bluuebunny/crossref_metadata_2025_split huggingface dataset:
Child rearing and parenting programs among First Nations’ populations in high-income countries: a bibliometric review
Authors: Waller Amy , Ampofo Ama , Bryant Jamie , Sanson-Fisher Robert W. 
Published: November 2022

Objectives We set out to examine the volume, scope and quality of research related to First Nations peoples’ perceptions of, and experiences with, child rearing and/or parenting programs. Methods We systematically reviewed the literature published between 2000 and 2020. Sixty-eight studies identified through electronic databases and references lists met inclusion criteria. Results The study found an 8% increase in publications in the field each year (P-value = 0.002), mostly conducted in Australia with Aboriginal and Torres Strait Islander people (n = 29, 41%). Scope included positive and negative experiences relating to: parenting from adult (n = 19 studies) and teenager (n = 4) perspectives; and pregnancy, antenatal and postnatal care from the perspective of adults (n = 23) and teenagers (n = 2). Descriptive studies included qualitative (n = 40; 58%), quantitative (n = 8, 12%) or mixed methods (n = 7, 10%). Thirteen experimental studies reported the development, acceptability and/or effectiveness of programs (19%), of which three met the Cochrane Effective Practice and Organisation of Care design criteria. Conclusions Despite an overall increase in volume, research efforts do not demonstrate a clear scientific progression. Further methodologically rigorous studies examining child rearing and/or parenting programs developed in collaboration with First Nations populations are needed.
Convergence of the Fefferman-Graham expansion and complex black hole anatomy
Authors: Serantes Alexandre , Withers Benjamin 
Published: November 2022

Abstract
Given a set of sources and one-point function data for a Lorentzian holographic QFT, does the Fefferman-Graham expansion converge? If it does, what sets the radius of convergence, and how much of the interior of the spacetime can be reconstructed using this expansion? As a step towards answering these questions we consider real analytic conformal field theory data, where in the absence of logarithms, the radius is set by singularities of the complex metric reached by analytically continuing the Fefferman-Graham radial coordinate. With the conformal boundary at the origin of the complex radial plane, real Lorentzian submanifolds appear as piecewise paths built from radial rays and arcs of circles centred on the origin. This allows singularities of Fefferman-Graham metric functions to be identified with gauge-invariant singularities of maximally extended black hole spacetimes, thereby clarifying the physical cause of the limited radius of convergence in such cases. We find black holes with spacelike singularities can give a radius of convergence equal to the horizon radius, however for black holes with timelike singularities the radius is smaller. We prove that a finite radius of convergence does not necessarily follow from the existence of an event horizon, a spacetime singularity, nor from caustics of the Fefferman-Graham gauge, by providing explicit examples of spacetimes with an infinite radius of convergence which contain such features.
Development of a ReaxFF potential for Au–Pd
Authors: Rusalev Yu V , Motseyko A V , Guda A A , Guda S A , Soldatov A V , Ter-Oganessian N V 
Published: November 2022

Abstract
The bimetallic alloys often outperform their single-component counterparts due to synergistic effects. Being widely known, the Au–Pd alloy is a promising candidate for the novel heterogeneous nanocatalysts. Rational design of such systems requires theoretical simulations under ambient conditions. Ab initio quantum-mechanical calculations employ the density functional theory (DFT) and are limited to the systems with few tens of atoms and short timescales. The alternative solution implies development of reliable atomistic potentials. Among different approaches ReaxFF combines chemical accuracy and low computational costs. However, the development of a new potential is a problem without unique solution and thus requires accurate validation criteria. In this work we construct ReaxFF potential for the Au–Pd system based on ab initio DFT calculations for bulk structures, slabs and nanoparticles with different stoichiometry. The validation was performed with molecular dynamics and Monte-Carlo calculations. We present several optimal parametrizations that describe experimental bulk mechanical and thermal properties, atomic order-disorder phase transition temperatures and the resulting ordered crystal structures.
Mechanistic investigation of formation of highly-dispersed silver nanoparticles using sea buckthorn extract
Authors: Kaur Hardeep , Anand Vivek , Sharma Ajay , Verma Meenakshi , Sareen Shweta , Mehta Surinder Kumar , Mutreja Vishal 
Published: November 2022

