bluuebunny/crossref_metadata_2025_split huggingface dataset:
Resin yield response to different tapping methods and stimulant pastes in Pinus pinaster Ait
Authors: López-Álvarez Óscar , Zas Rafael , Martínez Enrique , Marey-Perez Manuel 
Published: June 2023

AbstractSelecting the best resin tapping method and stimulant paste in the resin tapping process is crucial. In timber-oriented rainy Atlantic pine forests of north-west Spain, the interest in resin tapping is raising but information on the best tapping methods and pastes is still lacking. In this study, an appropriate experimental design used on five representative plots of Pinus pinaster, allowed us to explore the resin productive differences between two tapping methods (traditional Spanish method and circular groove) and three stimulant treatments (control, Ethephon and ASACIF). The use of a standardized measure of resin yield allowed to adequately compare methods differing in groove length. Results indicated that the standard resin yield was 1.43 times greater with the traditional method than with the circular groove method. The two stimulant pastes drastically increased resin yield (up to sixfold) in all sites and for all tapping methods. The effectiveness of the paste was also influenced by the tapping method, obtaining greater increases in resin yield after the application of stimulant paste in trees with the circular groove method. Resin yield was only slightly related to the dasometric variables and varied among test sites when no pastes were used, but differences among sites disappeared when stimulant pastes were used. Our results contribute to the understanding of the factors involved in resin performance and the technological development of the sector.
Impact of shared decision making on healthcare in recent literature: a scoping review using a novel taxonomy
Authors: Wehking Felix , Debrouwere Marie , Danner Marion , Geiger Friedemann , Buenzen Claudia , Lewejohann Jan-Christoph , Scheibler Fueloep 
Published: June 2023

Abstract
Background
Numerous articles and reviews discussed the effects of shared decision making (SDM) on concept-specific and direct outcomes, showing great variety in methodology and results.

Objectives
This scoping review accentuates effects of shared decision making interventions on more distal and distant outcomes related to the healthcare experience of patients and physicians, the economy and treatment parameters.

Eligibility criteria
The search considered randomized controlled trials (RCTs), their secondary analyses and follow-up reports comparing shared decision making interventions against control conditions.

Sources of evidence
MEDLINE (through PubMed) and reference lists of included articles were systematically appraised.

Charting methods
First, relevant outcome effects were extracted following the authors’ conclusions. Second, all outcomes were sorted into one of five different effect levels: individual, interactional, organizational, systemic and clinical.

Results
The search process identified 120 eligible reports, representing 116 randomized controlled trials and four follow-up reports with a variety in research topics, intervention types, outcome measurements and effects.
Most of the 296 extracted outcomes were reported as not affected by shared decision making (205). While some outcomes improved at least slightly (81), few tended to decline (7) or revealed mixed results (3).
Considering the five outcome effect levels, individual and clinical outcomes were reported more frequently than interactional, organizational and systemic ones. However, many individual outcomes could be counted as systemic and vice versa.

Conclusions
Shared decision making can improve distal and distant outcomes depending on the healthcare context. Individual, systemic and clinical outcomes have been more frequently appraised than interactional and organizational ones.
Single database search and limited assessment of articles’ risk of bias and effect size narrow reliability of our results.
Crosstalk of ferroptosis regulators and tumor immunity in pancreatic adenocarcinoma: novel perspective to mRNA vaccines and personalized immunotherapy
Authors: Shi Yanlong , Wang Yizhu , Dong Hui , Niu Kaiyi , Zhang Wenning , Feng Kun , Yang Rui , Zhang Yewei 
Published: June 2023

