1,470 research outputs found
Left, Right, and the Italian Voter
Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/68230/2/10.1177_001041407100400202.pd
Quantified Self Analytics Tools for Self-regulated Learning with myPAL
One of the major challenges in higher education is developing self-regulation skills for lifelong learning. We address this challenge within the myPAL project, in medical education context, utilising the vast amount of student assessment and feedback data collected throughout the programme. The underlying principle of myPAL is Quantified Self -- the use of personal data to enable students to become lifelong learners. myPAL is facilitating this with learning analytics combined with interactive nudges. This paper reviews the state of the art in Quantified Self analytics tools to identify what approaches can be adopted in myPAL and what gaps require further research. The paper contributes to awareness and reflection in technology-enhanced learning by: (i) identifying requirements for intelligent personal adaptive learning systems that foster self-regulation (using myPAL as an example); (ii) analysing the state of the art in text analytics and visualisation related to Quantified Self for self-regulated learning; and (iii) identifying open issues and suggesting possible ways to address them
Generating mice with targeted mutations.
Journal ArticleMutational analysis is one of the most informative approaches available for the study of complex biological processes. It has been particularly successful in the analysis of the biology of bacteria, yeast, the nematode worm Caenorhabditis elegans and the fruit fly Drosophila melanogaster. Extension of this approach to the mouse, through informative, was far less successful relative to what has been achieved with these simpler model organisms. This is because it is not numerically practical in mice to use random mutagenesis to isolate mutations that affect a specified biological process of interest. Nonetheless, biological phenomena such as a sophisticated immune response, cancer, vascular disease or higher-order cognitive function, to mention just a few, must analyzed in organisms that show such phenomena, and for this reason geneticists and other researchers have turned to the mouse. Gene targeting, the means for creating mice with designed mutations in almost any gene, was developed as an alternative to the impractical use of random mutgenesis for pursing genetic analysis in the mouse. Now gene targeting has advanced the genomic manipulations possible in mice to a level that can be matched only in far simple organisms such as bacteria and yeast
Green's function for a Schroedinger operator and some related summation formulas
Summation formulas are obtained for products of associated Lagurre
polynomials by means of the Green's function K for the Hamiltonian H =
-{d^2\over dx^2} + x^2 + Ax^{-2}, A > 0. K is constructed by an application of
a Mercer type theorem that arises in connection with integral equations. The
new approach introduced in this paper may be useful for the construction of
wider classes of generating function.Comment: 14 page
Studies of hepatic synthesis in vivo of plasma proteins, including orosomucoid, transferrin, α-antitrypsin, C8, and factor B
Serum protein types were determined in eight recipients and donors in cases of hepatic homotransplantation. A change from recipient type to donor type was observed for factor B, C8, orosomucoid, haptoglobin, transferrin, α1-antitrypsin, C3 and C6, but not for Gm and Inv immunoglobulin markers. The results indicate that all the proteins studied (except immunoglobulins) are produced primarily by the liver in vivo. © 1980
Managing 100 Digital Humanities Projects: Digital scholarship and archiving in King’s Digital Lab.
During the 2016–2017 financial year, King's Digital Lab (King's College London) undertook an extensive archiving and sustainability project to ensure the ongoing management, security, and sustainability of ~100 digital humanities projects, produced over a twenty-year period. Many of these projects, including seminal publications such as Aphrodisias in Late Antiquity, Inscriptions of Roman Tripolitania, Henry III Fine Rolls, Jonathan Swift Archive, Jane Austen Manuscripts, The Gascon Rolls, The Gough Map, and Inquisitions Post Mortem, occupy important positions in the history of digital humanities. Of the projects inherited by the lab, about half are either of exceptionally high quality or seminal in other ways but almost all of them struggled with funding and technical issues that threatened their survival. By taking a holistic approach to infrastructure, and software engineering and maintenance, the lab has resolved the majority of the issues and secured the short to medium term future of the projects in its care. This article details the conceptual, procedural, and technical approaches used to achieve that, and offers policy recommendations to prevent repetition of the situation in the future
Standing in a Garden of Forking Paths
According to the Path Principle, it is permissible to expand your set of beliefs iff (and because) the evidence you possess provides adequate support for such beliefs. If there is no path from here to there, you cannot add a belief to your belief set. If some thinker with the same type of evidential support has a path that they can take, so do you. The paths exist because of the evidence you possess and the support it provides. Evidential support grounds propositional justification.
The principle is mistaken. There are permissible steps you may take that others may not even if you have the very same evidence. There are permissible steps that you cannot take that others can even if your beliefs receive the same type of evidential support. Because we have to assume almost nothing about the nature of evidential support to establish these results, we should reject evidentialism
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