managed and accurately displayed to a user to create a visually convincing illusion of their co-existence and interaction. A critical challenge impeding this objective is the problem of incorrect occlusion that manifests itself when real objects in an AR scene par-tially or wholly block the view

) and in commercial projects values in issue-tracking systems (ITS) or Customer Relationship Management (CRM) sys-tems are often assigned by non-developers for whom the assignment task is difficult. We propose PAR (Product As-signment Recommender) to estimate the odds that a value in the ITS is incorrect. PAR learns

RECHERCHES Elastographie par ondes de cisaillement

Background. The rise and fall of prostate cancer mortality correspond closely to the rise and fall of newly diagnosed cases. To understand this phenomenon, we explored the role that screening, treatment, iatrogenic (i.e., treatment-induced) deaths, and attribution bias (incorrect labeling of death

can expect and may lead to incorrect conclusions. We then explore the impact of various memory hierarchy parameters. We show that the number of supported threads has to be set-up according to the cache size, that the L1 caches have to be associative and small blocks have to be used. Then

The third and fourth sentences of the Results sub-section of the Abstract are incorrect. The correct sentences should read: In cART-treated patients 10-fold higher HIV RNA was associated with 15 % higher suPAR, whereas there was no association in untreated patients. Patients with CD4+ cell count

revealed that covert incorrect response activations (termed “partial errors”) occur on a pro-portion of overtly correct trials. The occurrence of such “par-tial errors ” shows that incorrect response activations could be corrected online, before turning into overt errors. In the pres-ent study, we showed

à une in-férence par déduction (MFDI) qui est un exemple de raisonnement incorrect le long des lignes de l'illusion d'analo-gie fausse. Le MFDI provient des re-vendications (métaphoriques) séman-tiques informelles à une inférence par supposition officiellement par déduc-tion et nécessaire

maintains one solution, it is known to be very fragile to incorrect data-associations. FastSLAM, on the other hand, has it’s background in par-ticle filtering, in which it tracks multiple hypotheses at the same time, which enable it do be robust under incorrect data-associations. Most papers comparing

vii Bus should be lb⋅acre-1⋅in-1 xv T should be ton⋅acre-1⋅yr-1 22 It is implied that Req includes irrigation. This is incorrect. 28 “Maps------is” 33 The abbreviations “ww/p”, etc need to be defined. 34, last par. Change to “measurements of the ratio of rill to interrill soil loss”. 89 Presenting