Huanghuai University

We investigated the mediating effects of self-control and attachment in the relationship between parenting style and aggressive behavior among Chinese adolescents. A total of 617 adolescents from Jiangsu, Henan and Hunan provinces completed Parenting Style Scale、 Aggressive Behavior Scale、 Self-Control Scale and Attachment Sale. The results were follows: (1) There were significant correlations between parenting style, aggressive behavior, self-control, and attachment. (2) Both self-control and attachment mediated the relationship between positive parenting style and aggressive behavior. (3) Self-control and attachment played a significant chain mediating role in the relationship between positive parenting style and aggressive behavior. Thus both parents' positive and negative parenting styles can directly associate adolescents' aggressive behavior. In addition, parents' positive parenting style can also indirectly associate adolescents' aggressive behavior through the separate mediating and the chain mediating roles of self-control and attachment.

Aging is a complex biological process that heightens susceptibility to age-related diseases, often driven by declining mitochondrial function. Mitophagy, the selective removal of damaged mitochondria, is a key quality-control mechanism essential for maintaining cellular health, and its decline has been closely linked to aging. However, the specific role of mitophagy in cellular senescence, a hallmark of aging, remains insufficiently understood, largely due to the lack of methods to manipulate mitophagy. In this study, we used UMI-77, a new potent mitophagy activator, to evaluate its effects on senescence in mouse mesenchymal stem cells (MSC). Our results show that UMI-77 preserves mitochondrial integrity and effectively delays cellular senescence through mitophagy. Mechanistically, UMI-77 markedly suppressed the senescence-associated secretory phenotype (SASP). Together, our findings reveal a new antiaging therapeutic application for UMI-77 by targeting senescence-associated chronic inflammation through mitophagy induction and SASP reduction.

Traditional deep-sea equipment primarily relies on batteries or surface-laid cables for power, which imposes substantial constraints on mission economic viability and entails high maintenance costs. Inspired by the highly efficient filtering and capture mechanism of the deep-sea feather duster worm, this research developed a novel bionic composite material that integrates efficient particle capture with triboelectric nanogenerator (TENG) functionality. By analyzing the fluid-structure interaction mechanics of the multi-level structure of the feather duster worm's crown tentacles and combining it with the solid-liquid interface contact electrification mechanism, an innovative multi-scale fractal-structured bionic fiber network was designed. Flexible composite fibers consisting of polymer and conductive materials were fabricated using coaxial electrospinning micro-nano assembly technology. For functional validation, a simulated deep-sea environment featuring low temperature, high pressure, and low flow velocity was constructed. Experimental results indicate that under simulated deep-sea flow conditions of 3-5 cm/s, the bionic material achieved a stable capture efficiency of approximately 85% for standard 5 m particles. The triboelectric power generation unit produced an open-circuit voltage of about 3.2 V and a short-circuit current of approximately 0.55 A, delivering an estimated power density of 1.7 mWm, which is sufficient to power micro-sensors.

This study presents an efficient Monte Carlo simulation method to solve multivariate uncertainty problems in structural dynamic systems. The full model is obtained by the adaptive time-step material point method, and the multivariate surrogate model is built and analyzed for uncertainty by the adaptive sparse polynomial chaos expansion. The cubic spline interpolation method serves as a bridge between the original full model and the multivariate surrogate model, which improves the sampling efficiency of Monte Carlo simulation. Numerical results show that the proposed algorithm can significantly improve the efficiency and accuracy of uncertainty analysis.

Biomimetic pectoral fin propulsion offers a low-noise, highly maneuverable alternative to conventional propellers for next-generation underwater robotic systems. This study develops a manta ray-inspired dual-servo pectoral fin module with a CPG-based controller and employs it as a single-fin test article in a recirculating water tunnel to quantify its hydrodynamic performance. Controlled experiments demonstrate that the fin generates stable thrust over a range of flapping amplitudes, with mean thrust increasing markedly as the amplitude rises, while also revealing an optimal frequency band in which thrust and thrust work are maximized and beyond which efficiency saturates. To interpret these trends, a quasi-steady CFD analysis using the k–ω SST turbulence model is conducted for a series of static angles of attack representative of the instantaneous effective angles experienced during flapping. The simulations show a transition from attached flow with favorable lift-to-drag ratios at moderate angles of attack to massive separation, deep stall, and high drag at extreme angles, corresponding to high-amplitude fin motion. By linking the experimentally observed thrust saturation to the onset of deep stall in the numerical flow fields, this work establishes a unified experimental–numerical framework that clarifies the hydrodynamic limits of pectoral fin propulsion and provides guidance for the design and operation of low-noise, highly maneuverable biomimetic underwater robots.