < 0.05.

Results
The extent of transport at the BBB measured in striatum was 4.44 ± 1.02 (Kp,uu,STR), in the lateral ventricle 3.41 ± 0.74 (Kp,uu,LV) and in cisterna magna 2.68 ± 1.01 (Kp,uu,CM). These Kp,uu values indicate that the extent of oxycodone transport is significantly lower at the BCSFB compared with that at the BBB, but still confirm the presence of active uptake at both blood-brain interfaces. No significant sex differences were observed in neither the extent of oxycodone delivery to the brain, nor in the systemic pharmacokinetics of oxycodone.

Conclusions
The findings clearly show that active uptake is present at both the BCSFB and the BBB. Despite some underestimation of the extent of oxycodone delivery to the brain, CSF may be an acceptable surrogate of brain ISF for oxycodone, and potentially also other drugs actively transported into the brain via the H+/OC antiporter system.
Thermal degradation of Affinisol HPMC: Optimum Processing Temperatures for Hot Melt Extrusion and 3D Printing
Authors: Svoboda Roman , Nevyhoštěná Marie , Macháčková Jana , Vaculík Jan , Knotková Kateřina , Chromčíková Maria , Komersová Alena 
Published: August 2023

Abstract
Purpose
Affinisol HPMC HME is a new popular form of hypromellose specifically designed for the hot melt extrusion and 3D printing of pharmaceutical products. However, reports of its thermal stability include only data obtained under inert N2 atmosphere, which is not consistent with the common pharmaceutical practice. Therefore, detailed investigation of its real-life thermal stability in air is paramount for identification of potential risks and limitations during its high-temperature processing.

Methods
In this work, the Affinisol HPMC HME 15LV powder as well as extruded filaments will be investigated by means of thermogravimetry, differential scanning calorimetry and infrared spectroscopy with respect to its thermal stability.

Results
The decomposition in N2 was proceeded in accordance with the literature data and manufacturer’s specifications: onset at ~260°C at 0.5°C·min−1, single-step mass loss of 90–95%. However, in laboratory or industrial practice, high-temperature processing is performed in the air, where oxidation-induced degradation drastically changes. The thermogravimetric mass loss in air proceeded in three stages: ~ 5% mass loss with onset at 150°C, ~ 70% mass loss at 200°C, and ~ 15% mass loss at 380°C. Diffusion of O2 into the Affinisol material was identified as the rate-determining step.

Conclusion
For extrusion temperatures ≥170°C, Affinisol exhibits a significant degree of degradation within the 5 min extruder retention time. Hot melt extrusion of pure Affinisol can be comfortably performed below this temperature. Utilization of plasticizers may be necessary for safe 3D printing.
Laboratory μ-X-ray fluorescence elemental mapping of herbarium specimens for hyperaccumulator studies
Authors: van der Ent Antony , Casey Lachlan W. , Purwadi Imam , Erskine Peter D. 
Published: August 2023

Abstract
Background and aims
An innovative approach “Herbarium Ionomics” used a handheld X-ray fluorescence (XRF) device to non-destructively extract quantitative elemental data (i.e., the metallome) from herbarium specimens. This has led to the discovery of numerous hyperaccumulator plants. Once a new hyperaccumulator is identified through XRF screening, the next step is to verify whether this is in fact ‘real’ as there are numerous causes for anomalous measurements caused by artefacts.

Methods
Here we report on the use of a scanning μ-XRF for herbarium specimens to answer the question whether the abnormal concentrations of a particular element truly represent hyperaccumulation as well as reveal broad patterns of elemental distribution to provide the first hints at the ecophysiology of the hyperaccumulated element.

