Resource Layout Research Articles

Realistic Cost to Execute Practical Quantum Circuits using Direct Clifford+T Lattice Surgery Compilation

We report a resource estimation pipeline that explicitly compiles quantum circuits expressed using the Clifford+T gate set into a surface code lattice surgery instruction set. The cadence of magic state requests from the compiled circuit enables the optimization of magic state distillation and storage requirements in a post-hoc analysis. To compile logical circuits into lattice surgery operations, we build upon the open-source Lattice Surgery Compiler. The revised compiler operates in two stages: the first translates logical gates into an abstract, layout-independent instruction set; the second compiles these into local lattice surgery instructions that are allocated to hardware tiles according to a specified resource layout. The second stage retains logical parallelism while avoiding resource contention in the fault-tolerant layer, aiding realism. Additionally, users can specify dedicated tiles at which magic states are replenished, enabling resource costs from the logical computation to be considered independently from magic state distillation and storage. We demonstrate the applicability of our pipeline to large, practical quantum circuits by providing resource estimates for the ground state estimation of molecules. We find that variable magic state consumption rates in real circuits can cause the resource costs of magic state storage to dominate unless production is varied to suit.

International Development Trends in the Field of Agricultural Resources and the Environment

The development trends and research layout of agricultural resources and the environment (ARE) are the focus of global attention. In this study, we compiled a data set of SCI papers published in the ARE field since the 13th Five-Year Plan. Thereafter, the topic extraction model of Latent Dirichlet Allocation (LDA) was used to mine the text content so as to explore the research layout of global ARE. The results show that, between 2016 and the time of this study, 31,559 articles were published in the ARE field, exhibiting an overall upward trend. During this time, China and the United States were the main forces in paper publishing. The Chinese Academy of Sciences (CAS), Northwest Agriculture and Forestry University, and the US Department of Agriculture were the top three publishing institutions. Research institutes in China, the United States, Russia, Sweden, the Netherlands, Brazil, and Australia cooperated closely, and the CAS was at the center of the cooperation network. The clustering results of text topics based on the LDA model show that three topics—namely, the interaction mechanisms of plants, the rhizosphere, and microorganisms; the mechanisms and predictive evaluation of soil landslides or erosion; and the decomposition and interaction response of organic matter in agroforestry ecosystems—have been the hot research areas in this field since 2016. The management and efficient utilization of farmland nutrients, and the technology and mechanisms of agricultural waste resource utilization have become key research directions since 2019. The research layouts of China and the United States in this field were analyzed, and the similarities and differences were compared. In addition, suggestions for the future development of ARE are proposed. This study is of great significance for the overall development trend of ARE, the timely tracking of scientific research hotspots, outlining key research and development directions, and promoting scientific and technological innovation.

Research on Digital Empowerment of Public Sports Service System Construction

Building a higher-level public service system for national fitness is an important cornerstone for accelerating the construction of a sports powerhouse, and it is an inherent requirement that meets the people's expectations for a high-quality life. Digital empowerment will become an effective engine and sustained driving force for achieving high-quality supply of public services for national fitness. Through research, an analysis was conducted on the current situation and challenges of a higher-level public service system for national fitness. The study suggests that a wider range of participants are required by a higher-level public service system for national fitness, which requires a renewed understanding of human needs. A stronger element support requires overall system governance, and a more balanced resource layout requires full utilization of data platforms. This study proposes suggestions: to strengthen the construction of digital infrastructure for public sports services; Accelerate the construction of digital talent teams for public sports services; Establish a mechanism for sharing information and data on public sports services, and strengthen the construction of digital technology governance mechanisms for public sports services. Research aimed at promoting the construction of a digital empowerment public sports service system.

