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Targeting a cysteine proteinase inhibitor and a defensin-like protein in Litchi chinensis seed development leveraging endosperm single-nucleus transcriptome.

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Key Laboratory of Biology and Genetic Improvement of Horticultural Crops-South China/Guangdong Litchi Engineering Research Center, College of Horticulture, South China Agricultural University, Guangzhou, China. Electronic address:

Seed development is one of the most important agricultural traits, determining both the crop yield and quality of fleshy fruits. A typically abortive litchi cultivar, Guiwei, exhibits heterogeneity in seed size across production areas, years, and individual trees. Previous studies have shown that 'Guiwei' seed development failure is associated with endosperm arrest and chilling conditions.

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Background: Deep learning (DL) has set new standards in cancer diagnosis, significantly enhancing the accuracy of automated classification of whole slide images (WSIs) derived from biopsied tissue samples. To enable DL models to process these large images, WSIs are typically divided into thousands of smaller tiles, each containing 10-50 cells. Multiple Instance Learning (MIL) is a commonly used approach, where WSIs are treated as bags comprising numerous tiles (instances) and only bag-level labels are provided during training.

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Agroforestry systems are multifunctional land-use systems that promote soil life. Despite their large potential spatio-temporal complexity, the majority of studies that investigated soil organisms in temperate cropland agroforestry systems focused on rather non-complex systems. Here, we investigated the topsoil and subsoil microbiome of two complex and innovative alley cropping systems: an agrosilvopastoral system combining poplar trees, crops, and livestock and a syntropic agroforestry system combining 35 tree and shrub species with forage crops.

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PLECO Plants and Ecosystems Research Group, Department of Biology, University of Antwerp, Wilrijk, Belgium.

In the temperate zone, deciduous trees exhibit clear above-ground seasonality, marked by a halt in wood growth that represents the completion of wood formation in autumn and reactivation in spring. However, the growth seasonality of below-ground woody organs, such as coarse roots, has been largely overlooked. Here we use tree monitoring data and pot experiments involving saplings to examine the late-season xylem development of stem and coarse roots with leaf phenology in four common deciduous tree species in Western Europe.

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On the infodynamics of ramifications in constructal design.

Biosystems

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University of Coimbra, ADAI, LAETA, Polo II, Rua Luis Reis Santos, Coimbra, 3030-788, Portugal. Electronic address:

Infodynamics is the study of how information behaves and changes within a system during its development. This study investigates the insights that informational analysis can provide regarding the ramifications predicted by constructal design. First, infodynamic neologisms informature, defined as a measure of the amount of information in indeterminate physical systems, and infotropy - contextualized informature representing the degree of transformation of indeterminate physical systems - are introduced.

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