bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of Vehicle Handling Stability Based on Interval TOPSIS and Entropy Weights
Authors: Huang Xincheng 
Published: November 2021

Abstract
The purpose of this study is to evaluate the handling stability of vehicle from the perspective of users using a multi-criteria decision-making approach with interval numbers. In order to achieve this purpose, the evaluation criteria easy for drivers to understand were constructed based on questionnaire, the interval weights of the criteria were calculated using the entropy weight method with interval numbers, and the interval TOPSIS method was used to evaluate the vehicle handling stability. As the improvement of the method, a new method to determine the crisp value of the interval weight was given, and the relative closeness index used for ranking alternatives was extended to a new additive ranking index. The proposed method was used to evaluate the handling stability of 12 vehicles, and the results may provide some basis for vehicle R & D and design.
Using Windowed Interpolation Method to Suppress Power Frequency Noise of Vibration Signal
Authors: Zhang Xiaotao 
Published: November 2021

Abstract
Power frequency noise interference is widespread. In order to suppress power frequency noise coupled into vibration signal, windowed interpolating method was studied. Firstly, three typical window functions were compared, including rectangular window, Hanning window and six-term cosine window. Secondly, the numerical simulation method was used to analyze the influence of window function on the interpolation results of power frequency noise, finding that different window function should be chose when the spectrum spacing between power frequency noise and useful components of vibration signal is different. Finally, the windowed interpolation method was applied to actual engineering vibration signal to suppress its power frequency noise, with the result that the interpolation result of vibration signal is the most accurate with Hanning window. Numerical simulation and engineering application show that the windowed interpolation method is effective for power frequency noise suppression.
Convolution Diagnosis Model of Centrifugal Pump Based on Fractal Dimension
Authors: Liu Xiaopeng , Sun Bingxiang , Jiang Jiuchun , Zhang Weige , Zhao Chunlu , Zhao Yuzhang , Mao Benqiang , Li Jian , Wang Zhisheng 
Published: November 2021

Abstract
Nowadays, more and more centrifugal pumps are used in the industrial domain. Normal operation of centrifugal pumps is also the key to maintain stable operation of production and process. So it is very important to monitor the operation status of centrifugal pumps real time on-line. In order to diagnose the fault of centrifugal pumps, we proposed a Convolutional Neural Network (CNN) fault diagnosis model, based on Fractal Dimension (FD) features. Firstly, we collected the vibration signal of centrifugal pumps and preprocessed them. Then we used the Empirical Mode Decomposition (EMD) to calculate the fractal dimension and the fractal matrix of the signal. Finally, we constructed the CNN model to diagnose and classify the fault of centrifugal pumps. The experiment shows that the accuracy of the proposed model can reach over 90%.
Path Planning for Construction Machinery Based on Improved Potential Field Ant Colony Algorithm
Authors: Li Peigang , Li Pengcheng , Xie Yining , Feng Xianying , Hu Bin , Tian Congfeng , Zhang Ruwei 
Published: November 2021

Abstract
The path planning algorithm of unmanned construction machinery is studied, and the potential field ant colony algorithm is improved to be applied in the field of unmanned construction machinery. Firstly, the raster map modeling was optimized to eliminate the trap grid in the map. At the beginning of algorithm iteration, the heuristic information of artificial potential field method was added and the global pheromone updating model was improve the convergence speed of the algorithm. In addition, the weight coefficient of potential field force and local pheromone updating model were introduced to enhance the development of raster map in the later iteration of ant colony algorithm and reduce the influence of heuristic information of potential field force. Finally, the selection range of parameters such as optimal pheromone heuristic factor and ant colony number is determined by simulation, and it is verified that the algorithm is better than the basic ant colony algorithm.
Test and Analysis of Stepper Motor’s Noise in HVAC’s Ventilation Valve
Authors: Cai Changxin , Chen Yongjun , Ouyang Ruiling 
Published: November 2021

