bluuebunny/crossref_metadata_2025_split huggingface dataset:
Effects of Blended Biodiesel Coupled with Miller Cycle on Combustion and Emissions of Marine Diesel Engines
Authors: Zhang Feifei , Lin Hang , Wang Qiwei , Chen Jian , Ye Zixiao , Fan Jinyu , Li Pinfang , Huang Jialiang 
Published: February 2023

Abstract
In order to study the effect of blended biodiesel coupled Miller cycle technology on the combustion and emission performance of diesel engine, the 4190 diesel engine was simulated by AVL-FIRE software. The Miller degree and different blending ratios of biodiesel are simulated and analyzed. The results show that: under the same Miller degree, with the increase of the blending ratio, the explosion pressure decreases significantly, the cylinder temperature decreases, the CO emission decreases significantly, and the NO emission increases. Soot emissions have dropped significantly. Under the same blending ratio, with the increase of Miller degree, the explosion pressure increases, the cylinder temperature decreases gradually but not obviously, the CO emission decreases, the NO emission increases first and then decreases, and the Soot emission decreases. Therefore, selecting the appropriate blending ratio and Miller degree can better reduce NO emissions, and at the same time have a better inhibitory effect on the generation of Soot and CO, and the power performance of the diesel engine is slightly improved. The results of this study provide a solution for the practical application of biodiesel.
Preparation and Photocatalysis Characteristics of Flower-like ZnO by Microwave Method
Authors: Cai Yungao , Huang Jinwen 
Published: February 2023

Abstract
Flower-like ZnO was prepared by a simple and efficient microwave method at different microwave times. The effect of microwave time on the structure and morphology of the flower-like ZnO was analyzed systematically by XRD, SEM, PL and other equipment, the photocatalysis properties of flower-like ZnO were analyzed systematically through the degradation effect of ZnO on methyl orange. With the increase of microwave time, the shape of flower-ZnO was changed, it was bud at 10 min, then became flower-like gradually, and stacked reunion at 40 min. photoluminescence results showed green emission peaks at 536nm, photoluminescence intensity of ZnO prepared at 20 min was weakest, the photocatalytic efficiency of ZnO were not the same at different times, photocatalytic efficiency of ZnO prepared at 20 min and 40 min were 67% and 58.3% respectively, and photocatalytic efficiency of ZnO prepared at 10 min, 15 min, 30 min were 86.7%, 87.1%, 82.1% respectively.
Forming Mechanism Analysis for an Aircraft Titanium Alloy Tubular Form-fit Joint Fabricated by Internal Rolling
Authors: Cao Jindou , Yang Jingchao , Hu Shitian , Men Xiangnan , Cui Baojin , Yu Jinping , Yang Yan , Fang Senpeng 
Published: February 2023

Abstract
Titanium alloy tubular form-fit joints formed by internal rolling have the advantages of high-pressure resistance and high reliability, and it is a promising technology to prevent the leakage occurred in aircraft pipeline system. Based on the material modeling for the joined titanium alloy tube and process modeling for the internal rolling, this paper established finite element models to simulate the whole forming process of tubular form-fit joint with loading and unloading. According to the simulation results, the distribution characteristics of stress and plastic strain along two axial paths were analyzed under different forming parameters. Finally, a reasonable ranges of process window were obtained, which are 0.27~0.3mm of rolling depth and 63~68 in•lbs of roller torque.
Facile Preparation of Superhydrophobic and Flame-Retardant Cotton Fabrics
Authors: Yu Luyan , Xiong Ying , Zou Longkun , Zhao Yuhui , Li Shiwei , Bi Shuguang 
Published: February 2023

Abstract
The cotton textiles with superhydrophobic and flame-retardant properties used in this study were manufactured by combining nano APP@SiO2 with silicone oil. To generate nano APP@SiO2 particles, the APP is coated with nano SiO2. The nano APP@SiO2 improves the flame retardancy of cotton textiles while altering the surface roughness of cotton fabrics, making them superhydrophobic after being treated with silicone oil. Cotton fabrics’ surface topography, chemical components, crystalline structure, thermal stability, flame-retardant, and superhydrophobic properties were investigated. The modified cotton fabric demonstrated not only exceptional superhydrophobicity with a WCA of 151.28°, but also good flame-retardant property. This multifunctional cotton fabric offers a wide range of commercial applications.
Effect of Boron on Mechanical Properties and Fatigue Life of Spring Steel for Automobile Suspension
Authors: Hu Yang 
Published: February 2023

