bluuebunny/crossref_metadata_2025 huggingface dataset:
The Impact of E-money on China's Money Supply
Authors: Qi Mingxuan
Published: June 2023

Electronic money alters the form of currency, reduces the demand for cash, alters the manner in which transactions are settled, and alters the quantity of reserves held by our commercial banks. Electronic money makes the relevant factors acting on the base money supply more complex, which will undoubtedly make it more difficult for the central bank to achieve control over the base money, thereby further weakening the central bank's ability to manipulate the money supply and affecting the effectiveness of the central bank's monetary policy target of the money supply. Therefore, a correct understanding of the impact of electronic money development on the base money supply is crucial for enhancing the effectiveness of monetary policy in China in light of the expanding scale of electronic money in China.
Realistic dilemmas and strategies to promote the transformation of SMEs driven by digital economy
Authors: Haohan Wu , Beinan Guo
Published: June 2023

Digital economy is the core element to drive the transformation of SMEs. From the three dimensions of technology-organization-environment, we analyze the dilemmas and obstacles of digital transformation of SMEs, which is conducive to the subsequent promotion of modernized and high-quality development of SMEs. The digital transformation of SMEs in China suffers from insufficient intention and motivation, lack of talents, insufficient capital, and backward technology. Further, this paper starts from the policy demands of enterprises, and proposes several promotion strategies in the process of promoting the digital transformation of SMEs, such as strengthening publicity and guidance, improving policy design, and cultivating talents, so as to provide reference for supporting and promoting the digital transformation of SMEs and consolidating the micro-foundation of digital economy development.
Mode and Logic of Token Transaction Supervision
Authors: Zhao Shunyu
Published: June 2023

This paper mainly studies the attitude and supervision mode of various countries towards digital tokens. The strength and methods of supervision in various countries are different. There are cross-border transaction tokens and other chaotic situations. It is difficult to supervise and protect the interests of investors, which is not conducive to the healthy development of financial economy in various countries. In addition, with the development of globalization, digital tokens are going to the world and need to circulate among countries. Therefore, a recognized regulatory principle is needed to ensure the healthy development of digital finance worldwide. With the goal of single independent law, with the help of "regulatory sandbox" and "white list", we explore regulatory principles.
Economic Evolution Game Study on the integration of informatization and intelligentization in manufacturing enterprises
Authors: Zeshuang Liu , Pei Wang
Published: June 2023

At present, the new generation of information technologies such as blockchain and artificial intelligence ,big data, cloud computing, are endogenous driving forces to promote the intelligent transformation and upgrading of China's manufacturing industry. "Made in China 2025" proposes to take intelligent manufacturing as the main direction of manufacturing development, and the integration of informatization and industrialization is gradually transformed into the integration of informatization and intelligence. In this paper, an evolutionary game model of the integration of manufacturing information unit and intelligent unit is constructed, and the influence and evolution process of the integration of information and intelligence are analyzed from the aspects of the level of intelligent transformation strategy, the maturity of knowledge engineering, the risk of the integration of information and intelligence, information technology resources and capabilities. Results show that the intelligent transformation strategy level, knowledge engineering maturity has a positive impact on informatization and intelligent integration, and intelligence information fusion of risk has a negative influence on informatization and intelligent integration, information technology resources and capabilities as the sum of the benefit of the other three different influence on informatization and intelligent integration, Based on this, some suggestions are put forward to promote the integration process of information and intelligence.
R company enterprise middle office assessment
Authors: Zhang Yingzi , Wang Pengfei , Zhang Wei , Wang Zonghui , Liu Xia
Published: June 2023

The construction of the enterprise middle office is an important starting point to help the digital transformation of companies. Since the start of construction in 2019, R Power Grid Company has continued to promote through three stages of concept design, construction landing and application empowerment, and has achieved initial results. With the continuous and in-depth advancement of the construction and application of enterprise middle office, various majors have put forward higher requirements and expectations for middle office support for cross-professional applications and empowering grassroots innovation, and require enterprise middle office to play a greater value role. In order to promote the practical effect and iterative construction of the middle platform, focus on improving the practical level of the middle platform, and promote the substantive transformation of the middle platform from "building well" to "using it well". The company should conduct a comprehensive investigation, analysis and diagnosis of the current situation of the middle platform, identify problems in the construction and operation of the middle platform, conduct in-depth analysis of the problems, study and formulate corrective measures, promote processing and use with evaluation, and give full play to the value of the middle platform to serve the construction of the new power system and the digital transformation of the company.
Study on The Cost Attribution Method of Power Grid Equipment Maintenance under Multi-dimensional Lean Management Model
Authors: Ling Yunpeng , Lv Qi , Gu Yu , Wang Yanqin , Nie Jing
Published: June 2023

The current conventional cost manage- ment model of power grid operation has the problem of single cost apportionment standard, which leads to the poor attribution accuracy. In this regard, the cost attribution method of grid equipment maintenance cost under multi-dimensional lean management mode is proposed. The whole life cycle cost of grid equipment operation is analyzed, and the total cost of grid equipment asset operation and maintenance is calculated, and finally, the operation cost method is used to construct the cost attribution model of maintenance cost. The analysis of the experimental results shows that when the proposed method is used to attribute the maintenance cost cost, the attribution error value of the method is low and has a more desirable cost attribution effect.
Salary Prediction Based on the Resumes of the Candidates
Authors: Chen Yanming , Li Xinlong
Published: June 2023

