bluuebunny/crossref_metadata_2025_split huggingface dataset:
A feasibility study of robot-assisted percutaneous reduction and fixation technique for treating posterolateral depression tibial plateau fractures
Authors: Lu Yao , Xu YiBo , Ren Cheng , Li Zhong , Zhang Kun , Huang Qiang , Ma Teng 
Published: December 2023

AbstractPosterolateral (PL)-depression fractures of the tibial plateau are difficult to manage. The aim of this study was: (1) to present our experience with a novel technique of robot-assisted percutaneous reduction and fixation and (2) to compare it with the traditional percutaneous screw osteosynthesis (PSO) technique for the treatment of PL-depression tibial plateau fractures. The clinical data of patients with PL-depression tibial plateau fractures treated by robot-assisted percutaneous reduction and fixation technique and traditional PSO technique from January 2017 to January 2021 were retrospectively analyzed. Among them, there were 18 cases in the robot-assisted group (RA group) and 23 cases in the PSO group. All fractures were unilateral, closed and fresh PL-depression fractures of the tibial plateau. Patients in the RA group were treated by robot assisted reduction and minimally invasive absorbable screw fixation. The PSO group was treated by closed reduction and percutaneous absorbable screw osteosynthesis. The incision length, operation time, intraoperative blood loss, fluoroscopic times, inpatient time, weight training time and postoperative complications of the two groups were statistically analyzed. The Rasmussen radiological score was used to assess the reduction quality after operation while the Rasmussen functional score was used to evaluate knee joint functions at one year postoperatively. All patients were followed for at least one year. There was no significant difference in demographic information between the two groups (p > 0.05). Compared with the PSO group, the RA group showed less fluoroscopic times and better Rasmussen radiological and functional scores (p < 0.05). Besides, there was no significant difference in the incidence of postoperative complications between the two groups (p > 0.05). The novel robot-assisted percutaneous reduction and fixation technique had the characteristics of less radiation, accurate reduction and fixation. It could accelerate the rehabilitation of patients with PL-depression fractures of the tibial plateau and enable patients to obtain good joint functions.
Looking Upstream to Understand Race/Ethnicity as a Moderator for Poststroke Neuroinflammation and a Social Determinant for Poststroke Aphasia Outcomes
Authors: Evans Elizabeth , Ellis Charles 
Published: December 2023

Introduction:
Over the past decade, the stroke literature has begun to acknowledge and explore explanations for longstanding racial/ethnic differences in stroke outcomes. Poststroke cognitive impairment (PSCI) and poststroke aphasia are two such negative poststroke outcomes where racial/ethnic differences exist. Physiological differences, such as stroke type and lesion size, have been used to partially explain the variation in PSCI and aphasia. However, there is some evidence, although limited, that suggests neuroinflammatory processes as part of allostatic load may be a key contributor to the observed disparities.

Method:
In this tutorial, we explore the influence of race differences in inflammation on poststroke cognitive outcomes. We suggest lifetime stress and other external determinants of health such as neighborhood environment and discriminatory practices through “weathering” explain differences in inflammation. While using an allostatic load framework, we explore the literature focusing specifically on the role of neuroinflammation on poststroke outcomes.

Conclusions:
Examination of the immune response poststroke provides a foundation for understanding the mechanisms of PSCI and poststroke aphasia and the potential contributions of neuroinflammatory processes on poststroke cognitive outcomes. Furthermore, understanding of racial differences in those processes may contribute to a better understanding of racial disparities in general stroke outcomes as well as poststroke aphasia.
Self-domestication
Authors: Shea James 
Published: December 2023