An efficient authentication protocol with privacy-preserving for virtual power plant

As an important manifestation of the current development and transformation of the world’s power and energy industries, the virtual power plant is an important foundation for optimizing the layout of energy resources. However, since there are many open channels in the virtual power plant, adversaries can implement eavesdropping, replay, impersonation, forgery, and other attacks to access the virtual power plant, and even publish false data in the virtual power plant to disrupt the operation of the virtual power plant. In addition, it is easy for an adversary to deduce key information such as the layout of virtual power plant equipment through the identity of the device. In this context, to ensure the security and privacy of devices when accessing the platform, in this paper, we propose an efficient authentication protocol based on the elliptic curve cryptography and zero-knowledge proof, which requires only two information exchanges. Security analysis shows that the proposed protocol can meet security features such as mutual authentication, key agreement, perfect forward secrecy, and device anonymity. Performance analysis indicates that the proposed protocol achieves a reasonable balance between computational and signaling overhead, and it is more suitable for achieving efficient device authentication and privacy protection in virtual power plants.

Research on the Development Path of Industrial Tourism in Quanzhou City

The development of industrial tourism can not only promote industrial integration and enhance the added value of industrial industries, but also drive the development of related service industries, create more employment opportunities, and help local economic prosperity. Many enterprises in Quanzhou belong to the traditional manufacturing industry, so the development of industrial tourism demonstration bases can promote the transformation and upgrading of the traditional manufacturing industry and the full utilization of resources. At the same time, industrial tourism also contributes to the protection and inheritance of industrial heritage, promotes industrial civilization and enriches tourism content. The article evaluates industrial tourism in Quanzhou from the aspects of industrial tourism resources, tourism source market, and government support, and discusses the development of industrial tourism, product development, spatial layout of resources, and marketing of industrial products in Quanzhou, which provides a referable basis for Quanzhou to formulate the industrial heritage protection and development planning.

Research on High-quality Development Strategies for Cultural Tourism in Zhanjiang from the Perspective of Global Tourism

The paper follows the logical approach of "current situation analysis, experience reference, and countermeasure research". On the basis of clarifying the connotation and characteristics of comprehensive tourism, it summarizes and analyzes the successful experiences of the development of cultural and tourism industries in Qingdao and Haikou. Combined with the spatial layout of tourism resources in Zhanjiang's "One Heart, One Belt, Two Corridors, and Three Poles", it innovates the cultural and tourism management system and mechanism, and improves the top-level design of cultural and tourism development; Innovate the development strategy of the tourism industry in Zhanjiang, explore natural and cultural resources with local characteristics, and enhance the cultural heritage of tourism products; Innovate the promotion model of tourism products, actively explore new media marketing in tourism, and attach importance to the cultivation of talents in the cultural tourism industry to promote high-quality development of the cultural tourism industry in Zhanjiang.

Emergency Resource Layout Planning Methodology with Multiple Constraints

Abstract This paper first analyzes the characteristics and principles of the layout planning of emergency resources, explores the problems of emergency resource layout and distribution planning, and mentions the multi-constraint conditions of layout planning. Then, by describing the layout planning problem of emergency resources under multi-constraints and the related variable symbols, we constructed a two-layer layout planning model of emergency resources under multi-constraints, and after analyzing the particle swarm algorithm, we designed the layout planning model solving process based on particle swarm optimization. Finally, by constructing an emergency resource layout case, the centrality of the emergency resource layout network is explored, and the shortest distance and the best site selection of each emergency resource point corresponding to the demand point are divided. The results show that the structural degree centrality is between [0,0.78], the mileage degree centrality is between [0,1], the flow degree centrality is between [0.1,1], the structural median is between [0,0.32], the mileage median is between [0,2], and the structural proximity centrality and the mileage proximity centrality scores are both within the range of [0,1]. The shortest distribution distance of A, B, C, D, and E is selected to be only 393886m, and the error with the actual is around 0.009, which is able to carry out the layout planning effectively.

