bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Heterogeneous Data Fusion Technology of Substation Secondary Equipment
Authors: Ji Haichao , Zhang Xin , Yu Hai , Jia Deshun , Chang Zhiyu , Lin Kui 
Published: April 2023

Abstract
In intelligent substations, the MMS Lite software package is widely used to realize station control layer network communication based on IEC61850. The protocol uses the BER coding of ASN.1, so there is more redundant information, which affects the transmission efficiency. Under the background of domestic independent control in the domestic power industry, there have been increasingly urgent demands for transforming and upgrading intelligent substations based on MMS protocol. This paper proposes a heterogeneous data fusion method for the secondary equipment of substation monitoring systems, which supports the simultaneous access and data interaction of the bay-level equipment of CMS protocol and MMS protocol. The thread synchronization mechanism is studied to avoid the avalanche data loss caused by transient failure, and improve the safety and reliability of data operation and maintenance, which further improves the support for the operation monitoring, remote access, and other services of the centralized control master station.
Plate Condition Monitoring System Based on LoRa Wireless Transmission
Authors: Xu Kang , Chen Dan , Lin Feng , Tan Qin , Wen Hao 
Published: April 2023

Abstract
In the process of tension stringing of transmission lines, the condition of the plate needs manual reporting, so its safety is poor, and its efficiency is low. To solve this problem, this study constructs a plate condition monitoring system of tension stringing based on the LoRa wireless transmission. This system consists of a data acquisition system, a wireless communication transmission system, and a monitoring and warning center. The STM32 is used to process the data collected by the sensors, and the LoRa wireless communication system is designed by way of adaptive dynamic change of LoRa’s network ID, and the networking mode of the multi-node relay, and the data is sent to the upper computer from a distance, and the upper computer software is implemented by MFC, which can monitor the condition of the plate in real-time. The test results show that the packet loss rate of LoRa is less than 5%, and the condition data of the plate can be transmitted to the monitoring software through LoRa and displayed. This system has the advantages of strong confidentiality, far transmission, and high safety, which can be used for real-time monitoring of the condition of the plate in the process of tension stringing.
Multi-objective Optimization Model of the Bundled Wind-PV-thermal Power Transmission System
Authors: Li Hongqian , Xue Fei , Li Xutao , Li Hao , Tian Bei , Yang Ting 
Published: April 2023

Abstract
Aiming at the optimization problem of the bundled wind-PV-thermal power transmission system considering the renewable energy off-grid fault, this paper first establishes a optimization model to maximize the renewable energy(RE) consumption and minimize the system operation cost, and considers the impact of the renewable energy off-grid fault. Then, a reinforcement learning method for solving optimization model is proposed to solve the optimal output of generations at each time. It can reduce the operating cost and improve the consumption of renewable energy under the influence of off-grid failure. Finally, taking the actual wind farm, PV power station, energy storage station(ESS), and power plant in the northwest as an example, the advantages of the proposed strategy is proven.
A Measurement Amplification Method for TSV Weak Resistance
Authors: Gong Tao , Zeng Sheng , Chen Si , Lu Xiangjun , Shao Dengyun 
Published: April 2023

Abstract
In the TSV electromigration test process, this paper has carried out relevant research on how to accurately measure TSV resistance and make it conducive to the observation of standard instruments, aiming at the problem that the resistance value of TSV reaches the magnitude of a microburst. Observing the resistance value change in the electromigration process is challenging. This paper analyzes and designs a measurement circuit for TSV. This circuit uses the cascade of an integrated amplifier. It combines with the four-probe method to amplify the TSV resistance change signal based on accurate measurement of TSV resistance, which is more conducive to the measurement of standard instruments and makes it easier to observe the change of resistance when TSV electromigration occurs.
Research on lighting fault identification technology of transmission lines based on non-contact sensing
Authors: Jiang Kaihua , Zhu Jinhua , Shao Xianjun , Wang Shaohua , Li Te , Wang Zhenguo 
Published: April 2023

