238,465 research outputs found
Angiography Simulation Video Using A Silicone Vessel Model
Teaching video for medical students showing the following steps:
vessel puncture and sheath placement, guiding the wire and catheter
into the aorta and the contralateral common iliac artery, inserting a balloon,
performing a percutaneous transluminal angioplasty, and finally removing the
catheter and balloon step by step
Predicting Survival after Transarterial Chemoembolization for Hepatocellular Carcinoma Using a Neural Network: A Pilot Study
This repository enables external validation of the artificial neural network published in our article with the same title using the pretrained ANN as described in the manuscript.
The parameters included in the model are:
Demographics
- Gender = 'MALE' or 'FEMALE'
- BCLC = Barcelona Clinic Liver Cancer staging system (values: A, B, C, D)
- Age = age at second TACE, in years
Etiology / concomitant disease
- Nicotine abuse, Obesity, Diabetes, Etiology alcohol (in case of liver cirrhosis due to alcohol abuse), Etiology HBV (in case of liver cirrhosis due to chronic hepatitis B infection), Etiology HCV (in case of liver cirrhosis due to chronic hepatitis C infection), Etiology NASH (in case of NASH), Etiology unknown (in case of liver cirrhosis of unknown etiology). All these parameters can take values: 0 = false and 1 = true.
Tumor related
- Baseline tumor number = number of tumor lesions at baseline
- Diffuse tumor = diffuse tumor growth pattern (values: 0 = nodular pattern and 1 = diffuse pattern)
- Tumor size 1st, Tumor size 2nd: mRECIST evaluation of cross-sectional imaging prior to first and prior to second TACE
- Treatment response: radiological response after first TACE (values: 0 = false and 1 = true)
Laboratory / liver function
- Sodium 1st, Sodium 2nd, Bilirubin 1st, Bilirubin 2nd, Albumin 1st, Albumin 2nd, AST 1st, AST 2nd, ALT 1st, ALT 2nd, INR 1st, INR 2nd, Thrombocyte count 1st, Thrombocyte count 2nd, AFP 1st, AFP 2nd: laboratory values prior to first and prior to second TACE
- Child Pugh score 1st, Child Pugh score 2nd, MELD score 1st, MELD score 2nd: Child Pugh and MELD score prior to first and prior to second TACE
Sarcopenia
- SMI 1st, SMI 2nd: skeletal muscle index/psoas muscle index measured at the level of the L3 vertebrae prior to first and prior to second TACE
Type of TACE:
- TACE = 'cTACE' or 'DEB-TACE'
Imaging used for response evaluation prior to second TACE:
- Imaging = 'CT' or 'MRI
Predicting patient survival after TACE for HCC using a neural network: A promising tool
This repository enables external validation of the artificial neural network published in https://doi.org/... using the pretrained neural network as described in the manuscript.
