bluuebunny/crossref_metadata_2025_split huggingface dataset:
A variable parameter control method for charging pile load aggregator to participate in the fast frequency market
Authors: Chen Jihuan , Zhang Yang , Liu Haifeng , Xing Jianxu , Lu Feng , Zheng Songsong , Zhao Rui 
Published: May 2022

Abstract
With the access of large-scale new energy sources, fast frequency regulation resources of the power system are scarce. A variable parameter control method for charging pile load aggregator to participate in the fast frequency market is proposed in this paper. It is that charging pile load aggregator actively adjusts the active power according to the frequency of the local power system, and the response speed is within 0-2 seconds. In addition, the variable parameter control method proposed in this paper specifically controls the power of charging pile according to the speed and amplitude of frequency drop, which has strong pertinence and simple control scheme, and further improves the frequency stability of the power grid.
Research on the capacity configuration of the “flywheel + lithium battery” hybrid energy storage system that assists the wind farm to perform a frequency modulation
Authors: Yuan Man , Tian LiJun , Jiang Tao , Hu RongBin , Cui Xiaojie 
Published: May 2022

Abstract
In order to reduce the adverse impact of wind power fluctuations on the primary frequency modulation of the grid, based on the operation data and frequency modulation performance of the wind farm power generation equipment, the analysis is carried out, and combined with the characteristics of the “flywheel + lithium battery” hybrid energy storage system, a random time delay hybrid system is constructed. Using wavelet packet to decompose wind power grid-connected power, decoupling lithium battery energy storage and flywheel energy storage components. In order to achieve the goal of maximizing the net present value (NPV), the minimum average annual energy storage cost is taken as the objective function, and the pattern search method based on the Hooke-Jeeves method in the direct search method is used to solve the problem. The simulation results show that the research can ensure the frequency modulation performance of the wind farm-energy storage hybrid system, and at the same time determine the wind farm supporting energy storage capacity based on economic optimization, and the configuration of flywheel energy storage and lithium batteries in the hybrid energy storage system to improve the overall economic benefits of the system.
A method of power-electronized supply accommodation capacity analysis for receiving-end grid based on multi-objective optimization
Authors: He Hailei , Lu Runzhao , Gao Xin , Zhang Jian , Jian Qingzhi , Li Wensheng 
Published: May 2022

Abstract
With the development of renewable energy and high voltage direct current (HVDC) system, the proportion of power-electronized supply in power system is increasing. It creates challenges to the safe and stable operation of the receiving power grid. Reasonable evaluation of the scale of power-electronized supply that can be carried by the receiving-end grid is of great significance to guide power grid construction and maintain its operational safety. Firstly, this paper explains the theory that the unified effective short circuit ratio (UESCR) can reflect the static voltage stability of buses. Then, a multi-objective optimization model, which considers the external dc feed-in, local renewable energy, unit output, and operation constraints, is established to obtain the power-electronized supply accommodation capacity. And it is solved repeatedly by means of cyclic increasing dc feed-in scale and renewable energy penetration. Finally, the effectiveness and practicability of the proposed method are verified in a modified IEEE 39 bus system.
Identification method of abnormal data of electric energy measurement based on BP neural network algorithm
Authors: Liu Shengnan , Ye Zhanqing , Yi Ling , Li Min 
Published: May 2022

Abstract
The problem of unclear power load type exists in the conventional abnormal data identification method of electric energy metering, which leads to a high error percentage. A method of abnormal data identification of electric energy metering based on BP neural network algorithm is designed. In this paper, the data of electric energy measurement are obtained and used to calculate the active power loss. It adjusts the connection weights and thresholds between neurons according to the error function of sample size. In this paper, BP neural network algorithm is used to identify the type of power load, and the time balance data set is constructed. According to the data set discriminant analysis of key behavior pattern characteristics, the abnormal data recognition of power measurement is completed. The experimental results show that the average error percentage of the abnormal data identification method of electric energy measurement in this paper is 0.0233, 0.0530, 0.0539 and 0.0524, respectively, compared with the other three abnormal data identification methods of electric energy measurement. The abnormal data identification method of electric energy measurement in a plain text has higher reliability.
Insulation failure evaluation of SF6 circuit breaker relay coil based on high-frequency equivalent model
Authors: Qin Jian , Peng Yanjun , Wang Lu , Pan Ningbo , Chen Jianxi , Huang Yongqiang , Jiang Wei 
Published: May 2022

