bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dynamics analysis and verification for slotted limited-angle torque motor in electromagnetic valve applications
Authors: Cheng Xin , Tao Peng , Han Ping , Zhou Rougang , Zhu Junjie 
Published: October 2024

Abstract
Limited-angle torque motor (LATM) as a key component of the exhaust gas recirculation (EGR) valve, which can precisely control the position of the EGR valve, thus achieving dynamic adjust the amount of exhaust gas recirculation. This paper introduces the dynamic analysis, modelling and experimental validation of a concentrated winding axial-flux slotted LTAM with 4-poles/4-slots. Aiming at the prominent issues such as cogging torque and nonlinear torque characteristics in the operating region of slotted LATMs, analytical equations are derived based on the magnetic circuit to predict the torque-angle characteristics of LATM, covering both constant torque and linear torque regions. These equations help establish the relationship between performance and key parameters, enabling rapid design of LATM. The test results indicate that the proposed model can accurately describe the electromagnetic torque and cogging torque of the LTAM, with an error range of 5%. Utilizing the effective angle range proposed in this paper, an approximate linear relationship between the electromagnetic torque and current can be achieved, with a linear error of 6%.
Research on automated verification method for temperature-related tests of electrical energy meters
Authors: Chen Qian , Chen Yunpeng , Liu Jianbo , Yang Mei , Yao Xingsheng , Zhao Gege 
Published: October 2024

Abstract
Program of pattern evaluation of fixed electrical energy meters-alternating current and GB/T 17215 series of national standards for the examination of energy meter performance by the impact of temperature change, set up a variety of temperature-related test items. Systematic research is possible to conclude that temperature-related tests can be divided into two categories according to the test procedure: Hold at test temperature for a certain period of time, return to the reference temperature and then measure the relevant parameters; measurement of the relevant parameters immediately after a certain period of time at the test temperature. Relevant parameters include errors at different load points and daily timing error of the internal clock of the energy meter. Data processing is undertaken after the test mainly consists of deriving error shift and mean temperature coefficient. This automated calibration method allows you to freely set the test temperature, test duration, reference temperature, stabilization duration, detection parameters, test points and data processing according to the test requirements. The paper explains in detail the application of the automated calibration method to realize typical temperature dependence, test of time-keeping accuracy of the energy meter with temperature and climatic tests (high temperature test, low temperature test and durability test of accuracy) The method breaks the shackles of the traditional calibration method of fixed test temperature, fixed test points and fixed test duration. It can adapt to the development needs of different levels of pattern evaluation of energy meter and national standards, for the laboratory to realize automated testing to provide the basis for industry standards and product testing commissioned inspection.
Structural design and thermodynamic analysis of high heat dissipation on board computers based on VPX architecture
Authors: Zheng Zhang , Jiao Dan , Zhu Jiadong 
Published: October 2024

Abstract
Due to the excellent compatibility of VPX in the international aerospace embedded specifications, VPX specifications are often employed in the design of payload processors for space applications. This paper introduces the design features of a 3U hot-swappable chassis based on the VPX specification, focusing on overall layout and thermal design. To fully utilize the performance of the VPX platform, a modular design is adopted in the overall layout, allowing different functional modules to be freely combined to meet various requirements. The chassis reserves a position for a computing module, facilitating future expansions. In the thermal design, considering the high-density modules inside the chassis, heat pipes are employed to rapidly transfer heat to the chassis rails and outer shell, enhancing the overall heat dissipation capability. Thermal simulation analysis using FLOTHERM software validates that the optimized thermal design meets the first-level derating standards for spacecraft. The finite element analysis results show that the fundamental frequency of the entire machine is 215 Hz, and all indicators meet the design requirements.
Section thickness effect on microstructure, mechanical and electrical properties of permanent steel mold cast eutectic Al-1.8Fe alloy
Authors: Liu Sufeng , Hu Anita , Shen Wutian , Ying Peilin , Hu Henry 
Published: October 2024

