scholarly journals Optimisation of Ecological Leisure Industrial Planning Based on Improved GIS-AHP: A Case Study in Shapingba District, Chongqing, China

2019 ◽  
Vol 12 (1) ◽  
pp. 33 ◽  
Author(s):  
Tongyun Du ◽  
Henrik Vejre ◽  
Christian Fertner ◽  
Pengcheng Xiang
Keyword(s):  
River System ◽  
Global Network ◽  
Local Network ◽  
Analytic Hierarchy ◽  
Scenic Spot ◽  
Suitability Index ◽  
Artificial Environment ◽  
Industrial Planning ◽  
Leisure Industry ◽  
Industry Area

This study seeks a scientific methodology for ecological leisure industry planners to contribute to a more ecologically friendly leisure industry. This study creates an environment suitability model (LIDES) for leisure industry development. This model sees the natural ecological environment as just as important as the artificial environment. This study identifies the following factors: suitable land, unsuitable land, park plaza, scenic spot, river system, global network reachability, local network reachability, business impact, industrial impact. The Spatial Syntax method is used to account for effects of the urban road network. This method is incorporated into a geographic information system-analytic hierarchy process (GIS-AHP) approach, thus developing this method further. The method is demonstrated in the leisure industry in Shapingba District of Chongqing, China. The final suitability index map for ecological leisure industry is divided into four types: highly suitable, moderately suitable, marginally suitable, and low suitability areas. As a result, 8.08% (42.55 km2) of the study area has low suitability, 82.61% (435.15 km2) has marginal suitability, 8.62% (45.42 km2) has moderate suitability and 0.69% (3.65 km2) has the best suitability for creating an ecological leisure industry area. Discussion and relevant suggestions are given for further research.

The asymmetric effects of local and global network ties on firms’ innovation performance

2018 ◽  
Vol 33 (3) ◽  
pp. 377-389 ◽  
Author(s):  
Lei Wang ◽  
Jun Li ◽  
Shaoqing Huang
Keyword(s):  
Structural Equation ◽  
Network Effects ◽  
Institutional Environment ◽  
Innovation Performance ◽  
Global Network ◽  
Local Network ◽  
Network Ties ◽  
Content Type ◽  
Asymmetric Effects ◽  
Absorptive Capacities

Purpose The purpose of this paper is to develop and empirically test a theoretical framework examining how local network ties and global network ties affect firms’ innovation performance via their absorptive capacities. Design/methodology/approach The conceptual framework is empirically tested in a field study with multi-source data collected from a sample of 297 manufacturing firms located in four. Manufacturing clusters in the south-eastern Yangtze River Delta of China. Hypotheses were tested with the use of path analysis with maximum likelihood robust estimates through the structural equation modelling approach. Findings The asymmetry between local network ties (LNT) and global network ties (GNT) in terms of influences on firms’ innovation performance is confirmed by empirical tests. LNT not only significantly and positively contribute to firms’ innovation performance directly but also enhance it indirectly via absorptive capability, whereas GNT exhibit only marginal influence on innovation performance. GNT are shown to boost innovation performance (IP) only indirectly via firms’ absorptive capacities. Knowledge heterogeneity and the difference between domestic and multinational firms’ institutional environment are considered to be the main causes of the asymmetric effects. Originality/value While the previous literature either focused on the mediating role of firms’ knowledge absorptive capacities or investigated the effects of social networks separately, this study incorporates both mechanisms into a single analytical framework to better account for the interactions between network effects and absorptive capacities. The results challenge some previous studies positing that GNT are stronger determinants than LNT in shaping a local firm’s innovation capacity in emerging economies, and the findings emphasize the importance of absorptive capacity in helping local enterprises to leverage external linkages to enhance firm’s innovation performance.

scholarly journals GLIDE: combining local methods and diffusion state embeddings to predict missing interactions in biological networks

2020 ◽  
Vol 36 (Supplement_1) ◽  
pp. i464-i473
Author(s):  
Kapil Devkota ◽  
James M Murphy ◽  
Lenore J Cowen
Keyword(s):  
Network Structure ◽  
Biological Networks ◽  
Link Prediction ◽  
Prediction Method ◽  
Global Network ◽  
Local Network ◽  
Supplementary Information ◽  
Network Data ◽  
Ppi Network ◽  
Diffusion State

