bluuebunny/crossref_metadata_2025_split huggingface dataset:
Global translation history
Authors: Roig-Sanz Diana 
Published: October 2022

AbstractThis paper aims to offer theoretical and methodological insights on global approaches applied to literary translation history. I claim that the impact of the global has not been sufficiently addressed in translation studies and that we need to define the global as a necessary condition for new and more inclusive translation histories. The paper reviews the main theoretical perspectives accounting for the study of literary translation history within a sociological approach, including the problems and pitfalls of previous approaches, while presenting a more encompassing conceptual model for the study of global translation flows in an entangled world society. I focus on the entanglements between translation and global history, sociological and globalization theories, as well as digital methods. The paper deals with the analysis of translation flows through the lens of five fundamental concepts: space, time, scale, connectivity, and agency.
Symmetric teleparallel geometries
Authors: Coley A A , van den Hoogen R J , McNutt D D 
Published: October 2022

Abstract
In teleparallel gravity and, in particular, in F(T) teleparallel gravity, there is a challenge in determining an appropriate (co-)frame and its corresponding spin connection to describe the geometry. Very often, the ‘proper’ frame, the frame in which all inertial effects are absent, is not the simplest (e.g, diagonal) (co-)frame. The determination of the frame and its corresponding spin connection for F(T) teleparallel gravity theories when there exist affine symmetries is of much interest. In this paper we present the general form of the coframe and its corresponding spin connection for teleparallel geometries which are invariant under a G
6 group of affine symmetries. The proper coframe and the corresponding F(T) field equations are also shown for these teleparallel Robertson–Walker geometries. Further, with the addition of an additional affine symmetry, it is possible to define a teleparallel de Sitter geometry.
A rotationally invariant approach based on Gutzwiller wave function for correlated electron systems
Authors: Ye Zhuo , Zhang Feng , Fang Yimei , Zhang Han , Wu Shunqing , Lu Wen-Cai , Yao Yong-Xin , Wang Cai-Zhuang , Ho Kai-Ming 
Published: October 2022

Abstract
We introduce a rotationally invariant approach combined with the Gutzwiller conjugate gradient minimization method to study correlated electron systems. In the approach, the Gutzwiller projector is parametrized based on the number of electrons occupying the onsite orbitals instead of the onsite configurations. The approach efficiently groups the onsite orbitals according to their symmetry and greatly reduces the computational complexity, which yields a speedup of

20
∼
50
×

in the minimal basis energy calculation of dimers. The computationally efficient approach promotes more accurate calculations beyond the minimal basis that is inapplicable in the original approach. A large-basis energy calculation of F2 demonstrates favorable agreements with standard quantum-chemical calculations Bytautas et al (2007 J. Chem. Phys.
127 164317)
A novel convolutional network with a self-adaptation high-pass filter for fault diagnosis of wind turbine gearboxes
Authors: Yang Fan , Huang Donghua , Li Dongdong , Zhao Yao , Lin Shunfu , S M Muyeen 
Published: October 2022

Abstract
The fault diagnosis of a wind turbine gearbox is helpful for reducing the operating costs and risks of wind power systems. However, existing machine-learning-based gearbox fault diagnosis methods have two shortcomings: (a) data samples of gearbox faults are always scarce; and (b) due to the complex structure of gearboxes, the collected vibration signals often contain a large amount of low-frequency noise, which is detrimental to both feature extraction and fault diagnosis. To solve the above two problems, a combination of deep convolutional generative adversarial networks (DCGANs) and a convolutional network with a high-pass filter (CNHF) is proposed in this paper. Among them, the DCGAN combined with one-dimensional (1D) vibration data converted to a grayscale map is used to expand the fault data to solve the problem of a lack of fault data samples. The CNHF is realized by adding an adaptive high-pass filter to the conventional convolutional layer, and the threshold of the high-pass filter is adaptively set by the 1D convolution according to different data characteristics, thus greatly filtering out the interference of low-frequency noise and realizing the accurate diagnosis of faults. Experiments are performed on a drivetrain dynamics simulator rig to verify the efficacy of the proposed method.
Assessment of bubble activity generated by histotripsy combined with echogenic liposomes
Authors: Bhargava Aarushi , Huang Shaoling , McPherson David D , Bader Kenneth B 
Published: October 2022

