bluuebunny/crossref_metadata_2025_split huggingface dataset:
Artificial intelligence-based optimization for extracellular L-glutaminase free L-asparaginase production by Streptomyces violaceoruber under solid state fermentation conditions
Authors: El-Naggar Noura El-Ahmady , Hamouda Ragaa A. , Elshafey Naglaa 
Published: November 2024

AbstractThe bacterial L-asparaginase is a highly effective chemotherapeutic drug and a cornerstone of treatment protocols used for treatment the acute lymphoblastic leukemia in pediatric oncology. A potential actinomycete isolate, Streptomyces sp. strain NEAE-99, produces glutaminase-free L-asparaginase was isolated from a soil sample. This potential strain was identified as S. violaceoruber strain NEAE-99. The central composite design (CCD) approach was utilized for finding the optimal values for four variables including the mixture of soybean and wheat bran in a 1:1 ratio (w/w), the concentrations of dextrose, L-asparagine, and potassium nitrate under solid state fermentation conditions. Through the use of an artificial neural network (ANN), the production of L-asparaginase by S. violaceoruber has been investigated, validated, and predicted in comparison to CCD. It was found that the optimal predicted conditions for maximum L-asparaginase production (216.19 U/gds) were 8.46 g/250 mL Erlenmeyer flask of soybean and wheat bran mixture in a 1:1 ratio (w/w), 2.2 g/L of dextrose, 18.97 g/L of L-asparagine, and 1.34 g/L of KNO3. The experimental results (207.55 U/gds) closely approximated the theoretical values (216.19 U/gds), as evidenced by the validation. This suggests that the ANN exhibited a high degree of precision and predictive capability.
Integration von KI-Anwendungen der bildgebenden Diagnostik – Ein Praxisbericht
Authors: Bröhan Anna Martina , Liguori Gino 
Published: November 2024

ZusammenfassungTrotz des Wachstums an verfügbaren KI-Produkten wird eine Diskrepanz zwischen deren Verfügbarkeit und der täglichen Nutzung in Kliniken festgestellt. Der Artikel beleuchtet die Integration von KI-Anwendungen der bildgebenden Diagnostik in den klinischen Regelbetrieb und beschreibt wie klinische Nutzungspotenziale durch gezieltes Management erschlossen werden können. Der Beitrag legt den Fokus dabei auf konkrete Maßnahmen und Entscheidungsprozesse, die notwendig sind, um KI erfolgreich in die klinische Routine zu integrieren und gibt Einblicke in Beispiele aus der Praxis innerhalb eines Gesundheitskonzerns.
„Es tut mir leid“ – eine Entschuldigung vermittelt Wertschätzung und verbessert die Atmosphäre
Authors: von Campenhausen Jutta 
Published: November 2024

ZusammenfassungEntschuldigungen haben in der Medizin einen schlechten Ruf. Dabei zeigen aufrichtige Worte des Bedauerns, dass der Arzt aufmerksam, empathisch und anspruchsvoll ist. Das verbessert nachweislich die Gesprächsatmosphäre. Haftungsrechtliche Folgen gibt es nicht.
A geospatial approach for dynamic on-road emission through open-access floating car data
Authors: Fung Pak Lun , Al-Jaghbeer Omar , Chen Jia , Paunu Ville-Veikko , Vosough Shaghayegh , Roncoli Claudio , Järvi Leena 
Published: November 2024

Abstract
This paper presents a geospatial approach for quantifying street-level on-road emissions of carbon dioxide (CO2), nitrogen oxides (NOx), and carbon monoxide (CO). By leveraging an existing open-access database of real-time congestion information derived from floating car data, we tested three methods to map high-resolution dynamic traffic emissions. To demonstrate the robustness and accuracy of the methods, we showcased results for summer workdays and winter weekends in the Helsinki Metropolitan Area (HMA). The three methods employed include (1) a physics-based relation known as the macroscopic fundamental diagram, (2) a data-driven input-adaptive generalized linear model (GLM), and (3) their ensemble (ENS). These methods estimated traffic density with satisfactory accuracy (R
2 = 0.60–0.88, sMAPE = 31%–68%). Utilizing speed-dependent emission factors retrieved from a European database, the results compared favorably against the downscaled national emission inventory, particularly for CO2 (R
2 = 0.70–0.77). Among the three methods, GLM exhibited the best overall performance in the HMA, while ENS provided a robust upscaling solution. The modeled emissions exhibited dynamic diurnal and spatial behavior, influenced by different functional road classes, fleet compositions and congestion patterns. Congestion-induced emissions were calculated to account for up to 10% of the total vehicular emissions. Furthermore, to anticipate the forthcoming transportation transformation, we calculated emission changes under scenarios with various penetration rates of connected and autonomous vehicles (CAVs) using this geospatial approach. The introduction of CAVs could result in emission reductions of 3%–14% owing to congestion improvements.
Forging Repertories
Authors: Davies Drew Edward 
Published: November 2024

