bluuebunny/crossref_metadata_2025_split huggingface dataset:
Simulation Research of Simplified Dynamic Matrix Control
Authors: Zhang Deli , Wang Na , Pang Chunfeng , Zhu Longfei 
Published: October 2022

ABSTRACT
Aiming at the shortcomings of matrix inversion and large amount of calculation in dynamic matrix control, a simplified algorithm is proposed. The algorithm introduces the expected attenuation factor of control increment to make the control increment gradually close to zero in the control time domain. In this way, the matrix inversion in the algorithm is simplified to pure value inversion (i.e. taking the reciprocal), which greatly reduces the amount of calculation, improves the calculation efficiency and reduces the adjustment of control parameters. Therefore, the real-time performance of the algorithm is strong, It is convenient for microcomputer programming. The simulation results show that the improved DMC algorithm is due to the improved DMC Algorithm in ensuring the real-time performance and the dynamic performance of the controlled object.
Research on the Asynchronous Motor Direct Torque Control
Authors: Zhao Xiaoxiao , Yun Yuxin , Lin Xin 
Published: October 2022

Abstract
In this paper, we have adopted a more improved and advanced direct torque control (DTC) method. On this basis, we have also carried out in-depth research on many aspects of asynchronous motor direct torque control system. Some key conclusions are obtained as follows: (1) in this method, we use MRAC identification model with low pass filter and high pass filter to analyze. (2) A new speed observer is also designed. After comparing with the simulation results of other methods, it is proved that this method is effective and superior, its control performance is better and the identification accuracy is higher, which has important practical significance. (3) In this method, we use the digital signal processor TMS320F240 to build a matching experimental system. The experimental results show that this method is indeed effective. (4) Finally, the application scope and main research directions of the method are pointed out. In the future work, we need to strengthen the research on more advanced and efficient direct torque control (DTC) methods and improve it.
Analysis of modeling and fault line selection method for Single-phase Intermittent fault of distribution network
Authors: Wang Zhenxing , Zhang Haijun , Wang Huayang , Bi Zhijun , He Xiujing , Wang Qi , Yu Xiangzong 
Published: October 2022

Abstract
Intermittent arcing often occurs when a single-phase-to-ground fault occurs in the distribution network. However, the intermittent fault modeling suitable for distribution network fault analysis is not perfect, the ability to handle intermittent arcs is insufficient, and fault line selection is prone to misjudgment. In this paper, based on analyzing the operating voltage and current characteristics of intermittent faults in the resonant grounding system of the distribution network, a simulation model of intermittent grounding faults of the 10kV distribution network is established in PSCAD/EMTDC, and a new method based on transient characteristics is proposed. The line selection method for intermittent faults in the distribution network based on fault transient characteristics is proposed. The simulation results show that the established model is suitable for fault analysis of distribution networks, and the proposed method of fault line selection is fast and correct.
Numerical simulation and analysis of wall temperature based on the tangent oval model under different speed and radiation conditions
Authors: Wei Biao , Weng Xiaolong , Yuan Le , Qi Lun , Huang Gang , Du Xingbo , Bi Mei 
Published: October 2022

Abstract
In this paper, the influence mechanism of flight speed, altitude and emissivity of skin material on the temperature of aircraft wall were systematically analysed by numerical simulation. The results show that the increase of the velocity would lead to the rise of the wall pressure and temperature of the aircraft. In addition, a speed of 5 Ma and flight altitude at 30 km, the heat transmitted to the outside was reduced with the decrease of skin material emission. As a result, the constant increase of its own heat energy, which led to the continuous rise of the wall temperature of the aircraft. And the total target radiation emission was reduced by 58.8% with the decrease of emissivity (from 0.8 to 0.2). These results show that the infrared radiation of the aircraft could effectively be suppressed by low emissivity material, the infrared stealth performance of aircraft was enhanced. The research has guiding significance for the temperature-resistant characteristics of skin materials and infrared radiation control.
Trochoidal milling chip thickness model based on real trajectory
Authors: Zhou Ke , Zhang Changming , Du Siyuan 
Published: October 2022

