334,554 Works

Online Labour Index: Measuring the Online Gig Economy for Policy and Research

Otto Kässi, Martin Hadley & Vili Lehdonvirta
Data repository for the data underlying the Online Labour Index. See http://ilabour.oii.ox.ac.uk online-labour-index/ for details.

Classical (Economics) Equilibrium and the Fractal

Blair Macdonald
Any iteration less than fractal equilibrium will result in an imperfect (snowflake) shape or incomplete knowledge or information.
Any iteration point greater fractal equilibrium will result with little added gain in information or shape - and it will come at a great cost.Quantum Mechanics, Information and Knowledge, All Aspects of Fractal Geometry and Revealed in an Understanding of Marginal Economics http://vixra.org/abs/1704.0126

Fractspansion Model

Blair Macdonald
This spreadsheet model is to complement the publication 'Fractal Geometry a Possible Explanation to the Accelerating Expansion of the Universe and Other Standard ΛCMB Model Anomalies'.

Fractspansion Model

Blair Macdonald
This spreadsheet model is to complement the publication 'Fractal Geometry a Possible Explanation to the Accelerating Expansion of the Universe and Other Standard ΛCMB Model Anomalies'.

Parallel Explanations of the Fractal and Classical Economics

Blair Macdonald
Read my working paper Quantum Mechanics, Information and Knowledge, All Aspects of Fractal Geometry and Revealed in an Understanding of Marginal Economics http://vixra.org/abs/1704.0126
For some time now I have pondered on the fractal, particularly the development the Koch Snowflake fractal. I have noticed how it uncannily demonstrates many of the key features of economic theory.
Could it be that the economy - as we experience it - is a fractal? Is it that the fractal can be...

Fractal Hubble Diagram

Blair Macdonald
Figure 12. The Fractal/Hubble diagram: recessional velocity vs. distance between triangle geometric centres points. As distance increases from a fixed observation point, the recession velocity of the points increases. u = arbitrary length unit. t = arbitrary time unit. Publication http://vixra.org/abs/1912.0222 Making Sense of the Cosmos by a Fractal Geometry Experiment

The presence of β-adrenoceptors sensitizes α-adrenoceptors to desensitization after chronic epinephrine treatment-2

Tasneem Bawa-Khalfe, Ghazi F Altememi, Chitra D Mandyam, Lindsay A Schwarz, Douglas C Eikenburg & Kelly M Standifer
Copyright information:Taken from "The presence of β-adrenoceptors sensitizes α-adrenoceptors to desensitization after chronic epinephrine treatment"http://www.biomedcentral.com/1471-2210/7/16BMC Pharmacology 2007;7():16-16.Published online 20 Dec 2007PMCID:PMC2234403.or alone () were pretreated 16–24 hr with any or all of the following: EPI (300 nM), NE (1 μM or 30 μM), EPI + Prop (30 nM), Prop (30 nM) alone or vehicle (0.1 mM ascorbate). Following pretreatment, the ability of UK14,304 to inhibit forskolin-stimulated cAMP accumulation was evaluated. ) Neither chronic EPI nor...

Adherence and invasive properties of Corynebacterium diphtheriae strains correlates with the predicted membrane-associated and secreted proteome

Vartul Sangal, Jochen Blom, Iain Sutcliffe, Christina Von Hunolstein, Andreas Burkovski & Paul Hoskisson
Abstract Background Non-toxigenic Corynebacterium diphtheriae strains are emerging as a major cause of severe pharyngitis and tonsillitis as well as invasive diseases such as endocarditis, septic arthritis, splenic abscesses and osteomyelitis. C. diphtheriae strains have been reported to vary in their ability to adhere and invade different cell lines. To identify the genetic basis of variation in the degrees of pathogenicity, we sequenced the genomes of four strains of C. diphtheriae (ISS 3319, ISS 4060,...

Gabapentin for Neuropathic Pain: An application to the 21st meeting of the WHO Expert Committee on Selection and Use of Essential Medicines for the inclusion of gabapentin on the WHO Model List of Essential Medicines

Peter Kamerman, Nanna Finnerup, Liliana De Lima, Simon Haroutonian, Srinivasa Raja, Blair Smith, Andrew Rice & Rolf-Detlef Treede
ABOUTThis repository contains all the files required to generate the application (and supporting documents) the International Association for the Study of Pain (IASP) and the International Association of Hospice and Palliative Care (IAHPC) made to the 21st meeting of the WHO Expert Committee on Selection and Use of Essential Medicines (2017) for the inclusion of gabapentin on the WHO Model List of Essential Medicines for the treatment of neuropathic pain.For a brief summary of why...

