bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparative salivary proteomics analysis of children with and without early childhood caries using the DIA approach: A pilot study
Authors: Ye Jinxiang , Zhang Fangfang , Luo Zhouyuan , Ou Xiaoyan 
Published: May 2024

AbstractObjectiveTo screen differentially expressed proteins (DEPs) in the saliva of Early childhood caries (ECC) with different degrees of severity.MethodsThe proteomic profiles of salivary of children with ECC of varying severity by data independent acquisition data independent acquisition (DIA) technique. A total of 12 preschool children aged 3–5 years were included in this study.ResultsIn this study, a total of 15,083 peptides and 1944 proteins were quantified; The results of DEPs screening showed that 34 DEPs were identified between the group H and the group LC, including 18 up‐regulated proteins and 16 down‐regulated proteins; 34 DEPs were screened between the group H and the group HC, including 17 up‐regulated proteins and 17 down‐regulated proteins; 42 DEPs were screened between the group LC and the group HC, including 18 up‐regulated proteins and 24 down‐regulated proteins. Among these DEPs, we screened several key proteins that may play a role in ECC, such as MK, histone H4, TGFβ3, ZG16B, MUC20, and SMR‐3B.ConclusionSalivary proteins, as important host factors of caries, are differentially expressed between the saliva of ECC children and healthy children. Specific DEPs are expected to become potential biomarkers for the diagnosis of ECC.
Population pharmacokinetics of imetelstat, a first‐in‐class oligonucleotide telomerase inhibitor
Authors: González‐Sales Mario , Lennox Ashley L. , Huang Fei , Pamulapati Chandra , Wan Ying , Sun Libo , Berry Tymara , Kelly Behrs Melissa , Feller Faye , Morcos Peter N. 
Published: May 2024

AbstractImetelstat is a novel, first‐in‐class, oligonucleotide telomerase inhibitor in development for the treatment of hematologic malignancies including lower‐risk myelodysplastic syndromes and myelofibrosis. A nonlinear mixed‐effects model was developed to characterize the population pharmacokinetics of imetelstat and identify and quantify covariates that contribute to its pharmacokinetic variability. The model was developed using plasma concentrations from 7 clinical studies including 424 patients with solid tumors or hematologic malignancies who received single‐agent imetelstat via intravenous infusion at various dose levels (0.4–11.7 mg/kg) and schedules (every week to every 4 weeks). Covariate analysis included factors related to demographics, disease, laboratory results, renal and hepatic function, and antidrug antibodies. Imetelstat was described by a two‐compartment, nonlinear disposition model with saturable binding/distribution and dose‐ and time‐dependent elimination from the central compartment. Theory‐based allometric scaling for body weight was included in disposition parameters. The final covariates included sex, time, malignancy, and dose on clearance; malignancy and sex on volume of the central compartment; and malignancy and spleen volume on concentration of target. Clearance in females was modestly lower, resulting in nonclinically relevant increases in predicted exposure relative to males. No effects on imetelstat pharmacokinetics were identified for mild‐to‐moderate hepatic or renal impairment, age, race, and antidrug antibody status. All model parameters were estimated with adequate precision (relative standard error < 29%). Visual predictive checks confirmed the capacity of the model to describe the data. The analysis supports the imetelstat body‐weight–based dosing approach and lack of need for dose individualizations for imetelstat‐treated patients.
Anrufgründe bei medizinischen Notfällen: Entwicklung eines strukturierten semantischen Modells auf Basis einer randomisierten Stichprobe medizinischer Hilfeersuchen einer integrierten Rettungsleitstelle
Authors: Hippler Barbara , Ristau Patrick , Maletzki Carsten , Elsenbast Christian , Blaschke Fred 
Published: May 2024

Zusammenfassung
Hintergrund
Rettungsleitstellen sehen sich mit steigenden Herausforderungen durch kontinuierlich steigende Notrufzahlen konfrontiert. Zur besseren Strukturierung und Priorisierung der Notrufgespräche werden vielerorts standardisierte Abfragesysteme implementiert. Aktuelle Entwicklungen im Bereich der künstlichen Intelligenz eröffnen neue Möglichkeiten der Entscheidungsunterstützung von Disponierenden. Voraussetzung hierfür ist ein prozesshaftes Modell des Notrufdialogs.

Ziel der Arbeit
Auf Basis einer Analyse der komplexen Anrufgründe von Notrufgesprächen wird deren übergreifende Struktur abgeleitet und modellhaft dargestellt.

