bluuebunny/crossref_metadata_2025_split huggingface dataset:
Battery storage to improve the cutter negative effect transient stability control strategy
Authors: Xu Jiaqi , Li Peiqiang , Zhang Lan , Fan Xiuhua 
Published: July 2022

Abstract
To improve the transient stability of power grid, this paper proposes an emergency control strategy considering battery storage to participate in the transient stability of power grid. The phase plane trajectory convexity is used to identify the transient stability of the power grid. After the system is unstable, the dual-machine equivalence is carried out for the multi-machine power system regulated by the energy storage power supply, and the control quantity required by the energy storage power supply to restore the system stability in the single-machine system is calculated. The effectiveness of the control strategy was verified in the EPRI-7 system. The simulation results show that the transient stability emergency control strategy with energy storage power participating in the regulation can effectively improve the transient stability, reduce the emergency control failure, and inhibit the frequency and voltage reduction.
Motion Velocity Detection of Circuit Breaker Operating Mechanism
Authors: Sun Keke , Yang Ke , Ku Zhaoyu , Liu Yu , Dong Huajun 
Published: July 2022

Abstract
The movement speed of the operating mechanism is one of the main factors affecting the breaking performance of the circuit breaker. To accurately detect the movement speed, this paper proposes an image processing method based on LabVIEW virtual instrument and designs a set of software and hardware systems for real-time movement speed detection of the operating mechanism. On the basis of the movement images of the operating mechanism collected by the high-speed camera, it uses the image processing module in LabVIEW to pre-process the images. The paper adopts the Laplacian edge detection operators to detect the edges and extract the edge feature information for straight line fitting and data processing. The experimental results show that the detection system can effectively detect the motion state of the operating mechanism, realize the real-time detection of the motion state of the operating mechanism, and provide technical support for the detection of the motion characteristics of the circuit breaker.
Multi-scale based defect detection for automotive glass
Authors: Lv Hui , Huang Shihao , Xie Wenming , Chen Zhe , Guo Zhou , Zhang Xuanxuan 
Published: July 2022

Abstract
Small targets have low resolution and small size. Using the YOLOv3 model may not detect the target object. In view of this situation, this paper improves the YOLOv3 model and proposes a network structure with refined features. The channel feature refinement mechanism is introduced, and four detection scales are designed to prevent small objects from being submerged; and the spatial pyramid structure-Spp module is added to detect five defects of glass. The experimental results show that compared with the YOLOv3 model, the mAP value of the optimized model is 97.22%, and the mAP value of the original version is 92.31%, an increase of 4.91%. In the self-built data set, the accuracy of automotive glass defect recognition reached 97.66%, and the optimized model’s recognition effect on small targets was significantly improved. Compared with the traditional glass defect detection method, the method improves the detection accuracy and the recognition accuracy.
Analysis of Automatic Collision Avoidance Strategy for Unmanned Surface Vessel
Authors: Huang Liang , Zhou GuoQing , Luo Bing 
Published: July 2022

Abstract
Automatic collision avoidance is a key technology in the research of unmanned surface vessel(USV). By establishing the collision avoidance decision coordinate system of USV, this paper estimates the motion parameters of obstacles relative to USV under two different conditions. Based on azimuth measurement information and based on azimuth and distance measurement information at the same time, analyzes the influence of speed and heading change on DCPA and TCPA, then, according to several typical sea encounters, the calculation methods of different collision avoidance decisions are given.
Research on Baseline Extraction Method Based on NMR Spectrogram
Authors: Xiong ShiYong , Zhu Fuli , Xu Daoxu 
Published: July 2022

Abstract
This paper proposes a baseline extraction method based on a nuclear magnetic resonance atlas, which uses the DBSCAN algorithm to cluster the data extracted by the nuclear magnetic resonance spectrometer and determines the baseline of the atlas according to the clustering results. In this paper, the core parameters of the DBSCAN algorithm are improved, and the Eps parameter set is selected by combining k-dist and equal interval division. The optimal number of outliers is obtained based on this set, and the baseline value range is set. Finally, the clustering quality is tested by the silhouette coefficient. The final experiment shows that the accuracy and stability of the baseline set based on the improved DBSCAN clustering algorithm are better.
A DAG-free Method to Event Correlation for Revealing Abnormal Connections of Cloud Instances
Authors: Li Xiaojian , Hu Hangping , Jiang Yiyi , Zhang Zhen , Yang Haopeng , Liu Liqin 
Published: July 2022