Abstract
Three Si-killed 55SiCrA suspension spring steels with different boron contents (0, 23 ppm and 43 ppm) were obtained by vacuum induction levitation melting furnace. Through hot tensile, torsional Bauschinger and rotating bending fatigue tests, the microstructure, precipitate, tensile strength, percentage of area reduction, elastic sag resistance and fatigue life of spring steel were analyzed, respectively. Boron accelerated the dynamic recrystallization at 800 ºC and prevented the formation of reticular proeutectoid ferrite and coarse pearlite in steel, then made the tempered troostite of heat-treated spring steel become fine and uniform. However, much BN and boron carbide formed along prior austenite grain boundaries in spring steel containing 43 ppm boron and was retained after quenching and tempering, leading to the decrease of ductility and fatigue life of spring steel. Therefore, 23 ppm boron was the best content for increasing hot ductility and ductility at room temperature of spring steel, and improved its tensile strength and elastic sag resistance, finally, the fatigue life increased from 5.3 × 107 cycles to 8.2 × 107 cycles.
Research on Measuring Method of Conveying Capacity of Mining Belt Conveyor
Authors: Zhu Shengqiang , Zhang Shaobin 
Published: February 2023

Abstract
This paper introduces the background of the use of mining belt conveyors, and summarizes the current research status and application of the commonly used methods for measuring the conveying capacity of belt conveyors. The development trend of belt conveyor conveying capacity measurement method in the future is put forward, that is, high measurement accuracy, strong anti-interference, and strong adaptability. At the same time, it is pointed out that a variety of combined measurement methods or non-contact measurement methods will become the belt conveyor conveying capacity. The mainstream method of measurement, the future development needs to be accompanied by the common development of artificial intelligence, image processing, machinery, electronics and other technologies.
Second Order Model with Composite Quantile Regression
Authors: Cheng Hao 
Published: February 2023

AbstractIn many fields, comprehensive evaluation is a very important topic. Both second order model and its modified one with quantile regression have been widely used in evaluation. Although quantile-type second order model has abilities in capturing a complete picture of different variables’ relations at different quantile levels. Sometimes we find it complex to summarize the conclusions of all quantile levels. Therefore, we propose a new second order model with composite quantile regression, which has the advantage of obtaining a whole evaluation result based on all quantile levels. More specifically, one of our paper’s main contributions is to develop a comprehensive evaluation model based on the classical second order model, quantile regression and composite quantile regression. What’s more, we introduce a modified partial least square estimation algorithm under the well-known partial least squares framework. The new algorithm has the ability in estimating both path and loading coefficients reflecting the relationships among manifest variables and latent variables at all quantile levels.
Optimal Design on Pogo Stick in Multipurpose Measurement System of Aircraft’s Barycenter
Authors: Zhao Wenhui , Yang Yuhao , Sun Chaojian , Zheng Peng 
Published: February 2023

Abstract
The pogo stick is the main bearing part of the multipurpose measurement system for aircraft’s weight and barycenter. Its quality directly affects the stiffness and dynamic characteristics of the measurement system. The measurement and calculation method of large aircraft barycenter was designed based on the moment equilibrium principle. The core load-bearing component pogo stick was improved by adding a 3D force sensor. The structural strength of pogo stick was analyzed by finite element method, and its structure was optimized by geometric optimization method. The results show that compared with traditional measurement method of Z-direction force, this method can measure the 3D force and improve the measurement accuracy. The structural strength, distortion and geometry of models structural was optimal according to the simulation. The influence degree of each design variable on model’s distortion was found by geometry optimization.
Design and Analysis of a Sloshing Liquid Damping Device with Elastic Baffle Vibrator
Authors: Chang Peiran , Xu Xun , Huang Zijuan , Li Guojun 
Published: February 2023

