bluuebunny/crossref_metadata_2025_split huggingface dataset:
Non-minimally coupled scalar field and scaling symmetry in a cosmological background
Authors: Almatwi Malik , Nozari Kourosh 
Published: December 2023

Abstract
We study Noether symmetries of a class of non-minimally coupled scalar field in a background spatially flat Friedmann-Robertson-Walker (FRW) spacetime. We explore the model symmetries and its conserved currents and charges. Especially, the scaling symmetry, its possible break down and outcomes of such a symmetry breaking are treated in details. A suitable potential of the non-minimally coupled scalar field is adopted which is necessary to get a symmetric Lagrangian of the system including gravity, scalar field and ordinary matter density. We use the obtained charge and the adopted potential in the equations of motions to see the role of the non-minimal coupling (NMC) on the cosmic expansion. We study evolution of the scalar field in the phase space of the model and explore the stability of the obtained critical point. In this manner we derive a relation that relates the cosmological constant and gravitational constant via a unique identity which reflects the scaling symmetry breaking in the space (a, φ).
A Web-based coordinated control platform for source-grid-load-storage of low-voltage stations
Authors: Wang Jie , He Xin , Jing Tianjun , Feng Zikai , Pan Pengkai , Wang Tianyu , Zhang Liqing 
Published: December 2023

Abstract
In order to improve the analysis and control ability of power consumption in the station area, a load storage analysis and control platform based on the Django Web framework is built. The platform takes real-time data acquisition, analysis, and optimal scheduling as the core to realize the comprehensive management and control of power supply, load, and energy storage equipment in the station area. The browser/server (B/S) mode is adopted to support a variety of interactive operations. The energy data, analysis results, and control status of the station area can be viewed intuitively. The Django Web framework is used to realize the extensible design. The analysis and control of the station area are realized by calling the optimization algorithm. Based on Bootstrap, the responsive layout is realized to improve the availability and accessibility of the platform. The graphics are drawn on the platform through Canvas technology, and the interaction and visualization effects are realized.
Control Strategy of Seamless Switching Between Grid-connected and Islanding Operation for Weak-connected Microgrid
Authors: Wang Jian , Wang Chen , Wu Renze , Xu Guangfu , Hou Wei , Zhu Haobin 
Published: December 2023

Abstract
A control strategy of seamless switching is proposed for the high-capacity microgrid, which is at the end of long-distance transmission. Firstly, the control modes of energy storage and diesel generator set under grid-connected conditions and islanding conditions are analyzed. Meanwhile, the seamless switching strategy for the microgrid, in which energy storage or diesel generator sets can be taken as the main power source adaptively, is proposed. During the switching from the grid-connected condition to the islanding condition, the connection line power is optimized according to the respective operational characteristics of the energy storage and diesel generator sets. And the interaction of the power step control with voltage blocking and the regulation characteristics of the line voltage regulator is utilized to effectively suppress the fluctuation of system voltage and frequency. Finally, the combination of auto-synchronization control and multiple synchronization control improves the success rate of switching from the islanding condition to the grid-connected condition. The on-site test results of an actual microgrid project verify the effectiveness of the proposed control strategy.
Converter valve state evaluation method based on hierarchical graded fuzzy theory
Authors: Yang Yuefeng , Li Tianqi , Liu Li , Cao Nan , Shi Xiuping , Ma Qun , Huang Yuanchao 
Published: December 2023

Abstract
As the core equipment of the DC power transmission project, the operation status of the converter valve is the key to the safety and stability of the DC system. Existing assessment methods cannot accurately assess the health status of the converter valve in project operation. According to the independence of the function and structure of each component of the converter valve, this paper proposes a converter valve state evaluation method based on hierarchical grading fuzzy theory. The data used are various information characterizing the state of the converter valve, such as voltage, current, sound, image, and other data. According to hierarchical grading, the evaluation index system is constructed. Based on the fuzzy theory, the affiliation function is proposed, and the affiliation probability of four hierarchical states is output for the state evaluation results of the converter valve and its group components. Experiments show that the method improves the accuracy and practicability of converter valve evaluation in engineering sites.
Energy Management and Networking for Sensor-based Transmission Line State Monitoring
Authors: Chen Tianle , Liu Fan , Gou Xiantai , Lei Xiao 
Published: December 2023

