In the Shadows of New York

Here I am in New York City where I\u27m spending the summer at St. Augustine\u27s Chapel in the lower east side. Two blocks down the street is Chinatown and then the Bowery, the avenue where men stumble along and sleep in doorways

Just How Clothes-Conscious are Children?

When I wear a white dress shirt I look like a dressed-up cowboy. From color to style, children have definite clothing likes and dislikes

CD Majors on Tour

On a Sunday afternoon last May, 27, child development majors embarked by bus for a 3 day field trip to Chicago

A Trailer for Two

Trailers are perfect for busy college couples, says Shirley Steckelberg. It only takes me 20 minutes to clean each day plus a thorough cleaning every Friday morning

The multilingual entity task (MET) overview

Conference-6 (MUC-6) evaluation of named entity identification demonstrated that systems are approach-ing human performance onEnglish language t xts [10]. Informal and anonymous, the MET provided a new opportunity to assess progress on the same task in Span-ish, Japanese, and Chinese. Preliminary results indicate that MET systems in all three languages performed comparably to those of the MUC-6 evaluatien in English. Based upon the Named Entity Task Guidelines [ 11], the task was to locate and tag with SGML named entity expressions (people, organizations, and locations), time expressions (time and date), and numeric expressions (percentage and money) in Spanish texts from Agence France Presse, in Japanese texts from Kyodo newswire, or in Chinese texts from Xinhua newswkel. Across lan-guages the keywords "press conference " retrieved a rich subcorpus of texts, covering awide spectrum of topics. Frequency and types of expressions vary in the three language sets [2] [8] [9]. The original task guidelines were modified so that he core guidelines were language independent with language specific rules appended. The schedule was quite abbreviated. In the fall, Government language teams retrieved training and test texts with multilingual software for the Fast Data Finder (FDF), refined the MUC-6 guidelines, and manually tagged 100 training texts using the SRA Named Entity Tool. In January, the training texts were released along with 200 sample unannotated training texts to the partic-ipating sites. A dry run was held in late March and early April and in late April the official test on 100 texts was. The language t xts were supplied by the Linguistic Data Consortium (LDC) at the University of Pennsylvania. performed anonymously. SAIC created language ver-sions of the scoring program and provided technical support throughout. Both commercial and academic groups partici-pated. Two groups, New Mexico State University/Com

The Iowa Homemaker vol.37, no.1

Verse, page 4 Today I’m in a Millinery Mood, Sally Mahedy, page 5 Paper-Quick Parties, Nancy Fox, page 6 “Sizzle a Steak” Hawaiian Style, Muriel Hirotsu, page 7 CD Majors on Tour, Nancy Merchant, page 8 “Daddy…?”, Greg Hawkes, page 9 “Yes, Son…?”, Dr. Glenn Hawkes, page 9 When I Grow Up, I Can Wear Real Perfume, Diane Rasmussen, page 10 Dolls are for the Young at Heart, Orma Herman, page 11 It’s Child’s Play Acting, Marilyn Jones, page 12 Crossword Puzzle, Marilyn Jones and Sandra Hammerand, page 13 A Child’s View of Iowa State, Diane Robinson, page 14 Answer to Crossword Puzzle, page 1

The Iowa Homemaker vol.35, no.6

A trailer for two, Nancy Merchant, page 5 Our replanned Pammel unit, Judy Klingman, page 6 How a story goes to press, Donna Danielson, page 8 It’s a Speedy Microwave, page 10 Challenge to “live”, Carol Vokral and Ruth Abbott, page 12 What’s New, Carol Stadtmueller, page 13 Trends, Donna Schneider and Ann McCarthy, page 1

Species Abundance Modelling of Arctic-Boreal Zone Ducks Informed by Satellite Remote Sensing

The Arctic-Boreal zone (ABZ) covers over 26 million km2 and is home to numerous duck species; however, understanding the spatiotemporal distribution of their populations across this vast landscape is challenging, in part due to extent and data scarcity. Species abundance models for ducks in the ABZ commonly use static (time invariant) habitat covariates to inform predictions, such as wetland type and extent maps. For the first time in this region, we developed species abundance models using high-resolution, time-varying wetland inundation data produced using satellite remote sensing methods. This data captured metrics of surface water extent and inundated vegetation in the Peace Athabasca Delta, Canada, which is within the NASA Arctic Boreal Vulnerability Experiment core domain. We used generalized additive mixed models to demonstrate the improved predictive value of this novel data set over time-invariant data. Our findings highlight both the potential complementarity and efficacy of dynamic wetland inundation information for improving estimation of duck abundance and distribution at high latitudes. Further, these data can be an asset to spatial targeting of biodiversity conservation efforts and developing model-based metrics of their success under rapidly changing climatic conditions

The Iowa Homemaker vol.35, no.4

MEN: on dating, Donna Schneider, page 5 Scrapbook dress-up with paint, Ginny Joy, page 6 Scrapbook dress-up with paper, Margaret Deobald and Judy Klingaman, page 7 Home Economics addition, Betty Gregory, page 9 Old, but not outmoded, Mary Vandecar, page 10 What’s New, Carol Wells, page 12 Music for everyone, Ruth Abbott, page 13 In the shadows of New York, Nancy Merchant, page 14 It’s time to speak up!, Diane Dahms, page 16 Ummm, good, Sally Rosenquist, page 1