scholarly journals Human Cognitive Neuroscience as It Is Taught

2020 ◽  
Vol 11 ◽  
Author(s):  
Olaf Hauk
Keyword(s):  
Data Analysis ◽  
Linear Algebra ◽  
Cognitive Neuroscience ◽  
Signal Analysis ◽  
Online Survey ◽  
Complex Data ◽  
Multiple Choice Questions ◽  
Cognitive Neurosciences ◽  
Neuroimaging Data ◽  
The Difference

Cognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering, and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n = 307) mainly comprised students and post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analyzed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, and Biology), current researcher status (undergraduate student, PhD student, and post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods vs. non-methods (Psychology/Biology) groups was especially striking for questions related to signal analysis and linear algebra, two areas particularly relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programs in cognitive neuroscience institutions. We will provide practical suggestions on how to achieve this.

scholarly journals Is there a problem with methods skills in cognitive neuroscience? Evidence from an online survey

2018 ◽  
Author(s):  
Olaf Hauk
Keyword(s):  
Data Analysis ◽  
Linear Algebra ◽  
Cognitive Neuroscience ◽  
Signal Analysis ◽  
Online Survey ◽  
Complex Data ◽  
Multiple Choice Questions ◽  
Neuroimaging Data ◽  
The Difference ◽  
Training Programmes

AbstractCognitive neuroscience increasingly relies on complex data analysis methods. Researchers in this field come from highly diverse scientific backgrounds, such as psychology, engineering and medicine. This poses challenges with respect to acquisition of appropriate scientific computing and data analysis skills, as well as communication among researchers with different knowledge and skills sets. Are researchers in cognitive neuroscience adequately equipped to address these challenges? Here, we present evidence from an online survey of methods skills. Respondents (n=305) mainly comprised students and post-doctoral researchers working in the cognitive neurosciences. Multiple choice questions addressed a variety of basic and fundamental aspects of neuroimaging data analysis, such as signal analysis, linear algebra, and statistics. We analysed performance with respect to the following factors: undergraduate degree (grouped into Psychology, Methods, Biology), current researcher status (undergraduate student, PhD student, post-doctoral researcher), gender, and self-rated expertise levels. Overall accuracy was 72%. Not surprisingly, the Methods group performed best (87%), followed by Biology (73%) and Psychology (66%). Accuracy increased from undergraduate (59%) to PhD (74%) level, but not from PhD to post-doctoral (74%) level. The difference in performance for the Methods versus non-methods (Psychology/Biology) groups was particularly striking for questions related to signal analysis and linear algebra, two areas especially relevant to neuroimaging research. Self-rated methods expertise was not strongly predictive of performance. The majority of respondents (93%) indicated they would like to receive at least some additional training on the topics covered in this survey. In conclusion, methods skills among junior researchers in cognitive neuroscience can be improved, researchers are aware of this, and there is strong demand for more skills-oriented training opportunities. We hope that this survey will provide an empirical basis for the development of bespoke skills-oriented training programmes in cognitive neuroscience institutions.

scholarly journals Middle East versus Saharan dust extinction-to-backscatter ratios

2015 ◽  
Vol 15 (12) ◽  
pp. 7071-7084 ◽  
Author(s):  
A. Nisantzi ◽  
R. E. Mamouri ◽  
A. Ansmann ◽  
G. L. Schuster ◽  
D. G. Hadjimitsis
Keyword(s):  
Data Analysis ◽  
Middle East ◽  
Saharan Dust ◽  
Complex Data ◽  
Desert Dust ◽  
Analysis Scheme ◽  
Fire Smoke ◽  
Lidar Ratio ◽  
The Difference

Abstract. Four years (2010–2013) of observations with polarization lidar and sun/sky photometer at the combined European Aerosol Research Lidar Network (EARLINET) and Aerosol Robotic Network (AERONET) site of Limassol (34.7° N, 33° E), Cyprus, were used to compare extinction-to-backscatter ratios (lidar ratios) for desert dust from Middle East deserts and the Sahara. In an earlier article, we analyzed one case only and found comparably low lidar ratios < 40 sr for Middle East dust. The complex data analysis scheme is presented. The quality of the retrieval is checked within a case study by comparing the results with respective Raman lidar solutions for particle backscatter, extinction, and lidar ratio. The applied combined lidar/photometer retrievals corroborate recent findings regarding the difference between Middle East and Saharan dust lidar ratios. We found values from 43–65 sr with a mean (±standard deviation) of 53 ± 6 sr for Saharan dust and from 33–48 sr with a mean of 41 ± 4 sr for Middle East dust for the wavelength of 532 nm. The presented data analysis, however, also demonstrates the difficulties in identifying the optical properties of dust even during outbreak situations in the presence of complex aerosol mixtures of desert dust, marine particles, fire smoke, and anthropogenic haze.

