bluuebunny/crossref_metadata_2025_split huggingface dataset:
The carbon trading operation optimization for virtual power plants of industrial parks considering wind power
Authors: Tong Yongjie , Meng Zhen , Qiu Peng , Cui Jia , Ma Jinshi , Tian Yanfeng , Wang Zhe 
Published: April 2023

Abstract
Virtual power plants can participate in power market transactions by combining wind and solar power generation and energy storage technologies, They participate in energy market transactions for aggregating distributed energy and user-side resources, Meanwhile, the carbon trading market is an effective tool to control the greenhouse effect, As a market subject with unlimited potential, VPP of industrial park plays its environmental benefits by participating in the carbon trading market, It is able to promote the growth of VPP benefits and reduce carbon emissions, Firstly, this paper introduces the composition of virtual power plants and the carbon trading market, Secondly, this paper puts forward the influence of the uncertainty of wind turbines on virtual power plants, Thirdly, a virtual power plant model is build under the uncertainty of wind turbines, Finally, the operation of virtual power plants is optimized considering carbon trading, so as to maximize the benefits and explore the carbon reduction capacity of virtual power plants
Material Selection Analysis of UHV AC Double Circuit Steel Pipe Tower Cross Arm Structure
Authors: Wang Zhifei 
Published: April 2023

Abstract
The cross arm of wire is an important part of the UHV tower, and the force and calculated length of the upper and lower main or inclined materials are smaller than the main or inclined materials of the tower, and the two types of section types, Angle steel, and steel pipe, have their own advantages and disadvantages. How to select materials reasonably and give full play to their advantages is an important content of the optimization design of the tower structure. In this paper, the double circuit steel pipe tower of the same UHV project tower is taken as an example, and the main material of the cross arm and the inclined material are selected Angle steel or steel pipe. The research shows that the main material of the cross arm is Angle steel, the main material of the cross arm is suggested to be steel pipe, the front inclined material of the cross arm is steel pipe, and the material selection principle of the cross arm can provide a reference for the future engineering design.
Axial Force Detection Based on Electromagnetic Ultrasonic of Power Bolt
Authors: Wu Zhaobin , Guo Tao , An Zhichong , He Yongfeng 
Published: April 2023

Abstract
Bolts are widely used in industrial production, and the electromagnetic ultrasonic shaft force detection method is designed based on power bolts. Combined with the actual characteristics, the curve is divided into linear and non-linear characteristic curves, and the power bolt’s strength coefficient in the free and tightened states is calculated. The two are determined to establish the calibration model of the power bolt. Design ultrasonic shaft force detection method, combined with different propagation media to compare the emission angle and refraction angle conversion relationship to obtain the ultrasonic shaft force detection relationship formula. Under the four test samples, the characteristic bolt curve was calibrated, and the ultrasonic wave flight time under different bolt clamping lengths was tested. The experimental results showed that all four types of samples could get effective detection results, and the shaft force detection effect of sample 1# was the best.
Research on the High Voltage Near Electric Safety Distance Alarm Device
Authors: Yu Ting , Duan Xiaoli , Yue Yishi , Liu Sanwei , Zeng Zeyu , Duan Jianjia 
Published: April 2023

Abstract
In the process of construction near overhead transmission lines, the safety distance between the crane, tower crane, and live wire is insufficient, which leads to the tripping of lines. It not only causes huge economic losses, but also endangers human life safety. In order to avoid the car accidentally touching live wire, this paper studies a high voltage near electric safety distance alarm device, and introduces the structure and working principle of the device. The voltage signal is measured by the test to reflect the distance between the vehicle and the live wire. The measured voltage signal data is processed and compared with the alarm voltage signal threshold. According to different voltage levels and distances, the high voltage near electric safety distance alarm device can realize voice alarm and remind operators to pay attention to keep a safe distance.
Research on Transmission Line Motion Condition Monitoring Device and Communication Networking
Authors: Dong Yanwu , He Pengjie , Yan Yu , Li Jie , Lu Ziqiang 
Published: April 2023