Abstract Motivation One of the core problems in the analysis of biological networks is the link prediction problem. In particular, existing interactions networks are noisy and incomplete snapshots of the true network, with many true links missing because those interactions have not yet been experimentally observed. Methods to predict missing links have been more extensively studied for social than for biological networks; it was recently argued that there is some special structure in protein–protein interaction (PPI) network data that might mean that alternate methods may outperform the best methods for social networks. Based on a generalization of the diffusion state distance, we design a new embedding-based link prediction method called global and local integrated diffusion embedding (GLIDE). GLIDE is designed to effectively capture global network structure, combined with alternative network type-specific customized measures that capture local network structure. We test GLIDE on a collection of three recently curated human biological networks derived from the 2016 DREAM disease module identification challenge as well as a classical version of the yeast PPI network in rigorous cross validation experiments. Results We indeed find that different local network structure is dominant in different types of biological networks. We find that the simple local network measures are dominant in the highly connected network core between hub genes, but that GLIDE’s global embedding measure adds value in the rest of the network. For example, we make GLIDE-based link predictions from genes known to be involved in Crohn’s disease, to genes that are not known to have an association, and make some new predictions, finding support in other network data and the literature. Availability and implementation GLIDE can be downloaded at https://bitbucket.org/kap_devkota/glide. Supplementary information Supplementary data are available at Bioinformatics online.

scholarly journals ЕARTHQUAKE NEAR CRILLON CAPE on NOVEMBER 25th, 2013 with Mw=5.2, I0=6–7 (Sakhalin Island)

2019 ◽  
pp. 466-476 ◽  
Author(s):  
E. Semenova ◽  
D. Safonov ◽  
T. Fokina
Keyword(s):  
Water Area ◽  
Sakhalin Island ◽  
Global Network ◽  
Local Network ◽  
Seismic Model ◽  
Regional Network ◽  
The South ◽  
Earthquake Parameters ◽  
Seismic Stations ◽  
Field Stations

On November 25, 2013, at 03:23 UTC, an earthquake with a magnitude of МwGCMT=5.2 was recorded in the Laperuz Strait water area. This earthquake was the strongest in the south of Sakhalin Island in 2013. Parameters of the earthquake have been determined by data of seismic stations of the regional network of GS RAS Sa-khalin branch, seismic stations of global network IRIS (GSN) and Hokkaido University. Earthquake parameters on data of regional network are in accordance with data of the international seismological centers. The intensity of concussions in some areas of Sakhalin was 4–5 points on a scale of MSK-64 and 3 points on the JMA scale on the island of Hokkaido. The focus shift has happened under conditions of close horizontal compression, seismodislocation type – uplift. The earthquake of 2013 has arisen in the place of regional tec-tonic structures contact – breaks of West Sakhalin and Central Sakhalin. The seismic model was described by data of local network of field stations. Results of observations of an earthquake on November 25, 2013 are written in this article.

scholarly journals Research on Distributed Data Sharing System based on Internet of Things and Blockchain

2021 ◽  
Vol 9 (3) ◽  
pp. 239-254
Author(s):  
Enchang Sun ◽  
Kang Meng ◽  
Ruizhe Yang ◽  
Yanhua Zhang ◽  
Meng Li
Keyword(s):  
Internet Of Things ◽  
Data Sharing ◽  
Data Storage ◽  
Network Architecture ◽  
Data Privacy ◽  
Distributed Storage ◽  
Global Network ◽  
Local Network ◽  
Network Data ◽  
Distributed Data

Abstract Aiming at the problems of the traditional centralized data sharing platform, such as poor data privacy protection ability, insufficient scalability of the system and poor interaction ability, this paper proposes a distributed data sharing system architecture based on the Internet of Things and blockchain technology. In this system, the distributed consensus mechanism of blockchain and the distributed storage technology are employed to manage the access and storage of Internet of Things data in a secure manner. Up to the physical topology of the network, a hierarchical blockchain network architecture is proposed for local network data storage and global network data sharing, which reduces networking complexity and improves the scalability of the system. In addition, smart contract and distributed machine learning are adopted to design automatic processing functions for different types of data (public or private) and supervise the data sharing process, improving both the security and interactive ability of the system.

scholarly journals Connection strength of the macaque connectome augments topological and functional network attributes

2019 ◽  
Vol 3 (4) ◽  
pp. 1051-1069 ◽  
Author(s):  
Siemon C. de Lange ◽  
Dirk Jan Ardesch ◽  
Martijn P. van den Heuvel
Keyword(s):  
Functional Organization ◽  
Kuramoto Model ◽  
Global Network ◽  
Local Network ◽  
Network Clustering ◽  
Connection Strength ◽  
Rich Club ◽  
Specific Distribution ◽  
Binary Network ◽  
Connectivity Strength

