bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on global calibration technology of pressure sensitive paint based on airtight chamber
Authors: Shang Jinkui , Zhao Ronghuan , Xu Zhaonan , Zhong Hongjie 
Published: November 2022

Abstract
Pressure sensitive paint (PSP) technology has been widely applied in wind-tunnel test. Generally, PSP calibration data are obtained using a calibration sample in laboratory priori calibration device, which the sample is sprayed at the same time with the test model.In this study, taking the real test model as the calibration object, a global calibration technology of PSP coating on the surface of the test model is proposed, which is verified in the airtight chamber, and the effective PSP calibration data are obtained. A two-component fast response PSP coating was used in the study. In the validation test, a flying wing model is used, the flying wing model sprayed with PSP coating was placed in the airtight chamber. 11 groups of calibration tests were carried out in the environment of 0.06 MPa ~ 0.14 MPa and 30°C ~50°C, and the calibration curves obtained showed good consistency.
Physical and Chemical Analysis of Contact Points of relay on EMU
Authors: Sun Ping , Zhang Junying , Dong Anji , Zhang Lei , Wang Wenjun , Wu Nan , Dou Abo 
Published: November 2022

Abstract
Electromagnetic relay is an essential part in electric control system on EMU. Because of frequent operation of on-off, external vibration, temperature rising and corrosive gas, etc when the EMU is in operation may cause wear and oxidation of the surface of contact points. Therefore, the electrical contact resistance increased, which cause contact electrical performance failure. The scanning electron microscopy (SEM), Fourier transform infrared spectroscopy (FT-IR) was used to observe and measure the surface and section of contact points. The experimental result shows that the surface layer wear and contained phosphate and the section contained O, F, S, P, Ag, Ni elements. Thereafter the mechanism of efficacy losing of electromagnetic relay was discussed.
Application Research of Civil Aviation High Frequency Communication System
Authors: Si Kaikai , Lu Qing , Guo Xiaoyan , Gao Bin 
Published: November 2022

Abstract
High frequency communication system is an important part of civil aviation radio communication system. This paper introduces the typical structure and function of civil aircraft high frequency communication system. Discussing the high frequency system architecture mainly and introducing the components of aircraft high frequency transceiver, high frequency coupler and antenna in detail. This paper discusses its principle and function, so as to provide some reference for the design of civil aviation high frequency communication system.
The Bellows Designing Method of Divided Working Conditions for Launch Vehicle
Authors: Zhang Yi , Li Xu , Wang CongFei , Huang Wei , Shi Gang , Wang Yi 
Published: November 2022

Abstract
The working environment of the pipeline system of the launch vehicle is very complex. Bellows in piping system should endure high temperature, corrosive medium, vibration and other conditions, which require for high reliability. However, due to the restrictions of fixed location, weight reduce requirement, the number and location of bellows are strictly required. There is a great difference for the bellows design method between the launch vehicle and the ground pipeline. In this paper, a bellows designing method for launch vehicle is introduced in detail. The method calculates the compensation amount of bellows under divided working conditions, and checks the fatigue damage coefficient as the main failure judgement basis. It has been proved by practice that the designing method of divided working conditions can solve the design problems of the bellows of launch vehicles effectively.
Dynamic pressure-based rocket PID parameters adaptive adjustment method and application
Authors: Zhao Meng , Zhang Yifan , Tao Zhengxin , Liu Yiyue , Li Runqi , Peng Ke 
Published: November 2022

Abstract
This paper establishes a dynamic pressure-based PID parameter adjustment method, which uses the function of the ratio of the maximum dynamic pressure of the rocket to the actual dynamic pressure of the current flight to correct the rocket control parameters. Compared with the traditional time-based PID parameter gain scheduling method, the number of PID parameters to be adjusted is significantly reduced from nearly 50 to 10, and the adjustment complexity is significantly reduced. Based on the method in this paper, the PID parameter debugging of the attitude control of a model-guided rocket is completed. The six-degree-of-freedom ballistic simulation results show that the control law obtained by the method in this paper meets the requirements of the attitude control of the model-guided rocket, and is superior to the traditional time-based PID parameter gain adjustment method in terms of response rate.
The category of black holes and state-of-art detection scenarios
Authors: Peng Zhenyu 
Published: November 2022

