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Energy efficiency (EE) is an important strategy for China to save energy and reduce energy-related emissions. With significant regional diversities in China, it is important to conduct the EE assessment at the regional level. Usually, the regional EE assessment is applied to 30 regions in Mainland China using the data envelopment analysis (DEA) technique. With the "Belt and Road" strategy initiated by the Chinese government, it is reasonable and necessary to take Hong Kong, Macao, and Taiwan into consideration. However, such data expansion for China's regional EE assessment using DEA can reverse the relative rankings of some decision-making units, which is called the "rank reversal" phenomenon. In this paper, we illustrate in theory that rank reversal occurs in general DEA models, and apply the most popular five DEA models to assess China's regional energy efficiency from 2000 to 2014. The empirical study shows that the 30 regions in Mainland China have the least rank reversal when Tone's slack-based model (SBMT) is adopted. The main cause of ranking reversal is the addition of decision-making units lying on production frontier. Better understanding of the rank reversal phenomenon is critical for the energy efficiency assessment using DEA to inform the policy makings. [ABSTRACT FROM AUTHOR]

The use of data envelopment analysis (DEA) in China’s regional energy efficiency and carbon emission efficiency (EE&CE) assessment has received increasing attention in recent years. This paper conducted a comprehensive survey of empirical studies published in 2006–2015 on China’s regional EE&CE assessment using DEA-type models. The main features used in previous studies were identified, and then the methodological framework for deriving the EE&CE indicators as well as six widely used DEA models were introduced. These DEA models were compared and applied to measure China’s regional EE&CE in 30 provinces/regions between 1995 and 2012. The empirical study indicates that China’s regional EE&CE remained stable in the 9th Five Year Plan (1996–2000), then decreased in the 10th Five Year Plan (2000–2005), and increased a bit in the 11th Five Year Plan (2006–2010). The east region of China had the highest EE&CE while the central area had the lowest. By way of conclusion, some useful points relating to model selection are summarized from both methodological and empirical aspects. [ABSTRACT FROM AUTHOR]

Abstract: Background: Nilotinib, an oral second-generation Bcr-Abi tyrosine kinase inhibitor, is approved in the United States and European Union for the treatment of Philadelphia chromosome-positive (Ph+), chronic-phase (CP) or accelerated-phase (AP) chronic myeloid leukemia (CML) resistant to or intolerant of prior therapy, including imatinib. Information on the pharmacokinetics of nilotinib in Chinese patients with CML is lacking, and regulatory requirements for registration of this drug are needed in China. Objectives: This study assessed the pharmacokinet-ics of single and multiple oral doses of nilotinib in Chinese patients with CML and compared the pharmacokinetic profiles of nilotinib between the Chinese patients and a subgroup of white patients with CML. Methods: Chinese patients aged ≥18 years with Ph+ CML-CP, CML-AP, or CML-BC (blast crisis) resistant to or intolerant of imatinib were eligible. Patients were administered oral nilotinib 400 mg BID for 15 days. Serial blood samples were collected before and at 1, 2, 3, 5, 8, and 12 hours after the administration of a single dose (day 1) and multiple doses (day 15, steady state). Serum nilotinib concentrations were determined using a validated liquid chromatography-tandem mass spectrometry assay, and pharmacokinetic parameters of nilotinib were calculated using a noncompartmental method. Tolerability was assessed using cardiac assessments; laboratory analysis (hematology, blood chemistry, and urinalysis); and physical examination, including vital signs. Results: Twenty-three patients were enrolled (18 men, 5 women; mean age, 40.0 years; mean weight, 68.3 kg; CML-CP, 22 patients; CML-AP, 1). All 23 patients were included in the tolerability analysis. Two patients withdrew consent and discontinued after administration of the first dose; thus, 21 patients were included in the pharmacokinetic analysis. Median Tmax was ~2 hours after administration of single and multiple doses. At steady state, Cmin was 1025.4 ng/mL and Cmax was 2160.7 ng/mL. Mean AUCs from time 0 to the end of the dosing interval τ (AUC0-τ) were 5076.3 and 17,751.3 ng · h/mL at days 1 and 15, respectively, representing an accumulation factor of 3.92. Apparent oral clearance (CL/F) was 0.39 L/h/kg (range, 0.12–0.74 L/h/ kg) at steady state. The study found a 42% intersubject variability in nilotinib pharmacokinetics. Steady-state Cmax, Cmin, AUC0-τ, and CL/F were not significantly different from those previously reported in a subgroup of white patients with CML who received the same 400-mg BID dose. Rash (11/23 patients [47.8%]) and elevated bilirubin, headache, and muscle pain (4 patients each [17.4%]) were the most frequently reported nonhematologic adverse events. Conclusions: In this pharmacokinetic study in Chinese patients with CML resistant to or intolerant of imatinib, nilotinib 400 mg BID was rapidly absorbed after a single dose and multiple doses. The steady-state pharmacokinetic properties in this population were consistent with those reported previously in white patients with CML. [Copyright &y& Elsevier]

