bluuebunny/crossref_metadata_2025_split huggingface dataset:
Superconductivity in Ti2O3 films on MgO substrate
Authors: Gantepogu Chandra Shekar , Ganesan Peramaiyan , Paul Tanmoy , Huang Chun-Hao , Chi Po-Wei , Wu Maw-Kuen 
Published: April 2022

Abstract
Transition metal oxide films exhibit strong structure-property correlations, which foster innovative physical properties that are not present in their bulk counterparts. This study has successfully prepared different thickness-dependent epitaxial Ti2O3 thin films on MgO (001) single crystal substrate using the pulsed laser deposition method. The results reveal a strong correlation between the crystal structure and superconductivity in Ti2O3 thin films. Synchrotron x-ray diffraction and high resolution transmission electron microscope measurements confirmed that the appearance of superconductivity is closely related to the coexistence of the cubic-Ti2O3 (γ-Ti2O3) and orthorhombic-Ti2O3 (o-Ti2O3) phases. Superconductivity is absent in 80 nm film, which exhibits only a single γ-Ti2O3 phase. The highest superconducting transition temperature (T
C) ∼ 7.2 K is achieved in 1200 nm film, which shows about 55% o-Ti2O3 phase and 45% γ-Ti2O3 phase. Room temperature Raman data suggest that E
g modes at ∼330 and ∼430 cm−1 may associate with superconductivity, and an E
g mode at ∼660 cm−1 is related to the insulating behavior observed in 80 nm film.
Optimally preserving quantum correlations and coherence with eternally non-Markovian dynamics
Authors: Miller Marek , Wu Kang-Da , Scalici Manfredi , Kołodyński Jan , Xiang Guo-Yong , Li Chuan-Feng , Guo Guang-Can , Streltsov Alexander 
Published: April 2022

Abstract
We demonstrate, both analytically and experimentally, the usefulness of non-Markovianity for preserving correlations and coherence in quantum systems. For this, we consider a broad class of qubit evolutions, having a decoherence matrix separated from zero for large times. While any such Markovian evolution leads to an exponential loss of correlations, non-Markovianity can help to preserve correlations even in the limit t → ∞. In fact, under general assumptions, eternally non-Markovian evolution naturally emerges as the one that allows for optimal preservation of quantum correlations. For covariant qubit evolutions, we also show that non-Markovianity can be used to preserve quantum coherence at all times, which is an important resource for quantum metrology. We explicitly demonstrate this effect experimentally with linear optics, by implementing the optimal non-Markovian quantum evolution.
Constraining time dependent dark matter signals from the Sun
Authors: Zakeri Mohammadreza , Zhou Yu-Feng 
Published: April 2022

Abstract
Dark matter (DM) particles captured by the Sun can produce
high-energy electrons outside the Sun through annihilating into
meta-stable mediators. The corresponding cosmic-ray electron signals
observed by the space-based experiments will be time dependent due
to the orbital motion of the space-based detectors. The shape of
this time dependence is predictable given the orbital information of
the detectors. Since the high-energy CR electron (with energy
E > 100 GeV) fluxes are expected to be constant in time,
non-observation of such time variation can be used to place upper
limits on the DM annihilation cross section. We analyze the time
dependence of dark matter cosmic-ray signals in three space-based
experiments: AMS-02, DAMPE and CALET. Under the assumption that no
time dependent signal is observed, we derive the 95% C.L. exclusion
limits on the signal strength from the current data. We map our
limits onto the parameter space of the dark photon model and find
that the constraints are comparable with that derived from the
supernova SN1987A.
Effects of relativistic parameter sets on tidal deformabilities and f-mode oscillations of neutron stars
Authors: Hong Bin , Mu Xue-Ling 
Published: April 2022

