bluuebunny/crossref_metadata_2025_split huggingface dataset:
Mock HI-galaxy catalogs and HI mass functions for future large-scale surveys
Authors: Thananusak N , Sawangwit U 
Published: February 2023

Abstract
One of the interesting modern astrophysics topics is the discrepancy in HI-galaxy number density between the standard model ΛCDM prediction and observations, e.g., ALFALFA and HIPASS. Since then, the simulation over-predicted the abundance and HI mass (MHI) of small satellite and low-mass galaxies. Both problems still require sensitive instruments for wider and deeper HI surveys to increase the number of low-mass HI-galaxy samples. Current HI-galaxy surveys can only reach down to ∼ 107 Solar mass (M⊙). The sensitivity of upcoming radio surveys such as FAST or ASKAP are expected to reach lower MHI and higher redshift(z) HI-galaxy data. Alternatively, the HI source catalogs from cosmological simulations are used to determine the expected HIMF with the upcoming HI survey specification. This work aims to compare the HIMF in various HI conversion recipes. Various HIMF were determined by using the Multidark(Planck) catalog with the box (MB) and the light-cone (ML) types, and were parameterized by the Schechter function. In comparison to the Schechter function, we discovered that the HIMF from cold gas mass (Mcold) conversion method begins to diverge on MHI ≲ 108.5 M⊙. The HIMF from halo mass (Mhalo) recipe, which was constrained by the optical counterpart galaxy clustering, provided a satisfactory relevant shape of HIMF. The best-fit parameter α of MB and ML are equal to 0.00 ± 0.010 and −0.02 ± 0.0026, respectively. The flatter α values from simulations could indicate that the number density of low-MHI is underestimated.
Sine-Gordon expansion method for the kink soliton to Oskolkov equation
Authors: Kheaomaingam Nupan , Phibanchon Sarun , Chimchinda Songvudhi 
Published: February 2023

AbstractWe used the sine-Gordon expansion method to find kink solutions of the Oskolkov equation. A solution can be found by matching coefficients and choosing some parameters of the series. We found two possible solutions—one is kink and the other is a hybrid of kink and pulse solitons. These solutions can be used for further studies, such as their stability or their interaction. Specific parameters from the solution could be useful for controlling the physical behavior of a system governed by the Oskolkov equation.
Effect of sintering time on phase, physical properties, microstructure and thermal conductivity of Y(Ba1-x
La
x
)2Cu3O7-δ ceramics
Authors: Yawirach S , Wannasut P , Boonsong P , Watcharapasorn A 
Published: February 2023

Abstract
This work investigates the effects of various sintering conditions on phase, physical properties microstructure and thermal conductivity of Y(Ba1-x
La
x
)2Cu3O7-δ where x = 0, 0.05, 0.10, 0.15, 0.20 and 0.25 mol fraction. The sintering conditions involved the sintering temperature of 920 °C and sintering time of 6, 8, 10 and 12 h. It was found that pure phase could be obtained in the samples sintered for 6 h regardless of composition. However, small amount of BaCuO2 secondary phase was obtained at other sintering time. The relatively low density and significantly reduced grain size was obtained in the samples with high La content (e.g. x = 0.20 and 0.25) regardless of the sintering time. This showed that La addition had apparent effects on sintering ability and grain growth. Phase analysis indicated that the structure changed from orthorhombic to tetragonal when the La concentration reached 0.20 and 0.25 mol fraction. SEM images of all ceramics also indicated irregular shaped grains. The effects of variation in density, microstructure and composition on the thermal conductivity of all ceramics were also discussed in details.
Enhancements of relativistic electron flux at geostationary orbit during high-intensity, long-duration, continuous AE activity (HILDCAA) from 2015 to 2017
Authors: Yeeram T 
Published: February 2023

