Enhancing the collectivist critique: accounts of the human enhancement debate

Individualist ethical analyses in the enhancement debate have often prioritised or only considered the interests and concerns of parents and the future child. The collectivist critique of the human enhancement debate argues that rather than pure individualism, a focus on collectivist, or group-level ethical considerations is needed for balanced ethical analysis of specific enhancement interventions. Here, I defend this argument for the insufficiency of pure individualism. However, existing collectivist analyses tend to take a negative approach that hinders them from adequately contributing to balanced ethical analysis, and often leads to a prohibitive stance. I argue this is due to two common problems with collectivist analyses: inappropriate acceptance of individualist assumptions, and failure to appropriately weigh individual vs collective ethical considerations. To further develop the collectivist critique in the enhancement debate, I suggest we may look to collectivism in public health ethics, which avoids these problems.

Social Reactivation of Fear Engrams Enhances Recall and Reinstatement

The power of one's social environment to modulate cognition is well documented, but the processes by which social experiences impact the cellular substrates of memory remain unknown. We show that social experience, but not physical stress, causes reactivation of fear engrams in the dentate gyrus of the hippocampus, and optogenetic stimulation of social ensembles containing these reactivated cells is sufficient to drive fearful behavior. This endogenous reactivation in the dentate gyrus during social stress is followed by a context-specific enhancement of fear recall and reinstatement. Our findings suggest that social interactions can reactivate pre-existing engrams and thereby strengthen discrete memories.

ISOGlyP: de novo prediction of isoform-specific mucin-type O-glycosylation

Mucin-type O-glycosylation is one of the most common posttranslational modifications of proteins. The abnormal expression of various polypeptide GalNAc-transferases (GalNAc-Ts) which initiate and define sites of O-glycosylation are linked to many cancers and other diseases. Current O-glycosyation prediction programs utilize O-glycoproteomics data obtained without regard to the transferase isoform (s) responsible for the glycosylation. With 20 different GalNAc-Ts in humans, having an ability to predict and interpret O-glycosylation sites in terms of specific GalNAc-T isoforms is invaluable. To fill this gap, ISOGlyP (Isoform-Specific O-Glycosylation Prediction) has been developed. Using position-specific enhancement values generated based on GalNAc-T isoform-specific amino acid preferences, ISOGlyP predicts the propensity that a site would be glycosylated by a specific transferase. ISOGlyP gave an overall prediction accuracy of 70% against in vivo data, which is comparable to that of the NetOGlyc4.0 predictor. Additionally, ISOGlyP can identify the known effects of long- and short-range prior glycosylation and can generate potential peptide sequences selectively glycosylated by specific isoforms. ISOGlyP is freely available for use at ISOGlyP.utep.edu. The code is also available on GitHub (https://github.com/jonmohl/ISOGlyP).

Sex-determining genes distinctly regulate courtship capability and target preference via sexually dimorphic neurons

For successful mating, a male animal must execute effective courtship behaviors toward a receptive target sex, which is female. Whether the courtship execution capability and upregulation of courtship toward females are specified through separable sex-determining genetic pathways remains uncharacterized. Here, we found that one of the two Drosophila sex-determining genes, doublesex (dsx), specifies a male-specific neuronal component that serves as an execution mechanism for courtship behavior, whereas fruitless (fru) is required for enhancement of courtship behavior toward females. The dsx-dependent courtship execution mechanism includes a specific subclass within a neuronal cluster that co-express dsx and fru. This cluster contains at least another subclass that is specified cooperatively by both dsx and fru. Although these neuronal populations can also promote aggressive behavior toward male flies, this capacity requires fru-dependent mechanisms. Our results uncover how sex-determining genes specify execution capability and female-specific enhancement of courtship behavior through separable yet cooperative neurogenetic mechanisms.

Remote Sensing Single-Image Resolution Improvement Using A Deep Gradient-Aware Network with Image-Specific Enhancement

Super-resolution (SR) is able to improve the spatial resolution of remote sensing images, which is critical for many practical applications such as fine urban monitoring. In this paper, a new single-image SR method, deep gradient-aware network with image-specific enhancement (DGANet-ISE) was proposed to improve the spatial resolution of remote sensing images. First, DGANet was proposed to model the complex relationship between low- and high-resolution images. A new gradient-aware loss was designed in the training phase to preserve more gradient details in super-resolved remote sensing images. Then, the ISE approach was proposed in the testing phase to further improve the SR performance. By using the specific features of each test image, ISE can further boost the generalization capability and adaptability of our method on inexperienced datasets. Finally, three datasets were used to verify the effectiveness of our method. The results indicate that DGANet-ISE outperforms the other 14 methods in the remote sensing image SR, and the cross-database test results demonstrate that our method exhibits satisfactory generalization performance in adapting to new data.