Abstract
The implications of relativistic parameter sets established at saturation density on the tidal deformabilities and f-mode oscillations of neutron stars (NSs) are examined using constraints from the gravitational wave (GW) event GW170817 and NICER. According to our findings, the isovector saturation parameters have a greater impact on the radii and tidal deformabilities of NSs than the isoscalar saturation parameters. Our analysis also examines the impact of saturation properties on f-mode frequencies and finds that f-mode frequencies with 1.4 M
⊙ (solar mass) are roughly between 1.95 and 2.15 kHz. These findings could be confirmed by future advanced GW detectors. A good linear parameter-independent correlation between f-mode frequencies inferred from saturation parameters in the entire region is also observed, and we attempt to fit an updated version of this universal relationship. Furthermore, we used chiral effective theory (χ
EFT) together with the multi-messenger astronomy constraints to further reinforce the rationality of the conclusions we have reached.
Focusing effects during ultrashort-pulse laser ablative generation of colloidal nanoparticles for antibacterial applications
Authors: Nastulyavichus Alena , Kudryashov Sergey , Ionin Andrey , Yushina Yulia , Semenova Anastasia , Gonchukov Sergey 
Published: April 2022

Abstract
Ultrashort (femto-picosecond) laser pulses with supercritical peak pulse powers undergo self-focusing and multiple filamentation during their propagation in transparent media. In this work, a comparative study of propagation and position-dependent ablation of a gold target in water by 0.3 ps and 10 ps 1030 nm laser pulses was performed. The filamentary laser propagation was visualized in water by the corresponding pre-focal plasma channels. The position-dependent ablative optical density yield of colloidal solutions and target mass loss along the filamentary tracks in water were characterized, for the first time enabling straightforward enhancement of colloidal generation for anti-bacterial, biomedical and nanophotonics applications.
SleepSEEG: automatic sleep scoring using intracranial EEG recordings only
Authors: von Ellenrieder Nicolás , Peter-Derex Laure , Gotman Jean , Frauscher Birgit 
Published: April 2022

Abstract

Objective. To perform automatic sleep scoring based only on intracranial electroencephalography (iEEG), without the need for scalp EEG), electrooculography (EOG) and electromyography (EMG), in order to study sleep, epilepsy, and their interaction. Approach. Data from 33 adult patients was used for development and training of the automatic scoring algorithm using both oscillatory and non-oscillatory spectral features. The first step consisted in unsupervised clustering of channels based on feature variability. For each cluster the classification was done in two steps, a multiclass tree followed by binary classification trees to distinguish the more challenging stage N1. The test data consisted in 11 patients, in whom the classification was done independently for each channel and then combined to get a single stage per epoch. Main results. An overall agreement of 78% was observed in the test set between the sleep scoring of the algorithm using iEEG alone and two human experts scoring based on scalp EEG, EOG and EMG. Balanced sensitivity and specificity were obtained for the different sleep stages. The performance was excellent for stages W, N2, and N3, and good for stage R, but with high variability across patients. The performance for the challenging stage N1 was poor, but at a similar level as for published algorithms based on scalp EEG. High confidence epochs in different stages (other than N1) can be identified with median per patient specificity >80%. Significance. The automatic algorithm can perform sleep scoring of long-term recordings of patients with intracranial electrodes undergoing presurgical evaluation in the absence of scalp EEG, EOG and EMG, which are normally required to define sleep stages but are difficult to use in the context of intracerebral studies. It also constitutes a valuable tool to generate hypotheses regarding local aspects of sleep, and will be significant for sleep evaluation in clinical epileptology and neuroscience research.
On the Variety Determination Model of Fighter Aircraft Carrying Spare Parts Kit
Authors: Li Hao , Guo Jing , Qiao Li , Xu Changkai , Liu Shenyang 
Published: April 2022

Abstract
In the performance of redeployment, rotation training, shooting, combat and other tasks, it is necessary to carry certain spare parts to support the fighter aircrafts. Reasonable configuration of carrying kit is an important subject of the aviation material support research. This paper, based on the five main indexes as the importance, failure rate, demand rate, economy and maintainability of the item to be carried, determines the weight of the evaluation index with entropy method, establishes the TOPSIS-Grey relational evaluation model, calculates and prioritizes the carrying degree of each item through examples. Results show that this model provides a scientific and practical method for determining the variety of carrying spare parts kit for fighter aircrafts.
A Tailoring Method between Random Vibration and Acoustic Test Based on Area-Mass Ratio for Satellite
Authors: Changxun Li , Tingfei Yan , Haiyang Gao , Chuang Liu , Shuhong Xiang , Guiqian Fang , Yicun Xie 
Published: April 2022

