Between Nodes and Edges: Possibilities and Limits of Network Analysis in Art History

This article examines a number of prominent network analysis projects in the field of art history and explores the unique promises and problems that this increasingly significant mode of analysis presents to the discipline. By bringing together projects that conceptualize art historical networks in different ways, it demonstrates how established theories and methods of art history—such as feminist and postcolonial theory—may be productively used in conjunction with quantitative/computational approaches to art historical analysis. It argues that quantitative analysis of art and its networks can expand the qualitative approaches that have traditionally defined the field, particularly if theorizing is not positioned as something to be overcome by quantifiable data, but rather regarded as a fundamental means of understanding how data is structured, examined, and visualized. Although network analysis has a great potential to reveal the significance of actors marginalized by canonical narratives of art history and track unforeseen transnational and intercommunal histories of artistic exchange, it may also paradoxically silence social hierarchies and mechanisms of marginalization, as well as historical disruptions to them, if the principles underlying the data are not interrogated from the outset. Ultimately, the article proposes much can be gained when art historians work with and through digital technologies, using critical visual analysis to examine the epistemologies which structure the network visualizations that they produce

A STUDY ON DYNAMIC SYSTEMS RESPONSE OF THE PERFORMANCE CHARACTERISTICS OF SOME MAJOR BIOPHYSICAL SYSTEMS

Dynamic responses of biophysical systems - performance characteristic

Standardized development of computer software. Part 1: Methods

This work is a two-volume set on standards for modern software engineering methodology. This volume presents a tutorial and practical guide to the efficient development of reliable computer software, a unified and coordinated discipline for design, coding, testing, documentation, and project organization and management. The aim of the monograph is to provide formal disciplines for increasing the probability of securing software that is characterized by high degrees of initial correctness, readability, and maintainability, and to promote practices which aid in the consistent and orderly development of a total software system within schedule and budgetary constraints. These disciplines are set forth as a set of rules to be applied during software development to drastically reduce the time traditionally spent in debugging, to increase documentation quality, to foster understandability among those who must come in contact with it, and to facilitate operations and alterations of the program as requirements on the program environment change

Доповнена реальність в освіті

This volume represents the proceedings of the 1st International Workshop on Augmented Reality in Education (AREdu 2018), held in Kryvyi Rih, Ukraine, in October 2, 2018. It comprises 24 contributed papers that were carefully peer-reviewed and selected from 41 submissions. The accepted papers present the state-of-the-art overview of successful cases and provides guidelines for future research.Цей том репрезентує матеріали 1-го Міжнародного семінару "Доповнена реальність в освіті" (AREdu 2018), що відбувя 2 жовтня 2018 року в м. Кривий Ріг, Україна. До нього входять 24 статті, які були ретельно переглянуті та обрані з 41 подання. У прийнятих роботах представлений найсучасніший огляд успішних випадків та окреслено напрями майбутніх досліджень

Thermophoretic Transport in Dispersions of Asymmetric Colloids and Microchannels

Temperature gradients trigged force on colloid (or fluid) is referred to as thermophoretic (thermoosmotic) force. This driven mechanism offers rich transport phenomena out of thermodynamic equilibrium. With a mesoscale hydrodynamic simulations method, this thesis focuses on thermophoretic response of colloids with geometric and compositional asymmetries, and their resulting net flows, from both fundamental mechanism and application viewpoints. Firstly, combined analytical theory and simulation, we study thermophoretic / diffusiophoretic flows and forces, and related finite size effects for spherical colloids. Local quantities such as slip flow and associated local pressure at the solid-liquid boundary layer are obtained which explicitly explain the microscopic mechanisms of thermophoresis. Then, we exploit how the particle shape influences thermophoresis. The elongated colloids exhibit an orientation dependent thermophoretic response, i.e., the anisotropic thermophoresis. We introduce a linear decomposition scheme to show and understand this anisotropic phenomenon. Quite contradictory from anisotropic friction, we realize that the thermophoretic force of a rod oriented with the temperature gradient can be larger or smaller than when oriented perpendicular to it. This transition depends not only on the geometric details of the surface, also on the colloid-solvent interaction. Then the dependence on the rod aspect ratio is studied. Later, we move our attention to the heterodimer composed of two beads with different thermophoretic properties. The resulting alignment is linearly dependent on temperature gradient and strongly relies on the size ratio. Additionally, the interacting heterodimers in a confined slit with walls are investigated in the presence of a temperature gradient. The colloids first align to the gradient due to thermophoretic torques, then accumulate at the wall. We observed the exponential decay of both positional and orientation order as the distance to the accumulation walls increases. This is reminiscent of "sedimentation-diffusion equilibrium" phenomenon. Hydrodynamic interaction in the case of phoretic heterodimers seems to be of importance when colloids are close to the wall. With an application perspective, we propose two types of micropumps which use thermophoresis as surface forcing mechanism, but with different symmetry breaking by incorporating obstacles in the middle of the microchannel. In the first micropump, the temperature gradient is applied perpendicular to the channel walls; and elongated obstacles are fixed and tilted to the gradient. This geometric asymmetry and thermophoresis enable fluid to flow along the channel. The resulting flow patterns, the magnitude, and direction of the net flux density rely on the channel geometric parameters. The flow strength, path, and direction can be tunned by the length, rugosity, and thermophobic/thermophilic properties of the obstacles. The net flow flux for obstacles with various interfacial properties can be captured by anisotropic thermophoresis. The second micropump uses fixed, metallic / non-metallic compositional obstacles aligned with the channel walls. By laser illumination, temperature gradient can be established due to the higher heat absorption in the metallic composition, which consequently leads to a net flow flux. The resultant far field flow resembles Poiseuille flow. Its pumping capability strongly depends on the length of the non-metallic part as well as the inter-separation distance of the obstacles but is only slightly dependent on the channel width. Finally, a comparison of the pumping capability between different phoretic pumps is made

