bluuebunny/crossref_metadata_2025_split huggingface dataset:
Separability criteria based on a class of symmetric measurements
Authors: Lai Lemin , Luo Shunlong 
Published: April 2023

Abstract
Highly symmetric quantum measurements, such as mutually unbiased measurements (MUMs) and general symmetric informationally complete positive-operator-valued measures (GSIC-POVMs), play an important role in both foundational and practical aspects of quantum information theory. Recently, a broad class of symmetric measurements were introduced [K Siudzińska, (2022) Phys. Rev. A
105, 042209], which can be viewed as a common generalization of MUMs and GSIC-POVMs. In this work, the role of these symmetric measurements in entanglement detection is studied. More specifically, based on the correlation matrices defined via (informationally complete) symmetric measurements, a separability criterion for arbitrary dimensional bipartite systems is proposed. It is shown that the criterion is stronger than the method provided by Siudzińska, meanwhile, it can unify several popular separability criteria based on MUMs or GSIC-POVMs. Furthermore, using these (informationally complete) symmetric measurements, two efficient criteria are presented to detect the entanglement of tripartite quantum states. The detection power and advantages of these criteria are illustrated through several examples.
Cross-correlation Forecast of CSST Spectroscopic Galaxy and MeerKAT Neutral Hydrogen Intensity Mapping Surveys
Authors: Jiang Yu-Er , Gong Yan , Zhang Meng , Xiong Qi , Zhou Xingchen , Deng Furen , Chen Xuelei , Ma Yin-Zhe , Yue Bin 
Published: April 2023

Abstract
Cross-correlating the data on neutral hydrogen (H i) 21 cm intensity mapping with galaxy surveys is an effective method to extract astrophysical and cosmological information. In this work, we investigate the cross-correlation of MeerKAT single-dish mode H i intensity mapping and China Space Station Telescope (CSST) spectroscopic galaxy surveys. We simulate a survey area of ∼300 deg2 of MeerKAT and CSST surveys at z = 0.5 using Multi-Dark N-body simulation. The PCA algorithm is applied to remove the foregrounds of H i intensity mapping, and signal compensation is considered to solve the signal loss problem in H i-galaxy cross power spectrum caused by the foreground removal process. We find that from CSST galaxy auto and MeerKAT-CSST cross power spectra, the constraint accuracy of the parameter product ΩH I
b
H I
r
H I,g
can reach ∼1%, which is about one order of magnitude higher than the current results. After performing the full MeerKAT H i intensity mapping survey with 5000 deg2 survey area, the accuracy can be enhanced to <0.3%. This implies that the MeerKAT-CSST cross-correlation can be a powerful tool to probe the cosmic H i property and the evolution of galaxies and the Universe.
Bi-metal Sulfides Embedded in MOF-derived N-doped Carbon Polyhedral Nanocages for High-performance Lithium-ion Batteries
Authors: Cai Yangbo , Wu Chenyu , Wang Xiuzhen , Kong Wei 
Published: April 2023

Abstract
The high rate and long life performance of the lithium ion batteries are affected by serious volume change and low conductivity of the active electrode material during the charging and discharging. Herein, bimetal sulfides embedded in N-doped carbon polyhedral nanocages (SnS@CoS@NCNTs) are successfully designed by employing porous metal-organic frameworks (MOFs) as precursors. Benefiting from the abundant active sites of metal sulfide, the catalytic properties of CoS, and the high conductivity of porous carbon, SnS@CoS@NCNTs electrode materials exhibit excellent performance. The electrode delivers the initial specific capacity of 1112 mA·h·g−1 and the remarkable capacity of nearly 440 mA·h·g−1 after 300 cycles in current density of 1 A·g−1, which may be caused by the synergistic effect of bimetal sulfides and N-doped carbon polyhedral nanocages to enhance the structural stability and ion/electron conductivity. This work provides a feasible method for constructing bimetal-sulfide/carbon composites with excellent electrochemical performance.
Study on the Influence of the Tube Bundle Arrangement on the Performance of Condenser in Nuclear Power Plant
Authors: Yan Dong , Sun Yueheng 
Published: April 2023

