scholarly journals Time-saving effects using helicopter transportation: comparison to a ground transportation time predicted using a social navigation software

2020 ◽  
Author(s):  
Ji Young Jang ◽  
Woo-Keun Kwon ◽  
Jong Ha Moon ◽  
Jun Seong Hwang ◽  
Yoon Jic Kim ◽  
...  
Keyword(s):  
Open Source ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Navigation Systems ◽  
Time Saving ◽  
Social Navigation ◽  
Transportation Time ◽  
Golden Hour ◽  
Time Required ◽  
Navigation Software

Abstract BackgroundPrevious comparison studies regarding two types of transportation, helicopter (HEMS) versus ground emergency medical services (GEMS), have shown underlying heterogeneity as these options have completely different routes and consequent times with reference to one patient. To compare the two types of transportation on a case-by-case basis, we analyzed the retrospectively reviewed HEMS and predicted GEMS data using an open-source navigation software.MethodsPatients transferred by military HEMS from 2016 to 2019 were retrospectively enrolled. The HEMS records on the time of notification, injury point and destination addresses, and time required were reviewed. The GEMS data on distance and the predicted time required were acquired using open-source social navigation systems. Comparison analyses between the two types of transportation were conducted. Further, linear logistic regression analyses were performed on the distance and time of the two options.ResultsA total of 183 patients were enrolled. There was no statistical difference (p=0.3021) in the distance between the two types of transportation, and the HEMS time was significantly shorter than that of GEMS (61.31 vs. 116.92 minutes, p<0.001). The simple linear curves for HEMS and GEMS were separately secured, and two graphs presented the statistical significance (p) as well as reasonable goodness-of-fit (R2). In general, the HEMS graph demonstrates a more gradual slope and narrow distribution compared to that of GEMS.ConclusionIdeally, HEMS is identified as a better transportation modality because it has a shorter transportation time (56 minutes saved) and a low possibility of potential time delays (larger R2). With a strict patient selection, HEMS can rescue injured or emergent patients who are “out of the golden hour.”

scholarly journals Time-saving Effects Using Helicopter Transportation: Comparison to a Ground Transportation Time Predicted Using a Social Navigation Software

2021 ◽  
Author(s):  
Ji Young Jang ◽  
Jang Hun Kim
Keyword(s):  
Open Source ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Navigation Systems ◽  
Time Saving ◽  
Social Navigation ◽  
Transportation Time ◽  
Ground Ambulance ◽  
Time Required ◽  
Navigation Software

Abstract IntroductionPrevious comparison studies regarding two types of transportation, helicopter (HEMS) versus ground emergency medical services (GEMS), have shown underlying heterogeneity as these options have completely different routes and consequent times with reference to one patient. To compare the two types of transportation on a case-by-case basis, we analyzed the retrospectively reviewed HEMS and predicted GEMS data using an open-source navigation software.MethodsPatients transferred by military HEMS from 2016 to 2019 were retrospectively enrolled. The HEMS records on the time of notification, injury point and destination address, and time required were reviewed. The GEMS data on distance and the predicted time required were acquired using open-source social navigation systems. Comparison analyses between the two types of transportation were conducted. Further, linear logistic regression analyses were performed on the distance and time of the two options.ResultsA total of 183 patients were enrolled. There was no statistical difference (p=0.3021) in the distance between the two types of transportation, and the HEMS time was significantly shorter than that of GEMS (61.31 vs. 116.92 minutes, p<0.001). The simple linear curves for HEMS and GEMS were separately secured, and two graphs presented the statistical significance (p) as well as reasonable goodness-of-fit (R2). In general, the HEMS graph demonstrates a more gradual slope and narrow distribution compared to that of GEMS. ConclusionIdeally, HEMS is identified as a better transportation modality because it has a shorter transportation time (56 minutes saved) and a low possibility of potential time delays (larger R2).Running tileHelicopter vs. navigation-based ground ambulance

scholarly journals Time-saving effects using helicopter transportation: comparison to a ground transportation time predicted using a social navigation software

Medicine ◽  
2021 ◽  
Vol 100 (27) ◽  
pp. e26569
Author(s):  
Ji Young Jang ◽  
Woo-Keun Kwon ◽  
Haewon Roh ◽  
Jong Ha Moon ◽  
Jun Seong Hwang ◽  
...  
Keyword(s):  
Time Saving ◽  
Social Navigation ◽  
Transportation Time ◽  
Helicopter Transportation ◽  
Navigation Software

Optimized Test Case Generation for Object Oriented Systems Using Weka Open Source Software

2021 ◽  
pp. 596-618
Author(s):  
Rajvir Singh ◽  
Anita Singhrova ◽  
Rajesh Bhatia
Keyword(s):  
Open Source ◽  
Open Source Software ◽  
Effective Means ◽  
Object Oriented ◽  
Test Case Generation ◽  
Test Case ◽  
Test Cases ◽  
Time Saving ◽  
Class Level ◽  
Fault Proneness

