scholarly journals Star Coordinate Dimension Arrangement using Euclidean Distance and Pearson Correlation

2018 ◽  
Vol 12 (1) ◽  
pp. 348
Author(s):  
Noor Elaiza Abdul Khalid ◽  
Izyan Izzati Kamsani
Keyword(s):  
Data Analysis ◽  
Prior Knowledge ◽  
Euclidean Distance ◽  
Pearson Correlation ◽  
Visualization Technique ◽  
Hidden Information ◽  
Correlation Data ◽  
The Right ◽  
Pearson Correlations

<span>Star Coordinate (SC) is a circular visualization technique that maps k-dimensional data. Its interactive features allow user to manipulate projections to search for hidden information. Without prior knowledge of relationship between dimensions users will be blindly searching for clusters. This paper proposes dimension rearrangement using Euclidean Distance and Pearson Correlations to reveal the clusters in SC. The methodology consists of four phases; Calculate the distance between individual attributes against a dependent attribute using Euclidean distance; Pearson correlation is used to obtain the correlation data attributes; Sort the correlation values in ascending order; finally, attributes table are reordered with the positive values to the right and negative values to the left according to the correlation value. The resulting tables are applied to produce the SC. This method is successful in producing clusters that makes it easier for the users to further manipulate the SC for their data analysis.</span>

Converting Raw Accelerometer Data to Activity Counts Using Open-Source Code: Implementing a MATLAB Code in Python and R, and Comparing the Results to ActiLife

2021 ◽  
pp. 1-7
Author(s):  
Ruben Brondeel ◽  
Yan Kestens ◽  
Javad Rahimipour Anaraki ◽  
Kevin Stanley ◽  
Benoit Thierry ◽  
...  
Keyword(s):  
Open Source ◽  
Pearson Correlation ◽  
Vertical Axis ◽  
Accelerometer Data ◽  
Accelerometer Sensor ◽  
Interclass Correlation ◽  
Acceleration Data ◽  
The Right ◽  
Pearson Correlations ◽  
Closed Source

Background: Closed-source software for processing and analyzing accelerometer data provides little to no information about the algorithms used to transform acceleration data into physical activity indicators. Recently, an algorithm was developed in MATLAB that replicates the frequently used proprietary ActiLife activity counts. The aim of this software profile was (a) to translate the MATLAB algorithm into R and Python and (b) to test the accuracy of the algorithm on free-living data. Methods: As part of the INTErventions, Research, and Action in Cities Team, data were collected from 86 participants in Victoria (Canada). The participants were asked to wear an integrated global positioning system and accelerometer sensor (SenseDoc) for 10 days on the right hip. Raw accelerometer data were processed in ActiLife, MATLAB, R, and Python and compared using Pearson correlation, interclass correlation, and visual inspection. Results: Data were collected for a combined 749 valid days (>10 hr wear time). MATLAB, Python, and R counts per minute on the vertical axis had Pearson correlations with the ActiLife counts per minute of .998, .998, and .999, respectively. All three algorithms overestimated ActiLife counts per minute, some by up to 2.8%. Conclusions: A MATLAB algorithm for deriving ActiLife counts was implemented in R and Python. The different implementations provide similar results to ActiLife counts produced in the closed source software and can, for all practical purposes, be used interchangeably. This opens up possibilities to comparing studies using similar accelerometers from different suppliers, and to using free, open-source software.

scholarly journals Hubungan Antara Self-Efficacy dengan Pengambilan Keputusan Karier pada Mahasiswa Tingkat Akhir Fakultas Psikologi

2018 ◽  
Vol 3 (1) ◽  
pp. 1-19
Author(s):  
Ruth Imelda Kurniasari ◽  
Agoes Dariyo ◽  
Rita Markus Idulfilastri
Keyword(s):  
Decision Making ◽  
Data Analysis ◽  
Self Efficacy ◽  
Pearson Correlation ◽  
Negative Relationship ◽  
Sampling Technique ◽  
Female Gender ◽  
Career Decision ◽  
Career Decision Making ◽  
The Right

