bluuebunny/crossref_metadata_2025_split huggingface dataset:
Promoting digital twin technology application for process industry: A novel generation modelling platform and its implementations
Authors: Zhang Yinan , Wang Wenhai , Yang Qiang , Tang Xiaoyu , Ruan Wei , Li Yingze , Daoerji Surong , Zhang Xiang , Ye Yuqi , Huang Jiawei , Li Junjie , Yang Yu , Wu Xinyao , Yang Haoran , Cao Tianyu 
Published: September 2024

AbstractOne key concept of Industry 4.0 is the industrial digital twin (DT)—a virtual replica of physical assets, processes, and systems. DTs optimise operations, enhance productivity, and facilitate innovation across various industries, including manufacturing, energy, healthcare, and transportation. This paper presents a multi‐domain and multi‐time scale modelling and simulation platform, featuring built‐in model libraries that represent diverse physical, chemical, and behavioural properties. A comprehensive system modelling approach and a closed‐loop industrial control system based on DTs are developed, showcasing advanced control, optimisation, and system security research capabilities. The architecture and advantages of the novel generation modelling platform are detailed, with specific applications highlighted, underscoring its contributions to the process industry.
Green strategies in ports: a stakeholder management perspective
Authors: Satta Giovanni , Vitellaro Francesco , Njikatoufon Abdel Ganir , Risitano Marcello 
Published: September 2024

AbstractThis paper delves into the intricate relationship between green strategies and stakeholder management within the port industry. We employ a robust conceptual framework and a tailored methodology, encompassing all sixteen Italian Port Management Bodies and analysing 344 related green strategies. A unique indirect approach is introduced to identify the primary stakeholders targeted by these strategies. The research identifies three primary categories of green strategies: energy efficiency, electric supply infrastructure development, and renewable energy promotion. These strategies align with increasing environmental expectations and stricter regulations. Terminal operators and local communities emerge as primary stakeholder groups, underscoring their growing influence in port management decisions. This research bridges a substantial gap in the academic literature by shedding light on the benefits of green strategies for the principal port stakeholders and the pivotal role of these strategies for stakeholder management in ports. Port managers can leverage these insights to make informed strategic decisions, strengthen their corporate social responsibility initiatives, and better address environmental concerns while meeting stakeholder expectations. Furthermore, the paper offers valuable guidance to policymakers aiming to stimulate additional investments in environmental sustainability, thereby meeting the expectations of port stakeholders and enhancing port competitiveness.
The effects of instruction on students’ argumentative scientific writing in a Basque medium of instruction
setting
Authors: Garro Larrañaga Eneritz , Antón Eneko , Arias-Hermoso Roberto , Carmona Unai 
Published: September 2024

Abstract
The present quasi-experimental study explores the effects of instruction on secondary students’ scientific
argumentative writing in a Basque medium of instruction program. Secondary students (N = 105) completed written
tasks before and after a unit on energy in their science class as part of this investigation. The experimental group
(n = 61) additionally took part in three, one-hour sessions focused on scientific argumentation via
instruction in cognitive discourse functions (Dalton-Puffer, 2013), while the control
group (n = 44) completed the unit on energy without the additional instruction on argumentation. The final corpus
of 210 texts was analysed using Toulmin’s Argumentation Pattern (1958). ANOVAs showed
that the experimental group’s use of argumentation strategies increased significantly, while the control group’s use of such
strategies did not increase. Thus, the results show that instruction on argumentation helps students to write better argumentative
compositions. These findings suggest that instruction in the use of Cognitive Discourse Functions allows for academic language
learning in bilingual education contexts. The pedagogical implications and future research directions of this study’s findings are
discussed.
One Health Approach Necessity in the Control of Highly Pathogenic Avian Influenza: An Integrated Analysis of Decision Makers’ Perspectives in Ivory Coast, Using Peter Checkland’s Soft System Methodology
Authors: Keita Ibrahima Mamby , Seck Rosalie Martine Ndew , Kouakou Christophe Yao , Ouattara Douyeri Thierry , Leyens Stephane , Irabor Thomas-Julian , Yameogo Peegdsom Simplice Assomption , De Backer Caroline , Antoine-Moussiaux Nicolas , Bonfoh Bassirou , Tiembre Isaac , Kallo Vessaly 
Published: September 2024

