scholarly journals State and development of phytocenoses on research plots in the Krkonoše Mts. forest stands

2010 ◽  
Vol 56 (No. 11) ◽  
pp. 505-517 ◽  
Author(s):  
S. Vacek ◽  
K. Matějka
Keyword(s):  
Species Composition ◽  
Vegetation Structure ◽  
Euclidean Distance ◽  
Blechnum Spicant ◽  
Factors Influencing ◽  
Moss Layer ◽  
Spruce Stands ◽  
Most Significant Change ◽  
Cicerbita Alpina ◽  
Significant Factors

The paper assesses the state and development of phytocenoses in beech, mixed and spruce stands on permanent research plots (PRP) 1–32 in the Krkonoše (Giant) Mts. in the years 1980–2005, i.e. during the air-pollution calamity and afterwards. Dynamics (the extent of change) of the vegetation structure has been expressed as the overall change of species composition in comparison with the year 1980. The change was quantified using the Euclidean distance or as the change of the several first ordination axes (DCA 1–DCA 4). Species composition was significantly changing on all 32 PRP stands in the period 1980–2005; some species completely disappeared (e.g. Cicerbita alpina, Lamium maculatum, Phyteuma spicatum, Viola biflora) or their ratio was reduced (e.g. Blechnum spicant, Dentaria enneaphyllos, Homogyne alpina). From the viewpoint of diversity, the most significant change is the reduction of species in the moss layer, which was observed in all types of stands; in beech and mixed forests the average number of species dropped from 4.8 to 2.7 (44%), in non-declining spruce stands the number fell from 11.6 to 5.5 (53%), and in declining spruce stands it dropped from 10.4 to 3.3 (68%). The overall reduction of species diversity ranged between 31% and 43%; the highest reduction was recorded at species with lower representation. The most significant factors influencing the species composition were altitude and exposition of plot.

Trust in Artificial Intelligence: Meta-Analytic Findings

2021 ◽  
pp. 001872082110139
Author(s):  
Alexandra D. Kaplan ◽  
Theresa T. Kessler ◽  
J. Christopher Brill ◽  
P. A. Hancock
Keyword(s):  
Artificial Intelligence ◽  
Empirical Research ◽  
Meta Analysis ◽  
Automated Vehicles ◽  
Factors Influencing ◽  
Moderating Factors ◽  
Shared Context ◽  
Build Systems ◽  
Significant Factors

Objective The present meta-analysis sought to determine significant factors that predict trust in artificial intelligence (AI). Such factors were divided into those relating to (a) the human trustor, (b) the AI trustee, and (c) the shared context of their interaction. Background There are many factors influencing trust in robots, automation, and technology in general, and there have been several meta-analytic attempts to understand the antecedents of trust in these areas. However, no targeted meta-analysis has been performed examining the antecedents of trust in AI. Method Data from 65 articles examined the three predicted categories, as well as the subcategories of human characteristics and abilities, AI performance and attributes, and contextual tasking. Lastly, four common uses for AI (i.e., chatbots, robots, automated vehicles, and nonembodied, plain algorithms) were examined as further potential moderating factors. Results Results showed that all of the examined categories were significant predictors of trust in AI as well as many individual antecedents such as AI reliability and anthropomorphism, among many others. Conclusion Overall, the results of this meta-analysis determined several factors that influence trust, including some that have no bearing on AI performance. Additionally, we highlight the areas where there is currently no empirical research. Application Findings from this analysis will allow designers to build systems that elicit higher or lower levels of trust, as they require.

scholarly journals Factors Affecting Secondary Traumatic Stress of Nurses Caring for COVID-19 Patients in South Korea

2021 ◽  
Vol 18 (13) ◽  
pp. 6843
Author(s):  
Mee Sun Lee ◽  
Sujin Shin ◽  
Eunmin Hong
Keyword(s):  
Social Support ◽  
Regression Analysis ◽  
Traumatic Stress ◽  
Secondary Traumatic Stress ◽  
Direct Care ◽  
Hierarchical Regression ◽  
Factors Affecting ◽  
Factors Influencing ◽  
Affect Patient Care ◽  
Significant Factors

The secondary traumatic stress (STS) of nurses caring for COVID-19 patients is expected to be high, and it can adversely affect patient care. The purpose of this study was to examine the degree of STS of nurses caring for COVID-19 patients, and we identified various factors that influence STS. This study followed a descriptive design. The data of 136 nurses who had provided direct care to COVID-19 patients from 5 September to 26 September 2020 were collected online. Hierarchical regression analysis was conducted to identify the factors influencing STS. Participants experienced moderate levels of STS. The regression model of Model 1 was statistically significant (F = 6.21, p < 0.001), and the significant factors influencing STS were the duration of care for patients with COVID-19 for more than 30 days (β = 0.28, p < 0.001) and working in an undesignated COVID-19 hospital (β = 0.21, p = 0.038). In Model 2, the factor influencing STS was the support of a friend in the category of social support (β = −0.21, p = 0.039). The nurses caring for COVID-19 patients are experiencing a persistent and moderate level of STS. This study can be used as basic data to treat and prevent STS.

