bluuebunny/crossref_metadata_2025_split huggingface dataset:
Micro-mechanism Analysis of Heat conductivity Enhancement of Argon-based Copper Nanofluids
Authors: Zhang Liang , Qu Pingping , Jing Yuyan , Yao Xinyue , Wang Wenjie 
Published: February 2023

Abstract
Enhancing heat transfer is the consistent goal in current industrial production. Nanofluids have greater advantages than traditional fluids.In this in the passage, MDS was used to research the mechanism of improving the heat conductivity of Cu-Ar nanofluids compared with conventional fluids. The effects of nanoparticles with various volume fractions (1% - 3%) and different sizes (r = 1.03 nm, 1.26 nm, 1.50 nm) on the heat conductivity of nanofluids were mainly discussed. The results showed that the insertion of Cu nanoparticles increased the heat conductivity of the base fluid in studied range. The heat conductivity of the nanofluid was proportional to the volume fraction of the nanoparticles, and the maximum increase was 29.1%. Inversely ratio to the particle size, the maximum increase was 15.3%. The microscopic mechanism of the systems was statistically analyzed by the radial distribution function. It was found that the addition of nanoparticles caused the change in the atomic arrangement of the nanofluids, which made the nanofluids exhibit a microstructure similar to that of the solid. This is why the heat transfer efficiency of nanofluids is higher.
Research on the Design of UAV Relay Charging High-rise Platform for Electrical Equipment Live Detection in Substation
Authors: Zhang Yanyan , Ning Xuefeng , Zhang Haipeng , Yang Youhang , Wang Shaorong 
Published: February 2023

Abstract
The multi-rotor UAV inspection technology has received extensive attention in the live detection of electrical equipment in substations and has begun to be practically applied. However, due to the short endurance and the characteristics of intermittent operations, the UAV needs to frequently travel between the operational airspace and the cabin, which seriously affects the operational efficiency of the inspection. This paper first introduces the traditional substation electrical equipment live detection technology and then summarizes the application of UAV inspection in the substation electrical equipment live detection. Finally, in view of the shortcomings of the existing technology, this paper proposes a design scheme of a relay-charging high-rise platform for live detection and inspection of electrical equipment in substations. The relay charging high-rise platform can be divided into six parts according to the functional structure: high-altitude apron, UAV landing guidance system, UAV automatic binding system, high insulation strength power supply system, and platform monitoring system. In this paper, the overall structure of the relay charging high-level platform and the technical solutions of each component are described in detail. The technical solution can effectively improve the efficiency and safety of multi-rotor UAV inspection operations for live detection of electrical equipment in substations.
Electrical equipment identification method in infrared images based on VGG
Authors: Li Yan , Du Jinqiao , Zhang Lin , Tian Jie , Yang Fan , Li Zhimin 
Published: February 2023

Abstract
Temperature is widely used to detect the state of electric equipment. Almost all the data is collected and sorted. And image analyzed by manual, which cause some trouble. In order to improve the intelligence level of power equipment detection, this paper proposes an infrared scene identification method for 220 kV current transformers, including target identification, temperature extraction, and image fusion. Firstly, a semantic segmentation model is built on VGG, which can effectively extract the target temperature information in complex environments. Then combined with the method of data set expansion, 3224 images of 220 kV current transformers were used for training. Finally, an image fusion method is used to extract equipment temperature. The experimental show that the method proposed in this paper for semantic segmentation and identification of 220 kV current transformers accuracy reaches 99.68%. In contrast, the traditional CNN identification method is 44%, effectively improving the target identification efficiency of 220 kV current transformers and has a good reference for electric equipment intelligence detection.
Economic dispatch for microgrids with communication delays and flexible load
Authors: He Ping , Dong Jie , Wu Xiaopeng 
Published: February 2023