Abstract
Nuclear power generation technology is obviously a safe and economical way of generating power in modern society. As the low temperature heat source, the condenser of the nuclear power technology condenses the steam into condensate water and then establishes a certain degree of vacuum at the exhaust port of the turbine. The operation of condenser is critical to the nuclear power generation technology. In this paper, the influences of the arrangement of tube bundles on the condenser of nuclear power generation technology were investigated. Three types of condensers, including the church window type, the centripetal type, and the UT type, were analyzed using Ansys Fluent software. The steam flow velocity distribution, air concentration distribution, temperature distribution, and heat transfer coefficient distribution were studied. Under specific design conditions, the flow velocity in the church window type was large, the exhaust air concentration was small, the maximum flow rate distribution was relatively reasonable, and the air concentration distribution was more concentrated. The performances of the centripetal type and the UT type were slightly worse, and the steam condensation was less. In contrast, the condensation of the church window type was large, the relative performance was high, and the heat transfer performance was better.
Exploration of NLM Based on MMC on Offshore Wind Power
Authors: Yang Xinglin , Zhang Ruirui , Chen Zhenzhen , Zhou Min 
Published: April 2023

Abstract
Nowadays, the world is facing a common problem of resource scarcity, so the search for a new clean energy source is the trend of the future. China is rich in marine resources and is close to the centers of electricity consumption. Offshore wind power as a future clean energy source is thus a new avenue to pursue today. Now, one of the technical issues limiting the expansion of offshore wind power is the reliable and economical transmission of long-range electricity to onshore power grids. However, traditional high-voltage DC transmission is no longer suitable for large, long-distance offshore wind farms due to its economics, the difficulty of compensating for offshore reactive power, and the complexity of large-scale system coupling. The flexible HVDC transmission method based on MMC (Modular Multilevel Converter) has become the development direction for HVDC transmission due to its high output quality and economic advantages. MMC is the core device for flexible HVDC transmission. In order to improve the output voltage quality and ensure the stability of the transmission process, the selection of a suitable modulation method is a basic condition. Among the existing applied modulation methods, this paper took NLM (nearest level modulation) based on MMC as the research object. It was verified through principal analysis and simulation that this method could not only achieve multi-level output but also that the more sub-module (SM) investment, the higher the output waveform quality.
Reliability-based Multi-objective Optimization with Uncertain Wind Power
Authors: Wang Lele , Xian Richang , Li Zhi , Zhang Mengmeng 
Published: April 2023

Abstract
The unpredictability for wind power interprets the critical factor limiting its large-scale penetration in microgrids. Gaussian and Cauchy distributions describe both the arbitrary and vague characteristics of wind power to evaluate wind power unpredictability. Afterward, the wind power is presumed an undefined arbitrary variable, and a multi-objective optimization model concerning the credibility density function is developed to balance the economics and the reliability of microgrids. For the solution of the model, the NSGA-II algorithm is applied to seize the Pareto front. By fully deliberating the cognitive uncertainty of the dispatchers, the evidence-theory-based decision-making is employed to drive the eventual scheduling from the Pareto set. The emulation performances substantiate the appropriateness and efficacy of the proffered model with unpredictable wind power by providing a compromise scheme between economics and reliability.
Analysis Method for the Substitution Effect of the Alternative Energy Storage of Power Grid Functions Based on the Annual Cost Method
Authors: Liang Hao , Zhang Jialei , Li Nana , Meng Zihan , Huang Bibin , Hu Jing , Liu Li 
Published: April 2023

