scholarly journals Significant Factors Influencing the Step-over Action of Hemiplegics

2013 ◽  
Vol 28 (2) ◽  
pp. 253-256 ◽  
Author(s):  
Hideaki TANAKA ◽  
Masahide IBUNE ◽  
Shinichirou KAWAKITA ◽  
Masami YOKOGAWA ◽  
Katsumi INOUE ◽  
...  
Keyword(s):  
Factors Influencing ◽  
Step Over ◽  
Significant Factors

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.

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.

Effect of factors of organizational structure influencing nonphysical waste in road projects of developing countries

2020 ◽  
Vol 27 (10) ◽  
pp. 3135-3153
Author(s):  
Muhammad Irfan ◽  
Muhammad Sohail Anwar Malik ◽  
Syyed Sami Ul Haq Kaka Khel
Keyword(s):  
Developing Countries ◽  
Organizational Structure ◽  
The Body ◽  
Management Support ◽  
Cost Overrun ◽  
Cost Overruns ◽  
Content Type ◽  
Factors Influencing ◽  
Road Projects ◽  
Significant Factors

PurposeThe purpose of this research is to rank the most significant factors of organizational structure that can reduce time and cost overruns (nonphysical waste) in road projects of the developing countries. Additionally, the effect of factors of organizational structure on nonphysical waste in road projects is also measured.Design/methodology/approachFactors of organizational structure causing time and cost overrun are extracted through a content analysis of the published literature. Moreover, a questionnaire survey is carried out involving 128 professionals to assess the effect of organizational structure factors on time and cost overrun. Finally, to obtain a more objective evaluation, relative importance index and regression analysis techniques are utilized, and the most severe factors influencing time and cost overrun are indicated.FindingsThis study found out that top management support and procurement procedures are the most significant factors influencing time and cost overruns in road projects of the developing countries.Originality/valueA small number of studies have been conducted to investigate the effect of factors of organizational structure on time and cost overrun in the construction industry. And even more, its relation with respect to road projects of the developing countries is limited. This research highlights the effect of most significant factors of organizational structure that influence the nonphysical waste in road projects of the developing countries. Therefore, this study adds to the body of knowledge by recommending that all the stakeholders of construction project should pay close attention toward these factors to control the enigma of time and cost overrun. It might also prove helpful, if implemented to its full extent, in all the road construction activities undertaken.

Factors Influencing Adjustment in the Families of Autistic Children

1992 ◽  
Vol 71 (1) ◽  
pp. 167-171 ◽  
Author(s):  
Daniel Henderson ◽  
Brian Vandenberg
Keyword(s):  
Social Support ◽  
Locus Of Control ◽  
Autistic Child ◽  
Family Adjustment ◽  
Autistic Children ◽  
Factors Influencing ◽  
Support Resources ◽  
Perceived Locus Of Control ◽  
Significant Factors ◽  
Social Support Resources

This study investigated factors influencing the adjustment of families of 49 autistic children (38 boys, 11 girls) to the stress of raising an autistic child. Analysis indicated that the severity of the child's disorder (stress), mother's social support (resources), and mother's perceived locus of control (perception) were significant factors in family adjustment. In addition, evidence suggested that agency affiliation also was an unexpected, yet important factor.

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