Abstract
According to field operation records, lightning stroke accounts for 60% of transmission line failures. Therefore, it is of great significance to strengthen lightning protection of the power system. However, there are several lightning faults, and the corresponding protection methods differ. Consequently, identifying lightning stroke faults will be beneficial to take corresponding lightning protection measures. This paper investigates the mechanism of different lightning strike faults, and simulates them by a 110kV transmission line EMTP-ATP model. Analysis and simulation show that the direction of tower current represents lightning’s polarity; the insulator voltage’s direction differs when shielding failure or back striking occurs. If insulator flashovers, the voltage of the insulator drops down to zero, and as the transient process comes to an end, the voltage of the insulator on the nearby tower decreases to zero as well; after the occurrence of back striking flashover, the direction of insulator voltage on nearby tower alters. Based on those features, insulator voltage and tower current are introduced as a characteristic signal, and their direction and rms of them are formed as recognition parameters for lightning stroke identification. The EMTP-ATP simulations demonstrate that the proposed method is correct and effective, and the recognition rate of different lightning faults is 100% under the abovementioned method.
Research on remote emergency control breaking device for trolley type circuit breaker switchgear
Authors: Liu Guojian , Sun Ruofeng , Xu Xiaoqing , Deng Qing , Yang Linqing 
Published: April 2023

Abstract
High-voltage transmission and distribution lines use circuit breaker switchgear for stopping and feeding operations. Therefore, if abnormal emergencies in circuit breaker shutdown and transmission, it is urgent to carry out remote control switching to solve the problem that the circuit breaker cannot be operated with power when the remote control fails. This paper develops a trolley type circuit breaker switchgear remote emergency control shunting device, which can remotely shunt the circuit breakers on the switchgear and sink control cabinet manually in situ. And we also discusses the hardware and software design principle as well as the advantage analysis to ensure the personal safety of the operators on site and provide reference for improving the safety, economy, flexibility and reliability of the power grid.
Research on MMC Circulation Suppression Technology
Authors: Yang Xuanyuan , Sheng Yifa 
Published: April 2023

Abstract
Modular multilevel converters (MMCs) are extensively used in flexible high-voltage DC transmission systems. As an important part of them, it plays an important role in the normal use of MMCs. The main additional loss in the system is generated by the second harmonic in the circulating current. By summarizing and comparing current circulation control strategies. Based on the current research status of circulation suppression, we prospect the research direction of the MMC circulating current suppression.
Research on Sensorless Control of Built-in Permanent Magnet Synchronous Motor Based on Extended Kalman Filter Algorithm
Authors: Lu Jianning , Wang Wenbin , Zhang Junshuai , Su Jiaqi 
Published: April 2023

Abstract
The permanent magnet synchronous motor (PMSM) is a system of complex interior structure coupling and nonlinear, variable parameters. In order to track and observe the position and speed of PMSM in real time, the extended Kalman filter (EKF) algorithm is used in this paper to track the speed and position of the built-in PMSM. The influence of the Q and R covariance matrix on the observation effect is studied by using the control variable method of trial and error. The reliability of the EKF on the observation function of velocity position is verified by MATLAB simulation.
Research on automatic correlation technology of virtual circuit in secondary system of intelligent substation
Authors: Zhao Zhicheng , Lu Donghai , Liu Shujun , Chen Shi , Ding Jiwei 
Published: April 2023

Abstract
In this paper, an automatic connection method of virtual terminals based on the distance weight vector optimization model is proposed to realize the automatic connection of virtual terminals. The method defines the similarity of virtual terminal connections based on the edit distance, establishes an optimization model based on the sample data of virtual connections, and uses the particle swarm optimization to calculate the distance weight vector, so that the edit distance similarity can be adapted to the equipment produced by various manufacturers. Finally, the dummy terminals in the two pending IEDs (Intelligent Electronic Devices) are matched based on the similarity, and the matching reliability is given. The calculation example results show that this method can accurately realize the automatic connection of virtual terminals, effectively reduce the workload of substation construction, and improve the design quality of virtual terminals.
Prototype electronics for the silicon pad layers of the future Forward Calorimeter (FoCal) of the ALICE experiment at the LHC
Authors: Bourrion O. , Tourres D. , Guernane R. , Arata C. , Bouly J.-L. , Ponchant N. 
Published: April 2023