Abstract
We proposes an event correlation method with rule evaluation(ECRE) to reveal abnormal connections from cloud Instances. We combine some characteristics of status-pair to categorize all abnormal status-connections as far as possible. Our method can classify abnormal connections of instances but doesn’t require the DAG of tasks. Those labels that unmatched the supervision rules are removed to remain more and better samples for training. The results that our method achieved show high accuracy, and a significant correlation between the accuracy and the usage count of supervision-rules.
A research on the control strategy of automatic charging robot for electric vehicles based on impedance control
Authors: Zhang Hu , Zhu Wenyang , Huang Yuancan 
Published: July 2022

Abstract
In this paper, we conducted a research about the automatic charging robot and develop a kinematic model for the UR5e robot based on the D-H method. And the simulation analysis of the load of the robot joint during the automatic charging gun insertion task was conducted, the robot’s ability to effectively complete the task when the exceeding payload was applied was demonstrated. The force control strategy based on the impedance control and the ARCC concept is proposed. Experiments in a laboratory environment and on a Tesla model 3 electric vehicle have shown that the method is effective in achieving a soft and smooth insertion of the charging gun.
Design of a multi-channel high-resolution TDC based on FPGA
Authors: Huang S. , He Z. , Wen X. , Li X. , Ma Q. , Zheng B. , Xu X. , Yin Z. 
Published: July 2022

Abstract
High-resolution multi-channel time-to-digital converters
(TDC) is an important tool in many physical experiments. In the
HL-2A tokamak device,a real-time double-ring neutron time-of-flight
(TOFII) spectrometer system used to measure the neutron energy
spectrum requires the TDC to have a measurement accuracy of 100 ps
and a number of 90 channels. In the measurement-device-independent
quantum key distribution (MDI-QKD) system, multi-channel and
high-precision TDC is also one of the key factors affecting the
final bit rate.

In this paper, we propose the field programmable gate array (FPGA)
method to develop the TDC. By using the coarse-fine combined
measurement method, we complete the TDC design through the tapped
delay line formed by the internal carry chain of the FPGA. Our
method achieves a time measurement of 90 channels and a time
resolution of 52 ps.
Biofabricated functionalized graphene quantum dots (fGQDs): unraveling its fluorescence sensing mechanism of human telomerase reverse transcriptase (hTERT) antigen and in vitro bioimaging application
Authors: Tade Rahul Shankar , Patil Pravin Onkar 
Published: July 2022

Abstract
Lung cancer (LC) is a deadly malignancy that is posing a serious threat to human health. Therefore, early detection of LC biomarkers is the key to reducing LC-related fatalities. Herein, we present the first fluorescent-based selective detection of LC biomarker human telomerase reverse transcriptase (hTERT) using polyethyleneimine (PEI) functionalized graphene quantum dots (fGQDs). One-pot in situ synthesis of amine-functionalized GQDs was accomplished by hydrothermal carbonization of biowaste-derived cellulose and PEI. Synthesized fGQDs were characterized by various analytical techniques. Synthesized fGQDs not only exhibited enhanced fluorescence life-time but also excellent stability in the different solvents compared to bare GQDs. The surface activation of hTERT-Ab by carbodiimide chemistry (EDC-NHS) resulted in stacking interactions with fGQDs, involving adsorption-desorption as well as competitive mechanisms. The higher inherent affinity of hTERT-Ag (hTERT antigen) for hTERT-Ab (hTERT antibody) resulted in complex formation and recovery of fGQD fluorescence. As a result, this fluorescence sensing demonstrated a greater linear detection range (0.01 ng ml−1–100 μg ml−1) as well as a notable low detection limit (36.3 pg ml−1). Furthermore, the fabricated immunosensor (Ab@fGQDs) has excellent stability and performance in real samples, with an average recovery of 97.32%. The results of cytotoxicity and cellular bioimaging study in A549 cells show that fGQDs can be used for additional nanotherapeutics and biological applications.
Tracing the influence of caffeine on the pharmacokinetic parameters of three headache relieving pharmaceuticals applying synchronous fluorescence spectroscopy
Authors: Wahba M E K , El Sherbiny D , El Enany N , Draz Mohammed E 
Published: July 2022

