scholarly journals Evaluation of European mistletoe (Viscum album L.) infection in the Castle Park in Lednice

Author(s):  
Tivadar Baltazár ◽  
Miloš Pejchal ◽  
Ildikó Varga

This experiment focused on the evaluation of mistletoe infection (Viscum albumL.) in main sections of the castle park in Lednice. The study evaluates the proportion of affected and unaffected individuals of host taxa and the intensity of their infestation. ForAcer campestreandTilia cordataone-way ANOVA was used to detect the difference among the number of mistletoe bushes and tree age, development stage, vitality and location. For the modelling of mistletoe infection probability also the dependence on these and other continuous explanatory variables (height and crown volume) was used for logistic regression with binomial distribution. Our results show that number of mistletoe on trees within same taxa increases with the tree age and with the lower tree vitality, but there is large difference between the hosts. Due to the results of logistic regression, the same factors also have strong impact on the probability of mistletoe infection, e.g. tree age and tree vitality. In this case no large differences were found between the hosts.

Author(s):  
Tivadar Baltazár ◽  
Miloš Pejchal ◽  
Ildikó Varga

The European mistletoe (Viscum album) infection intensity and frequency of their host taxa individuals was monitored within the sections of the Castle Park in Lednice during the last four years. The data analysis was carried out only with these infected host taxa which occur in the park the most frequently:Acer campestre,A. platanoides,A. pseudoplatanus,Crataegus monogyna,C. pedicellata,Juglans nigra,Robinia pseudoacacia,Tilia cordataandT. platyphyllos. For the statistical modelling it was used total 3039 individuals, among them 1424 are already infected by mistletoe (47%). Nine local factors (tree age, development stage, location of individuals, physiological and biomechanical aspect of vitality, tree height, diameter at breast height, crown projection area and crown volume) were examined with dependence on mistletoe infection. Due to our results, all of examined factors have strong impact to the infection in the majority of host taxa; except of vitality, this relationship is directly proportional. No statistical significant impact was observed in case ofCrataegus pedicellata. There is a big difference among the hosts, the largest mistletoe amount was observed in case ofJuglans nigra. It was also proved that neither host nor mistletoe distribution are spread uniformly.


Membranes ◽  
2021 ◽  
Vol 11 (7) ◽  
pp. 460
Author(s):  
Bastiaan Blankert ◽  
Bart Van der Bruggen ◽  
Amy E. Childress ◽  
Noreddine Ghaffour ◽  
Johannes S. Vrouwenvelder

The manner in which membrane-fouling experiments are conducted and how fouling performance data are represented have a strong impact on both how the data are interpreted and on the conclusions that may be drawn. We provide a couple of examples to prove that it is possible to obtain misleading conclusions from commonly used representations of fouling data. Although the illustrative example revolves around dead-end ultrafiltration, the underlying principles are applicable to a wider range of membrane processes. When choosing the experimental conditions and how to represent fouling data, there are three main factors that should be considered: (I) the foulant mass is principally related to the filtered volume; (II) the filtration flux can exacerbate fouling effects (e.g., concentration polarization and cake compression); and (III) the practice of normalization, as in dividing by an initial value, disregards the difference in driving force and divides the fouling effect by different numbers. Thus, a bias may occur that favors the experimental condition with the lower filtration flux and the less-permeable membrane. It is recommended to: (I) avoid relative fouling performance indicators, such as relative flux decline (J/J0); (II) use resistance vs. specific volume; and (III) use flux-controlled experiments for fouling performance evaluation.


2021 ◽  
Vol 13 (3) ◽  
pp. 1207
Author(s):  
Misato Uehara ◽  
Makoto Fujii ◽  
Kazuki Kobayashi

Research on stress related to the COVID-19 pandemic has been dominated by the cases of healthcare workers, students, patients, and their stress during the COVID-19 pandemic. This study examined the relationship between the amount of stress change under the COVID-19 pandemic and demographic factors (age, sex, occupation, etc.) in residents of a large city and a rural area of Japan. A total of 1331 valid responses were received in June 2020 from residents of Tokyo, Osaka, and Nagano registered with a private research firm. We were able to identify 15 statistically significant variables out of 36 explanatory variables, which explained the significant increase in stress compared to the pre-pandemic period. Multiple-factor analysis showed that the relationship with people is a more significant explanatory variable for the level of increase in stress than the difference in environment between big cities (Tokyo, Osaka) and rural areas (Nagano), the type of housing, and the decrease in income compared to the pre-pandemic period.


