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We study the existence of solutions of the nonlinear second order m-point boundary value problem with p-Laplacian at resonance { (ϕ p (x ′)) ′ = f (t , x , x ′) , t ∈ [ 0 , 1 ] , x ′ (0) = 0 , x (1) = ∑ i = 1 m − 2 a i x (ξ i) , where ϕ p (s) = | s | p − 2 s , p > 1 , f : [ 0 , 1 ] × R 2 → R is a continuous function, a i > 0 (i = 1 , 2 , ... , m − 2 ) with ∑ i = 1 m − 2 a i = 1 , 0 < ξ 1 < ξ 2 < ⋯ < ξ m − 2 < 1 . Based on the topological transversality method together with the barrier strip technique and the cut-off technique, we obtain new existence results of solutions of the above problem. Meanwhile some examples are also given to illustrate our main results. [ABSTRACT FROM AUTHOR]

In this work, we proposed a grating optimization method for waveguide type head-up display based on the multilayer perceptron network classification, which achieves rapid prediction and optimization of an interlayer grating structure. Compared with existing grating structures, the optimized grating has a coupling efficiency of 73% at wavelengths of 450 nm, 532 nm, and 637 nm simultaneously. The uniformity of diffractive efficiency can reach 0.84 within the 400–650 nm range, ultimately achieving color uniformity within a single-layer waveguide over a 15° field of view angle range. This method also provides ideas for optimizing other types of grating waveguide structures. [ABSTRACT FROM AUTHOR]

To examine whether females and males of Chinese seabuckthorn (Hippophae rhamnoides subsp. sinensis Rousi) differ in their responses to elevated atmospheric carbon dioxide (CO2) and temperature, we examined gender-specific physiological and growth responses of H. rhamnoides, exposed to elevated temperature (ET), elevated CO2 concentration (EC), and their interaction (ECT) in environmentally controlled growth chambers. We found that ET significantly decreased the high growth rate (HGR) in both sexes. There were gender differences in biomass accumulation, photosynthetic capacity, nutrient absorption, and nonstructural carbohydrate (NSCs) contents under ET condition. The growth of females was more inhibited by ET than did males. EC significantly increased HGR, net photosynthetic rate (Pn), and biomass accumulation in both sexes, especially for males. Moreover, physiological and biochemical parameters, such as root nodule biomass and N content, showed greater gender differences under ECT than under EC and ET conditions. For both females and males, ECT increased HGR, biomass accumulation, Pn, and water use efficiency (WUE). We conclude that H. rhamnoides males and females exhibited sexually differential responses to climate change. [ABSTRACT FROM AUTHOR]

Ultra-wide bandwidth (UWB) transmission is a promising technology for localization systems, due to its power efficiency, strong penetrability, and robust operation in severe multipath environments. As we know, the large time stamp errors result in significant localization errors. The time stamp errors will be large if the direct path (DP) signal that is between the transmitting node and the receiving node is not detected correctly at the receiving node. It always happens in non-line-of-sight (NLOS) conditions. So it is very important to identify NLOS, because we want to mitigate the significant localization errors in NLOS conditions. The existing techniques based on machine learning techniques have not discussed the problem that the features used to represent the propagation conditions are affected by the transmission distance of the signal, the transmitted power, the transmitted preamble length and other factors (related-factors-of-features, RFOF), which seriously affect the accuracy of the classifier that is trained by the features. So a practical NLOS identification (PNI) technique is proposed in this paper. PNI includes reduce-effect-of-related-factors (REORF) for reducing the serious effect and a set of appropriate features for improving speed of NLOS identification. Experimental results show that PNI have better performance in various system environment and real-world environment than the existing techniques. [ABSTRACT FROM AUTHOR]

A correction to this paper has been published: https://doi.org/10.1007/s11277-021-08539-4 [ABSTRACT FROM AUTHOR]

As basic data, the river networks and water resources zones (WRZ) are critical for planning, utilization, development, conservation and management of water resources. Currently, the river network and WRZ of world are most obtained based on digital elevation model data automatically, which are not accuracy enough, especially in plains. In addition, the WRZ code is inconsistent with the river network, hindering the efficiency of data in hydrology and water resources research. Based on the global 90-meter DEM data combined with a large number of auxiliary data, this paper proposed a series of methods for generating river network and water resources zones, and then obtained high-precision global river network and corresponding WRZs at level 1 to 4. The dataset provides generated rivers with high prevision and more accurate position, reasonable basin boundaries especially in inland and plain area, also the first set of global WRZ at level 1 to 4 with unified code. It can provide an important basis and support for reasonable use of water resources and sustainable social development in the world. Measurement(s) river Technology Type(s) computational modeling technique Factor Type(s) geographic location Sample Characteristic - Environment freshwater river Sample Characteristic - Location Earth (Planet) Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.9785243 [ABSTRACT FROM AUTHOR]