Abstract
Sloshing liquid damping technology is a typical passive damping technology, which has many advantages in application. To improve the sloshing intensity of liquid, it is necessary to install internal components to increase damping of liquid. Elastic materials, especially rubber materials, are widely used as internal components of the deep-water damper, which would interact well with damping liquid. In this paper, a damping device combining elastic material with sloshing liquid damper is adopted, and a new-type elastic baffle oscillator sloshing liquid damper is proposed by using the lag function of the spring device to transmit the force. The damping mechanism of the structure and the core factors affecting the damping performance are studied. The numerical simulation results show that by adjusting the stiffness of the internal spring, the phase difference between the structural displacement and the acting force of the internal spring on the structure can be changed in a large range. Under the working condition of this paper, when the elastic coefficient is 2000 N·m−1, the phase difference is close to π/2, and the amplitude of the last wave trough of the structural displacement is only 0.5% of the initial amplitude, which indicates that the damping performance is excellent.
Application of Frequency Domain Analysis Method in Vibration Analysis and Fault Diagnosis of Oil Transfer Pump Unit
Authors: Liu Baoxia , Xu Chenchen , Li Gang , Yang Yang , Dai Lei 
Published: February 2023

Abstract
The frequency domain analysis method was used to analyze the changes of the vertical spectrum of the non-driving end, the vertical spectrum of the driving end, the horizontal spectrum of the non-driving end and the horizontal spectrum of the driving end of the pump unit under different operating conditions. And the relationship between the vibration value of the motor and the temperature was summarized. The results show that the motor vibration signal components are mainly fundamental frequency and second harmonic, and there are third harmonic components; The motor vibration value increases with the increase of bearing bush temperature and winding temperature. The reason for the failure of the pump unit is that the motor heat is too large, which leads to the high temperature of the motor bearing bush and winding, and the rotor appears bending and expanding deformation, which leads to the increase of the vibration value of the motor. The results show that the frequency domain analysis method has a good application effect in vibration analysis and fault diagnosis of oil transfer pump unit.
Ultrasonic Vibration Theory and Its Application in Reducing Springback for Multi-point Forming
Authors: Li Xinqi , Hu Shicheng 
Published: February 2023

Abstract
As recently researches show that many fields for three-dimensional surfaces producing, such as aircraft manufacturing, shipbuilding, vehicle body, pressure vessel formation, sheet forming processes are commonly used. As the most usually sheet forming way, stamping springback is also an unavoidable phenomenon. In Multi Point Forming, the springback with ultrasonic forming method can evidently be reduced. In this paper, the mechanism of reducing the springback by the ultrasonic vibration forming method is mainly discussed. Through the numerical simulation software ANSYS/ABAQUS and the ultrasonic vibration forming tests of typical samples, ultrasonic vibration’s effect on the reducing of springback is studied. The springback obtained by theoretical derivation and numerical simulation is consistent with the experimental results.
A Fast Way to Measure the Range of a Fuel Cell Vehicle
Authors: Ting Guo , zhijun Wang , Guozhuo Wang , Wushiyu  , Wuzhen  , Rongliang Liang , Zhenyu Nie , Wangfang  
Published: February 2023

Abstract
This paper studies the current situation of energy management and driving range of fuel cell vehicles, and establishes a corresponding test and evaluation method for driving range. First of all, the situation of the fuel cell vehicle mileage at home and abroad standards is analyzed, the energy change law of the fuel cell and the power battery under the cycle working conditions is studied, and the rapid test and evaluation method of the driving range of the full-power model and the rapid test and evaluation method of the mileage of the electro-electric hybrid are established for different energy mixing states. The established test analysis method plays an important role in the rapid development of fuel cell vehicles.
Integration of Rapid Prototyping Platform for Motor Control System into VeriStand Environment
Authors: Jiu Yuanwei , Zhang Han 
Published: February 2023

