bluuebunny/crossref_metadata_2025_split huggingface dataset:
Summability of Transseries Solution of Non-integrable Hamiltonian System
Authors: Yoshino Masafumi 
Published: April 2024

AbstractThis paper studies the summability of the transseries solution of a nonintegrable Hamiltonian system. Since our system has a resonance and is not integrable a general transseries theory does not work well as far as the author knows. In order to construct a formal transseries solution and prove its summability our main idea is to use the superintegrability of a Hamiltonian system in a class of transseries. More precisely we first show the superintegrability of a Hamiltonian system in the category of transseries via the key Lemmas 1 and 4 which follow. By virtue of the superintegrability we show the existence of a formal transseries solution. Then its summability is proved via the superintegrability. We note that the argument based on the superintegrability is elementary.
The entrepreneurial university: strategies, processes, and competing goals
Authors: Abreu Maria , Grinevich Vadim 
Published: April 2024

AbstractThe configuration of the entrepreneurial university remains poorly understood given the complexity of the university as an organisation with multiple missions and multiple ‘products and services’, delivered by multiple and sometimes competing sub-organisations with different cultures and norms, in response to different outside pressures and demands. The outcomes of the entrepreneurial university reflect the plurality of goals, including research, teaching, knowledge commercialisation, and civic and community empowerment, but they are rarely considered within the same conceptual and empirical framework. Hence, the aim of this paper is to explore how multiple and sometimes competing strategies and associated arrangements, resources and capabilities within the entrepreneurial university affect the delivery of economic and social benefits to the external world across teaching, research, knowledge commercialisation, and civic and community empowerment missions. To achieve this aim, we elaborate the entrepreneurial university ecosystem concept so that we can systematically capture the cross-influences of the entrepreneurial university elements in their entirety rather than focussing on selected ecosystem elements and their effects in relation to one particular university mission. Our analysis is based on a novel institution-level database on university strategies, goals, policies, and support mechanisms, providing annual data for all higher education institutions in the UK over the period 2017–2020, complemented with annual administrative data on staff, finances, graduate outcomes, and infrastructure, as well as contextual data on the wider regional entrepreneurship ecosystem. Using a Seemingly Unrelated Estimation approach, we contribute with novel fundings explicitly identifying synergies and tensions between different elements of the entrepreneurial university ecosystem that affect the delivery of its outcomes.
Partitioning genetic structure of a subterranean rodent at multiple spatial scales: accounting for isolation by barriers, distance, and environment
Authors: Alexander Nathan , Cosentino Bradley J. , Schooley Robert L. 
Published: April 2024

Abstract
Context
Understanding genetic structure at multiple spatial scales and identifying drivers of genetic isolation are important for developing comprehensive conservation plans including for grassland conservation efforts. However, few studies account for multiple genetic isolation processes nor partition genetic variance among these processes.

Objectives
We assess key processes that can create spatial genetic patterns including isolation by barrier (IBB), isolation by distance (IBD), and isolation by environment (IBE) for a widespread pocket gopher species (Geomys bursarius) and a spatially restricted subspecies (Geomys bursarius illinoensis). We further partition genetic variation to each isolating effect and identify genetic variation that was shared between processes.

Methods
We used seven microsatellites to determine spatial genetic clustering and identify environmental factors impacting genetic similarities. Then, we used redundancy analysis to partition variance explained by IBB, IBD, and IBE.

Results
Major rivers including the Mississippi River acted as barriers and explained the most genetic variation across the species. In contrast, IBD explained the most genetic variation for G. b. illinoensis. Gophers had genetic associations to soil sand percent and soil color, but IBE uniquely explained a small amount of genetic structure for G. bursarius, with additional variation shared with other isolating processes.