Abstract
The transmission line condition monitoring sensor network is large in scale and difficult to maintain. Its long-chain network topology differs from general wireless sensor networks, so it is necessary to develop a self-organizing sensor network with self-energy harvesting. In this regard, a three-layer network model is designed. Three types of node models are constructed. The sensor nodes implement round-robin sleep/wake and energy management mechanisms, powered by self-harvested energy. Additionally, reliable routing between nodes is established. Simulation results show that the developed simulation model is suitable for the application of transmission line condition monitoring. The expected functions of each module have been realized, and the stable and reliable transmission of perceived data of key components of transmission lines has been achieved, thereby providing technical and data basis for the deployment of practical networks.
Micro-Grid Line Protection Method Based on Current Frequency Variability
Authors: Zhao Jianwen , Zhao Kaiyuan , Xu Yanjie 
Published: December 2023

Abstract
Due to the access of multiple distributed power sources (DG) in the Micro-Grid, the original radiation topology is changed, making the traditional distribution network line protection methods no longer applicable; and most of the existing Micro-Grid line protection methods discuss their grid-connected and Islanded operation separately, resulting in a complex and variable line protection configuration. By analysing the transient current characteristics provided by the DG side and the network side of the Micro-Grid during grid-connected operation and the transient current characteristics provided by different types and numbers of DG on both sides during Islanded operation, it is concluded that there are significant differences in the frequency characteristics of the first-mode components of the current provided on both sides of the protected section of the Micro-Grid line during a fault. As a result, a Micro-Grid line longitudinal differential protection method based on the frequency similarity of the current first-mode quantities is proposed to achieve the identification and removal of faults inside and outside the protected section. A 380 V Micro-Grid simulation model is set up in MATLAB software and the proposed method is tested in a large number of experiments to enable it to operate correctly under different operating modes, different fault locations, and different transition resistances of the Micro-Grid, and to adapt to different operating conditions.
A low-power anti-interference parallel downlink communication system design
Authors: Shao Xiandong , Zhang Yixiang 
Published: December 2023

Abstract
The Internet of Things (IoT) has seen rapid advancements and widespread deployment of wireless devices recently. To pursue the long-term deployment goal of the Internet of Things, a lot of work in recent years has focused on low-power devices, such as backscatter systems. However, they face two key challenges, unequal uplink and downlink communication range, and weak end devices’ inability to handle downlink conflicts and networking. In this paper, we propose a µW-level downlink receiving system, which enhances the anti-interference and anti-conflict capabilities of low-power end devices. We also present a state machine model for networking capabilities. We implemented the prototype system using discrete components and FPGA and conducted experiments. The result shows that our system achieves a downlink communication range of over 250m at a 1kbps data rate with 1% BER and increased by more than 10 times compared to conventional backscatter receivers. The power consumption is 73.6 µW.
Vibration Analysis and Optimization of Permanent Magnet Motor Based on Mode Programme Method
Authors: Hu Kai , Zhang Guangming , Zhang Wenyi 
Published: December 2023

Abstract
Aiming at optimizing the vibration of the permanent magnet motor, the vibration performance of the permanent magnet motor was analyzed and optimized based on the mode program in this paper. A new kind of permanent magnet motor was designed. The radial electromagnetic force is larger under 256.8 Hz and does not exceed 7.1 kPa at frequencies above 577.8 Hz. Then the mode program by response surface method was conducted and its goal was to make the first-order inherent frequency greater than 577.8 Hz. The inner diameter, outer diameter, and length of the motor housing are selected as optimization factors. The first-order and the second-order inherent frequency of the designed permanent magnet motor housing are used as the optimization objectives. The average error rate of the regression equations of the first and second-order inherent frequency is only 0.76% and 0.88%, respectively. At last, the optimal scheme was put forward. The inner diameter, outer diameter, and length of the motor housing are 115.0 mm, 140.8 mm, and 160.0 mm are the optimal solution. The optimized first and second-order inherent frequency is 605.43 Hz and 1490.3 Hz, respectively. It is effective to weaken vibration and avoid resonance.
Node priority evaluation modeling of the substation to be restored based on weight fusion
Authors: Xin Zhongliang , Bao Wei , Yan Yuehao , Lan Guangyu , Liu Xiaohui 
Published: December 2023

