Efficient Resource Utilization Research Articles

An effective logarithm-degree resource allocation strategy for three-layer networks

Conventional resource allocation strategies, such as the Simplest Average (SA) resource allocation strategy, often assume identical transmission capacity for all nodes, failing to account for the actual importance of nodes within the network, especially in three-layer networks where inadequate resource allocation to hub nodes can significantly impact performance. Existing methods are primarily designed for single-layer networks and struggle to address the complexity and interdependencies of real-world multi-layer structures, thus limiting the optimization of network traffic capacity. This paper proposes an Effective Logarithm-Degree (EL) resource allocation strategy that allocates node delivery capacity based on the ratio of the logarithmic degrees of nodes across the logical and physical layers. Compared to the Simplest Average resource allocation strategy, the Effective Logarithm-Degree strategy significantly enhances network traffic capacity, increasing it by over 1.4 times and reducing traffic load by 60%, while also optimizing the load balance. Simulation results validate the superiority of the Effective Logarithm-Degree strategy in improving performance and resource utilization efficiency in three-layer network environments.

Framework and Outlooks of Multi-Source–Grid–Load Coordinated Low-Carbon Operational Systems Considering Demand-Side Hierarchical Response

In the context of advancing new power systems, a multi-source–grid–load interactive operation framework considering low-carbon demand hierarchical response is developed to further explore the support value of the multi-source–grid–load interaction mechanism for the low-carbon economic operation of the power system. The framework analyzes the support mechanisms of carbon tracking and load-side demand response for the low-carbon economic dispatch of the system and derives the carbon flow calculation method based on the network node correlation matrix, laying the foundation for developing low-carbon demand response strategies. Meanwhile, considering the marginal contribution of each load-side node to the system carbon emissions, a combined Shapley–Topsis low-carbon demand hierarchical response mechanism is designed to guide load nodes in implementing accurate low-carbon hierarchical responses, thereby ensuring the optimal allocation and efficient utilization of system resources. Finally, based on the proposed framework, promising future research perspectives are proposed to provide critical insights for constructing a low-carbon and reliable new energy system.

Outlook for Sustainable Utilization of Agricultural Waste and Biomass Fuel and Materials Production

The reasonable and effective treatment and utilization of agricultural production waste is an effective way to deal with energy depletion and climate change. Agricultural waste, including crop straw, livestock manure, agricultural film, pesticide packaging, the waste if improperly handled, can lead to soil, water and air pollution, like remains in agricultural land contains various chemical elements of crop straw and livestock manure, if improperly handled will cause irreversible of soil erosion and pollution. Through resource utilization, these wastes can be converted into organic fertilizers, bioenergy, feed or other valuable products, thus reducing environmental pollution, improving the efficiency of resource utilization, and promoting the sustainable development of agriculture. This study will discuss the technical progress of the treatment mode of agricultural waste in the current technical field, and find out the shortcomings and challenges of the existing technology. China, India, America, Japan, Thailand and many other countries are stepping up their research on biomass energy. The development and utilization of agricultural biomass have a strong competitiveness in the energy market.

Analysis of the Trends and Driving Factors of Cultivated Land Utilization Efficiency in Henan Province from 2000 to 2020

Amid persistent global food security challenges, the efficient utilization of cultivated land resources has become increasingly critical, as optimizing Cultivated Land Utilization Efficiency (CLUE) is paramount to ensuring food supply. This study introduced a cultivated land utilization index (CLUI) based on Fractional Vegetation Cover (FVC) to assess the spatiotemporal variations in Henan Province’s CLUE. The Theil–Sen slope and the Mann–Kendall test were used to analyze the spatiotemporal variations of CLUE in Henan Province from 2000 to 2020. Additionally, we used a genetic algorithm optimized Artificial Neural Network (ANN) and a particle swarm optimization-based Random Forest (RF) model to assess the comprehensive in-fluence between topography, climate, and human activities on CLUE, in which incorporating Shapley Additive Explanations (SHAP) values. The results reveal the following: (1) From 2000 to 2020, the CLUE in Henan province showed an overall upward trend, with strong spatial heterogeneity across various regions: the central and eastern areas generally showed decline, the northern region remained stable with slight increases, the western region saw significant growth, while the southern area exhibited complex fluctuations. (2) Natural and economic factors had notable impacts on CLUE in Henan province. Among these factors, population and economic factors played a dominant role, whereas average temperature exerted an inhibitory effect on CLUE in most parts of the province. (3) The influenced factors on CLUE varied spatially, with human activity impacts being more concentrated, while topographical and climatic influences were relatively dispersed. These findings provide a scientific basis for land management and agricultural policy formulation in major grain-producing areas, offering valuable insights into enhancing regional CLUE and promoting sustainable agricultural development.