Conclusions
Gopher genetic structure resulted from barriers, distance, and environmental factors at the species range as well as for a subspecies’ region, but the relative amount of genetic variance assigned to unique isolating processes differed between scales. Delineation of conservation units should consider major rivers as natural boundaries, and finer-scale management should identify and protect areas close to source populations with similar soil friability. Our study exemplifies how analyzing gene flow at rangewide and regional scales can aid managers in developing localized strategies that fit within broader conservation units.
On Finite Difference Jacobian Computation in Deformable Image Registration
Authors: Liu Yihao , Chen Junyu , Wei Shuwen , Carass Aaron , Prince Jerry 
Published: April 2024

AbstractProducing spatial transformations that are diffeomorphic is a key goal in deformable image registration. As a diffeomorphic transformation should have positive Jacobian determinant $$\vert J\vert $$

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J
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everywhere, the number of pixels (2D) or voxels (3D) with $$\vert J\vert <0$$

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J
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<
0

has been used to test for diffeomorphism and also to measure the irregularity of the transformation. For digital transformations, $$\vert J\vert $$

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J
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is commonly approximated using a central difference, but this strategy can yield positive $$\vert J\vert $$

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J
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’s for transformations that are clearly not diffeomorphic—even at the pixel or voxel resolution level. To show this, we first investigate the geometric meaning of different finite difference approximations of $$\vert J\vert $$

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J
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. We show that to determine if a deformation is diffeomorphic for digital images, the use of any individual finite difference approximation of $$\vert J\vert $$

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J
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is insufficient. We further demonstrate that for a 2D transformation, four unique finite difference approximations of $$\vert J\vert $$

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J
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’s must be positive to ensure that the entire domain is invertible and free of folding at the pixel level. For a 3D transformation, ten unique finite differences approximations of $$\vert J\vert $$

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J
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’s are required to be positive. Our proposed digital diffeomorphism criteria solves several errors inherent in the central difference approximation of $$\vert J\vert $$

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J
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and accurately detects non-diffeomorphic digital transformations. The source code of this work is available at https://github.com/yihao6/digital_diffeomorphism.
Genetic and Phenotypic Profiling of Triptan Users in a Swedish Cluster Headache Cohort
Authors: Jennysdotter Olofsgård Felicia , Ran Caroline , Qin Yuyan , Fourier Carmen , Waldenlind Elisabet , Steinberg Anna , Sjöstrand Christina , Belin Andrea Carmine 
Published: April 2024

AbstractUp to 25% of individuals who live with cluster headache (CH), an extremely painful primary headache disorder, do not adequately respond to the first-line treatment, triptans. Studies have indicated that genetic variants can play a role in treatment response. Likewise, differences in clinical characteristics can give clues to mechanisms underlying triptan non-response. Our aim was to investigate five genetic variants previously implicated in triptan response and their relation to triptan usage in our Swedish CH cohort and to investigate potential distinctions in clinical characteristics. 545 CH patients were screened for the genetic variants rs1024905, rs6724624, rs4795541, rs5443, and rs2651899 with a case control design based on triptan usage. Analysis of clinical characteristics was based on self-reported questionnaire data from 893 patients. One genetic variant, rs1024905, was significantly associated with triptan non-usage in CH (Pc = 0.010). In addition, multi-allele effector analysis showed that individuals with a higher number of effector variants were less likely to use triptans (P = 0.007). Analysis of clinical characteristics showed that triptan users were more likely to have alcohol as a trigger (57.4% vs 43.4%, P = 0.002), have autonomic symptoms (95.1% vs 88.1%, P = 0.002), and be current smokers (27.0% vs 21.9%, P = 0.033) compared to non-users. These results support the hypothesis that genetic variants can play a role in triptan usage in CH and that patients with a typical CH phenotype are more likely to use triptans.
Mechanisms of Ferroptosis-Related Genes in Gallbladder Cancer Based on Bioinformatics Analysis
Authors: Li Miao , Shi Hang , Dong Jing , Lu Ning , Lou Jinjie , Xu Yangbo 
Published: April 2024

AbstractGallbladder Cancer (GBC) is a lethal malignancy with limited treatment options and poor prognosis. Recent studies have emphasized the role of ferroptosis, a regulated form of cell death, in various cancers, including GBC. We applied bioinformatics methodologies on four GBC datasets to identify differentially expressed genes (DEGs). An intersection of DEGs from the four datasets with ferroptosis and GBC-associated genes was done to identify key ferroptosis-related genes in GBC. GSVA pathway enrichment analysis and immune cell infiltration assessment were conducted to explore their functional roles and interactions. Seven ferroptosis-related genes, EZH2, MUC1, PVT1, GOT1, CDO1, LIFR, and TFAP2A, were identified to be related to GBC. These genes were associated with vital signaling pathways like the G2/M checkpoint and DNA repair and showed significant correlations with immune cell infiltration in GBC. Receiver Operating Characteristic (ROC) curve analysis revealed their high diagnostic potential, with Area Under the Curve (AUC) values ranging from 0.796 to 0.953. Our findings underscore the pivotal role of ferroptosis in GBC and the potential of ferroptosis-related genes as diagnostic biomarkers. This study lays a foundation for further research into ferroptosis-based therapeutic strategies for GBC.
Assessment of ICD eligibility in non-ischaemic cardiomyopathy patients: a position statement by the Task Force of the Dutch Society of Cardiology
Authors: van der Lingen Anne-Lotte C. J. , Verstraelen Tom E. , van Erven Lieselot , Meeder Joan G. , Theuns Dominic A. , Vernooy Kevin , Wilde Arthur A. M. , Maass Alexander H. , Allaart Cornelis P. 
Published: April 2024

