Role of Satellite Cells in Long Term Fiber Type Shifts

Muscle fiber type shifts in respect to satellite cells, muscle stem cells, are not well understood currently. The Peterson Lab has generated a mouse model (PAX7-DTA) that ablates satellite cells to determine if these muscle stem cells contribute to mouse muscle fiber type changes over an eight week period. In the study, control and satellite-cell-ablated mouse groups were split into control and overload groups (via synergist ablation surgery) and placed under similar environmental conditions. Eight weeks post-experiment, muscles were dissected to obtain the plantaris muscles of animals from all groups. Muscle cross-sections obtained were immunohistochemically stained, imaged, quantified by fiber type, and statistically analyzed. Results of the study found that in a two-way ANOVA analysis, there was no significant difference (P \u3e 0.05) between groups. This result suggests that satellite cells play little apparent role in muscle fiber type shifts in mouse muscle in response to overload

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

Group Activity Recognition detects the activity collectively performed by a group of actors, which requires compositional reasoning of actors and objects. We approach the task by modeling the video as tokens that represent the multi-scale semantic concepts in the video. We propose COMPOSER, a Multiscale Transformer based architecture that performs attention-based reasoning over tokens at each scale and learns group activity compositionally. In addition, prior works suffer from scene biases with privacy and ethical concerns. We only use the keypoint modality which reduces scene biases and prevents acquiring detailed visual data that may contain private or biased information of users. We improve the multiscale representations in COMPOSER by clustering the intermediate scale representations, while maintaining consistent cluster assignments between scales. Finally, we use techniques such as auxiliary prediction and data augmentations tailored to the keypoint signals to aid model training. We demonstrate the model's strength and interpretability on two widely-used datasets (Volleyball and Collective Activity). COMPOSER achieves up to +5.4% improvement with just the keypoint modality. Code is available at https://github.com/hongluzhou/composerComment: ECCV 202

Human Streptococcus suis Outbreak, Sichuan, China

Streptococcus suis outbreak was associated with exposure to sick or dead pigs

Streptococcus suis Sequence Type 7 Outbreak, Sichuan, China

An outbreak of Streptococcus suis serotype 2 emerged in the summer of 2005 in Sichuan Province, and sporadic infections occurred in 4 additional provinces of China. In total, 99 S. suis strains were isolated and analyzed in this study: 88 isolates from human patients and 11 from diseased pigs. We defined 98 of 99 isolates as pulse type I by using pulsed-field gel electrophoresis analysis of SmaI-digested chromosomal DNA. Furthermore, multilocus sequence typing classified 97 of 98 members of the pulse type I in the same sequence type (ST), ST-7. Isolates of ST-7 were more toxic to peripheral blood mononuclear cells than ST-1 strains. S. suis ST-7, the causative agent, was a single-locus variant of ST-1 with increased virulence. These findings strongly suggest that ST-7 is an emerging, highly virulent S. suis clone that caused the largest S. suis outbreak ever described

Integration study of high quality teaching resources in universities

Purpose: The development level and quality of education depend on the merits and efficiency in the use of teaching resources, especially in the case of obvious contradiction between the demand and supply of teaching resources. So to integrate teaching resources, improve the efficiency in the use of high quality teaching resources, and take the road of content development to enhance the competitiveness of education has become very important and urgent. Design/methodology/approach: On the basis of analysis on the teaching resources of universities and the problems they faced, this paper introduced the basic concepts of cloud storage, and built the integration architecture of high quality teaching resources in universities based on the cloud storage. Findings and Originality/value: The HDFS-based cloud storage proposed in this paper is a dynamically adjustable and Internet-based storage solution, and the users can access storage targets using the network through a common and easy-to-use protocol and application programming interfaces. This new technology is useful for end users benefits. With the continuous development and improvement of cloud storage, it will necessarily result in more and more applications in the institutions of higher learning and education network. Originality/value: This paper introduced the cloud storage into the integration of high quality teaching resources in universities first and as a new form of service, it can be a good solution

Nanocarbon-Edge-Anchored High-Density Pt Atoms for 3-nitrostyrene Hydrogenation: Strong Metal-Carbon Interaction

Summary: Strong metal-support interaction (SMSI) has been widely used to improve catalytic performance and to identify reaction mechanisms. We report that single Pt atoms anchored onto hollow nanocarbon (h-NC) edges possess strong metal-carbon interaction, which significantly modifies the catalytic behavior of the anchored Pt atoms for selective hydrogenation reactions. The strong Pt-C bonding not only stabilizes single Pt atoms but also modifies their electronic structure, tunes their adsorption properties, and enhances activation of reactants. The fabricated Pt1/h-NC single-atom catalysts (SACs) demonstrated excellent activity for hydrogenation of 3-nitrostyrene to 3-vinylaniline with a turnover number >31,000/h, 20 times higher than that of the best catalyst for such selective hydrogenation reactions reported in the literature. The strategy to strongly anchor Pt atoms by edge carbon atoms of h-NCs is general and can be extended to construct strongly anchored metal atoms, via SMSI, onto surfaces of various types of support materials to develop robust SACs. : Chemical Reaction Engineering; Catalysis; Nanostructure Subject Areas: Chemical Reaction Engineering, Catalysis, Nanostructur