An Optimization Method for Manned/Unmanned Aerial Vehicle Collaborative Operation System Architecture Based on PGQNSGA-II

The architecture of the Manned/Unmanned Aerial Vehicle Collaborative Operation System (MAV/UAV COS) is crucial for improving combat effectiveness and resource utilization efficiency. Optimizing this architecture involves managing complex, interdependent components, which presents a constrained multi-objective optimization challenge. Initially, the elements of the MAV/UAV COS architecture were analyzed and formally expressed, transforming the architecture optimization problem into a multi-objective optimization problem, with the objectives of maximizing total system effectiveness, command-and-control performance, and system execution performance. Constraints were formulated based on mission and payload information. Subsequently, a Quantum Non-Dominated Sorting Genetic Algorithm based on Preference Guidance (PGQNSGA-II) was developed, incorporating an adaptive quantum gate mechanism based on preference information to enhance chromosome updating, ensuring that the probability amplitude of quantum bits aligns more closely with the optimal chromosome. The simulation results demonstrate that the proposed PGQNSGA-II algorithm significantly enhances the global search capability and efficiency compared to traditional quantum genetic algorithms, making it well-suited for optimizing MAV/UAV COS architectures.

A stable method for ionic rare earth element extraction and quantitative analysis of total quantity and composition of batch samples.

The development of a stable, high-precision and batch ion-adsorption rare earth element detection method is highly anticipated in the delineation and evaluation of the mining value of rare earth element mines. In this study, a novel mixed extractant of ammonium sulfate + ammonium citrate + aceto-sodium acetate buffer was used to significantly improve the extraction efficiency of rare earth elements. Following a series of parameter optimizations, an off-line internal standard addition method and the collision mode of the inductively coupled plasma-mass spectrometer were used to improve the detection efficiency for batch samples, effectively eliminating oxide interference between the rare earth elements and improving the detection accuracy. The detection limit for ion-adsorption rare earth elements was 3.4 μg g-1 and the detection range was 12-8000 μg g-1. More importantly, the spiked and recovery experiments carried out in multiple laboratories with internal quality control samples show that the relative deviation was -5.61 to 3.79%, which indicates that the method has sufficient stability. Establishment of this method will help to improve the comprehensive utilization efficiency of rare earth resources and provide important support for rare earth element mining.

Multi-airport system management strategies considering air-rail intermodality and social welfare

The resource allocation and utilization efficiency in multi-airport systems can be significantly enhanced through the implementation of effective management strategies, thereby enhancing transportation efficiency in these critical transportation hubs. This study proposes a decision-making model for governments, airports, and air carriers operating within multi-airport systems, incorporating network structures that encompass both air-rail intermodal connectivity and direct route options. A backward induction method is employed to conduct a comparative analysis of social welfare between group management and localized management strategies for multi-airport systems. The results demonstrate that the group management strategy represents the Nash equilibrium, as it ensures the maximization of social welfare while maintaining alignment with public welfare objectives. Further examination of high-speed rail unit operating costs reveals a potential Prisoner’s Dilemma that the management departments may encounter. When the high-speed rail unit operating costs fall below a critical threshold, total social welfare under the localized management strategy surpasses that of the group management strategy for multi-airport systems. Moreover, higher airline revenue proportions derived from air-rail intermodal services may mitigate the likelihood of encountering a Prisoner’s Dilemma, as the critical value of high-speed rail unit operating cost increases with the increase of airline revenue proportions. These findings provide valuable insights for policymakers and stakeholders in designing effective multi-airport system management strategies, integrating both operational efficiency and social welfare maximization.

