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Correction: Galactin-8 DNA methylation mediates macrophage autophagy through the MAPK/mTOR pathway to alleviate atherosclerosis
Advanced Love wave sensor based on algal polymers for the detection of mercury in French Guiana waters
Longitudinal MRI study over 20 years of cervical posterior extensor muscle area in asymptomatic subjects
Abstract Few studies have investigated long-term changes in the posterior extensor muscles of the cervical spine in healthy subjects. Therefore, we used MRI to investigate changes in the posterior extensor muscles in healthy subjects over 20 years. The subjects of this study were 55 volunteers with an average follow-up period of approximately 20 years. The axial images of the C3/4, C4/5, and C5/6 levels from the initial scan and scans taken 20 years later were evaluated and compared for the following: the cross-sectional areas (CSAs) of the multifidus, semispinalis cervices, semispinalis capitis, and splenius capitis muscles, along with left–right differences, gender differences, influence of age, and muscle fatty degeneration of each muscle. The mean CSAs of the posterior extensor muscles significantly increased at C3/4 and significantly decreased at C5/6 over 20 years. The CSA of posterior cervical extensor muscles always tended to be greater on the left side than on the right side and was significantly larger in men than in women at all levels. The fatty degeneration increased significantly at all intervertebral levels. The decrease in the CSA was significantly associated with smoking status (relative risk: 2.19, 95% confidence interval: 1.32–3.63, p < 0.01), but not with clinical symptoms.
Association between advanced lung cancer inflammation index and all-cause mortality in critically ill patients with sepsis: analysis of the MIMIC-IV database
Research on solving the equilibrium point of 5DOF vehicle dynamics system based on homotopy method
Clinical, paraclinical, therapeutic features of acute decompensated heart failure in a Moroccan population
Efficient design of automated guided vehicle systems in operating theatres via discrete events simulation
Brain functional connectivity after Stroop task induced cognitive fatigue
LAMC3 interference reduces drug resistance of carboplatin-resistant ovarian cancer cells
Effectiveness of nutrition literacy intervention on pregnancy weight and eating behavior: a randomized controlled trial
A gain-reconfigurable flat gradient refractive index plasma lens
Analysis of molecular and cellular bases of honey bee mushroom body development
Abstract In the honey bee, mushroom bodies (MBs), a higher-order center of the insect brain, comprise three class I Kenyon cell (KC) subtypes (lKC, mKC, and sKC) with distinct somata sizes and locations and gene expression profiles. While these KC subtypes have been suggested to function in different behavioral regulations, the molecular and cellular basis of their development remains obscure. Here, we showed that lKCs, mKCs, and sKCs are produced in that order at different pupal stages by labeling proliferating MB cells with 5-ethynil-2’-deoxyuridine at various pupal stages. RNA-sequencing analysis of FACS-sorted pupal MB cells identified genes that were upregulated in proliferating and non-proliferating MB cells, respectively. Furthermore, in situ hybridization of some of these genes labeled the proliferating cells or immature KCs in the MBs at pupal stages producing each subtype. We found that the expression patterns of SoxNeuro , optix , and asense were consistent with those in Drosophila MBs, while odd-paired , which functions in neuroblasts in Drosophila , was preferentially expressed in immature KCs in honey bees. Our findings revealed the basic scheme of the molecular and cellular processes of honey bee MB development and suggested that they are at least partially different from those of Drosophila MB development.
A new bacteriolytic amidase Ami of Lysobacter capsici XL1
Abstract One of the most pressing issues in modern biomedicine is the search for new antimicrobial agents – antibiotics, peptides, bacteriolytic enzymes. This study, using transcriptomic and proteomic approaches, identified a new extracellular bacteriolytic enzyme of Lysobacter capsici XL1 – the amidase Ami. The enzyme was isolated and characterized. Ami was found to hydrolyze the amide bond between the carbohydrate and peptide fragments in bacterial peptidoglycans of chemotypes A1γ, A3α, and A4α. Ami lysed live target cells of opportunistic bacteria Micrococcus luteus Ac-2230T, Bacillus cereus 217, Staphylococcus aureus 209P, Enterococcus faecium FS86, phytopathogenic bacteria Bacillus megaterium MS941, Curtobacterium flaccumfaciens pv. flaccumfaciens, and pathogenic bacteria of various strains of B. anthracis, including plasmid strains 71/12 and ΔAmes, as well as strains of B. cereus with hemolytic, lecithinase, and phosphatase activities. Thus, the bacteriolytic amidase Ami is a promising candidate for the development of next-generation antimicrobial drugs.
Associations of acute stress disorder and depression with coping self-efficacy and perceived social support in healthcare workers during COVID-19
Isolation and identification of Alcaligenes faecalis W2-3 with high-yield production of dimethyl disulfide
Multi-model statistical approaches for assessing the stability of Cicer interspecific derivatives in the trans and upper gangetic regions of India
Role of plate convergence rate in shaping earthquake recurrence in subduction zones
Abstract Understanding the complex interplay of subduction zone processes is key to unravelling the timing and distribution of great earthquake cycles within the framework of the plate tectonics paradigm. Megathrust earthquakes, though extensively investigated and their quasi-repetitive nature well recognised, remain challenging to assess globally due to their long recurrence intervals and limited historical data. Slow earthquakes in the brittle-to-ductile transition zone interact dynamically with megathrust events, but their potential to trigger or delay large earthquakes remains unclear. The periodic nature of slow earthquakes (typically recurring over timescales of months to years) has enabled detailed seismic and geodetic catalogs, offering new insights into subduction zone dynamics. Here, we adopt a tripartite approach, integrating natural observations, numerical simulations, and laboratory experiments to investigate relationship between megathrust and slow earthquakes in subduction zones. Analysis of tremor catalogs of Cascadia and Nankai subduction zones, reveal a systematic logarithmic inverse relationship between recurrence intervals (Tr) and plate convergence rates (VL), with downdip tremor patches exhibiting shorter recurrence times than updip segments. Quasidynamic rate-and-state friction (RSF) simulations, calibrated against geodetic displacements, demonstrate that this periodicity arises from frictional healing modulated by VL (Tr ∞ -VL ). Laboratory stick-slip experiments validate this scaling, showing force drop and recurrence times decrease logarithmically with increasing loading velocity, consistent with natural and numerical observations. Crucially, the logarithmic dependency persists across tectonic (months–years), numerical (stick-slip cycles), and laboratory (seconds–minutes) scales, resolving ambiguities in scaling fault mechanics from lab to tectonic regimes. We propose that SSEs in the brittle-ductile transition zone episodically transfer stress to adjacent locked megathrust segments, acting as real-time ‘stress-meters’ for seismogenic zone dynamics. This framework bridges geophysical monitoring, Rate and State Friction theory, and experimental fault mechanics, offering a predictive tool to infer stress accumulation on megathrusts. By linking slow earthquake periodicity to plate kinematics, our findings advance a unified paradigm for earthquake cycle dynamics, directly informing probabilistic hazard models and mitigation strategies in subduction zones. The integration of multi-scale constraints underscores the potential of tremor networks to monitor stress evolution, enhancing our capacity to identify regions at risk of large seismic events.