bluuebunny/crossref_metadata_2025_split huggingface dataset:
Investigation of electrochemical behavior of cerium in LiCl-KCl eutectic molten salt by modeling
Authors: Ding Yuncong , Zhang Xinyu , Xu Xiaorui , Yin Yuan , Zhou Wentao 
Published: August 2024

Abstract
Pyroprocessing is one of the promising candidates for reprocessing the spent nuclear fuel for the sustainable development of nuclear energy. A deep understanding of electrochemical phenomena is indispensable for the precise design and optimal functioning of an electrolytic cell system dedicated to pyroprocessing. In the present study, cyclic voltammetry and electrorefining processes were simulated by the finite element method, and the accuracy of the model was verified by experimental comparison. The influences of initial bulk concentration and temperature on cyclic voltammetry were investigated. The electrorefining process, including the potential distribution, as well as the changes of total current and deposition mass with time, were also explored. The results of this study will contribute significantly to understanding the molten salt electrolysis for pyroprocessing.
Study on the bearing performance of all-steel spiral anchor in silty clay
Authors: Wang Teng , Zhao Yong , Han Wei , Gao Zhiyue , Li Cuiling , Zhang Zhenyue , Zhang Bingliang , Zhu Huimin 
Published: August 2024

Abstract
The all-steel spiral anchor demonstrates exceptional advantages in terms of construction convenience and rapid deployment. To validate its Application in transmission engineering, an extensive field study was conducted to investigate the influence of inclination angle, buried depth, and anchor specifications on its load-bearing performance. The findings reveal that the load-bearing capacity of an individual anchor foundation is significantly influenced by these factors. Specifically, with a constant anchor rod burial length, an increase in the inclination angle leads to a relative decrease in the soil-embedded depth of the spiral anchor, thereby reducing its pull-out resistance. Furthermore, a direct correlation is evident between the pull-out resistance of spiral anchors and their embedment depth. Notably, changes in buried depth have minimal impact in the early stages of loading. However, as the load progressively increases, the force exerted on the anchor plate significantly escalates with displacement, resulting in a growing influence of embedment depth on the anchor’s load-bearing capacity. Enhancing the size and number of anchor components has been observed to have a favorable effect on the overall load-bearing capability of the anchor system. As displacement increases, upward displacement of the anchor plate compresses the surrounding soil, making the anchor plate’s contribution more pronounced and eventually surpassing that of the anchor rod.
A study on SOC prediction enhancement using STEKF in lithium batteries
Authors: Xu Guoqi 
Published: August 2024

Abstract
Accurate State of Charge (SOC) estimation for lithium batteries is essential for optimizing battery performance and lifespan. This research proposes a SOC prediction technique utilizing the Strong Tracking Extended Kalman Filter (STEKF) to overcome the drawbacks of the conventional Extended Kalman Filter (EKF) in highly dynamic and uncertain scenarios. By dynamically modifying the error covariance matrix, STEKF greatly improves the adaptability and precision of the prediction model. Experimental findings indicate that STEKF decreases the Root Mean Square Error (RMSE) from 4.7% to 1.9% at 25°C, surpassing the traditional EKF and providing a more accurate and reliable SOC prediction method for electric vehicle battery management systems (BMS).
Mobile energy storage configuration approach considering multiple operational scenarios
Authors: Zhang Runkai , Zhao Guopeng , Zhang Tongfei , Peng Zepu , Wang Zhiqiang 
Published: August 2024

Abstract
Battery energy storage systems are widely used in the optimal operation of power grids due to their flexible regulation characteristics. This paper analyses the role of modular mobile energy storage applied under normal grid operation scenarios, random component failures, and extreme disaster scenarios in enhancing the benefits of the power system, establishes an optimization planning model to maximize the total net benefits of energy storage allocation in multiple operation scenarios, as well as solves problems through an improved evolutionary algorithm. The arithmetic example uses a real urban distribution network to check the feasibility as well as the effectiveness of the proposed method.
Coordinated method for islanding division and component restoration in active distribution networks aimed at enhanced resilience
Authors: Wang Cunyou , Xu Hang , Chang Xinli , Li Cancan 
Published: August 2024

