Study of the cluster composition of pollen particles entering the atmosphere during the bloom of anemophilic plants

2019 ◽  
Keyword(s):  
Cluster Composition

scholarly journals Changing cluster composition in cluster randomised controlled trials: design and analysis considerations

Trials ◽  
2014 ◽  
Vol 15 (1) ◽  
pp. 184 ◽  
Author(s):  
Neil Corrigan ◽  
Michael J G Bankart ◽  
Laura J Gray ◽  
Karen L Smith
Keyword(s):  
Randomised Controlled Trials ◽  
Controlled Trials ◽  
Cluster Randomised ◽  
Cluster Composition ◽  
Randomised Controlled

scholarly journals Different patterns of behavioural and emotional difficulties through adolescence: The influence of prosocial skills

2016 ◽  
Vol 33 (1) ◽  
pp. 48 ◽  
Author(s):  
Javier Ortuño-Sierra ◽  
Eduardo Fonseca-Pedrero ◽  
Sylvia Sastre i Riba ◽  
José Muñiz
Keyword(s):  
Age Groups ◽  
Cluster Solution ◽  
Emotional Difficulties ◽  
Prosocial Skills ◽  
School Based ◽  
Gender And Age ◽  
Behavioural Patterns ◽  
Cluster Composition ◽  
Strengths And Difficulties ◽  
Internalizing Difficulties

<p>The main purpose of the study was to examine the cluster composition of the analysis on the effect of gender and age of the Strengths and Difficulties Questionnaire (SDQ) in a large school-based sample of high school adolescents ranging from 14 to 18 years old (<em>N</em> =  1474). In order to do this, a K-means iterative cluster analysis was performed. A five-cluster solution turned out to be the most parsimonious in the differentiation of emotional and behavioural patterns. A five-cluster solution yielded the following patterns: “No difficulties and high prosocial scores” (<em>n </em>= 418; 28.36%), “high difficulties and low prosocial scores” (<em>n</em> = 239; 16.21%), “high on hyperactivity, low on the rest of the difficulties subscales, and high in prosocial capabilities” (<em>n</em> = 302; 20.49%), “high on emotional and peer problems, relatively low on conduct and hyperactivity, and high in prosocial capabilities” (<em>n</em> = 275; 18.66%), and finally “hyperactivity problems and average in the others difficulties subscales, and in prosocial capabilities” (<em>n</em> = 239; 16.21%). This cluster solution was replicated attending to the same gender and age groups. Nevertheless, differences in the distribution of the cluster composition suggest that difficulties differ by gender and age. The results allow for the conclusion that men reveal a greater number of problems of an externalizing nature whereas women indicate a greater degree of problems with internalizing difficulties and prosocial skills.</p>

Determination of Cluster Composition in Heteroaggregation of Binary Particle Systems by Flow Cytometry

Langmuir ◽  
2008 ◽  
Vol 24 (23) ◽  
pp. 13348-13358 ◽  
Author(s):  
Sascha Rollié ◽  
Kai Sundmacher
Keyword(s):  
Flow Cytometry ◽  
Particle Systems ◽  
Cluster Composition

Improved identification of evaporation rates and thermodynamic data by Monte-Carlo method

2020 ◽  
Author(s):  
Anna Shcherbacheva ◽  
Tapio Helin ◽  
Heikki Haario ◽  
Hanna Vehkamäki
Keyword(s):  
Monte Carlo ◽  
Sulfuric Acid ◽  
Thermodynamic Data ◽  
Particle Formation ◽  
Forward Problem ◽  
Dependent Data ◽  
New Particle Formation ◽  
Free Energies ◽  
Wide Range ◽  
Cluster Composition

&lt;p&gt;Atmospheric new particle formation and successive cluster growth to aerosol particles is an important field of research, in particular due to climate change phenomena and air quality monitoring. Recent developments in the instrumentation have enabled quantification of ionic clusters formed in the gas phase at the first steps of particle formation under atmospherically relevant mixing ratios. However, electrically neutral clusters are prevalent in atmospheric conditions, and thus must be charged prior to detection by mass spectrometer. The charging process can lead to cluster fragmentation and thus alter the measured cluster composition.&lt;/p&gt;&lt;p&gt;Even when the cluster composition can be measured directly, this does not quantify individual cluster-level properties, such as cluster collision and evaporation rates. Collision rates contain relatively small uncertainties in comparison to evaporation rates, which are computed using detailed balance assumption together with the free energies of cluster formation, which can in turn be obtained from Quantum chemistry (QC) methods. As evaporation rates depend exponentially on the free energies, even difference by several kcal/mol between different QC methods results in orders of magnitude differences in evaporation rates.&lt;/p&gt;&lt;p&gt;On the other hand, in spite of the error margins associated with the evaporation rates, simulations of cluster populations, which incorporate collision and evaporation rates as free parameters (such as Becker-D&amp;#246;ring models), have demonstrated good qualitative agreement with experimental data. The Becker-D&amp;#246;ring equations are a system of Ordinary Differential equations (ODE) which account for cluster birth and death processes, as well as external sinks and sources. In mathematical terms, prediction of cluster concentrations using kinetic simulations with given cluster collision and evaporation rates is called a forward problem.&lt;/p&gt;&lt;p&gt;In the present study, we focus on the so-called inverse problem of how to derive the evaporation rates and thermodynamic data (enthalpy change and entropy change due to addition or removal of molecule) from available measurements, rather than on the forward problem. We do this by Delayed Rejection Adaptive Monte Carlo (DRAM) method for the system containing sulfuric acid and ammonia with the maximal size of the pentamer. Initially, we tested the method on the synthetic data created from Atmospheric Cluster Dynamic Code (ACDC) simulations. By so doing, we identify the combination of fitted parameters and concentration measurements, which leads to the best identification of the evaporation rates. Additionally, we demonstrated that the temperature-dependent data yield better estimates of the evaporation rates as compared to the time-dependent data measured before the system has reached the steady state.&lt;/p&gt;&lt;p&gt;Next, we apply the technique to improve the identification of the evaporation rates from CLOUD chamber data, which contain cluster concentrations and new particle formation rates measured at different temperatures and a wide range of atmospherically relevant sulfuric acid and ammonia concentrations. As a result, we were able to obtain the probability density functions (PDFs) that show small standard variations for thermodynamic data. By using the values from the PDFs as parameters in the ACDC model, we achieve a fair agreement with the measured NPFs and cluster concentrations for a wide range of temperatures.&lt;/p&gt;

