Search Results (1,707)

Examining the dyadic effects of parental depression on parenting behaviors is important for understanding the dynamic impact of a family member’s negative emotions on parenting and family-based interventions. To clarify the interpersonal processes between parental depression and parenting within families, this study aimed to investigate the mutual influence of parental depression and parenting (warmth–reasoning and harshness–hostility) in one large sample of adolescent twins and their parents. A sample of 1387 Chinese families with adolescent twins was used. The actor–partner interdependence model (APIM) was used to examine the mutual influences. By examining the dyadic patterns with APIM, we found that depressive symptoms in mothers or fathers significantly influence their own and their partner’s parenting behaviors. The model comparisons found no significant difference in the partner effect between maternal and paternal depression. In the Chinese family system, depression in one parent influences not only their own parenting but also their partner’s parenting. Full article

Cable-driven parallel robots (CDPRs) are increasingly favored in rehabilitation, medical devices, and material transportation due to their flexible structure and large transmission distance. The CDPRs with a highly modular and flexible structure are usually easy to be quickly reorganized. It is important to study the dimension and shape optimization of the basis and moving platforms for rapidly reconstructing a high-performance CDPR. The influence of each parameter of CDPRs’ dimension and shape on performance is mutually coupled. Therefore, obtaining the global optimal result by simply superimposing each optimum parameter is usually difficult. To this end, the concepts of a constant stiffness space (CSS) and a cable-tension-constrained workspace (CTCW) and their calculation methods are introduced, and the CDPRs’ dimension and shape are optimized with the maximum CSS and CTCW volume as the optimization indicators. First, the response surface optimization model between CDPRs’ performance and multi-objective optimization parameters is established, taking into account the coupling relationship of each CDPR optimization parameter and the effect on performance, and it is solved by using the Latin hypercube design method. Then, the effect of CDPRs’ dimension and shape on performance is analyzed by using the response surface optimization model, and the CDPRs’ optimization dimensions are provided. Full article

Cooperative learning, a pedagogical approach emphasizing structured collaboration and mutual responsibility, has been associated with academic and social benefits, yet its influence on adolescents’ prosocial and antisocial behaviors remains underexplored. This study examined the relationships between cooperative learning, affective experiences, and social behavior in adolescent students. A total of 261 adolescent students (M = 13.06 years, SD = 0.86) from Greece participated in this cross-sectional study. Data were collected via questionnaires assessing perceptions of cooperative learning, enjoyment, vitality, and prosocial/antisocial behaviors toward teammates and opponents. Factor analyses confirmed the validity of the Greek versions of the instruments. Path analysis revealed that contextual elements of cooperative learning explained a significant proportion of variance in enjoyment and vitality, which in turn predicted prosocial behavior toward both teammates and opponents. Specifically, enjoyment and vitality were positively associated with prosocial orientations, whereas vitality negatively predicted antisocial behavior toward teammates. Unexpectedly, group reflection and heterogeneity emerged as negative predictors of enjoyment and vitality, while interaction showed marginal positive effects. Indirect effects indicated that cooperative learning dimensions influenced social behavior primarily through enjoyment and vitality. These findings suggest that positive affective states mediate the impact of cooperative learning on students’ social conduct in PE. Implications for practice highlight the importance of carefully designing cooperative structures to enhance enjoyment and vitality while fostering prosocial interactions during adolescence. Full article

This study investigates how major agricultural commodities interact with diversified U.S. equity funds, sorted by their environmental, social, and governance (ESG) risk exposure. Using daily Morningstar data on 880 U.S. equity mutual funds, we construct portfolios representing high- and low-ESG-risk equities and examine their linkages with prices for eight agricultural commodities. Applying Fourier-augmented Toda–Yamamoto VAR and LM-GARCH models that accommodate both abrupt and gradual structural breaks, we document clear heterogeneity across ESG risk segments. Low-ESG-risk portfolios exhibit minimal price and volatility spillovers from agricultural commodities, whereas high-ESG-risk portfolios display strong and often bidirectional transmissions—particularly for coffee, corn, cotton, livestock, and soybeans. These findings highlight ESG risk exposure as a key dimension shaping commodity–equity integration and provide new evidence on how sustainability-related risks influence equity market vulnerability to commodity shocks. Full article

