scholarly journals Biotechnology data analysis training with Jupyter Notebooks

2021 ◽  
Author(s):  
Ulf W. Liebal ◽  
Rafael Schimassek ◽  
Iris Broderius ◽  
Nicole Maassen ◽  
Alina Vogelgesang ◽  
...  
Keyword(s):  
Data Analysis ◽  
Recombinant Protein Expression ◽  
Rate Of Change ◽  
Master's Students ◽  
Teaching Methodologies ◽  
Strain Characterization ◽  
Computer Based ◽  
Explanatory Text ◽  
Computational Procedures ◽  
Distance Courses

Biotechnology has experienced innovations in analytics and data processing. As the volume of data and its complexity grows, new computational procedures for extracting information are developed. However, the rate of change outpaces the adaptation of biotechnology curricula, necessitating new teaching methodologies to equip biotechnologists with data analysis abilities. To simulate experimental data, we created a virtual organism simulator (silvio) by combining diverse cellular and sub-cellular microbial models. silvio was utilized to construct a computer-based instructional workflow with important steps during strain characterization and recombinant protein expression. The instructional workflow is provided as a Jupyter Notebook with comprehensive explanatory text of biotechnological facts and experiment simulations using silvio tools. The students conduct data analysis in Python or Excel. This instructional workflow was separately implemented in two distance courses for Master's students in biology and biotechnology. The concept of using virtual organism simulations that generate coherent results across different experiments can be used to construct consistent and motivating case studies for biotechnological data literacy.

Teaching Computer Based Historical Data Analysis

1994 ◽  
Vol 6 (1) ◽  
pp. 52-58 ◽  
Author(s):  
Charles Anderson ◽  
Robert J. Morris
Keyword(s):  
Data Analysis ◽  
Social History ◽  
Historical Data ◽  
Good Practice ◽  
Computer Assisted ◽  
Historical Data Analysis ◽  
University Of Edinburgh ◽  
Computer Based ◽  
The University

A case study ofa third year course in the Department of Economic and Social History in the University of Edinburgh isusedto considerandhighlightaspects of good practice in the teaching of computer-assisted historical data analysis.

scholarly journals Hotspot analysis: a first prototype Python plugin enabling exploratory spatial data analysis into QGIS

2016 ◽  
Author(s):  
Daniele Oxoli ◽  
Mayra A Zurbarán ◽  
Stanly Shaji ◽  
Arun K Muthusamy
Keyword(s):  
Data Analysis ◽  
Spatial Data ◽  
Point Of View ◽  
Geospatial Data ◽  
Spatial Data Analysis ◽  
Exploratory Spatial Data Analysis ◽  
Software Environment ◽  
Hotspot Analysis ◽  
Computational Procedures ◽  
Gis Software

The growing popularity of Free and Open Source (FOSS) GIS software is without doubts due to the possibility to build and customize geospatial applications to meet specific requirements for any users. From this point of view, QGIS is one of the most flexible as well as fashionable GIS software environment which enables users to develop powerful geospatial applications using Python. Exploiting this feature, we present here a first prototype plugin for QGIS dedicated to Hotspot analysis, one of the techniques included in the Exploratory Spatial Data Analysis (ESDA). These statistics aim to perform analysis of geospatial data when spatial autocorrelation is not neglectable and they are available inside different Python libraries, but still not integrated within the QGIS core functionalities. The main plugin features, including installation requirements and computational procedures, are described together with an example of the possible applications of the Hotspot analysis.

The Act of Listening to the Art of Giving Voice: Creative Alternative Practices in Writing About Health in Dance

2005 ◽  
Vol 37 (2) ◽  
pp. 11-24 ◽  
Author(s):  
Sylvie Fortin ◽  
Catherine Cyr ◽  
Martyne Tremblay
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Research Team ◽  
Analysis Program ◽  
Team Members ◽  
Computer Based ◽  
Alternative Practices ◽  
Research Analysis

Our research team members spent an entire summer interviewing pre-professional contemporary dancers with the aim of understanding their conceptions of health in relationship to their creative projects. At the beginning of autumn we (co-workers Martyne, Catherine, and myself) came together in our comfortable office to begin our data analysis. We had previously planned to use a computer-based, qualitative research analysis program to wade through our sizeable volume of data. We were ready to look systematically for themes emerging from our nine hours of interviews. Unexpectedly, however, things turned out differently, and we found ourselves excitedly reliving the interviews we had had with the interviewees. Through the act of listening and formally recording, we had succeeded in giving rich voice to the participants and the touching stories we were sharing anew were as revealing as when we heard them firsthand. Directing the project, I was pleased to notice how the interviews had found echoes in our own experiences; and, in fact, our discussions were being influenced by and filtered through our own subjective perspectives.

