bluuebunny/crossref_metadata_2025_split huggingface dataset:
Is transcreation a service or a strategy?
Authors: Carreira Oliver 
Published: July 2022

Abstract
Transcreation is a practice with a status that has to date not been consolidated in the field of Translation
Studies. While some authors consider that the term brings little value to the discipline (Bernal Merino 2006; Gambier and Munday 2014), others define transcreation
as a service involving the creative adaptation of marketing and advertising content (Pedersen
2014; TAUS 2019) or as a strategy adopted in creative areas like AVT (Malenova 2017; Chaume 2018), localization
(Mangirón and O’Hagan 2006; Crosignani and
Ravetto 2011) and literary translation (Lal 1996; De Campos 2013). The above definitions reflect the perspectives of the language services industry and
academia. However, the points of view of individual language professionals have not usually been considered when conceptualizing
transcreation. The purpose of this paper is to address these perceptions by adopting a social qualitative approach by means of an
instrument called “The DTP Survey.” The results of this survey seem to point to a dual definition of transcreation as both a
service and a strategy, with both approaches being compatible and not mutually exclusive as they have been in previous
characterizations of the practice.
Translation policy in health care settings in Ontario
Authors: Wang Wanhong 
Published: July 2022

Abstract
In a world of increasing globalisation, governments, including Canada, face ongoing challenges in their efforts to
integrate immigrant languages and to communicate with their users in public service settings. By exploring the translation policy
in health care settings in Ontario, Canada, this research investigates how immigrant language barriers in health care access are
addressed there, and probes into ideologies around the issue of immigrant language integration. Ontarian translation policy in
health care settings is pragmatic yet cautious and laissez-faire. It indicates inclusiveness to accommodate immigrants; but it
also reveals considerable tensions and hesitations. The belief that translation is a necessary measure to secure immigrants’ equal
health care rights has been largely overridden at the regional and institutional level in Ontario, hindering further planning and
more effective provision. The inadequate value designated to translation in terms of immigrant integration by government
authorities, the ambiguous and ambivalent stances of Toronto Central Local Health Integration Network and some hospitals on
translation provision against budgetary concern and the expectation for linguistic homogeneity all play roles in determining the
flexibility and fluctuation of translation policy in health care settings in Ontario.
Active and passive defects in tetragonal tungsten bronze relaxor ferroelectrics
Authors: Wang Bi-Xia , Krogstad M J , Zheng H , Osborn R , Rosenkranz S , Phelan D 
Published: July 2022

Abstract
Tetragonal tungsten bronze (TTB) based oxides constitute a large family of dielectric materials which are known to exhibit complex distortions producing incommensurately modulated superstructures as well as significant local deviations from their average symmetry. The local deviations produce diffuse scattering in diffraction experiments. The structure as well as the charge dynamics of these materials are anticipated to be sensitive to defects, such as cation or oxygen vacancies. In this work, in an effort to understand how the structural and charge dynamical properties respond to these two types of vacancy defects, we have performed measurements of dielectric susceptibilities and single crystal diffraction experiments of two types of TTB materials with both ‘filled’ (Ba2NdFeNb4O15 and Ba2PrFeNb4O15) and ‘unfilled’ (Sr0.5Ba0.5Nb2O6) cation sublattices. We also perform these measurements before and after oxygen annealing, which alters the oxygen vacancy concentrations. Surprisingly, we find that many of the diffuse scattering features that are present in the unfilled structure are also present in the filled structure, suggesting that the random fields and disorder that are characteristic of the unfilled structure are not responsible for many of the local structural features that are reflected in the diffuse scattering. Oxygen annealing clearly affected both color and dielectric properties, consistent with a diminishment of the oxygen vacancy concentration, but had little effect on observed diffuse patterns.
Multi-fault diagnosis of rotating machinery via iterative multivariate variational mode decomposition
Authors: Li Zhaolun , Lv Yong , Yuan Rui , Zhang Qixiang 
Published: July 2022

