bluuebunny/crossref_metadata_2025_split huggingface dataset:
Experimental Investigation on High Frequency Perturbation to Combustion Instability by Low Frequency Actuator in a Backward-facing Step Combustor
Authors: Wang Chen , Cui Tao , Zheng Yao 
Published: March 2022

Abstract
Compared with the quasi-steady combustion process, the large pressure oscillation in the combustion unstable process contains rich physical characteristics and more severe structural damage phenomenon. The active control method is more flexible and efficient by controlling some parameters of the combustion system through the actuator, so as to destroy the coupling between heat release oscillation and acoustic disturbance. However, the existing active control method is limited by the lack of model and actuator frequency, which has limitations on the control ability of the unsteady process. In this paper, a low-frequency actuator is used to stimulate the fuel injection system of the rear step combustors, and the time series of the experimental pressure measurement of the combustors is analyzed qualitatively. It is found that the periodic excitation signal will trigger the modal conversion of the frequency and amplitude of the combustors, which makes the intermittent state of the system appear obviously in advance or lag phenomenon. Through the analysis of the pressure sequence recursion diagram, it is considered that the low frequency actuator excited by the high frequency periodic signal has an effect on the combustion state transition of the combustor.
Tension Calibration Technique for Pre-tightened Wire Rope with Both Ends Fixed Measured by Tensiometer
Authors: Wang Jie , Wang Hong , Du Jianghua , Zhou Shan , Li Xiaochun 
Published: March 2022

Abstract
The tension precision of pre-tightened wire rope with both ends fixed (PWRBEF) was very important for closed loop configuration (CCL) module of the satellite solar array. A high-precision, high-reliability and high-efficiency tension calibration technology for PWRBEF measured by tensiometer was presented in this paper. With the technique, a portable tension calibration system was established to carry on the calibration experiments, which can decouple the measurement error caused by all factors. The single or multiple factors relationship were analysed to eliminate the measurement error of PWRBEF. Depending on the experiments results, the calibration database was built to test and adjust the tension of the PWRBEF in the CCL module. The high compliance and consistency between the adjustment results of tension and the design requirements had been achieved. The deployment synchronization and deployment reliability of the solar array were effectively ensured.
Research on Safety Assessment Method on Integrated Modular Avionics Based on Cascading Effect Analysis
Authors: Cheng Ni , Shi Zhijian , Wang Yuqing 
Published: March 2022

Abstract
As a key airborne electronic system of civil aircraft, the safety of IMA is very important. IMA has many interconnected systems and wide influence scope, the influence of its failure consequences is difficult to determine, and therefore a method for IMA safety assessment based on IMA has many interconnected systems and wide influence scope, the influence of its failure consequences is difficult to determine, and therefore a method for IMA safety assessment based on Firstly single and combined IMA equipment failure modes are identified, and then for each IMA failure mode, Firstly single and combined IMA equipment failure modes are identified, and then for each IMA failure mode, direct effect on user system and indirect effect on interconnected system are analysed, multiple round interactions until all effects are captured, Finally aircraft-level effect is analysed, and through simulation experiment to further verify.
Research on methods of enhancing physical layer security of optical fiber communication system in the smart grid
Authors: Chen Wenhui , Mu Penghua 
Published: March 2022

Abstract
We investigate numerically the security enhanced optical communication which can be used in smart grid, while the time-delay signature suppression, intelligent control and high quality communication are reached at the same time. In this paper, the communication system includes the driven part, national dispatching control centre (NDCC) and the controlled substations (CSs). To enhance the security of communication system, the driven part which includes two semiconductor lasers, is employed to suppress the time-delay signature. Also, the chaos synchronization between NDCC and different CSs can be selectively realized by controlling the injection parameters. Finally, the high quality communication between NDCC and CS1 is discussed. This research paves the way to the application of chaotic communication in smart grid.
Distributed dispatching method of active distribution network considering multiple regulation resources
Authors: Lu Shuijin , Mo Yujie 
Published: March 2022

Abstract
In view of the low capacity of distribution network to accept renewable energy such as wind power and photovoltaic, which leads to the failure of active distribution network to achieve the expected economic benefits, a distributed scheduling method of active distribution network considering multiple regulation resources is proposed in this paper. In the case of multiple coupled energy access, the resource collaborative scheduling principle is designed, the business process of adjustable resources participating in the emergency coordination control of auxiliary distribution network is proposed, and the supply side resources and demand side resources are planned. The installation location and initial capacity of distributed generation are determined by network sensitivity factor method. After optimizing the capacity, the location and scale of distributed generation are obtained. Considering the load response and distribution of distributed generation, the distributed dispatching model of active distribution network is established with the goal of minimizing output cost and dispatching cost. The net annual value method is used to calculate the operation benefit increment of distribution network, so as to evaluate the effect of control. Taking the pilot project in Zhejiang as an example, the maximum operating benefit increment of this method is 367600 yuan, which is 32800 yuan and 45300 yuan higher than the scheduling method based on power load temporal and spatial correlation and risk distribution respectively, which can improve the operating benefit for the power grid company.
Research on magnetizing inrush current of microgrid based on Grey identification
Authors: Huang Qiyue , Jia Lizhu 
Published: March 2022