Bandura (1997) says that self-efficacy is an individual's belief in his ability that affects the individual's way of reacting to certain situations and conditions. According to Gati, Krausz and Osipow (1996) suggested career decision-making refers to "ideal career decision maker". The statement means the process by which the individual is aware of a need to make a career decision, be able to make it happen, and be able to make the right decision by using the right process and best suited to the individual's goals. The purpose of this study is to determine the relationship between self-efficacy and career decision making at the final grade students at the Faculty of Psychology (Case Study at University In West Jakarta). Researchers obtained data of 214 subjects of final level of faculty of psychology at 5 universities in West Jakarta, with male gender amounted to 46 students and female gender amounted to 168 students. This study uses convenience sampling technique, data collection in this study using self-efficacy questionnaires, and questionnaires career decision-making difficulties. The result of data analysis using parametric technique, that is pearson correlation. Based on data analysis, there is a significant negative relationship between self-efficacy and career decision making (r = -0.409, p = 0,000 <0.01)

scholarly journals Examining concurrent validity between COMLEX-USA Level 2-Cognitive Evaluation and COMLEX-USA Level 2-Performance Evaluation

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Brandon Craig ◽  
Xiaolin Wang ◽  
Jeanne Sandella ◽  
Tsung-Hsun Tsai ◽  
David Kuo ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Concurrent Validity ◽  
Pearson Correlation ◽  
The United States ◽  
National Board ◽  
Cognitive Evaluation ◽  
Competency Domain ◽  
Medical Examiners ◽  
Pearson Correlations ◽  
Level 2

Abstract Context The Comprehensive Osteopathic Medical Licensing Examination of the United States of America (COMLEX-USA) is a three level examination used as a pathway to licensure for students in osteopathic medical education programs. COMLEX-USA Level 2 includes a written assessment of Fundamental Clinical Sciences for Osteopathic Medical Practice (Level 2-Cognitive Evaluation [L2-CE]) delivered in a computer based format and separate performance evaluation (Level 2-Performance Evaluation [L2-PE]) administered through live encounters with standardized patients. L2-PE was designed to augment L2-CE. It is expected that the two examinations measure related yet distinct constructs. Objectives To explore the concurrent validity of L2-CE with L2-PE. Methods First attempt test scores were obtained from the National Board of Osteopathic Medical Examiners database for 6,639 candidates who took L2-CE between June 2019 and May 2020 and matched to the students’ L2-PE scores. The sample represented all colleges of osteopathic medicine and 97.5% of candidates who took L2-CE during the complete 2019–2020 test cycle. We calculated disattenuated correlations between the total score for L2-CE, the L2-CE scores for the seven competency domains (CD1 through CD7), and the L2-PE scores for the Humanistic Domain (HM) and Biomedical/Biomechanical Domain (BM). All scores were on continuous scales. Results Pearson correlations ranged from 0.10 to 0.88 and were all statically significant (p<0.01). L2-CE total score was most strongly correlated with CD2 (0.88) and CD3 (0.85). Pearson correlations between the L2-CE competency domain subscores ranged from 0.17 to 0.70, and correlations which included either HM or BM ranged from 0.10 to 0.34 with the strongest of those correlations being between BM and L2-CE total score (0.34) as well as between HM and BM (0.28).The largest increase between corresponding Pearson and disattenuated correlations was for pairs of scores with lower reliabilities such as CD5 and CD6, which had a Pearson correlation of 0.17 and a disattenuated correlation of 0.68. The smallest increase in correlations was observed in pairs of scores with larger reliabilities such as L2-CE total score and HM, which had a Pearson correlation of 0.23 and a disattenuated correlation of 0.28. The reliability of L2-CE was 0.87, 0.81 for HM, and 0.73 for BM. The reliabilities for the L2-CE competency domain scores ranged from 0.22 to 0.74. The small to moderate correlations between the L2-CE total score and the two L2-PE support the expectation that these examinations measure related but distinct constructs. The correlations between L2-PE and L2-CE competency domain subscores reflect the distribution of items defined by the L2-PE blueprint, providing evidence that the examinations are performing as designed. Conclusions This study provides evidence supporting the validity of the blueprints for constructing COMLEX-USA Levels 2-CE and 2-PE examinations in concert with the purpose and nature of the examinations.