Abstract
Multivariate variational mode decomposition (MVMD) is a novel extension of variational mode decomposition (VMD) for multi-channel data sets. It decomposes multi-component and multi-channel signals into multivariate modulated oscillations crossing different center frequencies and limited bandwidths with sparse characteristics. MVMD inherits all the limitations of VMD and faces challenges in processing mechanical failure signals. The pre-selected values of the mode number K and balance parameters α still have the most significant impact on the decomposition results. Although the parameter-optimization method solves the problem of parameter selection to a certain extent, the result is often not optimal, and it is difficult to deal with multi-fault signals. A new multi-fault diagnosis method is proposed in this paper to solve these problems. Firstly, a new index, called the weighted combined fault index, is proposed to evaluate the fault information contained in each mode decomposed by MVMD, which is the criterion for selecting the optimal mode. Secondly, an iterative decomposition algorithm based on MVMD is proposed to iteratively decompose different fault components into the optimal modes to extract all potential fault information. Benefiting from these algorithms, this method applies MVMD to multi-fault diagnosis with adaptive parameter selection. Through simulations and experiments, the effectiveness and superiority of the proposed method are verified.
A novel fault diagnosis method of wind turbine bearings based on compressed sensing and AlexNet
Authors: Gu Heng , Liu Wenyi , Zhang Yang , Jiang Xiangyu 
Published: July 2022

Abstract
The bearing is the core component which ensures the normal operation of the wind turbine. The vibration signal based on fault diagnosis is non-linear, non-stationary and causes serious noise pollution. Conventional methods are difficult to demodulate, and the operation is complex. With the increasing capacity of wind turbine assemblers, the signal samples based on Shannon sampling theorem are also increasing, which brings great pressure to data transmission and storage. Deep learning based on big data-driven for wind turbine running condition monitoring plays an effective role in the field of fault diagnosis. However, data training depends on a large amount of data and takes a long time. Therefore, a novel fault diagnosis method based on compressed sensing (CS) and AlexNet is proposed. This method used small sample data. Firstly, the signal is sparsely processed by stagewise orthogonal matching pursuit algorithm, so that the sparse signal is convenient for signal transmission and can alleviate the pressure of signal storage. Secondly, the CS theory is used to restore the signal and reduce the noise of the signal. Thirdly, a fault-free signal is selected and compared with the fault signal with the same phase to obtain the characteristic residual signal. Next, they are subjected to continuous wavelet transform to obtain the wavelet spectrum of the signal. Finally, it is constructed into a pseudo-trichromatic graph and put into the improved AlexNet network to obtain the effect of fault diagnosis. Compared with other methods, experiment shows that the proposed method has higher accuracy in wind turbine fault diagnosis
Concurrent kilovoltage CBCT imaging and megavoltage beam delivery: suppression of cross-scatter with 2D antiscatter grids and grid-based scatter sampling
Authors: Bayat Farhang , Eldib Mohamed Elsayed , Kavanagh Brian , Miften Moyed , Altunbas Cem 
Published: July 2022

