bluuebunny/crossref_metadata_2025_split huggingface dataset:
Borrowing-Neologisms as a Result of Intercultural Communication
Authors: Israilova Luisa U. , Israilova Larisa U. , Gatsieva T. I. 
Published: July 2023

This work is dedicated to the study of borrowings in the English language. The most important process in modern English vocabulary is the appearance of neologisms in connection with the appearance of a new one in the speech collective.
New lexical units play a significant role in the development and improvement of the language. The natural process of lexical composition development, changes in its quality occur through continuous enrichment of the dictionary.The study showed that changes in the vocabulary of modern English. They reflect all aspects of the life of modern society, that the language in different periods was subject to different intensity of the impact of social development. Changes are taking place in the field of science and technology, art and education, the political life of society, in the field of social relations of various strata of society, in the field of relations between individual races, between different age groups of society. The new borrowed vocabulary reflects the peculiarities of social and linguistic contacts, economic and trade relations between peoples who are native speakers of the contacting languages.
Mapping barriers to green supply chains in empirical research on green banking
Authors: Herrador-Alcaide Teresa C. , Hernández-Solís Montserrat , Cortés Rodríguez Susana 
Published: July 2023

AbstractThe role of green banking (GB) in the green supply chain (CSC) is a relevant issue for green growth. The literature has pointed to some barriers identified as obstacles to the development of GSC. Since the publish of the framework of OECD for green growth, which is a reference for most of the countries, empirical research on GB has proliferated. Despite this, the barriers to the development of GSC have not yet been linked to empirical research on GB.Through a literature review of the empirical research on GB, this paper identifies by scientific impact the banking role, and we contribute with a mapping of the relationship among barriers to the development of GSC and conclusions of empirical research regarding GB, also considering the link with main topics of GB research. Additionally, it displays the main vectors related to area, year and methodology for each barrier and topic of empirical research on GB.
Effect of various chemical processing on nutritional value of common bean (Phaseolus vulgaris) residues determined via in vitro, in situ, and X-ray powder diffraction techniques
Authors: Ghanbari Farzad , Ghoorchi Taghi , Bayat Kouhsar Javad , Samiee Zafarghandi Mohsen 
Published: July 2023

Context Utilising crop residues is an effective strategy to compensate for the shortage of common feed resources. Different processing methods can improve the nutritional value of these by-products. Aims This study aimed to investigate the effect of sodium hydroxide (NaOH, 50 g/kg dry matter (DM)), calcium oxide (CaO, 160 g/kg DM), hydrobromic acid (HBr, 60 mL/kg DM), and hydrogen peroxide (H2O2, 57 mL/kg DM) processing on the nutritional value of common bean (Phaseolus vulgaris) residues (CBR). Methods The chemical composition of the samples was determined using standard methods. In addition, a degradability trial was conducted using the nylon-bag technique. Furthermore, in vitro digestibility of the samples was determined by the batch-culture method. Moreover, the X-ray powder diffraction technique was used to calculate the crystallinity degree of the samples. Key results Chemical processing was effective on the chemical composition of the residues (P < 0.05). Treatments of CaO, H2O2, and NaOH increased the ash content. Chemicals reduced the neutral detergent fibre and acid detergent fibre. Other treatments, excluding CaO, increased total digestible nutrients, net energy for lactation, and net energy for gain. NaOH, H2O2 and HBr treatments increased the effective ruminal degradability of DM at ruminal outflow rates of 0.02, 0.05, and 0.08/h (P < 0.0001). Chemical processing caused a decrease in gas production (GP) and estimated parameters of CBR (P < 0.0001). The decrease in GP, short-chain fatty acids, metabolisable energy, and organic-matter digestibility in the NaOH and CaO treatments was more than in HBr and H2O2 treatments. After 24 h of incubation, all treatments except CaO increased the partitioning factor and decreased the gas yield (P < 0.0001). Furthermore, processing with NaOH and H2O2 increased the microbial biomass (P = 0.0128) and its efficiency (P < 0.0001) at the end of a 24 h incubation period. Moreover, different treatments reduced the crystallinity degree of CBR compared with the control. Notably, the lowest crystallinity percentage was observed in HBr-treated samples. Conclusions This study shows that chemical treatments (except for CaO) improve CBR nutritional value under in vitro and in situ conditions. Implications In vivo tests are required to validate the results.
Enhancing Awareness of the Needs of Muslim Visitors among New Zealand Tourism Operators
Authors: Lu Jessie Yu , Carr Neil , Lee Craig , Finkler Wiebke , Walker Lloyd 
Published: July 2023