AbstractA simple, sensitive, and selective first derivative synchronous fluorimetric method was developed and optimized to track the influence of caffeine content in beverages on the pharmacokinetic parameters of three pharmaceuticals used in relieving headache namely, aspirin (ASP), ibuprofen (IBU), and ergotamine tartrate (ERG). A full validation procedure was carried out to impart validity to the proposed method to apply it to biological fluids. The unique dissolving power of micellar solutions was utilized to avoid multiple extraction steps for both thein vitroandin vivoexperiments, aiming to obtain acceptable recoveries and to accomplish sustainability, where 0.1 M sodium dodecyl sulphate (SDS) was used for this purpose. Moreover, the developed bioanalytical method was subjected to full validation to avoid interferences emerging from biological matrices. The greenness of the proposed method was assessed according to the Analytical Eco-Scale and proved to be excellent green carrying a score of 98%.
Effects of Ce(NO3)3 concentration on microstructure and properties of plasma electrolytic oxidation layer on 6061 alloy
Authors: Shang Jian , Liu Fu , Gu Gaoyang , Meng Lingyao 
Published: July 2022

Abstract
Plasma electrolytic oxidation treatment of 6061 Al alloy was carried out in a sodium silicate and sodium hydroxide alkaline electrolyte containing different concentrations of cerium nitrate (Ce (NO3)3) under constant current mode. The effects of Ce (NO3)3 concentration on the roughness, cross section and surface morphology, composition and phase composition, adhesion force and corrosion resistance of the prepared layer were studied by means of true color microscope, scanning electron microscope, x-ray energy spectrometer, x-ray diffractometer, micrometer scratcher and electrochemical workstation. The results show that with the increase of Ce(NO3)3 concentration in the electrolyte, the thickness of the plasma electrolytic oxidation layer increases gradually, and the micropores and cracks increase, and the roughness increases first and then decreases. The plasma electrolytic oxidation layers under different concentrations of Ce (NO3)3 are mainly composed of α-Al2O3, γ-Al2O3 and a small amount of Al2SiO5. The Ce element in the layer is mainly present in the form of a mixture of Ce(OH)4, CeO2 and Ce2O3.The increase of Ce (NO3)3 concentration reduces the binding strength between the plasma electrolytic oxidation layer and the matrix, increases the self-corrosion potential, decreases the self-corrosion current, and weakens the corrosion resistance. The layer with a concentration of 0.25 g l−1 Ce (NO3)3 has less micropores and cracks, and has the better compactness. The bonding strength between the layer and the substrate is 27 N, the corrosion current density is 3.42 × 10−9A cm−2 and corrosion potential is −0.72 V, the best bonding strength and corrosion resistance is presented.
Portable sequencing of Mycobacterium tuberculosis for clinical and epidemiological applications
Authors: Gómez-González Paula J , Campino Susana , Phelan Jody E , Clark Taane G 
Published: July 2022

Abstract
With &gt;1 million associated deaths in 2020, human tuberculosis (TB) caused by the bacteria Mycobacterium tuberculosis remains one of the deadliest infectious diseases. A plethora of genomic tools and bioinformatics pipelines have become available in recent years to assist the whole genome sequencing of M. tuberculosis. The Oxford Nanopore Technologies (ONT) portable sequencer is a promising platform for cost-effective application in clinics, including personalizing treatment through detection of drug resistance-associated mutations, or in the field, to assist epidemiological and transmission investigations. In this study, we performed a comparison of 10 clinical isolates with DNA sequenced on both long-read ONT and (gold standard) short-read Illumina HiSeq platforms. Our analysis demonstrates the robustness of the ONT variant calling for single nucleotide polymorphisms, despite the high error rate. Moreover, because of improved coverage in repetitive regions where short sequencing reads fail to align accurately, ONT data analysis can incorporate additional regions of the genome usually excluded (e.g. pe/ppe genes). The resulting extra resolution can improve the characterization of transmission clusters and dynamics based on inferring closely related isolates. High concordance in variants in loci associated with drug resistance supports its use for the rapid detection of resistant mutations. Overall, ONT sequencing is a promising tool for TB genomic investigations, particularly to inform clinical and surveillance decision-making to reduce the disease burden.
More accurate estimation of cell composition in bulk expression through robust integration of single-cell information
Authors: Karimnezhad Ali 
Published: July 2022

