31 research outputs found

    Analysis of the Impact of Unemployment and Reemployment on China’s Economic Growth

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    Unemployment and employment issues have consistently held significance in the context of a country’s economic development. In the aftermath of the pandemic, it becomes imperative for China to effectively address future employment pressures while concurrently enhancing people’s quality of life. This article aims to analyze the underlying causes of unemployment in the post-epidemic era, while also delving into the challenges associated with re-employment and its subsequent impact on economic growth. The findings of this study reveal that re-employment plays a crucial role in driving economic growth. Although China’s existing reemployment policies have yielded certain positive outcomes, there remain several policy-related concerns that necessitate macro-level adjustments and concerted efforts from enterprises

    The Attention Economy in the New Media Era: Challenges and Recommendations

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    In the era of big data and algorithm-driven platforms, information has become a valuable commodity, and success in Internet communication and publicity hinges on capturing attention effectively. The attention economy, a central concept in the realm of new media, emphasizes the competition among platforms to attract and engage audiences. This article presents a situational analysis of the development of the new media market and the societal implications of the attention economy. Drawing from this analysis, the paper provides recommendations for both enterprises and individuals to navigate the attention economy successfully. While the attention economy offers numerous benefits to society, it also raises certain challenges that necessitate collective efforts for resolution

    Multi-Task Recommendations with Reinforcement Learning

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    In recent years, Multi-task Learning (MTL) has yielded immense success in Recommender System (RS) applications. However, current MTL-based recommendation models tend to disregard the session-wise patterns of user-item interactions because they are predominantly constructed based on item-wise datasets. Moreover, balancing multiple objectives has always been a challenge in this field, which is typically avoided via linear estimations in existing works. To address these issues, in this paper, we propose a Reinforcement Learning (RL) enhanced MTL framework, namely RMTL, to combine the losses of different recommendation tasks using dynamic weights. To be specific, the RMTL structure can address the two aforementioned issues by (i) constructing an MTL environment from session-wise interactions and (ii) training multi-task actor-critic network structure, which is compatible with most existing MTL-based recommendation models, and (iii) optimizing and fine-tuning the MTL loss function using the weights generated by critic networks. Experiments on two real-world public datasets demonstrate the effectiveness of RMTL with a higher AUC against state-of-the-art MTL-based recommendation models. Additionally, we evaluate and validate RMTL's compatibility and transferability across various MTL models.Comment: TheWebConf202

    Effects of Electrical Stimulation on Articular Cartilage Regeneration with a Focus on Piezoelectric Biomaterials for Articular Cartilage Tissue Repair and Engineering

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    There is increasing evidence that chondrocytes within articular cartilage are affected by endogenous force-related electrical potentials. Furthermore, electrical stimulation (ES) promotes the proliferation of chondrocytes and the synthesis of extracellular matrix (ECM) molecules, which accelerate the healing of cartilage defects. These findings suggest the potential application of ES in cartilage repair. In this review, we summarize the pathogenesis of articular cartilage injuries and the current clinical strategies for the treatment of articular cartilage injuries. We then focus on the application of ES in the repair of articular cartilage in vivo. The ES-induced chondrogenic differentiation of mesenchymal stem cells (MSCs) and its potential regulatory mechanism are discussed in detail. In addition, we discuss the potential of applying piezoelectric materials in the process of constructing engineering articular cartilage, highlighting the important advances in the unique field of tissue engineering

    Effects of Electrical Stimulation on Articular Cartilage Regeneration with a Focus on Piezoelectric Biomaterials for Articular Cartilage Tissue Repair and Engineering

    No full text
    There is increasing evidence that chondrocytes within articular cartilage are affected by endogenous force-related electrical potentials. Furthermore, electrical stimulation (ES) promotes the proliferation of chondrocytes and the synthesis of extracellular matrix (ECM) molecules, which accelerate the healing of cartilage defects. These findings suggest the potential application of ES in cartilage repair. In this review, we summarize the pathogenesis of articular cartilage injuries and the current clinical strategies for the treatment of articular cartilage injuries. We then focus on the application of ES in the repair of articular cartilage in vivo. The ES-induced chondrogenic differentiation of mesenchymal stem cells (MSCs) and its potential regulatory mechanism are discussed in detail. In addition, we discuss the potential of applying piezoelectric materials in the process of constructing engineering articular cartilage, highlighting the important advances in the unique field of tissue engineering

    The complete mitochondrial genome of Indian Cuckoo Cuculus micropterus (Aves: Cuculiformes)

