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Background Rheumatoid arthritis (RA) is inflammatory arthritic disease, and circular RNA is involved in RA development. The aim of the present work is to analyze the role of circ_0002984 in the process of RA fibroblast-like synoviocytes (RAFLSs) and the underlying mechanism. Methods Circ_0002984, miR-543, and proprotein convertase subtilisin/kexin type 6 (PCSK6) expression levels were analyzed by quantitative real-time polymerase chain reaction or western blotting. Cell proliferation, migration, inflammatory response, and apoptosis were investigated through 5-Ethynyl-2′-deoxyuridine assay, wound-healing assay, enzyme-linked immunosorbent assay, and flow cytometry analysis. Dual-luciferase reporter assay and RNA immunoprecipitation assay were performed to assess the binding relationship. Results Circ_0002984 and PCSK6 expression were increased, while miR-543 expression was decreased in the synovial tissues of RA patients and RAFLSs. Circ_0002984 introduction facilitated RAFLS cell proliferation, migration and inflammatory response and repressed apoptosis, but circ_0002984 knockdown had an opposite role. Circ_0002984 targeted miR-543, and PCSK6 was targeted by miR-543. MiR-543 downregulation or PCSK6 overexpression restored the effects of circ_0002984 interference on RAFLS phenotypes. Conclusion Circ_0002984 promoted RAFLS proliferation, migration and inflammatory cytokine secretion and inhibited apoptosis by binding to miR-543 to induce PCSK6 production, providing a potential target for RA therapy.

Australian residents have the highest solar energy installation rate in the world. However, after experiencing rapid growth, the residential installation rate began to decline sharply starting in 2011. In this study, we examine installation data for small and medium-sized solar photovoltaic (PV) devices across 2,413 Australian postcode areas using regression analysis and coarsened exact matching (CEM). We reevaluate four primary factors influencing the residential solar energy installation rate: natural factors, energy policy factors, rooftop space factors, and socioeconomic factors. Our findings reveal that areas with higher proportions of elderly or low-income residents exhibit greater household solar PV installation rates. Additionally, increased feed-in tariff (FiT) subsidies further motivate these resident groups to install solar PV systems, resulting in higher installation rates within their neighborhoods. The results also suggest that if a subsidy policy with a feed-in tariff average expected return (FiT-AER) of more than 7 cents/kWh persists, elderly and low-income groups in Australia may continue to dominate home solar PV installations. This trend could potentially mitigate energy inequity during the energy transition process.

Yanfei Miao,1 Shihua Zhao,1 Jian Zuo,1 Jiqin Sun,1 Jingnan Wang2 1College of Chemistry and Chemical Engineering, Taishan University, Tai’an, People’s Republic of China; 2School of Biotechnology and Pharmaceutical Engineering, Nanjing Tech University, Nanjing, People’s Republic of ChinaCorrespondence: Yanfei Miao, College of Chemistry and Chemical Engineering, Taishan University, Tai’an 271000, People’s Republic of China, Tel/Fax +86-0538-6713958, Email ouyang_miaoyanfei@126.comPurpose: The purpose of this work was to develop an ivacaftor self-nanoemulsion drug delivery system (IVA-SNEDDS) using the newly developed double headed miscellaneous lipid (DHML) as oil phase to reduce the food effect and inter-individual absorption variability of IVA.Methods: The lipids with the greatest solubility to IVA were selected as the oil phase of IVA-SNEDDS by saturation solubility method. Then, among different surfactants and co-surfactants, those with good emulsifying ability for the selected oil phase were selected, and the proportion of surfactant and co-surfactant was further selected by pseudo-ternary phase diagram. The prepared IVA-SNEDDS were screened and evaluated in vitro and in beagle dogs.Results: The optimized IVA-SNEDDS formulation consisting of DHML, Tween 80, and Transcutol HP with the weight ratio of 2:2:1 was physically stable and it was easy to disperse in water, pH 1.2 hydrochloric acid and pH 6.8 phosphate buffer solution, and generated a fine homogeneous nanoemulsion, with mean globule size less than 75 nm regardless of dilution ratio. In vitro drug release studies showed that the drug in IVA-SNEDDS could be completely released in a short time, while the drug release in IVA-suspension was less than 1% at 60 min. In vivo, using IVA-suspension (Fed) as a reference, the relative oral bioavailability of IVA-suspension (Fasted), IVA-SNEDDS (Fasted), and IVA-SNEDDS (Fed) were 23.35%, 153.63%, and 149.89%, respectively. This showed that IVA-SNEDDS could eliminate the positive food effect, improve the oral bioavailability, and reduce the IVA absorption difference between individuals.Conclusion: As the oil phase of SNEDDS, DHML can significantly improve the drug solubility and drug loading of IVA-SNEDDS. Moreover, DHML was easily emulsified and can effectively form a nanoemulsion in vivo and in vitro. The prepared IVA-SNEDDS can reduce the inter-individual absorption variability of IVA, eliminate its food effect and improve its oral bioavailability.Keywords: ivacaftor, food effect, self-nanoemulsion drug delivery system (SNEDDS), oral bioavailability, oil phase