Abstract
Forging Repertories: Cathedral Music in New Spain and Its Performance explores the development of music repertories in colonial Mexico as a multi-faceted process indicative of early modern Hispanic religious culture. Organized thematically, its case studies and microhistories combine to show how colonial repertories mix European with locally composed pieces to create canons tailored to local liturgies yet shaped by tradition. Discussion of music by Manuel de Sumaya, Juan Gutiérrez de Padilla, Ignacio Jerusalem, and others shows how composers, some of them priests, communicate theological doctrine through music genres. The unique repertory of music for St. Peter in New Spain contains notably erudite gestures that celebrate the secular church itself. The book also critically tackles issues of cultural encounter, assessing how music was used for indoctrination and rethinking stereotypes in some villancicos through the lens of topic theory. Building upon material from the archives of Mexico City, Durango, and Puebla cathedrals over a 300-year period, it stresses how improvised music complemented notated compositions, highlights the contributions of lesser known figures, and charts the development of music for the feast of Our Lady of Guadalupe. The book concludes with a history of the early music movement’s revival of New Spanish music beginning in the 1960s and argues that exoticism and the imagination continue to shape performances in ways that may not be plausible historically, but nonetheless resonate with audiences in the contemporary world. In so doing, the book invites performers and scholars alike to engage with broader repertories of New Spanish music moving forward.
Third-Party Duress
Authors: Dougherty Tom 
Published: November 2024

Abstract
Chapter 7 considers duress that comes from an agent who is a “third party,” in the sense that they neither give nor receive consent. Third-party duress is theoretically puzzling because sometimes it invalidates consent and sometimes it does not. The Crockery Dilemma—Request case illustrates how third-party duress need not prevent consent from being fully valid. In this case, Bully threatens to smash Victim’s vase unless Bystander smashes Victim’s teapot. Bystander is aware of the conditional threat but cannot prevent Bully from smashing the vase. Victim asks Bystander to smash the teapot. To handle this case, Chapter 7 introduces the Authorization Principle. Roughly, this principle states that someone’s consent to an action is fully valid when they are authorizing the consent-receiver to perform the action as an extension of their own agency. To make room for the Authorization Principle, there must be qualifications built into the Third Party Principle that governs third-party duress. This principle’s rough idea is that, unless someone is suitably authorizing an action, their consent to the action is not fully valid when it is given in response to third-party duress against which they have a legitimate complaint.
The Peloponnesian War
Authors: Roberts Jennifer T. 
Published: November 2024

Abstract
This chapter focuses on the Peloponnesian War. The roots of the Peloponnesian War of 431–404 lay in the tensions that had arisen when the Greek world became a bipolar one following the foundation of the Delian League under the hegemony of Athens in 478. The preoccupation of the imperial navy with the war against the Peloponnesians would prompt rebellions in Athens’s empire, which promptly occurred in 428. The chapter then provides an overview of the major developments that occurred in the Greek world following the Athenians’ miscalculations in Sicily. It explains the friendship between the Spartan high admiral Lysander and the young Persian prince Cyrus that ultimately proved fatal for Athens.
Epic, tragedy, history
Authors: Roberts Jennifer T. 
Published: November 2024