Feature Selection for Kick Detection With Machine Learning Using Laboratory Data

2019 ◽  
Author(s):  
Suranga C. H. Geekiyanage ◽  
Adrian Ambrus ◽  
Dan Sui
Keyword(s):  
Machine Learning ◽  
Logistic Regression ◽  
Feature Selection ◽  
Data Analysis ◽  
Laboratory Data ◽  
Surface Flow ◽  
Full Scale ◽  
Rate Of Change ◽  
Laboratory Scale ◽  
Detection Methods

Abstract Conventional kick detection methods mainly include monitoring pit gains, surface flow data (flow in and flow out), surface and down-hole pressure variations, and outputs from physics-based models. Kick detection times depend on a driller’s individual ability to interpret these drilling measurements, symptoms and model predictions. Furthermore, testing a novel data-driven solution in a full-scale operation may induce non-productive time, safety risks and crew fatigue adding to false alarms that inevitably occur during testing. Therefore, the development of better, faster and less human intervention-dependent kick detection on a laboratory scale system is a valuable step before full-scale testing. We have generated a dataset containing seven typical drilling measurements and a sequence of gas kicks from experiments conducted in the laboratory scale. First, we employ data analysis tools following data pre-processing steps, data scaling, outlier detection, and natural feature selection. Next, we consider additional “engineered features” and apply different feature combinations to logistic regression with an ensemble method (boosting) for developing kick detection algorithms. In our data analysis, ‘Delta flow’ (difference between flow in and flow out of the well) and ‘Rate of change of delta flow’ designed features, combined with logistic regression and boosting, give promising results in detecting kicks. Finally, we propose an intelligent algorithm and alarm architecture for a complete kick alarm system, which draws from both data analysis and machine learning models developed in this work.

A computer-based data analysis system for enzyme-linked immunosorbent assays

1983 ◽  
Vol 65 (1-2) ◽  
pp. 83-95 ◽  
Author(s):  
Thomas R. Slezak ◽  
Martin Vanderlaan ◽  
Ronald H. Jensen
Keyword(s):  
Data Analysis ◽  
Computer Based ◽  
Immunosorbent Assays ◽  
Analysis System ◽  
Data Analysis System

scholarly journals Komparasi Waktu Algoritma RSA dengan RSA-CRT Base On Computer

2020 ◽  
Vol 2 (1) ◽  
pp. 13
Author(s):  
Nur Cayo Hendro Wibowo ◽  
Khotibul Umam ◽  
Albadru Muh Izul Khaq ◽  
Favian Agung Rizki
Keyword(s):  
Data Analysis ◽  
Product Development ◽  
Research And Development ◽  
Everyday Life ◽  
Execution Time ◽  
Rsa Algorithm ◽  
Encryption And Decryption ◽  
Long Time ◽  
Computer Based ◽  
Manual Calculation

<p align="center"><em>Cryptography is a branch of mathematics. Asymmetric algorithms such as RSA, including the type of cryptography that is more widely used to be implemented in everyday life because it has an algorithm that is not easy to be misused by others. However, the encryption and decryption process of RSA requires quite a long time. For this reason, RSA - CRT emerged. In this study a time comparison between the RSA algorithm and the RSA-CRT Base On Computer is done. The purpose of this study was to determine the execution time of the RSA-CRT algorithm using PHP.</em></p><p><em>This research uses the Research and Development or R&amp;D method, with the R&amp;D method created by the product development RSA-CRT algorithm application from UIN Walisongo Semarang based on computer. Based on the data analysis, the conclusion is that although the manual calculation of the RSA-CRT algorithm takes longer than the others in this case RSA. But have a faster time when using PHP.</em></p><p align="center"> </p>

scholarly journals English Approximant Consonants: Pronunciation Difficulties Encountered by EFL Students