This paper aims to build a salary prediction model based on the resumes of candidates in a recruitment environment. Point-biserial correlation analysis and random forest feature importance ranking methods are employed for the paper to conduct feature selection after the dataset is cleaned and preprocessed. Then, OLS linear regression is adopted to analyze the features selected, and three different models, including random forest regression, decision tree, and ridge regression, are applied in prediction experiments, helping obtain results to be compared and analyzed based on RMSE and MAE. Finally, a stacking ensemble method can be used to integrate and fuse different models to build the final salary prediction model. This model definitely has practical reference significance for both candidates and recruiters.
Research on the Impact of a New Round of Tax Reduction and Fee Reduction Policies on the High Quality Development of Small and Medium-sized Enterprises
Authors: Liu Xiangyu , Chen Sijia , Liu Qihui
Published: June 2023

As a powerful measure to deepen the supply-side structural reform, tax reduction and fee reduction policies play an important role in promoting the high quality development of small and medium-sized enterprises(SMEs).This paper selects 582 SMEs listed on China's A-share market from 2018 to 2021 to measure their high quality development level and explore the policy effect of the new round of tax reduction and fee reduction policies implemented since 2018.The results show that the reduction and exemption of value-added tax(VAT) and social insurance premiums are conducive to improving the high quality development level of SMEs, and the impact of income tax reduction on the high quality development level of enterprises is not significant, and the income tax burden between enterprises is quite different. Therefore, this paper puts forward some policy suggestions to further implement of the tax and fee reduction policies, consolidate the achievements of the existing tax and fee reduction policy, improve the tax structure of enterprise VAT and social insurance premiums, implement differentiated income tax reduction and exemption policy, and guide the high quality development of SMEs.
Importance of the Mean Rate of Pressure Change of the Pulmonary Artery (dP/dt mean PA) in Patients with Pulmonary Arterial Hypertension
Authors: Sinanis Theodoros , Schmeißer Alexander
Published: June 2023

Background Pulmonary arterial hypertension (PAH) is a rare disease of cardiopulmonary circulation characterized by elevated pressure in the pulmonary artery. The right-heart catheter is the gold standard for diagnosis, but there is interest in identifying additional prognostic indicators. The aim of this study was to examine the importance of the rate of pressure change of the pulmonary artery (dP/dt mean PA) in patients with PAH.

Methods We retrospectively analyzed data from 142 patients with PAH (exclusively clinical group 1) and examined the statistical correlation of dP/dt mean PA with vascular, right ventricular, and clinical parameters. Data was collected mostly from the right heart catheterization and the transthoracal echocardiography at presentation.

Results dP/dt mean PA showed a significant correlation with systolic pressure of the pulmonary artery (n= 142, R
2 = 56%, p < 0.001), pulmonary vascular resistance (n = 142, R
2 = 51%, p < 0.001), the rate of pressure change in the right ventricle (n = 142, R
2 = 53%, p < 0.001), and the right ventricular fractional area change (n = 110, R
2 = 51%, p < 0.001). Receiver operating characteristic curve analysis showed that dP/dt mean PA had the highest prognostic value in predicting increase in the 6-minute walk test and decrease in the N-terminal-probrain natriuretic peptide after the initiation of PAH therapy, with an area under the curve of 0.73.

Conclusion Our findings suggest that dP/dt mean PA may be a useful prognostic indicator in the treatment of patients with PAH, and further research is warranted to validate this parameter.
Clinical Simulation in the Training of Obstetrics and Gynecology Resident from the Perspective of Medical Residency Programs
Authors: Vidotti Simone Pereira , Batista Nildo Alves
Published: June 2023

Objective This study analyzes the role of clinical simulation in internal medical residency programs (IMRP) in Obstetrics and Gynecology (OB/GYN), attributed by the supervisors, in the training of residents in the city of São Paulo (SP).

Methods Cross-sectional descriptive, qualitative, and exploratory approach. Semi-structured interviews were performed with ten supervisors of Medical Residency programs in Obstetrics and Gynecology. Interviews were analyzed by means of content analysis under the thematic modality, starting with the core the role of clinical simulation in Obstetrics and Gynecology Medical Residency Programs.

Results Supervisors view Clinical simulation as: a complementary tool for the teaching and learning process, a possibility of a safe teaching and learning environment, an opportunity to learn from mistakes, a support for professional practice committed to patient safety, a learning scenario for teamwork, a scenario for reflection on the work process in Obstetrics and Gynecology, a scenario for evaluative processes in the medical residency. Still according to supervisors, Clinical Simulation favors decision-making and encourages the resident participation in activities.

