bluuebunny/crossref_metadata_2025_split huggingface dataset:
Emotion classification for short texts: an improved multi-label method
Authors: Liu Xuan , Shi Tianyi , Zhou Guohui , Liu Mingzhe , Yin Zhengtong , Yin Lirong , Zheng Wenfeng 
Published: June 2023

AbstractThe process of computationally identifying and categorizing opinions expressed in a piece of text is of great importance to support better understanding and services to online users in the digital environment. However, accurate and fast multi-label automatic classification is still insufficient. By considering not only individual in-sentence features but also the features in the adjacent sentences and the full text of the tweet, this study adjusted the Multi-label K-Nearest Neighbors (MLkNN) classifier to allow iterative corrections of the multi-label emotion classification. It applies the new method to improve both the accuracy and speed of emotion classification for short texts on Twitter. By carrying out three groups of experiments on the Twitter corpus, this study compares the performance of the base classifier of MLkNN, the sample-based MLkNN (S-MLkNN), and the label-based MLkNN (L-MLkNN). The results show that the improved MLkNN algorithm can effectively improve the accuracy of emotion classification of short texts, especially when the value of K in the MLkNN base classifier is 8, and the value of α is 0.7, and the improved L-MLkNN algorithm outperforms the other methods in the overall performance and the recall rate reaches 0.8019. This study attempts to obtain an efficient classifier with smaller training samples and lower training costs for sentiment analysis. It is suggested that future studies should pay more attention to balancing the efficiency of the model with smaller training sample sizes and the completeness of the model to cover various scenarios.
A quartz crystal microbalance (QCM)-based easy setup device for real-time mass change detection under high-power RF plasma
Authors: Senturk Fatih , Kocum Ismail Cengiz , Seyitoglu Melek Ilayda , Aksan Eda Sevval 
Published: June 2023

Sensing technologies serve a crucial role in monitoring and testing surface properties in biosensors, thin films, and many other industries. Plasma treatments are routinely used in most of these technologies to modify the surfaces of materials. However, due to the high radio frequency (RF) noise in plasma processes, real-time surface tracking is still rather difficult. In this study, we aim to construct an easy-to-set up mass change detection system capable of operating under RF plasma conditions. For this purpose, we have presented a novel technique that utilizes the quartz crystal microbalance sensor to detect mass changes in different plasma environments. The constructed device was then tested under 13.56 MHz, 100 W plasma atmosphere. The results showed that the resonance frequency of a crystal was successfully measured with 1.0 Hz resolution under the impact of plasma-induced high power of RF noise. Moreover, as a preliminary study, we used ethylenediamine (EDA) to track changes in resonance frequency under plasma conditions and observed noise-free signals in frequency–voltage curves. Furthermore, the system’s sensitivity was found to be 3.8 ng/Hz, with a test molecule (EDA) deposition of about 380 ng in the RF plasma atmosphere. Overall, this study focused on creating a relatively new approach for detecting the real-time mass change in a strong RF environment, which we believe could be an improved and easy-to-set up technique for plasma-based processes such as surface coating, etching, and activation.
The melatonin system is expressed in the ovine uterus: effect of the day of the oestrous cycle and undernutrition
Authors: Sosa C. , Laurenzana E. , de Brun V. , Meikle A. , Abecia J. A. 
Published: June 2023