Abstract
Due to the uncertainties associated with distributed generation output and load power consumption, distribution networks encounter challenges in component restoration and resilience enhancement. This paper proposes a three-layer min-max-min robust optimization model designed for coordinated optimization of islanding division and component restoration in the distribution network. Firstly, constraint models for distributed energy storage, distributed generation, load power consumption, line reconfiguration, component restoration, islanding division, and line power flow are established. Secondly, to maximize the resilience of the distribution network, a robust optimization model is performed with the objective function of minimizing the total load shedding during the component restoration phase. Finally, validated on the IEEE 33-node distribution system, the proposed method demonstrates that it can significantly enhance the resilience of the distribution network, enabling more precise and effective optimization scheduling.
Short-term household power load forecasting based on ICEEMDAN decomposition and CNN-BiLSTM-SA hybrid model
Authors: Shen Ruofeng , Yang Shuanglong 
Published: August 2024

Abstract
In recent years, the introduction of the dual carbon strategy has made the development of new power systems more and more crucial. The accurate and efficient prediction of household load has become a hot topic in this field. This paper proposes a hybrid model based on improved complete ensemble empirical mode decomposition with adaptive noise (ICEEMDAN), integrating convolutional neural networks (CNN), bidirectional long short-term memory (BiLSTM), and self-attention (SA) techniques, and incorporating the wavelet domain denoising (WDD) algorithm to enhance data smoothness. The spatial feature extraction capability of CNN and the bidirectional time series extraction capability of BiLSTM are fully utilized, and the ability of SA to highlight the key historical time node information is combined to reduce the loss of historical information. To validate the effectiveness of this method, real household load data is used for verification. Through comprehensive experimental results comparison from multiple perspectives, it is found that both prediction accuracy and error have been significantly improved, demonstrating great potential for this model in addressing increasingly complex new power systems in electrical engineering applications.
Land-air coupled environmental perception system during the construction phase of pumped storage power stations
Authors: Xu Shuangquan , Li Xiji , Xu Xiaoyan , Dong Haiyang , Liu Qing , Yan Licai , Zhang Yue 
Published: August 2024

Abstract
In response to the unique construction characteristics of pumped storage hydropower projects, this study focuses on selecting suitable onshore environmental monitoring equipment. It investigates a deployment plan for onshore environmental situational awareness devices based on the IOT technology and an aerial-based environmental situational awareness system utilizing a fleet of automated unmanned aerial vehicles. The approach involves adapting data monitoring according to the specific construction features and phases of the power station. When monitoring data indicates a trend exceeding standards, the system issues early warnings and provides disposal methods, which achieves touchless, intelligent, and resource-liberating environmental management, realizing specialized, standardized, and refined supervision of environmental protection. The goal is to enhance the digitalization of power stations while improving efficiency in environmental and water conservation management for pumped storage hydropower projects. The operational and practical outcomes of this project contribute to increased regulatory efficiency, and the proposed approach can be widely applied to other pumped storage projects and extended to projects in water resources or other sectors, fostering a market-oriented application.
Health status identification method of PV plant sensors based on abnormal data analysis
Authors: Yang Fangliao , Wang Weineng , Min Qi , Tan Hongzhi , Tian Jianwei 
Published: August 2024

Abstract
To achieve accurate control of the PV plant, various sensors are deployed. Identifying the health status can improve the safety of PV plants and the accuracy of PV power generation prediction. To enhance the accuracy of sensor fault type identification and make the process interpretable, a method for identifying the health status of PV plant sensors based on abnormal data analysis is proposed. The analysis including general fault types and abnormal data of PV plant sensors is analyzed. A model for detecting the type of abnormal data behavior is established, and fault diagnosis is performed based on the abnormal data behavior to determine the specific faults of the sensors. Experimental verification is carried out using data from three sensors: temperature, humidity, and light intensity in a PV plant. The experimental results show that the method can accurately and comprehensively identify the health status of PV plant sensors, with an accuracy of 99.53%, and an F1-score of 0.9825.
The effect of different Pre-welding microstructure on the final microstructure of CLAM steel after EBW welding
Authors: Liu Zhixian , Zhang Wenfeng , Zhou Qinhe , Yin Jingyun , Huang Canjun , Feng Lulu , Yan Wei 
Published: August 2024

