A Study on the Development of Leisure Sports Industry of China’s Sichuan in the Age of Big Data

This paper mainly analyzes the development of leisure sports industry of Sichuan province in big data age in terms of opportunities, challenges, development trends and strategies. In this paper, based on the methods of documentary, interview, questionnaire and logic analysis, combing large data for broad influence and huge benefits of leisure sports industry, and then analyze its development trend and development strategy. The mega data age is expected to bring about favorable opportunities to leisure sports industry of Sichuan province, such as creating more value, contributing to the flexible distribution of resources and to the trend of new ways of thinking in the research on leisure sports industry. Both the application of mega data technology to and the research on the realm of leisure sports industry are faced with drastic challenges. From wide application, the processing mode, precise marketing and personnel training aspects analyzes the development trend of leisure sports industry in the era of big data. We should take corresponding counter-strategies, which include innovating leisure sports industry, implementing full application of mega data technology, increasing the supply of related professional talents, supporting the informatization of leisure sports industry and establishing a platform of information resource for leisure sports industry

Separating Invisible Sounds Toward Universal Audiovisual Scene-Aware Sound Separation

The audio-visual sound separation field assumes visible sources in videos, but this excludes invisible sounds beyond the camera's view. Current methods struggle with such sounds lacking visible cues. This paper introduces a novel "Audio-Visual Scene-Aware Separation" (AVSA-Sep) framework. It includes a semantic parser for visible and invisible sounds and a separator for scene-informed separation. AVSA-Sep successfully separates both sound types, with joint training and cross-modal alignment enhancing effectiveness.Comment: Accepted at ICCV 2023 - AV4D, 4 figures, 3 table

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance

Most of ranking models are trained only with displayed items (most are hot items), but they are utilized to retrieve items in the entire space which consists of both displayed and non-displayed items (most are long-tail items). Due to the sample selection bias, the long-tail items lack sufficient records to learn good feature representations, i.e. data sparsity and cold start problems. The resultant distribution discrepancy between displayed and non-displayed items would cause poor long-tail performance. To this end, we propose an entire space adaptation model (ESAM) to address this problem from the perspective of domain adaptation (DA). ESAM regards displayed and non-displayed items as source and target domains respectively. Specifically, we design the attribute correlation alignment that considers the correlation between high-level attributes of the item to achieve distribution alignment. Furthermore, we introduce two effective regularization strategies, i.e. \textit{center-wise clustering} and \textit{self-training} to improve DA process. Without requiring any auxiliary information and auxiliary domains, ESAM transfers the knowledge from displayed items to non-displayed items for alleviating the distribution inconsistency. Experiments on two public datasets and a large-scale industrial dataset collected from Taobao demonstrate that ESAM achieves state-of-the-art performance, especially in the long-tail space. Besides, we deploy ESAM to the Taobao search engine, leading to significant improvement on online performance. The code is available at \url{https://github.com/A-bone1/ESAM.git}Comment: Accept by SIGIR-202

Multi-Scenario Ranking with Adaptive Feature Learning

Recently, Multi-Scenario Learning (MSL) is widely used in recommendation and retrieval systems in the industry because it facilitates transfer learning from different scenarios, mitigating data sparsity and reducing maintenance cost. These efforts produce different MSL paradigms by searching more optimal network structure, such as Auxiliary Network, Expert Network, and Multi-Tower Network. It is intuitive that different scenarios could hold their specific characteristics, activating the user's intents quite differently. In other words, different kinds of auxiliary features would bear varying importance under different scenarios. With more discriminative feature representations refined in a scenario-aware manner, better ranking performance could be easily obtained without expensive search for the optimal network structure. Unfortunately, this simple idea is mainly overlooked but much desired in real-world systems.Further analysis also validates the rationality of adaptive feature learning under a multi-scenario scheme. Moreover, our A/B test results on the Alibaba search advertising platform also demonstrate that Maria is superior in production environments.Comment: 10 pages

Design and performance of the Quxue asphalt-core rockfill dam

The design and performance of the 174-m high Quxue asphalt-core rockfill dam in Sichuan Province, China, are presented. An extensive field monitoring program was implemented. During construction, the asphalt core settled more than the adjacent transition zones, but no more than 20 mm due to strong interlocking with the coarser gravel particles in the transition zones. The lateral displacements of the core were recorded during the impoundment. The measured shear displacements were less than 10 mm between the core and the plinth along the steep abutments (about 70°), and the interface remained watertight. The dam was constructed in about one year, and the reservoir impoundment up to about 100 m height was done in two months. The performance monitoring documents that the asphalt core type of dam is suitable for high embankment dams even in narrow valleys with steep abutments. The core exhibits flexible and ductile behavior without cracking, and internal core erosion is not an issue of concern.publishedVersio