Context Melatonin influences female reproduction, but expression of the melatonin system has not been characterised in the ovine uterus. Aims We aimed to determine whether synthesising enzymes (arylalkylamine N-acetyltransferase (AANAT) and N-acetylserotonin-O-methyltransferase (ASMT)), melatonin receptors 1 and 2 (MT1 and MT2), and catabolising enzymes (myeloperoxidase (MPO) and indoleamine 2,3-dioxygenase 1 and 2 (IDO1 and 2)), are expressed in the ovine uterus, and if they are influenced by the oestrous cycle (Experiment 1) or by undernutrition (Experiment 2). Methods In Experiment 1, gene and protein expression was determined in sheep endometrium samples collected on days 0 (oestrus), 5, 10 and 14 of the oestrous cycle. In Experiment 2, we studied uterine samples from ewes fed either 1.5 or 0.5 times their maintenance requirements. Key results We have demonstrated the expression of AANAT and ASMT in the endometrium of sheep. AANAT and ASMT transcripts, and AANAT protein were more elevated at day 10, then decreased to day 14. A similar pattern was observed for MT2, IDO1, and MPO mRNA, which suggests that the endometrial melatonin system might be influenced by ovarian steroid hormones. Undernutrition increased AANAT mRNA expression, but seemed to decrease its protein expression, and increased MT2 and IDO2 transcripts, whereas ASMT expression was unaffected. Conclusions The melatonin system is expressed in the ovine uterus and is affected by oestrous cycle and undernutrition. Implications The results help explain the adverse effects of undernutrition on reproduction in sheep, and the success of exogenous melatonin treatments in improving reproductive outcomes.
“What’s your name?”
Authors: Park Yujong 
Published: June 2023

Abstract
This study investigates the role of identification and frame mismatch in Korean telephone call openings using conversation analysis on a series of problematic telephone calls made to the emergency center from a Korean governor (Moon-Soo, Kim) in 2011. Close examination of the problematic interaction indicates how delivering emergency care as a public service may evolve into a dispute in the Korean cultural context of kwandungsengmyeng (“identifying oneself by official status”). A mismatch between frames (Tracy, 1997) can be identified when the governor asks for the name of the answerer instead of presenting the reason for the call. Comparable examples from Korean conversational telephone calls are noted in which the answerer provides their name in the opening moments of the interaction, thereby depicting a strong expectation for identification and recognition in Korean openings. This paper argues that the governor’s actions can be explained by a mismatch between the public and private frames in relation to identification practices. The study findings may highlight the important role that identification and recognition plays in Korean culture and suggest methods through which future problematic emergency calls can be prevented.
A role of functional morphemes in Korean categorial grammars
Authors: Park Jungyeul , Kim Mija 
Published: June 2023

AbstractThis study discusses a role of functional morphemes in Korean categorial grammars, providing the reviews of various types of Korean categorial grammars that have never been conducted so far, notwithstanding many previous studies on them. Previous work has presented different morphological segmentation because of Korean’s agglutinative characteristics, implying that Korean words may contain a different segmentation sequence of morphemes. We focus on functional morphemes in Korean categorial grammars, which have been explored in different ways by previous work. We present detailed analyses for postpositions and verbal endings in categorial grammars, insisting that the functional morphemes in Korean should be treated as part of a word, with the result that their categories do not require to be assigned individually in a syntactic level, and also that it would be more efficient to assign the syntactic categories on the fully inflected lexical word derived by the lexical rule of the morphological processes in the lexicon.
Improvement of predictive ability of self-association model to segregation of liquid Zn−Bi alloys
Authors: Ding Guo-Hua , Liang Li-Meng 
Published: June 2023

Abstract
The self-association model is an effective theoretical method for determining the thermodynamic parameters of immiscible molten binary alloys. However, two important parameters (the ratios of numbers of two atoms in the cluster n and the interchange energy W) in the model had confusing temperature dependences, which prevented the statistical mechanical model from accurately predicting the physical and chemical properties at various temperatures. The ratios of the two atoms in the cluster and the interchange energy were proposed in this study to be linear with temperature, respectively, to analyze the segregation of liquid Zn–Bi alloys. The hypothesis about two key parameters is helpful to predict the segregating nature of liquid Zn–Bi alloys, as evidenced by the good accordance of the predicted thermophysical properties (activity, free energy of mixing, miscibility gap, entropy of mixing, partial molar entropy, and concentration fluctuation) with the existing experimental data.
Numerical simulation of workpiece temperature field during radial shear rolling of biomedical Co-Cr-Mo alloy
Authors: Kin T Yu , Gamin Yu V , Galkin S P , Skugorev A V 
Published: June 2023

