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Multi-injection pharmaceutical products such as insulin must be formulated to prevent aggregation and microbial contamination. Small-molecule preservatives and nonionic surfactants such as poloxamer 188 (P188) are thus often employed in protein drug formulations. However, mixtures of preservatives and surfactants can induce aggregation and even phase separation over time, despite the fact that all components are well dissolvable when used alone in aqueous solution. A systematic study is conducted here to understand the phase behavior and morphological causes of aggregation of P188 in the presence of the preservatives phenol and benzyl alcohol, primarily using small-angle x-ray scattering (SAXS). Based on SAXS results, P188 remains as unimers in solution when below a certain phenol concentration. Upon increasing the phenol concentration, a regime of micelle formation is observed due to the interaction between P188 and phenol. Further increasing the phenol concentration causes mixtures to become turbid and phase-separate over time. The effect of benzyl alcohol on the phase behavior is also investigated.

In response to excessive energy consumption and severe pollution, green building has gained increasing attention around the world. Governments’ top-down incentive schemes and consumers’ bottom-up choice preferences are two major channels of residential green building promotion. Regarding the bottom-up route, high liveability performance is critical to ensuring that occupants are willing to make secondary purchases or provide recommendations. Therefore, this paper, using post-occupancy evaluation, aims to evaluate and compare the liveability performance of green and conventional buildings from the perspectives of occupants. The results verified that the eco-label effect (i.e., subjective differences for building types) influenced the occupants’ evaluations of building performance. When controlling for eco-label bias, we found that green buildings were not superior to conventional buildings in terms of liveability. This is highly relevant to evaluations of the orientation of green building certifications that concentrate on the consumption of energy and material resources but neglect the living experience of occupants. In addition, indicators related to thermal comfort (e.g., indoor temperature or frequency of air conditioner use) played an important role in the occupants’ liveability evaluations. These findings provide concrete guidance regarding how the evaluation systems of green building certifications in various countries should be upgraded in the near future.

Metal chalcophosphates, M2P2Q6 (M = transition metals; Q = chalcogen), are notable among the van der Waals materials family for their potential magnetic ordering that can be tuned with an appropriate choice of the metal or chalcogen. However, there has not been a systematic investigation of the basic structural evolution in these systems with alloying of the crystal subunits due to the challenge in the diffusion process of mixing different metal cations in the octahedral sites of M2P2Q6 materials. In this work, the P2S5 flux method was used to enable the synthesis of a multilayered mixed metal thiophosphate Fe2-xCoxP2S6 (x = 0, 0.25, 1, 1.75, and 2) system. Here, we studied the structural, vibrational, and electronic fingerprints of this mixed M2P2Q6 system. Structural and elemental analyses indicate a homogeneous stoichiometry averaged through the sample over multiple layers of Fe2-xCoxP2S6 compounds. It was observed that there is a correlation between the intensity of specific phonon modes and the alloying concentration. The increasing Co alloying concentration shows direct relations to the in-plane [P2S6]4- and out-of-plane P-P dimer vibrations. Interestingly, an unusual nonlinear electronic structure dependence on the metal alloying ratio is found and confirmed by two distinct work functions within the Fe2-xCoxP2S6 system. We believe this work provides a fundamental structural framework for mixed metal thiophosphate systems, which may assist in future studies on electronic and magnetic applications of this emerging class of binary cation materials.

PurposeThe recent promotion of prefabricated housing (PH) in China has resulted in a prosperous period for its implementation. However, transaction costs (TCs) cause low economic efficiency to stakeholders and hinder the further promotion of PH. No relevant study has yet been made to investigate the TCs and their causes in the PH field. This paper identifies critical TCs and explores the influencing factors from the developers' perspective.Design/methodology/approachSemi-structured interviews and a questionnaire survey were used to collect data about TCs and influencing factors. The most influential factors are identified with their impacts on particular TCs, yielded from correlation analysis and logistic regression.FindingsFrom the developers' perspective in China's PH market, this study identified that the most concerning sources of TCs are: hidden costs arising from disputes, extra workloads from design changes, learning costs, intensive communication and coordination in assembly and unexpected information costs in decision-making. The use of an ordered logistic regression approach indicates that the four most influential factors are: qualification of the general contractor, mandatory local policies, owner type and competitiveness of the developer.Practical implicationsTo reduce the TCs, experiencing learning and ensuring the design scheme's complicity are recommended to save information searching and exchanging costs. The implications for the PH developers are for them to: (1) professionalize their own organization and (2) procure high-qualified general contractors. For the policymakers, this means they should improve the clarity of the mandatory local policies for PH step-by-step.Originality/valueBy applying the TCs economic theory, this study explores factors that influence TCs in the PH industry. It sheds light on the influencing mechanism behind the TCs in the context of prefabricated housing.

