662 research outputs found
Giving Credit: How Well Do Librarians Cite and Quote Their Sources?
The practice of citing references is integral to scholarship. This paper focuses on three prominent journals for library science: College and Research Libraries, Library Resources and Technical Services, and Reference and User Services Quarterly. Errors in both citations and quotations were found in all three journals, although no statistically significant differences among journals were discovered. Citation errors of less than 10 percent were found for all three journals, while in total, 30.3 percent of quotations were judged to be questionable in some way. The paper includes recommendations for authors, editors and librarians. It also recommends further study of errors in quotations, which appear more troubling than those in citations
Metrics for Graph Comparison: A Practitioner's Guide
Comparison of graph structure is a ubiquitous task in data analysis and
machine learning, with diverse applications in fields such as neuroscience,
cyber security, social network analysis, and bioinformatics, among others.
Discovery and comparison of structures such as modular communities, rich clubs,
hubs, and trees in data in these fields yields insight into the generative
mechanisms and functional properties of the graph.
Often, two graphs are compared via a pairwise distance measure, with a small
distance indicating structural similarity and vice versa. Common choices
include spectral distances (also known as distances) and distances
based on node affinities. However, there has of yet been no comparative study
of the efficacy of these distance measures in discerning between common graph
topologies and different structural scales.
In this work, we compare commonly used graph metrics and distance measures,
and demonstrate their ability to discern between common topological features
found in both random graph models and empirical datasets. We put forward a
multi-scale picture of graph structure, in which the effect of global and local
structure upon the distance measures is considered. We make recommendations on
the applicability of different distance measures to empirical graph data
problem based on this multi-scale view. Finally, we introduce the Python
library NetComp which implements the graph distances used in this work
DNA as information
This article reviews contributions to this theme issue covering the topic 'DNA as information' in relation to the structure of DNA, the measure of its information content, the role and meaning of information in biology and the origin of genetic coding as a transition from uninformed to meaningful computational processes in physical systems
Calculation of habitable dwelling surfaces : an empirical analysis for the agglomerations of Munich and Sydney
In many countries the calculation of habitable dwelling surface is characterised by a chaotic variety of calculation variants hardly comprehensible for the end user - sometimes not even reproducible for the expert. Therefore dossiers were analysed on the basis of a random choice in order to determine the method according to which the habitable dwelling surface was measured and to find out wether customers can scrutinize the calculations. The paper compares Sydney and Munich, where in both cases property prices are situated at the high end of the marke
Interdependence, Reflexivity, Fidelity, Impedance Matching, and the Evolution of Genetic Coding
Genetic coding is generally thought to have required ribozymes whose functions were taken over by polypeptide aminoacyl-tRNA synthetases (aaRS). Two discoveries about aaRS and their interactions with tRNA substrates now furnish a unifying rationale for the opposite conclusion: that the key processes of the Central Dogma of molecular biology emerged simultaneously and naturally from simple origins in a peptide•RNA partnership, eliminating the epistemological utility of a prior RNA world. First, the two aaRS classes likely arose from opposite strands of the same ancestral gene, implying a simple genetic alphabet. The resulting inversion symmetries in aaRS structural biology would have stabilized the initial and subsequent differentiation of coding specificities, rapidly promoting diversity in the proteome. Second, amino acid physical chemistry maps onto tRNA identity elements, establishing reflexive, nanoenvironmental sensing in protein aaRS. Bootstrapping of increasingly detailed coding is thus intrinsic to polypeptide aaRS, but impossible in an RNA world. These notions underline the following concepts that contradict gradual replacement of ribozymal aaRS by polypeptide aaRS: (i) aaRS enzymes must be interdependent; (ii) reflexivity intrinsic to polypeptide aaRS production dynamics promotes bootstrapping; (iii) takeover of RNA-catalyzed aminoacylation by enzymes will necessarily degrade specificity; (iv) the Central Dogma's emergence is most probable when replication and translation error rates remain comparable. These characteristics are necessary and sufficient for the essentially de novo emergence of a coupled gene-replicase-translatase system of genetic coding that would have continuously preserved the functional meaning of genetically encoded protein genes whose phylogenetic relationships match those observed today
Virtual Research Integration Collaboration: Procedural report
The aim of the project is to build a framework for the integration of basic science and clinical research to manage research lifecycles and allow for integration of scientific approaches throughout these lifecycles into the everyday work practice of the consortia that manage translational clinical research. The project will take the CORE VRE and embed it into a National centre for surgical excellence, the Royal National Orthopaedic Hospital (RNOH). The VRE will integrate both with the institutional systems and research life cycle, and with the national systems such as the National Health Service (NHS). It is our aim to integrate the CORE VRE with myExperiment to provide a set of services at RNOH to cover the four main areas of the research cycle, namely: the monitoring and governance of trials (experiment research administration); the trial protocols (experiment workflows); the publishing, dissemination and discussion on the results of trials in a repository; and the discovery of information from the repository and other resources. For this community, there are three tightly coupled areas of focus: research, clinical practice, and education (in the form of continuing professional development and training of the next generation of surgeons). In this project, our user community will be heavily involved in co-designing and codeployment of the tool set, and in particular the front end of the workbench will be user focused. The tools will need to be available to staff anywhere with the organisation, as clinicians need to be able to enter the data during clinics and directors of research need to be able to monitor the trials. This will bring with it a number of inter-operability issues, as we move data between the VRE, the hospital systems (NHS) and the institutional systems. To aid the understanding of the how the system will be used, we outline a typical ‘research cycle’ that includes the practice of a clinical specialist in orthopaedics (who may also be a Higher surgical trainee) and a basic scientist. The purpose of this is to identify time essential information provision and interaction with pervasive technologies. For new researchers one of the most difficult tasks is to learn good practice or find related experiments to learn how to instantiate the protocols; in many organisations it is often easier to repeat an experiment than to find the results of a similar previous experiment. In this abstracted model of the research lifecycle, we have split up the cycle into four main research activities. In each of these activities the different issues and stakeholders are addressed. The wider community nationally is represented by the Musculoskeletal network of Greater London, NHS, e-science, Surgical and VRE communities. It is through the Musculoskeletal network of Greater London that we will be able to co-ordinate knowledge and demonstrations to advise the community and for continuity. This project will impact on the wider academic community in the UK, initially through dissemination via organisations such as BriteNet (Tissue Engineering), The British Orthopaedic Association, British Orthopaedic Research Society, and the British Elbow and Shoulder Society as the groups tied into the consortia development
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