Abstract
In order to evaluate the insulation failure of SF6 circuit breaker relay coil, the finite element model of the relay coil was established, and the capacitance inductance matrix was calculated by simulation calculation, and the high-frequency equivalent circuit model of the coil was established. Inject low-voltage square wave pulse signal at the input end of the circuit, and the response curve is detected at the end of the circuit, and the characteristic curve is obtained by combining the response curve under the condition of inter-turn short circuit fault and no fault. The wavelet packet - energy spectrum analysis shows that the energy proportion of each frequency band of the characteristic curve changes when the short-circuit position between turns is different. Taking energy spectrum as input and combining with extreme learning machine to locate inter-turn short circuit fault, the simulation sample analysis shows that the correct rate of fault location is 93.3%.
Research on the influence of distributed generation and its grid connection on power system
Authors: Wu Zhongchao 
Published: May 2022

Abstract
China’s per capita resources are scarce and consumed very quickly. New energy power generation has the characteristics of green, environmental protection and renewable, and it is the main development direction of the current and future power industry. With the continuous expansion of new energy power generation and grid-connected scale, various adverse effects brought to the power grid in the process of grid-connected are gradually emerging and becoming more and more serious.This paper briefly introduces the distributed power generation, and then studies and analyzes various problems brought by the grid connection of new energy to the power system from the four aspects of grid voltage, grid harmonics, grid frequency, and grid protection, and gives some solutions. For example, if the power generation equipment meets the grid-connection standard, a real-time monitoring device for power quality and a dynamic reactive power compensation device can be installed; for harmonic pollution problems, multi-pulse converters and power filter devices can be used; for power quality problems in the distribution network, the structure of the power grid can be optimized., Reasonable selection of the impedance ratio of the circuit, etc.
Research on identification of cable sheath defects based on current analysis of cable sheath
Authors: Hongtao Ren , Ying Zhang 
Published: May 2022

Abstract
This paper presents a method to detect the different types of defects in cross connected cable sheath in a flat 500kV three leaf high voltage cable system with sheath current as input data. Three different defects are analyzed: the loss of electrical continuity of grounding, the short circuit between metal sheath of cable joint segment and the immersion of junction box. The model of cable system is simulated by theoretical analysis and ATP software. The results obtained by these two methods have achieved good consistency.
Aircraft Detection in Remote Sensing Imagery Based on Improved YOLOv4
Authors: Liu Dawei , Gao Shujing 
Published: May 2022

Abstract
A method is provided to resolve the issues of false recognition and lower recall of the you only look once version 4 (YOLOv4) algorithm in the aircraft targets prediction of remote sensing imagery. The method is based on the YOLOv4. According to the characteristics of small size and intensive arrangement of aircraft targets in remote sensing images, the backbone is mended to boost the prediction capacity of smaller targets. To strengthen the transmission and reuse of network features, the connection mode of the residual module in YOLOv4 is changed to the dense connection mode, and the five residual blocks in the backbone network are modified to the corresponding dense connection blocks to reduce the network layers and model redundancy. The experiment results reveal that compared with the YOLOv4, our method can enlarge targets features in smaller image regions, thereby availably increasing the prediction precision of aircraft targets.
Implementation and optimization of the PTOLEMY transverse drift electromagnetic filter
Authors: Apponi A. , Betti M.G. , Borghesi M. , Canci N. , Cavoto G. , Chang C. , Chung W. , Cocco A.G. , Colijn A.P. , D'Ambrosio N. , de Groot N. , Faverzani M. , Ferella A. , Ferri E. , Ficcadenti L. , Gariazzo S. , Gatti F. , Gentile C. , Giachero A. , Hochberg Y. , Kahn Y. , Kievsky A. , Lisanti M. , Mangano G. , Marcucci L.E. , Mariani C. , Messina M. , Monticone E. , Nucciotti A. , Orlandi D. , Pandolfi F. , Parlati S. , Pérez de los Heros C. , Pisanti O. , Polosa A.D. , Puiu A. , Rago I. , Raitses Y. , Rajteri M. , Rossi N. , Rozwadowska K. , Ruocco A. , Strid C.F. , Tan A. , Tully C.G. , Viviani M. , Zeitler U. , Zhao F. 
Published: May 2022

