Improve Resource Utilization Efficiency Research Articles

Extraction and In Vitro Skincare Effect Assessment of Polysaccharides Extract from the Roots of Abelmoschus manihot (L.).

Obtaining high-added value compounds from agricultural waste receives increasing attention, as it can both improve resource utilization efficiency and reduce waste generation. In this study, polysaccharides are extracted from the discarded roots of Abelmoschus manihot (L.) by the high-efficiency ultrasound-assisted extraction (UAE). The optimized condition was determined as solid-liquid ratio SL ratio = 1:20, temperature T = 30 °C and time T = 40 min, achieving an extraction yield of 13.41%. Composition analysis revealed that glucose (Glc, 44.65%), rhamnose (Rha, 26.30%), galacturonic acid (GalA, 12.50%) and galactose (Gal, 9.86%) are the major monosaccharides of the extract. The extract showed a low degree of esterification (DE) value of 40.95%, and its Fourier-transform infrared (FT-IR) spectrum exhibited several characteristic peaks of polysaccharides. Inspired by the wide cosmetic applications of polysaccharides, the skincare effect of the extract was evaluated via the moisture retention, total phenolic content (TPC) quantification, 2,2-Diphenyl-1-picrylhydrazyl (DPPH)-free radical scavenging activity, anti-hyaluronidase and anti-elastase activity experiments. The extract solutions demonstrated a 48 h moisture retention rate of 10.75%, which is superior to that of commercially available moisturizer hyaluronic acid (HA). Moreover, both the TPC value of 16.16 mg GAE/g (dw) and DPPH-free radical scavenging activity of 89.20% at the concentration of 2 mg/mL indicated the strong anti-oxidant properties of the extract. Furthermore, the anti-hyaluronidase activity and moderate anti-elastase activity were determined as 72.16% and 42.02%, respectively. In general, in vitro skincare effect experiments suggest moisturizing, anti-oxidant, anti-radical and anti-aging activities of the A. manihot root extract, indicating its potential applications in the cosmetic industry.

Health Management Service Models for the Elderly with Visual Impairment: A Scoping Review.

The incidence of visual impairment(VI) in older people is gradually increasing. This review aimed to summarise the evidence on existing health management models and strategies for older adults with VI to improve health-related and vision-related quality of life (QoL) in older people. Based on the framework of the scoping review methodology of Arksey and O'Malley (2005), a comprehensive literature search of relevant literature published between January 2010 and June 2022 in PubMed, CINAHL, EMBASE, Web of Science, Cochrane Library, CNKI, VIP, Wanfang database, Sinomed and the grey literature. Finally, 31 articles were included. The health management model had a multidisciplinary team low vision rehabilitation model, medical consortium two-way management model, low vision community comprehensive rehabilitation model, medical consortium-family contract service model, screening-referral-follow-up model, and three-level low vision care model. The health management strategy covers nine aspects, the combination of multi-element strategies is feasible, and network information technology has also shown positive results. In the future, under the Internet and hierarchical management model, we should provide demand-based personalized support to rationalize and scientifically achieve hierarchical management and improve resource utilization efficiency and eye health outcomes.

Effects of Straw Returning on Soil Aggregates and Its Organic Carbon and Nitrogen Retention under Different Mechanized Tillage Modes in Typical Hilly Regions of Southwest China