AbstractThe existence of black holes has been proposed for more than two centuries. Contemporarily, plenty of milestones have been achieved in this field, e.g., the first image of the black holes and the launch of the James Webb Space Telescope. This paper focuses on the organization of recent achievements in this field including three main parts: the history and fundamental concepts of the black holes; the classification of different black holes through their physical qualities; and progresses in this decade. These results shed light on the technical developments of the ability to detect black holes, which is beneficial to further research in the future.
Numerical study of air-breathing two-phase rotating detonation engine under Ma 6 flight conditions
Authors: Yan Chenglong , Lin Wei , Shu Chen , Zhi Yue , He Wei 
Published: November 2022

Abstract
Air-breathing two-phase rotating detonation engines possess high thermodynamic cycle efficiency and have attracted extensive attention in domain of wide range flight aircraft. In this study, an engine configuration is proposed, and the corresponding numerical model is established using the Euler-Lagrange method. The engine type is suitable for flying at an altitude of 28 kilometers and a flying speed of Ma 6. Our data show that the engine operates primarily in chaos in this flight state. The peak pressure of the detonation wave is about 0.85 MPa, the peak temperature of the detonation wave is about 4500 K, the average thrust of the engine is 2637 N, and the average fuel-specific impulse is about 2989 s.
Numerical Simulation of Jet Interaction Flow Field with Different Flow Rates
Authors: Liu Yuwei , Wang Xinchen , Li Kangkang , Liu Yaofeng 
Published: November 2022

Abstract
In this paper, the complex disturbance flow caused by the interaction of jets with different flow rates and hypersonic incoming flow on a cone-cylinder-skirt of revolution is numerically studied, the typical shock wave structure and the influence range caused by the jet interaction are given, and the effect of the jet flow rate on the interaction flow field is discussed. The results show that the interaction between the jet flow and the incoming flow increases with the rise of the jet flow rate, and the influence range of the wrapping effect enlarges. If the jet flow rate is equivalent to the incoming flow rate, the leading edge separation line forms a closed loop.
Classification of Schmidt-rank-two multipartite unitary gates by singular number
Authors: Shen Yi , Chen Lin , Yu Li 
Published: November 2022

Abstract
The multipartite unitary gates are called genuine if they are not product unitary operators across any bipartition. We mainly investigate the classification of genuine multipartite unitary gates of Schmidt rank two (SR-2), by focusing on the multiqubit scenario. For genuine multipartite (excluding bipartite) unitary gates of SR-2, there is an essential fact that their Schmidt decompositions are unique. Based on this fact, we propose a key notion named as singular number (SN) to classify the unitary gates concerned. The SN is defined as the number of local singular operators in the Schmidt decomposition. We then determine the accurate range of SN. For each SN, we formulate the parametric Schmidt decompositions of genuine multiqubit unitary gates under local equivalence. Finally, we extend the study to three-qubit diagonal unitary gates due to the close relation between diagonal unitary gates and SR-2 unitaries. We start with discussing two typical examples of SR-2, one of which is a fundamental three-qubit unitary gate, i.e. the CCZ gate. Then we characterize the diagonal unitary gates of SR greater than two. We show that a three-qubit diagonal unitary gate has SR at most three, and present a necessary and sufficient condition for such a unitary gate of SR-3. This completes the characterization of all genuine three-qubit diagonal unitary gates.
Prevalence and Level of Occupational Exposure to Asbestos in Canada in 2016
Authors: Fenton Shelby , Rydz Ela , Demers Paul A , Peters Cheryl E 
Published: November 2022

Abstract

Objective
Asbestos use has decreased over time but occupational exposure still exists today due to the presence of asbestos in older buildings. The objective of this study was to update CAREX Canada’s prevalence of exposure estimate from 2006 to 2016, and to assess the level of occupational exposure by industry, occupation, province/territory, and sex.