Abstract
Dynamic environmental tests for a spacecraft are essential in the development stage. In the series of dynamic tests, acoustic test and random vibration test are recognized as two effective spacecraft environmental qualification programs. The current standard and existing technical process for spacecraft indicate that acoustic test and random vibration generally should perform selectively. The vibration test shall be conducted for a small, compact spacecraft, typically with a mass under 450 kilograms, that can be excited more effectively via interface vibration than by an acoustic field. However, it seems inappropriate for complex structure satellites such as lightweight design, large area antenna, large mask camera. In this paper, a tailoring method of random vibration and acoustic test is proposed and verified by simulation analysis and test data.
Transient numerical simulation of flame combustion instabilities in a liquid-jet-fuel
Authors: Meng Nan , Li Feng , Jin Yehan 
Published: April 2022

Abstract
Liquid fuel jet combustion, which plays an important guiding role in the field of aviation, automotive, is widely used in engineering equipment. Therefore, this paper mainly conducts on the study of its combustion characteristics, which analyses the influence of transient numerical simulations of flame combustion instability on the flame combustion instability in a liquid-jet-fuel. In addition, the simulations are also adopted by the Favre-filtered conservation equations, including three dimensions mass, momentum and energy conservation equations. Moreover, the effects of different inlet velocities on flame height and flame flutter in the flow field shows unstable explicitly. In addition, the time from the beginning to the stabilization of the jet flame is analyzed by comparing the flame height and flame shape at different moments.
Research on Latching Current Limiter Circuit of Aerospace Power System
Authors: Duan Yonghui , Shen Ang , Wang Xinzheng , Xu Jie , He Jiaojiao 
Published: April 2022

Abstract
The input terminal of the aerospace power system is connected with surge suppression and overcurrent protection circuits. However, prior art methods have many demerits such as complex circuits, high surge currents, and slow response of overcurrent protection. Hence, this paper proposes a novel latching current limiter (LCL) circuit with both surge suppression and over-current protection functions. When over-current occurs, the circuit snap into the current limiting state within the adjustable time-delay period. When the over-current fault despairs during the time-delay period, the LCL circuit turns into the output lock state and rapidly lock down the output bus wire. Theoretical analysis of LCL circuit including the three operation states (i.e., the normal operation state, current limiting state and output lock state) and basic circuit equation derivation have been carried out. And the experimental platform is set up to validate the superior performance of the proposed LCL circuit. Results show that the proposed LCL circuit can effectively suppress the inrush current and sensitively respond the over-current fault of dc-link bus wire.
Reliability-based Design Optimization of Structures with Disturbed Design Variables and Dependent Uncertainties
Authors: Guan Bobin , Wan Min , Wu Xiangdong 
Published: April 2022

Abstract
To ensure the safety of engineering structures under disturbed design variables and dependent uncertainties, a new reliability-based design optimization method was proposed in this paper. The optimization model was firstly established by adding the additional constraints that considers the disturbance of design variables. Then, the multidimensional parallelepiped model was used to describe the uncertainties and to further process their correlation. Further, the structural reliability was analyzed by interval analysis and reliability-based possibility degree of interval model. Finally, the solving algorithm was constructed. Such the algorithm was applied to a numerical example and the structural design of augmented reality glasses, among which the former demonstrated the effectiveness of proposed algorithm in dealing with disturbance of design variables and correlation between uncertainties, while the latter showed the applicability of the algorithm in engineering structural design.
Preparation of 4,6-Dinitro-7-Oxygen-Benzofuraxan Sodium Salt (Nadnp) by “One-Pot” Method
Authors: Zhang Shixin , Xie Zhanfeng , Chen Likui , Dang Pengyang 
Published: April 2022

