Untangling a Web of Lies: Exploring Automated Detection of Deception in Computer-Mediated Communication

Safeguarding organizations against opportunism and severe deception in computer-mediated communication (CMC) presents a major challenge to CIOs and IT managers. New insights into linguistic cues of deception derive from the speech acts innate to CMC. Applying automated text analysis to archival email exchanges in a CMC system as part of a reward program, we assess the ability of word use (micro-level), message development (macro-level), and intertextual exchange cues (meta-level) to detect severe deception by business partners. We empirically assess the predictive ability of our framework using an ordinal multilevel regression model. Results indicate that deceivers minimize the use of referencing and self-deprecation but include more superfluous descriptions and flattery. Deceitful channel partners also over structure their arguments and rapidly mimic the linguistic style of the account manager across dyadic e-mail exchanges. Thanks to its diagnostic value, the proposed framework can support firms’ decision-making and guide compliance monitoring system development

Protocol for collection and separation of bone marrow mononuclear cells in Chlorocebus aethiops

Abstract: Chlorocebus aethiops is a species of non-human primate frequently used in biomedical research. Some research involves this species as an experimental model for various diseases and possible treatment with stem cells. The bone marrow is one of the main sources of these cells and provides easy access. The aim of this study was to standardize the protocol of collection and separation of bone marrow in C. aethiops. Ten animals were submitted to puncture of bone marrow with access to the iliac crest and cell separation by density gradient. The bone marrow of C. aethiops had an average of 97% viability. From the results achieved, we can conclude that C. aethiops is an excellent model to obtain and isolate mononuclear cells from bone marrow, fostering several studies in the field of cell therapy

Impact of Si substrate resistivity on the non-linear behaviour of RF CPW transmission lines

Non-linear behaviour of RF coplanar transmission lines is analyzed for various values of Si substrate resistivitiy. Based on small-signal measurements performed under different DC bias conditions, voltage dependent capacitance and conductance per unit length of the transmission line are extracted and compared for several silicon substrates. Harmonic distortion of large RF signal at 900 MHz along CPW lines is measured using a spectrum analyzer based setup as well as with a LSNA which gives us access to the phase of the harmonic components. For an input power of +25 dBm, the highest harmonic component (2/sup nd/) is as high as -15, -57, -37 and -63 dBm for resistivity substrates of 20, 500, 5 k and 2 k Omega -cm, respectively. A reduction of 45 and 15 dB for all harmonic components was obtained for the 5 and 2 k Omega -cm HR-Si substrates, respectively, when a trap-rich passivation layer was used at the Si/SiO/sub 2/ interface, and for both characterization setups. The impact of the resistivity value on signal distortion with its relation to the bias-dependence substrate characteristic and the efficiency of the trap mechanism of the passivation layer are for the first time introduced from experimental result considerations.Anglai