Methods
Estimates by occupation, industry, province/territory, and sex were calculated using labor force data from the 2016 Census of Population and proportions of workers exposed by occupation and industry, which were previously developed for the 2006 estimates and updated here to reflect new knowledge and changes in exposures. Statistics Canada concordance tables were used to account for changes between the 2006 and 2016 job and industry coding systems. Expert assessment was used to qualitatively assign levels of exposure (low, moderate, or high) for each occupation and industry, with consideration of workers’ proximity and access to asbestos-containing material, and the condition and content of asbestos.

Results
Approximately 235 000 workers are exposed to asbestos on the job in Canada. The majority of Canadian workers exposed to asbestos are male (89%). Only 5% of all exposed workers are in the high-exposure category, while most workers are in the low (49%) or moderate (46%) exposure categories. The construction sector and associated jobs (e.g. carpenters, trades helpers and laborers, electricians) accounted for the majority of exposed workers.

Conclusions
Occupational exposure to asbestos continues to occur in Canada. Updating the prevalence of exposure estimate and adding exposure levels highlights the shift from high to lower-lever exposures associated with asbestos-containing materials remaining in the built environment.
On international arbitration, choice of substantive law, and the CISG: a case law study
Authors: Favero Vaughn Gustavo , Duggal Kabir 
Published: November 2022

Abstract
This article analyses past arbitral decisions concerning disputes related to the international sale of goods. It also explores when and how arbitrators should apply the CISG as the substantive law to resolve the merits of these disputes. This article takes into account three different scenarios in determining the applicable substantive law: (i) when parties choose the applicable substantive law; (ii) when there is no choice of law by the parties, and the arbitrators apply the indirect method; and (iii) when there is no choice of law by the parties, the arbitrators apply the direct method. In a nutshell, it is our submission that arbitrators’ should respect the laws chosen by the parties and, if the CISG applies by virtue of this choice, then arbitrators should not circumvent the use of the CISG.
In silico versus functional characterization of genetic variants: lessons from muscle channelopathies
Authors: Vivekanandam Vinojini , Ellmers Rebecca , Jayaseelan Dipa , Houlden Henry , Männikkö Roope , Hanna Michael G 
Published: November 2022

Abstract
Accurate determination of the pathogenicity of missense genetic variants of uncertain significance is a huge challenge for implementing genetic data in clinical practice. In silico predictive tools are used to score variants’ pathogenicity. However, their value in clinical settings is often unclear, as they have not usually been validated against robust functional assays. We compared nine widely used in silico predictive tools, including more recently developed tools (EVE and REVEL) with detailed cell-based electrophysiology, for 126 CLCN1 variants discovered in patients with the skeletal muscle channelopathy myotonia congenita. We found poor accuracy for most tools. The highest accuracy was obtained with MutationTaster (84.58%) and REVEL (82.54%). Both of these scores showed poor specificity, although specificity was better using EVE. Combining methods based on concordance improved performance overall but still lacked specificity. Our calculated statistics for the predictive tools were different to reported values for other genes in the literature, suggesting that the utility of the tools varies between genes. Overall, current predictive tools for this chloride channel are not reliable for clinical use, and tools with better specificity are urgently required. Improving the accuracy of predictive tools is a wider issue and a huge challenge for effective clinical implementation of genetic data.
Cytomegalovirus infection is associated with rapid NK differentiation and reduced incidence of relapse in HLA matched sibling donor transplant patients
Authors: Han Tingting , Xie Juan , Zhao Xiaosu , Lv Meng , Chang Yingjun , Xu Lanping , Wang Yu , Zhang Xiaohui , Liu Kaiyan , Huang Xiao-Jun , Zhao Xiang-Yu 
Published: November 2022