Summary
Muslim visitor-friendly tourism has become one of the fastest growing sectors of the industry. New Zealand, a country whose tourism industry is a central pillar of the national economy, has witnessed an increase in visitors from countries where Islam is the dominant religion in recent years, the COVID-19 pandemic notwithstanding. The country also has a small but significant Muslim population. It is against this background that this case study aims to enhance awareness of the faith-based needs of Muslim visitors and the steps that can be taken by tourism operators to meet these. Although the case is situated in New Zealand, it has implications beyond these borders. It explores both Muslim visitors’ and tourism operators’ perspectives, including through video material. The case highlights the importance of satisfying traveller needs in a culturally sensitive way. The end goal of this case study is to recognize the morality of doing the right thing and the business imperatives related to this.

Information
© The Authors 2023
Making exciton physics easy and affordable
Authors: Xie Yong , Ersu Gulsum , Pucher Thomas , Kuriakose Sruthi , Zhang Wenliang , Al-Enizi Abdullah M , Albrithen Hamad A H , Nafady Ayman , Bratschitsch Rudolf , Island Joshua O , Castellanos-Gomez Andres 
Published: July 2023

Abstract
We present a facile and low-cost undergraduate laboratory experiment to study exciton physics. Using a simple abrasion technique to create samples of thin-film van der Waals material samples and a low-cost spectrometer, we show that prominent excitonic features can be easily resolved in the optical transmission spectra of semiconducting transition metal dichalcogenides at ambient conditions. Our method brings interesting semiconductor quasiparticle physics to low-budget departments, hoping to expand their undergraduate laboratory curriculum.
Nanopore-based electrokinetic purification of oil-in-water emulsions with temperature and pH modulation
Authors: Zeng Qin , Xu Dequan , Wu Wenbo , Wang Yaoming , Ren Qinlong 
Published: July 2023

Abstract
Efficient purification of oil-in-water emulsions is significant for protecting global water resources. Nevertheless, the traditional passive technologies for handling oil-in-water emulsions suffer from the drawback of low cost-effectiveness due to the use of robust filtration membranes. In our previous research, an active electrokinetic-based oil droplet filtration technique was developed that relied on the negative dielectrophoretic phenomenon induced by the huge difference between the dielectric properties of oil and water. However, the effects of the temperature and pH of wastewater on the electrokinetic filtration efficiency of oil droplets have never been clarified. In the present work, a multi-physical theoretical model of electrokinetic purification of oil-in-water emulsions with modulation of temperature and pH is constructed. The dimensionless ratio of dielectrophoretic force over hydrodynamic (HD) force on an oil droplet is an essential criterion for its dynamic behavior, and it exhibits a positive correlation with purification effectiveness of oil-in-water emulsions. From numerical modeling, the magnitude of the dielectrophoretic force to HD force ratio on an oil droplet is enhanced by decreasing temperature, increasing ion concentration and a neutral pH (pH = 7.0) of oily wastewater. Then, the critical direct current voltage for realizing successful oil droplet filtration through an insulated nanopore under electrokinetics is analyzed under different parameters, with the results indicating that the amount of energy required for purification of oil-in-water emulsions can be reduced by reducing the temperature and neutralizing the pH of the aqueous solution. This work offers a theoretical understanding of electrokinetic purification of oil-in-water emulsions, contributing to its development for industrial applications.
Visual impression and texture analysis of advanced modeled iterative reconstruction (ADMIRE): improved assessment of image quality in CT for better estimation of dose reduction potential
Authors: Alikhani Babak , Raatschen Hans-Jürgen , Wacker Frank , Werncke Thomas 
Published: July 2023