2021 ◽  
Vol 5 (2) ◽  
pp. 177-182
Author(s):  
Uyunnasirah Hambali ◽  
Ummi Khaerati Syam ◽  
Muhammad Reza
Keyword(s):  
Data Analysis ◽  
Quantitative Research ◽  
Research Data ◽  
Efl Students ◽  
Computational Procedures

This research applied quantitative research. Quantitative is basically framed in term of using numbers, closed-end question. Quantitative research is characterized as an efficient examination of wonders by gathering quantifiable information and performing factual, scientific, or computational procedures. In collecting data, the researcher used pronunciation test as instrument in order to get the data. The items of pronunciation test consisted of a list of 120 words. Each sound consisted of 5 words. Pronunciation test was given to the respondents through asking them to pronounce the words clearly and correctly while the researcher was recorded. The result of the research data showed that the students made 1085 or 93.53% errors of substitution, 38 or 3.28% errors of omission, and 37 or 3.19% errors of addition from the total errors found. It indicated that most of the students made errors in substitution with high percentage than omission and errors of substitution had higher percentage than omission and addition. The result of the data analysis showed that there were 179 or 97.28% errors of substitution, 5 or 2.72% errors of omission, and there were no errors of addition found in pronouncing English approximant consonants. So, from all kinds of errors, most of the students made errors in substitution both fricative and approximant consonants.

scholarly journals Strategi Kepala Sekolah dalam Pelaksanaan Ujian Nasional Berbasis Komputer (UNBK) di Sekolah Menengah Pertama

Al-TA'DIB ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 1
Author(s):  
Nurdin Nurdin ◽  
Laode Anhusadar ◽  
Herlina Herlina ◽  
Sitti Nurhalimah
Keyword(s):  
Data Analysis ◽  
Human Resources ◽  
Information And Communication Technology ◽  
Communication Technology ◽  
Qualitative Case Study ◽  
Junior High Schools ◽  
National Examination ◽  
Information And Communication ◽  
Computer Based

This qualitative case study aims to review and analyze the condition of the information and communication technology (ICT) facilities for the implementation of the computer-based national examination (UNBK), the principal's strategies in implementing UNBK, and the obstacles in implementing UNBK at one of junior high schools in Kota Kendari, Southeast Sulawesi, Indonesia. Data were collected by interview, observation and documentation. The result of data analysis revealed the lack of facilities for the implementation of UNBK in the school. The principal's strategies in implementing UNBK in the school cover various aspects, such as facilities and infrastructure, human resources, and pupil affairs. Two obstacles emerged i.e., technical and non-technical.

scholarly journals The Effects of a Creativity Training Program on Students’ Initial Perceptions of Creativity: The Case Study of Mohamed First University, Morocco

2018 ◽  
Author(s):  
Arab World English Journal ◽  
Mohamed DIHI ◽  
Abderrahmane BOUAMRI
Keyword(s):  
Data Analysis ◽  
Training Program ◽  
Qualitative Data ◽  
Traditional Teaching ◽  
Conventional Instruction ◽  
Master's Students ◽  
Creativity Training ◽  
Positive Attitudes ◽  
Perceptions And Attitudes

Incorporating creativity in education is widely accepted to be a necessity in today's rapidly changing world. However, in the case of Moroccan educational settings, it is noticed that schools continue to be characterized by traditional and conventional instruction. It is true that some students excel in traditional teaching delivery; however, creative learners are neglected and at risk of being rejected. Understanding the nature of creativity and putting it into action are of paramount importance for students to pursue creative opportunities in their own life. This study aims at (1) assessing 22 Moroccan Master’s students’ general perceptions and attitudes towards creativity; (2) improving students’ creativity by introducing them to a list of creativity techniques; (3) evaluating how effectively the proposed creativity training workshops have influenced students’ initial views of creativity. The study used questionnaire inquiry data analysis to collect both quantitative and qualitative data. The findings reveal that students hold positive attitudes towards creativity in education. More importantly, the study shows how the proposed creativity training workshops have positively affected students’ initial perceptions and attitudes towards creativity.

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