Abstract
4, 6-dinitro-7-oxygen-benzofuraxan sodium salt (NaDNP) was synthesized from 3-bromo-2, 4, 6-trinitroanisole and sodium azide by Substitution reaction and Cyclization reaction in water with an overall yield of 78%. Its structure was characterized by 1NMR, 13C NMR and IR, and its thermal properties were studied by Differential Scanning Calorimetry. The sensitivity performance was studied by impact sensitivity, flame sensitivity and electrostatic spark sensitivity. The results show that the DSC peak value of the sample is 282.45 °C under the protection of nitrogen when the heating rate is 10 °C / min. The impact sensitivity H50 is 38.2m, the flame sensitivity H50 is 13.6cm, and the electrostatic sensitivity E50 is 0.51J. Compare with LTNR, NaDNP is an insensitive new type of primary explosive.
A knowledge representation based recognition method on power grid alarm monitoring data
Authors: Xiaohui Pan , Yang Zhao , Guang Chen , Qing Fan 
Published: April 2022

Abstract
The identification of power grid monitoring and alarm information is an essential guarantee for the stable operation of the power grid. Identifying current power grid alarms is based on an expert rule system. This method has the problems of cumbersome rule matching, difficulty in maintaining the rule base, and low matching efficiency. In order to solve the above problems, this paper proposes a method of identifying power grid monitoring and warning information based on knowledge representation. The method first uses grid topology information to construct a knowledge graph. It then uses knowledge representation learning algorithms to represent the power knowledge graph which digitally represents the textual warning information, and finally uses a series of deep learning models to identify ”alarm-event.” This paper uses six algorithms, such as TransE for knowledge representation, combined with three deep learning models such as ConvLSTM for identification. The verification shows that this method has specific ”alarm-event” identification capabilities based on actual power grid monitoring data.
A Wind Farm Power Control Strategy for Dust Content in Wind Turbine Cabin
Authors: Wang Rujia , Yang Weifeng 
Published: April 2022

Abstract
To balance the benefit of dust content and the negative influence of fatigue load due to the wake flow effect in wind farms, a wind farm power control strategy for dust content in the wind turbine cabin is proposed and the fatigue load is also taken into account. A wind farm active power optimization control model is established by deriving the linear relationship between the active power of wind turbines, the wake flow fluctuation, the dust content in the cabin, and the fatigue load of wind turbines. Then, by coordinating the active power between wind turbines, the active power output requirement of wind farms is demanded, and the dust content and fatigue load can be effectively controlled. To verify the effectiveness of the proposed control strategy, an IEEE-RTS 79 test system is established in this paper, and wind farms will be controlled to participate in the system frequency regulation.
R&D of Relay Aging State Monitoring Device Based on Electromagnetic Signal
Authors: Tao Zhang , Haining Shi , Tang Tang , Tao Liu , Wei Wei , Yingjie Wang 
Published: April 2022

Abstract
Relays are the key components in the operation of nuclear power plants. There are many kinds, large quantity and high failure rate of relays in nuclear power plants, which are the difficulties in on-site maintenance and equipment management. There is no effective method and equipment to judge the aging state of relays on site, so only passive maintenance and replacement strategy can be adopted. The device developed in this paper uses space electromagnetic wave detection technology to monitor the aging status of relay on line, which provides a new way for the aging status evaluation and failure diagnosis of relay in service. The preliminary test results also show that the device has the potential to solve the key technology of relay maintenance activities in nuclear power field and realize relay aging management and predictive maintenance.
3D Cloud Rendering Visualization based on Nuclear Power Industrial Internet
Authors: Zhang Fan , Zhang Hao , Luo Ying , Xu Kui 
Published: April 2022

Abstract
Industrial Internet is a new generation of information and communication technology, which is a deep integration of industrial economy with new infrastructure, application mode and industrial ecology. As the development of nuclear power industry, it raises many demands on the use of industrial internet. China National Nuclear Power has been devoted to constructing the Nuclear Power Industrial Internet since 2018. Many of its business and process needs 3D visualizationto demonstrate the real-time operating data. Therefore, a cloud rendering technical proposal is designed to realize this purpose. The configuration and working flow of the cloud rendering are described in detail. Finally, a use-case is applied to verify the technical proposal. Some future work for improvement is given.
An efficient video transcoding algorithm from h.264 to hevc
Authors: Xin Longkun , Zhang Yang 
Published: April 2022