Abstract
The PTOLEMY transverse drift filter is a new concept to
enable precision analysis of the energy spectrum of electrons near
the tritium β-decay endpoint. This paper details the
implementation and optimization methods for successful operation of
the filter for electrons with a known pitch angle. We present the
first demonstrator that produces the required magnetic field
properties with an iron return-flux magnet. Two methods for the
setting of filter electrode voltages are detailed. The challenges of
low-energy electron transport in cases of low field are discussed,
such as the growth of the cyclotron radius with decreasing magnetic
field, which puts a ceiling on filter performance relative to fixed
filter dimensions. Additionally, low pitch angle trajectories are
dominated by motion parallel to the magnetic field lines and
introduce non-adiabatic conditions and curvature drift. To minimize
these effects and maximize electron acceptance into the filter, we
present a three-potential-well design to simultaneously drain the
parallel and transverse kinetic energies throughout the length of
the filter. These optimizations are shown, in simulation, to achieve
low-energy electron transport from a 1 T iron core (or 3 T
superconducting) starting field with initial kinetic energy of
18.6 keV drained to < 10 eV (< 1 eV) in about 80 cm. This
result for low field operation paves the way for the first
demonstrator of the PTOLEMY spectrometer for measurement of
electrons near the tritium endpoint to be constructed at the Gran
Sasso National Laboratory (LNGS) in Italy.
Composite design bioinspired by the mesocarp of Brazil nut (Bertholletia excelsa)
Authors: Sonego M , Sciuti V F , Vargas R , Canto R B , Pessan L A 
Published: May 2022

Abstract
The mesocarp of Bertholletia excelsa is a rich source of inspiration for strong, stiff and damage-tolerant composites. The bioinspired composites developed here are composed of an epoxy matrix with a 3D printed polylactic acid reinforced with 30% of carbon fiber (PLA-30CF) inspired in fibers, and syntactic foam inspired by sclereids. Monotonic and cyclic four-point bending tests and compact tension fracture toughness tests were carried out assisted by digital image correlation (DIC) to evaluate flexural properties, damage tolerance, and the R-curve of the composite. Its microstructure and fracture surface were analyzed by scanning electron microscopy. The mechanical performance of the bioinspired composite is promising: density of 1.0 g cm−3, flexural apparent elastic modulus of 1.6 GPa, and flexural strength six times higher than the neat epoxy, i.e. 17 MPa. Although the PLA-30CF printed structure led to a rising R-curve, the syntactic foam needs optimization to have a synergistic effect.
Folding-assisted plasmonically induced transparency in coupled graphene nanodisks
Authors: Wang Weihua , Zhang Rui 
Published: May 2022

Abstract
Plasmonically induced transparency (PIT), a classical analog of electromagnetically induced transparency in quantum systems, could offer an efficient way to engineer light–matter interaction and thus achieve particular manipulation of light. To realize PIT, the crucial point is the design of two strongly coupled modes, with one bright and the other dark. Common practice often takes dipole resonance as the bright mode, and higher-order resonance as the dark one. Here we present an alternative scheme to realize PIT in coupled graphene nanodisks through mechanical folding, where only fundamental dipole resonances are involved, and the dark mode is derived from two nondegenerate dipole resonances in a folded nanodisk. Two parameters (the folding angle

