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This paper explores the relationship between research and development (R&D) intensity and circular supply chain management (CSCM) adoption of high-tech manufacturing companies in China to deepen our understanding of how to improve CSCM adoption in emerging economies. In particular, we examine the moderating effect of three kinds of institutional pressures (i.e., regulatory pressure from governmental regulations, mimetic pressure from industry competition, and normative pressure from overseas customer demand) from the perspective of institutional theory. Based on the panel data of 310 Chinese listed companies from 2006 to 2019, we find that R&D intensity positively affects firms' CSCM adoption. We further observe that this positive effect is strengthened when the ratio of state-owned shares or the degree of industry competition is higher. However, overseas operating income does not affect the impact of R&D intensity on CSCM adoption. Our study contributes to the literature on the innovation – circular economy debate, confirming the positive effect of R&D intensity on firms' CSCM adoption, and provides insights into moderating effects on this relationship in an emerging economy context.

This is the author accepted manuscript. The final version is available from Elsevier via the DOI in this record ; This paper develops a sliding mode fault tolerant control scheme based on a Linear Parameter Varying (LPV) system representation of the plant. The scheme includes a control allocation component, which is capable of utilizing the available healthy actuators in the face of actuator faults/failures, in an effort to retain close to nominal fault free performance. The proposed scheme is validated using the Japan Aerospace Exploration Agency's Multi-Purpose Aviation Laboratory (MuPALα) research aircraft. The flight test results demonstrate good lateral-directional state tracking performance with no visible performance degradation in the presence of rudder and aileron faults. ; European Union Horizon 2020 ; Japan New Energy and Industrial Technology Development Organization

Abstract. This study applied the two-dimensional AdH (adaptive hydraulics) hydrodynamic model to a river reach to analyze flood hydraulics on complex floodplains. Using the AdH model combined with bathymetry and topographic data from the United States Geological Survey (USGS) seamless server and the United States Army Corps of Engineers (USACE), we intended to examine the interactions between the channel and floodplain of a 10 km stretch at McCarran Ranch, which is located at the lower Truckee River in Nevada. After calibrating the model, we tested the dependence of the modeling results on mesh density, input parameters, and time steps and compared the modeling results to the existing gauged data (both the discharge and water stage heights). Results show that the accuracy of prediction from the AdH model may decline slightly at higher discharges and water levels. The modeling results are more sensitive to the roughness coefficient of the main channel, which suggests that the model calibration should give priority to the main channel roughness. A detailed analysis of the floodwater dynamics was then conducted using the modeling approach to examine the hydraulic linkage between the main channel and floodplains. We found that large flood events could lead to a significantly higher proportion of total flow being routed through the floodplains. During peak discharges, a river channel diverted as much as 65 % of the total discharge into the floodplain. During the periods of overbank flow, the transboundary flux ratio was approximately 5 to 45 % of the total river discharge, which indicates substantial exchange between the main channel and floodplains. The results also showed that both the relations of the inundation area and volume versus the discharge exhibit an apparent looped curve form, which suggests that flood routing has an areal hysteresis effect on floodplains.

Abstract. Most studies on the correlations between earthquakes and solid tides mainly concluded the syzygies (i.e. new or full moons) of each lunar cycle have more earthquakes than other days in the month. We show a correlation between the aftershock sequence of the ML = 6.3 Christchurch, New Zealand, earthquake and the diurnal solid tide. Ms ≥ 7 earthquakes worldwide since 1900 are more likely to occur during the 0°, 90°, 180° or 270° phases (i.e. earthquake-prone phases) of the semidiurnal solid earth tidal curve (M2). Thus, the semidiurnal solid tides triggers earthquakes. However, the long-term triggering effect of the lunar periodicity is uncertain. This proposal is helpful in defining possible origin times of aftershocks several days after a mainshock and can be used for warning of subsequent larger shocks.

This paper presents a multiscale integrated analysis comparing changes in the energy metabolic pattern of China and the European Union between 2000 and 2016. The MuSIASEM method is used to explore and illustrate the entanglement over different factors, across dimensions and levels of analysis. Demographic factors observed at the level of the whole are linked to changes in the economic structure, the pattern of energy uses and the level of outsourcing (imports). When analyzing these issues for the selected case studies we found that: (i) due to their lower dependency ratio and higher workloads China presents now about 1260 h in paid work per capita, while the EU presents just 720; (ii) economic structure in China evolved rapidly moving almost 300 h per capita per year from agriculture to service, construction and industrial sectors, while it remained quite stable in the EU; (iii) the metabolic pattern of China changed dramatically by expanding its capital goods in all sectors (almost 4 times in agriculture and more than doubling in industry and services) while the EU just increased them around 10%. The quick industrialization of China (going from 20 to 60 MJ/h in paid work sector) required an extraordinary investment in the construction sector, which arrived to allocate almost 3 times more workforce and 5 times more cement per capita than the EU (already industrialized). The simultaneous reading of all these changes confirms known trends and identifies a few challenges. The apparent decoupling of economic growth from resource consumption in the EU economy is due to the outsourcing of industrial production (identified and quantified at the level of subsectors). The trajectory of economic development of China, still in the phase of industrialization, spells troubles in terms of future consumption of natural resources and pollution. The metabolic perspective used in the comparison enables to identify policy-relevant factors determining both temporary comparative advantages and dangerous locks-in. On the ...