Abstract
This chapter explains that the world of epic and tragedy influenced the works of Thucydides. Despite Thucydides’ marked lack of belief in the intrusion of the divine, his history was suffused with a profoundly tragic world view. Additionally, Thucydides’ perception of the Athenian failure as multi-factorial undermines any easy pattern for tragedy just as it does any easy schema for political realism. The chapter argues that Thucydides is at his narrative best in recounting the bitter denouement of the failed Sicilian campaign. It details how Thucydides presented the war, the expedition to Sicily, and the subsequent fall of Athens.
The Epic: A Very Short Introduction
Authors: Welch Anthony 
Published: November 2024

Abstract
The Epic: A Very Short Introduction approaches the epic as a diverse global art form. Storytellers around the world have long told of heroes who are touched by greatness and win lasting fame. Surveying the Western epic canon alongside traditional heroic poetry from Asia, Africa, and the Near East, this VSI highlights shared themes and practices that unite the world’s epic literature. It describes the important roles that epic poets and performers serve for their societies, and explores how their stories portray heroism, warfare, family ties, nature and the supernatural, and the trauma of death. It also considers how the traditional epic has evolved to meet the challenges of our modern world. Analysing a wide range of epic narratives from the Bronze Age to the present day, it explains why this ancient form of artistic expression continues to fascinate and inspire us.
Factors influencing clinically trained pharmacists to pursue management roles: A modified Delphi survey
Authors: Lattos Anna K , Neidecker Marjorie V , Worley Marcia M , Kelley Lindsey R , Amerine Lindsey B , Kennerly-Shah Julie M 
Published: November 2024

Abstract

Purpose
This study aimed to establish consensus among a sample of pharmacist clinicians on factors that would make them more or less likely to transition from a position primarily in direct patient care to a management position that included direct reports.

Methods
A 3-round modified Delphi survey was conducted. Pharmacists were selected as panelists to gain further information on the transition from a clinician to a managerial role. Study investigators utilized their professional network of pharmacy leaders nationwide who may have had staff who met the inclusion criteria. Participating pharmacy leaders emailed staff an interest survey, and participant email addresses were collected. During the round 1 survey, 2 open-ended questions were used to identify both positive and negative factors influencing pursuit of a managerial roles and responses were analyzed for factor development. In round 2, factors that met or exceeded a predetermined consensus agreement threshold of 70% were included in the round 3 survey. In round 3, a 4-point Likert scale was utilized for respondents to indicate agreement with each factor remaining.

Results
For each consecutive round, the survey response rate was 63% (96/152), 83% (79/96), and 87% (69/79), respectively. A total of 595 factor terms submitted by panelists in round 1 were consolidated into 30 “more likely” and 27 “less likely” factors by round 3. In round 3, the 70% agreement threshold was met across all factors. One less likely factor regarding workload expectations reached 100% total agreement.

Conclusion
The survey results may assist pharmacy administrative leaders in optimizing transitions to managerial roles by considering clinician perspectives.
Greek or barbarian? Diogenes Laertius on the contested origin of philosophy
Authors: Abdavi Azar Kasra 
Published: November 2024

ABSTRACT
Though largely a silent observer throughout his Vitae philosophorum, Diogenes Laertius comes to the fore in his proem to refute the popular belief in a barbarian origin of philosophy. This study examines his defence-cum-critique in detail and offers some reflections on its sources and intended audience. It will be argued that Diogenes employs four distinct and partly incompatible arguments to counter sentiments that ultimately can be traced back to the Old Academy and early Peripatos but by Diogenes’ time had gained widespread circulation among Stoics and Platonists as well as Jews and Christians. The analysis thus reshapes our perception of Diogenes by showing that he consciously positioned himself within a controversial discourse, not only by relating the views of others but by advancing his own convictions with novel arguments.
[Theocritus], Idyll 23: a stony aesthetic
Authors: Nelson Thomas J 
Published: November 2024

