bluuebunny/crossref_metadata_2025 huggingface dataset:
“Please make sure we don’t get this interpreter again”
Authors: Xu Han
Published: March 2024

Based on data obtained from semi-structured interviews with legal aid lawyers in Australia, this study examines
lawyers’ experience of working with interpreters in confidential legal settings. These interviews focused on lawyers’ knowledge of
the interpreting profession and their expectations of interpreting services. The findings show that lawyers overall possess a
sound knowledge of how to work with interpreters, as evidenced in their recognition of the interpreter’s ethical role, their
awareness of the need to accommodate the interpreter’s professional needs, and their ability to use various strategies to evaluate
interpreting quality. In terms of lawyers’ expectations, they value interpreters speaking the right dialect, being patient, and
complying with ethical requirements. The lawyers’ expectations of interpreting services are closely related to their professional
goal. However, lawyers raise serious issues about telephone interpreting, including interpreters not working in a secure location
and engaging in other activities during interpreting.
The emerging roles of non-canonical ubiquitination in proteostasis and beyond
Authors: Akizuki Yoshino , Kaypee Stephanie , Ohtake Fumiaki , Ikeda Fumiyo
Published: March 2024

Ubiquitin regulates various cellular functions by posttranslationally modifying substrates with diverse ubiquitin codes. Recent discoveries of new ubiquitin chain topologies, types of bonds, and non-protein substrates have substantially expanded the complexity of the ubiquitin code. Here, we describe the ubiquitin system covering the basic principles and recent discoveries related to mechanisms, technologies, and biological importance.
Evolution of ferrimagnetism against Griffiths singularity in calcium ruthenate
Authors: Kesarwani Pooja , Nath Sarangi Sachindra , Samal D , Sow Chanchal
Published: March 2024

The magnetism in the correlated metal CaRuO3 is enigmatic as it is poised near a triple point among the ferromagnetic, antiferromagnetic, and paramagnetic ground states. Here we report a detailed work on structural, spectroscopic, magnetic, and transport properties in CaRu

1
−
x

Cr
x
O3. We find that Cr doping reduces the orthorhombicity in CaRuO3. Surprisingly, a tiny (x = 0.01) amount of Cr-doping drives the magnetic ground state from ‘paramagnetic-like’ to ferrimagnetic. Slightly higher Cr-doping (x = 0.05) results formation of magnetic clusters which gives rise to Griffiths singularity and power law divergence in magnetic susceptibility. The magnetism in CaRu

1
−
x

Cr
x
O3 is explained in terms of ‘seven atom’ ferrimagnetic clusters. Electrical transport shows a gradual evolution of a non-metallic state upon Cr-doping. In particular, for x

⩾

0.1, the temperature-dependent resistivity follows Mott-VRH conduction. The XPS study also supports significant role of disorder and electron correlation which effectively reduces the itinerant character of electrons. Finally, a new T-x phase diagram is constructed depicting the evolution of electronic and magnetic state in CaRu

1
−
x

Cr
x
O3.
An integrated approach combining randomized kernel PCA, Gaussian mixture modeling and ICA for fault detection in non-linear processes
Authors: Khurshid Amir , Pani Ajaya Kumar
Published: March 2024

Principal component analysis (PCA) and independent component analysis (ICA), as well as their kernel extensions, have been widely applied in the past for industrial fault detection with Gaussian or non-Gaussian process data with linear or non-linear characteristics. Kernel-based techniques lead to computational complexity due to the high dimensionality of the dataset in the feature space. In this work, a randomization approach is used to obtain a low-rank approximation of the high-dimensional kernel matrix. A hybrid machine learning technique is proposed that integrates randomized kernel PCA (RKPCA) with ICA and Gaussian mixture modeling (GMM). The proposed approach, ICA-RKPCA-GMM, addresses the Gaussian and non-Gaussian characteristics of non-linear process data. Another hybrid algorithm combining three basic techniques of ICA, PCA and GMM is also developed (ICA-PCA-GMM). The fault detection performances of the proposed techniques (ICA-RKPCA-GMM and ICA-PCA-GMM) are compared with PCA, ICA, KPCA and combined ICA-PCA techniques by applying the techniques to two benchmark systems. Monitoring performances were evaluated by determining the false alarm rate and fault detection rate for different types of process and sensor faults. The simulation results show that the proposed ICA-RKPCA-GMM approach yields better results than individual ICA, PCA and KPCA techniques, the combined ICA-PCA and the proposed ICA-PCA-GMM technique.
Semi-physical simulation-driven contrastive decoupling net for intelligent fault diagnosis of unseen machines under varying speed
Authors: Shi Zhen , Chen Jinglong , Zi Yanyang , Cao Kuan , Li Biao
Published: March 2024