Construction of Multi-Level Ecological Security Pattern for World Natural Heritage Sites from the Perspective of Coupling and Coordination between Humans and Nature: A Case Study of Shilin Yi Autonomous County, China

Building ecological networks (ENs) is an important means to guarantee regional ecological security and achieve sustainable urban development. Development of ENs usually occurs at the county- or urban-area-scale, and there is a lack of linkage between ENs at different levels. Based on the systematic analysis of local environmental characteristics and ecological mechanisms of action in karst areas, the ENs at the county and urban areas levels are combined to build an ecological security pattern (ESP) for Shilin Yi Autonomous County (SYAC), a World Natural Heritage site. The results show that there are 18 Ecological resources in SYAC, with a total area of 326.512 km2 and 29 ecological corridors. In the northern part of the county, an absence of ecological resources and corridors occurred due to the fragmentation of landscape patches and poor ecological service functionality. In this study, three new ecological resources and seven corridors were added in the northern part of the county according to the patch area and landscape connectivity index (PALCI) to balance the layout of ecological resources and corridors in SYAC and improve regional habitat quality. In addition, a total of eight cultural and natural resources were identified in the urban areas of SYAC, and ten cultural and natural landscape corridors were identified. By overlaying the ENs of the county and the urban areas, we identified 3.977 km2 of Material Exchange Conversion Zone, 12.6593 km2 of Priority Restoration Zone, and ten Ecological Stepping Stones. This work helps to establish the interface between the upper and lower levels of the network, and correct for deficiencies of conflicting ecological processes at different levels, and integrate existing green-space system planning research about karst terrains.

Bayesian Neural Network-Based Demand Forecasting for Express Transportation

The rapid development of e-commerce in recent years has driven the growth of the logistics service industry, which in turn has led to a significant increase in express delivery volume. Predicting express delivery volume accurately and in advance can help companies allocate various resources reasonably and provide the basis for predicting express delivery demand. To predict the specific transport volume of XX Express Company's logistics routes on April 28th and 29th, 2023, this article builds two Bayesian prediction models based on the company's historical transportation data as the training set, one for predicting the opening of logistics routes and the other for predicting express delivery quantity. This approach reduces the impact of inaccurate predictions due to logistics routes not being opened properly and improves the accuracy of the prediction model. It provides decision support for optimizing resource layout for express delivery companies.

Assessing resource allocation based on workload: a data envelopment analysis study on clinical departments in a class a tertiary public hospital in China

ObjectiveToday, the development mode of public hospitals in China is turning from expansion to efficiency, and the management mode is turning from extensive to refined. This study aims to evaluate the efficiency of clinical departments in a Chinese class A tertiary public hospital (Hospital M) to analyze the allocation of hospital resources among these departments providing a reference for the hospital management.MethodsThe hospitalization data of inpatients from 32 clinical departments of Hospital M in 2021 are extracted from the hospital information system (HIS), and a dataset containing 38,147 inpatients is got using stratified sampling. Considering the non-homogeneity of clinical departments, the 38,147 patients are clustered using the K-means algorithm based on workload-related data labels including inpatient days, intensive care workload index, nursing workload index, and operation workload index, so that the medical resource consumption of inpatients from non-homogeneous clinical departments can be transformed into the homogeneous workload of medical staff. Taking the numbers of doctors, nurses, and beds as input indicators, and the numbers of inpatients assigned to certain clusters as output indicators, an input-oriented BCC model is built named the workload-based DEA model. Meanwhile, a control DEA model with the number of inpatients and medical revenue as output indicators is built, and the outputs of the two models are compared and analyzed.ResultsClustering of 38,147 patients into 3 categories is of better interpretability. 14 departments reach DEA efficient in the workload-based DEA model, 10 reach DEA efficient in the control DEA model, and 8 reach DEA efficient in both models. The workload-based DEA model gives a relatively rational judge on the increase of income brought by scale expansion, and evaluates some special departments like Critical Care Medicine Dept., Geriatrics Dept. and Rehabilitation Medicine Dept. more properly, which better adapts to the functional orientation of public hospitals in China.ConclusionThe design of evaluating the efficiency of non-homogeneous clinical departments with the workload as output proposed in this study is feasible, and provides a new idea to quantify professional medical human resources, which is of practical significance for public hospitals to optimize the layout of resources, to provide real-time guidance on manpower grouping strategies, and to estimate the expected output reasonably.