Sequence of Nasal-Stops as a Distinct Segment in Balinese

2017 ◽  
Vol 9 (1) ◽  
pp. 51
Author(s):  
I Nyoman Suparsa
Keyword(s):  
Data Analysis ◽  
Body Posture ◽  
Official Document ◽  
Word Structure ◽  
The Right ◽  
Short Body

The article entitled “Sequence of Nasal-Stops as A Distinct Segment in Balinese” attempts to investigate wheather Balinese has sequence of nasal stops both bilabial nasal stops (<m-b>, <m-p>), alveolar nasal-stops (<n-d>, <n-t>), and velar nasal-stops (<ng-g>, <ng-k> or it has a prenasal stops both bilabial prenasal stops (<mb>, <mp>), alveolar prenasal stops (<nd>, <nt>) or it has velar prenasal stops (<ngg>, <ngk>). Based upon the data analysis, it has sequence of nasal-stop segments. The judgement is based on (1) the existence of suspicious syllabic nasal phonemes, (2) its clear word structure such as (a) VC.CVC e.g. <aggag> /aggag/ [ag.gag] ‘open’, (b) CVC.CV e.g. <bakta> /bakta/ [bak.ta] ‘bring’, (c) CVC.CVC e.g. <dapdap> /dapdap/ [dap.dap] ‘careful’ and (d) VC.CV e.g. <akta> /akta/ [ak.ta] ’official document’. (3) On the bases of its clear word structure, Balinese shares sequence of nasal-stop segments both bilabial nasal-stop such as <m-b> e.g. <embok> ‘elder sister’ of which the right pronunciation is [ǝm.bɔk] rather than prenasal stop [ᵐb] as in [ᵐbɔk], alveolar nasal-stop such as <n-d> in <cande> ‘just for kidding’ of which the right pronunciation is [can.dǝ] rather than prenasal stop [ⁿd] in [ca.ⁿdǝ] and velar nasal-stop such as <ng-g> in <bengkek> ‘short body posture’ of which the right pronunciation is [bǝŋ.kǝk] rather than velar prenasal [ᵑg] in [bǝ.ᵑkǝk].

scholarly journals Marriage Function as Protection Rights Against Wife and Children Right in Polygamous Marriage

Jurnal Akta ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 277
Author(s):  
Muhammad Madih ◽  
Munsharif Abdul Chalim
Keyword(s):  
Data Analysis ◽  
Legal Protection ◽  
Children's Rights ◽  
Children’S Rights ◽  
Legal Remedies ◽  
Polygamous Marriage ◽  
Marriage Contract ◽  
The Right ◽  
Husband And Wife ◽  
Laws And Regulations

Marriage is a bond between man and woman which is also the religion of Islam is a way of worship, that in the community there is monogamy: one husband and one wife, but there are also polygamous marriage is one man with more than one wife with their applicable laws and regulations for implementation. The purpose of this study was to: 1) To determine the function of the marriage covenant can provide legal protection of the rights wife and children in polygamous marriages. 2) To determine the right of wife and children in polygamous marriages. 3) To know the legal remedies can be done to determine the rights of wives and children in polygamous marriages. Based on the results of data analysis concluded that: 1) The function of the marriage contract may provide legal protection of the rights of the wife and children in polygamous marriages as a certainty or limitation of rights received by his wife and children during the marriage took place and as a measure for husbands to act fairly in polygamous marriages , 2) The position of the right wife and children in polygamous marriages, namely the right wife by the husband proportionate balanced well after their second marriage and so are the rights of children still get their right in accordance with the provisions of the Act. 3) Remedies that can be done to determine the right istir and children in polygamous marriages with authentic mating agreements made governing the boundary between the rights and obligations of husband and wife in a polygamous marriage.Keywords: Marriage; Polygamy; Marriages Agreement; Wife and Children's Rights.