Allocating New Slots in a Multi-Airport System Based on Capacity Expansion

Over time, the rapid expansion of civil aviation infrastructure has led to the establishment of multi-airport systems (MASs) or Metroplex, where airports situated in close proximity form interconnected networks. Given that individual airport capacities often fall short of meeting flight scheduling demands, devising effective multi-airport flight scheduling methods becomes imperative. This article introduces a novel MAS slot expansion configuration framework centered on coupling terminal areas. In contrast to conventional airport capacity slot expansion approaches, this framework demonstrates superior configurational efficacy within respective airport terminal environments. The model outlined in this research identifies the terminal control sector as the pivotal resource node within the interconnected terminal area, aiming to maximize the total expanded slots while minimizing the overall unfairness among airports within the terminal airspace. Employing the ε-constraint method facilitates the transformation of the minimization objective into solvable constraint conditions. Subsequently, leveraging Beijing Metroplex as a case study, the research devises benchmark, single-airport, multi-airport minimum, and multi-airport maximum scenarios to compare and analyze configuration outcomes in terms of key resource allocation impacts and coupled resource utilization efficiencies. Ultimately, employing the AirTOp fast-time simulation model validates each scenario, demonstrating that the proposed configuration method yields reduced delay levels and fewer conflicts in simulation environments.

Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic assessment

Past-to-future resources utilization efficiency and cross-regional compensation strategies in urban agglomerations driven by environmental footprint dynamic assessment

Optimization of preparation process for seasoning derived from the lees of Shaoxing Huangjiu(Chinese yellow rice wine) based on multi round progressive strategy

Huangjiu lees are rich in flavor compounds, but traditional methods of utilizing them remain inefficient. Developing an efficient process for the rapid release and extraction of these flavor compounds from Huangjiu lees to produce lees-flavored seasonings holds significant promise. To tackle this complex process, a multi-round, progressive optimization strategy was devised. First, four separate orthogonal experiments identified the key factors for pre-fermentation, acid hydrolysis, enzyme hydrolysis, and debittering/decolorization, which were determined to be pre-fermentation time, HCl concentration, flavor enzyme concentration, and activated carbon ratio, respectively. Subsequently, response surface methodology was employed to rank the importance of these four factors in influencing the sensory score of the seasonings. The optimal conditions were determined as follows: pre-fermentation time of 7.785 days, HCl concentration of 14.978 %, flavor enzyme concentration of 6.276 %, activated carbon ratio of 7.496 %, with an expected sensory score of 45.117. Finally, the AI-based ANN-PSO method was applied for further refinement, yielding optimized conditions of a pre-fermentation time of 7.417 days, HCl concentration of 12.569 %, flavor enzyme concentration of 6.843 %, activated carbon ratio of 6.946 %, and an improved expected sensory score of 47.838. Verification experiments confirmed the superiority of the latter conditions. This study not only establishes a novel method for the efficient utilization of the abundant flavor resources in Huangjiu lees, which has substantial market potential, but also demonstrates that combining multiple optimization methods in a stepwise, multi-round approach is effective in addressing complex manufacturing processes involving multiple stages and factors.

Implementation of 5S, Andon, and Kanban for waste reduction in creative industries (Case study: QRS Batik SME)

Batik SMEs often face challenges in reducing waste, which impacts production efficiency and product quality. This study aims to evaluate the production process at QRS Batik Small Medium Enterprise (SME) using the 5S, Kanban, and Andon methods to minimize seven waste and improve productivity. The 5S method, which includes sort, set in order, shine, standardize, and sustain, was implemented to create a cleaner, more organized, and efficient work environment. Kanban served as a visual tool to optimize communication and manage production flow, especially among hearing and speech-impaired employees. Meanwhile, Andon was implemented to detect and address production issues in real-time, thereby minimizing downtime and maintaining product quality. The findings of this study indicated that the integrated implementation of 5S, Kanban, and Andon effectively reduces waste related to materials, transportation, and waiting time, while significantly improving product quality and production efficiency. This research hopes to serve as a guide for other Batik SMEs in adopting lean manufacturing approaches to enhance competitiveness and maximize effective and efficient resource utilization.