AbstractThis work characterizes the enhancements of relativistic electron flux (MeV) in the geostationary orbit (GEO) in High Intensity, Long Duration, Continuous AE Activity (HILDCAA) occurred during declining phase of solar cycle 24. We employed the relativistic electron (0.8 - 2.0 MeV) flux and low-energy electron (40 - 130 keV) flux measured by GOES-13 and POES satellites, respectively. Typically, the relativistic electron flux increases, while the low-energy electron flux decreases in the long recovery phase of moderate storms. The enhancements of E > 0.8 MeV and > 2.0 MeV occurred promptly and ∼1.0 day after the HILDCAA onset, respectively. A case study of short HILDCAA events shows that low solar wind dynamic pressure and long-lasting high amplitude Alfvén waves are efficient triggers of the relativistic electron enhancement at GEO. Large convection from magnetic reconnection in HILDCAA would induce substorms that injected more seed electrons for the acceleration. The peaks of the E > 2.0 MeV flux are more delayed than of the E > 0.8 MeV. After the onset of short- and prolonged-period HILDCAA, the peak flux of E > 0.8 MeV occurred about 2 and 4 days, respectively, and of E > 2.0 MeV occurred about 2 and 5 days, respectively.
Random-telegraph noise mitigation and qubit decoherence in solid-state experiments
Authors: Kamjam Nattawut , Pathumsoot Poramet , Chantasri Areeya 
Published: February 2023

Abstract
We investigate the recently proposed theoretical models and algorithms in Song et al. [1] for mitigating decoherence in solid-state qubit systems, where qubits are affected by charge (random telegraph) noises. The model includes a setup of a logical qubit (data qubit) and a spectator qubit, where the latter is used as a probe of the noise. The probe results can be used in correcting the phase error in order to improve the decoherence of the data qubit. In this work, we apply the proposed model with parameters extracted from recent solid-state qubit experiments. We extract parameters such as the noise switching rates, the qubit sensitivities to noise, and the measurement dead time. Using these parameters, we then numerically simulate the data qubit’s phase and the qubit decoherence. We also show that the proposed phase-correction technique using Bayesian estimation can improve the data qubit decoherence significantly.
Estimating unknown qubit phase under telegraph noises using recurrent neural network
Authors: Rojanasirivanit Suttavee , Pathumsoot Poramet , Chantasri Areeya 
Published: February 2023

Abstract
We consider a system of qubits affected by an environmental random-telegraph process (RTP) noise and investigate the recently proposed idea of using a spectator qubit (SQ) as a noise probe to remove noise effects from a data qubit (DQ). By measuring the SQ at various times with particular measurement bases, their measurement readouts can be used to extract the information of the noise effects. In this work, we propose the use of recurrent neural network (RNN), with the Long short-term memory (LSTM) layers, to process the SQ’s readouts and train the model to estimate the errors occurred in the DQ. We present numerical results of the DQ’s and SQ’s phases and show that the LSTM can estimate the unknown DQ’s phase with the estimation accuracy depending on the SQ’s noise sensitivity.
Laboratory implementation of Fourier transform infrared (FTIR) spectrograph using a super-continuum laser
Authors: Kunanta N , Artsang P , Sangtawesin S , Talataisong W , Meemon P 
Published: February 2023

Abstract
Fourier Transform infrared (FTIR) spectroscopy is a technique to indirectly measure the spectrum of electromagnetic wave over a broad range. The vibrational response signature will be revealed through the absorption spectrum. The super-continuum laser is the appropriate option for using as a light source of FTIR because of its broad spectral bandwidth and high spatial coherence, which could expand the observable region. In this work, a custom design of laboratory prototype of FTIR system using a super-continuum laser with a wavelength in the range of 1500 – 2 400 nm (6667 – 4167 cm−1) is presented. The system was designed to have a combination of monochromatic and broadband interferometers in a free space Michelson interferometer configuration. An interferogram of a monochromatic laser at 532 nm (18 797 cm−1) was used to correct the phase distortion in the interferogram of the broadband light source. The location of peaks and valleys of the monochromatic interferogram were used to resample the broadband interference signal. The resulting spectrum was analyzed and then compared to the theoretical spectrum for further performance improvements.
Research on Image Edge Detection Algorithm Based on CORDIC
Authors: Wang Yanlin 
Published: February 2023