scholarly journals NILAI-NILAI SUFISME DALAM JAMAAH SHALAWAT WAHIDIYYAH DI KEDIRI DAN MALANG

2017 ◽  
Vol 1 (2) ◽  
pp. 1-28
Author(s):  
Fatkhul Wahab ◽  
Ahmad Bukhori ◽  
Athiyah
Keyword(s):  
Data Analysis ◽  
Qualitative Study ◽  
Data Reduction ◽  
Participant Observation ◽  
Religious Tradition ◽  
Analysis Techniques ◽  
Muslim Communities ◽  
The Right ◽  
Depth Interviews

Among Muslim communities, love of the Prophet Muhammad embodied in a religious tradition known as shalawāh tradition. Shalawāh is an expression of deep gratitude for the guidance to Muslims on the right path. Sufism that emphasizes reading Shalawāh of the Prophet Muhammad as dhikr primarily is Shalawāh Wāhidiyah. The main purpose of Shalawāh Wāhidiyah is to alleviate people from the shirk and return to the straight and true that by pleasing Allah. The focuses of this study are: (1) how do the precepts and values of Sufism in the Jamaat Shalawāh Wāhidiyah? (2)  How do the precepts and values are promoted and practiced by Jamaat Shalawāh Wāhidiyah? (3)  How does the experience of spirituality Jamaat Shalawāh Wāhidiyah? This study is a qualitative study by using a naturalistic paradigm and phenomenology approach. The data were collected by in-depth interviews, participant observation, and documentary in the form of journals, magazines and so on. While the data analysis techniques include data reduction, presentation of data, the validity of the data and drawing conclusions. The results of this study indicate that: (1) Shalawāh Wāhidiyah precepts include: a. li Allāh, bi Allāh; b. li al-RasÅ«l, bi al-RasÅ«l; c. li al-ghauts bi al-ghauts; d. yu'thÄ« kull dzÄ« ḥaqq; e. taqdÄ«m al-hamm tsumm al-hamm, fa al-fa’ tsumm al-fa'. The values contained in Shalawāh Wāhidiyah Sufism, among others: taubah, ikhlāsh, syukr, mahabbah. (2) Socialization Shalawāh Wāhidiyah precepts are done by 1. individual, 2. packaged in a formal form as mujāhadah nishf al-sanah and mujāhadah kubrā, 3. through dreams, 4. implemented in the form of books, magazines, newsletters, and CDs. While this practice Shalawāh Wāhidiyah carried out in different ways mujāhadah usbÅ«'iyyah, mujāhadah syahriyyah, mujāhadah rub’ al-sanah, mujāhadah nishf al-sanah, and so forth. Keywords: The values of Sufism, Shalawāh Wāhidiyah

scholarly journals DAMPAK PERILAKU KONSUMEN TERHADAP PENGGUNAAN AKSES SITUS ON-LINE SHOP (STUDI KASUS PADA MAHASISWA DI UNIVERSITAS PANCASAKTI TEGAL)

2018 ◽  
Vol 1 (2) ◽  
pp. 148
Author(s):  
Agnes Dwita Susilawati ◽  
Dewi Apriani Fr
Keyword(s):  
Data Analysis ◽  
Consumer Behavior ◽  
Consumer Satisfaction ◽  
Human Life ◽  
The Internet ◽  
Chi Square ◽  
Cultural Economic ◽  
Good Communication ◽  
On Line ◽  
The Right

