Rational Allocation Of Resources Research Articles

Signal Detection Method Based on Social Relationship Strength in Vehicular Ad-hoc Networks

In the case of scarce communication resources, the importance of different vehicle communication levels is self-evident. They not only affect the efficiency of information exchange between vehicles and driving safety, but also directly affect the rational allocation and utilization of communication resources. Therefore, this paper proposes a signal detection method based on vehicle social relationship strength (SRS) in vehicular ad-hoc networks (VANETs) scenario, and integrates the SRS information into the data to be transmitted. In this method, minimum mean square error (MMSE) signal detection algorithm is selected for simulation, and Rayleigh channel and Rician channel are selected for simulation scenarios. This method makes full use of the intensity of social relationship between vehicles, and realizes the efficient transmission of data and the accurate transmission of communication level. Experimental verification shows that the method performs well in the VANETs scenario, and provides a new communication method for intelligent transportation, social network and other applications, which is expected to promote the technical progress and application development in related fields.

Assessing the impact of vaccination and medical resource allocation on infectious disease outbreak management: a case study of COVID-19 in Taiyuan City.

Amidst an emerging infectious disease outbreak, the rational allocation of vaccines and medical resources is crucial for controlling the epidemic's progression. Analysing COVID-19 data in Taiyuan City from December 2022 to January 2023, this study constructed a dynamics model to assess the impact of COVID-19 vaccination and resource allocation on epidemic trends. Vaccination significantly reduces infection rates, hospitalisations, and severe cases, while also curtailing strain on medical resources by reducing congestion periods. An early and sufficient reserve of medical resources can delay the onset of medical congestion, and with increased maximum capacity of medical resources, the congestion's end can be accelerated. Stronger resource allocation capabilities lead to earlier congestion resolution within a fixed total resource pool. Integrating vaccination and medical resource allocation can effectively reduce medical congestion duration and alleviate the epidemic's strain on medical resource capacity (CCMR).

Analysis of the Status and Rational Allocation of Water Resources in China in View of the New Era

This paper examines the current status of water resource management and conservation in China, along with strategies to address the water resource crisis. Given the current situation, the paper highlights issues such as incomplete legal mechanisms, limited environmental awareness among enterprises, and insufficient government investment. To address these challenges, the paper proposes a series of strategies, including improving the ecological environment, enhancing production techniques, strengthening management systems, rationalizing water resource allocation, and implementing water-saving measures in both industrial and agricultural production. These strategies serve to achieve sustainable water resource management, reduce water pollution, and effectively tackle the pressing water resource issues faced in China currently.

Optimal vaccination ages for emerging infectious diseases under limited vaccine supply.

Rational allocation of limited vaccine resources is one of the key issues in the prevention and control of emerging infectious diseases. An age-structured infectious disease model with limited vaccine resources is proposed to explore the optimal vaccination ages. The effective reproduction number [Formula: see text] of the epidemic disease is computed. It is shown that the reproduction number is the threshold value for eradicating disease in the sense that the disease-free steady state is globally stable if [Formula: see text] and there exists a unique endemic equilibrium if [Formula: see text]. The effective reproduction number is used as an objective to minimize the disease spread risk. Using the epidemic data from the early spread of Wuhan, China and demographic data of Wuhan, we figure out the strategies to distribute the vaccine to the age groups to achieve the optimal vaccination effects. These analyses are helpful to the design of vaccination schedules for emerging infectious diseases.

Research on the Influencing Factors of Farmers’ Choice of Medical Treatment in Health Stations under the Background of Rural Medical Insurance—Taking Guangdong Province as an Example

This paper examines the decision-making process of farmers when selecting medical treatments at health stations. The purpose is to establish a more rational and scientific rural medical insurance system and to adapt the system to the current external environment. This will enable the system to fully utilize its potential and benefit the rural medical insurance sector. Innovation. This paper adopts a combination of literature review, field investigation, descriptive research, and statistical analysis to examine the medical treatment choices made by farmers in Guangdong Province under the rural medical insurance system. The hardware and software facilities of village health stations have a significant impact on farmers’ choice of medical treatment. Among them, the number of doctors is significantly positively correlated, while the facility investment in health stations is significantly negatively correlated. From this, it can be seen that farmers are more concerned about whether they can access medical services in a timely manner, but they have a negative reaction to the high cost of medical expenses at health stations. This paper proposes a rational allocation of resources for medical and health stations through the reform of the rural medical insurance system. The aim is to improve the level of rural medical and social security.