OBJECTIVE: To evaluate the clinical characteristics and effectiveness of pulpotomy in mature permanent teeth with bioceramic putty repairmen iRoot and mineral trioxide aggregate (MTA). METHODS: Pulpotomy was performed on mature permanent premolars and molars with carious exposures at the Department of General Dentistry of Peking University School and Hospital of Stomatology, from November 2017 to September 2019. The patients were randomly divided into 2 groups, Group iRoot (n=22) and Group MTA (n=21). In Group iRoot, bioceramic putty repairmen iRoot was used as pulp capping agent, while in Group MTA, mineral trioxide aggregate was used as pulp capping agent. All the patients had signed informed consent forms. The clinical efficacy was evaluated by clinical examinations (temperature and electrical activity test) and imaging examinations 3, 6, and 12 months after surgery. Blinding was used for the patients and evaluators, but due to the obvious differences in the properties of the two pulp capping agents, the blinding method was not used for the treatment provider (the attending physician). RESULTS: There was no significant difference in gender, average age, dentition and tooth position distribution between the two groups (P>0.05). In the study, 7 cases were lost to follow-up 12 months after operation (4 cases in Group iRoot, and 3 cases in Group MTA). One case in each of the two groups had transient sensitivity at the end of the 3-month follow-up, and the pulp vitality was normal at the end of the 6-month follow-up. One case in Group iRoot showed sensitivity at the end of the 12-month follow-up. The success rates of the two groups at the end of 12-month follow-up were 100%, and the cure rates were 94.4% (Group iRoot) and 100% (Group MTA), respectively, and the difference was not statistically significant (P>0.05). No cases in Group iRoot had obvious crown discoloration, while 3 cases in Group MTA had. CONCLUSION: The clinical characteristics and effectiveness of pulpotomy in mature permanent teeth with bioceramic putty repairmen iRoot were similar with MTA. Bioceramic putty repairmen iRoot is an acceptable material when used in pulpotomy of mature permanent teeth. Because it is not easy to cause tooth discoloration after treatment and is convenient to operate, bioceramic putty repairmen iRoot has a better clinical application prospect.

Retrofitting residential buildings can help mitigate the effects of climate change. Cognitive biases are systematic deviations from rationality in decision making and can lead to inaction, delay, and uncertain decisions. Understanding the cognitive biases involved in residential renovation decisions and developing interventions to overcome them can help increase residential renovation rates. Despite their importance, few studies have examined the impact of cognitive biases on energy retrofits. The question addressed in this study is: “Can accounting for cognitive biases improve the prediction of homeowners’ actual investment decisions, and how can the outcomes be used to recommend potential behavioural interventions?”. Expected Utility Theory (EUT) and Cumulative Prospect Theory (CPT) are compared to evaluate which model(s) more accurately describes actual decision-making behaviour regarding energy retrofits. The EUT assumes a rational decision maker. The CPT is a quantitative model that assumes a decision-maker operating under risk and uncertainty and subject to the cognitive biases of reference dependence, loss aversion, decreasing sensitivity, and probability weighting. The influences of cognitive biases on energy retrofit decisions can be quantified if the relative performance of CPT versus EUT is more accurate. The data for these analyses come from housing surveys conducted in the Netherlands in 2012 and 2018, which also collected data on energy modules. 2,784 and 2,878 homeowners were surveyed, respectively. The model is validated by estimating the coefficients of EUT and CPT and identifying the similarities and differences between the results of the two datasets. Before estimating the parameters, four household clusters are identified using grey relational analysis and the K-Means cluster. For the first time, the EUT and CPT parameters are estimated for four clusters and two energy retrofits, double glazing and insulation, using a genetic algorithm because the equations are nonlinear. The results confirm that CPT provides a better description of the actual decision behaviour than EUT using the two previously established initial values of Layard et al. (2008) and Häckel et al. (2017) as well as the parameters estimated by the genetic algorithm. In the latter case, CPT correctly predicts the decisions of 86% of homeowners to renovate their homes to be energy efficient or not. EUT, on the other hand, overestimates the number of decisions to renovate: it incorrectly predicts retrofit for 52% of homeowners who did not renovate for energy efficiency reasons. Using the estimated parameters of CPT, the cognitive biases of reference dependence, loss aversion, diminishing sensitivity, and probability weighting can be clearly seen for different target groups. The groups with the highest average incomes and house values had the highest loss risk aversion parameters. These households invested more in installing insulation and double glazing.

