Adoption of Digital Technologies and Decision Support Systems in Horticulture Supply Chains

This paper presents key factors affecting the adoption of digital technologies and decision support technologies in horticulture supply chains. Using the case study method, in-depth interviews were conducted with decision-makers of three distinctive horticulture supply chains, complemented by site observations. The Technology Acceptance Model (TAM) is the theoretical foundation guiding this qualitative study. The findings indicate the constructs perceived ease of use, usefulness, attitudes, behavioural intentions, trust, social influence, and costs affecting adoption. The study contributes to the literature by presenting an integrated TAM model that can be used to understand adoption in horticulture supply chains. It strengthens TAM by providing evidence of its applicability to real-life industry settings and further creates a link to the unique adoption problems in industry. The practical contribution to ICT developers, industry peak bodies, and governments is that the inter-firms’ interactions need to be considered when designing decision support technologies and implementing improvement programs

Improvement Research Carried Out Through Networked Communities: Accelerating Learning about Practices that Support More Productive Student Mindsets

The research on academic mindsets shows significant promise for addressing important problems facing educators. However, the history of educational reform is replete with good ideas for improvement that fail to realize the promises that accompany their introduction. As a field, we are quick to implement new ideas but slow to learn how to execute well on them. If we continue to implement reform as we always have, we will continue to get what we have always gotten. Accelerating the field's capacity to learn in and through practice to improve is one key to transforming the good ideas discussed at the White House meeting into tools, interventions, and professional development initiatives that achieve effectiveness reliably at scale. Toward this end, this paper discusses the function of networked communities engaged in improvement research and illustrates the application of these ideas in promoting greater student success in community colleges. Specifically, this white paper:* Introduces improvement research and networked communities as ideas that we believe can enhance educators' capacities to advance positive change. * Explains why improvement research requires a different kind of measures -- what we call practical measurement -- that are distinct from those commonly used by schools for accountability or by researchers for theory development.* Illustrates through a case study how systematic improvement work to promote student mindsets can be carried out. The case is based on the Carnegie Foundation's effort to address the poor success rates for students in developmental math at community colleges.Specifically, this case details:- How a practical theory and set of practical measures were created to assess the causes of "productive persistence" -- the set of "non-cognitive factors" thought to powerfully affect community college student success. In doing this work, a broad set of potential factors was distilled into a digestible framework that was useful topractitioners working with researchers, and a large set of potential measures was reduced to a practical (3-minute) set of assessments.- How these measures were used by researchers and practitioners for practical purposes -- specifically, to assess changes, predict which students were at-risk for course failure, and set priorities for improvement work.-How we organized researchersto work with practitioners to accelerate field-based experimentation on everyday practices that promote academic mindsets(what we call alpha labs), and how we organized practitioners to work with researchers to test, revise, refine, and iteratively improve their everyday practices (using plando-study-act cycles).While significant progress has already occurred, robust, practical, reliable efforts to improve students' mindsets remains at an early formative stage. We hope the ideas presented here are an instructive starting point for new efforts that might attempt to address other problems facing educators, most notably issues of inequality and underperformance in K-12 settings

Disparities in science literacy

Much is known about how adult science literacy varies internationally and over time, and about its association with attitudes and beliefs. However, less is known about disparities in science literacy across racial and ethnic groups. This is particularly surprising in light of substantial research on racial and ethnic disparities in related areas such as educational achievement, math and reading ability, representation in science, technology, engineering, and math (STEM) occupations, and health literacy. Given the importance of science literacy to securing and sustaining many jobs, to understanding key health concepts to enhance quality of life, and to increasing public engagement in societal decision-making, it is concerning if the distribution of science literacy is unequally stratified, particularly if this stratification reflects broader patterns of disadvantage and cultural dominance as experienced by minorities and educationally underserved populations. We describe here such disparities in science literacy in the United States and attempt to explain underlying drivers, concluding that the science literacy disadvantage among black and Hispanic adults relative to whites is only partially explained by measures of broader, foundational literacies and socioeconomic status (SES)

Relationship Between Learning Orientation And Business Performance And The Moderating Effect Of Competitive Advantage: An Accounting Services Firms Perspective

This study examines the influence of learning orientation on business performance (achievement of sales and profit objectives) in the context of pure service, specifically that of public accounting services firms. The conceptual framework used in this research has been drawn from marketing, finance, and organizational behavior theory. Specifically, relationships related to learning orientation, sources of competitive advantage, and business performance have been identified.This research tests a framework about learning orientation and its consequences in an accounting services firm. Specifically, this study focused on several research questions, including: 1) Is there a relationship between learning orientation and business performance in terms of the achievement of sales and profit objectives in an accounting services firm?, 2) Is there a relationship between learning orientation and competitive advantage in an accounting services firm?, and 3) Does competitive advantage moderate the relationship between learning orientation and business performance in an accounting services firm?A survey-based research methodology is used to explore these research questions and pertinent findings reported in previous studies (Martinette, 2006; Martinette & Obenchain-Leeson, 2010; Martinette & Obenchain-Leeson, 2012). The findings of this study suggested that as learning orientation increases in public accounting services firms, business performance scores and competitive advantage also increase. The findings of this study did not suggest that competitive advantage moderates the relationship between learning orientation and business performance in public accounting services firms

