bluuebunny/crossref_metadata_2025_split huggingface dataset:
Expression of polymeric immunoglobulin receptor (PIGR) and the effect of PIGR overexpression on breast cancer cells
Authors: Asanprakit Wichitra , Lobo Dileep N. , Eremin Oleg , Bennett Andrew J. 
Published: October 2023

AbstractPolymeric immunoglobulin receptor (PIGR) has a major role in mucosal immunity as a transporter of polymeric immunoglobulin across the epithelial cells. The aim of this study was to determine the effect of PIGR on cellular behaviours and chemo-sensitivity of MCF7 and MDA-MB468 breast cancer cell lines. Basal levels of PIGR mRNA and protein expression in MCF7 and MDA-MB468 cells were evaluated by real time quantitative polymerase chain reaction and Western blotting, respectively. MCF7/PIGR and MDA-MB468/PIGR stable cell lines, overexpressing the PIGR gene, were generated using a lentiviral vector with tetracycline dependent induction of expression. Cell viability, cell proliferation and chemo-sensitivity of PIGR transfected cells were evaluated and compared with un-transfected cells to determine the effect of PIGR overexpression on cell phenotype. The levels of PIGR mRNA and protein expression were significantly higher in MDA-MB468 cells than in MCF7 cells (380-fold, p < 0.0001). However, the differential expression of PIGR in these two cell lines did not lead to significant differences in chemosensitivity. Viral overexpression of PIGR was also not found to change any of the parameters measured in either cell line. PIGR per se did not affect cellular behaviours and chemosensitivity of these breast cancer cell lines.
Enhanced circularly polarized luminescence dissymmetry of [Ru(bpy)3]2+ complexes in a 3D chiral framework: a study of transparent thin films
Authors: Zhang Songwei , Schnable David , Elgin Jocelyn , Ung Gaël , Wu Yiying 
Published: October 2023

A “chiral-in-chiral” structure is formed from chiral luminescent [Ru(bpy)3]2+ complexes within chiral inorganic frameworks for circularly polarized luminescence.
New pilot protection method based on the current fault component waveform similarity
Authors: Gao Shuping , Zheng Han , Gao Yue , Song Guobing 
Published: October 2023

AbstractIn order to improve the ability of the modular multi‐level converter to quickly clear and isolate faults in the multi‐terminal flexible DC grid, this paper analyzes the characteristics of current faults in the multi‐terminal flexible direct current grid, introduces the comprehensive distance of current fault waveform, and proposes a line protection method based on the similarity of current fault waveform. This protection method firstly uses Euclid Dynamic Time Warping (DTW) distance and entropy weight method to process electrical quantity signals, calculates the comprehensive distance of current fault waveform of two converter stations, and builds the protection criterion based on the similarity of current fault waveform. Then, the fault identification is realized by using the calculated comprehensive distance, and the fault pole identification is realized by using the ratio of comprehensive distance between positive and negative poles. Finally, PSCAD was used to build a simulation model to output the fault data under different fault conditions, and MATLAB was used to process the fault data to verify the protection algorithm. The simulation results show that the proposed method has good resistance to high resistance, and its rapidity and adaptability are further improved. Compared with other similarity methods, this method combines Euclidean DTW distance and entropy method to process the signal, realizes the fault pole identification, and can still operate correctly under the interference of 500 Ω transition resistance and 20 dB noise ratio. The research results will provide a theoretical basis for the safe and reliable operation of flexible DC power grid.
Galaxy mergers in Subaru HSC-SSP: A deep representation learning approach for identification, and the role of environment on merger incidence
Authors: Omori Kiyoaki Christopher , Bottrell Connor , Walmsley Mike , Yesuf Hassen M. , Goulding Andy D. , Ding Xuheng , Popping Gergö , Silverman John D. , Takeuchi Tsutomu T. , Toba Yoshiki 
Published: October 2023