Abstract
Severe weather is likely to lead to a large area of power outage accidents, and the emergency repair manpower, flood control materials reserve, and transportation capacity are often limited. This paper studies the node priority evaluation method of substations to be restored in disaster areas and establishes a node priority evaluation model of substations to be restored based on weight fusion. Firstly, the priority evaluation index system is constructed, then subjective weight is assigned to each evaluation index through hierarchical analysis, and objective weight is assigned by the entropy weight method. Finally, the subjective and objective weight fusion optimization strategy based on game theory is adopted, which not only retains the objectivity of the original object but also considers the subjectivity of expert evaluation opinions. The example analysis shows that the combined weights of each priority evaluation index are [0.1835, 0.2432, 0.2631] and [0.0376, 0.0694, 0.0806, 0.1226], and the emergency response needs urgency score of disaster site A is finally 0.6024. We set the recovery priority to Level 2.
Research on the Growth Characteristics of the Electrical Tree at Polyethylene/Silicone Rubber Composite Interface Under Power Frequency Voltage
Authors: Sun Haofei , Zhang Juning , Wang Chong , Zhao Xuefeng , Pu Lu , Ju Zeli , Duan Wei , Yun Xiahaoyue 
Published: December 2023

Abstract
During operation, the composite interface of the cable joint will experience a tangential electric field. When the composite interface has insulation defects, it is easy to experience interface discharge. Electrical tree is a phenomenon of electrical degradation and it’s a precursor of polymer breakdown. It is observed in the laboratory that under the power frequency voltage, the electrical tree will initiate at the composite interface, and the tree growth will finally lead to the interface breakdown. This paper investigates the development of an electrical tree at the composite interface of polyethylene/silicone rubber under power frequency voltage through microscopic observation. The results show that the air gap of the interface is the weak position of insulation, and the electrical tree will be initiated from the triple junction of the air gap and the impacted area of the two materials. The increase in voltage amplitude will speed up the initiation. High amplitudes also promote the electrical tree. The electrical tree shape will be changed from a branch structure at low voltage to a single branch structure at high voltage. The study on the electrical tree at the interface provides a visual display of the degradation process of the material before the breakdown at the composite interface.
Improved Crow Search Algorithm and XGBoost for Transformer Fault Diagnosis
Authors: Jiang Jinyang , Liu Zhi , Wang Pengbo , Yang Fan 
Published: December 2023

Abstract
To enhance the accuracy of transformer fault diagnosis, this study proposes an enhanced transformer fault diagnosis model incorporating the Improved Crow Search Algorithm (ICSA) and XGBoost. The dissolved gas analysis in oil (DGA) technique is employed to extract 9-dimensional fault features of transformers as model inputs, in conjunction with the codeless ratio method for training. The output layer utilizes a gradient boosting-based decision tree addition model to obtain the fault diagnosis type. Furthermore, the Golden Sine Algorithm (GSA) is employed for improvement, and the ICSA’s performance is tested by using typical test functions, demonstrating faster convergence and stronger merit-seeking capabilities. The obtained results reveal that the comprehensive diagnostic accuracy of the proposed model reaches 94.4056%, marking an improvement of 8.3916%, 6.2937%, 4.1958%, and 2.0979% compared to the original base XGBoost, PSO-XGBoost, GWO-XGBoost, and CSA-XGBoost fault diagnosis models, respectively. These findings validate the effectiveness of the proposed method in enhancing the fault diagnosis performance of transformers.
Investigation of the Energy Storage Simulation and Evaluation Index System Performance Considering Network Transmission Constraints and Peak Shaving Imitation
Authors: Chen Jie , Zheng Xiaoming , Deng Jiaojiao , Wang Yao , Jing Yongming 
Published: December 2023

