bluuebunny/crossref_metadata_2025_split huggingface dataset:
When a Good Flap Turns Bad: A Temporal Predictive Model for Free Flap Complications
Authors: Kim Dylan K. , Aschen Seth Z. , Rohde Christine H. 
Published: March 2024

Abstract
Background Microsurgical cases are complex plastic surgery procedures with a significant risk of acute postoperative complications. In this study, we use a large-scale database to investigate the temporal progression of complications after microsurgical procedures and the risk imparted by acute postoperative complications on subsequent reconstructive outcomes.
Methods Microsurgery cases were extracted from the National Surgical Quality Improvement Program database by Current Procedural Terminology codes. Postoperative complications were collected for 30 days after surgery and stratified into four temporal periods (postoperative days [PODs] 0–6, 7–13, 14–20, 21–30). Postoperative complication occurrences were incorporated into a weighted multivariate logistic regression model to identify significant predictors of adverse outcomes (p < 0.05). Separately, a regression model was calculated for the time between index operation and reoperation and additional complications.
Results The final cohort comprised 19,517 patients, 6,140 (31.5%) of which experienced at least one complication in the first 30 days after surgery. The occurrence of prior complications in the postoperative period was a significant predictor of future adverse outcomes following the initial week after surgery (p < 0.001). Upon predictive analysis, overall model performance was highest in PODs 7 to 13 (71.1% accuracy and the area under a receiver operating characteristic curve 0.684); 2,578 (13.2%) patients underwent at least one reoperation within the first 2 weeks after surgery. The indication for reoperation (p < 0.001) and number of days since surgery (p = 0.0038) were significant predictors of future complications after reoperation.
Conclusion Prior occurrence of complications in an earlier postoperative week, as well as timing and nature of reoperation, were shown to be significant predictors of future complications.
Recreating relevance: translated Arabic idioms through a relevance theory lens
Authors: Lahiani Raja 
Published: March 2024

AbstractThis study uses relevance theory as an insightful heuristic model for translation quality assessment. As translation inherently involves communicating across contextual boundaries, the notion of relevance optimization continues to be a fruitful approach for research and practice. This investigation illuminates idioms as culturally embedded linguistic conventions, semantically abstruse, yet structurally crystallized. Idioms accrue fixed meanings within a speech community rather than by compositing constituent denotations. Classical Arabic poetry extensively harnesses idioms, not as ornamental substitutes for literal statements, but as intensive versions thereof. Losing idioms risks muting tonal intensity. By examining an Arabic verse exemplifying two idioms, and assessing thirteen English and French translations, this study reveals that an effective idiom translation requires looking beyond lexical equivalence. Rather, contextually unraveling connotative lexicons and reconstituting the idiom to achieve equivalent effects and optimal relevance is key. Thereby, successful idiom translation is defined not by formal correspondence, but by conveying implicated meanings and intended impacts. This work elucidates idiom translatability through an interdisciplinary relevance prism, advancing theory and equipping practitioners to navigate the interlingual labyrinth.
From Bush to Biden: British public opinion and the image of America
Authors: Clements Ben 
Published: March 2024

AbstractThe scholarly literature on US–UK relations has been marked by recurrent debate over the health and utility of the special relationship, recently enlivened by the policy tensions and political turbulence of the Trump presidency. The literature has also seen a social and cultural ‘turn’, with a growing focus on the broader linkages between the two countries’ societies and cultures. However, there has been limited analysis of public opinion in Britain in recent scholarly research. This article examines the ‘image of America’ in British public opinion in the twenty-first century, across recent Republican and Democratic presidencies. It uses data from the annual Pew Global Attitudes survey series and Transatlantic Trends survey series to undertake systematic analysis of these quantitative data sources. It examines the following areas: the performance and policies of presidents from Bush to Biden, the US and its people, the state of bilateral relations, and NATO. It examines aggregate-level opinion and also pays close attention to views across different societal groups, based on demographic characteristics, party support and left–right ideology. The paper makes a significant and distinctive contribution to scholarly research into US–UK relations.
Lattice dynamics and heat transport in zeolitic imidazolate framework glasses
Authors: Yuan Chengyang , Sørensen Søren S. , Du Tao , Zhang Zhongyin , Song Yongchen , Shi Ying , Neuefeind Jörg , Smedskjaer Morten M. 
Published: March 2024

