Matching Degree Research Articles

Envelope Inversion with Source encoding for Ultrasound Computed Tomography

Abstract Ultrasound computed tomography (USCT) is a noninvasive and non-ionizing imaging technique for soft tissue and limb bones. Full waveform inversion (FWI) has received increased interest due to its high resolution. The difficulties in FWI are twofold: high computational burden and poor convergence. To address these issues, an envelope inversion with source coding (EI-SE) algorithm is proposed in this paper. The envelope-based objective function measures the matching degree between the predicted and measured envelopes. It can provide the low-frequency components of the signal that are not available to FWI. Therefore, the EI can provide an accurate solution even when the initial model is far from the ground truth and low-frequency data are missing. The simulations are conducted to demonstrate the validity of the proposed algorithm. The root mean squared error (RMSE) of the proposed algorithm is much smaller than that of conventional FWI. The results show that EI-SE is effective in avoiding cycle skipping.

Mechanism of interfacial thermal resistance variation in diamond/Cu/CNT tri-layer during thermal cycles

The multilayer materials in aerospace applications generally subject to thermal shock, which may significantly affect the interfacial thermal resistance (ITR) and cause serious overheating issues. Therefore, understanding the interfacial thermal transport under temperature shock is essential for effective thermal management in aerospace devices. In the present study, the variation in ITR within the diamond/Cu/carbon nanotube tri-layer after thermal cycles was investigated through non-equilibrium molecular dynamics (NEMD) simulations. We conducted four groups of investigations, exploring the impact of maximum cycle temperature, heating/cooling rates, number of cycles, and interfacial structure on ITR. The results demonstrate that while the matching degree of phonon density of states remains almost constant, the ITR varies significantly among all groups. The structural deformations and changes in lattice type can be observed in the Cu layer. Based on these findings, we proposed an “atomic distribution method” to elucidate the mechanism behind ITR variation, which was verified as applicable and precise. Additionally, the thermal rectification results demonstrate the significant effect of interfacial structure on the rectification coefficient, indicating that interfacial transport and lattice thermal conduction deserve more in-depth study in the future. This work provides a novel perspective on understanding thermal transport across the irregular and complex interfaces, which is significant for the thermal management in aerospace field.

Management on Transfer Pricing of Farmland Based on the Supply–Demand Mismatches for Multifunction: A Case Study from China

Realizing the multifunctional value of farmland is essential for regulating the pricing of farmland transfers and stabilizing the rural land market. However, in China, the mismatch between supply and demand leads to improper resource allocation, weakens the explicit value of farmland, and causes unreasonable transfer pricing mechanisms that threaten agricultural production and food security. This study develops an analytical framework to examine the relationship between farmland multifunction and transfer pricing from a supply–demand perspective. An evaluation index system is constructed, considering the physical, value, and material quantities. This study uses the matching index method and bivariate spatial autocorrelation to analyze the supply–demand match of farmland multifunction from 2014 to 2021 and its relationship with transfer prices. Additionally, management methods and strategies for dynamic zoning-based pricing under multifunctional matching trade-offs are proposed. The results show that: (1) There is significant heterogeneity in the supply and demand matching degree of different farmland functions in both space and time. The production and ecological functions of farmland are oversupplied, while the living functions are undersupplied. (2) Different spatial autocorrelation relationships exist between the degree of supply and demand matching of farmland functions and farmland transfer prices. Specifically, the supply and demand matching degrees of the production and living functions show a significant negative spatial correlation with farmland transfer prices. In contrast, the ecological function shows a significant positive spatial correlation with farmland transfer prices, which are continuously strengthening over time. (3) Based on the supply and demand matching situation of different farmland functions and the spatial autocorrelation of farmland transfer prices, nine types of regions are delineated for farmland functions. Among them, the surplus-coordinated development areas have the most cities, accounting for about 40%, with a wide distribution range. This study proposes zoning-based pricing instruments and management strategies. This research provides valuable insights for developing countries seeking to alleviate conflicts in multifunctional land use, enhance the sustainable protection of land resources, and improve land resource assessment frameworks.

