This paper employs industrial robot installations that represent the level of smart manufacturing as the proxy variable of artificial intelligence(AI). Based on crosscountry panel data and China’s provincial panel data, we create a two-stage least square(2 SLS) regression model to examine the effect of an aging population on AI applications and AI’s effect on economic growth. In this manner, we aim to test whether AI has a substitutive effect on labor against the backdrop of an aging society and the kind of such a substitutive effect. Our findings suggest that the labor shortage arising from an aging society will prompt an economy to adopt smart manufacturing more broadly, i.e. an aging society is a driver of AI development. Smart manufacturing has a positive effect on local GDP and helps shore up the slowing economy resulting from an aging society. AI is an important tool for coping with the challenges of an aging society. Current AI development is an "induced innovation," and its substitutive relationship with labor is a "supplemental substitution" rather than "crowding-out substitution." If these characteristics are properly maintained, AI will contribute more to China’s economy against the backdrop of an aging society.
Abstract The mechanisms underlying elevation patterns in species and phylogenetic diversity remain a central issue in ecology and are vital for effective biodiversity conservation in the mountains. Gongga Mountain, located in the southeastern Qinghai–Tibetan Plateau, represents one of the longest elevational gradients (ca. 6,500 m, from ca. 1,000 to 7,556 m) in the world for studying species diversity patterns. However, the elevational gradient and conservation of plant species diversity and phylogenetic diversity in this mountain remain poorly studied. Here, we compiled the elevational distributions of 2,667 native seed plant species occurring in Gongga Mountain, and estimated the species diversity, phylogenetic diversity, species density, and phylogenetic relatedness across ten elevation belts and five vegetation zones. The results indicated that species diversity and phylogenetic diversity of all seed plants showed a hump-shaped pattern, peaking at 1,800–2,200 m. Species diversity was significantly correlated with phylogenetic diversity and species density. The floras in temperate coniferous broad-leaved mixed forests, subalpine coniferous forests, and alpine shrublands and meadows were significantly phylogenetically clustered, whereas the floras in evergreen broad-leaved forests had phylogenetically random structure. Both climate and human pressure had strong correlation with species diversity, phylogenetic diversity, and phylogenetic structure of seed plants. Our results suggest that the evergreen broad-leaved forests and coniferous broad-leaved mixed forests at low to mid elevations deserve more conservation efforts. This study improves our understanding on the elevational gradients of species and phylogenetic diversity and their determinants and provides support for improvement of seed plant conservation in Gongga Mountain.
Alpha functions are of critical importance to the cubic equations of state (EOSs) while most existing alpha functions are correlations in the empirical/semi-empirical formulations and limited to the bulk phase calculations. In this study, a new analytical alpha function and its nanoscale-extended formulation, which considers the strong intermolecular interactions under confinement effects, are developed based on the virial EOS and statistical thermodynamics. The proposed alpha functions, coupled with a nanoscale-extended EOS, are validated for a general use and be accurate to calculate the phase and thermodynamic properties of a wide variety of components in bulk phase and nanopores.
Increasing attention has been paid to anaerobic ammonium oxidation (anammox) in river ecosystems due to their special role in the global nitrogen cycle from land to the ocean. This study have revealed the spatial patterns of anammox bacterial response to geographic characteristics and dam operation along the Yangtze River, using N-15 tracers and molecular analyses of microbial communities in sediment samples over a 4300 km continuum. Here we found a significant temperature-related increase in anammox bacterial abundance and alpha diversity from mountainous area in the upper, fluvial plain area in the middle and lower reach, to the river mouth. In contrast, an opposite trend in anammox contribution to N-2 production (ra) was observed down the Yangtze River due to enhanced denitrification induced by spatial heterogeneity of total organic carbon. Interestingly, the Three Gorges Dam resulted in an intensive erosion and thus a change from muddy to sandy sediments within 400 km downstream the dam, which readjusted the anammox community characterized with a decreased bacterial diversity and enhanced anammox contribution to nitrogen loss. Our study highlights the importance of natural and anthropogenic impacts on anammox bacterial community and function in a complex large river ecosystem. (c) 2019 Published by Elsevier B.V.
ABSTRACT Argumentation, the act of defending one's inherent knowledge or views through speech expression, is a kind of widespread information expression and communication behavior. In this poster, we aim to explore the characteristics and patterns of argumentation in social media to examine basic rules the patterns follow by conducting content analysis of the transcript of a WeChat Group Chat. We build a theoretical model of argumentation behavior in mobile social media using the inductive coding and find that social media has a great influence on argumentation.
This paper investigates the applicability of a thick-oxide transistor from the 22FDX® for 5G NR sub-6 GHz front-end modules. Characterization and evaluation of the GlobalFoundries's FDSOI n-MOSFET regarding RF front-end figure-of-merits, such as output power, efficiency and linearity are discussed. Load-pull measurements are performed to extract the optimal performance. The test transistor delivers saturation power of +5.0 dBm and more than 65% of PAE while maintaining flat transducer gain of 10.2 ± 0.2 dB across the targeted frequency range for a 1.5 V single-ended class AB operation. Besides, the low PAE roll-off in term of reducing supply voltage and the particular 60% PAE at 10 dB output back-off indicate that the DUTs are well suitable for envelope tracking applications. Additional reliability tests at strong compression levels are conducted from which low performance degradation over time is observed even at 9 dB output compression.
The airborne occurrence, isomer profiles, and phase distribution of perfluoroalkyl acids (PFAAs), including perfluoroalkyl carboxylates (PFCAs) and sulfonates (PFSAs), have received little scientific attention to date. Here we collected gaseous and particulate phase (PM2.5) samples in China, between June and November 2013, using alkalized annular denuders and downstream filters toavoid sampling artefacts associated with traditional air sampling. We analysed the concentrations of 18 linear PFAAs and the branched isomers of perfluorooctanoate (PFOA) and perfluorooctane sulfonate (PFOS). Concentra- tions of total PFAAs were dominated by PFCAs, with a range of 6.6e610 pg/m3 in the gaseous phase and 2.3e290 pg/m3 in the particulate phase. Concentrations of total PFCAs were higher in summer than winter in both phases. Branched PFOA isomers accounted for 10e22% of total PFOA in the gaseous phase and 13e24% in the particulate phase, which is close to, but slightly lower than, their abundance in the commercial PFOA mixtures manufactured using the electrochemical fluorination (ECF) process. In con- tract, branched PFOS isomers accounted for 26-63% of total PFOS in the gaseous phase and 39-77% in the particulate phase, which is much higher than their abundance in commercial PFOS mixtures manufac- tured by ECF. Most PFCAs had mean particle-associated fractions (F) higher than 0.5. PFHxS had a much higher mean F (0.65) than linear PFOS (0.31). We hypothesise that PFAAs observed in Beijing air may originate from the local water bodies through processes such as aerosol generation, although trans- formation of precursors also contribute.
