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  • Frontiers Media SA  (3)
  • 1
    Online Resource
    Online Resource
    YOLO-Rip: A modified lightweight network for Rip currents detection
    Frontiers Media SA ; 2022
    In:  Frontiers in Marine Science Vol. 9 ( 2022-8-9)
    Details
    In: Frontiers in Marine Science, Frontiers Media SA, Vol. 9 ( 2022-8-9)
    Abstract: Rip currents form on beaches worldwide and pose a potential safety hazard for beach visitors. Therefore, effectively identifying rip currents from beach scenes and providing real-time alerts to beach managers and beachgoers is crucial. In this study, the YOLO-Rip model was proposed to detect rip current targets based on current popular deep learning techniques. First, based on the characteristics of a large target size in rip current images, the neck region in the YOLOv5s model was streamlined. The 80 × 80 feature map branches suitable for detecting small targets were removed to reduce the number of parameters, decrease the complexity of the model, and improve the real-time detection performance. Subsequently, we proposed adding a joint dilated convolutional (JDC) module to the lateral connection of the feature pyramid network (FPN) to expand the perceptual field, improve feature information utilization, and reduce the number of parameters, while keeping the model compact. Finally, the SimAM module, which is a parametric-free attention mechanism, was added to optimize the target detection accuracy. Several mainstream neural network models have been used to train self-built rip current image datasets. The experimental results show that (i) the detection results from different models using the same dataset vary greatly and (ii) compared with YOLOv5s, YOLO-Rip increased the mAP value by approximately 4% (to 92.15%), frame rate by 2.18 frames per second, and the model size by only 0.46 MB. The modified model improved the detection accuracy while keeping the model streamlined, indicating its efficiency and accuracy in the detection of rip currents.
    Type of Medium: Online Resource
    ISSN: 2296-7745
    URL: Article
    DOI: 10.3389/fmars.2022.930478
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2757748-X
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  • 2
    Online Resource
    Online Resource
    Effects of sources and levels of dietary supplementary manganese on growing yak’s in vitro rumen fermentation
    Frontiers Media SA ; 2023
    In:  Frontiers in Veterinary Science Vol. 10 ( 2023-6-9)
    Details
    In: Frontiers in Veterinary Science, Frontiers Media SA, Vol. 10 ( 2023-6-9)
    Abstract: Manganese (Mn) is an essential trace element for livestock, but little is known about the optimal Mn source and level for yak. Methods To improve yak’s feeding standards, a 48-h in vitro study was designed to examine the effect of supplementary Mn sources including Mn sulfate (MnSO 4 ), Mn chloride (MnCl 2 ), and Mn methionine (Met-Mn) at five Mn levels, namely 35 mg/kg, 40 mg/kg, 50 mg/kg, 60 mg/kg, and 70 mg/kg dry matter (includes Mn in substrates), on yak’s rumen fermentation. Results Results showed that Met-Mn groups showed higher acetate ( p & lt; 0.05), propionate, total volatile fatty acids ( p & lt; 0.05) levels, ammonia nitrogen concentration ( p & lt; 0.05), dry matter digestibility (DMD), and amylase activities ( p & lt; 0.05) compared to MnSO4 and MnCl2 groups. DMD ( p & lt; 0.05), amylase activities, and trypsin activities ( p & lt; 0.05) all increased firstly and then decreased with the increase of Mn level and reached high values at 40–50 mg/kg Mn levels. Cellulase activities showed high values ( p & lt; 0.05) at 50–70 mg/kg Mn levels. Microbial protein contents ( p & lt; 0.05) and lipase activities of Mn-Met groups were higher than those of MnSO4 and MnCl2 groups at 40–50 mg/kg Mn levels. Discussion Therefore, Mn-met was the best Mn source, and 40 to 50 mg/kg was the best Mn level for rumen fermentation of yaks.
    Type of Medium: Online Resource
    ISSN: 2297-1769
    URL: Article
    DOI: 10.3389/fvets.2023.1175894
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
    detail.hit.zdb_id: 2834243-4
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  • 3
    Online Resource
    Online Resource
    Nutritional risk factors in patients with nasopharyngeal carcinoma: a cross-sectional study
    Frontiers Media SA ; 2024
    In:  Frontiers in Nutrition Vol. 11 ( 2024-5-20)
    Details
    In: Frontiers in Nutrition, Frontiers Media SA, Vol. 11 ( 2024-5-20)
    Abstract: Patients with nasopharyngeal carcinoma are notably susceptible to high nutritional risks. If not addressed, this susceptibility can lead to malnutrition, resulting in numerous adverse clinical outcomes. Despite the significance of this issue, there is limited comprehensive research on the topic. Objective The objective of our study was to identify nutritional risk factors in patients with nasopharyngeal carcinoma. Methods For this cross-sectional study, we recruited a total of 377 patients with nasopharyngeal carcinoma. The Nutritional Risk Screening 2002 tool was used to assess their nutritional risk. These patients were divided into a well-nourished group ( n = 222) and a nutritional risk group ( n = 155). Potential risk factors were screened out using univariate analysis ( p & lt; 0.1). These factors were subsequently analyzed with multivariate logistic regression analysis ( p & lt; 0.05) to identify the nutritional risk factors for these patients. Results Our findings indicated that increasing age (OR = 1.085, 95%CI: 1.053–1.117, p & lt; 0.001), high number of radiation treatments (OR = 1.103, 95%CI: 1.074–1.132, p & lt; 0.001), low BMI (OR = 0.700, 95%CI: 0.618–0.793, p & lt; 0.001), and low albumin levels (OR = 0.852, 95%CI: 0.789–0.921, p & lt; 0.001) are significant nutritional risk factors in patients with nasopharyngeal carcinoma. Conclusion Increasing age, high number of radiation treatments, low BMI, and low albumin levels are significant nutritional risk factors in patients with nasopharyngeal carcinoma.
    Type of Medium: Online Resource
    ISSN: 2296-861X
    URL: Article
    DOI: 10.3389/fnut.2024.1386361
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2024
    detail.hit.zdb_id: 2776676-7
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