bluuebunny/crossref_metadata_2025_split huggingface dataset:
Confirmation of a Sub-Saturn-size Transiting Exoplanet Orbiting a G Dwarf: TOI-1194 b and a Very Low Mass Companion Star: TOI-1251 B from TESS
Authors: Wang Jia-Qi , Jiang Xiao-Jun , Zheng Jie , Kellermann Hanna , Riffeser Arno , Wang Liang , Collins Karen A. , Bieryla Allyson , Buchhave Lars A. , Howell Steve B. , Furlan Elise , Girardin Eric , Gregorio Joao , Jensen Eric , Murgas Felipe , Yilmaz Mesut , Quinn Sam , Gao Xing , Zhou Ruo-Yu , Grupp Frank , Wang Hui-Juan 
Published: October 2023

Abstract
We report the confirmation of a sub-Saturn-size exoplanet, TOI-1194 b, with a mass of about

0.456

−
0.051

+
0.055

M
J, and a very low mass companion star with a mass of about 96.5 ± 1.5 M
J, TOI-1251 B. Exoplanet candidates provided by the Transiting Exoplanet Survey Satellite (TESS) are suitable for further follow-up observations by ground-based telescopes with small and medium apertures. The analysis is performed based on data from several telescopes worldwide, including telescopes in the Sino-German multiband photometric campaign, which aimed at confirming TESS Objects of Interest (TOIs) using ground-based small-aperture and medium-aperture telescopes, especially for long-period targets. TOI-1194 b is confirmed based on the consistent periodic transit depths from the multiband photometric data. We measure an orbital period of 2.310644 ± 0.000001 days, the radius is

0.767

−
0.041

+
0.045

R
J and the amplitude of the RV curve is

69.4

−
7.3

+
7.9

m s−1. TOI-1251 B is confirmed based on the multiband photometric and high-resolution spectroscopic data, whose orbital period is

5.963054

−
0.000001

+
0.000002

days, radius is

0.947

−
0.033

+
0.035

R
J and amplitude of the RV curve is

9849

−
40

+
42

m s−1.
Relations between the Fractional Variation of the Ionizing Continuum and C iv Broad Absorption Lines with Different Ionization Levels
Authors: Lin Ying-Ru , Pan Cai-Juan , Lu Wei-Jian 
Published: October 2023

Abstract
This paper explores the correlation between the fractional variation of the ionizing continuum and C iv broad absorption lines (BALs) with different ionization levels. Our results reveal anti-correlations between fractional variation of the continuum and fractional equivalency width (EW) variation of the C iv BALs without Al iii BAL/mini-BALs at corresponding velocities, providing evidence for the widespread influence of the ionizing continuum variability on the variation of HiBALs. Conversely, for C iv BALs accompanied by Al iii BAL/mini-BALs (LoBAL groups), no significant correction is detected. The absence of such a correlation does not rule out the possibility that variations in these low-ionization lines are caused by ionizing continuum variability, but rather suggests the influence of BAL saturation to some extent. This saturation effect is reflected in the distribution of the fractional EW variation, where the C iv BAL group accompanied by Al iii BAL has a smaller standard deviation for the best-fitting Gaussian component than the two BAL groups without Al iii BAL. However, the distribution of fractional variation of their continuum does not show any significant difference. Besides the saturation influence, another potential explanation for the lack of correlations in the LoBAL groups may be the effects of other variability mechanisms besides the ionization change, such as clouds transiting across the line of sight.
Quantitative Analysis of Seeing with Height and Time at Muztagh-Ata Site Based on ERA5 Database
Authors: Wu Xiao-Qi , Xiao Cun-Ying , Esamdin Ali , Xu Jing , Wang Ze-Wei , Xiao Luo 
Published: October 2023