Abstract
A Forward Calorimeter (FoCal) has been proposed as part of the ALICE upgrades for data
taking from 2029 onwards. The FoCal will feature a sampling electromagnetic calorimeter segmented
into 110 towers supplemented by a hadron calorimeter. The electromagnetic calorimeter will be
composed of 20 passive layers of tungsten absorber interleaved with 18 active layers of
low-granularity silicon pad sensors and two layers of high-granularity pixel detectors. Each pad
layer will be read out by 110 silicon pad sensors of 72 channels, amounting to a total of 1980
sensors.

This paper describes, from front-end to back-end, the electronics developed to instrument a tower
prototype composed of 18 silicon pad sensors as well as a design proposal for the full-detector
readout system.
Mapping global forest regeneration–an untapped potential to mitigate climate change and biodiversity loss
Authors: Ling Pui-Yu , Aguilar-Amuchastegui Naikoa , Baldwin-Cantello William , Rayden Tim , Gordon James , Dainton Stuart , Bagwill April L , Pacheco Pablo 
Published: April 2023

Abstract
Forest regeneration can be a low-cost solution to mitigate climate change, and mapping its extent can support global goals such as the Bonn Challenge, which set a goal to put 350 million hectares of degraded forests and landscapes into restoration by 2030. Our study combined multiple remote sensing datasets and expert surveys, identifying

55.7
±
6.2

million hectares of likely regenerated forests between 2000 and 2015 across areas that were not forested before 2000 and have remained forested from 2015 to 2018. The identified forest regeneration could potentially represent 22–25 billion young trees and a total biomass of about 3.2 billion tonnes. Forest regeneration took place in sites with less opportunity cost for agriculture for every country, but in more developed regions, forest regeneration took place in sites with higher suitability for cultivation. Expert feedback associated agricultural land use transitions and the establishment of protected areas, coupled with effective management and local support, as the key factors leading to successful forest regeneration. The results, publicly available, can facilitate discussions and help identify strategic locations to foster forest regeneration to achieve the global goals of mitigating climate change and restoring biodiversity.
Towards more inclusive and solution orientated community-based environmental monitoring
Authors: Mercer Louise , Whalen Dustin , Lim Michael , Cockney Kendyce , Cormier Shaun , Irish Charlotte , Mann Paul J 
Published: April 2023

Abstract
Rapid climate-driven environmental change continues to threaten front-line communities that rely on Arctic landscapes to sustain their way of life. Community-Based Monitoring (CBM) can increase our knowledge of environmental change and understanding of human-environment interactions occurring across the Arctic. However, the depth of CBM research outcomes have been limited by an imbalance in contributions from external researchers and community members. A detailed literature analysis revealed that the number of studies documenting CBM approaches in Inuit Nunangat (Inuit homeland in Canada) have increased over the last decade. We identify that bottom-up guiding protocols including the National Inuit Strategy on Research, has increased community engagement in Arctic research processes and equitable outcomes. However, these increases have been concentrated on wildlife-based research where consistent funding streams and pre-existing alignment with community priorities exist. To explore the potential for guiding principles to be more successfully incorporated into impactful CBM, we present a co-developed environmental CBM case study aiming to document and aid understanding of climate-driven landscape change near Tuktoyaktuk, Inuvialuit Settlement Region, Canada since 2018. A foundation of early dialogue and collaborative partnerships between community members and external researchers formed the basis of a community-based climate monitoring program driven by community research priorities. A succession of funded CBM projects at Tuktoyaktuk demonstrated that longer term and resilient climate monitoring can bring together Scientific and Indigenous knowledge systems. Progressing beyond an emphasis on data collection is vital to sustain monitoring efforts, capacity sharing and co-dissemination processes to ensure research is communicated back in a way that is understandable, relevant, and usable to address community priorities. The need for successful CBM is often at odds with current research funding structures, which risks a fragmented mosaic of early-stage initiatives focused on understanding environmental problems rather than sustained and progressive research development towards cooperative solutions.
Lattice Green/Neumann function for the 2D Laplacian operator defined on square lattice on cylinders, tori and other geometries with some applications
Authors: Malik Mamode 
Published: April 2023

