48 research outputs found

    Notes on Recent Cases

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    Notes on recent cases by Seymour Weisberger, Lawrence Crowley, William L. Travis, Fred Ruiz, and Luther M. Swygert

    Relief of branch pulmonary artery stenosis reduces pulmonary valve insufficiency in a swine model

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    ObjectiveWe sought to determine the impact of relieving branch pulmonary artery stenosis on pulmonary valve insufficiency and right ventricular function. Long-standing pulmonary insufficiency causes progressive right ventricular dilatation, leading to decreased right ventricular function. Adults with pulmonary insufficiency are at risk of decreased exercise tolerance, arrhythmias, and sudden cardiac death. Branch pulmonary artery stenosis frequently occurs in these patients, and the presence of branch stenosis may exacerbate valve insufficiency.MethodsNeonatal piglets (n = 7) underwent surgery to create pulmonary insufficiency and left pulmonary artery stenosis. At 3 months of age, the animals underwent baseline cardiac magnetic resonance imaging followed by stenting of the left pulmonary artery. A repeat magnetic resonance imaging scan was performed 1 week after intervention. Magnetic resonance imaging evaluation included (1) velocity mapping to assess the forward and reverse flow at the main, left and right pulmonary arteries, and aorta; and (2) volumetric assessment of the right ventricle.ResultsLeft pulmonary artery flow increased from 14.5% to 36.3% of total net flow after stenting (P < .01). Pulmonary regurgitation decreased from 38.7% to 27.4% (P < .02). Right ventricular ejection fraction improved from a median of 53.5% to 58.2% after stenting (P < .01). Cardiac index improved from a median of 2.7 to 3.5 L/min/m2 (P = .01).ConclusionRelief of branch pulmonary artery stenosis reduces insufficiency and improves right ventricular systolic function in this animal model. This supports the practice of aggressive intervention in patients with branch pulmonary artery stenosis and pulmonary insufficiency

    Synthesis, Characterisation, and Preliminary In Vitro Studies of Vanadium(IV) Complexes with a Schiff Base and Thiosemicarbazones as Mixed Ligands

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    [VO(sal‐L‐tryp)(H2O)] (1, sal‐L‐tryp = N‐salicylidene‐L‐tryptophanate) was used as a precursor to produce the new complexes [VO(sal‐L‐tryp)(MeATSC)]·1.5C2H5OH [2, MeATSC = 9‐Anthraldehyde‐N(4)‐methylthiosemicarbazone], [VO(sal‐L‐tryp)(N‐ethhymethohcarbthio)]·H2O [3, N‐ethhymethohcarbthio = (E)‐N‐ethyl‐2‐(4‐hydroxy‐3‐methoxybenzylidene)hydrazinecarbothioamide] and [VO(sal‐L‐tryp)(acetylethTSC)]·C2H5OH {4, acetylethTSC = (E)‐N‐ethyl‐2‐[1‐(thiazol‐2‐yl)ethylidene]hydrazinecarbothioamide} by reaction with the respective thiosemicarbazone. The chemical and structural properties of these ligands and complexes were characterised by elemental analysis, ESI‐MS, FTIR, UV/Vis, ESR and 1H and 13C NMR spectroscopy and X‐ray crystallography. Dimethyl sulfoxide (DMSO) and [D6]DMSO solutions of 1–4 were oxidised in air to produce vanadium(V) species, which were verified by ESI‐MS and 51V NMR spectroscopy. The anticancer properties of 2–4 were examined with three colon cancer cell lines, HTC‐116, Caco‐2 and HT‐29, and noncancerous colonic myofibroblasts, CCD18‐Co. Compounds 2–3 exhibited less inhibitory effects in the CCD‐18Co cells, which indicates a possible cytotoxic selectivity towards colon cancer cells. In general, compounds that exhibit antiproliferative activity to cancer cells but do not affect noncancerous cells may have a potential in chemotherapy

