Guangdong Machinery Research Institute

Integrated pump-gates serve as crucial infrastructure in hydraulic engineering, urban flood control, and water transfer projects, playing a key role in enhancing engineering efficiency and ensuring public safety. However, the complex pressure pulsations induced by internal flow often result in reduced operational efficiency, structural vibrations, and fatigue damage. Therefore, it is essential to conduct systematic research aimed at optimizing their design and operational stability. This study utilizes the SST k-ω turbulence model to conduct numerical simulations analyzing pressure pulsation characteristics and radial force distributions under rotational speeds of 485 r/min and 590 r/min across varying flow conditions. The results reveal that at low-flow conditions, relatively strong pressure pulsations are observed on the impeller's suction side, whereas at high-flow conditions, more complex frequency-domain features emerge, likely linked to intensified turbulence or flow impact. As flow rates increase, the radial force distribution becomes more uniform, whereas higher rotational speeds yield larger absolute radial forces with reduced sensitivity to flow variations. These findings provide theoretical insights into improving hydraulic stability and mitigating structural fatigue risks, offering practical insights to enhance operational efficiency, prolong service life, and ensure the safety and sustainability of integrated pump-gate systems in water conservancy projects.

With rapidly developing autonomous vehicle (AV) technologies, the optimal driving strategy should consider multi-objective optimization problems of large-scale transportation systems, including safety and efficiency. Different driving strategies have different performance, and there is an interaction between vehicles with different strategies. Since the Nash equilibrium is hard to find for an n-player game, it is difficult to get an analytical solution to this multi-objective optimization problem. Therefor a coevolutionary algorithm is proposed to explore the interactions between populations with different strategies and investigate the cooperation and competition among vehicles. Combining the multi-objective optimization algorithm and the incentive mechanism of survival of the fittest reproduction law, the system structure reaches a stable equilibrium state and the optimal group driving strategy evolves. Simulation results, with 40,000 vehicles driving in Luxembourg SUMO Traffic Scenario, demonstrate that the rational–rational strategy performs best among six typical strategies. Meanwhile, the accident rate drops by 56%, while the overall average speed increases by 30%. The results of multi-vehicle and multi-objective coevolution are enlightening in designing optimal driving strategy with AVs.

A cagaita (Eugenia dysenterica DC), pertencente famlia das mirtceas, um fruto nativo do bioma Cerrado, rico em compostos bioativos fenlicos (CBF) que esto associados a diversos efeitos biolgicos benficos sade humana, tais como reduo da resistncia insulina e inflamao sistmica. Os objetivos deste trabalho foram caracterizar quimicamente os compostos fenlicos presentes na cagaita, em especial os elagitaninos (ET), avaliar a biodisponibilidade dos ET presentes no suco de cagaita em seres humanos saudveis e o seu efeito sobre as respostas glicmica, insulinmica e incretnica em indivduos disglicmicos, portadores de sndrome metablica. A caracterizao qumica dos CBF da cagaita foi realizada atravs de cromatografia lquida de ultra eficincia com ionizao por eletrospray acoplada a detector de massas de alta resoluo quadrupolo-tempo de vo (CLUE-ESI-QTOF) e mostrou, de maneira indita, a presena de elagitaninos como telimagrandina I e pedunculagina, alm de derivados de cido elgico, derivados de quercetina e derivados de miricetina. A biodisponibilidade dos ET da cagaita foi avaliada, aps a administrao do fruto na forma de suco a indivduos saudveis (n=16), por cromatografia lquida de alta eficincia acoplada a espectrmetro de massas com analisador quadrupolo simples (CLAE-DAD-ESI-Q(MS)) e CLUE-ESI-QTOF. Foi possvel observar pela primeira vez a metabolizao destes compostos (ET) do fruto com a identificao dos metabotipos A (37%), metabotipos B (44%) e metabotipos 0 (19%). Quanto s respostas endcrinas, em voluntrios disglicmicos portadores de sndrome metablica (n=12) observou-se a rea abaixo da curva (AUC) de glicose reduzida em 53%, insulina 38%, GIP (polipeptdeo insulinotrpico dependente de glicose) 78% e peptdeo-C 58% (p<0,05), em relao ao controle.