Cultural Capital: Challenges to New York State’s Competitive Advantages in the Arts and Entertainment Industry

This is a report on the findings of the Cornell University ILR planning process conducted with support of a grant from the Alfred P. Sloan Foundation to investigate trends in the arts and entertainment industry in New York State and assess industry stakeholders’ needs and demand for industry studies and applied research. Building on a track record of research and technical assistance to arts and entertainment organizations, Cornell ILR moved toward a long-term goal of establishing an arts and entertainment research center by forging alliances with faculty from other schools and departments in the university and by establishing an advisory committee of key players in the industry. The outcome of this planning process is a research agenda designed to serve the priority needs and interests of the arts and entertainment industry in New York State

Textual Economy through Close Coupling of Syntax and Semantics

We focus on the production of efficient descriptions of objects, actions and events. We define a type of efficiency, textual economy, that exploits the hearer's recognition of inferential links to material elsewhere within a sentence. Textual economy leads to efficient descriptions because the material that supports such inferences has been included to satisfy independent communicative goals, and is therefore overloaded in Pollack's sense. We argue that achieving textual economy imposes strong requirements on the representation and reasoning used in generating sentences. The representation must support the generator's simultaneous consideration of syntax and semantics. Reasoning must enable the generator to assess quickly and reliably at any stage how the hearer will interpret the current sentence, with its (incomplete) syntax and semantics. We show that these representational and reasoning requirements are met in the SPUD system for sentence planning and realization.Comment: 10 pages, uses QobiTree.te

3LP: a linear 3D-walking model including torso and swing dynamics

In this paper, we present a new model of biped locomotion which is composed of three linear pendulums (one per leg and one for the whole upper body) to describe stance, swing and torso dynamics. In addition to double support, this model has different actuation possibilities in the swing hip and stance ankle which could be widely used to produce different walking gaits. Without the need for numerical time-integration, closed-form solutions help finding periodic gaits which could be simply scaled in certain dimensions to modulate the motion online. Thanks to linearity properties, the proposed model can provide a computationally fast platform for model predictive controllers to predict the future and consider meaningful inequality constraints to ensure feasibility of the motion. Such property is coming from describing dynamics with joint torques directly and therefore, reflecting hardware limitations more precisely, even in the very abstract high level template space. The proposed model produces human-like torque and ground reaction force profiles and thus, compared to point-mass models, it is more promising for precise control of humanoid robots. Despite being linear and lacking many other features of human walking like CoM excursion, knee flexion and ground clearance, we show that the proposed model can predict one of the main optimality trends in human walking, i.e. nonlinear speed-frequency relationship. In this paper, we mainly focus on describing the model and its capabilities, comparing it with human data and calculating optimal human gait variables. Setting up control problems and advanced biomechanical analysis still remain for future works.Comment: Journal paper under revie

Special Libraries, February 1944

Volume 35, Issue 2https://scholarworks.sjsu.edu/sla_sl_1944/1001/thumbnail.jp

Healthy People in a Healthy Economy: A Blueprint for Action in Massachusetts

Examines the recession's effects on health and the cost of chronic disease. Suggests proven strategies for schools, municipalities, state government, payers, employers, the food industry, physicians, philanthropies, and media to promote healthy behaviors