Conclusion Supervisors recognize Clinical Simulation as a powerful pedagogical tool in the learning process of resident doctors in Obstetrics and Gynecology Residency Programs.
Optimal solar cell sorting method for high module production reliability
Authors: Kim Yong-Jin , Kim Minseo , Cho Yunae , Lee Sang Hee , Kim Dohyung , Kang Min Gu , Song Hee-eun , Park Sungeun
Published: June 2023

In photovoltaic module manufacturing processes, it is essential to achieve high production reliability of modules based on the given cells with scattered characteristics. This study aims to investigate the optimal cell sorting method to minimize the deviation of module power via simulation analysis. We consider the given solar cells to have different electrical characteristics with Gaussian distributions and ideal interconnections. We examine the resultant power distributions of modules for various cell sorting methods based on multiple cell parameters such as maximum power current, maximum power voltage, and maximum power of the cells. Our simulation shows that the average power maximum of the modules in different sorting methods has a marginal difference, and the mismatch loss by different cell characteristics is not a key factor to reduce the module reliability, but the standard deviation of the maximum powers of modules can be largely reduced by one order of magnitude if the cells are sorted out based on the reference of the average power maximum of the participated cells. Our study will provide useful guidance for cost-efficient and reliable photovoltaic modules in the manufacturing process.
Spatial distribution of optical intensity of overgrown semi-polar (20-21) InGaN/GaN multiple quantum wells dominated by surface morphology
Authors: Zhang Yun , Nie Sheng , Gong Maogao , Liu Bin
Published: June 2023

Polarized optical emission has been widely reported in semi-polar emitters as a result of the separation of the topmost valance bands. Simultaneously, semi-polar emitters exhibit isotropy in the spatial distribution of optical intensity, which is attributed to the influence of the surface morphology and the configuration of the underlying templates for overgrowth. This paper reports that a peanut-like pattern of intensity distribution has been observed in the semi-polar (20-21) sample, where most of the emitted light is located in the [11-20] direction. Compared with the bottom air voids formed during overgrowth, it can be seen that surface morphology plays a dominant role in affecting the spatial distribution of the optical intensity of the overgrown semi-polar (20-21) sample. With different surface height deviations, the spatial pattern could be tuned from sideward emission to a rectangular-like pattern. These results will promote the development of polarized light sources with great potential in the application of near-eye displays.
Design and analysis of marine propeller with new blade sections
Authors: Zhu Wencai , Li Pinye , Ding Ruqi
Published: June 2023

The main purpose of this study is to propose a new method for designing two-dimensional blade sections. In this work, two marine propellers are investigated. The blade section of the newly designed propeller, as compared with that of the MAU5-80 propeller, has a certain angle of attack. Except for the ordinate of the two-dimensional blade section, other parameters of the modified propeller, such as the blade section thickness and the area ratio of the propeller, are the same as those of the MAU5-80 propeller. When designing the new propeller model, the two-dimensional blade section, which has the highest efficiency among all blade sections at the same radius, is used as the blade section of the modified propeller. The numerical result indicates that when the thrust loading coefficient is greater than 1, the propulsive efficiency of the modified propeller is comparable to that of the MAU5-80 propeller. However, when the thrust loading coefficient is less than 1, the propulsive efficiency of the modified propeller is significantly higher than that of the MAU5-80 propeller.
Mosses and lichens enhance atmospheric elemental mercury deposition in a subtropical montane forest†
Authors: Li Xin , Wang Xun , Zhang Hui , Lu Zhiyun
Published: June 2023

Environmental context Mosses and lichens are widely distributed in montane forests and their important role in global biogeochemical cycles has been increasingly recognised. This study of mercury accumulation and sources in mosses and lichens, using mercury isotopic data, provides evidence that they promote atmospheric mercury deposition in these forests, which is an important function that should be incorporated into current mercury mass balance budgets for forests. Rationale Mosses and lichens, which are widely distributed in montane forests, are often used to monitor the atmospheric mercury (Hg) depositions. In this study we hypothesised that atmospheric Hg uptake by mosses and lichens could greatly promote Hg depositions in montane forests. Methodology We comprehensively determined the Hg concentration and isotopic signatures of various species of mosses and lichens in a subtropical montane forest, to quantify the Hg accumulation, influencing factors and potential Hg depositions induced by mosses and lichens. Results Our results show that the higher Hg concentrations in mosses than in lichens are mainly due to their species-specific, morphological and physiological differences. Hg isotopic mixing model results display that uptake of atmospheric elemental Hg (Hg0) contributes 89.2 ± 22.8% of Hg in mosses and 88.4 ± 24.4% in lichens. The lichens growing on trees have a lower atmospheric Hg0 source contribution than on the ground (61.3 ± 42.5% versus 93.6 ± 10.0%) because of the elevated rainfall Hg uptake on trees. The Hg storage in live moss and lichen is 28.0 ± 16.5 and 0.9 ± 1.0 μg m−2, respectively. Given the 1–2-year lifespan of moss, the moss induced atmospheric Hg deposition is almost equivalent to litterfall Hg deposition which was previously used as a proxy for atmospheric Hg0 deposition in forests. Discussion Overall, we suggest mosses and lichens play an important role in atmospheric Hg depositions and recommend more research in montane forests.
Selective hydroxyl generation for efficient pollutant degradation by electronic structure modulation at Fe sites
Authors: Zhan Haiyin , Zhou Ruiren , Wang Pengfei , Zhou Qixing
Published: June 2023

