scholarly journals A Patient-Independent Significance Test by Means of False-Positive Rates in Selected Correlation Analysis of Brain Multimodal Monitoring Data

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Rupert Faltermeier ◽  
Martin A. Proescholdt ◽  
Stefan Wolf ◽  
Sylvia Bele ◽  
Alexander Brawanski
Keyword(s):  
Correlation Analysis ◽  
Neurological Diseases ◽  
Significance Test ◽  
Error Rates ◽  
Time Resolved ◽  
Significance Level ◽  
Multimodal Monitoring ◽  
Arterial Blood ◽  
Significance Levels ◽  
The Individual

Recently, we introduced a mathematical toolkit called selected correlation analysis (sca) that reliably detects negative and positive correlations between arterial blood pressure (ABP) and intracranial pressure (ICP) data, recorded during multimodal monitoring, in a time-resolved way. As has been shown with the aid of a mathematical model of cerebral perfusion, such correlations reflect impaired autoregulation and reduced intracranial compliance in patients with critical neurological diseases. Sca calculates a Fourier transform-based index called selected correlation (sc) that reflects the strength of correlation between the input data and simultaneously an index called mean Hilbert phase difference (mhpd) that reflects the phasing between the data. To reliably detect pathophysiological conditions during multimodal monitoring, some thresholds for the abovementioned indexes sc and mhpd have to be established that assign predefined significance levels to that thresholds. In this paper, we will present a method that determines the rate of false positives for fixed pairs of thresholds (lsc, lmhpd). We calculate these error rates as a function of the predefined thresholds for each individual out of a patient cohort of 52 patients in a retrospective way. Based on the deviation of the individual error rates, we subsequently determine a globally valid upper limit of the error rate by calculating the predictive interval. From this predictive interval, we deduce a globally valid significance level for appropriate pairs of thresholds that allows the application of sca to every future patient in a prospective, bedside fashion.

scholarly journals Parameter Optimization for Selected Correlation Analysis of Intracranial Pathophysiology

2015 ◽  
Vol 2015 ◽  
pp. 1-7 ◽  
Author(s):  
Rupert Faltermeier ◽  
Martin A. Proescholdt ◽  
Sylvia Bele ◽  
Alexander Brawanski
Keyword(s):  
Correlation Analysis ◽  
Cerebral Autoregulation ◽  
High Sensitivity ◽  
Mathematical Tool ◽  
Time Resolved ◽  
Arterial Blood ◽  
Severe Impairment ◽  
Windowing Technique ◽  
Tool Set ◽  
Real Time Application

Recently we proposed a mathematical tool set, called selected correlation analysis, that reliably detects positive and negative correlations between arterial blood pressure (ABP) and intracranial pressure (ICP). Such correlations are associated with severe impairment of the cerebral autoregulation and intracranial compliance, as predicted by a mathematical model. The time resolved selected correlation analysis is based on a windowing technique combined with Fourier-based coherence calculations and therefore depends on several parameters. For real time application of this method at an ICU it is inevitable to adjust this mathematical tool for high sensitivity and distinct reliability. In this study, we will introduce a method to optimize the parameters of the selected correlation analysis by correlating an index, called selected correlation positive (SCP), with the outcome of the patients represented by the Glasgow Outcome Scale (GOS). For that purpose, the data of twenty-five patients were used to calculate the SCP value for each patient and multitude of feasible parameter sets of the selected correlation analysis. It could be shown that an optimized set of parameters is able to improve the sensitivity of the method by a factor greater than four in comparison to our first analyses.

scholarly journals Conditional canonical correlation estimation based on covariates with random forests

2021 ◽  
Author(s):  
Cansu Alakuş ◽  
Denis Larocque ◽  
Sébastien Jacquemont ◽  
Fanny Barlaam ◽  
Charles-Olivier Martin ◽  
...  
Keyword(s):  
Correlation Analysis ◽  
Canonical Correlation Analysis ◽  
Canonical Correlation ◽  
R Package ◽  
Significance Test ◽  
Supplementary Information ◽  
Canonical Correlations ◽  
Correlation Estimation ◽  
The Individual ◽  
Individual Trees