Results and conclusions
The use of μ-XRF analysis of herbarium specimens can form the starting point for further studies using specimens properly prepared for micro-analytical investigations.
Exact values and lower bounds on the n-color weak Schur numbers for $$n=2,3$$
Authors: Ahmed T. , Boza L. , Revuelta M. P. , Sanz M. I. 
Published: August 2023

AbstractFor integers k, n with k, $$n \geqslant 1$$

n
⩾
1

, the n-color weak Schur number$$W\hspace{-0.6mm}S_{k}(n)$$

W

S
k

(
n
)

is defined as the least integer N, such that for every n-coloring of the integer interval [1, N], there exists a monochromatic solution $$x_{1},\dots , x_{k}, x_{k+1}$$

x
1

,
⋯
,

x
k

,

x

k
+
1

in that interval to the equation: $$\begin{aligned} x_{1}+x_{2}+\dots +x_{k} =x_{k+1}, \end{aligned}$$

x
1

+

x
2

+
⋯
+

x
k

=

x

k
+
1

,

with $$x_{i} \ne x_{j}$$

x
i

≠

x
j

, when $$i\ne j.$$

i
≠
j
.

In this paper, we obtain the exact values of $$WS_{6}(2)=166$$

W

S
6

(
2
)

=
166

, $$WS_{7}(2)=253$$

W

S
7

(
2
)

=
253

, $$WS_{3}(3)=94$$

W

S
3

(
3
)

=
94

and $$WS_{4}(3)=259$$

W

S
4

(
3
)

=
259

and we show new lower bounds on n-color weak Schur number $$W\hspace{-0.6mm}S_{k}(n)$$

W

S
k

(
n
)

for $$n=2,3.$$

n
=
2
,
3
.
Embedding models for supervised automatic extraction and classification of named entities in scientific acknowledgements
Authors: Smirnova Nina , Mayr Philipp 
Published: August 2023

AbstractAcknowledgments in scientific papers may give an insight into aspects of the scientific community, such as reward systems, collaboration patterns, and hidden research trends. The aim of the paper is to evaluate the performance of different embedding models for the task of automatic extraction and classification of acknowledged entities from the acknowledgment text in scientific papers. We trained and implemented a named entity recognition (NER) task using the flair NLP framework. The training was conducted using three default Flair NER models with four differently-sized corpora and different versions of the flair NLP framework. The Flair Embeddings model trained on the medium corpus with the latest FLAIR version showed the best accuracy of 0.79. Expanding the size of a training corpus from very small to medium size massively increased the accuracy of all training algorithms, but further expansion of the training corpus did not bring further improvement. Moreover, the performance of the model slightly deteriorated. Our model is able to recognize six entity types: funding agency, grant number, individuals, university, corporation, and miscellaneous. The model works more precisely for some entity types than for others; thus, individuals and grant numbers showed a very good F1-Score over 0.9. Most of the previous works on acknowledgment analysis were limited by the manual evaluation of data and therefore by the amount of processed data. This model can be applied for the comprehensive analysis of acknowledgment texts and may potentially make a great contribution to the field of automated acknowledgment analysis.
Don't put the greatest pressure on the weakest
Authors: Ellinger Jan 
Published: August 2023

AbstractShortcomings in the area of open-access publishing are repeatedly criticized and discussed in the scientific community. Meanwhile, there are initiatives such as the DORA declaration, which aim to implement improvement and sustainability at specific points of the system. Regrettably, it can be observed at the same time that corresponding intentions are only partially realized. Simultaneously, status groups such as Ph.D. students, which are comparatively low in the science system, bear a burden or dilemma: All too often, they have to choose between improving their own career prospects and what can be called sustainable and good scientific practice. However, such decisions should not be imposed on those who hold a lower and insecure position in the scientific system. Rather, decision-makers at scientific institutions must finally begin to implement the DORA recommendations consistently or renounce them.
A proposed framework to develop nutrient profiling algorithms for assessments of sustainable food: the metrics and their assumptions matter
Authors: Green Ashley , Nemecek Thomas , Mathys Alexander 
Published: August 2023

Abstract
Purpose
To holistically assess the sustainability of our global and local food systems, we need methods that combine environmental and nutritional/health dimensions. One option is nutritional life cycle assessment in which a nutrient or health metric is incorporated into standard environmental life cycle assessment. Measuring nutritional and environmental outcomes in tandem can help elucidate new results that can aid farmers, policymakers, industry, and consumers in transitioning to a food system that is more beneficial for our planet and our health. However, the development of nutrient profiling metrics is still ongoing; thus, we develop and test, with case studies, the “points of differentiation” framework to guide the use of these algorithms in sustainability analyses.