Abstract
This paper describes the analysis of temperature field of workpiece during radial shear rolling (RSR) of biomedical Co-28Cr-6Mo alloy. In the process of hot metal forming, the temperature distribution in the deformation zone has a significant influence on the quality and properties of the final product. In some cases, the deformation within a narrow temperature range is required to provide the desired properties. To obtain data on change in temperature, the computer simulation of RSR was carried out using finite element method. According to simulation results, the temperature distribution of bar depending on the variable process parameters such as temperature of workpiece, rotary velocity of rolls, elongation ratio, diameter of workpiece, and temperature of tool was evaluated. It was determined that the most significant parameters influencing on the distribution of the temperature field are the workpiece heating temperature and the rolling speed. The RSR process makes it possible to effectively manage the distribution of temperature field due to selecting technological parameters and, thereby, control the formation of the alloy structure. The data obtained can be useful for developing the modes of RSR of Co–Cr–Mo alloy.
Frequency dependent impedance response analysis of nanocrystalline ZnO chemiresistors
Authors: P V Abhijith , Tom Abin , Urs Kusuma , Prajapati K N , S Sajana , Mitra J , Jaiswal-Nagar Deepshikha , Kamble Vinayak B 
Published: June 2023

Abstract
ZnO is a widely studied gas sensor material and is used in many commercial sensor devices. However, selectivity towards any particular gas remains an issue due to lack of complete knowledge of the gas sensing mechanism of oxide surfaces. In this paper, we have studied the frequency dependent gas sensor response of ZnO nanoparticles of a diameter of nearly 30 nm. A small rise of synthesis temperature from 85 °C to 95 °C in the solvothermal process, shows coarsening by joining and thereby distinct loss of grain boundaries as seen from transmission electron micrographs. This leads to a substantial reduction in impedance, Z (GΩ to MΩ), and rises in resonance frequency f
res (from 1 to 10 Hz) at room temperature. From temperature dependent studies it is observed that the grain boundaries show a Correlated Barrier Hopping mechanism of transport and the hopping range in the grain boundary region is typically 1 nm with a hopping energy of 153 meV. On the other hand, within the grain, it shows a change of transport type from low temperature tunneling to beyond 300 °C as polaron hopping. The presence of disorder (defects) as the hopping sites. The temperature dependence of f
res agrees with different predicted oxygen chemisorbed species between 200 °C to 400 °C. As opposed to the traditional DC response, the AC response in the imaginary part of (Z″) shows gas specific resonance frequencies for each gas, such as NO2, ethanol, and H2. Among the two reducing gases, ethanol and hydrogen; the former shows good dependence on concentration in Z″ whereas the latter shows a good response in f
res as well as capacitance. Thus, the results of frequency dependent response allow us to investigate greater details of the gas sensing mechanism in ZnO, which may be exploited for selective gas sensing.
Calibration of a three-state cell death model for cardiomyocytes and its application in radiofrequency ablation
Authors: Petras Argyrios , Leoni Massimiliano , Guerra Jose M , Gerardo-Giorda Luca 
Published: June 2023