Abstract

Objective. Histotripsy is a form of focused ultrasound therapy that uses the mechanical activity of bubbles to ablate tissue. While histotripsy alone degrades the cellular content of tissue, recent studies have demonstrated it effectively disrupts the extracellular structure of pathologic conditions such as venous thrombosis when combined with a thrombolytic drug. Rather than relying on standard administration methods, associating thrombolytic drugs with an ultrasound-triggered echogenic liposome vesicle will enable targeted, systemic drug delivery. To date, histotripsy has primarily relied on nano-nuclei inherent to the medium for bubble cloud generation, and microbubbles associated with echogenic liposomes may alter the histotripsy bubble dynamics. The objective of this work was to investigate the interaction of histotripsy pulse with echogenic liposomes. Approach. Bubble clouds were generated using a focused source in an in vitro model of venous flow. Acoustic emissions generated during the insonation were passively acquired to assess the mechanical activity of the bubble cloud. High frame rate, pulse inversion imaging was used to track the change in echogenicity of the liposomes following histotripsy exposure. Main results. For peak negative pressures less than 20 MPa, acoustic emissions indicative of stable and inertial bubble activity were observed. As the peak negative pressure of the histotripsy excitation increased, harmonics of the excitation were observed in OFP t-ELIP solutions and plasma alone. Additional observations with high frame rate imaging indicated a transition of bubble behavior as the pulse pressure transitioned to shock wave formation. Significance. These observations suggest that a complex interaction between histotripsy pulses and echogenic liposomes that may be exploited for combination treatment approaches.
Prediction of ICRF minority heating schemes for JET D–T experiments
Authors: Gallart D , Mantsinen M J , Manyer J , Planas E , Taylor D M A , Garcia J , Frigione D , Garzotti L , Kim Hyun-Tae , Nocente M , Rimini F , Van Eester D 
Published: October 2022

Abstract
Achieving high-performance conditions and maximizing the fusion yield of plasma discharges have been one of the main goals of recent Joint European Torus (JET) campaigns in preparation for its second deuterium–tritium (D–T) campaign. The simulations shown in this work delve into the role of external heating using neutral beam injection (NBI) and radio-frequency waves in the ion cyclotron range of frequencies (ICRF) in order to optimise high fusion performance in the JET tokamak. A baseline discharge with record neutron rate is used as a reference in order to perform a D–T prediction, which considers the NBI+RF synergy. In this work, our focus is on JET’s two main minority schemes, H and 3He. This study tackles the heating mechanisms by which these schemes reach high-performance conditions. The H scheme typically boosts the ICRF fusion enhancement through the second D harmonic heating, whereas 3He minority is characterised by its strong bulk ion heating. Both features are beneficial for increasing the fusion yield. Nevertheless, the minority concentration is a relevant parameter, which needs to be assessed to understand in which concentration ranges the benefits of each particular minority scheme are met. Therefore, the main objective of this work is to assess in which concentration range the ICRF fusion enhancement and bulk ion heating are optimal, for H and 3He, respectively. Under these conditions, our prediction suggests 3He concentration should stay above 1.2% and H should remain below 2.2%.
Accretion and Host-Galaxy Properties of 14 New “Changing-Look” Active Galactic Nuclei Identified from the SDSS-V Survey
Authors: Wang Jing , Xu Dawei , Bai Jianying , Brink T. G. , Gao Cheng , Zheng Weikang , Filippenko Alex. V. , Wei Jianyan 
Published: October 2022