Abstract
The effect of cytomegalovirus (CMV) infection on leukemia relapse and the potential mechanism remains controversial. In this retrospective study, we evaluated the association among CMV infection, NK reconstitution and clinical outcomes in consecutive patients with hematologic malignancy who underwent HLA matched sibling donor transplantation (MST). In total, 228 patients were enrolled in the study between January 2010 and December 2011. The cumulative incidence of CMV infection on day 100 post-HSCT was 13.6 ± 4.9%. The probabilities of OS and DFS were 45.4% vs. 71.7% (P = 0.004) and 43.9% vs. 64.2% (P = 0.050) in the patients with CMV infection and without CMV infection, respectively. The cumulative incidence of treatment-related mortality (TRM) and relapse at 5 years was 48.6 ± 9.6% vs. 11.5 ± 2.9% (P &lt; 0.001) and 6.2 ± 4.3% vs. 29.2 ± 3.9% (P = 0.024) in the patients with CMV infection and without CMV infection, respectively. In the multivariate analysis, CMV infection was associated with higher TRM, lower OS, and lower DFS. In addition, we found that CMV infection may promote the recovery of the absolute number of NK cells and promote the differentiation of NK cells post-MST. In conclusion, CMV infection may promote the recovery and differentiation of NK cells and was correlated with a lower relapse rate post-MST.
Moral hazard in the British bovine tuberculosis control programme
Authors: Scheitrum Daniel P , Schaefer K Aleks , van Winden Steven 
Published: November 2022

Abstract
Animal disease indemnity payments create a moral hazard problem by diminishing the financial burden of on-farm infection which, in turn, can reduce private incentives to invest in biosecurity. The economic importance of the moral hazard problem is a function of the size of the indemnity payment relative to market prices and input costs, as well as farm-specific disease risks and the probability that biosecurity efforts can reduce those risks. We investigate the importance of these contributory factors on disease outcomes in the context of the British bovine tuberculosis control programme using longitudinal herd-level data for all beef cattle herds in Great Britain. We show that, by disincentivising biosecurity investment, increases in disease indemnity payments lead to more on-farm breakdowns, increase the number of on-farm disease reactors and extend the duration of infection. Our findings suggest that the disease burden created through these unintended consequences accounts for approximately one-fourth of the additional programme outlays associated with a 10% increase in the per-head indemnity payment.
Microcontextual considerations in ouster clause analysis: A comparative study of parallel trends in the United Kingdom and Singapore
Authors: Chng Kenny 
Published: November 2022

Abstract
The classic legal approach to legislative ouster clauses in the common law was articulated by the House of Lords in Anisminic Ltd. v. Foreign Compensation Commission. However, recent developments in both the United Kingdom and Singapore indicate a judicial desire to shift away from that approach towards a more flexible analysis of an ouster clause’s effect, centered on the rule of law. This article highlights the significance of those parallel developments, especially given the starkly differing constitutional contexts shaping the approach to ouster clauses in the two jurisdictions. Capitalizing on these trends, it proposes a comparative assessment of the materiality of various microcontextual considerations in ouster clause analysis in the two jurisdictions—considerations such as the nature of the subject matter and the characteristics of the decision-maker—and inquires into the normative implications in each jurisdiction of these developments in ouster clause doctrine.
Successful Long-Term Aspirin Desensitization in a Pilot With Aspirin-Exacerbated Respiratory Disease
Authors: Pacheco Curtis S , Brooks Robert M , White Kevin M 
Published: November 2022