AbstractPancreatic adenocarcinoma (PAAD) is the eighth leading cause of cancer-related mortality that causes serious physical and mental burden to human. Reactive oxygen species accumulation and iron overload might enable ferroptosis-mediated cancer therapies. This study was to elusive novel ferroptosis regulator and its association with immune microenvironment and PD-L1 in PAAD. RNA-seq data and relevant information were obtained from The Cancer Genome Atlas and Genotype-Tissue Expression. The R packages “ggplot2” and “pheatmap” were used to the expression of 20 ferroptosis regulators between PAAD and normal tissues. The R package “ConsensusClusterPlus”, “survival”, “survminer”, “immunedeconv”, and TIDE algorithm performed consensus clustering, overall survival, progression-free survival, disease free survival, immune infiltration level, and immunotherapy responses between cluster 1 and cluster 2. The prognostic value was confirmed by the Kaplan–Meier curves, receiver operating characteristic curve, univariate and multivariate cox regression, and nomogram. Moreover, the relationship of FANCD2 and immunity, drug sensitivity was investigated by R package “ggstatsplot”, “immunedeconv”, “ggalluvial” and “pRRophetic”. Besides, the qRT-PCR, immunohistochemistry and western blotting detected the expression of FANCD2 in PAAD cell lines. Most ferroptosis regulators were up-regulated in PAAD, while the expression of LPCAT3, MT1G, and GLS2 was down-regulated in PAAD (P < 0.05), indicting there was a positively correlation among ferroptosis regulators. Based on clustering parameter, we identified cluster 1 and cluster 2, and cluster 2 had a better prognosis for patients with PAAD. The immune infiltration level of cluster 1 was higher in macrophage M1, myeloid dendritic cell, T cell CD4 + Th2, B cell, T cell CD8 + central memory, immune score, and microenvironment score than cluster 2 in PAAD. Moreover, FANCD2 was up-regulated in PAAD by public databases, immunohistochemistry, qRT-PCR and Western blotting, which had closely related to overall survival, immune microenvironment, and drug sensitivity. A novel crosstalk of ferroptosis exhibits a favourable prognostic performance and builds a robust theoretical foundation for mRNA vaccine and personalized immunotherapy. FANCD2 could be an effective for prognostic recognition, immune efficacy evaluation, and mRNA vaccine for patients with PAAD, providing a vital guidance for further study of regulating tumor immunity and vaccine development.
I beg to differ: how disagreement is handled in the annotation of legal machine learning data sets
Authors: Braun Daniel 
Published: June 2023

AbstractLegal documents, like contracts or laws, are subject to interpretation. Different people can have different interpretations of the very same document. Large parts of judicial branches all over the world are concerned with settling disagreements that arise, in part, from these different interpretations. In this context, it only seems natural that during the annotation of legal machine learning data sets, disagreement, how to report it, and how to handle it should play an important role. This article presents an analysis of the current state-of-the-art in the annotation of legal machine learning data sets. The results of the analysis show that all of the analysed data sets remove all traces of disagreement, instead of trying to utilise the information that might be contained in conflicting annotations. Additionally, the publications introducing the data sets often do provide little information about the process that derives the “gold standard” from the initial annotations, often making it difficult to judge the reliability of the annotation process. Based on the state-of-the-art, the article provides easily implementable suggestions on how to improve the handling and reporting of disagreement in the annotation of legal machine learning data sets.
Learner interaction with, and response to, AI-programmed automated writing evaluation feedback in EFL writing: An exploratory study
Authors: Yang Hongzhi , Gao Chuan , Shen Hui-zhong 
Published: June 2023

AbstractRecently, artificial intelligence (AI)-programmed automated writing evaluation (AWE) has attracted increasing attention in language research. Using a small data set arising from an analysis of five Chinese university-level English as a foreign language (EFL) students’ submissions, this paper examined in detail how EFL students interacted with the feedback of Pigai, the largest AI-programmed AWE in China. The analysis started with the intention of capturing the machine feedback on the five students’ submissions and the exchanges between the participants and Pigai over repeated submissions, ranging from 3 to 12 submissions. The analysis showed that the learners’ interactions with Pigai focused on error corrective feedback in the initial two submissions. In the case of one student who had 12 submissions, the non-error corrective feedback increased gradually over time, providing rich linguistic resources but without examples and contextual information. The students’ take-up rates of feedback with linguistic resources were much lower than that of error corrective and general feedback. A terrain model to map the stages and nature of student responses showed a more complete dynamic process, in which students’ responses changed from the initial mechanical responses at the discrete language level to more considered approaches in response to machine feedback. The findings of this study have implications for both language pedagogy and the future design and development of AWE for second or foreign language learning.
Play is the Base! ECEC Leaders’ Views on the Development of Digital Pedagogy
Authors: Lähdesmäki Sirkku , Maunumäki Minna , Nurmi Tommi 
Published: June 2023