Methods
For each of these “points” in the framework, we provide the current state-of-the-art based on the literature and then offer new insights and recommendations for their use; we do this for different food levels (i.e., production systems, food items, and diets/food supply). We provide an explicit framework for nutrient adequacy metrics, while discussing the framework’s relevance to nutrient diversity and quality metrics. We also test the “points” in this framework using case studies that examine select foods representative of a diet.

Results
Based on our review, the “points” in this framework to consider include capping, weighting, energy standardization, across-the-board versus group-specific, dietary- and/or context-specific, validation, disqualifying nutrients (e.g., saturated fat), reference amount, processing quality, selection of nutrients/ingredients, interpretation, and data quality. Based on changes in nutrient density scores and rankings, Spearman rank correlations, and Wilcoxon signed rank p-values, the “points” that have the largest effect are energy standardization, dietary specificities when assessing nutrient indices in isolation, as well as capping and disqualifying nutrients, depending on how these are applied. We hope our proposed “points of differentiation” framework can provide new insights into this quickly evolving space by offering structure to improve standardization and transparency.

Conclusion
The framework provides recommendations for select “points;” nevertheless, there are still many open areas in nutritional life cycle assessment, including food functionality (e.g., processing effects, interaction factors, and bioavailability) and methodological questions related to the use of disqualifying nutrients and interpretation. Moreover, future work should focus on the role of “points” with respect to validation and differences within food groups.
Diversity of hyperparasitic fungi on Meliolales (Sordariomycetes, Ascomycota): new species, records, and molecular data from Benin and Panama
Authors: Bermúdez-Cova Miguel A. , Krauß Anna , Sanjur Alicia , Tabé Affoussatou , Hofmann Tina A. , Yorou Nourou S. , Piepenbring Meike 
Published: August 2023

AbstractMeliolales (black mildews) is an order of plant parasitic ascomycetous fungi in the tropics and subtropics. They are frequently overgrown and parasitized by other fungi, known as hyperparasites. During the last few years, species of hyperparasitic fungi on Meliolales have been collected in Benin and Panama. A new species of Paranectria and seven new reports of hyperparasites of different systematic groups are presented here with detailed descriptions and illustrations, together with new data concerning fungal hosts and host plants. The new species is called Paranectria longiappendiculata, characterized by exceptionally long appendages carried by the ascospores. New records for Benin and Panama are Calloriopsis herpotricha, Dimerosporiella cephalosporii, Isthmospora glabra, Isthmospora trichophila, Malacaria meliolicola, Paranectriella hemileiae, and Paranectriella minuta. Calloriopsis herpotricha is recorded for Africa and D. cephalosporii and P. hemileiae for America for the first time, suggesting an apparently pantropical distribution. Findings show a blatant lack of investigation on hyperparasitic fungi in the tropics. The phylogenetic positions of three of these newly reported species, C. herpotricha, D. cephalosporii, and P. minuta, are shown based on the analysis of internal transcribed spacer (ITS), large subunit (LSU), and small subunit (SSU) rDNA sequences. These sequences were generated in the context of the present study for the first time.
Drop in, drop out, or stay on: Patterns and predictors of panel attrition among young people
Authors: Malschinger Paul , Vogl Susanne , Schels Brigitte 
Published: August 2023