The glassy state of zeolitic imidazolate frameworks (ZIFs) has shown great potential for energy-related applications, including solid electrolytes. However, their thermal conductivity (κ), an essential parameter influencing thermal dissipation, remains largely unexplored. In this work, using a combination of experiments, atomistic simulations, and lattice dynamics calculations, we investigate κ and the underlying heat conduction mechanism in ZIF glasses with varying ratios of imidazolate (Im) to benzimidazolate (bIm) linkers. The substitution of bIm for Im tunes the node–linker couplings but exhibits only a minor impact on the average diffusivity of low-frequency lattice modes. On the other hand, the linker substitution induces significant volume expansion, which, in turn, suppresses the contributions from lattice vibrations to κ, leading to decreased total heat conduction. Furthermore, spatial localization of internal high-frequency linker vibrations is promoted upon substitution, reducing their mode diffusivities. This is ascribed to structural deformations of the bIm units in the glasses. Our work unveils the detailed influences of linker substitution on the dual heat conduction characteristics of ZIF glasses and guides the κ regulation of related hybrid materials in practical applications.
Resonances in electron scattering from H2 around the H(2l) + H−(1s2) dissociation limit
Authors: Bingham Peter S , Gorfinkiel Jimena D 
Published: March 2024

Abstract
We have performed high-level R-matrix scattering calculations to identify and characterise the resonances potentially involved in dissociative electron attachment (DEA) of H2 at around 14.5 eV. DEA experiments (Krishnakumar et al 2018 Nat. Phys.
4 149) indicate an asymmetric production of H− around this scattering energy that can only be explained if more than one resonance is involved in the process. The theoretical description of the anion distribution requires accurate data (energy and lifetime) for the resonances involved, currently missing from the literature. We attempt to provide these data for all the resonances identified in the appropriate energy range for bond lengths 1.1 a
0 to 4.0 a
0. Our resonance results are insufficient to confirm the validity of a simple model of anion yield asymmetry used to reproduce the experimental results.
Calculation of forbidden transitions in doubly ionized neodymium (Nd III) of interest for kilonova nebular phase analysis
Authors: Maison L , Palmeri P , Quinet P 
Published: March 2024

Abstract
In this paper, we present new radiative rate calculations for forbidden transitions, namely magnetic dipole (M1) and electric quadrupole (E2) transitions, involving all the experimentally known energy levels within the 4f4 ground configuration of doubly ionized neodymium (Nd III). To do this, and in order to estimate the accuracy of the results obtained, two independent computational approaches based on the pseudo-relativistic Hartree–Fock and the fully relativistic Dirac-Hartree–Fock methods were used. The transition probabilities calculated with these two approaches showed good overall agreement, in particular for the most intense forbidden lines for which the relative differences did not exceed 25%. From these new atomic data, some astrophysical implications were deduced such as the possibility (or not) of observing some [Nd III] lines on the infrared spectra recorded by the James Webb Space Telescope, more precisely for the analysis of nebular phase kilonova spectra following compact object mergers.
Phase diagram and crossover phases of topologically ordered graphene zigzag nanoribbons: role of localization effects
Authors: Le Hoang-Anh , Lee In-Hwan , Kim Young Heon , Eric Yang S-R 
Published: March 2024

Abstract
We computed the phase diagram of zigzag graphene nanoribbons as a function of on-site repulsion, doping, and disorder strength. The topologically ordered phase undergoes topological phase transitions into crossover phases, which are new disordered phases with non-universal topological entanglement entropy that exhibits significant variance. We explored the nature of non-local correlations in both the topologically ordered and crossover phases. In the presence of localization effects, strong on-site repulsion and/or doping weaken non-local correlations between the opposite zigzag edges of the topologically ordered phase. In one of the crossover phases, both

e
−

/

2

solitonic fractional charges and spin-charge separation were absent; however, charge-transfer correlations between the zigzag edges were possible. Another crossover phase contains solitonic

e
−

/

2

fractional charges but lacks charge transfer correlations. We also observed properties of non-topological, strongly disordered, and strongly repulsive phases. Each phase on the phase diagram exhibits a different zigzag-edge structure. Additionally, we investigated the tunneling of solitonic fractional charges under an applied voltage between the zigzag edges of undoped topologically ordered zigzag ribbons, and found that it may lead to a zero-bias tunneling anomaly.
Direction-dependent conductivity in planar Hall set-ups with tilted Weyl/multi-Weyl semimetals
Authors: Ghosh Rahul , Mandal Ipsita 
Published: March 2024