Abstract
The consensus algorithm is widely used in the microgrid, but it is affected by the communication of distributed generators. If the communication delay is serious, it can affect the system’s performance and cause the system’s instability. To ensure the stability of the microgrid under communication constraints, aiming at the extensive penetration of the flexible loads in the microgrid, the transmission delay of the communication network is considered, this paper proposes a microgrid distributed economic dispatch method based on the consensus algorithm under communication constraints. By coordinating the information exchanges between the generator and the total load demand, the flexible load and output of the generator are optimized in the system. Compared with the traditional consensus control strategy, this strategy can ensure that the system has higher stability and convergence speed under the same delay. Finally, the IEEE-14 node system is used to verify the effectiveness and correctness of the proposed algorithm.
Low Carbon Operation Mode of Large High Power Consumption Venues Based on Big Data Mining Technology
Authors: Tang Dehai , Zhao Yueying , Zhang Wenbin , Xue Wenbin , Dou Haoping 
Published: February 2023

Abstract
Given the high power consumption rate of large venues with high power consumption, excessive carbon emissions, and severe environmental pollution, this paper proposes a low-carbon operation mode for large venues with high power consumption based on big data mining technology. The DEA model of high-power consumption venues is constructed by linear programming. Then the preliminary indicators of low-carbon operation mode are selected based on big data mining technology. Finally, the selected indicators are used to set up the operation system. Through experimental analysis, it is found that the low-carbon operation mode of large venues with high power consumption can reduce 2 million kg of carbon emissions on the basis of the initial value of carbon emissions. This mode can effectively reduce the carbon emissions of high-power consumption venues and play a great role in curbing environmental pollution and improving the social benefits of venues.
Power Source Optimal Configuration Method of New Energy Microgrid Based on Improved Particle Swarm Optimization
Authors: Feng Mingcan , Zheng Yuguang , Wan Zhiwei , Cui Kai , Sun Chongbo 
Published: February 2023

Abstract
The power source optimal allocation method is studied based on the improved particle swarm optimization in order to ensure the superiority and rationality of microgrid voltage optimal allocation. According to the weight coefficient optimization configuration objective function and constraint conditions, a microgrid voltage optimization configuration model is established. The inertia weight value in the particle swarm is optimized according to the optimal similarity. The distance scale and the fitting degree are combined. The power source optimization configuration is completed on the basis of increasing the improved particle swarm. The test results show that the average value of the load fluctuation is 4.279, and the average reduction is 7%, which improves the effectiveness and superiority of power source optimal allocation.
Research on Working Mode of Intelligent Terminal of Distribution Automation Based on Public Wireless Communication Network
Authors: Li Kewen , Chen Qianyi , Ou Shifeng , Chen Shaonan , Zhang Wei , Pan Jueming 
Published: February 2023

Abstract
Targeting the situation that the wireless communication terminal commonly exists in the pilot project of distribution automation has an unstable power supply under extreme conditions, this paper proposes a non-real-time online working mode that is different from the traditional real-time online working mode. The switching method of the two working modes was designed, and the comparison and analysis between the two working modes were performed in terms of the timeliness of event active reporting, communication flow, the impact on the processing mechanism of the master station system and the impact on the working duration of the power supply. The results show that the average power consumption of the wireless communication terminal under the non-real-time working mode is reduced from the watt level to the mill watt level, thus the power supply problem of the wireless communication terminal under extreme conditions is solved.
Trajectory planning for unmanned skid-steering vehicle
Authors: Meng Zhaoxia , Zeng Dequan , Hu Yiming , Leng Bo , Zhan Zhengkai , Shao Liang , Li Qiang , Luo Chagen , Sun Zhipeng 
Published: February 2023

Abstract
To make a trajectory enough to track unmanned skid-steering vehicles, a planning method is proposed in this paper. The planner consists of velocity planning, curvature planning, and path planning. Subject to the constraints of jerk and acceleration, velocity planning has five possibilities. Then taking curvature constraints into account, curvature planning has three possibilities. And according to the velocity sequence and curvature sequence, the path information of the trajectory can be obtained by the kinematic model. To verify the presented method, a simulation scenario is designed. The test result shows that the proposed method could generate a sufficiently smooth trajectory with satisfying all the constraints, including acceleration, jerk, and curvature.
Electric Vehicle Charging Scheduling Optimization Method Based on Improved Ant Colony
Authors: Cheng Nuo , She Lizhen , Chen Dacai 
Published: February 2023