Detection of fault proneness classes helps software testers to generate effective class level test cases. In this article, a novel technique is presented for an optimized test case generation for ant-1.7 open source software. Class level object oriented (OO) metrics are considered as effective means to find fault proneness classes. The open source software ant-1.7 is considered for the evaluation of proposed techniques as a case study. The proposed mathematical model is the first of its kind generated using Weka open source software to select effective OO metrics. Effective and ineffective OO metrics are identified using feature selection techniques for generating test cases to cover fault proneness classes. In this methodology, only effective metrics are considered for assigning weights to test paths. The results indicate that the proposed methodology is effective and efficient as the average fault exposition potential of generated test cases is 90.16% and test cases execution time saving is 45.11%.

Rapid Measurement of Nutation NQR Spectra in Powders Using an RF Pulse Train

1996 ◽  
Vol 51 (5-6) ◽  
pp. 363-367 ◽  
Author(s):  
Nicolai Sinyavsky ◽  
Michał Ostafin ◽  
Mariusz Maćkowiak
Keyword(s):  
Asymmetry Parameter ◽  
Pulse Train ◽  
Pulse Action ◽  
Rf Pulses ◽  
Time Saving ◽  
Long Time ◽  
The Asymmetry ◽  
Rf Pulse ◽  
Time Required

Abstract The method of two-dimensional nutation NQR spectroscopy, introduced by Harbison in 1989, has been successfully used for determining of the asymmetry parameter of the EFG tensor for spin-3/2 nuclei in both powdered and monocrystal samples in the absence of an external magnetic field. The inconvenience inherent in the method, however, is the long time required, because data acquisition must be repeated for various RF pulse lengths. We discuss a method to reduce the time of the nutation experiment by using a sequence of identical short RF pulses of length r w and distance τ. It is shown that for an NQR frequency ω0 , frequency offset Δω, and pulse parameters satisfying the relation ω0τ + Δωtw = 2πk (k = 1, 2, 3,..., n) a synchronism of pulse action takes place and the nutation interferogram can be measured "stroboscopically" between the pulses. The maximum time saving factor that can be obtained as compared to the conventional nutation experiment is of the order of the number of pulses used in a pulse train. The method has been successfully applied for determination of the asymmetry parameter for one of the two 3 5 Cl sites in polycrystalline 2,4,6-trichloro-1,3,5-triazine (cyanuric chloride).

Portable and Rapid In Vivo Imaging of Tissue Oxygenation Changes Induced by Skin Perfusion Pressure

2019 ◽  
Vol 42 ◽  
pp. 59-66 ◽  
Author(s):  
Audrey Huong ◽  
Xavier Ngu
Keyword(s):  
Vascular Reactivity ◽  
Imaging System ◽  
Statistical Significance ◽  
Systolic Pressure ◽  
Improve Patient Care ◽  
Healthcare Management ◽  
Oxygen Saturation Level ◽  
Healthy Humans ◽  
Time Required

Current imaging systems available in the study of tissue hemodynamics and vascular reactivity are typically complex and bulky, hence limiting their applications to laboratory use. The aim of this study is to present the dynamics of skin oxygen level with changes in the microcirculatory perfusion monitored using a developed field portable, handheld tri-wavelength imaging system. The skin oxygen saturation level (StO2) was measured in-vivo in a span of 12 minutes in the ventral forearm of seven healthy humans at rest, before and after supra-diastolic and supra-systolic pressure inflations. The findings of this work showed statistical significance in the difference between the mean StO2 values in baseline and that following ischemic episodes with ρ ≤ 0.03. The values returned to baseline, although of different magnitude for each individual, within 2 min (ρ =0.217) during reperfusion could suggest the time required for the resume of normal autoregulation mechanisms and vasomotion reactivities in the recruits. This study concluded that the developed imaging system could find potential application in self-healthcare management and may help to improve patient care in remote or rural locations.

Adoption of mobile banking services

2019 ◽  
Vol 37 (5) ◽  
pp. 1165-1189 ◽  
Author(s):  
Apostolos Giovanis ◽  
Pinelopi Athanasopoulou ◽  
Costas Assimakopoulos ◽  
Christos Sarmaniotis
Keyword(s):  
Theory Of Planned Behavior ◽  
Technology Acceptance ◽  
Planned Behavior ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Explanatory Power ◽  
Equation Modeling ◽  
Mobile Banking ◽  
Content Type