Abstract
This paper explores the career of Wan Kin-lau (1944–1976), a Hong Kong poet and translator who attended the
University of Iowa’s International Writing Program in 1968. He remained in Iowa City and earned a Master of Fine Arts from the
Iowa Writers’ Workshop in 1970. Over half of the poems in Wan’s master’s thesis are self-translations of his poems originally
written in Chinese, although nothing in the thesis indicates that any of the poems are translations. In some cases, Wan
domesticated his self-translations for an American readership, mainly in relation to his critique of the American War in Vietnam.
Contra Venuti’s conceptualization of domestication as enabling “the ethnocentric violence of translation,” Wan’s self-translations
demonstrate that domestication is not simply a matter of subjugation to the dominant culture and can instead serve as an act of
defiance in which domestic audiences confront uncomfortable political realities as their own. Translation was at the center of
Wan’s short life, both in his poetry and other literary projects, and in his translation of complex Chinese cultural and political
issues for American audiences, especially in relation to the Baodiao movement.
The rise and fall and rise of the digraph 〈oa〉 in English
Authors: Stenbrenden Gjertrud F. 
Published: December 2023

Abstract
The present paper examines the history of the digraph 〈oa〉 in English: it is relatively rare in OE and early ME, falls out of use in late ME, and reappears in the late fifteenth century. Different lexemes have been spelt with 〈oa〉 in the different language periods, but in the majority of cases, the vowel so represented is the reflex of early ME /ɔ:/ or OE o in an open syllable; hence, the digraph is clearly phonetically conditioned. The paper also investigates the graphotactic constraints on the orthographic variants 〈oa〉, 〈oCe〉, 〈oe〉.
Activating two-dimensional semiconductors for photocatalysis: a cross-dimensional strategy
Authors: Botella R , Cao W , Celis J , Fernández-Catalá J , Greco R , Lu L , Pankratova V , Temerov F 
Published: December 2023

Abstract
The emerging two-dimensional (2D) semiconductors substantially extend materials bases for versatile applications such as semiconductor photocatalysis demanding semiconductive matrices and large surface areas. The dimensionality, while endowing 2D semiconductors the unique properties to host photocatalytic functionality of pollutant removal and hydrogen evolution, hurdles the activation paths to form heterogenous photocatalysts where the photochemical processes are normally superior over these on the mono-compositional counterparts. In this perspective, we present a cross-dimensional strategy to employ the nD (n = 0–2) clusters or nanomaterials as activation partners to boost the photocatalytic activities of the 2D semiconductors. The formation principles of heterogenous photocatalysts are illustrated specifically for the 2D matrices, followed by selection criteria of them among the vast 2D database. The computer investigations are illustrated in the density functional theory route and machine learning benefitted from the vast samples in the 2D library. Synthetic realizations and characterizations of the 2D heterogenous systems are introduced with an emphasis on chemical methods and advanced techniques to understand materials and mechanistic studies. The perspective outlooks cross-dimensional activation strategies of the 2D materials for other applications such as CO2 removal, and materials matrices in other dimensions which may inspire incoming research within these fields.
Defect induced ferromagnetism in Mn3Ga
Authors: Malik S V , Dias E T , Babu P D , Priolkar K R 
Published: December 2023

Abstract
Ni-substituted Mn3Ga displays a weak ferromagnetism embedded in an antiferromagnetic (AF) phase. Upon field cooling, the alloy exhibits exchange bias and an open hysteresis loop, signifying kinetic arrest at room temperature. For the first time, a kinetic arrest is seen in a compound due to the first order transition of an embedded defect phase. A systematic study of crystal structure, local structure, and magnetic properties of Mn

3
−
x

Ni
x
Ga (x = 0, 0.25) alloys reveal the origin of ferromagnetism in Mn2.75Ni0.25Ga is due to the segregation of a Heusler-type environment around Ni in the cubic Mn3Ga matrix. Upon temper annealing at 400 ∘C, these local structural defects around the Ni phase separate into a modulated ferromagnetic (FM) Ni-Mn-Ga Heusler phase. A strong interaction between the AF host and the FM defect phase gives rise to exchange bias. The first-order transition of the defect phase seems to be responsible for the observed kinetic arrest in Mn2.75Ni0.25Ga.
Negative stiffness metamaterial with elastic energy dissipation based on conical shell: theoretical solution and experimental study
Authors: Zhang Zhongwen , Yang Yu , Xu Zhao-Dong , Xu Ye-Shou 
Published: December 2023