Tillage modes and straw returning influence soil aggregate stability and the distribution of organic carbon (C) and nitrogen (N) in aggregates of different particle sizes. In the typical hilly regions of southwest China, the predominant soil type is purple soil, characterized by heavy texture and high stickiness, with relatively lower soil fertility compared to other soil types. The improper use of fertilizers and field management practices further exacerbates soil compaction. However, abundant straw resources in the region provide an opportunity for comprehensive straw utilization. The effective utilization of straw resources is of significant importance for stabilizing agricultural ecological balance, improving resource utilization efficiency, and alleviating ecological pressure. Previously, most studies have focused on the impact of different mechanized tillage systems on the physical and chemical properties of soil in hilly areas, while research on the preservation of water-stable aggregates’ organic C and N content remains limited. In this study, the soil properties of fields under a winter pea–summer corn rotation for two years were studied with regards to the effects of straw returning on its water-stable aggregate distribution, macroaggregate content (R0.25), mean weight diameter (MWD), geometric mean diameter (GMD), and the organic C and N content in soil aggregates of different particle sizes and at different depths. The effects of five different tillage modes were assessed, namely rotary tillage with straw mixed retention (RTM), conventional tillage with straw burial retention (CTB), no-tillage with straw covered retention (NTC), subsoiling with straw covered retention (STC), and no-tillage without straw retention (NT). Based on the study results, under different tillage modes, straw returning effectively enhanced the soil organic carbon (SOC) and total nitrogen (TN) reserves at the plow layer (0–30 cm), SOC increased by 17.2% to 88%, and TN increased by 8.6% to 85.9%. At the same time, the content of 0.25–2 mm aggregates increased under the straw-return treatments under different tillage patterns. The NT treatment had the lowest R0.25 and MWD and GMD values for soil aggregates at different depths, which were significantly different (p < 0.05) from the other treatment modes. The correlation coefficients between SOC and soil aggregate stability indices ranged from 0.68 to 0.90, with most of them showing highly significant positive correlations (p < 0.01). In conclusion, straw returning under different tillage systems has improved soil aggregate stability and promoted soil structure stability. Specifically, the STC treatment has shown more pronounced effects on soil improvement in the upper soil layer of the hilly regions in southwest China, while the RTM treatment is beneficial for improving the lower soil layer. Therefore, the comprehensive experimental results indicate that the combination of STC and RTM treatments represents the most promising mechanized tillage and straw returning practices for the hilly regions in southwest China.

The integration algorithm of digital resources in business administration based on cluster analysis

The field of business management involves a large amount of data and information sources, including market data, customer data, supply chain data, etc. In order to quantify and analyze different resources, help enterprises better plan and allocate resources, and improve resource utilization efficiency, a clustering analysis based digital resource integration algorithm for business management is studied. Build a business management digital resource integration framework, including data layer, integration layer, and storage layer, to integrate and store data from different sources of business management databases, thereby facilitating unified management and utilization of digital resources by enterprises. The data layer collects data from different business management databases and stores it in the database according to different sources; The integration layer preprocesses the collected data, simply fixes errors and missing information in the data, and improves data quality. Adopting a feature extraction method based on the projection direction uncorrelation strategy of the labeled power set conversion method, the useful feature information of digital resources in enterprise management can be effectively extracted; Based on the two-step clustering analysis method, business management digital resources are clustered according to similar characteristics to complete the classification and integration of business management digital resources, and improve the efficiency of resource utilization; The storage layer adopts the Security Information Diffusion Algorithm (IDA) storage model to store integrated and classified digital resources managed by enterprises, ensuring data security and effectively preventing data leakage and illegal access. The experimental results show that the digital resource structure of business management integrated by this algorithm is clear, with a data redundancy of less than 8% and a difference of less than 11%. The time consumption for data integration is less than 2.11 minutes, indicating good resource integration ability.

Integrated rice-yellow catfish farming resulting in variations in the agricultural environment, rice growth performance, and soil bacterial communities.

Different rice production patterns exert varying comprehensive impacts on the agricultural environment. Integrated rice-fish farming, an advanced and rapidly developing agricultural production pattern, aims to improve resource utilization efficiency and enhance food productivity. To unravel the responses and internal interactions of the agricultural ecological environment to integrated rice-fish farming, we assessed and compared environmental factor, rice growth performance, and soil microbiome in both integrated rice-yellow catfish farming (IRYF) and rice monoculture (RM) systems. Our results revealed significant increases in the total nitrogen and ammonia concentrations in the paddy water and soil induced by the IRYF. Rice growth performance in the IRYF group surpassed that in the RM group. IRYF obviously impacted almost all dominant bacterial phyla, genera, and functional groups (top ten most abundant), enhancing the ability of bacteria to degrade and utilize organic matter. Additionally, IRYF led to noticeable reductions in the Shannon, Simpson, Chao 1, and Pielou_J indices. IRYF strengthened the interconnections between various taxonomic units in bacterial co-occurrence network, resulting in increased complexity, stability, and disturbance resistance in the soil bacterial community. IRYF notably facilitated the transition from a community assembly dominated by stochastic processes to one dominated by deterministic processes for the soil bacterial community. The deterministic process driving this transition was variable selection. All the environmental factors, except for soil nitrate, demonstrated relatively high contributions to alterations in soil bacterial communities, with environmental variables significantly positively correlated with the soil bacterial community in the IRYF group. Alterations in functionality, composition, and diversity of the soil bacterial community were clearly associated with most environmental variables and rice growth performance indices. Our research contributed to understanding the comprehensive impacts of integrated rice-fish farming on agricultural ecosystems and provide theoretical support for achieving the sustainable agricultural production and optimizing the rice production patterns.