Measuring ecological well-being based on the degree of ecosystem service supply and demand matching in Shenzhen, China

Measuring urban ecological well-being and achieving a comprehensive understanding of its spatial differentiation characteristics are important foundations for meeting the growing health needs of residents and improving the insufficient and unbalanced development of the urban ecological environment. However, the current framework for defining urban ecological well-being that considers the supply and demand of ecosystem services (ESs) is unclear. The key to enhancing urban ecological well-being lies in measuring the level and patterns of ecological well-being in urban spaces through the degree of ES supply–demand matching; therefore, the present study aims to construct a measurement framework for urban ecological well-being based on this matching. The developed framework was applied to assess ecological well-being in Shenzhen in 2015 and 2020. This study summarizes the spatial patterns and analyzes their temporal and spatial distributions and influencing factors, showing that: (1) the spatial distribution of the comprehensive supply and demand of ESs in Shenzhen both have strong spatial heterogeneity; (2) the area of four types of relatively low ecological well-being patterns in Shenzhen was greater than that of five types of relatively low ecological well-being patterns in 2020, and the proportions of the areas of low, relatively low, and relatively sufficient well-being were the largest; (3) the overall trend of ecological well-being change is one of decline. The area in which Shenzhen’s ecological well-being has declined is far greater than the area in which it has improved. The main reasons for this are the increase in the urban vitality index, an increase in the demand for ESs, and an increase in impermeable surfaces, which have led to a decrease in the supply capacity of the ecosystem in some areas.

The Impact of “Fintech + Financial Regulation” Matching Level on Financial Risk: Evidence from China

Preventing financial risk is an important topic that academic circles and the government have paid attention to for a long time. The development of fintech and the improvement of financial regulation will affect the level of financial risk. The relationship between the degree of matching between fintech and financial regulation and financial risk is explored, which is crucial for reducing financial risk. Panel data from 31 provinces in China from 2011 to 2020 is used to explore the impact of fintech and financial regulatory matching levels on financial risk. The study finds that the improved matching level between fintech and financial regulation helps reduce financial risk. The degree of matching between fintech and financial regulation affects financial risk through financial efficiency.

Designing a multi-level reverse logistics network for waste batteries of electric vehicles under uncertainty—A case study in the Yangtze River Delta Urban Agglomerations of China

As a breakthrough for alleviating the impact of the energy crisis and improving the environment, the electric vehicle (EV) industry is entering a period of rapid development. The growth of this industry is expected to lead to a dramatic increase in the quantity of end-of-life EV traction batteries in the future, posing significant challenges to environmental pollution and the sustainable development of the EV industry. This study addresses the cascade utilization and uncertainties of waste batteries, by incorporating the development weight of the match degree between urban commercial environments and facility development, proposes a fuzzy chance constrained programming model for the design of multi-level reverse logistics network (RLN) for retired EV batteries. The objective is to minimize network costs and carbon emissions, determining optimal facility locations and transportation distribution schemes. The mathematical model is validated through a real case study in the Yangtze River Delta Urban Agglomerations in China, and sensitivity analysis is conducted to explore the impact of various influencing factors on network design. The results indicate that the development weight significantly influence facility location decisions, while the quantity and quality of battery recycling have a substantial impact on the operational quantities of network facilities at different levels.

Band structure regulation for improving the photoinduced cathodic protection performance of TiO2/ZnxIn2S3+x heterojunctions

The degree of band matching is crucial for the photoelectric conversion performance of heterojunctions. In this work, TiO2/ZnxIn2S3+x (TO/ZIS-X, X=1, 2, 3, 4) heterostructures and their electrochemical and photoelectrochemical tests were studied. According to the energy band analysis of a series of TO/ZIS-X, it is found that I-type heterojunction can be formed between TO and ZIS-1, while Z-type heterojunction would be formed between TO and ZIS-2, ZIS-3 and ZIS-4. The photoinduced potential drop associated with current density of TO/ZIS-2 in 3.5 wt% NaCl are 505.82 mV and 18.61 μA·cm−2, respectively. This result is much higher than those of homogeneous TO and single-phase ZIS-X. The desirable photoelectrochemical cathodic protection performance of the photoelectrode is owing to the loading of ZnxIn2S3+x, which broadens the light absorption threshold and improves the electrochemical activity area. Besides, the construction of Z-type heterojunction retains the photogenerated electrons/holes with strong reduction/oxidation ability, which greatly promotes the photoelectrochemical cathodic protection capability on 316 L stainless steel.

