Morphological and biochemical T2 evaluation of cartilage repair tissue based on a hybrid double echo at steady state (DESS-T2d) approach

To use a new approach which provides, based on the widely used three-dimensional double-echo steady-state (DESS) sequence, in addition to the morphological information, the generation of biochemical T2 maps in one hybrid sequence.

From transient to steady state deformation and grain size: A thermodynamic approach using elasto-visco-plastic numerical modeling

Numerical simulation experiments give insight into the evolving energy partitioning during high-strain torsion experiments of calcite. Our numerical experiments are designed to derive a generic macroscopic grain size sensitive flow law capable of describing the full evolution from the transient regime to steady state. The transient regime is crucial for understanding the importance of micro structural processes that may lead to strain localization phenomena in deforming materials. This is particularly important in geological and geodynamic applications where the phenomenon of strain localization happens outside the time frame that can be observed under controlled laboratory conditions. Ourmethod is based on an extension of the paleowattmeter approach to the transient regime. We add an empirical hardening law using the Ramberg-Osgood approximation and assess the experiments by an evolution test function of stored over dissipated energy (lambda factor). Parameter studies of, strain hardening, dislocation creep parameter, strain rates, temperature, and lambda factor as well asmesh sensitivity are presented to explore the sensitivity of the newly derived transient/steady state flow law. Our analysis can be seen as one of the first steps in a hybrid computational-laboratory-field modeling workflow. The analysis could be improved through independent verifications by thermographic analysis in physical laboratory experiments to independently assess lambda factor evolution under laboratory conditions.

A Hybrid Model for Multimodal Brain Tumor Segmentation

We present a fully automatic segmentation method for multi-modal brain tumor segmentation. The proposed generative-discriminative hybrid model generates initial tissue probabilities, which are used subsequently for enhancing the classi�cation and spatial regularization. The model has been evaluated on the BRATS2013 training set, which includes multimodal MRI images from patients with high- and low-grade gliomas. Our method is capable of segmenting the image into healthy (GM, WM, CSF) and pathological tissue (necrotic, enhancing and non-enhancing tumor, edema). We achieved state-of-the-art performance (Dice mean values of 0.69 and 0.8 for tumor subcompartments and complete tumor respectively) within a reasonable timeframe (4 to 15 minutes).

A hybrid method for large-scale short-term scheduling of make-and-pack production processes

Due to the ongoing trend towards increased product variety, fast-moving consumer goods such as food and beverages, pharmaceuticals, and chemicals are typically manufactured through so-called make-and-pack processes. These processes consist of a make stage, a pack stage, and intermediate storage facilities that decouple these two stages. In operations scheduling, complex technological constraints must be considered, e.g., non-identical parallel processing units, sequence-dependent changeovers, batch splitting, no-wait restrictions, material transfer times, minimum storage times, and finite storage capacity. The short-term scheduling problem is to compute a production schedule such that a given demand for products is fulfilled, all technological constraints are met, and the production makespan is minimised. A production schedule typically comprises 500–1500 operations. Due to the problem size and complexity of the technological constraints, the performance of known mixed-integer linear programming (MILP) formulations and heuristic approaches is often insufficient. We present a hybrid method consisting of three phases. First, the set of operations is divided into several subsets. Second, these subsets are iteratively scheduled using a generic and flexible MILP formulation. Third, a novel critical path-based improvement procedure is applied to the resulting schedule. We develop several strategies for the integration of the MILP model into this heuristic framework. Using these strategies, high-quality feasible solutions to large-scale instances can be obtained within reasonable CPU times using standard optimisation software. We have applied the proposed hybrid method to a set of industrial problem instances and found that the method outperforms state-of-the-art methods.

Association of optical tracklets from a geosynchronous belt survey via the direct Bayesian admissible region approach

The direct Bayesian admissible region approach is an a priori state free measurement association and initial orbit determination technique for optical tracks. In this paper, we test a hybrid approach that appends a least squares estimator to the direct Bayesian method on measurements taken at the Zimmerwald Observatory of the Astronomical Institute at the University of Bern. Over half of the association pairs agreed with conventional geometric track correlation and least squares techniques. The remaining pairs cast light on the fundamental limits of conducting tracklet association based solely on dynamical and geometrical information.

An Undisclosed Story of Roses: Church, State and Nation in Contemporary Georgia

I will attempt to problematize the typologies of nationalism when applied to the Georgian context, particularly in relationship to nationalism of President Mikheil Saakashvili. I will argue that the state-driven nationalism of post-Rose Revolution government was a hybrid form of ethno-cultural and civic which had elements of ethnic particularism towards the Orthodox Church. By reflecting on the growing assistance of Western institutions to Georgia, I will problematize the extent to which the rise of American and European involvement in the region reinforced the perceptions of the “self” and the “other” among the religious elites since the Rose Revolution. By presenting field research data (interviews) gathered in 23 eparchies and perishes with religious clerics in 7 regions of Georgia, I will argue that religious nationalism in Georgia strengthened not in response to but as an outcome of President Saakashvili’s policies towards the church, and partially as a reaction to the growing dissatisfaction with Western institutions working in Georgia and Western governments’ response to the Russo-Georgian War of 2008. By reflecting on empirical material, the paper attempts to problematize an understanding of religious nationalism as a social movement, an instance of cultural autonomy and a source of identity (Friedland 2001). In response, I suggest viewing religious nationalism in post-communist Georgia as medium of material and political interests

Managing social policy under federalism: The challenges of hybrid funding and program delivery

This paper discusses generally the question of the level of government that should be used to administer different social policies. The chapter focuses on the Medicaid program, looking at recent state-level changes in health insurance for the poor and long-term care policy. Particular attention will be paid to the question of how states have used their new freedoms to outsource public insurance to the private sector and on the consequent differences in outcomes across states. Notably, this paper will be drawn from my forthcoming book “The American Myth of Markets in Social Policy” (Palgrave, MacMillan, November, 2015).

Torn between state and market: Private policy implementation and conflicting institutional logics

Policy implementation by private actors constitutes a “missing link” for understanding the implications of private governance. This paper proposes and assesses an institutional logics framework that combines a top-down, policy design approach with a bottom-up, implementation perspective on discretion. We argue that the conflicting institutional logics of the state and the market, in combination with differing degrees of goal ambiguity, accountability and hybridity play a crucial role for output performance. These arguments are analyzed based on a secondary analysis of seven case studies of private and hybrid policy implementation in diverging contexts. We find that aligning private output performance with public interests is at least partly a question of policy design congruence: private implementing actors tend to perform deficiently when the conflicting logics of the state and the market combine with weak accountability mechanisms.