Gabapentin for Neuropathic Pain: An application to the 21st meeting of the WHO Expert Committee on Selection and Use of Essential Medicines for the inclusion of gabapentin on the WHO Model List of Essential Medicines

Peter Kamerman, Nanna Finnerup, Liliana De Lima, Simon Haroutonian, Srinivasa Raja, Blair Smith, Andrew Rice & Rolf-Detlef Treede
ABOUTThis repository contains all the files required to generate the application (and supporting documents) the International Association for the Study of Pain (IASP) and the International Association of Hospice and Palliative Care (IAHPC) made to the 21st meeting of the WHO Expert Committee on Selection and Use of Essential Medicines (2017) for the inclusion of gabapentin on the WHO Model List of Essential Medicines for the treatment of neuropathic pain.For a brief summary of why...

Spatiotemporal Modeling of Node Temperatures in Supercomputers

Curtis B. Storlie, Brian J. Reich, William N. Rust, Lawrence O. Ticknor, Amanda M. Bonnie, Andrew J. Montoya & Sarah E. Michalak
Los Alamos National Laboratory is home to many large supercomputing clusters. These clusters require an enormous amount of power (∼500–2000 kW each), and most of this energy is converted into heat. Thus, cooling the components of the supercomputer becomes a critical and expensive endeavor. Recently, a project was initiated to investigate the effect that changes to the cooling system in a machine room had on three large machines that were housed there. Coupled with this...

A Bayesian Race Model for Recognition Memory

Sungmin Kim, Kevin Potter, Peter F. Craigmile, Mario Peruggia & Trisha Van Zandt
Many psychological models use the idea of a trace, which represents a change in a person’s cognitive state that arises as a result of processing a given stimulus. These models assume that a trace is always laid down when a stimulus is processed. In addition, some of these models explain how response times (RTs) and response accuracies arise from a process in which the different traces race against each other. In this article, we present...

Randomization Inference and Sensitivity Analysis for Composite Null Hypotheses With Binary Outcomes in Matched Observational Studies

Colin B. Fogarty, Pixu Shi, Mark E. Mikkelsen & Dylan S. Small
We present methods for conducting hypothesis testing and sensitivity analyses for composite null hypotheses in matched observational studies when outcomes are binary. Causal estimands discussed include the causal risk difference, causal risk ratio, and the effect ratio. We show that inference under the assumption of no unmeasured confounding can be performed by solving an integer linear program, while inference allowing for unmeasured confounding of a given strength requires solving an integer quadratic program. Through simulation...

A Bayesian Race Model for Recognition Memory

Sungmin Kim, Kevin Potter, Peter F. Craigmile, Mario Peruggia & Trisha Van Zandt
Many psychological models use the idea of a trace, which represents a change in a person’s cognitive state that arises as a result of processing a given stimulus. These models assume that a trace is always laid down when a stimulus is processed. In addition, some of these models explain how response times (RTs) and response accuracies arise from a process in which the different traces race against each other. In this article, we present...

Partition MCMC for Inference on Acyclic Digraphs

Jack Kuipers & Giusi Moffa
Acyclic digraphs are the underlying representation of Bayesian networks, a widely used class of probabilistic graphical models. Learning the underlying graph from data is a way of gaining insights about the structural properties of a domain. Structure learning forms one of the inference challenges of statistical graphical models. Markov chain Monte Carlo (MCMC) methods, notably structure MCMC, to sample graphs from the posterior distribution given the data are probably the only viable option for Bayesian...

A Framework for Synthetic Control Methods With High-Dimensional, Micro-Level Data: Evaluating a Neighborhood-Specific Crime Intervention

Michael W. Robbins, Jessica Saunders & Beau Kilmer
The synthetic control method is an increasingly popular tool for analysis of program efficacy. Here, it is applied to a neighborhood-specific crime intervention in Roanoke, VA, and several novel contributions are made to the synthetic control toolkit. We examine high-dimensional data at a granular level (the treated area has several cases, a large number of untreated comparison cases, and multiple outcome measures). Calibration is used to develop weights that exactly match the synthetic control to...

Partition MCMC for Inference on Acyclic Digraphs

Jack Kuipers & Giusi Moffa
Acyclic digraphs are the underlying representation of Bayesian networks, a widely used class of probabilistic graphical models. Learning the underlying graph from data is a way of gaining insights about the structural properties of a domain. Structure learning forms one of the inference challenges of statistical graphical models. Markov chain Monte Carlo (MCMC) methods, notably structure MCMC, to sample graphs from the posterior distribution given the data are probably the only viable option for Bayesian...