θ

and rotating angle

φ

) arising from folding can be utilized to tune the PIT. They determine two different PIT windows separately. By varying either one of them, single-window PIT can be switched to double-window PIT, and vice versa. In addition to mechanical operations, the proposed PIT can also be actively tuned by electrostatic gating. To properly understand the mechanism, a theoretical model of two coupled harmonic oscillators is presented, from which the predictions show good agreement with simulations.
Preimplantation triclosan exposure alters uterine receptivity through affecting tight junction protein
Authors: Dong Guangzhu , Sun Rundong , Zhang Rui , Qin Yufeng , Lu Chuncheng , Wang Xinru , Xia Yankai , Du Guizhen 
Published: May 2022

AbstractTriclosan is a broad-spectrum antibacterial agent and widely exists in environmental media and organisms. Triclosan exposure has been reported to have adverse effects on reproduction including embryo implantation disorder. During the embryo implantation window, it is vital that the endometrium develops into a receptive state under the influence of ovarian hormones. However, the effect of triclosan on embryo implantation and endometrial receptivity remains unclear. In the current study, we found a decreased embryo implantation rate, serum estrogen, and progesterone levels in mice exposed to triclosan from gestation days 0.5 to 5.5. Through RNA sequencing (RNA-seq), we identified nearly 800 differentially expressed genes, which were enriched in various pathways, including uterus development, inflammatory response, and immune system processes. Among those enriched pathways, the tight junction pathway is essential for the establishment of the receptive state of the endometrium. Then, genes involved in the tight junction pathway, including Cldn7, Cldn10, and Crb3, were validated by quantitative real-time polymerase chain reaction and the results were consistent with those from RNA-seq. Through immunofluorescence staining and western blotting, we confirmed that the tight junction protein levels of CLDN7 and CRB3 were increased. All these findings suggest that preimplantation triclosan exposure reduces the rate of embryo implantation through upregulating the expression of the tight junction genes and affecting the receptivity of the endometrium. Our data could be used to determine the sensitive time frame for triclosan exposure and offer a new strategy to prevent implantation failure.
Genetic characterization of a missense mutation in the X-linked TAF7L gene identified in an oligozoospermic man
Authors: Ling Li , Li Fangfang , Yang Pinglan , Oates Robert D , Silber Sherman , Kurischko Cornelia , Luca Francis C , Leu N Adrian , Zhang Jinwen , Yue Qiuling , Skaletsky Helen , Brown Laura G , Rozen Steve G , Page David C , Wang P Jeremy , Zheng Ke 
Published: May 2022

Abstract
Although hundreds of knockout mice show infertility as a major phenotype, the causative genic mutations of male infertility in humans remain rather limited. Here, we report the identification of a missense mutation (D136G) in the X-linked TAF7L gene as a potential cause of oligozoospermia in men. The human aspartate (D136) is evolutionally conserved across species, and its change to glycine (G) is predicted to be detrimental. Genetic complementation experiments in budding yeast demonstrate that the conserved aspartate or its analogous asparagine (N) residue in yeast TAF7 is essential for cell viability and thus its mutation to G is lethal. Although the corresponding D144G substitution in the mouse Taf7l gene does not affect male fertility, RNA-seq analyses reveal alterations in transcriptomic profiles in the Taf7l (D144G) mutant testes. These results support TAF7L mutation as a risk factor for oligozoospermia in humans.
Elongating porcine conceptuses can utilize glutaminolysis as an anaplerotic pathway to maintain the TCA cycle
Authors: Seo Heewon , Kramer Avery C , McLendon Bryan A , Cain Joe W , Burghardt Robert C , Wu Guoyao , Bazer Fuller W , Johnson Greg A 
Published: May 2022

