scholarly journals Examining the Schelling Model Simulation through an Estimation of its Entropy

2018 ◽  
Author(s):  
Alexander V. Mantzaris ◽  
John A. Marich ◽  
Tristin W. Halfman
Keyword(s):  
Model Simulation ◽  
Adjacent Cell ◽  
General Description ◽  
Final States ◽  
Key Factor ◽  
Schelling Model ◽  
Minimum Number ◽  
State Changes ◽  
Carlo Estimate ◽  
Made In

The Schelling model of segregation allows for a general description of residential movements in an environment modeled by a lattice. The key factor is that occupants change positions until they are surrounded by a designated minimum number of similarly labeled residents. An analogy to the Ising model has been made in previous research, primarily due the assumption of state changes being dependent upon the adjacent cell positions. This allows for concepts produced in statistical mechanics to be applied to the Schelling model. Here is presented a methodology to estimate the entropy of the model for different states of the simulation. A Monte Carlo estimate is obtained for the set of macrostates defined as the different aggregate homogeneity satisfaction values across all residents, which allows for the entropy value to be produced for each state. This produces a trace of the estimated entropy value for the states of the lattice configurations to be displayed with each iteration. The results show that the initial random placements of residents have larger entropy values than the final states of the simulation when the overall homogeneity of the residential locality is increased.

scholarly journals Examining the Schelling Model Simulation through an Estimation of its Entropy

2018 ◽  
Author(s):  
Alexander V. Mantzaris ◽  
John A. Marich ◽  
Tristin W. Halfman
Keyword(s):  
Model Simulation ◽  
Adjacent Cell ◽  
General Description ◽  
Final States ◽  
Key Factor ◽  
Schelling Model ◽  
Minimum Number ◽  
State Changes ◽  
Carlo Estimate ◽  
Made In

The Schelling model of segregation allows for a general description of residential movements in an environment modeled by a lattice. The key factor is that occupants change positions until they are surrounded by a designated minimum number of similarly labeled residents. An analogy to the Ising model has been made in previous research, primarily due the assumption of state changes being dependent upon the adjacent cell positions. This allows for concepts produced in statistical mechanics to be applied to the Schelling model. Here is presented a methodology to estimate the entropy of the model for different states of the simulation. A Monte Carlo estimate is obtained for the set of macrostates defined as the different aggregate homogeneity satisfaction values across all residents, which allows for the entropy value to be produced for each state. This produces a trace of the estimated entropy value for the states of the lattice configurations to be displayed with each iteration. The results show that the initial random placements of residents have larger entropy values than the final states of the simulation when the overall homogeneity of the residential locality is increased.

scholarly journals Examining the Schelling Model Simulation through an Estimation of Its Entropy

Entropy ◽  
2018 ◽  
Vol 20 (9) ◽  
pp. 623 ◽  
Author(s):  
Alexander Mantzaris ◽  
John Marich ◽  
Tristin Halfman
Keyword(s):  
Model Simulation ◽  
Adjacent Cell ◽  
General Description ◽  
Final States ◽  
Key Factor ◽  
Schelling Model ◽  
Minimum Number ◽  
State Changes ◽  
Carlo Estimate ◽  
Made In

The Schelling model of segregation allows for a general description of residential movements in an environment modeled by a lattice. The key factor is that occupants change positions until they are surrounded by a designated minimum number of similarly labeled residents. An analogy to the Ising model has been made in previous research, primarily due the assumption of state changes being dependent upon the adjacent cell positions. This allows for concepts produced in statistical mechanics to be applied to the Schelling model. Here is presented a methodology to estimate the entropy of the model for different states of the simulation. A Monte Carlo estimate is obtained for the set of macrostates defined as the different aggregate homogeneity satisfaction values across all residents, which allows for the entropy value to be produced for each state. This produces a trace of the estimated entropy value for the states of the lattice configurations to be displayed with each iteration. The results show that the initial random placements of residents have larger entropy values than the final states of the simulation when the overall homogeneity of the residential locality is increased.

scholarly journals Diagnosis and Therapeutic Management of Liver Fibrosis by microRNA

2021 ◽  
Vol 22 (15) ◽  
pp. 8139
Author(s):  
Tomoko Tadokoro ◽  
Asahiro Morishita ◽  
Tsutomu Masaki
Keyword(s):  
Liver Fibrosis ◽  
Viral Infections ◽  
Primary Biliary Cholangitis ◽  
Medical Need ◽  
Key Factor ◽  
Complications Of Cirrhosis ◽  
And Control ◽  
Functional Rnas ◽  
Remarkable Progress ◽  
Made In

