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Insights into the formation mechanism and motion dynamics of the Hongtupo Landslide, Wudu District, China
Long-term selection for extended lifespan reshapes host physiology and gut microbiome structure in an insect model
Abstract Longevity results from complex interactions between genetic, physiological, and environmental factors, however, the contribution of the gut microbiome to lifespan evolution is still poorly understood, especially in insects. In the present study, we tested whether long-term selection for delayed reproduction and extended lifespan can be associated with restructuring of the gut microbiome in the house cricket ( Acheta domesticus ). We compared a wild-type strain with a long-lived strain – selected for more than 20 years (64 generations) – maintained under the same laboratory conditions. The long-lived strain showed a significantly longer lifespan and larger body size. At the same time, no reduction in food intake or energy assimilation, no disturbance of antioxidant capacity, and no increased DNA damage were observed. These results support the supposition that lifespan extension was not primarily driven by metabolic suppression. Microbiome analyses showed strain-specific differences in community structure. Although overall microbial richness remained unchanged, the taxonomic analysis revealed two alternative microbial configurations: one characterized by higher relative abundance of Firmicutes and Bacteroidota in the wild-type strain and another enriched in Gammaproteobacteria and lactic acid bacteria in the long-lived strain. Our findings demonstrate that long-term selection can be associated with the emergence of strain-specific gut microbiome configurations. These differences may represent components of the longevity-associated phenotype, although their causal relationship with lifespan extension remains unresolved. Our results highlight the potential importance of gut microbiome variation during long-term life-history evolution in insects.
Impedance reshaping control of LCL grid-connected inverters under weak grid conditions: digital delay compensation and robustness enhancement
Abstract Under weak grid scenarios, wide variations of grid impedance distort resonance characteristics of LCL-type grid-connected inverters. Digital control delays introduce phase lag, which easily causes damping polarity reversal in conventional capacitor-current-feedback active damping strategies. From the perspective of impedance stability, this paper reveals that control delays produce frequency-dependent resistive components in equivalent damping impedance. The analytical boundary of positive–negative resistance transition is derived, which dominates the weak-grid adaptability of inverters. Accordingly, an impedance reshaping strategy based on phase-lead delay compensation is proposed. Embedded in the feedback loop, the phase-lead network extends the valid positive-resistance frequency region and decouples the inherent coupling between LCL resonance frequency and sampling frequency. The critical frequency is lifted from $$\frac{{f}_\mathrm{s}}{6}$$ to above $$\frac{{f}_\mathrm{s}}{4}$$ , and the system maintains a stability margin over 45° within 0–10 mH grid inductance range. A quasi-proportional-resonant cascaded current regulator is further designed to suppress background harmonic interference. Simulation and experimental tests on a 5 kW prototype verify the superior performance. When grid inductance steps from 0 to 8 mH, grid-connected current THD remains below 2.8%, and transient response completes within two fundamental cycles. This study provides theoretical guidance and practical solution for stable grid integration of high-penetration renewable energy systems.
Mg2+ modulates H3K27me3 demethylation via KDM6A to regulate myoblast differentiation and osteoclast crosstalk
Improving medical image segmentation in pre-trained U-Nets using Shapley-guided pruning of adaptive skip-connection modules
Coseismic turbulence-like flow of fault material along the shallow portion of a plate-subduction-related fault
Study on the adoption intention of the cognitive impairment screening mini program based on TAM and TPB models
An integrated framework of TOE, RBV, and institutional theory for understanding blockchain adoption in Egyptian public hospitals
Abstract Blockchain has gained attention for its potential to verify health insurance records, allow secure data sharing, and protect patient privacy. Despite these benefits, blockchain adoption in Egypt remains limited, and little research has examined its drivers and barriers. This study contributes to the limited research on blockchain adoption in Egyptian public hospitals by extending the TOE model with context-specific factors and examining adoption decisions at the organizational level. The study was conducted in public hospitals operating within the Universal Health Insurance System (UHIS) across six governorates. A quantitative approach was used, with data collected from a stratified random sample of 228 senior management and IT professionals across 53 public hospitals, analyzed using PLS-SEM. The results show that relative advantage, financial capability, and perceived trust positively affect adoption intention, whereas perceived risk and complexity negatively affect it. Security and privacy, as well as government support and regulations, significantly enhance perceived trust but do not directly affect adoption intention. Top management support and hospital readiness also strengthen perceived trust. The model explains 67.1% of the variance in blockchain adoption intention (R 2 = 0.671) and shows predictive relevance (Q 2 = 0.662). Perceived trust positively influences adoption intention and mediates selected relationships in the model, particularly for security and privacy, as well as government support and regulations, which indirectly influence adoption through trust. The proposed model provides practical insights for Egyptian public hospitals, blockchain providers, the Ministry of Health, and policymakers in designing strategies that may facilitate blockchain adoption in public hospitals in Egypt.
A three-tier stackelberg game-based hierarchical optimization framework for integrated electric vehicle battery swapping and charging systems
A risk-informed multicriteria framework for ocean current energy site selection for Small Island Developing States
Explaining social determinants of health in Iran: a qualitative exploration of challenges and strategies
Satellite-based analysis of precipitation across algeria’s hydrographic watersheds (1983–2022) and their relationship with climate indices
Barley genetics elucidate the genetic architecture of cold-induced late maturity α-amylase for wheat improvement
Abstract Late maturity α-amylase (LMA) poses severe quality and economic threats to cereal crops by degrading grain quality through cold-induced alpha-amylase synthesis. Despite its economic impact, the genetic mechanism of cold-induced LMA remains poorly understood, particularly in hexaploid wheat due to its large, redundant genome. To overcome these limitations, we used barley as a diploid model to dissect the genetic architecture of cold-induced LMA. A genome-wide association study (GWAS) was conducted on 352 accessions from the mini–world barley core collection grown under controlled normal and cold-stressed conditions. This analysis identified eight significant and 20 suggestive SNPs. Multi-model GWAS (BLINK, FarmCPU, MLMM), haplotype, and allele-specific analyses revealed cold-responsive hotspots on chromosomes 3H and 5H, the latter colocalizing with the frost tolerance locus Fr-H2 . SNP-to-gene mapping prioritized candidates involved in hormonal crosstalk (ABA/GA/JA, TIFY3, SnRK kinases), redox regulation (APX4, GST), and sugar transport (SWEET4), implicating pathways known to influence α-amylase induction and stress responses. In addition, orthology analysis linked barley loci to known wheat LMA QTL ( QLMA.agt-5B ) and stress-responsive genes ( TaCBFIVd , TaTIFY3B ). These findings demonstrate the value of barley as a cross-species model and provide a framework for improving grain quality in cereals.