Abstract
In order to ensure the reliability of transmission line operation, it is necessary to carry out effective monitoring of its motion state, and master the running state of transmission line in real time by means of data analysis and comparison. During this period, transmission line motion state monitoring device is bound to be used. However, in order to ensure the effectiveness of transmission line monitoring, it is necessary to add communication network into the motion state monitoring device, so as to improve the reliability of transmission line data acquisition, transmission and analysis, and ensure the normal and safe operation of transmission circuit.
Power System Flexibility Enhancement with Energy Storages Considering Charging Characteristics
Authors: Xiang Jie , Huang Bowen , Xiao Guojun , Zeng Zihao , Xie Xueyuan , Chen Hong , Tan Zhe 
Published: April 2023

Abstract
With the increasing integration of renewable energy generations, the renewables’ uncertainties impact the power system operation. So, it is critical to enhancing the system’s operational flexibility. To this end, one of the most useful solutions is to deploy energy storage. This paper proposes a power system flexibility enhancement method using energy storage systems (ESSs). The grid’s flexibility requirement is analyzed, and the flexibility enhancement model is constructed, considering the ESSs’ charging and discharging characteristics. Case studies on an IEEE 33-node system verify the quantitative method. The conclusions indicate the ESSs could efficiently meet the system’s flexibility requirements.
Emission factors measurement of regional power grid based on Gaussian process regression
Authors: Yang Zhibo , Zhang Qunxiong , Li Jianming , Sun Haipeng , Sun Fei 
Published: April 2023

Abstract
Machine learning can analyze and study the huge amount of big data on electricity, explore and mine the correlation between electricity data, and then analyze the current situation and predict the future values of certain electric power industry indicators. In this paper, various social, economic and industrial indicators affecting the grid emission factors are derived through algorithmic analysis of the grid emission factors. The Gaussian process regression analysis algorithm was used to compare and analyze the collected electricity data, focusing on five aspects of regression effects, including root mean square error, mean square error, mean absolute error, fitting coefficient, and running time, to obtain the optimal regression model parameters. Finally, the trained model was completed to predict the emission factors of the East China Power Grid from 2020 to 2060.
Optimal allocation of energy storage in distribution network considering microgrid cluster and system economic operation
Authors: Li Zhenfeng 
Published: April 2023

Abstract
A two-stage optimization model for the location of distribution grid energy storage (ES) configuration and its capacity determination is proposed for different operating conditions of the distribution grid, consider the impact of microgrid cluster operation strategies and sub-microgrid cooperation on the distribution network (DN). In the first stage, location, number of ES devices, the charging/discharging strategy were solved for using GAMS software, the minimum operating cost of the distribution system is used as the target for the daily operating timescale. In the second stage, the minimum annual operating cost is taken as the target for a one-year time scale, consisting of investment, ES equipment’s operation and maintenance in the DN, and is solved using a particle swarm optimisation algorithm with nested ES lifetime calculations in MATLAB software. The calculations show that the optimal allocation method of ES equipment in DN can effectively reduce the operating costs of DN as well as the investment and maintenance costs of ES under different operating conditions, taking into account the economic operation of microgrid clusters and distribution systems. As a result, the economy of the DN can be substantially improved.
Numerical studies on storage process of phase change material with metal foam for prefabricated cabin energy system
Authors: Yang Jialin , Dou Zhenlan , Zhao Pengxiang , Zhou Xichao , Cong Lin , Li Na , Zhang Chunyan 
Published: April 2023