AbstractNowadays, the greener pathways for the synthesis of nanostructures are being explored. The extracts of different parts of plantsvizleaves, stems, and roots have been investigated. However, these extracts have been prepared by simply boiling or microwaving, or sonicating the parts of plants with water. Therefore, to have deeper insight and to investigate the full potential of plant extracts, serial extraction of leaves of sea buckthorn (Hippophae rhamnoides L.) which is a medicinally important plant was attempted using the soxhlet apparatus. The as-obtained polyphenolic-rich extract was employed for the preparation of silver nanoparticles (Ag−NPs). Under optimized reaction conditionsviz60 °C temperature and 500μl of extract solution (5 mg ml−1) highly disperse spherical nanoparticles of the average size of 15.8 ± 4.8 nm were obtained. Further, the optical band gap of Ag−NPs prepared using optimized reaction conditions was found to be 2.6 eV using the Tauc equation. Additionally, to understand the reduction by the extract, kinetic studies were also carried out which suggest the predominant occurrence of pseudo-first-order reaction. Furthermore, the mechanism of formation of Ag−NPs using major components of extractvizgallic acid and catechin which were identified by HPLC were also investigated using DFT. The mechanistic investigation was performed for both the keto-enol and radical-mediated preparation of Ag−NPs. Such theoretical investigations will help in the efficient designing of greener and novel routes for the synthesis of Ag−NPs. Additionally, the prepared silver was also employed for the colorimetric detection of H2O2.
Amalgamation of rare-earth neodymium ions with ZnO nanoparticles: extensive investigations into the microstructure and optical properties
Authors: Senthil Kumari S , Nirmala W , Chidhambaram N , Prabu M , Gobalakrishnan S , Thirumurugan Arun 
Published: November 2022

Abstract
A comprehensive study is envisioned to examine the influence of rare-earth (RE) metal doping on the zinc oxide (ZnO) matrix. A wet-chemical methodology is adopted to synthesize pristine and neodymium (Nd)-doped ZnO nanoparticles (NPs). Crystal structure analysis substantiates that RE doping does not form any secondary phases related to RE metal clusters or oxides. The average crystallite and apparent strain values of the synthesized NPs are obtained from the size-strain plot approach. In addition to the typical absorption edge of ZnO, the characteristic absorption bands of Nd3+ ions are also detected in the doped ZnO NPs. Light-emission studies reveal photoluminescence quenching for up to 3 wt.% of Nd-doping, and 5% doping causes an enhanced ultraviolet emission in the Nd-doped ZnO matrix. Additional functional groups that co-exist with the NPs are identified using Fourier transform infrared spectroscopy. Energy dispersive x-ray studies corroborate the existence of constituent elements in the doped ZnO matrix.
Dependence of dynamic resistances in high-temperature semiconducting quasi-isotropic strands on magnitude and orientation of AC magnetic field
Authors: Wang Yinshun , Wang Jian , Liu Wei , Wang Jiawen , Meng Ziqing , Pi Wei 
Published: November 2022

Abstract
The dynamic resistance of a superconductor appears if it carries a direct current (DC) current and is simultaneously exposed to alternative current (AC) magnetic fields if its amplitude is higher than its full penetrated field. Due to its strong anisotropy, the dynamic resistance of high-temperature superconducting (HTS) tape is not only affected by the magnitude of AC magnetic fields but also their orientations. In particular, the dynamic resistance has considerable effect on the current distribution in HTS cables (except for Roebel cables) and even cable-in-conduit conductors made from those HTS cables, except for dissipative loss. This paper presents the behavior of dynamic resistance in an HTS quasi-isotropic strand (Q-IS), which consists of four sub-stacked 2G HTS tapes proposed by our group at North China Electric Power University, while it carries a DC current and simultaneously experiences an AC magnetic field with different magnitudes and orientations. An angular dependence of dynamic resistance in a single 2G HTS tape in an AC magnetic field with various orientations is first performed in simulations and experiments, respectively. The experimental results are in good agreement with the simulated ones, which shows that the dynamic resistance of a Q-IS also exhibits quasi-isotropic characteristics and has an important effect on the distribution of DC transport current. The related results are promising for the design and application of other DC HTS cables, feeders and magnets.
Inverse kinematics solution of CMOR short carrier manipulator
Authors: Zhang Heng , Dong Xiang , Fang Ning , Zhang Jun , Cheng Yong 
Published: November 2022