ABSTRACT
Aspirin-exacerbated respiratory disease (AERD) is a triad of asthma, chronic rhinosinusitis with nasal polyposis (CRSwNP), and adverse respiratory reactions to the ingestion of aspirin/non-steroidal anti-inflammatory drugs.1 Patients with AERD are frequently plagued with CRSwNP that is difficult to manage with systemic steroids, nasal steroids, and surgical polypectomy, often requiring multiple endoscopic sinus surgeries and frequent otolaryngology follow-up.2,3 There are an abundance of therapies to treat CRSwNP in the setting of AERD, all with varying costs, efficacies, and indications for treatment.4 While limited by side effect profile, aspirin desensitization remains an effective, low-cost treatment for patients with CRSwNP and non-steroidal anti-inflammatory drug sensitivity.5 We describe a case of an active duty U.S. Air Force pilot with AERD whose CRSwNP was successfully treated with aspirin desensitization without detrimental effect on his flying status.
Towards optimal foreground mitigation strategies for interferometric H i intensity mapping in the low-redshift Universe
Authors: Chen Zhaoting , Wolz Laura , Battye Richard 
Published: November 2022

Abstract
We conduct the first case study towards developing optimal foreground mitigation strategies for neutral hydrogen (H i) intensity mapping using radio interferometers at low redshifts. A pipeline for simulation, foreground mitigation, and power spectrum estimation is built, which can be used for ongoing and future surveys using MeerKAT and Square Kilometre Array Observatory. It simulates realistic sky signals to generate visibility data-given instrument and observation specifications, which is subsequently used to perform foreground mitigation and power spectrum estimation. A quadratic estimator formalism is developed to estimate the temperature power spectrum in visibility space. Using MeerKAT telescope specifications for observations in the redshift range, $z$ ∼ 0.25–0.30, corresponding to the MeerKAT International GHz Tiered Extragalactic Exploration (MIGHTEE) survey, we present a case study, where we compare different approaches of foreground mitigation. We find that component separation in visibility space provides a more accurate estimation of H i clustering when compared with foreground avoidance, with the uncertainties being 30 per cent smaller. Power spectrum estimation from image is found to be less robust with larger bias and more information loss when compared with estimation in visibility. We conclude that for the considered sub-band of $z$ ∼ 0.25–0.30, the MIGHTEE survey will be capable of measuring the H i power spectrum from $k\sim 0.5$ to $k\sim 10\, {\rm Mpc^{-1}}$ with signal-to-noise ratio being ∼3. We are the first to show that, at low redshift, component separation in visibility space suppresses foreground contamination at large line-of-sight scales, allowing measurement of H i power spectrum closer to the foreground wedge, crucial for data analysis towards future detections.
Data mining techniques on astronomical spectra data – II. Classification analysis
Authors: Yang Haifeng , Zhou Lichan , Cai Jianghui , Shi Chenhui , Yang Yuqing , Zhao Xujun , Duan Juncheng , Yin Xiaona 
Published: November 2022

ABSTRACT
Classification is valuable and necessary in spectral analysis, especially for data-driven mining. Along with the rapid development of spectral surveys, a variety of classification techniques have been successfully applied to astronomical data processing. However, it is difficult to select an appropriate classification method in practical scenarios due to the different algorithmic ideas and data characteristics. Here, we present the second work in the data mining series – a review of spectral classification techniques. This work also consists of three parts: a systematic overview of current literature, experimental analyses of commonly used classification algorithms, and source codes used in this paper. First, we carefully investigate the current classification methods in astronomical literature and organize these methods into ten types based on their algorithmic ideas. For each type of algorithm, the analysis is organized from the following three perspectives. (1) their current applications and usage frequencies in spectral classification are summarized; (2) their basic ideas are introduced and preliminarily analysed; (3) the advantages and caveats of each type of algorithm are discussed. Secondly, the classification performance of different algorithms on the unified data sets is analysed. Experimental data are selected from the LAMOST survey and SDSS survey. Six groups of spectral data sets are designed from data characteristics, data qualities, and data volumes to examine the performance of these algorithms. Then the scores of nine basic algorithms are shown and discussed in the experimental analysis. Finally, nine basic algorithms source codes written in python and manuals for usage and improvement are provided.