scholarly journals Individual Condensation Trails in Aircraft Trajectory Optimization

2019 ◽  
Vol 11 (21) ◽  
pp. 6082 ◽  
Author(s):  
Judith Rosenow ◽  
Hartmut Fricke
Keyword(s):  
Global Warming ◽  
Trajectory Optimization ◽  
Wind Shear ◽  
Impact Factors ◽  
Factors Influencing ◽  
Order Of Magnitude ◽  
Aircraft Trajectory ◽  
The Impact ◽  
Arbitrary Trajectory ◽  
Significant Factors

Contrails are one of the driving contributors to global warming, induced by aviation. The quantification of the impact of contrails on global warming is nontrivial and requires further in-depth investigation. In detail, condensation trails might even change the algebraic sign between a cooling and a warming effect in an order of magnitude, which is comparable to the impact of aviation-emitted carbon dioxides and nitrogen oxides. This implies the necessity to granularly consider the environmental impact of condensation trails in single-trajectory optimization tools. The intent of this study is the elaboration of all significant factors influencing on the net effect of single condensation trails. Possible simplifications will be proposed for a consideration in single-trajectory optimization tools. Finally, the effects of the most important impact factors, such as latitude, time of the year, and time of the day, wind shear, and atmospheric turbulence as well as their consideration in a multi-criteria trajectory optimization tool are exemplified. The results can be used for an arbitrary trajectory optimization tool with environmental optimization intents.

scholarly journals Significant factors influencing the accuracy of sputum cytology for primary lung cancers.

1984 ◽  
Vol 23 (4) ◽  
pp. 598-603 ◽  
Author(s):  
Toshiro KAWAI ◽  
Kou KANEKO ◽  
Seiichi KOBAYASHI ◽  
Sachiko KUBONO ◽  
Eriko KATSUKAWA ◽  
...  
Keyword(s):  
Sputum Cytology ◽  
Lung Cancers ◽  
Factors Influencing ◽  
Significant Factors

scholarly journals Impact of Income and Different Generation Cohorts on Nursery Products and Landscaping Project Spending

2013 ◽  
Vol 45 (1) ◽  
pp. 65-77 ◽  
Author(s):  
Lu Jin ◽  
Michael K. Wohlgenant ◽  
Charles D. Safley
Keyword(s):  
Household Income ◽  
The Elderly ◽  
Bedding Plants ◽  
Income Elasticities ◽  
Factors Influencing ◽  
Generation Cohorts ◽  
Dependent Variables ◽  
Consumer Survey Data ◽  
Significant Factors ◽  
Budget Expenditure

Socioeconomic factors influencing consumer demand for nursery products and landscape projects were investigated using consumer survey data collected from North Carolina in 2008. Tobit models were estimated for censored dependent variables, budget expenditure shares on nursery products, and landscape spending. The most significant factors influencing the share of income spent on nursery products were age and household income. The elderly and baby boomers tend to spend less on bedding plants, perennials, and outdoor hardscapes than Generations X and Y. The income elasticities suggest that the amount spent on outdoor living projects is sensitive to changes in household income, whereas spending in vegetable plants and chemicals is less responsive to income.

scholarly journals The possibility of reclamation criteria success in Indonesia: soil condition, vegetation structure and species composition

2021 ◽  
Vol 9 (1) ◽  
pp. 3201-3210
Author(s):  
Tedi Yunanto ◽  
Farisatul Amanah ◽  
Nabila Putri Wisnu
Keyword(s):  
Species Composition ◽  
Vegetation Structure ◽  
Diversity Index ◽  
Basal Area ◽  
Mineral Resources ◽  
Soil Condition ◽  
Mine Reclamation ◽  
Soil Conditions ◽  
Standard Interval ◽  
Chemical Conditions

