bluuebunny/crossref_metadata_2025_split huggingface dataset:
“I want my children to become global citizens”
Authors: Joo Sun Jung , Chik Alice , Djonov Emilia 
Published: July 2023

AbstractIncreasing globalisation has spurred a flow of migrants worldwide. These movements include exchanges of migrants’ linguistic repertoires across regions, transforming the ways in which they define themselves in a multilingual society. Unlike identity categories such as ethnic identity, the contested concept of citizenship identity has remained underexplored in heritage language (HL) research. Focusing on Korean migrant families in Australia, this study extends the limited knowledge about the roles of citizenship in HL maintenance across different generations. Specifically, drawing on interviews with six Korean-speaking parents and their children, this study compares the ways in which migrant parents and their primary and secondary school-aged children relate a HL to their citizenship status. Thematic analysis reveals that while HL-speaking children tend to associate their language with national or ethnic identities, migrant parents are more likely to identify their children as global citizens whose HL competencies are essential for their future career and economic advantage. The study contributes to scholarship at the intersection of HL, citizenship, and globalisation.
Anthropomorphism, anthropocentrism, and human-orientation in environmental discourse
Authors: Schmitt Casey R. 
Published: July 2023

Abstract
This article surveys and reflects upon the influence of anthropomorphism in environmental and sustainability discourses. It summarizes key perspectives on and tensions surrounding anthropomorphizing rhetorics, ultimately arguing that such rhetorics need not be anthropocentric. The article first defines core concepts and terminology, including anthropomorphism and anthropocentrism. It then provides an ideological history of environmental communication’s tension between humanism and more-than-humanism, highlighting the role of communication and symbolism in shaping (or constraining) perspectives and making a case for a middle path of human-oriented (rather than human-centered) appeals, before concluding with recommendations for future work.
Modal particles in ironic utterances
Authors: Härtl Holden , Thimm Jana-Maria 
Published: July 2023

Abstract
This study contributes to theorizing about the semantic characteristics of verbal irony. Specifically, we
investigate the function of the modal particles ja (lit. ‘yes’) and aber (lit. ‘but’) that often
occur in ironic utterances in German, cf. Das war aber ein aufregender Film (‘That was prt a thrilling
movie’). Our main claim is that modal particles are used in ironic utterances to reflect the speaker’s intention to pretend
surprise and produce a mockery effect by manifesting the utterance as an echo. Modal particles require some mutual knowledge to be
contained in the common ground, and we link this notion to the interplay between echoic mention and pretense in interpreting an
utterance as ironic. In an empirical approach to our claim, we report on results from an online questionnaire study, in which we
test whether the presence of a modal particle leads to a higher perception of pretense in ironic reactions. While the data
generally confirm our prediction, we found that only aber affects pretense perception but not
ja, which can be explained by the former’s contrastive nature. The view we pursue implies that attitudinal
content is a graded feature and that such a notion is applicable to surprise and pretense involved in verbal irony.
Design and analysis of a photonic crystal-based biosensor for the detection of chikungunya virus
Authors: Gowdhami D , Balaji V R 
Published: July 2023

Abstract
A two-dimensional photonic crystal biosensor is theoretically demonstrated and investigated based on refractive index sensing. It detects the chikungunya virus (CHIKV) in the various blood components with high sensitivity of 421.5 nm/RIU. Simulation and various analyses are done with both normal and infected blood constituents (uric acid, platelets and plasma) to detect CHIKV. The sensor operates within the wavelength range of 1230–1560 nm. The important optical parameters such as sensitivity and quality factor are analyzed and numerical investigations are done with the finite difference time domain method. The sensor is built with a circular array of holes etched on a silicon slab in a hexagonal lattice pattern. A nanohole resonant sensing cavity is placed at the center of two waveguides, enhancing the light–matter interaction of the analyte and trapping the optical mode at the nanohole of the sensor. When the sensor is completely submerged in blood constituents infected with CHIKV (plasma, platelets and uric acid), the resonating modes undergo a shift as the refractive index of each analyte is unique. The sensor has a very high sensitivity of 421.5 nm RIU−1, and a good quality factor of 229.68 for the different blood constituents is obtained. A maximum transmission of 89.25% with a detection limit of 0.01 are obtained and reported in this work.
New wormhole model with quasi-periodic oscillations exhibiting conformal motion in
f(,T)
gravity
Authors: Mustafa G , Errehymy Abdelghani , Maurya S K , Jan Munsif 
Published: July 2023