Abstract
A eutectic aluminum alloy, with a composition of 1.8 wt% iron, underwent casting using permanent steel mold casting (PSMC) across three distinct section thicknesses: 2mm, 8mm, and 20mm. The microstructure of the as-cast alloy was analysed by the scanning electron microscopy (SEM) and energy dispersive spectroscopy (EDS). The microstructure analyses indicated that the cast Al-1.8Fe alloy consisted of the primary Al phase, eutectic Al phase, micron-sized eutectic Al-Fe phase, and nano-sized eutectic Al-Fe phase. The results of tensile testing revealed notable improvements in mechanical properties for the cast Al-1.8Fe alloy as the section thickness decreased from 20mm to 2mm. Specifically, Ultimate Tensile Strength (UTS), Yield Strength (YS), elongation (ef), modulus, toughness, resilience, and electrical conductivity increased from 85.99 MPa, 28.33 MPa, 15%, 63 GPa, 8.58 MJ/m3, 6.37 kJ/m3, 48.44 %IACS to 157.74 MPa, 84.83 MPa, 19%, 66.4 GPa, 23.87 MJ/3, 54.17 kJ/m3, 51.09 %IACS, respectively. Conversely, porosity levels decreased from 5.17% to 1.87% as thickness increased from 2mm to 20mm. The enhanced mechanical properties and electrical conductivity observed in the 2mm sample are attributed to its fine microstructure and low porosity. Additionally, SEM fractography revealed that fracture behavior in PSMC Al-1.8Fe was influenced by section thickness.
Multi-agent long-distance end-to-end indoor navigation: using imitation learning pre-training and global map
Authors: Jiang Yang , Yuan Guoqin , Xing Haobo , Zhao Bin 
Published: October 2024

Abstract
To address the navigation challenges of mobile robot swarm coordination in complex environments, this paper presents a distributed navigation approach for mobile robot swarm. The study initially formulates the problem of robot swarm navigation as a partially observable Markov decision process, employing a distributed proximal policy optimization algorithm to train decision models mapping observations to actions directly. Furthermore, it adopts imitation learning pre-training to maximize expert decisions in the initial training phase, thereby reducing exploration space. Lastly, an improved path point generation algorithm along with a spatiotemporal reachability calculation method is proposed to guide the Deep Reinforcement Learning policy in accomplishing long-distance indoor navigation. Comprehensive performance evaluations are conducted in simulated environments to compare the proposed method with existing approaches. Results demonstrate that the proposed approach effectively enhances both convergence speed and model performance, while significantly improving the navigation capabilities of robot swarms in complex environments.
Improved center loss-based metric learning for fault diagnosis of water injection pump
Authors: Cui Xiwen , Xu Yuhui , Gao Shuo , Zhang Kaigan , Lin Zeyu , Xia Tangbin 
Published: October 2024

Abstract
As the key machine for oil extraction, the water injection pump plays an essential role in ensuring the safe and stable production of oil. However, the water injection pump is prone to failures during operation, leading to considerable losses due to frequent shutdowns. Therefore, it is of great significance to develop an intelligent fault diagnosis method. In this work, a fault diagnosis method with improved center loss-based metric learning is proposed. Firstly, a multi-scale convolution with an attention mechanism is employed to extract key fault features from different temporal-spatial scales with adaptive weighted fusion. Furthermore, an improved center loss is imposed as a constraint on the network-generated embedding space, which enables better clustering of embedding features and consequently a reliable decision boundary for different health states. The proposed method is validated on water injection pump data and outperforms multiple comparative methods, which is able to maintain a better performance even in a highly noisy operating environment.
Assessment of imaging performance for metal alloys of the first Italian neutron imaging beamline NICHE (Pavia, Italy)
Authors: Vigorelli L. , Marcucci G. , Di Martino D. , Clemenza M. , Grazzi F. , Cantini F. , Gelli N. , Giuntini L. , Taccetti F. , Bella T.E. , Sans Planell O. , Magalini M. , Re A. , Guidorzi L. , Marabotto M. , Lo Giudice A. , Vietti A. , Grassini S. , Morigi M.P. , Bettuzzi M. , Alloni D. , Prata M. , Salvini A. 
Published: October 2024