International audience; This work proposes a load allocation decision strategy based on deterioration prognostics information for multi-stack fuel cell systems. The fuel cell deterioration is characterized by the overall resistance value, as it carries the key aging information of a fuel cell. The fuel cell deterioration dynamics is then modeled as an increasing stochastic process whose trend is a function of the fuel cell output power. Combining system deterioration and fuel cell consumption, a multi-objective optimization (MOO) based decision-making strategy is proposed to manage the operation of a multi-stack fuel cell system. Based on this algorithm, the optimal operating power load is computed for each stack. Finally, the performance of the proposed approach is compared to the case without post-prognostics decision for a three-stack fuel cell system. The simulation results show that the proposed post-prognostics decision-making strategy can manage fuel cell system operating in real time by scheduling the optimal load allocation among stacks.

PurposePrefabricated construction (PC) will play a vital role in the transformation and upgrading of the construction industry in the future. However, high capital cost is currently one of the biggest obstacles to the application and promotion of PC in China. Clarifying the factors that affect the PC cost from the perspectives of stakeholders and exploring key cost control paths help to achieve effective cost management, but few studies have paid enough attention to this. Therefore, this research aims to explore the critical cost influencing factors (CIFs) and critical stakeholders of PC based on stakeholder theories and propose corresponding strategies for different stakeholders to reduce the cost of PC.Design/methodology/approachBased on the stakeholder theory and social network theory, literature review and two rounds of expert interviews were used to obtain the stakeholder-associated CIFs and their mutual effects, then the consistency of the data was tested. After that, social network analysis was applied to identify the critical CIFs, critical interaction and key stakeholders in PC cost control and mine the influence conduction paths between CIFs.FindingsThe results reveal that the cognition and attitude of developer and relevant standards and codes are the most critical CIFs while the government, developer and contractor are crucial to the cost control of PC. The findings further suggest that measures should be taken to reduce the transaction costs of the developer, and the contractor ought to efficiently apply information technology. Moreover, the collaborative work between designer and manufacturer can avoid unnecessary cost consumption.Originality/valueThis research combines stakeholder management and cost management in PC for the first time and explores the effective cost control paths. The research results can contribute to clarifying the key points of cost management for different stakeholders and improving the cost performance of PC projects.

PurposeThis study aims to explore the relationship between network position, various types of inter-organizational conflicts and project performance in the context of megaprojects.Design/methodology/approachCentrality and structural holes were used to represent network position. A theoretical model was developed, and a structured questionnaire survey was conducted with construction professionals involved in megaprojects. A total of 291 valid responses were obtained, which were analyzed via structural equation modeling.FindingsThe results showed that centrality negatively impacts project performance, while structural holes do not significantly impact project performance. Centrality negatively affects task conflicts, but positively affects process conflicts and relationship conflicts. Structural holes positively impact task conflicts, but negatively impact both process conflicts and relationship conflicts. Task conflict and relationship conflict exert constructive and destructive effects on project performance, respectively, while process conflict does not significantly impact project performance. Task conflict and relationship conflict play mediating roles. Task conflict weakens while relationship conflict strengthens the relationship between centrality and project performance. Task conflict strengthens while relationship conflict weakens the relationship between structure hole and project performance.Research limitations/implicationsThis study provides a reference for the implementation of network governance, inter-organizational conflict management and project performance management in megaprojects. However, the impact of dynamic changes of inter-organizational conflicts and network position on project performance has not been discussed in the context of megaprojects. Future research may explore the impact of dynamic changes of conflicts and network position on project implementation.Originality/valueThis study increases the current understanding of the impact of network position on project performance. Moreover, a new direction for network governance in the context of megaprojects is provided. This study also verified both the constructive and destructive effects of conflicts and the mediating role they play, thus supplementing the literature on inter-organizational conflict management in the construction field.