Abstract

The control of highly pathogenic avian influenza (HPAI) requires an integrated strategy. In Ivory Coast, it is decentralized and included in the health policy (as all tools, including SOPs, for managing disease prevention and control) but would lack a common vision and stable bridges for intersectoral exchanges and major health challenges joint planning. Thus the need to identify levers for action through the key sectoral decision makers’ perspectives in integrated HPAI control. A cross-sectional retrospective qualitative study, respecting ethical considerations, was carried out in May 2023 with national decision makers from the human, animal, environmental and community health sectors in Ivory Coast. Purposive sampling was guided by seven respondents based on the saturation principle. An open-ended, semi-structured interview grid based on the CATWOE components (
C
: Clients,
A
: Actors,
T
: Transformation process,
W
: Weltranschauung,
O
: Owners,
E
: Environment; Smyth D. and Checkland P. en 1975) were used to analyse the surveyed decision makers’ perspectives, using QDA
Miner4Lite
software. Findings showed four emerging perspectives, depending on the decision makers’ profile: (i) Veterinarians advocated a world better prepared to deal with HPAI, with simulation exercises (as one of the four components of the International Health Regulations monitoring framework to enable the lessons learned from a simulated public health event that can be capitalized on while strengthening the response system), joint investigations and training, creation of reactive and autonomous regional centres with enhanced technical facilities; (ii) Poultry industry (private sector) is also moving in the same direction, with the idea of common funds pre-mobilized through poultry farmer contributions to facilitate future compensation; (iii) Physicians prioritized the cross-sector sharing of digitized information in real time, the mutualization of resources and the integration of existing surveillance networks; and (iv) Environmentalists were keen to integrate aspects of other key sectors into their sectoral monitoring tools in order to be more alert and proactive in an ecological dynamic.

Information
© The Authors 2024
Ultraviolet finite resummation of perturbative quantum gravity
Authors: Morris Tim R 
Published: September 2024

Abstract
If the metric is chosen to depend exponentially on the conformal factor, and if one works in a gauge where the conformal factor has the wrong sign propagator, perturbative quantum gravity corrections can be partially resummed into a series of terms each of which is ultraviolet finite. These new terms however are not perturbative in some small parameter, and are not individually BRST invariant, or background diffeomorphism invariant. With appropriate parametrisation, the finiteness property holds true also for a full phenomenologically relevant theory of quantum gravity coupled to (beyond the standard model) matter fields, provided massive tadpole corrections are set to zero by a trivial renormalisation.
Lipschitz stability of an inverse conductivity problem with two Cauchy data pairs
Authors: Hanke Martin 
Published: September 2024

Abstract
In 1996 Seo proved that two appropriate pairs of current and voltage data measured on the surface of a planar homogeneous object are sufficient to determine a conductive polygonal inclusion with known deviating conductivity. Here we show that the corresponding linearized forward map is injective, and from this we deduce Lipschitz stability of the solution of the original nonlinear inverse problem. We also treat the case of an insulating polygonal inclusion, in which case a single pair of Cauchy data is already sufficient for the same purpose.
Interdigitated resonator based frequency selective rasorber with high selectivity
Authors: Huang Xiaojun , Li Ke , Hou Wei , Wang Yanpei , Ma Yutao 
Published: September 2024