Abstract
The pseudo-Theocritean Idyll 23 is frequently criticized as a wretched and unattractive poem. In this article, I argue that such allegedly ‘unattractive’ qualities do not betray the shortcomings of its poet, but are rather part of a distinctive aesthetic strategy. The Idyll embraces the murky, the hard, and the stony to construct an alternative aesthetic mode opposed to the traditional ‘sweetness’ of Theocritean bucolic and to the slender ‘refinement’ of Callimachus and Posidippus. First, I explore the poem’s knowing engagement with epic, tragedy, and epigram to demonstrate its familiarity with the common aesthetic strategies of Hellenistic poetics, whose rules it can both follow and break. Second, I analyse its ‘stony aesthetic’: the poem is dominated by both the literal and figurative language of hardness through its stone-hearted eromenos and lithic landscape. I argue that this stony environment is pointedly set against the ‘sweetness’ of the Theocritean countryside. The poem’s urban landscape both reflects and embodies its distinctive aesthetic.
The text2term tool to map free-text descriptions of biomedical terms to ontologies
Authors: Gonçalves Rafael S , Payne Jason , Tan Amelia , Benitez Carmen , Haddock Jamie , Gentleman Robert 
Published: November 2024

Abstract
There is an ongoing need for scalable tools to aid researchers in both retrospective and prospective standardization of discrete entity types—such as disease names, cell types, or chemicals—that are used in metadata associated with biomedical data. When metadata are not well-structured or precise, the associated data are harder to find and are often burdensome to reuse, analyze, or integrate with other datasets due to the upfront curation effort required to make the data usable—typically through retrospective standardization and cleaning of the (meta)data. With the goal of facilitating the task of standardizing metadata—either in bulk or in a one-by-one fashion, e.g. to support autocompletion of biomedical entities in forms—we have developed an open-source tool called text2term that maps free-text descriptions of biomedical entities to controlled terms in ontologies. The tool is highly configurable and can be used in multiple ways that cater to different users and expertise levels—it is available on Python Package Index and can be used programmatically as any Python package; it can also be used via a command-line interface or via our hosted, graphical user interface–based web application or by deploying a local instance of our interactive application using Docker.
Database URL: https://pypi.org/project/text2term
Patch-based convolutional neural networks for automatic landmark detection of 3D facial images in clinical settings
Authors: Al-baker Bodore , Ayoub Ashraf , Ju Xiangyang , Mossey Peter 
Published: November 2024

Abstract

Background
The facial landmark annotation of 3D facial images is crucial in clinical orthodontics and orthognathic surgeries for accurate diagnosis and treatment planning. While manual landmarking has traditionally been the gold standard, it is labour-intensive and prone to variability.

Objective
This study presents a framework for automated landmark detection in 3D facial images within a clinical context, using convolutional neural networks (CNNs), and it assesses its accuracy in comparison to that of ground-truth data.

Material and methods
Initially, an in-house dataset of 408 3D facial images, each annotated with 37 landmarks by an expert, was constructed. Subsequently, a 2.5D patch-based CNN architecture was trained using this dataset to detect the same set of landmarks automatically.

Results
The developed CNN model demonstrated high accuracy, with an overall mean localization error of 0.83 ± 0.49 mm. The majority of the landmarks had low localization errors, with 95% exhibiting a mean error of less than 1 mm across all axes. Moreover, the method achieved a high success detection rate, with 88% of detections having an error below 1.5 mm and 94% below 2 mm.

Conclusion
The automated method used in this study demonstrated accuracy comparable to that achieved with manual annotations within clinical settings. In addition, the proposed framework for automatic landmark localization exhibited improved accuracy over existing models in the literature. Despite these advancements, it is important to acknowledge the limitations of this research, such as that it was based on a single-centre study and a single annotator. Future work should address computational time challenges to achieve further enhancements. This approach has significant potential to improve the efficiency and accuracy of orthodontic and orthognathic procedures.
Effort–reward imbalance and burnout among German school leaders. Representative study findings and implications for an underserved occupational group
Authors: Groß Nele , Dadaczynski Kevin , Pietsch Marcus 
Published: November 2024