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    The Indian Cuckoo, Cuculus micropterus, belongs to the family Cuculidae. In this paper, we sequenced and analysized the complete mitochondrial genome of C. micropterus. The complete mitochondrial genome of C. micropterus is 17,541 bp in length, which was submitted to the NCBI database under the accession number MZ048030. It contains 13 protein-coding genes, 22 transfer RNA genes, two ribosome RNA genes, and one non-coding control region. The overall base composition of the mitochondrial DNA is 33.2% for A, 24.2% for T, 29.8% for C, and 12.8% for G, with a GC content of 42.6%. In order to explore the molecular phylogenetics evolution of Cuculidae, the nucleotide sequence data of 13 PCGs of C. micropterus and other 11 Cuculiformes were used for the phylogenetic analysis. The result shows that C. micropterus is closely related to Cuculus canorus bakeri. The study contributes to illuminating the taxonomic status of C. micropterus, and may facilitate further investigation of the evolution of Cuculidae

    Improvement in clinical outcome and infection control using molecular diagnostic techniques for early detection of MDR tuberculous spondylitis: a multicenter retrospective study

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    There has been limited research on the therapeutic efficacy of molecular diagnosis of spinal tuberculosis. We attempted to determine whether the utilization of molecular diagnosis to detect multidrug-resistant spinal tuberculosis can improve clinical outcomes. A multicenter retrospective study was conducted from February 2009 to June 2015. Ninety-two consecutive culture-confirmed multidrug-resistant tuberculosis (MDR-TB) patients with spinal tuberculosis who were diagnosed clinically and by imaging were enrolled in the study. The initial time to treatment for MDR-TB, the method of infection control, the erythrocyte sedimentation rate (ESR) and the occurrence of complications in patients who were diagnosed using molecular methods were compared with those of patients diagnosed using standard culture and drug susceptibility test methods. Of 92 MDR-TB patients with spinal tuberculosis, 41 (45%) were diagnosed by standard culture and drug susceptibility test methods (Group A), and 51 (55%) were diagnosed following implementation of detection using molecular diagnosis (Group B). The patients in Group B began the rational use of second-line drugs earlier than patients in Group A (5 days vs 73 days, P<0.05). Among patients who were admitted to a general tuberculosis ward, those in Group B spent less time in the ward than those in Group A (4 days vs 33 days, P<0.05). At the one-month follow-up, the ESR was significantly lower in Group B. In patients who completed 6 months of follow-up (n=92), the incidence of complications was significantly lower in Group B. The use of molecular diagnosis resulted in noteworthy clinical advances, including earlier initiation of MDR-TB treatment, improved infection control, better clinical outcome, a more rapid decrease in ESR and fewer complications.Emerging Microbes & Infections (2017) 6, e97; doi:10.1038/emi.2017.83; published online 8 November 201

    Anti-Inflammatory Effect of Columbianetin on Lipopolysaccharide-Stimulated Human Peripheral Blood Mononuclear Cells

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    Dysregulated inflammation is increasingly considered as the main cause of many diseases on which NOD1/NF-κB pathway plays an important role. Columbianetin (CBT) is derived from the root of the Chinese herb Radix Angelicae Pubescentis for treating inflammatory diseases. Although the anti-inflammatory effect of CBT has been reported, its anti-inflammatory mechanism was poorly studied. In this study, we explored the anti-inflammatory pathway of CBT in lipopolysaccharide- (LPS-) stimulated human peripheral blood mononuclear cell (PBMC) model. Inflammatory cytokine production in culture supernatant was assessed using ELISA assay, and the possible anti-inflammatory pathway of CBT was screened using qPCR array and enrichment analysis with DAVID6.8. To further confirm the targeted pathway of CBT, we pretreated PBMC with the selective NOD1 inhibitor ML130 and then measured the protein levels of the pathway by Western blotting. The result showed that CBT effectively suppressed the expressions of TNF-α, IL-6, MCP-1, and IL-1β in a dose-dependent manner and significantly downregulated 19 out of 32 differentially expressed genes, most of which were involved in the NOD1/NF-κB pathway, and also showed that CBT remarkably inhibited LPS-induced NOD1, RIP2, and NF-κB activation. Furthermore, the inhibitory effects of CBT on NOD1/NF-κB pathways were blocked by ML130. These findings indicated that CBT inhibits the production of inflammatory cytokines induced by LPS involved in the downregulation of NOD1/NF-κB pathways
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