Abstract

Motivation
The rapid single-cell transcriptomic technology developments have led to an increasing interest in cellular heterogeneity within cell populations. Although cell-type proportions can be obtained directly from single-cell RNA sequencing (scRNA-seq), it is costly and not feasible in every study. Alternatively, with fewer experimental complications, cell-type compositions are characterized from bulk RNA-seq data. Many computational tools have been developed and reported in the literature. However, they fail to appropriately incorporate the covariance structures in both scRNA-seq and bulk RNA-seq datasets in use.

Results
We present a covariance-based single-cell decomposition (CSCD) method that estimates cell-type proportions in bulk data through building a reference expression profile based on a single-cell data, and learning gene-specific bulk expression transformations using a constrained linear inverse model. The approach is similar to Bisque, a cell-type decomposition method that was recently developed. Bisque is limited to a univariate model, thus unable to incorporate gene-gene correlations into the analysis. We introduce a more advanced model that successfully incorporates the covariance structures in both scRNA-seq and bulk RNA-seq datasets into the analysis, and fixes the collinearity issue by utilizing a linear shrinkage estimation of the corresponding covariance matrices. We applied CSCD to several publicly available datasets and measured the performance of CSCD, Bisque and six other common methods in the literature. Our results indicate that CSCD is more accurate and comprehensive than most of the existing methods.

Availability and implementation
The R package is available on https://github.com/empiricalbayes/CSCDRNA.
Island of misfit tortoises: waif gopher tortoise health assessment following translocation
Authors: McKee Rebecca K , Buhlmann Kurt A , Moore Clinton T , Allender Matthew C , Stacy Nicole I , Tuberville Tracey D 
Published: July 2022

Abstract
Translocation, the intentional movement of animals from one location to another, is a common management practice for the gopher tortoise (Gopherus polyphemus). Although the inadvertent spread of pathogens is a concern with any translocation effort, waif tortoises—individuals that have been collected illegally, injured and rehabilitated or have unknown origins—are generally excluded from translocation efforts due to heightened concerns of introducing pathogens and subsequent disease to naïve populations. However, repurposing these long-lived animals for species recovery is desirable when feasible, and introducing waif tortoises may bolster small populations facing extirpation. The objective of this study was to assess the health of waif tortoises experimentally released at an isolated preserve in Aiken County, SC, USA. Our assessments included visual examination, screening for 14 pathogens using conventional or quantitative polymerase chain reaction (qPCR) and haematological evaluation. Of the 143 individuals assessed in 2017 and 2018, most individuals (76%; n = 109 of 143) had no overt clinical evidence of disease and, when observed, clinical findings were mild. In both years, we detected two known tortoise pathogens, Mycoplasma agassizii and Mycoplasma testudineum, at a prevalence of 10.2–13.9% and 0.0–0.8%, respectively. Additionally, we found emydid Mycoplasma, a bacterium commonly found in box turtles (Terrapene spp.), in a single tortoise that showed no clinical evidence of infection. The presence of nasal discharge was an important, but imperfect, predictor of Mycoplasma spp. infection in translocated tortoises. Hemogram data were comparable with wild populations. Our study is the first comprehensive effort to assess pathogen prevalence and hemogram data of waif gopher tortoises following translocation. Although caution is warranted and pathogen screening necessary, waif tortoises may be an important resource for establishing or augmenting isolated populations when potential health risks can be managed.
Aeromonas salmonicida intraspecies divergence revealed by the various strategies displayed when grazed by Tetrahymena pyriformis
Authors: Paquet Valérie E , Durocher Alicia F , Charette Steve J 
Published: July 2022