There are two regulations for mine reclamation success in the forestry area in Indonesia, namely Minister of Forestry Regulation No. P.60/Menhut-II/2009 and Minister of Energy and Mineral Resources Decree No. 1827.K/30/MEM/2018. Both regulations rule vegetation and soil success. This study aims to analyse criteria parameters from both regulations in the mine reclamation and compare them to the surrounding secondary natural forest (SNF). This study was conducted in 6 six types of mine reclamation stand structures: 1, 4, 6, 9, 11-year-old plantation and SNF using 1 hectare of the circular plot each (total 6 ha). Soil samples were collected from 40 cm depth to analyse physical, biological and chemical conditions. Mine reclamation areas had almost similar physical, biological and chemical soil conditions with SNF. Nevertheless, due to the potential acid-forming (PAF) material from overburden, the 1-year-old plantation had pH = 3.23-3.27. The highest diversity index and the number of species and families in all reclamation areas were H’ = 1.82 (11-year-old); 14 species (9-year-old); and 11 families (9-year-old), comparing with SNF were H’ = 3.48; 67 species, and 31 families. Conversely, vegetation structure parameters in mine reclamation areas were higher than SNF (diameter at height breast (DBH; 1.3 m) = 28.42 cm; tree density = 469/ha; basal area = 35.04 m2/ha; and total height = 16.85 m). Compared to the SNF, vegetation structure and soil conditions are mostly possible for mine reclamation success. Still, species composition needs to be considered further as a standard interval to meet the criteria.

scholarly journals Development of forest soils in the Krkonoše Mts. in the period 1980–2009

2010 ◽  
Vol 56 (No. 11) ◽  
pp. 485-504 ◽  
Author(s):  
K. Matějka ◽  
S. Vacek ◽  
V. Podrázský
Keyword(s):  
Species Composition ◽  
Tree Species ◽  
Large Scale ◽  
Vegetation Change ◽  
Soil Conditions ◽  
Available Phosphorus ◽  
Mountain Range ◽  
Site Conditions ◽  
Tree Species Composition ◽  
Spruce Stands

This paper documents the development of soil conditions in the set of 32 permanent research plots in the Krkono&scaron;e (Giant) Mts. These plots represent an altitudinal gradient covering the ecosystems of beech, mixed beech-spruce and spruce stands. In all plots, representing the site conditions of the highest areas of the mountain range, standard soil pits were prepared and the soil sampling was performed in autumn of years 1980, 1993, 1998, 2003 and 2009. The results reflect extreme site conditions, soil acidification, large scale surface liming and in minor extent also different tree species composition of the stands. The general type of the soil-genesis is represented by the podzolisation, overlapping the other soil-genetic factors, including the tree species composition. Nevertheless, this development is mostly expressed in the spruce stands. The beech dominance and/or co-dominance are reflected especially by more efficient N-cycling, higher pH, S and V values and fluctuation and lower extractable Al3+ content. More efficient cycling in beech ecosystems is insignificantly documented for plant available phosphorus, calcium and magnesium contents; on the contrary higher dynamics for iron ions was registered in the spruce stands. The long-term soil dynamics with a hysteresis (evident on the base of ordination analysis) can be divided into some periods &ndash; processes of acidification (typical in the 1980's samples), liming (main effect in 1993 and 1998) and regeneration (2003, 2009). Other features, important for the soil development, are probably related to the vegetation change, but this relation is not statistically significant.

scholarly journals Mapping forest age and characterizing vegetation structure and species composition in tropical dry forests

2021 ◽  
Vol 120 ◽  
pp. 106955
Author(s):  
G. Reyes-Palomeque ◽  
J.M. Dupuy ◽  
C.A. Portillo-Quintero ◽  
J.L. Andrade ◽  
F.J. Tun-Dzul ◽  
...  
Keyword(s):  
Species Composition ◽  
Vegetation Structure ◽  
Tropical Dry Forests ◽  
Forest Age ◽  
Dry Forests

Is Sino-Africa Bilateral Trade More than Resource Focused? The Rhetoric and the Reality

2019 ◽  
Vol 18 (4) ◽  
pp. 362-394
Author(s):  
Aye Alemu ◽  
Wenqing Zhang
Keyword(s):  
Natural Resources ◽  
Natural Resource ◽  
Bilateral Trade ◽  
Rapid Expansion ◽  
Contributing Factors ◽  
African Countries ◽  
Factors Influencing ◽  
Oil Exports ◽  
The Empirical Analysis ◽  
Significant Factors

Abstract This study uses an augmented dynamic gravity model to identify the main contributing factors influencing bilateral trade between China and 46 African countries in general and to test whether Sino-Africa bilateral trade is more than resource focused in particular. Natural resource was captured by “oil exports” and “ores & metal exports,” and the empirical analysis verifies only “oil” not “ores & metals” to significantly influence the growing Sino-Africa bilateral trade. Thus, the empirical result partially supports the widely held view that natural resources are critical to bilateral trade between China and African countries. However, it is not true that Chinese engagement in Africa is exclusively due to natural resources as always portrayed. Apart from the oil factor, some other significant factors for the growing bilateral trade are identified. The study indicates there is a huge opportunity and potential for rapid expansion of Sino-Africa bilateral trade that is mutually beneficial.

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