Abstract
This analysis explores the new wormhole (WH) solution in the background of teleparallel gravity with minimal matter coupling. To complete this study, we consider the conformal symmetry with non-zero Killing vectors. The exact shape function is computed by considering the linear equation of state with the phantom regime. The energy conditions are investigated for the calculated shape function with the equation of state parameter. The presence of exotic matter is confirmed due to the violation of the null energy condition. The current study also explores the physical properties of the epicyclic frequencies with quasi-periodic oscillations. In the astrophysical, epicyclic frequencies are extensively employed to explore the self-gravitating system. It is concluded that a stable WH solution is acceptable for WH geometry.
Machine learning based priors for Bayesian inversion in MR imaging
Authors: Marschall Manuel , Wübbeler Gerd , Schmähling Franko , Elster Clemens 
Published: July 2023

Abstract
The Bayesian approach allows the incorporation of informative prior knowledge to effectively enable and improve the solution of inverse problems. Obtaining prior information in probabilistic terms is, however, a challenging task. Recently, machine learning has been applied for the training of generative models to facilitate the translation of historically or otherwise available data to a prior distribution. In this work, we apply this methodology to undersampled magnetic resonance imaging. In particular, we employ an autoencoder as part of a generative model to statistically regularise and solve the high-dimensional inverse problem using Bayesian inversion. Comparison with a classical Gaussian Markov random field prior is performed and numerical examples highlight the possible advantages of data-driven priors.
Integrability of planar-algebraic models
Authors: Poncini Xavier , Rasmussen Jørgen 
Published: July 2023

Abstract
The quantum inverse scattering method is a scheme for solving integrable models in

1
+
1

dimensions, building on an R-matrix that satisfies the Yang–Baxter equation (YBE) and in terms of which one constructs a commuting family of transfer matrices. In the standard formulation, this R-matrix acts on a tensor product of vector spaces. Here, we relax this tensorial property and develop a framework for describing and analysing integrable models based on planar algebras, allowing non-separable R-operators satisfying generalised YBEs. We also re-evaluate the notion of integrals of motion and characterise when an (algebraic) transfer operator is polynomial in a single integral of motion. We refer to such models as polynomially integrable. In an eight-vertex model, we demonstrate that the corresponding transfer operator is polynomial in the natural Hamiltonian. In the Temperley–Lieb loop model with loop fugacity

β
∈

C

, we likewise find that, for all but finitely many β-values, the transfer operator is polynomial in the usual Hamiltonian element of the Temperley–Lieb algebra

T
L

n

(
β
)

, at least for

n
⩽
17

. Moreover, we find that this model admits a second canonical Hamiltonian, and that this Hamiltonian also acts as a polynomial integrability generator for small n and all but finitely many β-values.
Design and Implementation of the Simulated EEPROM for the SFP56 Optical Module
Authors: Dou Hu 
Published: July 2023

Abstract
There is usually no EEPROM in MCU, and EEPROM inside the SFP56 optical module is usually implemented by MCU and EEPROM chip, which not only increases the cost but also occupies the PCB area. To solve the above problems, I2C peripheral, FLASH, and RAM are used to implement the simulated EEPROM. Aiming at the difference between EEPROM and FLASH, a RAM + FLASH method is proposed to implement the simulated EEPROM. The results show that the simulated EEPROM can meet the writing and reading byte time of the EEPROM stipulated by the SFF-8431 protocol. The simulated EEPROM not only saves PCB area but also reduces SFP56 optical module cost.
Design of DSP-Based Reactive Power Compensation Controller
Authors: Shen Jiuzhi , Qiu Bingjun , Fu Zhifang , Chen Naichao 
Published: July 2023