Given various hindrances in the macro context, how to efficiently develop age-friendly community policies requires further research. Currently, such kinds of frameworks are lacking. This paper aims to develop a policy framework to minimise cost and resolve conflict of interest between different generations in age-friendly community development. The study adopted a scientometric method to review the theoretical development of age-friendly community studies. Firstly, with a search for the keywords “age-friendly” and “community” on Web of Science, 72 English academic papers were found containing explicit theories. Most of the studies were conducted in the Global North. Then, a mixed analytical method was used to find a suitable theory, “the production of space”, to develop the policy framework. Lastly, a policy framework was developed to overcome barriers to age-friendly community development strategically. Echoing previous studies, this paper proposes a way to counter financial austerity in age-friendly initiative investment and balance the consideration for older and younger populations in urban development. For practice, the policy framework can provide a reference for more efficient age-friendly community policymaking in different regions. For future research, the framework provides a model for more empirical studies considering the social dynamics in age-friendly community development.

Objective To demonstrate the in vitro activities of panthenol, palmitoylethanolamide (PEA), and niacinamide (NAM) and determine the biophysical properties, clinical safety, tolerability together with efficacy of two developmental anti‐redness (AR) formulations containing these ingredients, in alleviating facial redness associated with winter xerosis in healthy volunteers with sensitive skin. Methods The anti‐inflammatory and skin protective properties of panthenol, PEA and NAM were evaluated in vitro. The physical properties of the AR formulations were analysed using measurement of water vapour transport rate (WVTR) and infrared spectroscopy. Clinical studies were performed between the months of December and April (2014–2015) with efficacy assessed during the winter. Facial redness, irritation, sensitization potential, photo‐irritation, and photo‐sensitization were evaluated. Self‐assessed adverse reactions were reported in diaries of use. Results Panthenol and PEA reduced prostaglandin E2, interleukin‐6, and thymic stromal lymphopoietin levels in vitro, while NAM induced nicotinamide adenine dinucleotide (NAD) levels and the keratinocyte differentiation markers: filaggrin (2‐fold increase, P, This article demonstrates the in vitro activities of panthenol, palmitoylethanolamide (PEA), and niacinamide (NAM) and determines the biophysical properties, clinical safety, tolerability together with efficacy of two developmental anti‐redness formulations containing these ingredients, in alleviating facial redness associated with winter xerosis in healthy volunteers with sensitive skin.

Metal chalcophosphates, M

The ageing population tends to be seen as a burden of cities’ future development. Thus, the public funds for older residents’ wellbeing are at risk of being cut back under the economic austerity due to the prevalent neoliberalism policy atmosphere. However, some cities set good examples to turn their older citizens into active contributors to sustainable urban development (SUD) by developing age-friendly cities and communities (AFCC). Taking Hong Kong as an example, this study aims to raise a strategy for policymakers, especially at the municipal level, to incorporate the concept of AFCC in SUD. Data were retrieved for our analysis from a published report of the Hong Kong Public Policy Research Fund project. A total of 15 AFCC and SUD policy factors were identified by using factor analysis. The correlations between these policy factors were evaluated and visualised in a synergetic effect network. According to the network, this study indicates that developing the silver hair market can be a suitable entry point to realise SUD by adopting an AFCC development. Isolation prevention, social sustainability and low-energy-consumption development are the supportive policy factors for the silver hair market. Specifically, respect, discrimination prevention, communication and information, age-friendly facilities, environmental safety and public transportation accessibility are five AFCC policy factors incorporated in the policy integration to enhance older residents’ wellbeing further. This study is an innovative attempt to develop a comprehensive model for the synergy between sustainable urban development and an age-friendly city and community using a correlation network. This study also provides a reference for other city governments to respond to population ageing positively.

