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PurposeThe purpose of this paper is to analyse the policy instruments used by the China's Government on prefabricated construction (PC) development, with the aim to clarify the pattern and discover the focus of the policy instruments using the methods of bibliometric analysis and content analysis.Design/methodology/approachThrough a thorough screening by all researchers, 25 policies were identified from 1995 to 2021 were selected and analysed. The external attribute analysis clarified the issuing year, organisation, and the format of each policy. The content analysis was adopted firstly to analyse the policy instrument. An analysis framework including environmental instruments, supply instruments and demand instruments was applied in categorising and counting of each policy instrument. The bibliometric analysis was then carried out to extract keywords of the policy instruments, construct a co-word network and complete the cluster analysis.FindingsThe results indicate that the policies lack consistency and had relatively low authority. The results of content analysis show that the policy system relies heavily on environmental and supply instruments, whilst the use of demand instruments seems to be grossly inadequate. The results of the bibliometric analysis identify the core ideas of each policy instrument category, discuss the existing problems and then put forward the corresponding countermeasures.Research limitations/implicationsThis study comprehensively and systematically analysed the policy instruments on facilitating the development of PC in China which broaden the research perspectives of the PC development by introducing the methods of political science. The research findings afford helpful information for future policy adjustments and elucidate the effective delivery of policies to facilitate PC development for developing countries.Originality/valueThis study provides an in-depth understanding of policy instruments used by China's Government on PC development. By integrating the policy instrument analysis framework into the mixed methods of content analysis and bibliometric analysis, this study provides an innovative way to conduct policy instrument analysis.

PurposeThe purpose of this paper is to identify the interactions of factors impacting the widespread adoption of prefabricated building technologies and the intervention strategies to facilitate the development of prefabrication based on fuzzy cognitive maps (FCMs).Design/methodology/approachThrough in-depth interviews with six stakeholder groups, namely, the government, developers, designers, contractors, manufacturers and researchers, 13 critical factors were identified and used to construct stakeholder-grouped FCMs, which were further aggregated into a collective FCM. The complexity and density of the collective FCM and the centrality of factors in the FCM were examined. Subsequently, a series of “what-if” simulations of the collective FCM were conducted to analyze the effectiveness of different interventions in promoting prefabrication.FindingsThe results show that three factors including market demand, cost, and policies and regulations have been mentioned by all stakeholder groups. However, these factors were ranked differently by stakeholder groups, implying that different stakeholder groups perceive the barriers to prefabricated building technologies differently. FCM simulations show that strengthening policies and regulations yield the strongest overall effect stimulating prefabrication, alleviating the organizational and environmental barriers more than the technological barriers, while improving the knowledge and expertise alleviate the technological barriers more. These measures need to be accompanied by other approaches, such as reducing cost and improving quality.Research limitations/implicationsIt is a tough task to promote prefabrication as it is affected by numerous barriers with complex interactions, which have been overlooked by previous studies. This study clearly shows which strategy could tackle which barriers to prefabrication through the FCM simulations. This provides valuable references for the enterprises’ decision making and the governments’ policy making to facilitate the diffusion of prefabricated building technologies.Originality/valueFew studies aim to analyze the interactions among the barriers to prefabrication, while this study specifically investigates this issue by illustrating the complex interactions using FCMs. Few studies also aim to identify the intervention strategies promoting prefabrication based on a quantitative approach, while this study employs FCM simulations to directly simulate the effectiveness of different strategies to facilitate prefabrication in a quantitative manner.

The effect of the amount of isothermal martensite and bainite on the microstructure and properties in a medium-carbon quenching and partitioning (Q&P) steel was investigated by designing the different Q&P treatment parameters. The results show that the amount of isothermal martensite increased gradually with the increase in quenching time. The increase in isothermal martensite amount improved the product of strength and elongation (PSE) of Q&P steels. In addition, the increase in carbides amount and the recovery in prior martensite with longer partitioning time led to an increase in PSE first and then, a decrease. It implies that a higher PSE could be obtained by the selection of a suitable partitioning time. Furthermore, the effect of bainite transformation during partitioning on PSE was investigated by designing the different partitioning temperatures, including 300, 400 (below bainite starting temperature, Bs) and 480 °C (above Bs). The results show that compared with the samples partitioned at temperature above Bs, the bainite transformation was only detected when the samples were partitioned at temperature below Bs. The bainite transformation amount increased with the decreasing partitioning temperature, leading to the inhibition of carbides precipitation and more stable RA and thus, resulting in the highest PSE.