Multi-focal Myxopapillary Ependymoma in the Lumbar and Sacral Regions Requiring Cranio-spinal Radiation Therapy: A Case Report

Ependymomas are uncommon tumors that arise in the brain, spinal cord or cauda equina. Myxopapillary ependymomas is located exclusively in the conus medullaris or cauda equina, or film terminale region. In most myxopapillary ependymomas, the histological examination reveals low mitotic activity that is associated with a low MIB-1 labeling index (LI). The prognosis is generally favorable, when the appropriate treatment, including a total resection, is performed. The authors encountered a 39-year-old man with multifocal type of myxopapillary ependymomas compressing the cauda equina from the L2 to L3 level and L5-S1 level. A subtotal resection of the tumor was carried out. The histological examination revealed extremely high mitotic activity with a MIB-1 LI of 9.1%. Therefore, cranio-spinal radiation was added after surgery. The postoperative course was uneventful over the 3.5 year follow-up period

Mechanisms of Odor-Tracking: Multiple Sensors for Enhanced Perception and Behavior

Early in evolution, the ability to sense and respond to changing environments must have provided a critical survival advantage to living organisms. From bacteria and worms to flies and vertebrates, sophisticated mechanisms have evolved to enhance odor detection and localization. Here, we review several modes of chemotaxis. We further consider the relevance of a striking and recurrent motif in the organization of invertebrate and vertebrate sensory systems, namely the existence of two symmetrical olfactory sensors. By combining our current knowledge about the olfactory circuits of larval and adult Drosophila, we examine the molecular and neural mechanisms underlying robust olfactory perception and extend these analyses to recent behavioral studies addressing the relevance and function of bilateral olfactory input for gradient detection. Finally, using a comparative theoretical approach based on Braitenberg's vehicles, we speculate about the relationships between anatomy, circuit architecture and stereotypical orientation behaviors

Convective environments in AI-models - What have AI-models learned about atmospheric profiles?

The recently released suite of AI-based medium-range forecast models can produce multi-day forecasts within seconds, with a skill on par with the IFS model of ECMWF. Traditional model evaluation predominantly targets global scores on single levels. Specific prediction tasks, such as severe convective environments, require much more precision on a local scale and with the correct vertical gradients in between levels. With a focus on the North American and European convective season of 2020, we assess the performance of Panguweather, Graphcast and Fourcastnet for convective available potential energy (CAPE) and storm relative helicity (SRH) at lead times of up to 7 days. Looking at the example of a US tornado outbreak on April 12 and 13, 2020, all models predict elevated CAPE and SRH values multiple days in advance. The spatial structures in the AI-models are smoothed in comparison to IFS and the reanalysis ERA5. The models show differing biases in the prediction of CAPE values, with Graphcast capturing the value distribution the most accurately and Fourcastnet showing a consistent underestimation. By advancing the assessment of large AI-models towards process-based evaluations we lay the foundation for hazard-driven applications of AI-weather-forecasts

Convective environments in AI-models – What have Panguweather, Graphcast and Fourcastnet learned about atmospheric profiles?

The recently released suite of AI-based medium-range forecast models can produce multi-day forecasts within seconds, with a skill on par with the IFS model of ECMWF. Traditional model evaluation predominantly targets global scores on single levels. Specific prediction tasks, such as severe convective environments, require much more precision on a local scale and with the correct vertical gradients in between levels. With a focus on the North American and European convective season of 2020, we assess the performance of Panguweather, Graphcast and Fourcastnet for instability and bulk shear at lead times of up to 5 days. By advancing the assessment of large AI-models towards process-based evaluations we lay the foundation for hazard-driven applications of AI-weather-forecasts. POSTE

Unique Organization of Extracellular Amylases into Amylosomes in the Resistant Starch-Utilizing Human Colonic Firmicutes Bacterium Ruminococcus bromii

ACKNOWLEDGMENTS We acknowledge support from BBSRC grant no. BB/L009951/1, from the Scottish government Food, Land and People program, and from the Society for Applied Microbiology. E.A.B. is supported by a grant (no. 1349/13) from the Israel Science Foundation (ISF), Jerusalem, Israel, and by a grant from the United States-Israel Binational Science Foundation (BSF). E.A.B. is the incumbent of the Maynard I. and Elaine Wishner Chair of Bio-organic Chemistry. Thanks are due to Fergus Nicol for proteomic analysis and to Auriane Bernard for enzyme assays on stationary-phase cultures. We also thank Julian Parkhill and Keith Turner (Wellcome Trust Sanger Institute, Cambridge, United Kingdom) for making the R. bromii L2-63 genome sequence available for analysis.Peer reviewedPublisher PD