Adaptive distributionally robust cluster-based healthcare network design problem under an uncertain environment

County medical alliances (CMAs) in China are considered to be effective in optimizing the layout of medical resources and improving primary healthcare services. To facilitate the implementation of CMAs in multiple geographical clusters, we examine a cluster-based healthcare network design (CHND) problem with patient referral in uncapacitated and capacitated cases. Considering the uncertainty of health demand and unit referral cost, we develop adaptive distributionally robust models for the CHND problem, where the location and allocation decisions anticipate the worst-case expected patient treatment and referral cost over an ambiguity set. In terms of tractability, we reformulate the adaptive distributionally robust models as tractable forms. Further, a hybrid genetic algorithm that combines a genetic algorithm with a commercial solver is designed to improve the computational efficiency for large-scale instances. Finally, we apply our models to a real-world case in Shenzhen, China, to verify the effectiveness of the proposed algorithm and assess the value of the adaptive distributionally robust models over the corresponding robust model. The results show that our algorithm has outstanding efficiency and accuracy when compared to the hybrid particle swarm algorithm and the commercial solver. Moreover, the adaptive distributionally robust model outperforms the robust model in terms of solution quality.

Investigating the Nonlinear Relationship between Takeout Order Demand and Built Environment under Different Periods of COVID-19

The COVID-19 pandemic has hit the global restaurant business hard, especially dine-in. However, it has also provided opportunities for online dining, with takeout becoming a fulcrum for the economic resilience of the urban restaurant industry. Currently, research on the factors affecting takeout order demand under the pandemic has been inadequate. Therefore, this study uses multisource data from Nanjing to explore the changes in takeout order demand as the pandemic develops. And based on the Light gradient boosting machine (Light GBM) model, the nonlinear relationship between the built environment and order demand under different periods of pandemic is investigated, and the important factors affecting the demand are obtained. The results show that daily orders on average during COVID-19 decline by 25.6% than before COVID-19, while during the stabilization phase of the pandemic, they are 20.0% higher than before COVID-19. According to the relative importance ranking of factors in the model, land use diversity and road design influence takeout the most and the crucial influencing factors vary across pandemic periods. In the postpandemic era, special attention needs to be paid to the impact of the number of restaurants, colleges, offices, and main roads on takeout services. In addition, the thresholds of key built environment factors through partial dependency plots can enhance operators’ understanding of takeout services and provide suggestions for the spatial layout of takeout resources. While satisfying people’s dietary needs, the role of takeout in restoring the restaurant economy can be better utilized.

Analysis of the changing trend of economic burden of patients with chronic diseases under the Integrated Medical and Health Service System

BackgroundIntegrating medical resources is one of the explorations of medical mechanism reform to meet the needs of whole-cycle health management and is an important initiative in the current round of China's healthcare system reform. 2015 saw the construction of county medical communities to promote the balanced layout of medical resources, which opened a new exploration of the construction of an integrated healthcare service system in China. 2017 saw the promotion of the pilot construction of compact county medical communities in Zhejiang Province, China.ObjectiveFrom the perspective of alleviating the financial burden on those in need of health services, the characteristics of chronic disease patients' access to health care and the composition and changing curve of the medical cost burden are analyzed to provide a basis for the construction path of an integrated health care service system.MethodsA retrospective cohort study was conducted to select 5739 permanent residents who met the inclusion and exclusion criteria in Z town, H city, Zhejiang province. This population's health insurance utilization data from 2015 to 2018 were retrieved, and their average annual costs, cost composition, and health insurance payments were analyzed.ResultsThe average annual growth rates of medical insurance and out-of-pocket costs before and after the implementation of the Medical Community were 12.85% and 9.72%, respectively. The increase narrowed significantly after the construction of the Medical Community, with the ringgit growth rate dropping to 2.73% in 2018. The top three medical expenses that accounted for the highest percentage were drug, consultation, and treatment fees. The frequency of visits to primary health care consulting hospitals has increased yearly.ConclusionsBy implementing various measures to strengthen the grassroots level, patients' choice of primary care has increased year by year in the early stages of the construction of the Medical Community. From the perspective of cost control, strengthening the regulation of drugs and tests and restricting the use of high-value consumables can further reduce medical costs and ease their financial burden.