Abstract
To evaluate the image quality (IQ) of advanced modeled iterative reconstruction (ADMIRE; Siemens Healthcare, Forchheim, Germany) applying image texture and image visual impression as a supplement to physical parameters such as noise level and spatial resolution. An ACR-phantom with four modules was examined at different radiation dose levels. To characterise the image texture, two Haralick texture parameters, contrast and entropy, were assessed at different dose levels and reconstruction algorithms. The visual impression of images and the low-contrast detectability were evaluated by the structural similarity index (SSIM). The spatial resolution was determined by the modulation transfer functions and the line spread function. The Haralick texture parameters, contrast and entropy, decreased with increasing ADMIRE levels. ADMIRE III, IV and V offered a comparable contrast and entropy to those calculated by filtered back projection (FBP) with a radiation dose reduction up to 50%. SSIM (low-contrast detectability) improved with increasing ADMIRE levels. SSIM calculated by ADMIRE IV and V revealed comparable IQ to FBP with a decreased CTDIvol up to 50%. Spatial resolution was retained up to 90% dose reduction. Compared to FBP at the same dose level, the image noise decreased up to 61% with higher ADMIRE levels (σ
FBP = 17.3 HU and σ
ADMIRE V
= 10.6 HU at 6.65 mGy). Taking texture analysis and visual perception into account, a more realistic assessment of the dose reduction potential of ADMIRE can be achieved than quality metrics based alone on physical measurements.
An optimized design of the pointer meter image enhancement and automatic reading system in low illumination environment
Authors: Ge Wenqi , Yu Xiaogang , Hu Xiangyu , Wang Xiaotong 
Published: July 2023

Abstract
As meter data becomes more and more important in the power industry, detection robots are led into substations for automatic collection of the pointer meters. However, the meter images captured in low illumination environments are unclear, resulting in poor recognition of the meter reading. A low-illumination image enhancement method based on virtual exposure is proposed in this paper, improving the dark and bright areas of low-illumination images, respectively. Then the image fusion was performed based on the Laplace pyramid to obtain clear meter images. In addition, the dial area was extracted using the Hough circle transform, and the pointer’s rotation center was fitted using the least squares approach. Finally, the straight line of the pointer was extracted, and the data reading was based on the line segment detector algorithm. Case studies show the above method has good robustness in low illumination environment, with high rate, and accuracy during the image enhancement and automatic reading of the pointer meter.
A blurred star image restoration method based on gyroscope data and enhanced sparse model
Authors: Yi Jinhui , Ma Yuebo , Zhu Zifa , Zhu Zijian , Tang Yuping , Zhao Rujin 
Published: July 2023

Abstract
Star sensors usually have a fixed exposure time to guarantee detection of adequate navigation stars. In a high dynamic environment, star images suffer from degradation due to spacecraft movement, which will severely affects both centroid extraction and attitude accuracy. This paper presents an algorithm for the restoration of motion-blurred star images. The algorithm employs gyroscope assistance and consists of two steps: preprocessing and motion-blurred image restoration. In the preprocessing step, the angular velocity of the gyroscope predicts the motion trajectory, position, and shape of each star point during exposure. This step ensures a good initial estimate of the blur kernel for image restoration. The image restoration step employs an enhanced sparse model inspired by blind deblurring method to solve blur kernel and latent image alternately. Simulations and experiments have verified the effectiveness of the proposed algorithm.
Progresses in implementation of STED microscopy
Authors: Lee Dong-Ryoung 
Published: July 2023