Project stakeholders play an important role in the implementation process of sustainable construction. Due to different attributes of each stakeholder in the project, their importance level is different. This paper firstly identifies 13 project stakeholders based on Chinese construction project management mechanism and then a questionnaire survey was conducted to investigate their importance. This finding indicates that client and government play extremely important role in the sustainable construction; all the project stakeholders are important in the three aspects and the importance level order of project stakeholders in the three aspects is different.

The effect of the amount of isothermal martensite and bainite on the microstructure and properties in a medium-carbon quenching and partitioning (Q&P) steel was investigated by designing the different Q&P treatment parameters. The results show that the amount of isothermal martensite increased gradually with the increase in quenching time. The increase in isothermal martensite amount improved the product of strength and elongation (PSE) of Q&P steels. In addition, the increase in carbides amount and the recovery in prior martensite with longer partitioning time led to an increase in PSE first and then, a decrease. It implies that a higher PSE could be obtained by the selection of a suitable partitioning time. Furthermore, the effect of bainite transformation during partitioning on PSE was investigated by designing the different partitioning temperatures, including 300, 400 (below bainite starting temperature, B s ) and 480 °C (above B s ). The results show that compared with the samples partitioned at temperature above B s , the bainite transformation was only detected when the samples were partitioned at temperature below B s . The bainite transformation amount increased with the decreasing partitioning temperature, leading to the inhibition of carbides precipitation and more stable RA and thus, resulting in the highest PSE.

Purpose The purpose of this paper is to identify the interactions of factors impacting the widespread adoption of prefabricated building technologies and the intervention strategies to facilitate the development of prefabrication based on fuzzy cognitive maps (FCMs). Design/methodology/approach Through in-depth interviews with six stakeholder groups, namely, the government, developers, designers, contractors, manufacturers and researchers, 13 critical factors were identified and used to construct stakeholder-grouped FCMs, which were further aggregated into a collective FCM. The complexity and density of the collective FCM and the centrality of factors in the FCM were examined. Subsequently, a series of “what-if” simulations of the collective FCM were conducted to analyze the effectiveness of different interventions in promoting prefabrication. Findings The results show that three factors including market demand, cost, and policies and regulations have been mentioned by all stakeholder groups. However, these factors were ranked differently by stakeholder groups, implying that different stakeholder groups perceive the barriers to prefabricated building technologies differently. FCM simulations show that strengthening policies and regulations yield the strongest overall effect stimulating prefabrication, alleviating the organizational and environmental barriers more than the technological barriers, while improving the knowledge and expertise alleviate the technological barriers more. These measures need to be accompanied by other approaches, such as reducing cost and improving quality. Research limitations/implications It is a tough task to promote prefabrication as it is affected by numerous barriers with complex interactions, which have been overlooked by previous studies. This study clearly shows which strategy could tackle which barriers to prefabrication through the FCM simulations. This provides valuable references for the enterprises’ decision making and the governments’ policy making to facilitate the diffusion of prefabricated building technologies. Originality/value Few studies aim to analyze the interactions among the barriers to prefabrication, while this study specifically investigates this issue by illustrating the complex interactions using FCMs. Few studies also aim to identify the intervention strategies promoting prefabrication based on a quantitative approach, while this study employs FCM simulations to directly simulate the effectiveness of different strategies to facilitate prefabrication in a quantitative manner.

Hot compression experiments of 316LN stainless steel were carried out on Gleeble-3500 thermo-simulator in deforma- tion temperature range of 1 223-1 423 K and strain rate range of 0.001-1 s 1. The flow behavior was investigated to evaluate the workability and optimize the hot forging process of 316LN stainless steel pipes. Constitutive relationship of 316LN stainless steel was comparatively studied by a modified Arrhenius-type analytical constitutive model considering the effect of strain and by an ar- tificial neural network model. The accuracy and effectiveness of two models were respectively quantified by the correlation coeffi- cient and absolute average relative error. The results show that both models have high reliabilities and could meet the requirements of engineering calculation. Compared with the analytical constitutive model, the artificial neural network model has a relatively higher predictability and is easier to work in cooperation with finite element analysis software.

