bluuebunny/crossref_metadata_2025_split huggingface dataset:
Predictive value of perilesional edema volume in melanoma brain metastasis response to stereotactic radiosurgery
Authors: Yavorska Mariya , Tomaciello Miriam , Sciurti Antonio , Cinelli Elisa , Rubino Giovanni , Perrella Armando , Cerase Alfonso , Pastina Pierpaolo , Gravina Giovanni Luca , Arcieri Silvia , Mazzei Maria Antonietta , Migliara Giuseppe , Baccolini Valentina , Marampon Francesco , Minniti Giuseppe , Di Giacomo Anna Maria , Tini Paolo 
Published: September 2024

Abstract
Background and aim
Stereotactic radiotherapy (SRT) is an established treatment for melanoma brain metastases (MBM). Recent evidence suggests that perilesional edema volume (PEV) might compromise the delivery and efficacy of radiotherapy to treat BM. This study investigated the association between SRT efficacy and PEV extent in MBM.

Materials and methods
This retrospective study reviewed medical records from January 2020 to September 2023. Patients with up to 5 measurable MBMs, intracranial disease per RANO/iRANO criteria, and on low-dose corticosteroids were included. MRI scans assessed baseline neuroimaging, with PEV analyzed using 3D Slicer. SRT plans were based on MRI-CT fusion, delivering 18–32.5 Gy in 1–5 fractions. Outcomes included intracranial objective response rate (iORR) and survival measures (L-iPFS and OS). Statistical analysis involved decision tree analysis and multivariable logistic regression, adjusting for clinical and treatment variables.

Results
Seventy-two patients with 101 MBM were analyzed, with a mean age of 68.83 years. The iORR was 61.4%, with Complete Response (CR) in 21.8% and Partial Response (PR) in 39.6% of the treated lesions. PEV correlated with KPS, BRAF status, and treatment response. Decision tree analysis identified a PEV cutoff at 0.5 cc, with lower PEVs predicting better responses (AUC = 0.82 sensitivity: 86.7%, specificity:74.4%,). Patients with PEV ≥ 0.5 cc had lower response rates (iORR 44.7% vs. 63.8%, p < 0.001). Median OS was 9.4 months, with L-iPFS of 27 months. PEV significantly impacted survival outcomes.

Conclusions
A more extensive PEV was associated with a less favorable outcome to SRT in MBM.
The deregulation of quarterly reporting and its effects on information asymmetry and firm value
Authors: Behrmann Vanessa , Hornuf Lars , Vrankar Daniel , Zimmermann Jochen 
Published: September 2024

AbstractIn this article, we investigate accounting deregulation and analyze whether a reduction in the minimum content requirements for quarterly reporting negatively impacts information asymmetry and reduces firm value. Taking advantage of one of the rare deregulating measures, namely the transposition of the EU’s Transparency Directive into German law, and using a novel dataset of firms listed on the Frankfurt Stock Exchange, we manually examine firms’ quarterly reports for their content elements and construct a new quarterly reporting measure with an ordinal quality dimension. The results show that deregulation reverses beneficial regulatory effects and, on average, increases information asymmetry and decreases firm value. We find that this effect is stronger for first-tier stocks, highlighting the importance of quarterly reporting for these firms. The results are robust to potential selection effects regarding firms’ choice of quarterly reporting content levels.
Recovery dynamics of wetland vegetation along a hydrological gradient in an agriculturally used inland valley in Uganda
Authors: Behn Kai , Alvarez Miguel , Mutebi Samuel , Becker Mathias 
Published: September 2024