AbstractInternational guidelines recommend implantation of an implantable cardioverter-defibrillator (ICD) in non-ischaemic cardiomyopathy (NICM) patients with a left ventricular ejection fraction (LVEF) below 35% despite optimal medical therapy and a life expectancy of more than 1 year with good functional status. We propose refinement of these recommendations in patients with NICM, with careful consideration of additional risk parameters for both arrhythmic and non-arrhythmic death. These additional parameters include late gadolinium enhancement on cardiac magnetic resonance imaging and genetic testing for high-risk genetic variants to further assess arrhythmic risk, and age, comorbidities and sex for assessment of non-arrhythmic mortality risk. Moreover, several risk modifiers should be taken into account, such as concomitant arrhythmias that may affect LVEF (atrial fibrillation, premature ventricular beats) and resynchronisation therapy. Even though currently no valid cut-off values have been established, the proposed approach provides a more careful consideration of risks that may result in withholding ICD implantation in patients with low arrhythmic risk and substantial non-arrhythmic mortality risk.
Facing the Emotional Barriers to Colorectal Cancer Screening. The Roles of Reappraisal and Situation Selection
Authors: Scaglioni Giulia , Capasso Miriam , Bianchi Marcella , Caso Daniela , Cavazza Nicoletta 
Published: April 2024

Abstract
Background
Disgust, embarrassment, and fear can hinder the attendance of colorectal cancer (CRC) screening. However, individuals can respond to these emotions differently. The present study tested whether reappraising a negative stimulus versus avoiding a negative stimulus is associated with age; whether these two emotion regulation strategies (reappraisal and situation selection) moderate the effects of disgust, embarrassment and fear on CRC screening intention; and the efficacy of a message based on participants’ preferred emotion regulation strategy.

Methods
We recruited 483 Italian participants (aged 40–84 years) through snowball sampling. Participants were randomly assigned to one of four conditions differing for a message promoting CRC screening with an affective lever, a cognitive lever, both levers or none. Key variables included emotion regulation strategies, emotional barriers and intention to get screened.

Results
The preference for reappraisal over situation selection increased with age. Reappraisal neutralized the effect of disgust on CRC screening intention. The combined message with both affective and cognitive levers increased CRC screening intention (b = 0.27, β = 0.11, SE = 0.13 p = .049), whereas reading the message based only on the affective (b = 0.16, β = 0.06, SE = 0.14 p = .258) or the cognitive (b = 0.22, β = 0.09, SE = 0.14 p = .107) lever was not effective.

Conclusions
Communication campaigns should support the activation of a reappraisal strategy of emotion control, and messages promoting CRC screening should highlight both the instrumental (i.e., early detection) and affective (i.e., peace of mind) benefits of attendance.
The clinical significance and oncogenic function of LRRFIP1 in pancreatic cancer
Authors: Li Jinping , Tuo Dayun , Guo Gunan , Gao Yan , Gan Jinfeng 
Published: April 2024

Abstract
Purpose
Pancreatic cancer is a lethal malignancy with a grim prognosis. Previous studies have proven that Leucine Rich Repeat of Flightless-1 Interacting Protein 1 (LRRFIP1) plays a pivotal role in cell biological processes, while its clinical significance and function in pancreatic cancer remain to be elucidated. Hence, we aimed to explore the roles and mechanisms of LRRFIP1 in pancreatic cancer.

Methods
The expression of LRRFIP1 in pancreatic cancer tissues and its clinical significance for pancreatic cancer were analyzed by immunohistochemistry assay and bioinformatic analysis. The influences of LRRFIP1 on the proliferation and migration of pancreatic cancer cells were assessed in vitro. The underlying mechanisms of LRRFIP1 in pancreatic cancer progression were explored using gene set enrichment analysis (GSEA) and molecular experiments.