Purpose Design teams have difficulties in assessing building carbon emissions at an early stage, as most building energy simulation tools require a detailed input of building design for estimation. The purpose of this paper is to develop a user-friendly regression model to estimate carbon emissions of the preliminary design of office buildings in the subtropics by way of example. Five sets of building design parameters, including building configuration, building envelope, design space conditions, building system configuration and occupant behaviour, are considered in this study. Design/methodology/approach Both EnergyPlus and Monte Carlo simulation were used to predict carbon emissions for different combinations of the design parameters. A total of 100,000 simulations were conducted to ensure a full range of simulation results. Based on the simulation results, a regression model was developed to estimate carbon emissions of office buildings based on preliminary design information. Findings The results show that occupant density, annual mean occupancy rate, equipment load, lighting load and chiller coefficient of performance are the top five influential parameters affecting building carbon emissions under the subtropics. Besides, the design parameters of ten office buildings were input into this user-friendly regression model for validation. The results show that the ranking of its simulated carbon emissions for these ten buildings is consistent with the original carbon emissions ranking. Practical implications With the use of this developed regression model, design teams can not only have a simple and quick estimation of carbon emissions based on the building design information at the conceptual stage but also explore design options by understanding the level of reduction in carbon emissions if a certain building design parameter is changed. The study also provides recommendations on building design to reduce carbon emissions of office buildings. Originality/value Limited research has been conducted to date to investigate how the change of building design affects carbon emissions in the subtropics where four distinct seasons lead to significant variations of outdoor temperature and relative humidity. Previous research also did not emphasise on the impact of high-rise office building designs (e.g. small building footprint, high window-to-wall ratio) on carbon emissions. This paper adds value by identifying the influential parameters affecting carbon emissions for a high-rise office building design and allows a handy estimate of building carbon emissions under the subtropical conditions. The same approach may be used for other meteorological conditions.

Ginsenosides Rb1, Rb2 and Re were converted into corresponding intermediates and aglycones using a multienzyme complex produced by Cellulosimicrobium cellulans F16. The whole conversion processes were monitored at different time points by UPLC-PDA-MS. The hydrolysates and the conversion routes were identified using standard samples and electrospray ionization MS. Ginsenosides Rb1, Rb2, and Re were finally converted to the product protopanaxadiol and ginsenoside Rg2. The results indicated that the multienzyme complex Xyl I produced by C. cellulans F16 can be an efficient tool for the transformation of ginsenosides.

Eco-certification schemes are usually launched with various incentives provided by local governments to facilitate green building development and building energy retrofits. A number of barriers to building energy retrofitting have been identified in previous literature, while the barriers to the eco-certification of existing buildings are under-researched. Drawing on a set of building data retrievable from the BEAM Society and other sources, we carried out an analysis and found the building energy retrofitting, as well as the certification process, were unwelcomed in multi-owned residential buildings. The identified shortfall is put forward from the perspectives of transaction cost theory and agency theory. The findings reveal that high transaction costs incurred during negotiations and coordination among a large number of co-owners within a typical apartment building can outweigh the benefits of retrofitting and eco-certification. Besides, the remuneration structure of third-party property management agents discourages agents from facilitating co-owners to initiate retrofitting. This study provides significant implications for policymakers to understand the concerns of building owners and managers over the decisions and the processes of both the building energy retrofits and eco-certification. The problems and barriers unveiled in this study will facilitate the refining of current energy efficiency policies and related incentives designs.

The process of residential energy retrofitting needs to be advanced, especially in the hot summer and cold winter (HSCW) zone of China. Good cooperation from homeowners is the key to the smooth project implementation. Some studies have identified four categories of information as important factors affecting homeowners' decision-making in retrofitting. Such information can improve homeowners' cooperation to some extent. This paper investigates the nature of this influence mechanism of retrofitting information, so as to stimulate homeowners' cooperation. The authors, first, explain how the direct relationship between information and homeowners' level of cooperation is validated. Second, under the mediation role of risk perception, we verify the indirect influence of such information. Third, we analyse the variation in the strength of the relationships between information and homeowners' cooperation under the influence of source credibility. It is concluded that providing information on retrofitting benefits and service is more effective for improving homeowners’ cooperation. The integrity of building quality information and the understandability, to the homeowners, of technology information need to be considered. Priority should be given to the sources of expert knowledge and published resources, because they are perceived by homeowners to be relatively credible. Policy suggestions are proposed based on the results.