Abstract
The influx of electric vehicles significantly impacts the power grid. In the process of power grid operation, the operation of charging and discharging of electric vehicles can be used to dispatch the load of power grid operation. The optimization method of charging and dispatching electric vehicles based on improved ant colony is studied. Pheromones generated during the charging of the electric vehicle are obtained, and the charging limit range of the battery is delimited. The dynamic window constructs the charging scheduling model improved ant colony algorithm, and the optimal charging path is selected to complete the scheduling method design. The experimental results show that the proposed method can adjust the charging and discharge in the period of valley price and peak price, play the role of peak clipping, and realize the load regulation in different periods, which has application value.
Study on the Calculation Method of Typical Distribution Network Engineering Works in Xinjiang
Authors: Zhu Mingming , Wang Kunlun , Wang Shiyi , Surya Dirishati , Guo Jing 
Published: February 2023

Abstract
At present, the investment focus of the power grid is from the main network to the distribution network, and the distribution network engineering projects, as an important means to improve the security and stability level of the power grid, the power grid transmission capacity, the equipment health level and reduce the power supply energy consumption, is also a necessary guarantee for the power grid companies to improve the economic benefits, social benefits, and achieve sustainable development. With the continuous improvement of the investment scale of the distribution network, there are still prominent problems, such as insufficient precision of the distribution network cost control and extensive management. Based on the current situation of management and control and the actual situation of typical distribution network project construction, this paper puts forward a calculation method based on the reasonable range of engineering quantity of Chebyshev inequality, which can provide a reference for the subsequent construction of similar projects, and further improve the standardization and standardization level of the company’s distribution network project cost management.
Investigation of Wet-Preparation Methods of Nickel Foam For Alkaline Water Electrolysis
Authors: Ferriday T.B. , Sampathkumar S.N. , Middleton P.H. , Van Herle J. 
Published: February 2023

Abstract
Water electrolysers are multi-component systems whose performance relies on each part performing its task. A great emphasis has been placed on the development of efficient catalyst-coated electrodes, however the efficacy of the underlying substrate itself has been overlooked. This paper investigates the resulting performance of nickel foam electrodes in 1.0 M KOH after being treated in various concentrations of hydrochloric acid and sulphuric acid. The greatest performance was achieved utilising 0.50 M H2SO4 as measured by LSV, EIS and CV and ECSA, resulting in a 27% decline in series resistance relative to untreated nickel foam. The series resistance decreased continuously with acid concentration until a plateau was reached at the concentration of 0.5 M, where this trend was seen for both types of acid. Utilising these preparation methods for nickel foam electrodes can notably enhance electrode performance.
Observed contribution of Barents-Kara sea ice loss to warm Arctic-cold Eurasia anomalies by submonthly processes in winter
Authors: Li Yanqin , Zhang Li , Gan Bolan , Wang Hong , Li Xichen , Wu Lixin 
Published: February 2023

Abstract
The warm Arctic-cold Eurasia (WACE) pattern of surface air temperature anomalies is a prominent feature of the Eurasian climate variations during boreal winter. The interannual WACE anomalies are accompanied by sea ice loss in the Barents-Kara (BK) seas, however, the causality between them remains controversial because of large internal atmospheric variability over subarctic Eurasia in winter. Here we disentangle the contribution of BK sea ice loss to the WACE anomalies based on a statistical decomposition approach. An anticyclonic circulation anomaly over subarctic Eurasia that forces the WACE anomalies is found to reach its peak 3 d prior to BK sea ice loss. After excluding this prior atmospheric forcing signature, the East Asian cooling matures about 15 d later as a result of the weakened moisture transport associated with the enhanced BK downstream ridge and East Asian trough due to BK sea ice loss. The results suggest that BK sea ice loss contributes ∼65% and ∼81% of the WACE-related East Asian cooling and Arctic warming at interannual timescale, respectively, whereas the WACE-related cooling over central Eurasia primarily results from internal atmospheric variability. Such submonthly lagged East Asia cooling caused by BK sea ice loss could be helpful in predicting winter extreme cold events over East Asia.
Simultaneous optimization of weld bead geometry and weld strength during gas tungsten arc welding of Inconel 825 strips using desirability function coupled with grey relational analysis (DF-GRA)
Authors: Choudhury Bishub , Singh Vivek , Singh Ajay Pratap , Chandrasekaran M. , Patel Yamika , Singh Shailesh Kumar 
Published: February 2023

