Search

Knowledge graph completion can make knowledge graph more complete. However, traditional knowledge graph completion methods assume that all test entities and relations appear in the training process. Due to the evolving nature of real world KG, once unseen entities or relations appear, the knowledge graph needs to be retrained. Inductive learning for knowledge graph completion aims to complete triples containing unseen entities or unseen relations without training the knowledge graph from scratch, so it has received much attention in recent years. Firstly, starting from the basic concept of knowledge graph, this paper divides knowledge graph completion into two categories: transductive and inductive. Secondly, from the theoretical perspective of inductive knowledge graph completion, it is divided into two categories: semi-inductive and fully-inductive, and the models are summarized from this perspective. Then, from the technical perspective of inductive knowledge graph completion, it is divided into two categories: based on structural information and based on additional information. The methods based on structural information are subdivided into three categories: based on inductive embedding, based on logical rules and based on meta learning, and the methods based on additional information are subdivided into two categories: based on text information and other information. The current methods are further subdivided, analyzed and compared. Finally, it forecasts the main research directions in the future.

] Nutrition is closely associated with the occurrence and development of chronic diseases. Especially, with the rapid development of society and economy and changes in lifestyle and dietary patterns, chronic diseases show a trend of high prevalence. So, enhancing the nutritional literacy is of great significance in the prevention and treatment of chronic diseases. In recent years, with continuously deepening research on nutrition sciences, it has been found that there is a certain correlation between dietary nutrition and occurrence and development of chronic diseases. Reasonable dietary nutrition can not only fundamentally prevent or delay the occurrence of chronic diseases, but also affect their outcomes. The effects of nutrients and phytochemicals in the diet on chronic diseases have gradually been elucidated, and the focuses on exploring new strategies or new targets for the prevention and treatment of chronic diseases through dietary nutrition will be a research hotspot in the future. In this article, we focus on the current research status in the field of dietary nutrition for prevention and treatment of chronic diseases and summarize the research progresses in order to provide references for carrying out researches in the aspect in our country.

Objective To observe the effect of equol (Eq) intervention on osteoblasts induced by high glucose and fat, and to explore its mechanism of action. Methods After ROS1728 osteoblasts were treated with different concentrations of Eq, sodium palmitate (PA) and glucose (GLU) for 48 h, nuclear apoptosis was observed by HE staining and cell survival rate was detected by CCK-8 assay in order to determine the optimal concentrations of GLU, PA and Eq interventions to induce cellular model of diabetic osteoporosis. ROS1728 cells were then divided into control group (5.5 mmol/L GLU), model group (30 mmol/L GLU+250 μmol/L PA), and low, medium and high dose Eq treatment groups (model+1×10-8, 1×10-7 and 1×10-6 mol/L Eq). CCK8 assay was used to detect cell viability, and flow cytometry for cell apoptosis. Hoechst33342 staining and HE staining were employed to observe apoptotic nuclei. Mitochondrial structure, mitochondrial membrane potential (MMP) changes, and protein levels of Sirt1, PGC-1α, Bcl-2, Bax and Cleaved caspase-3 were observed by transmission electron microscopy, Mito-Tracker Red CMXRos (mitochondrial red fluorescent probe) staining, and Western blotting, respectively. Results Compared with the control group, treatment of 30 mmol/L GLU and 250 μmol/L PA significantly reduced the cell viability rate (P < 0.05) and increased the apoptotic rate (P < 0.05), and the optimal concentrations were determined to induce high glucose and fat environment of osteoblasts. While Eq intervention significantly increased the survival rate and decreased the apoptotic rate (P < 0.05), attenuated the damage of mitochondrial structure, elevated MMP (P < 0.05) and decreased ROS level (P < 0.05), as well as up-regulated the expression levels of Sirt1, PGC-1α and Bcl-2 and down-regulated those of Bax and Cleaved caspase-3 (P < 0.05). Conclusion Eq intervention could effectively reduce mitochondrial damage, oxidative stress and apoptosis of osteoblasts induced by high glucose and fat, which might be partially related to its activation of Sirt1 and PGC-1α.