Abstract
With the progress of science and technology industrial development on the use of parts performance and requirements continue to improve, difficult-to-machine materials are more and more widely used, in order to better predict the difficult-to-machine materials milling process cutting force and other parameters, the traditional equivalent chip thickness can no longer meet the calculation accuracy, so it is necessary to describe the chip thickness according to the real trajectory of the cutting edge, using the numerical solution method to find out the intersection between the tool track and the tool track. Thus, the chip geometry during milling is obtained, the instantaneous chip thickness is obtained by solving the transcendental equation, and the chip thickness model is numerically simulated, and finally the chip thickness model in this paper is compared with the traditional chip thickness model, and it is found that this model can better reflect the chip thickness in the machining process.
Research on Frequency Transmission Scheme of Wind Farm in the Scenario of DC Islanding
Authors: Song Yu , Wu Shouyuan , Wang Qian , Li Weichao 
Published: October 2022

Abstract
With the wide application of new energy technologies, wind power has become one of the technologies with the largest development scale. Voltage Source Converter based High Voltage Direct Current Transmission system has unique advantages in its active and reactive power decoupling control, etc., and has become the main solution to solve the wind power transmission of large-scale wind farms. This paper studies the control characteristics and basic principles of new energy generation in the passive transmission system of DC island power grids, and proposes a frequency signal transmission scheme in the external transmission scenario. The simulation results verify the feasibility of the frequency signal transmission scheme between the sending-end wind farm and the receiving-end power grid in the DC islanding scenario, and that the VSC-HVDC system can quickly provide active power support and improve the dynamic frequency stability of the interconnected system.
Risk assessment of voltage sag based on multi-source data mining
Authors: Fu Zhiwei , Lin Yan , Lin Fang , Huang Daoshan , Fang Xiaolin 
Published: October 2022

Abstract
This paper proposes the data mining method of voltage sag severity based on DHP algorithm and replaceable coefficient to assess the risk of voltage sag. The DHP (Direct Hashing and Pruning) is served to mine the relationship between voltage sag characteristic attribute (VSCA) in the fault scenario and the voltage sag severity (VSS) of node. Using direct hash pruning technology, frequent item sets can be found quickly and mining efficiency can be improved. The association rules are matched with the actual fault scenarios through replaceable coefficients to get the VSS of actual fault scenarios. Finally, the effectiveness and accuracy of this method are verified by simulation and examples.
Properties of silicon-based lithium batteries with different electrode nanostructures
Authors: Huang Qiuming , Liu Guangyao , Xie Zehao 
Published: October 2022

Abstract
Among the energy storage devices, lithium-based batteries demonstrate extraordinary performance, which makes them a promising substitution for fossil fuels. Although lithium-based batteries are now used on a large scale, there are still some drawbacks in the basic components of the battery that limit its further application In recent decades, researchers have focused greatly on the refinement of the nanostructure of electrode materials. Nanostructures are highly promising candidates for solving these problems of the lithium-based battery, whose large specific area, considerable active points, and many extraordinary properties derived from its minimum size, especially gather attention from researchers. This review article will emphasize the strategies used by researchers to help them overcome the drawbacks they face. Moreover, this review discusses these strategies at the level of different dimensions, which helps us to optimize the design of lithium batteries from a more integrated perspective. To give a clearer picture of the lithium-based battery developments, this review also summarizes the recent advancement of nanostructures applied in lithium-based batteries
Study on electrical properties of polyethylene after immersed into water
Authors: Li Lili , Han Gang , Zhang Qianping , Chu Xianmin , Tan JingYang , Liu Wenfeng 
Published: October 2022