An integrated approach is proposed in this paper to incorporate the group heterogeneity into the framework of natural disposability and managerial disposability, which allows evaluating the CO 2 emission performance under different mitigation strategies (scale-oriented strategy and innovation-oriented strategy). It is able to deal with the intertemporal incomparability when adopting a global technology. In the empirical study, we categorized China's 27 manufacturing sectors into five groups and evaluated their emission performance under different mitigation strategies during 2003–2016. According to the empirical results, we found that there is still much potential (about 70%–80%) for improving the CO 2 emission performance considering the entire manufacturing industry. From the perspective of different groups, the global technologies/innovators group shows the highest emission efficiency, while the energy-/resource-intensive commodities' group performed the worst. Besides, different sectors showed significant technology heterogeneity. Finally, the desirable CO 2 mitigation strategies varied with the different groups. For the labor-intensive tradables' group, we found that the desirable strategy is to decrease the input of energy and other production factors, i.e. scale-oriented strategy. For the regional processing group, the innovation-oriented strategy is more efficient. • Modified global meta-frontier non-radial DDF approach is proposed. • Group heterogeneity is incorporated in natural/managerial disposability framework. • CO 2 emissions performance for China's manufacturing sectors is measured. • Global technologies/innovators group performs best, while energy-/resource-intensive commodities group performs worst. • Desirable mitigation strategies varies with respect to technology heterogeneity of different groups. [ABSTRACT FROM AUTHOR]

The assessment of carbon emissions efficiency and abatement cost is crucial to formulate environmental policies. We focus on this issue based on the consideration that different regions have alternative mitigation strategies, which be defined as "natural strategy" and "managerial strategy" in this study. In order to realize this, we develop a directional distance function (DDF) model under natural and managerial disposability to assess the carbon emission efficiency of China's 29 regions from the 9th to 12th Five-Year Plan. Then the nonparametric method is applied to estimate directional distance function and evaluate the carbon abatement cost. The empirical results indicate that, comparing with our approach, traditional method may overestimate efficiency and underestimate abatement cost. Besides, China's carbon emissions efficiency remains relatively stable from the 9th to 12th Five-Year Plan, and can be improved by at least 25%. In terms of abatement cost, the value under high regulation for most regions are higher than that under low regulation, which is 246 yuan/ton and 224 yuan/ton respectively, and shows a declined trend. Moreover, given the large gaps on abatement costs between different Chinese regions, it is necessary and possible for establishing a regional emissions trading system at national level. • DDF model under natural & managerial disposability is proposed. • The impact of inter-region differentiated mitigation strategies is considered. • Traditional method may overestimate efficiency and underestimate abatement cost. • China's carbon emissions efficiency can be improved by at least 25%. • China's carbon abatement cost shows a declined trend. [ABSTRACT FROM AUTHOR]