Abstract
The DSPTMS320F28335, which is utilized as the main control chip, aims to measure the system power factor and current voltage, control the switching capacitor, improve the accuracy of the capacity of the switching capacitor and reduce the regulation time. The hardware circuit of the system is designed and the experimental model is built. According to the experimental results, the reactive power compensation controller with DSP as the main control chip can quickly compensate the power factor to more than 0.9 even under the condition of load change and harmonic influence.
A Design Method for Controlling the Safe Distance of Convolution Image Recognition Based on FPGA
Authors: Li Bingkun , Zhao Xinxin , Wei Chaofei , Li Lele , Wang Shuai , Jiang Kai 
Published: July 2023

Abstract
This is an FPGA-based image recognition system. It is built on the FPGA-SOC platform, which uses less power and operates more quickly. This method can be used to remind people inside to maintain a safe distance to stop the coronavirus from spreading. The system can ensure a high accuracy rate and identification speed. At the same time, the system detects the safe distance and issues pertinent prompts according to the training of the private data set. Finally, the system’s implementation is appropriate for tiny IoT devices with extremely low power consumption. The system is implemented by utilizing a custom CPU on an FPGA. The RISC-V architecture used in the self-developed CPU allows for 32-bit embedded CPU performance and operating effectiveness at the expense of an 8-bit CPU. An HD camera and an infrared camera that work together are put on it. The upgraded Tiny YOLO2 algorithm in the CPU can help the infrared camera process the HD camera’s data and perform recognition and judgments. Finally, it is possible to implement data collection based on 720p resolution, which precisely determines whether the direct distance between individuals is a safe distance and then sends the appropriate reminders. Its power usage is 1.3 W. It can address the issue of preventing epidemics and the security risks brought on by a large population density in public areas.
Simulation and Research of Railway Foreign Body Invasion System Based on Single Chip Microcomputer
Authors: He Zhengyi , Li Ningzhou , Wei Xiaojuan 
Published: July 2023

Abstract
With the accelerating growth of railway operating mileage in China, ensuring the safety of railway operations has become a critical problem. According to some previous studies, the railway foreign body invasion limit is a major threat to the safe operation of the railway. As the current stage mainly adopts the combination of manual inspection and video monitoring, it has some disadvantages, such as being time-consuming, laborious, and inefficient. Meanwhile, it cannot timely detect potential danger. Therefore, the research on the simulation of railway foreign body intrusion systems based on single-chip microcomputers is carried out. The program is compiled in C language and uses the microcontroller to achieve real-time foreign object detection and alarm for encroachment. This paper mainly introduces the principle of the system and uses Proteus software to design and simulate the circuit. Last but not least, welding is carried out according to the circuit diagram, and the physical test is carried out to verify the feasibility of the design.
Research on Reducing the Overall Reflectivity of the Electric Wave Anechoic Chamber
Authors: He Zibin , Xing Hao , Zhang Huiru , Song Deqiang , Song Shujuan , Wu Mengjuan , Chen Quan , Wang Heying 
Published: July 2023

Abstract
In this paper, a cylindrical trimming method is applied to fit the hemisphere, and the total reflectivity on a certain boundary is analyzed through a series of derivations and calculations. An equation that is used to calculate the reflectivity of the trimming cylindrical anechoic chamber is obtained, and obviously, it has no relationship with the spherical coordinate radius r and can be utilized to optimize the trimming size. The proposed scheme of the non-standard anechoic chamber is proved to be a simplified and effective way to optimize the anechoic chamber. An anechoic chamber is constructed to illustrate the correctness of the theory. The simulation results show that S
11 has achieved good results in most frequency bands.
Design of Pairing Mechanisms for the Device-to-Device Communication System
Authors: Ma Lizhi , Liu Guangyu , Liu Shuo 
Published: July 2023

