scholarly journals Whole-Range Assessment: A Simple Method for Analysing Allelopathic Dose-Response Data

2005 ◽  
Vol 3 (2) ◽  
pp. nonlin.003.02.0 ◽  
Author(s):  
Min An ◽  
J. E. Pratley ◽  
T. Haig ◽  
D.L. Liu
Keyword(s):  
Multiple Comparisons ◽  
Data Interpretation ◽  
Simple Method ◽  
Response Data ◽  
Research Outcomes ◽  
Biological Responses ◽  
Data Grouping ◽  
Response Profiles ◽  
Using Data ◽  
Inhibition Index

Based on the typical biological responses of an organism to allelochemicals (hormesis), concepts of whole-range assessment and inhibition index were developed for improved analysis of allelopathic data. Examples of their application are presented using data drawn from the literature. The method is concise and comprehensive, and makes data grouping and multiple comparisons simple, logical, and possible. It improves data interpretation, enhances research outcomes, and is a statistically efficient summary of the plant response profiles.

scholarly journals A simple new method for identifying performance characteristics associated with success in elite tennis

2018 ◽  
Vol 14 (1) ◽  
pp. 43-50 ◽  
Author(s):  
Anna Fitzpatrick ◽  
Joseph A Stone ◽  
Simon Choppin ◽  
John Kelley
Keyword(s):  
Performance Analysis ◽  
Statistical Methods ◽  
Rank Order ◽  
Large Datasets ◽  
Performance Characteristics ◽  
New Method ◽  
Considerable Time ◽  
Simple Method ◽  
Suitable Alternative ◽  
Using Data

Performance analysis and identifying performance characteristics associated with success are of great importance to players and coaches in any sport. However, while large amounts of data are available within elite tennis, very few players employ an analyst or attempt to exploit the data to enhance their performance; this is partly attributable to the considerable time and complex techniques required to interpret these large datasets. Using data from the 2016 and 2017 French Open tournaments, we tested the agreement between the results of a simple new method for identifying important performance characteristics (the Percentage of matches in which the Winner Outscored the Loser, PWOL) and the results of two standard statistical methods to establish the validity of the simple method. Spearman’s rank-order correlations between the results of the three methods demonstrated excellent agreement, with all methods identifying the same three performance characteristics ( points won of 0–4 rally length, baseline points won and first serve points won) as strongly associated with success. Consequently, we propose that the PWOL method is valid for identifying performance characteristics associated with success in tennis, and is therefore a suitable alternative to more complex statistical methods, as it is simpler to calculate, interpret and contextualise.

scholarly journals An estimation of snow accumulation on Svalbard glaciers on the basis of standard weather-station observations

2005 ◽  
Vol 42 ◽  
pp. 269-276 ◽  
Author(s):  
Mariusz Grabiec
Keyword(s):  
Winter Precipitation ◽  
Snow Accumulation ◽  
Average Error ◽  
Weather Station ◽  
Simple Method ◽  
Factors Influencing ◽  
Different Types ◽  
Relevant Point ◽  
The Mean ◽  
Using Data

AbstractWinter precipitation in the form of snow is the major factor determining accumulation on Arctic glaciers. In this paper, I present a simple method to assess snow accumulation on the glaciers of Svalbard. I deduce snow accumulation from the sum of winter precipitation and the fraction of precipitation of different types at a reference weather station. The accumulation is then converted to a relevant point on the glacier, using an accumulation gradient and a location coefficient. I apply this algorithm of accumulation assessment to eight glaciers of southern and central Spitsbergen using data from 23 seasons. On the basis of measured accumulation data, the mean error of the calculated accumulation, with no distinction of precipitation types, amounted to 23%. When the distinction between precipitation types is used for glaciers of southern Spitsbergen, the average error of estimation was 19%. Errors result from factors influencing accumulation distribution over the glacier elevation profile (e.g. glacier topography, orography of its surroundings, precipitation inversion). Application of this accumulation algorithm may provide a crucial method of estimating mass balance for glaciers not included in permanent monitoring.

scholarly journals A new, simple method of describing the COVID-19 trajectory and dynamics in any country based on Johnson Cumulative Distribution Function fitting.