Abstract
With the application of automotive air conditioning being more popular, higher requirements on automotive air conditioning’s comfort have been put forward, noise is an important criterion about comfort. BDC motor controlling ventilation valve’s noise is mainly caused by brush and commutator, but stepper motor doesn’t have it and stepper motor is cheap and easy-controlling. In this paper, the principle of microstepping drive technology is discussed in detail, the control circuit block diagram and the application of the stepping motor’s control system are introduced. The noise of BDC motor and stepper motor controlling ventilation valve is measured in the semi-anechoic room, BDC motor produces peak noise at the start and stop during the working of motor, stepper motor’s noise is slight and smooth-going; current waveforms have been measured in the microstepping drive, the results show microstepping drive makes current waveform more smooth-going and stepper motor’s noise is lower. So it is a tendance stepper motor will replace BDC motor to control ventilation valve, and the microstepping drive can meet different requirements for merchant’s control.
Optimal Design and Verification of Standing-up Motion Assistant Machine
Authors: Li Shilong , Wang Yue , Zhuang Xing 
Published: November 2021

Abstract
Standing-up motion assistant machine is a new type of assistant device for the care and motion of the semi-disabled, which can replace the manual motion mode to a great extent and reduce the workload of the care-givers. After a detailed analysis of shortcomings of the structural design of the existing standing-up motion assistant machine in the practical application in elderly institutions, this paper proposes a design scheme and mechanical structure of the hanger. The optimized product is verified based on ergonomics theory. Results show that the design scheme and structure of the hanger of the motion assistant machine proposed in this paper can satisfy the requirements of occupant comfort on the premise of ensuring safety, as well as effectively expand the application of the standing-up motion assistant machine in elderly institutions of varied facility levels.
Research on Thermal Design of Server Structure Based on LRM Mode
Authors: Ju Lu , Men Shiying , Liu Huan , Chen Yaozhong , Qiao Jinfeng 
Published: November 2021

Abstract
Aiming at the module heat dissipation problem of a military domestic LRM mode server, a thermal design which can improve the module cooling efficiency and equipment integration is proposed. The design can realize the easy heat dissipation and high integration of on-board equipment. Through the design of fan device, module cooling and heat pipe, the heat dissipation efficiency of the server was improved, and the heat dissipation capacity of the module was improved. Thus the integration degree of on-board equipment was improved. The designed server was thermally analyzed and tested at + 65 °C. By comparing the experimental results with the thermal analysis results, the conclusion proved the correctness and feasibility of the research content in this paper.
Verifying the Movable Elastoplastic Boundary Method by Using Galin’s Problem
Authors: Bukhalov V.I. 
Published: November 2021

Abstract
Galin’s solution for the problem of biaxial tension of a plate with a hole completely covered by the plastic region appears to be a pearl recognized by the world scientific community. This solution serves as a test for all sorts of approximate approaches to solving elastoplastic problems, including the semi-analytical iterative method being developed by the author, focused on solving more complex problems such as the Kirsch problem in the elastoplastic formulation. The proposed iterative approach for a semi-analytical solution involves an explicit analytical expression for stresses in the plastic region and an iterative numerical solution in the elastic region with a refined border. The paper shows the convergence of the results based on the iterative procedure for the elastoplastic region boundary approaching its analytical position, which follows from the analytical solution of Galin’s elastoplastic problem. Consideration has also been given to obtaining results on the determination of the boundary between the elastic and plastic regions using a competing approximate perturbation method. The advantage of the proposed method lays in not limited modifications in parameters due to the requirement for small differences while formulating a problem from the axisymmetric case as seen in the perturbation method.
Kinematics Analysis of Incomplete Gear and Rack Pumping Unit
Authors: Shao Jun , Ding Kang , Wang Dewei 
Published: November 2021

Abstract
A pumping unit with incomplete gear and rack reversal was designed for smooth motion and low energy consumption. This paper first describes the working principle of the pumping unit. The kinematical equation of the pumping unit is established on the basis of analyzing the kinematic relationship between the first tooth meshing area, the normal meshing area and the final tooth meshing area of incomplete gear and rack. The kinematic relationship curve of the pumping unit is obtained by ADAMS simulation. The simulation results show that the theoretical model is correct. By comparing the results with the conventional pumping unit, it can be seen that: the pumping unit has a smooth movement of the up-down strokes, with fluctuations of movement only in the process of changing directions. The incomplete gear and rack drive is smooth, which can improve the kinestate of the pumping unit.
Fault Diagnosis Model and Application of Water Injection Well Based on SPC Rules and Real-time Data Fusion
Authors: Zheng Chunfeng , Li Ang , Wang Song , An Cheng , Tan Chaodong , Du Guanghao , Niu Huizhao 
Published: November 2021

