3,284 research outputs found
Data Processing In The Texas A & M University Library
The Texas A & M University Library embraced automation as a
way of life when it became the first library in the Southwest to employ
a Data Processing Supervisor as a full-time Library staff member in
September, 1964. The creation of such a position as part of the Library
staff was only one of several favorable circumstances which
combined to provide the necessary foundation for the achievements
outlined in this paper.
In addition to an enthusiastic University administration which
provided requested supplemental funds for a special conversion project,
the Library has access to the University's centralized data processing
facility, which is one of the largest such University installations
in the Southwest. The Data Processing Center houses an IBM
7094-1401 computer system with 14 magnetic tape drives, two separate
off-line 1401 tape systems (one with a 1404 printer), and a battery
of high speed sorters, collators, and card punches. This tremendous
hardware capability has proved to be a great asset to our automation
program.published or submitted for publicatio
The effect of lumbar extension training with and without pelvic stabilization on lumbar strength and low back pain.
Strenght training methods and the work of Arthur Jones
This article is not available through ChesterRep. It is available at http://www.asep.org/files/Smith.pdfThis paper reviews research evidence relating to the strength training advice offered by Arthur Jones, founder and retired Chairman of Nautilus Sports/Medical Industries and MedX Corporation. Jones advocated that those interested in improving their muscular size, strength, power and/or endurance should perform one set of each exercise to muscular failure (volitional fatigue), train each muscle group no more than once (or, in some cases, twice) per week, perform each exercise in a slow, controlled manner and perform a moderate number of repetitions (for most people, ~8-12). This advice is very different to the strength training guidelines offered by the National Strength and Conditioning Association, the American College of Sports Medicine and most exercise physiology textbooks. However, in contrast to the lack of scientific support for most of the recommendations made by such bodies and in such books, Jones' training advice is strongly supported by the peer-reviewed scientific literature, a statement that has recently been supported by a review of American College of Sports Medicine resistance training guidelines. Therefore, we strongly recommend Jones' methods to athletes and coaches, as they are time-efficient and optimally efficacious, and note that, given his considerable contribution to the field of strength training, academic recognition of this contribution is long overdue
Resistance Training to Momentary Muscular Failure Improves Cardiovascular Fitness in Humans: A Review of Acute Physiological Responses and Chronic Physiological Adaptations.
Resistance Training to Momentary Muscular Failure Improves Cardiovascular Fitness in Humans: A Review of Acute Physiological responses and Chronic Physiological Adaptations
The Attentional Routing Circuit: Receptive Field Modulation Through Nonlinear Dendritic Interactions
We present a model of attentional routing called the Attentional Routing Circuit (ARC) that extends an existing model of spiking neurons with dendritic nonlinearities. Specifically, we employ the Poirazi et al. (2003) pyramidal neuron in a population coding framework. ARC demonstrates that the dendritic nonlinearities can be exploited to result in selective routing, with a decrease in the number of cells needed by a factor of ~5 as compared with a linear dendrite model.

Routing of attended information occurs through the modulation of feedforward visual signals by a cortical control signal specifying the location and size of the attended target. The model is fully specified in spiking single cells. Our approach differs from past work on shifter circuits by having more efficient control, and using a more biologically detailed substrate. Our approach differs from existing models that use gain fields by providing precise hypotheses about how the control signals are generated and distributed in a hierarchical model in spiking neurons. Further, the model accounts for numerous experimental findings regarding the timing, strength and extent of attentional modulation in ventral stream areas, and the perceived contrast enhancement of attended stimuli.

To further demonstrate the plausibility of ARC, it is applied to the attention experiments of Womelsdorf et al. (2008) and tested in detail. For the simulations, the model has only two free parameters that influence its ability to match the experimental data, and without fitting, we show that it can account for the experimental observations of changes in receptive field (RF) gain and position with attention in macaques. In sum, the model provides an explanation of RF modulation as well as testable predictions about nonlinear cortical dendrites and attentional changes of receptive field properties
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