2020 ◽  
Author(s):  
Adam M Cmiel ◽  
Bogdan Cmiel
Keyword(s):  
Population Density ◽  
Distribution Functions ◽  
Cumulative Distribution ◽  
Gdp Per Capita ◽  
Simple Method ◽  
Wave Dynamics ◽  
Infection Dynamics ◽  
Basic Parameters ◽  
Per Capita ◽  
Using Data

A simple method is described to study and compare COVID-19 infection dynamics between countries, based on curve fitting to publicly shared data of confirmed COVID-19 infections in them. The method was tested using data from 80 countries in 6 regions. We found that Johnson Cumulative Distribution Functions (CDF) were extremely well fitted to the data (R2>0.99) and that Johnson CDFs were much better fitted to the data at their tails than either the commonly used Normal or Lognormal CDFs. Fitted Johnson CDFs can be used to obtain basic parameters of the infection wave, such as the percentage of the population infected during an infection wave, the days of the start, peak and end of the infection wave, as well as the durations of the infection wave of the wave's increase and decrease. These parameters can be easily interpreted biologically and used both for describing the infection wave dynamics and in further statistical analysis. The usefulness of the parameters obtained was analysed with respect to the relation between the Gross Domestic Product (GDP) per capita and the population density, and the percentage of the population infected during an infection wave, the starting day and the duration of the infection wave in the 80 countries. We found that all the above parameters were significantly dependent on the GDP per capita, but only the percentage of the population infected was significantly dependent on the population density in these countries. If used with caution, this method has a limited ability to predict the future trajectory and parameters of an ongoing infection wave.

scholarly journals DoOR 2.0 - Comprehensive Mapping ofDrosophila melanogasterOdorant Responses

2015 ◽  
Author(s):  
Daniel Muench ◽  
C. Giovanni Galizia
Keyword(s):  
Open Source ◽  
Sensory Neurons ◽  
Response Spectrum ◽  
Odorant Receptors ◽  
Response Matrix ◽  
Web Interface ◽  
Response Data ◽  
Data Points ◽  
Response Profiles ◽  
Comprehensive Mapping

Odors elicit complex patterns of activated olfactory sensory neurons. Knowing the complete olfactome, i.e. responses in all sensory neurons for all odorants, is desirable to understand olfactory coding. The DoOR project combines all availableDrosophilaodorant response data into a single consensus response matrix. Since its first release many studies were published: receptors were deorphanized and several response profiles were expanded. In this study, we add to the odor-response profiles for four odorant receptors (Or10a, Or42b, Or47b, Or56a). We deorphanize Or69a, showing a broad response spectrum with the best ligands including 3-hydroxyhexanoate, alpha-terpineol, 3-octanol and linalool. We include these datasets into DoOR, and provide a comprehensive update of both code and data. The DoOR project has a web interface for quick queries (http://neuro.uni.kn/DoOR), and a downloadable, open source toolbox written in R, including all processed and original datasets. DoOR now gives reliable odorant-responses for nearly allDrosophilaolfactory responding units, listing 693 odorants, for a total of 7381 data points.

scholarly journals Pola Pikir Perempuan dalam 5 Lagu Campursari Populer Tahun 2019-Awal 2020 Kajian Dekonstruksi

2021 ◽  
Vol 2 (2) ◽  
pp. 50-62
Author(s):  
Muhamad Rizkiyono Fadilah ◽  
Yuli Kurniati Werdiningsih ◽  
Bambang Sulanjari
Keyword(s):  
Qualitative Research ◽  
Data Reduction ◽  
Data Interpretation ◽  
Family Values ◽  
Self Control ◽  
Data Verification ◽  
Reduction Techniques ◽  
Data Source ◽  
Using Data ◽  
Descriptive Qualitative

The purpose of this study was to determine the mindset of women in Campursari songs using a deconstruction study. The formulation of the problem in this study is how the mindset of women in Campursari songs using deconstruction studies. This research is included in descriptive qualitative research, because the analysis in this study is a description. The data source used is the text of the Campursari song entitled Balungan Kere, Cidro, Penak Kanca, Kartonyono Medot Janji, and Pamer Bojo. The method used in this research is writing, recording, grouping the data, then the data that has been collected is analyzed using data reduction techniques, data interpretation, and data verification. The result of this research is that there is a deconstruction of the opinion / discourse about Javanese women in Serat Wulang Putri above, it can be concluded that Javanese women are very synonymous with Javanese culture such as speaking soft words, being calm, silent (calm), disliking conflict, emphasizing harmony, uphold family values, able to understand and understand others, polite, high self-control, endurance to suffer high, play a role economically and faithfully. Javanese women are women who really uphold Javanese culture. Some other characteristics of Javanese people are patience and neriman (patience and acceptance with grace).

scholarly journals Food-Away-from-Home Expenditure in Mexico during the COVID-19 Pandemic: A Micro-Econometric Analysis

2021 ◽  
Author(s):  
Antonio Aguilar-Lopez ◽  
Aleš Kuhar
Keyword(s):  
Food Insecurity ◽  
Functional Form ◽  
Step Method ◽  
Budget Share ◽  
Food Away From Home ◽  
Response Data ◽  
Using Data ◽  
Censored Response ◽  
The Impact ◽  
The Relationship

