Faculty Opinions recommendation of Mapping of a non-spatial dimension by the hippocampal-entorhinal circuit.

2017 ◽  
Author(s):  
Edvard I Moser ◽  
David C Rowland
Keyword(s):  
Spatial Dimension

Sharing Seoul: Appropriating Alleys as Communal Space through Localized Sharing Practices

2020 ◽  
Vol 46 (1) ◽  
pp. 99-114
Author(s):  
Im Sik Cho ◽  
Blaž Križnik
Keyword(s):  
Community Engagement ◽  
Public Space ◽  
Social Relationship ◽  
Spatial Dimension ◽  
Urban Life ◽  
Communal Life ◽  
Relationship Networks ◽  
Research Findings ◽  
Communal Space

Sharing practices are an important part of urban life. This article examines the appropriation of alleys as communal space to understand how sharing practices are embedded in localities, how communal space is constituted and maintained, and how this sustains communal life. In this way, the article aims to understand the spatial dimension of sharing practices, and the role of communal space in strengthening social relationship networks and urban sustainability. Seowon Maeul and Samdeok Maeul in Seoul are compared in terms of their urban regeneration approaches, community engagement in planning, street improvement, and the consequences that the transformation had on the appropriation of alleys as communal space. The research findings show that community engagement in planning is as important as the provision of public space if streets are to be appropriated as communal space. Community engagement has changed residents' perception and use of alleys as a shared resource in the neighbourhood by improving their capacity to act collectively and collaborate with other stakeholders in addressing problems and opportunities in cities.

The Spatial Dimension of Dual Labour Market in Korea

2017 ◽  
Vol 51 (2) ◽  
pp. 63-94
Author(s):  
Seok Hyeon Choi ◽  
Byung Ho Lee
Keyword(s):  
Labour Market ◽  
Spatial Dimension

scholarly journals Informal Land Rights and Infrastructure Retrofit: A Typology of Land Rights in Informal Settlements

Land ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 273
Author(s):  
Mahsa Mesgar ◽  
Diego Ramirez-Lovering
Keyword(s):  
Green Infrastructure ◽  
Service Providers ◽  
Informal Settlements ◽  
Land Rights ◽  
Spatial Dimension ◽  
Careful Consideration ◽  
Public Infrastructure ◽  
The Individual ◽  
The Right ◽  
Control And Management

Informal settlements represent a challenging operational context for local government service providers due to precarious contextual conditions. Location choice and land procurement for public infrastructure raise the complicated question: who has the right to occupy, control, and use a piece of land in informal settlements? There is currently a dearth of intelligence on how to identify well-located land for public infrastructure, spatially and with careful consideration for safeguarding the claimed rights and preventing conflicts. Drawing on a case study of green infrastructure retrofit in seven informal settlements in Makassar, Indonesia, we classify the informal settlers’ land rights into four types: ownership, use, control, and management. This exploratory study uses a typological approach to investigate the spatial dimension of land rights in informal settlements. We introduce non-registrable land interests and the partial, dynamic, and informal land use rights that impact the land procurement for infrastructure retrofit. We also create a simple spatial matrix describing the control/power, responsibilities and land interests of different stakeholders involved in the location decision making for public infrastructure. We argue that without sufficient understanding of non-formal land rights, land procurement proposals for the public infrastructure upgrades can be frustrated by the individual or group claims on the land, making the service provision impossible in informal settlements.

scholarly journals Geographic Information Systems and the Sustainable Development of Rural Areas

Land ◽  
2020 ◽  
Vol 10 (1) ◽  
pp. 6
Author(s):  
Krystyna Kurowksa ◽  
Renata Marks-Bielska ◽  
Stanisław Bielski ◽  
Audrius Aleknavičius ◽  
Cezary Kowalczyk
Keyword(s):  
Sustainable Development ◽  
Rural Areas ◽  
Spatial Dimension ◽  
Geographic Information ◽  
Spatial Analyses ◽  
The Sustainable Development ◽  
Main Research ◽  
Current State ◽  
Gis Tools ◽  
Political Economic

Sustainable development is socioeconomic growth that integrates political, economic, and social measures alongside environmental protection to meet the needs of communities and citizens without compromising the ability of future generations to meet their needs. The sustainable development concept was initially based on three main pillars: environment, economy, and society. In successive years, this concept has been expanded to include new pillars. The awareness of these changes has influenced our research interests. The main research objective of this study was to evaluate the applicability of geographic information system (GIS) tools (data, tools, and multidimensional analyses) to the implementation of sustainable development principles in rural areas. The study covered rural and nonurbanized areas in Poland, especially farmland, forests, fisheries, and farms. The study presents the results of our research into environmental, economic, and social determinants of growth in the spatial dimension. GIS tools continue to evolve, which improves access to information and increases database managers’ awareness that highly accurate data are needed for spatial analyses. GIS systems allow us to formulate, in a structured and formal way, models that reflect both the current state and forecast changes that will occur in space. It is a very useful tool in the sustainable development of rural areas.

scholarly journals Emergent chiral symmetry in a three-dimensional interacting Dirac liquid