Abstract
New energy storage is an important technology and fundamental equipment for building a new electric power system, an important support for achieving the goals of carbon peaking and carbon neutrality, and also a development focus for emerging strategic industries. In light of typical situations, such as a lack of station site resources and large-scale access to distributed new energy for power supply on a sea island, new energy storage is proposed to solve power supply capacity or quality problems in local areas and to replace or postpone power transmission and distribution investment. Considering the different life cycles of energy storage and power grid facility projects, we proposed an assessment method for the substitution effect of alternative energy storage on power grid functions based on the annual cost method and measured its cost-effectiveness under typical application scenarios.
Stiffness-dependent dynamic effect of inflammation on keratocyte phenotype and differentiation
Authors: Chen Jialin , Mo Qingyun , Sheng Renwang , Long Qiuzi , Chen Zhixuan , Liu Chuanquan , Zhang Aini , Luo Yifan , Liu Jia , Zhang Wei 
Published: April 2023

Abstract
Although extensive studies have evaluated the regulation effect of microenvironment on cell phenotype and cell differentiation, further investigations in the field of the cornea are needed to gain sufficient knowledge for possible clinical translation. This study aims to evaluate the regulation effects of substrate stiffness and inflammation on keratocyte phenotype of corneal fibroblasts, as well as the differentiation from stem cells towards keratocytes. Soft and stiff substrates were prepared based on polydimethylsiloxane. HTK and stem cells were cultured on these substrates to evaluate the effects of stiffness. The possible synergistic effects between substrate stiffness and inflammatory factor IL-1β were examined by qPCR and immunofluorescence staining. In addition, macrophages were cultured on soft and stiff substrates to evaluate the effect of substrate stiffness on the synthesis of inflammatory factors. The conditioned medium of macrophages (Soft-CM and Stiff-CM) was collected to examine the effects on HTK and stem cells. It was found that inflammatory factor IL-1β promoted keratocyte phenotype and differentiation when cells were cultured on soft substrate (∼130 kPa), which were different from cells cultured on stiff substrate (∼2 × 103 kPa) and TCP (∼106 kPa). Besides, macrophages cultured on stiff substrates had significantly higher expression of IL-1β and Tnf-α as compared to the cells cultured on soft substrates. And Stiff-CM decreased the expression of keratocyte phenotype markers as compared to Soft-CM. The results of our study indicate a stiffness-dependent dynamic effect of inflammation on keratocyte phenotype and differentiation, which is of significance not only in gaining a deeper knowledge of corneal pathology and repair, but also in being instructive for scaffold design in corneal tissue engineering and ultimate regeneration.
Flood impacts on global crop production: advances and limitations
Authors: Kim Wonsik , Iizumi Toshichika , Hosokawa Nanae , Tanoue Masahiro , Hirabayashi Yukiko 
Published: April 2023

Abstract
Considering the anticipated rise in wet extremes due to climate change, effective management of flood risks in global agriculture necessitates an initial assessment of the impact of floods on crop production. Such estimation can inform the development of strategies to enhance the resilience of the global agricultural system against floods, particularly in the face of growing demand for food. To this end, a worldwide calculation of inundation areas’ return periods was conducted using a global river and inundation model output. This information was then linked to a global historical yield map, allowing for the identification of flood-induced crop yield changes. The findings revealed that for return periods over ten years, global average yield losses were estimated to be 4% for soy, 3% for rice, 2% for wheat, and 1% for maize. These losses amounted to a total production loss of 5.5 billion United States dollars during the 1982–2016 period. This first global estimation of flood impacts on crop production contributes to the advancement of flood risk management in agriculture, although the limitations identified in this study need to be addressed in future research.
Nanoscale surface profile measurement using state space approach in digital holographic microscopy
Authors: Pandey Dhruvam , Gannavarpu Rajshekhar 
Published: April 2023