Mutual interaction between the nervous and immune systems underpins many pathophysiological processes. Transient Receptor Potential Melastatin 2 (TRPM2) channels are abundantly expressed in both systems, acting as a critical interface of neuroimmune interaction. TRPM2 channels in immune cells participate in innate immunity and immune inflammation by acting as an oxidative stress and metabolic sensor. TRPM2 in neurons functions not only as an oxidative sensor but also a temperature sensor and a pain transducer critical to neuronal death, temperature sensing, thermoregulation, and chronic pain. Cooperation between immune and neuronal TRPM2 influences the outcome of neuroimmune interaction and many diseases such as infection, inflammation, ischemic stroke, pain, and neurodegenerative diseases. Improved understanding of neuronal and immune TRPM2 interaction is essential for therapeutic interventions for the treatment of diseases mediated by TRPM2 channels. Full article

Aiming at the problem that existing intuitionistic fuzzy entropy measures fail to fully balance the interaction between intuition (determined by hesitation degree) and fuzziness (characterized by the difference between membership degree and non-membership degree), this paper proposes the concept of isentropic arc, reveals the mutual offset effect of the two in entropy composition, and provides a new theoretical perspective for the planar analysis of entropy measures. Further research finds that there are maximum and minimum entropy points in the intuitionistic fuzzy entropy plane. Based on this, two different types of isentropic arcs can be constructed. Combining this feature with the core logic of approaching the ideal solution, this paper constructs a new intuitionistic fuzzy entropy measure formula based on the TOPSIS method. This formula can characterize the synergistic influence of intuition and fuzziness at the same time, meets all the constraints of the axiomatic definition, and is more suitable for the needs of actual decision-making scenarios. Comparative analysis of numerical examples shows that the proposed new entropy measure has significantly better discrimination than existing methods for six groups of samples with a high hesitation degree and high fuzziness, and the entropy value ranking is consistent with the ranking of the uncertainty information contained in the samples. Finally, the weight decision-making model based on this entropy measure is applied to the evaluation of coal mine emergency rescue capability, verifying its practical value in solving complex uncertainty problems. Full article

With the acceleration of urbanization, municipal landscape roads play a crucial role in urban public spaces. This study focuses on the distress detection and aging characteristics of asphalt pavements in municipal landscape roads. Firstly, a novel method is proposed based on the SpA-Former shadow removal network, which effectively addresses the interference caused by tree shadows and significantly improves the accuracy of automated distress identification. Distress detection results indicate that transverse cracks are the most common type of distress, primarily influenced by environmental factors such as asphalt material aging, temperature fluctuations, and freeze-thaw cycles—these factors induce asphalt embrittlement and a substantial decline in crack resistance. Subsequently, accelerated aging experiments were conducted to simulate the aging process of asphalt materials. It was found that as aging time extends, asphalt stiffness increases significantly; while this enhances deformation resistance, it also makes the material more prone to cracking under low-temperature conditions. Low-temperature crack resistance tests reveal that asphalt aged for more than six years exhibits a sharp deterioration in low-temperature crack resistance, showing distinct brittle characteristics. Furthermore, freeze-thaw cycle experiments demonstrate that the coupling effect of asphalt aging and freeze-thaw action significantly impairs its freeze-thaw resistance—particularly for asphalt aged over six years, which nearly loses its freeze-thaw resistance. In summary, the coupling effect of asphalt aging and environmental factors is the primary cause of pavement damage in municipal landscape roads. This study divides 2542 images into three mutually exclusive subsets: a training set of 2123 images, a validation set of 209 images, and a test set of 210 images. The research provides new theoretical references and technical support for the maintenance and management of landscape roads, especially demonstrating practical significance in distress detection and the analysis of material aging mechanisms. Full article

Rock burst is one of the most typical dynamic disasters in the process of coal mining. Energy-absorbing components are key to anti-impact equipment. Exploring the mutual feedback relationship between energy-absorbing components and columns for the prevention and control of roadway rock burst is of great significance. In this study, an arc-shaped energy-absorbing component was designed, and its energy-absorbing characteristics were analyzed. The finite element analysis results of the arc-shaped energy-absorbing component were verified via the crushing test machine. The energy-absorption effect of pre-folded, diameter-expanded, eversion, and arc energy-absorbing columns under impact is compared horizontally. The results show that the supporting force is stable during the crushing deformation of the arc-shaped energy-absorbing component, and the average supporting force measured in the test is 1145.35 kN. Compared with the other three energy-absorbing columns, the arc-shaped energy-absorbing column has a lower emulsion pressure peak and the maximum pressure fluctuation amplitude during the impact process; it also has a better deceleration effect on the quality mass. During the impact process, the influence of the arc-shaped energy-absorbing component on the liquid impact in the column is summarized into three stages, namely approximate elasticity, flexible yield energy-absorbing, and approximate rigidity, which can achieve the peak clipping effect on the liquid impact and improve the impact resistance of the column. Full article