Analysis of the characteristics and influencing factors of water ecological security in Beijing-Tianjin-Hebei region: A perspective of industrial agglomeration

Water ecological security (WES) is crucial for promotion of economic and social development characterized by high-quality, while exploring the characteristics of WES and its response mechanism to industrial agglomeration can help formulate and implement relevant policies. In this study, a WES evaluation index system tailored for the Beijing-Tianjin-Hebei (BTH) region was constructed based on the Pressure-State-Response (PSR) framework. Additionally, building on the assessment of the degree of industrial agglomeration within the BTH region, the research employs a spatial Durbin model to investigate the impact of industrial agglomeration on WES in the BTH region. The main results are as follows: (1) The level of WES in the BTH region has steadily increased from 2005 to 2021, consistent with the trend of industrial agglomeration in the study area. (2) Influenced by regional economic development and natural conditions, the WES in the BTH region exhibits significant regional disparities and spatial autocorrelation, with levels decreasing from the central area to the east, northwest, and south. (3) Industrial agglomeration enhances WES by improving resource utilization efficiency, reducing pollutant emissions, and providing regional governments with financial resources to improve public services and water ecological protection, leading to better water ecological quality. (4) The impact of different industries on WES varies. As the proportion of the primary industry in the BTH region is relatively small, the agglomeration of the secondary and tertiary industries is more effective in promoting improvements in WES. Moreover, the spatial spillover effects of industrial agglomeration in the BTH region are significant. To enhance the level of WES in the region, this study recommends strengthening water ecological protection, promoting industrial structure adjustment, and enhancing collaborative development.

Enhancement of calcium alginate and urea in gel-modified dry water inhibition of methane-air explosion

Methane has a wide range of applications in several industries. However, it also exhibits flammable and explosive properties, which pose a potential hazard. This study used calcium alginate to make ordinary dry water powder have a stable network gel structure, and urea was added to enhance further dry water powder’s chemical inhibition. A visual test system verified the explosion suppression effect of gel-modified dry water powder on the methane-air explosion. The results show that the optimal parameters for Ordinary dry water preparation were as follows: mass ratio of SiO2 to H2O = 9:100, stirring speed = 5000 r/min, stirring time = 240 s. The powder concentration for the best explosion suppression effect is 0.52 g/L. 10 mass% Urea-modified dry water, which achieves high explosion suppression efficiency in the methane-air explosion system by cooling and endothermic suppressing the explosion reaction. The spatial distribution of Calcium alginate gel urea modified dry water hinders the propagation of the flame. Urea continuously produces nitride at different temperatures, and nitride competes for O2 and OH· Free radicals, thus destroying the methane-air explosion chain reaction. Calcium alginate gel urea (10 mass%) modified dry water of 0.52 g/L has the best explosion suppression efficiency, which reduces the flame propagation velocity of methane-air explosion system by 42.48 %, the suppression efficiency of flame temperature reaches 40 %, and the suppression effect on explosion relief pressure reaches 16 %. Calcium alginate gel urea modified dry water, a new explosion suppression material, significantly improve the explosion suppression effect of methane-air explosions, which can not only improve the industrial safety of methane-containing processes, extend equipment life, and reduce production costs but also help improve environmental protection and resource utilization efficiency by inhibiting methane explosions. This study helps to promote the development of gas explosion suppression materials and has practical significance for safe energy utilization and industrial methane applications.