Multi-source domain generalization provides a good idea for intelligent fault diagnosis of unseen machines. However, the acquisition of multi-source training sets would not only affect the generalization effect, but also cause huge economic loss. Too much difference between source training sets would lead to negative transfer, while too much similarity between the sets would cause zero transfer. Simultaneously, the current methods based on the assumption of stable speed cannot realize intelligent diagnosis under varying speed. Therefore, a semi-physical simulation-driven contrastive decoupling network is presented. First, a phenomenological model is used to generate large amount of simulation data with different modulation frequencies and signal-to-noise ratios to provide support for the training of the net. Next, with the joint help of simulation data and physical data, a contrastive framework is introduced to extract domain-independent features. Finally, a decoupling framework is proposed to minimize speed-related information while maximizing health-related features, thereby enabling intelligent diagnosis of unseen devices at varying speed. The proposed method is tested on two cases operating under sharp speed variation and compared with some state-of-the-art methods. The results show the superiority of the proposed net in intelligent diagnosis of unseen equipment under drastically varying speed.
Cavitation-induced pressure saturation: a mechanism governing bubble nucleation density in histotripsy
Authors: Maxwell Adam D , Vlaisavljevich Eli
Published: March 2024

Objective. Histotripsy is a noninvasive focused ultrasound therapy that mechanically disintegrates tissue by acoustic cavitation clouds. In this study, we investigate a mechanism limiting the density of bubbles that can nucleate during a histotripsy pulse. In this mechanism, the pressure generated by the initial bubble expansion effectively negates the incident pressure in the vicinity of the bubble. From this effect, the immediately adjacent tissue is prevented from experiencing the transient tension to nucleate bubbles. Approach. A Keller–Miksis-type single-bubble model was employed to evaluate the dependency of this effect on ultrasound pressure amplitude and frequency, viscoelastic medium properties, bubble nucleus size, and transducer geometric focusing. This model was further combined with a spatial propagation model to predict the peak negative pressure field as a function of position from a cavitating bubble. Main results. The single-bubble model showed the peak negative pressure near the bubble surface is limited to the inertial cavitation threshold. The predicted bubble density increased with increasing frequency, tissue viscosity, and transducer focusing angle. The simulated results were consistent with the trends observed experimentally in prior studies, including changes in density with ultrasound frequency and transducer F-number. Significance. The efficacy of the therapy is dependent on several factors, including the density of bubbles nucleated within the cavitation cloud formed at the focus. These results provide insight into controlling the density of nucleated bubbles during histotripsy and the therapeutic efficacy.
Biaxial strain modulation of the optoelectronic properties of F-doped defective monolayer SnS2
Authors: Ma Mengting , Liu Guili , Yang Zhonghua , Zhang Guoying
Published: March 2024

The first principles approach calculates the geometrical structure, stability, and optoelectronic properties of F-atom doped S vacancy defective SnS2 systems under biaxial tensile and compressive deformation. The calculations show that all systems can be formed stably, and defects and F doping cause a tiny increase in the average bond length of the systems. The formation of defects converts an indirect bandgap system into a direct one. Substitutional doping of F atoms transforms the SnS2 structure into a p-type semiconductor. The doped system’s valence band mainly originates from S-3p orbitals, Sn-5p orbitals, and F-2p orbitals. The conduction bands mainly originate from the S-3p, Sn-5s, and F-2p orbitals. The absorption and reflection peaks of the doped system with applied strain are blueshifted at the maximum peak. The biaxial compressive strain increases the band gap and decreases the doped system’s refractive index and extinction coefficient. The biaxial tensile strain increases the band gap of the doped system, the hybridization of the valence band of the system is enhanced, the conductivity of the real part of the complex dielectric function of the system is increased, and the refractive index of the system is elevated. The biaxial stretching strain can better change the sensitivity of the F-doped system to visible light.
Linear dichroism transition and polarization-sensitive photodetector of quasi-one-dimensional palladium bromide
Authors: Zhu 朱 Wan-Li 万里 , Zhen 甄 Wei-Li 伟立 , Niu 牛 Rui 瑞 , Jiao 焦 Ke-Ke 珂珂 , Yue 岳 Zhi-Lai 智来 , Hu 胡 Hui-Jie 慧杰 , Xue 薛 Fei 飞 , Zhang 张 Chang-Jin 昌锦
Published: March 2024

Perpendicular optical reversal of the linear dichroism transition has promising applications in polarization-sensitive optoelectronic devices. We perform a systematical study on the in-plane optical anisotropy of quasi-one-dimensional PdBr2 by using combined measurements of the angle-resolved polarized Raman spectroscopy (ARPRS) and anisotropic optical absorption spectrum. The analyses of ARPRS data validate the anisotropic Raman properties of the PdBr2 flake. And anisotropic optical absorption spectrum of PdBr2 nanoflake demonstrates distinct optical linear dichroism reversal. Photodetector constructed by PdBr2 nanowire exhibits high responsivity of 747 A⋅W−1 and specific detectivity of 5.8 × 1012 Jones. And the photodetector demonstrates prominent polarization-sensitive photoresponsivity under 405-nm light irradiation with large photocurrent anisotropy ratio of 1.56, which is superior to those of most of previously reported quasi-one-dimensional counterparts. Our study offers fundamental insights into the strong optical anisotropy exhibited by PdBr2, establishing it as a promising candidate for miniaturization and integration trends of polarization-related applications.
Galvanic vs. pulsatile effects on decision-making networks: reshaping the neural activation landscape
Authors: Adkisson Paul W , Steinhardt Cynthia R , Fridman Gene Y
Published: March 2024