Continuous increase in CO2 emissions results in global warming, thus causing harm to human health and ecosystem. Although many studies investigated the impacts of CO2, how to quantify and analyze them in different regions is a key problem that needs to be solved. Based on the popular ReCiPe 2016 model for life cycle assessment, ReCiPe-Carbon-in-China (RC) model, an evaluation model suitable for quantifying the harm caused by CO2 in China, was established. In RC model, the impact of temperature rise on ischemic heart disease and stroke was quantified, and a new model was constructed to quantify the impact of inland floods caused by temperature rise on human health. The results show that compared with that of ReCiPe 2016 model, the maximum range value of perspectives of RC model in terms of human health dropped from 297% to 47%, and the harm caused by CO2 to human health and ecosystem reduced significantly. These results are in line with China's actual condition. As a carbon-intensive industry, the cement clinker production was analyzed integratively with life cycle assessment theory to verify the effectiveness of RC model, and several optimized measures were put forward to reduce CO2 emissions for a more sustainable cement clinker production.

The economic instrument is an effective approach to encourage demolition contractors to conduct low-impact waste management. It is essential for project managers and decision-makers to better understand the cost-benefit of demolition waste (DW) management, to promote development of an effective waste management plan. This study explores the interactive dynamics and adaptive nature between stakeholders, where the cost-benefit of DW management is analysed through the agent-based modelling approach. Shenzhen, a leading city in China in the management of DW, was selected as the study area. It was revealed that if the traditional demolition method is adopted as the primary choice, the net benefit of demolition of buildings in the study case will reach −131.4 billion yuan, i.e. the cost will surpass the revenue. If the selective demolition method is widely used by demolition contractors, simulation results indicate that the net benefit will reach 33.3 billion yuan, an increase of 125.34%, compared to the situation in which the traditional demolition method is widely implemented. Based on the simulation, an optimal management framework for DW management stakeholders was constructed. The research results can provide a decision-making basis for the government and relevant departments to formulate DW management measures.

A nanoetching technology is demonstrated to induce the exposure of (101) facets of TiO2 nanorods, exhibiting a significantly enhanced photoelectrochemical activity.

In the construction of asphalt pavement, poor quality is often the main reason for damage to the pavement, which necessitates the use of monitoring systems during the construction stage. Therefore, this study focuses on building an asphalt concrete pavement construction monitoring system to monitor the construction phase. Through a literature review and semi-structured interviews with industry experts, this paper provides an in-depth understanding of the goals and obstacles of asphalt pavement monitoring and discusses directions for improvement. Subsequently, based on the analysis of the interview results, a system framework for asphalt concrete pavement construction monitoring was constructed, and the system was successfully developed and applied to a highway construction project. The results show that the monitoring system significantly improves the construction quality of asphalt concrete pavement, improves the intelligent level of pavement construction management, and promotes the digital development of highway construction.

PurposeAccurate and timely cost prediction is critical to the success of construction projects which is still facing challenges especially at the early stage. In the context of rapid development of machine learning technology and the massive cost data from historical projects, this paper aims to propose a novel cost prediction model based on historical data with improved performance when only limited information about the new project is available.Design/methodology/approachThe proposed approach combines regression analysis (RA) and artificial neural network (ANN) to build a novel hybrid cost prediction model with the former as front-end prediction and the latter as back-end correction. Firstly, the main factors influencing the cost of building projects are identified through literature research and subsequently screened by principal component analysis (PCA). Secondly the optimal RA model is determined through multi-model comparison and used for front-end prediction. Finally, ANN is applied to construct the error correction model. The hybrid RA-ANN model was trained and tested with cost data from 128 completed construction projects in China.FindingsThe results show that the hybrid cost prediction model has the advantages of both RA and ANN whose prediction accuracy is higher than that of RA and ANN only with the information such as total floor area, height and number of floors.Originality/value(1) The most critical influencing factors of the buildings’ cost are found out by means of PCA on the historical data. (2) A novel hybrid RA-ANN model is proposed which proved to have the advantages of both RA and ANN with higher accuracy. (3) The comparison among different models has been carried out which is helpful to future model selection.

As one of the most effective strategies to promote the spatial separation of charges, constructing heterojunction has received extensive attention in recent years. However, it remains unclear whether the crystal facet orientation (CFO) at the heterojunction interface is contributory to charge separation. Herein, three types of TiO

Rapid urbanization and population growth have triggered an increase in urban housing demand and rising housing prices, which can influence the migration intention of high-level talents. Much work within the literature has focused more on the migration of the general public. However, antecedents of migration intention and the impact of housing prices on the migration of high-level talents remain unclear. Therefore, based on the push-pull theory, this study investigates the influencing factors of talent migration intention and explores the role of housing prices. This study reveals a complex mechanism underlying migration decisions by using logistic regression models and survey data of high-level talents in the Pearl River Delta (PRD) megalopolis of China. The results indicate that: 1) in high house-price regions, social integration is the primary push factor, and the main factors for retaining talents are the expectation of future work and intimate family relationships; 2) in medium house-price regions, the main factors that attract talents are the current salary level and close family ties; 3) in low house-price regions, living convenience is a determining factor in retaining talents. This study provides a new perspective for talent mobility research and offers valuable inputs for retaining and attracting talents in different economic development regions. Findings are of great significance for formulating talent introduction policies and forming a new pattern of rational spatial docking and effective allocation of human resources. Refereed/Peer-reviewed

