The Giving of the Gift

How many times have you looked over the stock in a gift shop and been astonished that some very simple articles were priced at as much as two or three times their actual value? That is, if you were to buy these very same articles in a dry goods store, a hardware store, or, perhaps, the five and ten, you would pay considerably less. You perhaps wondered how anyone had the ability to sell any produce at a price so much beyond its cash value. But your merchant certainly does sell these articles, and there seems to be a steady demand for more from the buying public

The Realization of Your Own Dream Room

Was there ever a time when you didn\u27t wish for a room of your own, a place where you could go and shut the door on that troublesome little brother, as well as on many other things that are appreciated much more if the are not always with us? And fitting through those daydreams, which belonged only to you, weren\u27t there often visions of how this room would look? It was a place for you, wasn\u27t it? It harbored what you loved best and you were its ruling spirit

We Do Over Our Rooms - How Club Girls May Economically Redecorate Their Own Rooms

You remember the Mother Goose rhyme, don\u27t you, and how puzzled you felt when you found that all of them were just other names for Elizabeth. And she was only one girl after all

A Romance Map of the State of Maine

Perhaps a better title would be A Political, Historical, Cultural, Geographic, Maritime, Religious, and Romance Map of the State of Maine. Hundreds of facts about the Pine Tree State displayed in the side border panels as well as on the map proper. Map is displayed in two halves and four quarters to accommodate better readability. Full size versions of map are easily found via Internet search.https://digicom.bpl.lib.me.us/books_pubs/1338/thumbnail.jp

The Iowa Homemaker vol.3, no.4-5

Table of Contents We “Do Over” Our Rooms by Irma Camp and Alice Dodge, page 1 The Mysteries of Amateur Make Up by Frederica Shattuck, page 2 Fall Time Is Pickling Time by Katherine Howells, page 4 Episodes Concerning Evolution of Home Economics by Ruth Elaine Wilson, page 5 Tea – Suggestive of the Rainbow by Esther Ellen Rayburn, page 6 Vary the Vegetable by Blanche Ingersoll, page 7 Constipation and Its Dangers by Anne Mundt, page 8 Graduate Credit Conference for Vocational Home Economics at Iowa State by Eleanor Murray, page 9 Fish That Is Appetizing by Maxine Smith, page 9 Economy, Or a Wrong Idea by Harriett Wallace, page 1

The Iowa Homemaker vol.2, no.9

Table of Contents The Giving of the Gift by Alice Dodge, page 1 Christmas Dinner Done in Reds and Greens by N. Beth Bailey, page 2 Where Does Christmas Come From by Gertrude Murray, page 3 Iowa State Welcomes New Dean of Home Economics by Eleanor Murray and Helen Hamilton, page 4 Basketry – A Modernized Ancient Art by Juanita Beard and Gladys McVay, page 4 From “H. Ec.” to Geisha Girls and Russian Refugees by Jeanette Beyer, page 6 If You Make Your Own by Iva L. Brandt, page 7 Who’s There and Where by Jeanette Beyer, page 8 Make Your Kitchen Attractive by Ethel Huebner, page 1

Preschool Behavioral and Social-Cognitive Problems as Predictors of (Pre)adolescent Disruptive Behavior

This article describes preschool social understanding and difficult behaviors (hot temper, disobedience, bossiness and bullying) as predictors of oppositional defiant disorder (ODD) and aggressive conduct disorder (ACD) in a Dutch population sample of (pre)adolescents (N = 1943), measured at age 10–12 and at age 13–15. ODD and ACD were assessed by the Child Behavior Checklist and the Youth Self-Report, preschool behavior was evaluated by the parental questionnaire ‹How was your child as a preschooler? (age 4–5)’. Adjusted for each other, all difficult preschool behaviors except bullying were associated with adolescent ODD, while only bullying significantly predicted adolescent ACD. Furthermore, the results suggest a qualitative difference between ODD and ACD in terms of the social component of the disorders: poor preschool social understanding was associated with the development of ACD but not of ODD; and poor social understanding interacted with difficult preschool behaviors to predict later ACD but not ODD. The associations did not differ between boys and girls, and were roughly similar for preadolescent (age 10–12) and early adolescent (age 13–15) outcomes. The finding that poor social understanding was implicated in the development of ACD but not in the development of ODD may help to demarcate the individuality of each disorder and offer leads for (differential) treatment strategies

Prevalence of intestinal schistosomiasis in pre-school aged children: a pilot survey in Marolambo District, Madagascar.