Optimization of LID Strategies for Urban CSO Reduction and Cost Efficiency: A Beijing Case Study

Combined sewer overflow (CSO) can lead to serious urban water environment pollution and health risks to residents. Low Impact Development (LID) facilities are one of the important measures to alleviate CSO and have been widely applied. The rational selection of LID facility types, locations, and scales is the most important task, which can effectively improve resource utilization efficiency. Based on the NSGA-II multi-objective optimization algorithm and coupled with the SWMM sewer network hydraulic model, this study takes the combined sewer overflows and the construction cost of LID facilities as optimization objectives and optimizes the types and scales of LID layout in the study area, including eight different return periods. By using the Pareto frontier and visualizing the results of the model, the effects of different rainfall return periods on the CSO control and investment cost of LID layout schemes are compared. The results show the following: (1) the optimization model can demonstrate the relationship between CSO control volume and LID construction cost under different LID layout schemes through the Pareto frontier, showing three different trends, indicating that the relationship between overflow volume and investment cost is nonlinear; (2) with the increase in rainfall intensity, higher requirements are proposed for LID schemes to meet CSO control targets, leading to a decrease in the number of Pareto frontier solution sets. Under larger rainfall intensities, it is difficult to achieve the same overflow control effect by increasing the scale of LID construction. Therefore, considering constraining the LID construction cost between RMB 5.3 and 5.38 million is helpful to determine the most suitable solution; (3) in the optimal layout schemes under different return periods, 87.3% of the locations where LID is deployed have similar scales. Based on these locations with a relatively large proportion of deployment, it can be determined that special attention should be paid to spatial positions in LID planning and construction. This study provides valuable insights for solving combined sewer overflow problems and optimizing urban drainage management and provides guidance for future planning and decision-making processes.

Evaluation method for the impact of digital finance on the environmental performance of manufacturing industry

ABSTRACT A new evaluation method for the impact of digital finance on the environmental performance of the manufacturing industry is proposed to improve the accuracy of evaluation results and provide reliable data for enterprise development. Establish a scientific and comprehensive evaluation index system that includes environment, cost-effectiveness, life cycle, and sustainable development. Collect sample data through indirect measurement and direct measurement methods through questionnaire surveys and standardize each data through the measurement of digital economy development level to eliminate differences between different indicators. Based on the constructed evaluation indicator system and sample data collection results, the weights of each evaluation indicator are determined by establishing a projection pursuit model. The fuzzy comprehensive evaluation method and the analytic hierarchy process are used to obtain the fuzzy comprehensive evaluation results of environmental performance based on the projection pursuit model to evaluate the impact of digital finance on the environmental performance of the manufacturing industry. The experimental results show that compared with traditional business models, digital business models can effectively reduce energy consumption, operating costs, and logistics transportation costs of enterprises, improve resource utilization efficiency, and outperform traditional methods in evaluation accuracy, recall rate, and efficiency, verifying the effectiveness of this method.

Service-Aware Hierarchical Fog–Cloud Resource Mappingfor e-Health with Enhanced-Kernel SVM

Fog–cloud-based hierarchical task-scheduling methods are embracing significant challenges to support e-Health applications due to the large number of users, high task diversity, and harsher service-level requirements. Addressing the challenges of fog–cloud integration, this paper proposes a new service/network-aware fog–cloud hierarchical resource-mapping scheme, which achieves optimized resource utilization efficiency and minimized latency for service-level critical tasks in e-Health applications. Concretely, we develop a service/network-aware task classification algorithm. We adopt support vector machine as a backbone with fast computational speed to support real-time task scheduling, and we develop a new kernel, fusing convolution, cross-correlation, and auto-correlation, to gain enhanced specificity and sensitivity. Based on task classification, we propose task priority assignment and resource-mapping algorithms, which aim to achieve minimized overall latency for critical tasks and improve resource utilization efficiency. Simulation results showcase that the proposed algorithm is able to achieve average execution times for critical/non-critical tasks of 0.23/0.50 ms in diverse networking setups, which surpass the benchmark scheme by 73.88%/52.01%, respectively.

