Core Challenges in Embodied Vision-Language Planning

Recent advances in the areas of multimodal machine learning and artificial intelligence (AI) have led to the development of challenging tasks at the intersection of Computer Vision, Natural Language Processing, and Embodied AI. Whereas many approaches and previous survey pursuits have characterised one or two of these dimensions, there has not been a holistic analysis at the center of all three. Moreover, even when combinations of these topics are considered, more focus is placed on describing, e.g., current architectural methods, as opposed to also illustrating high-level challenges and opportunities for the field. In this survey paper, we discuss Embodied Vision-Language Planning (EVLP) tasks, a family of prominent embodied navigation and manipulation problems that jointly use computer vision and natural language. We propose a taxonomy to unify these tasks and provide an in-depth analysis and comparison of the new and current algorithmic approaches, metrics, simulated environments, as well as the datasets used for EVLP tasks. Finally, we present the core challenges that we believe new EVLP works should seek to address, and we advocate for task construction that enables model generalizability and furthers real-world deployment.Comment: 35 page

Metabolism of the α,β-Unsaturated Ketones, Chalcone and trans-4-Phenyl-3-buten-2-one, by Rat Liver Microsomes and Estrogenic Activity of the Metabolites

PBO was oxidized by cytochrome P450 1A1, 1A2, 2C6 and 2E1. Chalcone and PBO were negative in an estrogen reporter assay using estrogen-responsive human breast cancer cell line MCF-7. However, 4-hydroxychalcone, 2-hydroxychalcone, 4'-hydroxychalcone and 4-OH-PBO exhibited estrogenic activity. DMD #2634

Identification of prostatic secreted proteins in mice by mass spectrometric analysis and evaluation of lobe-specific and androgen-dependent mRNA expression

Rats and guinea pigs have frequently been used to study the development of the prostate and the mechanism of androgen action, but the mouse prostate has also become an attractive model for prostate research, because an enormous range of genetically altered mice is now available. However, the secretion of proteins in the mouse prostate has not yet been well investigated. In the present study, major secreted proteins from the ventral (VP), dorso-lateral (DLP) and anterior prostate (AP) of mice were identified by means of two-dimensional gel electrophoresis followed by MALDI-TOF mass spectrometric analysis. A quantitative RT-PCR method was further employed to examine the androgen-dependent transcriptional regulation of the identified proteins. Proteome analysis revealed that the VP secretes spermine binding protein, serine protease inhibitor Kazal type 3 and a 91 kDa hypothetical scavenger receptor (AK035662). The DLP and the AP secrete a protein similar to immunoglobulin binding protein (IgBPLP) and one of the experimental autoimmune prostatitis antigen proteins (EAPA2). Peroxiredoxin-6, glucose-regulated protein 78, zinc-a2-glycoprotein and phospholipase Ca are also secreted. Castration of animals led to a decrease in the mRNAs of these secreted proteins, although the extents of change varied greatly among different lobes. We present here an overview of mouse prostate secretion, which should contribute to an understanding of the biological functions of the prostate gland, as well as the androgen-dependency of prostate secretion