Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design

Large-scale Research on Engineering Design in Secondary Classrooms: Big Learner Data Using Energy3D Computer-Aided Design Through a five-year collaborative project, the Concord Consortium and PurdueUniversity are applying a data-intensive approach to study one of the most fundamental researchtopics in learning sciences: “How do secondary students learn and apply science concepts inengineering design processes?” We have collected more 2GB of structured data from secondaryschool students in Indiana and Massachusetts through automatic, unobtrusive logging of studentdesign processes enabled by a unique CAD tool that supports the design of energy-efficientbuildings using Earth science and physical science concepts. Data includes fine-grainedinformation of student actions, experimentation results, electronic notes, and design artifacts.These process data are used to reconstruct the entire learning trajectory of each individualstudent with high resolution. Our research evaluates how these learning analytics applied to theseprocess data can be the computational counterparts of traditional performance assessmentmethods. Combining these process data with pre/post-tests and demographic data, we haveinvestigated the common patterns of student design behaviors and how they are associated withlearning outcomes with a specific focus on how students deepen their understanding of scienceconcepts involved in engineering design projects and how often and deeply students usescientific experimentation to make a design choice. So far we completed two small-scale studiesin Massachusetts and one study in Indiana using classroom observations and expert evaluations.We are collecting data with student interviews to validate metrics. Some key findings are…evidence that suggests that for science learning to occur, design projects used in classroomsshould (1) allow and emphasize trade-off analysis and include time and resources forexperimenting and data gathering; (2) provide instructional scaffolding and formative feedbackto guide student design

Ozone Response to Aircraft Emissions: Sensitivity Studies with Two-dimensional Models

Our first intercomparison/assessment of the effects of a proposed high-speed civil transport (HSCT) fleet on the stratosphere is presented. These model calculations should be considered more as sensitivity studies, primarily designed to serve the following purposes: (1) to allow for intercomparison of model predictions; (2) to focus on the range of fleet operations and engine specifications giving minimal environmental impact; and (3) to provide the basis for future assessment studies. The basic scenarios were chosen to be as realistic as possible, using the information available on anticipated developments in technology. They are not to be interpreted as a commitment or goal for environmental acceptability

nanoHUB.org: A Gateway to Undergraduate Simulation-Based Research in Materials Science and Related Fields

Our future engineers and scientists will likely be required to use advanced simulations to solve many of tomorrow\u27s challenges in nanotechnology. To prepare students to meet this need, the Network for Computational Nanotechnology (NCN) provides simulation-focused research experiences for undergraduates at an early point in their educational path, to increase the likelihood that they will ultimately complete a doctoral program. The NCN summer research program currently serves over 20 undergraduate students per year who are recruited nationwide, and selected by NCN and the faculty for aptitude in their chosen field within STEM, as well as complementary skills such as coding and written communication. Under the guidance of graduate student and faculty mentors, undergraduates modify or build nanoHUB simulation tools for exploring interdisciplinary problems in materials science and engineering, and related fields. While the summer projects exist within an overarching research context, the specific tasks that NCN undergraduate students engage in range from modifying existing tools to building new tools for nanoHUB and using them to conduct original research. Simulation tool development takes place within nanoHUB, using nanoHUB’s workspace, computational clusters, and additional training and educational resources. One objective of the program is for the students to publish their simulation tools on nanoHUB. These tools can be accessed and executed freely from around the world using a standard web-browser, and students can remain engaged with their work beyond the summer and into their careers. In this work, we will describe the NCN model for undergraduate summer research. We believe that our model is one that can be adopted by other universities, and will discuss the potential for others to engage undergraduate students in simulation-based research using free nanoHUB resources

Using the community psychology competencies to address sexual assault on a college campus

Sexual assault on college campuses is a national issue, with a recent report from the White House estimating that 20% of women will experience a sexual assault during college.  Students at Wichita State University formed a campus organization to bring visibility to both community psychology and address this important problem.  The Community Psychology Association is comprised of both graduate and undergraduate students, and members utilized three community psychology competencies: ecological perspectives, information dissemination/building public awareness, and community organizing and community advocacy in their work to improve resources and campus support for this issue.  Community Psychology Association members utilized focus groups with campus students, faculty, and staff to facilitate discussions on sexual assault, campus safety, and university and administrative accountability.  Content analysis revealed multiple themes that were used to generate a larger campus discussion and promote change in campus policies. As a result of these activities, major changes occurred at Wichita State, including data driven programming for interventions regarding sexual assault, changes in leadership in the offices of Title IX and Student Affairs, support for a CDC grant, and overall increased organizational awareness for sexual assault survivors.  This study highlights the importance of applying community psychology principles and concepts to research and action to ultimately have a positive and tangible impact on the local community