The influence of NaOH concentration on the strength and microstructure of ceramic binders prepared from coal gangue through geopolymerization

The efficient utilization of coal gangue plays an indispensable role in reducing environmental pressure, improving resource utilization efficiency and promoting green development. As a kind of solid waste rich in silicon and aluminium, coal gangue can be used to prepare ceramic materials. Therefore, a new ceramic preparation process was proposed in this study to prepare ceramic binders for grinding wheels by geopolymerization. The SiO2-B2O3-Al2O3-RO-R2O ceramic binder, a green and low-cost material, was successfully prepared using this method. The effect of the concentration of NaOH on the mechanical properties and microstructure of the ceramic binder was also studied. The strength and microstructure of different ceramic binders were characterized by XRD, TG-DTG, SEM-EDS and FT-IR. The results show that the bending strength of the geopolymer ceramic binder increases proportionately with the increase of NaOH concentration. When the concentration of sodium hydroxide is 15 M, the bending strength reaches 19 MPa. N-A-S-H gel and zeolite formed in the geopolymerization reaction and the pores formed in the sintering process have a significant effect on the bending strength of the ceramic binder. This technology can significantly stimulate the chemical activity of coal gangue and provide innovative ideas for efficient utilization of coal gangue.

A critical analysis of challenges and opportunities for upcycling food waste to animal feed to reduce climate and resource burdens

Global food loss and waste has not abated despite tremendous efforts to reduce it. Food wastage has profound consequences including our inability to combat hunger, contributions to unsustainable resource exploitation, and represents about half of the greenhouse gas emissions of the entire agrifood system. Mitigating the problems for a sustainable future requires managing food waste using the most appropriate approach. Upcycling food waste to animal feed is an essential strategy to capture the greatest value compared with other recycling options. The overall goal of this critical analysis is to provide evidence that upcycling of many food waste sources to animal feed can be successfully achieved in support of sustainable productivity. We describe multiple dimensions of reducing emissions and improving resource utilization efficiency, characterize the suitability of various food waste sources and limitations as animal feed, and describe the needs for de-risking strategies, overcoming legislative bottlenecks, and filling knowledge gaps to accelerate greater use of this high impact sustainability strategy.

Extended TODIM technique based on TOPSIS for county preschool education resource allocation level evaluation under interval-valued Pythagorean fuzzy sets

Optimizing the allocation of preschool education resources and improving the efficiency of resource allocation is of great strategic significance for the universal and inclusive development of preschool education and the realization of “education for young children". In recent years, the shift from high-speed development to high-quality development of the social economy has significantly improved the balanced development level of China’s preschool education industry. However, preschool education remains the weakest link in China’s education system and the most unfavorable aspect of educational resource allocation. Problems such as shortage of preschool education resources, insufficient investment, uneven regional development, imbalanced supply and demand structure, low resource allocation efficiency, and “difficult to enter, expensive to enter” are still prominent. How to optimize resource allocation and improve resource utilization efficiency in the limited resources of preschool education is the key to achieving balanced, fair, coordinated, and high-quality development of preschool education. The county preschool education resource allocation level evaluation is MAGDM problems. Recently, the TODIM and TOPSIS technique was employed to cope with MAGDM issues. The interval-valued Pythagorean fuzzy sets (IVPFSs) are employed as a tool for characterizing uncertain information during the county preschool education resource allocation level evaluation. In this manuscript, the interval-valued Pythagorean fuzzy TODIM-TOPSIS (IVPF-TODIM-TOPSIS) technique is built to solve the MAGDM under IVPFSs. Finally, a numerical case study for county preschool education resource allocation level evaluation is given to validate the proposed technique. The main contribution of this paper is managed: (1) the TODIM and TOPSIS technique was extended to IVPFSs; (2) Information Entropy is employed to manage the weight values under IVPFSs. (3) the IVPF-TODIM-TOPSIS technique is founded to manage the MAGDM under IVPFSs; (4) Algorithm analysis for county preschool education resource allocation level evaluation and comparison analysis are constructed based on one numerical example to verify the feasibility and effectiveness of the IVPF-TODIM-TOPSIS technique.

