121,828 research outputs found
P. Papini Stati, Achilleis, éd. A. Marastoni
J. A. P. Papini Stati, Achilleis, éd. A. Marastoni. In: Bulletin de l'Association Guillaume Budé, n°2, juin 1976. p. 201
P. Papini Stati Achilleis, rec. Aldo Marastoni
Desmed R. P. Papini Stati Achilleis, rec. Aldo Marastoni. In: Scriptorium, Tome 31 n°1, 1977. pp. 170-171
P. Papini Stati Siluae, rec. Aldus Marastoni, editio stereotypa correctior.
J. A. P. Papini Stati Siluae, rec. Aldus Marastoni, editio stereotypa correctior.. In: Bulletin de l'Association Guillaume Budé, n°3, octobre 1972. p. 371
Quantization of Grassmann duality
Let V be a complex vector space of dimension n, G (resp. G*) the Grassmann manifold of p-dimensional (resp. (n-p)-dimensional) subspaces of V, and of Omega the relation of transversality in G x G*. In a previous note we announced in equivalences between derived categories of sheaves and of D-modules on G and G* defined by the integral transforms associated to Omega. We show here that these transforms exchange the D-modules associated to the holomorphic lines bundles on G and G*. This is equivalent to ''quantizing'' the underlying contact transformation between certain open dense subsets of the contangent bundles. In the case p = 1, we recover already known results for the projective duality
Data augmentation and transfer learning to classify malware images in a deep learning context
In the past few years, malware classification techniques have shifted from shallow traditional machine learning models to deeper neural network architectures. The main benefit of some of these is the ability to work with raw data, guaranteed by their automatic feature extraction capabilities. This results in less technical expertise needed while building the models, thus less initial pre-processing resources. Nevertheless, such advantage comes with its drawbacks, since deep learning models require huge quantities of data in order to generate a model that generalizes well. The amount of data required to train a deep network without overfitting is often unobtainable for malware analysts. We take inspiration from image-based data augmentation techniques and apply a sequence of semantics-preserving syntactic code transformations (obfuscations) to a small dataset of programs to generate a larger dataset. We then design two learning models, a convolutional neural network and a bi-directional long short-term memory, and we train them on images extracted from compiled binaries of the newly generated dataset. Through transfer learning we then take the features learned from the obfuscated binaries and train the models against two state of the art malware datasets, each containing around 10 000 samples. Our models easily achieve up to 98.5% accuracy on the test set, which is on par or better than the present state of the art approaches, thus validating the approach
P. Papini Stati Siluae. Recensuit Aldus Marastoni (Bibliotheca Scriptorum Graecorum et Romanorum Teubneriana), 1961
Le Bonniec Henri. P. Papini Stati Siluae. Recensuit Aldus Marastoni (Bibliotheca Scriptorum Graecorum et Romanorum Teubneriana), 1961. In: Revue des Études Anciennes. Tome 64, 1962, n°1-2. p. 209
Synthesis and Activity of N‐Benzyl Pseudopeptides HIV Protease Inhibitors.
A series of N-benzyl pseudopeptides was designed, synthesized and tested as HIV-1 protease inhibitors. The ability of the new compounds containing N-benzyl hydroxyalkylamino acid core structure to inhibit HIV replication in cell culture is comparable to their capacity to inhibit the isolated enzyme, a result compatible with good pharmacokinetic properties of these derivatives. The pseudotripeptide Fmoc-Leu-N(Bzl)Hse-Met-NH-tBu was the best inhibitor of the series (IC50=170 nM) showing promising inhibition of viral replication (ED50=52 nM). All new compounds exhibit high enzymatic resistance and stability against cell cultures and plasma enzymes
Real forms of the Radon-Penrose transform
The complex Radon correspondence relates an n-dimensional projective space
with the Grassmarm manifold of its p-dimensional planes. This is the geometric
background of the Radon-Penrose transform, which intertwines cohomology classes of
homogeneous line bundles with holomorphic solutions to the generalized massless field
equations. A good framework to deal with such problems is provided by the recently
developed theory of integral transforms for sheaves and D-modules. In particular,
an adjunction formula describes the range of transforms acting on general function
spaces, associated with constructible sheaves.
The linear group SL(n + 1,C) naturally acts on the Radon correspondence. A
distinguished family of function spaces is then the one associated with locally constant
sheaves along the closed orbits of the real forms of SL(n + 1, C). In this paper, we
systematically apply the above-mentioned adjunction formula to such function spaces.