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
András L. Szabó ◽  
Bitan Roy
Keyword(s):  
Fixed Points ◽  
Chiral Symmetry ◽  
Rotational Symmetry ◽  
Three Dimensional ◽  
Spatial Dimension ◽  
Dirac Fermions ◽  
Electronic Interactions ◽  
Emergent Phenomena ◽  
Ordered Phases ◽  
The Stability

Abstract We compute the effects of strong Hubbardlike local electronic interactions on three-dimensional four-component massless Dirac fermions, which in a noninteracting system possess a microscopic global U(1) ⊗ SU(2) chiral symmetry. A concrete lattice realization of such chiral Dirac excitations is presented, and the role of electron-electron interactions is studied by performing a field theoretic renormalization group (RG) analysis, controlled by a small parameter ϵ with ϵ = d−1, about the lower-critical one spatial dimension. Besides the noninteracting Gaussian fixed point, the system supports four quantum critical and four bicritical points at nonvanishing interaction couplings ∼ ϵ. Even though the chiral symmetry is absent in the interacting model, it gets restored (either partially or fully) at various RG fixed points as emergent phenomena. A representative cut of the global phase diagram displays a confluence of scalar and pseudoscalar excitonic and superconducting (such as the s-wave and p-wave) mass ordered phases, manifesting restoration of (a) chiral U(1) symmetry between two excitonic masses for repulsive interactions and (b) pseudospin SU(2) symmetry between scalar or pseudoscalar excitonic and superconducting masses for attractive interactions. Finally, we perturbatively study the effects of weak rotational symmetry breaking on the stability of various RG fixed points.

scholarly journals Renormalization group theory of molecular dynamics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Daiji Ichishima ◽  
Yuya Matsumura
Keyword(s):  
Molecular Dynamics ◽  
Renormalization Group ◽  
Critical Exponent ◽  
Computational Efficiency ◽  
Large Scale ◽  
Dissipative Particle Dynamics ◽  
Computational Cost ◽  
Coarse Graining ◽  
Spatial Dimension ◽  
Deborah Number

AbstractLarge scale computation by molecular dynamics (MD) method is often challenging or even impractical due to its computational cost, in spite of its wide applications in a variety of fields. Although the recent advancement in parallel computing and introduction of coarse-graining methods have enabled large scale calculations, macroscopic analyses are still not realizable. Here, we present renormalized molecular dynamics (RMD), a renormalization group of MD in thermal equilibrium derived by using the Migdal–Kadanoff approximation. The RMD method improves the computational efficiency drastically while retaining the advantage of MD. The computational efficiency is improved by a factor of $$2^{n(D+1)}$$ 2 n ( D + 1 ) over conventional MD where D is the spatial dimension and n is the number of applied renormalization transforms. We verify RMD by conducting two simulations; melting of an aluminum slab and collision of aluminum spheres. Both problems show that the expectation values of physical quantities are in good agreement after the renormalization, whereas the consumption time is reduced as expected. To observe behavior of RMD near the critical point, the critical exponent of the Lennard-Jones potential is extracted by calculating specific heat on the mesoscale. The critical exponent is obtained as $$\nu =0.63\pm 0.01$$ ν = 0.63 ± 0.01 . In addition, the renormalization group of dissipative particle dynamics (DPD) is derived. Renormalized DPD is equivalent to RMD in isothermal systems under the condition such that Deborah number $$De\ll 1$$ D e ≪ 1 .

scholarly journals Detecting Tourism Typologies of Regional Destinations Based on Their Spatio-Temporal and Socioeconomic Performance: A Correlation-Based Complex Network Approach for the Case of Greece

2021 ◽  
Vol 2 (1) ◽  
pp. 113-139
Author(s):  
Dimitrios Tsiotas ◽  
Thomas Krabokoukis ◽  
Serafeim Polyzos
Keyword(s):  
Network Analysis ◽  
Complex Network ◽  
Community Detection ◽  
Optimization Algorithm ◽  
Spatial Dimension ◽  
Economic Dimension ◽  
Complex Network Analysis ◽  
Time Period ◽  
Time Patterns ◽  
Spatio Temporal

Within the context that tourism-seasonality is a composite phenomenon described by temporal, geographical, and socio-economic aspects, this article develops a multilevel method for studying time patterns of tourism-seasonality in conjunction with its spatial dimension and socio-economic dimension. The study aims to classify the temporal patterns of seasonality into regional groups and to configure distinguishable seasonal profiles facilitating tourism policy and development. The study applies a multilevel pattern recognition approach incorporating time-series assessment, correlation, and complex network analysis based on community detection with the use of the modularity optimization algorithm, on data of overnight-stays recorded for the time-period 1998–2018. The analysis reveals four groups of seasonality, which are described by distinct seasonal, geographical, and socio-economic profiles. Overall, the analysis supports multidisciplinary and synthetic research in the modeling of tourism research and promotes complex network analysis in the study of socio-economic systems, by providing insights into the physical conceptualization that the community detection based on the modularity optimization algorithm can enjoy to the real-world applications.

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