Abstract
Based on the Extended SPC rules and real-time data fusion, the operating fault diagnosis model and application research of water injection wells were carried out. The historical operating parameters of water injection wells were studied, a multi-parameter rule fault chart was established, and the weight factors of fault diagnosis parameters were obtained based on expert Pcores. A operating fault diagnosis model of water injection wells based on SPC rules and real-time data fusion was constructed. The example analysis shows that the model has good adaptability in Bohai oilfield, can diagnose the fault of water injection wells in real time, quantitatively and accurately, and improves the intelligent level of real-time fault diagnosis of water injection wells.
Data Driven Model of Gas Well Integrity and Its Application
Authors: Hong Jiangling , Zhang Hongjie , Wang Jiaqi , Liu Jinbo , Liu Honglei , Tan Chaodong , Hou Pengkun , Song Wenrong 
Published: November 2021

Abstract
In view of the problems that there are many well control risk points and the situation is grim of Xinjiang No.1 gas production plant, this paper carries out the gas well integrity evaluation and risk assessment, and establishes the comprehensive fuzzy evaluation model (FCEM) of gas well integrity. This paper analysed the integrity status of gas wells in Xinjiang No.1 gas production plant, establishes the integrity evaluation index system with well barrier components, real-time dynamic index and management organization as the main influence factors, determines the membership function of each index, calculates the weight of each index by using analytic hierarchy process(AHP), and establishes the risk degree calculation model by using fuzzy comprehensive evaluation, Quantitative analysis of gas well integrity. In this paper, a case study of a well in Xinjiang No.1 gas production plant shows that the model can quantitatively calculate the risk of gas well integrity and provide a reference for early warning of gas well integrity failure.
Model theory and metric convergence II: Averages of unitary polynomial actions
Authors: Dueñez Eduardo , Iovino José 
Published: November 2021

We use model theory of metric structures to prove the pointwise convergence, with a uniform metastability rate, of averages of a polynomial sequence

{

T
n

}

\{T_n\}

(in Leibman’s sense) of unitary transformations of a Hilbert space. As a special case, this applies to unitary sequences

{

U

p
(
n
)

}

\{U^{p(n)}\}

where

p
p

is a polynomial

Z

→

Z

\mathbb {Z}\to \mathbb {Z}

and

U
U

a fixed unitary operator; however, our convergence results hold for arbitrary Leibman sequences. As a case study, we show that the non-nilpotent “lamplighter group”

Z

≀

Z

\mathbb {Z}\wr \mathbb {Z}

is realized as the range of a suitable quadratic Leibman sequence. We also indicate how these convergence results generalize to arbitrary Følner averages of unitary polynomial actions of any abelian group

G

\mathbb {G}

in place of

Z

\mathbb {Z}

.
Exposure to Parental Alcohol Use Is Associated with Adolescent Drinking Even When Accounting for Alcohol Exposure of Best Friend and Peers
Authors: Smit Koen , Zucker Robert A , Kuntsche Emmanuel 
Published: November 2021

Abstract

Aims
To further disentangle the role of exposure to drinking of role models (parents, peers, best friends) in the development of young adolescent alcohol use, the current study examined (a) whether parent’s alcohol use exposure was associated with alcohol use outcomes among adolescents and (b) whether this association remained significant when including best friend and peer drinking exposure.

Methods
A longitudinal study followed 765 adolescents from the Netherlands over 3 years. Adolescents (45.6% male, Mage = 11.78, standard deviation = 0.49 at baseline) completed questionnaires every 6 months, resulting in seven measurement waves. Adolescents reported their own alcohol use and exposure to parental, best friend and peers drinking.

Results
Multilevel regression analyses indicated that parental alcohol use exposure was positively associated with a higher likelihood of adolescent alcohol use in the past 6 months, drinking in the last month and binge drinking in the last month. These associations remained significant when including exposure to peer and best friend’s alcohol use, also when controlling for alcohol use at the previous timepoint (i.e. change in drinking). These associations were also consistent for boys and girls.