Structural analysis of global mineral governance system from the perspective of country

The uneven spatial distribution of mineral resources necessitates the construction of mature global mineral governance system to ensure rational allocation of mineral resources. To this end, it is essential to analyze the structure of the global mineral governance system to provide a theoretical basis for the construction. The governance actor is the crucial element in driving the governance process, and country serves as the most central actor. Therefore, clarifying the roles and statuses of different countries in the governance system will be helpful to analyze the structure of the governance system. In the context of advancing globalization, a complex cooperative relationship has been presented between countries based on international organizations. Thus, we establish a national cooperation network based on the principle of the co-existence of countries in international organizations, to quantify these relationships between countries and identify the role and status of different countries, as well as the country communities in the cooperation network, by combining the characteristics of the countries in the network with the actual performance in the organizations. The research findings are as follow: (1) The UK, Germany, France, Sweden, and Canada play pivotal roles in promoting international cooperation as well as leading governance in the governance system. (2) Emerging economies are more actively engaged in these organizations and can promote international cooperation, but lack the capacity to assume leadership roles in governance. (3) The U.S. and China have a stronger ability to lead than to cooperate in the governance system. (4) Most African and South American countries, as well as some European nations, are marginalized in the governance system. (5) Countries with the same needs and similar economic and political conditions belong to the same community: The European countries and the U.S., consumer with a high level of economic and political development but low mineral resource endowment are in the first community. Canada, Australia, and certain African and South American countries, producers with high mineral resource endowments are in the second community. Most African and South American countries with lower levels of economic and political development are in the third group.

Spatiotemporal Evolution of Precipitation Heterogeneity Characteristics in the Heilongjiang Province from 1961 to 2020

Precipitation unevenness significantly influences the rational allocation of water resources and the management of agricultural irrigation. Based on precipitation data from 29 meteorological stations in Heilongjiang Province, China, from 1961 to 2020, this study calculated the precipitation concentration index (PCI), precipitation concentration degree (PCD), and precipitation concentration period (PCP) to analyze the spatial distribution characteristics of precipitation heterogeneity at three distinct timescales: year, maize growth period, and the four stages of the maize growth period. The findings reveal that the rainy season in Heilongjiang Province commences earlier in the southwest compared with the northeast and northwest, with a primary concentration in July. At the annual scale, PCI in southwestern Heilongjiang Province surpasses that in the southeastern region, displaying an approximate east–west gradient in PCD and PCP values ranging from 0.544 to 0.746 and 196 to 203, respectively. During the growth period scale, precipitation concentrates in the southwest and central regions, occurring earlier than in the northeast and northwest. In contrast to the annual scale, the PCI value is smaller, and precipitation predominantly concentrates in mid and late July. Examining the four stages of the maize growth period, PCD generally exhibits a decreasing gradient from west to east. The highest values of PCI and PCD manifest in the southwestern part of Heilongjiang Province, with precipitation concentrated in the middle of each growth stage. The research results serve as a valuable reference for policymakers and stakeholders involved in water resource allocation and agricultural water management in Heilongjiang Province.

STREM-1: A Biomarker of Mortality in Severe Malaria Impacted by Acute Kidney Injury.

