4,751 research outputs found

    Applying Science Fiction to Course Design - A case of computer science

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    Entry-level technical and scientific courses are provided for both tech and non-tech students in universities. Currently, the teaching materials used in these courses are mainly academic papers and real business cases. Learning with only formal materials that are full of terminologies is lacking pleasure and challenging for entry-level students. Previous studies also show that teaching technology and science with science fiction (SF) could have many benefits, including can successfully engage students (Vrasidas et al., 2015), let students remember knowledge a longer time (Negrete & Lartigue, 2010), and brings up discussions about ethics (Burton, Goldsmith & Mattei, 2015). However, a study focuses on teaching computer science with SF materials is lacking. This study focuses on applying SF to teaching computer science. A case study is conducted. An SF video: Hated in the Nation is selected as additional teaching material for the course Introduction to Artificial Intelligence. Students who enrolled in the course voluntarily join the research. A questionnaire and an open question are used for data gathering. Both the students’ answers to the questionnaire and to the open questions are analysed to answer the research questions: 1) What are the attitudes of students to using SF in teaching AI? 2) How does watching the SF stories Hated in the Nation support students in learning AI at entry level? The results of the case study demonstrate that the benefits of including Hated in the Nation as an additional learning material can be summarized as three points: 1). making the learning process more interesting, 2) inspiring students from many perspectives, and 3) enhancing students’ critical thinking. The main challenges of teaching with Hated in the Nation are: 1) learning with Hated in the Nation has a relatively low learning-time ratio, 2) Hated in the Nation contains exaggerating AI technology, 3) and explanation about AI technology is limited in Hated in the Nation. Overall, the results of the study encourage educators using SFs to introduce technology concepts and science theories at entry level, and also using SFs to teach ethics related to technology and science development. Which needs to be clarified is that SFs should be used as additional materials to increase the diversity of teaching activities and increase learners’ interests in learning. SFs are not a replacement of formal and traditional teaching materials

    Local anaesthetic bupivacaine induced ovarian and prostate cancer apoptotic cell death and underlying mechanisms in vitro

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    Retrospective studies indicate that the use of regional anesthesia can reduce cancer recurrence after surgery which could be due to ranging from immune function preservation to direct molecular mechanisms. This study was to investigate the effects of bupivacaine on ovarian and prostate cancer cell biology and the underlying molecular mechanisms. Cell viability, proliferation and migration of ovarian carcinoma (SKOV-3) and prostate carcinoma (PC-3) were examined following treatment with bupivacaine. Cleaved caspase 3, 8 and 9, and GSK-3β, pGSK-3β(tyr216) and pGSK-3β(ser9) expression were assessed by immunofluorescence. FAS ligand neutralization, caspase and GSK-3 inhibitors and GSK-3β siRNA were applied to further explore underlying mechanisms. Clinically relevant concentrations of bupivacaine reduced cell viability and inhibited cellular proliferation and migration in both cell lines. Caspase 8 and 9 inhibition generated partial cell death reversal in SKOV-3, whilst only caspase 9 was effective in PC-3. Bupivacaine increased the phosphorylation of GSK-3β(Tyr216) in SKOV-3 but without measurable effect in PC3. GSK-3β inhibition and siRNA gene knockdown decreased bupivacaine induced cell death in SKOV-3 but not in PC3. Our data suggests that bupivacaine has direct ‘anti-cancer’ properties through the activation of intrinsic and extrinsic apoptotic pathways in ovarian cancer but only the intrinsic pathway in prostate cancer

    Rapid and label-free identification of single leukemia cells from blood in a high-density microfluidic trapping array by fluorescence lifetime imaging microscopy.

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    The rapid screening and isolation of single leukemia cells from blood has become critical for early leukemia detection and tumor heterogeneity interrogation. However, due to the size overlap between leukemia cells and the more abundant white blood cells (WBCs), the isolation and identification of leukemia cells individually from peripheral blood is extremely challenging and often requires immunolabeling or cytogenetic assays. Here we present a rapid and label-free single leukemia cell identification platform that combines: (1) high-throughput size-based separation of hemocytes via a single-cell trapping array, and (2) leukemia cell identification through phasor approach and fluorescence lifetime imaging microscopy (phasor-FLIM), to quantify changes between free/bound nicotinamide adenine dinucleotide (NADH) as an indirect measurement of metabolic alteration in living cells. The microfluidic trapping array designed with 1600 highly-packed addressable single-cell traps can simultaneously filter out red blood cells (RBCs) and trap WBCs/leukemia cells, and is compatible with low-magnification imaging and fast-speed fluorescence screening. The trapped single leukemia cells, e.g., THP-1, Jurkat and K562 cells, are distinguished from WBCs in the phasor-FLIM lifetime map, as they exhibit significant shift towards shorter fluorescence lifetime and a higher ratio of free/bound NADH compared to WBCs, because of their glycolysis-dominant metabolism for rapid proliferation. Based on a multiparametric scheme comparing the eight parameter-spectra of the phasor-FLIM signatures, spiked leukemia cells are quantitatively distinguished from normal WBCs with an area-under-the-curve (AUC) value of 1.00. Different leukemia cell lines are also quantitatively distinguished from each other with AUC values higher than 0.95, demonstrating high sensitivity and specificity for single cell analysis. The presented platform is the first to enable high-density size-based single-cell trapping simultaneously with RBC filtering and rapid label-free individual-leukemia-cell screening through non-invasive metabolic imaging. Compared to conventional biomolecular diagnostics techniques, phasor-FLIM based single-cell screening is label-free, cell-friendly, robust, and has the potential to screen blood in clinical volumes through parallelization

    Ownership structure and financial constraints: Evidence from a structural estimation

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    This article examines the impact of the divergence between corporate insiders' control rights and cash-flow rights on firms' external finance constraints via generalized method of moments estimation of an investment Euler equation. Using a large sample of U.S. firms during the 1994–2002 period, we find that the shadow value of external funds is significantly higher for companies with a wider insider control-ownership divergence, suggesting that companies whose corporate insiders have larger excess control rights are more financially constrained. The effect of insider excess control rights on external finance constraints is more pronounced for firms with higher degrees of informational opacity and for firms with financial misreporting, and is moderated by institutional ownership. The results show that the agency problems associated with the control-ownership divergence can have a real impact on corporate financial and investment outcomes.postprin

    Corporate ownership structure and bank loan syndicate structure

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    Using a novel data set on corporate ownership and control, we show that the divergence between the control rights and cash-flow rights of a borrowing firm's largest ultimate owner has a significant impact on the concentration and composition of the firm's loan syndicate. When the control-ownership divergence is large, lead arrangers form syndicates with structures that facilitate enhanced due diligence and monitoring efforts. These syndicates tend to be relatively concentrated and composed of domestic banks that are geographically close to the borrowing firms and that have lending expertise related to the industries of the borrowers. We also examine factors that influence the relation between ownership structure and syndicate structure, including lead arranger reputation, prior lending relationship, borrowing firm informational opacity, presence of multiple large owners, laws and institutions, and financial crises.postprin
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