Lehigh University

About: Lehigh University is a education organization based out in Bethlehem, Pennsylvania, United States. It is known for research contribution in the topics: Catalysis & Fracture mechanics. The organization has 12684 authors who have published 26550 publications receiving 770061 citations.

Parent and teacher ratings of attention-deficit/hyperactivity disorder symptoms: Factor structure and normative data.

Abstract: Changes in the diagnostic criteria for attention-deficit/hyperactivity disorder (ADHD) have necessitated the creation of new measures for clinical assessment. The factor structure of a parent rating scale containing the 18 symptoms of ADHD was examined in this study. Factor analyses and assessment of differences in ADHD ratings across sex, age, and ethnic group were conducted using a sample of 4666 participants ranging in age from 4 to 20 years old who attended kindergarten through 12th grade in 22 school districts across the United States. Two factors (Inattention and Hyperactivity-Impulsivity) were derived and normative data for a nationally representative sample are presented. A higher frequency of ADHD symptoms was found for boys, younger children, and African-American participants. Potential uses of this scale in clinical practice and research are discussed.

Performance of MIMO radar systems: advantages of angular diversity

Abstract: Inspired by recent advances in multiple-input multiple-output (MIMO) communications, this paper introduces the statistical MIMO radar concept. The fundamental difference between statistical MIMO and other radar array systems is that the latter seek to maximize the coherent processing gain, while statistical MIMO radar capitalizes on the diversity of target scattering to improve radar performance. Coherent processing is made possible by highly correlated signals at the receiver array, whereas in statistical MIMO radar, the signals received by the array elements are uncorrelated. It is well known that in conventional radar, slow fluctuations of the target radar cross-section (RCS) result in target fades that degrade radar performance. By spacing the antenna elements at the transmitter and at the receiver such that the target angular spread is manifested, the MIMO radar can exploit the spatial diversity of target scatterers opening the way to a variety of new techniques that can improve radar performance. In this paper, we focus on the application of the target spatial diversity to improve detection performance. The optimal detector in the Neyman-Pearson sense is developed and analyzed for the statistical MIMO radar. An optimal detector invariant to the signal and noise levels is also developed and analyzed. In this case as well, statistical MIMO radar provides great improvements over other types of array radars.

Foundational Issues in Artificial Intelligence and Cognitive Science: Impasse and Solution

Abstract: I GENERAL CRITIQUE 1 Programmatic Arguments 2 The Problem of Representation 3 Consequences of Encodingism 4 Responses to the Problems of Encodings 5 Current Criticisms of AI and Cognitive Science 6 General Consequences of the Encodingism Impasse II INTERACTIVISM: AN ALTERNATIVE TO ENCODINGISM 7 The Interactive Model 8 Implications for Foundational Mathematics III ENCODINGISM: ASSUMPTIONS AND CONSEQUENCES 9 Representation: Issues within Encodingism 10 Representation: Issues about Encodingism 11 Language 12 Learning 13 Connectionism IV SOME NOVEL ARCHITECTURES 14 Interactivism and Connectionism 15 Foundations of an Interactivist Architecture V CONCLUSIONS 16 Transcending the Impasse References Index