Deep Reinforcement Learning Algorithm for Latency-Oriented IIoT Resource Orchestration

Due to geographical factors and resource constraints, the traditional Internet architecture cannot meet the needs of the space–air–ground-integrated network (SAGIN) resource layout in the Industrial Internet of Things (IIoT) service. How to arrange network resources in SAGIN quickly and efficiently to meet the quality of service requirements of users has become a hot research topic in the industry. Based on the characteristics of SAGIN with multiple network segments, we convert the resource scheduling problem of SAGIN into a multidomain virtual network embedding (VNE) problem. This article proposes a latency-sensitive VNE algorithm based on deep reinforcement learning (DDRL-VNE) in the SAGIN environment. Unlike traditional latency optimization algorithms, we consider the effect of traffic size and hop count on latency when evaluating latency. We constructed a learning agent composed of a five-layer policy network and extracted a feature matrix as its training environment based on the network attributes of SAGIN. The node embedding is completed according to the probability that each node is embedded in the training, and then the breadth-first search strategy is used to complete the link embedding. The experimental results effectively illustrate the effectiveness of the algorithm in the SAGIN resource allocation problem.

Analysis of the circular economy efficiency of China's industrial wastewater and solid waste - based on a comparison before and after the 13th Five-Year Plan

The circular economy has been incorporated into China's Five-Year Plan as an important policy tool for sustainable development with the aim of resolving the conflicts among economic growth, energy shortages, and environmental pollution. This research introduces industrial waste emission and recycling indicators into the window two-stage DDF recycle model, explores industrial circular economy efficiency in 30 provinces of China from 2011 to 2019 in the two stages of production and recycle, and focuses on efficiency improvement and stability during the 13th Five-Year Plan period. The results show the following. (1) During the study period, especially during the 13th Five-Year Plan, the circular economy efficiency in most provinces is positively improved, and its improvement is more significant in the central and western provinces. (2) Production stage efficiency is higher than recycle stage efficiency. Whether measured in the overall process, the production stage, or the recycle stage. In mean efficiency, the east is better than the central, and the west is the worst. (3) In terms of efficiency stability during the policy period, the central is the most stable, the east is the second most stable, and the west is the least stable. Shanghai and Tianjin present high efficiency and high stability; Zhejiang, Anhui, and Qinghai present high efficiency, but low stability; and Ningxia, Yunnan, and Xinjiang perform poorly in terms of efficiency values and stability. (4) Each province could adapt to its own situation, accelerate the adjustment of the industrial structure, optimize the energy consumption structure, and improve the overall resource utilization efficiency and recycling efficiency. The government could tilt the resource layout towards provinces with development difficulties, and meanwhile promote efficient development of recycling policies with dividends that address regional imbalances.

Spatial Patterns Characteristics and Influencing Factors of Cultural Resources in the Yellow River National Cultural Park, China

This paper aims to analyze the spatial patterns characteristics of cultural resources within the Yellow River National Cultural Park in China. Therefore, this paper plans to use Arcgis-10.8 software to describe the spatial patterns of cultural resources within the Yellow River National Cultural Park and use Geographic detector tools to study the influence of physical geography and social and human factors on the spatial distribution pattern of cultural resources. The results indicate that: (1) the cultural resources in the Yellow River National show a spatial distribution pattern that is dense in the east and sparse in the west; (2) the spatial patterns of cultural resources within the planning scope of the Yellow River National Cultural Park are clustered, and multiple high-density areas such as south of the Shanxi province, north of the North Henan and Middle Shaanxi have formed, and the area covered by intangible cultural heritage is larger than that of tangible cultural heritage; (3) cultural resources show a “triangular” spatial distribution pattern, intangible cultural heritage shows an “N” spatial distribution pattern, and tangible cultural heritage shows an inverted “V” spatial distribution structure; (4) the influence of a single factor on the spatial distribution pattern of cultural resources is limited. The interaction of multiple factors can significantly improve explanation, and the landscape layout of cultural resources is the main factor affecting the spatial patterns of cultural resources.