Results
The results showed that LRRFIP1 expression was significantly upregulated in pancreatic cancer tissues compared to the normal tissues, and such upregulation was associated with poor prognosis of patients with pancreatic cancer. GSEA revealed that LRRFIP1 upregulation was significantly associated with various cancer-associated signaling pathways, including PI3K/AKT signaling pathway and Wnt pathway. Furthermore, LRRFIP1 was found to be associated with the infiltration of various immune cells. Functionally, LRRFIP1 silencing suppressed cell proliferation somewhat and inhibited migration substantially. Further molecular experiments indicated that LRRFIP1 silencing inactivated the AKT/GSK-3β/β-catenin signaling axis.

Conclusion
Taken together, LRRFIP1 is associated with tumorigenesis, immune cell infiltration, and prognosis in pancreatic cancer, which suggests that LRRFIP1 may be a potential biomarker and therapeutic target for pancreatic cancer.
Non-betahemolytic streptococcal bacteremia, cardiac implantable electronic device, endocarditis, extraction, and outcome; a population-based retrospective cohort study
Authors: Berge Andreas , Lundin Johannes , Bläckberg Anna , Sunnerhagen Torgny , Rasmussen Magnus 
Published: April 2024

Abstract
Purpose
Patients with non-beta-hemolytic streptococcal bacteremia (NBHSB) are at risk of infective endocarditis (IE). Patients with cardiac implantable electronic device (CIED) have been described to have an increased risk of IE. The aim of the study was to describe a population-based cohort of patients with NBHSB and CIED and variables associated with IE and recurrent NBHSB.

Methods
All episodes with NBHSB in blood culture from 2015 to 2018 in a population of 1.3 million inhabitants were collected from the Clinical Microbiology Laboratory, Lund, Sweden. Through medical records, patients with CIED during NBHSB were identified and clinical data were collected. Patients were followed 365 days after NBHSB.

Results
Eighty-five episodes in 79 patients with CIED and NBHSB constituted the cohort. Eight patients (10%) were diagnosed with definite IE during the first episode, five of whom also had heart valve prosthesis (HVP). In 39 patients (49%) transesophageal echocardiography (TEE) was performed of which six indicated IE. Four patients had the CIED extracted. Twenty-four patients did not survive (30%) the study period. Four patients had a recurrent infection with NBHSB with the same species, three of whom had HVP and had been evaluated with TEE with a negative result during the first episode and diagnosed with IE during the recurrency.

Conclusion
The study did not find a high risk of IE in patients with NBHSB and CIED. Most cases of IE were in conjunction with a simultaneous HVP. A management algorithm is suggested.
An H-div finite element method for the Stokes equations on polytopal meshes
Authors: Ye Xiu , Zhang Shangyou 
Published: April 2024

AbstractIn this paper, we introduce an$$H({\text {div}})$$H(div)finite element method on polygonal and polyhedral meshes for solving the Stokes equations in the primary velocity–pressure formulation. An$$H({\text {div}})$$H(div)finite element on polygons or polyhedra is introduced to approximate the velocity so that the method is pressure robust and produces exact divergence free solutions, when the discontinuous$$P_k$$Pkfinite element is adopted for the pressure approximation. In addition, this method is stabilizer-free, in handling the$$H^1$$H1non-conformity. Optimal order error estimates are established for the method. Numerical tests are conducted to confirm the theory.
Genetic diversity of common carp Cyprinus carpio in the base population of a selective breeding programme in India
Authors: Lalramnunsanga  , Mishra Archana , Singh Angom Lenin , Prakash Satya , Salvi Aditya , Kumar A. Pavan , Pathan Mujahidkhan A. 
Published: April 2024