Abstract
Seeing is an important index to evaluate the quality of an astronomical site. To estimate seeing at the Muztagh-Ata site with height and time quantitatively, the European Centre for Medium-Range Weather Forecasts reanalysis database (ERA5) is used. Seeing calculated from ERA5 is compared consistently with the Differential Image Motion Monitor seeing at the height of 12 m. Results show that seeing decays exponentially with height at the Muztagh-Ata site. Seeing decays the fastest in fall in 2021 and most slowly with height in summer. The seeing condition is better in fall than in summer. The median value of seeing at 12 m is 0.89 arcsec, the maximum value is 1.21 arcsec in August and the minimum is 0.66 arcsec in October. The median value of seeing at 12 m is 0.72 arcsec in the nighttime and 1.08 arcsec in the daytime. Seeing is a combination of annual and about biannual variations with the same phase as temperature and wind speed indicating that seeing variation with time is influenced by temperature and wind speed. The Richardson number Ri is used to analyze the atmospheric stability and the variations of seeing are consistent with Ri between layers. These quantitative results can provide an important reference for a telescopic observation strategy.
Monitoring of the offset between UTC and its prediction broadcast by the GNSS
Authors: Defraigne P , Pinat E , Petit G , Meynadier F 
Published: October 2023

Abstract
We present a new approach to report, in the section 4 of International Bureau of Weights and Measures Circular T, daily values of the offset between Coordinated Universal Time (UTC) and the predictions of UTC broadcast by the Global Navigation Satellite Systems (GNSS), this quantity we name bUTCGNSS. In this approach, the determination of UTC-bUTCGNSS is based on data collected by several multi-GNSS stations in selected time laboratories worldwide. Test computations over a 7-month period from July 2022 to January 2023 show that the offset between UTC and bUTCGNSS was between 30 and 50 ns for GLONASS, between 5 and 20 ns for BeiDou, and between −5 and +5 ns for GPS and Galileo. We derive the uncertainty on the reported values, which is 4.1 ns for BeiDou and GPS, 3.7 ns for Galileo and 6.6 ns for GLONASS and show that, over the test period, the reported values of UTC-bUTCGNSS and the solutions obtained from each multi-GNSS station are all consistent within the 1-sigma uncertainties.
Distally-referred surface electrical nerve stimulation (DR-SENS) for haptic feedback
Authors: Mesias Luis , Gormez M Akif , Tyler Dustin J , Makowski Nathaniel S , Graczyk Emily L , Fu Michael J 
Published: October 2023

Abstract

Objective. This study’s objective is to understand distally-referred surface electrical nerve stimulation (DR-SENS) and evaluates the effects of electrode placement, polarity, and stimulation intensity on the location of elicited sensations in non-disabled individuals. Approach. A two-phased human experiment was used to characterize DR-SENS. In Experiment One, we explored 182 electrode combinations to identify a subset of electrode position combinations that would be most likely to elicit distally-referred sensations isolated to the index finger without discomfort. In Experiment Two, we further examined this subset of electrode combinations to determine the effect of stimulation intensity and electrode position on perceived sensation location. Stimulation thresholds were evaluated using parameter estimation by sequential testing and sensation locations were characterized using psychometric intensity tests. Main Results. We found that electrode positions distal to the wrist can consistently evoke distally referred sensations with no significant polarity dependency. The finger-palm combination had the most occurrences of distal sensations, and the different variations of this combination did not have a significant effect on sensation location. Increasing stimulation intensity significantly expanded the area of the sensation, moved the most distal sensation distally, and moved the vertical centroid proximally. Also, a large anodic-leading electrode at the elbow mitigated all sensation at the anodic-leading electrode site while using symmetric stimulation waveforms. Furthermore, this study showed that the most intense sensation for a given percept can be distally referred. Lastly, for each participant, at least one of the finger-palm combinations evaluated in this study worked at both perception threshold and maximum comfortable stimulation intensities. Significance. These findings show that a non-invasive surface electrical stimulation charge modulated haptic interface can be used to elicit distally-referred sensations on non-disabled users. Furthermore, these results inform the design of novel haptic interfaces and other applications of surface electrical stimulation based haptic feedback on electrodes positioned distally from the wrist.
Crystallographic Study of Grain Refinement in Ni Alloys with Ni-RE Intermetallics
Authors: Zhong Zengyi , Wu Xianggang , Zha Dong , Zhang Xumin , Luo Lan 
Published: October 2023

Abstract
Rare earth-doped nickel (Ni-RE) alloys are very attractive for the neutron shielding application for excellent neutron absorption and good mechanical behavior. Ni-RE intermetallics are important for their precipitation reinforcement in Ni alloys. In this work, Ni-RE intermetallics have been founded to be Ni grain refiners, which has been proved both by nucleation crystallography analysis and experiments. Ni-RE intermetallics could work as heterogeneous nucleation well, either different in atomic structures (for example, Ni17RE2, Ni5RE, Ni7RE2, Ni3RE, Ni2RE having matching orientation relationships as (111)Ni // (0004)Ni17Gd2 with

