The Influence Factors and Promotion Strategies of Coal Enterprise Soft Power

Coal enterprise soft power is an important part of enterprise core competitiveness which is crucial in the development and construction business. According to development feature of coal business and the coal industry combined with the current form of development changes, on the basis of systematically analyzing the formation affecting factors of coal enterprise soft power, the writer thinks that coal enterprises should shape the corporate culture, continue to enhance the coal enterprise management innovation and technological innovation, focus on personnel training of coal enterprises, fully modify the image of coal enterprises to enhance the soft power, and take enterprise soft power building as hard power to expand and extend the platform to improve coal enterprise comprehensive strength and competitiveness

Investigation of inflammatory mechanisms in models of osteoarthritic pain

ABSTRACT Background：Osteoarthritis (OA) is a highly prevalent joint degenerative disorder among the older population. The main symptoms of OA are chronic pain, swelling and stiffness of joint. OA histopathology is characterized by cartilage damage, synovial inflammation and remodelling of subchondral bone. Resolvins are endogenous lipid mediators produced from Ω-3 poly-unsaturated fatty acids (PUFAs) during resolution of inflammation. The main biological functions of resolvins include anti-inflammation and resolution of inflammation. Currently, the emerging anti-nociceptive roles of some resolvins have been reported in various models of pain. However, roles of resolvins and the resolvin receptor system on osteoarthritic pain are unknown. Objectives: This thesis assesses the therapeutic potential of a resolvin precursor on OA pain and investigates the underlying mechanisms of action and resolvin receptor system in OA. Methods：Monosodium iodoacetate (MIA) and medial meniscus transection (MNX) -induced joint damage was used as models of OA pain. 17(R)-HDoHE (300ng/300μl) or vehicle (1% ethanol in saline, 300μl) was acutely or chronically administered at day 14 post model induction and pain behaviour was measured to determine the analgesic effects of the drug in these models. Haematoxylin and eosin (H&E) staining was used to assess joint histopathology. Gene expression of resolvin receptors, inflammatory cytokines and metabolic enzymes were measured by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in associated tissues from the models and human OA samples. Results: Pain behaviour and joint histopathology were established in both the MIA and MNX models. Expression of chemokine-like receptor 1(ChemR23) was lower in the synovia and higher in the spinal cord in the MIA model. 15-lipoxygenase (15-LOX) was expressed at a lower level in both synovia and spinal cord in the MIA model. Negative correlations were revealed between synovial ChemR23 expression and pain behaviour at both day 14 and 35 in the MIA model. ChemR23 expression in the spinal cord was positively correlated with pain behaviour at day 35 in the MIA model. Expression of formyl peptide receptor 2 (ALX), some inflammatory cytokines and metabolic enzymes was lower in the synovia in the MNX model but expression of 5-lipoxygenase-activating protein (FLAP) was higher. Expression of ALX in the synovia was positively correlated with tumor necrosis factor alfa (TNFα), interleukin 1 beta (IL1β) and cyclooxygenase 2(COX2) but negatively correlated with 5-LOX expression in the MIA model. Expression of ALX in the spinal cord was positively correlated with pain behaviour at day 14 but then the converse was true at day 35. Expression of ALX in the spinal cord was negatively correlated with IL6 in the MIA model. 17(R)HDoHE attenuated pain behaviour in both the MIA and MNX models following acute, chronic and discontinuous administration. Effects of acute administration of 17(R)HDoHE on pain behaviour were associated with an up-regulation in the expression of IL6 and decreased 5-LOX expression in the synovia of MIA model. A trend towards down-regulation of pro-inflammatory cytokines and associated enzymes by 17(R)HDoHE was observed in the acute study in the MIA model. Repeated administration of 17(R)HDoHE produced robust and sustained inhibitory effects on pain behaviour, but no change in joint histopathology. Pain behaviour was attenuated when 17(R)HDoHE was administered but returned to levels seen in vehicle treated rats after 7 days after drug cessation. In human OA samples, expression of ChemR23 was significantly higher than expression of ALX in both synovia and medial tibial plateau. ChemR23 expression was positively correlated with expression of 5-LOX in both synovia and medial tibial plateau and negatively correlated with 15-LOX2 expression in the medial tibial plateau from OA patients. There was a significantly positive correlation between ChemR23 expression and IL6 and 15-LOX1 expression in the medial tibial plateau. In addition, there was a significantly positive correlation between ALX and IL6 and 15-LOX1 expression in both synovia and medial tibial plateau. Expression of ALX, TNFα, IL6, COX2 and 5-LOX in the medial tibial plateau from OA patients was lower, compared to expression in bone from femoral heads obtained from trauma patients. Conclusions: These findings support anti-nociceptive and anti-inflammatory roles of resolvins and provide evidence that resolvins may be potential novel drugs to treat OA pai

