scholarly journals A Primer on Design and Data Analysis for Cognitive Pupillometry

2021 ◽  
Author(s):  
Jamie Reilly ◽  
Bonnie Zuckerman ◽  
Alexandra Kelly
Keyword(s):  
Data Analysis ◽  
Individual Differences ◽  
Measurement Techniques ◽  
Historical Evolution ◽  
Pupil Response ◽  
Human Eye ◽  
Open Questions ◽  
Common Problems ◽  
Methodological Considerations ◽  
Anatomical Constraints

This chapter presents an accessible overview of methodological considerations, open questions, and solutions to common problems encountered conducting a valid and reliable cognitive pupillometry study. Topics include historical evolution of pupillary measurement techniques, parameterization of the human task-evoked (cognitive) pupil response, individual differences, and idiosyncratic anatomical constraints imposed by the human eye.

Methodological Considerations and Individual Differences in Visual Search

2007 ◽  
Author(s):  
Christopher K. Barrett ◽  
Erin C. Anderson ◽  
Ruben R. Romero ◽  
Daniel J. Staggs ◽  
Mohammed Kordbacheh ◽  
...  
Keyword(s):  
Individual Differences ◽  
Visual Search ◽  
Methodological Considerations

Computational Strategies for Analyzing Data in Gene Expression Microarray Experiments

2003 ◽  
Vol 01 (03) ◽  
pp. 541-586 ◽  
Author(s):  
Tero Aittokallio ◽  
Markus Kurki ◽  
Olli Nevalainen ◽  
Tuomas Nikula ◽  
Anne West ◽  
...  
Keyword(s):  
Gene Expression ◽  
Data Analysis ◽  
Microarray Data ◽  
Microarray Data Analysis ◽  
Biological Research ◽  
Microarray Experiments ◽  
Dna Microarray Data ◽  
Open Questions ◽  
Analysis Technique ◽  
Wide Range

Microarray analysis has become a widely used method for generating gene expression data on a genomic scale. Microarrays have been enthusiastically applied in many fields of biological research, even though several open questions remain about the analysis of such data. A wide range of approaches are available for computational analysis, but no general consensus exists as to standard for microarray data analysis protocol. Consequently, the choice of data analysis technique is a crucial element depending both on the data and on the goals of the experiment. Therefore, basic understanding of bioinformatics is required for optimal experimental design and meaningful interpretation of the results. This review summarizes some of the common themes in DNA microarray data analysis, including data normalization and detection of differential expression. Algorithms are demonstrated by analyzing cDNA microarray data from an experiment monitoring gene expression in T helper cells. Several computational biology strategies, along with their relative merits, are overviewed and potential areas for additional research discussed. The goal of the review is to provide a computational framework for applying and evaluating such bioinformatics strategies. Solid knowledge of microarray informatics contributes to the implementation of more efficient computational protocols for the given data obtained through microarray experiments.

Multi-Road User Simulation: Methodological Considerations from Study Planning to Data Analysis

2017 ◽  
pp. 403-418 ◽  
Author(s):  
Dominik Muehlbacher ◽  
Katharina Preuk ◽  
Christian Lehsing ◽  
Sebastian Will ◽  
Mandy Dotzauer
Keyword(s):  
Data Analysis ◽  
Road User ◽  
Study Planning ◽  
User Simulation ◽  
Methodological Considerations

scholarly journals HUBUNGAN KEKUATAN OTOT TUNGKAI DAN KOORDINASI MATA KAKI TERHADAP HASIL SHOOTING BOLA DIAM KE ARAH GAWANG

2019 ◽  
Vol 2 (1) ◽  
pp. 36
Author(s):  
Jack suman Rulis Manurung
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Muscle Strength ◽  
Measurement Techniques ◽  
Sampling Technique ◽  
Leg Muscle ◽  
Relationship Of ◽  
The Relationship ◽  
Computerized System ◽  
Method Of Correlation