[
1

1
¯

0
]

Ni

/
/

[
01

1
¯

0
]

Ni17Gd2

, (111)Ni // (0002)Ni5Gd with

[
1

1
¯

0
]

Ni

/
/

[
01

1
¯

0
]

Ni

5Gd

, (111)Ni // (00018)Ni7Gd2 with

[
1

1
¯

0
]

Ni

/
/

[
01

1
¯

0
]

Ni7Gd2

, (111)Ni // (00012)Ni3Gd with

[
1

1
¯

0
]

Ni

/
/

[
01

1
¯

0
]

Ni3Gd

, (111)Ni // (222)Ni2Gd with

[
1

1
¯

0
]

Ni

/
/

[
1

1
¯

0
]

Ni2Gd

) or different in rare earth element (for example, (111)Ni // (0002)Ni5RE with

[
1

1
¯

0
]

Ni

/
/

[
01

1
¯

0
]

Ni5RE

is general matching orientation relationships (ORs) of Ni5RE (RE = Sc, Y, La ~ Lu) for Ni grains). When RE dopant mass fraction is 1 wt%, the grain size is reduced from ~50 μm to 15 μm, and the refinement effect reaches the best. The work proposes Ni-RE intermetallics as good heterogeneous nuclei for Ni grains with an atomic level understanding and provides theoretical guidance for high-strength nickel alloy design.
Denoising Method of Hydro-turbine Vibration Signal Based on Joint WOA-VMD and Improved Wavelet Threshold
Authors: Bi Lei , Yu Xiao , Jiang Dongrong , Peng Hailong , Hu Feng , Shi Keke , Liang Ke , Ye Xu 
Published: October 2023

Abstract
Comparing to the untreated signal, the traditional wavelet thresholding functions decomposed and reconstructed signal has a constant error. Variational mode decomposition (VMD) sets different penalty factor α and mode decomposition layer K during signal processing will lead to the final noise reduction results. Therefore, this paper introduces the Whale Optimization Algorithm (WOA)-VMD and improved wavelet threshold denoising for oscillation signal disposal of hydraulic turbine. Firstly, WOA was used to optimize the VMD decomposition parameters α and K with the local minimum of envelope entropy as the objective function, and the optimal noise reduction effect was obtained. Secondly, the vibration signals with noise were deconstructed into K intrinsic mode functions (IMF) after VMD, and their thresholds were set. Furthermore, the IMF component below the threshold value is denoised again by improving the wavelet threshold value. Finally, the IMF reorganization after de-noising is used to obtain the final noise reduction signal. Through the verification analysis, the combination of WOA-VMD and improved wavelet threshold function denoising method could effectively filter the noise in the signal and significantly improve the noise reduction effect of the hydraulic turbine vibration signal.
Study on Chloride Diffusion Behaviors of Recycled Concrete of Random Aggregates
Authors: Yao Zeliang , Zhang Yang , Linghu Tianjing , Qi Yalun , Lang Maosen , Dang Faning 
Published: October 2023

Abstract
Based on the chloride ions (Cl−) diffusion model and aggregate grading theory, PYTHON and COMSOL are used to construct a mesoscopic model of recycled concrete random polygon aggregate and verify its validity in combination with existing experimental results. The diffusion law of Cl− in recycled concrete and the law of influence of critical factors on the Cl− erosion resistance are studied by calculating and analyzing the Cl− erosion resistance of recycled concrete under different working conditions such as the diffusivity of new and old mortar, the thickness of old mortar and the replacement ratio of recycled aggregate. The results show that the simulation results agree well with the test results, and the method can better reproduce the Cl− diffusion process inside the recycled concrete. There are discontinuous features based on the relationship curves between the Cl− concentration and the depth of the recycled concrete. The Cl− concentration inside the concrete gradually increases with the increase of the diffusion rate of the old and new mortars. The resistance behavior of the recycled concrete to Cl− attack decreases with the increase of the thickness of the old mortar.
Regional Ionospheric Frequency Domain Characterization and Short-term Forecasting Methods
Authors: Kang Lihua , Wang Shuai , Cong Dianwei , Yin Yunxia , Li Lifeng 
Published: October 2023