Abstract

Objective. The concept of using kilovoltage (kV) and megavoltage (MV) beams concurrently has potential applications in cone beam computed tomography (CBCT) guided radiation therapy, such as single breath hold scans, metal artifact reduction, and simultaneous imaging during MV treatment delivery. However, MV cross-scatter generated during MV beam delivery degrades CBCT image quality. To address this, a 2D antiscatter grid and a cross-scatter correction method were investigated in the context of high dose MV treatment delivery. Approach. A 3D printed, tungsten 2D antiscatter grid prototype was utilized in kV CBCT scans to reduce MV cross-scatter fluence during concurrent MV beam delivery. Remaining cross-scatter in projections was corrected by using the 2D grid itself as a cross-scatter intensity sampling device, referred to as grid-based scatter sampling (GSS). To test this approach, kV CBCT acquisitions were performed while delivering 6 and 10 MV beams, mimicking high dose rate treatment delivery scenarios. kV and MV beam deliveries were not synchronized to eliminate MV beam delivery interruption. MV cross-scatter suppression performance of the proposed approach was evaluated in projections and CBCT images of phantoms. Main results. 2D grid reduced the intensity of MV cross-scatter in kV projections by a factor of 3 on the average, when compared to conventional antiscatter grid. Remaining cross scatter as measured by the GSS method was within 7% of measured reference intensity values, and subsequently corrected. CBCT image quality was improved substantially during concurrent kV–MV beam delivery. Median Hounsfield Unit (HU) inaccuracy was up to 182 HU without our methods, and it was reduced to a median 6.5 HU with our 2D grid and scatter correction approach. Our methods provided a factor of 2–6 improvement in contrast-to-noise ratio. Significance. This investigation demonstrates the utility of 2D antiscatter grids and grid-based scatter sampling in suppressing MV cross-scatter. Our approach successfully minimized the effects of MV cross-scatter in concurrent kV CBCT imaging and high dose MV treatment delivery scenarios. Hence, robust MV cross-scatter suppression is potentially feasible without MV beam delivery interruption or compromising kV image acquisition rate.
Adaptation and dosimetric commissioning of a synchrotron-based proton beamline for FLASH experiments
Authors: Yang Ming , Wang Xiaochun , Guan Fada , Titt Uwe , Iga Kiminori , Jiang Dadi , Takaoka Takeshi , Tootake Satoshi , Katayose Tadashi , Umezawa Masumi , Schüler Emil , Frank Steven , Lin Steven H , Sahoo Narayan , Koong Albert C , Mohan Radhe , Zhu X Ronald 
Published: July 2022

Abstract

Objective. Irradiation with ultra-high dose rates (>40 Gy s−1), also known as FLASH irradiation, has the potential to shift the paradigm of radiation therapy because of its reduced toxicity to normal tissues compared to that of conventional irradiations. The goal of this study was to (1) achieve FLASH irradiation conditions suitable for pre-clinical i
n vitro and in vivo biology experiments using our synchrotron-based proton beamline and (2) commission the FLASH irradiation conditions achieved. Approach. To achieve these suitable FLASH conditions, we made a series of adaptations to our proton beamline, including modifying the spill length and size of accelerating cycles, repurposing the reference monitor for dose control, and expanding the field size with a custom double-scattering system. We performed the dosimetric commissioning with measurements using an Advanced Markus chamber and EBT-XD films as well as with Monte Carlo simulations. Main results. Through adaptations, we have successfully achieved FLASH irradiation conditions, with an average dose rate of up to 375 Gy s−1. The Advanced Markus chamber was shown to be appropriate for absolute dose calibration under our FLASH conditions with a recombination factor ranging from 1.002 to 1.006 because of the continuous nature of our synchrotron-based proton delivery within a spill. Additionally, the absolute dose measured using the Advanced Markus chamber and EBT-XD films agreed well, with average and maximum differences of 0.32% and 1.63%, respectively. We also performed a comprehensive temporal analysis for FLASH spills produced by our system, which helped us identify a unique relationship between the average dose rate and the dose in our FLASH irradiation. Significance. We have established a synchrotron-based proton FLASH irradiation platform with accurate and precise dosimetry that is suitable for pre-clinical biology experiments. The unique time structure of the FLASH irradiation produced by our synchrotron-based system may shed new light onto the mechanism behind the FLASH effect.
A critical assessment of solutions to the galaxy diversity problem
Authors: Zentner Aidan , Dandavate Siddharth , Slone Oren , Lisanti Mariangela 
Published: July 2022

Abstract
Galactic rotation curves exhibit a diverse range of inner slopes. Observational data indicates that explaining this diversity may require a mechanism that correlates a galaxy's surface brightness with the central-most region of its dark matter halo. In this work, we compare several concrete models that capture the relevant physics required to explain the galaxy diversity problem. We focus specifically on a Self-Interacting Dark Matter (SIDM) model with an isothermal core and two Cold Dark Matter (CDM) models with/without baryonic feedback. In contrast to the CDM case, the SIDM model can lead to the formation of an isothermal core in the halo, and is also mostly insensitive to baryonic feedback processes, which act on longer time-scales. Using rotation curves from 90 galaxies in the Spitzer Photometry & Accurate Rotation Curves (SPARC) catalog, we perform a comprehensive model comparison that addresses issues of statistical methodology from prior works. The best-fit halo models that we recover are consistent with standard CDM concentration-mass and abundance matching relations. We find that both the SIDM and feedback-affected CDM models are better than a CDM model with no feedback in explaining the rotation curves of low and high surface brightness galaxies in the sample. However, when compared to each other, there is no strong statistical preference for either the SIDM or the feedback-affected CDM halo model as the source of galaxy diversity in the SPARC catalog.
Blandford-Znajek monopole expansion revisited: novel non-analytic contributions to the power emission
Authors: Camilloni Filippo , Dias Oscar J.C. , Grignani Gianluca , Harmark Troels , Oliveri Roberto , Orselli Marta , Placidi Andrea , Santos Jorge E. 
Published: July 2022