School-aged children (SAC) have a considerable burden of intestinal schistosomiasis in Madagascar yet its burden in pre-school aged children (PSAC) is currently overlooked. To assess the at-risk status of PSAC, we undertook a pilot epidemiological survey in June 2019 examining children (n = 89), aged 2-4-years of balanced gender, in six remote villages in Marolambo District, Madagascar. Diagnosis included use of urine-circulating cathodic antigen (CCA) dipsticks and coproscopy of stool with duplicate Kato-Katz (K-K) thick smears. Prevalence of intestinal schistosomiasis by urine-CCA was 67.4% (95% confidence interval [CI]: 56.5-77.2%) and 35.0% (95% CI: 24.7-46.5%) by K-K. The relationship between faecal eggs per gram (epg) and urine-CCA G-scores (G1 to G10) was assessed by linear regression modelling, finding for every increment in G-score, epg increased by 20.4 (6.50-34.4, P = 0.006). Observed proportions of faecal epg intensities were light (78.6%), moderate (17.9%) and heavy (3.6%). Soil-transmitted helminthiasis was noted, prevalence of ascariasis was 18.8% and trichuriasis was 33.8% (hookworm was not reported). Co-infection of intestinal schistosomiasis and soil-transmitted helminthiasis occurred in 36.3% of PSAC. These results provide solid evidence highlighting the overlooked burden of intestinal schistosomiasis in PSAC, and they also offer technical  guidance for better surveillance data for the Madagascan national control programme

Symbiodinium Transcriptomes: Genome Insights into the Dinoflagellate Symbionts of Reef-Building Corals

Dinoflagellates are unicellular algae that are ubiquitously abundant in aquatic environments. Species of the genus Symbiodinium form symbiotic relationships with reef-building corals and other marine invertebrates. Despite their ecologic importance, little is known about the genetics of dinoflagellates in general and Symbiodinium in particular. Here, we used 454 sequencing to generate transcriptome data from two Symbiodinium species from different clades (clade A and clade B). With more than 56,000 assembled sequences per species, these data represent the largest transcriptomic resource for dinoflagellates to date. Our results corroborate previous observations that dinoflagellates possess the complete nucleosome machinery. We found a complete set of core histones as well as several H3 variants and H2A.Z in one species. Furthermore, transcriptome analysis points toward a low number of transcription factors in Symbiodinium spp. that also differ in the distribution of DNA-binding domains relative to other eukaryotes. In particular the cold shock domain was predominant among transcription factors. Additionally, we found a high number of antioxidative genes in comparison to non-symbiotic but evolutionary related organisms. These findings might be of relevance in the context of the role that Symbiodinium spp. play as coral symbionts

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Large language models (LLMs) have been shown to be able to perform new tasks based on a few demonstrations or natural language instructions. While these capabilities have led to widespread adoption, most LLMs are developed by resource-rich organizations and are frequently kept from the public. As a step towards democratizing this powerful technology, we present BLOOM, a 176B-parameter open-access language model designed and built thanks to a collaboration of hundreds of researchers. BLOOM is a decoder-only Transformer language model that was trained on the ROOTS corpus, a dataset comprising hundreds of sources in 46 natural and 13 programming languages (59 in total). We find that BLOOM achieves competitive performance on a wide variety of benchmarks, with stronger results after undergoing multitask prompted finetuning. To facilitate future research and applications using LLMs, we publicly release our models and code under the Responsible AI License