Locklearbernstein2781

In order to satisfy the needs of different applications and more complex intelligent devices, smart control of surface wettability will be necessary and desirable, which gradually become a hot spot and focus in the field of interface wetting. Herein, we review interfacial wetting states related to switchable wettability on superwettable materials, including several classical wetting models and liquid adhesive behaviors based on the surface of natural creatures with special wettability. This review mainly focuses on the recent developments of the smart surfaces with switchable wettability and the corresponding regulatory mechanisms under external stimuli, which is mainly governed by the transformation of surface chemical composition and geometrical structures. Among that, various external stimuli such as physical stimulation (temperature, light, electric, magnetic, mechanical stress), chemical stimulation (pH, ion, solvent) and dual or multi-triggered stimulation have been sought out to realize the regulation of surface wettability. Moreover, we also summarize the applications of smart surfaces in different fields, such as oil/water separation, programmable transportation, anti-biofouling, detection and delivery, smart soft robotic etc. Furthermore, current limitations and future perspective in the development of smart wetting surfaces are also given. This review aims to offer deep insights into the recent developments and responsive mechanisms in smart biomimetic surfaces with switchable wettability under external various stimuli, so as to provide a guidance for the design of smart surfaces and expand the scope of both fundamental research and practical applications.The purpose of this paper is to show in regression clustering how to choose the most relevant solutions, analyze their stability, and provide information about best combinations of optimal number of groups, restriction factor among the error variance across groups and level of trimming. The procedure is based on two steps. First we generalize the information criteria of constrained robust multivariate clustering to the case of clustering weighted models. Differently from the traditional approaches which are based on the choice of the best solution found minimizing an information criterion (i.e. BIC), we concentrate our attention on the so called optimal stable solutions. In the second step, using the monitoring approach, we select the best value of the trimming factor. Finally, we validate the solution using a confirmatory forward search approach. R16 ic50 A motivating example based on a novel dataset concerning the European Union trade of face masks shows the limitations of the current existing procedures. The suggested approach is initially applied to a set of well known datasets in the literature of robust regression clustering. Then, we focus our attention on a set of international trade datasets and we provide a novel informative way of updating the subset in the random start approach. The Supplementary material, in the spirit of the Special Issue, deepens the analysis of trade data and compares the suggested approach with the existing ones available in the literature.

Singapore, a city-state with a multi-ethnic Asian population, has one of the world's largest market shares for cigarettes with added flavors, such as menthol and fruit, which increase the appeal of smoking. Little is known on the sociodemographic or smoking-related traits associated with flavored cigarette use in the Asian context.

A cross-sectional survey was conducted in January-March 2020 of 1123 Singaporean adult (aged 21-69 years) current smokers using a self-completed online or postal questionnaire. We used descriptive statistics and bivariate analyses to compare the answers of flavored and non-flavored cigarette users and fitted a multivariate logistic regression model to identify correlates of flavored cigarette use.

Of the respondents, 85.2% reported ever use and 52.7% of respondents with a regular brand reported current use of flavored cigarettes. Older age 40-49 years (AOR= 0.63) age ≥50 years (AOR=0.60), Indian ethnicity (AOR=0.39), and a moderate (AOR=0.57) or high (AOR=0.34) dependence level were correlated with non-flavored cigarette use, while female gender (AOR=2.53) and a later initiation age (16-20 years AOR=1.72; age ≥21 years AOR=2.19) were correlated with flavored cigarette use.

Consistent with findings from other countries, flavored cigarette use in Singapore is associated with being younger in age, female, of a certain ethnicity (Malay or Chinese), and having a lower nicotine dependence level.

Consistent with findings from other countries, flavored cigarette use in Singapore is associated with being younger in age, female, of a certain ethnicity (Malay or Chinese), and having a lower nicotine dependence level.

Endothelial Progenitor Cells (EPCs) are part of hematopoietic stem cells that differentiate into endothelial cells during their blood vessels' maturation process. The role of EPCs is widely known to contribute to repair of the vascular wall when endothelial dysfunction occurs. However, various risk factors for cardiovascular disease (CVD) influence EPC performance, leading to endothelial dysfunction. One EPC dysfunction is decreased amount of EPC mobilization to the injured tissue. EPC dysfunction reduces the angiogenetic function of EPCs. The vital maturation process that the EPCs must pass is the late phase. The dysfunction of late EPCs is known as senescence. This study aimed to identify and compare senescence of late EPCs, through CD62E and CD41 markers, in non-smokers and smokers as a risk factor for CVD.

EPC collection was from peripheral mononuclear cells (PBMCs) in non-smokers (n=30) and smokers (n=31). The EPCs were then marked by CD62E/CD41 and senescence β-galactosidase assay using FACS. Identification of senescence cells was based on fluorescence with DAPI.

Positive percentage of late EPCs in non-smokers was not significantly different from that in smokers (p=0.014). The number of senescent late EPCs in smokers was higher than in non-smokers (p<0.0001).

Endothelial progenitor cells that experienced senescence in the smokers showed EPC dysfunction, which resulted in decreased cell angiogenic function. Further research is needed to explain the mechanism of re-endothelialization failure in EPC dysfunction due to smoking.

Endothelial progenitor cells that experienced senescence in the smokers showed EPC dysfunction, which resulted in decreased cell angiogenic function. Further research is needed to explain the mechanism of re-endothelialization failure in EPC dysfunction due to smoking.