Context.Galaxy mergers and interactions are an important process within the context of galaxy evolution, however, there is still no definitive method which identifies pure and complete merger samples is still not definitive. A method for creating such a merger sample is required so that studies can be conducted to deepen our understanding of the merger process and its impact on galaxy evolution.Aims.In this work, we take a deep-learning-based approach for galaxy merger identification in Subaru HSC-SSP, using deep representation learning and fine-tuning, with the aim of creating a pure and complete merger sample within the HSC-SSP survey. We can use this merger sample to conduct studies on how mergers affect galaxy evolution.Methods.We used Zoobot, a deep learning representation learning model pretrained on citizen science votes on Galaxy Zoo DeCALS images. We fine-tuned Zoobot for the purpose of merger classification of images of SDSS and GAMA galaxies in HSC-SSP public data release 3. Fine-tuning was done using ∼1200 synthetic HSC-SSP images of galaxies from the TNG simulation. We then found merger probabilities on observed HSC images using the fine-tuned model. Using our merger probabilities, we examined the relationship between merger activity and environment.Results.We find that our fine-tuned model returns an accuracy on the synthetic validation data of ∼76%. This number is comparable to those of previous studies in which convolutional neural networks were trained with simulation images, but with our work requiring a far smaller number of training samples. For our synthetic data, our model is able to achieve completeness and precision values of ∼80%. In addition, our model is able to correctly classify both mergers and non-mergers of diverse morphologies and structures, including those at various stages and mass ratios, while distinguishing between projections and merger pairs. For the relation between galaxy mergers and environment, we find two distinct trends. Using stellar mass overdensity estimates for TNG simulations and observations using SDSS and GAMA, we find that galaxies with higher merger scores favor lower density environments on scales of 0.5 to 8h−1Mpc. However, below these scales in the simulations, we find that galaxies with higher merger scores favor higher density environments.Conclusions.We fine-tuned a citizen-science trained deep representation learning model for purpose of merger galaxy classification in HSC-SSP, and make our merger probability catalog available to the public. Using our morphology-based catalog, we find that mergers are more prevalent in lower density environments on scales of 0.5–8h−1Mpc.
Finding the dispersing siblings of young open clusters
Authors: Vaher E. , Hobbs D. , McMillan P. , Prusti T. 
Published: October 2023

Context. Stars tend to form in clusters, but many escape their birth clusters very early. Identifying the escaped members of clusters can inform us about the dissolution of star clusters, but also about the stellar dynamics in the galaxy. Methods capable of finding escaped stars from many clusters are required to fully exploit the large amounts of data in the Gaia era.
Aims. We present a new method of identifying escaped members of nearby clusters and apply it to ten young clusters.
Methods. We assumed the escaped stars were close to the cluster in the past and performed traceback computations based on the Gaia DR3 radial velocity subsample. For each individual star, our method produces a probability estimate that it is an escaped member of a cluster, and for each cluster it also estimates the field star contamination rate of the identified fugitives.
Results. Our method is capable of finding fugitives that have escaped from their cluster in the last few ten million years. In many cases the fugitives form an elongated structure that covers a large volume.
Conclusions. The results presented here show that traceback computations using Gaia DR3 data can identify stars that have recently escaped their cluster. Our method will be even more useful when applied to future Gaia data releases that contain more radial velocity measurements.
Design and mathematical modeling of scintillator-based electron–ion Thomson parabola spectrometer
Authors: Li Kun , Zong Shunhui 
Published: October 2023

A compact scintillator-based electron–ion Thomson Parabola Spectrometer (ei-TPS) is designed and built up, which is able to measure the spectrum of electron and ion beams simultaneously in the same angular axis and real-time mode. The energy range of electrons is around 0.27–3.8 MeV with a relative energy resolution better than 2.5%, and the energy range of proton is around 0.16–21 MeV with a relative energy resolution better than 4% at the kinetic energy of 1 MeV, which makes it suitable for laser-driven ion acceleration experiments with 100-TW level laser. Detailed mathematical modeling is performed to reveal the dependence of properties, such as energy range and resolution, response, and detection threshold, on various parameters of ei-TPS, which is useful to modify the parameters according to specific requirements of electrons and ions.
Estimation of 2D profile dynamics of electrostatic potential fluctuations using multi-scale deep learning
Authors: Jajima Yuki , Sasaki Makoto , Ishikawa Ryohtaroh T , Nakata Motoki , Kobayashi Tatsuya , Kawachi Yuichi , Arakawa Hiroyuki 
Published: October 2023

