82 research outputs found

    Engineering Submission Portal

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    One of the requirements for all engineering students at Santa Clara University is to complete a senior design project. The senior design project is a year-long group project (with team sizes of typically 2-4 people) in which students work with faculty advisors to develop a product, idea, or applied research in the field of their study. This work is structured through the senior design class in which students receive information about the due dates and formats of their deliverables. Currently, senior design projects are submitted on printed paper. This method is unreliable as papers may become lost or unorganized resulting in a delayed review process. Printing multiple copies of reports is also not environmentally friendly and it can be overly complicated for interdisciplinary groups with multiple advisors. As an alternative, we propose using an online web portal to handle the senior design submission process. By using a service that is tailor-made for senior design, the website will ensure that the senior design submission process is smooth, easy, and reliable for everyone

    LLM3D: a log-linear modeling-based method to predict functional gene regulatory interactions from genome-wide expression data

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    All cellular processes are regulated by condition-specific and time-dependent interactions between transcription factors and their target genes. While in simple organisms, e.g. bacteria and yeast, a large amount of experimental data is available to support functional transcription regulatory interactions, in mammalian systems reconstruction of gene regulatory networks still heavily depends on the accurate prediction of transcription factor binding sites. Here, we present a new method, log-linear modeling of 3D contingency tables (LLM3D), to predict functional transcription factor binding sites. LLM3D combines gene expression data, gene ontology annotation and computationally predicted transcription factor binding sites in a single statistical analysis, and offers a methodological improvement over existing enrichment-based methods. We show that LLM3D successfully identifies novel transcriptional regulators of the yeast metabolic cycle, and correctly predicts key regulators of mouse embryonic stem cell self-renewal more accurately than existing enrichment-based methods. Moreover, in a clinically relevant in vivo injury model of mammalian neurons, LLM3D identified peroxisome proliferator-activated receptor γ (PPARγ) as a neuron-intrinsic transcriptional regulator of regenerative axon growth. In conclusion, LLM3D provides a significant improvement over existing methods in predicting functional transcription regulatory interactions in the absence of experimental transcription factor binding data

    Beytraege zur Bergbaukunde

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    [August Beyer]TitelkupferUrheberangabe von b₂vers

    Mathematische Abhandlung

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    vom Professor BeyerIn FrakturGeeignetere Auflösungsmethode der numerischen gemischten Gleichungen vom dritten und von einem höheren Grade zu einer leichten Berechnung der Werthe der Unbekannten

    M. Augusti Beyeri Memoriae Historico-Criticæ Librorum Rariorum, Accedunt Evangeli Cosmopolitani Notæ ad Jo. Burch. Menckenii De Charletaneria Eruditorum Declamationes, in quibus exempla nonnulla præcipue Hispanorum adferuntur.

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    Die Vorlage enth. insgesamt 2 WerkeAutopsie nach Ex. der ULB Sachsen-AnhaltVorlageform des Erscheinungsvermerks: Dresdæ & Lipsiæ Apud Fridericum Hekel, 1734

    Kleine Lieder

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