The Role of Skeletal Muscle Intrinsic Clock on the Development and Progression of Cancer Cachexia

Cancer cachexia is a chronic wasting disorder characterized by severe loss of skeletal muscle that affects approximately 80% of cancer patients. Altered rest-activity is a hallmark of circadian disruption and is often seen in cachectic patients. It is unknown how skeletal muscle clock gene expression is altered with the progression of cachexia. We investigated skeletal muscle clock gene expression during cachexia. Tissue from ApcMin/+ mice (MIN) were harvested in the morning and evening and were analyzed for clock gene expression. Per 2 and Per 3 increased expression in the evening. Rev-ERBα showed decreased expression in BL – 6 mice in the evening. RORα showed increased expression in BL – 6 mice in the evening. BL – 6 evening was significantly higher than compared to MIN evening. In conclusion, circadian clock expression is altered in a cachectic environment. Understanding the role of the muscle-specific circadian clock could lead to therapeutic interventions to attenuate cachexia

2PM

The purpose of this design is to explore the relationship between gender stereotypes, gender expression, and gender identity within clothing. This garment, 2pm, is the first female garment of the collection, ANDROGYNE. The name 2pm represents a metaphor between gender and the cyclical nature of time. The “feminine†embodies the PM and the “masculine†embodies the AM. Both of these fluidly run into one another as time passes; each share the same positions on a clock. This metaphor attempts to step away from the idea of a gender binary. This is a piece that heavily borrows from male figure stereotypes and the shape of body builders. The garment plays on the idea of the hyper-muscular male and attempts to borrow this silhouette and force it upon a woman. The use of neoprene, a synthetic rubber material often found in wetsuits adds to the bulk and overall athletic visual

SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

The recent work of Super Characters method using two-dimensional word embedding achieved state-of-the-art results in text classification tasks, showcasing the promise of this new approach. This paper borrows the idea of Super Characters method and two-dimensional embedding, and proposes a method of generating conversational response for open domain dialogues. The experimental results on a public dataset shows that the proposed SuperChat method generates high quality responses. An interactive demo is ready to show at the workshop.Comment: 5 pages, 2 figures, 1 table. Accepted by CVPR2019 Language and Vision Worksho