Abstract
Dynamics in magnetically confined plasmas are dominated by turbulence driven by spatial inhomogeneities in density and temperature. Simultaneous measurement of velocity field and density fluctuations is necessary to observe the particle transport, but the measurement of the velocity field fluctuations is often challenging. Here, we propose a method to estimation velocity field fluctuations from density fluctuations by using plasma turbulence simulations and a deep technique learning. In order to take multi-scale characteristics into account, the several number of spatial filters are used in the convolutional neural network. The velocity field fluctuations are successfully predicted, and the particle transport estimated from the predicted velocity field fluctuations is within 93.1% accuracy. The deep learning could be used for the prediction of physical variables which are difficult to be measured.
A fractional-order quantum neural network: dynamics, finite-time synchronization
Authors: Wang S-F , Xu X-J 
Published: October 2023

Abstract
A model of fractional-order quantum cellular neural network (FoQCNN) by using fractional-order quantum-dot cellular automata (QCA) is constructed and its dynamics are analyzed. Then, a robust finite-time synchronization scheme using terminal sliding mode control (SMC) technique is proposed. And then, taking the perturbed FoQCNN model with uncertainties and external disturbances as an example, the results are simulated which present the proposed scheme is effective. It has robust synchronization performance and good anti-interference ability, which provides a theoretical basis for the application of neural network in security.
Highly uniform nanocomposite through the decoration of MnS on graphitic carbon nitride as electrodes for symmetric supercapacitor
Authors: Ben Gouider Trabelsi Amira , Elsayed Asmaa M , Alkallas Fatemah H , Rabia Mohamed 
Published: October 2023

Abstract
The decoration of MnS on the graphitic carbon nitride (G-C3N4) is demonstrated through solvothermal synthesis, in which the MnS/G-C3N4 nanocomposite is formed. Under combustion at 300 oC for 5 min, the incorporation of MnO2 materials is obtained as a dopant material. The morphological properties are performed through the TEM and SEM analyses, in which a spherical-like nanocomposite is formed. The elemental and crystalline structures are confirmed using the XPS and XRD analyses. Testing this composite as a supercapacitor is performed through a (1.0 M) Na2SO4 electrolyte. This capacitor illustrates a specific capacitance (CS) of 43.5 F g−1 at 0.2 A g−1, while the energy value (E) is 8.6 W.h.kg−1. This capacitor has an excellent stability of 98.2% till 1000 cycles. The great stability of the supercapacitor till 1000 cycles confirms the ability of this supercapacitor to work well under the charge and discharge process for a long time.
Numerical analysis of electro-thermo-convection in a differentially heated square cavity with electric conduction
Authors: Peng Yuxing , Wang Junxiu , Du Zhonglin , Vázquez Pedro A , Wu Jian 
Published: October 2023

Abstract
Natural convection with an electric field in the classic differentially heated square cavity is numerically studied. The electric conduction model for the generation of free space charges, which applies to weak and moderate electric field with weakly conducting liquids, is specially considered. The whole set of governing equations is implemented in the open-source finite-volume framework of OpenFOAM. Thorough investigation has been undertaken to analyze the thermal and flow characteristics of electro-thermo convection. The results reveal that the introduction of an electric field leads to a suppressive influence on flow motion across all considered Rayleigh numbers (Ra), aligning with recent experimental findings. This effect becomes more pronounced with increasing conduction number (C
0), resulting in the reduction of flow intensity and a thicker thermal boundary layer. Consequently, heat transfer is subdued due to the electric field, causing a decrease in the Nusselt number (Nu) as C
0 increases. To elucidate the mechanism how the electric field impacts natural convection, the torques induced by the electric and buoyancy forces are computed. Higher C
0 will lead to a lower buoyancy torque and stronger electric torque, where the electric torque is opposite to the buoyancy torque, thus the weaker flow strength is shown at higher C
0. Finally, to quantify the reduction in heat loss, the relative Nusselt number (Rnu) is introduced. It is found that there is a critical Ra corresponding to minimal Rnu, and for the parameters considered in this study, the minimum Rnu of 0.563 is observed at C
0 = 0.2 and Ra = 1.2 × 104. For large Ra, the Rnu almost keeps constant with increasing Ra.
Development of a coulometry system at the Korea Research Institute of Standards and Science and evaluation of the measurement uncertainty originating from the system
Authors: Jo Kyungmin , Lim Youngran , Lee Kyoung-Seok , Hwang Euijin 
Published: October 2023