Abstract Motivation Investigating the relationships between two sets of variables helps to understand their interactions and can be done with canonical correlation analysis (CCA). However, the correlation between the two sets can sometimes depend on a third set of covariates, often subject-related ones such as age, gender or other clinical measures. In this case, applying CCA to the whole population is not optimal and methods to estimate conditional CCA, given the covariates, can be useful. Results We propose a new method called Random Forest with Canonical Correlation Analysis (RFCCA) to estimate the conditional canonical correlations between two sets of variables given subject-related covariates. The individual trees in the forest are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. We also propose a significance test to detect the global effect of the covariates on the relationship between two sets of variables. The performance of the proposed method and the global significance test is evaluated through simulation studies that show it provides accurate canonical correlation estimations and well-controlled Type-1 error. We also show an application of the proposed method with EEG data. Availability and implementation RFCCA is implemented in a freely available R package on CRAN (https://CRAN.R-project.org/package=RFCCA). Supplementary information Supplementary data are available at Bioinformatics online.

Surface Roughness of Two CAD/CAM Restorative Materials as Affected by Chewing Simulation v1

2022 ◽  
Author(s):  
eaeldwakhly not provided
Keyword(s):  
Surface Roughness ◽  
Computer Aided Design ◽  
Surface Characteristics ◽  
Ceramic Materials ◽  
Study Groups ◽  
Significance Level ◽  
Chewing Simulation ◽  
Computer Aided ◽  
Cad Cam ◽  
The Individual

This study was conducted to assess the surface characteristics in terms of roughness of two CAD/CAM (Computer-Aided-Design/Computer-Aided Manufacturing)restorative material spre and post chewing simulation exposure. Methods: Specimens were prepared from two CAD/CAM ceramic materials: Cerec Blocs C and IPS e-max ZirCAD. A total of 10 disks were prepared for each study group. 3D optical noncontact surface profiler was used to test the surface roughness (ContourGT, Bruker, Campbell, CA, USA). A silicone mold was used to fix the individual samples using a self-curing resin. Surface roughness (SR) was examined pre and post exposure to chewing simulation. 480,000 simulated chewing cycles were conducted to mimic roughly two years of intraoral clinical service. The results data was first tested for normality and equal variance (Levene’s test >0.05) then examined with paired and independent sample t-test at a significance level of (p < 0.05). Results:The two CAD-CAM materials tested exhibited increased surface roughness from baseline. The highest mean surface roughness was observed in Cerec blocs C group after chewing simulation (2.34 µm± 0.62 µm). Whereas the lowest surface roughness was observed in IPS e.max ZirCAD group before chewing simulation (0.42 µm± 0.16 µm). Both study groups exhibited significantly different surface roughness values (p< 0.05). There was a statistically higher surface roughness values after the chewing simulation in Cerec blocs C when compared to IPS e.max ZirCAD groups (p = 0.000).Conclusion:Even though both tested CAD/CAM materials differ in recorded surface roughness values, results were within clinically accepted values.

scholarly journals Windowed Multitaper Correlation Analysis of Multimodal Brain Monitoring Parameters

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
Rupert Faltermeier ◽  
Martin A. Proescholdt ◽  
Sylvia Bele ◽  
Alexander Brawanski
Keyword(s):  
Cerebral Perfusion ◽  
Neurocritical Care ◽  
Daily Practice ◽  
Statistical Testing ◽  
Huge Amount ◽  
Time Resolved ◽  
Testing Method ◽  
Arterial Blood ◽  
Windowing Technique ◽  
Statistical Testing Method