Abstract
Image edge extraction is the foundation of high-level image processing. In view of the characteristics of large amount of square root algorithm and difficult hardware implementation in traditional Canny edge detection, the CORDIC algorithm is proposed in this paper, and the square root operation is completed by shifting, adding and subtracting, and multiplying. According to the experiment, under the premise of limited resources on FPGA, the image edge extraction can be completed in real time by this method, which opens up a new idea for real-time image processing.
Influence of Pixel Design on Charge Transfer in Pinned Photodiode CMOS Image Sensors
Authors: Liu Lu , Yang Shaohua , Yan Ming , Li Binkang , Guo Yang , Guo Mingan , Li Gang , Zhou Errui 
Published: February 2023

Abstract
The influence of pixel design on charge transfer, mainly on potential barrier and potential pocket, is investigated in this paper. By simplifying the interface region between the pinned photodiode (PPD) and the transfer gate (TG), an intuitive and simple method for analyzing the potential barrier and pocket is presented. Through TCAD simulations, the validity of the analysis method is verified, and the influence of some key dimension and process parameters in PPD pixel design on the potential barrier and pocket is clarified. The whole study help improve the understanding of the charge transfer limitation mechanism, and can achieve high charge transfer efficiency and low image lag noise in the PPD pixel design of CMOS image sensors (CISs).
Shape Dependence of Silver Nanowires on Synthesis Conditions and it’s Effect on the Optical and Electrical Properties
Authors: Zhao Zhenzhen 
Published: February 2023

Abstract
As the market share of optoelectronic devices grows yearly, the transparent conductive electrodes that guarantee device performance subsequently gain attention. In order to solve the cost issue of the most commonly commercialised transparent conductive electrodes (indium tin oxide) and the problem that they cannot be used in portable wearable devices, flexible carbon-based hybrid nanomaterials are considered as an alternative. But, it still suffers the complicated synthesis process. Thus, silver nanowire (AgNW) is regarded as the most promising material with advantages of the facile synthesis process, high conductivity and transparency. The synthesis conditions and AgNW morphology are believed to be vital for their optical and electrical properties. This research investigated the effect of synthesis conditions (capping agent molecular weight and compositions, reaction temperature and the stirring rate) and discussed the connection between the optical transmission and electrical resistance of coated films fabricated by AgNW with various morphology. Results show that heavier capping agents with more viscous solutions are more favourable for long wire growth, and mixed capping agent solutions can achieve higher aspect ratios. Both relatively low reaction temperature and no stirring could prevent silver particles nucleation and agglomeration, achieving longer nanowires. The AgNW-coated film by nanowires with longer lengths could have more advantages in the trade-off between conductivity and transparency for better performance. This article illustrates and explains the influence of factors in the synthesis process on its morphology and functionality, creating more possibilities for the development and application of flexible transparent conductive electrodes.
Design of Experimental Circuit Board of Spectrometer Amplifier in Nuclear Electronics
Authors: Liu Guanhua , Lai Wanchang , Jiang Yunrui , Shi Jie 
Published: February 2023

Abstract
The signal output by a nuclear radiation detector is small in amplitude and irregular in waveform, which needs to be amplified and shaped to measure accurately. Spectrometer amplifiers assume the role of signal amplification and shaping in nuclear radiation measurement instruments, strictly maintaining useful information from the detector output (such as energy information and time information of the rays) and minimizing their distortion during signal processing. According to the needs of undergraduate experimental teaching and nuclear instrument development and application of nuclear electronics courses in nuclear science and technology, this paper designs a flexibly switchable pole zero phase extinction circuit, linear pulse amplification circuit, integral filter forming circuit, and baseline restoration circuit in the experimental circuit board of spectrometer amplifier. The total magnification is about 0 ~ 2040 times adjustable, and the forming time is 0~20μs adjustable. It has the functions of limiting voltage amplitude and optional input and output polarity, which can be adapted to scintillator detectors, proportional counters, Si-PIN, SDD, HpGe and other semiconductor detectors.
Application of Ultrasonic Testing Method in Particle Detection of GIS Handover Test
Authors: Man Yuyan , Zhang Chi , Tang Qinghua , He Jin , Cao Meng , Zhao Qi 
Published: February 2023

