Multi-Modality Multi-Scale Cardiovascular Disease Subtypes Classification Using Raman Image and Medical History

Raman spectroscopy (RS) has been widely used for disease diagnosis, e.g., cardiovascular disease (CVD), owing to its efficiency and component-specific testing capabilities. A series of popular deep learning methods have recently been introduced to learn nuance features from RS for binary classifications and achieved outstanding performance than conventional machine learning methods. However, these existing deep learning methods still confront some challenges in classifying subtypes of CVD. For example, the nuance between subtypes is quite hard to capture and represent by intelligent models due to the chillingly similar shape of RS sequences. Moreover, medical history information is an essential resource for distinguishing subtypes, but they are underutilized. In light of this, we propose a multi-modality multi-scale model called M3S, which is a novel deep learning method with two core modules to address these issues. First, we convert RS data to various resolution images by the Gramian angular field (GAF) to enlarge nuance, and a two-branch structure is leveraged to get embeddings for distinction in the multi-scale feature extraction module. Second, a probability matrix and a weight matrix are used to enhance the classification capacity by combining the RS and medical history data in the multi-modality data fusion module. We perform extensive evaluations of M3S and found its outstanding performance on our in-house dataset, with accuracy, precision, recall, specificity, and F1 score of 0.9330, 0.9379, 0.9291, 0.9752, and 0.9334, respectively. These results demonstrate that the M3S has high performance and robustness compared with popular methods in diagnosing CVD subtypes

Does High-Speed Railway Promote High-Quality Development of Enterprises? Evidence from China’s Listed Companies

The high-quality development of enterprises is the micro-foundation of China’s economic growth model from “speed and scale” to “quality and efficiency,” in which China’s transportation infrastructure, especially the high-speed railways (HSRs), plays an indispensable role. We select the propensity score matching and difference in difference (PSM-DID) model as the identification strategy and empirically analyze the impact of the HSR on the high-quality development of enterprises based on empirical data of 1331 A-share listed companies in China. The results show that the HSR has a significant positive impact on the high-quality development of enterprises. This effect is more substantial for enterprises in the Pearl River Delta, the Triangle of Central China, and small and medium-sized cities. The HSR inhibited the high-quality development of enterprises in the mining, culture, sports, and entertainment industries in eastern and central China. The reason is the restriction of the ability to create social and environmental value and the influence of monopolistic competition. The HSR improves labor mobility, capital expansion, and knowledge spillovers, thereby promoting the high-quality development of enterprises. However, new infrastructure mainly improves the high-quality development of enterprises by promoting knowledge spillovers and technological innovation. This paper contributes to the modernization of China’s HSR network and provides essential insights for the HSR to achieve sustainable development goals

Impact of plug-in hybrid electric vehicles on power systems with demand response and wind power

This paper uses a new unit commitment model which can simulate the interactions among plug-in hybrid electric vehicles (PHEVs), wind power, and demand response (DR). Four PHEV charging scenarios are simulated for the Illinois power system: (1) unconstrained charging, (2) 3-hour delayed constrained charging, (3) smart charging, and (4) smart charging with DR. The PHEV charging is assumed to be optimally controlled by the system operator in the latter two scenarios, along with load shifting and shaving enabled by DR programs. The simulation results show that optimally dispatching the PHEV charging load can significantly reduce the total operating cost of the system. With DR programs in place, the operating cost can be further reduced.Plug-in hybrid electric vehicles Wind power Demand response

Does China’s Pilot Carbon Market Cause Carbon Leakage? New Evidence from the Chemical, Building Material, and Metal Industries