AbstractWetlands in East Africa are important for providing ecosystem services and for conserving biodiversity. They are also suitable and increasingly used for agriculture. Between cropping cycles, spontaneous vegetation regrows on fallow plots. We hypothesize that recovery is affected by hydro-edaphic conditions and the duration of the fallow period. Land use intensification reduces fallow durations. A multi-year field study investigated the dynamics, biodiversity, and potential uses of fallow vegetation species after a disturbance event in an inland valley wetland in Central Uganda. The wetland was stratified into three hydrological positions along a gradient comprising the valley fringe, the mid-valley, and the riparian zone. In each zone, biomass was removed, and the soil was tilled, simulating a common disturbance event. Subsequently, four plots of 4 × 4 m size were delineated in each zone. Vegetation regrowth was subsequently monitored over a period of two years. We recorded and analyzed changes in aboveground live biomass, abundance of selected plant species, taxonomic and functional composition, and evenness during a 27-months recovery phase. While annual species dominated the vegetation initially, these were gradually replaced by herbaceous perennials, and eventually by tall reeds and woody plants, constituting three successional stages. The dynamics were similar, but species composition differed across the positions. At all successional stages, we observed the presence of useful wild plants, but also invasive species such as Mimosa pigra were recorded. While temporary fallows are important for biodiversity in tropical wetlands, such successions cannot substitute for the functions and services provided by natural vegetation and may promote invasive species.
Diffusion lacunae: a novel MR imaging finding on diffusion-weighted imaging for diagnosing placenta accreta spectrum
Authors: Iraha Yuko , Fujii Shinya , Tsuchiya Nanae , Azama Kimei , Yonamine Eri , Mekaru Keiko , Kinjo Tadatsugu , Sekine Masayuki , Nishie Akihiro 
Published: September 2024

Abstract

Objective
To evaluate the usefulness of novel diffusion-weighted imaging (DWI) findings for diagnosing placenta accreta spectrum (PAS).

Materials and methods
This retrospective study included 49 pregnant women with suspected PAS who underwent 1.5 T placental MRI. Diffusion lacunae were defined as intraplacental areas showing hypointensity on DWI and hyperintensity on the apparent diffusion coefficient map. Two radiologists evaluated the number and size of placental lacunae on DWI, and flow void in the diffusion lacunae on T2-weighted imaging. The radiologists also evaluated established MRI features of PAS described in the SAR-ESUR consensus statement. Pearson's chi-square test or Mann–Whitney U test was used to compare findings between patients with and without PAS. Interobserver reliability for DWI and established MRI features was also assessed. Optimal thresholds for the number and maximum size of diffusion lacunae for differentiating PAS from the no-PAS group were determined using receiver operating characteristic curve analyses.

Results
Eighteen patients were diagnosed with PAS, and 31 patients with placental previa without PAS. The number and maximum size of diffusion lacunae were significantly larger in patients with than in patients without PAS (p < 0.0001). Combining assessment of the number of diffusion lacunae with assessment of their maximum size yielded a diagnostic performance with sensitivity, specificity and accuracy of 83%, 94% and 90%, respectively. Flow voids within the diffusion lacunae had sensitivity, specificity and accuracy of 88%, 84% and 86%, respectively.

Conclusion
The number and size of diffusion lacunae, and T2 flow void in diffusion lacunae may be useful findings for diagnosing PAS.
Ungleichheiten in der Lehrkräfteversorgung: Eine Analyse zur Verteilung qualifizierten Lehrpersonals auf Schulen mit unterschiedlicher Schülerschaft und verschiedenen sozio-ökonomischen Kontexten
Authors: Richter Dirk , Huang Yizhen , Richter Eric 
Published: September 2024

ZusammenfassungIn Deutschland führt der Lehrkräftemangel dazu, dass verstärkt Quer- und Seiteneinsteiger:innen in vielen Bundesländern eingestellt werden und Unterricht fachfremd erteilt wird. Angesichts der steigenden Anteile dieser Personengruppe stellt sich die Frage, welche Schulen von diesen Maßnahmen besonders betroffen sind. Die vorliegende Studie nutzt Daten der amtlichen Schulstatistik eines ostdeutschen Bundeslandes, um die Verteilung von Lehrkräften ohne Lehramtsstudium und fachfremd erteiltem Unterricht zu untersuchen. Sie basiert auf Daten zweier Schuljahre (2016/17 und 2019/20) aller Grundschulen des Bundeslandes. Die Ergebnisse zeigen, dass Schulen mit mehr Schüler:innen mit Migrationshintergrund und weniger Gymnasialempfehlungen mehr Lehrkräfte ohne Lehramtsabschluss beschäftigen. Längsschnittanalysen verdeutlichen zudem, dass Schulen mit größeren Kollegien, weniger Schüler:innen mit Gymnasialempfehlung und schwächerem sozioökonomischen Umfeld einen Anstieg solcher Lehrkräfte und fachfremden Unterrichts verzeichnen. Die Arbeit diskutiert mögliche Implikationen, die aus der festgestellten Ungleichverteilung der Lehrkräfte resultieren.
Advancing forest hydrological research: exploring global research trends and future directions through scientometric analysis
Authors: Farooqi Tanzeel Javaid Aini , Portela Rubén , Xu Zhou , Pan Shulin , Irfan Muhammad , Ali Arshad 
Published: September 2024