Abstract
Negative stiffness (NS) metamaterials with the capability of elastic energy dissipation have gained substantial attention for their potential in shock absorption and vibration control. However, their practical application is often limited by their strength and stiffness. This study investigates an NS material that generates the NS phenomenon based on stretching and rotation of conical shells, akin to coned disk springs. This approach enhances the strength and loading capacity of the material compared to metamaterials based on conventional beam or shell structures. To fully understand the behavior of this material, a theoretical framework is presented, followed by a comprehensive validation process involving tests and numerical simulations. The applicability and constraints of the theoretical solution are discussed, and a parametric analysis is undertaken based on the solution. Finally, NS metamaterials based on the proposed mechanism are fabricated and tested, which showcases their strength and elastic energy dissipation capacity.
Degradation of methylene blue through atmospheric pressure glow discharge plasma treatment
Authors: Marak Flossie B F Ch , Joychandra Singh W , Mahanta Deepjyoti , Kapil Nibedita , Phanjom Probin , Loushambam Herojit Singh , Mohanty Smruti R , Aomoa Ngangom 
Published: December 2023

Abstract
The degradation of Methylene Blue (MB) dye through treatment with an atmospheric pressure glow discharge plasma is presented in this work. The set-up used in this work has the advantage of being very simple without any gas supply. Plasma was diagnosed using optical emission spectroscopy, and rotational temperature of the hydroxyl radicals was measured. The effects of plasma current, treatment time, polarity and material of the electrodes on degradation of MB dye were studied. Experimental results showed that the degradation of dye increased with plasma current and treatment time. Polarity of the electrodes also have an effect in that the liquid cathode mode has about 14% higher degradation efficiency than liquid anode mode. Interestingly, it was found that anodic dissolution of copper electrode aids in degradation of MB dye by initiating Fenton like reactions involving copper ions, which was absent in the case of stainless steel electrode. After 40 min of treatment, the maximum degradation efficiency and COD removal rate achieved was 77% and 74% respectively, while the degradation yield obtained was 0.32 g.kW–1.h–1.
Deducing neutron star equation of state from telescope spectra with machine-learning-derived likelihoods
Authors: Farrell Delaney , Baldi Pierre , Ott Jordan , Ghosh Aishik , Steiner Andrew W. , Kavitkar Atharva , Lindblom Lee , Whiteson Daniel , Weber Fridolin 
Published: December 2023

Abstract
The interiors of neutron stars reach densities and temperatures beyond the limits of
terrestrial experiments, providing vital laboratories for probing nuclear physics. While the
star's interior is not directly observable, its pressure and density determine the star's
macroscopic structure which affects the spectra observed in telescopes. The relationship between
the observations and the internal state is complex and partially intractable, presenting
difficulties for inference. Previous work has focused on the regression from stellar spectra of
parameters describing the internal state. We demonstrate a calculation of the full likelihood of
the internal state parameters given observations, accomplished by replacing intractable elements
with machine learning models trained on samples of simulated stars. Our machine-learning-derived
likelihood allows us to perform maximum a posteriori estimation of the parameters of
interest, as well as full scans. We demonstrate the technique by inferring stellar mass and radius
from an individual stellar spectrum, as well as equation of state parameters from a set of
spectra. Our results are more precise than pure regression models, reducing the width of the
parameter residuals by 11.8% in the most realistic scenario. The neural networks will be released
as a tool for fast simulation of neutron star properties and observed spectra.
Joint cosmological and gravitational-wave population inference using dark sirens and galaxy catalogues
Authors: Gray Rachel , Beirnaert Freija , Karathanasis Christos , Revenu Benoît , Turski Cezary , Chen Anson , Baker Tessa , Vallejo Sergio , Romano Antonio Enea , Ghosh Tathagata , Ghosh Archisman , Leyde Konstantin , Mastrogiovanni Simone , More Surhud 
Published: December 2023