Abstract
We compute the magnetoelectric conductivity tensors in planar Hall set-ups, which are built with tilted Weyl semimetals (WSMs) and multi-Weyl semimetals (mWSMs), considering all possible relative orientations of the electromagnetic fields (

E

and

B

) and the direction of the tilt. The non-Drude part of the response arises from a nonzero Berry curvature in the vicinity of the WSM/mWSM node under consideration. Only in the presence of a nonzero tilt do we find linear-in-

|

B

|

terms in set-ups where the tilt-axis is not perpendicular to the plane spanned by

E

and

B

. The advantage of the emergence of the linear-in-

|

B

|

terms is that, unlike the various

|

B

|
2

-dependent terms that can contribute to experimental observations, they have purely a topological origin, and they dominate the overall response-characteristics in the realistic parameter regimes. The important signatures of these terms are that they (1) change the periodicity of the response from π to 2π, when we consider their dependence on the angle θ between E and B; and (2) lead to an overall change in sign of the conductivity depending on θ, when measured with respect to the

B

=
0

case.
BiCFormer: Swin Transformer based model for classification of benign and malignant pulmonary nodules
Authors: Zhao Xiaoping , Xu Jingjing , Lin Zhichen , Xue Xingan 
Published: March 2024

Abstract
Pulmonary cancer is one of the most common and deadliest cancers worldwide, and the detection of benign and malignant nodules in the lungs can be an important aid in the early diagnosis of lung cancer. Existing convolutional neural networks inherit their limitations by extracting global contextual information, and in most cases prove to be less efficient in obtaining satisfactory results. Transformer-based deep learning methods have obtained good performance in different computer vision tasks, and this study attempts to introduce them into the task of computed tomography (CT) image classification of lung nodules. However, the problems of sample scarcity and difficulty of local feature extraction in this field. To this end, we are inspired by Swin Transformer to propose a model named BiCFormer for the task of classifying and diagnosing CT scan images of lung nodules. Specifically, first we introduce a multi-layer discriminator generative adversarial network module for data augmentation to assist the model in extracting features more accurately. Second, unlike the encoder of traditional Transformer, we divide the encoder part of BiCFormer into two parts: bi-level coordinate (BiC) and fast-partial-window (FPW). The BiC module has a part similar to the traditional channel attention mechanism is able to enhance the performance of the model, and is more able to enhance the representation of attention object features by aggregating features along two spatial directions. The BiC module also has a dynamic sparse attention mechanism that filters out irrelevant key-value pairs in rough regions, allowing the model to focus more on features of interest. The FPW module is mainly used to reduce computational redundancy and minimize feature loss. We conducted extensive experiments on the LIDC-IDRI dataset. The experimental results show that our model achieves an accuracy of 97.4% compared to other studies using this dataset for lung nodule classification, making it an effective and competitive method.
Microscopic derivation of Vlasov–Dirac–Benney equation with short-range pair potentials
Authors: Feistl Manuela , Pickl Peter 
Published: March 2024

Abstract
We present a probabilistic proof of the mean-field limit and propagation of chaos of a N-particle system in three dimensions with pair potentials of the form

N

3
β
−
1

ϕ
(

N

β

x
)

for

β
∈

[
0
,

1
7

]

and

ϕ
∈

L

∞

(

R

3

)
∩

L
1

(

R

3

)

. In particular, for typical initial data, we show convergence of the Newtonian trajectories to the characteristics of the Vlasov–Dirac–Benney system with delta-like interactions. The proof is based on a Gronwall estimate for the maximal distance between the exact microscopic dynamics and the approximate mean-field dynamics. Thus our result leads to a derivation of the Vlasov–Dirac–Benney equation from the microscopic N-particle dynamics with a strong short range force.
Ammonia synthesis by plasma catalysis in an atmospheric RF helium plasma
Authors: Vervloedt S C L , von Keudell A 
Published: March 2024