2020 ◽  
Vol 26 (Supplement_1) ◽  
pp. S48-S48
Author(s):  
Hartman Brunt ◽  
Mason Adams ◽  
Michael Barker ◽  
Diana Hamer ◽  
J C Chapman

Abstract Purpose Crohn’s disease (CD) is an inflammatory bowel disease (IBD) caused by an abnormal immune response to intestinal microbes in a genetically susceptible host. The objective of this cohort analysis is to compare demographic characteristics, cost difference, and treatment modalities between patients who were discharged from the Emergency Department (ED) and those who were admitted to the hospital. Methods This study is a retrospective chart review of adult patients diagnosed with CD who were discharged from the ED and those who were admitted to the hospital between January 1, 2014 and January 1, 2017. We compared demographic and clinical characteristics as well as total charges incurred by these patients. A chi square test of independence and a Mann Whitney U-Test were used to compare categorical variables. Linear and logistic regression analyses were utilized to identify predictors of hospitalization and total charges. Results Of a total 195 patients, 97 were discharged from the ED and 98 were admitted to the hospital (Table 1). Patients who presented with fever, nausea/vomiting, or abdominal pain or who had a history of a fistula or stenosis were more likely to be hospitalized, as were patients who presented on steroids, 5-ASA compounds, or narcotics (Table 2). A logistic regression adjusted for these factors showed patients presenting with abdominal pain (OR=0.239, 95% CI 0.07 – 0.77) are less likely, while patients presenting with fever (OR=7.0, 95% CI 1.9 – 24.5) and history of stenosis (OR=17.8, 95% CI 5.7 – 55.9) are more likely to have a hospital admission. An increase in age and white blood cell count was associated with an increase in likelihood of admission (OR=1.04, 95% CI 1.01 – 1.07 and OR=1.2, 95% CI 1.1 – 1.4), while an increase in HGB was associated with a decrease in likelihood of admission (OR=0.682, 95% CI 0.55 – 0.83). Patients on 5-ASA compounds had the strongest association with hospital admission (OR=4.5, 95% CI 1.03 – 20.4). A linear regression analysis predicting total charges of hospitalization identified an increase of $37,500 (95% CI 6,600 – 68,489) for obese patients and of $29,000 (95% CI 20 – 57,000) for patients on narcotics prior to hospitalization. Notably, blacks were on average 6 years younger than whites (μ=36.2, st.d.=13.2 v μ=42.7, st.d.=18.2, p=0.031, respectively). No other differences in presentation or outcomes of CD were identified between these races. Conclusion This study describes the difference between CD patients who were admitted to the hospital compared to those who were discharged from the ED. The impact that 5-ASA compound, steroid, and narcotic use prior to presentation has on hospital admission and charges highlights the need for consistent outpatient care to manage the symptoms and disease progression in patients with CD in Baton Rouge. The difference in age at presentation between blacks and whites should also be considered in future research.


2015 ◽  
Vol 1 (1) ◽  
Author(s):  
Kashmiri Stec ◽  
Mike Huiskes ◽  
Gisela Redeker

AbstractWe investigate direct speech quotation in informal oral narratives by analyzing the contribution of bodily articulators (character viewpoint gestures, character facial expression, character intonation, and the meaningful use of gaze) in three quote environments, or quote sequences – single quotes, quoted monologues and quoted dialogues – and in initial vs. non-initial position within those sequences. Our analysis draws on findings from the linguistic and multimodal realization of quotation, where multiple articulators are often observed to be co-produced with single direct speech quotes (e.g. Thompson & Suzuki 2014), especially on the so-called left boundary of the quote (Sidnell 2006). We use logistic regression to model multimodal quote production across and within quote sequences, and find unique sets of multimodal articulators accompanying each quote sequence type. We do not, however, find unique sets of multimodal articulators which distinguish initial from non-initial utterances; utterance position is instead predicted by type of quote and presence of a quoting predicate. Our findings add to the growing body of research on multimodal quotation, and suggest that the multimodal production of quotation is more sensitive to the number of characters and utterances which are quoted than to the difference between introducing and maintaining a quoted characters’ perspective.


