bluuebunny/crossref_metadata_2025_split huggingface dataset:
Improvement of Dynamic Reactive Power Characteristics of New-type Condenser by Excitation Parameters
Authors: Wu Meng , Wang Tong , Li Pengli , Wang Yingming , Cai Yupeng , Zhou Jiaxu , Huang Wei 
Published: June 2022

Abstract
The new-type condenser has the capability of dynamic reactive power compensation under subtransient, transient and steady-state, which could effectively solve the problem of insufficient dynamic reactive power reserve under the background of large-scale development of UHVDC transmission. In this paper, the excitation system parameters of the condenser are taken as the research object. First, the basic principle of new-type condenser and the excitation system model are introduced. Then, an effective gain of reactive current is defined as the quantitative index of the dynamic reactive power characteristics of the new-type condenser, and the effect of excitation system parameters on the dynamic reactive power characteristics of new-type condenser is studied by frequency domain trajectory sensitivity analysis. Finally, the simulation model of the condenser grid connected system is built based on PSCAD/EMTDC, the steady-state reactive power output level and transient response characteristics of new-type condenser with different excitation parameters are studied, and the optimization direction of the condenser excitation system parameters is determined. The simulation results show that reducing k
A, k
p, k
D, T
m and increasing k
I
T
D, T
Z are beneficial to improve the steady-state reactive power output of the condenser. Decreasing k
A, k
p, k
D and increasing k
I, T
D, T
m, T
Z are beneficial to improve the transient response characteristics of the condenser.
A Metal Character Enhancement Method based on Conditional Generative Adversarial Networks
Authors: Huang Yubo , Xiang Zhong 
Published: June 2022

Abstract
In order to improve the accuracy and stability of metal stamping character (MSC) automatic recognition technology, a metal stamping character enhancement algorithm based on conditional Generative Adversarial Networks (cGAN) is proposed. We identify character regions manually through region labeling and Unsharpen Mask (USM) sharpening algorithm, and make the cGAN learn the most effective loss function in the adversarial training process to guide the generated model and distinguish character features and interference features, so as to achieve contrast enhancement between character and non-character regions. Qualitative and quantitative analyses show that the generated results have satisfactory image quality, and that the maximum character recognition rate of the recognition network ASTER is improved by 11.03%.
Image Principal Distance Calibration Method by Binocular Camera Based on Improved Differential Evolution Algorithm
Authors: Kuang Xiangning , Qiu Faju , Xu Shengyong , Chou Jiajie , Ding Gaoyao 
Published: June 2022

Abstract
The traditional camera calibration method usually relies on the calibration plate, mainly uses the exhaustive method, and converts the spatial coordinates into image plane coordinates by solving the resection of the equation. The accuracy and calculation rate of traditional algorithms can no longer fully meet the needs of engineering applications. In view of this situation, this paper proposes an improved differential evolution algorithm (IDE) method for binocular camera calibration. The differential evolution algorithm (DE) is an algorithm that simulates the biological evolution process and uses the survival of the fittest to gradually screen individuals to find the optimal solution. The standard DE algorithm needs to perform population initialization, mutation operation and crossover operation, and finally screen individuals through greedy algorithm. In the mutation operation of the DE algorithm, the coefficient of variation F plays a crucial role in the result but it is difficult to obtain a value. Therefore, it is necessary to optimize the operator of the coefficient of variation F, so that the coefficient of variation F also reaches the optimal solution, which is the IDE algorithm. In this paper, the traditional calculation method, the standard DE algorithm and the IDE algorithm are used to calibrate the principal distance of the two images, and the accuracy and iteration rate are compared. The experimental results show that the IDE algorithm has obvious advantages in terms of accuracy, especially the calculation speed.
Soybean Variety Identification Based on Improved ResNet18 Hyperspectral Image
Authors: Liu Hongyu , Qu Fuheng , Yang Yong , Li Wanting , Hao Zhonglin 
Published: June 2022

