Global Hierarchical Structure Research Articles

Principles for Managing Burnout among Catholic Church Professionals.

While a large body of research literature has explored the assessment, treatment, and prevention of worker burnout, much less research has focused on the unique issues associated with burnout in religious organizations, especially within the Roman Catholic Church. Catholic Church employees, whether clerics or laypersons, are embedded within a 2,000-year-old global hierarchical structure and organization that is unique in that it includes clerics with vows of chastity, obedience, and often poverty as well as ongoing crises related to clerical sexual abuse scandals, significant financial stressors, and a faith tradition that often overvalues sacrifice and suffering. The purpose of this brief article is to highlight burnout issues among Roman Catholic Church employees and offer principles and strategies for recognizing, treating, and avoiding burnout among these professionals. Five key principles for burnout management as well as several case examples are also presented.

An international hierarchy of science: conquest, cooperation, and the 1959 Antarctic Treaty System

The Antarctic Treaty System (ATS), created in 1959 to govern the southern continent, is often lauded as an illustration of science’s potential to inspire peaceful and rational International Relations. This article critically examines this optimistic view of science’s role in international politics by focusing on how science as a global hierarchical structure operated as a gatekeeper to an exclusive Antarctic club. I argue that in the early 20th century, the conduct of science in Antarctica was entwined with global and imperial hierarchies. As what Mattern and Zarakol call a broad hierarchy, science worked both as a civilized marker of international status as well as a social performance that legitimated actors’ imperial interests in Antarctica. The 1959 ATS relied on science as an existing broad hierarchy to enable competing states to achieve a functional bargain and ‘freeze’ sovereignty claims, whilst at the same time institutionalizing and reinforcing the legitimacy of science in maintaining international inequalities. In making this argument, I stress the role of formal international institutions in bridging our analysis of broad and functional hierarchies while also highlighting the importance of scientific hierarchies in constituting the current international order.

«Парадипломатия» и международная экологическая политика

This paper examines the phenomenon of “paradi-plomacy” and its implementation in international environmental policy. The genesis of the studied concept is traced in the process of the academic discussion of three approaches: Soldatos/Duchacek, Der Derian, Hoking. The practical implementation of this phenomenon in the framework of the work of paradiplomatic organizations in the field of envi-ronmental policy is considered. A comparative anal-ysis of the history of development and practical ac-tivities of two international organizations: Regions4 and Northern Forum is carried out. In general, given the objective differences and unique features, one can note common challenges for such structures in the form of a lack of political opportunities and lack of financial independence. Overcoming these limita-tions seems realistic only through their evolutionary integration into the global complex system of envi-ronmental policy: cooperation of paradiplomatic organizations with the system of international insti-tutions (UN and its structures, EU, EAEU, etc.); greater subordination within the global hierarchical structure; strengthening bottom-up mechanisms so that regional representatives have the opportunity to speak out and be heard on issues of importance to them.

Dissociable Neural Systems Support the Learning and Transfer of Hierarchical Control Structure.

Humans can draw insight from previous experiences to quickly adapt to novel environments that share a common underlying structure. Here we combine functional imaging and computational modeling to identify the neural systems that support the discovery and transfer of hierarchical task structure. Human subjects (male and female) completed multiple blocks of a reinforcement learning task that contained a global hierarchical structure governing stimulus-response action mapping. First, behavioral and computational evidence showed that humans successfully discover and transfer the hierarchical rule structure embedded within the task. Next, analysis of fMRI BOLD data revealed activity across a frontoparietal network that was specifically associated with the discovery of this embedded structure. Finally, activity throughout a cingulo-opercular network supported the transfer and implementation of this discovered structure. Together, these results reveal a division of labor in which dissociable neural systems support the learning and transfer of abstract control structures.SIGNIFICANCE STATEMENT A fundamental and defining feature of human behavior is the ability to generalize knowledge from the past to support future action. Although the neural circuits underlying more direct forms of learning have been well established over the last century, we still lack a solid framework from which to investigate more abstract, higher-order human learning and knowledge generalization. We designed a novel behavioral paradigm to specifically isolate a learning process in which previous knowledge, rather than directly indicating the correct action, instead guides the search for the correct action. Moreover, we identify that this learning process is achieved via the coordinated and temporally specific activity of two prominent cognitive control brain networks.

Design of Hierarchically Cut Hinges for Highly Stretchable and Reconfigurable Metamaterials with Enhanced Strength.