Conclusions
Throughout early adolescence, parental alcohol exposure matters for their offspring’s alcohol use, independently of whether peers or their best friend expose them to alcohol or not. Parental alcohol exposure should be considered in prevention efforts to further decrease the number of adolescents that engage in early alcohol use and binge drinking.
Latinx Historicisms in the Present
Authors: Cutler John Alba 
Published: November 2021

Abstract
History is a problem, one that manifests in distinct but interrelated phenomena for Latinx literary studies: first, the pressure on scholars to performatively embody the field; second, the asymmetry of ignorance between scholars of American Literature and Latinx literatures; and third, the presentist orientation of Latinx literary studies. Kandice Chuh argues that diversity management in the field of “American Literature” has led to the segregation of minoritized literatures from dominant literatures under a pernicious logic which distinguishes between aesthetics and politics, reserving the former for white literature and the latter for minoritized literatures. In practice, the distinction between aesthetics and politics is also a distinction between history and identity that makes it possible for racialized subjects to appear in the present wholly formed and wholly subordinate. I argue that Latinx historicism—my shorthand for recent work foregrounding the contingency of Latinx literary histories—offers an urgent corrective to this constrained historical imagination.
Ndufs4 knockout mouse models of Leigh syndrome: pathophysiology and intervention
Authors: van de Wal Melissa A E , Adjobo-Hermans Merel J W , Keijer Jaap , Schirris Tom J J , Homberg Judith R , Wieckowski Mariusz R , Grefte Sander , van Schothorst Evert M , van Karnebeek Clara , Quintana Albert , Koopman Werner J H 
Published: November 2021

Abstract
Mitochondria are small cellular constituents that generate cellular energy (ATP) by oxidative phosphorylation (OXPHOS). Dysfunction of these organelles is linked to a heterogeneous group of multisystemic disorders, including diabetes, cancer, ageing-related pathologies and rare mitochondrial diseases. With respect to the latter, mutations in subunit-encoding genes and assembly factors of the first OXPHOS complex (complex I) induce isolated complex I deficiency and Leigh syndrome. This syndrome is an early-onset, often fatal, encephalopathy with a variable clinical presentation and poor prognosis due to the lack of effective intervention strategies. Mutations in the nuclear DNA-encoded NDUFS4 gene, encoding the NADH:ubiquinone oxidoreductase subunit S4 (NDUFS4) of complex I, induce ‘mitochondrial complex I deficiency, nuclear type 1’ (MC1DN1) and Leigh syndrome in paediatric patients. A variety of (tissue-specific) Ndufs4 knockout mouse models were developed to study the Leigh syndrome pathomechanism and intervention testing.
Here, we review and discuss the role of complex I and NDUFS4 mutations in human mitochondrial disease, and review how the analysis of Ndufs4 knockout mouse models has generated new insights into the MC1ND1/Leigh syndrome pathomechanism and its therapeutic targeting.
Construction and stochastic scale-free modelling of empirical, global, index-case SARS-CoV-2 transmission network
Authors: Singh Vikram , Singh Vikram 
Published: November 2021

Abstract
First reported in Wuhan, the novel coronavirus disease (COVID-19), caused by severe acute respiratory syndrome 2 (SARS-CoV-2) has astonished health-care systems across the globe due to its rapid and simultaneous spread to the neighbouring and distantly located countries. We constructed the first, global, spatio-temporal, index-case transmission network of SARS-CoV-2 or C19-TraNet consisting of $185$ nodes and $196$ edges, by manually curating their travel history information that allowed us to map multiple virus invasion routes, both short- as well as long-range, into different geographical locations. To model the growing C19-TraNet, a novel stochastic scale-free (SSF) algorithm is proposed that accounts for stochastic addition of both nodes as well as edges at each time step. C19-TraNet is characterized by a fourth-order polynomial growth of average connectivity having two growth phases, namely, a Chinese and a European wave separated by a stagnation phase that delayed overall growth by $51$ days, compared to $1000$ corresponding SSF models. Its community structure reveals a heterogeneous grouping of countries, from different WHO regions, suggesting easy invasion of SARS-CoV-2 to susceptible populations through short- as well as long-range transmission. Border control measures initially diminished Chinese wave, however, lack of coordinated actions, multiple transmission routes transported SARS-CoV-2 to remaining countries.
Skin depletion of Kif3a resembles the pediatric atopic dermatitis transcriptome profile
Authors: Stevens Mariana L , Mersha Tesfaye B , Zhang Zhonghua , Kothari Arjun , Khurana Hershey Gurjit K 
Published: November 2021