AbstractThe development of digital pedagogy in early childhood education and care (ECEC) is a relevant issue. The role of the ECEC leader in initiating and leading the development of digital pedagogy is important. The aim of this study was to explore the views of ECEC leaders on digital pedagogy and its development, as little research has been done on the subject. The data was collected in the context of continuing professional development for ECEC leaders in Finland. The data consists of 39 development plans that were drawn up by the participants and it was analyzed using qualitative content analysis. The research indicates that ECEC leaders hold diverse perspectives on digital pedagogy but acknowledge the significance of leadership in fostering staff digital skills, formulating a shared strategy, and involving children and the community. The findings suggest that digital pedagogy should be an inherent component of the fundamental mission of ECEC, which centers around play-based learning. The concept of play-based digital pedagogy (PBDP) is proposed as a framework for digital learning in ECEC.
Analytical Solution for Rock Discontinuity Prediction Without Stereonet
Authors: To Peter , Sivakugan Nagaratnam 
Published: June 2023

AbstractStereographic projection has been used in Rock Engineering for decades to represent rock mass discontinuities in graphical form and to carry out further stability analysis. Currently, there are computer programs available for this purpose. The objective of this technical note is to present some closed form expressions related to stereographic projections such as the prediction of a possible joint set. These solutions can be implemented in spreadsheets or in computer programs and would benefit stability analysis of rock masses with discontinuities. This helps to reduce the work load with hand solutions and enhance the analysis in modern computational tools with stereonet, where the rotation and snap features are not available yet.
Efficiency, quality, and management practices in multidisciplinary and traditional diabetes healthcare services in Mexico
Authors: Chivardi Carlos , Sosa Alejandro Zamudio , Galárraga Omar , Sosa-Rubí Sandra G. 
Published: June 2023

AbstractDiabetes is a major health issue in middle-income countries like Mexico. Multidisciplinary healthcare (MHC) models aim to improve diabetes care and reduce costs. However, the relationship between management practices, efficiency, and quality of care in MHC and traditional healthcare (THC) models is unclear. This study evaluates the efficiency and quality of diabetes healthcare models in Mexico, identifying associated management practices. Methodology. Data from a retrospective longitudinal analysis were used to compare 20 THC and 20 MHC. Technical efficiency (TE) scores were estimated using data envelopment analysis (DEA), quality scores were calculated based on provider competence and patient performance. The relationship between efficiency, quality, and management practices was analyzed using positive deviance regression. Results. DEA analysis indicate higher TE in MHC units (mean score: 65, SD = 19) compared to THC units (mean score: 24, SD = 23). MHC units scored 78.55 (SD = 18.71) in performance score, while THC units scored 37.7 (SD = 18.97). MHC units also outperformed THC units in competence scores (mean: 68.71, SD = 18.31 vs. 49.97, SD = 23.31). Several management practices were associated with best performance in terms of both efficiency and quality strategic thinking, human resource management, financial management, operations management, performance management, and governance. Conclusion. This study highlights the higher efficiency of MHC models in diabetes care compared to THC models in Mexico. However, both models require improvement in quality. Understanding the relationship between management practices, efficiency, and quality can guide policymakers in enhancing diabetes care in low- and middle-income countries.
Nuclear genome annotation of wheel animals and thorny-headed worms: inferences about the last common ancestor of Syndermata (Rotifera s.l.)
Authors: Hagemann Laura , Mauer Katharina M. , Hankeln Thomas , Schmidt Hanno , Herlyn Holger 
Published: June 2023