<p>ABSTRACT</p><p><br />The development of information technology has touched various joints of human life, especially the development of the internet. The development of the internet forms a new world where every individual has the right and ability to interact with other individuals indefinitely. The objectives of the research are (1) The influence of service quality on consumer satisfaction in accessing online shop website, (2) To know the influence of attitude and trust toward online shop shop user and (3) Influence of satisfaction to consumer loyalty online shop. Data analysis method used is included in the category of quantitative data analysis is a data analysis using statistical instruments. Statistical instruments used are Chi Square Test and performed using SPSS (Statistical Package For Social Science) software. The results of model fit testing showed that the four factors (cultural, economic, social and ethical) that have the most contigency coefficient on consumer behavior in accessing online shop site are Social variables. This means showing a group of people or individuals having a relationship between consumers with each other in choosing products through an online shop site and building good communication in choosing products and knowing the risks faced when buying products through online shop site.</p><p>Keywords: Consumer Behavior, Use of On-Line Website Access Shop</p>

scholarly journals Language Choice in Azerbaijani Context: A Sociolinguistic perspective

2020 ◽  
Vol 23 (4) ◽  
pp. 76-89
Author(s):  
Narmin Rzayeva ◽  
Ilham Tagiyev ◽  
Azad Mammadov
Keyword(s):  
Data Analysis ◽  
Experimental Work ◽  
Quantitative Method ◽  
Language Choice ◽  
Medium Of Instruction ◽  
International Language ◽  
The Right

This study deals with the issue of language choice from sociolinguistic perspectives. The problem of multilingualism and plurilingualism in sociolinguistics occupies a special field for the study and evokes the interest of most linguists. The goal of the research was to investigate language choice from sociolinguistic perspectives. This experimental work was carried out to verify the right choice of language (English, Russian, and Azerbaijani) and to identify its effectiveness, the data were processed and interpreted based on analysis. Special attention was paid to the multilingualism / plurilingualism issues and multilingualism in Azerbaijan separately. This paper presents the results of the quantitative method for sociolinguistic research in language. It was based on the interviews that were conducted among parents in order to learn their tendency to bring up their children in a multilingual society. Thus, parents were interviewed in different schools with Russian, Azerbaijani and English mediums of instruction; a school with Azerbaijani medium of instruction named as “Zangi” lyceum, a school with Russian medium named as “N_12”, a school with English medium called as “Baku-Oxford School”. This paper is an in-depth, multidimensional study of such choices in language. The results of the data analysis affirm a solid status of English as an international language in Azerbaijan and emphasize an undeniable position of the Azerbaijani language as well.

scholarly journals Benchmarking Effectiveness and Efficiency of Deep Learning Models for Semantic Textual Similarity in the Clinical Domain: Validation Study

10.2196/27386 ◽  
2021 ◽  
Vol 9 (12) ◽  
pp. e27386
Author(s):  
Qingyu Chen ◽  
Alex Rankine ◽  
Yifan Peng ◽  
Elaheh Aghaarabi ◽  
Zhiyong Lu
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Mean Squared Error ◽  
Pearson Correlation ◽  
Data Set ◽  
Squared Error ◽  
Real Time Applications ◽  
Effectiveness And Efficiency ◽  
Pearson Correlations