Abstract
The potential of device-to-device (D2D) communication lies in improving system performance and user experience. Thus, D2D communication is widely concerned. For the D2D communication system, this work investigates the D2D pairing problem to maximize the sum rate of all D2D pairs. To comprehensively compare the performance of different algorithms, three pairing mechanisms are proposed based on the graph theory and the matching theory. The simulation results show the impact of the network scale on the optimized results. And for small and large network scales, the Hungary algorithm and the minimum distance matching algorithm are selected as the D2D pairing mechanism, respectively.
Maximum Exposure Evaluation for MIMO Based on Optimization Algorithm
Authors: Zhang Xuejun , Zhou Yinfeng , Li Huirong 
Published: July 2023

Abstract
IEC/IEEE FDIS 63195-2 requires the maximum exposure evaluation to determine if the product meets the radiation limit requirements specified by ICNIRP. The miniaturization and integration of millimeter wave antennas make it possible to deploy antenna arrays supporting Multiple-Input Multiple-Output (MIMO) technology in mobile terminals, which brings challenges to traditional exposure compliance testing. This is caused by the complex electromagnetic environment generated around the equipment by beam focusing technology and the difficulty in determining the maximum exposure of electromagnetic exposure dose by traditional measurement methods. However, mathematical model-based evaluation methods may produce overly conservative results, limiting the maximum allowable transmit power of 5G devices and resulting in wasted system performance. In this study, we take advantage of the optimization algorithm in searching for globally optimal solutions under multivariate constraints, and its search strategy is improved to evaluate the largest exposure of millimeter wave MIMO antenna arrays in the target region.
Background reduction in PET by double Compton scattering of quantum entangled annihilation photons
Authors: Kim Donghwan , Rachman Agus Nur , Taisei Ueki , Uenomachi Mizuki , Shimazoe Kenji , Takahashi Hiroyuki 
Published: July 2023

Abstract
The reduction of background events, such as random and scatter events, can improve
positron emission tomography (PET) images quantitatively. The quantum entanglement property of
annihilation photons has been theoretically studied and experimentally validated. Recently,
simulation studies on PET image reconstruction using the quantum entanglement property of
annihilation photons and studies on the measurement of entanglement and polarization properties
with scintillation crystal arrays demonstrated that PET images with less background can be
achieved. This study utilized the quantum entanglement property of annihilation photons
in a typical PET system with block detectors. A data acquisition method for
quantum entanglement PET (QEPET) and system response modelling for QEPET image reconstruction were
proposed and implemented. An experimental study was conducted using a small animal PET system
composed of Ce:GAGG scintillation crystals whose dimensions are 2.5 × 2.5 ×
4mm3. The diameter of the system was 79.3 mm. Signals from all individual
crystals were processed parallelly and independently; thus, Compton scatter and absorption
crystals within a module were obtained directly. The 28 MBq experiment result revealed the random
background ratio of QEPET was approximately 20% lower than that of PET and the count rate of
QEPET was approximately 0.1% that of PET. Evaluation on reconstructed images from the 28 MBq
experiment revealed that the signal-to-background ratio of QEPET was approximately two times
better than that of PET while the signal-to-noise ratio of QEPET was about 77% of that of
PET. The method proposed in this study is expected to improve PET images with high background,
such as those with a high activity and high background gamma rays and improve range verification
in proton therapy.
Parametrization of electron sheath expansion for Langmuir probe I-V traces
Authors: Jin Chenyao , Yip Chi-Shung , Ghim Young-chul , Zhang Wei , Jiang Di , Xu Guo Sheng 
Published: July 2023