Abstract
In this paper, different pre-weld microstructures of clam steel were obtained by heat treatment, and the seamless connection of the test steel was achieved by EBW welding. The microstructure and fracture morphology of the samples were observed by optical microscope and scanning electron microscope, and the composition of the second phase particles was detected by EDS. The results show that the joint microstructure was mainly composed of the melting zone and HAZ zone. The δ ferrite was detected in the melting zone, and the HAZ zone with fine grains was filled with carbides in and along the grain boundaries. B and N are mainly distributed on the grain boundary, and C exists in the form of a precipitated phase on the grain boundary and in the form of a solid solution in the grain.
The failure mechanism of ammonia suction pipe bursting under fire environment
Authors: Wang Weihua , Chen Jiugong , Li Jiaxing , Hu Li , Jing Weike 
Published: August 2024

Abstract
Liquid ammonia is widely used in the refrigeration industry, which brings serious challenges to the safety control of ammonia refrigeration systems due to its high danger, ease of exploding, and acute poisoning accidents. Current research on ammonia refrigeration equipment mainly focuses on accident hazard analysis, while the study on the failure mechanism of equipment under fire conditions is not deep enough. In this paper, the ammonia suction pipe with burst phenomenon was sampled, and the failure mechanism of the suction pipe under a fire environment was comprehensively studied by means of macroscopic examination, chemical composition analysis, metallographic examination, surface decarburization and fracture analysis, mechanical property test, and simulated heat treatment experiment. The results show that the failure mechanism of a suction pipe under a fire environment is a toughness overload fracture caused by the reduction of material strength. Affected by the high temperature of fire source combustion, the nitriding layer appears on the inner surface, and some decarburization occurs on the outer surface of the suction pipe. The microstructure of the fire-facing surface (the starting position of the tear) undergoes the pearlitic spheroidization phenomenon with the level of 3 grade, which reduces the strength and creep resistance of the material. The liquid ammonia in the pipe is rapidly expanded and gasified under a high-temperature environment, which produces high-pressure stress inside the pipe. Eventually, the pipe burst on the fire-facing surface, where the strength is the weakest.
Effect of shot peening pressure on fretting wear properties of 42CrMoA steel
Authors: Wang Zhiyuan , Yang Xuefeng 
Published: August 2024

Abstract
Due to the complexity and harshness of the spline’s working environment, the wear of teeth micro movement is severe, which will most likely lead to coupling failure and reduce the stability of the aerospace transmission system. This paper carries out air pressure 0.1MPa, 0.2MPa, 0.3MPa, 0.4MPa, and 0.5MPa shot peening on the commonly used material, 42CrMoA steel, to improve the wear resistance of the spline to study the wear resistance of the steel under different air pressure. The test results show that increasing the air pressure of shot peening can make the 42CrMoA steel surface residual stress and hardness first increase and then decrease, the depth of the hardened layer increases, wear resistance is improved, the wear mechanism from adhesive wear to abrasive wear.
An analysis of gear wear and micro-pitting evolution during contact fatigue
Authors: Guan Rongxin , Wang Dongfei , Yu Wentao , Chen Chao , Yang Shufeng 
Published: August 2024