Abstract
Latent heat thermal energy storage (LHTES) is a promising technology in prefabricated cabin energy system. This paper proposed a new thermal energy storage (TES) system with phase-change material (PCM) embedded in metal foam and heating source is steam or hot water. The mathematical formulas and numerical models of representative units are studied. The effect of natural convection is considered in the simulation of melting process. Finite volume method is used to discretize the governing equation The Forchheimer-Darcy law is used to model the porous resistance and a local thermal equilibrium model is developed. The model is firstly validated against low temperature experiments from the literature and then used to simulate the charging behaviour of LHTES system proposed by this paper. Foamed metal and fin are effective means to improve the heat transfer performance and shorten the melting time of heat storage system. In this paper, the effects of pore density, porosity, wall temperature and fin spacing on temperature change and melting rate are discussed.
Research on the calculation method of manual haul distance for transmission line engineering considering equivalent slope
Authors: Wu Huiying , Xiao Fangshun , Zou Meihua , Lin Jiawei , Ou Wenqi 
Published: April 2023

Abstract
Due to the long path and the point-like distribution of tower positions in the transmission line project, most of the material transportation in the construction needs to be transported by manpower, and the manpower transport involves the reasonable design and calculation of the manpower distance, while the manpower distance involves the follow-up Construction safety, construction cost and construction efficiency. Therefore, when carrying out construction design and budget estimation, it is often necessary to count the average manpower distance of material transportation, especially for hills, mountains and other terrains. However, most of the existing manpower distances are set based on subjective experience, which leads to manual labor distances. The error is large, resulting in chaotic construction management, large differences in construction costs, inability to guarantee construction safety, and low construction efficiency. Based on this, in this paper, the mountain is equivalent to a cone, and the mathematical model of the equidistant cone helix is used for modeling, and the arc length calculation formula is used to calculate the distance of manual climbing, which is used as the artificial distance of the tower. The research results of this paper realize the objective calculation of manual transportation distance, greatly reduce the data error, reduce the construction cost difference, and improve the construction safety and efficiency.
Simulation of a plasmonic sensor using kinetic theory of plasma with the Vlasov equation in MATLAB
Authors: Khulbe Manisha 
Published: April 2023

Abstract
This research proposes a mathematical model for a plasmonic sensor using kinetic theory of plasma with the Vlasov equation. A nanoantenna cavity of a plasmonic material is driven by an input electromagnetic wave, which changes the charge density and current flow in the cavity, resulting in a change in the Fermi distribution function of the charged particles. The results are achieved in terms of current density and conductivity by solving the Boltzmann transport equation, Maxwell’s equations, and Taylor series expansion in terms of perturbed electric fields with linear integro differential equations. The results are simulated using MATLAB. The changes in current density and conductivity are validated by experimental analysis of graphene plasmonic material using patch antenna with the dielectric substrates SiO2 and Al2O3. By varying the applied electric fields, current changes at the output of the plasmonic antenna are analyzed using signal-processing techniques. Wavelet transforms are used to find the space-scale behavior of the output signals, such as current density variation, voltage variation, and susceptibility change with sub-band coding techniques in terms of wavelet coefficients.
Socioeconomic differences in older adults’ unplanned hospital admissions: the role of health status and social network
Authors: Harber-Aschan Lisa , Darin-Mattsson Alexander , Fratiglioni Laura , Calderón-Larrañaga Amaia , Dekhtyar Serhiy 
Published: April 2023

Abstract

Background
the socioeconomic distribution of unplanned hospital admissions in older adults is poorly understood. We compared associations of two life-course measures of socioeconomic status (SES) with unplanned hospital admissions while comprehensively accounting for health, and examined the role of social network in this association.

Methods
in 2,862 community-dwelling adults aged 60+ in Sweden, we derived (i) an aggregate life-course SES measure grouping individuals into Low, Middle or High SES based on a summative score, and (ii) a latent class measure that additionally identified a Mixed SES group, characterised by financial difficulties in childhood and old age. The health assessment combined measures of morbidity and functioning. The social network measure included social connections and support components. Negative binomial models estimated the change in hospital admissions over 4 years in relation to SES. Stratification and statistical interaction assessed effect modification by social network.

Results
adjusting for health and social network, unplanned hospitalisation rates were higher for the latent Low SES and Mixed SES group (incidence rate ratio [IRR] = 1.38, 95% confidence interval [CI]: 1.12–1.69, P = 0.002; IRR = 2.06, 95% CI: 1.44–2.94, P &lt; 0.001; respectively; ref: High SES). Mixed SES was at a substantially greater risk of unplanned hospital admissions among those with poor (and not rich) social network (IRR: 2.43, 95% CI: 1.44–4.07; ref: High SES), but the statistical interaction test was non-significant (P = 0.493).

