288 research outputs found

    Project Lead the Way and Deeper Learning: An Evaluation Study

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    For the past several decades governmental, educational, and philanthropic entities have endeavored to respond to the national STEM gap directing tremendous amounts of resources in response. During this time a specific STEM intervention, Project Lead the Way, a K12 program with a purpose to address the STEM gap, has spread across the country. This study investigates whether Project Lead the Way is delivering on its promise. Project Lead the Way exhibits many of the characteristics recommended by leading experts to reform traditional education into one that stresses deeper learning and the acquisition of 21st Century Skills. The central question of this study was to determine whether exposure to Project Lead the Way curriculum does indeed lead to deeper learning as evidenced through the acquisition of 21st Century Skills, specifically problem solving, critical thinking, and creativity. Further, are the recommendations of researchers who intend to more fully integrate deeper learning into the fabric of high school coursework validated by the effects of a program that follow those recommendations. The results suggest that the answer is maybe to both questions

    Aspects Of Deregulated Glucose Metabolism In Liver And Kidney Cancer

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    Deregulated glucose metabolism is a critical component of cancer growth and survival, as is clinically evident by FDG-PET imaging of enhanced glucose uptake in tumors. However, the efficacy of direct pharmacological intervention of glycolysis, a critical biochemical pathway that catabolizes glucose, has yet to be realized. As an alternative approach, we explored the potential therapeutic value of two physiological pathways that oppose glucose catabolism in either liver or kidney cancer: gluconeogenesis and glycogen synthesis, respectively. In liver cancer, I hypothesized that gluconeogenesis could be stimulated by glucagon signaling to antagonize glycolysis and reduce tumor cell growth. Upon supraphysiologic overexpression of the glucagon receptor, GCGR, glucagon treatment of the liver cancer cell line, SNU398, reproducibly decreased cell viability, but without transcriptionally inducing gluconeogenic gene expression, regardless of the epigenetic landscape. In kidney cancer, we hypothesized that disrupting glycogen breakdown could prevent release of glucose under stress conditions and inhibit tumor cell proliferation. Through genetic knockout of key enzymes and carbon-13 labeling, we observed that glycogen metabolism does not affect tumor growth, despite metabolic utilization of glycogen-derived glucose in culture conditions without glucose. In conclusion, we describe context-specific approaches to targeting glucose metabolism in cancer that warrant further investigation

    Auxin and tryptophan homeostasis are facilitated by the ISS1/VAS1 aromatic aminotransferase in arabidopsis

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    Indole-3-acetic acid (IAA) plays a critical role in regulating numerous aspects of plant growth and development. While there is much genetic support for tryptophan-dependent (Trp-D) IAA synthesis pathways, there is little genetic evidence for tryptophan-independent (Trp-I) IAA synthesis pathways. Using Arabidopsis, we identified two mutant alleles of ISS1 ( I: ndole S: evere S: ensitive) that display indole-dependent IAA overproduction phenotypes including leaf epinasty and adventitious rooting. Stable isotope labeling showed that iss1, but not WT, uses primarily Trp-I IAA synthesis when grown on indole-supplemented medium. In contrast, both iss1 and WT use primarily Trp-D IAA synthesis when grown on unsupplemented medium. iss1 seedlings produce 8-fold higher levels of IAA when grown on indole and surprisingly have a 174-fold increase in Trp. These findings indicate that the iss1 mutant's increase in Trp-I IAA synthesis is due to a loss of Trp catabolism. ISS1 was identified as At1g80360, a predicted aromatic aminotransferase, and in vitro and in vivo analysis confirmed this activity. At1g80360 was previously shown to primarily carry out the conversion of indole-3-pyruvic acid to Trp as an IAA homeostatic mechanism in young seedlings. Our results suggest that in addition to this activity, in more mature plants ISS1 has a role in Trp catabolism and possibly in the metabolism of other aromatic amino acids. We postulate that this loss of Trp catabolism impacts the use of Trp-D and/or Trp-I IAA synthesis pathways.T32 AR059033 - NIAMS NIH HH

