164 research outputs found

    College of Business, Business Career Accelerator, Qualitative Research Study on Student Involvement in Professional Development Activities

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    The creation and execution of this project began by analyzing the honors project specifications, to design a project that met the Honors College criteria. To meet these criteria, a market research study was conducted to assist the College of Business’s Business Career Accelerator management in understanding the student market of the College of Business. In addition, the study’s goal is to make recommendations utilizing marketing and education frameworks to maintain and increase student usage of the center. The project was executed using traditional market research frameworks, which required conducting in-depth interviews of College of Business students to determine student attitudes and behaviors towards professional development and usage of the Business Career Accelerator. The College of Business student market was then segmented based on typical usage behaviors. A ‘validity check’ was also conducted with management of the Business Career Accelerator, which compared management’s understanding of student attitudes and behaviors with the student responses received from the in-depth interviews. After conducting the in-depth interviews, several barriers to student participation in the Business Career Accelerator were identified. These barriers were identified and analyzedby applying relevant marketing and education frameworks identified by interviewing College of Education faculty and industry professionals at Root Inc., a center which focuses on implementing strategic change in organizations. Following marketing and education methods, tentative recommendations were made based on the education frameworks, to address the barriers to student participation that were identified in the qualitative interviews. Feedback was then sought on these recommendations, by conducting a focus group with a group of senior level College of Business students. The focus group sought student feedback that would help to adapt or further refine these career development suggestions. Following the focus group, the career development suggestions were adapted to reflect student input. Finally, the results of this study were presented to a market research course of approximately fifty students. Students attending the presentation provided more feedback on the recommendations prior to the development of this report, and its presentation to the Honors College and Business Career Accelerator’s management for implementation

    Fertility, Belief, and Sexuality

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    The human ovulatory cycle lasts an average of 28 days and is highly variable both within and among women, making ovulation and the fertile window difficult to estimate in humans. Commonly used methods for estimating fertility assume length consistency during various cycle phases, an assumption that often miscategorizes women as fertile when not and vice versa. This experiment analyzes several of the common methods used to estimate fertility, including forwards and backwards-counting methods and actuarial methods, and compares them against hormonal testing to determine the most accurate method for fertility identification. Additionally, we used hormonal ovulation tests combined with daily journaling reports to determine the degree to which fertility affects sexual desire, likely sexual engagement, and general happiness, as well as a woman’s belief that she is fertile. We hypothesize that women will not be able to accurately predict their fertility and will show increased sexual interest and general happiness during the fertile window. We also hypothesize that estimation methods will have different results than those using confirmed fertility, but that the closest estimation will be backward counting methods estimating fertility as the six-day window ending at thirteen days from the start of menses

    Tuft-cell-intrinsic and -extrinsic mediators of norovirus tropism regulate viral immunity

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    Murine norovirus (MNoV) is a model for human norovirus and for interrogating mechanisms of viral tropism and persistence. We previously demonstrated that the persistent strain MNo

    Quantum hydrodynamics

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    Quantum hydrodynamics in superfluid helium and atomic Bose-Einstein condensates (BECs) has been recently one of the most important topics in low temperature physics. In these systems, a macroscopic wave function appears because of Bose-Einstein condensation, which creates quantized vortices. Turbulence consisting of quantized vortices is called quantum turbulence (QT). The study of quantized vortices and QT has increased in intensity for two reasons. The first is that recent studies of QT are considerably advanced over older studies, which were chiefly limited to thermal counterflow in 4He, which has no analogue with classical traditional turbulence, whereas new studies on QT are focused on a comparison between QT and classical turbulence. The second reason is the realization of atomic BECs in 1995, for which modern optical techniques enable the direct control and visualization of the condensate and can even change the interaction; such direct control is impossible in other quantum condensates like superfluid helium and superconductors. Our group has made many important theoretical and numerical contributions to the field of quantum hydrodynamics of both superfluid helium and atomic BECs. In this article, we review some of the important topics in detail. The topics of quantum hydrodynamics are diverse, so we have not attempted to cover all these topics in this article. We also ensure that the scope of this article does not overlap with our recent review article (arXiv:1004.5458), "Quantized vortices in superfluid helium and atomic Bose--Einstein condensates", and other review articles.Comment: 102 pages, 29 figures, 1 tabl

    Mutations in TUBG1, DYNC1H1, KIF5C and KIF2A cause malformations of cortical development and microcephaly.

