Scaled Position Consensus of High-Order Uncertain Multiagent Systems Over Switching Directed Graphs.

We investigate the scaled position consensus of high-order multiagent systems with parametric uncertainties over switching directed graphs, where the agents' position states reach a consensus value with different scales. The intricacy arises from the asymmetry inherent in information interaction. Achieving scaled position consensus in high-order multiagent systems over directed graphs remains a significant challenge, particularly when confronted with the following complex features: 1) uniformly jointly connected switching directed graphs; 2) complex agent dynamics with unknown inertias, unknown control directions, parametric uncertainties, and external disturbances; 3) interacting with each other via only relative scaled position information (without high-order derivatives of relative position); and 4) fully distributed in terms of no shared gains and no global gain dependency. To address these challenges, we propose a distributed adaptive algorithm based on a acrlong MRACon scheme, where a linear high-order reference model is designed for every individual agent employing relative scaled position information as input. A new transformation is proposed which converts the scaled position consensus of high-order linear reference models to that of first-order ones. Theoretical analysis is presented where agents' positions achieve the scaled consensus over switching directed graphs. Numerical simulations are performed to validate the efficacy of our algorithm and some collective behaviors on traditional consensus, bipartite consensus, and cluster consensus are shown by precisely choosing the scales of the agents.

An investigation of the growth status of 19-year-old Idesia polycarpa 'Yuji' plantation forest in the mountainous region of Henan, China.

Plantation forests play an important role in the mitigation of greenhouse gas emissions. Idesia polycarpa Maxim is an emerging woody oil tree species in most Asian countries. The 19-year-old Idesia polycarpa 'Yuji' plantation forest was selected as a sample site. The nutrient contents of the understory soil total carbon (TC), total nitrogen (TN), nitrate nitrogen (NN), organic carbon (OC), available phosphorus (AP), available potassium (AK), and pH were analyzed. Several metrics were measured to quantify the growth status of the forest, such as tree heights (H), clear bole heights (CBH), diameters at breast height (DBH), and male-to-female ratios (MFR). In addition, we harvested the fruits to analyze oil content and fatty acid composition. The results found that the nutrient content of the soil was TC (4.93%), TN (0.42%), NN (43.08 mg kg-1), OC (4.90 g kg-1), AP (13.66 mg kg-1), AK (30.48 mg kg-1), and pH (7.90). The growth characteristics were H (11.75 m), DBH (12.79 cm), and CBH (6.17 m). The MFR was close to 1:1. Besides, the oil content of the fruit and unsaturated fatty acids was 24.08% and 68.49%, respectively. As an alternative tree species, the plantation of Idesia polycarpa offers great potential in artificial afforestation in some particular places with specific forest site conditions.

[The effect of aerobic and anaerobic endurance training on the regulating function of autonomic nervous system and its significance].

To evaluate the effect of aerobic and anaerobic endurance training the regulating the function of autonomic nervous system, in order to provide scientific basis for optimizing the project of physical fitness training. Fourty-one healthy young men were randomly divided into aerobic and anaerobic endurance training groups. The training period was 8 weeks. Pre-exercise, 4 weeks and 8 weeks after trained, HRV were measured compared with pre-exercise. The autonomic balance in aerobic endurance group had an increasing parasympathetic activity (HF, HFnu, RMSSD, PNN50, all P was < 0.05) and relatively decreasing sympathetic activity (LFnu). This group showed a parasympathetic predominance (LF/HF) and increase of HRV. While in the anaerobic group there was a relative stabilization with the function of autonomic nervous system. The present study shows that the effect of aerobic and anaerobic endurance training on the autonomic nervous system depends on its intensity. Proper intensity of anaerobic endurance training may be beneficial to improve the adaptability of human body for circumstances as aerobic endurance training.

[Comparison of heart rate variability in healthy young men during exposure to different altitudes].

The characteristics of cardiovascular autonomic nerve system(ANS) modulation during exposure to three different altitudes were compared by time domain, spectral and nonlinear analysis of short-(5 minutes)term heart rate variability (HRV). The standard deviation of all RR intervals (SDNN), the square root of the mean squared differences of successive RR intervals (rMSSD), the percentage of successive interval differences >50 ms (PNN50), low frequency (LF), high frequency power (HF), and total power (TP) at 2800 m were slightly higher than those at 1856 m, but the differences were non-significant statistically. SDNN, rMSSD, LF and HF at 3040 m were significantly lower than those at 1856 m and 2800 m. These results show that parasympathetic nerve activity decreases significantly, and ANS modulation is blunted after exposure to higher altitude. This kind of change of ANS may contribute to further elucidate pathophysiology in body after exposure to high altitude.