Using the community psychology competencies to address sexual assault on a college campus

Sexual assault on college campuses is a national issue, with a recent report from the White House estimating that 20% of women will experience a sexual assault during college.  Students at Wichita State University formed a campus organization to bring visibility to both community psychology and address this important problem.  The Community Psychology Association is comprised of both graduate and undergraduate students, and members utilized three community psychology competencies: ecological perspectives, information dissemination/building public awareness, and community organizing and community advocacy in their work to improve resources and campus support for this issue.  Community Psychology Association members utilized focus groups with campus students, faculty, and staff to facilitate discussions on sexual assault, campus safety, and university and administrative accountability.  Content analysis revealed multiple themes that were used to generate a larger campus discussion and promote change in campus policies. As a result of these activities, major changes occurred at Wichita State, including data driven programming for interventions regarding sexual assault, changes in leadership in the offices of Title IX and Student Affairs, support for a CDC grant, and overall increased organizational awareness for sexual assault survivors.  This study highlights the importance of applying community psychology principles and concepts to research and action to ultimately have a positive and tangible impact on the local community

Diurnal variations of resting-state fMRI data : a graph-based analysis

Circadian rhythms (lasting approximately 24 h) control and entrain various physiological processes, ranging from neural activity and hormone secretion to sleep cycles and eating habits. Several studies have shown that time of day (TOD) is associated with human cognition and brain functions. In this study, utilizing a chronotype-based paradigm, we applied a graph theory approach on resting-state functional MRI (rs-fMRI) data to compare whole-brain functional network topology between morning and evening sessions and between morning-type (MT) and evening-type (ET) participants. Sixty-two individuals (31 MT and 31 ET) underwent two fMRI sessions, approximately 1 hour (morning) and 10 h (evening) after their wake-up time, according to their declared habitual sleep-wake pattern on a regular working day. In the global analysis, the findings revealed the effect of TOD on functional connectivity (FC) patterns, including increased small-worldness, assortativity, and synchronization across the day. However, we identified no significant differences based on chronotype categories. The study of the modular structure of the brain at mesoscale showed that functional networks tended to be more integrated with one another in the evening session than in the morning session. Local/regional changes were affected by both factors (i.e., TOD and chronotype), mostly in areas associated with somatomotor, attention, frontoparietal, and default networks. Furthermore, connectivity and hub analyses revealed that the somatomotor, ventral attention, and visual networks covered the most highly connected areas in the morning and evening sessions: the latter two were more active in the morning sessions, and the first was identified as being more active in the evening. Finally, we performed a correlation analysis to determine whether global and nodal measures were associated with subjective assessments across participants. Collectively, these findings contribute to an increased understanding of diurnal fluctuations in resting brain activity and highlight the role of TOD in future studies on brain function and the design of fMRI experiments

Evidence for Smectite Clays from MSL SAM Analyses of Mudstone at Yellowknife Bay, Gale Crater, Mars

Drilled samples of mudstone from the Sheepbed unit at Yellowknife Bay were analyzed by MSL instruments including the Sample Analysis at Mars (SAM) and Chemistry and Mineralogy (CheMin) instruments in MSL's Analytical Laboratory. CheMin analyses revealed the first in situ X-ray diffraction based evidence of clay minerals on Mars, which are likely trioctahedral smectites (e.g., saponite) and comprise approx 20% of the mudstone sample (e.g., Bristow et al., this meeting). SAM analyses, which heated the mudstone samples to 1000 C and monitored volatiles evolved to perform in situ evolved gas analysis mass spectrometry (EGA-MS), resulted in a H2O trace exhibiting a wide evolution at temperatures < 500 C, and an evolution peak at higher temperatures near approx 750 C. The low temperature H2O evolution has many potential contributors, including adsorbed H2O, smectite interlayer H2O, and structural H2O/OH from bassanite and akaganeite (identified by CheMin) and H2O/OH from amorphous phases in the sample. The high temperature H2O is consistent with the evolution of H2O from the dehydroxylation of the smectite clay mineral. Comparison to EGA-MS data collected under SAM-like conditions on a variety of clay mineral reference materials indicate that a trioctahedral smectite, such as saponite, is most consistent with the high temperature H2O evolution observed. There may also be SAM EGA-MS evidence for a small high temperature H2O evolution from scoop samples from the Yellowknife Bay Rocknest sand shadow bedform. As in the mudstone samples, this evolution may indicate the detection of smectite clays, and the idea that minor clays may be present in Rocknest materials that could be expected to be at least partially derived from local sources is reasonable. But, because smectite clays were not definitively observed in CheMin analyses of Rocknest materials, they must be present at much lower abundances than the approx 20% observed in the mudstone samples. This potential detection underscores the complementary nature of the MSL CheMin and SAM instruments for investigations of martian sample mineralogy. Information on the nature of Yellowknife Bay clay minerals may also be available from the detection of H2 evolved during SAM EGA-MS at high temperature. A likely source of at least some of this H2 is H2O evolved from the smectite clays at high temperature, and it is possible these evolutions can be used in a similar fashion to high temperature H2O releases to provide constraints on the clay minerals in a sample. In addition, the D/H of this high temperature H2, as well as the H2O, can be derived from SAM MS and Tunable Laser Spectrometer (TLS) data, respectively. These D/H values may help to inform the provenance of high and low temperature water evolved from martian sample