scholarly journals Middle East versus Saharan dust extinction-to-backscatter ratios

2015 ◽  
Vol 15 (4) ◽  
pp. 5203-5240 ◽  
Author(s):  
A. Nisantzi ◽  
R. E. Mamouri ◽  
A. Ansmann ◽  
G. L. Schuster ◽  
D. G. Hadjimitsis
Keyword(s):  
Data Analysis ◽  
Middle East ◽  
Mean Value ◽  
Saharan Dust ◽  
Complex Data ◽  
Desert Dust ◽  
Analysis Scheme ◽  
Fire Smoke ◽  
Lidar Ratio ◽  
The Difference

Abstract. Four years (2010–2013) of observations with polarization lidar and sun/sky photometer at the combined European Aerosol Research Lidar Network (EARLINET) and Aerosol Robotic Network (AERONET) site of Limassol (34.7° N, 33° E), Cyprus, were used to compare extinction-to-backscatter ratios (lidar ratios) for desert dust from Middle East deserts and the Sahara. The complex data analysis scheme is presented. The quality of the retrieval is checked within a case study by comparing the results with respective Raman lidar solutions for particle backscatter, extinction, and lidar ratio. The applied combined lidar/photometer retrievals corroborate recent findings regarding the difference between Middle East and Saharan desert dust lidar ratios. We found values from 44–65 sr with a mean value of 52.7 sr for Saharan dust and from 35–46 sr with a mean value of 41.1 sr for Middle East dust. The presented data analysis, however, also demonstrates the difficulties in identifying the optical properties of dust even during outbreak situations in the presence of complex aerosol mixtures of desert dust, marine particles, fire smoke, and anthropogenic haze.

scholarly journals Data management and sharing in neuroimaging: Practices and perceptions of MRI researchers

2018 ◽  
Author(s):  
John A. Borghi ◽  
Ana E. Van Gulick
Keyword(s):  
Data Collection ◽  
Data Management ◽  
Data Storage ◽  
Online Survey ◽  
Ad Hoc ◽  
Open Access Publishing ◽  
Complex Data ◽  
Data Collection And Analysis ◽  
Neuroimaging Data ◽  
Magnetic Resonance Imaging Mri

ABSTRACTNeuroimaging methods such as magnetic resonance imaging (MRI) involve complex data collection and analysis protocols, which necessitate the establishment of good research data management (RDM). Despite efforts within the field to address issues related to rigor and reproducibility, information about the RDM-related practices and perceptions of neuroimaging researchers remains largely anecdotal. To inform such efforts, we conducted an online survey of active MRI researchers that covered a range of RDM-related topics. Survey questions addressed the type(s) of data collected, tools used for data storage, organization, and analysis, and the degree to which practices are defined and standardized within a research group. Our results demonstrate that neuroimaging data is acquired in multifarious forms, transformed and analyzed using a wide variety of software tools, and that RDM practices and perceptions vary considerably both within and between research groups, with trainees reporting less consistency than faculty. Ratings of the maturity of RDM practices from ad-hoc to refined were relatively high during the data collection and analysis phases of a project and significantly lower during the data sharing phase. Perceptions of emerging practices including open access publishing and preregistration were largely positive, but demonstrated little adoption into current practice.