Abstract
Total electron content (TEC) is an important characteristic parameter of the ionosphere, which has a great impact on applications such as navigation error correction. The paper addresses the need for short- and medium-term forecasting of regional ionospheric TEC. Firstly, we analyze the frequency domain characteristics of ionospheric TEC, and analyze the data in the frequency domain based on the characteristics of trend, periodicity and abruptness of ionospheric TEC changes influenced by solar activity, combined with the Prophet algorithm. Then, according to its frequency domain characteristics, Prophet is used to achieve hour-by-hour prediction. The computer modeling results show that the RMSE of the 7-day forecast is better than 1.262 TECU during the geomagnetically quiet period, and the method is suitable for the short- and medium-term forecasting of ionospheric TEC with good forecast accuracy and time efficiency.
A Stochastic Algorithm Based on Cable-stayed Bridges Model for Stochastic Optimization in Machine Learning
Authors: Tai Linguang , Shan Feng , Wang Ruibin , Wu Yulun , Li Xinjian , Yao Qinmin , Yan Gang , Ouyang Chen , Yuan Gonglin 
Published: October 2023

Abstract
This paper takes the economic cost of road design as the objective function to study the optimization of road construction cost. It is well-know that stochastic optimization is widely regarded as one of the most important and difficult problems in optimization and machine learning. It is noted that various methods for stochastic optimization problems are sensitive to the learning rate (step-size), which is usually underestimated. Therefore, two new stochastic conjugate gradient algorithms are proposed in this paper. We adapt two modified line search techniques to set the stochastic optimization. One uses the modified Armijo line search technology, the other uses the modified weak Wolfe-Powell line search technology. The new search direction has the properties of sufficient descent and trust region, which makes the establishment of global convergence of the two algorithms very understandable and clear. Finally, numerical experiments show that the two new stochastic conjugate gradient methods are competitive compared with other classical methods.
Binary search of the optimal cut-point value in ROC analysis using the F1 score
Authors: Tan Swee Chuan , Zhu Siying 
Published: October 2023

Abstract
This paper introduces a binary search algorithm for determining the optimal probability cut-point value (C) of binary classifiers. Cut-points are operating points on the receiver operating characteristic curve that divide positive and negative predictions. Compared to the traditional exhaustive search for optimal C value, the proposed method offers execution time efficiency (O(log2(k))) and a small cut-point error of 1/2
n
after k steps of binary search. Traditionally, the optimal C value is determined by stepping through all possible C values. This search is uninformed because there is no indication of the search direction. To address this issue, we derive the expectation of the F-Measure (aka F1 score); and use it to guide the search process. Specifically, by comparing the F-Measure at the current cut-point with the F-Measure at expected cut-point, we can use the information to adjust C dynamically towards the optimal cut-point, resulting in optimal model performance. Our results on two classifiers trained from disease classification datasets suggest that the algorithm is robust and efficient, as compared to the traditional methods.
An effective mathematical model of cardiac electrical activities for Bundle Branch Blocks
Authors: Elkaranshawy Hesham , Mohammed Hala , Elabsy Hanaa 
Published: October 2023

Abstract
In this paper a mathematical model of cardiac induction system is developed. Sinoatrial node (SA), atrioventricular node (AV) and His Purkinje system (HP) are represented by modified Van der Pol-type oscillators (VDP) connected with time-delay coupling. Atrial and ventricular muscles are modeled using modified Aliev-Panfilov equations (AP), with stimulation current from the related pacemakers, to represent the P, QRS, Ta, and T waves. The main aim of this paper is to model bundle branch blocks (BBBs) for right (RBBB) and left (LBBB) branches. In fact, the right and left ventricles are directly affected by these blocks since the HP bundle is composed of right and left bundle branches that provide electrical signals, respectively, to the right and left ventricles. Four VDP oscillators are utilized, one for each of SA, AV, right HP, and left HP. The depolarization of the right and left ventricular muscles are represented by two systems of AP equations to produce right QRS and left QRS waves. The results of the simulation are compared with real normal and pathological electrocardiograms (ECGs) to show the effectiveness and the accuracy of the proposed model. The simulation proves that the model can reproduce the blocks in the HP bundle branches.
Flow Prediction for Hydropower Generation using LMST Neural Networks
Authors: Achig Roberto Salazar , Gonzales J A , Hidalgo C A 
Published: October 2023