Abstract

Objective. Thermal cellular injury follows complex dynamics and subcellular processes can heal the inflicted damage if insufficient heat is administered during the procedure. This work aims to the identification of irreversible cardiac tissue damage for predicting the success of thermal treatments. Approach. Several approaches exist in the literature, but they are unable to capture the healing process and the variable energy absorption rate that several cells display. Moreover, none of the existing models is calibrated for cardiomyocytes. We consider a three-state cell death model capable of capturing the reversible damage of a cell, we modify it to include a variable energy absorption rate and we calibrate it for cardiac myocytes. Main results. We show how the thermal damage predicted by the model response is in accordance with available data in the literature on myocytes for different temperature distributions. When coupled with a computational model of radiofrequency catheter ablation, the model predicts lesions in agreement with experimental measurements. We also present additional experiments (repeated ablations and catheter movement) to further illustrate the potential of the model. Significance. We calibrated a three-state cell death model to provide physiological results for cardiac myocytes. The model can be coupled with ablation models and reliably predict lesion sizes comparable to experimental measurements. Such approach is robust for repeated ablations and dynamic catheter-cardiac wall interaction, and allows for tissue remodelling in the predicted damaged area, leading to more accurate in-silico predictions of ablation outcomes.
Experimental study on the spatial structures of filament during ELM crash in ELMy H-mode discharge on EAST
Authors: Li(李邦) Bang , Ming(明廷凤) Tingfeng , Li(李彦龙) Yanlong , Zhuang(庄清) Qing , Shi(石奇奇) Qiqi , Deng(邓荣婧) Rongjing , Hou(侯善伟) Shanwei , Long(龙飞飞) Feifei , Wu(邬潇河) Xiaohe , Liu(刘晓菊) Xiaoju , Zeng(曾龙) Long , Xia(夏天阳) Tianyang , Gao(高翔) Xiang , Li(李国强) GuoQiang 
Published: June 2023

Abstract
A high-speed vacuum ultraviolet imaging (VUVI) system with both high temporal and spatial resolutions in the Experimental Advanced Superconducting Tokamak has been developed for the study of the edge/pedestal plasma. Edge localized mode (ELM)-induced filamentary structures have been successfully visualized by the VUVI system during the ELMy high confinement mode (H-mode) discharges. The poloidal mode spacing and the pitch angle are employed to quantitatively characterize the spatial structure of the observed filamentary structures in the imaging data. The poloidal mode spacing of the filamentary structure is found to be proportional to the plasma current. The dominant toroidal mode number decreases as the plasma current ramps up. In addition, the temporal evolution of the pitch angle during an ELM crash was quantitatively investigated. No significant change in the pitch angle is observed during an ELM crash. The dominant toroidal mode number gradually decreases in the rise phase and increases in the decay phase in one ELM crash, respectively.
Plasma-relevant fast electron impact study of difluoromethane
Authors: Li Heng-Hui , Wang Shu-Xing , Zhu Jian-Hui , Nie Zhi-Wei , Chen Jin-Feng , Wang Li-Han , Ma Wan-Lu , Zhu Lin-Fan 
Published: June 2023

Abstract
Difluoromethane (

C

H
2

F
2

) is a commonly used etching gas in manufacturing very-large-scale integrated circuits as the fluorine source. Electron impact excitation cross sections for

C

H
2

F
2

are important input data for modeling the reactive etching plasmas. In this work, we present the experimental generalized oscillator strengths for the

3
s
←
2

b
2

,

1
1

A
2

←
X

1

A
1

, and

3
p
←
2

b
2

transitions on the absolute scale. The measurement was realized by employing the crossed-beam based relative flow technique at an angle-resolved electron energy loss spectrometer, operating at an incident energy of 1500 eV and a resolution of 80 meV. The dipole-forbidden transition

1
1

A
2

←
X

1

A
1

at around 9.7 eV is identified for the first time. The measured data are fitted with the well-known Lassettre formula to yield analytical expressions and optical oscillator strengths at

K

2

=
0

for dipole-allowed transitions. The analytical expressions enable integrations over momentum transfer to obtain the Born integral cross sections for electron impact excitations from the threshold to 5000 eV. The integral cross sections for dipole-allowed transitions are scaled to a more reliable level by using the BE-scaling method. The experimental data can benchmark theoretical calculations and supplement the molecular database for plasma modelers.
Theory of critical phenomena with long-range temporal interaction
Authors: Zeng Shaolong , Zhong Fan 
Published: June 2023