Abstract
Aiming at the problems of insufficient feature extraction, slow speed and low accuracy of traditional machine learning methods, a soybean variety identification method based on improved ResNet18 hyperspectral image was proposed. This method extracts more effective detail features by decomposing the large convolution kernel, and changes the connection of residual structure and introduces the BN layer optimization network to make the feature extraction more sufficient. The perception of soybean hyperspectral image recognition is enhanced by adding multi-scale feature extraction module. The experimental results show that the recognition accuracy of this method reaches 97.36 %, which is higher than Nasnet large and Resnet18 models, and the robustness of the model is further enhanced, which can provide reference for soybean variety recognition.
Small target detection based on point cloud feature learning
Authors: Guo Baicheng , Miao Li , Zhou Shilin 
Published: June 2022

Abstract
Small target detection is an important means of target detection, the photoelectric detector of which mainly uses infrared and visible light band. In many issues, the targets imaging in optical detector can be seen as small targets. Taking the time domain of the single frame detection result of small target motion as the third-dimensional information input, the small target detection can be transformed into the problem of point cloud target detection. The purpose of this paper is to implement a small target detection neural network based on point cloud feature learning.
Numerical simulation and Experimental Verification of Heat Treatment of ISO-CC8X Rivet Nut
Authors: Niu Fangjing , Zhong Shaohua , Yu Le 
Published: June 2022

Abstract
In this paper, the method of finite element analysis is used to study and Simufact.forming software is used to simulate the cold forming process and heat treatment process of ISO-CC8X riveting nut. The changes of equivalent stress of the riveting nut after cold forming process and heat treatment process are obtained. Then, residual stress detection and metallographic experiments were carried out to verify the reliability of the numerical simulation. This method is of guiding significance to the design and optimization of heat treatment process of metal parts in practical production.
Investigation into the Evolution of Unsteady Flow of Lubricating Oil System in Guide Bearing of a Pump Turbine Unit
Authors: Zhang Zheng , Meng Fancong , Zhao Feng , Zheng Kai , Yang Bin , Cheng Yongguang , Zhou Daqing 
Published: June 2022

Abstract
The water-guide bearing lubricating oil system of pumped storage unit is prone to oil dumping and oil spillage during the start-up of the unit, which seriously threatens the safe and stable operation of the unit. In this study, a three-dimensional unsteady numerical simulation is performed to investigate the causes of oil dumping and oil spillage of a water-guide bearing lubricating oil system of a pumped storage power plant unit based on the VOF (volume of fluid) multiphase flow model and Realizable k-ε model. The unsteady flow characteristics inside the rotating oil basin and pump-type Pitot tube during the start-up process are analyzed. The results demonstrate that the change of the external characteristics of the lubricating oil system can be divided into two stages, the initial formation process of the lubricating oil flow and the stable circulation process of the lubricating oil flow. In the initial formation process, the pressure inside the rotating basin is uniformly distributed in the circumferential direction, and a high-pressure zone is generated near the inlet of the pump-type Pitot tube, driving the lubricant flow to the stationary basin above; in the stable flow cycle process, the internal lubricant flow velocity gradually decreases along the radius direction, and a large vortex zone appears behind the pump-type Pitot tube and at the inlet of it. This phenomenon leads to the lubricating oil pressure here to be lower than the saturation vaporization pressure, which may trigger lubricating oil atomization and then overflow from the seal ring. This study is committed to provide theoretical analysis and engineering reference for the investigation of the causes of oil dumping and oil spillage in the lube oil system of water guide bearings of pumped storage units.
Structural analysis of solid rocket motor with effects of viscoelastic Poisson's ratio
Authors: Wang Junqi , Bao Futing , Cui Huiru 
Published: June 2022