Abstract
The widely accepted active galactic nucleus (AGN) paradigm has been recently challenged by the discovery of the so-called ``changing-look'' (CL) phenomenon characterized by spectral-type transitions. By comparing the SDSS-V and SDSS DR16 spectroscopic datasets, here we report the identification of 14 new CL-AGNs (redshift $z<0.5$) exhibiting spectral-type changes on a timescale of $\sim 10$\,yr. Follow-up spectroscopy was conducted with the Lick Shane 3\,m and Keck 10\,m telescopes for three of the objects. Detailed analysis of these spectra enables us to arrive at the following two main results. (1) By compiling a sample of 65 CL-AGNs with good measurements, we reinforce the previous claim that CL-AGNs tend to be biased against both a high Eddington ratio ($\lesssim 0.1$) and a high bolometric luminosity ($\lesssim 10^{46}\,\mathrm{erg\,s^{-1}}$). This bias suggests that the disk-wind broad-line-region model is a plausible explanation of the CL phenomenon. (2) The host galaxies of CL-AGNs tend to be dominated by intermediate stellar populations, which motivates us to propose that CL-AGNs are probably particular AGNs at a special evolutionary stage, such as a transition stage from ``feast'' to ``famine'' fueling of the supermassive black hole. In addition, with our spectra, we identify SDSS\,J025951.22+003744.2 as a new repeat CL narrow-line Seyfert 1 galaxy with a rapid ``turn-on'' timescale of $\sim 1$\,yr.
Construction and testing of sMDT tubes at the University of Michigan for the ATLAS Muon Spectrometer upgrade
Authors: Wei C. , Chen A. , Amidei D. , Anderson N. , Carpenter E. , Cooperrider L. , Dai T. , Diehl E. , Ferretti C. , Li J. , Lugato P. , Minnella J. , Moskaitis S. , Nelson K. , Pillsbury V. , Salzer E. , Simpson L. , Wang Z.C. , Wang Z.R. , Weaverdyck C. , Yang Z. , Zhou B. 
Published: October 2022

Abstract
This paper reports on the design and construction of
infrastructure and test stations for small-diameter monitored drift
tube (sMDT) assembly and testing at the University of Michigan (UM)
to prepare for the ATLAS Muon Spectrometer upgrade for the
high-luminosity program of the Large Hadron Collider. Procedures of
the tube assembly and quality assurance and control (QA/QC) tests
are described in detail. More than 99% of the tubes meet the tube
QA/QC specifications based on 2100 tubes built at UM. The UM test
stations are also used for QA/QC testing on the tubes constructed at
Michigan State University. These tubes are being used to construct
the sMDT chambers which will replace the current MDT chambers of the
barrel inner station of the Muon Spectrometer.
A CdZnTe-based high-resolution gamma spectrometer for in-situ measurement in the marine environment
Authors: Zhou Z. , Feng C. , Zhao M. , Wang X. , Li L. , Jiang Z. , Wang Y. , Yuan J. , Cao P. , An Q. 
Published: October 2022

Abstract
In-situ radiation measurement and radionuclide
identification in the ocean provide essential information for seabed
geological and marine ecological exploration. In this work, a
small-sized CdZnTe-based gamma spectrometer with high energy
resolution was designed for automatic in-situ radioactivity
measurement in the marine environment down to a depth of
4500 m. Four 10 × 10 × 5 mm3 CdZnTe detectors were
used, and their energy spectra were combined to improve the
detection efficiency. Instead of multi-stage analog circuits,
digital processing methods such as digital filter, trigger, and
energy calculation were implemented in the readout electronics to
improve compactness and reduce the power consumption of the
spectrometer. Monte Carlo simulations were carried out to estimate
the gamma attenuation through the waterproof shell and the marine
efficiency of the spectrometer. Several gamma sources and samples
were used to evaluate the nuclide identification capability of the
spectrometer. The resolution (FWHM) of the spectrometer was 1.8% at
662 keV at room temperature and improved to 1.5% at about
3°C, which is close to the ambient temperature in the
ocean. The spectrometer was tested under a pressure of up to 58 MPa
and was used for marine measurement at a depth of 1418 m in the
South China Sea. The radioactivity of the subsea region is higher
than that of seawater, where thorium daughters, radon daughters, and
^40K were identified in the spectrum result.
Managing forest carbon and landscape capacities
Authors: Boisvenue Céline , Paradis Gregory , Eddy Ian M S , McIntire Eliot J B , Chubaty Alex M 
Published: October 2022