PurposeThe public's trust in the authorities has a great impact on people's perception and cognition on development of different types of urban transport infrastructure projects (UTIPs). Given the importance of public acceptance for the efficient construction and operation of UTIPs, this study aims at investigating the personal and environmental factors that influence public acceptance behavior from the perspective of stakeholder management.Design/methodology/approachBased on social cognitive theory (SCT), this study explores the multiple dimensions of social trust on public acceptance in the development of UTIPs by a comparative case study. Two types of UTIPs, a metro railway and a bridge in the Wuhan City, China, were selected as cases, with a questionnaire distributed among the public to collect their sense of trust towards the development of these projects. The data were analyzed through structural equation modeling (SEM).FindingsThis study reveals that social trust positively influences public acceptance, directly or indirectly through perceived benefit and -risks and self-efficacy. However, the emphasis on social trust about competence and integrity of the authorities varies with the types of projects. Self-efficacy worked as the “mirror of trust” reflecting people's attitude towards social trust in the authorities on their ability and morality.Originality/valueThe value of the paper lies in discussing social trust from multiple dimensions in the field of urban infrastructures, which provides new insights into specific mechanisms for shaping public acceptance in project management towards the development of UTIPs.

PurposeBuilding information modeling (BIM) is recognized as one of the technologies to upgrade the informatization level of the architecture engineering and construction (AEC) industry. However, the level of BIM implementation in the construction phase lags behind other phases of the project. Assessing the level of BIM implementation in the construction phase from a system dynamics (SD) perspective can comprehensively understand the interrelationship of factors in the BIM implementation system, thereby developing effective strategies to enhance BIM implementation during the construction phase. This study aims to develop a model to investigate the level of BIM implementation in the construction phase.Design/methodology/approachAn SD model which covered technical subsystem, organizational subsystem, economic subsystem and environmental subsystem was developed based on questionnaire survey data and literature review. Data from China were used for model validation and simulation.FindingsThe simulation results highlight that, in China, from 2021 to 2035, the ratio of BIM implementation in the construction phase will rise from 48.8% to 83.8%, BIM model quality will be improved from 27.6% to 77.2%. The values for variables “BIM platform”, “organizational structure of BIM” and “workflow of BIM” at 2035 will reach 65.6%, 72.9% and 72.8%, respectively. And the total benefits will reach 336.5 billion yuan in 2035. Furthermore, the findings reveal five factors to effectively promote the level of BIM implementation in the construction phase, including: policy support, number of BIM standards, owners demand for BIM, investment in BIM and strategic support for BIM.Originality/valueThis study provides beneficial insights to effectively enhance the implementation level of BIM in the construction phase. Meanwhile, the model developed in this study can be used to dynamically and quantitatively assess the changes in the level of BIM implementation caused by a measure.

PurposeUnbalanced bidding can seriously imposed the government from obtaining the best value for the taxpayers' money in public procurement since it increases the owner's cost and decreases the fairness of the competitive bidding process. How to detect an unbalanced bid is a challenging task faced by theoretical researchers and practical actors. This study aims to develop an identification method of unbalanced bidding in the construction industry.Design/methodology/approachThe identification of unbalanced bidding is considered as a multi-criteria decision-making (MCDM) problem. A data-driven unit price database from the historical bidding document is built to present the reference unit prices as benchmarks. According to the proposed extended TOPSIS method, the data-driven unit price is chosen as the positive ideal solution, and the unit price that has the furthest absolute distance measure as the negative ideal solution. The concept of relative distance is introduced to measure the distances between positive and negative ideal solutions and each bidding unit price. The unbalanced bidding degree is ranked by means of relative distance.FindingsThe proposed model can be used for the quantitative evaluation of unbalanced bidding from a decision-making perspective. The identification process is developed according to the decision-making process. The finding shows that the model will support owners to efficiently and effectively identify unbalanced bidding in the bid evaluation stage.Originality/valueThe data-driven reference unit prices improve the accuracy of the benchmark to evaluate the unbalanced bidding. The extended TOPSIS model is applied to identify unbalanced bidding; the owners can undertake objective decision-making to identify and prevent unbalanced bidding at the stage of procurement.