Mammalian brains constitute complex organized networks of neural projections. On top of their binary topological organization, the strength (or weight) of these neural projections can be highly variable across connections and is thus likely of additional importance to the overall topological and functional organization of the network. Here we investigated the specific distribution pattern of connection strength in the macaque connectome. We performed weighted and binary network analysis on the cortico-cortical connectivity of the macaque provided by the unique tract-tracing dataset of Markov and colleagues (2014) and observed in both analyses a small-world, modular and rich club organization. Moreover, connectivity strength showed a distribution augmenting the architecture identified in the binary network version by enhancing both local network clustering and the central infrastructure for global topological communication and integration. Functional consequences of this topological distribution were further examined using the Kuramoto model for simulating interactions between brain regions and showed that the connectivity strength distribution across connections enhances synchronization within modules and between rich club hubs. Together, our results suggest that neural pathway strength promotes topological properties in the macaque connectome for local processing and global network integration.

The Urban Ecological Sensitivity Analysis of Enshi city Based on GIS and Analytic Hierarchy Process Model

2013 ◽  
Vol 671-674 ◽  
pp. 2599-2603 ◽  
Author(s):  
Ting Huang ◽  
Sheng Gao Cheng ◽  
Zhong Xia Hu
Keyword(s):  
Analytic Hierarchy Process ◽  
Process Model ◽  
Rapid Development ◽  
Spatial Differentiation ◽  
River System ◽  
Ecological Environment ◽  
Sensitive Area ◽  
Analytic Hierarchy ◽  
Ecological Sensitivity ◽  
Hierarchy Process

With the rapid development of urbanization in China, the ecological environment is more and more seriously threatened; most cities should be focused on urban ecological environment construction and protection. In this paper, we choose the vegetation, slope, elevation, surface river system as the factors, and their weights were determined by analytic hierarchy process (AHP). Applying with GIS spatial analysis technique, the ecological sensitivity of the four factors was divided into four grades which contains high sensitive area, moderately sensitive area, low sensitive area and insensitive area areas occupied 9.43%, 36.46%, 50.61% and 3.50%. There existed a significant spatial differentiation in the ecological sensitivity of Enshi city. This study could provide scientific references for the city's environmental protection and economic development, to help its economic growth.

scholarly journals An entropic characterization of protein interaction networks and cellular robustness

2006 ◽  
Vol 3 (11) ◽  
pp. 843-850 ◽  
Author(s):  
Thomas Manke ◽  
Lloyd Demetrius ◽  
Martin Vingron
Keyword(s):  
Protein Interaction ◽  
Large Scale ◽  
Global Network ◽  
Molecular Networks ◽  
Local Network ◽  
Large Contribution ◽  
Fundamental Relation ◽  
Cellular Behaviour ◽  
Network Entropy

The structure of molecular networks is believed to determine important aspects of their cellular function, such as the organismal resilience against random perturbations. Ultimately, however, cellular behaviour is determined by the dynamical processes, which are constrained by network topology. The present work is based on a fundamental relation from dynamical systems theory, which states that the macroscopic resilience of a steady state is correlated with the uncertainty in the underlying microscopic processes, a property that can be measured by entropy. Here, we use recent network data from large-scale protein interaction screens to characterize the diversity of possible pathways in terms of network entropy. This measure has its origin in statistical mechanics and amounts to a global characterization of both structural and dynamical resilience in terms of microscopic elements. We demonstrate how this approach can be used to rank network elements according to their contribution to network entropy and also investigate how this suggested ranking reflects on the functional data provided by gene knockouts and RNAi experiments in yeast and Caenorhabditis elegans . Our analysis shows that knockouts of proteins with large contribution to network entropy are preferentially lethal. This observation is robust with respect to several possible errors and biases in the experimental data. It underscores the significance of entropy as a fundamental invariant of the dynamical system, and as a measure of structural and dynamical properties of networks. Our analytical approach goes beyond the phenomenological studies of cellular robustness based on local network observables, such as connectivity. One of its principal achievements is to provide a rationale to study proxies of cellular resilience and rank proteins according to their importance within the global network context.