Malaria is an important cause of mortality in African children. Identification of biomarkers to identify children at risk of mortality has the potential to improve outcomes. We evaluated 11 biomarkers of host response in 592 children with severe malaria. The primary outcome was biomarker performance for predicting mortality. Biomarkers were evaluated using receiver operating characteristic (ROC) curve analysis comparing the area under the ROC curve (AUROC). Mortality was 7.3% among children in the study with 72% of deaths occurring within 24 hours of admission. Among the candidate biomarkers, soluble triggering receptor expressed on myeloid cells 1 (sTREM-1) had the highest AUROC (0.78 [95% confidence interval, .70-.86]), outperforming several other biomarkers including C-reactive protein and procalcitonin. sTREM-1 was the top-performing biomarker across prespecified subgroups (malaria definition, site, sex, nutritional status, age). Using established cutoffs, we evaluated mortality across sTREM-1 risk zones. Among children with acute kidney injury, 39.9% of children with a critical-risk sTREM-1 result had an indication for dialysis. When evaluated relative to a disease severity score, sTREM-1 improved mortality prediction (difference in AUROC, P = .016). sTREM-1 is a promising biomarker to guide rational allocation of clinical resources and should be integrated into clinical decision support algorithms, particularly when acute kidney injury is suspected.

Land-Use Optimization Based on Ecological Security Pattern—A Case Study of Baicheng, Northeast China

In the current context of global urbanization and climate change, balancing ecological protection and economic development is a particular challenge in the optimal allocation of regional land use. Here, we propose a research framework for the optimal allocation of land use that considers the regional ecological security pattern (ESP) and allocates space for land-use activities to areas with low ecological risk. Taking Baicheng, China as our study area, ecological sources were first identified by integrating their ecological importance and landscape connectivity, and ecological corridors and functional zones were extracted using the minimum cumulative resistance difference and circuit theory. The ecological source areas were then taken as limiting factors, and four future scenarios were established for 2030 using the parcel-level land-use simulator (PLUS) model. The ecological corridors and functional zones served as areas having restricted ecological conditions, and the four future scenarios were coupled into the corresponding functional zones to optimize the land-use structure in 2030. The results indicate that under the coupled ESP–PLUS scenario, the spatial distribution and structure of land use in Baicheng balance the needs of ecological source area protection and economic development, resulting in greater sustainability. By 2030, the cultivated land area will steadily increase, but attention will also be given to the protection of ecological land (e.g., woodland and marshland), aligning with current policy planning demands. An analysis of the landscape indices for each future scenario found all scenarios to be effective in reducing negative changes in landscape patterns. These findings provide a novel perspective for the rational allocation of future land resources and the optimization of land-use structures.

MULTI-LEVEL CITY PORTRAIT RESEARCH BASED ON MULTI-SOURCE DATA

Abstract. City portrait is a social impression generated by the interaction between the public and the city, which can help us better understand and perceive the nature and characteristics of the city, and thus provide strong support for the development and governance of the city. However, most existing studies extract thematic semantic labels globally, but ignore the order of the tags and the degree of their contribution in the topic, which affects the city portrait extraction results. In addition, existing studies also lack the analysis of the impact of grid areas as the study scale on city portraits. In this paper, we propose a new approach to accurately identify city labels based on multi-source data grid fusion using a topic feature word extraction model (Weight-LdaVecNet) with fused topic word embedding and network structure analysis with feature word weight constraints. On this basis, we construct a multi-level city portrait description framework using hierarchical cluster analysis, extract tag clusters, and obtain a similarity matrix by combining topic feature tags and region feature tags using similarity analysis to construct a multi-level city region portrait, with a view to achieving a fine-grained construction of a multi-level city portrait. The experimental results show that, compared with the traditional LDA model, our method indicates that the identified city labels with similar thematic semantics have strong aggregation, thus proving the effectiveness of our proposed method. In addition, in the overall multi-level city portrait, we find that Beijing has a strong attractiveness in terms of cultural features. However, the regional distribution of cultural characteristics dimensions is not uniform in the multilevel city-region portrait, and better rational allocation and planning of cultural resources are needed to better meet people's needs.