Applying hierarchical cuts to thin sheets of elastomer generates super-stretchable and reconfigurable metamaterials, exhibiting highly nonlinear stress-strain behaviors and tunable phononic bandgaps. The cut concept fails on brittle thin sheets due to severe stress concentration in the rotating hinges. By engineering the local hinge shapes and global hierarchical structure, cut-based reconfigurable metamaterials with largely enhanced strength are realized.

Rethinking Knowledge Production and Circulation in Comparative and International Education: Southern Theory, Postcolonial Perspectives, and Alternative Epistemologies

Rethinking Knowledge Production and Circulation in Comparative and International Education: Southern Theory, Postcolonial Perspectives, and Alternative Epistemologies

A computational framework to emulate the human perspective in flow cytometric data analysis.

BackgroundIn recent years, intense research efforts have focused on developing methods for automated flow cytometric data analysis. However, while designing such applications, little or no attention has been paid to the human perspective that is absolutely central to the manual gating process of identifying and characterizing cell populations. In particular, the assumption of many common techniques that cell populations could be modeled reliably with pre-specified distributions may not hold true in real-life samples, which can have populations of arbitrary shapes and considerable inter-sample variation.ResultsTo address this, we developed a new framework flowScape for emulating certain key aspects of the human perspective in analyzing flow data, which we implemented in multiple steps. First, flowScape begins with creating a mathematically rigorous map of the high-dimensional flow data landscape based on dense and sparse regions defined by relative concentrations of events around modes. In the second step, these modal clusters are connected with a global hierarchical structure. This representation allows flowScape to perform ridgeline analysis for both traversing the landscape and isolating cell populations at different levels of resolution. Finally, we extended manual gating with a new capacity for constructing templates that can identify target populations in terms of their relative parameters, as opposed to the more commonly used absolute or physical parameters. This allows flowScape to apply such templates in batch mode for detecting the corresponding populations in a flexible, sample-specific manner. We also demonstrated different applications of our framework to flow data analysis and show its superiority over other analytical methods.ConclusionsThe human perspective, built on top of intuition and experience, is a very important component of flow cytometric data analysis. By emulating some of its approaches and extending these with automation and rigor, flowScape provides a flexible and robust framework for computational cytomics.

VGIS-COLLIDE: an effective collision detection algorithm for multiple objects in virtual geographic information system

Collision detection is an important component in simulation applications which are based on virtual geographic information system (VGIS). In this paper, an effective collision detection algorithm for multiple objects in VGIS, VGIS-COLLIDE, is presented. The algorithm firstly integrates existing quadtree, which is the global hierarchical structure of VGIS, with axis-aligned bounding box of object to perform the broad-phase of collision detection. After that, exact collision detection between two objects which have passed the broad-phase of collision detection is performed. The algorithm makes no assumption about input primitives or object's motion and is directly applicable to all triangulated models. It can be applicable to both rigid and deformable objects without preprocessing. The performance of the algorithm has been demonstrated in several environments consisting of a high number of objects with hundreds of thousands of triangles.

Multiresolution Shape Deformations for Meshes with Dynamic Vertex Connectivity

Multiresolution shape representation is a very effective way to decompose surface geometry into several levels of detail. Geometric modeling with such representations enables flexible modifications of the global shape while preserving the detail information. Many schemes for modeling with multiresolution decompositions based on splines, polygonal meshes and subdivision surfaces have been proposed recently. In this paper we modify the classical concept of multiresolution representation by no longer requiring a global hierarchical structure that links the different levels of detail. Instead we represent the detail information implicitly by the geometric difference between independent meshes. The detail function is evaluated by shooting rays in normal direction from one surface to the other without assuming a consistent tesselation. In the context of multiresolution shape deformation, we propose a dynamic mesh representation which adapts the connectivity during the modification in order to maintain a prescribed mesh quality. Combining the two techniques leads to an efficient mechanism which enables extreme deformations of the global shape while preventing the mesh from degenerating. During the deformation, the detail is reconstructed in a natural and robust way. The key to the intuitive detail preservation is a transformation map which associates points on the original and the modified geometry with minimum distortion. We show several examples which demonstrate the effectiveness and robustness of our approach including the editing of multiresolution models and models with texture.

A Global Predictive Control Applied to Automotive Engine Management Systems

Abstract This paper presents a global description for an efficient, robust and clearly structured control design, based on different hierarchical predictive algorithms, applied to automotive engine management systems, and well adapted to new trends as direct injection, or lean bum phases. A global hierarchical structure is presented, from local regulations to global coordination. A model based predictive controller is recommended, to reduce the cross-influences in dynamics and provide a separation of each parameter adjustments. The choice of reference models is discussed, to provide a diagnosis by the means of fast numerical simulation observers. The global performances are thus not dependent on the numerical precision, but on the structure quality of the controllers.