Integrated Analysis of Clinical and Microbiome Risk Factors Associated with the Development of Oral Candidiasis during Cancer Chemotherapy.

Oral candidiasis is a common side effect of cancer chemotherapy. To better understand predisposing factors, we followed forty-five subjects who received 5-fluorouracil- or doxorubicin-based treatment, during one chemotherapy cycle. Subjects were evaluated at baseline, prior to the first infusion, and at three additional visits within a two-week window. We assessed the demographic, medical and oral health parameters, neutrophil surveillance, and characterized the salivary bacteriome and mycobiome communities through amplicon high throughput sequencing. Twenty percent of all subjects developed oral candidiasis. Using multivariate statistics, we identified smoking, amount of dental plaque, low bacteriome and mycobiome alpha-diversity, and the proportions of specific bacterial and fungal taxa as baseline predictors of oral candidiasis development during the treatment cycle. All subjects who developed oral candidiasis had baseline microbiome communities dominated by Candida and enriched in aciduric bacteria. Longitudinally, oral candidiasis was associated with a decrease in salivary flow prior to lesion development, and occurred simultaneously or before oral mucositis. Candidiasis was also longitudinally associated with a decrease in peripheral neutrophils but increased the neutrophil killing capacity of Candida albicans. Oral candidiasis was not found to be associated with mycobiome structure shifts during the cycle but was the result of an increase in Candida load, with C. albicans and Candida dubliniensis being the most abundant species comprising the salivary mycobiome of the affected subjects. In conclusion, we identified a set of clinical and microbiome baseline factors associated with susceptibility to oral candidiasis, which might be useful tools in identifying at risk individuals, prior to chemotherapy

HE3286, an oral synthetic steroid, treats lung inflammation in mice without immune suppression

<p>Abstract</p> <p>Background</p> <p>17α-Ethynyl-5-androsten-3β, 7β, 17β-triol (HE3286) is a synthetic derivative of an endogenous steroid androstenetriol (β-AET), a metabolite of the abundant adrenal steroid deyhdroepiandrosterone (DHEA), with broad anti-inflammatory activities. We tested the ability of this novel synthetic steroid with improved pharmacological properties to limit non-productive lung inflammation in rodents and attempted to gauge its immunological impact.</p> <p>Methods and Results</p> <p>In mice, oral treatment with HE3286 (40 mg/kg) significantly (<it>p </it>< 0.05) decreased neutrophil counts and exudate volumes (~50%) in carrageenan-induced pleurisy, and myeloperoxidase in lipopolysaccharide-induced lung injury. HE3286 (40 mg/kg) was not found to be profoundly immune suppressive in any of the classical animal models of immune function, including those used to evaluate antigen specific immune responses <it>in vivo </it>(ovalbumin immunization). When mice treated for two weeks with HE3286 were challenged with <it>K. pneumoniae</it>, nearly identical survival kinetics were observed in vehicle-treated, HE3286-treated and untreated groups.</p> <p>Conclusions</p> <p>HE3286 represents a novel, first-in-class anti-inflammatory agent that may translate certain benefits of β-AET observed in rodents into treatments for chronic inflammatory pulmonary disease.</p

Mutational landscape of candidate genes in familial prostate cancer

Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/108266/1/pros22849-sm-0001-SupTab-S1.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/108266/2/pros22849.pd