Abstract
In this paper, the imaging capabilities and performance of the new neutron imaging beamline developed at the LENA facility of Pavia (Italy) in the framework of the NICHE project (Neutron Imaging in Cultural HEritage) are presented. For this purpose, the estimation of bronze and brass alloys attenuation coefficient has been obtained through imaging analysis of a set of Cu-based alloy reference samples produced ad-hoc with chemical composition similar to ancient artefacts. In addition, some samples were realised using a different cooling ramp in order to test the influence of the alloy production procedures in neutron attenuation. Moreover, the tomographic capabilities of the beamline were tested for different metallic and plastic materials.
Major moisture shifts in inland Northeast Asia during the last millennium
Authors: Xia Zhengyu , Yang Wei , Yu Zicheng 
Published: October 2024

Abstract
Previous paleoenvironmental data synthesis indicates that arid central Asia (‘westerlies Asia’) and mid-latitude East Asia (‘monsoonal Asia’) show anti-phased moisture variations over the last millennium. However, there are very few records from inland Northeast Asia, which obscures the spatial extent of or the boundary between the two domains and hinders the assessment of climate change impacts and consequences across the region. Here, we present a multi-proxy record that combines peat properties, plant macrofossils, and isotopic ratios of Sphagnum moss cellulose from a unique precipitation-fed peatland in northern Northeast China to fill this critical data gap. The results show major centennial-scale moisture anomalies at this site, with drier and wetter conditions during the Medieval Warm Period and Little Ice Age, respectively, which resemble the pattern of moisture changes in ‘westerlies Asia’. During the period of rapid anthropogenic warming, the site is much drier, with isotopic evidence for threshold-like summer desiccation of peat-forming Sphagnum mosses. This study provides the long-term context and identifies the large-scale pattern of moisture variability in an inland region home to carbon-rich peatlands, forests, and permafrost soils, and highlights their potential vulnerability to future warming-enhanced drying that can be transmitted widely through atmospheric teleconnection.
Regular F-manifolds with eventual identities
Authors: Perletti Sara , Strachan Ian A B 
Published: October 2024

Abstract
Given an F-manifold one may construct a dual multiplication (generalizing the idea of an almost-dual Frobenius manifold introduced by Dubrovin) using a so-called eventual identity, the definition of which ensures that the dual object is also an F-manifold. In this paper we solve the equations for an eventual identity for a regular (so non-semi-simple) F-manifold and construct a dual coordinate system in which dual multiplication is preserved. As an application, families of Nijenhuis operators are constructed.
Counting and hardness-of-finding fixed points in cellular automata on random graphs
Authors: Koller Cédric , Behrens Freya , Zdeborová Lenka 
Published: October 2024

Abstract
We study the fixed points of outer-totalistic cellular automata on sparse random regular graphs. These can be seen as constraint satisfaction problems, where each variable must adhere to the same local constraint, which depends solely on its state and the total number of its neighbors in each possible state. Examples of this setting include classical problems such as independent sets or assortative/dissasortative partitions. We analyze the existence and number of fixed points in the large system limit using the cavity method, under both the replica symmetric (RS) and one-step replica symmetry breaking (1RSB) assumption. This method allows us to characterize the structure of the space of solutions, in particular, if the solutions are clustered and whether the clusters contain frozen variables. This last property is conjectured to be linked to the typical algorithmic hardness of the problem. We bring experimental evidence for this claim by studying the performance of the belief-propagation reinforcement algorithm, a message-passing-based solver for these constraint satisfaction problems.
Optical trapping of lipid bodies reveals increased cytoplasm viscosity in Candida tropicalis post antimicrobial photodynamic therapy
Authors: Carranza-Zuñiga D , Ascencio-Rodríguez J A , Spezzia-Mazzocco T , Ramos-García R 
Published: October 2024