The water tourism cluster development

10.12737/6689 ◽  
2014 ◽  
Vol 8 (6) ◽  
pp. 63-72
Author(s):  
Алексей Пучкин ◽  
Aleksey Puchkin
Keyword(s):  
Tourist Industry ◽  
Cluster Development ◽  
Domestic Science ◽  
Analysis Methods ◽  
Infrastructure Design ◽  
Composition Determination ◽  
Cluster Composition ◽  
Common Understanding

The water tourist resources phenomenon has not been studied in-depth in domestic science, in spite of fact that the water tourist resources are one of the traditional tourist attractors. In particular, there is no any common understanding of the water tourism cluster essence and structure. It often causes the tourist demands misunderstanding, gaps and omissions in such cluster infrastructure design. The article contents the main results of the water tourist cluster composition determination analysis methods, the water tourism cluster participant membership and typology specification, as well as the water tourist industry subjects grouping, based on the tourists needs characteristic.

Impact of an outpatient interdisciplinary team (IDT) consultation on symptom clusters in advanced cancer patients seen at a supportive care outpatient clinic (OSC) in a tertiary cancer center

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e20542-e20542
Author(s):  
S. Yennurajalingam ◽  
D. L. Urbauer ◽  
R. Chacko ◽  
D. Hui ◽  
Y. A. Amin ◽  
...  
Keyword(s):  
Cancer Patients ◽  
Advanced Cancer ◽  
Interdisciplinary Team ◽  
Well Being ◽  
Symptom Clusters ◽  
Advanced Cancer Patients ◽  
Edmonton Symptom Assessment Scale ◽  
Cluster Composition ◽  
The Impact

e20542 Background: Advanced cancer patients develop severe physical and psychosocial symptom clusters. There is limited data on the impact of an outpatient interdisciplinary team (IDT) consultation lead by palliative care specialists on symptom clusters. Cluster composition and consistence, response rate and predictors of response are unknown. Methods: 914 consecutive patients with advanced cancer presenting in the OSC from Jan 2003 to Oct 2008 with a complete Edmonton symptom assessment scale at the initial and follow-up visit (median 14 days, range 1–4 wks), and CAGE status (alcohol screening) were reviewed. Wilcoxon ranked sign test was used to determine whether symptoms changed over time. Principal components factor analysis with varimax rotation was used to determine clusters of symptoms at baseline and at follow-up. The number of factors calculated was determined based upon the number of eigen values that were greater than one. Results: Median age was 59 yrs, female were 46%. The most common primary cancer was Lung (19%). Baseline and follow-up visit scores (mean, SD) were: fatigue 5.7 (2.1) and 5.2 (2.2, p<0.0001), pain 4.9 (2.6) and 4.1 (2.6 p<0.0001), nausea 1.8 (2.4) and 1.7 (2.3, p=0.1), depression 2.6 (2.5) and 2.2(2.4,p<0.0001), anxiety 2.9 (2.7) and 2.4 (2.4, p<0.0001), drowsiness 3.2 (2.8) and 3.2 (2.6, p=0.7), dyspnea 2.6 (2.7) and 2.4 (2.6), p=0.0027), appetite 4.2(2.7) and 3.9 (2.7, p<0.0001), sleep 4.2 (2.6) and 3.8 (2.6, p<0.0001) and well being 4.3 (2.5) and 3.9 (2.3, p<0.0001). During the follow- up the symptom clusters varied from a 3 factor to a 2 factor model, reflecting the impact of the IDT on symptom burden. CAGE positive and CAGE negative patients had a significantly different symptom cluster model. Conclusions: Cluster composition differs when patients are assessed and managed by an IDT and among patients who screen positive for alcoholism. [Table: see text] No significant financial relationships to disclose.

Kinetic control of Ge(Si)∕Si(100) dome cluster composition

2005 ◽  
Vol 87 (22) ◽  
pp. 223101 ◽  
Author(s):  
E. P. McDaniel ◽  
Qian Jiang ◽  
P. A. Crozier ◽  
Jeff Drucker ◽  
David J. Smith
Keyword(s):  
Kinetic Control ◽  
Cluster Composition
Sign in / Sign up

Export Citation Format

Share Document