Abstract
Optical fluorescence microscopy provides molecular specificity and high contrast, which are powerful aspects in biomedical researches. Moreover, super-resolution microscopy techniques have broken through the diffraction-limited resolution, which had hindered optical microscopy. Among various techniques, stimulated emission depletion (STED) microscopy quasi-instantaneously reduces the size of the effective focal spot by suppressing the peripheral fluorescence of the excited spot with an additional depletion laser, while also providing optical sectioning. With these advantages, the usage of STED microscopy is increasing in the various field of research. Nevertheless, STED microscopy has been continuously improved to answer more biological questions. This review summarises the recent advancements and new techniques implemented for STED microscopy, including microscopy architectures, multicolour ability, deep-tissue imaging, aberration correction, three-dimensional super-resolution, fast measurement, photostability, and multimodality. It is expected that STED microscopy will further evolve and become an more widely useful tool for life sciences.
Prediction of centrifugal pump performance parameters based on a multilayer hybrid model
Authors: Chai Min , Zhang Weiwei , Xia Zhaoshun , Zhang Kang , Zheng Shuihua 
Published: July 2023

Abstract
The present paper presents a multilayer hybrid model for sensorless measurement of pump operating status, with the objective of enabling safe and stable operations while reducing energy losses. The model takes easily measurable variables such as rotational frequency and valve opening as input features to predict the performance parameters of the centrifugal pump. By integrating just-in-time learning (JITL) with Gaussian process regression (GPR) and leveraging the unique probability features of GPR, a just-in-time-learning GPR (JGPR) is developed to extract valuable feature information. The JGPR sequentially predicts the flow rate, coefficient for dynamic head, and shaft power. The predicted values are extended to other input features, which can accurately capture the characteristics of the centrifugal pump and effectively replace the process of acquiring process parameters through sensors. Finally, the mechanism model is integrated into the multilayer JGPR model to calculate the performance parameters of centrifugal pump. The validation results indicate a strong agreement between predicted and experimental results, with predicted meeting performance parameters all engineering requirements. Compared to a single model, the multilayer hybrid model significantly improves the reliability of predictions, demonstrating the feasibility of using this approach to predict performance parameters. This research provides valuable insights into the measurement of sensorless pump operating states, enabling safe and efficient operation in complex conditions.
Open-set federated adversarial domain adaptation based cross-domain fault diagnosis
Authors: Xu Shu , Ma Jian , Song Dengwei 
Published: July 2023

Abstract
Data-driven fault diagnosis techniques utilizing deep learning have achieved widespread success. However, their diagnostic capability and application possibility are significantly reduced in real-world scenarios where fault modes are not fully covered and labels are lacking. Owing to potential conflicts of interest and legal risks, industrial equipment fault data usually exist in the form of isolated islands, making it difficult to carry out large-scale centralized model training. This paper proposes open-set federated adversarial domain adaptation (OS-FADA) to achieve collaborative evolution of fault diagnosis capabilities among cross-domain data owners while protecting privacy. The OS-FADA is a general fault diagnosis framework that employs two-phase adversarial learning. First, faced with the data distribution shift caused by variable working conditions, a generative adversarial feature extractor training strategy is designed to achieve domain-invariant fault feature extraction by approximating the feature distributions of clients to a unified generated distribution. Second, considering the label distribution shift of unknown faults occurring in the target client, an adversarial learning method is proposed to establish decision boundaries between known and unknown faults. Ultimately, the co-evolution of fault diagnosis models between clients is achieved by combining two-phase adversarial learning and federated aggregation. Results from an industrial gearbox case demonstrate that our proposed method achieves over 20% diagnostic accuracy improvement and has excellent potential for cross-domain fault diagnosis tasks with unknown faults when the data silos problem cannot be ignored.
Inter-site generalizability of EEG based age prediction algorithms in the preterm infant
Authors: Stevenson Nathan J , Nordvik Tone , Espeland Cathrine Nygaard , Giordano Vito , Moltu Sissel J , Larsson Pål G , Klebermaß-Schrehof Katrin , Stiris Tom , Vanhatalo Sampsa 
Published: July 2023