Abstract
The new measured viscoelastic Poisson's ratio (VPR) is introduced to investigate the effect of its variation on structure integrity analysis of solid rocket motor. A developed relaxation constitutive model considering VPR is utilized to implement in the finite element code MSC.Marc. Cooling analysis and ignition pressure loading case are designed to analyze the effects along the inner surface of propellant grains. Results show that the little change of the VPR including equilibrium Poisson's ratio (ePR) and reference temperature will affect the output of simulation, and the same up variation of the VPR has relatively less effect on the analysis than the elastic one. Furthermore, the up variation of viscoelastic Poisson ratio will disturb the distribution of strain and stress along the inner surface of propellant grains seriously while the elastic one won’t.
Establishment of constitutive model based on Ogden strain energy storage function and its matching with the mechanical properties of polyurethane dielectrics
Authors: Lu Gang , Shuai Changgeng , Liu Yinsong , Cheng Xiaolin , Hu Xiaoyang , Yang Xue 
Published: June 2022

Abstract
In order to find the constitutive relationship of mechanical properties suitable for polyurethane dielectric elastomer, the constitutive model of dielectric elastomer based on Ogden strain energy storage function was established. Then taking polyether MDI polyurethane as the research object, the first-order, second-order and third-order Ogden constitutive models were fitted by the preparation and mechanical properties test of polyurethane dielectric elastomer with different soft and hard segment contents. It is found that the second-order Ogden constitutive model fits the stress-strain curve of polyurethane dielectric elastomer well, and the highest modified fitting coefficient is as high as 0.9996. At the same time, we found that the fitting effect of the third-order Ogden constitutive model is greatly affected by the soft segment content, and the fitting effect is good when the soft segment content is high, while the fitting effect of the first-order Ogden model is bad. In addition, there is no effect when the drawing rate and shape change. This is because the first-order Ogden model can be simplified into Neo Hooken model and Mooney Rivlin model, which are suitable for the mechanical behavior of small deformation range and have poor fitting for the nonlinear large deformation process of the system.
The newly installed IBIL (Ion Beam Induced Luminescence) set-up at CEDAD-University of Salento: design and first applications on perovskite
Authors: Quarta G. , Caricato A.P. , Provenzano C. , Marra M. , Albanese E. , Vasco G. , Martino M. , Maruccio L. , Calcagnile L. 
Published: June 2022

Abstract
We present the design and implementation of the new Ion Beam Induced Luminescence set-up recently installed and tested at the Centre of Applied Physics, Dating and Diagnostics of the University of Salento. The set-up allows the irradiation of samples at atmospheric pressure with MeV protons produced by a 3 MV Tandetron accelerator and extracted in air through a kapton membrane. Ion beam induced luminescence is collected by an optical fiber and analyzed by an imaging spectrometer. Simultaneously, characteristic X-Rays emitted by the sample are detected by a Silicon Drift Detector (SSD) detector. The system also allows combined photoluminescence measurements by using an excitation laser focused onto the samples.

First applications in the analysis of all-inorganic perovskites (CsPbBr3) deposited by PLD (Pulsed Laser Deposition) are presented.
Data requirements for operating model of harvest strategy for yellowfin tuna fisheries in North Maluku Waters
Authors: Pratiwi Siti Utami , Wiryawan Budy , Simbolon Domu 
Published: June 2022

Abstract
This Study focused on tuna handline fisheries in Morotai Island, North Maluku. Yellowfin tuna fisheries have great potential economic value. However, the high level of exploitation by small-scale fisheries in coastal waters is feared to disrupt the sustainability of tuna resources therefore, a better management approach is needed, known as a harvest strategy, based on the use of appropriate data and a strong operating model. Indonesia’s government initiated to development of the harvest strategies to manage tuna resources within Indonesia’s archipelagic waters (FMAs 713, 714, dan 715) as a priority action of the National Tuna Management Plan (NTMP). The implementation of the strategy requires adequate data and completeness of instruments. This research tried to identify the adequacy and availability of harvest strategy data and determine yellowfin resource status with LB-SPR. The case studies demonstrate the utility of scientific monitoring data to track trends in the abundance of adult fish without requiring complex stock assessment models through gap analysis. The adequate data harvest strategy was used to condition prototype operating models for testing preliminary harvest strategies through better OMs and MSE. The results showed that the adequacy of the HS data had a gap of 1.56 with an adjustable rate of 63% or not up to standard. The level of utilization of yellowfin tuna resources using the SPR method leads to overfishing.
Potential of nanoemulsion process and method using agro-industrial based materials in skincare formulations: A review
Authors: Ali G S , Hambali E , Fahma F 
Published: June 2022