Abstract
We systematically develop theories of critical phenomena with a prior formed memory of a power-law decaying long-range temporal interaction parameterized by a constant θ > 0 for a space dimension d both below and above an upper critical dimension d

c
= 6 − 2/θ. We first provide more evidences to confirm the previous theory that a dimensional constant

d

t

is demanded to rectify a hyperscaling law, to produce correct unique mean-field critical exponents via an effective spatial dimension originating from temporal dimension, and to transform the time and change the dynamic critical exponent. Next, for d < d

c
, we develop a renormalization-group theory by employing the momentum-shell technique to the leading nontrivial order explicitly and to higher orders formally in ϵ = d

c
− d but to zero order in ε = 1 − θ and find that more scaling laws besides the hyperscaling law are broken due to the breaking of the fluctuation-dissipation theorem. Moreover, because dynamics and statics are intimately interwoven, even the static critical exponents involve contributions from the dynamics and hence do not restore the short-range exponents even for θ = 1 and the crossover between the short-range and long-range fixed points is discontinuous contrary to the case of long-range spatial interaction. In addition, a new scaling law relating the dynamic critical exponent with the static ones emerges, indicating that the dynamic critical exponent is not independent. However, once

d

t

is displaced by a series of ϵ and ε such that most values of the critical exponents are changed, all scaling laws are saved again, even though the fluctuation-dissipation theorem keeps violating. Then, for d ≥ d

c
, we develop an effective-dimension theory by carefully discriminating the corrections of both temporal and spatial dimensions and find three different regions. For d ≥ d

c0 = 4, the upper critical dimension of the usual short-range theory, the usual Landau mean-field theory with fluctuations confined to the effective-dimension equal to d

c0 correctly describe the critical phenomena with memory, while for d

c
< d ≤ 4, there exist new universality classes whose critical exponents depend only on the space dimension but not at all on θ. Yet another region consists of d = d

c
only and the previous theory is retrieved. All these results show that the dimensional constant

d

t

is the fundamental ingredient of the theories for critical phenomena with memory. However, its value continuously varies with the space dimension and vanishes exactly at d = 4, reflecting the variation of the amount of the temporal dimension that is transferred to the spatial one with the strength of fluctuations. Moreover, special finite-size scaling appears ubiquitously except for d = d

c0.
GaAs0.95P0.05 single junction solar cell with InP QW in p-i-n region for sub-bandgap photon absorption
Authors: Verma Manish , Routray Soumya R , Sahoo Girija Shanker , Mishra Guru Prasad 
Published: June 2023

Abstract
To improve the the absorption of the incoming light spectrum in the cell, the bandgap modulation is performed in the cell. such a cell is designed here, with the help of quantum well region of InP material and GaInP barrier region. The bandgap engineered GaAsP solar cell having the bandgap of 1.48 eV is utilized along with the InP quantum well material with bandgap energy of 1.35 eV. The quantum well absorbs the lower bandgap photon energy, which improves the photo carriers. A type-A bandgap structure is formed in the quantum well region, which results in enhanced utilization of lower bandgap photon energy. The Analysis show the significant absorption of the incoming light spectrum, which reflects in the improvement of the current density. The trade-off between the short circuit current and open circuit voltage, which happens due to the bandgap modulation, leads to the 20% drop in the open circuit voltage. But, due to larger improvement of 31.06% in the short circuit current leads to the improvement of 4.75% in overall efficiency of the cell. The quantum efficiency of the cell is well above 90%. The bandgap modulated quantum well solar cell achieves 25.76% efficiency for the formation of the p-i-n region. AM1.5 G environment under 1-Sun spectrum is used to illuminate the designed solar cell.
Computational study on the effect of aspect ratio on Young’s modulus of boron nitride nanosheets
Authors: Kumari Nisha , Sarangi Saroj Kumar 
Published: June 2023

Abstract
The effect of the aspect ratio on Young’s modulus (E) of boron nitride nanosheets (BNNS) was evaluated using molecular dynamics simulation techniques employing the Tersoff potential field. The aspect ratio (L/B) of BNNS may influence the elastic properties; therefore, the values are varied from 2 to 12. Our results revealed that the E of BNNS decreased with an increase in the aspect ratio up to 9 and then became stable in both the armchair and zigzag directions. It is anticipated that the result will provide a beneficial understanding of the elastic properties of BNNS, which can aid in the design and implementation of structured and tailored NEMS devices, transistors, sensors, lightweight materials, and automotive sectors.