Objective To explore the effect and mechanism of equol(Eq) on the proliferation and apoptosis of osteoblasts in high-glucose and high-fat environment. Methods High-glucose and high-fat model of ROS17/2.8 osteoblasts was established, and cells were divided into the control group (C group) and the model group (M group), the Eq-7 group (1×10-7mol/L Eq), the Eq-6 group(1×10-6mol/L Eq) and the Eq-5 group(10-5mol/L Eq). CCK-8 assay and HE staining was used to detect the viability and morphology of osteoblasts; Flow cytometry was used to test the apoptosis and cell cycle; Western blotting was used to detect the phosphorylation of PI3K/AKT signaling pathway and expression of associated proteins of osteoblasts. PI3K inhibitor was added to confirm the role of PI3K/AKT signaling pathway in the osteoprotective effect of Eq. Results Compared with the C group, the cell structure of the M group was significantly damaged, the cell survival rate, proportion of S phase of cell cycle, the degree of phosphorylation of PI3K/AKT pathway, the expression of Cyclin D1 and Bcl-2 in the M group decreased, while cell inhibition rate, cell apoptosis, proportion of G1 phase of cell cycle, the expression of Bax and cleaved caspase-3 of the M group increased (P < 0.05); Compared with the M group, the Eq groups had increased cell survival rate, decreased cell inhibition rate, enhanced fraction of osteoblast in the S phase and decreased osteoblast apoptosis rate(P < 0.05). Eq treatment enhanced the phosphorylation of PI3K/AKT pathway of osteoblasts and increased expression level of Cyclin D1 and Bcl-2 protein and decreased expression of Bax and cleaved caspase-3 (P < 0.05). The intervention effect of Eq enhanced with the increase of concentration of Eq. However, this regulatory effect of Eq almost disappeared after co-administration of PI3K inhibitor. Conclusion Eq can reduce the apoptosis and promote the proliferation of osteoblasts in the high-glucose and high-fat environment by activating the PI3K/AKT pathway.

Foggy and hazy weather conditions can significantly reduce the clarity of images captured by cameras, making it difficult for object detection algorithms to accurately recognize targets. This degradation can cause failures in autonomous or assisted driving systems, posing severe safety threats to both drivers and passengers. To address the issue of decreased detection accuracy in foggy weather, we propose an object detection algorithm specifically designed for such environments, named AODs-CLYOLO. To effectively handle images affected by fog, we introduce an image dehazing model, AODs, which is more suitable for detection tasks. This model incorporates a Channel–Pixel (CP) attention mechanism and a new Contrastive Regularization (CR), enhancing the dehazing effect while preserving the integrity of image information. For the detection network component, we propose a learnable Cross-Stage Partial Connection Module (CSPCM++), which is used before the detection head. Alongside this, we integrate the LSKNet selective attention mechanism to improve the extraction of effective features from large objects. Additionally, we apply the FocalGIoU loss function to enhance the model's performance in scenarios characterized by sample imbalance or a high proportion of difficult samples. Experimental results demonstrate that the AODs-CLYOLO detection algorithm achieves up to a 10.1% improvement in the mAP (0.5:0.95) metric compared to the baseline model YOLOv5s. [ABSTRACT FROM AUTHOR]

对广西玉林市居民通过小作坊花生油摄入黄曲霉毒素B1(AFB1)进行膳食暴露及风险评估，并提出要求。按不同区域，不同性别，城市、农村，年龄/城乡/性别进行分组，结合广西居民膳食B模式数据，采用点评估模型计算暴露量，采用BMDL10为400 ng/(kg·d)计算暴露限值（MOE）。结果发现，广西玉林市小作坊花生油AFB1检出率为59%，超标率为18.6%，含量范围为0.05～243.00 μg/kg，平均含量为16.91 μg/kg,极显著高于预包装花生油的平均含量（P＜0.01）。全市小作坊花生油的AFB1平均暴露量为7.76 ng/(kg·d)，MOE为52，各组平均日膳食暴露MOE均介于200～25之间。以各组MOE进行AFB1暴露风险评估，发现6个县市区域中XY（MOE 27）、BL（MOE 37）风险最高，农村（MOE 46）风险高于城市（MOE 73），女性（MOE 49）风险高于男性（MOE 55），6～11岁人群（MOE 41～25）风险＞12～14岁人群风险（MOE 70～37）＞15岁以上人群风险（MOE 85～44）。广西玉林市居民通过小作坊花生油摄入AFB1潜在健康风险较高，应该引起较高的公共卫生关注度。 The dietary exposure and risk of aflatoxin B1 (AFB1) in peanut oil of small workshops in Yulin City, Guangxi Province was assessed and some requirements were put forward. According to regions, genders, urban and rural and ages/urban and rural/genders were divided into groups. Combined with the B dietary pattern data of Guangxi residents, the exposure amount in the Point Estimate Model and the MOE by BMDL10 400 ng/(kg·d) were calculated. The results showed that the detection rate of AFB1 in peanut oil of small workshops in Yulin, Guangxi was 59% and the exceeding standard rate was 18.6%. The content range of AFB1 was between 0.05 μg/kg to 243.00 μg/kg. The average content was 16.91 μg/kg, which was significantly higher than that of the packaging peanut oil (P cities (MOE 73); women (MOE 49) > men (MOE 55); the residents at the age between 6 and 11 (MOE 41-25) > the residents at the age between 12 and 14 (MOE 70-37) > the residents over the age of 15 (MOE 85-44). There was potentially high health risk for the intake of AFB1 from the peanut oil of small workshops in the city. It should attract the great public health attention.