Abstract
In the absence of numerous gravitational-wave detections with confirmed electromagnetic
counterparts, the “dark siren” method has emerged as a leading technique of gravitational-wave
cosmology. The method allows redshift information of such events to be inferred statistically from
a catalogue of potential host galaxies. Due to selection effects, dark siren analyses necessarily
depend on the mass distribution of compact objects and the evolution of their merger rate with
redshift. Informative priors on these quantities will impact the inferred posterior constraints on
the Hubble constant (H
0). It is thus crucial to vary these unknown distributions during an
H
0 inference. This was not possible in earlier analyses due to the high computational cost,
restricting them to either excluding galaxy catalogue information, or fixing the
gravitational-wave population mass distribution and risking introducing bias to the H
0
measurement. This paper introduces a significantly enhanced version of the Python package
gwcosmo, which allows joint estimation of cosmological and compact binary population
parameters. This thereby ensures the analysis is now robust to a major source of potential
bias. The gravitational-wave events from the Third Gravitational-Wave Transient Catalogue are
reanalysed with the GLADE+ galaxy catalogue, and an updated, more reliable measurement of H
0 =
69+12
-7 km s-1 Mpc-1 is found (maximum a posteriori probability and 68%
highest density interval). This improved method will enable cosmological analyses with future
gravitational-wave detections to make full use of the information available (both from galaxy
catalogues and the compact binary population itself), leading to promising new independent bounds
on the Hubble constant.
Metropolis Monte Carlo sampling: convergence, localization transition and optimality
Authors: Chepelianskii Alexei D , Majumdar Satya N , Schawe Hendrik , Trizac Emmanuel 
Published: December 2023

Abstract
Among random sampling methods, Markov chain Monte Carlo (MC) algorithms are foremost. Using a combination of analytical and numerical approaches, we study their convergence properties toward the steady state, within a random walk Metropolis scheme. Analyzing the relaxation properties of some model algorithms sufficiently simple to enable analytic progress, we show that the deviations from the target steady-state distribution can feature a localization transition as a function of the characteristic length of the attempted jumps defining the random walk. While the iteration of the MC algorithm converges to equilibrium for all choices of jump parameters, the localization transition changes drastically the asymptotic shape of the difference between the probability distribution reached after a finite number of steps of the algorithm and the target equilibrium distribution. We argue that the relaxation before and after the localization transition is respectively limited by diffusion and rejection rates.
Integration theory for kinks and sphalerons in one dimension
Authors: Manton N S 
Published: December 2023

Abstract
The static kink, sphaleron and kink chain solutions for a single scalar field φ in one spatial dimension are reconsidered. By integration of the Euler–Lagrange equation, or through the Bogomolny argument, one finds that each of these solutions obeys a first-order field equation, an autonomous ODE that can always be formally integrated. We distinguish the BPS case, where the required integral is along a contour in the φ-plane, from the semi-BPS case, where the integral is along a contour in the Riemann surface double-covering the φ-plane, and is generally more complicated.
Base Rates of Performance and Symptom Validity Test Failures in Active Duty and Veteran Samples Referred for Attention-Deficit/Hyperactivity Disorder Evaluation
Authors: Shura Robert D , Armistead-Jehle Patrick 
Published: December 2023

Abstract

Objective
The objective of this study was to determine base rates of response bias in veterans and service members (SM) referred specifically for attention-deficit/hyperactivity disorder (ADHD) evaluation.

Method
Observational study of various performance validity tests (PVTs) and symptom validity tests (SVTs) in a sample of SMs (n = 94) and veterans (n = 504) referred for clinical evaluation of ADHD.

Results
SVT and PVT failure rates were similar between the samples, but they were lower than previous Veterans Affairs (VA) and SM studies that were not exclusive to ADHD evaluations. Invalid reporting across all SVT scales on the Minnesota Multiphasic Personality Inventory and Personality Assessment Inventory was relatively uncommon, with rates of invalid scores falling at less than 7%. In both samples, free-standing PVTs were failed at about 22%.