Introduction The use of environmentally benign resources for nanoparticles synthesis is consistently pushed to the front burner in a bid to ensure and enhance environmental protection and beneficiation. In this light, application of different plant parts for the reduction and stabilization of nanoparticles is gaining popularity. Materials and Methods In this contribution, we have exploited Securidaca inappendiculata stem extract (SISE), as the reducing and stabilizing agent for room temperature synthesis of highly stable and dispersed AgNPs. The major bioactive compounds in SISE were profiled using an ultra-high-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry (UHPLC-MS-QTOF-MS). Results and Discussion SISE could reduce silver salts to its nanoparticles almost instantaneously with a maximum absorption spectrum at 423 nm, under the optimal conditions. The fabricated SISE AgNPs was extensively characterized using FTIR, TEM, SEM, XRD, EDS, Zeta analysis/DLS and TGA/DTG analysis. SISE AgNPs with average particles size between 10–15 nm and a zeta potential value of −19.5 ± 1.8 mV was obtained. It was investigated for in-vitro biological applications by carrying out, antimicrobial, antioxidant, hemolytic, cytotoxicity and antidiabetic assays. It was found that SISE AgNPs exhibited potent antimicrobial capacity against some food borne microbes, good antioxidant property, while also demonstrating high biocompatibility. Moreover, with a view to extending further the applications SISE AgNPs, it was tested as a colorimetric nanoprobe for Hg2+ detection in aqueous environment, where good linearity between 0.10 and 10.0 μM, with a detection limit of 26.5 nM, were obtained. The practicality of the probe was investigated by carrying out Hg2+ detection in water sample, with good accuracy and precision. Discussion Overall, this work introduced a new stabilizer for biocompatible AgNPs with far-reaching applications., Graphical Abstract

Purpose Some papers have investigated the complex factors impacting building information modeling (BIM) application in prefabricated buildings (PBs), but few paid attention to their interaction relationships. Ignoring the fact that different factors are not isolated may lead to some key factors being overlooked without appropriate improvement strategies being proposed. This paper aims to analyze those factors and their inter-relationships, with the view to identify the critical factors and their interaction relationships so as to derive constructive strategies that would effectively facilitate BIM adoption in Chinese prefabrication. Design/methodology/approach First, factors influencing BIM application in prefabrication are extracted and collated by literature review, expert interview and analysis of PBs characteristics. Thereafter, an evaluation laboratory (decision-making trial and evaluation laboratory) and interpretive structural modeling are used to explore the relationships and hierarchy among the factors. Based on the degree of cause and centrality, critical factors are extracted and the interaction relationship are investigated. Findings The results show that BIM policies and standards for PBs are the main causal factors. The maturity of BIM software and BIM data interface for PBs, willingness to share data, the strategic goals of the enterprise, BIM law and BIM input and benefit are the main transitional factors while BIM staff and workflow, enterprise attitude, distribution of BIM liability and cooperation of participants are the main direct factors. Originality/value Based on the above findings, corresponding improvement strategies are proposed so as to promote BIM application in prefabrication and the rapid development of China’s PBs efficiently.

Construction and demolition waste (CDW) has become part of the largest waste stream globally and many cities are facing the shortage of management capability to treat CDW. These cities seek to transport their CDW to their neighbor cities for recycling or landfilling, which is recognized as the cross-regional management of CDW. However, there were few studies to investigate the mechanism of cross-regional mobility in CDW field. This study developed a model to evaluate the self-fulfillment degree of CDW management capability at regional level based on the Triple-balance theory. Guangdong-Hong Kong-Macao Greater Bay Area (GBA) was selected as the study case, and the data was collected through on-site surveys, expert interviews, and desktop surveys. The results showed that the self-fulfillment degree of CDW management capability of the cities, such as Guangzhou, Zhuhai, Foshan, Dongguan, Jiangmen, and Zhaoqing was high, which meant these cities could well manage the CDW generated within the regions under current situation. The self-fulfillment degree of management capability of Macao, Huizhou, and Zhongshan was evaluated as medium; while the indicators of Hong Kong and Shenzhen fell into low category, which meant they needed to transport surplus CDW to other cities for further treatment. The research is significant as it provides an innovative evaluation model considering the cross-regional mobility for CDW management performance assessment. Besides, the findings could assist the waste management sectors to plan the CDW treatment facilities in GBA, while other cities could also benefit from this study regarding to the cross-regional mobility management of CDW.