Modeling the effects of land use/land cover changes on river runoff using SWAT models: A case study of the Danjiang River source area, China

Land use/land cover (LULC) is a crucial factor that directly influences the hydrology and water resources of a watershed. In order to assess the impacts of LULC changes on river runoff in the Danjiang River source area, we analyzed the characteristics of LULC data for three time periods (2000, 2010, and 2020). The LULC changes during these periods were quantified, and three Soil and Water Assessment Tool (SWAT) models were established and combined with eight LULC scenarios to quantitatively analyze the effects of LULC changes on river runoff. The results revealed a decrease in the cropland area and an increase in the forest, grassland, and urban land areas from 2000 to 2020. Grassland, forest, and cropland collectively accounted for over 94% of the total area, and conversions among these land types were frequent. The SWAT models constructed based on the LULC data demonstrated good calibration and validation results. Based on the LULC data in three periods, the area of each LULC type changed slightly, so the simulation results were not significantly different. In the subsequent LULC scenarios, we found that the expansion of cropland, grassland, and urban areas was associated with increased river runoff, while an increase in forest area led to a decrease in river runoff. Among the various LULC types, urban land exerted the greatest influence on changes in river runoff. This study establishes three SWAT models and combines multiple LULC scenarios, which is novel and innovative. It can provide scientific basis for the rational allocation of water resources and the optimization of LULC structure in the Danjiang River source area.

Evaluation of the water conservation function in the Ili River Delta of Central Asia based on the InVEST model

The Ili River Delta (IRD) is an ecological security barrier for the Lake Balkhash and an important water conservation area in Central Asia. In this study, we selected the IRD as a typical research area, and simulated the water yield and water conservation from 1975 to 2020 using the water yield module of the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model. We further analyzed the temporal and spatial variations in the water yield and water conservation in the IRD from 1975 to 2020, and investigated the main driving factors (precipitation, potential evapotranspiration, land use/land cover change, and inflow from the Ili River) of the water conservation variation based on the linear regression, piecewise linear regression, and Pearson’s correlation coefficient analyses. The results indicated that from 1975 to 2020, the water yield and water conservation in the IRD showed a decreasing trend, and the spatial distribution pattern was “high in the east and low in the west”; overall, the water conservation of all land use types decreased slightly. The water conservation volume of grassland was the most reduced, although the area of grassland increased owing to the increased inflow from the Ili River. At the same time, the increased inflow has led to the expansion of wetland areas, the improvement of vegetation growth, and the increase of regional evapotranspiration, thus resulting in an overall reduction in the water conservation. The water conservation depth and precipitation had similar spatial distribution patterns; the change in climate factors was the main reason for the decline in the water conservation function in the delta. The reservoir in the upper reaches of the IRD regulated runoff into the Lake Balkhash, promoted vegetation restoration, and had a positive effect on the water conservation; however, this positive effect cannot offset the negative effect of enhanced evapotranspiration. These results provide a reference for the rational allocation of water resources and ecosystem protection in the IRD.

Simulation Study on the Policy of Coordinated Development of Agriculture and Agricultural Product Logistics in Sichuan Province

This paper utilises the system dynamics theory to develop a simulation model of the agricultural and agricultural product logistics system in Sichuan Province. The coordinated development policy of the agricultural and agricultural product logistics in Sichuan Province is analysed through simulation by adjusting the proportions of investment in the logistics industry, logistics information technology, and agricultural financial input. The study suggests that enhancing investments in logistics industry and logistics information technology leads to an accelerated development in the agricultural product logistics sector, ultimately promoting coordination between the agricultural economy and agricultural product logistics. Moreover, lowering agricultural financial input can lead to more rational allocation and utilization of resources, hence further advancing the coordinated growth of agriculture and agricultural product logistics.

Demand forecasting of cold-chain logistics of aquatic products in China under the background of the Covid-19 post-epidemic era.

In the background of the post-epidemic era, the consumption demand and market scale of cold chain logistics in China are expanding, but there is still an obvious gap with developed countries. To complete the balance between the supply and demand for aquatic products and the rational allocation of logistics resources and promote the rapid development trend of aquatic product cold chain logistics, it is particularly important to forecast and analyze the demand for aquatic product cold chain logistics. This article selects six main factors that affect the demand for aquatic products in cold chain logistics, uses the traditional grey model and the grey-BP neural network model to simulate and predict the demand for aquatic products in cold chain logistics in China from 2012 to 2021, and compares and analyzes the simulation results. Generally speaking, the demand for aquatic products from Chinese residents is on the rise. In the simulation prediction process, the prediction error of the grey-BP neural network is reduced compared to the traditional grey model, and the processing ability of the nonlinear system is ideal. The results show that the grey-BP neural network model is an effective method to predict the demand for cold chain logistics of aquatic products. Finally, suggestions are made on the future development of aquatic cold chain logistics in the post-epidemic era from the economic, social, and environmental aspects, which provide valuable decision-making reference for the development of marine aquaculture enterprises and cold chain logistics industry.