When Spectrum Sharing in Cognitive Networks Meets Deep Reinforcement Learning: Architecture, Fundamentals and Challenges

Next-generation wireless networks require the integration of cognitive networks (CNs) and decision-making techniques to improve the spectrum efficiency. The conventional spectrum sharing schemes require full channel state information of CNs and cannot satisfy the low-latency requirement of nextgeneration wireless networks. Artificial intelligence has shown its high potential to perform decision-making and improve resource utilization efficiency. Hence, we propose a multi-agent reinforcement learning (MARL)-based scheme for spectrum sharing, which is a promising self-decision technique in highly dynamic and complex wireless networks. We analyze several key challenges when MARL is applied to spectrum sharing, such as multi-objective function formulation, multi-dimensional action space, and partial channel state information. Then, we propose efficient solutions and apply the explainable DRL to improve the convergence efficiency in spectrum sharing. The proposed architecture, fundamentals, and challenges provide a clear vision for MARL in CNs.

Combining natural resources to drive technology and efficiency for a greener economic recovery

In order to promote environmental awareness and a sustainable and effective economic recovery, this study examines the complementary effects of technology and natural resources. We employed the Modified Mean Group (MMG) technique to evaluate data collected from 2000 through 2022 to arrive at our empirical results. Advanced technology combined with renewable energy sources, including wind and solar electricity, may transform the industry and spur economic development. The study highlights case studies where technology improves resource utilization efficiency and highlights the critical role that innovation plays in sustainably using natural resources. A greener economic recovery that minimizes ecological damage and promotes a circular economy is achieved by combining these aspects. The research also looks at the frameworks for policy that encourage the combination of technology and natural resources, highlighting the need for industry, government, and community cooperation.

ПІДВИЩЕННЯ ЕФЕКТИВНОСТІ ТА ОЦІНКА ВИКОРИСТАННЯ РЕСУРСНОГО ПОТЕНЦІАЛУ СІЛЬСЬКОГОСПОДАРСЬКИХ ПІДПРИЄМСТВ

Research on increasing the efficiency of utilizing the resource potential of agricultural enterprises is particularly relevant in the modern world, where agriculture plays a crucial role in ensuring food security and sustainable development. Population growth, climate change, limited resources, and constant technological innovations pose significant challenges to the agricultural sector. Therefore, studying issues related to the efficient use of resources and assessing their potential is strategically important for enhancing the competitiveness of agricultural enterprises. One of the key aspects of the research is the analysis of resources available to agricultural enterprises, such as land, water, human resources, capital, and technologies. Understanding how these resources can be optimally utilized is crucial for the development of resilient and productive agricultural systems. The article discusses the essence and importance of enhancing the resource potential specifically of agricultural enterprises. It explores the internal and external factors shaping production-resource potential. Special attention is given to the assessment and methods of improving resource utilization efficiency on agricultural enterprises. In particular, it is determined that one of the main tools for assessing resource utilization efficiency is key performance indicators, and key aspects of the role of assessing resource utilization efficiency of enterprises are separately considered and described. Additionally, a model for conducting such an assessment is provided. Directions for improving the efficiency of resource utilization of agricultural enterprises and their characteristics are identified. Overall, scientific research in the field of enhancing efficiency and assessing the utilization of the resource potential of agricultural enterprises is critical for ensuring the sustainable development of the agricultural sector, increasing its production capacity, and ensuring food security. Furthermore, such research provides valuable insights and strategies for optimizing resource management practices, fostering innovation, and addressing emerging challenges in agricultural production.