Hydrogen peroxide (H
2
O
2
) is an important green oxidant in the field of sewage treatment, and how to improve its activation efficiency and generate free radicals with stronger oxidation performance is a key issue in current research. Herein, we synthesized a Cu-doped α-Fe
2
O
3
catalyst (7% Cu–Fe
2
O
3
) for activation of H
2
O
2
under visible light for degradation of organic pollutants. The introduction of a Cu dopant changed the d-band center of Fe closer to the Fermi level, which enhanced the adsorption and activation of the Fe site for H
2
O
2
, and the cleavage pathway of H
2
O
2
changed from heterolytic cleavage to homolytic cleavage, thereby improving the selectivity of •OH generation. In addition, Cu doping also promoted the light absorption ability of α-Fe
2
O
3
and the separation of hole–electron pairs, which enhanced its photocatalytic activities. Benefiting from the high selectivity of •OH, 7% Cu–Fe
2
O
3
exhibited efficient degradation activities against ciprofloxacin, the degradation rate was 3.6 times as much as that of α-Fe
2
O
3
, and it had good degradation efficiency for a variety of organic pollutants.
Translation norms and bilingual dictionaries
Authors: Kim Hyongrae
Published: June 2023

This article applies translational norm theory to bilingual lexicography, arguing that the bilingual lexicographer serves as a “norm authority,” and the bilingual dictionary functions as a “norm statement” that prescribes the scope of what is considered legitimate interlingual equivalence within a given society. To demonstrate how the content of a bilingual dictionary can be used to promote specific translation norms, the headwords, equivalents, directives, and examples found in the North Korean bilingual dictionary, Jo-Yeong Sajeon (JYS) [Korean–English Dictionary] (1987/1991), were analyzed as a case study. The Korean–English lexical pairings presented in the JYS are matched with exemplary Korean–English translations listed in two North Korean translation textbooks, Jo-Yeong Beonyeokbeop [Korean–English Translation Method] (Min 2012) and Yeong-Jo Beonyeokbeop [English–Korean Translation Method] (Min 2014), affirming that the translation norms featured in the JYS hold normative force over the decisions made by professional translators.
Real-time myocardial landmark tracking for MRI-guided cardiac radio-ablation using Gaussian Processes
Authors: Huttinga Niek R F , Akdag Osman , Fast Martin F , Verhoeff Joost J C , Mohamed Hoesein Firdaus A A , van den Berg Cornelis A T , Sbrizzi Alessandro , Mandija Stefano
Published: June 2023

Objective. The high speed of cardiorespiratory motion introduces a unique challenge for cardiac stereotactic radio-ablation (STAR) treatments with the MR-linac. Such treatments require tracking myocardial landmarks with a maximum latency of 100 ms, which includes the acquisition of the required data. The aim of this study is to present a new method that allows to track myocardial landmarks from few readouts of MRI data, thereby achieving a latency sufficient for STAR treatments. Approach. We present a tracking framework that requires only few readouts of k-space data as input, which can be acquired at least an order of magnitude faster than MR-images. Combined with the real-time tracking speed of a probabilistic machine learning framework called Gaussian Processes, this allows to track myocardial landmarks with a sufficiently low latency for cardiac STAR guidance, including both the acquisition of required data, and the tracking inference. Main results. The framework is demonstrated in 2D on a motion phantom, and in vivo on volunteers and a ventricular tachycardia (arrhythmia) patient. Moreover, the feasibility of an extension to 3D was demonstrated by in silico 3D experiments with a digital motion phantom. The framework was compared with template matching—a reference, image-based, method—and linear regression methods. Results indicate an order of magnitude lower total latency (<10 ms) for the proposed framework in comparison with alternative methods. The root-mean-square-distances and mean end-point-distance with the reference tracking method was less than 0.8 mm for all experiments, showing excellent (sub-voxel) agreement. Significance. The high accuracy in combination with a total latency of less than 10 ms—including data acquisition and processing—make the proposed method a suitable candidate for tracking during STAR treatments. Additionally, the probabilistic nature of the Gaussian Processes also gives access to real-time prediction uncertainties, which could prove useful for real-time quality assurance during treatments.
Fabrication of High Transmittance and High Mobility Transparent Conductive Oxide Films: Hydrogen-doped Indium Oxide
Authors: Yang Erqi , Hu Bin
Published: June 2023

Designing and fabricating high-performance transparent conductive oxides (TCOs) is an attractive area for optoelectronic devices that require both high transparency and electrical conductivity. In this study, we introduce a hydrogen doping of indium oxide (IHO) as a TCO material with enhanced transparency while maintaining high conductivity by optimizing the carrier mobility, carrier concentration, and thickness. The typical IHO with a thickness of 200 nm exhibits a relatively lower carrier concentration (~2.10*1020 cm−3), compared to the traditional TCO like indium tin oxide and results in a higher NIR transmission of over 55% at 2500 nm, while the high carrier mobility of 87 cm2 V−1 s−1 endows it a lower sheet resistance of 15 Ω/sq. Our research provides valuable insights into the TCO and can be a general strategy to enhance light utilization for energy-efficient optoelectronic devices. Our work provides valuable insights into how the properties of TCOs can be tuned by controlling their microstructure and doping. The results show that hydrogen doping is an effective strategy to achieve the desired optical and electrical characteristics for efficient utilization of light in optoelectronics.
Research on the Passivation Process of Iron Nanopowder as Catalyst for Ammonia Synthesis
Authors: Chen Naifeng , Xia Tian , Zhang Xiaoyong
Published: June 2023