Spatiotemporal evolution of landscape ecological risk in Anhui section of the Huaihe River ecological and economic belt in China

Regional landscape ecological risk (LER) assessment is of great significance for coordinating the relationship between land use and ecological environment, and for promoting the rational allocation of resources, and it is the basis and guarantee for achieving sustainable development. By assessing the landscape ecological risk of the Huaihe River ecological and economic zone, it can promote the development of ecological risk assessment theory, provide a scientific basis for the formulation of ecological civilization construction planning and policies, and help to strengthen environmental monitoring, planning and management, and promote the construction of ecological civilization. Based on the remote sensing image data of land use from 1985 to 2020, the spatiotemporal evolution characteristics of land use and LER in the Anhui section of the Huaihe River Ecological and Economic Belt in China were explored. The results showed that: (1) The construction land showed an increasing trend, with an increased area of 4753.35 km2, whereas the cultivated land showed a negative growth trend, with a reduced area of 4487.58 km2. (2) During the past 35 years, the ecological risks in the research area showed a decreasing trend as a whole, with medium-low and medium-risk areas ranking as the main; medium-high and high-risk areas are mainly distributed on both sides of the Huaihe River and in the northern-central part of Suzhou City. (3) Moran’s I values of LER in each period were showing significant spatial autocorrelation and tending to converge spatially. In the future, the ecological security pattern should be optimized for local high-risk deterioration areas.

Experimental investigation on triaxial mechanical properties of coral coarse aggregate-sea sand seawater concrete

The application of coral coarse aggregate-sea sand seawater concrete (CSSC) in offshore engineering construction is one of the effective measures to realize the rational allocation of resources and alleviate the shortage of resources. In addition, considering that concrete structures in coastal areas may be under triaxial stress, it is necessary to study the triaxial mechanical properties of CSSC. To study the triaxial mechanical properties of CSSC, the effects of aggregate combination and lateral confining pressure on the failure mode, stress-strain curve, yield stress and yield strain of specimens were studied by conventional triaxial tests. The results show that CSSC is more susceptible to the influence of lateral confining pressure. Under the lateral confining pressure of 6 MPa, the crack form transformation and plastic flow appear on the surface of the specimen. Under the lateral confining pressure of 12 MPa, the stress-strain curve appears "stress platform", while the gravel coarse aggregate concrete shows the above changes under the lateral confining pressure of 15 MPa and 24 MPa, respectively. When the lateral confining pressure reaches 15 MPa, the stress-strain curve of CSSC presents a bilinear shape with a second linear branch. With the increase of confining pressure, the damage development rate gradually decreases, and the yield stress and yield strain gradually increase. Finally, the triaxial compression constitutive model of CSSC is established, which can effectively predict the bilinear behavior of the CSSC curve.

Study on the Optimization of Multi-Objective Water Resources Allocation in the Henan Yellow River Water Supply Zone

With the continuous growth in the global population, rapid socioeconomic development, and the impacts of factors like climate change, we are facing increasingly severe challenges regarding water scarcity. The scientific and rational allocation of water resources has become a key factor in ensuring sustainable development. The Henan Yellow River water supply zone occupies a crucial position in the socioeconomic development of Henan Province. Currently, there is a shortage of water resources with relatively low utilization rates. To alleviate the contradiction between water supply and demand, a study on the optimization of water resources (with p = 90%) for the years 2025 and 2030 was conducted. In this study, we constructed a multi-objective optimization model with the objectives of maximizing economic benefits, minimizing total water shortage, and maximizing water use efficiency. The second-generation non-dominated sorting genetic algorithm (NSGA-II) was utilized to solve this model. The results indicate that by 2025, the optimized allocation of water resources will correspond to 17.663 billion m3, reducing the average water shortage rate in the research area to 9.69%. By 2030, the optimized allocation of water resources will further increase to 18.363 billion m3, bringing down the average water shortage rate to 8.34%. Concurrently, the supply structure of the research area will significantly improve after optimization. This is manifested through an increase in the proportion of surface water supply and a substantial rise in the proportion of supply from other water sources, while the proportion of groundwater supply noticeably decreases. These research findings can serve as a reference for the rational utilization and distribution of water resources in the future and can also offer insights for optimizing water resource allocation in other regions.