Effects of energy input modes on energy efficiency and berry quality in continuous microwave drying

To elucidate the effects of energy input modes on energy efficiency and berry quality in continuous microwave drying, four energy input modes with variational working ways of magnetrons were investigated by using numerical simulation and bench experiments in a continuous microwave dryer. Energy efficiency was divided into absorption and conversion efficiency to study the change rule of drying process, and the retention rate of anthocyanins of berry’s representative nutrition ingredient was studied considering both of the temperature and its uniformity. Results indicate that the energy input modes affect the absorption efficiency by changing the distribution uniformity of electric field of material layer, and the conversion efficiency by altering the matching degree between the energy allocation and drying characteristics of berry, which are both determined by the ways of working magnetrons of different energy input modes. The conversion efficiency has a greater influence on the final energy efficiency, so the energy input mode should be paid attention to the provision of microwave energy by selecting proper way of working magnetrons according to the drying characteristics. The effect of temperature uniformity on anthocyanin degradation is more obvious with average temperature increasing gradually, where better uniformity of electric field strength should be provided to guarantee the quality of dried berry by adjusting the energy input mode. The research results provide significant insights to optimize the energy input mode of taking into account both the energy efficiency and dried quality of material.

Emission Rate Estimation of Industrial Air Pollutant Emissions Based on Mobile Observation

Mobile observation has been widely used in the monitoring of air pollution. However, studies on pollution sources and emission characteristics based on mobile navigational observation are rarely reported in the literature. A method for quantitative source analysis for industrial air pollutant emissions based on mobile observations is introduced in this paper. NOx pollution identified in mobile observations is used as an example of the development of the method. A dispersion modeling scheme that fine-tuned the meteorological parameters according to the actual meteorological conditions was adopted to minimize the impact of uncertainties in meteorological conditions on the accuracy of small-scale dispersion modeling. The matching degree between simulated and observed concentrations was effectively improved through this optimization search. In response to the efficiency requirements of source resolution for multiple sources, a random search algorithm was first used to generate candidate solution samples, and then the solution samples were evaluated and optimized. Meanwhile, the new index Smatch was established to evaluate the quality of candidate samples, considering both numerical error and spatial distribution error of concentration, in order to address the non-uniqueness of the solution in the multi-source problem. Then, the necessity of considering the spatial distribution error of concentration is analyzed with the case study. The average values of NOx emission rates for the two study cases were calculated as 69.8 g/s and 70.8 g/s. The Smatch scores were 0.92–0.97 and 0.92–0.99. The results were close to the online monitoring data, and this kind of pollutant emission monitoring based on the mobile observation experiment was initially considered feasible. Additional analysis and clarifications were provided in the discussion section on the impact of uncertainties in meteorological conditions, the establishment of a priori emission inventories, and the interpretation of inverse calculation results.

Research on Evaluation of City–Industry Integration in Industrial Parks

The original meaning of city–industry integration should be understood as the coordination, balance, reasonable layout, and mutual support between urban production functional areas and service functional areas, which both have urban populations as their core element. The evaluation of city–industry integration in industrial parks can be carried out from two aspects: land–industry integration and residence–industry integration. The secondary indexes of the former mainly include industrial land efficiency and service sector land efficiency, while the secondary indicators of the latter mainly include supporting rail transit and the matching degree between residence and environment. The output value, land use structure, enterprise profile, employment rates, investments, air quality, rail transit system and other data points regarding sample industrial parks were collected by means of geofencing as well as through the creation of an enterprise credit information database and development area yearbook. The Analytic Hierarchy Process (AHP) combined with expert scoring was used to determine the index weights and implement the evaluation of city–industry integration. This study found that city–industry integration in Beijing and the Chengdu Economic and Technological Development Zones is at the forefront of sample industrial parks, and the entropy weight evaluation method verified this evaluation result. The analysis of the benchmark development zone of city–industry integration shows that the Chengdu model and the Beijing model are worthy of reference for growing and mature industrial parks when promoting city–industry integration.

