Five models of capitalism

Besides analyzing capitalist societies historically and thinking of them in terms of phases or stages, we may compare different models or varieties of capitalism. In this paper I survey the literature on this subject, and distinguish the classification that has a production or business approach from those that use a mainly political criterion. I identify five forms of capitalism: among the rich countries, the liberal democratic or Anglo-Saxon model, the social or European model, and the endogenous social integration or Japanese model; among developing countries, I distinguish the Asian developmental model from the liberal-dependent model that characterizes most other developing countries, including Brazil.

Personal branding on social media - The characteristics of strong personal brands in Finland

The purpose of the study is to define the characteristics of strong personal brands on social media in Finland. Personal branding as a phenomenon is no longer limited to celebrities and political leaders. The digital revolution and the change in online behavior have created the need for a deeper investigation of the characteristics of strong personal brands on social media. The work of different academics on personal branding are examined to gain a comprehensive understanding on this research topic that has gone through a revolution during the last decade. Early impression management theory is refined to include elements from more modern literature related to personal branding, brand identity management and social media to create a theoretical framework that simplifies the process of personal brand building on social media. The framework consisting of three phases clarifies the process of modern personal branding. The results of the study are presented in line with three research themes derived from the theoretical framework: the background of the brand, the brand identity management and the social media behavior and activities. Mixed methods are used in the research as means to broaden perception on the subject. The quantitative part of the study defines general characteristics concerning the most follower personal brands in Finland in three social media channels – Facebook, Instagram and Twitter. The other part of the research was conducted by single case study including two Finnish personal brands cases to provide a deeper understanding of personal branding practices of strong social media personal brands. The results of the study show that the most used social media channels differ in terms of the personal brand characteristics and personal branding activities. Due to the characteristics of the channels also the post activities of the personal brands differ quite significantly. It can be also inferred that there is a difference between brands with an existing offline awareness and the brands with no awareness before joining the social media. In order to reduce the gap between the ideal brand image and the current image, the brand should have a clear vision as well as a good understanding of the target group and the value it creates for its target audience. The brand identity needs to be managed by communicating with the target audience authentically in the right channels, with relevant content. The dedication, the target group’s behavior and the ability to create valuable and relevant content determines the right tactics for social media personal branding.  

NMR studies of strong hydrogen bond to fluoride ion

Systems such as MF/diol (M = alkali metal) and }1F/carboxylic acid were subjected to IH, I9F and 13C nmr study to investigate the nature of the very strong H-bonding of fluoride ions with these systems. Evidence indicates a strong H-bond in diol-fluoride systems (~H ~ -(56) kJ mol-I) which is stronger than most 'typical' H-bonds (~H = -(12-40) kJ mol-I), but weaker than that reported for carboxylic acid-fluoride systems (~H ~ -(120) kJ mol-I). Approximate fluoride H-bonded shifts (o(OH)OHF) were evaluated for MF/diol systems from IH chemical shift measurements. No direct correlation was observed between I9F chemical shift and H-bond strength. Thermodynamic parameters were calculated from temperature dependent IH and 19F shifts. Preliminary studies of BUn 4NF-acetylacetone by I9F nmr were conducted at low temperatures and a possible Jmax (ca. 400 Hz) is reported for the fluoride ion H-bonded to acetylacetone. Highfield shift for non-protonated carbons and downfield shift for protonated carbons were observed in carboxylic acid/KF systems. Significant decreas$in I3C TI due to strong H-bonding to fluoride ions were also detected in both diol and carboxylic acid systems. Anomalous results were obtained, such as increasing NOE with increasing temperature in neat 1,2-ethanediol (values above the theoretical maximum of 1.988) and in 1,2-ethanediol/KF. The large 13C NOE's for carboxy carbons in neat carboxylic acids which are. further enhanced by the addition of KF are also unusual.

Alternative Models of Court Administration

Canadian Judicial Council

The invisibility of privilege: a critique of intersectional models of identity

In this paper, I argue that intersectionality, the prevailing way of conceptualizing the relation between axes or systems of oppression (race, class, gender), illicitly imports the very model it purports to overcome: that is, the unitary model of identity. I first define “intersectionality” and distinguish between three senses that are frequently conflated. Then I subject the model to an analytic critique, revealing its hidden presuppositions about identity. Finally, I suggest that solidarity serves as a better norm for feminist practice than inclusion of “difference,” which seems to be the norm underlying many intersectional accounts.