Abstract
The in-plasma-catalytic synthesis of ammonia from nitrogen and hydrogen admixed to a helium RF plasma is studied with infrared absorption spectroscopy, optical emission spectroscopy, and through chemical kinetics modeling. Sandblasted glass is used as support for iron, platinum, and copper catalysts up to a surface temperature of 150

∘

C

. It is shown that the optimum ammonia production occurs at very small N2/(N2+H2) ratios with an increase of concentration with plasma power. The global kinetic modelling agrees well with the data for a variation of the N2+H2 admixture and the absorbed plasma power. The introduction of the catalyst enhances ammonia production by up to a factor of 2. Based on the comparison with the modelling, this is linked to a change in the electron kinetics due to the presence of the catalyst. It is postulated that introducing the catalyst increases the reduced electric field because it reduces the secondary electron emission coefficient. As a result, the dissociation of N2 is stimulated, thereby enhancing the NH3 formation. These experiments show that the impact of the catalyst on the plasma performance in noble gas-diluted RF plasmas can be more important than the impact of the plasma on any catalytic surface process.
Making the leap. Part I. Modelling the reconstructed lensing convergence PDF from cosmic shear with survey masks and systematics
Authors: Barthelemy Alexandre , Halder Anik , Gong Zhengyangguang , Uhlemann Cora 
Published: March 2024

Abstract
The last few years have seen the development of a promising theoretical framework for statistics of the cosmic large-scale structure — the theory of large deviations (LDT) for modelling weak-lensing one-point statistics in the mildly nonlinear regime. The goal of this series of papers is to make the leap and lay out the steps to perform an actual data analysis with this theoretical tool. Building upon the LDT framework, in this work (paper I) we demonstrate how to accurately model the Probability Distribution Function (PDF) of a reconstructed Kaiser-Squires convergence field under a realistic mask, that of the third data release of the Dark Energy Survey (DES). We also present how weak lensing systematics and higher-order lensing corrections due to intrinsic alignments, shear biases, photo-z errors and baryonic feedback can be incorporated in the modelling of the reconstructed convergence PDF. In an upcoming work (paper II) we will then demonstrate the robustness of our modelling through simulated likelihood analyses, the final step required before applying our method to actual data.
Isotope impact on Alfvén eigenmodes and fast ion transport in DIII-D
Authors: Van Zeeland M.A. , Bass E. , Du X.D. , Heidbrink W.W. , Chrystal C. , Crocker C. , DeGrandchamp G. , Haskey S. , Liu D. , Gonzalez-Martin J. , Thome K.E. , Yu G. , Zhu Y. 
Published: March 2024

Abstract
Measurements of beam driven Alfvén Eigenmode (AE) activity in matched deuterium (D) and hydrogen (H) DIII-D plasmas show a dramatic difference in unstable mode activity and fast ion transport for a given injected beam power. The dependence of the unstable AE spectrum in reversed magnetic shear plasmas on beam and thermal species is investigated in the current ramp by varying beam power in a sequence of discharges for fixed thermal and beam species at fixed density. In general, a spectrum of Reversed Shear Alfvén Eigenmodes (RSAEs) and Toroidal Alfvén Eigenmodes (TAEs) are driven unstable with sub-Alfvénic D beam injection while primarily only RSAEs are driven unstable for the H beam cases investigated. Further, for a given beam power, the driven AE amplitude is always reduced with H beams relative to D and for H thermal plasma relative to pure D or mixed D/H plasmas. Estimates of the fast ion stored energy combined with modeling using the hybrid kinetic-MHD code MEGA indicate that the dominant mechanism contributing to the difference between H and D beam drive is the faster classical slowing down of H beam ions relative to D and the resultant lower beam ion pressure. Calculations of the AE induced stored energy deficits using the reduced critical gradient model TGLFEP show quantitative agreement with the observed dependencies on injected power, isotope and minimum safety factor.
Borane (B
m
H
n
), Hydrogen rich, Proton Boron fusion fuel materials for high yield laser-driven Alpha sources
Authors: Turcu I.C.E. , Margarone D. , Giuffrida L. , Picciotto A. , Spindloe C. , Robinson A.P.L. , Batani D. 
Published: March 2024