Residential buildings are one of the major contributors to climate change due to their significant impacts on global energy consumption. Hence, most countries have introduced regulations to minimize energy use in residential buildings. To date, the focus of these regulations has mainly been on operational energy while excluding embodied energy. In recent years, extensive studies have highlighted the necessity of minimizing both embodied energy and operational energy by applying the life-cycle energy assessment (LCEA) approach. However, the absence of a standardized framework and calculation methodology for the analysis of embodied energy has reportedly led to variations in the LCEA results. Retrospective research endeavoured to explore the causes of variations, with a limited focus on calculating embodied impacts. Despite the undertaken attempts, there is still a need to investigate the key parameters causing variations in LCEA results by examining methodological approaches of the current studies toward quantifications of embodied and operational energies. This paper aims to address three primary questions: ‘what is the current trend of methodological approach for applying LCEA in residential buildings?’; ‘what are the key parameters causing variations in LCEA results?’; and ‘how can the continued variations in the application of LCEA in residential buildings be overcome?’. To this end, 40 LCEA studies representing 157 cases of residential buildings across 16 countries have been critically reviewed. The findings reveal four principal categories of parameters that potentially contribute to the varying results of LCEAs: system boundary definition, calculation methods, geographical context, and interpretation of results. This paper also proposes a conceptual framework to minimize variations in LCEA studies by standardizing the process of conducting LCEAs.

Tinnitus, the phantom perception of noise originating from the inner ear, has been reported by 15% of the world’s population, with many patients reporting major deficits to cognition and mood. However, both objective diagnostic tools and targeted therapeutic strategies have yet to be established. To better understand the underlying genes that may preclude tinnitus, we performed a genome-wide association study of the UK Biobank’s 49,960 whole exome sequencing participants to identify any loci strongly associated with tinnitus. We identified 17 suggestive single nucleotide polymorphisms (p WDPCP (p = 3.959e−10) in the female cohort, a mutation which has been previously implicated in typical neuronal functioning through axonal migration and structural reinforcement, as well as in Bardet-Biedl syndrome-15, a ciliopathy. Additionally, in situ hybridization in the embryonic and P56 mouse brain demonstrated that the majority of these genes are expressed within the dorsal cochlear nucleus, the region of the brain theorized to initially induce tinnitus. Further RT-qPCR and RNAScope data also reveals this expression pattern. The results of this study indicate that predisposition to tinnitus may span across multiple genomic loci and be established by weakened neuronal circuitry and maladaptive cytoskeletal modifications within the dorsal cochlear nucleus.

Crystal facet engineering is considered as an effective way to improve photoelectrochemical (PEC) performance. Here, we have developed a nanoetching technology (TiO

Relocating pollution-intensive factories is one of the most effective measures to meet mandatory environmental regulations in developed cities while simultaneously imposing environmental pressure on the receiving cities. Existing studies often assume that relocated plants produce the same or higher emissions when relocated. However, the current pollution mitigation policies enforce even higher emission standards in the destination after plant relocation. We employ a bottom-up pollution accounting approach to assess the impact of intraregional or interregional relocation of iron and steel plants in China's Beijing-Tianjin-Hebei (BTH) area on various air pollutants; specifically, seven policy scenarios are modeled, based on stringency, implementation scope, and production technologies. We find that relocation combined with emission standards enforcement and shifts from BOF (basic oxygen furnace) to EAF (electric arc furnace) production technology may significantly reduce emissions within and outside BTH areas by as much as 28.8% compared to business as usual. The observed reduction is mainly due to the requirement of meeting ultralow emission standards directly or indirectly after relocation. Both origin and destination cities benefit from the relocation, with limited emission spillovers (+9.1%) for destinations outside BTH and even a net reduction (9.4%) in Tangshan. We conclude that combining factory relocation with stricter emission standards and production technological innovation could circumvent the Pollution Haven Hypothesis and deliver win-win air pollution reduction benefits for both origins and destinations.

PurposeReal estate investment trusts (REITs) have shown great potential in addressing the current contradiction between underinvestment and sustainable development of urban regeneration in China, as well as in further facilitating the transformation and upgrading of China's urban development. In this regard, this study aims to investigate critical success factors (CSFs) and explore the relationships among these factors, and serve as a reference to provide recommendations and strategies for the successful implementation and sustainable development of urban regeneration REITs.Design/methodology/approachIn this study, an integrated total interpretive structural modeling–matriced impact croises multiplication applique (TISM–MICMAC) approach using the TISM technique and MICMAC analysis is then implemented to explore the relationships among CSFs, demonstrate the hierarchical structure and classify these factors into clusters based on calculated driving powers and dependence.FindingsThis study has determined a final list of 11 CSFs through literature review and expert survey. The TISM model demonstrates a six-level hierarchical structure encompassing the influence transmission paths of CSFs, in which the most significant factors and links are established, while the MICMAC analysis further classifies CSFs into four clusters as a complement for the findings of the TISM technique.Practical implicationsThis study offers practical implications for governments, individual and institutional investors, REITs and property managers, and other stakeholders concluded in urban regeneration REITs. The final list of determined CSFs can serve as the decision points for management and control of the implementation processes, while the findings of the TISM–MICMAC approach can be a significant reference to provide strategies for optimization and enhancement of urban regeneration REITs.Originality/valueThis study is a novel attempt to use both the TISM technique and MICMAC analysis to investigate CSFs for the implementation of urban regeneration REITs, and to address the theoretical and methodological research gaps in the existing literature.