Abstract
CMOR is a heavy-duty manipulator system applied to the maintenance of fusion reactor components. On the basis of fully considering the configuration characteristics of the manipulator, the geometric solution based on coordinate transformation combined with the analytical method is used to solve the inverse kinematics of the manipulator. First, the modified D-H method is used to establish the link coordinate system model of the CMOR carrier manipulator, and the forward kinematics is deduced. Then, based on the end pose 0T7 and the geometric structure of the manipulator, the movement range of the redundant degree of freedom d1 is deduced, and the remaining joint angles are obtained through the mapping solution and verified in MATLAB. The simulation results show that the method has high precision, reduces the overall calculation amount, and is conducive to the real-time and accurate maintenance movement of the carrier manipulator, which is of great significance for the maintenance of fusion reactors.
Motion analysis of armored vehicle suspension based on ADAMS
Authors: Yuan Xinjian 
Published: November 2022

Abstract
This paper takes the suspension of a 8×8 wheeled armored vehicle as the research object, uses Pro-E to model the armored vehicle, uses ADAMS simulation software to simulate the kinematics of the established suspension model, and analyzes the motion characteristics of the armored vehicle suspension from three aspects: positioning parameters, track width and suspension stiffness. It provides a reference for the optimal design of operational stability and ride comfort of wheeled armored vehicles.
Design of actuator of marine garbage cleaning vessel based on ocean wave driving
Authors: Zou JiangMeng , Zhu Xi , Han Zhi , Li Chun 
Published: November 2022

Abstract
There are usually two ways to salvage and clean the garbage floating in the ocean, one is relying on manual and the other one is dependent on garbage salvage vessel driven by fuel oil. It is known that human collection is time-consuming and laborious, and machinery driven by fuel produces pollutant and pollutes the ocean environment in return. Taking these issues into consideration, this study designed a marine garbage cleaning vessel based on ocean wave driving which could gather and collect the floating garbage on the sea. The structure of the vessel actuator mainly constructed of a buoy-ratchet mechanism, the gear set-differential mechanism, the incomplete teeth-gathering mechanism, and a conveyor belt for transporting garbage. Through innovative structural design, this device could drive the whole transmission system by wave energy, which not only improves the work efficiency, increases reliability of structures but also reduces the consumption of manpower and material resources. Thus, the mechanical vessel is in line with sustainable development strategy, making full use of natural resources to clean ocean waste, and has a very high practical application value.
A New Derailment Detection Method of Rail Vehicles
Authors: Tao Qiang , Sun Xiaojie , Liu Yi , Dai Chenxi , Zhao Yulun 
Published: November 2022

Abstract
Aiming at the problem of train derailment detection, researchers at domestic and abroad mainly focus on the derailment coefficient and wheel load reduction rate, but the derailment coefficient and wheel load reduction rate can’t accurately reflect the status of rail vehicle derailment in time. In this paper, a new derailment detection method of rail vehicles is designed based on the lateral acceleration and roll angle as the key characteristic physical quantities of wheelset derailment. Firstly, the virtual simulation method is used to grasp the characteristics of the key physical quantities. Then, the appropriate scheme of derailment detection system is proposed to measure the key characteristic physical quantities and judge whether the rail vehicle is derailed. Finally, the simulation data is used to prove the effectiveness of the detection method, which can lay the foundation for the practical engineering application.
Design and Verification of Simulation Data Generator for Rail Transit Switch Machine
Authors: Wei Shiyan , Zou Jinbai , Sha Quan , Ji Guoyi 
Published: November 2022