Abstract
The Blandford and Znajek (BZ) split-monopole serves as an important theoretical example of the mechanism that can drive the electromagnetic extraction of energy from Kerr black holes. It is constructed as a perturbative low spin solution of Force Free Electrodynamics (FFE). Recently, Armas et al. put this construction on a firmer footing by clearing up issues with apparent divergent asymptotics. This was accomplished by resolving the behavior around the outer light surface, a critical surface of the FFE equations.
Building on this, we revisit the BZ perturbative expansion, and extend the perturbative approach to higher orders in the spin parameter of the Kerr black hole.
We employ matched-asymptotic-expansions and semi-analytic techniques to extend the split-monopole solution to the sixth-order in perturbation theory. The expansion necessarily includes novel logarithmic contributions in the spin parameter.
We show that these higher order terms result in non-analytic contributions to the power and angular momentum output. In particular, we compute for the first time the perturbative contributions to the energy extraction at seventh- and eighth-order in the spin parameter.
The resulting formula for the energy extraction
improves the agreement with numerical simulations at finite spin.
Moreover, we present a novel numerical procedure for resolving the FFE equations across the outer light surface, resulting in significantly faster convergence and greater accuracy, and extend this to higher orders as well.
Finally, we include a general discussion of light surfaces as critical surfaces of the FFE equations.
Fusion neutrons from femtosecond relativistic laser-irradiated sub-micron aggregates in a rapid expanding jet of supercritical CO2 + CD3OD mixture
Authors: Semenov T A , Gorlova D A , Dzhidzhoev M S , Ivanov K A , Lazarev A V , Mareev E I , Minaev N V , Trubnikov D N , Tsymbalov I N , Volkov R V , Savel’ev A B , Gordienko V M 
Published: July 2022

Abstract
A new approach is proposed to form a jet with submicron aggregates for femtosecond laser neutron generation under nonlinear interaction with relativistically intense laser pulse. Aggregates are formed through the rapid expansion into vacuum of the supercritical mixture of CO2 + CD3OD (3:1). For the first time, fusion neutrons (2.45 MeV) with a peak output of 3 × 103 neutron/pulse/4π and efficiency of 6 × 104 neutron J−1 were obtained under interaction of Ti:Sa laser pulse having 3 × 1018 W cm−2 intensity with submicron aggregates produced from supercritical CO2 + CD3OD mixture.
fNIRS-based adaptive visuomotor task improves sensorimotor cortical activation
Authors: Zheng Yilei , Tian Bohao , Zhuang Zhiqi , Zhang Yuru , Wang Dangxiao 
Published: July 2022

Abstract

Objective. Investigating how to promote the functional activation of the central sensorimotor system is an important goal in the neurorehabilitation research domain. We aim to validate the effectiveness of facilitating cortical excitability using a closed-loop visuomotor task, in which the task difficulty is adaptively adjusted based on an individual’s sensorimotor cortical activation. Approach. We developed a novel visuomotor task, in which subjects moved a handle of a haptic device along a specific path while exerting a constant force against a virtual surface under visual feedback. The difficulty levels of the task were adapted with the aim of increasing the activation of sensorimotor areas, measured non-invasively by functional near-infrared spectroscopy. The changes in brain activation of the bilateral prefrontal cortex, sensorimotor cortex, and the occipital cortex obtained during the adaptive visuomotor task (adaptive group), were compared to the brain activation pattern elicited by the same duration of task with random difficulties in a control group. Main results. During one intervention session, the adaptive group showed significantly increased activation in the bilateral sensorimotor cortex, also enhanced effective connectivity between the prefrontal and sensorimotor areas compared to the control group. Significance. Our findings demonstrated that the functional near-infrared spectroscopy-based adaptive visuomotor task with high ecological validity can facilitate the neural activity in sensorimotor areas and thus has the potential to improve hand motor functions.
Complexity, information geometry, and Loschmidt echo near quantum criticality
Authors: Jaiswal Nitesh , Gautam Mamta , Sarkar Tapobrata 
Published: July 2022