The parameters included in the model are:
Demographics
- gender = 'MALE' or 'FEMALE'
- bclc = Barcelona Clinic Liver Cancer staging system (values: 0, A, B, C, D)
- age = age at second TACE, in years
Etiology / concomitant disease
- nicotine, obesity, diabetes, etiology_alcohol (in case of liver cirrhosis due to alcohol abuse), etiology_hbv (in case of liver cirrhosis due to chronic hepatitis B infection), etiology_hcv (in case of liver cirrhosis due to chronic hepatitis C infection), and etiology_unknown (in case of liver cirrhosis of unknown etiology). All these parameters can take values: 0 = false and 1 = true
Tumor related
- baseline_tumornumber = number of tumor lesions at baseline
- baseline_diffuse_tumor = diffuse tumor growth pattern (values: 0 = nodular pattern and 1 = diffuse pattern)
- mRECIST_1st, mRECIST_2nd: mRECIST evaluation of cross-sectional imaging prior to first and prior to second TACE
- response: radiological response after first TACE (values: 0 = false and 1 = true)
Laboratory / liver function
- natrium_1st, natrium_2nd, bilirubin_1st, bilirubin_2nd, albumin_1st, albumin_2nd, got_1st, got_2nd, gpt_1st, gpt_2nd, inr_1st, inr_2nd, thrombocytes_1st, thrombocytes_2nd, afp_1st, afp_2nd: laboratory values prior to first and prior to second TACE
- child_score_1st, child_score_2nd, meld_1st, meld_2nd: Child Pugh and MELD score prior to first and prior to second TACE
Sarcopenia
- smi_1st, smi_2nd: skeletal muscle index/psoas muscle index measured at the level of the L3 vertebrae prior to first and prior to second TAC
A 2 h periodic variation in the low-mass X-ray binary Ser X-1
Spectroscopy of the low-mass X-ray binary Ser X-1 using the Gran Telescopio Canarias have revealed a ?2 h periodic variability that is present in the three strongest emission lines. We tentatively interpret this variability as due to orbital motion, making it the first indication of the orbital period of Ser X-1. Together with the fact that the emission lines are remarkably narrow, but still resolved, we show that a main-sequence K dwarf together with a canonical 1.4 M? neutron star gives a good description of the system. In this scenario, the most likely place for the emission lines to arise is the accretion disc, instead of a localized region in the binary (such as the irradiated surface or the stream-impact point), and their narrowness is due instead to the low inclination (?10°) of Ser X-1
Review of the book Unbegrenzte moglichkeiten: Amerikanisierung in Deutschland und Frankreich (1900-1933) by Egbert Klautke
Dr. Jeff R. Schutts (Douglas College) reviews the book Unbegrenzte Moglichkeiten: Amerikanisierung in Deutschland und Frankreich (1900-1933) by Egbert Klautke (2005).Final article published
Letter from R. H. Ford to Commissioner of Indian Affairs, 1860
R. H. Ford (letter author) is the brother of Henry L. Ford. The letter asks if the recently deceased Henry L. Ford was due anything from the government, which would be left to his father, William Ford
Papers of R H Horne
This record was harvested from a previous catalogue system and will be withdrawn in 2025. Information in this record may be superseded or incomplete. Visit this record in UMA's new catalogue at: https://archives.library.unimelb.edu.au/nodes/view/69212R.H. "Orion" Horne: Syllabus of Three Lectures on the Undeveloped Characters in Shakespeare's Plays by R.H. Horne, author of "Orion", "Cosmo de Medici" and "Death of Marlowe", etc. Leaflet showing contents of each of the three lectures. On verso, a note by Horne explaining that these lectures had been given at the Manchester Athenuem, the Literary and Scientific Institute, Marylebone, and at the Mechanics Institute, Liverpool. This leaflet is folded in with handwritten expositions (probably lectures): 1. The Bible, 31 pp. 2. Gems form Auriel (Henri Frederico Auriel, 1821-1881), 5 pp. 3. Some illustrations of Shakespeare's Art, 20 pp.113896
Acquisition: [1989.0151] "Papers of R H Horne
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The calculus of thermodynamical formalism
Given an onto map T acting on a metric space Ω and an appropriate Banach space of functions X(Ω), one classically constructs for each potential A ∈ X a transfer operator LA acting on X(Ω). Under suitable hypotheses, it is well-known that LA has a maximal eigenvalue λA, has a spectral gap and defines a unique Gibbs measure μA. Moreover there is a unique normalized potential of the form B = A + f - fT + c acting as a representative of the class of all potentials defining the same Gibbs measure. The goal of the present article is to study the geometry of the set N of normalized potentials, of the normalization map A ↦ B, and of the Gibbs map A ↦ μA. We give an easy proof of the fact that N is an analytic submanifold of X and that the normalization map is analytic; we compute the derivative of the Gibbs map; and we endow N with a natural weak Riemannian metric (derived from the asymptotic variance) with respect to which we compute the gradient flow induced by the pressure with respect to a given potential, e.g. the metric entropy functional. We also apply these ideas to recover in a wide setting existence and uniqueness of equilibrium states, possibly under constraints
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