Local cluster dynamics: trajectories of mature industrial districts between decline and multiple embeddedness

2006 ◽  
Vol 2 (1) ◽  
pp. 21-44 ◽  
Author(s):  
ANTONELLA ZUCCHELLA
Keyword(s):  
Theoretical Model ◽  
Global Network ◽  
Local Network ◽  
Global Markets ◽  
Industrial Districts ◽  
District Leaders ◽  
Local Cluster ◽  
International Growth ◽  
Global Space ◽  
Special Case

In this study the international trajectories of mature district evolution are investigated as a special case of institutional change, and a theoretical model for their evolution is proposed. This model is based on the idea that international growth and re-positioning represent the fundamental alternative to district sterilization and decline, in a framework where global markets provide the major pressure for change or decline but could also provide new opportunities for renewal. Alternative paths emerge from the combination of trigger events due to globalization and district leaders' behaviour: disembeddedness, re-embeddedness and multiple embeddedness are proposed here as the three main outcomes of mature district evolution. The latter constitutes a new construct introduced in this study in order to explore the possibility that districts relate themselves to global space creating similar systems abroad and/or establishing ties with existing systems, each one representing both a local network and a node of a global network.

Habitat suitability for Chilean silverside (Basilichthys microlepidotus) in the Mataquito River, Maule Region: a geospatial approach

2018 ◽  
Vol 69 (8) ◽  
pp. 1301
Author(s):  
Pablo M. Rojas Venegas ◽  
Christian D. Espinoza
Keyword(s):  
Habitat Suitability ◽  
River System ◽  
Resource Conservation ◽  
Geospatial Analysis ◽  
Lower Half ◽  
Biological Parameters ◽  
Habitat Suitability Index ◽  
Habitat Suitability Model ◽  
Analysis Tools ◽  
Suitability Index

Habitat suitability for the Chilean silverside (Basilichthys microlepidotus) in the Mataquito River, located in the Maule Region, was evaluate using geospatial analysis tools. Data were recorded in 2011 (a total of 40 fixed sampling stations) along the Mataquito River, as a result of five limnological surveys (i.e. January, March, June, August and November) in order to characterise the habitat and estimate the abundance of the Chilean silverside in the river. Preference curves were used to describe the dependence of Chilean silverside on relevant physicochemical, hydromorphological and biological parameters. The habitat suitability model showed that the combination of relevant parameters can more accurately explain the presence of a high habitat suitability index in the middle and lower sections of the river, as well as the lower half of the upper section of the Mataquito River. The habitat suitability model provides a comprehensive overall vision of hydrological–hydraulic, morphodynamic and environmental phenomena that determine the dominant habitat for Chilean silverside in the Mataquito River. Understanding the bioecological aspects of Chilean silverside and the dynamics of the Mataquito River system contributes to the establishment of policies for river resource conservation at the local and regional scales.

scholarly journals Bridging global and local topology in whole-brain networks using the network statistic jackknife

2020 ◽  
Vol 4 (1) ◽  
pp. 70-88 ◽  
Author(s):  
Teague R. Henry ◽  
Kelly A. Duffy ◽  
Marc D. Rudolph ◽  
Mary Beth Nebel ◽  
Stewart H. Mostofsky ◽  
...  
Keyword(s):  
Network Analysis ◽  
Network Structure ◽  
R Package ◽  
Brain Network ◽  
Global Network ◽  
Local Network ◽  
Network Organization ◽  
Whole Brain ◽  
Global Efficiency ◽  
Global Topology

Whole-brain network analysis is commonly used to investigate the topology of the brain using a variety of neuroimaging modalities. This approach is notable for its applicability to a large number of domains, such as understanding how brain network organization relates to cognition and behavior and examining disrupted brain network organization in disease. A benefit to this approach is the ability to summarize overall brain network organization with a single metric (e.g., global efficiency). However, important local differences in network structure might exist without any corresponding observable differences in global topology, making a whole-brain analysis strategy unlikely to detect relevant local findings. Conversely, using local network metrics can identify local differences, but are not directly informative of differences in global topology. Here, we propose the network statistic (NS) jackknife framework, a simulated lesioning method that combines the utility of global network analysis strategies with the ability to detect relevant local differences in network structure. We evaluate the NS jackknife framework with a simulation study and an empirical example comparing global efficiency in children with attention-deficit/hyperactivity disorder (ADHD) and typically developing (TD) children. The NS jackknife framework has been implemented in a public, open-source R package, netjack, available at https://cran.r-project.org/package=netjack .

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