Sustainable Community Transformation and Planning Based on Community Layout and Low Impact Development Concept

The Sustainable Cities and Communities emphasized in the United Nations Sustainable Development Goals are cities and residential communities that prioritize inclusivity, safety, and resilience against disaster risks. China's urbanization process has embarked on a trajectory of rapid development, characterized by substantial advancements in urban construction and continuous enhancements to the urban landscape and environment. Confronted with an immense urban population scale, the sustainable transformation of traditional communities has emerged as the primary focus for establishing resilient communities. This paper compares the disparities between communities established by the traditional community model and sustainable community concept, scrutinizes the limitations of traditional community models, and proposes strategies for the sustainable transformation of traditional communities through adopting low impact development concepts in rainwater management. For the "block" layout, this paper proposes enhancing the connectivity of green spaces and promoting diversity. For the "central" layout, it is recommended to optimize access roads, including pedestrian and vehicle routes, by integrating green spaces. In the case of an "intensive" layout, emphasis should be placed on improving resource utilization efficiency through multi-functional approaches. For the planning of new sustainable communities, this paper puts forward suggestions from the micro and macro planning levels.

Battery parameter identification method of a battery module based on a multi-physical measurement system

The secondary utilization of retired electric vehicle batteries is beneficial for improving resource utilization efficiency. Capacity and internal resistance are battery parameters that can reflect the battery state. To identify the parameters of a single battery in a battery module, it is usually necessary to disassemble the battery module. The process is complex, time-consuming, and unsafe. In this paper, a battery parameter identification method without disassembling the battery module is developed based on a multi-physical measurement system. First, a multi-physical electrical-thermal-spatial measurement system is constructed to measure the physical parameters of the battery module during charging and discharging. Then, the electrical model and the thermal model are developed. To obtain the capacity and internal resistance of each cell within the battery module, a battery parameter identification model is established with temperature and total battery current as input parameters and battery capacity and internal resistance as output parameters. Batteries with different capacities and internal resistances are connected in series and parallel to simulate retired battery modules for electric vehicles. The battery parameters are identified using the method presented in this paper. According to the experiments, the relative errors of parameter identification for battery capacity and internal resistance are both within 9 %. This method can improve the efficiency of the battery screening process as well as the reliability of the battery system.

Optimization of human recombinant granulocyte-colony stimulating factor supplementation during in vitro production of porcine embryos to improve the efficiency of resource utilization of poor-quality cumulus-oocyte complexes

Granulocyte colony-stimulating factor (G-CSF), a pleiotropic cytokine, is secreted by the reproductive tract. Furthermore, our previous study indicated that human recombinant G-CSF (hrG-CSF) supplementation during porcine oocyte in vitro maturation (IVM) or during embryo in vitro culture (IVC) improved their quality and development potential when using cumulus-oocyte complexes (COCs) with more than three cumulus cell layers (CCL >3). Thus, in this study, we investigate the optimal conditions of hrG-CSF supplementation throughout the in vitro production (IVP: IVM + IVC) system to improve the embryo production efficiency of “poor-quality (CCL ≤3)” oocytes. COCs were classified into two groups according to the number of CCL (>3 and ≤3) and embryonic viability was analyzed after treatment with hrG-CSF during IVC. The mRNA transcription levels of G-CSF in COCs were compared based on their type and the period of IVM. Finally, developmental capacity and quality were evaluated after treatment with hrG-CSF for different periods of IVP. No marked effects on the developmental potential of embryos when using CCL ≤3 type COCs were observed after supplementing hrG-CSF only during IVC. Moreover, the mRNA transcription level of G-CSF increased gradually with IVM culture time and was higher in CCL ≤3 COCs than in >3. Supplementing hrG-CSF only during the IVM period resulted in the best embryo developmental potential, while supplementing hrG-CSF during the IVP period resulted in the best quality embryos, reflected in the increased total cell number and decreased apoptotic nuclei index of blastocysts. These findings indicate that “poor-quality” COCs may have a greater demand for G-CSF than “good-quality”, meanwhile hrG-CSF supplementation throughout IVP improves resource utilization efficiency in poor-quality COCs.