Abstract
Inconel 825 is a prominent Ni-Fe-Cr based superalloy finds application in aerospace, defense, automotive, nuclear, marine industries. This article investigates ‘weld strength’ and ‘weld bead characteristics’ of Inconel 825 weld specimens welded using the gas tungsten arc welding (GTAW) process. The welding speed (V), welding current (I), gas flow rate (GFR) and arc length (N) are considered as GTAW parameter and their effect has been examined on the weld characteristics. Welding speed and welding current has been identified as the most influential factor on process characteristics. Increased heat input from increased welding current and decreased welding speed initially improves weldment penetration (P) and ultimate tensile strength (UTS). However, at the highest heat input condition, the formation of root cracks is observed, resulting in nominal weld strength deterioration. To obtain a favorable parameters setting that satisfies both the criterion simultaneously i.e. maximizing weld strength for optimum weld bead geometry, a hybrid optimization approach employing desirability function coupled with grey relational analysis (DF-GRA) is proposed. Satisfying all the objectives simultaneously, the approach provides an optimum weld parameters setting of (I
3−V
1−GFR
2−N
1:120 A−180 mm min−1−9 l/min−2 mm) resulting an improvement of 4.15% in penetration (P), 5.12% in front width (W), 19.74% in reinforcement (R), 1.29% in ultimate tensile strength (UTS), and 2.9% in percentage elongation (%E) on validation. Upon comparison, the algorithm outperforms the optimization results of both DF and GRA approach suggesting its robust nature. Overall, the DF-GRA hybrid approach is found simple and effective that includes the ignored robustness of the desirability approach.
Uniqueness of the solution of some nonlinear singular partial differential equations of the second order
Authors: Tahara Hidetoshi 
Published: February 2023

In this paper, we consider a nonlinear singular second order partial differential equation of the form
\[

(

t

∂

∂
t

)

2

u
=
F

(

t
,
x
,

{

(

t

∂

∂
t

)

i

(

∂

∂
x

)

α

u

}

i
+

|

α

|

≤
2
,
i
>
2

)

\Bigl (t \frac {\partial }{\partial t} \Bigr )^2u = F \Bigl (t,x, \Bigl \{ \Bigl (t \frac {\partial }{\partial t} \Bigr )^i \Bigl (\frac {\partial }{\partial x} \Bigr )^\alpha u \Bigr \}_{i+|\alpha | \leq 2,i>2} \Bigr )

\]
in the complex domain. If

F
(
t
,
x
,
z
)

F(t,x,z)

(with

z
=
{

z

i
,
α

}

i
+

|

α

|

≤
2
,
i
>
2

z=\{z_{i,\alpha } \}_{i+|\alpha | \leq 2,i>2}

) is a holomorphic function satisfying

F
(
0
,
x
,
0
)
≡
0

F(0,x,0) \equiv 0

and

(
∂
F

/

∂

z

i
,
α

)
(
0
,
x
,
0
)

(\partial F/\partial z_{i,\alpha })(0,x,0)