Abstract
This paper investigates a highly selective frequency selective rasorber (FSR) utilizing interdigitated resonators, characterized by a passband exhibiting low insertion loss (IL) and the introduction of a second-order passband response in the lossless layer enhances selectivity on both sides of the passband. The lossy unit is implemented by inserting interdigitated resonators on an octagonal ring loaded with lumped resistors, while the lossless layer is constructed with a five-layer structure. Simulation results demonstrate a low IL value of 0.78 dB at 3.5 GHz. At vertical incidence, the S
21>−3 dB bandwidth ranges from 3.41 to 3.67 GHz, and the S
11<−10 dB range spans from 2.2 to 8.2 GHz, obtaining two absorption bands on either side of the passband, with absorption rates exceeding 80%. The operating frequency bands are 1.95–3.27 GHz and 3.8–8.4 GHz. The designed FSR exhibits polarization insensitive. To validate simulation results, a prototype FSR was fabricated and tested, with experimental data aligning with simulation results.
A novel unsupervised adaptive density-based clustering filter for remaining useful life prediction of bearings
Authors: Wang Wei , Zhou Gongbo , He Zhenzhi , Zhou Ping , Ma Guoqing , Yan Xiaodong , Ma Tianbing 
Published: September 2024

Abstract
Constructing the health indicator (HI) and predicting the remaining useful life (RUL) are essential steps in bearing health management. Some prediction methods depend on prior information about HIs, especially when these indicators are generated by deep learning models. However, acquiring such prior information can be challenging in practical applications. This paper introduces a novel unsupervised adaptive density-based clustering filter (UADCF) for RUL prediction of bearings, which operates without the need for prior knowledge. Firstly, a post-hoc interpretation HI model (PIHIM) is proposed to characterize the deep learning constructed HIs from the perspective of what the deep learning has done. Then, leveraging the classical density-based clustering algorithm, we introduce the UADCF for unsupervised estimation of model parameters, which can dynamically adjust density parameters based on the current conditions. Finally, we develop a prediction framework combining PIHIM and UADCF, enabling unsupervised RUL prediction of bearings. The experimental studies validate the effectiveness of the proposed method.
Speed harmonic suppression of PMSM and its application in ball screw vibration suppression
Authors: Wu Zhaoqian , Guo Wang , Liu Zhenhua , Jiang Canyang , Jiang Fei , Zhang Shaohui 
Published: September 2024

Abstract
The speed ripple of surface-mounted permanent magnet synchronous motor (SPMSM) causes vibration of the ball screw, which degrades the accuracy and stability of the ball screw system. The harmonic injection method can suppress the speed ripple by decreasing the speed harmonic of SPMSM. When the speed ripple is suppressed, the vibration of the ball screw is also reduced. However, large amount of calculation, complex parameter adjustment, and long suppression time limit its performance in suppressing vibration of ball screw. Therefore, in this paper, we propose a speed harmonic suppression method based on the online measurement of the transfer function from inject voltage harmonic to speed harmonic. In the proposed method, the transfer function is measured after the motor reaches a stable operating condition. And then, the designed speed harmonic controller parameters are set according to the measurement results. Compared with the existing method, the method based on online measurement has less calculation, simple parameter adjustment, fast suppression speed, and good performance in suppressing the vibration of ball screw. Experimental verifications are carried out in the forward and backward condition of the ball screw.
Study on phase-locked out-of-step fault characteristic analysis and protection of VSPSU
Authors: Lu Qinghui , Wang Xuefang , Qiao Jian , He Rufei , Ma Yiming , Yin Xianggen , Peng Yumin , Wang Wenhui 
Published: September 2024

Abstract
The variable-speed pumped storage unit (VSPSU) adopts flexible three-phase AC excitation, and the control dominant characteristics of the equipment are significant, which deeply affects the out-of-step (OOS) fault law and stability mechanism of VSPSU. Aiming at the OOS fault of VSPSU, this paper first defines the power angle of VSPSU and analyzes the influence of a phase-locked loop on the power angle stability of the unit. Then, the fault characteristics of the power angle instability of VSPSU are further studied. It is found that the traditional lens impedance protection scheme based on measuring the number of sliding poles has the problem that the phase-locked OOS oscillation cannot be responded to or the response is not timely. Combined with the research on the fault characteristics of power angle instability of VSPSU, an OOS protection method based on a bilateral annular blocker is proposed. The simulation results show that the proposed protection method can quickly and accurately reflect the phase-locked OOS fault of VSPSU, and meet the requirements of VSPSU for the reliability of OOS protection.
Capacity optimization configuration of multi-source independent microgrids based on TLC-GOLD-GWO algorithm
Authors: Cao Yalan , Zhang Xiaohong , Shen Zuyang 
Published: September 2024