Exploration on Advanced Intelligent Algorithms of Artificial Intelligence for Verb Recognition in Machine Translation

This article aimed to address the problems of word order confusion, context dependency, and ambiguity in traditional machine translation (MT) methods for verb recognition. By applying advanced intelligent algorithms of artificial intelligence, verb recognition can be better processed and the quality and accuracy of MT can be improved. Based on Neural machine translation (NMT), basic attention mechanisms, historical attention information, dynamically obtain information related to the generated words, and constraint mechanisms were introduced to embed semantic information, represent polysemy, and annotate semantic roles of verbs. This article used the Workshop on MT (WMT), British National Corpus (BNC), Gutenberg, Reuters Corpus, and OpenSubtitles corpus, and enhanced the data in the corpora. The improved NMT model was compared with traditional NMT models, Rule-Based MT (RBMT), and Statistical MT (SMT). The experimental results showed that the average verb semantic matching degree of the improved NMT model in five corpora was 0.85, and the average Bilingual Evaluation Understudy (BLEU) score in five corpora was 0.90. The improved NMT model in this article can effectively improve the accuracy of verb recognition in MT, providing new methods for verb recognition in MT.

The Impact of Donor-Recipient Human Leukocyte Antigen Matching on Bronchiolitis Obliterans-Free Survival Among Lung Transplant Recipients With Connective Tissue Diseases.

The development of connective tissue disease-associated lung diseases (CTD-LD) occurs in association with specific human leukocyte antigens (HLA). For CTD-LD patients who require lung transplant, it is unknown whether utilization of donor organs expressing these same HLA impacts posttransplant outcomes. Using the Scientific Registry of Transplant Recipients, we assessed whether CTD-LD lung transplant recipients in the United States have worse bronchiolitis obliterans (BOS)-free survival based on the degree of donor HLA matching. This included overall degree of donor-recipient HLA matching, donor-recipient matching at DR loci, and recipient matching with specific donor HLA antigens associated with the development of pulmonary disease in their condition. Among 1413 patients with CTD-ILD, highly HLA-matched donor-recipients did not have worse adjusted survival (hazard ratio [HR]=0.93, 95% confidence interval [CI]=0.58-1.51, p=0.77). Recipients who were fully matched at HLA DR did not have worse survival (HR=0.82, 95% CI=0.56-1.19, p=0.29). Finally, among individual CTD-LD, including rheumatoid arthritis, systemic sclerosis, the idiopathic inflammatory myopathies, and systemic lupus erythematous, transplant with a donor expressing HLA antigens associated with lung manifestations in these conditions was not associated with worse BOS-free survival. Among transplant recipients with CTD-LD, HLA donor-recipient matching, including at the DR loci, does not result in worse BOS-free survival. Based on these findings, there is no reason to treat these as unacceptable antigens when considering donor offers for CTD-LD candidates.

Multi-Objective Reverse Design and Pattern Analysis of Solid Propellant Grains

Solid propellant grain reverse design aims to discover optimal grain geometries by shape optimization methods to match the desired solid motor performance curves. To maximize the performance matching degree and the propellant loading fraction simultaneously, this study develops a multi-objective evolutionary neural network for the grain reverse design, where the burning surface regression calculation is efficiently employed using the fast-sweeping method. Then, grain shape feature extraction and pattern analysis are achieved through image singular value decomposition and self-organizing mapping, respectively. Finally, the design case of a dual-thrust motor and a Mars ascent vehicle show that the method can well balance the performance-matching degree and propellant loading fraction. Moreover, without any training data set, it can generate dozens of grain shape patterns, highlighting their diversity and providing new ideas for solid rocket motor designers. Our method can offer a new pathway for the research field of solid rocket motor design.