Abstract
This work uses contact fatigue tests to study the wear and micro-pitting evolution on gear teeth. The study reveals a competitive relationship between wear and micro-pitting corrosion in gear contact fatigue. Experimental results demonstrate that micro-pitting initially appears at the root of the carburized and quenched gear teeth and gradually spreads across the entire tooth width during the running-in process. As micro-pitting occurs, the oil film thickness is continuously reduced, leading to the emergence of wear. Micro-pitting and wear coexist and develop competitively, but as the number of cycles reaches 16 million, wear causes the tiny pits on the tooth’s surface to vanish as the wear rate exceeds the expansion rate of micro-pitting. Both micro-pitting and wear alter the tooth surface morphology and profile in distinct manners.
Investigation of a novel 2.5 MV sintered diamond target beam for intracranial linac-based stereotactic treatments
Authors: Borsavage Jennifer M , Cherpak Amanda J , Robar James L 
Published: August 2024

Abstract

Purpose. This work investigates the small-field dosimetric characteristics of a 2.5 MV sintered diamond target beam and its feasibility for use in linac-based intracranial stereotactic treatments. Due to the increased proportion of low energy photons in the low-Z beam, it was hypothesized that this novel beam would provide sharper dose fall-off compared to the 6 MV beam owing to the reduced energy, and therefore range, of secondary electrons. Methods. Stereotactic treatments of ocular melanoma and trigeminal neuralgia were simulated for 2.5 MV low-Z and 6 MV beams using Monte Carlo to calculate dose in a voxelized anatomical phantom. Two collimation methods were investigated, including a 5 × 3 mm2 HDMLC field and a 4 mm cone to demonstrate isolated and combined effects of geometric and radiological contributions to the penumbral width. Results. The measured 2.5 MV low-Z dosimetric profiles demonstrated reduced penumbra by 0.5 mm in both the inline and crossline directions across all depths for both collimation methods, compared to 6 MV. In both treatment cases, the 2.5 MV low-Z beam collimated with the 4 mm cone produced the sharpest dose fall off in profiles captured through isocenter. This improved fall-off resulted in a 59% decrease to the maximum brainstem dose in the trigeminal neuralgia case for the 2.5 MV low-Z MLC collimated beam compared to 6 MV. Reductions to the maximum and mean doses to ipsilateral and contralateral OARs in the ocular melanoma case were observed for the 2.5 MV low-Z beam compared to 6 MV with both collimation methods. Conclusions. While the low dose rate of this novel beam prohibits immediate clinical translation, the results of this study support the further development of this prototype beam to decrease toxicity in intracranial SRS treatments.
Investigation of the beam quality and dose rate dependence of PAKAG polymer gel dosimeter in optical readout technique
Authors: Abtahi Seyed Mohammad Mahdi , Habibi Fatemeh 
Published: August 2024

Abstract
This study aims to evaluate the optical response dependence of the PAKAG polymer gel dosimeter on photon energy and dose rate. The produced gel dosimeters were irradiated using a Varian CL 21EX medical linear accelerator with delivered doses of 0, 2, 4, 6, 8, and 10 Gy. To examine the response dependence on the delivered dose rate, dose rates of 50, 100, 200, and 350 cGy min−1 were investigated. Additionally, two incident beam qualities of 6 and 18 MV were examined to study the response dependence on the incident beam energy. The irradiated polymer gel dosimeters were readout using a UV–vis spectrophotometer in the 300 to 800 nm scan range. The results reveal that a wide variation in dose rate (50–350 cGy.min−1) influences the absorbance-dose response and the sensitivity of PAKAG gel. However, smaller variations did not show a significant effect on the response. Furthermore, the response changed insignificantly with beam quality for investigated energies. It was concluded that the optical reading response of the PAKAG polymer gel dosimeter is satisfactorily independent of external parameters, including dose rate and incident beam quality.
Modeling N2O emissions with remotely sensed variables using machine learning
Authors: Adler Paul R , Nguyen Hai , Rau Benjamin M , Dell Curtis J 
Published: August 2024