Conclusion
socioeconomic distributions of older adults’ unplanned hospitalisations were largely driven by health, although considering SES dynamics across life can reveal at-risk sub-populations. Financially disadvantaged older adults might benefit from interventions aimed at improving their social network.
Multimorbidity increases the risk of dementia: a 15 year follow-up of the SHARE study
Authors: Veronese Nicola , Koyanagi Ai , Dominguez Ligia J , Maggi Stefania , Soysal Pinar , Bolzetta Francesco , Vernuccio Laura , Smith Lee , Matranga Domenica , Barbagallo Mario 
Published: April 2023

Abstract

Aims
the literature regarding the association between multimorbidity and dementia is still unclear. Therefore, we aimed to explore the potential association between multimorbidity at the baseline and the risk of future dementia in the SHARE (Survey of Health, Ageing and Retirement in Europe) study, a large European research survey, with a follow-up of 15 years.

Methods
in this longitudinal study, multimorbidity was defined as the presence of two or more chronic medical conditions, among 14 self-reported at the baseline evaluation. Incident dementia was ascertained using self-reported information. Cox regression analysis, adjusted for potential confounders, was run and hazard ratios (HRs), with their 95% confidence intervals (CIs), that were estimated in the whole sample and by 5 year groups.

Results
among 30,419 participants initially considered in wave 1, the 23,196 included participants had a mean age of 64.3 years. The prevalence of multimorbidity at baseline was 36.1%. Multimorbidity at baseline significantly increased the risk of dementia in the overall sample (HR = 1.14; 95% CI: 1.03–1.27) and in participants younger than 55 years (HR = 2.06; 95% CI: 1.12–3.79), in those between 60 and 65 years (HR = 1.66; 95% CI: 1.16–2.37) and in those between 65 and 70 years (HR = 1.54; 95% CI: 1.19–2.00). In the overall sample, high cholesterol levels, stroke, diabetes and osteoporosis increased the risk of dementia, particularly if present among participants between 60 and 70 years of age.

Conclusions
multimorbidity significantly increases the risk of dementia, particularly in younger people, indicating the need for early detection of multimorbidity for preventing cognitive worsening.
Endosidin 5 disruption of the Golgi apparatus and extracellular matrix secretion in the unicellular charophytePenium margaritaceum
Authors: LoRicco Josephine G , Kozel Li , Bagdan Kaylee , Epstein Ruby , Domozych David S 
Published: April 2023

AbstractBackground and AimsEndosidins are a group of low-molecular-weight compounds, first identified by ‘chemical biology’ screening assays, that have been used to target specific components of the endomembrane system. In this study, we employed multiple microscopy-based screening techniques to elucidate the effects of endosidin 5 (ES5) on the Golgi apparatus and the secretion of extracellular matrix (ECM) components in Penium margaritaceum. These effects were compared with those caused by treatments with brefeldin A and concanamycin A. Penium margaritaceum’s extensive Golgi apparatus and endomembrane system make it an outstanding model organism for screening changes to the endomembrane system. Here we detail changes to the Golgi apparatus and secretion of ECM material caused by ES5.MethodsChanges to extracellular polymeric substance (EPS) secretion and cell wall expansion were screened using fluorescence microscopy. Confocal laser scanning microscopy and transmission electron microscopy were used to assess changes to the Golgi apparatus, the cell wall and the vesicular network. Electron tomography was also performed to detail the changes to the Golgi apparatus.Key ResultsWhile other endosidins were able to impact EPS secretion and cell wall expansion, only ES5 completely inhibited EPS secretion and cell wall expansion over 24 h. Short treatments of ES5 resulted in displacement of the Golgi bodies from their typical linear alignment. The number of cisternae decreased per Golgi stack and trans face cisternae in-curled to form distinct elongate circular profiles. Longer treatment resulted in a transformation of the Golgi body to an irregular aggregate of cisternae. These alterations could be reversed by removal of ES5 and returning cells to culture.ConclusionsES5 alters secretion of ECM material in Penium by affecting the Golgi apparatus and does so in a markedly different way from other endomembrane inhibitors such as brefeldin A and concanamycin A.
Epidemiology of childhood acute kidney injury in England using e-alerts
Authors: Plumb Lucy , Casula Anna , Sinha Manish D , Inward Carol D , Marks Stephen D , Medcalf James , Nitsch Dorothea 
Published: April 2023