Investigation of inflammatory mechanisms in models of osteoarthritic pain

ABSTRACT Background：Osteoarthritis (OA) is a highly prevalent joint degenerative disorder among the older population. The main symptoms of OA are chronic pain, swelling and stiffness of joint. OA histopathology is characterized by cartilage damage, synovial inflammation and remodelling of subchondral bone. Resolvins are endogenous lipid mediators produced from Ω-3 poly-unsaturated fatty acids (PUFAs) during resolution of inflammation. The main biological functions of resolvins include anti-inflammation and resolution of inflammation. Currently, the emerging anti-nociceptive roles of some resolvins have been reported in various models of pain. However, roles of resolvins and the resolvin receptor system on osteoarthritic pain are unknown. Objectives: This thesis assesses the therapeutic potential of a resolvin precursor on OA pain and investigates the underlying mechanisms of action and resolvin receptor system in OA. Methods：Monosodium iodoacetate (MIA) and medial meniscus transection (MNX) -induced joint damage was used as models of OA pain. 17(R)-HDoHE (300ng/300μl) or vehicle (1% ethanol in saline, 300μl) was acutely or chronically administered at day 14 post model induction and pain behaviour was measured to determine the analgesic effects of the drug in these models. Haematoxylin and eosin (H&E) staining was used to assess joint histopathology. Gene expression of resolvin receptors, inflammatory cytokines and metabolic enzymes were measured by reverse transcription quantitative polymerase chain reaction (RT-qPCR) in associated tissues from the models and human OA samples. Results: Pain behaviour and joint histopathology were established in both the MIA and MNX models. Expression of chemokine-like receptor 1(ChemR23) was lower in the synovia and higher in the spinal cord in the MIA model. 15-lipoxygenase (15-LOX) was expressed at a lower level in both synovia and spinal cord in the MIA model. Negative correlations were revealed between synovial ChemR23 expression and pain behaviour at both day 14 and 35 in the MIA model. ChemR23 expression in the spinal cord was positively correlated with pain behaviour at day 35 in the MIA model. Expression of formyl peptide receptor 2 (ALX), some inflammatory cytokines and metabolic enzymes was lower in the synovia in the MNX model but expression of 5-lipoxygenase-activating protein (FLAP) was higher. Expression of ALX in the synovia was positively correlated with tumor necrosis factor alfa (TNFα), interleukin 1 beta (IL1β) and cyclooxygenase 2(COX2) but negatively correlated with 5-LOX expression in the MIA model. Expression of ALX in the spinal cord was positively correlated with pain behaviour at day 14 but then the converse was true at day 35. Expression of ALX in the spinal cord was negatively correlated with IL6 in the MIA model. 17(R)HDoHE attenuated pain behaviour in both the MIA and MNX models following acute, chronic and discontinuous administration. Effects of acute administration of 17(R)HDoHE on pain behaviour were associated with an up-regulation in the expression of IL6 and decreased 5-LOX expression in the synovia of MIA model. A trend towards down-regulation of pro-inflammatory cytokines and associated enzymes by 17(R)HDoHE was observed in the acute study in the MIA model. Repeated administration of 17(R)HDoHE produced robust and sustained inhibitory effects on pain behaviour, but no change in joint histopathology. Pain behaviour was attenuated when 17(R)HDoHE was administered but returned to levels seen in vehicle treated rats after 7 days after drug cessation. In human OA samples, expression of ChemR23 was significantly higher than expression of ALX in both synovia and medial tibial plateau. ChemR23 expression was positively correlated with expression of 5-LOX in both synovia and medial tibial plateau and negatively correlated with 15-LOX2 expression in the medial tibial plateau from OA patients. There was a significantly positive correlation between ChemR23 expression and IL6 and 15-LOX1 expression in the medial tibial plateau. In addition, there was a significantly positive correlation between ALX and IL6 and 15-LOX1 expression in both synovia and medial tibial plateau. Expression of ALX, TNFα, IL6, COX2 and 5-LOX in the medial tibial plateau from OA patients was lower, compared to expression in bone from femoral heads obtained from trauma patients. Conclusions: These findings support anti-nociceptive and anti-inflammatory roles of resolvins and provide evidence that resolvins may be potential novel drugs to treat OA pai

