559 research outputs found
Tumor Microvasculature: Endothelial Leakiness and Endothelial Pore Size Distribution in a Breast Cancer Model
Tumor endothelial leakiness is quantified in a rat mammary adenocarcinoma model using dynamic contrast enhancement MRI and contrast agents of widely varying sizes. The contrast agents were constructed to be of globular configuration and have their uptake rate into tumor interstitium be driven by the same diffusion process and limited only by the availability of endothelial pores of passable size. It was observed that the endothelial pore distribution has a steep power law dependence on size, r−β, with an exponent of −4.1. The model of large pore dominance in tumor leakiness as reported in some earlier investigation with fluorescent probes and optical chamber methods is rejected for this tumor model and a number of other tumor types including chemically induced tumors. This steep power law dependence on size is also consistent with observations on human breast cancer
Internal energy of methanol clusters in supersonic molecular beams
Thesis (B.S.) in Chemistry -- University of Illinois at Urbana-Champaign, 1989.Includes bibliographical references (leaf [28])Microfiche of typescript. [Urbana, Ill.]: Photographic Services, University of Illinois, U of I Library, [1989]. 1 microfiche (38 frames): negative.s 1989 ilu n
The ITALK project : A developmental robotics approach to the study of individual, social, and linguistic learning
This is the peer reviewed version of the following article: Frank Broz et al, “The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning”, Topics in Cognitive Science, Vol 6(3): 534-544, June 2014, which has been published in final form at doi: http://dx.doi.org/10.1111/tops.12099 This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving." Copyright © 2014 Cognitive Science Society, Inc.This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the framework of human linguistic and cognitive development, we focus on how three central types of learning interact and co-develop: individual learning about one's own embodiment and the environment, social learning (learning from others), and learning of linguistic capability. Our primary concern is how these capabilities can scaffold each other's development in a continuous feedback cycle as their interactions yield increasingly sophisticated competencies in the agent's capacity to interact with others and manipulate its world. Experimental results are summarized in relation to milestones in human linguistic and cognitive development and show that the mutual scaffolding of social learning, individual learning, and linguistic capabilities creates the context, conditions, and requisites for learning in each domain. Challenges and insights identified as a result of this research program are discussed with regard to possible and actual contributions to cognitive science and language ontogeny. In conclusion, directions for future work are suggested that continue to develop this approach toward an integrated framework for understanding these mutually scaffolding processes as a basis for language development in humans and robots.Peer reviewe
Sub-collision hyperfine structure of nonlinear-optical resonance with field scanning
Some experimental evidences for methane are produced that the simple
transition from frequency scanning of nonlinear-optical resonances to magnetic
one may be accompanied with transition from sub-Doppler collisionally broadened
structure to sub-collision hyperfine one. It is conditioned by nonlinearity of
splitting of hyperfine sublevel for molecules in the adiabatically varied
magnetic field and respectively breaking the analogy of magnetic and frequency
scannings. The exact calculation of the resonance structure is considered for
molecules with only one spin subsystem. The approximately spin-additive
calculation of the structure is given for sufficiently fast rotating molecules
with greater number of spin subsystems. Within the same approximation an
example of hyperfine doubling in the magnetic and electric spectra of
nonlinear-optical resonance is considered for fluoromethane.Comment: 56 pages, 10 figures, accepted for publication in J. Mol. Spectrosc
Learning object relationships which determine the outcome of actions
Peer reviewedPublisher PD
Looking back, looking forward: Methodological challenges and future directions in research on persons with profound intellectual and multiple disabilities
Within the context of the Special Interest Research Group (SIRG) on Persons with Profound Intellectual and Multiple Disabilities (PIMD), researchers often discuss the methodological problems and challenges they are confronted with. The aim of the current article was to give an overview of these challenges. The challenges are centred on six topics. These reflect the main components of a study's design: (a) participant demarcation, (b) participant recruitment, (c) data collection and instruments, (d) data analysis, (e) ethics/including the “voice” of persons with PIMD and (f) theoretical models. Next, to describing the specific challenges, possible solutions and pathways to address them are discussed. These are illustrated by recent studies by the authors and other researchers in the field. The current contribution wants to stimulate further discussion and ex-change of ideas, and the development of creative research techniques
Beyond the Bayley: Neurocognitive Assessments of Development During Infancy and Toddlerhood
The use of global, standardized instruments is conventional among clinicians and researchers interested in assessing neurocognitive development. Exclusively relying on these tests for evaluating effects may underestimate or miss specific effects on early cognition. The goal of this review is to identify alternative measures for possible inclusion in future clinical trials and interventions evaluating early neurocognitive development. The domains included for consideration are attention, memory, executive function, language and socio-emotional development. Although domain-based tests are limited, as psychometric properties have not yet been well-established, this review includes tasks and paradigms that have been reliably used across various developmental psychology laboratories
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