Showing papers by "Northeastern University (China) published in 2022"
TL;DR: In this article, the impact of urbanization on the coupling of economic growth and environmental quality is explored, and the authors show that urbanization strengthens the positive correlation between the economy and carbon emissions and ecological footprint.
204 citations
TL;DR: In this article , the impact of urbanization on the coupling of economic growth and environmental quality is explored, and the authors show that urbanization strengthens the positive correlation between the economy and carbon emissions and ecological footprint.
172 citations
TL;DR: Recent developments in dECM scaffolds are reviewed and perspectives accordingly are put forward, with particular focus on the concept and fabrication of decellularized scaffolds, as well as the application of de cellularization scaffolds and their combinations with stem cells in tissue engineering.
142 citations
TL;DR: In this article , the authors reviewed recent developments in decellularized extracellular matrix (dECM) scaffolds and put forward perspectives accordingly, with particular focus on the concept and fabrication of decellulized scaffolds, as well as the application of deCellularized scaffold and their combinations with stem cells in tissue engineering, including skin, bone, nerve, heart, along with lung, liver and kidney.
133 citations
TL;DR: In this paper, the authors explored the relationship between renewable energy consumption and economic growth from new risk-based perspectives, including political risks, financial risks, economic risks and composite risks, and found that renewable energy positively impacts economic development when the first threshold value is exceeded, but not the second.
97 citations
TL;DR: In this paper, an attempt has been made to create curvilinear grooved micro textures on the rear surface of double helical micro end mill with diameter of about 800μm by electrical discharge machining (EDM) method for lowering specific milling energy and forces.
92 citations
TL;DR: In this article, the authors provided a new way to investigate the impact of the COVID-19 pandemic on carbon emissions by calculating the difference between the pandemic-free carbon emissions and the actual carbon emissions in 2020 based on scenario analysis.
90 citations
TL;DR: In this paper , the authors provided a new way to investigate the impact of the COVID-19 pandemic on carbon emissions by calculating the difference between the pandemic-free carbon emissions and the actual carbon emissions in 2020 based on scenario analysis.
Abstract: Existing studies on the impact of the COVID-19 pandemic on carbon emissions are mainly based on inter-annual change rate of carbon emissions. This study provided a new way to investigate the impact of the pandemic on carbon emissions by calculating the difference between the pandemic-free carbon emissions and the actual carbon emissions in 2020 based on scenario analysis. In this work, derived from Autoregressive Integrated Moving Average (ARIMA) method and Back Propagation Neural Network (BPNN) method, two combined ARIMA-BPNN and BPNN-ARIMA simulation approaches were developed to simulate the carbon emissions of China, India, U.S. and EU under the pandemic-free scenario. The average relative error of the simulation was about 1%, which could provide reliable simulation results. The scenario simulation of carbon emission reduction in the US and EU were almost the same as the inter-annual change rate of carbon emissions reported by the existing statistics. However, the scenario simulation of carbon emission reduction in China and India is 5% larger than the inter-annual change rate of carbon emissions reported by the existing statistics. In some sense, the impact of the pandemic on carbon emission reduction in developing countries might be underestimated. This work would provide new sight to more comprehensive understanding of the impact of the pandemic on carbon emissions.
89 citations
TL;DR: In this article , the authors explored the relationship between renewable energy consumption and economic growth from new risk-based perspectives, including political risks, financial risks, economic risks and composite risks, and found that renewable energy positively impacts economic development when the first threshold value is exceeded, but not the second.
81 citations
TL;DR: In this paper, the performance of ternary composites for the degradation of berberine hydrochloride under visible light illumination has been investigated using the Toxicity Estimation Software Tool (TEST) and quantitative structure activity relationship calculations (QSAR).