This study investigates how U.S. Federal Reserve interest rate cuts during the 2019–2020 easing cycle influenced the performance of equity mutual funds, with a particular emphasis on contrast between growth and value investment styles. Using an event study framework, we examine abnormal returns, cumulative abnormal returns, and risk-adjusted performance metrics, including those based on both 30 days static and rolling Jensen’s alpha and Sharpe ratios, across short-term (30-day) and long-term (6-month and 1-year) windows surrounding three major rate cut events. Our empirical results show that growth funds significantly outperform value funds following rate reductions, especially over longer horizons. This performance advantage is more pronounced in risk-adjusted measures and strengthens when incorporating rolling dynamics, indicating that and asymmetric sensitivity of fund styles to interest rate changes, shaped by differences in duration exposure and investor sentiment. Overall, this study offers novel insights into how monetary policy influences fund-level dynamics beyond broad market movements and deepens the understanding of monetary transmission in asset management by incorporating time-varying performance metrics. Full article

On-field calibration for SINS often uses right hexahedron, but the influence of the structure errors, such as mutual position tolerances towards parallelism or the perpendicularity of two arbitrary planes of the hexahedron, on the calibration accuracy is often neglected. In this paper, a hexahedron structure error model and a comprehensive corresponding SINS calibration error model are developed based on hemispherical resonator gyroscope (HRGs). The proposed method introduces the comprehensive hexahedron errors through defining the normal vectors of the exterior surfaces of the hexahedron. A 24-position calibration scheme is designed to identify accelerometer-related errors, while a 48-rotation scheme is developed to identify gyro-related errors. The complete calibration procedure enables simultaneous identification of hexahedron structure errors, installation misalignments, scale factor errors, and biases. Experimental validation is conducted using a high-precision three-axis turntable, which simulates the hexahedron structure errors. The results show that the proposed method significantly improves the calibration accuracy of both accelerometers and HRGs compared with traditional methods. Furthermore, it reduces the accuracy requirements for the hexahedron structure, thus lowering the cost of SINS on-field calibration. Full article

In this article, the authors present an in-depth analysis of a PTAT sensor and its role as one of the analogue blocks in a test ASIC. The authors propose some modifications to the PTAT sensor to reduce output signal non-linearities observed following measurements that are more accurate than those in their previous article on a PTAT sensor. The obtained PTAT sensor linearity ranges from R² = 0.9990 to R² = 0.9999 in a temperature range from −40 °C to 150 °C for the entire set of measured specimens, and the details of these test sessions are discussed in this manuscript. Moreover, it is demonstrated that at least some of the implemented circuits may have a discernible impact on the operation of the others. This is particularly evident regarding the bandgap reference, whose operation is also presented and analysed. The integrated circuit specimens containing all analysed circuits were manufactured using custom 3 µm CMOS technology on an n-type wafer. Measurements showed that some circuits containing p-diff resistors behave differently compared to those consisting solely of MOS transistors in symmetrical and matched configurations. The spread of resistor values is approximately 20%, thus requiring their skilful operation in this technology. The likely cause of the bandgap reference’s operation modification has been identified, and promising results have been obtained by recreating its malfunction via simulation. The authors found that in this technology, analogue circuits should be designed with a large margin for component dimensions, especially those implanted in p-wells. Full article