Experimental Results of Underwater Sound Speed Profile Inversion by Few-shot Multi-task Learning

Underwater Sound Speed Profile (SSP) distribution has great influence on the propagation mode of acoustic signal, thus the fast and accurate estimation of SSP is of great importance in building underwater observation systems. The state-of-the-art SSP inversion methods include frameworks of matched field processing (MFP), compressive sensing (CS), and feedforeward neural networks (FNN), among which the FNN shows better real-time performance while maintain the same level of accuracy. However, the training of FNN needs quite a lot historical SSP samples, which is diffcult to be satisfied in many ocean areas. This situation is called few-shot learning. To tackle this issue, we propose a multi-task learning (MTL) model with partial parameter sharing among different traning tasks. By MTL, common features could be extracted, thus accelerating the learning process on given tasks, and reducing the demand for reference samples, so as to enhance the generalization ability in few-shot learning. To verify the feasibility and effectiveness of MTL, a deep-ocean experiment was held in April 2023 at the South China Sea. Results shows that MTL outperforms the state-of-the-art methods in terms of accuracy for SSP inversion, while inherits the real-time advantage of FNN during the inversion stage

Targeting the D-series resolvin receptor system for the treatment of osteoarthritic pain

Objective: Pain is a major symptom of osteoarthritis (OA); current analgesics either do not offer adequate pain relief or are associated with serious side effects. Herein we have investigated the therapeutic potential of targeting the resolvin receptor system to modify OA pain and pathology. Methods: Gene expression of two resolvin receptors (ALX and ChemR23) was quantified in synovia and medial tibial plateau collected from patients at joint replacement for OA. Two models of OA joint pain were used for mechanistic studies. Gene expression in the periphery and CNS were quantified. Effects of exogenous administration of the D-series resolvin precursor 17(R)-hydroxy Docosahexaenoic Acid (17(R)-HDoHE on pain behaviour, joint pathology, spinal microglia and astroglyosis were quantified. Plasma levels of relevant lipids, resolvin D2, 17R-HDoHE and arachidonic acid was determined in rats using LC-MS-MS. Results: There was a positive correlation between resolvin receptor and IL6 expression in human OA synovia and medial tibial plateau. In the rat, synovia gene expression of ALX was positively correlated with IL1β, TNFα and COX2. Treatment with 17(R)-HDoHE reversed established pain behaviour in two models of OA pain, but not joint pathology. This was associated with a significant elevation in plasma levels of resolvin D2 and a significant reduction in astrogliosis in the spinal cord in the MIA model. Conclusion: Our preclinical data demonstrate robust analgesics effects of activating the D series resolvin pathways in two different animal models of OA. Our data support a predominant central mechanism of action in this clinically relevant model of OA pain

TELA: Text to Layer-wise 3D Clothed Human Generation

This paper addresses the task of 3D clothed human generation from textural descriptions. Previous works usually encode the human body and clothes as a holistic model and generate the whole model in a single-stage optimization, which makes them struggle for clothing editing and meanwhile lose fine-grained control over the whole generation process. To solve this, we propose a layer-wise clothed human representation combined with a progressive optimization strategy, which produces clothing-disentangled 3D human models while providing control capacity for the generation process. The basic idea is progressively generating a minimal-clothed human body and layer-wise clothes. During clothing generation, a novel stratified compositional rendering method is proposed to fuse multi-layer human models, and a new loss function is utilized to help decouple the clothing model from the human body. The proposed method achieves high-quality disentanglement, which thereby provides an effective way for 3D garment generation. Extensive experiments demonstrate that our approach achieves state-of-the-art 3D clothed human generation while also supporting cloth editing applications such as virtual try-on. Project page: http://jtdong.com/tela_layer