Remarkable progress has been made in the treatment and control of hepatitis B and C viral infections. However, fundamental treatments for diseases in which liver fibrosis is a key factor, such as cirrhosis, alcoholic/nonalcoholic steatohepatitis, autoimmune hepatitis, primary biliary cholangitis, and primary sclerosing cholangitis, are still under development and remain an unmet medical need. To solve this problem, it is essential to elucidate the pathogenesis of liver fibrosis in detail from a molecular and cellular perspective and to develop targeted therapeutic agents based on this information. Recently, microRNAs (miRNAs), functional RNAs of 22 nucleotides, have been shown to be involved in the pathogenesis of liver fibrosis. In addition, extracellular vesicles called “exosomes” have been attracting attention, and research is being conducted to establish noninvasive and extremely sensitive biomarkers using miRNAs in exosomes. In this review, we summarize miRNAs directly involved in liver fibrosis, miRNAs associated with diseases leading to liver fibrosis, and miRNAs related to complications of cirrhosis. We will also discuss the efficacy of each miRNA as a biomarker of liver fibrosis and pathology, and its potential application as a therapeutic agent.

scholarly journals Computational and Experimental Study on Pressure Drop in a Fluidised Bed with Different Air Distributor Designs

2020 ◽  
Vol 17 (2) ◽  
pp. 8043-8051
Author(s):  
A. S. M. Yudin ◽  
A. N. Oumer ◽  
N. F. M. Roslan ◽  
M. A. Zulkarnain
Keyword(s):  
Pressure Drop ◽  
Perforated Plate ◽  
Area Ratio ◽  
Maximum Pressure ◽  
Fluidised Bed ◽  
Key Factor ◽  
Minimum Number ◽  
Maximum Pressure Drop ◽  
Free Area ◽  
Distributor Plate

Fluidised bed combustion (FBC) has been recognised as a suitable technology for converting a wide variety of fuels into energy. In a fluidised bed, the air is passed through a bed of granular solids resting on a distributor plate. Distributor plate plays an essential role as it determines the gas-solid movement and mixing pattern in a fluidised bed. It is believed that the effect of distributor configurations such as variation of free area ratio and air inclination angle through the distributor will affect the operational pressure drop of the fluidised bed. This paper presents an investigation on pressure drop in fluidised bed without the presence of inert materials using different air distributor designs; conventional perforated plate, multi-nozzles, and two newly proposed slotted distributors (45° and 90° inclined slotted distributors). A 3-dimensional Computational Fluid Dynamics (CFD) model is developed and compared with the experimental results. The flow model is based on the incompressible isothermal RNG k-epsilon turbulent model. In the present study, systematic grid-refinement is conducted to make sure that the simulation results are independent of the computational grid size. The non-dimensional wall distance,  is examined as a key factor to verify the grid independence by comparing results obtained at different grid resolutions. The multi-nozzles distributor yields higher distributor pressure drop with the averaged maximum value of 749 Pa followed by perforated, 45° and 90° inclined distributors where the maximum pressure drop recorded to be about one-fourth of the value of the multi-nozzles pressure drop. The maximum pressure drop was associated with the higher kinetic head of the inlet air due to the restricted and minimum number of distributor openings and low free area ratio. The results suggested that low-pressure drop operation in a fluidised bed can be achieved with the increase of open area ratio of the distributor.

The Contribution of State-Owned Enterprises to Climate Change Mitigation in China

Climate Law ◽  
2017 ◽  
Vol 7 (2-3) ◽  
pp. 97-124 ◽  
Author(s):  
Benoit Mayer ◽  
Mikko Rajavuori ◽  
Mandy Meng Fang
Keyword(s):  
Greenhouse Gas ◽  
Climate Change Mitigation ◽  
Rapid Change ◽  
Greenhouse Gas Mitigation ◽  
General Description ◽  
The European Union ◽  
Socialist Market Economy ◽  
Change Mitigation ◽  
Made In ◽  
Socialist Market

China plans the implementation of a nationwide market-based mechanism for greenhouse gas mitigation, appearing thus to replicate the method used most notably in the European Union to price greenhouse gas emissions. However, China’s new mechanism represents only be the tip of the mitigation iceberg. Banking on the unique characteristics of a socialist market economy, China’s government has largely relied on State-Owned Enterprises as a tool for implementing rapid change. In this article, we discuss the role played by Chinese soes to advance the country’s ambitious mitigation objectives. After a general description of the incentives created for emission limitation and energy saving through soe supervision, we highlight the corresponding efforts made in the fossil-fuel, power-generation, and other key mitigation sectors.