≡
0

\equiv 0

(if

|

α

|

>
0

|\alpha |>0

), then this equation is called a nonlinear Fuchsian type partial differential equation in

t
t

. Under a very weak assumption, we show the uniqueness of the solution. The result is applied to the problem of analytic continuation of local holomorphic solutions of this equation.
Pioglitazone restores mitochondrial function but does not spare cortical tissue following mild brain contusion
Authors: Hubbard W Brad , Vekaria Hemendra J , Kalimon Olivia J , Spry Malinda L , Brown Emily P , Kilbaugh Todd J , Sullivan Patrick G 
Published: February 2023

AbstractPioglitazone interacts through the mitochondrial protein mitoNEET to improve brain bioenergetics following traumatic brain injury. To provide broader evidence regarding the therapeutic effects of pioglitazone after traumatic brain injury, the current study is focused on immediate and delayed therapy in a model of mild brain contusion. To assess pioglitazone therapy on mitochondrial bioenergetics in cortex and hippocampus, we use a technique to isolate subpopulations of total, glia-enriched and synaptic mitochondria. Pioglitazone treatment was initially administered at either 0.25, 3, 12 or 24 h following mild controlled cortical impact. At 48 h post-injury, ipsilateral cortex and hippocampus were dissected and mitochondrial fractions were isolated. Maximal mitochondrial respiration injury-induced deficits were observed in total and synaptic fractions, and 0.25 h pioglitazone treatment following mild controlled cortical impact was able to restore respiration to sham levels. While there are no injury-induced deficits in hippocampal fractions, we do find that 3 h pioglitazone treatment after mild controlled cortical impact can significantly increase maximal mitochondrial bioenergetics compared to vehicle-treated mild controlled cortical impact group. However, delayed pioglitazone treatment initiated at either 3 or 24 h after mild brain contusion does not improve spared cortical tissue. We demonstrate that synaptic mitochondrial deficits following mild focal brain contusion can be restored with early initiation of pioglitazone treatment. Further investigation is needed to determine functional improvements with pioglitazone beyond that of overt cortical tissue sparing following mild contusion traumatic brain injury.
Transition to adult care of young people with congenital heart disease: impact of a service on knowledge and self-care skills and correlates of a successful transition
Authors: Ricci Piera , Dimopoulos Konstantinos , Bouchard Melissa , Zhiya Cheryl Chong , Castro Meira Virginia , Pool Danielle , Lambell Michelle , Rafiq Isma , Kempny Aleksander , Heng Ee Ling , Gatzoulis Michael A , Haidu Loredana , Constantine Andrew 
Published: February 2023

AbstractAimsLess than one-third of adolescents with congenital heart disease (CHD) successfully transition to adult care, missing out on education of their cardiac condition, and risking loss to follow-up. We assessed the efficacy of our transition clinic on patient education and empowerment and identified correlates of successful transition.Methods and resultsOverall, 592 patients were seen at least once in our transition service between 2015 and 2022 (age 15.2 ± 1.8 years, 47.5% female). Most adolescents (53%) had moderate CHD, followed by simple (27.9%) and severe (19.1%) CHD. Learning disability (LD) was present in 18.9% and physical disability (PD) in 4.7%. In patients without LD, knowledge of their cardiac condition improved significantly from the first to the second visit (naming their condition: from 20 to 52.3%, P &lt; 0.0001; describing: 14.4–42.7%, P &lt; 0.0001; understanding: 26.1–60.7%, P &lt; 0.0001), and from the second to the third (naming: 67.4%, P = 0.004, describing: 61.4%, P &lt; 0.001, understanding: 71.1%, P = 0.02;). Patients with LD did not improve their disease knowledge over time (all P &gt; 0.05). Treatment adherence and management involvement, self-reported anxiety, and dental care awareness did not change over time. Successful transition (attendance of ≥ 2 clinics) was achieved in 49.3%. Younger age at the first visit, simpler CHD, and absence of PD were associated with successful transition.ConclusionA transition service positively impacts on patient education and empowerment in most CHD adolescents transitioning to adult care. Strategies to promote a tailored support for patients with LD should be sought, and earlier engagement should be encouraged to minimize follow-up losses.