Material und Methoden
50 randomisiert ausgewählte Aufzeichnungen medizinischer Notrufe einer integrierten Rettungsleitstelle aus dem Jahr 2022 wurden transkribiert, unter Anwendung einer qualitativen Inhaltsanalyse induktiv codiert, kategorisiert und in ein prozesshaftes Modell des Notrufdialogs überführt.

Ergebnisse
Das typische Notrufgespräch besteht aus zwei konsekutiven Prozessen, einem Einstiegs- und einem Rückfrageprozess. Der Einstiegsprozess dient der Informationsgewinnung mit dem Ziel, abschätzen zu können, ob es sich beim Notrufgrund um ein einzelnes Hauptproblem, die Kombination aus mehreren Gesundheitsbeeinträchtigungen oder ein Ereignis vor bzw. nach einer Gesundheitsbeeinträchtigung handelt. Der Rückfrageprozess dient der Präzisierung der Zustands- bzw. Problembeschreibung.

Diskussion
Auf Basis der zufällig ausgewählten Notrufgespräche konnte der idealtypische Ablauf des Notrufgesprächs abgeleitet und in einem phasen- bzw. prozesshaften Modell dargestellt werden, auf dessen Grundlage nun KI-gestützte Notrufabfragesysteme entwickelt werden können.
Whole blood transcriptome signature predicts severe forms of COVID-19: Results from the COVIDeF cohort study
Authors: Armignacco Roberta , Carlier Nicolas , Jouinot Anne , Birtolo Maria Francesca , de Murat Daniel , Tubach Florence , Hausfater Pierre , Simon Tabassome , Gorochov Guy , Pourcher Valérie , Beurton Alexandra , Goulet Hélène , Manivet Philippe , Bertherat Jérôme , Assié Guillaume ,   for the COVIDeF group
Published: May 2024

AbstractCOVID-19 is associated with heterogeneous outcome. Early identification of a severe progression of the disease is essential to properly manage the patients and improve their outcome. Biomarkers reflecting an increased inflammatory response, as well as individual features including advanced age, male gender, and pre-existing comorbidities, are risk factors of severe COVID-19. Yet, these features show limited accuracy for outcome prediction. The aim was to evaluate the prognostic value of whole blood transcriptome at an early stage of the disease. Blood transcriptome of patients with mild pneumonia was profiled. Patients with subsequent severe COVID-19 were compared to those with favourable outcome, and a molecular predictor based on gene expression was built. Unsupervised classification discriminated patients who would later develop a COVID-19-related severe pneumonia. The corresponding gene expression signature reflected the immune response to the viral infection dominated by a prominent type I interferon, with IFI27 among the most over-expressed genes. A 48-genes transcriptome signature predicting the risk of severe COVID-19 was built on a training cohort, then validated on an external independent cohort, showing an accuracy of 81% for predicting severe outcome. These results identify an early transcriptome signature of severe COVID-19 pneumonia, with a possible relevance to improve COVID-19 patient management.
Immunophenotype of myeloid granulocytes in Chinese patients with BCR::ABL1-negative myeloproliferative neoplasms
Authors: Liang Fengting , Liang Xuelan , Pan Lingang , Jin Qianni , Deng Ju , Hong Minglin , Wei Wei , Hao Zhuanghui , Ren Huanying , Wang Hongwei , Chen Xiuhua 
Published: May 2024

AbstractTypical BCR::ABL1-negative myeloproliferative neoplasms (MPN) are mainly referred to as polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofbrosis (PMF). Granulocytes in MPN patients are involved in their inflammation and form an important part of the pathophysiology of MPN patients. It has been shown that the immunophenotype of granulocytes in MPN patients is altered. We used flow cytometry to explore the immunophenotype of MPN patients and correlate it with clinical parameters. The results showed that PMF patients and PV patients had higher CD15+CD11b+ granulocytes than ET patients and normal controls. When grouped by gene mutation, changes in the granulocyte immunophenotype of MPN patients were independent of the JAK2V617F and CALR mutations. There was no significant heterogeneity in immunophenotype between ET patients and Pre-PMF, and between Overt-PMF and Pre-PMF patients. Granulocytes from some MPN patients showed an abnormal CD13/CD16 phenotype with a significant increase in mature granulocytes on molecular and cytomorphological grounds, and this abnormal pattern occurred significantly more frequently in PMF patients than in ET patients. CD15–CD11b– was negatively correlated with WBC and Hb and positively correlated with DIPSS score, whereas high CD10+ granulocytes were significantly and negatively associated with prognostic system IPSS and DIPSS scores in PMF patients. In conclusion, this study demonstrates the landscape of bone marrow granulocyte immunophenotypes in MPN patients. MPN patients, especially those with PMF, have a significant granulocyte developmental overmaturation phenotype. CD10+ granulocytes may be involved in the prognosis of PMF patients.
Spatial transcriptomics reveals gene interactions and signaling pathway dynamics in rat embryos with anorectal malformation
Authors: Wang Chen-Yi , Li Mu-Yu , Li Si-Ying , Wei Xiao-Gao , Yuan Zheng-Wei , Tang Xiao-Bing , Bai Yu-Zuo 
Published: May 2024

