bluuebunny/crossref_metadata_2025_split huggingface dataset:
Health state estimation of lithium ion batteries based on electrochemical impedance spectroscopy
Authors: Zhao Kelun , Ming Zhimao , Wu Jiajie , Sun Wei 
Published: November 2022

Abstract
The estimation method based on the electrochemical impedance spectrum can comprehensively describe the reaction process of Li-ion battery without causing damage to the battery, and is suitable for estimating the state of health of the battery. In this paper, the equivalent circuit model of Li-ion battery is established by analyzing the ac impedance spectrum of Li-ion battery and the internal reaction process of the battery, and corresponding each component of the model and the composite link with the curve segments in the impedance spectrum, and the model parameters are identified offline with the help of The Nyquist diagram of impedance spectrum. It is found that the charge transfer internal resistance and low-frequency impedance amplitude in the equivalent circuit increase monotonically with the aging of the battery. Then, the temperature compensation coefficient was introduced to solve the influence of temperature factors on the SOH estimation of lithium batteries, And the root mean squared error of SOH estimation before and after temperature compensation was reduced from 31.7 to 3.0, and the sum of squares for Error was reduced from 13054.7 to 19.8, which significantly improved the SOH estimation of batteries with different temperatures; and a model based on BP neural network was constructed, And the correlation coefficient of model prediction was 0.994. Solving the influence of production process differences on SOH estimation of lithium batteries, and the advantages and disadvantages of the two estimation methods are summarized.
Research on stress wave wood nondestructive testing technology
Authors: Wei Xiwen , Du Chunxiao , Xu Shuzheng , Tian Cong , Yang Xinnian , Hu Lina , Pang Peng 
Published: November 2022

Abstract
As a kind of nondestructive testing technology, stress wave technology has the advantages of long propagation distance, strong anti-interference ability and convenient use, and has become one of the important means to detect wood properties and defects at home and abroad. This paper introduces several stress wave wood testing equipment commonly used in the field of wood non-destructive testing at this stage, and analyzes its characteristics. The research status of stress wave wood nondestructive testing technology is analyzed from three aspects: mechanical property testing, internal defect testing and factors affecting stress wave propagation velocity. Finally, the existing problems and development trends of stress wave technology in wood nondestructive testing are discussed to provide reference for further research in this field.
The study and development of UAV digital twin system
Authors: Yang Jianfeng , Huang Chuangmian , Wang Jingru 
Published: November 2022

Abstract
To develop the digital twin system of unmanned aircraft vehicle (UAV), a multi-information fusion and time-varying simulation technology based on the testing data is proposed. And a UAV digital twin system is developed. First, the system composition and the working principle of the UAV digital twin system are introduced, respectively. Second, the Ko displacement theory is applied to realize the integration of the acquired data and the finite element simulation model. Then, the model reduced method is introduced, which can reduce the scale of the finite element model and improve the calculation efficiency. Finally, the experimental verification is carried out. The test results and simulation calculation data show that the relative errors between the proposed calculation method and the test results are within 30%, which meets the requirements of engineering application. The test results show that the proposed UAV digital twin technology is feasible, providing a reference case for the development of UAV digital twin technology, which has practical engineering significance and military value.
Anomaly detection based on temporal convolution Autoencoders
Authors: Wu Lihao , Liang Jiahui 
Published: November 2022

Abstract
Due to the rapid growth of the number of sensors in modern industrial society, detecting outliers in time series has become very important. And unsupervised detection of outliers in time series is a very challenging task. For most detection tasks of time series outliers, the autoencoder is one of the main choices. And the recursive network is usually used in the self-coding network structure. However, recent studies have shown that the network structure using dilated causal convolution performs better than the recursive network in all kinds of sequence modeling. In this paper, the encoder and decoder are network structures based on extended causal convolution The time series are reconstructed and then compared with the original data to calculate the distance between them, so as to identify the outliers. We use the Temporal convolution autoencoders to evaluate anomaly data sets in multiple time series. Our results show that the Temporal convolution autoencoders has better anomaly detection ability. In addition, we learned that the combination of Feature Engineering and super parameters will also have a great impact on the results, so ablation experiments need to be carried out carefully.
A High-precision Digital Measurement System Design based on PSR
Authors: Zhou Jianyang , Guan Linhai , Zhang Kai , Zhang Zhihua , Guo Liqiang , Tao Yu 
Published: November 2022