This paper aims to study a passivation technology and process of iron nanopowder, and provides basic theory and experimental data for promoting the practical application of iron nanopowder as a high-efficiency catalyst in the production of ammonia. There are two specific objectives. The first one is to provide a nanometal powder passivation device to prevent the nano metal powder from being oxidized and deactivated. The second one is to provide a method for using the nano metal powder passivation device to passivate the nano metal powder. Meanwhile, the research on iron nano-powder passivation technology and process is also beneficial to the application of iron nano-materials in other fields. The metal nanopowder passivation equipment provided in this paper can control the passivation reaction speed by adjusting the ratio and flow rate of the passivation gas during the passivation process, and identify the occurrence and stop of the passivation reaction by detecting the composition of the passivation reactant. Overall, the technology has the advantages of easy operation, uniform powder passivation, adjustable reaction speed, high product purity, etc. Therefore, it is suitable for industrial production.
Optimization Methodologies for Reserve with Large-scale Renewables Integration
Authors: Hu Xin , Li Zeke , Lv Yan , Fan Haiwei , Li Li , Ding Linglong , Chen Xinyu
Published: June 2023

Renewable energy has unpredictable intermittency and variability, increasing the complexity of grid dispatch. Fuzziness theory is introduced under the uncertainty of large-scale intermittent power supply. Renewable power is characterized by fuzziness parameters. Meanwhile, the conventional deterministic unit commitment model is transformed into a chance-constraint unit commitment with fuzziness parameters. The explicit equivalence classes of chance constraints with triangular fuzziness parameters are presented to clarify chance constraints. Also, the effectiveness of the proposed model is validated in a standard IEEE test system.
Biochar Made into Efficient Electrodes for Capacitive Deionization
Authors: Wang Wenquan , Cheng Feng , Zhang Wanshi , Li Xiuwei
Published: June 2023

The scarcity of freshwater has attracted the attention of countries around the world. Capacitive deionization (CDI) is a burgeoning ElectroSorb Technology with low price and high efficiency. It is important for CDI to prepare electrodes with inexpensive and high adsorption capacity. The deionization efficiency depends on the properties of the CDI electrodes. In this paper, porous carbon materials derived from corncobs, cornstalks, and waste cigarette butts have been used as efficient electrodes for CDI desalination. Compared with cornstalks and waste cigarette butts, the results showed that corncobs activated at 800 °C (CBC-800) had the best properties. The specific surface area (SSA) and capacitance (Ccv) of the CBC-800 are 1201.9 m2/g and 141.4 F/g, respectively. And the adsorption capacity (SAC) is 19.2 mg/g. CBC-800 is a prospective biomass material for CDI technology.
Low-carbon conversion of crude oil to C2-C4 olefins by micro Py-GC/MS and a small-scale fluidized-bed reactor
Authors: Zhang Di , Wang Jiaoyang , Zong Peijie , Qiao Yingyun , Tian Yuanyu
Published: June 2023

Green utilization of crude oil has become an important way for energy transformation in the petrochemical industry. Crude oil to aimed low-carbon (C2-C4) olefins had been conducted by micro pyrolysis-gas chromatograph/mass spectrometer (Py-GC/MS) and a small-scale fluidized-bed reactor. Fe-modified Al2O3/USY catalysts were used in the catalytic pyrolysis of crude oil. The results showed that product distribution altered hugely after Fe incorporation. Suitable incorporation of Fe can promote the conversion of crude oil, while excessive Fe incorporation could reduce the yield of light olefins. Bifunctional 1%Fe/USY catalyst showed good catalytic dehydrogenation pyrolysis activity in light olefin production, which could guide the clean and low-carbon conversion of crude oil.
The Scaling Ellipsoid Method to Calculate Wellbore Separation Factors
Authors: Shao Guanghao , Shi Yucai , Chang Di , Zhang Wensheng , Zhang Zeqiang
Published: June 2023

The wellbore separation factor is the most common index to evaluate wellbore collision risk. However, all existing calculation methods of separation factor can only evaluate the separation degree of two error ellipses on some plane, and cannot directly evaluate the separation degree of two error ellipsoids in 3D space. These methods will lead to over-optimistic or over-conservative assessments inevitably, and cannot satisfy the wellbore collision avoidance requirements. Therefore, a new calculation method for the wellbore separation factor is presented, which is named as Scaling Ellipsoid Method (SEM). The new method references the Expansion Ellipse Method (EEM) and expands or contracts two error ellipsoids by the same scaling factor up to the exterior contact condition. Then the scaling factor is selected as the wellbore separation factor. SEM can directly and accurately evaluate the separation degree of two error ellipsoids in 3D space. A mathematical model to calculate the SEM separation factor (SESF) characterized by a quadratic equation set with four unknowns is established, and its numerical solution method and optimization tactics are presented to enhance its solution efficiency. Instance analyses have shown that SEM can preferably evaluate wellbore collision risk, contribute to pinpointing dangerous intervals, and decrease the anti-collision workloads.
Characterization of Shale Porosity and Permeability by Nuclear Magnetic Resonance
Authors: Sun Xin , Du Huanfu , Wang Chunwei , Du Shuyan , Liu Guihua
Published: June 2023