The carbon market is an effective market for reducing greenhouse gas emissions; however, the existence of carbon leakage affects the emissions reduction effect of the carbon market. Using the multiregional input–output (MRIO) model and the difference-in-differences (DID) methodology, this study examined whether the chemical, building materials, or metals industries in China’s pilot carbon market have caused carbon leakage, the extent of the carbon leakage, and the areas to which the industries with carbon leakage have transferred their carbon emissions. The results showed that the pilot carbon market caused carbon leakage in the chemical, building materials, and metal industries. The building materials industry had the most serious carbon leakage, followed by the chemical industry, and the metal industry was the weakest. In addition, regardless of the industry, most of the areas affected by carbon leakage were concentrated in regions with relatively backward economic development and weak in-place environmental regulations, such as in the central and western regions. Compared with the other pilot areas, Guangdong was the area most likely to be affected by carbon leakage from other pilot areas. This study provides new evidence for the existence of carbon leakage in China’s pilot carbon market from an industrial perspective

Estimating the value of a statistical life in China: A contingent valuation study in six representative cities

The value of a statistical life (VSL) is a crucial tool for monetizing health impacts. To explore the VSL in China, this study examines people’s willingness to pay (WTP) to reduce death risk from air pollution in six representative cities in China based on face-to-face contingent valuation interviews (n = 3 936) from March 7, 2019 to September 30, 2019. The results reveal that the WTP varied from CNY 455 to 763 in 2019 (USD 66–111), corresponding to a VSL range of CNY 3.79–6.36 million (USD 549 395–921 940). The VSL in China in 2019 is estimated to be CNY 4.76 million (USD 689 659). The statistics indicate that monthly expenditure levels, environmental concerns, risk attitudes, and assumed market acceptance, which have seldom been discussed in previous studies, significantly impact WTP and VSL. These findings will serve as a reference for analyzing mortality risk reduction benefits in future research and for policymaking

Research on Adaptability Evaluation Method of Polymer by Nuclear Magnetic Resonance Technology

In order to study the matching relationship between polymer(HPAM) molecular weight and reservoir permeability, in this paper, the injection performance of polymers with different molecular weights in rock cores with different permeability is studied. Using nuclear magnetic resonance technology combined with conventional core displacement equipment, the change law of the displacement process was analyzed from three aspects of nuclear magnetic resonance T2 spectrum, core layering, and imaging. Finally, the fluidity of the polymer solution in the core was analyzed by injection pressure control features. The experimental results show that the polymer solution with a molecular weight of 25 million has the best retention effect in the core flooding experiment and can stay in the dominant channel of the core for a long time to control the water flooding mobility. In rocks with a permeability of 500, 1000, and 2000 mD, subsequent water flooding can expand the swept volume by about 25% compared with polymer flooding. This method can effectively establish the adaptability matching relationship between the polymer molecular weight and the reservoir permeability

Technical and Market Integration of Hydroelectric Energy (semester?), IPRO 343: Integration of Hydroelectric Energy IPRO 343 Poster F06

The objectives are to design a small hydroelectric power plant on an existing low head dam on Fox River and investigate and evaluate the technical and market integration issues of the new hydro-electrical energy into the current power grid.Sponsorship: Alexander TsengDeliverables for IPRO 343: Technical and Market Integration of Hydroelectric Energy for the Fall 2006 semeste

Technical and Market Integration of Hydroelectric Energy (semester?), IPRO 343: Integration of Hydroelectric Energy IPRO 343 Abstract F06

The objectives are to design a small hydroelectric power plant on an existing low head dam on Fox River and investigate and evaluate the technical and market integration issues of the new hydro-electrical energy into the current power grid.Sponsorship: Alexander TsengDeliverables for IPRO 343: Technical and Market Integration of Hydroelectric Energy for the Fall 2006 semeste

Technical and Market Integration of Hydroelectric Energy (semester?), IPRO 343: Integration of Hydroelectric Energy IPRO 343 Midterm Report F06

The objectives are to design a small hydroelectric power plant on an existing low head dam on Fox River and investigate and evaluate the technical and market integration issues of the new hydro-electrical energy into the current power grid.Sponsorship: Alexander TsengDeliverables for IPRO 343: Technical and Market Integration of Hydroelectric Energy for the Fall 2006 semeste