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The large size and complexity of most fern genomes have hampered efforts to elucidate fundamental aspects of fern biology and land plant evolution through genome-enabled research. Here we present a chromosomal genome assembly and associated methylome, transcriptome and metabolome analyses for the model fern species Ceratopteris richardii. The assembly reveals a history of remarkably dynamic genome evolution including rapid changes in genome content and structure following the most recent whole-genome duplication approximately 60 million years ago. These changes include massive gene loss, rampant tandem duplications and multiple horizontal gene transfers from bacteria, contributing to the diversification of defence-related gene families. The insertion of transposable elements into introns has led to the large size of the Ceratopteris genome and to exceptionally long genes relative to other plants. Gene family analyses indicate that genes directing seed development were co-opted from those controlling the development of fern sporangia, providing insights into seed plant evolution. Our findings and annotated genome assembly extend the utility of Ceratopteris as a model for investigating and teaching plant biology.

ObjectiveTo determine the epidemiological and etiological characteristics of hand，foot，and mouth disease （HFMD） in Pujiang County from 2008 through 2020， so as to provide scientific evidence for prevention and control measures.MethodsDescriptive epidemiological analysis was used to analyze HFMD cases retrieved in the Chinese Information System for Disease Control and Prevention in Pujiang County during 2008‒2020.ResultsFrom 2008 through 2020， a total of 9 393 cases were documented in Pujiang County， with an annual incidence of 182.3 per 100 000， showing a trend of alternating high-incidence and low-incidence years. The seasonal distribution was bimodal， and the incidence peaked in May-July and November-December. The incidence of HFMD in urban areas was significantly higher than that in rural areas， and the incidence was positively correlated with population density. Majority of cases （94.9%） were children under 5 years old， of which boys had higher incidence than girls. The number of documented cases was the highest among preschool children living in families and kindergartens， accounting for 97.3%. Totally， 558 cases were laboratory confirmed in Pujiang County in 2008-2020， of which severe cases were all caused by EV71 infection.ConclusionEnterovirus serotypes in HFMD have continually changed from 2008 through 2020 in Pujiang County. However， severe HFMD remains principally attributable to EV71 infection， suggesting that it is necessary to strengthen the surveillance on the etiology of HFMD. In addition， it warrants further promotion of EV71 vaccination.

We investigate the extent of investors' awareness of the bubble risk of assets' fundamental value by examining Chinese listed companies' goodwill bubbles. We find that firms with larger goodwill have a higher possibility of goodwill impairment recognition in the future, indicating a higher bubble risk of companies' assets fundamental. Next, we find that firms with more goodwill experience lower stock returns in subsequent 1–3 years, which means investors do not demand corresponding risk compensation and underestimate the goodwill bubble risk for these firms. Furthermore, we investigate five behavioral biases driving investors to underestimate the bubble risk. The results show that investors' gambling preference for bubble assets is the key driver, while investors limited attention, extrapolation, opinion divergence, and earnings expectation are not applicable in our setting. Our study suggests that investors' gambling preference is a channel through which the risk of companies' assets fundamental bubble transmits to the stock market. [ABSTRACT FROM AUTHOR]

The new development pattern has identified two key avenues for the sustained advancement of high-quality agricultural and rural development: digitalisation and low-carbon development. The measurement of the digital economy and the agricultural carbon emission performance, and their spatial and temporal heterogeneity, is a crucial step in promoting the spatial coordination and sustainable development of digitalisation and low-carbon agriculture. This paper employs the entropy value method, SBM model, and coupling coordination degree model to investigate the coupling coordination measurement and spatial-temporal heterogeneity of the performance of the digital economy and agricultural carbon emissions. The data used are provincial panel data from 2013 to 2021. The simulation results demonstrate that, between 2013 and 2021, the digital economy of all provinces exhibited varying degrees of growth, yet the development of the digital economy between provinces exhibited a more pronounced tendency to diverge. Concurrently, the agricultural carbon emission efficiency in China exhibited a fluctuating upward trend. The development of the digital economy and the efficiency of agricultural carbon emission were found to be highly coupled. Their coupling and coordination relationship showed a downward trend followed by an upward trend. In general, it is suggested that we should increase investment in digital economy infrastructure and technology, promote digital agricultural applications, strengthen policy guidance and financial support, establish a coupling coordination mechanism and strengthen farmers' digital literacy and environmental awareness. [ABSTRACT FROM AUTHOR]