Improvement of Radiotherapy-Induced Lacrimal Gland Injury by Induced Pluripotent Stem Cell-Derived Conditioned Medium via MDK and Inhibition of the p38/JNK Pathway

Radiation therapy is the most widely used and effective treatment for orbital tumors, but it causes dry eye due to lacrimal gland damage. Induced pluripotent stem cell-derived conditioned medium (iPSC-CM) has been shown to rescue different types of tissue damage. The present study investigated the mechanism of the potential radioprotective effect of IPS cell-derived conditioned medium (iPSC-CM) on gamma-irradiation-induced lacrimal gland injury (RILI) in experimental mice. In this study, we found that iPSC-CM ameliorated RILI. iPSC-CM markedly decreased radiotherapy induced inflammatory processes, predominantly through suppressing p38/JNK signaling. Further signaling pathway analyses indicated that iPSC-CM could suppress Akt (Protein Kinase B, PKB) phosphorylation. High levels of midkine (MDK) were also found in iPSC-CM and could be involved in lacrimal gland regeneration by promoting cell migration and proliferation. Thus, our study indicates that inhibiting the p38/JNK pathway or increasing the MDK level might be a therapeutic target for radiation-induced lacrimal gland injury

The TIR/BB-Loop Mimetic AS-1 Protects the Myocardium From Ischaemia/Reperfusion Injury

AimsInnate immune and inflammatory responses are involved in myocardial ischaemia/reperfusion (I/R) injury. The interleukin-1 receptor (IL-1R)-mediated, MyD88-dependent nuclear factor kappa B (NF-κB) activation pathway plays an important role in the induction of innate immunity and inflammation. However, the role of the IL-1R-MyD88 pathway in myocardial I/R injury has not been thoroughly investigated. We hypothesized that inhibition of the interaction of IL-1R with MyD88 will attenuate myocardial ischaemic injury through reducing inflammatory responses.Methods and resultsMale C57BL/6 mice were subjected to myocardial ischaemia (45 min) followed by reperfusion (4 h). In the treatment group, after mice were subjected to ischaemia (45 min), the TIR/BB-loop mimetic (AS-1), which inhibits the interaction of IL-1R with MyD88, was administered immediately before reperfusion. Hearts were harvested and cellular proteins were isolated for immunoprecipitation and immunoblotting. AS-1 administration significantly decreased infarct size by 32.92 compared with the untreated I/R group. Ejection fraction and fractional shortening in AS-1-treated mice were also significantly increased by 18.0 and 25.6, respectively, compared with the untreated I/R group. AS-1 administration significantly decreased the I/R-increased interaction between IL-1R and MyD88, attenuated the I/R-increased NF-κB binding activity, and reduced levels of inflammatory cytokines and adhesion molecules in the myocardium compared with the untreated I/R group. In addition, AS-1 administration significantly decreased myocardial myeloperoxidase activity by 23.6 and neutrophil infiltration in the myocardium compared with the untreated I/R group.ConclusionThe results demonstrated an important role for the IL-1R-mediated MyD88-dependent signalling pathway in myocardial I/R injury. The data suggest that modulation of the IL-1R/MyD88 interaction could be a strategy for reducing myocardial ischaemic injury

Mice engrafted with human hematopoietic stem cells support a human myeloid cell inflammatory response in vivo

Mice engrafted with human CD34+ hematopoietic stem and progenitor cells (CD34+ -HSPCs) have been used to study human infection, diabetes, sepsis, and burn, suggesting that they could be highly amenable to characterizing the human inflammatory response to injury. To this end, human leukocytes infiltrating subcutaneous implants of polyvinyl alcohol (PVA) sponges were analyzed in immunodeficient NSG mice reconstituted with CD34+ -HSPCs. It was reported that human CD45+ (hCD45+ ) leukocytes were present in PVA sponges 3 and 7 days postimplantation and could be localized within the sponges by immunohistochemistry. The different CD45+ subtypes were characterized by flow cytometry and the profile of human cytokines they secreted into PVA wound fluid was assessed using a human-specific multiplex bead analyses of human IL-12p70, TNFα, IL-10, IL-6, IL1β, and IL-8. This enabled tracking the functional contributions of HLA-DR+ , CD33+ , CD19+ , CD62L+ , CD11b+ , or CX3CR1+ hCD45+ infiltrating inflammatory leukocytes. PCR of cDNA prepared from these cells enabled the assessment and differentiation of human, mouse, and uniquely human genes. These findings support the hypothesis that mice engrafted with CD34+ -HSPCs can be deployed as precision avatars to study the human inflammatory response to injury