550 research outputs found
Adine Chilton Calvin
No full textFirst wife of author, Ross Calvin. Adine Chilton Calvin died of influenza on December 18, 1918 at the age of 28. Photograph comes from the book written by Ross Calvin, "A Mystical Bride" available on New Mexico Digital Collections. NOTE: CSWR only has digital copy
Redescription of Ctenapseudes sapensis (Chilton, 1926) from the Upper Songkhla Lagoon, Thailand (Crustacea: Tanaidacea)
No full textThe parapseudid tanaidacean Ctenapseudes sapensis (Chilton, 1926) is minutely redescribed and illustrated. The species is very similar to C. chilkensis, described by the same author based on samples from the brackish Chilka Lake in India (Chilton, 1924). C. sapensis was the only apseudomorph tanaidacean found in Upper Songkhla Lagoon, southern Thailand.This species is dominant in this lagoon, and, at the same time, is a major food source for some catfishes (Osteogeneiosus militaris, Arius truncatus and Arius maculatus)
An Experimental Study of Chilton-Colburn Analogy Between Turbulent Flow and Convective Heat Transfer of Supercritical Kerosene
No full text
In this paper characteristics of turbulent flow and convective heat transfer of supercritical China RP-3 kerosene in a horizontal straight circular tube are studied experimentally and the validity of Chilton-Colburn analogy is examined. Using a three-stage heating system experiments are conducted at a fuel temperature range of 650-800 K a pressure range of 3-4 MPa and a Reynolds number range of 1 x 10(5) -3.5 x 10(5). The Nusselt number and skin friction coefficient are calculated through control volume analysis proposed in this paper. Heat transfer enhancement and deterioration were observed in the experiments as well as the similar change of skin friction coefficient. The present results show that Chilton-Colburn analogy is also valid for turbulent flow and heat transfer of supercritical kerosene in horizontal straight circular tubes.</p
Health Hazard Evaluation Determination Report No. 78-8-534: Chilton Metal Products: Chilton, Wisconsin
No full textEnvironmental and medical surveys were conducted on December 14, 1977, April 18 to 20, 1978, and May 18, 1978, to evaluate employee exposure to potentially toxic substances at Chilton Metal Products (SIC-3291) in Chilton, Wisconsin. The evaluation was requested by an authorized employee representative on behalf of the 300 affected employees. Carbon-monoxide (630080) concentrations ranged from 41 to 118 parts per million (ppm) for short term detectors and from 25 to 106ppm for long term detectors, exceeding the 50ppm OSHA standard. Chlorodifluoromethane (75456) (Freon-22) concentrations ranged from 2,906 to 3,146ppm, exceeding the American Conference of Governmental Industrial Hygienist standard of 1,000ppm. All other environmental samples were below their respective criteria. The author concludes that workers are exposed to hazardous concentrations of carbon-monoxide. The Freon-22 concentrations present a potential exposure hazard. The author recommends that exposure to carbon-monoxide be reduced through conversion of gasoline powered lift trucks to low pressure gas or the use of catalytic converters, that the ventilation system be modified, that an exhaust ventilation system be completed at the bottled gas filling apparatus, and that present exhaust ventilation systems be changed. [Description provided by NIOSH
Seaweed : a Web-based interface for designing simple economic games
No full textThesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2009.Includes bibliographical references (p. 60-61).Seaweed is a web application for experimental economists with no programming background to design two-player symmetric games in a visual-oriented interface. Games are automatically published to the web where players can play against each other remotely and game play is logged so that the game's designer can analyze the data. Seaweed's interface draws heavily on interface features of Microsoft PowerPoint'" and ExcelTM, which experimental economists are familiar with. The design and implementation challenge in Seaweed is to provide an end user programming environment that creates games responsive to events and controlled by logic without the designer understanding programming concepts such as events and synchronization, or being burdened by specifying low-level programming detail. Seaweed achieves this by providing high-level visual representations for variables, control flow, and logic, and by automating behaviors for event handling, synchronization, and function evaluation. Seaweed contributes a end-user programming tool for economists, as well as generalizable designs for representing programming concepts visually. It also demonstrates that Amazon's Mechanical Turk is a viable platform for forming partnerships between people and paying them to perform cooperative tasks in real-time, cheaply and with high through put.by Lydia B. Chilton.M.Eng
Medical men, masculine respectability, and the contest for power in mid-nineteenth century Quebec
No full textThe author examines the five official investigations into Quebec City's Marine and Emigrant Hospital between 1839 and 1853, largely instigated by doctors, some of whom worked at the hospital. She found that the resulting inquiries' documentation, open letters and memoirs provide a rich source of information about doctors' contests for power, representations of self and others, and everyday life in Quebec City's medical community at mid-nineteenth century. The author focuses on three medical doctors associated with the hospital of that era -- James Douglas (1800-1886), William Marsden (1807-1885), and Joseph Painchaud (178701871). She points out that these three doctors recorded characterizations of each other as ethnically and religiously suspect, inherently corrupt, and untrustworthy in their positions of authority
TurKit: Tools for iterative tasks on mechanical Turk
No full textMechanical Turk (MTurk) is an increasingly popular web service for paying people small rewards to do human computation tasks. Current uses of MTurk typically post independent parallel tasks. We are exploring an alternative iterative paradigm, in which workers build on or evaluate each other's work. We describe TurKit, a new toolkit for deploying iterative tasks to MTurk, with a familiar imperative programming paradigm that effectively uses MTurk workers as subroutines.National Science Foundation (U.S.). (Grant number IIS-0447800)Quanta Computer (Firm)Massachusetts Institute of Technology. Center for Collective Intelligenc
Simulating Human Strategic Behavior: Comparing Single and Multi-agent LLMs
No full textWhen creating policies, plans, or designs for people, it is challenging for designers to foresee all of the ways in which people may reason and behave. Recently, Large Language Models (LLMs) have been shown to be able to simulate human reasoning. We extend this work by measuring LLMs ability to simulate strategic reasoning in the ultimatum game, a classic economics bargaining experiment. Experimental evidence shows human strategic reasoning is complex; people will often choose to punish other players to enforce social norms even at personal expense. We test if LLMs can replicate this behavior in simulation, comparing two structures: single LLMs and multi-agent systems. We compare their abilities to (1) simulate human-like reasoning in the ultimatum game, (2) simulate two player personalities, greedy and fair, and (3) create robust strategies that are logically complete and consistent with personality. Our evaluation shows that multi-agent systems are more accurate than single LLMs (88 percent vs. 50 percent) in simulating human reasoning and actions for personality pairs. Thus, there is potential to use LLMs to simulate human strategic reasoning to help decision and policy-makers perform preliminary explorations of how people behave in systems.10 pages, 6 figure
Beyond Training: How Workers Discover Value in Enterprise AI
No full textWhile organizations continue to invest in enterprise AI, little is known about how individual employees find valuable use cases once these tools are deployed. We present an exploratory interview study of 10 experienced U.S. professionals using M365 Copilot and interpret accounts through Rogers’ Diffusion of Innovations to examine where value appears and how use cases are found and shared. Findings reveal a strong preference for informal learning methods over structured training. No participants (0/10) reported formal training as their primary way of learning; most relied on trial-and-error (8/10) and on exchanging tips with colleagues (6/10). Participants most often used M365 Copilot for note-taking/summarization, information retrieval/explanation, and writing. They also reported perceived gains in efficiency but low confidence in mastering more advanced features. The paper discusses social learning strategies and outlines implementable steps for organizations to support the discovery of high-value use cases with available enterprise AI tools
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