Although multimodal monitoring sets the standard in daily practice of neurocritical care, problem-oriented analysis tools to interpret the huge amount of data are lacking. Recently a mathematical model was presented that simulates the cerebral perfusion and oxygen supply in case of a severe head trauma, predicting the appearance of distinct correlations between arterial blood pressure and intracranial pressure. In this study we present a set of mathematical tools that reliably detect the predicted correlations in data recorded at a neurocritical care unit. The time resolved correlations will be identified by a windowing technique combined with Fourier-based coherence calculations. The phasing of the data is detected by means of Hilbert phase difference within the above mentioned windows. A statistical testing method is introduced that allows tuning the parameters of the windowing method in such a way that a predefined accuracy is reached. With this method the data of fifteen patients were examined in which we found the predicted correlation in each patient. Additionally it could be shown that the occurrence of a distinct correlation parameter, called scp, represents a predictive value of high quality for the patients outcome.

scholarly journals FBSEM: A Novel Feature-Based Stacked Ensemble Method for Sentiment Analysis

2020 ◽  
Vol 12 (6) ◽  
pp. 11-22
Author(s):  
Yasin Görmez ◽  
◽  
Yunus E. Işık ◽  
Mustafa Temiz ◽  
Zafer Aydın
Keyword(s):  
Sentiment Analysis ◽  
Cross Validation ◽  
Emotional State ◽  
Ensemble Methods ◽  
Extraction Methods ◽  
Error Rates ◽  
Ensemble Method ◽  
Learning Tasks ◽  
Feature Based ◽  
The Individual

Sentiment analysis is the process of determining the attitude or the emotional state of a text automatically. Many algorithms are proposed for this task including ensemble methods, which have the potential to decrease error rates of the individual base learners considerably. In many machine learning tasks and especially in sentiment analysis, extracting informative features is as important as developing sophisticated classifiers. In this study, a stacked ensemble method is proposed for sentiment analysis, which systematically combines six feature extraction methods and three classifiers. The proposed method obtains cross-validation accuracies of 89.6%, 90.7% and 67.2% on large movie, Turkish movie and SemEval-2017 datasets, respectively, outperforming the other classifiers. The accuracy improvements are shown to be statistically significant at the 99% confidence level by performing a Z-test.

scholarly journals Kompetensi Keagamaan Mahasiswa Prodi PAI Fakultas Tarbiyah dan Keguruan UIN Sunan Ampel Surabaya (Analisis Perbandingan Penerimaan Jalur SPAN, UM PTKIN dan Jalur Mandiri Tahun 2016)

2017 ◽  
Vol 5 (2) ◽  
pp. 244
Author(s):  
Sutikno Sutikno
Keyword(s):  
Teacher Training ◽  
Quantitative Research ◽  
Islamic Education ◽  
Average Score ◽  
Test Model ◽  
Significance Level ◽  
Education Teacher ◽  
Significance Levels ◽  
New Students ◽  
One Way Anova

