bluuebunny/crossref_metadata_2025_split huggingface dataset:
Finite difference delay modelling for analysis of shielding effectiveness of perforated conductive enclosure
Authors: Kalantarnia Ali , Rajabi Siavash , Mirzabeigi Abdollah 
Published: July 2024

AbstractThis paper introduces finite difference delay modelling (FDDM) for computing the shielding effectiveness (SE) of a conductive enclosure with an aperture against electromagnetic pulses. FDDM offers optimal accuracy and stability for analysing complex structures. The time domain electric field integral equation (TD‐EFIE) for the conductive enclosure is derived by imposing boundary conditions on the perfect electrical conductor (PEC) surface in the Laplace domain. Time discretization is based on finite differences, and the Laplace‐to‐Z transform mapping is utilized. Fast Fourier Transform (FFT) is employed to expedite the FDDM solution process. Both frequency domain shielding effectiveness (FD‐SE) and time domain shielding effectiveness (TD‐SE) are evaluated using this approach. Finally, to validate the accuracy of the proposed method, results are compared with simulations using CST‐MWS software and the frequency domain moment method.
Conflictual language ideologies and mismatched language practices of Thai international students at a Chinese-medium instruction university
Authors: Wang Jun , Xu Wen 
Published: July 2024

AbstractThis study is situated against the backdrop of China’s emergence as a new player in the international higher education market and its initiative to promote the Chinese language through academic programmes. We interrupt the entrenched ‘Englishisation’ of higher education in non-Anglophone contexts and investigate Thai international students’ language ideologies and language practices in the Chinese-medium instruction (CMI) university context. The qualitative data reveals the dual functions of Chinese in Thai students’ day-to-day practices—a medium of instruction and a ‘default’ common language for communication both in and beyond formal settings. In spite of their native speakerism, we also found incongruence between language ideologies and practices in and beyond the classroom. This study carries important implications for teaching and learning in CMI universities and beyond, as we call for attention to multilingual awareness development, ‘respectability’ pedagogies and translanguaging practices in international universities with a linguistically diverse student population.
Tunable topological edge state in plasma photonic crystals
Authors: ZHOU 周 Mingjie 铭杰 , TAN 谭 Haiyun 海云 , ZHUGE 诸葛 Lanjian 兰剑 , WU 吴 Xuemei 雪梅 
Published: July 2024

Abstract
In this study, we found a kind of edge state located at the interface between plasma photonic crystals (PPCs) and traditional photonic crystals, which depends on the property of the photonic band gap rather than the surface defect. Simulation and theoretical analysis show that by adjusting the plasma density, we can change the topological characteristics of the photonic band gap of PPCs. This makes it different from the photonic band gap of traditional PCs, and thus excites or closes the topological edge states. We further discussed the influence of plasma parameters on edge state characteristics, and the results showed that as the plasma density increased, the first photonic band gap (PBG) of the PPCs closed and then reopened, resulting in band inversion and a change in the PBG properties of the PPCs. We can control the generation of edge states through plasma and adjust the frequency and strength of the edge states. After the appearance of edge states, as the plasma density further increases, the first PBG of the PPCs will shift towards high frequencies and deepen. The frequency of edge states will shift towards higher frequencies, and their strength will also increase. We increased the first PBG depth of the PPCs by increasing the number of arrays and found that when the number of the PPCs arrays increased, only the intensity of the edge states would increase while the frequency remained unchanged. Therefore, flexible adjustment of edge state frequency and intensity can be achieved through plasma density and array quantity parameters. Our study demonstrates the properties of topological edge states in plasma photonic crystals, which we believe can provide some guidance for applications based on edge states.
Neuroimaging meta regression for coordinate based meta analysis data with a spatial model
Authors: Yu Yifan , Lobo Rosario Pintos , Riedel Michael Cody , Bottenhorn Katherine , Laird Angela R , Nichols Thomas E 
Published: July 2024