AbstractAnorectal malformation (ARM) is a prevalent early pregnancy digestive tract anomaly. The intricate anatomy of the embryonic cloaca region makes it challenging for traditional high-throughput sequencing methods to capture location-specific information. Spatial transcriptomics was used to sequence libraries of frozen sections from embryonic rats at gestational days (GD) 14 to 16, covering both normal and ARM cases. Bioinformatics analyses and predictions were performed using methods such as WGCNA, GSEA, and PROGENy. Immunofluorescence staining was used to verify gene expression levels. Gene expression data was obtained with anatomical annotations of clusters, focusing on the cloaca region's location-specific traits. WGCNA revealed gene modules linked to normal and ARM cloacal anatomy development, with cooperation between modules on GD14 and GD15. Differential gene expression profiles and functional enrichment were presented. Notably, protein levels of Pcsk9, Hmgb2, and Sod1 were found to be downregulated in the GD15 ARM hindgut. The PROGENy algorithm predicted the activity and interplay of common signaling pathways in embryonic sections, highlighting their synergistic and complementary effects. A competing endogenous RNA (ceRNA) regulatory network was constructed from whole transcriptome data. Spatial transcriptomics provided location-specific cloaca region gene expression. Diverse bioinformatics analyses deepened our understanding of ARM's molecular interactions, guiding future research and providing insights into gene regulation in ARM development.
Deficiency of P2RY11 causes narcolepsy and attenuates the recruitment of neutrophils and macrophages in the inflammatory response in zebrafish
Authors: Zhao Lin , Wang Li-feng , Wang Yi-chen , Liu Ao , Xiao Qian-wen , Hu Ming-Chuan , Sun Ming-zhu , Hao Hui-yu , Gao Qian , Zhao Xin , Chen Dong-yan 
Published: May 2024

AbstractPurinergic receptor P2Y11, a G protein-coupled receptor that is stimulated by extracellular ATP, has been demonstrated to be related to the chemotaxis of granulocytes, apoptosis of neutrophils, and secretion of cytokines in vitro. P2Y11 mutations were associated with narcolepsy. However, little is known about the roles of P2RY11 in the occurrence of narcolepsy and inflammatory response in vivo. In this study, we generated a zebrafish P2Y11 mutant using CRISPR/Cas9 genome editing and demonstrated that the P2Y11 mutant replicated the narcolepsy-like features including reduced HCRT expression and excessive daytime sleepiness, suggesting that P2Y11 is essential for HCRT expression. Furthermore, we accessed the cytokine expression in the mutant and revealed that the P2RY11 mutation disrupted the systemic inflammatory balance by reducing il4, il10 and tgfb, and increasing il6, tnfa, and il1b. In addition, the P2RY11-deficient larvae with caudal fin injuries exhibited significantly slower migration and less recruitment of neutrophils and macrophages at damaged site, and lower expression of anti-inflammatory cytokines during tissue damage. All these findings highlight the vital roles of P2RY11 in maintaining HCRT production and secreting anti-inflammatory cytokines in the native environment, and suggested that P2RY11-deficient zebrafish can serve as a reliable and unique model to further explore narcolepsy and inflammatory-related diseases with impaired neutrophil and macrophage responses.
Graphical abstract
Periodic orbits in a galactic potential
Authors: Harsoula M. , Contopoulos G. 
Published: May 2024

AbstractWe make a numerical study of the periodic orbits of period-1 and their bifurcations in a galactic type potential $$V=\frac{1}{2}[\alpha (x^2+y^2)+x^2y^2]$$