Abstract
Worldwide, Aeromonas salmonicida is a major bacterial pathogen of fish in both marine and freshwater environments. Despite psychrophilic growth being common for this species, the number of characterized mesophilic strains is increasing. Thus, this species may serve as a model for the study of intraspecies lifestyle diversity. Although bacteria are preyed upon by protozoan predators, their interaction inside or outside the phagocytic pathway of the predator can provide several advantages to the bacteria. To correlate intraspecies diversity with predation outcome, we studied the fate of psychrophilic and mesophilic strains of A. salmonicida cocultured with the ciliate Tetrahymena pyriformis. A total of three types of outcome were observed: digestion, resistance to phagocytosis, and pathogenicity. The psychrophilic strains are fully digested by the ciliate. In contrast, the mesophilic A. salmonicida subsp. pectinolytica strain is pathogenic to the ciliate. All the other mesophilic strains display mechanisms to resist phagocytosis and/or digestion, which allow them to survive ciliate predation. In some cases, passage through the phagocytic pathway resulted in a few mesophilic A. salmonicida being packaged inside fecal pellets. This study sheds light on the great phenotypic diversity observed in the complex range of mechanisms used by A. salmonicida to confront a predator.
Transcriptome analysis of peach fruit under 1-MCP treatment provides insights into regulation network in melting peach softening
Authors: Qian Jianpu , Zhao Yingjie , Shi Yanna , Chen Kunsong 
Published: July 2022

Abstract
Peach (Prunus persica L.) displays distinguish texture phenotype during postharvest, which could be classified into three types, including melting flesh (MF), non-melting flesh, and stony-hard. MF peach would soften rapidly with an outbreak of ethylene production, which causes huge wastage during fruit transportation and storage. 1-Methylcyclopropene (1-MCP) was used to alleviate fruit softening. In this study, we performed RNA-sequencing on two MF peach cultivars (‘YuLu’ and ‘Yanhong’) after 1-MCP treatment to identify the candidate genes participating in peach fruit softening. A total of 167 genes were identified by weighted gene coexpression network analysis and correlation analysis that could respond to 1-MCP treatment and might be related to softening. Among them, 5 auxin-related genes including 2 indole-3-acetic acid, 1 auxin response transcription factor and 2 small auxin-up RNAs, and 4 cell wall modifying genes (PpPG1, PpPG2, PpPG24 and PpPMEI) were characterized as key genes participating in MF peach softening. Furthermore, 2 transcription factors, which belong to HD-ZIP and MYB, were predicted as candidates regulating softening process by constructing a transcriptional network of these 4 cell wall modifying genes combined with expression pattern analysis, of which HD-ZIP could trans-activate the promoter of PpPG1.
Beyond editing, CRISPR/Cas9 for protein localization: an educational primer for use with “A dCas9-based system identifies a central role for Ctf19 in kinetochore-derived suppression of meiotic recombination”
Authors: McVey Shelby L , Olson Mischa A , Pawlowski Wojciech P , Nannas Natalie J 
Published: July 2022

Abstract
CRISPR/Cas9 has dramatically changed how we conduct genetic research, providing a tool for precise sequence editing. However, new applications of CRISPR/Cas9 have emerged that do not involve nuclease activity. In the accompanying article “A dCas9-based system identifies a central role for Ctf19 in kinetochore-derived suppression of meiotic recombination,” Kuhl et al. utilize a catalytically dead Cas9 to localize proteins at specific genomic locations. The authors seek to understand the role of kinetochore proteins in the suppression of meiotic recombination, a phenomenon that has been observed in centromere regions. By harnessing the power of CRISPR/Cas9 to bind specific genomic sequences, Kuhl et al. localized individual kinetochore proteins to areas of high meiotic recombination and assessed their role in suppression. This primer article provides undergraduate students with background information on chromosomes, meiosis, recombination and CRISPR/Cas9 to support their reading of the Kuhl et al. study. This primer is intended to help students and instructors navigate the study’s experimental design, interpret the results, and appreciate the broader scope of meiotic recombination and CRISPR/Cas9. Questions are included to facilitate discussion of the study.