To be successful, energy renovation construction programs in northern China require both proper understanding of the causes of quality failures and effective strategies for renovating existing residential buildings for energy savings. However, surprisingly, although in recent years more attention has been focused on studying quality failures and reducing their causes, such failures still frequently occur in building energy renovation projects. In practice, the causes are not isolated, but rather, stem from complex correlations that impede high-quality performance. Due to their neglect of the causal relationships among these factors in quality failures, project coordinators have been unsuccessful in managing the quality of construction projects. Considering a network of different causes, this work reports on efforts to identify and manage the causes of quality failures in construction processes. A new understanding of the nature of these causes was achieved by considering four sources of data: literature review, opinions of experts, interpretive structural modeling (ISM), and focus groups. Our analysis shows that not only do many causes directly influence construction quality in building energy renovation projects, but also these causes interact with each other. It is noteworthy that external causes remain associated with all internal causes. Drivers of these causes are lack of experienced project managers, unauthorized changes in design documents, incomplete building information in projects, and poor onsite coordination; eliminating them enables solutions to a number of other internal causes. Finally, solutions are proposed to improve the current situation. These solutions fall into the categories of people, materials and equipment, design, and organization, based on the quality management process. The findings of this work provide valuable information for helping both policy makers and practitioners adopt effective policies and measures to manage the construction quality of building energy renovation projects.

The Deep Underground Neutrino Experiment (DUNE) will be a powerful tool for a variety of physics topics. The high-intensity proton beams provide a large neutrino flux, sampled by a near detector system consisting of a combination of capable precision detectors, and by the massive far detector system located deep underground. This configuration sets up DUNE as a machine for discovery, as it enables opportunities not only to perform precision neutrino measurements that may uncover deviations from the present three-flavor mixing paradigm, but also to discover new particles and unveil new interactions and symmetries beyond those predicted in the Standard Model (SM). Of the many potential beyond the Standard Model (BSM) topics DUNE will probe, this paper presents a selection of studies quantifying DUNE's sensitivities to sterile neutrino mixing, heavy neutral leptons, non-standard interactions, CPT symmetry violation, Lorentz invariance violation, neutrino trident production, dark matter from both beam induced and cosmogenic sources, baryon number violation, and other new physics topics that complement those at high-energy colliders and significantly extend the present reach.

Prefabrication has the potential to improve the efficiency and sustainability of housing production. However, there are various challenges in the realization of prefabricated housing (PH) from the stakeholder's perspective. Transaction costs (TCs) theory provides a particular angle that explains the invisible costs within transactions. This study aims to explore how perceptions of TCs vary for stakeholder groups and show the potential to reduce TCs in China. The distribution of TCs related to stages and stakeholders was investigated by a literature study and validated by expert interviews. Further, an existing framework of TCs was adopted to conduct a questionnaire survey for collecting perceptions of TCs from six stakeholder groups. The findings show that assembly, detailed design, and design change are the most highlighted TCs of PH. In particular, the component supplierscomplained of TCs from the points of detailed design and hiring skilled labor. The local governmentemphasized TCs on monitoring and enforcement in assembly, architectural design, and component transportation. This research contributes to the construction management community by acknowledging stakeholders in understanding their TCs, which also inspires the policy makers to reduce significant TCs to smooth transactions for the future of China's PH market.

Over half of all residential buildings in the Netherlands are owner-occupied. In this study, the influence of behavioural factors on individual decisions toward energy efficiency renovations (EERs) was investigated. This study focused on contextual (e.g. building characteristics), personal (e.g. awareness of energy consumption), and motivational factors (e.g. improving comfort). Logistic regression analyses were selected as the preferred method of analysis. The Netherlands’s housing survey energy modules, which was conducted in 2018, was the basis of these analyses. 2878 homeowners were surveyed. Behavioural factors that influence the homeowners’ decisions were investigated for four types of EERs: (1) double glazing, (2) insulation, (3) photovoltaic (PV) panel, and (4) sustainable heating. It was found that homeowners’ preferences for double glazing were mainly influenced by the characteristics of the building and household and motivation to adopt EERs. Similarly, insulation and PV panels were to be mainly influenced by building characteristics. For sustainable heating, a combination of building and household characteristics and personal factors (e.g. deliberate gas reduction) influenced the decisions regarding this EER. None of the personal factors had a significant impact on the decisions regarding installation of double glazing; in contrast, the installation of PV panels was found to be highly influenced by these factors.

