Seventy-five percent were unable to locate Israel on a map of the Middle East! Are you one of them? Also, check out the video that took 14 months to make, located in the top right corner of the site.

A tool to add nightlife to google maps in Amsterdam.

Set-size effects in visual search may be due to 1 or more of 3 factors: sensory processes such as lateral masking between stimuli, attentional process limiting the perception of individual stimuli, or attentional processes affecting the decision rules for combining information from multiple stimuli. These possibilities were evaluated in tasks such as searching for a longer line among shorter lines. To evaluate sensory contributions, display set-size effects were compared with cuing conditions that held sensory phenomena constant. Similar effects for the display and cue manipulations suggested that sensory processes contributed little under the conditions of this experiment. To evaluate the contribution of decision processes, the set-size effects were modeled with signal detection theory. In these models, a decision effect alone was sufficient to predict the set-size effects without any attentional limitation due to perception.

Data from 12,000 adults interviewed in the Second National Health and Nutrition Examination Survey were used to estimate intakes of vitamin E and polyunsaturated fatty acids in the United States. Although mean intakes of vitamin E were close to the recommended dietary allowance for both men and women, median intakes were considerably lower . The fruits-and-vegetables group and the fats-and-oils group each provided 20% of the vitamin E in the US diet. Increasing food choices from the fruits-and-vegetables group would provide low-fat source of vitamin E for individuals whose intakes are likely to be inadequate.

A critical component of supported competitive employment is the provision of long-term consumer assessment and systematic follow-along services. These findings are discussed in light of their implications for curriculum design and habilitation efforts for persons with mental retardation.

A review is presented of basic principles and procedures of numerical taxonomy: choice of specimens (operational taxonomic units) and characters, estimates of resemblance (coefficients of association, correlation, distance, angle and probabilistic indices), cluster techniques (linkage, central clustering, factor analysis), representation of the clustering results (dendrograms, geometric models), and hierarchy of the taxa and their nomenclature. Numerical identification methods are mentioned. Phylogenetic problems concerning numerical taxonomy and critiques of this taxonomic method are discussed.