AbstractA selective breeding program for developing a suitable strain ofCyprinus carpio(Linnaeus, 1758) for inland saline aquaculture in India is in progress. At ICAR-CIFE, various geographical populations of common carp of India, viz. Madhya Pradesh (MP), Haryana (HR), Tripura (TR), Andhra Pradesh (AP), Manipur (MN), and Maharashtra (MH) formed the base population for selective breeding. The present study assesses the genetic diversity of these stocks using truss morphometry and mitochondrial DNA D loop marker analysis. The images of 600 fish were captured and digitized. The landmarks were identified, and an image network was constructed for truss analysis using tpsDig2 and PAST software. The data was subjected to scale transformation and factor analysis using SAS for Academics. The top 3 factors could explain 85.40% of the total variation. The results indicate stock-wise and sex-wise groupings. The mitochondrial DNA (D-loop) sequence analysis was conducted on 169 samples using MEGA6 software. The overall average haplotype and nucleotide diversity of the population were 0.08129 and 0.01134, respectively. Among stocks, the MP stock had a maximum of four haplotypes. The AMOVA results reveal that the stock AP is unique, and the other stocks form a single grouping. The information generated from the present study delineates genetic diversity among stocks and will aid in designing breeding plans.
Bridging the gap: opportunities for transitions of care pharmacist review of outpatient parenteral antimicrobial therapy prescriptions prior to hospital discharge
Authors: Stashluk Sara , Ramos Michelle , Carettini Tyla , Cutrell James B. , Mathew Seana , Monogue Marguerite , Nguyen Jennifer , Sanders James M. , Golnabi Esther Y. 
Published: April 2024

Abstract

Purpose:
Pharmacist-led initiatives providing optimization of medications during transitions of care (TOC) have shown to have a positive impact on prescribing practices and patient outcomes. This study aims to evaluate the role and impact of TOC pharmacist review of outpatient parenteral antimicrobial therapy (OPAT) prescriptions prior to hospital discharge.

Methods:
In a retrospective chart review, patients with OPAT prescriptions between November 1, 2022 and January 31, 2023 were evaluated using prescription-specific and intervention-specific data points. Prescription-specific data points included intravenous antimicrobials prescribed, indication, prescribing team, and time from OPAT prescription to TOC pharmacist review. Intervention-specific data points included antimicrobial optimization (dose/frequency, duration, and other), prescription clarification, and laboratory monitoring.

Results:
Of the 137 OPAT prescriptions evaluated, 67 required intervention by TOC pharmacists (48.9%). The General Infectious Disease Consult team placed 71.5% of OPAT prescriptions and required interventions less frequently (42.9%) compared to the other teams. Antimicrobial optimization interventions accounted for 54.2% of interventions, which were primarily related to medication dose and frequency.

Conclusion:
The TOC pharmacists can play a key role in the evaluation of OPAT prescriptions at hospital discharge. This intervention demonstrated how TOC pharmacists can effectively collaborate with the OPAT team, which builds on prior evidence of the role and value of pharmacists in the transitional care setting.
Impact of COVID-19 on urgent care diagnoses and the new AXR metric
Authors: Hersh Adam L. , Stenehjem Edward A. , Fino Nora , Spivak Emily S. 
Published: April 2024

Abstract
We examined the antibiotic prescribing rate for respiratory diagnoses (AXR) before and after onset of the COVID-19 pandemic in urgent care clinics. At the onset, AXR declined substantially due to changes in case mix. Using AXR as a stewardship metric requires monitoring of changes in case mix.
Galaxy 3D shape recovery using mixture density network
Authors: Yong Suk Yee , Harborne K.E. , Foster Caroline , Bassett Robert , Poole Gregory B. , Cavanagh Mitchell 
Published: April 2024

Abstract
Since the turn of the century, astronomers have been exploiting the rich information afforded by combining stellar kinematic maps and imaging in an attempt to recover the intrinsic, three-dimensional (3D) shape of a galaxy. A common intrinsic shape recovery method relies on an expected monotonic relationship between the intrinsic misalignment of the kinematic and morphological axes and the triaxiality parameter. Recent studies have, however, cast doubt about underlying assumptions relating shape and intrinsic kinematic misalignment. In this work, we aim to recover the 3D shape of individual galaxies using their projected stellar kinematic and flux distributions using a supervised machine learning approach with mixture density network (MDN). Using a mock dataset of the EAGLE hydrodynamical cosmological simulation, we train the MDN model for a carefully selected set of common kinematic and photometric parameters. Compared to previous methods, we demonstrate potential improvements achieved with the MDN model to retrieve the 3D galaxy shape along with the uncertainties, especially for prolate and triaxial systems. We make specific recommendations for recovering galaxy intrinsic shapes relevant for current and future integral field spectroscopic galaxy surveys.