Abstract
The objective of this investigation is to predict the necessary flow to satisfy the demand in order to guarantee the generation of energy in a hydropower, for which the artificial neural network LMST (Long Short-Term Memory) was used. In this context, in this article, historical data from the years 2010 to 2019 of flow and power of the plant was used, which were provided by it, in the first instance the data was purified to group them and graph the heat diagram with which the variables of interest were determined, then the training was carried out with which the network was structured with 10 neurons, 2 hidden layers, 2 freezing layers and 1 output layer. In addition, the RMSprop optimizer was selected with 10 numbers of delays with which an absolute error of 5.12% was obtained, finally tests were made comparing the results obtained in the training with data from one day after those that were used in the training and testing database. It is worth mentioning that by predicting the flow for the production of electrical energy, it contributes to the National Development Plan “Toda una Vida” of Ecuador, which is why it focuses on optimizing the use of water resources for required production levels.
Negative thermal expansion mechanical metamaterial using the swastika shape
Authors: Lim Teik-Cheng 
Published: October 2023

Abstract
Materials and structures operating under thermal fluctuation encounter thermal expansion and/or thermal stresses, which require components that allow expansion compensation in certain directions and zero expansion in other directions. A 2D mechanical metamaterial with negative thermal expansion and zero thermal expansion in the in-plane and out-of-plane directions, respectively, is established herein by inspiration from the swastika shape. The swastika units are rigid and are interconnected to each other by positioning the connecting materials, which possess high thermal expansion, at the inner surfaces of the swastika arms. In this way, thermal expansion of the connecting materials tends to draw the swastika units towards each other, thereby generating an overall thermal contraction. Theoretical results indicate that the negativity of the thermal expansion is enhanced by the size of the connecting materials, but suppressed by the size of the swastika units. The results also reveal that the connecting material thickness and the swastika arm length exert major roles while the connecting material length and the swastika arm width play minor roles in influencing the effective thermal expansion coefficient of the metamaterial. These observations offer solutions for quick coarse-tuning and slow fine-tuning of the metamaterial’s CTE. Although swastikas have cultural, religious, and even political connotations, the author would like to clarify that the swastika considered herein has been used purely for its geometric shape. The author does not intend to convey any cultural or ideological meaning by its use in this article.
Optimization of a punch shape with a doubly connected contact domain
Authors: Shyshkanova G , Walther A 
Published: October 2023

Abstract
The objective is to optimize the distribution of the normal pressure under a rigid punch (indenter) having a doubly connected contact domain close to a circular ring and interacting with a homogeneous isotropic elastic half-space. In the problem considered here, the required design variable is the punch shape. The functional to be minimized is the root-mean-square deviation of the present pressure distribution from some given distribution. An analytical technique is developed for solving the problem for the punches with doubly connected shape, by reducing to a sequence of similar problems for the circular ring punches using expansions of the simple layer potential. The method of expansion in terms of a small parameter is used. The simple layer potential expansion is proposed when mapping a doubly connected integration domain onto a circular ring by transforming the integration variables and transforming the coordinates of the pole of the kernel. As a result, a set of similar problems was obtained for a circular ring to determine the functions characterizing the normal pressure distribution over a non-circular ring contact domain under the punch, as well as the normal displacements, from where the optimal punch shape is determined.
A lubrication model and static characteristics analysis for bubbly oil lubricated journal bearings based on theory of multiphase mixtures
Authors: Li Shaohua , Jiang Shuyun , Lin Xiaohui 
Published: October 2023

Abstract
A bubbly oil lubrication model is established in this paper. Interface effect is included in this new model. Two single-component coupled nonlinear generalized Reynolds-type equations are derived based on the theory of multiphase-mixture flow and the second law of thermodynamics. The static characteristics of the finite journal bearings with bubbly oil lubrication are predicted using this theoretical model. The results show that the friction torque is significantly reduced compared to pure oil lubrication at a higher initial bubble volume fraction, and the sidle leakage are significantly increased compared to pure oil lubrication.