PENGARUH PENERAPAN MEDIA PEMBELAJARAN POP-UP BOOK TERHADAP HASIL BELAJAR SISWA SEKOLAH DASAR

2021 ◽  
Vol 6 (1) ◽  
pp. 34
Author(s):  
Marlina Eliyanti Simbolon ◽  
Yani Fitriyani
Keyword(s):  
Data Analysis ◽  
Student Learning ◽  
Learning Outcomes ◽  
Student Learning Outcomes ◽  
Control Group ◽  
Multiple Choice Questions ◽  
Research Subjects ◽  
Control Group Design ◽  
Quasi Experimental ◽  
The Difference

<p><em>This research is motivated by the low student learning outcomes. The purpose of this study was to determine the differences in post-test results in a class using Pop-up book learning media with a class that did not use Pop-up book learning media and to find out the difference in the improvement of student learning outcomes in science class II SDN 1 Winduhaji. The method used in this research is a quasi-experimental design nonequivalent control group design. The research subjects consisted of two classes, class A consisting of 23 students as the experimental class and class B consisting of 23 students as the control class. The research instrument used a written test in the form of multiple choice questions. Furthermore, analysis of instruments and data analysis is carried out. Data analysis in the control class and experimental class using SPSS version 22 assistance. Data analysis in the experimental class and control class shows that the sig (2-tailed) value is 0.000 &lt;0.05. So the results of the study show that there are posttest differences in student learning outcomes between students who use Pop-up book learning media and students who don't use Pop-up book learning media. Then there is a difference in the increase in student learning outcomes in classes using Pop-up book learning media with an increase in student learning outcomes in classes that do not use Pop-up book learning media. From these data it can be explained that the Pop-up book learning media has a significant effect on student learning outcomes and can be used as an alternative learning media for teachers in improving learning outcomes.</em></p>

PENGARUH TERAPI TERTAWA TERHADAP PENURUNAN TEKANAN DARAH LANSIA DI UPT PANTI WREDHA BUDHI DHARMA YOGYAKARTA

2019 ◽  
Vol 13 (1) ◽  
Author(s):  
Niken Setyaningrum ◽  
Andri Setyorini ◽  
Fachruddin Tri Fitrianta
Keyword(s):  
Blood Pressure ◽  
Data Analysis ◽  
The Elderly ◽  
Control Group ◽  
Group Comparison ◽  
Control Blood Pressure ◽  
Men And Women ◽  
Treatment Of Hypertension ◽  
Before And After ◽  
The Difference

ABSTRACTBackground: Hypertension is one of the most common diseases, because this disease is suffered byboth men and women, as well as adults and young people. Treatment of hypertension does not onlyrely on medications from the doctor or regulate diet alone, but it is also important to make our bodyalways relaxed. Laughter can help to control blood pressure by reducing endocrine stress andcreating a relaxed condition to deal with relaxation.Objective: The general objective of the study was to determine the effect of laughter therapy ondecreasing elderly blood pressure in UPT Panti Wredha Budhi Dharma Yogyakarta.Methods: The design used in this study is a pre-experimental design study with one group pre-posttestresearch design where there is no control group (comparison). The population in this study wereelderly aged over> 60 years at 55 UPT Panti Wredha Budhi Dharma Yogyakarta. The method oftaking in this study uses total sampling. The sample in this study were 55 elderly. Data analysis wasused to determine the difference in blood pressure before and after laughing therapy with a ratio datascale that was using Pairs T-TestResult: There is an effect of laughing therapy on blood pressure in the elderly at UPT Panti WredhaBudhi Dharma Yogyakarta marked with a significant value of 0.000 (P <0.05)

Model of artificial neural network for complex data analysis in slag glass-ceramic

2004 ◽  
Vol 95 (2) ◽  
pp. 97-101 ◽  
Author(s):  
Hongyuan Sun ◽  
Qiye Wen ◽  
Peixin Zhang ◽  
Jianhong Liu ◽  
Qianling Zhang ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Data Analysis ◽  
Glass Ceramic ◽  
Complex Data ◽  
Slag Glass ◽  
Artificial Neural

THE EFFECT OF ONLINE VIDEO BLOG ON STUDENTS’ ACHIEVEMENT OF PASSIVE VOICE IN 4J OPERATION KENDARI

2020 ◽  
Vol 5 (2) ◽  
pp. 125
Author(s):  
Raden Alifian Setiawan ◽  
Hanna Hanna ◽  
Alberth Alberth
Keyword(s):  
Data Analysis ◽  
Real World ◽  
T Test ◽  
Test Design ◽  
Online Video ◽  
Test Results ◽  
Multiple Choice Questions ◽  
Passive Voice ◽  
Paired Sample ◽  
Post Test

The use of videos in education makes it possible to overcome practical real-world constraints and explore far greater possibilities provided by digital spaces, especially for the video uploaded in online platform such as blog. This study examines whether online video blog as media have a significant effect on students’ achievement of passive voice. It used pre-experimental (one group pre-test and post-test) design. The samples of this study were 10 students at 4J Operation. A pre-test and post-test were conducted by using multiple choice questions as the instruments. Data analysis was through paired-sample t-test. Results showed that there was an increase in mean score of pre-test (49,1) and post-test (63,5). Data from Paired Sample t-test showed that Sig. (2-tailed) was 0.000 which was smaller than .05 which means that there was significance difference in mean score after employing treatment.