Objective. Primarily due to safety concerns, biphasic pulsatile stimulation (PS) is the present standard for electrical excitation of neural tissue with a diverse set of applications. While pulses have been shown to be effective to achieve functional outcomes, they have well-known deficits. Due to recent technical advances, galvanic stimulation (GS), delivery of current for extended periods of time (>1 s), has re-emerged as an alternative to PS. Approach. In this paper, we use a winner-take-all decision-making cortical network model to investigate differences between pulsatile and GS in the context of a perceptual decision-making task. Main results. Based on previous work, we hypothesized that GS would produce more spatiotemporally distributed, network-sensitive neural responses, while PS would produce highly synchronized activation of a limited group of neurons. Our results in-silico support these hypotheses for low-amplitude GS but deviate when galvanic amplitudes are large enough to directly activate or block nearby neurons. Significance. We conclude that with careful parametrization, GS could overcome some limitations of PS to deliver more naturalistic firing patterns in the group of targeted neurons.
The sound absorption properties of a double-leaf micro perforated panel (DL-MPP) made from a double-layered polypropylene material.
Authors: Yahya M N , Che Din N , Desmond Daniel C V S , Haron Z , Yahya K , Mohd Junaid T
Published: March 2024

Micro-perforated panel sound absorbers are recognized as an alternative method for noise control, offering advantages over conventional porous absorbers. However, the sound absorption of a single micro-perforated panel (MPP) is limited in its ability to cover a broad range of frequencies, especially in the low-frequency region. Therefore, the primary focus of this study is to investigate the sound absorption performance of a double-leaf micro-perforated panel (DL-MPP) absorber, which aims to achieve high sound absorption across a wide frequency range. This study examines the impact of varying parameters, including perforation ratio, diameter of perforated holes, and air gap thickness, on the sound absorption characteristics of a polypropylene-based DL-MPP absorber. Polypropylene was used as the sound absorption material for this investigation. The DL-MPP absorber consists of two perforated panels installed parallel to a rigid back wall, with an air gap between them. To assess the sound absorption performance, a prototype of the DL-MPP absorber was fabricated and tested using a two-microphone impedance tube method following ASTM E1050 standard. The results demonstrate that the optimal sound absorption performance was achieved by designing the MPPs with a 1% perforation ratio, 1 mm diameter of perforated holes, and a 1 mm sample thickness.
Sound reflection patterns in the classroom of slanted floor
Authors: Amizi H H , Harun M , Rashid R A
Published: March 2024

Speech intelligibility (SI) is the measurement of understanding the speech sound by the individuals. In the classroom, modern engineering acoustics has been discussing about the effect of SI such as the academic performance and health of students. Sound reflection in the classroom is one of the factors that affect SI and it is characterized into two types which are early reflections and late reflections. The purpose of this research was to obtain the sound reflection pattern in two classrooms with slanted floor of about the same size. It was done by capturing the sound signal at 12 measurement points in the classroom using Real Wave Analyzer (RWA) and a Smartphone. The sound signals were converted into Power Spectral Density (PSD) using Matlab to analyse the sound reflection patterns. This research also aims to observe the difference of PSD results from which the sound signals were acquired from RWA and Smartphone. It has been found that, the nearer the distance of the ground to ceiling results a higher PSD in both room sample at 1000Hz. Besides, using Smartphone results a higher PSD compared to using RWA at 500Hz. In conclusion, the nearer distance of ground to ceiling in a slanted floor classroom results a higher PSD at 1000Hz
Sound Absorption of Microperforated Panel Made from Polylactic Acid (PLA)
Authors: Daniel Chin Vui Sheng Desmond , Nizam Bin Yahya Musli , Bin Che Din Nazli , Aisyah Bin Mohamad Nazam Nur , Yinn Wong Keng , Asyraf M. R. M. , Sekar Vignesh
Published: March 2024

The microperforated panel (MPP) is a unique panel that has evolved from the traditional perforated panel. Previously, the perforated panel was mainly used as a protective cover for porous materials. The MPP absorbs sound through the viscous effect around its perforated holes. However, traditional MPPs are typically made from metallic materials that are not environmentally friendly. In contrast, polylactic acid (PLA) is a biopolymer extracted from natural resources such as corn and sugarcane. When buried in soil, PLA degrades naturally with the assistance of soil bacteria and fungi, making it an eco-friendly choice. In this study, 3D printing method was utilized to produce MPP using PLA as the material. The sound absorption performance of PLA MPP was compared to steel MPP, which served as the benchmark. Interestingly, the sound absorption performance of PLA MPP was found to be comparable to that of steel MPP. This highlights PLA as a viable material for MPP production, aligning with the global goal of environmental preservation and Sustainable Development Goal (SDG) 12, which emphasizes responsible consumption and production.
The Effects of Signal Processing Techniques in Damage Detection and Structural Health Monitoring
Authors: Rahim S , Najmi A , Samin R , Rahman N I , Sathurshan S
Published: March 2024