V
=

1
2

[
α

(

x
2

+

y
2

)

+

x
2

y
2

]

, which tends to the Yang–Mills potential $$V=\frac{1}{2}x^2y^2$$

V
=

1
2

x
2

y
2

, when $$\alpha $$
α
tends to zero. We consider their stability diagrams, the corresponding Poincaré surfaces of section and the forms of the orbits.
Efficient quantum algorithms for some instances of the semidirect discrete logarithm problem
Authors: Imran Muhammad , Ivanyos Gábor 
Published: May 2024

AbstractThe semidirect discrete logarithm problem (SDLP) is the following analogue of the standard discrete logarithm problem in the semidirect product semigroup$$G\rtimes {{\,\textrm{End}\,}}(G)$$G⋊End(G)for a finite semigroupG. Given$$g\in G, \sigma \in {{\,\textrm{End}\,}}(G)$$g∈G,σ∈End(G), and$$h=\prod _{i=0}^{t-1}\sigma ^i(g)$$h=∏i=0t-1σi(g)for some integert, the SDLP$$(G,\sigma )$$(G,σ), forgandh, asks to determinet. As Shor’s algorithm crucially depends on commutativity, it is believed not to be applicable to the SDLP. For generic semigroups, the best known algorithm for the SDLP is based on Kuperberg’s subexponential time quantum algorithm. Still, the problem plays a central role in the security of certain proposed cryptosystems in the family ofsemidirect product key exchange. This includes a recently proposed signature protocol called SPDH-Sign. In this paper, we show that the SDLP is even easier in some important special cases. Specifically, for a finite groupG, we describe quantum algorithms for the SDLP in$$G\rtimes {\textrm{Aut}}(G)$$G⋊Aut(G)for the following two classes of instances: the first one is whenGis solvable and the second is whenGis a matrix group and a power of$$\sigma $$σwith a polynomially small exponent is an inner automorphism ofG. We further extend the results to groups composed of factors from these classes. A consequence is that SPDH-Sign and similar cryptosystems whose security assumption is based on the presumed hardness of the SDLP in the cases described above are insecure against quantum attacks. The quantum ingredients we rely on are not new: these are Shor’s factoring and discrete logarithm algorithms and well-known generalizations.
Punching above One’s Weight–On Overcommitment in Election Campaigns
Authors: Haan Marco A. , Onderstal Sander , Riyanto Yohanes E. 
Published: May 2024

AbstractIn this paper, we develop a game-theoretic model to study how candidates compete in elections when voters care about the winner’s ability to implement policies. In our model, the candidates make commitments before the election regarding the plans they will try to implement if elected. These commitments serve as a signal of ability. In equilibrium, candidates make overambitious promises. While the candidate with the highest ability wins, the electorate may be better off having a random candidate implement her best plan, rather than seeing the winner implementing an overambitious plan.
The Only Path to Justice: The Criminal Legal System and Defamation Judgments Related to #MeToo in Sweden
Authors: Wegerstad Linnea , Andersson Ulrika 
Published: May 2024

AbstractThis article presents a study of court judgments involving women who, in connection with #MeToo, identified alleged perpetrators of sexual violence in social media and were later prosecuted for and convicted of criminal defamation in Sweden. We conceptualise the use of social media to share experiences of sexual violence as an informal path to justice. First, we show that this is supported by how court judgments describe women’s reasons for sharing their information, such as telling their story and sharing it with others. Second, according to Swedish defamation law, a truth defence is allowed only if the defamatory statement is first considered to be justifiable, balancing between the defendant’s interest of freedom of speech and the complainant’s interest of honour and reputation. We show that the courts did not assign the interest of speaking out about sexual violence such a significance that it would make the statement justifiable. In effect, the criminal justice system emerges as the only path to justice for victims of sexual violence, simultaneously making perpetrators invisible and victims responsible for telling without naming.
Implications of losing a need- and merit-based scholarship on the educational trajectory: a curricular analytics approach
Authors: Salazar-Fernandez Juan Pablo , Munoz-Gama Jorge , Sepúlveda Marcos 
Published: May 2024

