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Situation awareness (SA) of pilots’ unsafe behavior can ensure safety onboard. Thus, the cognitive mechanism that controls the SA leading to unsafe behavior must be articulated. This study employs the SA model and theory of planned behavior (TPB) to articulate a quantitative model of ship safe piloting. Firstly, the hierarchical classification framework of unsafe behaviors was constructed as an analytical foundation for rational and unconscious behaviors in sight of cognitive processes, and then the measurement elements of the cognitive mechanisms for behaviors were identified. Subsequently, based on the structural model, a hypothetical model of the cognitive path for unsafe behaviors was proposed by using the extended TPB, where there are four independent variables (i.e., attitude (ATD), subjective norm (SN), and perceived behavioral control (PBC)), one mediating variables (i.e., SA) and two dependent variables (i.e., behavioral intention (BI) and unsafe behaviors (BE)). Finally, this hypothetical model was analyzed with the data resources from extended TPB questionnaire of 295 pilots. Analysis results show that relationships of causation and mediation in the cognitive mechanism are in line with the behavior pattern and SA have a pronounced mediating effect and a strong relevance to the causal chain of extended TPB framework. This study integrated the SA three-level model to understand the motivation–cognition–action–feedback (MCAF) mechanism of pilots’ unsafe behaviors under cognitive mode of information processing through structural model. It would make a valuable contribution to the assessment and intervention of safety behaviors, and provide a basic framework for monitoring the situation awareness of pilot by man-machine interactive measurement technology in the future.

In order to improve the symmetry of the flutter mechanism in the bionic flutter aircraft, and then improve the overall motion stability of the flutter aircraft. In this paper, an innovative flutter wing configuration is designed based on a planar crank-slider mechanism and a sparrow model. The geometric relationship of the flutter mechanism is established, the motion of the flutter aircraft is modeled, and the dimensions of the model are optimized. The geometric relationship of the flutter structure was simulated and analyzed by CATIA. The results show that the upper limit angle of the designed flutter structure is βmax=25.82° and the lower limit angle is βmin=6.34°. The CATIA simulation data are consistent with the theoretical values of the established structural geometry model. Meeting the needs of small and medium-sized flutter aircraft.The design provides a theoretical basis for the design and development of the bionic flutter vehicle and the fabrication of a solid prototype.

Antimicrobial resistance (AMR) has become a public health concern; but antibiotic resistance genes (ARGs) and integrons that link to AMR of Escherichia coli from non-human primates remain largely unknown. This study aimed to investigate antibiotic resistance, emerging environmental pollutants ARGs, and integrons factors (intI1, intI2 and intI3) in 995 E. coli isolates obtained from 50 species of captive non-human primates of 13 zoos in China. Our result showed 83.62% of the E. coli isolates were resistant to at least one antibiotic and 47.94% isolates showed multiple drug resistances (MDR). The E. coli isolates mainly showed resistance to tetracycline (tetracycline 62.71%, doxycycline 61.11%), β-lactams (ampicillin 54.27%, amoxicillin 52.36%), and sulfonamide (trimethoprim-sulfamethoxazole 36.78%). A total of 423 antibiotic resistance patterns were observed, of which DOX/TET (49 isolates, 4.92%) was the most common pattern. Antibiotic resistance rates among 13 zoos had a significant difference (P < 0.01). We further detected 22 ARGs in the 995 E. coli isolates, of which tetA had the highest occurrence (70.55%). The presence of integrons class 1 and 2 were 24.22% and 1.71%, respectively, while no class 3 integron was found. Significant positive associations were observed among integrons and antibiotics, of which the strongest association was observed for integrons / Gentamicin (OR, 2.642) and integrons / Cefotaxime (OR, 2.512). In addition, cassette arrays were detected in 64 strains of class 1 integron-positive isolates (26.56%) and 10 strains of class 2 integron-positive isolates (58.82%). Eighteen cassette arrays were found within 64 class 1 integron isolates, while 3 cassette arrays were identified within 10 class 2 integron isolates. Our results indicate a high diversity of antibiotic resistance phenotypes in non-human primate E. coli isolates, which carry multiple ARGs and integrons. Corresponding preventive measures should be taken to prevent the spread of integron-mediated ARGs in non-human primates and their living environments in zoos.