A 2200-year-old document of planning history: the border city planning system in Chao Cuo’s memorials to the throne

ABSTRACT A series of memorials to the throne written by Chao Cuo (200–154 B.C.), a high-ranking official of the Western Han Dynasty (206 B.C.–A.D. 24), contained systematic thoughts and methods of border city planning, and could be regarded as a valuable 2200-year-old document of planning history. Based on the textual interpretation of the classical texts, a historical analysis method that mixes theoretical construction and empirical evidence is applied to analyse the planning thoughts and methods proposed in Chao Cuo's works, including the strategic layout of human and land resources at the territorial scale, city site selection based on natural geographical conditions, multi-scale constructions of physical space from region to residence and social governance balancing people's livelihood and military affairs. The purpose of the planning system proposed by Chao Cuo was to build cites that were suitable for both military defence and people's daily lives, so that people would settle in the frontier and form a stable military force to resist enemies. Chao's works explain a typical feature of ancient Chinese city planning as an instrument of political governance, and demonstrated the interaction between urban form and way of life.

Research on Sichuan Tourism Economic Development based on Geographic Information Big Data

In the process of Sichuan Province's transformation from a province with large tourism resources to a province with strong tourism economy, studying and understanding the spatial differences of the development level of tourism economy in the province will help to deeply understand the role of tourism in regional economic development. In the environment of big data, geographic information big data can provide technical support for the development and protection of land and space, and rational use of this technology can also play a role in the rational allocation of land and space resources to a certain extent, so as to achieve scientific planning and accurate control of land and space. The development of tourism in Sichuan Province must start with the cultivation of talents, and constantly expand the core quality of talents, so as to help talents have a high degree of harmony in tourism development. Based on geographic information big data, optimize the spatial layout of tourism resources and tourism elements, formulate effective tourism economic regulation policies, and promote the sustainable and coordinated development of tourism in Sichuan Province.

An Empirical Analysis of Inclusive Finance Support to the Development of Rural Revitalization in Linyi

This research adopts the coefficient of variation method to construct Linyi inclusive financial development index and rural revitalization index. According to the standard of international inclusive financial development level, when the inclusive financial development index is between 0 and 1, it indicates that inclusive financial development in the region is from a low level to a high level. The research finds that the degree of inclusive financial development in Linyi is different. Apart from Lanshan District, the level of inclusive financial development in other districts and counties is low, with the unstable inclusive financial development index between 0.01 and 0.15 in most years. After measuring the rural revitalization index, it is found that the Linyi's rural development is better and the regional development is more balanced. Through empirical analysis, the research comes to a conclusion that inclusive finance can effectively promote the rural revitalization in Linyi. Based on the above analysis, the paper puts forward the following suggestions: Linyi should optimize the layout of financial resources, improve the rural financial ecological environment, perfect the credit system of farmers, improve the quality of financial services, and increase the investment in agriculture, forestry and water to guide the upgrading of agricultural industry structure.

Research on the Sustainable Development of the Bistrita Ardeleana River through the Resizing of Weirs

The layout of water resources and the complex and rational use of them have an important role in the socioeconomic activities of an urban settlement. Transversal hydrotechnical constructions such as weirs reduce the longitudinal connectivity of rivers and streams, affecting river biodiversity as well as water quality. This paper presents an alternative method that will help restore connectivity. In order to choose the best solution, topographical measurements were taken with a total topographical station, and a professional drone was used to obtain an updated orthophoto plan. After processing the data obtained in the field, engineering software capable of simulating flow, sediment transport, and water quality in rivers was used. With the help of the software, two hypotheses were realized: hypothesis A, the case with only one weir in place, and hypothesis B, when we have the proposed case with the lowering of the height of the weir’s crest and the construction of three new control weirs downstream of it. In conclusion, the lowering of the current weir’s crest and the construction downstream of it of three new weirs of low height would have a favorable effect from an ecological and a morphological point of view, without very big consequences on the disturbance of the flow from a hydraulic point of view.