Inflammatory bowel disease is becoming more and more common in western countries and less common in China. However, with the change of dietary structure, the incidence of inflammatory bowel disease is also increasing in China. It will cause abdominal pain, diarrhea and mucus, pus and blood, which are repeatedly delayed and difficult to alleviate. To explore the effectiveness of probiotics in the treatment of inflammatory bowel disease, Lactobacillus plantarum in probiotics and fifteen 8 w old female mice were selected for the experiment. We divided the mice into three groups: blank control group, interleukin-10 group and interleukin-10+Lactobacillus plantarum group. The interleukin-10+Lactobacillus plantarum group was gavaged with 0.5 ml of Lactobacillus plantarum bacterial solution (1.0×109 CFU/ml) every d. The blank control group and interleukin-10 group were gavaged with 0.5 ml of Ringer buffer for 4 consecutive w and compared the changes caused by Lactobacillus plantarum on Bifidobacterium, Lactobacillus, Clostridium perfringens and Enterobacter in the intestinal flora of mice and the changes caused by Lactobacillus plantarum on the intestinal flora effect of bacterial translocation in membranous lymph nodes and spleen. We found that the content of Enterobacter in the blank control group was the lowest at all three time points, with an average of 6. The content of Enterobacter in the interleukin-10+Lactobacillus plantarum group and the interleukin-10 group was 6.5 and 6.6 respectively, at the beginning of 0 w and 6.3 at the beginning of 2 w but after the 4 w, the content of Enterobacter in the two groups became 6.4 and 6.7, the difference increased.

The deep underground neutrino experiment (DUNE), a 40-kton underground liquid argon time projection chamber experiment, will be sensitive to the electron-neutrino flavor component of the burst of neutrinos expected from the next Galactic core-collapse supernova. Such an observation will bring unique insight into the astrophysics of core collapse as well as into the properties of neutrinos. The general capabilities of DUNE for neutrino detection in the relevant few- to few-tens-of-MeV neutrino energy range will be described. As an example, DUNE’s ability to constrain the νe spectral parameters of the neutrino burst will be considered. © 2021, The Author(s).

Summary Shale reservoirs are characterized by its low porosity and permeability, strong heterogeneity and intensive anisotropy. Conventional geophysical methods are far from perfect when it comes to the prediction of shale sweet - spot. Based on algorithms such as fuzzy mathematics, machine learning and multiple regression analysis, an effective workflow is proposed to allow intelligent prediction of sweet - spots location and comprehensive quantitative characterization of shale oil and gas reservoirs. This workflow can effectively combine multi-scale and multi-disciplinary data such as geology, well drilling, well logging and seismic measurements. Following the maximum subordination and attribute optimization principle, we establish a machine-learning model by adopting the support vector machine method to arrive at multi-attribute prediction of reservoir sweet - spot location. Additionally, multiple regression analysis technology is applied to allow the quantification of a number of sweet-spot attributes. The practical application of these methods to areas of interest shows high accuracy and resolution of sweet - spot prediction, indicating that it is a good approach for describing the distribution of high quality regions within shale oil and gas reservoirs. Based on these sweet-spot attributes, quantitative characterization of unconventional reservoirs can provide a reliable evaluation of shale reservoir potential.