AbstractThe basal splits within Syndermata probably date back hundreds of millions of years, and extant syndermatans greatly differ in reproduction modes (parthenogenesis, metagenesis, heterosexuality) and lifestyles (free-living, epizoic, endoparasitic). Against this background, the present investigation aims to reconstruct genome and transcriptome metrics in the last common ancestor (LCA) of Syndermata. We especially annotated nuclear genome assemblies of one representative, each, of monogononts (Brachionus plicatilis), bdelloids (Adineta vaga), seisonids (Seison nebaliae), and acanthocephalans (Pomphorhynchus laevis), S1 and additionally considered previously published data. Present results suggest that the syndermatan LCA possessed a compact nuclear genome of 50–100 Mb with a coding portion of ≥ 40%. Its ~ 17,000 protein-coding genes probably had about 4–6 exons and 3–5 introns on average. Long interspersed nuclear elements (LINEs) should have occupied 4–5% of the ancestral genome. Based on this, independent evolutionary trajectories involving gene loss, genome duplication, and repeat proliferation resulted in greatly varying genomes within the clade. Nevertheless, we identified 2114 clusters containing proteins of all four syndermatan taxa. About 200 of these clusters lacked sufficiently similar counterparts in the platyhelminths Macrostomum lignano and Schmidtea mediterranea. Gene ontologies assigned to these clusters might reference the muscular pharynx, light perception, and transposition, amongst others.
Microwave-assisted enzymatic synthesis of geraniol esters in solvent-free systems: optimization of the reaction parameters, purification and characterization of the products, and biocatalyst reuse
Authors: Venturi Valentina , Presini Francesco , Trapella Claudio , Bortolini Olga , Giovannini Pier Paolo , Lerin Lindomar Alberto 
Published: June 2023

AbstractVarious geraniol esters act as insect pheromones and display pharmacological activities, especially as neuroprotective agents. Therefore, the search for synthetic strategies alternative to traditional chemical synthesis could help designing ecofriendly routes for the preparation of such bioactive compounds. Hence, this work aims at the microwave-assisted enzymatic synthesis of geranyl esters in solvent-free systems. The process variables were optimized for the synthesis of geranyl acetoacetate, achieving 85% conversion after 60 min using a 1:5 substrates molar ratio (ester to geraniol), 80 °C and 8.4% of Lipozyme 435 lipase without removal of the co-produced methanol. On the other hand, a 95% conversion was reached after 30 min using 1:6 substrates molar ratio, 70 °C and 7% lipase in the presence of 5Å molecular sieves for the methanol capture. In addition, the lipase showed good reusability, maintaining the same activity for five reaction cycles. Finally, under the above optimized conditions, other geraniol esters were successfully synthetized such as the geranyl butyrate (98%), geranyl hexanoate (99%), geranyl octanoate (98%), and geranyl (R)-3-hydroxybutyrate (56%). These results demonstrate the microwave-assisted lipase-catalyzed transesterification in a solvent-free system as an excellent and sustainable catalytic methodology to produce geraniol esters.
Graphical Abstract
Parameter estimation for time-fractional Black-Scholes equation with S &P 500 index option
Authors: An Xingyu , Wang Qingxia , Liu Fawang , Anh Vo V. , Turner Ian W. 
Published: June 2023

AbstractThis paper aims to estimate the parameters of the time-fractional Black-Scholes (TFBS) partial differential equation with the Caputo fractional derivative by using the real option prices of the S &P 500 index options. First, the numerical solution is obtained by developing a high-order scheme with order ($$3-\alpha $$