Abstract
Skin deficiency of kinesin family member 3A causes disrupted skin barrier function and promotes development of atopic dermatitis (AD). It is not known how well Kif3aK14∆/∆ mice approximate the human AD transcriptome. To determine the skin transcriptomic profile of Kif3aK14∆/∆ mice and compare it with other murine AD models and human AD, we performed RNA-seq of full-thickness skin and epidermis from 3- and 8-week-old Kif3aK14∆/∆ mice and compared the differentially expressed genes (DEGs) with transcriptomic datasets from mite-induced NC/Nga, flaky tail (Tmem79ma/ma Flgft/ft), and filaggrin-mutant (Flgft/ft) mice, as well as human AD transcriptome datasets including meta-analysis derived atopic dermatitis [MADAD] and the pediatric atopic dermatitis [PAD]. We then interrogated the Kif3aK14∆/∆ skin DEGs using the LINCS-L1000 database to identify potential novel drug targets for AD treatment. We identified 471 and 901 DEGs at 3 and 8 weeks of age, respectively, in the absence of Kif3a. Kif3aK14∆/∆ mice had 3.5–4.5 times more DEGs that overlapped with human AD DEGs compared to the flaky tail and Flgft/ft mice. Further, 55%, 85% and 75% of 8-week Kif3aK14∆/∆ DEGs overlapped with the MADAD and PAD non-lesional and lesional gene lists, respectively. Kif3aK14∆/∆ mice spontaneously develop a human AD-like gene signature, which better represents pediatric non-lesional skin compared to other mouse models including flaky tail, Flgft/ft and NC/Nga. Thus, Kif3aK14∆/∆ mice may model pediatric skin that is a precursor to the development of lesions and inflammation, and hence may be a useful model to study AD pathogenesis.
An exploratory analysis of general practitioner prescribing patterns in Malaysia using a health insurance claims database
Authors: Su Wen Sing , Thum Chun Mun , Loo Jason S E 
Published: November 2021

Abstract

Objectives
To determine the prescribing patterns and identify potentially inappropriate prescribing practices among general practitioners in the private primary care sector by analysing a large electronic health insurance claims database.

Methods
Medical claims records from February 2019 to February 2020 were extracted from a health insurance claims database. Data cleaning and data analysis were performed using Python 3.7 with the Pandas, NumPy and Matplotlib libraries. The top five most common diagnoses were identified, and for each diagnosis, the most common medication classes and medications prescribed were quantified. Potentially inappropriate prescribing practices were identified by comparing the medications prescribed with relevant clinical guidelines.

Key findings
The five most common diagnoses were upper respiratory tract infection (41.5%), diarrhoea (7.7%), musculoskeletal pain (7.6%), headache (6.7%) and gastritis (4.0%). Medications prescribed by general practitioners were largely as expected for symptomatic management of the respective conditions. One area of potentially inappropriate prescribing identified was inappropriate antibiotic choice. Same-class polypharmacy that may lead to an increased risk of adverse events were also identified, primarily involving multiple paracetamol-containing products, non-steroidal anti-inflammatory drugs (NSAIDs), and antihistamines. Other areas of non-adherence to guidelines identified included the potential overuse of oral corticosteroids and oral salbutamol, and inappropriate gastroprotection for patients receiving NSAIDs.

Conclusions
While prescribing practices are generally appropriate within the private primary care sector, there remain several areas where some potentially inappropriate prescribing occurs. The areas identified should be the focus in continuing efforts to improve prescribing practices to obtain the optimal clinical outcomes while reducing unnecessary risks and healthcare costs.