To rapidly evaluate and characterize the porosity and permeability of shale reservoirs, this study uses Nuclear Magnetic Resonance (NMR) technology to classify the T2 spectrums of different shale reservoirs, analyzes the correlation between the T2 cut-off values and the main peaks of the T2 spectrums of the shale reservoirs, and establishes a rapid identification and evaluation method for different fluid signals of the reservoirs. Also, the correlation between the area of signals and shale permeability in different signal intervals is explored, and finally, a rapid evaluation method of shale pore structure characteristics based on NMR technology is developed. This study can provide methodological guidance and theoretical support for the rapid characterization of the porosity and permeability of shale reservoirs based on NMR technology.
The influence of excitation coil size on the eddy electric field and on overcoming slurry noise in electromagnetic flowmeter
Authors: Li Bin , Zhao Wang-cheng , Chen Jie
Published: June 2023

When the electromagnetic flowmeter (EMF) measures the slurry flow, the sensor signal of EMF will be disturbed by the intense slurry noise. How to use the eddy electric field more effectively to overcome the slurry noise is a problem worthy of further investigation. In this paper, the influence of the size change of the excitation coil in the conventional sensor of EMF on the overcoming of slurry noise by the eddy electric field was researched. Firstly, the strength of the eddy electric field in different sizes of rectangles was discussed by using the rectangular excitation coil model. The result of the analysis was that the eddy electric field intensity increases with the increase in coil size. Finally, the effect of the size change of the excitation coil on the slurry flow signal was researched. The experimental results show that the effect of overcoming slurry noise becomes better as the size of the excitation coil increases.
Microscopic Measurements of Liquid Rim Formation and Breakup inside a 2D Slit Nozzle under Flash Boiling Conditions
Authors: Man Xingjian , Ye Nianye , Yao Yuan , Wang Shangning , Li Xuesong
Published: June 2023

Flash boiling atomization has been considered a potential technique to enhance state-of-the-art atomization performance. It is usually believed that the phase change during flash boiling atomization can improve the disintegration of the bulk liquid. Many investigations have indicated that flash boiling atomization acts on the secondary breakup of the liquid droplets via micro-explosion mechanisms. However, recent investigations indicated that vapor bubbles inside the nozzle could directly affect the primary atomization of the bulk liquid. Therefore, this investigation focuses on the phase change process inside the nozzle via high-speed microscopic measurements. A two-dimensional slit nozzle with an expansion chamber was used in two dimensions to approximate the nozzle and the near field. Rim structures were observed in the measurements, and the transition from vapor bubbles to liquid rims was presented and analyzed.
The Secondary Flow Mechanism of Square Ribs with Different Inclination Angles in a Rectangular Channel
Authors: Peng Wei , Chen Lihan , Zhang Yi , Wang Xiaoxia
Published: June 2023

It has been confirmed that secondary flow can improve heat transfer, but the current research only stays on experimental research and qualitative analysis. Starting from the mechanism of secondary flow, this paper uses FLUENT software to study the heat transfer characteristics of square ribs with different inclination angles in a rectangular channel and its relationship with the secondary flow. Reynolds number is Re=8, 000–20, 000, relative rib spacing is p/e=6, 9, 12, rib inclination angle varies between 30°−90°, and rib height e and rib width w remain unchanged. The results are as follows: the heat transfer effect is the best when the relative rib spacing (p/e) is 12, and the flow resistance is also the largest. The comprehensive heat transfer effect of the square rib with the rib inclination angle α=45° is the best, and the comprehensive heat transfer effect of the square rib with α=90° is the worst. Setting the ribs inside the channel can generate a significant secondary flow, and the contribution of the longitudinal secondary flow is greater than that of the transverse secondary flow. There is a linear relationship between the secondary flow intensity and Re.
Calibration of timing mismatch for TIADC based on error table and fractional delay filter
Authors: Shi Changfei , Xie Xuesong , Zhang Xiaoling , Yu Luyan
Published: June 2023

In this paper, we presents a correcting method based on an error table and fractional delay filter for correcting timing mismatch in a time-interleaved analog-to-digital converter (TIADC). This method uses the ramp signal to estimate timing mismatch and the error table storage error value. A Farrow structure fractional delay filter is utilized to implement the calibration of mismatch. Simulation results show that this method can realize the correction of timing mismatch and suppress the spurious component effectively with a good correction effect.
UAV Tunnel Formation Based on Bearing-only Passive Location Optimization Algorithm
Authors: Peng Pengming , Huang Gang
Published: June 2023