3
-
α

) for the time discretisation. Some theoretical analyses such as stability and convergence are presented in order to verify the efficiency and accuracy of the proposed scheme. Secondly, we employ a modified hybrid Nelder-Mead simplex search and particle swarm optimization (MH-NMSS-PSO) to identify the fractional order $$\alpha $$
α
and implied volatility $$\sigma $$
σ
of the TFBS equation, and explore the financial meanings of $$\alpha $$
α
under extreme stock market conditions such as the Covid-19 and the 2008 global financial crisis. We analyse the values of $$\alpha $$
α
and compare the mean squared errors of both the TFBS model and the BS model. Our empirical results show that $$\alpha $$
α
may be regarded as a market fluctuation indicator for classifying financial environments, and the TFBS model is more capable of fitting real option data compared with the BS model, especially for put options during the economic downturn. In addition, we find and discuss an interesting relation between $$\alpha $$
α
and $$\sigma $$
σ
from both the TFBS model and the BS model in three expressions, which could be an open problem for further research.
Incidence of urological tumors in Down’s syndrome: a systematic review and meta-analysis
Authors: Korkes Fernando , Gomez-Bueno Maria Paula , García-Perdomo Herney Andrés 
Published: June 2023

Abstract
Background
Some authors have estimated that the incidence of testicular germ cell tumors in individuals with trisomy 21 is more than fivefold higher than that in the general population.

Objective
This systematic review aimed to estimate the incidence of urological tumors in patients with Down’s syndrome.

Study design
We conducted a search strategy in MEDLINE (OVID), EMBASE, LILACS, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to nowadays. We assessed the risk of bias and performed a meta-analysis. Also, the heterogeneity between trials was evaluated by the I2 test. We completed the subgroup analysis based on the type of urological tumor (testis, bladder, kidney, upper urological tract, penile, retroperitoneum).

Results
We found 350 studies by the search strategy. After carefully reviewing, full-text studies were included. 16,248 individuals with Down’s syndrome were included, and 42 patients presented with urological tumors. There was a total incidence of 0.1%, 95%CI (0.06–0.19), I2 61%. The most common urological tumor reported was testicular. We found six studies describing 31 events and an overall incidence of 0.19%, 95%CI (0.11–0.33), I2: 51%. Other studies reported kidney, penile, upper urinary tract, bladder, and retroperitoneum tumors with a very low incidence, 0.02%, 0.06%, 0.03%, 0.11%and 0.07%, respectively.

Discussion
Regarding non-testicular urological tumors, we found incidences as low as 0.02% in kidney cancer or 0.03% in the upper-urothelial tract tumors. It is also lower than the general population. Compared to the age of onset of patients, it is also lower than the general population, perhaps related to a shorter life expectancy. As a limitation, we found a high heterogeneity and a lack of information regarding non-testicular tumors.

Conclusion
There was a very low incidence of urological tumors in people with Down’s syndrome. Testis tumor was the most frequently described in all cohorts and within a normal distribution range.
A simple proof of second-order sufficient optimality conditions in nonlinear semidefinite optimization
Authors: Mehlitz Patrick 
Published: June 2023

AbstractIn this note, we present an elementary proof for a well-known second-order sufficient optimality condition in nonlinear semidefinite optimization which does not rely on the enhanced theory of second-order tangents. Our approach builds on an explicit elementary computation of the so-called second subderivative of the indicator function associated with the semidefinite cone which recovers the best curvature term known in the literature.
Protecting Whom, Why, and from What? The Dutch Government’s Politics of Abjection of Sex Workers in Times of the COVID-19 Pandemic
Authors: Oude Breuil Brenda 
Published: June 2023

AbstractSex workers in the Netherlands experienced severe financial and social distress during the COVID-19 health crisis. Notwithstanding them paying taxes over the earnings, they were excluded from government financial support, faced discriminatory treatment concerning safe reopening, and experienced increased repression and stigmatization. In this contribution, I explore whether the concept of “vulnerability” contributes to understanding (and addressing) that situation. Data acquired through participatory action research, partly taking place online during lock-down measures, and literature and content analysis show that labeling sex workers “vulnerable” deflects attention away from the (in)actions of Dutch authorities responsible for sex workers’ precarious conditions during the pandemic. Government denial and strategies of abjection explain these conditions better than “vulnerability” does, as they return the gaze to actors and processes accountable for sex workers’ exclusion and criminalization during the COVID-19 health crisis and thereby put responsibility where it belongs.