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With the advancement of technologies such as big data, machine learning, and human-computer interaction, there has been a notable increase in the expectations for the perceptual experience offered by graphic visual communication design. This study builds upon existing research to define six principal layout features specific to graphic visual communication design and presents a formula for calculating these features. Employing HSV color space theory, we quantify color perception features and utilize a generative adversarial network to establish a model for generating graphic layouts. An example analysis is conducted to validate the model. Notably, except for Q3 (warm color percentage), where the significance level was not below 0.01, all other variables showed significance levels under 0.01. The seven perceptual features that emerged as most influential on user experience include cold color percentage (0.088), color contrast (0.223), color vibrancy (0.188), hierarchical richness (0.267), number of colors (0.088), number of color palettes (0.212), and number of patches (0.081). This research not only enhances the efficiency and quality of graphic visual communication design layouts but also significantly enriches the perceptual experience of users.

Reconstructing the history of elite communication in ancient China benefits from additional archaeological evidence. We combine textual analysis with new human stable carbon and nitrogen isotope data from two Chu burials in the Jingzhou area to reveal significant dietary differences among Chu nobles of the middle Warring States period (c. 350 BC). This research provides important new information on the close interaction between the aristocratic families of the Qin and Chu. Keywords: China, Jingzhou, Chu, Qin, diet, stable isotopes, population integration, Introduction The two centuries preceding the Qin unification of the six states and the establishment of the first empire in Chinese history is commonly known as the Warring States period [...]

The collaboration among swarmed aircraft can provide additional observation to improve the integrity of its onboard navigation systems. But due to the limitation on relative communicating and measuring burdens, adopting all the observations between aircraft in the swarm is inefficient. The geometry of the collaborated partners is a key factor that influences the effectiveness of the navigation integrity augmentation, which needs to be optimized in collaborative integrity augmented navigation. In this paper, the integrity augmented navigation method for aerial swarm based on collaborative partner optimization is proposed. The geometry constructed by the GNSS satellites and the cooperative partners in the aerial swarm are analyzed dynamically, and the augmented integrity protection levels with different collaborative relationships are predicted to distinguish the partner essential for navigation integrity augmentation. Then the collaborative partner makes a key contribution to integrity augmentation adopted in collaborative navigation integrity monitoring, improving the efficiency of the collaborative navigation. The simulation results indicate the effectiveness of the proposed cooperative partnership optimization strategy, as well as the superiority of the proposed method compared with the traditional independent integrity framework in improving the integrity protection level and fault detection capacity. [ABSTRACT FROM AUTHOR]

Accurate and stable positioning is significant for vehicle navigation systems, especially in complex urban environments. However, urban canyons and dynamic interference make vehicle sensors prone to disturbance, leading to vehicle positioning errors and even failures. To address these issues, an adaptive loosely coupled IMU/GNSS/LiDAR integrated navigation system based on factor graph optimization with sensor weight optimization and fault detection is proposed. First, the factor nodes and system framework are constructed based on error models of sensors, and the optimization method principle is derived. Second, the interactive multiple-model algorithm based on factor graph optimization (IMMFGO) is utilized to calculate and adjust sensor weights for global optimization, which will reduce the impact of disturbed sensors. Finally, a multi-stage fault detection, isolation, and recovery (MSFDIR) strategy is implemented based on the IMMFGO results and IMU pre-integration measurements, which can detect significant sensor faults and optimize the system structure. Vehicle experiments show that our IMMFGO method generally obtains better performance in positioning accuracy by 23.7% compared to adaptive factor graph optimization (AFGO) methods, and the MSFDIR strategy possesses the capability of fault sensor detection, which provides an essential reference for multi-source vehicle navigation systems in urban canyons. [ABSTRACT FROM AUTHOR]