Abstract
We propose for the first time, a new fuel-material for laser-driven Proton Boron (P-B) fusion nuclear reactions. We propose, Hydrogen rich, Borane (B
m
H
n
) materials as fusion fuel as compared to Boron Nitride (BN) presently used. We estimate more than 10-fold increase in the yield of nuclear fusion reactions, and Alpha-prticle flux, when, for example Ammonia Borane (BNH6) laser-target material will be used compared to the state of the art normalized flux ∼108 Alphas/sr/J from BN targets. BNH6 contains ∼1000× higher concentration of Hydrogen compared to BN. We report the manufacture
of the
first solid-pellets Ammonia Borane laser-targets. To obtain high Flux Alpha sources from repetitive lasers we propose new BNH6 target geometries: liquid (molten) droplets/jets; or translated tape- or disc-targets coated with BNH6 powder. Targets would be irradiated in low pressure, ambient buffer gas. To enhance the fusion/Alpha yield of ultra-high intensity PetaWatt laser-target interaction we propose nano- and micro-structured Borane targets.
As applications, we propose to use the Alpha-driven nuclear reactions inside the laser-driven Borane targets for new schemes to produce short-lived medical radioisotopes.
Such laser-driven radioisotope beamlines would be installed directly in
hospitals. Borane materials, like Diborane (6), B2H6, are also proposed as nuclear-fuels for laser-driven Proton-Boron fusion energy generation. The high dilution of Boron in Hydrgen B/H = 33% would need to be further enahnced to B/H < 15% to cut radiation losses from the hot and dense fusion pellet.
An emerging tool in healthcare: wearable surface-enhanced Raman Spectroscopy
Authors: Kitahama Yasutaka , Egawa Mariko , Dwivedi Prabhat K , Yang William , Goda Keisuke 
Published: March 2024

Abstract
This perspective explores the progressive domain of wearable surface-enhanced Raman spectroscopy (SERS), underscoring its potential to revolutionize healthcare. As an advanced variation of traditional Raman spectroscopy, SERS offers heightened sensitivity in detecting molecular vibrations. Applied in wearable technology, it provides a mechanism for continuous, non-invasive, real-time monitoring of chemical and biomolecular processes in the human body through biofluids such as sweat and tears. This underscores its immense potential in enabling early disease detection and facilitating personalized medicine. However, the adoption of wearable SERS is not without challenges, which include device miniaturization, reliable biofluid sampling, user comfort, biocompatibility, and data interpretation. Nevertheless, this perspective emphasizes that the fast-paced advancements in nanotechnology and data sciences render these challenges surmountable. In summary, the perspective presents wearable SERS as a promising innovation in healthcare’s future landscape. It has the potential to enhance individual health outcomes significantly and lower healthcare costs by promoting a preventive health management approach.
The Linguistic Roots of Ancient Greek
Authors: Ringe Don 
Published: March 2024

Abstract
This book traces the development of Proto-Indo-European into Ancient Greek of about the 5th century bc, attempting to recover the relative chronology of changes whenever possible and to explore in detail how the Ancient Greek dialects diversified. It is roughly parallel to From Proto-Indo-European to Proto-Germanic (2nd ed.; Oxford University Press, 2017) and is intended for readers who have at least begun to learn Ancient Greek and are interested in its prehistory. Readers should be aware that this book is not a complete historical and comparative grammar of Greek.
The phonological development of Proto-Greek
Authors: Ringe Don 
Published: March 2024

Abstract
This chapter discusses the regular sound changes that took place in the development of Greek down to (approximately) the point at which the dialects began to diverge. Chronological relationships between the changes are determined, to the extent that is possible; the attestation of Mycenaean Greek in the Linear B script is employed as a fixed chronological point. Developments of laryngeals are discussed in exceptional detail because they were complex. The sources and development of Proto-Greek *h and the development of inherited *y, which were also complex, are discussed in detail. More straightforward changes, discussed more briefly, include early developments of nasals and of obstruent clusters, conditioned unrounding of labiovelars, aspirate devoicing, an odd loss of voiceless dentals stops before word-final *i, and the development of the distinctive Greek restrictions on the placement of accent.