Summary
Coordinate-based meta-analysis combines evidence from a collection of neuroimaging studies to estimate brain activation. In such analyses, a key practical challenge is to find a computationally efficient approach with good statistical interpretability to model the locations of activation foci. In this article, we propose a generative coordinate-based meta-regression (CBMR) framework to approximate a smooth activation intensity function and investigate the effect of study-level covariates (e.g. year of publication, sample size). We employ a spline parameterization to model the spatial structure of brain activation and consider four stochastic models for modeling the random variation in foci. To examine the validity of CBMR, we estimate brain activation on 20 meta-analytic datasets, conduct spatial homogeneity tests at the voxel level, and compare the results to those generated by existing kernel-based and model-based approaches. Keywords: generalized linear models; meta-analysis; spatial statistics; statistical modeling.
Comparison of the 2015 and 2023 Duke–European Society of Cardiology Criteria Among Patients With Suspected Infective Endocarditis
Authors: Papadimitriou-Olivgeris Matthaios , Monney Pierre , Frank Michelle , Tzimas Georgios , Fourre Nicolas , Zimmermann Virgile , Tozzi Piergiorgio , Kirsch Matthias , Van Hemelrijck Mathias , Epprecht Jana , Guery Benoit , Hasse Barbara 
Published: July 2024

Abstract

Background
Diagnosing infective endocarditis (IE) poses a significant challenge. This study aimed to compare the diagnostic accuracy of the 2015 and 2023 Duke clinical criteria introduced by the European Society of Cardiology (ESC) in a cohort of patients suspected of having IE.

Methods
Conducted retrospectively at 2 Swiss university hospitals between 2014 and 2023, the study involved patients with suspected IE. Each hospital’s endocarditis team categorized cases as either IE or not IE. The performance of each iteration of the Duke-ESC clinical criteria was assessed based on the agreement between definite IE and the diagnoses made by the endocarditis team.

Results
Among the 3127 episodes of suspected IE, 1177 (38%) were confirmed to have IE. Using the 2015 Duke-ESC criteria, 707 (23%) episodes were deemed definite IE, with 696 (98%) receiving a final IE diagnosis. With the 2023 Duke-ESC criteria, 855 (27%) episodes were classified as definite IE, of which 813 (95%) were confirmed as IE. The 2015 and 2023 Duke-ESC criteria categorized 1039 (33%) and 1034 (33%) episodes, respectively, as possible IE. Sensitivity for the 2015 Duke-ESC and the 2023 Duke-ESC criteria was calculated at 59% (95% confidence interval, 56%–62%), and 69% (66%–72%), respectively, with specificity at 99% (99%–100%), and 98% (97%–98%), respectively.

Conclusions
The 2023 Duke-ESC criteria demonstrated significant improvements in sensitivity compared to the 2015 version, although one-third of episodes were classified as possible IE by both versions.
Cardiac tamponade due to right coronary artery perforation following pacemaker implantation: a case report
Authors: Alaoui-Ismaili Zakaria , Klein Anika , Moeller Jacob Eifer , Bo Lindhardt Tommi , Hassager Christian 
Published: July 2024

Abstract

Background
Cardiac tamponade due to perforation of a cardiac chamber is a rare complication occurring in only 0.3% of patients undergoing permanent pacemaker (PM) implantation. Notably, perforation of the right coronary artery (RCA) following permanent PM implantation has only been reported twice in the literature. We report a rare case of RCA perforation leading to life-threatening cardiac tamponade with symptom onset 4 days after PM implantation

Case summary
A 75-year-old woman underwent permanent PM implantation without any difficulties in placing pacemaker leads and with good thresholds. Four days later, the patient was readmitted in a state of shock due to cardiac tamponade. A blood gas analysis on the bloody pericardial effusion raised suspicion of ongoing arterial bleeding. A CT scan ruled out aortic dissection; instead, the source of bleeding was identified as a perforation in the RCA, which was managed surgically.

Discussion
This case highlights the necessity of coronary artery perforation being among the differential diagnoses of cardiac tamponade after PM implantation, and it stresses the usefulness of performing a blood gas analysis on the bloody pericardial effusion.
The effect of pharmacist-led interventions on the appropriateness and clinical outcomes of anticoagulant therapy: a systematic review and meta-analysis
Authors: Kefale Belayneh , Peterson Gregory M , Mirkazemi Corinne , Bezabhe Woldesellassie M 
Published: July 2024

Abstract

Aim
Although pharmacist-led interventions in anticoagulant (AC) therapy are widely accepted, there is a lack of evidence comparing their effectiveness with usual care in terms of AC therapy appropriateness and clinical outcomes. We aimed to estimate the comparative effectiveness of pharmacist-led interventions on the appropriateness and clinical outcomes of AC therapy.