The purpose of this research is to find out: 1) The relationship of leg muscle strength to the results of shooting the silent ball towards the goal. 2) Relationship between ankle coordination and the result of shooting the ball silently towards the goal. 3) The relationship between leg muscle strength and ankle coordination towards the results of shooting the ball silently towards the goal.The method used in this study is a method of correlation with test and measurement techniques. Data analysis was carried out by a computerized system with simple or multiple regression analysis. The population in this study were students who participated in extra-curricular football at Pontianak's N 8 High School, totaling 22 people. In this study, there was no sampling technique because it took all the population who participated in 22 extra-curricular activities.The results of the analysis of the data obtained indicate that: 1) There is a relationship between leg muscle strength to the results of shooting the silent ball towards the goal. 2) There is a coordination relationship between the ankles and the result of shooting the silent ball towards the goal. 3) There is a relationship between leg muscle strength and ankle coordination towards the results of shooting the silent ball towards the goal.The amount of donation given by leg muscle strength to the results of silent ball shooting towards the goal was 52.1%, while the coordination contribution of the ankle to the results of silent ball shooting towards the goal was 25.3%. While the magnitude of the contribution given by the two variables, namely leg muscle strength and ankle coordination was 59% of the results of shooting the silent ball towards the goal. It is recommended that in addition to practicing silent ball shooting techniques towards the goal, leg muscle strength should be taken into consideration for the trainer in giving a portion of training.

scholarly journals Detection of the homotopy type of an object using differential invariants of an approximating map

2019 ◽  
Vol 43 (4) ◽  
pp. 611-617
Author(s):  
S.V. Kurochkin
Keyword(s):  
Neural Network ◽  
Data Analysis ◽  
Homotopy Type ◽  
Morse Theory ◽  
Object Representation ◽  
Differential Invariants ◽  
Topological Data Analysis ◽  
Higher Dimension ◽  
Differential Topology ◽  
Open Questions

A method of topological data analysis is proposed that allows one to find out the homotopy type of the object under study. Unlike mature and widely used methods based on persistent homologies, our method is based on computing differential invariants of some map associated with an approximating map. Differential topology tools and the analogy with the main result in Morse theory are used. The approximating map can be constructed in the usual way using a neural network or otherwise. The method allows one to identify the homotopy type of an object in the plane because the number of circles in the homotopy equivalent object representation as a wedge is expressed through the degree of some map associated with the approximating map. The performance of the algorithm is illustrated by examples from the MNIST database and transforms thereof. Generalizations and open questions relating to a higher-dimension case are discussed.

Iranian EFL Learners' Cognitive Styles and Their Explanations of Conceptual Metaphors

2018 ◽  
Vol 8 (1) ◽  
pp. 68-78
Author(s):  
Somaye Piri ◽  
Dara Tafazoli
Keyword(s):  
Data Analysis ◽  
Individual Differences ◽  
Test Data ◽  
Cognitive Styles ◽  
Target Domain ◽  
Conceptual Metaphors ◽  
Efl Learners ◽  
Source Domain ◽  
Metaphor Processing

The current study aims to investigate Iranian EFL learners' cognitive styles and their explanations of conceptual metaphors, offering a possible range of individual differences in metaphor processing. 71 participants were asked to explain some established conceptual metaphors that are commonly used in English. Then, their cognitive styles were classified into “analytic” or “holistic” and “imager” or “verbalizer” by means of cognitive styles test. Data analysis revealed that 29 participants (40.85%) explained the three conceptual metaphors by making structural correspondences between source and target domain. Moreover, 20 participants (28.17%) explained at least one of the metaphors by applying elements which were not part of the source domain. The results of the experiment revealed that learners with “holistic” cognitive styles were more likely to blend their conception of the target domain with the source domain in comparison to participants with “analytic” styles; also, “imagers” were more likely than “verbalizers” to refer to stereotypical images to explain the metaphors.

scholarly journals Towards Mass Spectrometry-Based Chemical Exposome: Current Approaches, Challenges, and Future Directions

Toxics ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 41 ◽  
Author(s):  
Jingchuan Xue ◽  
Yunjia Lai ◽  
Chih-Wei Liu ◽  
Hongyu Ru
Keyword(s):  
Mass Spectrometry ◽  
Data Analysis ◽  
Measurement Techniques ◽  
Future Directions ◽  
Computational Tools ◽  
High Throughput Data ◽  
Chemical Pollutants ◽  
Health And Disease ◽  
High Throughput Data Analysis