Abstract
Coulometry is used to realize the definition of the mole and enables the direct determination of the purity of high-purity substances that are used as standards for other relative measurements with very small measurement uncertainty. However, despite several studies reporting the development of accurate and precise coulometry systems, there is a lack of detailed description of the system and systematic evaluation of the measurement uncertainty arising from the system. In this study, coulometry systems constructed at the Korea Research Institute of Standards and Science (KRISS) are described in detail and the uncertainties associated with these systems are systematically evaluated using a bottom-up approach. The relative expanded uncertainty resulting from the measurement system for the amount-of-substance content of acid in high-purity potassium hydrogen phthalate is approximately 0.0005%. The performance of the KRISS coulometry systems has been verified through several international comparisons and comparative measurements using certified reference materials.
Analysis of uncertainty factors in the prediction of missile pitch damping derivatives by unstructured CFD solver
Authors: Zhang Jian , Gong Xiaoquan , Zhang Peihong , Liu Jie , Zhang Yaobing 
Published: October 2023

Abstract
Based on the transient planar pitching method, the dynamic derivative calculation function is implemented on an unstructured computational fluid (CFD) software NNW-FlowStar. Then the pitch-damping dynamic derivatives of the standard model of the ANF missile at zero angles of attack and different Mach numbers (0.5∼4.5) are calculated. The influence of various numerical and physical parameters on the calculation results of dynamic derivatives is studied in detail. It is found that the dynamic derivatives of pitch damping are independent of the values of amplitude (0.125° ≤ A ≤ 1°) and reduction frequency (0.025 ≤ k ≤ 0.2). When the number of calculation steps of the sine oscillation period is 200 and the number of inner iterations is 40, the prediction accuracy and computing efficiency can meet the engineering requirements simultaneously in this case. The influence of different grid resolutions on the dynamic derivative calculation results is studied. Results show that the grid requirements of dynamic derivative calculation are consistent with those of steady-state calculations. Finally, the calculation results are compared with the free flight test results, which verifies the reliability of the methods and parameters suggested in this paper.
Numerical Simulation of Supercritical Carbon Dioxide Dry Gas Seal
Authors: Cao Yue , Jin Jian , Chang Yinhui , Wang Xiaojing 
Published: October 2023

Abstract
A theoretical model of the dry gas seal (DGS) was established, considering real gas, inertia, turbulence, and choked flow effects. The steady-state performance of supercritical carbon dioxide DGSs under high-pressure and high-speed operating conditions was analyzed. The results show that: the increase in groove depth will result in higher opening force and leakage; the opening force and leakage initially increase and then decrease with the increase in the spiral angle; the opening force and leakage increase with the increase in the inlet pressure; the increasing rotation speed leads to an increase in opening force and leakage.
Kinetic Equation Study on Momentum Conservation of Aerodynamics Incompressible Fluid of High-Altitude Aircraft
Authors: Tao Meiying 
Published: October 2023