<p><strong>Bahasa Indonesia:</strong></p><p>Realita menunjukkan bahwa ada sebagian mahasiswa Prodi PAI FTK UIN Sunan Ampel Surabaya penguasaan kompetensi keagamaannya kurang memadai, terutama dalam baca tulis al-Qur’a&gt;n dan al-H}adi&gt;th, baik yang diterima melalui jalur SPAN, UM PTKIN maupun jalur Mandiri. Dengan demikian, timbul kekhawatiran atas kesenjangan antara masukan dan harapan keluaran Prodi PAI yang mencetak calon guru PAI yang profesional. Penelitian deskriptif kuantitatif ini menggunakan pendekatan fenomenologi evaluatif. Hasil analisis menggunakan<em> One Way Anova</em> menunjukkan F<sub>hitung</sub> = 44,88 dan uji T dengan t<sub>hitung</sub> =  9,433. Apabila F<sub>hitung</sub> = 44,88 dikonfirmasi dengan nilai F<sub>tabel</sub>, baik menggunakan taraf signifikansi 5% dan 1%, maka F<sub>hitung</sub>&gt; F<sub>tabel </sub>(3,44 &lt; 44,88 &gt; 4,88). Apabila t<sub>hitung</sub> =  9,433 dikonfirmasi dengan nilai t<sub>tabel</sub>, baik menggunakan taraf signifikansi 5% dan 1%, maka t<sub>hitung</sub>&gt; t<sub>tabel </sub>(1,665 &lt; 9,433 &gt; 2,376), menunjukkan ada persamaan dan perbedaan yang signifikan kompetensi keagamaan mahasiswa Prodi PAI FTK UINSA, baik jalur SPAN, UM PTKIN maupun Mandiri. Persamaannya, <em>pertama</em> nilai rata-rata kompetensi keagamaan pada masing-masing jalur penerimaan terletak pada nilai A- s/d A (9,18 s/d 10,49); <em>kedua</em>, Studi H}adi&gt;th sebagai mata kuliah keagamaan dengan nilai terendah. Perbedaannya, nilai tertinggi jalur SPAN dan UM PTKIN ditempati oleh Aqidah Ilmu Kalam, sedangkan nilai tertinggi pada jalur mandiri ditempati oleh Fiqih Ibadah.</p><p> </p><p><strong>English:</strong></p><p>It is the fact that mastery of Islamic Religious Subjects by some new students at Islamic Education Department of UIN Sunan Ampel Surabaya is not yet satisfying, especially in reading al-Qur'a&gt;n and al-H}adi&gt;th, by those admitted through SPAN, UM PTKIN or Jalur Mandiri (institutional test). Thus, there is an apprehension about quality disparity between the input and expected output of Islamic education teacher training program to result in professional teachers. This descriptive quantitative research uses an evaluative phenomenology approach. Based on the results of the analysis using One Way Anova, obtained F-count = 44,88 and T-test, which yield t-count = 9,433. If F-count= 44.88 is confirmed against F-table score, using both the 5% and 1% significance levels, then F-count &gt; F-table (3.44 &lt;44,88&gt; 4.88). If t-count = 9,433 is confirmed with t-table value, using 5% and 1% significance level, then t-count &gt; t-table (1,665 &lt;9,433&gt; 2,376), shows there are similarities and significant differences of religious competence of students of Islamic education teacher training of UINSA admitted through SPAN, UM PTKIN and Jalur Mandiri. The similarities is, <em>first</em>, the average score of religious competence in every entry test model lies in the A- and A (9.18 to 10.49); <em>second</em>, in average students experienced H}adi&gt;th studies in the training process with as the lowest grade. The <em>difference</em> is that the students admitted through the SPAN and UM PTKIN modes achieved high score in Aqidah Ilmu Kalam during the training, while those coming from Jalur Mandiri are strong in Fiqh Ibadah (Fiqih 1).</p>

scholarly journals Performance Related Parameters Determining the Selection of Youth Players in Soccer

2020 ◽  
Vol 5 (1) ◽  
pp. 45-53
Author(s):  
Safa’a Ahmad Al Masri ◽  
Siti Musliha Mat Rasid
Keyword(s):  
Correlation Analysis ◽  
Pearson Correlation ◽  
Coefficient Of Determination ◽  
Muscular Endurance ◽  
Special Test ◽  
Significance Level ◽  
Skill Test ◽  
Trained Staff ◽  
Pearson Correlation Analysis ◽  
Selection Of

In the current study, a total of 86 soccer’s players with mean age of 14 years drawn from Terengganu soccer academy were tested in performing 10 parameters aiming at determining the performance of those players based on assessing the contribution of each activity and its corresponding significant level. The 10 performance related parameters involved anthropometry (BMI), fitness test (agility, coordination, muscular endurance (push and sit up), power, YoYo level), and football skill test (dribbling with ball, dribbling without ball and juggling).  All the parameters testing is carried out based on international standard and performed by well-trained staff.  The Pearson correlation analysis was used to achieve the objective in this study. Result shows a positive correlation between the two types of muscular parameters; the power is influenced by BMI and coordination; the specific football tests are highly impacted by the power and agility. The coefficient of determination  and the significance level -values show that the parameters that can be significantly considered are the anthropometric BMI (0.020), agility (0.025), muscular endurance (0.039 and 0.043), power (0.039), special football test without the ball (0.041), and juggling (0.046). The coordination, YoYo, football special test with the ball were not found to be significantly accounted for preparing the young players to achieve the required performance. Based on the results of the coefficient of determination and the significance -values of the parameters, a model was proposed to determine the highest and lowest parameters that play important roles in the selection of young players.