Abstract
Understanding how students with low socioeconomic status finance their tuition over time can help us comprehend the impact of students’ decisions on their subsequent curricular progress, graduation, or dropout. This work presents a curricular analytics approach using process mining techniques to study educational funding trajectories as processes. Specifically, the SCHOLARSHIP-LOAN-SELF-FUNDED model is designed to reveal educational funding trajectories and obtain aggregate information. Academic and tuition records of 2484 undergraduate students from a private Chilean university who started their programs with a government need- and merit-based tuition aid were analyzed. Students who lost their scholarships were more likely to drop out, whereas students who maintained this aid were more likely to graduate on time. Curricular progress per semester was slower after scholarships ended or after the students lost them and stayed. Financial aid was associated with students’ curricular progress and linked to their permanence and graduation time. Higher education institutions should consider the eligibility criteria and maintenance requirements of financial assistance when designing their curricula.
Adverse Childhood Experiences and Health Outcomes Among Transition-Age Autistic Youth
Authors: Song Wei , McLean Kiley J. , Gifford Jordan , Kissner Hailey , Sipe Rosalind 
Published: May 2024

Abstract
Background
Adverse childhood experiences (ACEs) have been associated with poor health outcomes in the general population. However, their impact on autistic youth remains unclear.

Objective
The primary objective was to understand how childhood adversity is related to the general health, mental health, and physical health of transition-age autistic youth.

Participants and Setting
Using data from the 2018–2021 National Survey of Children’s Health, this cross-sectional study involved 2056 autistic youth aged 12–17.

Methods
Logistic regression was employed to test the association between three measures of ACEs - individual ACEs, cumulative ACEs, and grouped ACEs based on contexts, and health outcomes of autistic youth.

Results
Our study observed a high prevalence of ACEs among autistic youth, with a substantially higher proportion experiencing multiple ACEs than their neurotypical peers. Individual ACEs were significantly associated with specific health issues. Cumulative ACEs demonstrated a clear dose-response relationship with health outcomes, with higher ACE counts increasing the likelihood of experiencing poor general health, mental health conditions, and physical health issues. Moreover, grouped ACEs associated with health differently, with community-based ACEs being particularly linked to general health status, mental health conditions, and physical health conditions, while family-based ACEs correlated more with more severe mental health conditions and being overweight.

Conclusion
These findings collectively emphasize the importance of addressing ACEs as a public health concern among transition-age autistic youth, highlighting the need for targeted interventions, prevention strategies, and support services to mitigate the negative impact of ACEs on the overall well-being of this growing community.
Detector Development for the CRESST Experiment
Authors: Angloher G. , Banik S. , Benato G. , Bento A. , Bertolini A. , Breier R. , Bucci C. , Burkhart J. , Canonica L. , D’Addabbo A. , Di Lorenzo S. , Einfalt L. , Erb A. , Feilitzsch F. V. , Fichtinger S. , Fuchs D. , Garai A. , Ghete V. M. , Gorla P. , Guillaumon P. V. , Gupta S. , Hauff D. , Ješkovský M. , Jochum J. , Kaznacheeva M. , Kinast A. , Kluck H. , Kraus H. , Kuckuk S. , Langenkämper A. , Mancuso M. , Marini L. , Mauri B. , Meyer L. , Mokina V. , Olmi M. , Ortmann T. , Pagliarone C. , Pattavina L. , Petricca F. , Potzel W. , Povinec P. , Pröbst F. , Pucci F. , Reindl F. , Rothe J. , Schäffner K. , Schieck J. , Schönert S. , Schwertner C. , Stahlberg M. , Stodolsky L. , Strandhagen C. , Strauss R. , Usherov I. , Wagner F. , Willers M. , Zema V. 
Published: May 2024

AbstractRecently low-mass dark matter direct searches have been hindered by a low-energy background, drastically reducing the physics reach of the experiments. In the CRESST-III experiment, this signal is characterised by a significant increase of events below 200 eV. As the origin of this background is still unknown, it became necessary to develop new detector designs to reach a better understanding of the observations. Within the CRESST collaboration, three new different detector layouts have been developed, and they are presented in this contribution.
Time Reparametrization and Event Location for Discontinuous Differential Algebraic Equations
Authors: Lopez L. , Maset S. 
Published: May 2024

AbstractIn this paper, we consider numerical methods for the event location of differential algebraic equations. The event corresponds to cross a discontinuity surface, beyond which another differential algebraic equation holds. The methods are based on a particular change of the independent variable time, called time reparametrization or time transformation, reducing the equation to another equation where the event time is known in advance. From a numerical point of view, these methods never cross the discontinuity surface and reach it in a fixed number of steps. The methods works also for differential algebraic equations of index higher than one.