Abstract
When the cable insulation is in the humid environment for a long time, the electricity property of insulation gradually decreases, and then the normal transmission of power may be failing. In this paper, in order to study the water resistance of polyethylene (PE), the variation of electrical parameters of PE with immersion time is tested. The experimental results show that when PE is immersed into the water, the electrical properties of dielectric decrease to some extent. After immersion for 165h, the relative permittivity εr
and the loss tangent tan δ increases by 0.37 and 0.0007, respectively. And the volume resistivity ρv
and the breakdown field strength Eb
decreases by 3.37×1017Ω.cm and 20.54kV/mm, respectively. Finally, the functional relationships between parameters and immersion time are established, and the relationships between four parameters and immersion time are obtained.
Simulation study on electrical properties of p-GaN gate normally-off HEMT devices affected by Al mole fraction in AlGaN barrier layer
Authors: Xiong Songming , Huang Wenxian , Hassan Ali , Zhong Rong 
Published: October 2022

Abstract
The reason that p-GaN gate normally-off high electron mobility transistor (HEMT) device is able to draw prevail interests is not only for its outstanding electric properties of low on-resistance and high thermal conductivity, but also for its applications under high frequency and high voltage. In HEMT devices, the setting of Al component in the AlGaN barrier layer is a key parameter to affect the formation of two-dimensional electron gas (2DEG) at the AlGaN/GaN heterojunction, and therefore directly determines the performance of the devices. This paper uses the Atlas module of the Silvaco-TCAD software to design and simulate p-GaN gate normally-off HEMT devices to investigate the effect of Al mole fraction content in the AlGaN barrier layer on the electrical performance, as well as the causes in terms of the conduction band energy structure diagram. The results show that the threshold voltage of the HEMT device decreases, the maximum saturation drain current increases, and the peak transductance of the HEMT device increases with increasing the Al content. In the off-state (zero gate voltage), the AlGaN/GaN potential well depth becomes deeper as the Al mole fraction increases, resulting in a lower driven force to rebuild the minimized 2DEG concentration in the GaN layer for switching from off-state to on-state, and this leads to a lower threshold voltage. While, in the on-state (5 V gate voltage), the deeper AlGaN/GaN potential well depth as the Al mole fraction increases, the higher of the 2DEG concentration of the GaN layer, leading to a higher maximum saturation output drain current. After optimization, the integrated electrical performance of the HEMT devices has been found best when the Al mole fraction content is about 0.25. The results obtained from the simulations are helpful for the experimental design of p-GaN gate normally-off HEMT devices
Study on Lubricating Performance of Soft Slider Bearing in Conformal Contact
Authors: Wang Leizhen , Wang Wen , Chen Shangjun , Bai Yujian 
Published: October 2022

ABSTRACT
In this paper, the lubricating performance of soft slider bearing in conformal contact is analyzed. Compared with the hard slider, the soft slider will have greater elastic deformation under low pressure. Three kinds of sliders with different elastic modulus are used for comparative study in this paper. The materials of the three sliders are: steel, glass and PMMA. A hydrodynamic lubrication model of conformal contact considering elastic deformation is established according to the theory of fluid lubrication. A program for calculating dynamic pressure lubrication performance of conformal contact considering elastic deformation is developed by using Matlab and Comsol. The influence of different inclination, different speed and different load on hydrodynamic lubrication performance was studied respectively. The results show that under the same conditions, the elastic deformation on the surface of the slider is more conducive to the formation of oil film, and more conducive to the conditions of high load.
Structural Analysis of Battery Pack Box for New Energy Vehicles Based on the Application of Basic Foam Aluminum Materials
Authors: Ma Congcheng , Hou Jihong , Lan Fengchong , Cheng Jiqing 
Published: October 2022

Abstract
The box structure of the power battery pack is an important issue to ensure the safe driving of new energy vehicles, which required relatively better vibration resistance, shock resistance, and durability. Its structural safety is closely related to the life safety and property safety of drivers and passengers, which is an important index to the structural safety of new energy vehicles. In this work, the structure of the new energy vehicle is optimized by a finite element model, and the side crashworthiness applied to the electric vehicle is analyzed by means of a rigid column. To this end, the key components of the box structure of the battery pack box were optimized base on the application of foam aluminum material, which can effectively reduce the vehicle mass and improve vehicle safety.
Effect of diffusion on the peak value of energy loss observed in a LArTPC
Authors: Putnam G. , Schmitz D.W. 
Published: October 2022