    Time and Encoding Effects in the Concealed Knowledge Test

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    Although the traditional “lie detector” test is used frequently in forensic contexts, it has (like most test of deception) some limitations. The concealed knowledge test (CKT) focuses on participants’ recognition of privileged knowledge rather than lying per-se and has been studied extensively using a variety of measures. A “guilty” suspect’s interaction with and memory of crimescene items may vary. Furthermore, memory for crimescene items may diminish over time. The interaction of encoding quality and test delay on CKT efficiency has been previously implied, but not yet demonstrated. We used a response-time based CKT to detect concealed knowledge from shallow and deep study procedures after 10-min, 24-h, and 1-week delays. Results show that more elaborately encoded information afforded higher detection accuracy than poorly encoded items. Although classification accuracy following deep study was unaffected by delay, detection of poorly elaborated information was initially high, but compromised after 1 week. Thus, choosing optimal test items requires considering both test delay and initial encoding level

    Finishing the euchromatic sequence of the human genome

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    The sequence of the human genome encodes the genetic instructions for human physiology, as well as rich information about human evolution. In 2001, the International Human Genome Sequencing Consortium reported a draft sequence of the euchromatic portion of the human genome. Since then, the international collaboration has worked to convert this draft into a genome sequence with high accuracy and nearly complete coverage. Here, we report the result of this finishing process. The current genome sequence (Build 35) contains 2.85 billion nucleotides interrupted by only 341 gaps. It covers ∼99% of the euchromatic genome and is accurate to an error rate of ∼1 event per 100,000 bases. Many of the remaining euchromatic gaps are associated with segmental duplications and will require focused work with new methods. The near-complete sequence, the first for a vertebrate, greatly improves the precision of biological analyses of the human genome including studies of gene number, birth and death. Notably, the human enome seems to encode only 20,000-25,000 protein-coding genes. The genome sequence reported here should serve as a firm foundation for biomedical research in the decades ahead

    A EPIC model of the Guilty Knowledge Effect: Strategic and automatic processes in recognition.

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    Accurate, reliable and valid measures of lying have eluded clinicians for decades. Attempts to use indirect physiological measures (e.g., skin conductance) (e.g., Reid & Inbau, 1977) have produced hit rates ranging from 50% to 100% and false alarm rates ranging from 0% to 50% (see Bashore & Rapp, 1993). Such high false alarm rates are unacceptable in a legal system with a high premium on acquitting those who are innocent, and have led several researchers to concentrate their efforts on the detection of Guilty Knowledge (e.g., Lykken, 198 1) instead. For example, Farwell and Donchin (1991), used the P300 component of event-related brain potentials (ERP), typically associated with familiarity (e.g., Fabiani, Gratton, Karis, & Donchin, 1987), to distinguish those who had participated in a mock crime from those who had not. Guilty Knowledge tasks are relevant to cognitive psychology because they are similar to tasks traditionally used in studying recognition memory. A series of experiments examined the effect of Guilty Knowledge (GKE) on recognition. Experiment I used reaction times (RT) and accuracy as measures and knowledge, at least as accurate and more reliable than P300-based tests. Experiment 2 addressed a previous suggestion that RT is too malleable to serve as an effective measure in a test of guilty knowledge. It showed that motivated subjects informed about how the test works were unable to appear innocent when they were in fact guilty of the mock crime being tested. Furthermore an individual subject analysis method yielded a hit rate of 98% and a false alarm rate of 0%. To understand the strategies used in performing this task, and especially those that may be use to beat the test, a model of the GKE has been developed in terms of traditional theories of recognition memory (e.g., Gillund & Shiffrin, 1984). It suggests that performance in the present task is mediated by response-conflict monitoring (e.g., Carter-et al., 1998) and executive processes that attempt to protect intentional response-strategies from the effects of automatic response tendencies. This model was simulated using the EPIC computational architecture (e.g., Meyer & Kieras, 1997) and achieved accurate and precise quantitative fits to the observed data.Ph.D.Cognitive psychologyPsychologyUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/132883/2/9990981.pd
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