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Fast and accurate detection of ship objects in remote sensing images must overcome two critical problems: the complex content of remote sensing images and the large number of small objects reduce ship detection efficiency. In addition, most existing deep learning-based object detection models require vast amounts of computation for training and prediction, making them difficult to deploy on mobile devices. This paper focuses on an efficient and lightweight ship detection model. A new efficient ship detection model based on device–cloud collaboration is proposed, which achieves joint optimization by fusing the semantic segmentation module and the object detection module. We migrate model training, image storage, and semantic segmentation, which require a lot of computational power, to the cloud. For the front end, we design a mask-based detection module that ignores the computation of nonwater regions and reduces the generation and postprocessing time of candidate bounding boxes. In addition, the coordinate attention module and confluence algorithm are introduced to better adapt to the environment with dense small objects and substantial occlusion. Experimental results show that our device–cloud collaborative approach reduces the computational effort while improving the detection speed by 42.6% and also outperforms other methods in terms of detection accuracy and number of parameters. [ABSTRACT FROM AUTHOR]

Third-generation sequencing (TGS) technologies have revolutionized genome science in the past decade. However, the long-read data produced by TGS platforms suffer from a much higher error rate than that of the previous technologies, thus complicating the downstream analysis. Several error correction tools for long-read data have been developed; these tools can be categorized into hybrid and self-correction tools. So far, these two types of tools are separately investigated, and their interplay remains understudied. Here, we integrate hybrid and self-correction methods for high-quality error correction. Our procedure leverages the inter-similarity between long-read data and high-accuracy information from short reads. We compare the performance of our method and state-of-the-art error correction tools on Escherichia coli and Arabidopsis thaliana datasets. The result shows that the integration approach outperformed the existing error correction methods and holds promise for improving the quality of downstream analyses in genomic research. [ABSTRACT FROM AUTHOR]

Objective: To analyze the efficacy of phloroglucinol versus ritodrine hydrochloride in preventing miscarriage and adverse reactions (ARs)., Methods: A retrospective analysis was conducted on 211 patients with threatened abortion or premature birth who were admitted to the Second Affiliated Hospital of Shaanxi University of Traditional Chinese Medicine between July 2019 and July 2021. The control group (n=57) received ritodrine hydrochloride, while the observation group (n=154) was treated with phloroglucinol. We compared the overall therapeutic efficacy, time to symptom resolution, cessation of uterine contractions, success rate of miscarriage prevention, and full-term pregnancy rate between the two groups. Estrogen levels, including serum progesterone (P), estradiol (E2), and human chorionic gonadotropin (hCG), were measured and compared before and after treatment using ELISA. Additionally, neonatal outcomes, such as birth weight, Apgar scores, and umbilical arterial blood gas parameters [pH value, partial pressure of oxygen (PaO 2 ), and partial pressure of carbon dioxide (PaCO 2 )], were evaluated and compared between the groups. Finally, the incidence of ARs during treatment was assessed and compared., Results: Compared to the control group, the observation group had higher effective rate of treatment, success rate of miscarriage prevention, and a full-term pregnancy rate (all P<0.05). The times to symptom resolution and cessation of uterine contractions were markedly shorter in the observation group than those in the control group (both P<0.05). After treatment, levels of serum P, E 2 , and hCG in the observation group were significantly higher than those of the control group (all P<0.05). Additionally, the body weight, Apgar scores, pH value, and PaO 2 of the neonates in the observation group were higher, while PaCO 2 and the incidence of ARs were lower compared to the control group (all P<0.05)., Conclusion: For threatened abortion or threatened premature labor, phloroglucinol is more effective than ritodrine hydrochloride for clinical intervention and treatment., Competing Interests: None., (AJTR Copyright © 2024.)