Abstract
Antimicrobial photodynamic therapy (aPDT) is a common treatment for large cell colonies, but its effectiveness is typically assessed through colony-forming unit counting, which lacks microscopic details about cell death. This study monitors the trap stiffness of optically trapped lipid bodies of C. tropicalis of approximately 1 μm of radius following aPDT treatment. Methylene blue served as the photosensitizer at 20 μM concentration, with a lethal light dose of 60 J cm−2 The results revealed a significant increase in viscosity after aPDT treatment. Additionally, image analysis confirmed substantial morphological changes indicative of cell death. These findings demonstrate the potential of optical tweezers as a non-invasive tool for assessing cellular health by providing both functional (viscosity) and morphological data on the response to aPDT.
Preparation and adsorption application of PLA/GO/PDA nanofiber membrane
Authors: Wei Li , Zhao Lei , Zhu Xun , He Jihuan , Yu Danni , Zhao Qingsong , Zong Kuikui , Wang Chunxia , MA Chunqin , BU Qihu 
Published: October 2024

Abstract
In this study, polylactic acid/graphene oxide/Dopamine (PLA/GO/DA) porous nanofiber membrane was prepared by electrospinning. L16(43) orthogonal experiment was designed to investigate the effects of reaction temperature, reaction time, and DA concentration on the adsorption performance of DA oxidized and self-polymerized on the fiber. Based on the characterization of scanning electron microscopy and the determination of the adsorption performance of the fiber membrane to methylene blue (MB) dye, data visualization analysis, variance analysis, and F-test were conducted to determine the optimal process parameters: reaction temperature of 45 °C, reaction time of 30 h, and DA concentration of 2 mg ml−1. PLA/GO/PDA(Polydopamine) nanofiber was prepared and characterized under the optimal process parameters. The results showed that the average diameter of the PDA-loaded nanofiber increased from 737 nm to 996 nm, and a layer of PDA with a thickness of about 129 nm was loaded on the outer surface of the fiber, making the contact angle of the fiber membrane with 0° and becoming a hydrophilic material. In adsorption performance testing of MB, the PLA/GO/PDA nanofiber membrane prepared based on the PLA/GO/DA fiber membrane with an adsorption rate of 98.81 % in 24 h was superior to the PLA/GO/PDA nanofiber membrane prepared based on the PLA/GO fiber membrane.
Ecological health evaluation of an urban riverside greenway based on the AHP-EWM-TOPSIS model: a case study of Hangzhou, China
Authors: Wang Bohao , Wang Yue , Yang Guofu , He Qiaoyi , Zhang Youli , Lu Yijun 
Published: October 2024

Abstract
Riverside greenways are complex artificial–natural composite ecosystems that occupy significant linear open spaces in urban areas. Healthy riverside greenways promote public health and improve urban environmental quality. This study developed an evaluation system with four criteria layers and 31 indicators, using a comprehensive method that combines the analytical hierarchy process (AHP), entropy weight method (EWM), and technique for order preference by similarity to ideal solution (TOPSIS) to assess the ecological health of the Shangtang River greenway in Hangzhou, China. Additionally, structural equation modeling analyzed key factors influencing riverside greenway health and their pathways. Redundancy analysis (RDA) was used to explore how design and non–design factors affect the ecological health of riverside greenways. The results showed health values for different sections of the riverside greenway ranging from 0.16 to 0.69. The use of ecological design techniques was the main factor causing significant variations in health values across sampling plots. Specifically, ecological revetments, the slope of terrain at water entry, and ecological conservation measures positively impacted the ecological health of the riverside greenway, while non–native invasive plants and building density had negative effects. Non–design factors, such as physical states, also play an equally important role in the ecological health of urban riverside greenways. Effectively assessing the ecological health of these greenways is essential for developing management strategies. This study presents a novel framework for evaluating the ecological health of urban riverside greenways by quantifying indicators related to the regional environment, physical conditions, management practices, and design techniques. It quantitatively analyzes how landscape design techniques contribute to ecological health and serves as an empirical tool for improving urban waterfront environments and advancing riverside greenway construction and management.
Advances of triboelectric and piezoelectric nanogenerators toward continuous monitoring and multimodal applications in the new era
Authors: Hong Jianlong , Wei Xiao , Zhang Huiyun , Xiao Yukun , Meng Chongguang , Chen Yuqi , Li Jiahui , Li Ling , Lee Sanghoon , Shi Qiongfeng , Wu Jun 
Published: October 2024