Abstract: Development of low-cost, high-performance photocatalysts for the effective degradation of antibiotics in wastewater is critical for environmental remediation. In this work, titanium dioxide/zirconium dioxide/graphitic carbon nitride (TiO2/ZrO2/g-C3N4) ternary composites are fabricated via a facile hydrothermal procedure, and photocatalytically active towards the degradation of berberine hydrochloride under visible light illumination. The performance is found to increase with the Ti:Zr atomic ratio in the nanocomposites, and obviously enhanced in comparison to that of the binary TiO2/g-C3N4 counterpart, due to the formation of type I/II heterojunctions that help separate the photogenerated electron-hole pairs and produce superoxide and hydroxy radicals. The mechanistic pathways are unraveled by a deliberate integration of liquid chromatography-mass spectrometry measurements with theoretical calculations of the condensed Fukui index. Furthermore, the ecotoxicity of the reaction intermediates is examined by utilizing the Toxicity Estimation Software Tool (TEST) and quantitative structure activity relationship calculations (QSAR).
69 citations
TL;DR: In this paper, the current challenges and strategies for zinc metal anodes are presented, and recent advances in surface modification strategies to improve their electrochemical performance are concluded and discussed, as well as challenges and prospects for future development of Zn-ion batteries.
TL;DR: In this article, a dynamic panel threshold regression model is employed to explore the effects of official development assistance (ODA) and carbon emissions in 59 low-income and lower-middle-income countries.
TL;DR: In this article , the current challenges and strategies for zinc metal anodes are presented, and recent advances in surface modification strategies to improve their electrochemical performance are concluded and discussed, as well as challenges and prospects for future development of Zn-ion batteries.
01 Jan 2022
TL;DR: In this paper , a ternary composites were fabricated via a facile hydrothermal procedure, and photocatalytically active towards the degradation of berberine hydrochloride under visible light illumination.
Abstract: Development of low-cost, high-performance photocatalysts for the effective degradation of antibiotics in wastewater is critical for environmental remediation. In this work, titanium dioxide/zirconium dioxide/graphitic carbon nitride (TiO2/ZrO2/g-C3N4) ternary composites are fabricated via a facile hydrothermal procedure, and photocatalytically active towards the degradation of berberine hydrochloride under visible light illumination. The performance is found to increase with the Ti:Zr atomic ratio in the nanocomposites, and obviously enhanced in comparison to that of the binary TiO2/g-C3N4 counterpart, due to the formation of type I/II heterojunctions that help separate the photogenerated electron-hole pairs and produce superoxide and hydroxy radicals. The mechanistic pathways are unraveled by a deliberate integration of liquid chromatography-mass spectrometry measurements with theoretical calculations of the condensed Fukui index. Furthermore, the ecotoxicity of the reaction intermediates is examined by utilizing the Toxicity Estimation Software Tool (TEST) and quantitative structure activity relationship calculations (QSAR).
TL;DR: In this paper , a dynamic panel threshold regression model is employed to explore the effects of official development assistance (ODA) and carbon emissions in 59 low-income and lower-middle-income countries.
TL;DR: A distributed robust economic dispatch strategy is presented to achieve the energy management of IESs in the presence of misbehaving units, which consists of a neighbor-observe-based detection process and a reputation-based isolation process that possesses strong robustness against various colluding and noncolluding attacks.
Abstract: Distributed algorithms are increasingly being used to solve the economic dispatch problem of integrated energy systems (IESs) because of their high flexibility and strong robustness, but those algorithms also bring more risk of cyber-attacks in IESs. To solve this problem, this article investigates the distributed robust economic dispatch problem of IESs under cyber-attacks. First, as the first line of defense against attacks, a privacy-preserving protocol is designed for covering up some vital information used for economic dispatch of IESs. On this basis, a distributed robust economic dispatch strategy is presented to achieve the energy management of IESs in the presence of misbehaving units, which consists of a neighbor-observe-based detection process and a reputation-based isolation process. The proposed strategy is implemented in a fully distributed fashion and possesses strong robustness against various colluding and noncolluding attacks. In addition, the strategy can not only ensure the reliability of information transmission among energy units, but also solve the problem of incorrect measurement of distributed local load data caused by cyber-attacks. Finally, the effectiveness of the proposed strategy is illustrated by simulation cases on a 39-bus 32-node power–heat IES.