This work focuses on the application of the well-known signal processing techniques such as the time series models, Fourier transform, and wavelet transform in visualizing peaks of vibration and their pattern that are used in structural health monitoring. The primary objective of this study is to compare the ability of the continuous wavelet transform (CWT) series and the Fast Fourier Transform (FFT) series in detecting mechanical faults, specifically looseness and bearing condition, in an electrical motor simulator through the visualization of vibration peak changes. By utilizing these two signal processing techniques, the frequency peaks caused by alterations in the structure have been compared. It is done on a vibration experiment under different bearing conditions such as normal condition, looseness of bearing mountings at the mid of the shaft and loose end condition, bearing damage at mid and end condition. These defects are performed using two different speeds. The vibrations were measured with a Dytran Triaxial Accelerometer with three different axis which were X, Y and Z axis. Then, the raw data obtained in acceleration transformed into time series, Fourier transform and finally wavelet transform using Matlab software. As the raw data was collected in time series, they are transformed to frequency spectrum using the Fourier transform. The frequency data have been chosen by the comparison of the X, Y and Z axis in time series based on the most significant amplitudes in respective to the three-axis stated. Finally, continuous wavelet transform (CWT) series are compared with the frequency peaks obtained using the Fast Fourier Transform (FFT). CWT used to plot the data by using magnitude scalogram method. It is shown that this method has provided a better way to visualize and identify the vibration peaks through all frequency ranges with respect to time and magnitude of vibration. One notable advantage of employing CWT is the simultaneous display of magnitude and time measurements alongside color-scaled frequency peaks on the plot. This scalogram visualization permits more precise detection of the fluctuation of vibration peaks than the FFT, which can be laborious. Therefore, CWT has the better effective techniques in detection of high vibration in scope of this work.
Flow Field Simulation and Nozzle Parameter Optimization of Rust Removal Robot Based on High-Pressure Water Jet Technology
Authors: Peng Wei , Ma Yue , Li Bin , Wang Xinjie , Peng Pai , Wang Jinyuan
Published: March 2024

To enhance the safety and longevity of large ships, employing high-pressure water jet technology for rust removal is crucial in this article, the qualitative relationship among the key parameters of high-pressure water jet rust removal is analyzed theoretically. Secondly, the flow field simulation is carried out using Computational Fluid Dynamics (CFD) software to verify the relationship among the key parameters. Finally, the influence of different nozzle length-diameter ratios on jet characteristics is analyzed. The simulation results show that the nozzle end length is 0 mm and the nozzle diameter is 1mm for the straight-cone convergent nozzle with a shrinking angle of 30° when the diameter of the length-diameter ratio remains unchanged and the length of the nozzle end is changed. Simultaneously, the highest values are observed for the nozzle exit velocity and the impact force on the target surface. The impact range of target shear force takes the maximum value when the length-diameter ratio is 1. Further, by changing the length of the nozzle-end and the nozzle diameter in the length-diameter ratio, the influence on the jet characteristics can be concluded that the nozzle diameter has a greater influence on the nozzle exit velocity than the nozzle-end length. On this basis, the optimized nozzle parameters can be obtained i.e., the nozzle-end length is 1 mm and the nozzle diameter is 1 mm, such that the effective striking area of the jet is the largest and the striking effect is the best.
Temperature Rising Analysis of Dry-type Reactor Based on Multi-physical Coupled-field Method
Authors: Wu Xiong , Fan Zhi , Yang Shuang
Published: March 2024

To study the temperature-rising characteristics of the windings of the dry-type reactor, a three-dimensional (3D) finite element (FE) simulation model of electromagnetic-fluid-temperature coupling of the reactor is constructed by using the method of the multi-physical field coupled modeling. Firstly, based on the magnetic-circuit coupled theory, the electromagnetic analytical model of the reactor is created and analyzed, and the heat density per unit volume of the reactor is obtained. Then, based on the heat transfer principle of fluid-temperature coupling, taking the heat density per unit volume of the reactor as the heat source, the 3D model of the reactor with fluid-temperature coupling is analyzed by the finite volume method, and the distribution of the internal temperature of the reactor is obtained. From the simulation results of the reactor, the temperature in the upper region is higher than that in the lower region, and the temperature of both sides is lower than that of the middle region. The change regulations of the temperatures in the different encapsulations are basically the same. The temperature gradually increases from the bottom to the top, and the maximum temperature locates at approximately 90% of the axial height of the reactor. The research results provide reference for structure modification, temperature-rising monitoring and overheating fault diagnosis of the reactor.
Research and application on intelligent monitoring and early warning system for Inner-Suspended gin poles
Authors: Xia Yongjun , Sun Lijiang , Zhang Xing , Meng Fanhao , Ma Yong
Published: March 2024