    A proposed computer vision model for running gait assessment

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    Running gait assessment is critical in performance optimization and injury prevention. Traditional approaches to running gait assessment are inhibited by unnatural running environments (e.g., indoor lab), varied assessor (i.e., subjective experience) and high costs with traditional reference standard equipment. Thus, development of valid, reproduceable and low-cost approaches are key. Use of wearables such as inertial measurement units have shown promise but despite their flexible use in any environment and reduced cost, they often retain complexities such as connectivity to mobile platforms and stringent attachment protocols. Here, we propose a non-wearable camera-based approach to running gait assessment, focusing on identification of initial contact events within a runner's stride. We investigated different artificial intelligence and object tracking approaches to determine the optimal methodology. A cohort of 40 healthy runners were video recorded (240FPS, multi-angle) during 2-minute running bouts on a treadmill. Validation of the proposed approach is obtained from comparison to manually labelled videos. The computing vision approach can accurately identify initial contact events (ICC(2,1) = 0.902)

    Enhancing free-living fall risk assessment: Contextualising mobility based IMU data

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    Fall risk assessment needs contemporary approaches based on habitual data. Currently, inertial measurement unit (IMU) based wearables are used to inform free-living spatio-temporal gait characteristics to inform mobility assessment. Typically, a fluctuation of those characteristics will infer an increased fall risk. However, current approaches with IMU’s remains limited as there are no contextual data to comprehensively determine if underlying mechanistic (intrinsic) or envi-ronmental (extrinsic) factors impact mobility and therefore fall risk. Here, a case study is used to explore and discuss how contemporary video-based wearables could be used to supplement arising mobility-based IMU gait data to better inform habitual fall risk assessment. A single stroke survivor was recruited, and he conducted a series of mobility tasks in a lab and beyond while wearing video-based glasses and a single IMU. The latter generated topical gait characteristics that were discussed according to current research practices. Although current IMU-based approaches are beginning to provide habitual data they remain limited. Given the plethora of extrinsic factors that may influence mobility-based gait there is a need to corroborate IMU’s with video data to comprehensively inform fall risk assessment. Use of artificial intelligence (AI) based computer vision approaches could drastically aid the processing of video data in a timely and ethical manner. Many off-the-shelf AI tools exist to aid this current need and provide a means to automate con-textual analysis to better inform mobility from IMU gait data for an individualized and con-temporary approach to habitual fall risk assessment

    fMRI Response During Figural Memory Task Performance in College Drinkers [pre-print]

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    Rationale: 18-25-year-olds show the highest rates of alcohol use disorders (AUD) and heavy drinking, which may have critical neurocognitive implications. Regions subserving memory may be particularly susceptible to alcohol-related impairments. Objective: We used blood oxygen level-dependent (BOLD) functional magnetic resonance imaging (fMRI) to examine the neural correlates of visual encoding and recognition among heavy drinking college students. We predicted that heavy drinkers would show worse memory performance and increased frontal/parietal activation and decreased hippocampal response during encoding. Methods: Participants were 23 heavy drinkers and 33 demographically matched light drinkers, ages 18-20, characterized using quantity/frequency of drinking and AUD diagnosis. Participants performed a figural encoding and recognition task during fMRI. BOLD response during encoding was modeled based on whether each stimulus was subsequently recognized or forgotten (i.e., correct vs. incorrect encoding). Results: There were no group differences in behavioral performance. Compared to light drinkers, heavy drinkers showed: 1) greater BOLD response during correct encoding in right hippocampus/medial temporal, right dorsolateral prefrontal, left inferior frontal, and bilateral posterior parietal cortices; 2) less left inferior frontal activation and greater bilateral precuneus deactivation during incorrect encoding; and 3) less bilateral insula response during correct recognition (clusters \u3e10,233ul, p Conclusions: This is the first investigation of the neural substrates of figural memory among heavy drinking older adolescents. Heavy drinkers demonstrated compensatory hyperactivation of memory-related areas during correct encoding, greater deactivation of default mode regions during incorrect encoding, and reduced recognition-related response. Results could suggest use of different encoding and recognition strategies among heavy drinkers
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