Publications by authors named "Mingzhen Lu"

Plant roots show extraordinary diversity in form and function in heterogeneous environments. Mounting evidence has shown global bi-dimensionality in root traits, the root economics spectrum (RES), and an orthogonal dimension describing mycorrhizal collaboration; however, the origin of the bi-dimensionality remains unresolved. Here, we propose that bi-dimensionality arises from the cylindrical geometry of roots, allometry between root cortex and stele, and independence between root cell wall thickness and cell number.

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Ligands play a critical role in promoting transition-metal-catalyzed C-H activation reactions. However, owing to high sensitivity of the reactivity of C-H activation to metal catalysts, the development of effective ligands has been a formidable challenge in the field. Rh(I)-catalyzed C-H cyclization of benzimidazoles with alkenes has been faced with low reactivity, often requiring very harsh conditions.

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Article Synopsis
  • Recent research suggests that plant root traits significantly influence the boundaries and communities of biomes, particularly in South Africa's Fynbos and Afrotemperate Forest regions.
  • The study examined two primary hypotheses: one, that plants with thin roots prevail in nutrient-poor environments; and two, that these traits, combined with fire, help maintain the distinct separation between the two biomes.
  • Key findings indicated that Fynbos plants have the thinnest roots globally and that intense competition for nitrogen, rather than phosphorus, plays a critical role in preventing Forest species from establishing in Fynbos, revealing a complex interaction between plant traits and resource availability in shaping biome boundaries.
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Obstructive sleep apnea (OSA) is a common disorder which may need to be treated by the upper respiratory tract (URT) surgery. To increase the success rate of the URT surgery, it is crucial to understand the flow features in the URT models. In this work, the turbulent flow characteristics in four 3D anatomically accurate URT models reconstructed from two OSA subjects with successful and failed surgery are numerically studied by the large-eddy simulation (LES) and unsteady Reynolds-averaged Navier-Stokes (RANS).

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Stem xylem-specific hydraulic conductivity (K ) represents the potential for plant water transport normalized by xylem cross section, length, and driving force. Variation in K has implications for plant transpiration and photosynthesis, growth and survival, and also the geographic distribution of species. Clarifying the global-scale patterns of K and its major drivers is needed to achieve a better understanding of how plants adapt to different environmental conditions, particularly under climate change scenarios.

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We thank reader Joseph Craine for pointing out three inadvertent errors in this Letter. First, 4 of the 71 divergence dates extracted from ref. of this Amendment and used in Fig.

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One of the most distinct but unresolved global patterns is the apparent variation in plant-symbiont nutrient strategies across biomes. This pattern is central to our understanding of plant-soil-nutrient feedbacks in the land biosphere, which, in turn, are essential for our ability to predict the future dynamics of the Earth system. Here, we present an evolution-based trait-modelling approach for resolving (1) the organization of plant-symbiont relationships across biomes worldwide and (2) the emergent consequences for plant community composition and land biogeochemical cycles.

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An atomic force microscopy (AFM) scanning head is designed with the probe orthogonal scanning mode for metrological AFM to eliminate the curvature distortion. The AFM probe is driven by piezostage and the scanning trajectory of the probe in 3 directions are orthogonal to reduce the cross coupling. A new optical lever amplification optical path is developed to eliminate the coupling error.

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Plant roots have greatly diversified in form and function since the emergence of the first land plants, but the global organization of functional traits in roots remains poorly understood. Here we analyse a global dataset of 10 functionally important root traits in metabolically active first-order roots, collected from 369 species distributed across the natural plant communities of 7 biomes. Our results identify a high degree of organization of root traits across species and biomes, and reveal a pattern that differs from expectations based on previous studies of leaf traits.

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