The pressure of the inner suspension pole body is one of the key control indicators that need to be focused on in the design and use of the pole. A real-time intelligent monitoring and early warning system for the working status of the internal suspension pole tower is developed to address safety issues such as excessive inclination, excessive force on the stay wire or support rope during the construction process, including pole body pressure monitoring. The system monitors the axial pressure and inclination angle of the pole body using an integrated sensor for the axial pressure and inclination angle of the pole body. The tension sensor monitors the tension of the lifting, pulling, and supporting ropes, and the anemometer monitors the environmental wind speed. The monitoring data is fed back to the monitoring system through a wireless transmission module, and the safety of the pole state is determined in real-time through an embedded algorithm. When the preset threshold is exceeded, an audible and visual warning is issued. A comparison was made between the actual lifting test and theoretical calculation values, and engineering applications were completed.
Multi-physical Field Analysis Method for Enclosed Isolated Phase Busbar of Hydropower Station
Authors: Fu Jianwen , Yang Bo , Qian Feng , Wang Shuaishuai , Wang Xiaomei , Feng Antao , Cai Feihong , Zhang Hailong
Published: March 2024

In this paper, geometrical modelling and finite element multi-physical field analysis method are carried out for the actual layout of the enclosed isolated phase busbar (EIPB) of a hydropower station, for the horizontal and vertical connection parts that can hardly be considered in the analytical calculation process. The finite element model is able to accurately represent the main structure of the EIPB by reasonably simplifying some of the components. Meanwhile, the finite element model incorporates the coupling of magnetic field and transient structural field, allowing for analysis of the magnetic field distribution, stress-strain distribution, modal analysis, and harmonic response of each component of the EIPB. It is capable of analyzing the vibration response of the complex horizontal-vertical structure EIPB under different excitations. This method can overcome the limitations of analytical calculation methods in calculating complex structure EIPBs. It can also provide valuable guidance for the structural optimization design of future EIPBs.
Design of Fault Diagnosis Method Based on Circuit Frequency Domain Characteristics Fault Dictionary Method
Authors: Pang Teng , Mao Weiwei , Liu Hongliang , Li Yuan , Hou Chao
Published: March 2024

In recent years, with the rapid development of integrated circuits and the widespread application of smart chips, the internal structure of complex electronic systems have become increasingly complex, which greatly increases the difficulty of board-level circuit testing and fault diagnosis of complex electronic systems. At present, traditional manual testing methods are no longer able to meet the maintenance requirements of modern complex electronic system board-level circuit. Therefore, the development of intelligent and universal automatic testing systems has become an important issue in fault detection of complex electronic systems. Based on the testing requirements of the automatic test system(ATS), this paper designs the corresponding overall scheme, software scheme and hardware circuit, and studies the fault diagnosis and test of board-level circuit of complex electronic system, and proposes to apply the traditional Bode diagram to the engineering practice of ATS. Fault detection is realized by utilizing the frequency domain characteristics of the object under test.
Gas Insulated Metal Enclosed Transmission Line (GIL) Seismic Response Analysis
Authors: Li Haoran , Zhou Jin , Wang Zemin , Li Bojing , Ma Yuan
Published: March 2024

The seismic response analysis of a 550 kV gas-insulated metal-enclosed transmission line (GIL) is carried out to address the seismic performance issues in the design of the GIL. Firstly, the GIL is modeled in three dimensions, and the pre-stressed modal analysis is conducted to obtain the vibration characteristics of the GIL structure. Secondly, the seismic response spectrum analysis is conducted according to the national standard, and the seismic characteristics are obtained to meet the requirement of resisting an earthquake of magnitude 9, but there are problems of relatively large stress distribution and small safety coefficient of the brace. Finally, it is proposed to change the cross-section of the bracket to strengthen the stiffness of the bracket to improve the seismic performance of the GIL equipment, and simulations are carried out to verify the results, which show that increasing the cross-section of the bracket can improve the seismic performance of the equipment.
Design and Verification of Cascaded Multilevel STATCOM Active Filter Function
Authors: Yang Shuangmian , Zhao Jing , Sheng Junyi , Rong Yi , Cao Junzheng
Published: March 2024

STATCOM can be used as both dynamic reactive power compensation device and active power filter to improve the power quality of a power grid. This paper describes the active filter function implemented into an existing STATCOM control. The paper explains firstly the filtering control system of the STATCOM, starting from the introduction of active power filter principle, harmonic current detection and tracking control. After that, the parameter design, open-loop characterization and simulation verification of the proposed filtering control scheme are carried out. The PSCAD simulation results show that the active filtering control scheme proposed in this paper can effectively reduce the harmonic content in the system and has good stability.
Design and Simulation of Reliability Test System of a Charging Generator
Authors: Lv Fei , Dai Chunming , Wang Mian
Published: March 2024

The DC voltage pulsation factor of twelve-phase rectification is much smaller than that of three- and six-phase rectification. Twelve-phase rectifier charging generators are often used where a high quality DC power supply is required. The probability of failure of charging generator is gradually increasing due to its complex structure and function. The reliability test of charging generator can provide a scientific basis for the operation condition, maintenance and determination of the repair cycle of this type of motor. The article combines the basic theory of reliability test, analyses the charging generator constant stress accelerated reliability test scheme, designs the energy feedback test drag system with the generator output as the power source of DC motor, and carries out the dynamic performance simulation and analysis of the reliability test system based on PSCAD/EMTDC. The simulation results show that the energy feedback reliability test system has fast response and good stability.
Short-term Load Forecasting Based on CEEMDAN-LSTM-AdaBoost
Authors: Xi Lingling , Gong Dandan
Published: March 2024