AbstractForest hydrology, the study of water dynamics within forested catchments, is crucial for understanding the intricate relationship between forest cover and water balances across different scales, from ecosystems to landscapes, or from catchment watersheds. The intensified global changes in climate, land use and cover, and pollution that occurred over the past century have brought about adverse impacts on forests and their services in water regulation, signifying the importance of forest hydrological research as a re-emerging topic of scientific interest. This article reviews the literature on recent advances in forest hydrological research, intending to identify leading countries, institutions, and researchers actively engaged in this field, as well as highlighting research hotspots for future exploration. Through a systematic analysis using VOSviewer, drawing from 17,006 articles retrieved from the Web of Science Core Collection spanning 2000–2022, we employed scientometric methods to assess research productivity, identify emerging topics, and analyze academic development. The findings reveal a consistent growth in forest hydrological research over the past two decades, with the United States, Charles T. Driscoll, and the Chinese Academy of Sciences emerging as the most productive country, author, and institution, respectively. The Journal of Hydrology emerges as the most co-cited journal. Analysis of keyword co-occurrence and co-cited references highlights key research areas, including climate change, management strategies, runoff-erosion dynamics, vegetation cover changes, paired catchment experiments, water quality, aquatic biodiversity, forest fire dynamics and hydrological modeling. Based on these findings, our study advocates for an integrated approach to future research, emphasizing the collection of data from diverse sources, utilization of varied methodologies, and collaboration across disciplines and institutions. This holistic strategy is essential for developing sustainable approaches to forested watershed planning and management. Ultimately, our study provides valuable insights for researchers, practitioners, and policymakers, guiding future research directions towards forest hydrological research and applications.
Lessons on Datasets and Paradigms in Machine Learning for Symbolic Computation: A Case Study on CAD
Authors: del Río Tereso , England Matthew 
Published: September 2024

AbstractSymbolic Computation algorithms and their implementation in computer algebra systems often contain choices which do not affect the correctness of the output but can significantly impact the resources required: such choices can benefit from having them made separately for each problem via a machine learning model. This study reports lessons on such use of machine learning in symbolic computation, in particular on the importance of analysing datasets prior to machine learning and on the different machine learning paradigms that may be utilised. We present results for a particular case study, the selection of variable ordering for cylindrical algebraic decomposition, but expect that the lessons learned are applicable to other decisions in symbolic computation. We utilise an existing dataset of examples derived from applications which was found to be imbalanced with respect to the variable ordering decision. We introduce an augmentation technique for polynomial systems problems that allows us to balance and further augment the dataset, improving the machine learning results by 28% and 38% on average, respectively. We then demonstrate how the existing machine learning methodology used for the problem—classification—might be recast into the regression paradigm. While this does not have a radical change on the performance, it does widen the scope in which the methodology can be applied to make choices.
Integrating Prime Editing and Cellular Reprogramming as Novel Strategies for Genetic Cardiac Disease Modeling and Treatment
Authors: Yao Bing , Lei Zhiyong , Gonçalves Manuel A. F. V. , Sluijter Joost P. G. 
Published: September 2024

Abstract
Purpose of review
This review aims to evaluate the potential of CRISPR-based gene editing tools, particularly prime editors (PE), in treating genetic cardiac diseases. It seeks to answer how these tools can overcome current therapeutic limitations and explore the synergy between PE and induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) for personalized medicine.

Recent findings
Recent advancements in CRISPR technology, including CRISPR-Cas9, base editors, and PE, have demonstrated precise genome correction capabilities. Notably, PE has shown exceptional precision in correcting genetic mutations. Combining PE with iPSC-CMs has emerged as a robust platform for disease modeling and developing innovative treatments for genetic cardiac diseases.