Abstract
Widespread impacts of a warming planet are fuelling climate change mitigation efforts world-wide. Decision makers are turning to forests, the largest terrestrial primary producer, as a nature-based contribution to mitigation efforts. Resource-based economies, however, have yet to include carbon (C) in their resource planning, slowing the implementation of these important measures for atmospheric greenhouse gas reduction. The realisation of forest mitigation potential depends greatly on our ability to integrate C-sequestration practices in our forest management applications. This requires robust C-estimates, an understanding of the natural potential for a specific landscape to sequester C, the current state of the landscape relative to this potential, and the evaluation of management practices as a tool to sequester forest C in the midst of all the other values forests offer humans. Discrepancies between models used in management decisions and C estimation are the first hurdle impeding the application of forest-based mitigation strategies. Here, we combine forest disturbance and management models with a well-established C model on an open-source simulation platform. We then use the modelling system to produce C estimates of the natural C-holding capacity (potential) and two management scenarios for a study area in BC, Canada. Our simulations provide an essential metric if forests are to be managed for C-sequestration: the natural landscape C-holding capacity. Our simulations also point to a decreasing trend in simulated C on the study area over time and to a bias of the current C-levels compared to the landscape C-holding capacity (477 vs 405.5 MtC). Our explanations for this bias may provide an avenue for improved current C-state estimates. We provide a framework and the information needed for the implementation of nature-based solutions using forests for climate change mitigation. This study is a step towards modelling systems that can unify scientifically based forest management and informed C-management.
Thermodynamic and topological properties of copolymer rings with a segregation/mixing transition
Authors: Janse van Rensburg E J , Orlandini E , Tesi M C , Whittington S G 
Published: October 2022

Abstract
Two ring polymers close to each other in space may be either in a segregated phase if there is a strong repulsion between monomers in the polymers, or intermingle in a mixed phase if there is a strong attractive force between the monomers. These phases are separated by a critical point which has a θ-point character. The metric and topological properties of the ring polymers depend on the phase, and may change abruptly at the critical point. In this paper we examine the thermodynamics and linking of two ring polymers close in space in both the segregated and mixed phases using a cubic lattice model of two polygons interacting with each other. Our results show that the probability of linking is low in the segregated phase, but that it increases through the critical point as the model is taken into the mixed phase. We also examine the metric and thermodynamic properties of the model, with focus on how the averaged measures of topological complexity are related to these properties.
Laser-assisted ablation and plasma formation of titanium explored by LIBS, QCM, optical microscopy and SEM analyses along with mechanical modifications under different pressures of Ar and Ne
Authors: RIAZ Maryam , BASHIR Shazia , HAYAT Asma , NAZ Zarish 
Published: October 2022

AbstractThis study deals with the investigation of Nd:YAG laser-assisted ablation and plasma formation of Ti at irradiance of 0.85 GW cm−2under Ar and Ne environment at various pressures ranging from 10–120 Torr. Laser-induced breakdown spectroscopy is used to evaluate plasma parameters, whereas quartz crystal microbalance is used for ablation yield measurements. The crater depth is evaluated by optical microscopy. The surface features are explored by scanning electron microscope (SEM) analysis and the micro-hardness is measured by a Vickers hardness tester. It is observed that the plasma parameters are higher in Ar than in Ne, and are strongly correlated with the ablation yield, ablation depth, surface features and hardness of laser-ablated Ti. These parameters increase with increasing the pressure of environmental gases, attain their maxima at 40 Torr for Ar and at 60 Torr for Ne. Afterwards, they show a decreasing trend up till a maximum pressure of 120 Torr. The maximum value of the electron temperature (Te) is 5480 K, number density (ne) is1.46×1018cm−3,ablation depth is184μm,ablation yield is3.9×1015atoms/pulse and hardness is 300 HV in the case of Ar atmosphere. SEM analysis reveals the growth of surface features, such as cones, ridges and pores, whose appearance is more distinct in Ar than Ne and is attributed to temperature, pressure and density gradients along with recoil pressure of the Ti plasma.
Rights, Duties and the Common Good: How the Finnis-Fortin Debate Helps Us Think More Clearly About Abortion Today
Authors: Bachiochi Erika 
Published: October 2022