Solar photovoltaic (PV) systems, are effective measures to reduce the greenhouse gas emissions related to the generation of power. However, the large exploitation of solar PV modules, leads to undesirable waste accumulation, impacting the environment. Solar PV waste management research is an emerging field which has received more attention recently, affected by the increase volume of solar PV disposal. However, only a few studies have reviewed the current trends in solar photovoltaic waste management. This study reviewed the emerging trends in solar photovoltaic waste management research from 1974 to 2019 using the scientometric review techniques. A total record of 4683 articles were retrieved from the Web of Science database on solar PV waste. The co-word, co-citation and co-author analysis of the retrieved articles were conducted to determine the emerging trends in the PV waste management research. The results revealed that, with a gradual growth in the PV waste management research, performance and efficiency of polymer solar cells have been the centre of recent research due to its light weight, flexibility, environmentally harmless materials and lower cost over the silicon based solar cells. However, it will be years before they are ready for commercialization for specific applications. Thus, the silicon-based modules are the most installed to date and will be coming to their end-of-life very soon. The results also show that, little attention was given to areas like recycling, recovery, policies and regulations on solar PV module waste management. Future research should focus on assessing the recycling potential and emissions from current solar PV modules and the easy remanufacture, recovery and reuse of future solar PV modules.

The emergence of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has affected billions of lives globally, and the world hopes to end this epidemic by effective vaccination. In this review, we depict the latest panorama of global COVID-19 vaccine research and development based on different technology platforms, and summarize key characteristics and available evidence on vaccines authorized for emergency use, in order to provide insights into improve coordination in the COVID-19 outbreak response for related stakeholders.

Objective Securidaca inappendiculata is a medicinal plant frequently used in the treatment of inflammatory diseases in south China. In this study, we aimed to explore its bioactive constituent which contributes to the anti-inflammatory activity. Methods Polyphenol-enriched and polyphenol-deprived fractions (PRF and PDF, respectively) were separated from the ethanolic extract by HPD300 macroporous resin-based method, and their anti-inflammatory activities were investigated on a lipopolysaccharide (LPS)-induced acute lung injury (ALI) model in rats. The possible mechanism of action in alleviating acute inflammation was studied using RAW264.7 cells. Results Both Folin-Ciocalteu and 1H nuclear magnetic resonance (NMR) analyses showed that polyphenolic content in PRF was approximately 10 times higher than that of PDF, and this observation reflected in their antioxidative capacities. PRF but not PDF significantly decreased the level of malondialdehyde, suppressed the expression of nicotinamide phosphoribosyltransferase (NAMPT) protein, and improved the severity of ALI in rats. PRF at 10 μg/mL effectively downregulated the expression of proteins NAMPT, HMGB1, TLR4, and p-p65, and scavenged the intracellular reactive oxygen species (ROS) in LPS-primed RAW264.7 cells. N-acetyl-L-cysteine exhibited similar inhibitory effects on ROS production and NAMPT-mediated TLR4/NF-κB activation in vitro, whereas nicotinamide mononucleotide antagonized all the changes induced by PRF during cotreatments. Conclusion As an antioxidant, PRF exhibited potent anti-inflammatory activity under both in vivo and in vitro conditions by downregulating NAMPT and TLR4/NF-κB. Accordingly, polyphenols were identified as important bioactive constituents in S. inappendiculata targeting oxidative stress-sensitive pro-inflammatory pathways.

This research examined how policy settings and new construction technologies and processes affect developer decisions to provide private sector housing supply and might improve affordability. The complexity of the development process, the structure of development organisations, the variety of products delivered, and land ownership issues mean the development decision-making process varies by organisation and site by site. Therefore, it is too simplistic to assume policy settings will have exactly the same impact on each and every developer and on each and every site.Development projects can take many years and generally developers estimate what their products would sell for in the current market using comparable evidence to determine potential sales prices and then apply a revenue escalation figure to try and forecast the actual sales price on project completion. This is fraught with difficulty due to price fluctuations even in the short term, let alone on development projects which may span 10 years. Developers usually adopt a conservative approach to price escalation to avoid overestimating revenues and delivering inflated return projections.The second biggest risk factor identified by interviewees was the planning process. Planning policy settings determine what a developer can do on a site. This means that the political stance of the local planning authority can actually deter a developer from operating across the whole of an LGA. The potential for timelines to blow out or last-minute changes forced upon developers increases risks and can reduce return, leading to developers avoiding certain areas. Modelling shows a more efficient development approval process, including planning, infrastructure and environmental approvals, which reduces timeframes has the potential to provide a major boost to project profitability.

