Using Bibliometric Analyses for Evaluating Leading Journals and Top Researchers in SoTL

Drawing on bibliometric analyses, this session explores three questions relevant to the current state of SoTL. 1) “How is scholarship currently measured?” The relative merits and limitations of three popular bibliometric databases (Web of Science, Scopus, and Google Scholar) and two specific measures (impact factor and h-index) will be explored. 2) “How does SoTL ‘measure up’ as a specific discipline?” Analyses of impact factors of SoTL journals, and discipline-specific journals and conference proceedings will be compared to metrics from other disciplines. Possible strategies to raise SoTL’s profile will be discussed. 3) “How might I proceed as a scholar?” Sample analyses of h-index measures for individuals will facilitate discussion on appropriate strategies for advancing careers with SoTL work. Participants will be able to: 1a) describe the relative coverage and basic differences between three widely used resources; 1b) describe the differences between two key measures of scholarship; 2a) discuss the standing of SoTL as a discipline as measured by impact factor; 2b) refer to a current list of SoTL conferences and journals; and, 3a) look up their own h-index in each resource as well as understand how to increase this measure

Architecture, constraints, and behavior

This paper aims to bridge progress in neuroscience involving sophisticated quantitative analysis of behavior, including the use of robust control, with other relevant conceptual and theoretical frameworks from systems engineering, systems biology, and mathematics. Familiar and accessible case studies are used to illustrate concepts of robustness, organization, and architecture (modularity and protocols) that are central to understanding complex networks. These essential organizational features are hidden during normal function of a system but are fundamental for understanding the nature, design, and function of complex biologic and technologic systems

The 1998 Fedele F. and Iris M. Fauri Lecture, University of Michigan School of Social Work

The Fedele F. and Iris M. Fauri Lecture is presented annually in recognition of former University of Michigan Vice President and School of Social Work Dean Fedele F. Fauri and his wife, Iris. Dean Fauri's leadership in the field of child welfare spanned nearly 50 years, with much of the current social welfare legislation at both state and federal levels being a product of Dean Fauri's activities, first as director of the Michigan Department of Social Services, and then during his years in Washington, DC, where he held numerous leadership positions. His accomplishments in child welfare and social work education brought national and international acclaim to Dean Fauri, the School of Social Work, and the University of Michigan. This lecture series is funded by gifts from alumni, faculty, and friends, and is intended to serve as a forum for discussing ideas and proposals to enhance the well-being of young people.The Fedele F. and Iris M. Fauri Family; School of Social Work; alumni, faculty, and friends of the School of Social Workhttp://deepblue.lib.umich.edu/bitstream/2027.42/49502/3/1998 Fauri Lecture Csete.pd

New method to detect size, timespan and flow in nanoplasmonic fusion

The differential Hanbury-Brown and Twiss analysis is widely used in astrophysics and in relativistic heavy ion physics to determine the size and timespan of emitted particles. Here we propose to adopt theis method for laser induced nanoplasmonic inertial confinement fusion. The aim is to determine the parameters of emitted Deuterium and Helium$^4$ nuclei at the ignition of the fusion target. In addition of spatial volume and timespan the method is able to detect specific space-time correlation patterns, which are connected to collective flow at ignition

Visualizing electromagnetic fields at the nanoscale by single molecule localization.

Coupling of light to the free electrons at metallic surfaces allows the confinement of electric fields to subwavelength dimensions, far below the optical diffraction limit. While this is routinely used to manipulate light at the nanoscale, in electro-optic devices and enhanced spectroscopic techniques, no characterization technique for imaging the underlying nanoscopic electromagnetic fields exists, which does not perturb the field or employ complex electron beam imaging. Here, we demonstrate the direct visualization of electromagnetic fields on patterned metallic substrates at nanometer resolution, exploiting a strong "autonomous" fluorescence-blinking behavior of single molecules within the confined fields allowing their localization. Use of DNA-constructs for precise positioning of fluorescence dyes on the surface induces this distance-dependent autonomous blinking thus completely obviating the need for exogenous agents or switching methods. Mapping such electromagnetic field distributions at nanometer resolution aids the rational design of nanometals for diverse photonic applications.We acknowledge financial support from EPSRC grant EP/G060649/1, EP/H028757/1-2, EP/I012060/1, EP/L015889/1, MRC grant MR/K015850/1 and ERC grant LINASS 320503.This is the author accepted manuscript. The final version is available from ACS at http://pubs.acs.org/doi/abs/10.1021/acs.nanolett.5b00405