Abstract
The Langmuir probe is a common plasma diagnostic widely
utilized in various fields of plasma physics, and its associated
methods of data analysis remains in active development. In this
work, we present an attempt using a power law parametrization model
similar to Sheridan's empirical formulation is to describe the
sheath expansion effect on electron current in an argon plasma. The
fitting results using the power law parametrization method show
observably better consistency compared to those using conventional
interception method and inflection method. It is also observed that
when used to fit the electron saturation current at probe bias
voltages well beyond the plasma potential plus the argon ionization
energy, resultant curve fitted by power law parametrization, as with
that by linear fitting, deviates significantly from the curve fitted
at lower bias voltages, albeit the saturation obtained fitted using
the power law method remained consistent with that fitted at lower
probe bias voltages. Probable causes of this deviation include anode
glow or spots near the probe and the changes of the global plasma
parameters via electron absorption at very high probe bias. The fact
that the resultant electron saturation current remained consistent
hints that these non-trival effects can also be approximated by
power law parametrization.
SiPM signal processing via multiple linear regression
Authors: Schmailzl Wolfgang , Piemonte Claudio , Garutti Erika , Hansch Walter 
Published: July 2023

Abstract
This paper presents a novel approach using multiple linear regression to process transient signals from silicon photomultipliers.
The method provides excellent noise suppression and pulse detection in scenarios with a high pulse count rate and superimposed pulses.
Insights into its implementation and benchmark results are presented.
We also show how this approach can be used to automatically detect the pulse shape from a given transient signal, providing good detection for count rates up to 90 MHz.
Experimental data are used to present an application where this algorithm improves charge spectrum resolution by an order of magnitude.
Performance comparison of water Cherenkov detectors with different geometries
Authors: Bisconti F. , Chiavassa A. 
Published: July 2023

Abstract
In the framework of the development of the SWGO experiment,
we have performed a detailed study of the single unit of an
extensive air shower observatory based on an array of water
Cherenkov detectors. Indeed, one of the possible water Cherenkov
detector unit configurations for SWGO consists of tanks, and to
reach a high detection efficiency and discrimination capability
between gamma-ray and hadronic air showers, different tank designs
are under investigation. In this study, we consider and compare
double-layer tanks with several sizes, shapes and number of
photo-multiplier tubes (PMTs). Muons, electrons, and gamma-rays with
energies typical of secondary particles in extensive air showers
have been simulated entering the tanks with zenith angles from 0 to
60 deg. The comparison between different tank geometries was
evaluated considering the number of photoelectrons produced by the
PMTs, the detection efficiency, and the time resolution of the
measurement of the first photon. We will show that with circular and
hexagonal tanks better performance can be obtained than with the
square ones, and that it improves for smaller tanks as expected.
The footprint of human-induced climate change on heat-related deaths in the summer of 2022 in Switzerland
Authors: Vicedo-Cabrera Ana M , de Schrijver Evan , Schumacher Dominik L , Ragettli Martina S , Fischer Erich M , Seneviratne Sonia I 
Published: July 2023

Abstract
Human-induced climate change is leading to an increase in the intensity and frequency of extreme weather events, which are severely affecting the health of the population. The exceptional heat during the summer of 2022 in Europe is an example, with record-breaking temperatures only below the infamous 2003 summer. High ambient temperatures are associated with many health outcomes, including premature mortality. However, there is limited quantitative evidence on the contribution of anthropogenic activities to the substantial heat-related mortality observed in recent times. Here we combined methods in climate epidemiology and attribution to quantify the heat-related mortality burden attributed to human-induced climate change in Switzerland during the summer of 2022. We first estimated heat-mortality association in each canton and age/sex population between 1990 and 2017 in a two-stage time-series analysis. We then calculated the mortality attributed to heat in the summer of 2022 using observed mortality, and compared it with the hypothetical heat-related burden that would have occurred in absence of human-induced climate change. This counterfactual scenario was derived by regressing the Swiss average temperature against global mean temperature in both observations and CMIP6 models. We estimate 623 deaths [95% empirical confidence interval (95% eCI): 151–1068] due to heat between June and August 2022, corresponding to 3.5% of all-cause mortality. More importantly, we find that 60% of this burden (370 deaths [95% eCI: 133–644]) could have been avoided in absence of human-induced climate change. Older women were affected the most, as well as populations in western and southern Switzerland and more urbanized areas. Our findings demonstrate that human-induced climate change was a relevant driver of the exceptional excess health burden observed in the 2022 summer in Switzerland.