Family history of hepatocellulcar carcinoma is not associated with its patients’ prognosis after hepatectomy

Abstract Background Family history of liver cancer is a major risk factor for hepatocellular carcinoma (HCC). In this study, we investigated the prognosis of patients with HCC with or without family history. Methods Data for 1,313 patients who underwent hepatectomy as initial treatment for HCC between 2000 and 2008 at a tertiary cancer center hospital were retrieved from a prospective database. A positive family history was defined as a self-reported history of HCC in first-degree relatives. Clinicopathologic characteristics were compared by family history. Kaplan-Meier method and Cox proportional hazards regressions were applied for overall survival (OS) and disease-free survival (DFS). Results Of 1,313 patients, 169 patients (12.9%) had first-degree relatives with a history of HCC. There were no significant differences between patients with or without family history in basic clinicopathologic characteristics. In either whole group or each stage according to the TNM staging system, first-degree family history was not associated with survival in all patients, hepatitis B virus-positive patients, as well as male patients. Multivariate analysis revealed that first-degree family history was not a prognostic factor, either for OS or DFS. Conclusion A first-degree family history of HCC is not associated with its patients’ prognosis after hepatectomy. </jats:sec

Bone Mineral Density Reference Standards for Chinese Children Aged 3-18: Cross-Sectional Results of the 2013-2015 China Child and Adolescent Cardiovascular Health (CCACH) Study

Objectives: No nationwide paediatric reference standards for bone mineral density (BMD) are available in China. We aimed to provide sex-specific BMD reference values for Chinese children and adolescents (3-18 years). Methods: Data (10 818 participants aged 3-18 years) were obtained from cross-sectional surveys of the China Child and Adolescent Cardiovascular Health in 2015, which included four municipality cities and three provinces. BMD was measured using Hologic Discovery Dual Energy X-ray Absorptiometry (DXA) scanner. The DXA measures were modelled against age, with height as an independent variable. The LMS statistical method using a curve fitting procedure was used to construct reference smooth cross-sectional centile curves for dependent versus independent variables. Results: Children residing in Northeast China had the highest total body less head (TBLH) BMD while children residing in Shandong Province had the lowest values. Among children, TBLH BMD was higher for boys as compared with girls; but, it increased with age and height in both sexes. Furthermore, TBLH BMD was higher among US children as compared with Chinese children. There was a large difference in BMD for height among children from these two countries. US children had a much higher BMD at each percentile (P) than Chinese children; the largest observed difference was at P50 and P3 and the smallest difference was at P97. Conclusions: This is the first study to present a sex-specific reference dataset for Chinese children aged 3-18 years. The data can help clinicians improve interpretation, assessment and monitoring of densitometry results

VideoLLM: Modeling Video Sequence with Large Language Models

With the exponential growth of video data, there is an urgent need for automated technology to analyze and comprehend video content. However, existing video understanding models are often task-specific and lack a comprehensive capability of handling diverse tasks. The success of large language models (LLMs) like GPT has demonstrated their impressive abilities in sequence causal reasoning. Building upon this insight, we propose a novel framework called VideoLLM that leverages the sequence reasoning capabilities of pre-trained LLMs from natural language processing (NLP) for video sequence understanding. VideoLLM incorporates a carefully designed Modality Encoder and Semantic Translator, which convert inputs from various modalities into a unified token sequence. This token sequence is then fed into a decoder-only LLM. Subsequently, with the aid of a simple task head, our VideoLLM yields an effective unified framework for different kinds of video understanding tasks. To evaluate the efficacy of VideoLLM, we conduct extensive experiments using multiple LLMs and fine-tuning methods. We evaluate our VideoLLM on eight tasks sourced from four different datasets. The experimental results demonstrate that the understanding and reasoning capabilities of LLMs can be effectively transferred to video understanding tasks. We release the code at https://github.com/cg1177/VideoLLM.Comment: Technical Repor