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The aim of the paper is to consider the asymptotic dynamics of weak solutions for 2D MHD equations with delay terms on unbounded domains. First, we propose some appropriate assumptions of the delay terms and establish the existence and uniqueness of weak solutions. Then, the process U ( ⋅ , ⋅ ) generated by the weak solutions is constructed. Finally, using the energy method and Arzelà–Ascoli theorem, we can establish the compactness of the process; furthermore, we prove the existence of a compact pullback attractor for the system.

The existence of pullback attractors is proved for the MHD equations with damping terms |u|α-1u and |B|β-1B (α,β⩾1) on a bounded domain Ω⊂R3 . Based on the well-posedness of the strong solution in Song and Xiong (J Math Anal Appl 505(2):36, 2022) and under suitable assumptions on the external force, first, we establish some estimates for the strong solution. Then, the continuity of the corresponding process is verified under the assumption α,β<5 , which is guided by Gagliardo–Nirenberg inequality. Finally, the system is shown to possess an (V,V) -pullback attractor and an (V,H2) -pullback attractor.

Histidine phosphotransfer proteins (HPs) are key elements of the two-component signaling system, which act as a shuttle to transfer phosphorylation signals from histidine kinases (HKs) to response regulators (RRs). CYTOKININ INDEPENDENT 1 (CKI1), a key regulator of central cell specification in the Arabidopsis female gametophyte, activates the cytokinin signaling pathway through the Arabidopsis histidine phosphotransfer proteins (AHPs). There are five HP genes in Arabidopsis, AHP1–AHP5, but it remains unknown which AHP genes act downstream of CKI1 in Arabidopsis female gametophyte development. Promoter activity analysis of AHP1–AHP5 in embryo sacs revealed AHP1, AHP2, AHP3, and AHP5 expression in the central cell. Phenotypic studies of various combinations of ahp mutants showed that triple mutations in AHP2, AHP3, and AHP5 resulted in defective embryo sac development. Using cell-specific single and double markers in the female gametophyte, the ahp2-2 ahp3 ahp5-2/+ triple mutant ovules showed loss of central cell and antipodal cell fates and gain of egg cell or synergid cell attributes, resembling the cki1 mutant phenotypes. These data suggest that AHP2, AHP3, and AHP5 are the major factors acting downstream of CKI1 in the two-component cytokinin signaling pathway to promote Arabidopsis female gametophyte development.

Frequent strain degeneration during subcultivation, characterized by impaired sporulation and fruiting body formation, represents a major constraint in fungal agricultural production. Our study systematically investigated two naturally degenerated Lentinula edodes strains classified as abortive (Abt: L808-13, L808-14) and malformed (Abn: L808-18) fruiting-body phenotypes, through comprehensive phenotypic characterization, enzymatic profiling, thermotolerance assessment, and transcriptomic analysis. While vegetative growth remained unaffected, degenerated strains exhibited premature hyphal knotting, significantly reduced thermotolerance, and Abn-specific suppression of carboxymethyl cellulase (CMCase) activity. Comparative transcriptomics revealed 1239 and 582 differentially expressed genes (DEGs) in Abt and Abn groups, respectively, accompanied by a global dysregulation in carbohydrate catabolism, phospholipid metabolism, and redox homeostasis. Furthermore, protein–protein interaction (PPI) networks and RT-qPCR data highlighted 12 core hub genes enriched in glycoside hydrolysis, cytochrome P450 signaling, and membrane lipid dynamics. These findings provide mechanistic insights into the molecular basis of fruiting body degeneration and establish a foundation for developing diagnostic indicators to screen for early-stage degeneration in industrial mushroom production.

Ex-ante online risk assessment for building emergency evacuation is essential to protect human life and property. Current risk assessment methods are limited by the tradeoff between accuracy and efficiency. In this paper, we propose an online method that overcomes this tradeoff based on multimedia data (e.g. videos data from surveillance cameras) and deep learning. The method consists of two parts. The first estimates the evacuee position as input for training the assessment model to then perform risk assessment in real scenarios. The second considers a social force model based on the evacuation simulation for the output of training model. We verify the proposed method in simulation and real scenarios. Model sensitivity analyses and large-scale tests demonstrate the usability and superiority of the proposed method. By the method, the computation time of risk assessment could be decreased from 10 minutes (by traditional simulation method) to 2.18 s.