TL;DR: In this paper , a Co-based MOF matrix composites with controlled reduction selectivity in the general understanding of the CO2 reduction reaction (CO2RR) in electro-and photocatalytic process is presented.
TL;DR: In this paper, the influence of Ce addition on the solidification structure and σ phase of super austenitic stainless steel S32654 was systematically investigated via microstructural characterization and thermodynamic calculation.
TL;DR: An event-triggered distributed hybrid control scheme is proposed to achieve security and economic operation for the IES using the equal incremental principle to achieve the minimal economic cost for each EH with considering energy prices.
Abstract: For the integrated energy system (IES) formed by a cluster of energy hubs (EHs), the outputs of EHs and system parameters, which greatly influence the security performance, should be properly adjusted. In this article, an event-triggered distributed hybrid control scheme is proposed to achieve security and economic operation for the IES. First, the EH output control is designed based on the features of energy networks as well as the containment and consensus algorithms. According to the control of outputs, the electricity and heat load power can be accurately shared without knowing the network parameters. Second, the pressure is bounded within an acceptable range, and the frequency is reverted to the reference value by implementing the proposed control method. Third, an event-triggered communication strategy is employed to design the corresponding protocols, resulting in reduced communication cost. Finally, the control of devices based on the equal incremental principle is proposed to achieve the minimal economic cost for each EH with considering energy prices. The results of numerical case studies are presented to validate the performance of the proposed control method.
TL;DR: In this paper , the period of triangular wave is changed to explore the optimal temperature range in dynamic interval temperature modulation mode for detecting ethyl alcohol, n-propyl alcohol and isopropyl alcohol.
Abstract: Metal oxide semiconductor (MOS) gas sensors have poor selectivity, especially in volatile organic compounds (VOCs). Dynamic measurement method of gas sensors can bring a potential to resolve this problem. However, it is also a challenge to distinguish homologue gases with the same functional group. In this paper, four alcohol homologue gases were detected by a ZnO gas sensor. The period of triangular wave is changed to explore the optimal temperature range in dynamic interval temperature modulation mode for detecting ethyl alcohol, n-propyl alcohol, isopropyl alcohol and n-butyl alcohol. The experimental results show that only when the low temperature is lower than 180 °C and the high temperature is higher than 460 °C, the unsaturation phenomenon can be solved, so as to realize the qualitative and quantitative analysis of the four alcohol homologue gases. Under this experimental condition, the concentration gradient measurement of 100–400 ppm is carried out. After the optimization with the decision tree classification algorithm, the recognition accuracy of the four alcohol homologue gases is 97.62%.
TL;DR: In this paper, the effect of aging treatment on the microstructure and corrosion behavior of a Fe-18Cr-15Mn-0.66N high-nitrogen stainless steel (HNSS) in 3.5 wt.% NaCl solution was investigated using a series of electrochemical tests, scanning electronic microscopy (SEM), X-ray diffraction (XRD) and Xray photoelectron spectroscopy (XPS).
TL;DR: The ability of the two AIEgens to be activated by MW not only overcomes the limitations of conventional PDT, but also helps to improve existing MW ablation therapy by reducing the MW dose required to achieve the same therapeutic outcome, thus reducing the occurrence of side-effects of MW radiation.
TL;DR: The synthesis of porous and hollow MoO3 (p-h-MoO3) microspheres via the oxidation of MoS2 microsphere templates, which are obtained via self-assembly of Mo S2 nanosheets under hydrothermal conditions are reported.