Abstract
Because the fault data of rail transit switch machine are difficult to obtain and the site fault is difficult to reproduce, it is difficult to diagnose or predict the switch machine. In this paper, the power fault data of S700K switch machine is divided into creeping fault and mutation fault, and a simulation data generator for generating massive fault data is developed. The generators involve the synthesis of minority over-sampling techniques and generative confrontation networks. Finally, the long-term memory neural network is used to predict the generated gradual fault data to verify the authenticity and reliability of the simulation data generator. The experimental results show that the generated data can predict the future power trend of the switch machine, which proves the authenticity and feasibility of the simulation data generator.
Development of an Adaptive Wall-pressing Mechanism for an In-pipe Cleaning Robot
Authors: Yang Zeyu , Fan Yuanxun , Yan Yu 
Published: November 2022

Abstract
This paper proposes a novel adaptive wall-pressing mechanism for an in-pipe cleaning robot (ICR) which combines two type of self-adaptive mechanisms. Parametric modelling and optimization for the mechanism is proceeded in order to improve the carrying capacity and adaptability of the robot in the water supply pipeline. Force in the compression spring due to the self-weight of ICR is reduced by 31% after optimization. A virtual simulation platform is established to analyse the stability and obstacle-surmounting capacity of ICR under different pre-loading forces.
Numerical simulation analysis of the flow field in the bore of a two-stage light gas gun
Authors: Dong Jinlin , Cao Bing 
Published: November 2022

Abstract
In order to study the effect of different launch tube diameters of gas-driven two-stage light gas guns on the flow field during the launch process, a model of the piston movement in the pump tube to the projectile launch was established using Fluent. Using the dynamic mesh technology and 6DOF model, a numerical simulation of the projectile launch process of the two-stage light gas gun was carried out, and the effects of different launch tubes on the projectile velocity and the flow field in the bore were obtained. The results show that when the mass difference between the piston and the projectile is large, appropriately increasing the diameter of the launch tube is conducive to the flow of gas in the high-pressure cone and increases the projectile launching speed. The numerical simulation analysis of the flow field in the bore provides a basis for the design and optimization of the two-stage light gas gun.
Particle image recognition in the measurement of workpiece cleanliness
Authors: Long Zhiqiang , Wang Jiangang , He Fengqin , Sun Mochuan , Lian Fengqi , Zhong Jiancheng , Shangguan Qianqian , Zhang Qiuhong 
Published: November 2022

Abstract
Monitoring the cleaning degree of workpiece surface cleaning is a key step in high-end equipment manufacturing. The use of image recognition technology to identify the cleaning degree of workpiece surface can effectively improve the quality and efficiency of workpiece cleaning. In this paper, a particle image recognition technology based on opencv was proposed, which uses a series of methods such as grayscale, binarization, morphological processing, line contour detection, contour extraction to statistically calculate the number and average size of particles. So that the surface cleanliness of the workpiece can be determined. Judging the surface cleanliness classification according to the particle size and quantity is a precise quantitative cleaning method.
Research on synchronization of cooperative trajectory of dual industrial robots based on fuzzy adaptive PID control strategy
Authors: Xiong Qiang , Wang Jianqun 
Published: November 2022

Abstract
Through the research on the synchronization of the cooperative trajectory of dual industrial robots, this paper analyses the characteristics of master-slave control and distributed control, and puts forward a fuzzy adaptive PID control method suitable for the cooperative scene of dual industrial robots, which can dynamically adjust the parameters of PID control online and adapt the dynamic system of industrial robots in real time. Taking two same 6-DOF ABB industrial robots as examples, common PID controller and fuzzy PID controller are compared and simulated under master-slave control mode and distributed control mode respectively. The simulation results verified that the fuzzy adaptive PID control method is effective, and the distributed control mode has more applicability and expansibility than the master-slave control mode.
AHSM-Net: Unsupervised Stereo Matching Algorithm Based on Attention Mechanism and Hybrid Dilated Convolution
Authors: Li Xiaoge , Zhao Xingfang , Yan Long 
Published: November 2022