Abstract
During the design process of the motor control algorithm, the control parameters need to be constantly adjusted and the algorithm iteration process is complicated. This paper presents a rapid prototyping platform for motor control system with VeriStand environment integrated. The model real-time simulation layer is developed based on VeriStand, LabVIEW, and Simulink, which constitutes the virtual controller of the rapid prototyping platform. Combined with the human-computer interaction layer and data interaction layer based on the embedded system, the rapid prototyping platform can evaluate the performance of the control algorithm before the actual controller is completed, effectively shortening the development period. This rapid prototyping platform has the advantage of high real-time performance, which is convenient for users to design and simulate, and can be widely used in various motor control systems.
Research on Displacement Measurement and Self-detecting Circuit Based on LVDT
Authors: Zhang Xiaomin , Liu Huan , Che Mingshuo , Geng Zhenhua , Jiu Yuanwei 
Published: February 2023

Abstract
A Liner Variable Differential Transformer (LVDT) measuring system and self-detecting circuit are proposed for micro-displacement measurement, which can detect the displacement of LVDT and monitor the fault signals simultaneously. The circuit is composed of a focusing mechanism, a displacement measurement module, a correction module, a monitoring module, an AD conversion module, a drive module, a control module and a power conversion module. Due to the requirements of high reliability and long life of space remote sensing system, as well as the radiation influence in space, LVDT measurement and control data need to be monitored and validated. The displacement signal output of LVDT is an important signal quantity for fault detection and closed-loop control of the system. By analysing the displacement signal and drive output signal of LVDT, fault modes such as mechanism stuck-up and mechanism disconnection are detected. Aiming at the limitation of current detection methods, this paper proposes a method of detecting LVDT signal. Circuit protection is added to the circuit to improve the reliability of the circuit. The linearity and fault detection ability of the circuit are tested and analysed.
Calibration sources for the LEGEND-200 experiment
Authors: Baudis L. , Benato G. , Bond E.M. , Chiu P.J. , Elliott S.R. , Massarczyk R. , Meijer S.J. , Müller Y. 
Published: February 2023

Abstract
In the search for a monochromatic peak as the signature of
neutrinoless double beta decay an excellent energy resolution and an
ultra-low background around the Q-value of the decay are
essential. The LEGEND-200 experiment performs such a search with
high-purity germanium detectors enriched in 76Ge immersed in
liquid argon. To determine and monitor the stability of the energy
scale and resolution of the germanium diodes, custom-made,
low-neutron emission 228Th sources are regularly deployed in
the vicinity of the crystals. Here we describe the production
process of the 17 sources available for installation in the
experiment, the measurements of their alpha- and gamma- activities,
as well as the determination of the neutron emission rates with a
low-background LiI(Eu) detector operated deep underground. With a
flux of
( 4.27 ± 0.60stat ± 0.92syst) ×
10-4 n / (kBq·s), approximately one order of
magnitude below that of commercial sources, the neutron-induced
background rate, mainly from the activation of 76Ge, is
negligible compared to other background sources in LEGEND-200.
A topological characterisation of the Kashiwara–Vergne groups
Authors: Dancso Zsuzsanna , Halacheva Iva , Robertson Marcy 
Published: February 2023

In [Math. Ann. 367 (2017), pp. 1517–1586] Bar-Natan and the first author show that solutions to the Kashiwara–Vergne equations are in bijection with certain knot invariants: homomorphic expansions of welded foams. Welded foams are a class of knotted tubes in

R

4

\mathbb {R}^4

, which can be finitely presented algebraically as a circuit algebra, or equivalently, a wheeled prop. In this paper we describe the Kashiwara-Vergne groups

K
V

\mathsf {KV}

and

K
R
V

\mathsf {KRV}

—the symmetry groups of Kashiwara-Vergne solutions—as automorphisms of the completed circuit algebras of welded foams, and their associated graded circuit algebras of arrow diagrams, respectively. Finally, we provide a description of the graded Grothendieck-Teichmüller group

G
R
T

1

\mathsf {GRT}_1

as automorphisms of arrow diagrams.
Transcriptome analysis of brassinolide under low temperature stress in winter wheat
Authors: Ding Meiyun , Wang Luyao , Sun Yuting , Zhang Junbao , Chen Yushu , Wang Xuesong , Liu Lijie 
Published: February 2023