High precision load forecasting is of great significance for effectively allocating resources in energy systems and improving energy utilization efficiency. In order to improve the accuracy of load forecasting, this paper proposes a new load forecasting model based on the adaptive noise complete ensemble empirical mode decomposition (CEEMDAN)-long short-term memory neural network (LSTM)-adaptive boosting algorithm (AdaBoost). Firstly, CEEMDAN is used to decompose the original load sequence to obtain a series of eigenmode components, which can reduce the impact caused by the non-stationary nature of data. Then, these eigenmode components are input into LSTM for prediction, and an integrated learning model by AdaBoost is introduced. A strong predictor is constructed through several weak predictors to increase the prediction accuracy. Finally, the prediction result of each component is superimposed and reconstructed to obtain the final prediction result. Compared with other models, the two evaluation indicators of the proposed prediction model have decreased by 35.52% and 76.61% respectively, indicating the good prediction accuracy and generalization performance of the proposed method.
Researches on Operation Optimization of Charging Device Participating in Demand Response of Power Grid
Authors: Chen Yuchun , Liu Yuhang , Zhang Yunkai , Zhang Ran , Wang Chao , Xu Shaozhe
Published: March 2024

The application of electric vehicles has been an important mean to solve crisis of oil supplies and environment protection pressure. The number of charging devices has increased rapidly due to the orientation of policy and market in recent years. As a result, the load peak-to-valley difference will be aggravated and the electricity cost of residents will be increased. The purpose of the paper is researching the path to achieve the demand response with orderly charging of electric vehicles when a large number of electric vehicles are connected to the grid. Firstly, technological development trends of electric vehicles are analyzed. Secondly, a scheme that can uniformly manage and regulate load resources is designed by considering the charging needs of users in a comprehensive way. The core devices such as energy controller and energy router are applied in the scheme. Thirdly, a series of experiments are conducted in a residential district with 660 households and 24 charging piles in Beijing. Finally, the results indicate that the load peak-trough difference of the residential district has reduced by 58% if all of users choose to participate in demand response based on the control strategy of orderly charging.
Research on Surface Protection Technology of Aluminum Alloy Heat Sinks in Lithium Battery with Composite Anodic Oxide Film
Authors: Fei Qiang , Jiang Bingchun , Jin Biao , Yang Xing , Mao Zesen
Published: March 2024

Aluminum alloy sheets are immersed in a mixed acid electrolyte for anodic oxidation to prepare different types of anodic oxide films. The mass concentration of TiO2 nanoparticles in the electrolyte is appropriately increased, and under the action of liquid flow disturbance, the number of nanoparticles adsorbed on the surface of aluminum alloy specimens increases, which plays a good role in homogenizing current and filling, promoting more uniform film formation and inhibiting local excessive corrosion and dissolution of the anodic oxide film, Gradually generate a composite anodized film with good density. The composite anodized film constructs a protective barrier on the surface of the aluminum alloy heat sink in lithium batteries, which can effectively block corrosive media and has a better protective effect on the heat sink than conventional anodized film and mixed acid anodized film, thereby significantly improving the corrosion resistance of the heat sink.
Calculation of Mixed Oil Volume for Sequential Transportation of Crude Oil Pipelines with Variable Temperature and Low Reynolds Number
Authors: Xiong Xiaoqin , Xing Xiaokai , Li Hongfu , Xue Runbin , Li Yuanyuan , Liu Tian
Published: March 2024

In order to meet the differentiated demand of oil refiners for crude oil, improve the operating load ratio of long-distance pipelines, and reduce one-time investment, sequential transportation process has been widely used in long-distance crude oil pipelines in China. There are many studies on the calculation method of the mixed oil quantity of sequential transportation of refined oil, but due to its complex influencing factors, there is no general calculation model accepted by everyone. For the sequential transportation of crude oil pipelines, most of them have the characteristics of variable temperature and low Reynolds number, and it is more difficult to accurately calculate the mixed oil quantity than the refined oil pipeline. Through the analysis of the characteristics of oil mixing and hydraulic characteristics of sequential oil transportation, combined with the operation example of an oil pipeline in China, the calculation results of the diffusion theory formula, the Austin-Palfrey empirical formula and the equivalent pipeline length formula were compared and analyzed. The results show that the “equivalent pipeline length method” considers the influence of flow, pipe diameter and conveying distance on oil mixing, and takes into account the oil mixture caused by the change of initial oil mix and Reynolds number, which is more suitable for calculating the mixed oil quantity of sequential transportation of crude oil pipelines. However, for the sequential transportation of crude oil pipelines with low Reynolds number and variable temperature, the amount of oil mixed will be increased. According to the comparative analysis of actual cases, the correction coefficient is increased by 1.5 times on the basis of theoretical calculation, and the calculated value is in good agreement with the actual value, and the deviation is within 5%. It can be used as a reference for the design and operation management of variable temperature and low Reynolds number crude oil sequential transportation pipeline.
Effect of Thermal and Electric Fields on Thermal Stability and Dielectric Properties of SiO2/Cellulose Composite Materials
Authors: Liu Daosheng , Cui Chele
Published: March 2024