Abstract
The lattice Green functions for the discrete planar Laplacian defined on regular square lattice wrapped around cylinders and tori are rigorously defined and obtained in an exact analytic form. The method of images well-known in potential theory is implemented to derive for many other geometries with free boundaries (semi-infinite or finite cylinders and strips, rectangle) the related exact lattice Green-Neumann functions needed to readily solve discrete Neumann problems or, via a Neumann-to-Dirichlet mapping, discrete Dirichlet problems for these flat square lattices. Some applications are thus proposed as explicit expressions of two-point resistances for related resistor networks, and some probability-based characteristics regarding the associated Pòlya’s random walks.
Growing human-scale scala tympani-like in vitro cell constructs
Authors: Aregueta Robles Ulises A , Bartlett-Tomasetig Florence , Poole-Warren Laura A 
Published: April 2023

Abstract
Emerging materials and electrode technologies have potential to revolutionise development of higher resolution next-generation, bionic devices. However, barriers associated with the extended timescales, regulatory constraints, and opportunity costs of preclinical and clinical studies, can inhibit such innovation. Development of in vitro models that mimic human tissues would provide an enabling platform to overcome many of these barriers in the product development pathway. This research aimed to develop human-scale tissue engineered cochlea models for high throughput evaluation of cochlear implants on the bench. Novel mould-casting techniques and stereolithography three-dimensional (3D) printing approaches to template hydrogels into spiral-shaped structures resembling the scala tympani were compared. While hydrogels are typically exploited to support 3D tissue-like structures, the challenge lies in developing irregular morphologies like the scala tympani, in which the cochlear electrodes are commonly implanted. This study successfully developed human-scale scala tympani-like hydrogel structures that support viable cell adhesion and can accommodate cochlear implants for future device testing.
Dimensionality reduction and visualization of single-cell RNA-seq data with an improved deep variational autoencoder
Authors: Jiang Jing , Xu Junlin , Liu Yuansheng , Song Bosheng , Guo Xiulan , Zeng Xiangxiang , Zou Quan 
Published: April 2023

Abstract
Single-cell RNA sequencing (scRNA-seq) is a revolutionary breakthrough that determines the precise gene expressions on individual cells and deciphers cell heterogeneity and subpopulations. However, scRNA-seq data are much noisier than traditional high-throughput RNA-seq data because of technical limitations, leading to many scRNA-seq data studies about dimensionality reduction and visualization remaining at the basic data-stacking stage. In this study, we propose an improved variational autoencoder model (termed DREAM) for dimensionality reduction and a visual analysis of scRNA-seq data. Here, DREAM combines the variational autoencoder and Gaussian mixture model for cell type identification, meanwhile explicitly solving ‘dropout’ events by introducing the zero-inflated layer to obtain the low-dimensional representation that describes the changes in the original scRNA-seq dataset. Benchmarking comparisons across nine scRNA-seq datasets show that DREAM outperforms four state-of-the-art methods on average. Moreover, we prove that DREAM can accurately capture the expression dynamics of human preimplantation embryonic development. DREAM is implemented in Python, freely available via the GitHub website, https://github.com/Crystal-JJ/DREAM.
Granulomatous tattoo reaction treated with topical allopurinol
Authors: Moreno-Casas Guillermo , Pereira-González Antonio , Rodríguez-Nevado Isabel , Rubio-Fernández Alejandro , Chaves-Álvarez Antonio 
Published: April 2023