Abstract
In engineering practice, a constant voltage output control system of synchronous rectifier primary side regulator (PSR) flyback converter is proposed to overcome the sampling defect of the existing digital approximation double line sampling scheme for primary side control synchronous rectifier structure. Regardless of the slope of the sampling waveform and the knee point, the single-output DAC midpoint sampling can achieve high sampling accuracy and good knee point following effect. At the same time, the neutral-point sampling error of the single-output DAC is analyzed, and a sampling compensation scheme which can simultaneously act in continuous current mode (CCM) and discontinuous current mode (DCM) is designed to further correct the sampling voltage obtained by neutral-point sampling, so as to compensate the voltage error of neutral-point sampling. Thus, the output voltage can be accurately constant in DCM and CCM.
ADC Clock Jitter Measurement Based on Simple Coherent Sampling Algorithm
Authors: Zhang Shuoyan , Sun Qinghe , Chen Xiaolong , Wang Bocheng , Li Yifan 
Published: November 2022

Abstract
In a high-speed sampling system, the clock jitter of analog-to-digital converters (ADCs) will greatly affect its sampling accuracy, leading to the reduction of the signal-to-noise ratio (SNR) of the system output. Therefore, it is necessary to compensate the sampling results to reduce the sampling error caused by clock jitter by measuring the distribution sequence of jitter. In this paper, the influence of clock jitter on the ADC sampling process is analyzed, and an ADC clock jitter measurement scheme based on a simple coherent sampling algorithm is investigated. This scheme can accurately measure the distribution sequence of clock jitter, and has the characteristics of low computational complexity and high precision. The simulation results show that this algorithm can accurately measure the clock jitter sequence with root-mean-square (RMS) greater than 5ps when the amplitude noise of the input signal is greater than 35dB, and the relative error is less than 5%.
A new type of vertical wall-climbing robot
Authors: Lin Jinfan , Ren Zeming , Hong Xiaobin 
Published: November 2022

Abstract
Using robots to replace human beings to achieve large-scale automatic operations has become an inevitable trend. Wall-climbing robots have important application value in the field of aerial work. For the existing wall-climbing robots have limitation on movement flexibility and overcome own gravity by adsorption friction, this paper innovatively proposes a wall-climbing robot with suspension traction, back push adsorption and McNum wheel driving. Meanwhile, an electronic control system and control algorithm are designed. Experiments results show that the wall-climbing robot has advantages of high relative load, omnidirectional movement, strong continuity of movement and smooth operation.
Tool life prediction based on multi-source feature PSO-SVR neural network
Authors: Wang Ji , Zhou Jian , Mo Wen-An , Liang Chao , Sun Li-Jun , Wen Chun-Bo 
Published: November 2022

Abstract
With the continuous improvement of modern manufacturing automation and process intensification, the complexity of tools and machined parts has greatly increased, and their performance directly affects the quality of workpieces and production efficiency. Accurate prediction of tool life is conducive to improving production efficiency and reducing enterprise costs. In this paper, a tool life prediction method based on multi-source feature PSO-SVR neural network is proposed. By monitoring and collecting the current and vibration signals of the tool during the machining process of CNC machine tools, the time-frequency eigenvalues are extracted. The effective features are extracted by feature selection technology as the input of support vector regression (SVR) neural network, and the parameters of the network are optimized by particle swarm optimization (PSO), so as to improve the accuracy of the predict, and finally predict the remaining useful life(rul) of the tool.
Calculate ground state energy of Hydro Helium Cation (2+) by Restricted Open shell Hartree Fork method
Authors: Khurshid Ayesha , Hashmi Zehra , Ahmed Irfan 
Published: November 2022