Abstract
With the large-scale access of wind and light energy, the power system is gradually developing towards the micro grid with low inertia. AC microgrid often uses multiple parallel transformers to supply power to the load at the same time. In case of power failure due to a fault or maintenance, the parallel transformer needs to be powered on and closed without load to restore power supply. The parallel transformer is easier to saturate, the core remanence is higher, and the peak value of inrush current is larger, which has an impact on the stability of microgrid. It will also lead to misoperation of transformer differential protection and affect the safe and stable operation of power system. Therefore, a switching method of parallel transformer based on Grey recognition is proposed. Firstly, the generation mechanism of inrush current is analyzed theoretically, and then the waveform shape characteristics are analyzed. The grey whitening weight clustering method is used to identify the feature set to complete the magnetizing inrush current locking and ensure that the protection does not misoperate. Finally, the PSCAD simulation model is established to simulate the AC microgrid to verify the feasibility of this method.
A Simple Method of Non-Intrusive Load Monitoring Based on BP Neural Network
Authors: Zhang Luhao , Zhu Hongwei 
Published: March 2022

Abstract
Non-Intrusive Load Monitoring (NILM) is a method to breakdown the total power consumption into individual application, and it has great value for improving energy utilization. Deep-learning methods on high frequency data usually have a complex structure. Here, we use BP network with single hidden layer to achieve the task of NILM and get great results. The methods in this paper include event detection, feature extraction to get event-based differential current, data augmentation and application classification. BLUED dataset is used for this experiment. Our method has a good performance in BLUED dataset, with above 95% accuracy on phase A and B for application classification.
Simulation analysis of metal sheath and Armor loss of DC submarine cable based on COMSOL
Authors: You Yu-ning 
Published: March 2022

Abstract
The construction of submarine cable is recognized as a highly complex and difficult subject and project all over the world. Due to the special environment of the seabed, the submarine photoelectric composite cable needs protection. So armor was added. This makes the structure more complex and restricts the current carrying capacity. The loss of armor and metal sheath is the key factor restricting the current carrying capacity. Based on the finite element analysis method and COMSOL Multiphysics, this paper simulates and analyses the single core DC cable, and quantitatively explores the influence of different properties of armor materials on metal sheath and armor loss. It is concluded that the relative permeability of steel wire armor has a greater impact than conductivity in practical engineering, and the total loss of cable tends to be stable under high permeability. It has practical value and special significance for cable engineering construction.
Research on primary frequency modulation control strategy of wind power based on energy storage
Authors: Suo Dongnan 
Published: March 2022

Abstract
As a renewable energy, the uncontrollability of wind energy resources will cause the instability of the power grid. The research on the primary frequency modulation control strategy of wind power has become an urgent problem to be solved. Doubly fed wind power generation is the mainstream generator. The main methods of participating in frequency modulation include inertia control method and load shedding control method. This paper analyzes the doubly fed wind turbine model, analyzes its problems in the process of frequency modulation, and establishes the frequency modulation control strategy of wind turbine in the whole wind speed range by selecting the critical wind speed point. Energy storage technology has the advantages of instantaneous accurate response, safety and reliability. Based on the above, this paper studies the primary frequency modulation of wind power energy storage.
Flow separation sensing on airfoil using a 3D printed biomimetic artificial hair sensor
Authors: Rajasekaran Keshav , Bae Hyung Dae , Bergbreiter Sarah , Yu Miao 
Published: March 2022

Abstract
Small-scale unmanned air vehicles require lightweight, compact, and low-power sensors that encompass a variety of sensing modalities to enable flight control and navigation in challenging environments. Flow sensing is one such modality that has attracted much interest in recent years. In this paper, a micro-scale artificial hair sensor is developed to resolve both the direction and magnitude of airflow. The sensor structure employs a high-aspect ratio hair structure and a thin flexible membrane to facilitate the transduction of directional airflow to membrane deflection. The sensor readout is based on capacitive sensing and two pairs of electrodes orthogonal to each other are used to obtain airflow directional information. The sensor structure was fabricated using two-photon polymerization and integration onto a miniature printed circuit board to enable simple measurement. The sensor’s responses to static displacement loading from different directions were characterized. The experimental results are in good agreement with the simulation results. Furthermore, the sensor’s capability to measure the direction and magnitude of flow was demonstrated. Finally, the sensor was mounted on an airfoil and its ability to detect flow separation was verified.
Plant-inspired multi-stimuli and multi-temporal morphing composites
Authors: Le Ferrand Hortense , Riley Katherine S , Arrieta Andres F 
Published: March 2022