Abstract
Ultrasonic partial discharge detection is a necessary test in GIS handover test, which is very significant to detect the internal defects of GIS. This article introduces in detail how the ultrasonic partial discharge detection method is applied to the GIS handover test through a case in which the internal particles are found through the ultrasonic partial discharge detection method in the GIS handover test. It also fully proves that the ultrasonic partial discharge detection method is very effective for discovering the internal particles of GIS through this case. The experience of this case can provide a very meaningful experience for the subsequent GIS handover, operation and maintenance tests.
A Case Analysis of Particle Defects Found in 220kV GIS by Ultrasonic Partial Discharge and SF6 Gas Decomposition Products Joint Detection
Authors: He Jin , Li Songyuan , Zhang Chi , Cao Meng , Chen Rong , Zhu Xuliang 
Published: February 2023

Abstract
The particles inside GIS have become the biggest factor affecting the safe and stable operation of GIS. How to effectively and timely find the particle defects is very important to ensure the reliable operation of GIS. This article describes in detail how to find particles in GIS through ultrasonic partial discharge method and comprehensive diagnosis of SF6 gas decomposition products, and gives specific solutions, which will provide very useful experience for subsequent GIS operation and maintenance.
Reconstruction algorithm for a novel Cherenkov scintillation detector
Authors: Luo Wentai , Liu Qian , Zheng Yangheng , Wang Zhe , Chen Shaomin 
Published: February 2023

Abstract
For future MeV-scale neutrino experiments, a Cherenkov
scintillation detector, CSD, is of particular interest for its
capability to reconstruct both energy and direction for charged
particles. A type of new target material, slow liquid scintillator,
SlowLS, which can be used to separate Cherenkov and scintillation
lights, is one of the options for the neutrino detectors. A
multi-hundred ton spherical CSD is simulated using a Geant4-based
Monte Carlo software, which handles the detailed the micro processes
of MeV particles and optical photons and the functions for
photomultiplier, PMT, and readout electronics. Twelve SlowLS
samples are simulated and studied to cover a wide range of
scintillation light yields and scintillation emission time
constants. Based on the detailed knowledge of the signal processes,
simplified functions are constructed to predict the charge and time
signals on the PMTs to fulfill an efficient reconstruction for the
energy, direction, and position of charged particles. The
performance of the SlowLS reconstruction, including the resulting
energy, angular, and position resolution, and particle
identification capability, is presented for these samples. The
dependence of the performance on the scintillation light yield and
emission time constants is understood. This study will be a
guideline for future MeV-scale neutrino CSD design and SlowLS
development for the interested physics goals.
GPU-accelerated CZT detector simulation with charge build-up effects
Authors: Delcourt A. , Montémont G. 
Published: February 2023

Abstract
The simulation of semiconductor detectors is a key tool for
developping and studying their behavior. In general, simulations of
CZT detectors assume the crystal to be perfect, meaning that its
properties are uniform. However, structural defects appearing in the
crystal during growth modify these properties. Moreover, dynamic
phenomena like polarization can appear. In particular, the electric
field inside the detector can be disturbed by bulk charges, which
creates uncertainties on measurement of incident photon energy and
on interaction position estimated by sub-pixel positioning.

One of the main issues of a simulation considering these
non-uniformities is its complexity, especially if multiple or
evolving electric field distributions have to be considered. Hence,
we have developed a model accepting electric field modifications and
allowing to observe quickly the detector's response modifications
with the electric field. We leveraged GPU to address such
computational burden. Indeed, we can afford to consider more complex
simulations as the computation time is reduced.