Abstract
Nanoemulsion technology in the skincare production process plays an important role in improving product quality. Nanoemulsion has a small droplet size which increases the ability of the active compounds to penetrate the skin. Nanoemulsion forming components are similar to conventional methods but the dispersed particles and droplets are smaller in size with a diameter of 20-200 nm. Nanoemulsion has been widely applied to skincare products to increase stability and to improve quality. Agro-industrial based nanoemulsions have potential in the formulation of skincare products. A general description of the formulation, process and application of skincare products will be presented in the discussion. The method used consists of two parts, namely the high energy method which includes microfluidization, high pressure homogenization and ultrasonication, while the low energy method consists of phase inversion composition, phase transition temperature, solvent displacement and newly developed approaches such as D phase emulsification. The purpose of this literature study is to discuss the process and methods of skincare nanoemulsion formulations to increase stability, the potential of agro-industrial based material as a nanoemulsion and cover the potential for scale-up.
Influences of zinc chloride on fast pyrolysis of pinewood
Authors: Garrido R A , Reckamp J , Bastian P , Hammer N H , Coe C G , Satrio J A 
Published: June 2022

Abstract
Fast pyrolysis is a thermochemical process which converts biomass into intermediate bio-oil and biochar products, which can be further processed to produce end products. Bio-oil is an organic liquid containing myriads of organic chemicals derived from the decomposition of cellulose, hemicellulose, and lignin components in lignocellulosic biomass. There are chemicals in bio-oil which are highly valuable as specialty chemicals, such as furfural, levoglucosan and levoglucosenone. Unfortunately, the amounts of these chemicals are typically too small, which makes it uneconomical to extract them from bio-oil. This work is focused on fast pyrolysis of pinewood, a well-known softwood used in paper industry. In this work, it was demonstrated that bio-oil containing higher fractions of furfural and levoguclosenone can be produced by treating pinewood feedstock with zinc chloride prior to pyrolysis. The batch pyrolysis studies by using a micropyrolyzer, a batch tubular reactor, and a thermogravimetric analyzer showed that the amounts of zinc chloride impregnated to pinewood feedstock significantly affect the yields of bio-oil and biochar products and the composition of chemicals in bio-oil. Increasing the concentration of zinc chloride solution used for pretreating the feedstock resulted in higher yields of biochar containing higher amount of the salt. Optimum concentrations of furfural and the two sugars in bio-oil product seemed to be obtained from pyrolysis of pinewood that was pretreated with 5wt% zinc chloride solution. Pretreatment with higher salt concentration reduced the concentration of levoglucosan but did not affect the other two valuable chemicals.
Influence of B30 palm-based biodiesel blends upon degradation of elastomers
Authors: Maharani Dewi Solikhah , Wimada Andrias Rahman , Arisanti Anisa Galuh , Karuana Feri , Ghazidin Hafizh , Putra Hanafi Prida , Pratiwi Fatimah Tresna , Restituta Bina Barus 
Published: June 2022

Abstract
The use of biodiesel could affect the characteristic of elastomers. It may cause swelling degradation of strength and hardness of the elastomers. In this research, the influence of B30 palm-based biodiesel blends upon degradation of elastomers was investigated, especially elastomers used in the industrial gasket or seal materials, including ethylene propylene diene monomer (EPDM) and fluoroelastomer. The tests were carried out by immersing the elastomers in static B30 (30% biodiesel in diesel) at room temperature (27 – 30 oC) for 1007 h. The elastomeric strength was tested physically by measuring the swelling of mass and volume, hardness, and tensile strength at the 71, 167, 671, and 1007 h immersion time. The results show that fluoroelastomer has a more negligible degradation effect than ethylene propylene diene monomer (EPDM).
Garland chrysanthemum consumption ameliorates age-related hearing loss in C57BL/6 mouse; model system to explore hearing loss prevention foods in a short period
Authors: Oike Hideaki , Tomita Satoru , Koyano Hitoshi , Azami Kayo 
Published: June 2022