Abstract
Plants are inspiring models for adaptive, morphing systems. In addition to their shape complexity, they can respond to multiple stimuli and exhibit both fast and slow motion. We attempt to recreate these capabilities in synthetic structures, proposing a fabrication and design scheme for multi-stimuli and multi-temporal responsive plant-inspired composites. We leverage a hierarchical, spatially tailored microstructural and compositional scheme to enable both fast morphing through bistability and slow morphing through diffusion processes. The composites consisted of a hydrogel layer made of gelatine and an architected particle-reinforced epoxy bilayer. Using magnetic fields to achieve spatially distributed orientations of magnetically responsive platelets in each epoxy layer, complex bilayer architectural patterns in various geometries were realised. This feature enabled the study of plant-inspired complex designs, via finite element analysis and experiments. We present the design and fabrication strategy utilizing the material properties of the composites. The deformations and temporal responses of the resulting composites are analysed using digital image correlation. Finally, we model and experimentally demonstrate plant-inspired composite shells whose stable shapes closely mimic those of the Venus flytrap, while maintaining the multi-stimuli and multi-temporal responses of the materials. The key to achieving this is to tune the local in-plane orientations of the reinforcing particles in the bilayer shapes, to induce distributed in-plane mechanical properties and shrinkage. How these particles should be distributed is determined using finite element modelling. The work presented in this study can be applied to autonomous applications such as robotic systems.
Air pollution and economic growth nexus in Nigeria: the case for environmental sustainability
Authors: Nchege Johnson , Okpalaoka Chijindu 
Published: March 2022

Abstract
This research investigates the link between air pollution and economic growth in Nigeria from 1985 to 2019 using the Autoregressive Distributed Lag (ARDL) methodology. Air pollution was captured by nitrous oxide emission and carbon dioxide emission, while economic growth was proxied by gross domestic product (GDP). Empirical results showed that gross fixed capital formation (domestic investment) had a significant positive impact on the gross domestic product, butnitrous oxide emission and carbon dioxide emission had negative and insignificant impacts on gross domestic product. Based on the above, the study recommended the introduction and proper implementation of more policies like carbon taxingin specific industries emitting large volume of greenhouse gases – like cement and petrochemical industries. Also, revenue from this form of tax should be invested in projects that would generate employment opportunities for the people, especially the youths.The study also suggests that the government implement policies to promote domestic green hydrogen investments.
Investigating the epidemiological factors responsible for malaria transmission dynamics
Authors: Adegbite Gbenga , Edeki Sunday , Isewon Itunuoluwa , Dokunmu Titilope , Rotimi Solomon , Oyelade Jelili , Adebiyi Ezekiel 
Published: March 2022

AbstractDespite concerted efforts by the World Health Organization (WHO) to control malaria, it is still being diagnosed in patients visiting hospitals in Tropical Countries of the World. Hence, this study investigated the risk factors responsible for malaria transmission dynamics through a hospital case study. Data of patients that presented with malaria from June 2019 to December 2020 were acquired from Covenant University Medical Centre in Ota, South West Nigeria. Descriptive statistical analyses were carried out so as to examine the factors associated with malaria incidence rate such as age, gender and travel history using the R programming platform. 14% of the total outpatient visits from June 2019 to December 2020 presented with malaria. Furthermore, the mean of the ages of those that presented with malaria, was 23.10 whereas the median of their ages was 22.0. Out of the total malaria cases, 57.7% were males whereas 42.3% were females. Results also showed that there was a significant positive correlation between malaria and travel. In conclusion, it is recommended that malaria control policy formulators should focus on the most vulnerable group of individuals as identified in this study. Further, more efforts should be geared towards curbing malaria importation as a result of human travel, by the different health authorities across the globe.
Examination of the Physics solution of COVID-19
Authors: Abodunrin T.J. , Emetere M.E. 
Published: March 2022