Abstract
This study examines the relationship between gratification crisis and burnout syndrome in German school leaders and explores how sociodemographic and school-level factors relate to burnout. Additionally, it investigates how these factors influence the likelihood of experiencing burnout and engagement based on sociodemographic and school characteristics. The research design focuses on the relationship between the effort–reward imbalance (ERI) model and latent profiles of the Maslach Burnout Inventory. Statistical analyses include group comparisons and logistic regression to examine the relationships between variables, such as ERI and sociodemographic and school-level characteristics. The ERI ratio significantly associated with burnout, indicating higher risk as the ratio rises. Sociodemographic and school-level factors showed significant variations by student numbers and school type. Regression models revealed a positive relationship between ERI and burnout, while age negatively correlated, suggesting lower burnout risk in older leaders. Logistic regression highlighted associations between age, gender, and engagement, with increasing age positively associated with engagement and lower ERI scores associated with higher engagement. The results of the study demonstrate a significant relationship between perceived reward crisis as measured by the ERI model and burnout syndrome among school leaders in Germany. School leaders who feel undervalued and overburdened are more susceptible to burnout. The reported ERI depends on specific contextual variables, including the type of school, the number of students, and the age of the school principal. It is important for schools and educational institutions to address the multiple factors that influence burnout and work engagement among school leaders.
Defining quality categories for evaluation of the doctor–patient relationship assessed through the patient–doctor relationship questionnaire (PDRQ-9)
Authors: Wollmann Lucas , Hauser Lisiane , van der Feltz-Cornelis Christina , Mengue Sotero Serrate , Roman Rudi , Rech Milena Rodrigues Agostinho , Harzheim Erno 
Published: November 2024

Abstract

Background
The quality of the doctor–patient relationship plays a crucial role in patients’ experiences with healthcare services, positively influencing clinical outcomes and satisfaction with care. The Patient–Doctor Relationship Questionnaire (PDRQ-9) is widely used to assess this relationship. However, there are no quality categories that can be derived from the instrument’s score to facilitate understanding and decision-making.

Objectives
This study aims to establish categories of the quality of the relationship based on the PDRQ-9 score.

Methods
A latent class analysis (LCA) was conducted using interviews with 6160 users of primary health care units throughout Brazil to define different homogeneous response profiles. The Youden index was used to determine the cut point between classes.

Results
LCA identified the presence of two response profiles, one associated with a high evaluation of the quality of the doctor–patient relationship and another associated with a moderate evaluation. The cut point between classes, established through the Youden index, was 3.5 (on a possible score range of 1–5) or 31 (on a possible score range of 9–45). The cut point demonstrated high accuracy (0.94), sensitivity (0.96), and specificity (0.98).

Conclusions
The categorization proposed in this study enhances the interpretability of PDRQ-9 results, providing a practical framework for assessing the quality of the doctor–patient relationship. By establishing actionable quality categories, this tool could support targeted interventions, such as performance feedback and training, aimed at fostering empathy, communication, and trust in healthcare settings.
Systematic review and meta-analysis of the effect of psychological interventions on anxiety in children and youth with chronic medical conditions
Authors: Tran Susan T , Bieniak Keely , Bedree Helen , Adler Michelle , Ogunmona Suliat , Kovar-Gough Iris , Ma Wenjuan , Thabrew Hiran , Cunningham Natoshia R 
Published: November 2024

Abstract

Objectives
Anxiety disorders affect 20%–50% of youth with chronic medical conditions (CMCs) and can interfere with medical care and treatment outcomes. Psychological therapies are typically designed for youth without CMCs; thus, this systematic review (Open Science Framework preregistration osf.io/a52nd/) assesses the effect of psychological therapies on anxiety, functional impairment and health-related quality of life (HRQOL) in this unique population.

Methods
We included randomized controlled trials of psychological therapies vs. any comparator for youth (ages 24 and younger) with CMCs that assessed child anxiety. We excluded studies of adults and those not in English. Medline, Embase, PsycInfo, and CENTRAL databases were searched, studies were screened using COVIDENCE software, and meta-analysis was undertaken in R. Study quality was assessed using the Cochrane Risk of Bias tool, version 2. Quality of evidence was assessed using the GRADE system.

Results
Thirty-three studies with 2676 participants (ages 5–21 years) were included in the meta-analysis. Nearly all had at least some risk of bias. Overall, psychological interventions resulted in lower anxiety (Hedges’ g = −0.48 [−0.71; −0.25]), but did not have a significant effect on functional impairment or HRQOL. Based on the GRADE criteria, we have moderate confidence in these results. Treatments with higher risk of bias and those with live therapist components had greater effects on anxiety.

Conclusions
Psychological interventions may be effective for improving anxiety for children and youth with CMCs, particularly those with a live therapist. More high-quality studies are needed to understand what components produce the best outcomes for patients.