Development of a Mindful-Eating Intervention Program among Third Through Fifth Grade Elementary School Children and Their Parents

The prevalence of obesity among children in the United States is a major health concern and is associated with increased health risks. The goal of this intervention was to develop and pilot test strategies based on mindful eating practices that foster healthy eating behaviors among elementary school children and their families. Mindful eating practice engages all of ones senses and has been shown to decrease impulsive food decisions and increase awareness of hunger and fullness cues. Using Experiential Learning Theory (ELT), class interventions and take-home activities were developed to teach mindful eating strategies to Hispanic and non-Hispanic 3rd through 5th grade elementary school children and their parents. The results of this research will: 1) contribute to the scientific literature regarding the impact of mindful eating practice on children’s eating behavior, 2) provide an alternate strategy for weight loss and management among children, and 3) provide parents and teachers with the knowledge and skills necessary to promote mindful eating among children and families

Educators’ Perceptions of Middle Level Education in a State without a Middle Level Teacher Credential

The Association for Middle Level Education (AMLE) presents a framework of middle level education and defines five essential attributes and 18 characteristics of successful middle schools (Bishop & Harrison, 2021). Young adolescents’ unique cognitive, moral, socio-emotional, and identity development is at the center of this framework. Several empirical studies suggest that middle school teachers with specialized preparation performed better in many key areas than their counterparts with elementary or secondary licensure (Mertens et al., 2005; Ochanji et al., 2016). Despite researchers’ calls for specialized preparation of middle grades teachers. California does not offer a middle level teacher credential. The purpose of this exploratory survey study was to investigate the current state of middle level education in California

MOCCA College: An assessment of inferential narrative and expository comprehension

[ES] MOCCA-C is an assessment of adult reading ability designed for early diagnosis of reading problems, for formative assessment in reading intervention planning, for assessment of reading improvement over time, and for assessment of reading intervention outcomes. It uses both narrative and expository reading passages and it currently has four forms. Two goals of this research were to compare narrative and expository passages on (a) their difficulty and (b) their ability to discriminate between good and poor readers. An additional goal was to assess whether narrative and expository passages measure the same or different comprehension dimensions. A final goal was to assess the reliability of forms. We randomly assigned students to forms with between 274 – 279 college students per form. Across the several forms, results suggest that narrative passages are easier and better discriminate between good and poor readers. However, both narrative and expository passages measure a single dimension of ability. MOCCA-C scores are reliable. Implications for research and practice are discussed.Davison, ML.; Seipel, B.; Clinton, V.; Carlson, S.; Kennedy, P.; Kennedy, PC. (2020). MOCCA College: An assessment of inferential narrative and expository comprehension. En 6th International Conference on Higher Education Advances (HEAd'20). Editorial Universitat Politècnica de València. (30-05-2020):417-425. https://doi.org/10.4995/HEAd20.2020.11081OCS41742530-05-202

Educators\u27 Perceptions of Middle Level Education in a State Without a Middle Level Teacher Credential

Over forty U.S. states offer teacher licensing specifically in preparation for teaching middle grades students. California is not included in this number, nor do California teacher licenses (i.e., multiple subjects, single subject, and special education) require teacher preparation coursework specific to meeting the needs of early adolescents. This descriptive study presents results of an exploratory survey of California educators with middle grades experience (n=48) regarding their ability to identify essential attributes and characteristics of successful middle schools in California, their perceptions of young adolescents’ needs and responsive teaching practices, and their current opinions of middle level education in California. Findings indicate that survey respondents (1) moderately agree that middle schools in California represent the essential attributes and key characteristics of successful middle schools, (2) agree that middle level teachers’ practice is responsive to early adolescents’ developmental needs but does not emphasize student choice and community interaction, and (3) overwhelmingly agree that the overall state of middle level education in California is inadequate. These findings have implications for policymakers and teacher educators to think flexibly about middle level education and whether the needs of early adolescents are best served by the current conditions of teacher preparation in California

The DLV System for Knowledge Representation and Reasoning

This paper presents the DLV system, which is widely considered the state-of-the-art implementation of disjunctive logic programming, and addresses several aspects. As for problem solving, we provide a formal definition of its kernel language, function-free disjunctive logic programs (also known as disjunctive datalog), extended by weak constraints, which are a powerful tool to express optimization problems. We then illustrate the usage of DLV as a tool for knowledge representation and reasoning, describing a new declarative programming methodology which allows one to encode complex problems (up to $\Delta^P_3$-complete problems) in a declarative fashion. On the foundational side, we provide a detailed analysis of the computational complexity of the language of DLV, and by deriving new complexity results we chart a complete picture of the complexity of this language and important fragments thereof. Furthermore, we illustrate the general architecture of the DLV system which has been influenced by these results. As for applications, we overview application front-ends which have been developed on top of DLV to solve specific knowledge representation tasks, and we briefly describe the main international projects investigating the potential of the system for industrial exploitation. Finally, we report about thorough experimentation and benchmarking, which has been carried out to assess the efficiency of the system. The experimental results confirm the solidity of DLV and highlight its potential for emerging application areas like knowledge management and information integration.Comment: 56 pages, 9 figures, 6 table

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km² resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e., offset) between in-situ soil temperature measurements, based on time series from over 1200 1-km² pixels (summarized from 8500 unique temperature sensors) across all the world’s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in-situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0–5 and 5–15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world\u27s major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (−0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications

Global maps of soil temperature.

Research in global change ecology relies heavily on global climatic grids derived from estimates of air temperature in open areas at around 2 m above the ground. These climatic grids do not reflect conditions below vegetation canopies and near the ground surface, where critical ecosystem functions occur and most terrestrial species reside. Here, we provide global maps of soil temperature and bioclimatic variables at a 1-km2 resolution for 0-5 and 5-15 cm soil depth. These maps were created by calculating the difference (i.e. offset) between in situ soil temperature measurements, based on time series from over 1200 1-km2 pixels (summarized from 8519 unique temperature sensors) across all the world's major terrestrial biomes, and coarse-grained air temperature estimates from ERA5-Land (an atmospheric reanalysis by the European Centre for Medium-Range Weather Forecasts). We show that mean annual soil temperature differs markedly from the corresponding gridded air temperature, by up to 10°C (mean = 3.0 ± 2.1°C), with substantial variation across biomes and seasons. Over the year, soils in cold and/or dry biomes are substantially warmer (+3.6 ± 2.3°C) than gridded air temperature, whereas soils in warm and humid environments are on average slightly cooler (-0.7 ± 2.3°C). The observed substantial and biome-specific offsets emphasize that the projected impacts of climate and climate change on near-surface biodiversity and ecosystem functioning are inaccurately assessed when air rather than soil temperature is used, especially in cold environments. The global soil-related bioclimatic variables provided here are an important step forward for any application in ecology and related disciplines. Nevertheless, we highlight the need to fill remaining geographic gaps by collecting more in situ measurements of microclimate conditions to further enhance the spatiotemporal resolution of global soil temperature products for ecological applications