Abstract
The Viruses are pathogens capable of infecting more than 10% of the world’s population annually in epidemics responsible for 3 to 5 million cases of severe illness and up to 500 000 deaths. In addition, new virus variants pose a continuous threat of sparking pandemic outbreaks. The success of the viral attack is attributed to their sheath in a capsid, abnormal mass production of infective RNA or DNA genetic material in living target. Other features include, great symmetry in structures based on assorted geometries with amazing mechanical properties. Consequently, prognostic models have been deployed to regulate and unravel understanding for successful treatment of viruses. In particular, this report seeks to investigate SARS-CoV-2 through its viral shell mechanical properties and a novel point of entropy and thermodynamic principles. It concludes with recommendation of effective physical remedies for SARS-CoV-2 from a local and global outlook.
Active near-field plasmonic switches based on Sierpiński-fractal nanoantennas on VO2 films
Authors: Sharma Yashna , Dhawan Anuj 
Published: March 2022

Abstract
We propose active near-field plasmonic switches based on a Sierpiński-fractal contour-bowtie plasmonic nanoantenna on top of a VO2 (vanadium-dioxide) thin film. The near-field intensity of the proposed fractal plasmonic nanoantenna can be switched by the application of heat, voltage, or optical energy to the underlying VO2 layer, which leads to a phase change of VO2 from the semiconductor state to the metallic state. This phase transition of the underlying VO2 film leads to an overall change in the optical properties of the nanoantenna system, hence driving the switch from an OFF state (with low near-field intensity) to an ON state (with high near-field intensity). The near-field switching ability of the proposed switch is quantified by the intensity switching ratio (ISR), i.e. the ratio of the intensity between the two arms of plasmonic nanoantenna in its ON state to its OFF state (I
ON/I
OFF). Finite difference time domain simulations were employed to calculate the ISR of the proposed near-field plasmonic switches. As the fractal order of the Sierpiński-fractal contour-bowtie nanoantenna is increased, the intensity in the ‘ON’ state of the switch is enhanced along with a reduction of intensity in the ‘OFF’ state of the switch. Thus, higher fractal orders of the Sierpiński-fractal contour-bowtie plasmonic nanoantenna lead to very high values of the ISR for the proposed near-field switch. We demonstrate an ISR of ∼900 with a fractal order of 2 for the proposed switch which is the highest value of near-field ISR reported thus far for a near-field plasmonic switch. Further, we also demonstrate that the ISR and the spectral response of the proposed near-field switch can be controlled by changing its structural parameters such as the length of the nanoantenna arm, the contour thickness, and the thickness of VO2 layer.
Fat Grafts Augmented With Vitamin E Improve Volume Retention and Radiation-Induced Fibrosis
Authors: Abbas Darren B , Lavin Christopher V , Fahy Evan J , Griffin Michelle , Guardino Nicholas J , Nazerali Rahim S , Nguyen Dung H , Momeni Arash , Longaker Michael T , Wan Derrick C 
Published: March 2022

Abstract

Background
Treatments for radiation-induced fibrosis range from vitamin E (VE) and pentoxifylline (PTX) systemically to deferoxamine and fat grafting locally. Regarding fat grafting, volume retention hinders its long-term functionality and is affected by 2 factors: inflammation and necrosis secondary to hypovascularity.

Objective
The authors aimed to simultaneously improve fat graft retention and radiation-induced fibrosis by integrating VE and PTX into fat grafts locally.

Methods
Forty adult CD-1 nude male mice, 6 weeks old, underwent scalp irradiation and recovered for 4 weeks to allow for development of fibrosis. Mice received 200 μL of donor human fat graft to the scalp. Mice were separated into 4 conditions: no grafting, fat graft without treatment, graft treated with PTX, and graft treated with VE. Fat graft volume retention was monitored in vivo with micro-computed tomography scans at weeks 0, 1, 2, 4, 6, and 8 after grafting. Histological and cytokine analysis of the scalp skin and fat grafts were performed.

Results
VE-treated grafts had significant improvement in dermal thickness and collagen density of overlying skin compared with all other groups. VE decreased 8-isoprostane and increased CD31+ staining compared with the other grafted groups. Cytokine analysis revealed decreased inflammatory and increased angiogenic markers in both the fat graft and overlying skin of the VE group. Fat graft volume retention was significantly improved in the VE group starting at 1 week post grafting.

Conclusions
Radiation-induced fibrosis and fat graft volume retention are both simultaneously improved with local administration of VE.
Expanding interactome analyses beyond model eukaryotes
Authors: James Katherine , Wipat Anil , Cockell Simon J 
Published: March 2022

AbstractInteractome analyses have traditionally been applied to yeast, human and other model organisms due to the availability of protein–protein interaction data for these species. Recently, these techniques have been applied to more diverse species using computational interaction prediction from genome sequence and other data types. This review describes the various types of computational interactome networks that can be created and how they have been used in diverse eukaryotic species, highlighting some of the key interactome studies in non-model organisms.