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    International audienceThe genetic causes of malformations of cortical development (MCD) remain largely unknown. Here we report the discovery of multiple pathogenic missense mutations in TUBG1, DYNC1H1 and KIF2A, as well as a single germline mosaic mutation in KIF5C, in subjects with MCD. We found a frequent recurrence of mutations in DYNC1H1, implying that this gene is a major locus for unexplained MCD. We further show that the mutations in KIF5C, KIF2A and DYNC1H1 affect ATP hydrolysis, productive protein folding and microtubule binding, respectively. In addition, we show that suppression of mouse Tubg1 expression in vivo interferes with proper neuronal migration, whereas expression of altered Îł-tubulin proteins in Saccharomyces cerevisiae disrupts normal microtubule behavior. Our data reinforce the importance of centrosomal and microtubule-related proteins in cortical development and strongly suggest that microtubule-dependent mitotic and postmitotic processes are major contributors to the pathogenesis of MCD

    A Search for Technosignatures Around 11,680 Stars with the Green Bank Telescope at 1.15-1.73 GHz

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    We conducted a search for narrowband radio signals over four observing sessions in 2020-2023 with the L-band receiver (1.15-1.73 GHz) of the 100 m diameter Green Bank Telescope. We pointed the telescope in the directions of 62 TESS Objects of Interest, capturing radio emissions from a total of ~11,680 stars and planetary systems in the ~9 arcminute beam of the telescope. All detections were either automatically rejected or visually inspected and confirmed to be of anthropogenic nature. In this work, we also quantified the end-to-end efficiency of radio SETI pipelines with a signal injection and recovery analysis. The UCLA SETI pipeline recovers 94.0% of the injected signals over the usable frequency range of the receiver and 98.7% of the injections when regions of dense RFI are excluded. In another pipeline that uses incoherent sums of 51 consecutive spectra, the recovery rate is ~15 times smaller at ~6%. The pipeline efficiency affects calculations of transmitter prevalence and SETI search volume. Accordingly, we developed an improved Drake Figure of Merit and a formalism to place upper limits on transmitter prevalence that take the pipeline efficiency and transmitter duty cycle into account. Based on our observations, we can state at the 95% confidence level that fewer than 6.6% of stars within 100 pc host a transmitter that is detectable in our search (EIRP > 1e13 W). For stars within 20,000 ly, the fraction of stars with detectable transmitters (EIRP > 5e16 W) is at most 3e-4. Finally, we showed that the UCLA SETI pipeline natively detects the signals detected with AI techniques by Ma et al. (2023).Comment: 22 pages, 9 figures, submitted to AJ, revise

    The NANOGrav 15-year Data Set: Evidence for a Gravitational-Wave Background

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    We report multiple lines of evidence for a stochastic signal that is correlated among 67 pulsars from the 15-year pulsar-timing data set collected by the North American Nanohertz Observatory for Gravitational Waves. The correlations follow the Hellings-Downs pattern expected for a stochastic gravitational-wave background. The presence of such a gravitational-wave background with a power-law-spectrum is favored over a model with only independent pulsar noises with a Bayes factor in excess of 101410^{14}, and this same model is favored over an uncorrelated common power-law-spectrum model with Bayes factors of 200-1000, depending on spectral modeling choices. We have built a statistical background distribution for these latter Bayes factors using a method that removes inter-pulsar correlations from our data set, finding p=10−3p = 10^{-3} (approx. 3σ3\sigma) for the observed Bayes factors in the null no-correlation scenario. A frequentist test statistic built directly as a weighted sum of inter-pulsar correlations yields p=5×10−5−1.9×10−4p = 5 \times 10^{-5} - 1.9 \times 10^{-4} (approx. 3.5−4σ3.5 - 4\sigma). Assuming a fiducial f−2/3f^{-2/3} characteristic-strain spectrum, as appropriate for an ensemble of binary supermassive black-hole inspirals, the strain amplitude is 2.4−0.6+0.7×10−152.4^{+0.7}_{-0.6} \times 10^{-15} (median + 90% credible interval) at a reference frequency of 1/(1 yr). The inferred gravitational-wave background amplitude and spectrum are consistent with astrophysical expectations for a signal from a population of supermassive black-hole binaries, although more exotic cosmological and astrophysical sources cannot be excluded. The observation of Hellings-Downs correlations points to the gravitational-wave origin of this signal.Comment: 30 pages, 18 figures. Published in Astrophysical Journal Letters as part of Focus on NANOGrav's 15-year Data Set and the Gravitational Wave Background. For questions or comments, please email [email protected]
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