In the presence of several critical issues during data acquisition in industrial-informatics-based applications, like Internet Things (IoT) and smart grid, this article proposes a novel framework based on compressive sensing (CS) cascade chaotic system (CCS). This can ensure low overhead, confidentiality, authentication. Based CS CCS, three technologies, including CCS-driven CS, local perturbation, authentication mechanism, are introduced proposed article. generates measurement matrix with...

Dupilumab has demonstrated remarkable efficacy and safety in clinical trials for moderate-to-severe atopic dermatitis (AD). However, long-term real-world evidence, especially the Chinese population, remains limited.

In this article, we study the impact of trade liberalization, including reductions in both tariff and nontariff barriers, on environmental goods (EGs) exports. Using bilateral data from 20 Asia-Pacific Economic Cooperation members, find that reduction an exporting country has a larger positive its exports EGs than importing country. Our results also show lower barrier increases imports EGs. A considerable amount heterogeneity exists subsample based countries’ income levels.

In China, environmental pollution generated via industrialization as well profound changes in the social structure and gradual maturation of hierarchy have jointly contributed to Chinese people’s increased consciousness appeals for justice (EJ). Because absence an EJ theory a lack empirical research focused on this paper proposes “Pyramid Model” China that includes following three factors: basic demographic socioeconomic characteristics, U.S.-based principles, characteristics. A nationwide...

Few-shot Chain-of-Thought (CoT) prompting has demonstrated strong performance in improving the reasoning capabilities of large language models (LLMs). While theoretical investigations have been conducted to understand CoT, underlying transformer used these studies isolates CoT process into separated in-context learning steps (Stepwise ICL). In this work, we theoretically show that, compared Stepwise ICL, gains better error correction ability and more accurate predictions if from earlier...

This study utilizes panel data drawn from 239 Chinese cities, and it employs fixed-effects models, mediation spatial spillover models to reexamine the actual impact of global value chain’s (GVC) participation on regional economic growth. The findings reveal that this exhibits a U-shaped nonlinear pattern, with turning point GVC occurring at 0.45, which is higher than 222 cities. Most cities are left side curve, corresponds second stage “in-out-in-again” pattern (i.e., “out” stage). During...

With the change in China’s social structure and emergence of middle class, severe environmental pollution is stimulating demand for justice China. Facing absence theory related empirical research China, this article introduces a general equilibrium model justice. It proves that under Pareto efficiency, difficult to achieve competitive market, inequality normal state. An econometric established based on demographic socioeconomic factors, comparison with US principle justice, characteristic...

In China, environmental pollution generated via industrialization as well the profound changes in social structure and gradual maturation of hierarchy have jointly contributed to Chinese people's increased consciousness appeals for justice (EJ). Because absence an EJ theory a lack empirical research focused on this paper proposes ‘Pyramid Model’ China’s that involves following three factors: basic demographic socioeconomic factors, U.S.-based principles,...

This study innovatively develops a multi-objective Markal-Macro model, which simultaneously considers three objectives: minimizing carbon emissions from energy consumption, production processes, and maximizing societal welfare. Based on the Cobb–Douglas function, we construct function of emission use it as coupling equation model (Markal is abbreviation market allocation, Macro macroeconomy). enables endogenous variables those related to By collecting relevant data outputs, key economic...

This paper presents a mode separation method based on sparse Bayesian learning (SBL) for explosive sources in shallow water waveguide. In previous work [Niu et al., JASA, 2021, 4366], the SBL dictionary was constructed by assuming large number of horizontal wavenumbers and utilized an approximate mode-frequency dispersion relation low frequencies. Then, modes were separated frequency domain estimating coefficients atoms. However, challenges inherent to sources, such as bandwidth expansion...

In this research, 30 provinces (municipalities and autonomous regions) in mainland China were selected as research subjects. Inputs elements such coal, oil, natural gas, capital, labor selected, while GDP carbon dioxide emissions each province taken outputs elements, distance function of was derived with the Malmquist index model. Shadow price emission reduction cost CO2 analyzed order to measure environmental economic growth pollution reduction.

Abstract The use of coal is an important part China's energy and source economic development. Due to the need for sustainable development environmental protection, problem uncoordinated transactions between two parties in transaction process has been closely watched by all sectors society. Based on current shortage market transactions, this paper designs a supply demand matching considering carbon emissions from intermediary perspective, aiming at reducing improving efficiency.

China has achieved rapid economic growth and international trade development through integration into global value chains (GVCs). However, also resulted in massive greenhouse gas emissions, aggravating the pressure imposed by climate change. Based on World Input–Output Database, this paper studies imbalances between environmental effects of China’s foreign trade, which are two sides 'trade coin', analyzes related to different production activities traditional GVCs. Multiplicative structural...