Spatiotemporal Modeling of Node Temperatures in Supercomputers

Curtis B. Storlie, Brian J. Reich, William N. Rust, Lawrence O. Ticknor, Amanda M. Bonnie, Andrew J. Montoya & Sarah E. Michalak
Los Alamos National Laboratory is home to many large supercomputing clusters. These clusters require an enormous amount of power (∼500–2000 kW each), and most of this energy is converted into heat. Thus, cooling the components of the supercomputer becomes a critical and expensive endeavor. Recently, a project was initiated to investigate the effect that changes to the cooling system in a machine room had on three large machines that were housed there. Coupled with this...

MOESM3 of Safety, tolerability and effects on cardiometabolic risk factors of empagliflozin monotherapy in drug-naĂŻve patients with type 2 diabetes: a double-blind extension of a Phase III randomized controlled trial

Michael Roden, Ludwig Merker, Anita Christiansen, Flavien Roux, Afshin Salsali, Gabriel Kim, Peter Stella, Hans Woerle & Uli Broedl
Additional file 3: Change from baseline in diastolic blood pressure over time.

Gravitational Binding Energy and Quantum Potential (Energy of Life)

Guoliang Liu
After analyzing the gravitational binding energy of a quantum system using the virial theorem and functions of the gravitational potential (FGP), we conclude that the gravitational binding energy actually is the quantum potential energy proposed by David Bohm . The active information associated with the quantum potential can be carried by the flux of massive photons inside any microscopic or macroscopic quantum system. We propose a conservation law of entropy by introduced the concept of...

[FULL] Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

Pablo Bernabeu
This repository contains all experimental data, including every respondent's survey, the final data set in Excel or CSV format, and the analysis code in R (norms.R).The norms, which are ratings of linguistic stimuli, served a twofold purpose: first, the creation of linguistic stimuli (see also Speed & Majid, 2017), and second, a conceptual replication of Lynott and Connell's (2009, 2013) analyses. In the collection of the ratings, forty-two respondents completed surveys for the properties or...

[FULL] Modality exclusivity norms for 747 properties and concepts in Dutch: a replication of English (Bernabeu, Louwerse, & Willems, in prep.)

Pablo Bernabeu
This repository contains all experimental data, including every respondent's survey, the final data set in Excel or CSV format, and the analysis code in R (norms.R).The norms, which are ratings of linguistic stimuli, served a twofold purpose: first, the creation of linguistic stimuli (see also Speed & Majid, 2017), and second, a conceptual replication of Lynott and Connell's (2009, 2013) analyses. In the collection of the ratings, forty-two respondents completed surveys for the properties or...

Participant 5 in the WAY-EEG-GAL dataset. 328 grasp-and-lift trials with different weights and surfaces during which EEG, EMG, kinematics, and kinetics were recorded.

Matthew David Luciw, Ewa Jarocka & Benoni Edin
WAY-EEG-GAL is a dataset designed to allow critical tests of techniques to decode sensation, intention, and action from scalp EEG recordings in humans who perform a grasp-and-lift task. Twelve participants performed lifting series in which the object’s weight (165, 330, or 660g), surface friction (sandpaper, suede, or silk surface), or both, were changed unpredictably between trials, thus enforcing changes in fingertip force coordination. In each of a total of 3,936 trials, the participant was cued...

APPENDIX. A SURVEY OF NONPARAMETRIC TESTS FOR THE STATISTICAL ANALYSIS OFEVOLUTIONARY COMPUTATIONAL EXPERIMENTS

Rafael Lahoz-Beltra & C. Perales-Gravan
Supplementary material of the paper published in International Journal “Information Theories and Applications”, Vol. 17, Number 1, 2010: 49-61 One of the main problems in the statistical analysis of Evolutionary Computation (EC) experiments is the ‘statistical personality’ of data. A main feature of EC algorithms is the sampling of solutions from one generation to the next. Sampling is based on Holland’s schema theory, having a greater probability to be chosen those solutions with best-fitness (or...

evoText: Digital Humanities Meets Evolutionary Biology

Charles Pence
Researchers in science studies face a difficult conundrum. For the last three centuries, the most important outlet for the dissemination of scientific results has been the journal. Yet the sheer bulk of such literature – 6.5 million articles in the JSTOR database alone – makes it profoundly challenging to investigate, particularly if one wants to support general claims about its content. The computational tools of the digital humanities offer us one way out of this...

Registration Year

  • 2016
    334,554

Resource Types

  • Dataset
    116,735
  • Image
    86,064
  • Collection
    68,198
  • Text
    51,584
  • Audiovisual
    7,035
  • Other
    2,485
  • Software
    2,127