Computational Models of Object Recognition in Cortex: A Review

Understanding how biological visual systems perform object recognition is one of the ultimate goals in computational neuroscience. Among the biological models of recognition the main distinctions are between feedforward and feedback and between object-centered and view-centered. From a computational viewpoint the different recognition tasks - for instance categorization and identification - are very similar, representing different trade-offs between specificity and invariance. Thus the different tasks do not strictly require different classes of models. The focus of the review is on feedforward, view-based models that are supported by psychophysical and physiological data.

Jmodels: Java models of earth system regulation

The JModel suite consists of a number of models of aspects of the Earth System. They can all be run from the JModels website. They are written in the Java language for maximum portability, and are capable of running on most computing platforms including Windows, MacOS and Unix/Linux. The models are controlled via graphical user interfaces (GUI), so no knowledge of computer programming is required to run them. The models currently available from the JModels website are: Ocean phosphorus cycle Ocean nitrogen and phosphorus cycles Ocean silicon and phosphorus cycles Ocean and atmosphere carbon cycle Energy radiation balance model (under development) The main purpose of the models is to investigate how material and energy cycles of the Earth system are regulated and controlled by different feedbacks. While the central focus is on these feedbacks and Earth System stabilisation, the models can also be used in other ways. These resources have been developed by: National Oceanography Centre, Southampton project led by Toby Tyrrell and Andrew Yool, focus on how the Earth system works.

Visual Object Recognition Using Deformable Models of Vehicles

This workshop paper reports recent developments to a vision system for traffic interpretation which relies extensively on the use of geometrical and scene context. Firstly, a new approach to pose refinement is reported, based on forces derived from prominent image derivatives found close to an initial hypothesis. Secondly, a parameterised vehicle model is reported, able to represent different vehicle classes. This general vehicle model has been fitted to sample data, and subjected to a Principal Component Analysis to create a deformable model of common car types having 6 parameters. We show that the new pose recovery technique is also able to operate on the PCA model, to allow the structure of an initial vehicle hypothesis to be adapted to fit the prevailing context. We report initial experiments with the model, which demonstrate significant improvements to pose recovery.

High-resolution, unstructured meshes for hydrodynamic models of the Great Barrier Reef, Australia

Accuracy and mesh generation are key issues for the high-resolution hydrodynamic modelling of the whole Great Barrier Reef. Our objective is to generate suitable unstructured grids that can resolve topological and dynamical features like tidal jets and recirculation eddies in the wake of islands. A new strategy is suggested to refine the mesh in areas of interest taking into account the bathymetric field and an approximated distance to islands and reefs. Such a distance is obtained by solving an elliptic differential operator, with specific boundary conditions. Meshes produced illustrate both the validity and the efficiency of the adaptive strategy. Selection of refinement and geometrical parameters is discussed. (c) 2006 Elsevier Ltd. All rights reserved.

Factors influencing anthropogenic carbon dioxide uptake in the North Atlantic in models of the ocean carbon cycle

The uptake and storage of anthropogenic carbon in the North Atlantic is investigated using different configurations of ocean general circulation/carbon cycle models. We investigate how different representations of the ocean physics in the models, which represent the range of models currently in use, affect the evolution of CO2 uptake in the North Atlantic. The buffer effect of the ocean carbon system would be expected to reduce ocean CO2 uptake as the ocean absorbs increasing amounts of CO2. We find that the strength of the buffer effect is very dependent on the model ocean state, as it affects both the magnitude and timing of the changes in uptake. The timescale over which uptake of CO2 in the North Atlantic drops to below preindustrial levels is particularly sensitive to the ocean state which sets the degree of buffering; it is less sensitive to the choice of atmospheric CO2 forcing scenario. Neglecting physical climate change effects, North Atlantic CO2 uptake drops below preindustrial levels between 50 and 300 years after stabilisation of atmospheric CO2 in different model configurations. Storage of anthropogenic carbon in the North Atlantic varies much less among the different model configurations, as differences in ocean transport of dissolved inorganic carbon and uptake of CO2 compensate each other. This supports the idea that measured inventories of anthropogenic carbon in the real ocean cannot be used to constrain the surface uptake. Including physical climate change effects reduces anthropogenic CO2 uptake and storage in the North Atlantic further, due to the combined effects of surface warming, increased freshwater input, and a slowdown of the meridional overturning circulation. The timescale over which North Atlantic CO2 uptake drops to below preindustrial levels is reduced by about one-third, leading to an estimate of this timescale for the real world of about 50 years after the stabilisation of atmospheric CO2. In the climate change experiment, a shallowing of the mixed layer depths in the North Atlantic results in a significant reduction in primary production, reducing the potential role for biology in drawing down anthropogenic CO2.