Mechanistic insights into the use of flotation tail coal for enhanced water electrolysis in hydrogen production

Coal-assisted water electrolysis for hydrogen production (CAWE) is a promising method for the efficient utilization of coal resources and the sustainable generation of hydrogen. However, identifying a cost-effective and efficient carbon source remains a critical and ongoing challenge. This study proposes the use of flotation tail coal as a novel and efficient carbon source for water electrolysis. Through a combination of electrochemical experiments, thermodynamic analysis, and comprehensive material characterization techniques, this research explores the effectiveness of tail coal-assisted water electrolysis for hydrogen production (TCAWE) in enhancing hydrogen production efficiency. It is found that the catalytic effect of minerals, particularly iron and manganese ions, is instrumental in significantly reducing energy consumption and enhancing the anodic oxidation reactions in the CAWE process. Flotation tail coal, with its high content of these catalytic minerals and favorable hydrophilic surface properties, not only lowers the electrolysis voltage but also increases the hydrogen yield compared to traditional coal sources. This research innovatively demonstrates that utilizing flotation tail coal in water electrolysis offers a dual benefit: it provides a cost-effective, abundant carbon source while promoting a more efficient and sustainable hydrogen production process. Additionally, this approach is expected to facilitate the resource utilization of waste flotation tail coal.

Peak left atrial longitudinal strain and incident atrial fibrillation in the general population: a systematic review and meta-analysis

Background Atrial fibrillation (AF) is the commonest supraventricular arrhythmia in adults. Timely AF diagnosis seems to ameliorate patients prognosis. Purpose To investigate the association between peak left atrial longitudinal strain (PALS) and new onset AF in the general population. Objectives We searched major electronic databases for articles assessing the relationship between PALS and incident AF. Results Eight studies (11,145 patients) were analysed. Lower levels of PALS were significantly associated with higher risk of incident AF (HR: 0.95; 95%CI: 0.92–0.97, I 2: 83%). According to the diagnostic accuracy meta-analysis, PALS <33.4% presents 64% (95%CI: 46–79%) sensitivity and 69% (95%CI: 63–75%) specificity. Conclusions In a relatively healthy population, lower levels of PALS were significantly associated with incident AF. The overall diagnostic accuracy was moderate. Lower levels of PALS seem to justify an opportunistic – rather than a systematic-screening approach. These findings could allow more efficient utilisation of healthcare resources.

Metabolic profiles of Flammulina velutipes residues during Lactiplantibacillus plantarum fermentation

As industrial wastes of Flammulina velutipes, Flammulina velutipes residues (FVR) not only waste resources but also pollute the environment. The anaerobic fermentation of by probiotics provides an effective solution to the environmental pollution and resource waste caused by FVR. This study aimed to optimize the utilization of FVR through anaerobic fermentation facilitated by lactic acid bacteria (LAB). In this study, a novel Lactiplantibacillus plantarum Z-9 with bacteriostatic activity and rapid FVR utilisation was isolated and screened, and the safety of oral administration of Lactiplantibacillus plantarum Z-9 in mice was evaluated. Furthermore, based on untargeted metabolomics data analysis, Lactiplantibacillus plantarum Z-9 was able to promote the production of differentially beneficial metabolites in fermentation liquid, such as 3-Phenyllactic acid, trans-Cinnamic acid, and phenylacetaldehyde, which might be responsible for the aroma-enhancing properties and potential to extend the shelf life of FVR. In summary, Lactiplantibacillus plantarum Z-9 improved the efficiency of FVR resource utilization. These findings illustrate the gainful effect of Lactiplantibacillus plantarum Z-9 on the efficient conversion of FVR by anaerobic fermentation.

MOSQUE FINANCIAL MANAGEMENT AND HALAL ECONOMY ECOSYSTEM: AN ANALYSIS OF MUHAMMADIYAH MOSQUES IN SOUTH SULAWESI, INDONESIA

