We examined the semantic impairment for natural kinds in patients with probable Alzheimer's disease (AD) and semantic dementia (SD) using an inductive reasoning paradigm. To learn about the relationships between natural kind exemplars and how these are distinguished from manufactured artifacts, subjects judged the strength of arguments such as "Humans have a chemical called sebum. Therefore, frogs have a chemical called sebum." These judgments depend on subjects' perception of the similarity between the familiar objects named in the premise and the conclusion. Controls rated arguments generalizing from a natural kind to an artifact as significantly weaker than arguments generalizing from one natural kind to another natural kind. SD patients demonstrated a graded profile of generalization without evidence of a categorical distinction between natural kinds and artifacts. AD patients' judgments also suggested more difficulty than controls at distinguishing between natural kinds and artifacts. Both SD patients and AD patients resembled controls in their judgments of arguments where both objects are from the natural kinds category. Semantic knowledge thus appears to be sufficiently preserved in both AD and SD to support within-category similarity judgments. We suggest that SD patients may be impaired in part at identifying the features critical to diagnosing membership in a semantic category, while AD patients' performance is consistent with their semantic categorization deficit.
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http://dx.doi.org/10.1016/j.bandl.2008.01.001 | DOI Listing |
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The subject of investigating causation in ecology has been widely discussed in recent years, especially by advocates of a structural causal model (SCM) approach. Some of these advocates have criticized the use of predictive models and model selection for drawing inferences about causation. We argue that the comparison of model-based predictions with observations is a key step in hypothetico-deductive (H-D) science and remains a valid approach for assessing causation.
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Key Laboratory of Earth Exploration and Information Techniques of Ministry of Education, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
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College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 310027, China.
New types of metal-organic framework (MOF) materials have great potential in solving the current global dilemma on energy, environment, and medical care. Herein, based on two kinds of biomolecule-MOFs (Bio-MOFs) with favorable biocompatibility and degradation-reconstruction characteristics, we have established a self-powered muti-functional device to achieve an efficient and broad-spectrum environmental energy collection and biomedical applications. Combining Zn(II) and carnosine-based Zn-Car_MOF possessing a high piezoelectric response (d = 11.
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Materials Science and Technology Division, CSIR - National Institute for Interdisciplinary Science and Technology, Thiruvananthapuram 695019, Kerala, India.
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