In the present paper, we consider the well-posedness of 3D MHD equations with the damping terms | u | α - 1 u and | B | β - 1 B ( α , β ≥ 1 ) defined on time-varying domains with homogeneous Dirichlet boundary conditions. We show that the damped 3D MHD system has global weak solutions for any 1 ≤ α , β ≤ 5 and the weak solution is unique for any 4 ≤ α , β ≤ 5 .

Hericium erinaceus has long been favored for its remarkable nutritional and health-promoting benefits, and erinacine A is the key component responsible for the neuroprotective properties of H. erinaceus. Establishing an efficient method for separating erinacine A from H. erinaceus and screening the erinacine A-enriched strains is crucial to maximizing its benefits. Herein, we first reported that high-speed counter current chromatography (HSCCC) is an effective method for separating high-purity erinacine A. Using a two-phase solvent system composed of n-hexane/ethyl acetate/methanol/water (4.5:5:4.5:5, v/v/v/v), erinacine A with a purity of over 95% was separated. Then, we evaluated the content and yield of erinacine A in the liquid-fermented mycelia of Hericium germplasms. Both the content and yield of erinacine A varied greatly among the surveyed strains. The significant effect of the strain on the erinacine A content and yield was revealed by an analysis of variance. The highest erinacine A content and yield were observed in the mycelia of a wild strain HeG, reaching 42.16 mg/g and 358.78 mg/L, which is superior to the current highest outcomes achieved using submerged cultivation. The isolation method established and the strains screened in this study can be beneficial for the scaling up of erinacine A extraction and nutraceutical development to industrial levels.

Urban sustainable renewal has received extensive attention in a wide range of fields, including urban planning, urban management, energy management, and transportation. Given that environmental resource conservation is critical to urban sustainability renewal, this study highlighted the imbalance among green space, urban development, and transportation accessibility. Here, a novel node-place-green model is presented to measure sustainable urban development; meanwhile, deep learning is utilized to identify and extract the green space to measure the environmental index. Based on the generated node, place, and green value, urban developing status could be classified into nine modes for further analysis of transportation, urban function, and ecological construction. The experimental results of Harbin reveal the feasibility of the proposed method in providing specific guidelines for urban planning and policies on sustainable development.

A defining feature of angiosperms is double fertilization involving the female gametophyte central cell and formation of a nutrient-storing tissue called endosperm. The route for the evolutionary origin of endosperm from a gymnosperm ancestor, particularly the molecular steps involved, has remained elusive. Recently, the histidine kinase gene Cytokinin-Independent 1 (CKI1), an activator of cytokinin signaling, was described as a key to specification of the endosperm precursor central cell in Arabidopsis. Here, we have investigated the function and expression of a putative ortholog of CKI1 in the gymnosperm Ginkgo biloba. We demonstrate that Ginkgo CKI1 can partially rescue an Arabidopsis cki1 mutant and promote weak activation of the cytokinin signaling pathway in the Arabidopsis embryo sac, but does not confer central cell specification. Ginkgo CKI1 is expressed in both male and female gametophytes of Ginkgo. In the latter, it is expressed in the ventral canal cell, which is sister to the egg cell in the archegonium. As in Arabidopsis, Ginkgo CKI1 is not expressed in the egg cell. The similarities in expression patterns of CKI1 in Ginkgo and Arabidopsis female gametophytes suggest that extant gymnosperms possess an essential component of the molecular machinery required for angiosperm endosperm development, and provide new insights into endosperm origin from a gymnospermous ancestor.

Applying deep-learning methods, especially fully convolutional networks (FCNs), has become a popular option for land-cover classification or segmentation in remote sensing. Compared with traditional solutions, these approaches have shown promising generalization capabilities and precision levels in various datasets of different scales, resolutions, and imaging conditions. To achieve superior performance, a lot of research has focused on constructing more complex or deeper networks. However, using an ensemble of different fully convolutional models to achieve better generalization and to prevent overfitting has long been ignored. In this research, we design four stacked fully convolutional networks (SFCNs), and a feature alignment framework for multi-label land-cover segmentation. The proposed feature alignment framework introduces an alignment loss of features extracted from basic models to balance their similarity and variety. Experiments on a very high resolution(VHR) image dataset with six categories of land-covers indicates that the proposed SFCNs can gain better performance when compared to existing deep learning methods. In the 2nd variant of SFCN, the optimal feature alignment gains increments of 4.2% (0.772 vs. 0.741), 6.8% (0.629 vs. 0.589), and 5.5% (0.727 vs. 0.689) for its f1-score, jaccard index, and kappa coefficient, respectively.