Methods and results
Adhering to the PRISMA guidelines, we searched PubMed, EMBASE, and Scopus databases to identify randomized controlled trials and quasi-experimental and cohort studies published between 2010 and 2023. A random-effects model was used to calculate pooled intervention effects. We assessed heterogeneity (using Higgins’ I2 and Cochran's Q) and publication bias (using Egger's test, the trim-and-fill method, and visualization of the funnel plot). In total, 35 studies involving 10 374 patients in the intervention groups and 11 840 in the control groups were included. The pharmacist-led interventions significantly improved the appropriateness of AC therapy [odds ratio (OR): 3.43, 95% confidence interval (CI): 2.33–5.06, P &lt; 0.01]. They significantly decreased total bleeding [relative risk (RR): 0.75, 95% CI: 0.58–0.96, P = 0.03) and hospitalization or readmission (RR: 0.64, 95% CI: 0.41–0.99, P = 0.04). However, the impact of the pharmacist-led interventions on thromboembolic events (RR: 0.69, 95% CI: 0.46–1.02, P = 0.07) and mortality (RR: 0.76, 95% CI: 0.51–1.13, P = 0.17) was not significant.

Conclusion
Pharmacist-led interventions demonstrated superior outcomes in optimizing AC therapy compared with usual care. Further research is needed to evaluate pharmacist-led interventions’ cost-effectiveness and long-term sustainability.
PROSPERO registration number: CRD42023487362.
Participation in biodiversity schemes and environmental performance: overall farm-level impact and spillover effects on non-enrolled land
Authors: Zimmert Franziska , Jan Pierrick , Bonev Petyo 
Published: July 2024

Abstract
We evaluate how the share of farmland enrolled in agri-environmental schemes affects the biodiversity friendliness of management practices both on the overall farmland as well as on the enrolled and non-enrolled plots separately. To this end, we prepare a unique dataset for Switzerland that links farm-level accountancy data to plot-level data on management practices and their impact on organismal biodiversity. Our estimates allow us to calculate bounds for potential spillovers on non-enrolled farmland. We find that these are positive but small in magnitude. The effect on the overall farmland is also positive but again rather small.
Dissolved organic phosphorus bond-class utilization by Synechococcus
Authors: Waggoner Emily M , Djaoudi Kahina , Diaz Julia M , Duhamel Solange 
Published: July 2024

Abstract
Dissolved organic phosphorus (DOP) contains compounds with phosphoester, phosphoanhydride, and phosphorus–carbon bonds. While DOP holds significant nutritional value for marine microorganisms, the bioavailability of each bond-class to the widespread cyanobacterium Synechococcus remains largely unknown. This study evaluates bond-class specific DOP utilization by Synechococcus strains from open and coastal oceans. Both strains exhibited comparable growth rates when provided phosphate, a phosphoanhydride [3-polyphosphate and 45-polyphosphate], or a DOP compound with both phosphoanhydride and phosphoester bonds (adenosine 5′-triphosphate). Growth rates on phosphoesters [glucose-6-phosphate, adenosine 5′-monophosphate, bis(4-methylumbelliferyl) phosphate] were variable, and neither strain grew on selected phosphorus–carbon compounds. Both strains hydrolyzed 3-polyphosphate, then adenosine 5′-triphosphate, and lastly adenosine 5′-monophosphate, exhibiting preferential enzymatic hydrolysis of phosphoanhydride bonds. The strains’ exoproteomes contained phosphorus hydrolases, which combined with enhanced cell-free hydrolysis of 3-polyphosphate and adenosine 5′-triphosphate under phosphate deficiency, suggests active mineralization of phosphoanhydride bonds by these exoproteins. Synechococcus alkaline phosphatases presented broad substrate specificities, including activity toward the phosphoanhydride 3-polyphosphate, with varying affinities between strains. Collectively, these findings underscore the potentially significant role of compounds with phosphoanhydride bonds in Synechococcus phosphorus nutrition and highlight varied growth and enzymatic responses to molecular diversity within DOP bond-classes, thereby expanding our understanding of microbially mediated DOP cycling in marine ecosystems.
Relational Epistemologies: Friendship and Reading in Shida Bazyar’s Drei Kameradinnen
Authors: Schwarz Miriam 
Published: July 2024