Molecular simulation techniques are widely used to study transformer insulation material characteristics and nano-modification mechanism. However, there are numerous researches on the thermal stability and dielectric properties of nano-modified cellulose insulation paper, and few studies have combined nano-modification with the process of electrical-thermal aging. This study established SiO2/Cellulose models with different weight percentages to calculate their average number of hydrogen bonds (AHB), glass transition temperature (Tg
) and relative permittivity (RP) under electro-thermal coupling. The study indicates that the 5wt% SiO2/Cellulose model exhibits the best modification effect. Temperature is the primary factor causing aging of the cellulose insulation paper, and the introduction of an electric field accelerates the thermal aging of the cellulose insulation paper. Increasing hydrogen bond quantity and restricting molecular chain movement are key factors that enhance insulation materials anti-aging performance.
Optimization on Microbial Anti-Scaling and Corrosion Inhibition Technology for Low Alkalinity and Low Hardness Circulating Cooling Water in Thermal Power Plants
Authors: Liu Ning , Wang Liangshi , Liu Xingyu , Lv Ying , Zhu Xuezhe , Tang Chuiyun
Published: March 2024

This paper analyzed the potential effectiveness of microbial anti-scaling and corrosion inhibition technology for low alkalinity and low hardness circulating cooling water in thermal power plants and used response surface models to study the effects and optimal conditions of key technical parameters. The results showed that when the nutrient solution dosage, bacterial agent dosage and aeration rate were set at 0.1-0.3 ‰, 0.1-0.5 ‰, and 1-3 L/min, respectively, the calcium hardness, corrosion rate of brass and stainless steel 304 in the water could be controlled within 9.77-15.30 mmol/L, 0.77-6.58 μm/a, and 1.20-4.50 μm/a, respectively. The variance analysis results indicated that the response surface linear model was the most suitable for evaluating the effects of key operation parameters on the application efficiency of the technology. The obtained model furtherly revealed that the nutrient solution dosage and bacterial agent dosage were extremely significant explanatory variable factors affecting the application of microbial technology in inhibition and corrosion control (P < 0.01). Still, the aeration rate did not reach a significant effect (P > 0.05). Based on the regression equation of actual factors, the study further revealed through the hill climbing algorithm that the optimal comprehensive effect of microbial technology in inhibition and corrosion control was achieved when the nutrient solution dosage, bacterial agent dosage, and aeration rate were set at 0.3‰, 0.5‰, and 1 L/min, respectively.
Estimation Method of Charged Particle Concentration in Aircraft Engine Exhaust Based on Electric Field Detection
Authors: Lv Jianxun , Liu Xinyu , Yuan Haiwen , Liu Chengxin
Published: March 2024

Aircraft engines, serving as the power core of aircraft, also constitute a significant source of potential malfunctions. The charge level of exhaust particles from aircraft engines serves as a crucial indicator of engine malfunction severity. This paper introduces a method for estimating the charge of exhaust particles based on electric field detection to monitor charged particles in the exhaust of aircraft engines. Initially, a mathematical model for estimating the charge of exhaust particles based on Gauss’s theorem is presented. Subsequently, an exhaust electric field induction device is designed, and the distribution of electric field sensors is studied, providing an overall design for the exhaust particle charge measurement system. Finally, the proposed method for estimating the charge of exhaust particles is analyzed through finite element simulation. The results indicate that the introduced aircraft engine exhaust particle charge estimation method based on electric field detection exhibits high accuracy and effectiveness. It offers a novel means for monitoring engine operation faults in aviation, with the potential for application in engine ground testing to further investigate engine state characterization technologies based on exhaust particle monitoring.
Experimental Study on Torsional Friction of Stringing Blocks on Conductor in Tension Stringing Construction
Authors: Qin Jian , Qiao Liang , Qi Zhiqiang , Zhang Xuekai , Wang Shunling
Published: March 2024

An experimental study was conducted to analyze the torsional friction effect of stringing blocks on the conductor during tension stringing construction. By analyzing the torsional friction force of stringing blocks on the conductor, the torsional friction experimental device of the stringing blocks on the conductor was designed. The torsional friction torque of the JL/G1A-630/45-45/7 Aluminum Conductor Steel Reinforced (ACSR) under the different tensions and wrap angles passing through the stringing blocks was measured, and then the friction coefficient was obtained. The experimental results show that the torsional friction coefficient of the stringing blocks to the conductor μ decreases with the increase of the tension of the conductor and the wrap angle passing through the stringing blocks. The relationship between the coefficient of friction and the wrap angle and tension of the conductor passing through the stringing blocks is obtained by fitting, and the formula for calculating the torsional frictional torque is obtained.
Preparation of celecoxib loaded bioactive glass chitosan composite hydrogels: a simple approach for therapeutic delivery of NSAIDs
Authors: Jalal Azra , Ahmad Sana , Shah Asma Tufail , Hussain Tousif , Nawaz Hafiz Awais , Imran Saleha
Published: March 2024