Abstract
In this study, the focus is to calculate the ground state energy of the Hydro Helium Cation (2+) with the help of the Open Shell Restricted Hartree-Fock (ROHF) method. In this study, Python code was developed for the calculations and run on the high-performing computers. After calculation, we compare our result with previous work in which the ground state energy of the same molecule was calculated by using the same programming language but with different approximation method. There is some difference in value, and this is due to taking different trial wave functions, approximation of methods, limitations of programming techniques, and our computational knowledge.
Darcy-Forchheimer flow of Cu/TiO2
nanoliquid past a stretching sheet with heat generation/consumption
Authors: Divya S , Eswaramoorthi S , Loganathan K 
Published: November 2022

Abstract
The present study explores the Darcy-Forchheimer flow of a water-based Cu/TiO2
nanoliquid with heat generation/consumption. The appropriate transformations are used to transform the coupled non-linear PDEs into ODEs and these equations are solved numerically by MATLAB bvp4c procedure. The effect of various physical parameters on velocity, temperature, skin friction coefficient and local Nusselt number are reported in tabular and graphical format. The velocity of both directions decreases for the larger quantity of porosity and suction/injection parameters. The temperature of the fluid increases when strengthening the heat production/consumption parameter and it reduces by varying the values of the Prandtl number. The surface shear stress increases when rising the Darcy-Forchheimer number. The local Nusselt number diminishes when escalating the suction/injection parameter.
A Construction Method of Hybrid Wireless Link Topology VDCell
Authors: Du Ying , Tang Chenghan , Zhang Shuo 
Published: November 2022

Abstract
With the development of cloud computing, the data center network is undergoing great changes. The traditional wired data center network needs a large number of wired links, so it takes huge resources to deploy. For the wireless data center network, although the line installation is simple and the maintenance cost is reduced, the wireless transmission signal is easily blocked. Therefore, this paper proposes a hybrid data center network VDCell based on VLC link, and designs a rule to connect wireless links. Compared with the original DCell topology, it has the following advantages: First of all, the VLC link can be directly installed and used, without centralized control in VDCell, so no additional equipment is needed. Secondly, it is only necessary to add wireless links to the original structure, and the design rules are used to construct the structure, which shortens the communication path length between servers and is very simple to deploy. The increase of data links makes the structure more fault-tolerant. In addition, this paper also proposes a unicast routing algorithm.
A clustering algorithm based on jet algorithms for cross-talk events in neutron detector arrays
Authors: Doğangün O. , Özok F. , Dündar U. , Erduran M.N. 
Published: November 2022

Abstract
A clustering algorithm based on the jet (cascade of
particles descendant from a single particle due to hadronization)
algorithms used in High Energy Physics is presented for
identification of neutron cross-talk events in neutron detector
arrays with one layer by defining a temporal distance function,
instead of transverse energy. Detector simulations on an array of
neutron detectors show a significant improvement when compared with
neighbor rejection technique and the method of gating with
time-of-flight difference.
Increased exposure of Colombian birds to rapidly expanding human footprint
Authors: Ocampo-Peñuela Natalia , Suárez-Castro Andrés Felipe , Díaz-Timoté Jhonatan Julián , Gómez-Valencia Bibiana , Olaya-Rodríguez María Helena , Sánchez-Clavijo Lina María , Correa-Ayram Camilo Andrés 
Published: November 2022