Abstract
Forty years ago, Fr. Ernest Fortin reviewed Natural Law and Natural Rights for the Review of Politics. In 2015, John Finnis published a lengthy response to Fortin’s review calling it “one of the most, and most enduringly, influential” reviews his book had ever received. The present article revisits Fortin’s review—situating it in his trenchant critique of modern rights theories more broadly—so as to better understand his disagreement with Finnis about the relationship between duties and rights. Though I will suggest that some of their debate was methodological, and some based on misunderstandings Fortin had of Finnis’s project, dissecting the debate in its entirety can teach much about the proper relationship between duties and rights, and the relationship of both to the common good. I argue it can also help us think more clearly about the fraught issue of abortion today.
Auricle Chondroma Excision With Contralateral Conchal Graft Reconstruction
Authors: Elzahabi Mahmoud , Alwafi Hebah 
Published: October 2022

Abstract

Extraskeletal or soft-tissue chondroma is a rare benign, slow-growing cartilaginous tumor that originates in the soft tissues but does not invade the surrounding tissue or organs. The tumor is most often found in the hand or foot, but other sites have also been reported. In this presenting case, the authors report a rare case of a patient with chondroma that developed in the auricle, which was treated with cartilage excision and reconstructed with a contralateral conchal graft.

Level of Evidence: 5
GTDB-Tk v2: memory friendly classification with the genome taxonomy database
Authors: Chaumeil Pierre-Alain , Mussig Aaron J , Hugenholtz Philip , Parks Donovan H 
Published: October 2022

AbstractSummaryThe Genome Taxonomy Database (GTDB) and associated taxonomic classification toolkit (GTDB-Tk) have been widely adopted by the microbiology community. However, the growing size of the GTDB bacterial reference tree has resulted in GTDB-Tk requiring substantial amounts of memory (∼320 GB) which limits its adoption and ease of use. Here, we present an update to GTDB-Tk that uses a divide-and-conquer approach where user genomes are initially placed into a bacterial reference tree with family-level representatives followed by placement into an appropriate class-level subtree comprising species representatives. This substantially reduces the memory requirements of GTDB-Tk while having minimal impact on classification.Availability and implementationGTDB-Tk is implemented in Python and licenced under the GNU General Public Licence v3.0. Source code and documentation are available at: https://github.com/ecogenomics/gtdbtk.Supplementary informationSupplementary data are available at Bioinformatics online.
Retrieval flexibility links to creativity: evidence from computational linguistic measure
Authors: Zhang Jingyi , Zhuang Kaixiang , Sun Jiangzhou , Liu Cheng , Fan Li , Wang Xueyang , Gu Jing , Qiu Jiang 
Published: October 2022

AbstractCreativity, the ability to generate original and valuable products, has long been linked to semantic retrieval processes. The associative theory of creativity posits flexible retrieval ability as an important basis for creative idea generation. However, there is insufficient research on how flexible memory retrieval acts on creative activities. This study aimed to capture different dynamic aspects of retrieval processes and examine the behavioral and neural associations between retrieval flexibility and creativity. We developed 5 metrics to quantify retrieval flexibility based on previous studies, which confirmed the important role of creativity. Our findings showed that retrieval flexibility was positively correlated with multiple creativity-related behavior constructs and can promote distinct search patterns in different creative groups. Moreover, high flexibility was associated with the lifetime of a specific brain state during rest, characterized by interactions among large-scale cognitive brain systems. The flexible functional connectivity within and between default mode, executive control, and salience provides further evidence on brain dynamics of creativity. Retrieval flexibility mediated the links between the lifetime of the related brain state and creativity. This new approach is expected to enhance our knowledge of the role of retrieval flexibility in creativity from a dynamic perspective.