Control of Earth system evolution on the formation and enrichment of marine ultra-deep petroleum in China

Taking the Paleozoic of the Sichuan and Tarim basins in China as example, the controlling effects of the Earth system evolution and multi-spherical interactions on the formation and enrichment of marine ultra-deep petroleum in China have been elaborated. By discussing the development of “source-reservoir-seal” controlled by the breakup and assembly of supercontinents and regional tectonic movements, and the mechanisms of petroleum generation and accumulation controlled by temperature-pressure system and fault conduit system, Both the South China and Tarim blocks passed through the intertropical convergence zone (ITCZ) of the low-latitude Hadley Cell twice during their drifts, and formed hydrocarbon source rocks with high quality. It is proposed that deep tectonic activities and surface climate evolution jointly controlled the types and stratigraphic positions of ultra-deep hydrocarbon source rocks, reservoirs, and seals in the Sichuan and Tarim basins, forming multiple petroleum systems in the Ediacaran–Cambrian, Cambrian–Ordovician, Cambrian–Permian and Permian–Triassic strata. The matching degree of source-reservoir-seal, the type of organic matter in source rocks, the deep thermal regime of basin, and the burial-uplift process across tectonic periods collectively control the entire process from the generation to the accumulation of oil and gas. Three types of oil and gas enrichment models are formed, including near-source accumulation in platform marginal zones, distant-source accumulation in high-energy beaches through faults, and three-dimensional accumulation in strike-slip fault zones, which ultimately result in the multi-layered natural gas enrichment in ultra-deep layers of the Sichuan Basin and co-enrichment of oil and gas in the ultra-deep layers of the Tarim Basin.

Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry

China has achieved the poverty reduction goal of the United Nations 2030 Agenda for Sustainable Development 10 years ahead of schedule, contributing significantly to global poverty reduction. Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and comparing poverty-elimination counties (PECs) based on their processes. This study proposes an innovative framework for analyzing PECs’ development paths from the perspective of population-land-industry (PLI). We quantify the PLI matching degree of PECs in China during the critical phase of the battle against poverty through a multivariate matching model, classify PECs via K-means clustering according to the consistency in PLI matching degree evolution, and summarize the typical development patterns of PECs. Results indicate that the PLI matching degree of PECs in China increased substantially from 2015 to 2020, particularly in eastern areas, while the western region, including the Qinghai-Xizang Plateau and southwestern Xinjiang, shows untapped potential for improvement. Five types of PECs are identified, with the majority (30.1%) showing sustained moderate PLI matching and a minority (9.6%) experiencing long-term PLI mismatch. Industry is the shortfall of various PECs, and effective strategies to facilitate all types of PECs include the development of emerging businesses and the expansion of secondary and tertiary industries. Additionally, enriching rural labor force and increasing farmland use efficiency are essential for optimal PLI matching and positive interaction, ultimately ensuring poverty elimination and sustainable development.

Micro Study on the Impact of the Digital Economy on Income from the Perspective of Labor Matching

As the digital economy continues to develop, the socio-economic structure and lifestyle have undergone significant changes, which have had a profound impact on the labor market. To explore the mechanism of the digital economys impact on income, this study builds a personal panel data model from a micro perspective and conducts an empirical analysis. The matching situation of individuals in terms of employment and income is assessed through the skill-job matching degree and skill-income matching degree. A bidirectional fixed-effects model is used for calculation and analysis, comprehensively considering individual characteristics, skill levels, job requirements, and other factors. This study examines the direct and indirect effects of the digital economy on income and explores its influencing mechanisms.

Scale inhibition mechanism of itaconic acid-sodium methacrylate sulfonate on calcite: Quantum chemical calculation and molecular dynamics simulation

In order to explore the scale inhibition mechanism of green scale inhibitor-itaconic acid-sodium methacrylate sulfonate (IA-SMAS) on calcium carbonate (CaCO3), the scale inhibition characteristics of IA-SMAS were studied by quantum chemical calculation and molecular dynamics simulation. The charge distribution, electrostatic potential distribution, geometric matching degree and frontier molecular orbital energy of IA-SMAS were analyzed by quantum chemical calculation. It was found that IA-SMAS molecules have the ability to bind to Ca2+ at the micro level, occupy the growth active sites of crystal during the growth of calcite crystal planes, and inhibit the normal growth of crystal. Based on the molecular dynamics simulation method, the effects of IA-SMAS concentration on the adsorption configuration, radial distribution function and interaction energy in the binding process of IA-SMAS with calcite crystal planes were analyzed. The results show that the area of calcite crystal planes covered by IA-SMAS molecules, the peak value of radial distribution function and the binding energy increase with the increase of IA-SMAS concentration. However, the relative concentration of water molecules near the calcite crystal planes decreases, and the trend of water molecules moves away from the crystal planes of calcite. It indicates that the high concentration of IA-SMAS molecules can occupy the position of water molecules, and enhance the scale inhibition efficiency. Therefore, the scale inhibition performance of IA-SAMS increases with the increase of its concentration in a certain range, and an appropriate increase in IA-SMAS concentration can effectively inhibit the growth of scale.