Abstract
Liquid Argon Time Projection Chamber (LArTPC) detectors
observe ionization electrons to measure charged particle
trajectories and energy. In a LArTPC, the long time (∼ms)
between when the ionization is produced and when it is collected
means that diffusion can smear the charge by an amount comparable to
the spatial resolution of the detector, given by the spacing between
charge sensing channels (∼mm). This smearing has an impact on
the distribution of energy losses measured by each channel. In
particular, the smearing increases the length of the charged
particle trajectory observed by each channel, and therefore the
most-probable-value (MPV) of particle energy loss recorded by that
channel. We find, for example, that this effect shifts the MPV
dE/dx of a muon with an energy of 1 GeV by ∼4% for a
2 ms drift time and 4.7 mm wire spacing, as in the DUNE-FD LArTPC.
This has implications for the energy-scale calibration and electron
lifetime measurements in a LArTPC, which both use the MPV of the
muon energy loss distribution as a “standard candle”. The impact
of diffusion on these calibrations is assessed.
Post-operative electrical muscle stimulation attenuates loss of muscle mass and function following major abdominal surgery in older adults: a split body randomised control trial
Authors: Hardy Edward J , Hatt Jacob , Doleman Brett , Smart Thomas F , Piasecki Matthew , Lund Jonathan N , Phillips Bethan E 
Published: October 2022

Abstract

Introduction
Significant losses of muscle mass and function occur after major abdominal surgery. Neuromuscular electrical stimulation (NMES) has been shown to reduce muscle atrophy in some patient groups, but evidence in post-operative patients is limited. This study assesses the efficacy of NMES for attenuating muscle atrophy and functional declines following major abdominal surgery in older adults.

Methods
Fifteen patients undergoing open colorectal resection completed a split body randomised control trial. Patients’ lower limbs were randomised to control (CON) or NMES (STIM). The STIM limb underwent 15 minutes of quadriceps NMES twice daily on post-operative days (PODs) 1–4. Ultrasound measurements of Vastus Lateralis cross-sectional area (CSA) and muscle thickness (MT) were made preoperatively and on POD 5, as was dynamometry to determine knee extensor strength (KES). Change in CSA was the primary outcome. All outcomes were statistically analysed using linear mixed models.

Results
NMES significantly reduced the loss of CSA (−2.52 versus −9.16%, P &lt; 0.001), MT (−2.76 versus −8.145, P = 0.001) and KES (−10.35 versus −19.69%, P = 0.03) compared to CON. No adverse events occurred, and patients reported that NMES caused minimal or no discomfort and felt that ~90-minutes of NMES daily would be tolerable.

Discussion
NMES reduces losses of muscle mass and function following major abdominal surgery, and as such, may be the promising tool for post-operative recovery. This is important in preventing long-term post-operative dependency, especially in the increasingly frail older patients undergoing major abdominal surgery. Further studies should establish the efficacy of bilateral NMES for improving patient-centred outcomes.
Adverse Childhood Experiences, Depression, Patient Activation, and Medication Adherence Among Patients With Uncontrolled Hypertension
Authors: Alvarez Carmen , Perrin Nancy , Carson Kathryn A , Marsteller Jill A , Cooper Lisa A ,   RICH LIFE Project Investigators
Published: October 2022