ABSTRACT

Background
Few studies describe the epidemiology of childhood acute kidney injury (AKI) nationally. Laboratories in England are required to issue electronic (e-)alerts for AKI based on serum creatinine changes. This study describes a national cohort of children who received an AKI alert and their clinical course.

Methods
A cross-section of AKI episodes from 2017 are described. Hospital record linkage enabled description of AKI-associated hospitalizations including length of stay (LOS) and critical care requirement. Risk associations with critical care (hospitalized cohort) and 30-day mortality (total cohort) were examined using multivariable logistic regression.

Results
In 2017, 7788 children (52% male, median age 4.4 years, interquartile range 0.9–11.5 years) experienced 8927 AKI episodes; 8% occurred during birth admissions. Of 5582 children with hospitalized AKI, 25% required critical care. In children experiencing an AKI episode unrelated to their birth admission, Asian ethnicity, young (&lt;1 year) or old (16–&lt;18 years) age (reference 1–&lt;5 years), and high peak AKI stage had higher odds of critical care. LOS was higher with peak AKI stage, irrespective of critical care admission. Overall, 30-day mortality rate was 3% (n = 251); youngest and oldest age groups, hospital-acquired AKI, higher peak stage and critical care requirement had higher odds of death. For children experiencing AKI alerts during their birth admission, no association was seen between higher peak AKI stage and critical care admission.

Conclusions
Risk associations for adverse AKI outcomes differed among children according to AKI type and whether hospitalization was related to birth. Understanding the factors driving AKI development and progression may help inform interventions to minimize morbidity.
Analysis of 10 Phthalate Esters in Water-Based Adhesives by Supercritical Fluid Chromatography–Tandem Mass Spectrometry Combined With Spherical Carbons-Based Dispersion Solid-Phase Extraction
Authors: Yan Jun , Chen Zhiyan , Wang Chunqiong , Xue Yun , Lin Li , He Chen , Zhou Xiao , Yang Fei , Zhou Yun , Tang Gangling 
Published: April 2023

Abstract

Background
Spherical carbons have a porous structure and large surface area for adsorption of macromolecules in water-based adhesives. Supercritical fluid chromatography (SFC) can improve selectivity and obtain better separation for phthalate esters (PAEs).

Objective
The aim of this study was to develop a simple and green method for the simultaneous determination of 10 PAEs in water-based adhesives using SFC–tandem mass spectrometry with dispersion solid-phase extraction by spherical carbons.

Method
Separation of PAEs on a Viridis HSS C18 SB column and the parameters affecting the extraction were evaluated.

Results
Good accuracy and precision were obtained with the recoveries at 0.5, 2.0, and 10.0 mg/kg ranging from 82.9 to 99.5% and the intra- and inter-day precision less than 7%. The method had excellent sensitivity with limits of detection in the range of 0.015–0.029 mg/kg. In the 10–500 ng/mL concentration range, the linear correlation coefficients of all compounds were between 0.9975 and 0.9995.

Conclusions
The method was applied to the determination of 10 PAEs in actual samples. This method is simple and rapid with low solvent consumption and high extraction efficiency. When applied to the determination of PAEs in actual samples, the method is sensitive and accurate and can meet the batch processing requirements for trace PAEs in water-based adhesives.

Highlights
PAEs in water-based adhesives can be determined using inexpensive materials and simple procedures with SFC.