Construction of an Evaluation Indicator System for Civic and Political Applications in Professional Practice Courses Based on CIPP: Taking the VBSE Practical Training Course as an Example

This study takes the virtual business society environment (VBSE) practical training course as a case study and applies the theoretical framework of the context, input, process, product (CIPP) model to construct an evaluation indicator system for the application of civic and politics in professional practice courses. The context evaluation is measured from the support of the VBSE practical training course into course civic and politics, teachers’ cognition, and the integration of course objectives; the input evaluation is measured from the matching degree of teachers’ civic and political competence, and the matching degree of teaching resources; the process evaluation is measured from the degree of implementation of civic and politics teaching and the degree of students’ acceptance; and the product evaluation is measured from the degree of impact of civic and politics teaching.

Why do entrepreneurial firms switch lead venture capital? A double-sided matching perspective

This paper investigates the dynamics of a switch in the lead venture capital (VC) caused by a low degree of match between the entrepreneur and VC in the previous round of investing through theoretical and empirical analysis using a large sample from the Chinese venture capital market. The results show that the lower the degree of match is, the higher the likelihood that entrepreneurial firms will switch the lead VC. The rematching of firms and VCs is also a dynamic process of switching lead VCs in the venture capital market. Especially, in multiple rounds, for both subsamples of rising startup quality and rising VC quality, we find that the lower the matching degree in the previous round, the more likely a lead VC switch occurs. However, there is no significant difference in the effect of the matching degree in the previous round on the lead VC switch in the following round in both subsamples. We also show that a lead VC switch is more likely when startups are in the growth stage, mature stage, and high-tech industries. In addition, we confirm that a lead VC switch improves the success of startups. Specifically, whether the quality of a startup rises or falls, only lead VC switches at the early stage are conducive to the VC exits and the startup’s success. In the early stage, the lead VC switch is a great shot in the arm for the company’s success, whereas, in the later stage, the lead VC switch is only the icing on the cake.

ScHyper: reconstructing cell-cell communication through hypergraph neural networks.

Cell-cell communications is crucial for the regulation of cellular life and the establishment of cellular relationships. Most approaches of inferring intercellular communications from single-cell RNA sequencing (scRNA-seq) data lack a comprehensive global network view of multilayered communications. In this context, we propose scHyper, a new method that can infer intercellular communications from a global network perspective and identify the potential impact of all cells, ligand, and receptor expression on the communication score. scHyper designed a new way to represent tripartite relationships, by extracting a heterogeneous hypergraph that includes the source (ligand expression), the target (receptor expression), and the relevant ligand-receptor (L-R) pairs. scHyper is based on hypergraph representation learning, which measures the degree of match between the intrinsic attributes (static embeddings) of nodes and their observed behaviors (dynamic embeddings) in the context (hyperedges), quantifies the probability of forming hyperedges, and thus reconstructs the cell-cell communication score. Additionally, to effectively mine the key mechanisms of signal transmission, we collect a rich dataset of multisubunit complex L-R pairs and propose a nonparametric test to determine significant intercellular communications. Comparing with other tools indicates that scHyper exhibits superior performance and functionality. Experimental results on the human tumor microenvironment and immune cells demonstrate that scHyper offers reliable and unique capabilities for analyzing intercellular communication networks. Therefore, we introduced an effective strategy that can build high-order interaction patterns, surpassing the limitations of most methods that can only handle low-order interactions, thus more accurately interpreting the complexity of intercellular communications.