Abstract
This paper introduces an integrated aerodynamic design method for aircraft based on numerical solution of hydrodynamics and electromagnetics equations. By using Pro/Engineer, ANSA, Fluent and MATLAB, the geometric shape, unstructured fluid mesh, hydrodynamic parameters and unpowered flight trajectory data of an aircraft were processed and calculated. In this paper, N-S equations are studied, and a test scheme for a hydrodynamic material aerodynamic model is established. Then, relevant parameters of the aircraft are tested and studied. The feasibility of this method for unsteady aerodynamics analysis of aircraft is verified.
Impact of Inclined Magnetic Field of Casson Fluid on Double Diffusive Natural Convection in a Curvilinear Enclosure
Authors: Chuhan Imran Shabir , Li Jing , Zhao Hongzhen , Guo Ziyu , Yaqub Muhammad , Aslam Muhammad Aqib 
Published: October 2023

Abstract
In this paper, the Casson fluid model and the inclined magnetic field are used to analyse mathematically the energy transport of double diffusive natural convection (DDNC) in a curvilinear enclosure. The Galerkin finite element method (GFEM) is used to discretize the equations. When simulating the different ranges of Rayleigh numbers (105 ≤ Ra ≤ 108) and the heated part, we adopt isotherms and streamlines to visualize the thermal and flow fields. In addition, we study the impact of the Casson parameter on the Nusselt number along the cavity wall. The results show that the lower values of Casson fluid parameter have a significant effect on the Nusselt number in the middle of the cavity. Finally, the results are verified with the existing studies, and various parameters such as streamline, isotherm, isoconcentration contour and kinetic energy are presented in the form of graphs and tabular formats.
Numerical Simulation of the Internal Flow Field of Test Chamber at High Altitude Environment
Authors: Wang Guohong , Liu Zhenting , Zhang Baojun , Li Shuang 
Published: October 2023

Abstract
In order to further promote the digitalization extent of environmental test, ensure that the test chamber can more realistically simulate the actual environment, and improve the environmental adaptability of vehicle equipment in extreme environments, the three-dimensional CFD simulation method was used to calculate simulation test chamber of an armored vehicle in high-altitude environment in the form of low-speed return flow wind tunnel. There are movable suspension and flap in the entrance to the contraction section of the test chamber. The velocity field and temperature field were analyzed, the temperature distribution and heat transfer in the characteristic section of the test section under different flap deflection angles were compared and analyzed by selecting working conditions, and make the relationship among flow speed and flow rate and the temperature field of the test section clear.
Study on the mechanism and simulation of slurry diffusion in fractured rock mass based on detour effect
Authors: Lu Guozhi , Ni Ping , Hu Fei 
Published: October 2023

Abstract
The grout diffusion law and grouting effect of fractured rock mass are affected by the roundabout effect. In this paper, based on the power law fluid theory, the formula of slurry diffusion mechanism in fractured rock mass considering the circuitous effect is derived; Further, based on COMSOL numerical simulation software, the influence of grouting pressure and grouting time on the slurry diffusion range is studied; Finally, through comparative analysis, the correctness and feasibility of the theoretical analysis are verified based on the numerical simulation results. The research results can provide theoretical reference and technical support for the design and construction of grouting engineering.
Numerical investigation of the discharging process in a latent cold storage unit
Authors: Yang Xun , Li Chao 
Published: October 2023

Abstract
In this study, a latent cold storage unit using vertical cylindrical structure coupled with a concentric air duct is proposed. The cold discharging process of the unit is simulated by computational fluid dynamics (CFD) based on the enthalpy-porosity method. The temperature distribution and liquid fraction distribution of the latent cold storage unit are analyzed. In addition, thermal performance including the average temperature of phase change material, outlet air temperature, the liquid fraction and the cold discharging power are analyzed in detail.
Investigation of dynamic characteristics in the hydraulic shock absorber based on different FSI FEA methods
Authors: Xu Wenxue , Gu Changming , Fu Shuguang , Lv Mingliang 
Published: October 2023

Abstract
Two three-dimensional fluid-structure interaction (FSI) finite element analysis (FEA) models with different fluid cells and coupling solution methods of a gas-pressured hydraulic shock absorber is constructed, and the results are partially verified experimentally. Models with FCBI fluid cell and direct FSI solution method or FCBI-C fluid cell and iterative FSI solution method provide good simulation results of the FSI system of the hydraulic damper.