2019 ◽  
Vol 28 (1) ◽  
pp. 35 ◽  
Author(s):  
Pablo Pozzobon de Bem ◽  
Osmar Abílio de Carvalho Júnior ◽  
Eraldo Aparecido Trondoli Matricardi ◽  
Renato Fontes Guimarães ◽  
Roberto Arnaldo Trancoso Gomes

Predicting the spatial distribution of wildfires is an important step towards proper wildfire management. In this work, we applied two data-mining models commonly used to predict fire occurrence – logistic regression (LR) and an artificial neural network (ANN) – to Brazil’s Federal District, located inside the Brazilian Cerrado. We used Landsat-based burned area products to generate the dependent variable, and nine different anthropogenic and environmental factors as explanatory variables. The models were optimised via feature selection for best area under receiver operating characteristic curve (AUC) and then validated with real burn area data. The models had similar performance, but the ANN model showed better AUC (0.77) and accuracy values when evaluating exclusively non-burned areas (73.39%), whereas it had worse accuracy overall (66.55%) when classifying burned areas, in which LR performed better (65.24%). Moreover, we compared the contribution of each variable to the models, adding some insight into the main causes of wildfires in the region. The main driving aspects of the burned area distribution were land-use type and elevation. The results showed good performance for both models tested. These studies are still scarce despite the importance of the Brazilian savanna.


2020 ◽  
Vol 5 (2) ◽  
pp. 83-87
Author(s):  
Rischa Dwi Arianti ◽  
Arfilia Wijayanti ◽  
Filia Prima Artharina

This research model uses several stages, namely the analysis phase, the design phase, the development stage, the implementation phase, the evaluation stage. The results showed the difference in class average between classes using media and not using monopoly media based on HOTS (Higher Order Thinking Skill). This is evidenced by the results of the t-test in which the number of t arithmetic (3,590)> ttable (1,708). So the result is effectiveness in the use of HOTS (Higher Order Thingking Skill) based animal and food material monopoly in grade IV SD 01 Kalicari.


2018 ◽  
Vol 25 (2) ◽  
Author(s):  
Sofyan Rais Addin ◽  
Tarmono Djojodimedjo ◽  
Fikri Rizaldi

Objective: To evaluate the prognostic value of presepsin and procalcitonin in patient with urosepsis. Material & Method: This is an observational prospective study. Patients who fulfilled the criteria for urosepsis at Soetomo Hospital Surabaya were enrolled. Presepsin and procalcitonin were measured at first admission. All patients were managed according to standard urosepsis therapy. At the 28th day of treatment, patients were evaluated and classified into survivor and non-survivor. The statistical analysis were tested with logistic regression test using software SPSS 23. Results: 30 urosepsis patients were included in this study with average age was 48.3 years (range 21-77 years). There were 23 survivor and 7 non-survivor. Mean presepsin values were higher in non-survivor than in survivor but the difference was not significant (4405 ± 4664 vs 4042 ± 2643, p=0.259). Mean procalcitonin value was significantly higher in non-survivor than in survivor (7.68 ± 6.81 vs 3.27 ± 2.74, p=0.013). Using the cut off value ≥2.24 ng/ml, procalcitonin can predict mortality in 28 days with sensitivity 71.4% and specificity 47.8%. Conclusion: Presepsin can not be used to determine the prognosis of urosepsis patients. Procalcitonin showed a significant correlation with outcome of urosepsis patients so it can be use to determine the prognosis of urosepsis.


2018 ◽  
Author(s):  
Paul D Allison

Standard fixed effects methods presume that effects of variables are symmetric: the effect of increasing a variable is the same as the effect of decreasing that variable but in the opposite direction. This is implausible for many social phenomena. York and Light (2017) showed how to estimate asymmetric models by estimating first-difference regressions in which the difference scores for the predictors are decomposed into positive and negative changes. In this paper, I show that there are several aspects of their method that need improvement. I also develop a data generating model that justifies the first-difference method but can be applied in more general settings. In particular, it can be used to construct asymmetric logistic regression models.


Author(s):  
Afrin Sadia Rumana ◽  
Asia Khatun ◽  
Sukanta Das

Background: In Bangladesh, smoking is one of the leading preventable causes of death. Despite possessing knowledge about the consequences of smoking and the resultant non-communicable diseases, individuals have become considerably habituated to it. The study aims to identify the factors associated with smoking cigarettes and as well as to examine the existing situation of this issue among adult males in Bangladesh.Methods: Total 480 adult males were surveyed from Bangladesh through personal interview and online questionnaire, (from June 2018 to June 2019). To measure the effect of the explanatory variables on cigarettes smoking, authors perform χ2 test of independence as bivariate analysis. After performing bivariate analysis, a logistic regression analysis has been performed to assess the effect of the explanatory variables.Results: Findings of the study revealed that educational level, household economic status, media exposure, division have significant contribution for smoking cigarettes among the adult male in Bangladesh. A comparison of religious affiliation showed smoking cigarettes to be higher among non-muslim counterparts. Respondents living in rural area are found to have smoking cigarettes comparing with urban area.Conclusions: From the study it can be concluded that education and socio-economic status of male make a significant contribution in cigarettes smoking.


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