Abstract
We consider the Nielsen complexity (NC)

C

N

, the Loschmidt echo (LE)

L

, and the Fubini-study complexity τ in the transverse XY model, following a sudden quantum quench, in the thermodynamic limit. At small times, the first two are related by

L
∼

e

−

C

N

. By computing a novel time-dependent quantum information metric, we show that in this regime,

C

N

∼
d

τ

2

, up to lowest order in perturbation. The former relation continues to hold in the same limit at large times, whereas the latter does not. Our results indicate that in the thermodynamic limit, the NC and the LE show enhanced temporal oscillations when one quenches from a close neighbourhood of the critical line, while such oscillations are notably absent when the quench is on such a line. We explain this behaviour by studying the nature of quasi-particle excitations in the vicinity of criticality. Finally, we argue that the triangle inequality for the NC might be violated in certain regions of the parameter space, and point out why one should be careful about the nature of the interaction Hamiltonian, while using this measure.
Mathematical optimization model on BP neural network for the preparation of C4 olefins by ethanol coupling
Authors: Huang Linjie , Rong Yihua , Wang Lifeng 
Published: July 2022

Abstract
With industrial production, the continuous consumption of resources, people’s use, and consumption of resources make the community concerned about resources. C4 olefins are used as significant raw materials in chemical production, and the use of ethanol coupling to prepare C4 olefins will become an important route in industrial production in the future. The data of ethanol conversion and C4 olefin selectivity can reflect the utilization of resources in the reflective process.
With the rapid growth of machine learning and intelligent computing, a large number and different kinds of models have been constructed for the utilization and consumption of resources, which makes it possible to optimize the process of ethanol coupling for the preparation of C4 olefins. The objective of this paper is to construct a mathematical optimization model for the preparation of C4 olefins by ethanol coupling. Firstly, the catalyst combination was split, and secondly, the prediction model for ethanol conversion and C4 selectivity was constructed based on BP neural network. Finally, the feasibility of the model was tested by determining three indicators, Correlation Coefficient (R), Root Mean Squared Error (RMSE), and Mean Absolute Error (MAE). Meanwhile, the PCA algorithm was applied to rank the degree of influence of catalyst and temperature on the conversion of ethanol and C4 olefin selectivity.
Effects of temperature on the ohmic internal resistance and energy loss of Lithium-ion batteries under millisecond pulse discharge
Authors: Yue Yunrui , Li Song , Cheng Xinbing , Wei Jinhong , Zeng Fanzheng , Zhou Xiang , Yang Jianhua 
Published: July 2022

AbstractBattery energy storage technology has a promising future in the field of compact high-power pulse drivers due to its high energy storage density. In this paper, three types of high-performance lithium batteries, such as lithium titanate (LTO) battery, lithium iron phosphate (LFP) battery, and Ni,Co,Al (NCR) ternary lithium-ion battery, have been studied in different ambient temperatures by using DC internal resistance measurement method. The result shows that the ohmic internal resistance of lithium batteries increases when the temperature drops. When the temperature is above -30 °C, the ohmic internal resistances of the three types of battery are nearly identical. At -50 °C, the ohmic internal resistances of LFP battery and LTO battery are about 83 mΩ and 151 mΩ, respectively, and the ohmic internal resistance of NCR li-ion battery increases by one order of magnitude. The energy loss from LTO battery and LFP battery during pulse discharge is similar. In the temperature range of -30 °C to 50 °C, the energy loss of NCR li-ion battery pulse discharge is the largest. At -50 °C, the energy loss of NCR li-ion battery is the least.