Abstract
Nitrous oxide is the largest source of greenhouse gas emissions from crop production. There is significant interest in targeting marginal lands for growing biomass crops, however little information is available on how this will affect N2O emissions from these crops. Furthermore, to characterize N2O emission at the farm level to quantify mitigation using measurements is time intensive, costly, and impractical. We selected a highly diverse watershed varying in soil texture and topography to compare two approaches for modeling soil N2O emissions using machine learning, intensive measurements of soil environment and climate variables, with the other only using remotely sensed variables. We confirmed that soil nitrogen was the most important variable followed by soil environment as influence by soil characteristic, topography, and climate. We also found that the machine learning model built on remotely sensed variables performed as well as when direct site level measurements were available. This finding supports the potential of using remotely sensed data to build machine learning models to characterize soil N2O emissions without the need for intensive soil measurements for entity level assessments.
‘You’re Walking into Situations Where You Just Really Don’t Know How It’s Going to Go Down’: The Production of Carceral Space and Risk in Parole Work
Authors: Norman Mark , Ricciardelli Rosemary , Maier Katharina 
Published: August 2024

Abstract
Following interviews with 150 Canadian federal parole officers employed in prisons or community spaces, we ‘spatialize’ parole work by analysing how participants perceive and navigate risk and use emotional labour in relation to their carceral workspaces. Employing Henri Lefebvre’s theorization of the social production of space, we analyse how parole officers’ feelings of vulnerability arise from the interaction of the built environment with people’s use of space (including both criminalized persons and other correctional workers). We also unpack the strategies employed by parole officers to mitigate the spatial risks experienced in their occupational routines; and examine how these spatial experiences connect to the emotional labour performed by parole officers in their supportive and disciplinary job functions.
Neural substrate for the engagement of the ventral visual stream in motor control in the macaque monkey
Authors: Borra Elena , Gerbella Marzio , Rozzi Stefano , Luppino Giuseppe 
Published: August 2024

Abstract
The present study aimed to describe the cortical connectivity of a sector located in the ventral bank of the superior temporal sulcus in the macaque (intermediate area TEa and TEm [TEa/m]), which appears to represent the major source of output of the ventral visual stream outside the temporal lobe. The retrograde tracer wheat germ agglutinin was injected in the intermediate TEa/m in four macaque monkeys. The results showed that 58–78% of labeled cells were located within ventral visual stream areas other than the TE complex. Outside the ventral visual stream, there were connections with the memory-related medial temporal area 36 and the parahippocampal cortex, orbitofrontal areas involved in encoding subjective values of stimuli for action selection, and eye- or hand-movement related parietal (LIP, AIP, and SII), prefrontal (12r, 45A, and 45B) areas, and a hand-related dysgranular insula field. Altogether these data provide a solid substrate for the engagement of the ventral visual stream in large scale cortical networks for skeletomotor or oculomotor control. Accordingly, the role of the ventral visual stream could go beyond pure perceptual processes and could be also finalized to the neural mechanisms underlying the control of voluntary motor behavior.
Women’s Leadership in Fintech: Cross-Country Evidence
Authors: Khera Purva , Ogawa Sumiko , Sahay Ratna , Vasishth Mahima 
Published: August 2024

Abstract
This paper provides key insights into women’s representation in the fintech industry, and descriptively examines the association between female leadership and firm performance in this industry. Using novel data from fintech firms in over 80 countries, we find that women leaders in this industry remain scarce. Our analysis reveals that firms founded by women are associated with lower firm performance as measured by their estimated revenue and funding acquired, especially for small firms. On the other hand, there is a positive association between gender diversity in executive board and firm performance, especially for mid-to-large sized firms.
A social constructivist viewpoint of media effects: extending the social influence model of technology use to media effects
Authors: Wolfers Lara N 
Published: August 2024

Abstract
New media technologies are often assumed to have negative effects on user’s mental health. However, several studies found no or only small effects. Building on a social constructivist perspective on media effects, this article aims to advance the debate around media’s effect on mental health, theoretically by proposing an extension of the social influence model of technology use. Mirroring the original model’s argumentation for media characteristics, the proposed extension assumes that there is a conceptual difference between perceived and objective media use and that in addition to objective media use, also media use perceptions influence users’ mental health. Finally, it is assumed that media use perceptions are socially constructed, meaning that the social environment influences how an individual perceives their own media use. Previous research supporting the model’s assumption as well as open questions requiring more research are discussed.