The propagation of the coronavirus disease 2019 (COVID-19) reshaped the relationship between income and food-away-from-home (FAFH) expenditure in Mexico during 2020. Although the number of households participating in this market fell across income deciles and regions due to the pandemic, the impact on their budget shares is not uniform. Using data from the Encuesta Nacional de Ingresos y Gastos de los Hogares (ENIGH) 2020, we estimated an Engel curve of the Working-Lesser functional form for FAFH. Among the independent variables are the number of family members 65 years of age and older, and dummies to indicate whether the household experienced food insecurity or received remittances. The estimation was carried out following the Heckman two-step method, suitable for censored-response data. The results suggest that the budget share for FAFH drops as income increases. The number of older adults and food insecurity discourage the decision to participate in FAFH expenditure and increase its budget share, whereas remittances encourage participation and reduce its budget share. The corrected conditional elasticity is 0.4609; the sign and the magnitude indicate that FAFH is a necessity good.

Cognitive Social Mining Analysis Using Data Mining Techniques

2019 ◽  
pp. 99-117 ◽  
Author(s):  
Dharmpal Singh
Keyword(s):  
Data Mining ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Statistical Modelling ◽  
Data Interpretation ◽  
Computer Mediated ◽  
The Social ◽  
Using Data ◽  
Collaborative Activities

Social media are based on computer-mediated technologies that smooth the progress of the creation and distribution of information, thoughts, idea, career benefits and other forms of expression via implicit communities and networks. The social network analysis (SNA) has emerged with the increasing popularity of social networking services like Facebook, Twitter, etc. Therefore, information about group cohesion, contribution in activities, and associations among subjects can be obtained from the analysis of the blogs. The analysis of the blogs required well-known knowledge discovery tools to help the administrator to discover participant collaborative activities or patterns with inferences to improve the learning and sharing process. Therefore, the goal of this chapter is to provide the data mining tools for information retrieval, statistical modelling and machine learning to employ data pre-processing, data analysis, and data interpretation processes to support the use of social network analysis (SNA) to improve the collaborative activities for better performance.

scholarly journals Rethinking Exams and Letter Grades: How Much Can Teachers Delegate to Students?

2006 ◽  
Vol 5 (3) ◽  
pp. 270-280 ◽  
Author(s):  
Elizabeth Kitchen ◽  
Summer H. King ◽  
Diane F. Robison ◽  
Richard R. Sudweeks ◽  
William S. Bradshaw ◽  
...  
Keyword(s):  
Student Performance ◽  
Performance Feedback ◽  
Cell Biology ◽  
Scientific Reasoning ◽  
Data Interpretation ◽  
Final Exam ◽  
Letter Grades ◽  
Design Changes ◽  
Using Data ◽  
The Impact

In this article we report a 3-yr study of a large-enrollment Cell Biology course focused on developing student skill in scientific reasoning and data interpretation. Specifically, the study tested the hypothesis that converting the role of exams from summative grading devices to formative tools would increase student success in acquiring those skills. Traditional midterm examinations were replaced by weekly assessments administered under test-like conditions and followed immediately by extensive self, peer, and instructor feedback. Course grades were criterion based and derived using data from the final exam. To alleviate anxiety associated with a single grading instrument, students were given the option of informing the grading process with evidence from weekly assessments. A comparative analysis was conducted to determine the impact of these design changes on both performance and measures of student affect. Results at the end of each year were used to inform modifications to the course in subsequent years. Significant improvements in student performance and attitudes were observed as refinements were implemented. The findings from this study emphasized the importance of prolonging student opportunity and motivation to improve by delaying grade decisions, providing frequent and immediate performance feedback, and designing that feedback to be maximally formative and minimally punitive.

Field survey of pollutants discharged from different types of residential area in the Yamuna River Basin, India

2011 ◽  
Vol 64 (11) ◽  
pp. 2207-2216
Author(s):  
A. Miyamoto ◽  
K. Sakurai ◽  
R. Hiraide ◽  
M. Minamiyama ◽  
O. Fujiki
Keyword(s):  
Field Survey ◽  
Runoff Coefficient ◽  
Ganges River ◽  
Yamuna River ◽  
Simple Method ◽  
Pollutant Load ◽  
Major Tributary ◽  
Different Types ◽  
Using Data ◽  
The Ganges

The Ganges River, one of the most heavily populated and urbanized river basins in Asia, is polluted by increasing wastewater influent and water-borne diseases are caused in the metropolitan area. This study focused on the Yamuna River, a major tributary of the Ganges. We determined the pollutant load per unit of urban area classified by the income of the residents to help design an appropriate sewerage system. In addition, a simple method of estimating runoff pollutant load was examined using data on pollutant load per unit and runoff coefficient.

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