In the actual bearing-only passive UAV positioning system, both the controller and receiver are in non-standard positions. Three-point positioning cannot be carried out simply by a geometric algorithm. This study introduces positioning only by bearing-only information transmission without considering increasing the complexity of system sensors. When the circular formation and conical formation of UAVs are in abnormal positions to locate the unit and adjust it to the standard position, the error distance between the original position and its accurate position is taken as the target, and an iterative optimization model is established. The positions of other UAVs are revised according to the transmitter position information. Finally, the ideal error position information is obtained, which is regarded as the adjustment of the whole unit distance to the standard distance.
A Design of Single-phase LaZnAl11O19 Ceramics for Disposition of Nuclear Waste Using Spark Plasma Sintering
Authors: Sun Huilin , Li Xiaorui , He Cheng , Li Zheng , Zhang Hua
Published: June 2023

The magnetoplumbite-structured LaZnAl11O19 ceramic possessing remarkable mechanical properties and chemical stability was deemed a promising waste form for immobilizing high-level waste. Nevertheless, the tedious procedures and relatively long dwell time constrained the development of present forming approaches. As an alternative, the single-phase LaZnAl11O19 ceramics with high density were rapidly synthesized through flux assisted spark plasma sintering (SPS) method. Systematic investigations into the factors influencing the final phase such as sintering temperature, uniaxial pressure, and dwell time were presented. The XRD and SEM results revealed that a pure phase LaZnAl11O19 could be obtained at 1450 °C with 30 MPa pressure for 20 min doping H3BO3 of 12.5 wt% as flux. Based on the structure information provided by characterizations, the SPS method was proved to be an alternative with rapid densification to the conventional solid-state reaction.
Research on Limit of Hazardous Elements in Automotive Interior Parts Based on Acid Sweat Extraction
Authors: Hou Meng , Zhang Kaixuan , Wang Pan , Li Dong
Published: June 2023

The evaluation index system of hazardous substances in automobile products is constructed for hazardous substances, such as heavy metals in automobiles. That may cause harm to the health of passengers and the natural environment, based on the requirements of domestic and foreign environmental protection laws and regulations as well as the ways and principles of these elements’ harm to the human body. Focusing on 14 kinds of heavy metals and metalloid elements that may be introduced into automobile products, this paper establishes a multi-dimensional evaluation parameter of hazardous substances for environmental protection and health and form a scientific and reasonable indicator system. According to the actual content of hazardous substances in automobile products in China, it aims to guide automobile enterprises to carry out product ecological design, while providing consumers with green procurement indicator reference for car selection and purchase and promoting green production and consumption of automobile products.
Particle Inertial Focusing in Spiral Channel of Tapered Cross-Section
Authors: Zhu Hangjie , Du Ningyu , Liu Yao , Zhang Xinjie
Published: June 2023

Inertial microfluidic technology is widely used for microparticle manipulation (e.g., particle/cell separation and focusing). This paper proposes a novel spiral channel of the tapered cross-section to realize the high-efficiency separation of microbeads of different sizes. The spiral channel is bonded to a thin PDMS (Polydimethylsiloxane) membrane to create the tapered cross-section, and air pressure is applied to deform the membrane. The inertial focusing performance of the channel is investigated by using polystyrene fluorescent microbeads of different diameters. The experimental results show that 15 μm microbeads experience strong inertial lift force and migrate to the inner wall, while 6 μm microbeads are influenced by the dominating Dean vortex and move to the outer wall, resulting in successful separation of two microbeads. The unique advantage of the tapered channel is that the distance between the large and small microbeads can be regulated by the working pressure, and a big gap of ~ 305 μm is achieved under the working pressure of 30 kPa. We hold the opinion that the proposed microfluidic device will provide insights for high-efficiency cell separation and enrichment.
Three-Dimensional Fe-N-C-Supported Amorphous NiFe alloy Nanoparticles as an Efficient Bifunctional Electrocatalyst for Zn-Air Batteries
Authors: He Guiju , Ruan Man , Li Li , Wei zidong
Published: June 2023

The development of highly active and durable bifunctional oxygen reduction and evolution reaction (OER/ORR) electrocatalysts is vitally important for rechargeable metal-air batteries. However, little research has been done on the development of amorphous materials as bifunctional catalysts. Here, amorphous NiFe alloy nanoparticles (a-NiFe) coupled to transition metal nitrogen-doped carbon (Fe-N-C) substrate (a-NiFe@Fe-N-C) have been produced and ducted by a simple synthesis method. It is confirmed that the a-NiFe@Fe-N-C composite has significant amorphous characteristics according to XRD, HR-TEM, and SAED characterization methods, and the amorphous structure has abundant defects caused by the disordered arrangement of atoms, which is conducive to accommodate a large mass of active sites and promote the performance of catalysts. Additionally, the large specific surface area, the interconnected multistage pore structure, and the superior electrical conductivity of the Fe-N-C substrate, as well as the synergistic effect between bimetals Ni and Fe, make a-NiFe@Fe-N-C composite electrocatalyst present superior bifunctional catalytic activity and durability. Remarkably, compared with benchmark Pt/C + IrO2, the rechargeable liquid Zinc-air battery using a-NiFe@Fe-N-C as cathode exhibits a superior power density (170 mW·cm−2), specific capacity (687.65 mAh·gZn-1) and cycling durability (100 h).
Analysis of Dynamic Capacity Increase Transmission Line Carrying Capacity under Temperature and Electromagnetic Field
Authors: Yang Feng , Cui Rongye
Published: June 2023