Driving Mechanism of Comprehensive Land Consolidation on Urban–Rural Development Elements Integration

Identifying the driving mechanism of comprehensive land consolidation (CLC) on urban–rural development elements integration (URDEI) is of great significance for promoting the coordinated development of urban and rural areas. Based on the composition of urban and rural element systems, this study establishes the theoretical framework of the influence of CLC on URDEI and verifies the framework through empirical cases in Chongqing, China. The results show that (1) CLC promotes URDEI and realizes the rational allocation of urban and rural resources by improving the quality of urban and rural elements and opening up two-way flow channels. (2) The case analysis demonstrates that CLC can improve the quality of rural elements and increase the added value of the flow to the city, which in turn drives urban elements such as talents, technology, and capital to pour into the countryside, therefore forming a realistic path for the URDEI. This study helps understand the role of CLC in the transformation of URDEI and provides a reference for the scientific implementation of land consolidation.

Transparent Bamboo with Multiple Light Transmittance levels, Fiber Textures, and Colors Based on the Gradient Structure of Bamboo

Transparent bamboo (TB) is a new type of biomass and light transmitting material with potential to serve as a substitute for transparent wood. However, the potential of the bamboo structure in preparing transparent composites is underexplored. Inspired by the functional gradient structure of bamboo, we used a simple and efficient two‐step strategy to prepare TB with different transmittance levels, fiber textures, and colors. We evaluated the performance of single‐ and multilayer TB with various fiber volume contents prepared using different lamination methods. We found that the optical and mechanical properties of TB differed with the fiber volume content and the lamination method used. TB composed of veneers with low fiber volume showed the highest light transmittance (44.6%), whereas TB composed of veneers with high fiber volume had the highest tensile strength (45.7 MPa). In terms of water resistance, cross lamination inhibited expansion in width (water absorption rate, 16.37–21.26%) and thickness (thickness swelling rate, 10.22–21.74%). The lamination structure and fiber volume content in the preparation of TB should be selected according to the specific application scenarios. The graded utilization of bamboo veneer with a fiber gradient can effectively realize the rational allocation of bamboo resources and promote sustainable development.This article is protected by copyright. All rights reserved.

Towards Sustainable Development Goals: Coupling Coordination Analysis and Spatial Heterogeneity between Urbanization, the Environment, and Food Security in China

The interconnection between urbanization, the environment, and food security necessitates an exploration of their coupling coordination to advance the attainment of Sustainable Development Goals. However, limited research directly addresses the feasibility and strategies required to achieve such coordination. This study investigates the coupling coordination and spatial heterogeneity between urbanization, the environment, and food security in China from 2004 to 2020, employing the coupling coordination degree model, the spatial correlation model, the Dagum Gini coefficient, and the obstacle degree model. The results show that: (1) the level of coordinated development between urbanization, the environment, and food security in China has significantly increased, as evidenced by a remarkable rise in the coupling coordination degree; (2) a robust positive spatial correlation is observed in the coupling coordination degree, with “Low-Low” clusters predominantly concentrated in northwest China and “High-High” clusters primarily located in southeast China; (3) inter-regional differences are identified as the primary cause of this spatial heterogeneity; (4) food security has emerged as the foremost obstacle to coordinated development between urbanization, the environment, and food security in China. Optimizing the rational allocation of natural resources across different sectors, enhancing resource use efficiency, and strengthening environmental pollution control and management have been proven to be crucial measures and key strategies for promoting their coordinated development. This study provides a novel perspective on balancing the intricate relationship between urbanization, environmental protection, and food security, which is conducive to the achievement of Sustainable Development Goals in developing countries.