Electrosynthesis of acetate from carbon monoxide (CO) powered by renewable electricity offers one promising avenue to obtain valuable carbon-based products but undergoes unsatisfied selectivity because of the competing hydrogen evolution reaction. We report here a cerium single atoms (Ce-SAs) modified crystalline-amorphous dual-phase copper (Cu) catalyst, in which Ce SAs reduce the electron density of the dual-phase Cu, lowering the proportion of interfacial K + ion hydrated water (K·H 2 O) and thereby decreasing the H * coverage on the catalyst surface. Meanwhile, the electron transfer from dual-phase Cu to Ce SAs yields Cu + species, which boost the formation of active atop-adsorbed * CO (CO atop ), improving CO atop -CO atop coupling kinetics. These together lead to the preferential pathway of ketene intermediate ( * CH 2 -C=O) formation, which then reacts with OH - enriched by pulsed electrolysis to generate acetate. Using this catalyst, we achieve a high Faradaic efficiency of 71.3 ± 2.1% toward acetate and a time-averaged acetate current density of 110.6 ± 2.0 mA cm −2 under a pulsed electrolysis mode. Furthermore, a flow-cell reactor assembled by this catalyst can produce acetate steadily for at least 138 hours with selectivity greater than 60%. Electrosynthesis of acetate from CO using renewable electricity faces low selectivity. Here, the authors report a cerium single atom modulated copper catalyst, where cerium atoms tailor the interfacial water structure, enabling highly selective CO-to-acetate conversion under pulsed electrolysis.

Carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19-9) are established prognostic biomarkers for patients with gastric cancer. However, their potential as predictive markers for neoadjuvant chemotherapy (NACT) efficacy has not been fully elucidated. Methods: We conducted a retrospective analysis to determine values of CEA and CA19-9 prior to NACT (pre-NACT) and after NACT (post-NACT) in 399 patients with locally advanced gastric cancer (LAGC) who received intended NACT and surgery. Results: Among the 399 patients who underwent NACT plus surgery, 132 patients (33.1%) had elevated pre-NACT CEA/CA19-9 values. Furthermore, either pre-NACT or post-NACT CEA /CA19-9 levels were significantly associated with prognosis (p = 0.0023) compared to patients with non-elevated levels. Moreover, among the patients, a significant proportion (73/132, 55.3%) achieved normalized CEA/CA19-9 following NACT, which is a strong marker of a favorable treatment response and survival benefits. In addition, the patients with normalized CEA/CA19-9 also had a prolonged survival compared to those who underwent surgery first (p = 0.0140), which may be attributed to the clearance of micro-metastatic foci. Additionally, the magnitude of CEA/CA19-9 changes did not exhibit a statistically significant prognostic value. Conclusions: Normalization of CEA/CA19-9 is a strong biomarker for the effectiveness of treatment, and can thus be exploited to prolong the long-term survival of patients with LAGC.

Background Radial artery occlusion is a common complication after coronary angiography and percutaneous coronary intervention via the transradial access. In recent years, coronary angiography and percutaneous coronary intervention via the distal transradial access has gradually emerged, but recanalization of the occluded radial artery through the distal transradial access has rarely been reported. Case presentation A 67-year-old female with arterial hypertension and diabetes mellitus was admitted to the hospital due to chest pain for three hours. She was diagnosed with acute myocardial infarction. After admission, the patient successfully underwent emergency coronary angiography and percutaneous coronary intervention through the right transradial access. Radial artery occlusion was found after the operation, and recanalization was successfully performed through the right distal transradial access before discharge. Immediately after the operation and one month later, vascular ultrasonography showed that the antegrade flow was normal. Conclusions This report presents a case of radial artery occlusion after emergency coronary angiography and percutaneous coronary intervention in which recanalization was successfully performed through the right distal transradial access. This case demonstrates that recanalization of a radial artery occlusion via the distal transradial access is safe and feasible.