The file associated with this record is under embargo until 12 months after publication, in accordance with the publisher's self-archiving policy. The full text may be available through the publisher links provided above. ; Person re-identification aims at matching individuals across multiple camera views under surveillance systems. The major challenges lie in the lack of spatial and temporal cues, which makes it difficult to cope with large variations of lighting conditions, viewing angles, body poses and occlusions. How to extract multimodal features including facial features, physical features, behavioral features, color features, etc is still a fundamental problem in person re-identification. In this paper, we propose a novel Convolutional Neural Network, called Asymmetric Filtering-based Dense Convolutional Neural Network (AF D-CNN) to learn powerful features, which can extract different levels' features and take advantage of identity information. Moreover, instead of using typical metric learning methods, we obtain the ranking lists by merging Joint Bayesian and re-ranking techniques which do not need dimensionality reduction. Finally, extensive experiments show that our proposed architecture performs well on four popular benchmark datasets (CUHK01, CUHK03, Market-1501, DukeMTMC-reID). ; This work is supported by the National Natural Science Foundation of China (NSFC) Grants U1706218, 61602229, 41606198, 61501417 and 41706010, Natural Science Foundation of Shandong Provincial ZR2016FM13, ZR2016FB02. H. Zhou was supported in part by the European Union's Horizon 2020 research and innovation program under the Marie-Sklodowska-Curie grant agreement No 720325 FoodSmartphone, the UK EPSRC under Grant EP/N011074/1 and the Royal Society-Newton Advanced Fellowship under Grant NA160342. ; Peer-reviewed ; Post-print

Epidemiologic and health impact studies have examined the chemical composition of ambient PM 2.5 in China but have been constrained by the paucity of long-term ground measurements. Using the GEOS-Chem chemical transport model and satellite-derived PM 2.5 data, sulfate and ammonium levels were estimated over China from 2004 to 2014. A comparison of the satellite-estimated dataset with model simulations based on ground measurements obtained from the literature indicated our results are more accurate. Using satellite-derived PM 2.5 data with a spatial resolution of 0.1° × 0.1°, we further presented finer satellite-estimated sulfate and ammonium concentrations in anthropogenic polluted regions, including the NCP (the North China Plain), the SCB (the Sichuan Basin) and the PRD (the Pearl River Delta). Linear regression results obtained on a national scale yielded an r value of 0.62, NMB of −35.9 %, NME of 48.2 %, ARB_50 % of 53.68 % for sulfate and an r value of 0.63, slope of 0.67, and intercept of 5.14 for ammonium. In typical regions, the satellite-derived dataset was significantly robust. Based on the satellite-derived dataset, the spatial-temporal variation of 11-year annual average satellite-derived SO 4 2− and NH 4 + concentrations and time series of monthly average concentrations were also investigated. On a national scale, both exhibited a downward trend each year between 2004 and 2014 (SO 4 2− : −0.61 %; NH 4 + : −0.21 %), large values were mainly concentrated in the NCP and SCB. For regions captured at a finer resolution, the inter-annual variation trends presented a positive trend over the periods 2004–2007 and 2008–2011, followed by a negative trend over the period 2012–2014, and sulfate concentrations varied appreciably. Moreover, the seasonal distributions of the 11-year satellite-derived dataset over China were presented. The distribution of both sulfate and ammonium concentrations exhibited seasonal characteristics, with the seasonal concentrations ranking as follows: winter > summer > autumn > spring. High concentrations of these species were concentrated in the NCP and SCB, originating from coal-fired power plants and agricultural activities, respectively. Efforts to reduce sulfur dioxide (SO 2 ) emissions have yielded remarkable results since the government has adopted stricter control measures in recent years. Moreover, ammonia emissions should be controlled while reducing the concentration of sulfur, nitrogen and particulate matter. This study provides an assessment of the population's exposure to certain chemical components.

Epidemiologic and health impact studies have examined the chemical composition of ambient PM2.5 in China but have been constrained by the paucity of long-term ground measurements. Using the GEOS-Chem chemical transport model and satellite-derived PM2.5 data, sulfate and ammonium levels were estimated over China from 2004 to 2014. A comparison of the satellite-estimated dataset with model simulations based on ground measurements obtained from the literature indicated our results are more accurate. Using satellite-derived PM2.5 data with a spatial resolution of 0.1° × 0.1°, we further presented finer satellite-estimated sulfate and ammonium concentrations in anthropogenic polluted regions, including the NCP (the North China Plain), the SCB (the Sichuan Basin) and the PRD (the Pearl River Delta). Linear regression results obtained on a national scale yielded an r value of 0.62, NMB of −35.9 %, NME of 48.2 %, ARB_50 % of 53.68 % for sulfate and an r value of 0.63, slope of 0.67, and intercept of 5.14 for ammonium. In typical regions, the satellite-derived dataset was significantly robust. Based on the satellite-derived dataset, the spatial-temporal variation of 11-year annual average satellite-derived SO42− and NH4+ concentrations and time series of monthly average concentrations were also investigated. On a national scale, both exhibited a downward trend each year between 2004 and 2014 (SO42−: −0.61 %; NH4+: −0.21 %), large values were mainly concentrated in the NCP and SCB. For regions captured at a finer resolution, the inter-annual variation trends presented a positive trend over the periods 2004–2007 and 2008–2011, followed by a negative trend over the period 2012–2014, and sulfate concentrations varied appreciably. Moreover, the seasonal distributions of the 11-year satellite-derived dataset over China were presented. The distribution of both sulfate and ammonium concentrations exhibited seasonal characteristics, with the seasonal concentrations ranking as follows: winter > summer > autumn > spring. High concentrations of these species were concentrated in the NCP and SCB, originating from coal-fired power plants and agricultural activities, respectively. Efforts to reduce sulfur dioxide (SO2) emissions have yielded remarkable results since the government has adopted stricter control measures in recent years. Moreover, ammonia emissions should be controlled while reducing the concentration of sulfur, nitrogen and particulate matter. This study provides an assessment of the population's exposure to certain chemical components.