Field and Experimental Assessment of PRRSV Evolution

The genetic and antigenic stability of porcine reproductive and respiratory syndrome (PRRS) virus during infection in pigs was assessed using field and experimental data. Among field isolates, we found that PRRS virus varied both genetically and antigenically. Even within the same farm, various phenotypic strains of PRRS virus were present simultaneously. Experimentally, we demonstrated that PRRS virus “quasi-species” appeared over time as the virus replicated in animals. Although the degree of genotypic changes in the gene coding for the major envelope protein (i.e., open reading frame 5) was less than expected based on field observations; some mutants appear to have been changed significantly. Overall, our observations suggest that persistence of PRRS virus in pigs may be attributed to viral mutation, although the actual role of viral mutation in persistent PRRS virus infection remains to be determined. The presence of various phenotypic strains within the same farm or herd may account for the apparent ineffectiveness of PRRS control by monovalent vaccine

Ultraviolet photodepletion spectroscopy of dibenzo-18-crown-6-ether complexes with alkali metal cations

Ultraviolet photodepletion spectra of dibenzo-18-crown-6-ether complexes with alkali metal cations (M+-DB18C6, M = Cs, Rb, K, Na, and Li) were obtained in the gas phase using electrospray ionization quadrupole ion-trap reflectron time-of-flight mass spectrometry. The spectra exhibited a few distinct absorption bands in the wavenumber region of 35450−37800 cm^(−1). The lowest-energy band was tentatively assigned to be the origin of the S_0-S_1 transition, and the second band to a vibronic transition arising from the “benzene breathing” mode in conjunction with symmetric or asymmetric stretching vibration of the bonds between the metal cation and the oxygen atoms in DB18C6. The red shifts of the origin bands were observed in the spectra as the size of the metal cation in M^+-DB18C6 increased from Li^+ to Cs^+. We suggested that these red shifts arose mainly from the decrease in the binding energies of larger-sized metal cations to DB18C6 at the electronic ground state. These size effects of the metal cations on the geometric and electronic structures, and the binding properties of the complexes at the S_0 and S_1 states were further elucidated by theoretical calculations using density functional and time-dependent density functional theories

ESD: Expected Squared Difference as a Tuning-Free Trainable Calibration Measure

Studies have shown that modern neural networks tend to be poorly calibrated due to over-confident predictions. Traditionally, post-processing methods have been used to calibrate the model after training. In recent years, various trainable calibration measures have been proposed to incorporate them directly into the training process. However, these methods all incorporate internal hyperparameters, and the performance of these calibration objectives relies on tuning these hyperparameters, incurring more computational costs as the size of neural networks and datasets become larger. As such, we present Expected Squared Difference (ESD), a tuning-free (i.e., hyperparameter-free) trainable calibration objective loss, where we view the calibration error from the perspective of the squared difference between the two expectations. With extensive experiments on several architectures (CNNs, Transformers) and datasets, we demonstrate that (1) incorporating ESD into the training improves model calibration in various batch size settings without the need for internal hyperparameter tuning, (2) ESD yields the best-calibrated results compared with previous approaches, and (3) ESD drastically improves the computational costs required for calibration during training due to the absence of internal hyperparameter. The code is publicly accessible at https://github.com/hee-suk-yoon/ESD.Comment: ICLR 202