Abstract
Connecting a new type of Energy Storage with renewable energy is one of the solutions to promote low-carbon energy systems and improve energy flexibility. However, the evaluation index system for large-scale new types of Energy Storage is not yet sound. This paper takes the power export base of a high proportion of new energy as an example. They are combined with actual operational and historical statistical data from Shanxi. The construction of operation mathematical models is refined for energy storage. The configuration of energy storage is analyzed and considered under network transmission constraints and system peak-shaving constraints. Strong support is provided for China’s development vision of achieving dual carbon goals and building a new power system.
State feedback method of inter-turn short circuit in rotor winding of induction motor based on improved association rule algorithm
Authors: Zhou Lei , Zheng Jijun , Zhuang Gewei , Chen Haibin , Gu Zhen , Zhang Jingyue , He Qing 
Published: December 2023

Abstract
Aiming at timely feedback and processing of asynchronous motor rotor windings, a feedback method based on an improved association rule algorithm of asynchronous motor rotor windings is studied. Based on the inter-turn short circuit mechanism of asynchronous motor windings, the fuzzy association rule mining method is used to mine the inter-turn short circuit mechanism of asynchronous motor windings. The method mines the rotor-side electrical parameters as the input of the deep neural network and uses the deep neural network to output the short-circuit state feedback results of the rotor windings of the asynchronous motor. The experimental results show that when the A-phase of the asynchronous motor is the faulty phase, the A-phase current of the rotor winding inter-turn short circuit increases significantly, and the phase angle difference deviation has a positive correlation, which effectively feedbacks the asynchronous motor rotor winding inter-turn short-circuit state.
Assessing the soil moisture-precipitation feedback in Australia: CYGNSS observations
Authors: Bui Hien X , Li Yi-Xian , Sherwood Steven C , Reid Kimberley J , Dommenget Dietmar 
Published: December 2023

Abstract
Previous modelling and case studies highlight the impacts of antecedent soil moisture on precipitation, showing the connection between the anomalous land surface and atmospheric conditions. However, observational evidence is lacking, especially on daily timescales, primarily due to the difficulty in assessing the interaction between soil moisture and atmospheric variability and dataset quality. Using satellite retrievals, this study investigates the relationship between soil moisture and next-day precipitation in Australia. Analysing the 5 year soil moisture data from the Cyclone Global Navigation Satellite System, we find that soil moisture anomalies influence next-day precipitation probability where higher soil moisture is associated with a higher probability of precipitation, even allowing for precipitation persistence. We also find that this feedback is generally positive in northern Australia but slightly negative in the southern regions, suggesting regional dependence. Linkages between the persistence of dry/wet soil moisture days and the possibility of wildfires and floods are also discussed. These findings have direct implications for the management and predictions of extreme conditions.
Methods and approaches
Authors: Ragone Sabrina , Smorto Guido 
Published: December 2023

Abstract
Chapter 4 introduces the methodologies for comparative inquiry, describing how the critique of legal classicism and formalism dominating legal disciplines in the 19th–20th centuries became the foundation for comparative law. It discusses how an invariant, universal language was pursued to provide an unbiased, objective framework for comparing laws, and the identification of the function legal concepts and rules perform as providing the common feature to make comparison possible. It explores criticisms of this functionalist account of law and the turn to an understanding of law as a social construct embedded in culture and rooted in history. The chapter also discusses the most recent versions of functionalism. Finally, it considers the strengths and weaknesses of this pluralism in methodology.
Sameness and difference
Authors: Ragone Sabrina , Smorto Guido 
Published: December 2023

