The genome of equine infectious anemia virus (EIAV) contains several small open reading frames (ORFs), the importance of which in the development of the virus is not clear. We investigated the possibility that the largest of these ORFs (ORF S3) is expressed during the course of the viral infection. The ORF S3 information was expressed in Escherichia coli, and the antigen was used to raise monos...

(S3) Measurement of two-photon cross section. (S3) Cytotoxicity assay. (S3) Cell culture. (S4) Two-photon and one-photon fluorescence bioimaging. (S4) Calculation of mean fluorescence intensity (S4) Table S1. Absorption and emission maxima of 1a~1c in DMSO. (S4) Table S2. Absorption and emission maxima of 1c in various solvents. (S10) Fig. S10. 2P microscopy of 2a-labeled HeLa cells for biothio...

OBJECTIVE The conventional method of dividing hepatic segment 2 (S2) and 3 (S3) is subjective and CT interpretation is unclear. The purpose of our study was to test the validity of our hypothesis that the actual plane dividing S2 and S3 is a vertical plane of equal distance from the S2 and S3 portal veins in clinical situations. MATERIALS AND METHODS We prospectively performed thin-section io...

Aswith all amplifier circuits, certain operating conditions can cause instability of a potentiostatic circuit which maymanifest as overshoot, poorly-damped ringing, or in extreme cases full-scale oscillations at the CE output. Instability occurs when the phase shift in the circuit’s feedback loop (the path between the output and the inverting input of U1 in Fig. 2 in the main text) is sufficien...

Supervised learning requires a training set on which the classifier’s parameters are learnt. An independent test set is used to evaluate its performance. For each test sample the classifier returns a vector that estimates the probability that the sample belongs to any of the classes under consideration, in our case edges and non-edges. We employ the random forest classifier [1], a state-of-the-...