Abstract
Granulomatous reactions to tattoo ink have been frequently associated with exogenous pigment, although sometimes they are the manifestation of a cutaneous or an underlying systemic sarcoidosis. We report a case of a patient with a granulomatous reaction to a black tattoo pigment treated with 3% topical allopurinol for 3 months. We observed complete resolution without any side-effects. Examination and follow-up ruled out sarcoidosis. Oral allopurinol has been proven to be effective for the management of granulomatous reactions to tattoos. Based on the significant improvement we have described in our patient, we recommend new studies to reveal all the potential benefits of the topical use of allopurinol for the treatment of granulomatous reactions to tattoo ink.
Tracking the temporal dynamics of the face-like inversion effect as revealed by Chinese characters using magnetoencephalography
Authors: Li Chun-Hui , Wang Man-Ying , Kuo Bo-Cheng 
Published: April 2023

Abstract
The neural basis of configural processing has been extensively studied by exploiting face inversion during recognition, and growing evidence has revealed that word inversion also involves changes in configuration. However, the neural dynamics of face-like inversion effects remain unclear. Here, we tracked the temporal dynamics of neural responses that were sensitive to inversion during Chinese character recognition as they occurred during face recognition using multivariate decoding and temporal generalization analyses. We recorded magnetoencephalography while participants performed a one-back task for faces, compound characters, and simple characters with upright and inverted orientations. We showed that the inversion effect (inverted versus upright) can be decoded at occipitotemporal sensors for all stimulus types over and across time points, with a stronger impact on faces and compound characters than on simple characters. The inversion effect occurred earlier and lasted longer for faces than for characters, and the effect was also stronger for compound characters than for simple characters. Finally, we demonstrated inversion effects in the event-related field for all stimulus types and identified their sources in the ventral occipitotemporal areas. Overall, this study provides novel evidence for the temporal dynamics of the face-like inversion effect occurring during Chinese character recognition.
Epidemiology of Suspected and Confirmed Acute Hepatitis E Cases Reported Among Los Angeles County Residents, 2017–2019
Authors: Lautredou Cassandra C , Dao Bonnie , Gounder Prabhu 
Published: April 2023

Abstract
In a 3-year period, 38 of 48 persons testing positive for hepatitis E virus (HEV) immunoglobulin M in Los Angeles County did not meet the acute HEV case definition. Healthcare providers should restrict HEV serologic testing for persons with clinically compatible symptoms or epidemiologic risk factors.
Genetic variance and indirect genetic effects for affiliative social behavior in a wild primate
Authors: McLean Emily M , Moorad Jacob A , Tung Jenny , Archie Elizabeth A , Alberts Susan C 
Published: April 2023

Abstract
Affiliative social behaviors are linked to fitness components in multiple species. However, the role of genetic variance in shaping such behaviors remains largely unknown, limiting our understanding of how affiliative behaviors can respond to natural selection. Here, we employed the “animal model” to estimate environmental and genetic sources of variance and covariance in grooming behavior in the well-studied Amboseli wild baboon population. We found that the tendency for a female baboon to groom others (“grooming given”) is heritable (h2 = 0.22 ± 0.048), and that several environmental variables—including dominance rank and the availability of kin as grooming partners—contribute to variance in this grooming behavior. We also detected small but measurable variance due to the indirect genetic effect of partner identity on the amount of grooming given within dyadic grooming partnerships. The indirect and direct genetic effects for grooming given were positively correlated (r = 0.74 ± 0.09). Our results provide insight into the evolvability of affiliative behavior in wild animals, including the possibility for correlations between direct and indirect genetic effects to accelerate the response to selection. As such they provide novel information about the genetic architecture of social behavior in nature, with important implications for the evolution of cooperation and reciprocity.