We thus obtain in a unified manner several results concerning the complex, conformal,
or real Radon transforms
IMMUNOPATHOLOGY OF INTRATHECAL INFLAMMATION IN MULTIPLE SCLEROSIS: CLINICAL, RADIOLOGICAL AND IMMUNOLOGICAL CORRELATES
Intrathecal inflammation is a key factor that drives disability accumulation in Multiple Sclerosis (MS), since early disease phases. Clinical, radiological, and cerebrospinal fluid markers that correlate with chronic intrathecal inflammation are advocated.
i) To better clarify its clinical correlates, a post-mortem autopsy cohort study was performed on 269 progressive MS cases. The presence of early active lesions (EALs) and the extent of perivenular inflammation were examined. A subset of patients (n=87) already underwent characterization for the presence/absence of meningeal infiltrates and a detailed count of the CD20+ B cells and CD3+ T cells in perivenular infiltrates (n=22). EALs were detected in 22% of the examined cases, while high levels of perivascular inflammation were detected in 52% of cases. High levels of both active lesions and focal perivenular inflammation, enriched in B cells and associated with meningeal inflammation, within the white matter at post-mortem were associated with rapid disease evolution from onset and to the terminal stages.
ii) Several observations suggested that cortical lesions are a frequent and early phenomenon in MS and one of the major drivers of disability accumulation, being associated with chronic intrathecal inflammation. We evaluated 199 relapsing- remitting MS (RRMS) patients who underwent brain and spinal cord MRI examinations at the time of diagnosis, including assessment of cortical lesions (CLs) by Double Inversion Recovery sequences. All patients had regular clinical median follow-up for 18 years (range 15-22). Confirmed disability worsening (CDW) was assessed, based on EDSS increase by ≥1.5, 1 or 0.5 points according to baseline EDSS (0, <5.5 or ≥5.5, respectively). Progression independent of relapse activity (PIRA) was referred as a 6-month CDW in which the Expanded Disability Status Scale (EDSS) worsening was sustained in all following assessments. The time to PIRA events, conversion to SPMS and to the EDSS score milestones of 4.0 and 6.0 was recorded. Eighty-three patients (41.7%) had PIRA after a mean of 7.6±3.6 yrs. Patients with PIRA had increased CLn and volume compared to those without PIRA events. After random survival forest, higher CLn, CLv, and EDSS were factors best associated with the risk of experiencing PIRA. Multivariate regression (with MRI, demographics, clinical variables including therapies) confirmed a higher number of CLs, a larger CLv and higher EDSS as predictive of PIRA. Higher CLv, CLn, baseline EDSS and presence of SC lesions were best predictors of EDSS ≥4 and ≥6 with the above- mentioned models. ROC analysis estimated at least 3 CLs as the optimal cut-off to identify patients more likely to develop SPMS (≥3, HR 12.2 [CI 3.55- 41.8],p< 0.001). Finally, 2-year accumulation of new CLs predicted SPMS (HR 1.3 [CI 1.1-1.5], p<0.001), and achievement of EDSS≥4 and ≥6 (HR 1.28[CI 1.09- 1.51],p=0.002, and HR 1.39 [CI 1.12-1.73],p=0.003, respectively). Concluding, early accumulation of focal cortical damage is an independent predictor of sustained disabillity progression and long-term disability.
iii) Candidate cerebrospinal fluid (CSF) markers of intrathecal inflammation are advocated. 67 CSF markers were evaluated at the time of diagnosis with Multiplex assay in patients with both primary progressive MS and RRMS.
CXCL12 and Osteopontin (OPN) revealed significantly increased in those patients experiencing a progressive course of the disease. OPN resulted best associated with accumulating cortical atrophy and confirmed disability worsening after two years of follow-up in a group of 107 patients with RRMS.
Finally, the predictive value of CSF markers on developing PIRA events was evaluated in a retrospective study. Many markers, particularly related to TNF superfamily (sTNFR1, LIGHT) as well as OPN were increased in those patients developing PIRA events (23 out of 80), and were confirmed in those with PIRA events and no radiological activity during the follow-up. This susuggest that a specific intrathecal inflammatory profile characterize patients at higher risk of PIRA since early disease phases. Further studies are needed to evaluate the efficacy of anti-inflammatory treatments, particularly those acting intrathecally, in preventing PIRA events and subsequent disability
HIV-1 protease inhibitors containing an N-hydroxyamino acid core structure
Two series of peptidomimetics containing an N-hydroxyamino acid core structure were prepared by mixed solution solid-phase synthesis and tested for inhibitory activity against the human immunodeficiency virus (HIV-1) protease (Pr) and the virus in cell culture. In general, N-hydroxy Gly containing pseudopeptides displayed modest HIV Pr inhibition (IC50≥930 nM). In the N-hydroxy Phe derivatives, Fmoc-Phe-ψ[CO–N(OH)]-Phe-Pro-NHtBu was the best inhibitor of the series (IC50=144 nM) showing satisfactory inhibition of HIV replication in cell culture (ED50=98 nM) and remarkable stability against cell culture and plasma enzymes
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