Background Semantic textual similarity (STS) measures the degree of relatedness between sentence pairs. The Open Health Natural Language Processing (OHNLP) Consortium released an expertly annotated STS data set and called for the National Natural Language Processing Clinical Challenges. This work describes our entry, an ensemble model that leverages a range of deep learning (DL) models. Our team from the National Library of Medicine obtained a Pearson correlation of 0.8967 in an official test set during 2019 National Natural Language Processing Clinical Challenges/Open Health Natural Language Processing shared task and achieved a second rank. Objective Although our models strongly correlate with manual annotations, annotator-level correlation was only moderate (weighted Cohen κ=0.60). We are cautious of the potential use of DL models in production systems and argue that it is more critical to evaluate the models in-depth, especially those with extremely high correlations. In this study, we benchmark the effectiveness and efficiency of top-ranked DL models. We quantify their robustness and inference times to validate their usefulness in real-time applications. Methods We benchmarked five DL models, which are the top-ranked systems for STS tasks: Convolutional Neural Network, BioSentVec, BioBERT, BlueBERT, and ClinicalBERT. We evaluated a random forest model as an additional baseline. For each model, we repeated the experiment 10 times, using the official training and testing sets. We reported 95% CI of the Wilcoxon rank-sum test on the average Pearson correlation (official evaluation metric) and running time. We further evaluated Spearman correlation, R², and mean squared error as additional measures. Results Using only the official training set, all models obtained highly effective results. BioSentVec and BioBERT achieved the highest average Pearson correlations (0.8497 and 0.8481, respectively). BioSentVec also had the highest results in 3 of 4 effectiveness measures, followed by BioBERT. However, their robustness to sentence pairs of different similarity levels varies significantly. A particular observation is that BERT models made the most errors (a mean squared error of over 2.5) on highly similar sentence pairs. They cannot capture highly similar sentence pairs effectively when they have different negation terms or word orders. In addition, time efficiency is dramatically different from the effectiveness results. On average, the BERT models were approximately 20 times and 50 times slower than the Convolutional Neural Network and BioSentVec models, respectively. This results in challenges for real-time applications. Conclusions Despite the excitement of further improving Pearson correlations in this data set, our results highlight that evaluations of the effectiveness and efficiency of STS models are critical. In future, we suggest more evaluations on the generalization capability and user-level testing of the models. We call for community efforts to create more biomedical and clinical STS data sets from different perspectives to reflect the multifaceted notion of sentence-relatedness.

scholarly journals Quantitative MRI Reveals Grey Matter Abnormalities in Children With Drug-Naïve Attention-Deficit/Hyperactivity Disorder

2021 ◽  
Author(s):  
Shu Su ◽  
Yingqian Chen ◽  
Yan Dai ◽  
Liping Lin ◽  
Long Qian ◽  
...  
Keyword(s):  
Pearson Correlation ◽  
Quantitative Mri ◽  
Adhd Group ◽  
General Linear Model Analysis ◽  
T2 Map ◽  
Drug Naïve ◽  
T1 And T2 ◽  
And Gender ◽  
Clinical Measurements ◽  
The Right

Abstract Purpose To investigate the quantitative profiles of brain GM in pediatric drug-naïve ADHD patients using Synthetic magnetic resonance imaging (SyMRI). Method and Materials: A total of 37 drug-naïve pediatric ADHD and 27 age- and gender-matched healthy controls (HC) were enrolled in this study. Each subject underwent both SyMRI and conventional 3D T1-FSPGR scans. Quantitative parameters, T1 and T2 maps, were extracted from the SyMRI data. Between-group quantitative maps were compared using a general linear model analysis. Pearson correlation analysis was conducted to assess the association between significantly altered MR indices and clinical measurements in ADHD. Results Compared with the HC group, altered T1 and T2 relaxometry times in the ADHD group were mainly distributed in GM regions of the cerebellum, attention and execution control network, default mode network, and limbic areas. Moreover, the T1 value of the right cerebellum 8 was negatively correlated with the attention concentration level in ADHD (R = 0.1401, P = 0.0225). With regards to T2 map, the associations were observed between the attention level of ADHD patients and left fusiform gyrus (R = 0.2509, P = 0.0016), and right cerebellum crus2 (R = 0.1422, P = 0.0214). Conclusion Altered T1, T2 values found in specific regions of GM may reveal widespread micromorphology changes, i.e., brain iron deficiency, low myelin content, and enlarged vascular interstitial space in ADHD patients. Thus, T1, T2 values might be promising imaging markers for future ADHD studies.

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