Performance Assessment of a Rehabilitation Transportation Reservation Matching Service with Market Design Mechanisms

Government agencies provide huge amount of subsidies to support the rehabilitation transportation service over the past decade in eastern Taiwan; however, low demand request fulfillment rate, limited medical and transportation resources, long travel distances, and an extremely high percentage of dead mileages are still the main challenges faced by rehabilitation transportation service providers. This study applies the market design theory to match the rehabilitation buses with the requests of patients, so as to improve resource utilization efficiency in rural areas. The developed market design mechanisms aim to allocate resources to those who need them most in a matching manner, by using the deferred acceptance algorithm and the top trading cycle approach. The model is initialized with the requests of those who choose the rehabilitation bus based on their desired boarding time slots. On the other hand, the service providers of the rehabilitation bus would determine patients’ schedule based on their disability level, willingness to share the ride, number of fulfilled appointments during this month, and the travel distance of this trip as the order of preference. Since the current vehicle dispatching rule is to reserve seats of a rehabilitation bus on the “first-come-first-served” basis, and it cannot fully satisfy patients need. In accordance with the historical data, 63 of 72 demand requests could successfully reserve the seats. In the “first-come, first-served” mode, 48 requests obtained the first-ranking shift (i.e., their desired time slots), and the sum of their disability level score is 155. In the market design matching mode, 57 requests obtained the first-ranking shift, and the sum of their disability level score is 170, which demonstrates that the proposed market design matching mechanism outperforms than the conventional rules.

ПОВЫШЕНИЕ ЭФФЕКТИВНОСТИ РАБОТЫ ТЭЦ ПАО «ГАЙСКИЙ ГОК» ЗА СЧЕТ ДОЗАГРУЗКИ ТУРБОАГРЕГАТОВ

Competitiveness of Gaysky GOK depends on energy costs, including the purchase of electricity for technological needs. Turbine units additional load is often considered in the context of optimization of power plant operation under changing conditions of electricity demand. By increasing the turbine load at certain times or when necessary to respond to changes in grid load, it is possible to improve resource utilization efficiency and reduce power generation costs. This article describes the methods of increasing the efficiency of steam-turbine units of thermal power plant of PJSC "GAYSKiy GOK", due to additional loading of operating turbine units up to nominal capacity. At low cost of electricity produced by the CHPP, compared to electricity purchased on the wholesale electricity market, which will reduce the company's costs for electricity purchase. 
 Steam, which is produced during the operation of turbine units in nominal mode and in the winter period is used for heating the city, in the fall-summer-spring periods it is proposed to use for the operation of evaporator plant, which will be used for desalination of clarified water, which after processing will be used in the technological process of the CHPP itself, as feed water for boilers, which will eliminate the need for water treatment of the CHPP.

An evaluation framework for urban ecological compensation priority in China based on meta-analysis and fuzzy comprehensive evaluation

This initiative seeks to attain a harmonious equilibrium of regional environmental pressures and improve resource utilization efficiency within the context of habitat and environmental preservation. The escalating urban population exposure underscores the significance of restoring human settlements, emerging as a critical concern in urban planning and development. However, a notable deficiency exists in both theoretical foundations and methodologies for identifying cities requiring greater support for environmental restoration. The evaluation of ecological compensation priority has thus become pivotal in accomplishing this objective. Consequently, this study endeavors to elucidate the research paradigm surrounding urban ecological compensation priority and proffer a framework for assessing and analyzing the spatial characteristics of such priority in China. Employing the meta-analysis method, the study established an evaluation index system for ecological protection importance (EPI) to delineate ecological compensation priority. Leveraging data sourced from literature findings and publicly available data from Google Earth Engine, an evaluation of EPI subsystems (HSEQ and ecological sensitivity) ensued via the application of a fuzzy comprehensive evaluation model. Ultimately, the EPI value was computed using a coupling coordination degree model, facilitating the determination of ecological compensation priorities for Chinese cities. The results showed that (1) Most cities displayed both low-grade human settlement environmental quality (HSEQ) and ecological sensitivity, especially about 59.8% cities in lowest grade HSEQ. And they showed aggregated distribution from both the aspects of the HSEQ(Moran’I = 0.16) and the eco-sensitivity(Moran’I = 0.297). (2) 53.5%(n = 53) cities in low compensation priority and 38.4%(n = 36) in medium compensation priority, only 8.1%(n = 8) cities in high compensation priority. (3) 83.75% cities accorded with the feature that cities with obvious population growth could upgrade the compensation priority. It indicates that cities and urban agglomerations with potential for population growth should receive more attention. This study presents an analytical framework for urban ecological compensation, aiming to offer valuable insights for urban HSEQ policy decisions related to urban ecological management.