The proposal of the “exposome” concept represents a shift of the research paradigm in studying exposure-disease relationships from an isolated and partial way to a systematic and agnostic approach. Nevertheless, exposome implementation is facing a variety of challenges including measurement techniques and data analysis. Here we focus on the chemical exposome, which refers to the mixtures of chemical pollutants people are exposed to from embryo onwards. We review the current chemical exposome measurement approaches with a focus on those based on the mass spectrometry. We further explore the strategies in implementing the concept of chemical exposome and discuss the available chemical exposome studies. Early progresses in the chemical exposome research are outlined, and major challenges are highlighted. In conclusion, efforts towards chemical exposome have only uncovered the tip of the iceberg, and further advancement in measurement techniques, computational tools, high-throughput data analysis, and standardization may allow more exciting discoveries concerning the role of exposome in human health and disease.

scholarly journals Advances and Open Questions in the Science of Subjective Well-Being

2018 ◽  
Vol 4 (1) ◽  
Author(s):  
Ed Diener ◽  
Richard E. Lucas ◽  
Shigehiro Oishi
Keyword(s):  
Individual Differences ◽  
Well Being ◽  
Experimental Designs ◽  
Active Area ◽  
Subjective Well Being ◽  
National Accounts ◽  
Policy Decisions ◽  
The Past ◽  
Open Questions ◽  
Process Oriented

Subjective well-being (SWB) is an extremely active area of research with about 170,000 articles and books published on the topic in the past 15 years. Methodological and theoretical advances have been notable in this period of time, with the increasing use of longitudinal and experimental designs allowing for a greater understanding of the predictors and outcomes that relate to SWB, along with the process that underlie these associations. In addition, theories about these processes have become more intricate, as findings reveal that many associations with SWB depend on people’s culture and values and the context in which they live. This review provides an overview of many major areas of research, including the measurement of SWB, the demographic and personality-based predictors of SWB, and process-oriented accounts of individual differences in SWB. In addition, because a major new focus in recent years has been the development of national accounts of subjective well-being, we also review attempts to use SWB measures to guide policy decisions.

scholarly journals Atmospheric Pollutant Dispersion over Complex Terrain: Challenges and Needs for Improving Air Quality Measurements and Modeling

Atmosphere ◽  
2020 ◽  
Vol 11 (6) ◽  
pp. 646 ◽  
Author(s):  
Lorenzo Giovannini ◽  
Enrico Ferrero ◽  
Thomas Karl ◽  
Mathias W. Rotach ◽  
Chantal Staquet ◽  
...  
Keyword(s):  
Air Quality ◽  
Complex Terrain ◽  
Spatial Scales ◽  
Measurement Techniques ◽  
Pollutant Dispersion ◽  
Quality Parameters ◽  
Future Research ◽  
Atmospheric Pollutant ◽  
Open Questions ◽  
Air Quality Measurements

Pollutant dispersion processes over complex terrain are much more complicated than over flat areas, as they are affected by atmospheric interactions with the orography at different spatial scales. This paper reviews recent findings and progress in this field, focusing on both experimental and modeling perspectives. It highlights open questions and challenges to our capability for better understanding and representing atmospheric processes controlling the fate of pollutants over mountainous areas. In particular, attention is focused on new measurement techniques for the retrieval of spatially distributed turbulence information and air quality parameters, and on challenges for meteorological and dispersion models to reproduce fine-scale processes influenced by the orography. Finally, specific needs in this field are discussed, along with possible directions for future research efforts.

Multidimensional Scaling and Individual Differences

1971 ◽  
Vol 8 (1) ◽  
pp. 71-77 ◽  
Author(s):  
Paul E. Green ◽  
Vithala R. Rao
Keyword(s):  
Data Analysis ◽  
Individual Differences ◽  
Multidimensional Scaling ◽  
Synthetic Data

This article compares, via synthetic data analysis, the performance of five different methods for scaling averaged dissimilarities data under conditions involving individual differences in “perception.” All methods perform well when no “degradation” of the (simulated) ratings is entailed. When the data are transformed to zero-one values—a procedure sometimes followed in applied studies—all procedures perform poorly compared to the no-degradation case. Implications of these results for scaling applications involving group solutions are discussed.

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