This article mainly introduces that, as the proportion of renewable energy to total consumed energy increases further, with the large-scale development and construction of new energy, the local power grid may face the problem of conflicting consumption in the future, and the original transmission lines will no longer meet the power demand. For this reason, dynamic capacity increase technology is used to calculate the load capacity in real-time. Through simulation analysis under temperature and electromagnetic fields to ensure that the conductor has sufficient safety while increasing the load capacity, clear data results are obtained based on the analysis.
Research on an Abnormal Recognition Method of the UHV Reactor Based on the DAGMM
Authors: Zhang Hongwei , Jiang Hao , Lu Yanzhen , Huang Haoyang
Published: June 2023

The data of dissolved gas in oil is an important state parameter of the power reactor, and its content directly reflects the working state of the reactor. Fully considering the irregularity of the data distribution of dissolved gas in oil and the problem that the traditional algorithm model cannot effectively deal with high-dimensional data, this paper proposes an abnormal recognition method for UHV reactors based on the Deep Auto-encoding Gaussian Mixture Model (DAGMM). Based on historical detection data, the abnormal state of high-dimensional dissolved gas data in oil is realized using end-to-end training, combined with data dimensionality reduction capabilities of autoencoders and Gaussian mixture model clustering. It is verified with an example analysis that the proposed method can accurately identify the abnormal state of the UHV reactor.
Short-term PV Power Prediction Model Based on VMD-CNN-IBiLSTM
Authors: Tao Yufeng , Liu Linping , Jiang Shuting , Mao Shuangshuang , Ju Xiaoming
Published: June 2023

Because PV power’s generation is unpredictable, so timely and accurate prediction of PV power has great practical significance and research value for daily grid dispatch and power system security. The combined forecast model presented in our study is dependent on variational modal decomposition-convolutional neural network-improved bidirectional long short-term memory neural network (VMD-CNN-IBiLSTM) with PV power as the research object. The model uses VMD to decompose PV power sequences, thus reducing the non-smoothness of the sequences; CNN to extract the essential features of the information; BiLSTM with peephole connections to learn the forward and backward features of the temporal data; and genetic algorithm to enhance the model’s variables. For validation, actual data from the Australian DKASC testbed are used. According to the experimental findings, our study’s combined model is more precise than the classical BP neural network, SVM model, and LSTM model at making predictions.
Parallel Current-sharing Design of Mine Explosion-proof Lithium-ion Battery Power Supply
Authors: Li Qiwei
Published: June 2023

When the output of explosion-proof lithium power supply is used in parallel, there exists the problem of non-uniform current between power sources, so a digital current-sharing strategy and module are designed. The digital current-sharing module uses the current-sharing MCU unit as the current regulating component to monitor the front-stage current and post-stage voltage, current and their feedback values of the power supply power circuit in real time. At the same time, the current compensation values are exchanged through the real-time communication bus, and the current-sharing modules of each power supply balance the current by adjusting the output current. The experimental results show that the problem of parallel current sharing of explosion-proof lithium power supply is solved effectively.
Photovoltaic Power Prediction Based on GA-Elman Model
Authors: Su Xi , Wang Yulu
Published: June 2023

Aiming at the time-varying and fluctuating characteristics of photovoltaic power output, a GA-Elman model is proposed for the short-term prediction of photovoltaic active power. This model can use the historical value of photovoltaic active power and daily meteorological information to directly forecast the active power, which is convenient for the dispatching department of the power supply bureau to obtain photovoltaic output data in advance and enhance the reliability of power supply. Firstly, the input variables of the Elman model are determined by analyzing the factors that affect the active power. Then, the genetic algorithm is adopted to optimize the parameters of the Elman network and establish the GA-Elman prediction model. Finally, the usability of the proposed model is proved by an example simulation.
The effects of a passive Bi-Polar Grid (BPG) on Ion Back-Flow (IBF) and resolution
Authors: Zakharov V. , Shulga E. , Garg P. , Hemmick T. , Milov A.
Published: June 2023

Time Projection Chambers (TPC)s are excellent tracking detectors for high multiplicity
events and can intrinsically be high-rate, but are limited by the ions created in their avalanche
stage. GEMs and Micromegas can reduce IBF through their geometry and E͐-field ratios, but
these can lead to gain fluctuations and still leave IBF as the dominant source of space charge. An
active BPG can block all IBF ions, but their slow drift speed creates too much dead time. A
passive BPG will overcome this limitation by using an external B͐-field to allow the
electrons to pass through while still blocking all ions. Since the grid changes the electron's
trajectory, a loss of resolution will occur. The trajectory is shifted symmetrically along the
wires so the wire alignment with respect to the detection pads is a specific question not studied
before. We present completed IBF analysis from data collected at Weizmann Institute of Science
(WIS), along with an intro to our test on wire resolution.