Abstract
Understanding and mapping anthropogenic threats on species distributions is a crucial task in conservation science to identify priority areas and propose appropriate conservation strategies. Yet, there is a big challenge to quantify how these threats are associated with species distribution patterns at multiple temporal scales. For birds, existing national and global analyses have mostly focused on forest specialists and they tend to consider only one time period. Here, we evaluated spatial and temporal changes in human footprint within the distributions of Colombian birds from 1970 to 2018, and projected them into 2030. We show that widespread increases in human footprint were common within the distribution of terrestrial birds. Endemic and threatened birds have been disproportionately affected by past increases in human footprint within their distribution, and this trend will continue into the future. Several areas harboring high diversity of forest-specialists remained relatively intact up to 2018. However, our predictions show significantly higher and faster (>2% annual change) levels of transformation within these areas by 2030. Importantly, our results suggest that non-forest birds could be experiencing habitat quality declines that are just as significant as those shown for forest birds. Our results show that mitigating negative anthropogenic effects on bird habitats in Colombia requires an array of conservation strategies that range from strict habitat protection to mixed management. These analyses can serve as inputs in conservation decision tools that consider spatiotemporal variation of anthropic threats under multiple scenarios of change.
Determination of Paris parameters from S−N curve in the simulation of fatigue in Nomex honeycomb sandwich structures
Authors: Tripurari  , Jamil Azhar 
Published: November 2022

Abstract
Determination of S-N and Paris parameters form the two primary approaches as far as fatigue testing is concerned. With many economic factors and complexities involved in experimentation, these approaches are not related to each other and require implementation of separate test standards for both of them. In this work, an attempt is made on the interconvertibility of these experimental parameters and a numerical technique based on the virtual crack closure technique (VCCT) is proposed for the evaluation of Paris parameters from S−N curve, corresponding to four-point bending end notched flexural (4ENF) sandwich specimen made up of Nomex® aramid honeycomb core with glass fibre reinforced composite (GFRP) facesheets. VCCT was effectively utilised for the estimation of strain energy release rates (SERR), in both 2D plane stress/strain and 3D conditions, which were compared with each other, and the resultant was incorporated with the S−N data for the determination of parameters of the Paris curve. These determined parameters were employed for the simulation of fatigue delamination growth by using ‘Direct Cyclic’ step and compared with the results obtained from the literature. The comparison revealed a good agreement between the two, thereby validating the proposed technique.
Benchmarking quantum error-correcting codes on quasi-linear and central-spin processors
Authors: Finsterhoelzl Regina , Burkard Guido 
Published: November 2022

Abstract
We evaluate the performance of small error-correcting codes, which we tailor to hardware platforms of very different connectivity and coherence: on a superconducting processor based on transmon qubits and a spintronic quantum register consisting of a nitrogen-vacancy center in diamond. Taking the hardware-specific errors and connectivity into account, we investigate the dependence of the resulting logical error rate on the platform features such as the native gates, native connectivity, gate times, and coherence times. Using a standard error model parameterized for the given hardware, we simulate the performance and benchmark these predictions with experimental results when running the code on the superconducting quantum device. The results indicate that for small codes, the quasi-linear layout of the superconducting device is advantageous. Yet, for codes involving multi-qubit controlled operations, the central-spin connectivity of the color centers enables lower error rates.
Interaction between C1-microorganisms and plants: contribution to the global carbon cycle and microbial survival strategies in the phyllosphere
Authors: Yurimoto Hiroya , Sakai Yasuyoshi 
Published: November 2022

ABSTRACT
C1-microorganisms that can utilize C1-compounds, such as methane and methanol, are ubiquitous in nature, and contribute to drive the global carbon cycle between two major greenhouse gases, CO2 and methane. Plants emit C1-compounds from their leaves and provide habitats for C1-microorganisms. Among C1-microorganisms, Methylobacterium spp., representative of methanol-utilizing methylotrophic bacteria, predominantly colonize the phyllosphere and are known to promote plant growth. This review summarizes the interactions between C1-mircroorganisms and plants that affect not only the fixation of C1-compounds produced by plants but also CO2 fixation by plants. We also describe our recent understanding of the survival strategy of C1-microorganisms in the phyllosphere and the application of Methylobacterium spp. to improve rice crop yield.
Synthesis of aglycones, structure–activity relationships, and mode of action of lycosides as inhibitors of the asexual reproduction of Phytophthora
Authors: Kato Fumika , Ando Yuka , Tanaka Aiko , Suzuki Takamasa , Takemoto Daigo , Ojika Makoto 
Published: November 2022