Abstract
To guarantee the economic efficiency and reliability of standalone microgrids, this paper introduces an enhanced Grey Wolf optimization algorithm (GWO) [1] that leverages chaos mapping techniques, nonlinear convergence factor, and golden operator for solving multi-source capacity allocation problems. Taking the reliability of the power supply as a significant constraint, an optimization model is constructed with the minimization of the annual total economic cost as the objective function. Given the issues of local convergence and premature convergence encountered during the solution process of the fundamental Grey Wolf optimization algorithm, we employ chaotic mapping technology to address the challenge of unequal initial population distribution. Subsequently, a nonlinear convergence factor is introduced to expedite the convergence rate, enhancing the algorithm’s performance. Lastly, to update the grey wolf’s position, the golden sine operator is used, thereby refining the solution space and enhancing the effectiveness of the optimization process. The simulation outcomes reveal that the enhanced Grey Wolf optimization algorithm notably enhances the precision of the objective function, delivering superior performance. Compared to the Grey Wolf optimization algorithm and Whale optimization algorithm (WOA) [2], the enhanced algorithm demonstrates superiority in terms of reducing economic costs, enhancing the capability for global optimal search, and accelerating the optimization process.
Adaptive control strategy of VSG parameters based on improved fuzzy control
Authors: Xu Xiangyu , Ju Yusheng 
Published: September 2024

Abstract
A virtual synchronous generator (VSG) enables the converter output to have similar external characteristics to the synchronous generator, but its virtual rotary inertia and damping factor need to be flexibly adapted to strengthen the dynamic stability of the system. Given the shortcomings of existing adaptive strategies, this paper presents a VSG parameter adaptive control strategy based on improved fuzzy control. GRO is used to optimize the quantization factor and scale factor of the fuzzy controller, to strengthen the adaptive ability of the fuzzy controller to the rotary inertia and damping factor. Simulink simulation is used to verify the superiority of the control strategy.
Small signal stability analysis of a wind power system integrated with a multi-band supplementary damping controller
Authors: Guo Chaoyu , Li Yanzhe 
Published: September 2024

Abstract
With the integration of wind turbines represented by doubly-fed induction generators (DFIG) into the power system, the inertia level of the system decreases sharply, and small disturbances can easily cause low-frequency oscillation (LFO) in the system. In this paper, we propose a multi-band supplementary damping controller (MBSDC) directly applied to the active power control link of the rotor-side converter in the wind power generation system. We establish a linearized model for DFIG integrated with the power system, calculate eigenvalues, and screen out multiple electromechanical oscillation modes to be suppressed. Based on the calculation results, an MBSDC is designed to suppress LFO, and we propose a parameter-setting algorithm to enhance the suppression effect. Taking the New England 10-generator 39-bus system containing DFIG as an example for simulation verification, the results show that the MBSDC and parameter setting algorithm designed in this paper can effectively suppress LFO.
Research on multi-source separation method of partial discharge based on ABC-JADE
Authors: Wang Jinlong , Zheng Xiang 
Published: September 2024