PADRAM: Parametric Design and Rapid Meshing System for Complex Turbomachinery Configurations

2012 ◽  
Author(s):  
Andrea Milli ◽  
Shahrokh Shahpar
Keyword(s):  
Parametric Design ◽  
Numerical Models ◽  
Geometrical Features ◽  
Key Factor ◽  
Structured Meshes ◽  
Feature Based ◽  
Unstructured Meshing ◽  
Structured Approach ◽  
Meshing Process ◽  
Made In

This paper reports the progress made in a parametric design and rapid meshing system (PADRAM) developed under two recent UK national sponsored research programs. PADRAM is designed to parametrically change the blade geometry and rapidly generate body-conformal high-quality viscous meshes. This allows speeding up the CFD loop by making the meshing process fully automatic on the basis of pre-designed templates. The geometry parameterisation is done within the mesh generator, making its integration within the optimisation loop straightforward. The paper presents examples that demonstrate how incorporating real geometry features into PADRAM is fundamental to achieve numerical models closer to reality. This is key factor in trusting the CFD solution and making use of it to further improve current designs. It also shows that feature-based structured mesh is good for cases that need to be repeatable across sites and teams, where consistency of the mesh is crucial and quick answers required to cope with tight project deadlines. The incorporation of additional complex geometrical features limits the applicability of the template structured approach and can be sometimes at the expense of mesh quality. In this regard, novel unstructured meshing technologies have been developed and implemented into PADRAM in order to deal with non standard and complex configurations. Two of these methods are presented in this paper (i.e., Zipper Layer and Delaunay Cavity). The paper shows how these can be used to paste together various multi-block structured meshes, hence providing the most suitable meshing topology to be used for each component separately. This makes the PADRAM code a unique meshing tool, able to combine the advantages of the template-topology approach to the flexibility of fully unstructured meshes. A number of supportive examples is reported in the paper.

CONSERVATION AGRICULTURE IN THE INDOGANGETIC PLAINS OF INDIA: PAST, PRESENT AND FUTURE

2017 ◽  
Vol 55 (2) ◽  
pp. 339-357 ◽  
Author(s):  
PETER HOBBS ◽  
RAJ GUPTA ◽  
RAJ KUMAR JAT ◽  
R. K. MALIK
Keyword(s):  
Management Practices ◽  
New Technology ◽  
Conservation Agriculture ◽  
Gangetic Plains ◽  
Farmer Adoption ◽  
Key Factor ◽  
Complex Technology ◽  
Use Efficiency ◽  
On Farm ◽  
Made In

SUMMARYThis paper follows the progress made in India for research and farmer adoption of conservation agriculture (CA) since the publication of Erenstein (2012), who contested the idea that zero-till (ZT) establishment of wheat in rice–wheat systems could be further developed into full CA systems. Data presented in this paper show that research has successfully found solutions for both the wheat and rice phases of the rice–wheat systems of the Indo-Gangetic Plains (IGP) in the past 8 years. It shows that by finding solutions in both the rice and wheat phases, yields, water use efficiency and profits increased, while labour needs reduced. Indian scientists have also confirmed these benefits in participatory on-farm research in various locations, both east and west regions of the IGP. Farmers see for themselves through experimentation that they get higher yields with less cost and with more efficient use of inputs and water. A key factor has been the development of improved seed drills with the help of Indian private sector manufacturers of agricultural equipment. Indian scientists have also successfully conducted CA research on several other crops and in other regions besides the IGP. The paper shows that it is better to introduce parts of the CA management practices in a step-wise fashion first, rather than introducing the entire package at once since farmers first have to test and evaluate a new technology to understand how it benefits them personally before they will adopt it. The paper concludes that in the rice–wheat systems of South Asia, adoption of CA is indeed possible to achieve although it is still a work in progress. CA is a complex technology package and it takes time to overcome all of the contested issues mentioned in Erenstein (2012).