AbstractBackgroundIdentifying potential pathways through which adverse childhood experiences (ACEs) impact health and health behavior remains important, given ACE survivors’ increased risk for cardiovascular disease and poor cardiovascular health behaviors. This study examines whether modifiable variables—depression and patient activation—explain the relationship between ACEs and medication adherence.MethodsUsing baseline data from a pragmatic trial designed to decrease disparities in hypertension control, we conducted regression analyses to examine whether depression and patient activation mediated the association between ACEs and medication adherence. Data were collected between August 2017 and October 2019 (n = 1,818).ResultsParticipants were predominantly female (59.4%) and Black or African American (57%) with uncontrolled blood pressure (mean—152.3/85.5 mm Hg). Most participants reported experiencing at least 1 ACE (71%) and approximately 50% reported being adherent to their blood pressure medication. A significant indirect effect between ACEs and medication adherence was found for depression symptoms (Sobel’s test z = −5.46, P &lt; 0.001). Patient activation was not a mediator in these relationships.ConclusionsExperiencing more depression symptoms significantly accounted for the association between ACEs and medication adherence in a diverse sample of adults with uncontrolled blood pressure. Addressing depression symptoms, which may result from experiences with ACEs and other current stressors, could translate to better medication adherence and, potentially, better blood pressure control among this high-risk group. Given the serious lifetime health implications of ACEs, continued efforts are needed for primary prevention of childhood adversities.
The relationship between the main leaf traits and photosynthetic physiological characteristics ofPhragmites australisunder different habitats of a salt marsh in Qinwangchuan, China
Authors: Li Qun , Wen Jun , Zhao Cheng-Zhang , Zhao Lian-Chun , Ke Dan 
Published: October 2022

AbstractPlant leaf morphological and photosynthetic physiological characteristics are key functional traits in the adaptability of plants to heterogeneous environments. Analysis of the correlation between leaf morphological traits and photosynthetic physiological characteristics of salt marsh plants is helpful to deepen our understanding of how salt marsh plants adjust their leaf structure and function to adapt to their environment. However, there have been few studies on the relationship between leaf morphology and photosynthetic physiological characteristics of plants in inland salt marshes under a habitat gradient. A Phragmites australis community was divided into three plots based on differences in the wetland habitat conditions: a remote water area (plot I, 400–550 m from the water margin), a middle water area (plot II, 200–350 m from the water margin) and a near water area (plot III, 0–150 m from the water margin). The relationship between leaf morphological traits and photosynthetic physiological parameters of P. australis in heterogeneous habitats was studied. The results showed that as the habitat conditions changed from plot I to plot III, the soil characteristics, above-ground characteristics of the community and the photosynthetically active radiation changed significantly (P &lt; 0.05). Besides, there was a highly significant positive correlation (P &lt; 0.01) between leaf dry weight (LDW) and net photosynthetic rate (Pn), the effective quantum yield of PSII photochemistry (Y(II), actual photochemical efficiency of PSII) and photochemical quenching (QP); and between leaf area and Pn, Y(II) and QP in the three habitats. Moreover, in plot I, P. australis tended to have small and thick leaves with a low LDW and specific leaf area. In plot III, leaves were large and thin to adapt to the change in habitat conditions. This study provides a scientific theoretical basis for understanding the ecological adaptation strategies of plants in the harsh environment of an inland salt marsh and the conservation and management of wetland plants.
ConsensuSV—from the whole-genome sequencing data to the complete variant list
Authors: Chiliński Mateusz , Plewczynski Dariusz 
Published: October 2022

Abstract

Summary
The detection of the structural variants (SVs) using Illumina sequencing of human DNA is not an easy task. Multiple approaches have been proposed; however, all the methods have their limitations. In this article, we present ConsensuSV pipeline that aids the research in complex variant detection. By using consensus meta-approach, eight independent SV callers are being used to identify a uniform set of high-quality SVs. The pipeline works using raw sequencing data and performs all the necessary steps automatically, significantly reducing the researchers’ time required for processing the data. The output files contain SVs, single nucleotide polymorphisms and Indels. The pipeline uses luigi framework, allowing the software to be run efficiently and parallelly using the high-performance computing infrastructure. We strongly believe that the software is useful to the scientific community interested in the germline variant detection.

Availability and implementation
https://github.com/SFGLab/ConsensuSV-pipeline.

Supplementary information
Supplementary data are available at Bioinformatics online.