Juvenile and mature mouse cochleae contain various low-abundant, vulnerable sensory epithelial cells embedded in the calcified temporal bone, making it challenging to profile the dynamic transcriptome changes of these cells during maturation at the single-cell level. Here we performed the 10x Genomics single-cell RNA sequencing (scRNA-seq) of mouse cochleae at postnatal days 14 (P14) and 28. We attained the transcriptomes of multiple cell types, including hair cells, supporting cells, spiral ganglia, stria fibrocytes, and immune cells. Our hair cell scRNA-seq datasets are consistent with published transcripts from bulk RNA-seq. We also mapped known deafness genes to corresponding cochlear cell types. Importantly, pseudotime trajectory analysis revealed that inner hair cell maturation peaks at P14 while outer hair cells continue development until P28. We further identified and confirmed a long non-coding RNA gene Miat to be expressed during maturation in cochlear hair cells and spiral ganglia neurons, and Pcp4 to be expressed during maturation in cochlear hair cells. Our transcriptomes of juvenile and mature mouse cochlear cells provide the sequel to those previously published at late embryonic and early postnatal ages and will be valuable resources to investigate cochlear maturation at the single-cell resolution.

Dan-Dan Wang,1,2,* Chi-Yi He,3,* Yi-Jin Wu,1,2 Liang Xu,4 Chao Shi,1 Opeyemi Joshua Olatunji,5 Jian Zuo,1,6,7 Cong-Lan Ji8 1Xin’an Medicine Research Center, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People’s Republic of China; 2The Key Laboratory of Anti-Inflammatory and Immune Medicine, Ministry of Education, Institute of Clinical Pharmacology, Anhui Medical University, Hefei, 230032, People’s Republic of China; 3Department of Gastroenterology, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People’s Republic of China; 4Department of Rheumatology, The First Affiliated Hospital of Wannan Medical College (Yijishan Hospital), Wuhu, 241000, People’s Republic of China; 5Traditional Thai Medical Research and Innovation Center, Faculty of Traditional Thai Medicine, Prince of Songkla University, Hat Yai, 90110, Thailand; 6Key Laboratory of Non-coding RNA Transformation Research of Anhui Higher Education Institution, Wannan Medical College, Wuhu, 241000, People’s Republic of China; 7Anhui Provincial Engineering Laboratory for Screening and Re-evaluation of Active Compounds of Herbal Medicines in Southern Anhui, Wuhu, 241000, People’s Republic of China; 8School of Pharmacy, Anhui College of Traditional Chinese Medicine, Wuhu, 241000, People’s Republic of China*These authors contributed equally to this workCorrespondence: Cong-Lan Ji; Jian Zuo, Email 37709103@qq.com; zuojian8178@163.comBackground: Exact roles of many metabolic regulators in rheumatoid arthritis (RA) are to be clarified. This study aimed to further characterize the impacts of silent information regulator 1 (SIRT1) status changes on this disease.Methods: Fluctuation pattern of SIRT1 expression in adjuvant-induced arthritis (AIA) rats was monitored using periodically collected white blood cells. Another bath of AIA rats were treated by SIRT1 agonist resveratrol. Blood from these rats was used to separate monocytes and plasma, which were subjected to polymerase chain reaction (PCR), enzyme linked immunosorbent assay (ELISA), and biochemical analyses. Clinical implication of SIRT1 activation was verified by treating AIA rat monocytes with SIRT1 agonist and overexpression vector in vitro.Results: SIRT1 deficiency occurred in AIA rats, which was accompanied with down-regulation of interleukin 10 (IL-10) and arginase-1 (ARG-1). Resveratrol eased oxidative stress and increased IL-10 production in vivo. Results of ELISA analysis demonstrated that resveratrol attenuated AIA severity in rats. Furthermore, it restored the altered levels of triglyceride, lactate and pyruvate in blood. Resveratrol promoted IL-10 production, and suppressed glycolysis of AIA monocytes cultured in vitro. SIRT1 overexpression similarly reshaped differentiation profile of AIA monocytes, evidenced by changes in metabolism indicators, IL-10 production and AMP-activated protein kinase (AMPK) pathway status. Although overexpressing SIRT1 in normal cells did not affect glycolysis significantly, it attenuated AMPK antagonist-caused abnormality.Conclusion: SIRT1 deficiency is implicated in AIA-related immune abnormality and metabolism alteration. Activating this signaling with resveratrol would impair the inflammatory polarization of monocytes, and consequently ease the severity of RA.Keywords: inflammation, metabolic reprogramming, monocytes, resveratrol, rheumatoid arthritis