scholarly journals Macrophage Polarization in Metabolism and Metabolic Disease

2013 ◽  
Vol 5 (2) ◽  
pp. 81
Author(s):  
Anna Meiliana ◽  
Andi Wijaya
Keyword(s):  
Type 2 Diabetes ◽  
Chronic Inflammation ◽  
Macrophage Polarization ◽  
Alternative Activation ◽  
Transcriptional Networks ◽  
Metabolic Functions ◽  
Th2 Polarization ◽  
Key Factor ◽  
Made In

BACKGROUND: Obesity is now recognized as the main cause of the worldwide epidemic of type 2 diabetes. Obesity-associated chronic inflammation is a contributing key factor for type 2 diabetes and cardiovascular disease. Numbers of studies have clearly demonstrated that the immune system and metabolism are highly integrated.CONTENT: Macrophages are an essential component of innate immunity and play a central role in inflammation and host defense. Moreover, these cells have homeostatic functions beyond defense, including tissue remodeling in ontogenesis and orchestration of metabolic functions. Diversity and plasticity are hallmarks of cells of the monocyte-macrophage lineage. In response to interferons (IFNs), toll-like receptor (TLR), or interleukin (IL)-4/IL-13 signals, macrophages undergo M1 (classical) or M2 (alternative) activation. Progress has now been made in defining the signaling pathways, transcriptional networks, and epigenetic mechanisms underlying M1, M2 or M2-like polarized activation.SUMMARY: In response to various signals, macrophages may undergo classical M1 activation (stimulated by TLR ligands and IFN-γ) or alternative M2 activation (stimulated by IL-4/IL-13); these states mirror the T helper (Th)1–Th2 polarization of T cells. Pathology is frequently associated with dynamic changes in macrophage activation, with classically activated M1 cells implicate in initiating and sustaining inflammation, meanwhile M2 or M2-like activated cells associated with resolution or smoldering chronic inflammation. Identification of the mechanisms and molecules that are associated with macrophage plasticity and polarized activation provides a basis for macrophage centered diagnostic and therapeutic strategies.KEYWORDS: obesity, adipose tissue, inflammation, macrophage polarization

scholarly journals Return of the Hidden Number Problem.

2018 ◽  
pp. 146-168 ◽  
Author(s):  
Keegan Ryan
Keyword(s):  
Side Channel ◽  
Proof Of Concept ◽  
Private Key ◽  
Side Channels ◽  
Signature Generation ◽  
Number Problem ◽  
Minimum Number ◽  
Hidden Number Problem ◽  
State Changes ◽  
Full Proof

Side channels have long been recognized as a threat to the security of cryptographic applications. Implementations can unintentionally leak secret information through many channels, such as microarchitectural state changes in processors, changes in power consumption, or electromagnetic radiation. As a result of these threats, many implementations have been hardened to defend against these attacks. Despite these mitigations, this work presents a novel side-channel attack against ECDSA and DSA. The attack targets a common implementation pattern that is found in many cryptographic libraries. In fact, about half of the libraries that were tested exhibited the vulnerable pattern. This pattern is exploited in a full proof of concept attack against OpenSSL, demonstrating that it is possible to extract a 256-bit ECDSA private key using a simple cache attack after observing only a few thousand signatures. The target of this attack is a previously unexplored part of (EC)DSA signature generation, which explains why mitigations are lacking and the issue is so widespread. Finally, estimates are provided for the minimum number of signatures needed to perform the attack, and countermeasures are suggested to protect against this attack.

Using distributed systems in real-time control of autonomous vehicles

Robotica ◽  
2003 ◽  
Vol 21 (3) ◽  
pp. 271-281 ◽  
Author(s):  
Urbano Nunes ◽  
José Alberto Fonseca ◽  
Luís Almeida ◽  
Rui Araújo ◽  
Rodrigo Maia
Keyword(s):  
Real Time ◽  
Autonomous Vehicles ◽  
Special Focus ◽  
Real Time Control ◽  
Distributed Architectures ◽  
Time Restrictions ◽  
Time Control ◽  
Key Factor ◽  
Overall Performance ◽  
Made In

In this paper distributed architectures for autonomous vehicles are addressed, with a special emphasis on its real-time control requirements. The interconnection of the distributed intelligent subsystems is a key factor in the overall performance of the system. To better understand the interconnection requirements, the main techniques and modules of a global navigation system are described. A special focus on fieldbuses properties and major characteristics is made in order to point out some potentialities, which make them attractive in autonomous vehicles real-time applications, either in terms of reliability as in terms of real-time restrictions.

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