AbstractLongitudinal transition studies are central to youth research but face particular challenges owing to panel attrition. While adolescents can be easily reached through institutions, their lives change after they leave school. Consequently, keeping them in further panel waves becomes more difficult. This methodological paper explores factors that are related to different patterns of panel attrition. In addition to general factors of survey participation associated with socio-demographic variables, such as gender and social background, we also consider aspects related to the survey topic which could influence patterns of attrition, such as career choice, and the survey experience (i.e., the evaluation of the questionnaire in the first wave). We use data from a five-wave panel study with young people in Vienna. About 3000 respondents participated in the first survey wave during their last year in general-track secondary school (2017–2018 academic year), and they were then surveyed annually over the next four years (2019–2022). We find that a group of respondents remain continuously in the panel, while some drop out permanently at some point and others drop out temporarily but drop in again later. Based on logistic regression models, the results show that gender, migration background, parental occupational status, and school grades are related to patterns of attrition. The survey experience in the first wave is partly related to these factors. Our results can inform future studies regarding causes for and consequences of panel attrition.
Analysis of the Anti-corrosion Performance of Dodecyl Benzene Sulfonic Acid Sodium Salt on Various Heat-Treated Dual-Phase EN8 Steel in an Acidic Environment
Authors: Prabhu Deepa , Jomy Jilna , Prabhu P. R. 
Published: August 2023

AbstractThis work focuses on the investigation of the corrosion inhibition of heat-treated EN8 steel in the presence of sodium salt of dodecyl benzene sulfonic acid in 0.5 M H2SO4 using the Gravimetric and Electrochemical methods. Austenitizing is performed at 700, 750, 790, and 900 °C for 2 h followed by quenching in water. When the heat-treated metal is exposed to 0.5 M H2SO4 at the temperature of 30, 40, 50, and 60 °C in the presence of dodecyl benzene sulfonic acid sodium salt inhibitor, the corrosion inhibition increased with different heat treatment conditions depending on the phase change. This work investigates the activation and adsorption isotherm parameters. The adsorption isotherms were used to estimate Gibb's free energy change. The inhibition efficiency increased with inhibitor concentration and decreased with temperatures. Out of all the isotherms examined, the Langmuir adsorption isotherm produced the best-fit results, according to the adsorption study. Corrosion and inhibition on the metal's surface were confirmed by surface characterization.
PDGFRA, KIT, and KDR Gene Amplification in Glioblastoma: Heterogeneity and Clinical Significance
Authors: Carlotto Bianca Soares , Trevisan Patricia , Provenzi Valentina Oliveira , Soares Fabiano Pasqualotto , Rosa Rafael Fabiano Machado , Varella-Garcia Marileila , Zen Paulo Ricardo Gazzola 
Published: August 2023

AbstractGlioblastoma (GBM) is the most frequent tumor of the central nervous system, and its heterogeneity is a challenge in treatment. This study examined tumoral heterogeneity involving PDGFRA, KIT, and KDR gene amplification (GA) in 4q12 and its association with clinical parameters. Specimens from 22 GBM cases with GA for the 4q12 amplicon detected by FISH were investigated for homogeneous or heterogeneous coamplification patterns, diffuse or focal distribution of cells harboring GA throughout tumor sections, and pattern of clustering of fluorescence signals. Sixteen cases had homogenously amplification for all three genes (45.5%), for PDGFRA and KDR (22.7%), or only for PDGFRA (4.6%); six cases had heterogeneous GA patterns, with subpopulations including GA for all three genes and for two genes - PDGFRA and KDR (13.6%), or GA for all three and for only one gene - PDGFRA (9.1%) or KIT (4.6%). In 6 tumors (27.3%), GA was observed in focal tumor areas, while in the remaining 16 tumors (72.7%) it was diffusely distributed throughout the pathological specimen. Amplification was universally expressed as double minutes and homogenously stained regions. Coamplification of all three genes PDGFRA, KIT, and KDR, age ≥ 60 years, and total tumor resection were statistically associated with poor prognosis. FISH proved effective for detailed interpretation of molecular heterogeneity. The study uncovered an even more diverse range of amplification patterns involving the 4q12 oncogenes in GBM than previously described, thus highlighting a complex tumoral heterogeneity to be considered when devising more effective therapies.