ABSTRACT
Phytophthora are plant pathogens that damage agricultural products. Lycosides (1a–d), found in vegetable juice, have the potential to curb the rapid outbreak and crop damage caused by the asexual reproduction of Phytophthora. Here, aglycones 2a, b with slightly higher activity than lycosides were synthesized as a diastereomeric mixture (mix-2) possessing activity (IC50 = 4.1 µm) comparable with that of lycosides. The importance of the cyclohexanone structure and side-chain length was demonstrated via structure–activity relationship analysis using synthetic intermediates. In addition, the action mechanism of lycosides was investigated using transcriptome analysis, which revealed a contribution to proline biosynthesis inhibition, a process crucial for the asexual reproduction of Phytophthora. These findings indicate that lycosides (and aglycone) are environmentally benign agents that can be used for protecting agricultural products from Phytophthora pathogens.
Synaptome.db: a bioconductor package for synaptic proteomics data
Authors: Sorokina Oksana , Sorokin Anatoly , Armstrong J Douglas 
Published: November 2022

Abstract

Summary
The neuronal synapse is underpinned by a large and diverse proteome but the molecular evidence is spread across many primary datasets. These data were recently curated into a single dataset describing a landscape of ∼8000 proteins found in studies of mammalian synapses. Here, we describe programmatic access to the dataset via the R/Bioconductor package Synaptome.db, which enables convenient and in-depth data analysis from within the Bioconductor environment. Synaptome.db allows users to obtain the respective gene information, e.g. subcellular localization, brain region, gene ontology, disease association and construct custom protein–protein interaction network models for gene sets and entire subcellular compartments.

Availability and implementation
The package Synaptome.db is part of Bioconductor since release 3.14, https://bioconductor.org/packages/release/data/annotation/html/synaptome.db.html, it is open source and available under the Artistic license 2.0. The development version is maintained on GitHub (https://github.com/lptolik/synaptome.db). Full documentation including examples is provided in the form of vignettes on the package webpage.

Supplementary information
Supplementary data are available at Bioinformatics Advances online.
Does femoroacetabular impingement syndrome affect range of motion? A systematic review with meta-analysis
Authors: Albertoni Davide Bruno , Gianola Silvia , Bargeri Silvia , Hoxhaj Ilda , Munari Alice , Maffulli Nicola , Castellini Greta 
Published: November 2022

Abstract

Background
It is unclear whether femoroacetabular impingement syndrome (FAIS) affect hip range of motion (ROM).

Sources of data
We performed a systematic review with meta-analysis searching six electronic databases from inception to March 21, 2022. We included studies assessing hip ROM in FAIS, FAI morphology without symptoms (FAIm), and healthy controls. Mean differences between groups were measured in ROM degrees with 95% confidence interval (CI).

Areas of agreement
A total of 17 studies (1702 hips) were included. Comparison of FAIS patients versus healthy controls showed that hip ROM was clinically and statistically reduced in FAIS for internal rotation (90° hip flexion, −8.01°, 95% CI: –11.21, −4.90; 0° hip flexion −6.38°, 95% CI: –9.79, −2.97); adduction (90° hip flexion, −4.74°, 95% CI: –8.13, −1.34); flexion (−5.41°, 95% CI: –7.05, −3.49), abduction (0° hip flexion, −5.76°, 95% CI: –8.38, −3.23), and external rotation (90° hip flexion, −3.5°, 95% CI: –5.32, −1.67) ranging from low to high certainty of evidence. Comparison of FAIm versus healthy controls showed no statistically significant differences in any direction of movement, albeit with uncertainty of evidence.

Areas of controversy
The certainty of evidence was unclear, particularly for asymptomatic FAIm.

Growing points
Hip ROM may be reduced in all directions except extension in FAIS compared to controls. Hip ROM may not be restricted in asymptomatic FAIm.

Areas timely for developing research
Further studies are needed to resolve the uncertainty of evidence about ROM restrictions in asymptomatic FAIm compared to healthy controls.