AbstractLow temperatures are the main abiotic factor affecting wheat growth. Brassinolide is a novel plant hormone that can improve the cold resistance of plants; however, the molecular mechanism of brassinolide in winter wheat at low temperatures remains unclear. In this study, winter wheat Dongnong dongmai 1 was sprayed with 0.01, 0.1, or 1.0 mg·L–1 brassinolide (BR) at the three-leaf stage, and tillering nodes were sampled at different temperatures (5, –10 and –25 °C), and then physiological indexes were determined and the transcriptome was sequenced. The results showed that the optimum concentration of brassinolide for cold resistance is 0.1 mg·L–1. A total of 15 302 (8198 upregulated and 7104 downregulated) differentially expressed genes (DEGs) were identified in the B1 vs D1 comparison (B1 represents 5 °C 0.1 mg·L–1 BR treatment, D1 represents 5 °C control); 3386 (1930 upregulated and 1456 downregulated) differentially expressed genes (DEGs) were identified in the B2 vs D2 comparison (B2 represents –10 °C 0.1 mg·L–1 BR treatment, D2 represents –10 °C control); and 2684 (2102 upregulated and 582 downregulated) differentially expressed genes (DEGs) were identified in the B3 vs D3 comparison (B3 represents –25 °C 0.1 mg·L–1 BR treatment, D3 represents –25 °C control). Further studies showed that these DEGs were mainly involved in carbon fixation in photosynthetic organs, photosynthesis and plant–pathogen interactions, all of which were related to stress and energy metabolism. This indicates that brassinolide can produce substances that improve cold resistance in wheat seedlings. This study provides a theoretical basis for further research on the improvement of cold resistance in winter wheat by brassinolide.
The regulatory role of non-coding RNAs and their interactions with phytochemicals in neurodegenerative diseases: a systematic review
Authors: Fakhri Sajad , Darvish Ebrahim , Narimani Fatemeh , Moradi Seyed Zachariah , Abbaszadeh Fatemeh , Khan Haroon 
Published: February 2023

AbstractNeurodegenerative diseases (NDDs) are on the rise in the world. Therefore, it is a critical issue to reveal the precise pathophysiological mechanisms and novel therapeutic strategies to deal with such conditions. Passing through different mechanisms, non-coding RNAs (ncRNAs) play a pivotal role in NDDs through various mechanisms, by changing the expression of some genes, interference with protein translation and alterations in some signaling pathways. It urges the need to introduce novel strategies and therapeutic agents with multi-targeting potentials. Phytochemicals are hopeful antioxidants and anti-inflammatory agents with promising modulatory roles on dysregulated signaling pathways and protein translation during NDDs. In this study, the role of ncRNAs (e.g. lncRNAs, miRNA, siRNAs and piRNAs) was highlighted in NDDs. This study also aimed to investigate the role of phytochemicals (phenolic compounds, alkaloids, terpenoids and sulfur compounds) in the modulation of ncRNAs during NDDs such as Alzheimer's disease, Parkinson's disease, epilepsy, depression and amyotrophic lateral sclerosis.
IntLIM 2.0: identifying multi-omic relationships dependent on discrete or continuous phenotypic measurements
Authors: Eicher Tara , Spencer Kyle D , Siddiqui Jalal K , Machiraju Raghu , Mathé Ewy A 
Published: February 2023

AbstractMotivationIntLIM uncovers phenotype-dependent linear associations between two types of analytes (e.g. genes and metabolites) in a multi-omic dataset, which may reflect chemically or biologically relevant relationships.ResultsThe new IntLIM R package includes newly added support for generalized data types, covariate correction, continuous phenotypic measurements, model validation and unit testing. IntLIM analysis uncovered biologically relevant gene–metabolite associations in two separate datasets, and the run time is improved over baseline R functions by multiple orders of magnitude.Availability and implementationIntLIM is available as an R package with a detailed vignette (https://github.com/ncats/IntLIM) and as an R Shiny app (see Supplementary Figs S1–S6) (https://intlim.ncats.io/).Supplementary informationSupplementary data are available at Bioinformatics Advances online.