Abstract

Objective. To overcome the effects of site differences in EEG-based brain age prediction in preterm infants. Approach. We used a ‘bag of features’ with a combination function estimated using support vector regression (SVR) and feature selection (filter then wrapper) to predict post-menstrual age (PMA). The SVR was trained on a dataset containing 138 EEG recordings from 37 preterm infants (site 1). A separate set of 36 EEG recordings from 36 preterm infants was used to validate the age predictor (site 2). The feature distributions were compared between sites and a restricted feature set was constructed using only features that were not significantly different between sites. The mean absolute error between predicted age and PMA was used to define the accuracy of prediction and successful validation was defined as no significant differences in error between site 1 (cross-validation) and site 2. Main results. The age predictor based on all features and trained on site 1 was not validated on site 2 (p < 0.001; MAE site 1 = 1.0 weeks, n = 59 versus MAE site 2 = 2.1 weeks, n = 36). The MAE was improved by training on a restricted features set (MAE site 1 = 1.0 weeks, n = 59 versus MAE site 2 = 1.1 weeks, n = 36), resulting in a validated age predictor when applied to site 2 (p = 0.68). The features selected from the restricted feature set when training on site 1 closely aligned with features selected when trained on a combination of data from site 1 and site 2. Significance. The ability of EEG classifiers, such as brain age prediction, to maintain accuracy on data collected at other sites may be challenged by unexpected, site-dependent differences in EEG signals. Permitting a small amount of data leakage between sites improves generalization, leading towards universal methods of EEG interpretation in preterm infants.
Beam extraction under Cs-free conditions in HUST negative ion source
Authors: Zuo Chen , Yang Jinghan , Li Zengshan , Chen Peng , Song Fei , Li Dong , Chen Dezhi 
Published: July 2023

Abstract
A radio-frequency driven negative hydrogen ion source is under development at Huazhong University of Science and Technology, which aims to investigate the physics of production and extraction of negative ions. The source operational parameters are investigated to investigate the source plasma characteristics and to optimize the extraction properties before cesium injection, which means, in this study, that negative ions were mostly produced by reactions in the plasma volume. The magnetic filter field generated by a plasma grid (PG) current flowing through the PG can cool down the electron temperature below 1 eV, but simultaneously increased the plasma density in the extraction region. The plasma asymmetry in the direction perpendicular to the PG filter field, is discussed and compared with that in other ion sources. As the PG current increased, the asymmetry factors tended to increase first and then decrease. Biasing the PG positively with respect to the source body can reduce the co-extracted electrons effectively, resulting in reducing the electron to H− ion current ratio. An extracted negative beam with a current density of about 19 A m−2 and an energy of 12 keV was achieved under 20 kW RF power and 0.3 Pa filling pressure, with a ratio of electron current to ion current of about 54.
Classical interpretation for the influence of XUV pulse width on the streaking time delay and the oscillation amplitude of the momentum shift
Authors: Khan Shahab Ullah , Xie Meng-Fei , Zhong Ming-Chen , Wang Shun , Yan Pei-Guang , Jiang Wei-Chao 
Published: July 2023

Abstract
We numerically investigate both the streaking time delay and the oscillation amplitude of the momentum shift of the photoelectron and justify them physically by developing a classical model based on the weak field approximation. The streaking time delay is insensitive to the extreme ultraviolet (XUV) pulse duration, while the oscillation amplitude obviously reduces as the XUV duration increases. This XUV duration dependence is attributed to the ionization probability of electron at initial times other than the peak of the XUV pulse. We propagate the classical electron trajectories originating at different initial times in the coupled Coulomb-laser (IR) potential and average the momentum shift for each trajectory over the width of the XUV pulse. By extracting the streaking time delay and the oscillation amplitude from this averaged momentum shift, the classical model results and the time-dependent Schrödinger equation results are found to be in good agreement. Both the insensitivity of the streaking time delay and the sensitivity of the oscillation amplitude on the XUV pulse width are well explained by our classical model considering initial ionization time average. Analytical estimation for the oscillation amplitude is obtained from the model of initial ionization time average.