scholarly journals The solar influencer next door: Predicting low income solar referrals and leads

2022 ◽  
Vol 86 ◽  
pp. 102417
Ben Sigrin ◽  
Ashok Sekar ◽  
Emma Tome
2019 ◽  
Vol 62 (6) ◽  
pp. 1775-1786 ◽  
Lucía I. Méndez ◽  
Gabriela Simon-Cereijido

Purpose This study investigated the nature of the association of lexical–grammatical abilities within and across languages in Latino dual language learners (DLLs) with specific language impairment (SLI) using language-specific and bilingual measures. Method Seventy-four Spanish/English–speaking preschoolers with SLI from preschools serving low-income households participated in the study. Participants had stronger skills in Spanish (first language [L1]) and were in the initial stages of learning English (second language [L2]). The children's lexical, semantic, and grammar abilities were assessed using normative and researcher-developed tools in English and Spanish. Hierarchical linear regressions of cross-sectional data were conducted using measures of sentence repetition tasks, language-specific vocabulary, and conceptual bilingual lexical and semantic abilities in Spanish and English. Results Results indicate that language-specific vocabulary abilities support the development of grammar in L1 and L2 in this population. L1 vocabulary also contributes to L2 grammar above and beyond the contribution of L2 vocabulary skills. However, the cross-linguistic association between vocabulary in L2 and grammar skills in the stronger or more proficient language (L1) is not observed. In addition, conceptual vocabulary significantly supported grammar in L2, whereas bilingual semantic skills supported L1 grammar. Conclusions Our findings reveal that the same language-specific vocabulary abilities drive grammar development in L1 and L2 in DLLs with SLI. In the early stages of L2 acquisition, vocabulary skills in L1 also seem to contribute to grammar skills in L2 in this population. Thus, it is critical to support vocabulary development in both L1 and L2 in DLLs with SLI, particularly in the beginning stages of L2 acquisition. Clinical and educational implications are discussed.

2004 ◽  
Vol 171 (4S) ◽  
pp. 101-102
Tracey L. Krupski ◽  
Arlene Fink ◽  
Lorna Kwan ◽  
Sarah Connor ◽  
Sally L. Maliski ◽  

2001 ◽  
Vol 116 (6) ◽  
pp. 608-616 ◽  
Virginia A Cardin ◽  
Richard M Grimes ◽  
Zhi Dong Jiang ◽  
Nancy Pomeroy ◽  
Luther Harrell ◽  

2014 ◽  
Vol 84 (5-6) ◽  
pp. 244-251 ◽  
Robert J. Karp ◽  
Gary Wong ◽  
Marguerite Orsi

Abstract. Introduction: Foods dense in micronutrients are generally more expensive than those with higher energy content. These cost-differentials may put low-income families at risk of diminished micronutrient intake. Objectives: We sought to determine differences in the cost for iron, folate, and choline in foods available for purchase in a low-income community when assessed for energy content and serving size. Methods: Sixty-nine foods listed in the menu plans provided by the United States Department of Agriculture (USDA) for low-income families were considered, in 10 domains. The cost and micronutrient content for-energy and per-serving of these foods were determined for the three micronutrients. Exact Kruskal-Wallis tests were used for comparisons of energy costs; Spearman rho tests for comparisons of micronutrient content. Ninety families were interviewed in a pediatric clinic to assess the impact of food cost on food selection. Results: Significant differences between domains were shown for energy density with both cost-for-energy (p < 0.001) and cost-per-serving (p < 0.05) comparisons. All three micronutrient contents were significantly correlated with cost-for-energy (p < 0.01). Both iron and choline contents were significantly correlated with cost-per-serving (p < 0.05). Of the 90 families, 38 (42 %) worried about food costs; 40 (44 %) had chosen foods of high caloric density in response to that fear, and 29 of 40 families experiencing both worry and making such food selection. Conclusion: Adjustments to USDA meal plans using cost-for-energy analysis showed differentials for both energy and micronutrients. These differentials were reduced using cost-per-serving analysis, but were not eliminated. A substantial proportion of low-income families are vulnerable to micronutrient deficiencies.

2016 ◽  
Vol 7 (4) ◽  
pp. 295-304 ◽  
Shuchang Kang ◽  
Carolyn M. Tucker ◽  
Guillermo M. Wippold ◽  
Michael Marsiske ◽  
Paige H. Wegener

2020 ◽  
Vol 14 (4) ◽  
pp. 415-432 ◽  
Adam Winsler ◽  
Taylor V. Gara ◽  
Alenamie Alegrado ◽  
Sonia Castro ◽  
Tanya Tavassolie

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