This research aims to analyze the financial management of Masjid Muhammadiyah in South Sulawesi Province, with a focus on the effective and efficient utilization of financial resources for Halal economic ecosystem development. The mosque plays a crucial role in the Muslim community, and sound financial management is essential for maintaining its operational sustainability and facilitating various beneficial programs and activities for the faithful. Qualitative research methodology with a case study approach was employed. Data were collected through in-depth interviews with 80 mosques Muhammadiyah in South Sulawesi and FGD with mosque administrators, financial managers, and congregants involved in the financial management of the mosque. Additionally, relevant documents such as financial reports, budgets, and financial policies were analyzed. The findings reveal that Muhammadiyah mosques in South Sulawesi province possess several strengths in their financial management. These include a commitment from mosque administrators to financial transparency and accountability, as well as the implementation of a robust accounting system. However, several challenges were identified, such as a lack of trained personnel in financial management and the need for income diversification. To address these challenges, strategic steps are recommended. First, enhancing the understanding and capacity of mosque administrators in financial management through training and education programs is crucial. Second, diversifying income sources through the development of creative and sustainable fundraising initiatives is essential. Third, leveraging information technology in financial management to achieve better efficiency and effectiveness is recommended.

Does an innovative case-based payment scheme promote the hierarchical medical system? A tripartite evolutionary game analysis

BackgroundChina is striving to promote a hierarchical medical system (HMS) to improve the efficiency of health resource utilization and ensure health equity. An innovative payment scheme named the “Diagnosis-Intervention Package” (DIP) has been developed recently and implemented in 71 pilot cities nationwide. Although the impact of payment reform on medical expenditure and provider behavior has been demonstrated, there is little evidence on whether the reform promotes the HMS.MethodsThis study uses evolutionary game theory to formulate a tripartite evolutionary game model involving the local government (LG), superior medical institutions (SMI), and patients in implementing DIP payment reform. We also analyze the stability of each participant’s strategy and the sensitivity of parameters.ResultsThe results show that for LG, the additional social benefits created for other regions are crucial in influencing the evolution of the game system. SMI are more inclined to support the HMS when the proportion of patient reduction under the DIP payment scheme is low. For patients, the perceived medical quality of primary medical institutions (PMI) is the decisive factor in their strategies.ConclusionThe DIP payment scheme is more likely to promote the HMS in regions with an advanced policy framework, abundant medical resources, and high-quality primary medical services. Policymakers need to create effective incentives to boost support for the HMS from each participant. This study provides a feasible methodology for analyzing the impact of payment reforms that can be used in future research.

Intelligent Manufacturing and Green Innovation—Evidence from China’s Listed Manufacturing Firms

The realization of intelligent and green manufacturing represents two core challenges currently faced by manufacturing enterprises. The “Intelligent Manufacturing Pilot Demonstration List” issued by the Ministry of Industry and Information Technology (MIIT) of the People’s Republic of China provides a sample of firms that have undergone stringent selection processes, demonstrating secure and controllable technological capabilities, with no intellectual property disputes. Using data from manufacturing firms listed on the Shanghai and Shenzhen stock exchanges from 2011 to 2020, we identify those that implemented intelligent manufacturing based on the aforementioned pilot list from 2015 to 2019 as the treatment group and the remaining firms as the control group to investigate whether intelligent manufacturing increases the number of green patent applications. The findings indicate that the implementation of intelligent manufacturing significantly increases green patent applications by 3.676% through three main pathways: reducing the level of financing constraints, improving resource utilization efficiency, and increasing R&amp;D investment. Heterogeneity analysis reveals that state-owned enterprises exhibit a significantly stronger promotion effect on green innovation post-implementation of intelligent manufacturing compared to non-state-owned enterprises, with enterprises in the western region demonstrating the most pronounced enhancement in green innovation. Based on these findings, we propose corresponding recommendations from the perspectives of policy support and enterprise strategy.

A Review of Research on Obstacle Factor Reduction Techniques for Medium and Low Yield Fields

The proportion of low yield fields in China is large, and there are problems such as extensive utilization, low output rate, and poor soil quality. It is crucial to reduce obstacles and improve soil fertility and productivity in low yield fields. At present, the main obstacles to reducing soil acidification, salinization, nutrient imbalance, shallow tillage layer, continuous cropping obstacles, and soil erosion can improve soil quality and increase crop yield and quality. Future research should focus on developing more precise and efficient reduction technologies, introducing intelligent agricultural technologies for real-time monitoring and precise management, promoting soil nutrient management and integrated water and fertilizer technologies, and developing sustainable agricultural technologies to enhance farmland production potential and achieve efficient resource utilization.