Abstract
Too many parameters often accompany the stereo matching algorithm of the convolutional neural network. The dense matching makes the constructed cost volume increase with the resolution, resulting in high occupied memory and processing time. To perform depth estimation more efficiently, this paper proposes a stereo matching algorithm AHSM-Net based on attention mechanism and hybrid dilated convolution (HDC), which uses an unsupervised method to train the stereo matching network end-to-end. This method obviously enhances the consistency of objects. AHSM-Net is trained on the SceneFlow dataset, and a large number of experiments and analyses are carried out on the KITTI2012 and KITTI2015 datasets, which verifies that the method proposed in this paper has great matching accuracy and speed under the condition of unsupervised.
Structural optimization method of 6-DOF manipulator based on genetic algorithm
Authors: Tu Chenyu , Zhang Long 
Published: November 2022

Abstract
Most of the manipulator is designed under the constraint of motion reversibility, and the optimization of the manipulator structure is often carried out through the study of kinematics. In order to solve the structural optimization problem of a 6-Dof manipulator, this paper proposes a structural optimization method based on a 6-Dof manipulator with comprehensive indexes combining kinematics performance and dynamics performance. On the premise of satisfying the original workspace and taking dynamic performance as evaluation function, genetic algorithm was used to optimize the structural parameters of the manipulator, so that the optimized manipulator not only has the characteristics of the original workspace, but also consumes the least energy. The kinematic equation of the manipulator was derived, the dynamics model was established by Lagrange method, and then the fitness function and the structural optimization algorithm of the manipulator based on genetic algorithm were given.
Event-Triggered Regulation for Enhanced Synchronization of Recurrent Neural Networks using Time-Varying Delay
Authors: Yu Lei , Chen Guici 
Published: November 2022

Abstract
This research is primarily concerned having the synchronization issue of time-varying delay recurrent neural networks (RNNs) with event-triggered regulation (ETR). ETR may legitimately reduce the number of control activities performed and the amount of energy expended. Via the L-K functional, Schur complement lemma, linear matrix inequalities (LMIs), and other analytic techniques, a sufficient condition for the synchronization of the drive-response system is achieved. Consequently, a more sensible and effective controller is implemented. Using a Matlab-made example and graph, we can show that our inferred results are correct and we can ensure the rationality of the set controller.
Design of Lightning Current Monitoring System on Wind Turbines
Authors: Huang Guojian , Huang Jiasi , Li Chunyan , Wu Yuquan , Zhou Junjie , Dai Yating , Li Qingtong 
Published: November 2022

Abstract
In recent years, because climate change is a major issue related to human survival and sustainable development, the global climate is warming and glaciers are melting, so the country has been advocating “green environmental protection, low-carbon life”. To achieve this goal, China is constantly looking for green and sustainable energy. However, in thunderstorm weather, wind turbines are more likely to be attacked by lightning. Even if we have a set of strict technology for lightning protection of wind turbines, we cannot resist direct lightning strikes. The blade of a wind turbine is the first target of lightning strikes. Therefore, this paper designs a lightning current monitoring system for wind turbines based on Rogowski coils, and designs a current measurement system that can be stably used to monitor the whole process of discharge when wind turbines are struck by lightning, so as to improve the safety of wind turbines. To improve the wind power generation technology due to the economic losses caused by lightning strikes to wind power generation enterprises.
Fault injection and diagnosis of the centrifugal fan
Authors: Tang Jing , Guo Guangkuo , Wang Ji , Xu Wei 
Published: November 2022

Abstract
Centrifugal fan is widely used in industry, vehicle and ship application to provide air cycle power. To detect the fan fault at early stage, this paper explores the fault feature in the vibration signal and fault diagnosis method through the fault injection test, where impeller unbalance, rotor unbalance, and bearing fault are involved. Firstly, the fault mechanism is introduced; then, the fault injection methods of the three faults are introduced to obtain the faulty fans; finally, health and fault tests are performed, where the vibration sensors are employed and distributed on the fan in the axial and radial direction. Moreover, the acquired vibration data is analyzed by using time-domain and frequency-domain methods, and further the fault features between health and fault are compared and discussed. The analysis results indicate that the three faults can be detected through the vibration intensity and magnitude comparison at their individual characteristic frequencies in the spectrum.