Modelling Non-Equilibrium Molecular Formation and Dissociation for the Spectroscopic Analysis of Cool Stellar Atmospheres

Modelling techniques for stellar atmospheres are undergoing continuous improvement. In this thesis, I showcase how these methods are used for spectroscopic analysis and for modelling time-dependent molecular formation and dissociation. I first use CO5BOLD model atmospheres with the LINFOR3D spectrum synthesis code to determine the photospheric solar silicon abundance of 7.57 ± 0.04. This work also revealed some issues present in the cutting-edge methods, such as synthesised lines being overly broadened. Next, I constructed a chemical reaction network in order to model the time-dependent evolution of molecular species in (carbon-enhanced) metal-poor dwarf and red giant atmospheres, again using CO5 BOLD. This was to test if the assumption of chemical equi librium, widely assumed in spectroscopic studies, was still vaild in the photospheres of metal-poor stars. Indeed, the mean deviations from chemical equilibrium are below 0.2 dex across the spectroscopically relevant regions of the atmosphere, though deviations increase with height. Finally, I implemented machine learning methods in order to remove noise and line blends from spectra, as well as to predict the equilibrium state of a chemical reaction network. The methods used and developed in this thesis illustrate the importance of both conventional and machine learning modelling techniques, and merge them to further improve accuracy, precision, and efficiency

From Photography to fMRI

Hysteria, a mysterious disease known since antiquity, is said to have ceased to exist. Challenging this commonly held view, this is the first cross-disciplinary study to examine the current functional neuroimaging research into hysteria and compare it to the nineteenth-century image-based research into the same disorder. Paula Muhr's central argument is that, both in the nineteenth-century and the current neurobiological research on hysteria, images have enabled researchers to generate new medical insights. Through detailed case studies, Muhr traces how different images, from photography to functional brain scans, have reshaped the historically situated medical understanding of this disorder that defies the mind-body dualism

From Photography to fMRI

Hysteria, a mysterious disease known since antiquity, is said to have ceased to exist. Challenging this commonly held view, this is the first cross-disciplinary study to examine the current functional neuroimaging research into hysteria and compare it to the nineteenth-century image-based research into the same disorder. Paula Muhr's central argument is that, both in the nineteenth-century and the current neurobiological research on hysteria, images have enabled researchers to generate new medical insights. Through detailed case studies, Muhr traces how different images, from photography to functional brain scans, have reshaped the historically situated medical understanding of this disorder that defies the mind-body dualism

From Photography to fMRI: Epistemic Functions of Images in Medical Research on Hysteria

Hysteria, a mysterious disease known since antiquity, is said to have ceased to exist. Challenging this commonly held view, this is the first cross-disciplinary study to examine the current functional neuroimaging research into hysteria and compare it to the nineteenth-century image-based research into the same disorder. Paula Muhr's central argument is that, both in the nineteenth-century and the current neurobiological research on hysteria, images have enabled researchers to generate new medical insights. Through detailed case studies, Muhr traces how different images, from photography to functional brain scans, have reshaped the historically situated medical understanding of this disorder that defies the mind-body dualism