ABSTRACT
Garland chrysanthemum (Glebionis coronaria L.) is an antioxidant-rich leafy vegetable. We found that garland chrysanthemum consumption ameliorated age-related hearing loss (AHL) in C57BL/6J mice, an early onset model. We also found that AHL progression was significantly ameliorated by three of ten products. Metabolome analysis of the 10 products using nuclear magnetic resonance (NMR) spectroscopy indicated that phytosterols may be involved in the amelioration of AHL. However, the direct inhibitory effect of phytosterol mixture on mouse AHL progression was not identified. These results suggest that garland chrysanthemum consumption delays AHL development in mice and its efficiency varies depending on the source of the product. Our findings also suggest that phytosterol content in garland chrysanthemum functions as an evaluation marker for the efficiency. Furthermore, to accelerate the search for foods that prevent AHL, we have used these data to develop an automatic threshold determination method for auditory brainstem response using machine learning.
The continuing evolution of birth cohort studies: achievements and challenges
Authors: Lin Yuan , Jiang Yangqian , Du Jiangbo , Ma Hongxia , Shen Hongbing , Hu Zhibin 
Published: June 2022

Abstract
Well-designed birth cohorts are able to estimate prevalence/distribution of various health events/outcomes, and to link early-life origins with adult health and function. The past two decades have seen a surge in the establishment of new birth cohorts and their accompanying research. We discussed distinct designs of current birth cohort studies, reviewed their achievements, and highlighted insights obtained from birth cohort studies, as well as challenges we are facing. Birth cohort studies are providing increasing opportunities to identify determining factors for short- and long-term health, yielding substantial evidence to uncover biological mechanisms of diseases and phenotypes, and providing further insights for public health. Dynamic monitoring, accurate measurements, long-term follow-ups, and collaborative efforts are warranted in new birth cohorts to elucidate the nature of life course relationships in contemporary generation.
Effects of fish oil-containing nutrition supplementation in adult sepsis patients: a systematic review and meta-analysis
Authors: Wang Hongyu , Su Sen , Wang Chao , Hu Jianhong , Dan Wu , Peng Xi 
Published: June 2022

AbstractBackgroundSepsis is life-threatening organ dysfunction caused by a dysregulated host response to infection. Although fish oil has been used as an immunonutritional preparations for the treatment of sepsis patients, there is still controversy as to whether it is beneficial to them. We systematically reviewed published clinical trial data to evaluate the effectiveness of fish oil-containing nutrition supplementation in sepsis patients.MethodsA systematic search was undertaken in PubMed, Embase, Chinese Biomedicine Database, the Cochrane Library and the China Knowledge Resource Integrated Database to obtain clinical controlled trails. RCTs on nutrition therapy containing fish oil among adult sepsis patients were selected for analysis in comparison with routine therapy.ResultsTwenty-five published trials were included in the meta-analysis. Fish oil-containing nutrition supplementation reduced the mortality compared with the control group (relative risk (RR) 0.74, I2 = 0%). Fish oil also shortened the ICU stay (MD −3.57 days; 95% CI −4.54, −2.59; p&lt;0.00001; I2 = 76%), hospital stay (MD −9.92 days; 95% CI −15.37, −4.46; p = 0.0004; I2 = 91%) and the duration of mechanical ventilation support (MD −2.26; 95% CI −4.27, −0.26; p = 0.03; I2 = 83%). A subgroup analysis based on the route of administration revealed that parenteral administration of fish oil could reduce mortality in septic patients (RR =0.68, I2 = 0%), but no significant difference in mortality was observed in the fish oil group administered by enteral route (RR = 0.80, I2 = 0%). No statistically significant publication biases were detected for the above clinical endpoints (p&gt;0.05).ConclusionsParenteral nutrition containing fish oil could significantly decrease mortality in sepsis patients while enteral administration could not. Fish oil-containing nutrition supplementation.