Object detection plays a crucial role in autonomous driving assistance systems. It requires high accuracy for prediction, a small size for deployment on mobile devices, and real-time inference speed to ensure safety. In this paper, we present a compact and efficient algorithm called YOLOX with United Attention Head (UAH-YOLOX) for detection in autonomous driving scenarios. By replacing the backbone network with GhostNet for feature extraction, the model reduces the number of parameters and computational complexity. By adding a united attention head before the YOLO head, the model effectively detects the scale, position, and contour features of targets. In particular, an attention module called Spatial Self-Attention is designed to extract spatial location information, demonstrating great potential in detection. In our network, the IOU Loss (Intersection of Union) has been replaced with CIOU Loss (Complete Intersection of Union). Further experiments demonstrate the effectiveness of our proposed methods on the BDD100k dataset and the Caltech Pedestrian dataset. UAH-YOLOX achieves state-of-the-art results by improving the detection accuracy of the BDD100k dataset by 1.70% and increasing processing speed by 3.37 frames per second (FPS). Visualization provides specific examples in various scenarios. [ABSTRACT FROM AUTHOR]

This study constructed a multidimensional indicator system to evaluate spatio-temporal heterogeneity of China's import and export trade of 31 provinces from 2000 to 2022. This study describes the distribution of China's import and export trade by using location Gini coefficient and exploratory spatial analysis. Additionally, Multiple linear regression was used to ascertain the extent of contribution by various factors on the spatio-temporal heterogeneity of import and export trade. The simulation results show that inter-provincial import and export trade displayed distinct spatio-temporal differentiation characteristics with a prominent east-to-west disparity from 2000 to 2022. The trade links between various regions of the country have gradually strengthened, with a corresponding high correlation to the level of economic development. GDP, financial expenditure, freight transportation volume, technology market turnover, foreign investment, and disposable income of all residents, significantly influence the per capita export and import volume. In general, it is suggested that China and developing countries should take effective measures to promote balanced trade development, strengthen regional cooperation and coordination, and promote green trade and sustainable development. [ABSTRACT FROM AUTHOR]

Transdermal drug delivery systems are rapidly gaining prominence and have found widespread application in the treatment of numerous diseases. However, they encounter the challenge of a low transdermal absorption rate. Microneedles can overcome the stratum corneum barrier to enhance the transdermal absorption rate. Among various types of microneedles, nanoparticle-loaded dissolving microneedles (DMNs) present a unique combination of advantages, leveraging the strengths of DMNs (high payload, good mechanical properties, and easy fabrication) and nanocarriers (satisfactory solubilization capacity and a controlled release profile). Consequently, they hold considerable clinical application potential in the precision medicine era. Despite this promise, no nanoparticle-loaded DMN products have been approved thus far. The lack of understanding regarding their in vivo fate represents a critical bottleneck impeding the clinical translation of relevant products. This review aims to elucidate the current research status of the in vivo fate of nanoparticle-loaded DMNs and elaborate the necessity to investigate the in vivo fate of nanoparticle-loaded DMNs from diverse aspects. Furthermore, it offers insights into potential entry points for research into the in vivo fate of nanoparticle-loaded DMNs, aiming to foster further advancements in this field. [ABSTRACT FROM AUTHOR]

Cereal–legume intercropping has the potential to reduce the use of nitrogen (N) fertilizer and increase forage yield and quality, however, how to optimize system design to fully realize interspecific complementary and enhance crop production in an annual and perennial crops intercropping was not well understood. This study was conducted to evaluate the interspecific interaction and yield performance of silage maize (Zea mays L.) and alfalfa (Medicago sativa L.) intercropping in response to N management and row arrangement under the rain‐fed conditions on the Chinese Loess Plateau. Five planting arrangements, namely, sole maize, sole alfalfa, and maize and alfalfa intercropping in rows of 1:2 (I12), 2:2 (I22), and 2:4 (I24), were compared over a period of 4 years (2018–2021). Two N‐levels (150 and 90 kg N ha−1) were applied to maize in each planting arrangement. Our results show that maize was the dominant species in 2018. In the next 3 years (2019–2021), maize was outcompeted by alfalfa during the first and second cuts of alfalfa, and complete recovery growth of maize was recorded at the third cut. The interspecific competition of I24 was less severe, resulting in a higher yield than I12 and I22. Although the reduction of N application reduced the biomass and crude protein (CP) yield, it weakened the interspecific competition and substantially increased the land equivalent ratio (LER). I24 under low N yielded more than sole cropping, with the LER based on biomass and CP yield of 1.01–1.12 and 1.08–1.18, respectively. In addition, I24 had the highest net revenue of 24,251 ¥ ha−1 on average. Therefore, maize/alfalfa intercrop with a higher alfalfa proportion and a wide strip arrangement (I24) in combination with low N application could alleviate interspecific competition and improve forage production, which is suggested for our study region and similar dryland farming areas worldwide. Maize/alfalfa intercropping provides a basis for grain and livestock mixed farming and helps to improve food supply and resilience of the farming system. [ABSTRACT FROM AUTHOR]