Perspectives of physicians on medical acupuncture in Lebanon: a preliminary study

2020 ◽  
pp. 096452842096883
Author(s):  
Fadila Bassem Naji ◽  
Kamal Wahab ◽  
Ghassan Hamadeh ◽  
Sani Hlais
Keyword(s):  
Integrative Medicine ◽  
Online Survey ◽  
Response Rate ◽  
Mechanisms Of Action ◽  
Medical Curricula ◽  
Chinese Acupuncture ◽  
The Future ◽  
Preliminary Study ◽  
Medical Acupuncture ◽  
The Difference

Objectives: There are no regulations governing the practice of acupuncture in Lebanon as it is not yet registered as a profession. To our knowledge, no studies have ever been conducted in Lebanon regarding the practice of acupuncture. The purpose of this preliminary study was to explore the knowledge of Lebanese physicians about acupuncture, with the intent of conducting larger scale studies and developing strategies aimed at refining this knowledge in the future, and the ultimate goal of setting guidelines for acupuncture practice in Lebanon. Methods: An online survey looking into physicians’ knowledge of acupuncture, its mechanisms of action, effectiveness, indications and safety, and physicians’ understanding of its concepts, was circulated to 4651 physicians registered in the Lebanese orders of physicians. Results: One hundred forty-nine physicians (3.2%) completed the survey. Most study respondents stated that they were unaware of the difference between traditional Chinese acupuncture (TCA) and Western medical acupuncture (WMA). Overall, 30% of respondents had personally used and/or referred patients for acupuncture. Physicians who had personally tried acupuncture were more likely to refer patients for acupuncture (p < 0.001). Those who know the difference between WMA and TCA were more likely to have tried or referred for acupuncture (p = 0.004). 72% believed that acupuncture and other integrative medicine modules should be introduced in medical curricula in Lebanon. Conclusion: Interest in acupuncture among physicians in Lebanon appears to be limited, based on the low response rate. Among respondents, physicians who had tried or referred patients for acupuncture appeared to be more well informed about different acupuncture styles.

scholarly journals Doing Good Better: Impure Altruism in Green Apparel Advertising

2019 ◽  
Vol 11 (20) ◽  
pp. 5762 ◽  
Author(s):  
So Young Song ◽  
Youn-Kyung Kim
Keyword(s):  
Data Analysis ◽  
Product Quality ◽  
Discrete Model ◽  
Online Survey ◽  
Marketing Strategies ◽  
Theoretical Development ◽  
Sustainable Lifestyle ◽  
Impure Altruism ◽  
Sustainable Behavior ◽  
Communal Harmony

In this study, we identify impure altruism as a duality of altruistic and egoistic warmth. We examine how these feelings motivate consumers to buy green apparel in response to advertisements. We test the effectiveness of the message orientation and its interactivity with a beneficiary and propose modeling impure altruism as the reason why consumers purchase green apparel. The study uses a quasi-experiment to estimate a comparison effect among advertising stimuli. We conduct an online survey among US consumers that garnered 586 responses for the main data analysis. The results indicate that egocentric appeals increase perceived uniqueness and that human beneficiary appeals lead to higher communal harmony. The findings show that communal harmony and global wellbeing prompt altruistic warmth and that uniqueness and product quality encourage egoistic warmth. Notably, altruistic warmth contributes to egoistic warmth, which indicates the existence of impurely altruistic consumers. Both altruistic and egoistic warmth lead to the intention of purchasing green apparel. We recommend “feel-good” marketing strategies to publicize the benefits of a sustainable lifestyle. The study contributes to the theoretical development of sustainability and can serve as an extension of a discrete model of altruism and egoism on consumers’ sustainable behavior.

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