To investigate the prevalence and risk factors ofA cross-sectional questionnaire survey was conducted among AIDS patients in Nanchang City during the period between May and September, 2016.A survey was conducted in Nanchang City from May to September 2016. A total of 505 AIDS patients were investigated, and the prevalence ofThe prevalence of

Small angle neutron scattering (SANS) studies of a model pharmaceutical formulation reveal how formulation stability depends on the compatibility of individual components. Solutions of two common protein formulation excipients, polysorbate 80 (PS80), a nonionic surfactant that prevents aggregation, and m-cresol, an antimicrobial agent for multi-dose injectable formulations, are investigated. The addition of m-cresol to PS80 solutions leads to solution turbidity and irreversibly alters PS80 micelle morphology. This slow preservative-induced destabilization of PS80 micelles progresses over days or even weeks, which highlights the essential role that aggregation kinetics plays in preservative-surfactant interactions. The temperature-dependence of PS80 micelle growth kinetics is quantified by SANS in the presence of m-cresol. Aggregation is a two-step process, where initial formation of small aggregates is followed by a period of monotonic power-law growth, providing evidence for the mechanism. Total aggregate mass stays constant after initial aggregate formation, and addition of a pH-regulating citrate buffer dramatically accelerates aggregation kinetics.

The automatic classification technology of remote sensing images is the key technology to extract the rich geo-information in remote sensing images and to monitor the dynamic changes of land use and ecological environment. Remote sensing images have the characteristics of large amount of information and many dimensions. Therefore, how to classify and extract the information in remote sensing images has become a crucial issue in the field of remote sensing science. With the development of neural network theory, many scholars have carried out research on the application of neural network models in remote sensing image classification. However, there are still some problems to be solved in artificial neural network methods. In this study, considering the problem of large-scale land classification for medium resolution and multi-spectral remote sensing imagery, an improved machine learning algorithm based on extreme learning machine for remote sensing classification has been developed via regularization theory. The improved algorithm is more suitable for the application of post-classification change monitoring of features in large scale imaging. In this study, our main job is to evaluate the performance of ELM with A-optimal design regularization (here we call it simply as A-optimal RELM). So the accuracy and efficiency of A-optimal RELM algorithm for remote sensing imagery classification, as well as the algorithms of support vector machine (SVM) and original ELM are compared in the experiments. The experimental results show that A-optimal RELM performs the best on all three different images with overall accuracy of 97.27% and 95.03% respectively. Besides, the A-optimal RELM performs better on the details of distinguish similar and confusing terrestrial object pixels.

Purpose: To identify the invasiveness of pulmonary ground-glass opacity (GGO) by analysing clinical and radiomic features. Materials and methods: Patients with pulmonary GGOs between 2014 and 2019 were included. Clinical features were collected, and radiomic features were extracted from CT data by 3D Slicer software. Predictors of invasiveness of GGO were selected by least absolute shrinkage and selection operator (LASSO) logistic regression analysis, and receiver operating characteristic (ROC) curves were drawn for each prediction model. Results: A total of 195 GGOs were included in this study. Maximum_diameter, CTR and 2 radiomic features were significant predictors of invasive GGOs. The area under the ROC curve (AUC) for prediction models of clinical and radiomic features were 0.84 and 0.809, respectively, and the AUC for the combined prediction model was 0.848. Finally, a nomogram was established for individualized invasiveness prediction. Conclusions: The combination of radiomic features with clinical features can enable differentiation between preinvasive and invasive GGOs. Maximum_diameter>1.3 cm, CTR>0.27 and a higher waveletLHLglcmIdmn were significant factors for predicting invasiveness.

Building energy renovations can effectively improve the environmental performance and energy sustainability of existing buildings. From 2007 onwards, the Chinese government has promoted energy-saving renovations of existing urban residential buildings. Nevertheless, various quality failures happen during the construction period in energy-saving renovation projects of residential buildings. Yet, the causes and their characters remain largely unknown. Through a literature review, this paper investigates the causes of quality failures. Validated through experts&rsquo, interviews, a total of 18 causes were identified in building energy renovation projects. These causes were analyzed from two main aspects: the importance of a cause (related to impact and frequency), and the level of effort required to address a cause (related to origin and scale), using both a questionnaire survey and a focus group. The results indicate that the critical causes of quality failures are working under high-cost and high-time pressure, adverse natural conditions, fraud of construction companies, incomplete construction site survey, poor checking procedures of supervisors, poor operational skilled workers, inadequate equipment performance, lack of experienced project managers, and incomplete building information in projects. The causes were classified as external and internal causes of building energy renovation projects. The outcome of this paper should aid policy makers and project coordinators to focus on critical causes of quality failures, and to develop effective actions and policy interventions to achieve successful renovation projects with high-quality performance.