Abstract
Benefiting from the widespread potential applications in the era of the Internet of Thing and metaverse, triboelectric and piezoelectric nanogenerators (TENG & PENG) have attracted considerably increasing attention. Their outstanding characteristics, such as self-powered ability, high output performance, integration compatibility, cost-effectiveness, simple configurations, and versatile operation modes, could effectively expand the lifetime of vastly distributed wearable, implantable, and environmental devices, eventually achieving self-sustainable, maintenance-free, and reliable systems. However, current triboelectric/piezoelectric based active (i.e. self-powered) sensors still encounter serious bottlenecks in continuous monitoring and multimodal applications due to their intrinsic limitations of monomodal kinetic response and discontinuous transient output. This work systematically summarizes and evaluates the recent research endeavors to address the above challenges, with detailed discussions on the challenge origins, designing strategies, device performance, and corresponding diverse applications. Finally, conclusions and outlook regarding the research gap in self-powered continuous multimodal monitoring systems are provided, proposing the necessity of future research development in this field.
Advancements in 3D skin bioprinting: processes, bioinks, applications and sensor integration
Authors: Derman I Deniz , Rivera Taino , Garriga Cerda Laura , Singh Yogendra Pratap , Saini Shweta , Abaci Hasan Erbil , Ozbolat Ibrahim T 
Published: October 2024

Abstract
This comprehensive review explores the multifaceted landscape of skin bioprinting, revolutionizing dermatological research. The applications of skin bioprinting utilizing techniques like extrusion-, droplet-, laser- and light-based methods, with specialized bioinks for skin biofabrication have been critically reviewed along with the intricate aspects of bioprinting hair follicles, sweat glands, and achieving skin pigmentation. Challenges remain with the need for vascularization, safety concerns, and the integration of automated processes for effective clinical translation. The review further investigates the incorporation of biosensor technologies, emphasizing their role in monitoring and enhancing the wound healing process. While highlighting the remarkable progress in the field, critical limitations and concerns are critically examined to provide a balanced perspective. This synthesis aims to guide scientists, engineers, and healthcare providers, fostering a deeper understanding of the current state, challenges, and future directions in skin bioprinting for transformative applications in tissue engineering and regenerative medicine.
Development of a low frequency acoustic energy harvesting system by using piezoelectric transducers mounted on a metallic plate placed inside the centre of a hollow cylinder
Authors: Hazarika Manasmi , Roy Ram Kishore , Basumatary Anshay , Borah Nikhil , Bezboruah Tulshi 
Published: October 2024

Abstract
In this work, we are demonstrating an innovative acoustic energy harvesting system that utilizes a hollow polyvinyl dichloride cylinder with a metallic circular plate placed at the centre inside with five piezoelectric transducers mounted on it. A speaker, used as a source of acoustic waves, is fixed at the top of the cylinder by using a clamp. The cylinder, upon exposure to incident acoustic waves, induces resonance within it, generating an amplified stationary wave. The generated vibration drives the metallic plate mounted with piezoelectric transducers, which serves as a diaphragm. As a result, a pressure difference is developed across it and due to piezoelectric effect on the transducers, electricity is produced. Experimental results show that the system output voltage and power depends on various factors, including the elastic properties of the metallic plate, resonance frequency, and the distance of separation between the acoustic source and the plate. At an incident sound pressure level of 75 dB, the experimental results show that, at an acoustic resonance frequency of 310 Hz, the system yielded a maximum peak to peak voltage of 1000 mV and output power of 0.612 μW. Incorporation of a voltage doubler circuit with the harvester increases its power to 57.6 μW. The simplicity in design and cost-effectiveness of the proposed acoustic energy harvesting system renders it to be a promising avenue for energy harvesting implementations.
The Communication Domain
Authors: Hammel Alice M , Yee Roberta L 
Published: October 2024

Abstract
Communication is a necessary component of social learning and is the way we let the world know our wants and needs. It is also the key to companionship with others. We communicate through our eyes, voice, sensory input and output, and behaviors. In a way, communication is the most essential of the six domains for learning. Without communication, a child can withdraw into a silent world that does not include the connections we all need to join with others throughout our lives.