Abstract
The presence of multiple PD power sources in the switchgear will produce mixed PD signals, which will bring difficulties to the subsequent signal identification work. To solve this problem, this paper uses the exponential signal model to perform hybrid separation and makes ABC (Artificial Bee Colony Algorithm)-JADE (Joint Approximative Diagonalization of Eigen matrices), i.e., the ABC algorithm is a part of the JADE algorithm, and the ABC algorithm introduces the foraging behavior of bees in the search space, which can help the algorithm better explore the solution space. The JADE algorithm is a differential evolution algorithm, which can adjust the algorithm parameters through an adaptive mechanism. In this paper, the similarity coefficient and amplitude relative error index are used to evaluate the signal separation performance, and the experimental results show that the proposed JADE-ABC algorithm can effectively separate mixed signals. The amplitude relative error and phase accuracy of the separated signal and the source signal are within a certain range, and have a certain degree of robustness.
Energy structure optimization of shandong province by 2035 under double carbon goal
Authors: Li Shuyang , Tian Xin , Yuan Zhenhua , Zhang Lina , Xu Weihao , Gao Dan 
Published: September 2024

Abstract
In this paper, based on the existing population size, economic development level, industrial structure, current status of energy production and consumption, and current status of electricity production and consumption in Shandong Province, the LEAP-Shandong model was constructed by using the Long-range Energy Alternatives Planning (LEAP) model as a research tool, which is used to forecast the population size, GDP, energy consumption, and electricity structure of different industries in Shandong Province up to 2035 under three scenarios: policy development scenario, energy efficiency improvement scenario, and enhanced low-carbon scenario. The result shows that the population of Shandong province is expected to peak at 10, 426, 000 by 2033, and then slowly decline; in the enhanced low-carbon scenario, with an appropriate slowdown in economic development, further optimization of industrial structure and enhancement of energy efficiency can effectively reduce the energy consumption of the terminal energy-using sector in Shandong province. Based on the results, the main recommendations for Shandong’s energy development are as follows: to build a low-carbon industrial system in Shandong in light of new development opportunities; to build a new energy development system in light of Shandong’s energy characteristics; and to promote the low-carbon transformation of Shandong’s energy in light of the new model of the energy industry.
Research progress on accounting methods for domestic and international sulfur hexafluoride greenhouse gas emissions reduction
Authors: Zhao Yue , Dong Wangchao , Ma Fengxiang , Zhu Feng , Liu Wei , Song Yumei , Zhu Shan , Chen Han 
Published: September 2024

Abstract
Sulfur hexafluoride (SF6) is a high-quality ultra-high voltage insulating dielectric material with unique insulation and arc-extinguishing properties, and is widely used in power companies. However, sulfur hexafluoride is the strongest known greenhouse gas and is extremely difficult to degrade, so its emissions into the atmosphere need to be strictly limited. In the process of carbon emission reduction, the first step is to conduct carbon accounting, and accounting methods for SF6 emissions at home and abroad are gradually being supplemented and improved. Although major breakthroughs have been made in various aspects of SF6 carbon accounting at home and abroad, there is a lack of comprehensive discussion of the current main progress. This article first summarizes the current process of SF6 carbon accounting under two major categories and four methods at home and abroad. After that, the boundaries of each category, quantification methods, and accounting methods under the four major methods were further compared in detail. Finally, the positive impact that these methods can bring to the company’s operations is analysed from the perspective of inventory reporting, certification application and domestic carbon market transaction profits. This article systematically explains the current research progress from the aspects of method classification, practical operation and final practical application, in order to provide theoretical support for further promoting new accounting methods in the future.
Distributed new energy access grid load voltage deviation adaptive compensation method
Authors: Xiong Xiaocui , Chen Songling , Fang Xiaoming , Zheng Tuo 
Published: September 2024

Abstract
Due to the sensitivity changes of compensation penalty parameters, there is a significant deviation in the load voltage of the distributed new energy access grid. Therefore, it is necessary to consider distributed energy access and design a new adaptive compensation method for grid load voltage deviation. Considering the integration of distributed new energy, an adaptive compensation model for grid load voltage deviation was constructed, and an adaptive compensation inverter for grid load pressure deviation was designed to adaptively compensate for grid load voltage deviation. The experimental results show that after adaptive compensation, the voltage deviation value is lower, which has a good compensation effect, reliability, and certain application values, reducing the operational risk of distributed new energy grids.