Abstract: The development of a high-performance sensing material for the detection of ammonia gas is of significant importance due to its wide industrial presence and potential hazard risks In this article, we report the synthesis of porous and hollow MoO3 (p-h-MoO3) microspheres via the oxidation of MoS2 microsphere templates, which are obtained via self-assembly of MoS2 nanosheets under hydrothermal conditions The composition and morphology of the p-h-MoO3 microspheres are systematically characterized via microscopic and spectroscopic techniques, and our sensing tests reveals that p-h-MoO3 possesses ultrahigh responsiveness to ammonia gas, which can be further optimized via the selection of a suitable oxidation temperature and time Additionally, the p-h-MoO3 shows minimal responses to other gaseous molecules, thereby demonstrating significant selectivity toward ammonia The sensing mechanism of p-h-MoO3 toward ammonia is further investigated to identify the origin of its ultrahigh sensitivity and selectivity via X-ray photoelectron spectroscopy and diffuse reflectance Fourier transform infrared spectroscopy
TL;DR: In this article, the period of triangular wave is changed to explore the optimal temperature range in dynamic interval temperature modulation mode for detecting ethyl alcohol, n-propyl alcohol and isopropyl alcohol.
Abstract: Metal oxide semiconductor (MOS) gas sensors have poor selectivity, especially in volatile organic compounds (VOCs). Dynamic measurement method of gas sensors can bring a potential to resolve this problem. However, it is also a challenge to distinguish homologue gases with the same functional group. In this paper, four alcohol homologue gases were detected by a ZnO gas sensor. The period of triangular wave is changed to explore the optimal temperature range in dynamic interval temperature modulation mode for detecting ethyl alcohol, n-propyl alcohol, isopropyl alcohol and n-butyl alcohol. The experimental results show that only when the low temperature is lower than 180 °C and the high temperature is higher than 460 °C, the unsaturation phenomenon can be solved, so as to realize the qualitative and quantitative analysis of the four alcohol homologue gases. Under this experimental condition, the concentration gradient measurement of 100–400 ppm is carried out. After the optimization with the decision tree classification algorithm, the recognition accuracy of the four alcohol homologue gases is 97.62%.
TL;DR: In this article , a porous microdisk with strong polar N-Ti-O covalent bonds was constructed for LiPSs, and the design strategy is to construct abundant polar n-Ti -O bonds at Ti4O7/TiN heterogeneous interface that would realize the associative process of lithium polysulfides adsorption, trapping, and conversion, thereby restraining the shuttle effect efficiently.
TL;DR: In this paper , the precursors of meat-like flavor are summarized followed by a discussion of the reactions and mechanisms responsible for generation of the flavor compounds, and their potential application in the formulation of PBMA is also discussed.
TL;DR: An improved partial similitude approach is presented, which can be used to establish the scaling laws and understand the scaling behaviors of rotor systems, and achieves higher accuracy than the existing methods in predicting the dynamic characteristic of rotor Systems.
TL;DR: In this paper, a porous microdisk with strong polar N-Ti-O covalent bonds was constructed for the host of the sulfur cathode of a LiPSs battery.
01 Mar 2022
TL;DR: In this paper , the influence of Ce addition on the solidification structure and σ phase of super austenitic stainless steel S32654 was systematically investigated via microstructural characterization and thermodynamic calculation.
Abstract: The influence of Ce addition on the solidification structure and σ phase of super austenitic stainless steel S32654 was systematically investigated via microstructural characterization and thermodynamic calculation. The results indicate that a small addition of Ce could modify MgO and MnS into Ce-bearing inclusions Ce2O3 and Ce2O2S. Ce addition led to noticeable refinement of both the dendrite structure and σ phase. The refinement mechanism could be attributed to the combined actions of effective Ce-bearing inclusions and solute Ce. Effective Ce-bearing inclusions could serve as heterogeneous nucleation cores of austenite as well as σ phase, which provided a favorable prerequisite for their refinement. Solute Ce significantly enhanced the undercooling degree of the system, further promoting dendrite structure refinement. Meanwhile, solute Ce improved the eutectic precipitation conditions of σ phase and further promoted its nucleation, while the dendrite refinement limited its growth space. Finally, more fine and dispersed σ phase particles formed in S32654 with Ce addition. The refinement of dendrite structure and σ phase will reduce the temperature and time required for high-temperature homogenization, which is beneficial to the hot working of this steel.
TL;DR: In this article, a solvent-free self-assembly of ordered mesoporosity polymer (N-OMP) for CO2 capture and oxygen reduction reaction (ORR) is reported.