Abstract
Surface profile measurement at the nanoscale level has important applications in non-destructive testing and evaluation. The paper proposes a robust method for surface profilometry using digital holographic microscopy setup. The proposed method relies on extracting the phase map encoded in the hologram signal, which directly corresponds to the surface profile, using state space approach. The main advantage of the proposed method is high robustness against noise, which is demonstrated using numerical simulations. For designing the experimental system, a combination of Raspberry-Pi computer and camera module is used for hologram acquisition and processing, which is a step towards low cost imaging. For surface profile measurement, the experimental system has both temporal and spatial sensitivity parameters within 5 nanometers, which indicates robust design. In addition, experimental results show that the proposed method shows superior performance compared to the existing methods for measuring 100 nanometers surface profile features corresponding to different micro-structure regions of a standard calibration test target. Overall, the proposed method allows for single shot, non-contact and full-field measurement of nanoscale surface profile with additional benefits of noise robustness and low cost imaging design.
How Media’s factor and governmental factor affected individual’s opinion on haze in China
Authors: Liu Huan 
Published: April 2023

Abstract
Understanding the underlying mechanism of individual’s opinion on haze is important to govern public opinion on haze, and the major question of exiting research is that it has not yet explored what factors and how do they affect individual’s opinion on haze. This study aimed to uncover the underlying influencing mechanism of individual’s opinion on haze. This study conducted Partial Least Square Structural equation Modeling (PLS-SEM) to examine the impacts of media’s factor (i.e. agenda setting, media accountability, and information credibility), governmental factor (i.e. policy instrument) and psychological factor (i.e., social distance, spatial distance) on individual’s opinion on haze. Based on the Agenda Melding Theory and stakeholders (i.e., media, government, and resident), this study constructed a conceptual model, which is empirically examined by conducting questionnaire survey data of 973 residents in China. The results indicate that media’s factor (media accountability, information credibility), governmental factor (policy instrument), and psychological distance have significant positive direct impacts on individual’s opinion on haze. Furthermore, media’s factor (agenda setting) only has an indirect impact on individual’s opinion on haze through the mediation effects of information credibility. However, information credibility also had significant moderation effects on the relationship between psychological distance and individual’s opinion on haze. The moderation and mediation effects of information credibility indicated that it played a vital role in guiding individual’s opinion on haze. These findings suggest that further research is required on the interaction of stakeholders and that concerted efforts of different stakeholders to assist governing individual’s opinion on haze.
Research on the influence of environmental regulation on the total factor energy efficiency of China’s construction industry
Authors: Chen Zhiding , Zheng Xiaoyu 
Published: April 2023

Abstract
In order to reduce the global carbon emission pressure and improve the energy efficiency of the construction industry, this paper establishes the Un-Super-SBM model to measure the total factor energy efficiency of the construction industry in China, which based on the 2012–2019 Chinese provincial panel data with CO2 emissions as the non-desired output, and uses the panel data model to empirically analyze the impact of formal and informal environmental regulations on the energy efficiency of the construction industry. The results show that, from the national level, the impact of formal environmental regulation on energy efficiency of the construction industry shows an inverted U-shaped trend of promotion followed by inhibition, while the impact of informal environmental regulation on energy efficiency of the construction industry shows a U-shaped trend of inhibition followed by promotion. From the regional level, there are regional differences in the impact of formal and informal environmental regulations on the energy efficiency of the construction industry. Finally, the paper puts forward relevant policy suggestions to promote the improvement of energy utilization efficiency of China’s construction industry and achieve sustainable development.
Real-time remaining useful life kernel density estimation considering dynamic transition of degradation states
Authors: Li Zhehao , Shi Hui , Zhang Zhizhuang , Dong Zengshou , Li Lijun 
Published: April 2023