Arthritis causes inflammatory damage to joints and connective tissues. In the treatment of arthritis, precise and controlled drug delivery to the target site is among the frontline research approaches. In the present research work, celecoxib drug and bioactive glass incorporated chitosan hydrogels were fabricated by the freeze gelation method. Fourier transform infrared spectroscopy, scanning electron microscopy, and thermogravimetric analysis/differential scanning calorimetry techniques were used to characterize the hydrogels. Different kinetic models were applied to study the drug release kinetics. The celecoxib release was mainly controlled by a Fickian diffusion process followed by the Higuchi model. Maximum 86.2% drug entrapment was observed in 20 mg drug-loaded hydrogel and its swelling ratio was 115.5% in 28 d. Good hydrophilicity, good drug entrapment efficiency, and moderate drug release patterns of hydrogels can make them suitable for sustained drug release. The cytocompatibility of hydrogels was established by performing an MTT assay on the BHK-21 fibroblast cell line. The promising results have proved that hydrogels can be considered potential material for the slow release of anti-inflammatory drug at the target site in arthritis.
Demand-side climate change mitigation: where do we stand and where do we go?
Authors: Creutzig Felix , Roy Joyashree , Minx Jan
Published: March 2024

It is now well established that the demand side can contribute substantially to climate change mitigation thus increasing the solution space. The recent IPCC synthesis report for the first time explicitly reflected this class of solutions. Here, we provide an overview of an unique set of 22 review papers published in the focus issue of Environmental Research Letters. We also extract a key set of insights, ranging from the varied but rapidly evolving literature to demand-side mitigation potential, relevance for well-being, and consistent categorization of options across end-use sectors. We find that demand-side approaches to climate change mitigation supplement exclusively technology-focused supply side solutions and, in many cases, comprise system-wide effect contributing to well-being and planetary stability. Review studies cover macro-economics, well-being, and sustainable development goals on the metric side, and investigate consumption-based individual options, urban strategies, transport, building, and food sector potentials, but also the role of the circular economy, material efficiency, and digitalization. Demand-side measures can be categorized into avoid, shift, and improve approaches. Several additional reviews systematically investigate psychological and social approaches and initiatives to foster climate change mitigation. We finally outline important gaps and questions to be tackled in the coming years.
ReHoGCNES-MDA: prediction of miRNA-disease associations using homogenous graph convolutional networks based on regular graph with random edge sampler
Authors: Zhang Yufang , Chu Yanyi , Lin Shenggeng , Xiong Yi , Wei Dong-Qing
Published: March 2024

Numerous investigations increasingly indicate the significance of microRNA (miRNA) in human diseases. Hence, unearthing associations between miRNA and diseases can contribute to precise diagnosis and efficacious remediation of medical conditions. The detection of miRNA-disease linkages via computational techniques utilizing biological information has emerged as a cost-effective and highly efficient approach. Here, we introduced a computational framework named ReHoGCNES, designed for prospective miRNA-disease association prediction (ReHoGCNES-MDA). This method constructs homogenous graph convolutional network with regular graph structure (ReHoGCN) encompassing disease similarity network, miRNA similarity network and known MDA network and then was tested on four experimental tasks. A random edge sampler strategy was utilized to expedite processes and diminish training complexity. Experimental results demonstrate that the proposed ReHoGCNES-MDA method outperforms both homogenous graph convolutional network and heterogeneous graph convolutional network with non-regular graph structure in all four tasks, which implicitly reveals steadily degree distribution of a graph does play an important role in enhancement of model performance. Besides, ReHoGCNES-MDA is superior to several machine learning algorithms and state-of-the-art methods on the MDA prediction. Furthermore, three case studies were conducted to further demonstrate the predictive ability of ReHoGCNES. Consequently, 93.3% (breast neoplasms), 90% (prostate neoplasms) and 93.3% (prostate neoplasms) of the top 30 forecasted miRNAs were validated by public databases. Hence, ReHoGCNES-MDA might serve as a dependable and beneficial model for predicting possible MDAs.
ChatGPT and medical writing in dermatology: why should we keep writing?
Authors: Potestio Luca , Megna Matteo , Cacciapuoti Sara , Martora Fabrizio , Villani Alessia
Published: March 2024

The incorporation of artificial intelligence into routine dermatological clinical procedures is experiencing a significant upward trend. In the dermatological field, ChatGPT may change medical writing by powering certain tasks and improving the efficiency of the writing process.
Quantitative digital image assessment of skin of colour representation in a medical school dermatology course
Authors: Nayudu Krithika , Hazen T J , Patil Mihir K , Milosavljevic Sofia , Braun Natalie , Nambudiri Vinod E
Published: March 2024

This article utilizes a novel objective method to analyse the representation of various skin tones in a medical school dermatology course. By employing quantitative methods, the research aims to improve representation of skin of colour in medical curricula and highlight the importance of inclusive education for better patient care.