Search Results (3)

Background/Objectives: Musk is a widely used traditional Chinese medicine derived from musk deer that has the pharmacological effects of “activating blood dredging collateral” and “consciousness-restoring resuscitation”. Its volatile compounds (VCs) play a key role in these effects, especially in the treatment of stroke. However, there have been no comprehensive studies on the differences in the VCs of these different musks. This study investigated the differences in the VCs of different musks and the potential targets and mechanisms of action for stroke. Methods: Different musks were studied via GC–MS, and the potential targets and mechanisms of VCs associated with stroke were investigated using network pharmacology. Results: A total of 99 VCs were detected in 79 musk samples. The most important VCs of different colours and forms were muscone, phenol, acetic acid, and isovaleric acid. Further study revealed that the change in organic acids and ketones was the cause of the significant difference between white musk and other types of musk. In addition, network pharmacological analyses identified 180 potential targets of the major volatile compounds of musk associated with stroke, and five key targets (SRC, EGFR, ESR1, PTGS2, and DRD2). Enrichment analysis showed that these key targets play an important role in neural related pathways. The molecular docking results confirmed that the key targets can effectively bind with the main VCs (muscone and phenol). Conclusions: These findings provide valuable insights into the distinct volatile compositions of various types of musk and underscore the significant potential of volatile compounds (VCs) in stroke treatment. Full article

Behavioral analysis of animals in the wild plays an important role for ecological research and conservation and has been mostly performed by researchers. We introduce an action detection approach that automates this process by detecting animals and performing action recognition on the detected animals in camera trap videos. Our action detection approach is based on SWIFT (segmentation with filtering of tracklets), which we have already shown to successfully detect and track animals in wildlife videos, and MAROON (mask-guided action recognition), an action recognition network that we are introducing here. The basic ideas of MAROON are the exploitation of the instance masks detected by SWIFT and a triple-stream network. The instance masks enable more accurate action recognition, especially if multiple animals appear in a video at the same time. The triple-stream approach extracts features for the motion and appearance of the animal. We evaluate the quality of our action recognition on two self-generated datasets, from an animal enclosure and from the wild. These datasets contain videos of red deer, fallow deer and roe deer, recorded both during the day and night. MAROON improves the action recognition accuracy compared to other state-of-the-art approaches by an average of 10 percentage points on all analyzed datasets and achieves an accuracy of $69.16\%$ on the Rolandseck Daylight dataset, in which 11 different action classes occur. Our action detection system makes it possible todrasticallyreduce the manual work of ecologists and at the same time gain new insights through standardized results. Full article

Isotopic analysis of carbon and nitrogen in faeces is a reliable methodology for studying ecology in wildlife. Here, we tested this technique to detect variations in carbon and nitrogen isotopic ratios (δ¹³C and δ¹⁵N) in two different intrasexual competition scenarios of male Iberian red deer (Cervus elaphus hispanicus) using faeces of individuals collected during hunting actions in South-eastern Spain. The carbon isotopic ratio (δ¹³C) was not found to be significant, likely due to similar diet composition in all individuals. However, the nitrogen isotopic ratio (δ¹⁵N) was found to be lower in populations where sexual competition between males during the rut was higher compared to low-competition populations. Therefore, this study suggests a different use of proteins by an individual male red deer depending on the sexually competitive context in which he lives. Although further research is needed, these results show the potential of isotopic analysis as a tool for studying individual and populational variations in the level of intrasexual competition, with implications in evolutionary ecology and population management. Full article