PurposeThe purpose of this paper is to investigate which of four well-established theoretical models (i.e. technology acceptance model, theory of planned behavior, unified theory of acceptance and use of technology, decomposed theory of planned behavior (DTPB)) best explains potential users’ behavioral intentions to adopt mobile banking (MB) services.Design/methodology/approachDrawing on data from 931 potential users in Greece, the structural equation modeling method was used to examine and compare the four models in goodness-of-fit, explanatory power and statistical significance of path coefficients.FindingsResults indicate that the best model is an extension of the DTPB with perceived risk (PR). Customers’ attitude, determined by three rationally-evaluated MB attributes (usefulness, easiness and compatibility), is the main driver of consumers’ intentions to adopt MB services. Additionally, consumers’ perceptions of availability of knowledge, resources and opportunities necessary for using the service, and the pressure of interpersonal and external social contexts toward the use of MB are the other two, less important, adoption drivers. Finally, PR negatively affects attitude formation and inhibits willingness to use MB services.Practical implicationsFindings can help marketers of financial institutions to select the more parsimonious model to develop appropriate marketing strategies to increase adoption rates of MB services.Originality/valueThis is the first study that compares the performance of four well-known innovation adoption models to explain consumers’ behavior in the MB context.

scholarly journals Initial Experience with Digital Patient Briefing in Computed Tomography

2018 ◽  
Vol 191 (06) ◽  
pp. 540-546
Author(s):  
Babak Alikhani ◽  
Bennet Hensen ◽  
Arne Grosser ◽  
Maria Inés Cartes Febrero ◽  
Markus von Bestenbostel ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Statistical Significance ◽  
Age Groups ◽  
Patient Age ◽  
Open Questions ◽  
Patient Âgé ◽  
Significant Difference ◽  
Student’S T ◽  
The Individual ◽  
Time Required

Purpose To assess digital patient briefing as an alternative to conventional paper documentation. Materials and Methods 502 patients with a planned computed tomography (CT) examination were selected for digital patient briefing using the E-ConsentPro software from Thieme Compliance on an iPad by Apple (Cupertino, California, USA). For the analysis, three age groups were formed. The time required for the patient briefing, the number of open questions as well as the time needed for discussion with physicians were determined. Student’s t-test was performed to assess statistical significance. Results There was no significant difference between patient age and briefing time which was about 20 minutes on average. The number of open or unclear questions increased with patient age. While patients younger than 30 years of age had about 2 open questions, patients over 30 and 60 years had about 4 and 5 questions, respectively. The total time needed for discussion with physicians was less than 2 minutes on average. A significant difference in the time required for discussion with physicians could not be observed between the individual age groups. Conclusion Tablet-based digital briefing allows the storage of patient documents with reasonable time and effort. Furthermore, it minimizes the risk of data loss. Key Points  Citation Format

A STATISTICAL METHODOLOGY TO SIMPLIFY SOFTWARE METRIC MODELS CONSTRUCTED USING INCOMPLETE DATA SAMPLES

2007 ◽  
Vol 17 (06) ◽  
pp. 689-707 ◽  
Author(s):  
VICTOR K. Y. CHAN ◽  
W. ERIC WONG ◽  
T. F. XIE
Keyword(s):  
Incomplete Data ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Statistical Hypothesis ◽  
Software Project ◽  
Statistical Hypothesis Testing ◽  
Work Effort ◽  
K Nearest Neighbors ◽  
Quality Metric ◽  
Software Metric

Software metric models predict the target software metric(s), e.g., the development work effort or defect rates, for any future software project based on the project's predictor software metric(s), e.g., the project team size. Obviously, the construction of such a software metric model makes use of a data sample of such metrics from analogous past projects. However, incomplete data often appear in such data samples. Moreover, the decision on whether a particular predictor metric should be included is most likely based on an intuitive or experience-based assumption that the predictor metric has an impact on the target metric with a statistical significance. However, this assumption is usually not verifiable "retrospectively" after the model is constructed, leading to redundant predictor metric(s) and/or unnecessary predictor metric complexity. To solve all these problems, we derived a methodology consisting of the k-nearest neighbors (k-NN) imputation method, statistical hypothesis testing, and a "goodness-of-fit" criterion. This methodology was tested on software effort metric models and software quality metric models, the latter usually suffers from far more serious incomplete data. This paper documents this methodology and the tests on these two types of software metric models.

Structural Equation Modeling: An Alternative to Traditional Validation Techniques

1986 ◽  
Vol 14 (4) ◽  
pp. 345-352
Author(s):  
Margaret E. Bell ◽  
Jean A. Massey
Keyword(s):  
Structural Equation Modeling ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Statistical Significance ◽  
Equation Modeling ◽  
Fit Indices ◽  
T Values ◽  
Conditions Of Learning ◽  
Nursing Course ◽  
Cardiovascular Nursing

Validation of the sequencing of objectives is an important step in structural design. Prior statistical techniques, such as the reproducibility coefficient, have yielded only summary information. In contrast, structural equation modeling provides both goodness-of-fit indices and effect coefficients for links or paths between time-ordered events, i.e., objectives. Discussed here is the application of structural equation modeling to a set of objectives in a senior-level cardiovascular nursing course. Consistent with the theory-based requirement of structural equation modeling, the objectives were developed using Robert Gagné's conditions of learning. Also discussed is the use of “t” values, which indicate statistical significance of the paths, for testing instructional links in the learning model.

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