Abstract
Video transcoding method usually reduces coding complexity with the cost of reducing coding efficiency. It is necessary to design a video transcoder can achieve a better trade-off between coding efficiency and complexity. This paper proposes an efficient video transcoder based on improved rate distortion optimization and improved motion vector (MV) reuse. First, we use an improved temporal dependent rate distortion optimization method to implement rate-distortion optimization (RDO) at the level of Coding Tree Units (CTUs). Second, we use improved motion vector reuse (IMVR) to reduce the complexity of encoding. Experimental results have shown that the proposed method can achieve an average reduction of 38.4% in the transcoding time with the cost of 0.6% BDBR increase compared with HEVC Test Model (HM) 16.9 encoder. It verifies that the proposed method can achieve a better trade-off between coding efficiency and complexity compared with existing transcoding methods.
A Method of Attention Analysis on Video
Authors: Li Wanping , Wu Jiajie , Yin Kuiying , Jiang Guang , Yu Chao , Li Lanyu 
Published: April 2022

Abstract
Attention monitoring system is important for various tasks such as driving by alarming the person when he or she is not attending to the task at hand. Past research has not explored a usable attention monitoring system. In the current study, we used eye trackers, depth camera, and infrared cameras to assess the attention of the participants as they read texts. We extracted features from eye tracking and camera data, and then used convolutional neural network to predict the attention state of the participants. We found the eye tracker data yielded a 90% accuracy in predicting attentional state of the subjects. The camera data yielded over 70% accuracy in prediction.
Application prospect of time-sensitive network in airborne communication network
Authors: Dai Jun , Li Chunxiao , Wang Kenian , Zhao Changxiao 
Published: April 2022

Abstract
TSN (Time Sensitive Network) is a real-time Network communication technology being promoted by the international industry. It has the characteristics of more flexibility and high real-time performance. This paper firstly introduces the background of airborne network and real-time network. Then, TSN and the mainstream airborne communication network technology are compared and analyzed from the aspects of synchronization mechanism, scheduling strategy, redundancy and reliability mechanism. Finally, the prospect of TSN in the field of civil aviation is analyzed in general, which makes the application route of TSN in the airborne communication network more clear.
Research on the Application of Acoustic Simulation Based on iNoise in the Evaluation of Factory Boundary Noise
Authors: Wan Yupeng , Zhou Yuanbo , Yu Mingli , Yi Gaojun 
Published: April 2022

Abstract
The acoustic simulation platform iNoise is a simulation software released by Dutch DGMR company for industrial noise in recent years. So far, the research on the applicability verification of this simulation platform and the related research of this platform to guide the specific engineering quality have not been found in China. Taking the noise control project of a natural gas purification plant as an example, this paper makes a three-dimensional modeling and simulation analysis of the boundary noise of the plant by using the new platform. The applicability of the new acoustic simulation software has been preliminarily verified from the acceptance test results of this application case. In this project, the platform can realize the basic functions of the traditional noise simulation software. The platform can normally carry out noise reduction design and noise prediction and achieve ideal results.
Analysis of the Vorticity and Divergence Characteristics of Ocean Surface Currents During the Typhoon Period
Authors: Zhiben Shen , Jianwei Wu , Yun Wang , Liang Peng , Hong Yin 
Published: April 2022

Abstract
The analysis of the vorticity and divergence characteristics of ocean surface currents to the typhoon Lionrock is analyzed using six days’ currents data measured by high frequency surface wave radar (HFSWR) in the south-western Taiwan Straits. Analysis shows that significant changes of ocean surface currents are captured by HFSWR during the typhoon period. Nearly doubled vorticity and divergence values are induced by Lionrock. Strong anti-clockwise rotated vorticity values are observed during the typhoon period. And greatly strengthened positive divergence is also captured at the central observation area of the typhoon period.