Abstract
This article demonstrates that friendship is a productive concept through which to analyse the narrative voice and structure in Shida Bazyar’s Drei Kameradinnen (2021). Drawing on Max Czollek’s ‘Theatre of Integration’, I argue that the friendship between the three protagonists allows us to describe marginalized experiences without recentring the dominant German discourse. Their friendship is the source of the epistemic advantage as theorized by José Medina: by listening carefully and repeatedly to their friends’ stories, the protagonists produce knowledge about structural injustices. I argue that the novel ultimately proposes friendship as a model for reading that renders the underlying structures of narrativized marginalized experience intelligible. As an example, this article provides a close reading of one of the anecdotes in the novel. Inspired by Susan S. Lanser and Shlomith Rimmon-Kenan’s ‘Narratology at the Checkpoint’, I show that Bayzar’s novel highlights how traditional narrative structures do not lend themselves to describing marginalized experiences.
A Pn magnitude scale mb(Pn) for earthquakes along the equatorial Mid-Atlantic Ridge
Authors: Kim Won-Young , de Melo Guilherme W S , Assumpção Marcelo 
Published: July 2024

SUMMARY
We developed a short-period Pn magnitude scale mb(Pn) for earthquakes along the equatorial Mid-Atlantic Ridge. Due to low signal-to-noise ratios, teleseismic body wave magnitude and long-period surface wave magnitude cannot be confidently determined for small earthquakes of mb &lt; 4. Local magnitude scales are also not useful for these events because the oceanic environment does not allow the propagation of crustal phases. However, regional high-frequency Pn waves from these small- to moderate-size (mb 3–6) earthquakes are well recorded in the equatorial Atlantic region and can be used to assign magnitudes. We measured over 2041 Pn peak amplitudes on vertical records from about 21 stations in northeastern Brazil and 11 stations in western Africa in the distance range of 700–3700 km. We analysed data from 189 events from the global centroid moment tensor catalogue to tie our mb(Pn) scale to Mw so that seismic moments can be readily estimated. Pn arrivals show apparent group velocity between 7.9 km s−1 at short ranges (∼1000 km) and up to 9.1 km s−1 at 3500 km. The measured peak amplitudes have a frequency between 0.8 and 3 Hz at 1000–1800 km, but at greater distances, 1800–3700 km, they show a remarkably consistent frequency of about 0.8 Hz. The peak amplitude attenuates at a higher rate at short distances (∼0.65 magnitude units between 700 and 2000 km) but attenuates at a lower rate at long distances (∼0.35 magnitude units between 2000 and 3700 km). The low rate of amplitude decay with distance and nearly constant frequency content of the peak amplitudes suggest that Pn waves propagate efficiently in the lower part of the upper mantle in the equatorial Atlantic Ocean basins. These are important attributes of oceanic Pn waves that can be used to assign magnitude for small- to moderate-size earthquakes in the equatorial mid-Atlantic region. The estimated station corrections correlate well with upper mantle low-velocity anomalies, especially in Brazil.
International Legal Framework Governing Assessment of Damages Caused to Foreign Investors in Armed Conflict
Authors: Sabahi Borzu , Rahimi Dizgovin Farshad 
Published: July 2024

Abstract
Disputes arising from armed conflicts are on the rise, raising various complex legal issues. This article examines standards applicable to assessing damages arising from armed conflicts. The existing treaties, cases and commentaries show a complex and tangled landscape of rules and principles governing damages in the context of armed conflicts. While the vast majority of investment treaties contain war clauses that appear to prescribe special rules for the assessment of damages, most tribunals have refused to apply the lex specialis principle and have instead used the Chorzow Factory principle. Hence, more consistency and predictability would be needed in this connection which can be achieved in the form a dedicated working group.
Inhibition of Fusarium graminearum growth and spore germination by a Streptomyces amritsarensis strain capable of killing and growing on Microcystis scum
Authors: Hou Kaiyu , Wang Jiayu , Li Xu , Feng Junzhou , Yang Caiyun , Zhang Xiaohui , Guo Jianlin , Dai Xianzhu 
Published: July 2024

Abstract

Aims
Developing energy-saving and ecofriendly strategies for treating harvested Microcystis biomass.