In this study, we introduced different types of spatial defects
which may be found in real CZT crystals (point-like, planar, etc.)
to observe quickly and easily their impact on the detector's
measurement, on both spatial and spectral response.
Egg white improves the biological properties of an alginate-methylcellulose bioink for 3D bioprinting of volumetric bone constructs
Authors: Liu Suihong , Kilian David , Ahlfeld Tilman , Hu Qingxi , Gelinsky Michael 
Published: February 2023

Abstract
Three-dimensional microextrusion bioprinting has attracted great interest for fabrication of hierarchically structured, functional tissue substitutes with spatially defined cell distribution. Despite considerable progress, several significant limitations remain such as a lack of suitable bioinks which combine favorable cell response with high shape fidelity. Therefore, in this work a novel bioink of alginate-methylcellulose (AlgMC) blend functionalized with egg white (EW) was developed with the aim of solving this limitation. In this regard, a stepwise strategy was proposed to improve and examine the cell response in low-viscosity alginate inks (3%, w/v) with different EW concentrations, and in high-viscosity inks after gradual methylcellulose addition for enhancing printability. The rheological properties and printability of these cell-responsive bioinks were characterized to obtain an optimized formulation eliciting balanced physicochemical and biological properties for fabrication of volumetric scaffolds. The bioprinted AlgMC + EW constructs exhibited excellent shape fidelity while encapsulated human mesenchymal stem cells showed high post-printing viability as well as adhesion and spreading within the matrix. In a proof-of-concept experiment, the impact of these EW-mediated effects on osteogenesis of bioprinted primary human pre-osteoblasts (hOB) was evaluated. Results confirmed a high viability of hOB (93.7 ± 0.15%) post-fabrication in an EW-supported AlgMC bioink allowing cell adhesion, proliferation and migration. EW even promoted the expression of osteogenic genes, coding for bone sialoprotein (integrin binding sialoprotein/bone sialoprotein precursor (IBSP)) and osteocalcin (BGLAP) on mRNA level. To demonstrate the suitability of the novel ink for future fabrication of multi-zonal bone substitutes, AlgMC + EW was successfully co-printed together with a pasty calcium phosphate bone cement biomaterial ink to achieve a partly mineralized 3D volumetric environment with good cell viability and spreading. Along with the EW-mediated positive effects within bioprinted AlgMC-based scaffolds, this highlighted the promising potential of this novel ink for biofabrication of bone tissue substitutes in clinically relevant dimensions.
Effect of process parameters on the strength of ABS based FDM prototypes: novel machine learning based hybrid optimization technique
Authors: Ramiah Karthikeyan , Pandian Pitchipoo 
Published: February 2023

Abstract
Even though the prototypes built using Fused Deposition Modelling (FDM) process are found to exhibit good mechanical properties, there are ample scopes to improve them by means of selecting suitable process parameters. Since the FDM process involves more number of process parameters, the selection of optimized values becomes more complex and time consuming. Further, the complex correlation among the process parameters makes the selection process more tedious and involves more numerical steps. Hence it has been intended to perform a physical experiment with the known parameters to determine the performance measures of the built prototypes. With this moto, in this work the effect of the 3D printing parameters is studied and the optimal combination of these parameters are determined. The Taguchi L18 orthogonal array based values are assigned for process parameters and the physical prototypes are fabricated. These specimens are tested in the laboratory and the observations are analyzed. It has been found that the process parameters under consideration have a good effect on the strength of the built models. Out of the 18 experiments, better experiments are selected by using a Machine Learning (ML) approach namely decision tree (DT). Finally, the best combination of parameters has been determined by using a novel hybrid multi objective technique which is formulated by integrating Fuzzy Analytical Hierarchy Process (FAHP) and Complex Proportional Assessment of alternatives (COPRAS) techniques. Then a confirmation experiment has also been done to confirm the optimal combination of parameters. The influence of the parameters is also found by using ANOVA (Analysis of Variance) method. The final results show that the raster angle influences the outputs more while the raster to raster gap has the least influence.