Conclusions
Although the base rates of PVT and SVT failures in ADHD-specific evaluations were lower than previously published data on non-ADHD-specific evaluations in veterans and SMs, the current study continues to support the inclusion of these measures.
WSGMB: weight signed graph neural network for microbial biomarker identification
Authors: Pan Shuheng , Jiang Xinyi , Zhang Kai 
Published: December 2023

Abstract
The stability of the gut microenvironment is inextricably linked to human health, with the onset of many diseases accompanied by dysbiosis of the gut microbiota. It has been reported that there are differences in the microbial community composition between patients and healthy individuals, and many microbes are considered potential biomarkers. Accurately identifying these biomarkers can lead to more precise and reliable clinical decision-making. To improve the accuracy of microbial biomarker identification, this study introduces WSGMB, a computational framework that uses the relative abundance of microbial taxa and health status as inputs. This method has two main contributions: (1) viewing the microbial co-occurrence network as a weighted signed graph and applying graph convolutional neural network techniques for graph classification; (2) designing a new architecture to compute the role transitions of each microbial taxon between health and disease networks, thereby identifying disease-related microbial biomarkers. The weighted signed graph neural network enhances the quality of graph embeddings; quantifying the importance of microbes in different co-occurrence networks better identifies those microbes critical to health. Microbes are ranked according to their importance change scores, and when this score exceeds a set threshold, the microbe is considered a biomarker. This framework’s identification performance is validated by comparing the biomarkers identified by WSGMB with actual microbial biomarkers associated with specific diseases from public literature databases. The study tests the proposed computational framework using actual microbial community data from colorectal cancer and Crohn’s disease samples. It compares it with the most advanced microbial biomarker identification methods. The results show that the WSGMB method outperforms similar approaches in the accuracy of microbial biomarker identification.
Activation of HAND2-FGFR signaling pathway by lncRNA HAND2-AS1 in adenomyosis
Authors: Zheng Ya , Wu Shuang , Liu Lingli , Guan Yining , Sun Wenxia , Miao Congxiu , Li Quanxi 
Published: December 2023

Abstract
Heart and neural crest derivatives expressed transcript 2 (HAND2) is a critical mediator of progesterone action in endometrial stromal cells. Silencing of Hand2 expression in mouse uterus leads to an unopposed FGFR-mediated action that causes female mice infertility. To investigate the involvement of HAND2-FGFR signaling in pathogenesis of adenomyosis, immunohistochemistry, in situ hybridization, and quantitative real-time PCR were employed to assess gene expression in the normal endometrium, the paired eutopic endometrium and ectopic lesions obtained from women with adenomyosis. DNA methylation in the regions of HAND2 promoter and the first exon was also monitored in these samples. Our results revealed that HAND2 expression were dramatically reduced, but FGF9 expression and FGFR-ERK1/2-mediated MAPK signaling pathway were enhanced in the eutopic endometrium and ectopic lesions of patients with adenomyosis compared to the normal controls. Interestingly, expression of HAND2-AS1, a long noncoding RNA that resides adjacent to HAND2 in genome, was also reduced in adenomyosis. DNA methylation analysis revealed that the bidirectional promoter between HAND2 and HAND2-AS1, and the first exon of HAND2 gene was heavily methylated in the eutopic endometrium and the ectopic lesions of adenomyosis. To investigate the regulation of gene expression by HAND2-AS1, HAND2-AS1 expression was silenced in human endometrial stromal cells. In contrast to the downregulation of HAND2 in response to HAND2-AS1 silencing, FGF9 expression was augmented significantly. Endometrial stromal cells lacking HAND2-AS1 exhibited enhanced proliferation and migration potentials. Collectively, our studies revealed a new molecular mechanism by which HAND2-AS1 is involved in the pathogenesis of adenomyosis via modulating HAND2-FGFR-mediated signaling.
‘I’m his safe space’: Mothers’ Experiences of Physical Violence From Their Neurodivergent Children—Gender, Conflict and the Ethics of Care
Authors: Holt Amanda 
Published: December 2023

Abstract
Drawing on recent criminological scholarship on child to parent violence (CPV), this article applies a feminist ‘ethics of care’ framework to understand how mothers of neurodivergent children understand the violence they experience from them. Examining data from in-depth interviews with 15 mothers who experience CPV, this article explores how mothers construct themselves as a ‘safe space’ through which their child can manage their distress. The tensions and emotional conflicts this produces for mothers, as well as the harms that result, are highlighted. Discussion focusses on the usefulness of understanding family violence from an ‘ethics of care’ framework, and the implications for violence prevention through broader social change.