Summary
The review finds that PE, when combined with iPSC-CMs, holds significant promise for treating genetic cardiac diseases by addressing their root causes. This approach could revolutionize personalized medicine, offering more effective and precise treatments. Future research should focus on refining these technologies and their clinical applications.
Insights into Uromodulin and Blood Pressure
Authors: Zhou Manshi , Mary Sheon , Delles Christian , Padmanabhan Sandosh , Graham Delyth , McBride Martin W. , Dominiczak Anna F. 
Published: September 2024

Abstract
Purpose of Review
We review the role of uromodulin, a protein exclusively expressed in the kidney, in blood pressure regulation and hypertension.

Recent Findings
The last few years have seen a shift of focus from genetic association to mendelian randomisation and uromodulin-salt interaction studies, thus confirming the causal role of uromodulin in blood pressure regulation and hypertension. This work has been complemented by phenome-wide association studies in a wider range of ethnicities. Important recent molecular work elucidated uromodulin trafficking and secretion and provided more insights into the pathophysiological roles of circulating and urinary uromodulin.

Summary
Uromodulin has a causal role in blood pressure regulation and hypertensin. Recent studies show utility of the uromodulin as a biomarker and a possible precision medicine application based on genetically determined differential responses to loop diuretics.
Synchronous Fluorescence Spectroscopy as a Green Method for the Prediction of Antioxidant Activity in Wine Brandy and Sweet Wine
Authors: Sádecká Jana , Hroboňová Katarína , Jakubíková Michaela 
Published: September 2024

Abstract
The official method for the determination of antioxidant activity in beverages is 2,2-diphenyl-1-picrylhydrazyl (DPPH) assay, which requires toxic reagents, is laborious, and produces waste. The aim of this work was to develop a more eco‑friendly method for the prediction of antioxidant activity in wine brandy and sweet wine using synchronous fluorescence spectra (SFS). In scanning of bulk and diluted samples, the excitation wavelength was varied from 250 to 500 nm and the wavelength interval was ranged from 20 to 100 nm. Partial least squares (PLS) regression was done on individual SFS, on unfolded SFS and on variables selected by the variable importance in the projection (VIP) algorithm, while the DPPH assay was the reference method. VIP-PLS modeling of the SFS of diluted samples led to better performance characteristics of the regression models. The best VIP-PLS model for wine brandy with relative predictive deviation (RPD) of 3.9 was based on 62 variables (the wavelength interval from 80 to 100 nm and the excitation wavelength from 290 to 320 nm). The best VIP-PLS model for sweet wine with RPD of 4.2 was calculated on 108 variables (the wavelength interval from 60 to 100 nm and the excitation wavelength from 260 to 290 nm). RPD values above 3.5 indicated very good prediction accuracy obtained by VIP-PLS models. Analytical GREEnness (AGREE) score 0.74 confirmed a high level of greenness of the proposed method.
Emotional Labor and the Problem of Exploitation in Roboticized Care Practices: Enriching the Framework of Care Centred Value Sensitive Design
Authors: Liedo Belén , Van Grunsven Janna , Marin Lavinia 
Published: September 2024

AbstractCare ethics has been advanced as a suitable framework for evaluating the ethical significance of assistive robotics. One of the most prominent care ethical contributions to the ethical assessment of assistive robots comes through the work of Aimee Van Wynsberghe, who has developed the Care-Centred Value-Sensitive Design framework (CCVSD) in order to incorporate care values into the design of assistive robots. Building upon the care ethics work of Joan Tronto, CCVSD has been able to highlight a number of ways in which care practices can undergo significant ethical transformations upon the introduction of assistive robots. In this paper, we too build upon the work of Tronto in an effort to enrich the CCVSD framework. Combining insights from Tronto’s work with the sociological concept of emotional labor, we argue that CCVSD remains underdeveloped with respect to the impact robots may have on the emotional labor required by paid care workers. Emotional labor consists of the managing of emotions and of emotional bonding, both of which signify a demanding yet potentially fulfilling dimension of paid care work. Because of the conditions in which care labor is performed nowadays, emotional labor is also susceptible to exploitation. While CCVSD can acknowledge some manifestations of unrecognized emotional labor in care delivery, it remains limited in capturing the structural conditions that fuel this vulnerability to exploitation. We propose that the idea of privileged irresponsibility, coined by Tronto, helps to understand how the exploitation of emotional labor can be prone to happen in roboticized care practices.
Spaces of mathematical chemistry
Authors: Restrepo Guillermo 
Published: September 2024