In light of the satellite rejection environment and how aircraft can obtain high-precision positioning, this paper proposes a collaborative correction algorithm for aircraft based on the rank-defect network. Aiming at the problem of insufficient anchor points, which result in insufficient observations and the divergence of aircraft inertial navigation errors, this algorithm can effectively improve the navigation performance of cluster aircraft. On the basis of the observation information provided by the anchor aircraft, the observation information between aircraft is fully utilized to improve the observability of the aircraft cluster positioning method. At the same time, the pseudo-observation equation of heterogeneous aircraft cluster positioning is introduced, and the divergence of inertial navigation positioning errors caused by insufficient observations is suppressed by the pseudo-observation solution. On the basis of introducing the pseudo-observation equation, the inertial navigation error is solved and corrected by the Newton iterative method and the divergence of the inertial navigation position error is restrained. Compared with an aircraft cluster positioning method that does not use the inertial navigation error co-correction based on the pseudo-observation solution, this paper can achieve better overall cluster positioning accuracy when the available observations are insufficient, which is suitable for practical applications. [ABSTRACT FROM AUTHOR]

Objectives: To investigate the safety and efficacy of indocyanine green (ICG) fluorescence‐guided inguinal lymph node dissection (ILND) in patients with penile cancer. Patients and Methods: A prospective, single‐blind, randomised controlled clinical trial (ChiCTR2100044584) was performed among patients with penile caner who underwent bilateral modified ILND at four centres in China between 1 April 2021 and 30 June 2022. Patients aged 18–80 years and diagnosed with squamous cell carcinomas were included. Each enrolled patient was randomly assigned to either ICG fluorescence‐guided ILND by a laparoscopic or robot‐assisted approach in one groin, with non‐ICG fluorescence‐guided ILND in the other groin acting as a control. The primary outcome was the number of retrieved ILNs. Secondary outcomes included complications according to the Clavien–Dindo classification and the ILN non‐compliance (inadequate removal of ILNs) rate. Results: A total of 45 patients were included in the intention‐to‐treat (ITT) analysis, and the 42 who completed the entire study were included in the per protocol (PP) analysis. There were no ICG‐related complications in any of the patients. The results of the ITT and PP analyses indicated that the total number of unilateral ILNs retrieved was higher on the ICG side than on the non‐ICG side (mean 13 vs 9 ILNs, difference 4 ILNs [95% CI 2.7–4.4], P = 0.007), and the number of unilateral deep and superficial ILNs was higher on the ICG side. Furthermore, the LN non‐compliance rate was lower on the ICG side than on the non‐ICG side. Additionally, there was no significant difference in local complications in the groins between the two sides (P > 0.05). Conclusion: An ICG fluorescence‐guided ILND was safe for patients with penile cancer. This procedure can improve the number of ILNs retrieved and reduce the LN non‐compliance rate without increased complications. ICG fluorescence‐guided ILND is beneficial and recommended for selected patients with penile cancer. [ABSTRACT FROM AUTHOR]

The hybrids of graphene oxide (GO) encapsulated nano-Si[O.sub.2] (Si[O.sub.2]-GO) were introduced into phenolic resin (PR) to enhance thermal stability of PR. The effect mechanism was investigated in detail. Through electrostatic self-assembly method, the Si[O.sub.2] nanoparticles were evenly distributed onto the surface of GO. This structure could not only prevent the aggregation of nano-Si[O.sub.2], but also alleviate the phenomenons of crimp and stack for GO sheets in PR. Nano-Si[O.sub.2] and GO showed elaborate synergistic effect on thermal stability of PR. Compared with the pristine PR, the 2 wt% Si[O.sub.2]-GO/ PR composite showed higher [T.sub.5%], [T.sub.10%], and [T.sub.dmax], which were increased by 65.39, 62.23, and 23.17[degrees]C, respectively. And the char yield at 800[degrees]C increased from 64.78% to 69.38%. Thus, Si[O.sub.2]-GO hybrids can facilitate the application of PR in the fields of heat insulation and ablation resistance. POLYM. ENG. SCI., 58:2143-2148, 2018. [C] 2018 Society of Plastics Engineers, INTRODUCTIONPhenolic resin (PR) is employed in many fields for its good thermal stability, flame retardancy, and char retention capacity [1,2]. It has been widely used as antiablation and heat-proof material [...]