scholarly journals EYE AND FOOT COORDINATION CONTRIBUTION ON PASSING SKILLS IN FUTSAL ATLET AT SDIT IQRA BENGKULU

2018 ◽  
Vol 1 (1) ◽  
Author(s):  
Desrio Windoro
Keyword(s):  
Data Analysis ◽  
Correlation Analysis ◽  
Significant Relationship ◽  
Correlation Method ◽  
Homogeneity Test ◽  
Positive Contribution ◽  
Significance Level ◽  
Practice Test ◽  
Quantitative Correlation ◽  
Normality Test

<p><em>Futsal is one of the most popular extracurricular by students at SDIT IQRA1 of Bengkulu City. This study aims to determine the contribution of eyes and feet coordination towards basic passing skills on futsal athletes at SDIT IQRA 1 of Bengkulu City. The method used in this study is quantitative correlation method. Population in this study is all students of sport futsal extracurricular while the sample is 20 students. The instruments in this study are test of Soccer Wall Volley Test from Barry L. Johnson and to  measure the passing skill by using passing practice test. Prerequisite data analysis used is normality test with Lilliefors, homogeneity test and contribution test. The data analysis used is Product Moment Correlation analysis with 5% significance level. Based on the results of the study, it is found that (1) there is a significant relationship between coordination of eyes and feet (X) to the accuracy of the passing indicated by r count = 0.90977 &gt; r <sub>(0.05) (20</sub>) = 0.444. (2) There is a strong positive contribution of 82.768% between eyes and feet coordination (X) towards passing skill (Y) on futsal athletes at SDIT IQRA 1 of Bengkulu City.</em></p>

scholarly journals The Effect of Branchless Banking Strategy on the Financial Performance of Commercial Banks in Kenya

2017 ◽  
Vol 8 (4) ◽  
pp. 167 ◽  
Author(s):  
Gift Kimonge Dzombo ◽  
James M. Kilika ◽  
James Maingi
Keyword(s):  
Financial Performance ◽  
Commercial Banks ◽  
Banking Sector ◽  
Secondary Data ◽  
Exploratory Research ◽  
Electronic Banking ◽  
Economic Activities ◽  
Significance Level ◽  
Negative Effect ◽  
The Individual

The Banking sector acts as the life blood of modern trade and economic development. Commercial banks influence, facilitate and integrate the economic activities like resources mobilization, poverty elimination, production, and distribution of public finance. The financial performance of commercial banks has great implications in the financial sector and in the country at large, and will still remain an important subject of concern by all the stakeholders in the banking industry. In the last two decades, a lot of banking innovation has taken place in order to improve commercial banks financial performance. Branchless banking which involves the use of agency banking and electronic banking channels in the distribution of banking products and services is one such innovation. This study purpose was to evaluate the effect of branchless banking on the financial performance of commercial banks in Kenya. The specific objectives of the study were to analyze the individual effects of agency banking and electronic banking channels on the financial performance of commercial banks in Kenya and the combined effect of both agency and electronic banking on the financial performance of commercial banks in Kenya. The study adopted an exploratory research design. A survey of all the 42 licensed commercial banks in Kenya was done. Both primary and secondary data on branchless banking and financial performance of banks was obtained from the individual commercial banks, Central Bank of Kenya banking annual supervision reports respectively. Return on Assets (ROA) was used as the main indicator of commercial banks financial performance. The amount of investment in agency and electronic banking was used as indicator for agency and electronic banking. Data analysis was done using SPSS and STATA statistical softwares. Descriptive statistics, diagnostic tests and tests of hypothesis were done. Data was presented using tables and charts. Study findings indicated that when used in isolation; both agency and electronic banking had a significant negative effect on the financial performance of commercial banks at 5 percent significance level. However, when agency and electronic banking channels were used together as a multichannel strategy, they had a significant positive effect on bank’s financial performance at 5 percent significance level. The study recommends that for positive returns, commercial banks should invest in both agency and electronic banking as a multichannel strategy since these channels are complimentary to each other.

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