The Magnetic Field in the Solar Atmosphere

This publication provides an overview of magnetic fields in the solar atmosphere with the focus lying on the corona. The solar magnetic field couples the solar interior with the visible surface of the Sun and with its atmosphere. It is also responsible for all solar activity in its numerous manifestations. Thus, dynamic phenomena such as coronal mass ejections and flares are magnetically driven. In addition, the field also plays a crucial role in heating the solar chromosphere and corona as well as in accelerating the solar wind. Our main emphasis is the magnetic field in the upper solar atmosphere so that photospheric and chromospheric magnetic structures are mainly discussed where relevant for higher solar layers. Also, the discussion of the solar atmosphere and activity is limited to those topics of direct relevance to the magnetic field. After giving a brief overview about the solar magnetic field in general and its global structure, we discuss in more detail the magnetic field in active regions, the quiet Sun and coronal holes.Comment: 109 pages, 30 Figures, to be published in A&AR

Stretching the Vitruvian Man: Investigating Affective and Representational Arts-based Methodologies Towards Theorizing a More Humanistic Model of Medicine

Westernized medicine can be said to illustrate its history and structure, as well as its current understanding of the capacity and appearance of the human through its visual representations of the body. Scientific images, this paper argues, become a site for interrogating the tangle of idealism, truth, objectivity and knowledge in how knowledge is actively used, replicated, paralleled and otherwise functions. First, asking how depictions of the medicalized body inform the epistemological foundations of medicine, and to what end, this work opens up the question of methodology, arguing that the integration of the modes of arts-based practices can bring medicine toward a much more realistic picture of the world. A parallel argument is a similarly concentrated interrogation of the affective quality of arts-based methodology, which is commonly understood to be the nucleus of work on the political dimensions of non-representational theory. I complicate the dominant scholarly preference for an ontologically rooted affect theory, finding it theoretically non-viable for art and humanistic medicine by thinking through subjectivity, autobiographical accounts of illness and epistemological flexibility. I see a path forward using a biologically and evolutionarily rooted affect theory, noting the ethical implications of its differences for a humanistic approach to medicine

Digital entrepreneurship from cellular data: How omics afford the emergence of a new wave of digital ventures in health

Data has become an indispensable input, throughput, and output for the healthcare industry. In recent years, omics technologies such as genomics and proteomics have generated vast amounts of new data at the cellular level including molecular, structural, and functional levels. Cellular data holds the potential to innovate therapeutics, vaccines, diagnostics, consumer products, or even ancestry services. However, data at the cellular level is generated with rapidly evolving omics technologies. These technologies use scientific knowledge from resource-rich environments. This raises the question of how new ventures can use cellular-level data from omics technologies to create new products and scale their business. We report on a series of interviews and a focus group discussion with entrepreneurs, investors, and data providers. By conceptualizing omics technologies as external enablers, we show how characteristics of cellular-level data negatively affect the combination mechanisms that drive venture creation and growth. We illustrate how data characteristics set boundary conditions for innovation and entrepreneurship and highlight how ventures seek to mitigate their impact

Virtual Reality Games for Motor Rehabilitation

This paper presents a fuzzy logic based method to track user satisfaction without the need for devices to monitor users physiological conditions. User satisfaction is the key to any product’s acceptance; computer applications and video games provide a unique opportunity to provide a tailored environment for each user to better suit their needs. We have implemented a non-adaptive fuzzy logic model of emotion, based on the emotional component of the Fuzzy Logic Adaptive Model of Emotion (FLAME) proposed by El-Nasr, to estimate player emotion in UnrealTournament 2004. In this paper we describe the implementation of this system and present the results of one of several play tests. Our research contradicts the current literature that suggests physiological measurements are needed. We show that it is possible to use a software only method to estimate user emotion

What scans we will read: imaging instrumentation trends in clinical oncology

Oncological diseases account for a significant portion of the burden on public healthcare systems with associated costs driven primarily by complex and long-lasting therapies. Through the visualization of patient-specific morphology and functional-molecular pathways, cancerous tissue can be detected and characterized non- invasively, so as to provide referring oncologists with essential information to support therapy management decisions. Following the onset of stand-alone anatomical and functional imaging, we witness a push towards integrating molecular image information through various methods, including anato-metabolic imaging (e.g., PET/ CT), advanced MRI, optical or ultrasound imaging. This perspective paper highlights a number of key technological and methodological advances in imaging instrumentation related to anatomical, functional, molecular medicine and hybrid imaging, that is understood as the hardware-based combination of complementary anatomical and molecular imaging. These include novel detector technologies for ionizing radiation used in CT and nuclear medicine imaging, and novel system developments in MRI and optical as well as opto-acoustic imaging. We will also highlight new data processing methods for improved non-invasive tissue characterization. Following a general introduction to the role of imaging in oncology patient management we introduce imaging methods with well-defined clinical applications and potential for clinical translation. For each modality, we report first on the status quo and point to perceived technological and methodological advances in a subsequent status go section. Considering the breadth and dynamics of these developments, this perspective ends with a critical reflection on where the authors, with the majority of them being imaging experts with a background in physics and engineering, believe imaging methods will be in a few years from now. Overall, methodological and technological medical imaging advances are geared towards increased image contrast, the derivation of reproducible quantitative parameters, an increase in volume sensitivity and a reduction in overall examination time. To ensure full translation to the clinic, this progress in technologies and instrumentation is complemented by progress in relevant acquisition and image-processing protocols and improved data analysis. To this end, we should accept diagnostic images as “data”, and – through the wider adoption of advanced analysis, including machine learning approaches and a “big data” concept – move to the next stage of non-invasive tumor phenotyping. The scans we will be reading in 10 years from now will likely be composed of highly diverse multi- dimensional data from multiple sources, which mandate the use of advanced and interactive visualization and analysis platforms powered by Artificial Intelligence (AI) for real-time data handling by cross-specialty clinical experts with a domain knowledge that will need to go beyond that of plain imaging

\u3cem\u3eAssociation for Molecular Pathology v. Myriad Genetics\u3c/em\u3e: A Critical Reassessment

The Supreme Court’s 2013 decision in Association for Molecular Pathology v. Myriad Genetics is an essential piece of the Court’s recent quartet of patent eligibility decisions, which also includes Bilski v. Kappos, Mayo v. Prometheus, and Alice v. CLS Bank. Each of these decisions has significantly shaped the contours of patent eligibility under Section 101 of the Patent Act in ways that have been both applauded and criticized. The Myriad case, however, was significant beyond its impact on Section 101 jurisprudence. It was seen, and litigated, as a case impacting patient rights, access to healthcare, scientific freedom, and human dignity. In this article, I offer a close textual analysis of the Myriad decision and respond to both its critics and supporters. I then situate Myriad within the larger context of biotechnology patenting, the commercialization of academic research, and the U.S. healthcare system. In this regard, the failure of public institutions and governmental agencies to constrain the private exploitation of publicly-funded innovations contributed as much to the healthcare access disparities highlighted by the case as the overly broad protection afforded by the Patent and Trademark Office to genetic inventions. I conclude with observations about the ways that cases like Myriad exemplify the manner in which the common law evolves, particularly in areas of rapid technological change