Innovation in the new energy industry serves not only as a key accelerator for the global green and low-carbon energy transition but also as a core driving force of the ongoing energy revolution. This study utilizes data on publications, patents, and the spatial distribution of representative innovation enterprises in the new energy industry of the Yangtze River Delta urban agglomeration from 2009 to 2023 to construct a multilayer science–technology–industry innovation network. Social network analysis is employed to examine its evolutionary dynamics and structural characteristics, and the Quadratic Assignment Procedure (QAP) is used to investigate the factors shaping intercity innovation linkages. The results reveal that the multilayer innovation network has continuously expanded in scale, gradually forming a multi-core radiative structure with Shanghai, Nanjing, and Hangzhou at the center. At the cohesive subgroup level, the scientific and technological layers exhibit clear hierarchical differentiation, where core cities tend to engage in strong mutual collaborations, while the industrial layer shows a hub-and-spoke pattern combining large, medium, and small cities. In terms of layer relationships, the centrality of the scientific layer increasingly surpasses that of the technological and industrial layers. Inter-layer degree correlations and overlaps also display a strengthening trend. Furthermore, differences in regional higher education scale, urban economic density, and geographic proximity are found to exert significant influences on scientific, technological, and industrial innovation linkages among cities. In response, this study recommends enhancing the leadership role of core cities, leveraging the bridging and intermediary functions of peripheral cities, and promoting application-driven cross-regional innovation collaboration, thereby building efficient science–technology–industry networks and enhancing intercity innovation linkages and the flow of innovation resources, and ultimately promoting the high-quality development of the regional new energy industry. Full article

Lipids provide essential membrane components and energy sources for viral replication, playing multiple roles in viral infection. However, the mutual influence between lipid metabolism and PRRSV proliferation remains unclear. Using transcriptomics, lipidomics, BODIPY staining, and Western blot (WB) analysis, our findings revealed that PRRSV infection significantly altered the abundance of lipid-metabolism-associated genes and lipid metabolites in cells. qRT-PCR confirmed that PRRSV infection dose-dependently upregulated SREBP2 expression (p < 0.01), while BODIPY staining demonstrated a significant increase in intracellular lipid droplets post-infection (p < 0.01). Let-7f-5p significantly reduced lipid droplet accumulation and suppressed PRRSV N protein expression. Notably, 15 lipid species that were upregulated during PRRSV infection were downregulated by let-7f-5p overexpression. These lipids were enriched in pathways related to phosphatidylcholines, monounsaturated fatty acids, and C16-C18 fatty acid metabolism. Exogenous palmitic acid (C16:0) treatment reversed the inhibitory effects of let-7f-5p on SREBP2 expression and viral replication, demonstrating that viral proliferation can be regulated by modulating host lipid metabolism. This study reveals that PRRSV hijacks host lipid metabolism to facilitate viral replication, whereas let-7f-5p exerts antiviral effects through dual mechanisms. These findings provide new insights into host-directed antiviral strategies against PRRSV infection. Full article

This article proposes a dynamic causal inference framework that integrates theoretical analysis, numerical simulation, and industrial data mining to address the root-cause tracing problem of time-delay effects in strip thickness and shape quality during hot rolling. First, we analyze the key process parameters, equipment states, and material characteristics influencing geometric quality and clarify their dynamic interaction mechanisms. Second, a delay-correlation matrix calculation method based on Dynamic Time Warping (DTW) and Mutual Information (MI) is developed to handle temporal misalignment in multi-source industrial signals and quantify the strength of delayed correlations. Furthermore, a transformer-based information gain approximation mechanism is designed to replace traditional explicit probability modeling and learn dynamic information-flow relationships among variables in a data-driven manner. Experimental verification on real production data demonstrates that the proposed framework can accurately identify time-delay causal pathways, providing an interpretable and engineering-feasible solution for quality control under complex operating conditions. Full article

In order to address the issue of inadequate negative pressure distribution in the gas extraction pipeline network and to enhance the efficiency of gas extraction, a study was conducted on the mechanisms of mutual influence between various branches within the gas extraction pipeline network. Using graph theory principles, a gas extraction network graph was built, and the gas extraction pipeline network was solved through the assignment adjustment iterative method. The study summarizes the sensitivity analysis of various control parameters, regulation patterns of branch valves and extraction pump control parameters at different network positions, and the impact of time parameters on the network’s operational conditions. Based on the solution results, an intelligent gas extraction control strategy was proposed. The results indicate that, under safety and efficiency constraints, gas concentration increased by approximately 11%, and gas purity increased by 0.3 m³/min, resulting in a 4.7% improvement after the implementation of intelligent control. The overall performance of the pipeline network was significantly enhanced. These research findings are of great significance for achieving efficient gas extraction. Full article