Abstract
Chapter 5 elucidates how the choices and purposes of comparative research may contribute to uncovering similarities and universal features across laws as well as differences. It explores how early comparative legal scholarship tended to emphasize similarities and seek harmonization and unification of laws. It portrays the affirmation of a new wave of scholars more attuned to dissimilarities and divergences, in line with the cultural and hermeneutical turn in comparative legal studies. The chapter ends by describing how the relationships between sameness and difference, inclusion and exclusion led to greater scrutiny of political choices behind apparently technical assumptions in comparative law, also contributing to articulate a postcolonial critique of the discipline.
The Meaning of Power for Female Arab Social Workers under the Youth Law
Authors: Allassad Alhuzail Nuzha , Mahajne Ibrahim , Abo Saleh Khawaled Anan 
Published: December 2023

Abstract
Israel’s Youth Law (Care and Supervision), 1960 grants social workers power, authority and responsibility to intervene to protect minors at risk. But female social workers in Israel’s Arab population function in a traditional society in which women’s power is often labelled as negative and unfeminine, and power is primarily seen as indicating masculinity. Moreover, the law is perceived as symbolising the Israeli establishment, which the Arab population has experienced as ignoring its substantive problems, such as violence and crime.
In this context, a qualitative study using a semi-structured interview was conducted among twenty female Arab social workers employed in Israeli welfare bureaus under the above-mentioned Youth Law, in an attempt to understand the meaning of power for them.
The analysis of the findings revealed that some participants used different terminology from the others in describing the power granted them by the law and that this terminology affected how they fulfilled their role, the relation between them and the population they served and their relations with the service users.
The evolutionary empire: demystifying state formation in Mughal South Asia (1556–1707)
Authors: Morshed Safya 
Published: December 2023

Abstract
This article summarizes my thesis, which studies the impact of conflicts on the Mughal South Asian state formation in the seventeenth century. This thesis examines the relationship between states, elites, and the peasantry in the face of changing conflict intensity. It uses newly collected conflict and state-personnel data to map the evolving structure of the state, arguing that the patterns indicate a localization of the state's administration. By comparing patterns to other large early modern land empires, the text reflects on our broader understanding of the way in which conflict affected changes in state institutions, and the evolving dynamics between core and periphery.
Transcoronary mapping with an over-the-wire multielectrode catheter in scar-related ventricular tachycardia patients
Authors: Nishimura Takuro , Goya Masahiko , Takigawa Masateru , Negishi Miho , Ikenouchi Takashi , Yamamoto Tasuku , Kawamura Iwanari , Goto Kentaro , Shigeta Takatoshi , Takamiya Tomomasa , Tao Susumu , Yonetsu Taishi , Miyazaki Shinsuke , Sasano Tetsuo 
Published: December 2023

Abstract

Aims
The usefulness of coronary venous system mapping has been reported for assessing intramural and epicardial substrates in patients with scar-related ventricular tachycardia (VT). However, there has been little data on mapping from coronary arteries. We investigated the safety and utility of mapping from coronary arteries with a novel over-the-wire multielectrode catheter in scar-related VT patients.

Methods and results
Ten consecutive scar-related VT patients with non-ischaemic cardiomyopathy who underwent mapping from a coronary artery were analysed. Six patients underwent simultaneous coronary venous mapping. High-density maps were created by combining the left ventricular endocardium and coronary vessels. Substrate maps were created during the baseline rhythm with 2438 points (IQR 2136–3490 points), including 329 (IQR 59–508 points) in coronary arteries. Abnormal bipolar electrograms were successfully recorded within coronary arteries close to the endocardial substrate in seven patients. During VT, isthmus components were recorded within the coronary vessels in three patients with no discernible isthmus components on endocardial mapping. The ablation terminated the VT from an endocardial site opposite the earliest site in the coronary arteries in five patients.

Conclusion
The transcoronary mapping with an over-the-wire multielectrode catheter can safely record abnormal bipolar electrograms within coronary arteries. Additional mapping data from the coronary vessels have the potential to assess three-dimensional ventricular substrates and circuit structures in scar-related VT patients.