AbstractIn an effort to expand the domain of mathematical chemistry and inspire research beyond the realms of graph theory and quantum chemistry, we explore five mathematical chemistry spaces and their interconnectedness. These spaces comprise the chemical space, which encompasses substances and reactions; the space of reaction conditions, spanning the physical and chemical aspects involved in chemical reactions; the space of reaction grammars, which encapsulates the rules for creating and breaking chemical bonds; the space of substance properties, covering all documented measurements regarding substances; and the space of substance representations, composed of the various ontologies for characterising substances.
Doxastic and Epistemic Sources of Offense for Slurring Terms
Authors: Gray David Miguel 
Published: September 2024

AbstractExisting analyses of slurs emphasize how linguistic mechanisms make slurs derogatory. I will argue that, in addition to linguistic mechanisms, there are overlooked doxastic and epistemic features of standard slurring utterances that can be sources of offense. Additionally, I argue that the doxastic feature that distinguishes slurring utterances from other negatively valenced utterances is fundamental to understanding slurring terms. Clinical Trial Registration: Not applicable.
Localized translation on the mitochondrial surface
Authors: Bykov Yury S. 
Published: September 2024

Abstract
The proteins that are delivered to different organelles are synthesized on cytosolic ribosomes. Many of the ribosomes making these proteins are located in close proximity to the destination organelle. Except for the textbook example of co-translational protein targeting to the endoplasmic reticulum, the mechanisms and biological roles of such local translation remain unknown. On the mitochondrial surface, several conceptually new mechanisms were recently suggested to be in play.
Entschlüsselung der T-Zell-Antwort des Haushuhns
Authors: Früh Simon , Göbel Thomas 
Published: September 2024

Abstract
Chickens are an important species in veterinary sciences and a valuable immunological model. T cells are essential for adaptive immunity and memory responses in chickens, playing a crucial role in safeguarding poultry health. Next Generation Sequencing of T cell receptors (TCR repertoire sequencing) has emerged as a powerful tool to better characterize T cell responses. Here, we discuss approaches, applications, and findings regarding TCR repertoire sequencing in chickens.
Nomogram for the Therapeutic Efficacy of Apheresis Platelet Transfusion in Hematologic Patients
Authors: He Yiwen , Feng Huihui , Yu Lu , Deng Gang 
Published: September 2024

AbstractThis study aims to explore the factors that affect the efficacy of apheresis platelet transfusion in patients with hematologic diseases and construct a nomogram prediction model to predict the possibility of obtaining satisfactory platelet transfusion efficacy and guide scientific and rational platelet transfusion. The basic information of 2,007 hematologic patients who received apheresis platelet transfusions from June 2022 to April 2023 and the corresponding donor information and apheresis platelet data are collected. The risk factors that cause ineffective platelet transfusions are screened through a logistic regression analysis. Then, the risk factors are introduced into R software, and a nomogram prediction model is established and validated. The regression analysis shows that the independent risk factors for ineffective platelet transfusion are platelet count before transfusion, white blood cell count, hemoglobin content and mean corpuscular hemoglobin, cumulative platelet transfusion times, platelet antibody positivity, fever, splenomegaly, graft-versus-host disease, bleeding, and platelet storage days. These factors are included in the nomogram, and the calibration curve for predicting transfusion efficiency reveals good consistency between the nomogram-predicted results and the actual observations. The area under the curve obtained through internal repeated sampling is 0.756. This study comprehensively assessed the risks associated with factors leading to ineffective platelet transfusion and successfully constructed and validated a nomogram prediction model. This model provides an important predictive tool for assessing the efficacy of platelet transfusion in patients with hematologic diseases, with the potential to guide scientific and rational platelet transfusion practices.