Highly optimised global organisation of metabolic networks

Abstract: High-level, mathematically precise descriptions of the global organisation of complex metabolic networks are necessary for understanding the global structure of metabolic networks, the interpretation and integration of large amounts of biologic data (sequences, various -omics) and ultimately for rational design of therapies for disease processes. Metabolic networks are highly organised to execute their function efficiently while tolerating wide variation in their environment. These networks are constrained by physical requirements (e.g. conservation of energy, redox and small moieties) but are also remarkably robust and evolvable. The authors use well-known features of the stoichiometry of bacterial metabolic networks to demonstrate how network architecture facilitates such capabilities, and to develop a minimal abstract metabolism which incorporates the known features of the stoichiometry and respects the constraints on enzymes and reactions. This model shows that the essential functionality and constraints drive the tradeoffs between robustness and fragility, as well as the large-scale structure and organisation of the whole network, particularly high variability. The authors emphasise how domainspecific constraints and tradeoffs imposed by the environment are important factors in shaping stoichiometry. Importantly, the consequence of these highly organised tradeoffs and tolerances is an architecture that has a highly structured modularity that is self-dissimilar and scale-rich. Introduction Metabolic networks, which have been extensively studied for decades, are emblematic of how evolution has sculpted biologic systems for optimal function. In addition to unambiguous functional descriptions of core metabolism, this conserved network has been recently described in detail in terms of its stoichiometry (mass and energy balance). A higher level, mathematically defined description of the global organisation of complex metabolic networks is critical for a deep understanding of metabolism, from the interpretation of huge amounts of biologic data (sequences, various -omics) to design of therapies for disease processes. The stakes are high for obtaining the big picture right: biologic data plugged into a distorted model or interpreted in the context of a flawed universal law propagates misinterpretations. In flux analyses [1], stoichiometry is considered as a constraint, and fluxes are optimised to satisfy a global objective, typically growth. Previous studies, however, have not directly addressed whether the stoichiometry itself is highly optimal or organised in any sense and contributes to the origins and purpose of complexity in biological networks. Yet biochemistry textbooks describe metabolism as having evolved to be 'highly integrated' with the appearance of a 'coherent design' [2]. Here we explore both important 'design' (with no implication of a 'designer') features of metabolism and the sense in which stoichiometry itself has highly organised and optimised tolerances and tradeoffs (HOT) Basic features of metabolic networks Metabolism is essentially a linked series of chemical reactions, which function to synthesise building blocks for usable cellular components and to extract energy and reducing power from the cellular environment, in the context of total organism homeostasis. Constraints on the network are imposed by highly unpredictable intracellular and extracellular environments as well as the details of enzyme molecular structure, the cost of making enzymes and the conservation of atoms, energy and small moieties. The simplest model of metabolic networks is a stoichiometry matrix (s-matrix for short) of chemical reactions with the metabolites in rows and reactions in columns and is defined unambiguously except for permutations of rows # IEE, 200

Comparative study on the uniform energy deposition achievable via optimized plasmonic nanoresonator distributions

Plasmonic nanoresonators of core-shell composition and nanorod shape were optimized to tune their absorption cross-section maximum to the central wavelength of a short pulse. Their distribution along a pulse-length scaled target was optimized to maximize the absorptance with the criterion of minimal absorption difference in between neighbouring layers. Successive approximation of layer distributions made it possible to ensure almost uniform deposited energy distribution up until the maximal overlap of two counter-propagating pulses. Based on the larger absorptance and smaller uncertainty in absorptance and energy distribution core-shell nanoresonators override the nanorods. However, optimization of both nanoresonator distributions has potential applications, where efficient and uniform energy deposition is crucial, including phase transitions and even fusion

Calibration of dosemeters used in mammography with different X ray qualities: Euromet Project No. 526

The effect of different X ray radiation qualities on the calibration of mammographic dosemeters was investigated within the framework of a EUROMET (European Collaboration in Measurement Standards) project. The calibration coefficients for two ionization chambers and two semiconductor detectors were established in 13 dosimetry calibration laboratories for radiation qualities used in mammography. They were compared with coefficients for other radiation qualities, including those defined in ISO 4037-1, with first half value layers in the mammographic range. The results indicate that the choice of the radiation quality is not crucial for instruments with a small energy dependence of the response. However, the radiation quality has to be chosen carefully if instruments with a marked dependence of their response to the radiation energy are calibrate