This study aims to investigate the expression characteristics of Krüppel-like factor 5 (KLF5) in gastric cancer (GC) and its potential correlation to pathological indexes in GC patients. Molecular mechanisms underlying the regulatory effect of KLF5 on GC progression are explored.KLF5 expressions in GC tissues were analyzed through GEPIA dataset and those collected in our hospital. By analyzing the clinical data of GC patients, the correlation between KLF5 level and pathological characteristics of GC was determined. The regulatory effects of KLF5 on proliferative ability and cell cycle progression of SGC7901 and MGC803 cells were assessed by Cell Counting Kit-8 (CCK-8), 5-Ethynyl-2'-deoxyuridine (EdU) assay, and flow cytometry. The regulation of KLF5 on expression levels of p21 and CDK4 in GC cells was determined by quantitative Real Time-Polymerase Chain Reaction (qRT-PCR) and Western blot.KLF5 was markedly upregulated in GC tissues. KLF5 level was positively correlated to TNM staging, tumor size, and metastasis of GC. Meanwhile, high level of KLF5 predicted poor prognosis in GC patients. The knockdown of KLF5 in SGC7901 and MGC803 cells attenuated proliferative ability and arrested cell cycle in G0/G1 phase. Both mRNA and the protein levels of p21 were upregulated, and CDK4 levels were downregulated in SGC7901 and MGC803 cells transfected with si-KLF5.KLF5 is upregulated in GC and closely linked to pathological characteristics of GC patients. High level of KLF5 indicates poor prognosis of GC. It is believed that KLF5 may be a potential therapeutic target for GC.

Two-dimensional (2D) materials have been studied extensively as monolayers 1-5, vertical or lateral heterostructures 6-8. To achieve functionalization, monolayers are often patterned using soft lithography and selectively decorated with molecules 9,10. Here we demonstrate the growth of a family of 2D materials that are intrinsically patterned. We demonstrate that a monolayer of PtSe2 can be grown on a Pt substrate in the form of a triangular pattern of alternating 1T and 1H phases. Moreover, we show that, in a monolayer of CuSe grown on a Cu substrate, strain relaxation leads to periodic patterns of triangular nanopores with uniform size. Adsorption of different species at preferred pattern sites is also achieved, demonstrating that these materials can serve as templates for selective self-assembly of molecules or nanoclusters, as well as for the functionalization of the same substrate with two different species.

The implementation of energy retrofit of residential buildings faces many risks around the world, especially in China, leading to low retrofit progress. Stakeholders&rsquo, proactive risk management is the key to the smooth implementation of retrofit projects but is normally affected by risk perception. Perceived risks instead of real risks are the motivators of their proactive behaviours. This paper aims to understand and address the present risk perception of stakeholders in order to drive effective proactive risk mitigation practices. Based on a risk list identified through a literature review and interviews, a questionnaire survey was then made to analyse and compare different stakeholders&rsquo, perceptions of each risk by measuring the levels of their concern about risks. It is validated that all the stakeholder groups tend to mitigate risks perceived highly proactively. Proactive risk management of risk-source-related stakeholders deserves more attention and responsibility-sharing with transaction costs (TCs) considerations contribute to the enhancement of risk perception. More responsibilities of construction quality and maintenance is taken by the government and contractors should be clarified, and the government should also be responsible for assisting design work. Effective information is beneficial to the decrease in homeowners&rsquo, risk perception that can motivate their initiative of cooperation.

For cities facing post-industrial transition, urban greenways are proven strategies to activate urban spaces and improve the sustainability of cities. However, significant challenges remain when seeking to link greenways as a greenway network and integrate greenway networks to urban spaces. Given this shortcoming, Yantai National Economic and Technical Development Zone (YEDZ) was selected as a representative case. This paper analyzed the potential role of greenway network and requirements of post-industrial development for the urban environment. It seeks to develop a regeneration approach that integrating urban greenway planning with overall urban reform. Our priorities are providing a pedestrian network with non-utilitarian rhythms by activating former industrial spaces, restructuring urban green spaces, and integrating greenway networks into diverse urban spaces. In this way, it reveals the comprehensive benefits of the urban greenway network and improves overall urban form - multiple benefits, including economic development and social rewards, be created in the regeneration.