Facing the pressure of environment, sustainable development is the demand of the current construction industry development. Prefabricated construction technologies has been actively promoted in China. Cost has always been one of the important factors in the development of prefabricated buildings. The hidden cost of prefabricated buildings has a great impact on the total cost of the project, and it exists in the whole process of building construction. In this paper innovatively studies the cost of prefabricated buildings from the perspective of hidden cost. In order to analysis the hidden cost of prefabricated buildings, the influencing factor index system in terms of design, management, technology, policy and environment has been established, which includes 13 factors in total. And the hidden cost analysis model has been proposed based on FISM-BN, this model combines fuzzy interpretive structure model(FISM) with Bayesian network(BN). This model can comprehensively analyze the hidden cost through the combination of qualitative and quantitative methods. And the analysis process is dynamic, not fixed at a certain point in time to analyze the cost. We can get the internal logical relationship among the influencing factors of the hidden cost, and present it in the form of intuitive chart by FISM-BN. Furthermore the model could not only predict the probability of the hidden cost of prefabricated buildings and realize in-time control through causal reasoning, but also predict the posterior probability of other influencing factors through diagnostic reasoning when the hidden cost occurs and find out the key factors that lead to the hidden cost. Then the final influencing factors are determined after one by one check. Finally, the model is demonstrated on the hidden cost analysis of prefabricated buildings the probability of recessive cost is 26%. In the analysis and control of the hidden cost of prefabricated buildings, scientific and effective decision-making and reference opinions are provided for managers. [ABSTRACT FROM AUTHOR]

The recent Russia-Ukraine war has reignited the world's biggest energy crisis in decades. As an important pillar of energy security, system resilience has attracted much attention. Previous research has focused on conception, composition and measurement. Few captured the dynamic features of resilience process of energy systems. In this paper, an input-output nested system dynamics (IO-SD) model is proposed to study the resilience of natural gas systems in a crisis. As a special feature, the model captures both inter-sectoral linkages and dynamic transmission of the crisis. The study highlighted and analyzed the role of emergency measures such as the release of stockpiles and emergency supplies. Later, the resilience performance of China gas system in 2017-crisis was examined in various aspects, e.g., economic loss and efficiency of emergency measures. We find that strategic storage could be beneficial to the resilience of NG systems. But expanding the storage size in isolation is not enough. Two key measures to enhance the resilience of the system are: (1) increasing the flexibility and operational efficiency of emergency facilities, e.g., storage releasing capability and gasification efficiency; and (2) building efficient infrastructure and services, enhancing connectivity of storage infrastructure and supply networks, and removing bottlenecks in regional interconnection. • Resilience plays an increasing important role in securing natural gas security. • The proposed resilience framework considers both restoring and economic performance. • The IO-SD model captures dynamic feature and intersection relations of gas system. • Enhance storage releasing rate can improve China gas system resilience effectively. • Strengthen connectivity of infrastructure can improve system resilience effectively. [ABSTRACT FROM AUTHOR]

Mixed phenotype acute leukemia (MPAL) is a complex entity expressing both lymphoid and myeloid immunophenotyping. In the present study, 47 MPAL, 60 lymphoid antigen-positive acute myeloid leukemia (Ly+AML), and 90 acute myeloid leukemia with common myeloid immunophenotype (Ly−AML) patients were investigated. We found that, in MPAL patients, there were high proportions of blast cells in bone marrow and incidence of hepatosplenomegaly, lymphadenopathy, and Philadelphia chromosome. The overall survival (OS) and relapse-free survival (RFS) in MPAL patients were significantly shorter than those in Ly+AML and Ly−AML. With regard to the patients with normal karyotype only, the OS and RFS of MPAL were significantly lower than those of the Ly+AML and Ly−AML; but there were no significant differences in OS and RFS among the patients with complex karyotype. The OS rates of 3 groups with complex karyotype were lower than those of patients with normal karyotype. In Cox multivariate analysis, complex karyotype was an independent pejorative factor for both OS and RFS. Therefore, MPAL is confirmed to be a poor-risk disease while Ly+AML does not impact prognosis. Complex karyotype is an unfavorable prognosis factor in AML patients with different immunophenotype. Mixed immunophenotype and complex karyotype increase the adverse risk when they coexist. [ABSTRACT FROM AUTHOR]