Abstract
During the peri-implantation period of pregnancy, the trophectoderm of pig conceptuses utilize glucose via multiple biosynthetic pathways to support elongation and implantation, resulting in limited availability of pyruvate for metabolism via the TCA cycle. Therefore, we hypothesized that porcine trophectoderm cells replenish tricarboxylic acid (TCA) cycle intermediates via a process known as anaplerosis and that trophectoderm cells convert glutamine to α-ketoglutarate, a TCA cycle intermediate, through glutaminolysis. Results demonstrate: (1) that expression of glutaminase (GLS) increases in trophectoderm and glutamine synthetase (GLUL) increases in extra-embryonic endoderm of conceptuses, suggesting that extra-embryonic endoderm synthesizes glutamine, and trophectoderm converts glutamine into glutamate; and (2) that expression of glutamate dehydrogenase 1 (GLUD1) decreases and expression of aminotransferases including PSAT1 increase in trophectoderm, suggesting that glutaminolysis occurs in the trophectoderm through the GLS-aminotransferase pathway during the peri-implantation period. We then incubated porcine conceptuses with 13C-glutamine in the presence or absence of glucose in the culture media and then monitored the movement of glutamine-derived carbons through metabolic intermediates within glutaminolysis and the TCA cycle. The 13C-labeled carbons were accumulated in glutamate, α-ketoglutarate, succinate, malate, citrate, and aspartate in both the presence and absence of glucose in the media, and the accumulation of 13C-labeled carbons significantly increased in the absence of glucose in the media. Collectively, our results indicate that during the peri-implantation period of pregnancy, the proliferating and migrating trophectoderm cells of elongating porcine conceptuses utilize glutamine via glutaminolysis as an alternate carbon source to maintain TCA cycle flux.
The Impact of Periodontitis on Inflammatory Bowel Disease Activity
Authors: Madsen Gorm Roager , Bertl Kristina , Pandis Nikolaos , Stavropoulos Andreas , Burisch Johan 
Published: May 2022

AbstractBackgroundInflammatory bowel disease (IBD) and periodontitis are chronic, progressive, inflammatory diseases with similarly complex pathogeneses that involve an interplay between dysbiotic microbiota and dysregulated immune-inflammatory responses. However, whether the presence of periodontitis is associated with IBD activity and/or its severity remains unknown.MethodsAn online, questionnaire-based study was answered by 1093 patients with IBD, comprising 527 patients with Crohn’s disease and 566 patients with ulcerative colitis. The survey included questions on social demographics; oral health, including the Periodontal Screening Score (PESS); and IBD-related characteristics, including validated disease indices.ResultsIrrespective of disease subtype, patients with a reduced number of teeth and those with self-reported severe periodontitis scored significantly higher on the IBD disability index (number of teeth: coefficient, 4.93 [95% confidence interval {CI}, 1.21–8.66; P = .010]; periodontitis: coefficient, 3.54 [95% CI, 0.27–6.80; P = .034]) and reported increased disease activity in the preceding 12 months (number of teeth: odds ratio [OR], 1.91 [95% CI, 1.36–2.69; P &lt; .001]; periodontitis: OR, 1.71 [95% CI, 1.27–2.31; P &lt; .001]). There was also evidence of a weak association between self-reported severe periodontitis and current disease activity (OR, 1.33; 95% CI, 0.95–1.86; P = .099). However, IBD severity, as a composite parameter of a history of surgery due to IBD and/or treatment with biological therapy, was not associated with possessing a reduced number of teeth (OR, 1.18; 95% CI, 0.77–1.80; P = .451), nor with self-reported severe periodontitis (OR, 1.15; 95% CI, 0.79–1.66; P = .467).ConclusionsPeriodontitis and tooth loss were significantly associated with increased IBD-related disability and more disease activity in the preceding 12 months. Our results suggest that greater attention should be paid to IBD patients’ oral health.