Integrating attention mechanism and multi-scale feature extraction for fall detection.

Addressing the critical need for accurate fall event detection due to their potentially severe impacts, this paper introduces the Spatial Channel and Pooling Enhanced You Only Look Once version 5 small (SCPE-YOLOv5s) model. Fall events pose a challenge for detection due to their varying scales and subtle pose features. To address this problem, SCPE-YOLOv5s introduces spatial attention to the Efficient Channel Attention (ECA) network, which significantly enhances the model's ability to extract features from spatial pose distribution. Moreover, the model integrates average pooling layers into the Spatial Pyramid Pooling (SPP) network to support the multi-scale extraction of fall poses. Meanwhile, by incorporating the ECA network into SPP, the model effectively combines global and local features to further enhance the feature extraction. This paper validates the SCPE-YOLOv5s on a public dataset, demonstrating that it achieves a mean Average Precision of 88.29 %, outperforming the You Only Look Once version 5 small by 4.87 %. Additionally, the model achieves 57.4 frames per second. Therefore, SCPE-YOLOv5s provides a novel solution for fall event detection.

Association of hypomethylation of LINE-1 repetitive element in blood leukocyte DNA with an increased risk of hepatocellular carcinoma.

Global DNA hypomethylation has been associated with increased risk for cancers of the colorectum, bladder, breast, head and neck, and testicular germ cells. The aim of this study was to examine whether global hypomethylation in blood leukocyte DNA is associated with the risk of hepatocellular carcinoma (HCC). A total of 315 HCC cases and 356 age-, sex- and HBsAg status-matched controls were included. Global methylation in blood leukocyte DNA was estimated by analyzing long interspersed element-1 (LINE-1) repeats using bisulfite-polymerase chain reaction (PCR) and pyrosequencing. We observed that the median methylation level in HCC cases (percentage of 5-methylcytosine (5mC)=77.7%) was significantly lower than that in controls (79.5% 5mC) (P=0.004, Wilcoxon rank-sum test). The odds ratios (ORs) of HCC for individuals in the third, second, and first (lowest) quartiles of LINE-1 methylation were 1.1 (95% confidence interval (CI) 0.7-1.8), 1.4 (95% CI 0.8-2.2), and 2.6 (95% CI 1.7-4.1) (P for trend <0.001), respectively, compared to individuals in the fourth (highest) quartile. A 1.9-fold (95% CI 1.4-2.6) increased risk of HCC was observed among individuals with LINE-1 methylation below the median compared to individuals with higher (>median) LINE-1 methylation. Our results demonstrate for the first time that individuals with global hypomethylation measured in LINE-1 repeats in blood leukocyte DNA have an increased risk for HCC. Our data provide the evidence that global hypomethylation detected in the easily obtainable DNA source of blood leukocytes may help identify individuals at risk of HCC.

Association of genetic polymorphisms in STAT1 gene with increased risk of hepatocellular carcinoma.

OBJECTIVE: Although signal transducer and activator of transcription 1 (STAT1), a transcription factor, plays a critical role in carcinogenesis and has been implicated as a tumor suppressor, few studies have investigated the associations between polymorphisms of this gene and the risk of cancer development. The aim of this study was to examine whether STAT1 gene polymorphisms are associated with the risk of hepatocellular carcinoma (HCC). METHODS: Ten single nucleotide polymorphisms in the STAT1 gene were genotyped by TaqMan assays in 469 HCC cases and 558 age-, sex- and HBsAg-matched controls in a Chinese population. RESULTS: Minor allele homozygous genotypes at rs867637 (9,046 bp 3' of STP A>G), rs3771300 (IVS24-153T>G), and rs2280235 (IVS20-103G>A), compared with their homozygote genotypes of common alleles, were associated with 1.6- (95% CI 1.1-2.3), 1.6- (95% CI 1.1-2.4), and 1.4-fold (95% CI 0.95-1.9) increased risk of HCC, respectively. The GGA haplotype, comprised of risk alleles at rs867637, rs3771300 and rs2280235, conferred a 1.2-fold (95% CI 1.0-1.5) increased risk of HCC, as compared to the most common haplotype of ATG. Diplotype GGA/GGA conferred a 1.6-fold (95% CI 1.0-2.5) increased risk of HCC compared with diplotype ATG/ATG. CONCLUSION: Our results demonstrate for the first time that polymorphisms in the STAT1 gene are associated with HCC susceptibility.