Methods and Results
Streptomyces amritsarensis HG-16 was first reported to effectively kill various morphotypes of natural Microcystis colonies at very high cell densities. Concurrently, HG-16 grown on lysed Microcystis maintained its antagonistic activity against plant pathogenic fungus Fusarium graminearum. It could completely inhibit spore germination and destroy mycelial structure of F. graminearum. Transcriptomic analysis revealed that HG-16 attacked F. graminearum in a comprehensive way: interfering with replication, transcription, and translation processes, inhibiting primary metabolisms, hindering energy production and simultaneously destroying stress-resistant systems of F. graminearum.

Conclusions
The findings of this study provide a sustainable and economical option for resource reclamation from Microcystis biomass: utilizing Microcystis slurry to propagate HG-16, which can subsequently be employed as a biocontrol agent for managing F. graminearum.
Augmenting clinicians’ analytical workflow through task-based integration of data visualizations and algorithmic insights: a user-centered design study
Authors: Scholich Till , Raj Shriti , Lee Joyce , Newman Mark W 
Published: July 2024

Abstract

Objectives
To understand healthcare providers’ experiences of using GlucoGuide, a mockup tool that integrates visual data analysis with algorithmic insights to support clinicians’ use of patientgenerated data from Type 1 diabetes devices.

Materials and Methods
This qualitative study was conducted in three phases. In Phase 1, 11 clinicians reviewed data using commercial diabetes platforms in a think-aloud data walkthrough activity followed by semistructured interviews. In Phase 2, GlucoGuide was developed. In Phase 3, the same clinicians reviewed data using GlucoGuide in a think-aloud activity followed by semistructured interviews. Inductive thematic analysis was used to analyze transcripts of Phase 1 and Phase 3 think-aloud activity and interview.

Results
3 high level tasks, 8 sub-tasks, and 4 challenges were identified in Phase 1. In Phase 2, 3 requirements for GlucoGuide were identified. Phase 3 results suggested that clinicians found GlucoGuide easier to use and experienced a lower cognitive burden as compared to the commercial diabetes data reports that were used in Phase 1. Additionally, GlucoGuide addressed the challenges experienced in Phase 1.

Discussion
The study suggests that the knowledge of analytical tasks and task-specific visualization strategies in implementing features of data interfaces can result in tools that lower the perceived burden of engaging with data. Additionally, supporting clinicians in contextualizing algorithmic insights by visual analysis of relevant data can positively influence clinicians’ willingness to leverage algorithmic support.

Conclusion
Task-aligned tools that combine multiple data-driven approaches, such as visualization strategies and algorithmic insights, can improve clinicians’ experience in reviewing device data.
Automated design and optimization of distributed filter circuits using reinforcement learning
Authors: Gao Peng , Yu Tao , Wang Fei , Yuan Ru-Yue 
Published: July 2024

Abstract
Designing distributed filter circuits (DFCs) is complex and time-consuming, involving setting and optimizing multiple hyperparameters. Traditional optimization methods, such as using the commercial finite element solver High-Frequency Structure Simulator to enumerate all parameter combinations with fixed steps and then simulate each combination, are not only time-consuming and labor-intensive but also rely heavily on the expertise and experience of electronics engineers, making it difficult to adapt to rapidly changing design requirements. Additionally, these commercial tools struggle with precise adjustments when parameters are sensitive to numerical changes, resulting in limited optimization effectiveness. This study proposes a novel end-to-end automated method for DFC design. The proposed method harnesses reinforcement learning (RL) algorithms, eliminating the dependence on the design experience of engineers. Thus, it significantly reduces the subjectivity and constraints associated with circuit design. The experimental findings demonstrate clear improvements in design efficiency and quality when comparing the proposed method with traditional engineer-driven methods. Furthermore, the proposed method achieves superior performance when designing complex or rapidly evolving DFCs, highlighting the substantial potential of RL in circuit design automation. In particular, compared with the existing DFC automation design method CircuitGNN, our method achieves an average performance improvement of 8.72%. Additionally, the execution efficiency of our method is 2000 times higher than CircuitGNN on the CPU and 241 times higher on the GPU.