Abstract
The accurate prediction of remaining useful life is a significant issue for ensuring the reliable operation of the system. Considering the dynamic transfer of degenerate state can improve the prediction accuracy and reduce the number of late prediction. Firstly, a time series density peak clustering algorithm suitable for real-time manifold data clustering is proposed. By choosing larger truncation distance at points with high sample density, the cluster centers can be found more accurately. Then, different degradation state patterns according to clustering results can be divided. Moreover, the smoothing parameters can be adaptively updated according to the sample density under different degradation modes and an adaptive kernel density remaining useful life estimation model is established. The test of the gearbox verifies the necessity and accuracy of the proposed model by comparison with the remaining useful life predictions of kernel density estimation without considering degraded state transitions.
Aluminium-Silicon based Metal Matrix Composites for brake rotor applications: a review
Authors: Dinesh Kumar P K , Darius Gnanaraj S 
Published: April 2023

Abstract
In an automotive vehicle, the brake discs, also known as rotors, contribute significant weight to the engine chassis. Hence, lightweight aluminum brake discs are in the developmental stage as a popular alternative to traditional cast iron or steel brake discs. Weight reduction is desirable to improve vehicle performance and fuel efficiency. Monolithic aluminum is not a practical choice as an alternative to existing commercial brake discs because of its poor operational temperature and wear performance. Literature suggests that Aluminum Metal Matrix composite (AMC) can be an ideal choice for brake discs. AMC brake discs are more resistant to warping and cracking than cast iron discs. They also have better heat dissipation properties, which help reduce brake fade and prolong the life of the brake pads. This study examines the different types of aluminum alloys, reinforcements, and manufacturing processes for manufacturing ideal AMC brake discs. The significance of silicon as the principal alloying element to improve thermal characteristics and incorporate various reinforcements to increase the AMC’s wear resistance and frictional stability for brake disc applications is outlined. This article focuses on the thermal and tribological behavior of the AMC brake discs’ performance over traditional rotors. The review discusses the different equipment required to assess the tribological characteristics of brake discs to meet industrial requirements. In addition to experimental validation, this paper addresses the necessity of proper rotor design selection and numerical analysis to evaluate the thermo-mechanical behavior of the brake disc at various braking events. The article points out that aluminum metal matrix composites have great potential to replace conventional grey cast iron brake discs. Finally, this review discusses possible future research avenues for developing an AMC rotor disc.
Influence of tool pin profile on material flow, mechanical properties and corrosion behavior of friction stir welded dissimilar Al5083-6061
Authors: Padmavathi Tejavath , Naik Banoth Balu 
Published: April 2023

Abstract
In the current investigation, dissimilar aluminum alloys (6 mm thick Al5083 and Al6061) joints were friction stir welded by three different kinds of tool geometries with varied pin features. The results indicated that the formation of the onion ring was confined to a small part of the stir region in the case of triangular pin profile (TP) and square pin profile (SP), whereas the whole stir zone was covered by onion ring or banded structure in case of taper threaded pin profile (TTP). TP and SP show better pulsating action and result in better shearing of the material, causing the material to mix in sideward directions from the advancing side to the retreating side. But, the essential upward and downward material flow to obtain uniform mixing of both base materials were observed in TTP. It contributed to better material flow, and the tool achieved better mechanical and corrosion properties. The hardness values of the joints welded with TP and SP showed uneven distribution in the stir zone, and using TTP could minimize the deviation in hardness values. The role of different tool geometries on material flow, microstructure, corrosion, and mechanical behavior was studied, and the result has been reported and described with detailed analysis.
Force between magnetic nanoplates with dipolar interactions
Authors: Inui Norio 
Published: April 2023

Abstract
This study considers the dependence of the force caused by the dipolar interaction between small low-dimensional magnets such as single-molecule magnets and two-dimensional magnets on the distance between them within the framework of the dipolar Ising model with nearest-neighbor exchange interactions and long-range dipolar interactions. In particular, we focus on the rapid change in the force between ferromagnetic and antiferromagnetic plates, which arise from the transition of the spin states and explain that this behavior originates from the spin frustrations between magnetic plates. Furthermore, the size and temperature dependence of the interaction energy are investigated using a Monte Carlo simulation.