- Elements of good writing include being clear, concise, using plain English and everyday words, and having good grammar. Effective communication requires these elements as well as short, concise sentences.
- With increasing international collaboration, language in scientific writing is becoming more standardized to aid comprehension for diverse global audiences. Some ways to improve clarity include avoiding wordiness, redundancies, ambiguous phrasing, and properly formatting numbers, units, and references to figures/tables. Careful use of grammar like subject-verb agreement also aids readability.
Pin On Sample Sop For Masters In Engineering MaCarla Potier
The document discusses steps for requesting writing assistance from HelpWriting.net. It outlines the registration process, how to submit a request including instructions and deadlines, and how writers bid on requests. It notes the platform uses a bidding system and clients can choose a writer based on qualifications, history, and feedback. It states clients can request revisions to ensure satisfaction, and the company guarantees original, high-quality content or a full refund.
Computational Reproducibility vs. Transparency: Is It FAIR Enough?Bertram Ludäscher
Keynote at CLIR Workshop (Webinar): Torward Open, Reproducible, and Reusable Research. February 10, 2021. https://reusableresearch.com/
ABSTRACT. The “reproducibility crisis” has resulted in much interest in methods and tools to improve computational reproducibility. FAIR data principles (data should be findable, accessible, interoperable, and reusable) are also being adapted and evolved to apply to other artifacts, notably computational analyses (scientific workflows, Jupyter notebooks, etc.). The current focus on computational reproducibility of scripts and other computational workflows sometimes overshadows a somewhat neglected and arguably more important issue: transparency of data analysis, including data wrangling and cleaning. In this talk I will ask the question: What information is gained by conducting a reproducibility experiment? This leads to a simple model (PRIMAD) that aims to answer this question by sorting out different scenarios. Finally, I will present some features of Whole-Tale, a computational platform for reproducible and transparent computational experiments.
Reproducibility by Other Means: Transparent Research ObjectsTimothy McPhillips
This document discusses issues around reproducibility in research and proposes modeling reproducibility as multidimensional to help address terminology conflicts. It argues that reproducibility includes dimensions like experiment replicability, code re-executability, and findings reproducibility. Mapping definitions to shared dimensions and allowing claims using different terminologies could help resolve issues. Research Objects that attach reproducibility claims to artifacts and support queries in different terminologies may improve transparency without requiring exact repetition.
This document discusses constructing confidence intervals for estimating population proportions from sample data. It provides three examples of confidence intervals reported in media sources and explains how a 95% confidence interval for a proportion is calculated. The interval is formed by taking the sample proportion plus or minus two standard deviations, where the standard deviation formula substitutes the sample proportion for the unknown true population proportion. The confidence interval estimates a range of values that has a 95% chance of containing the actual population proportion.
This document discusses analyzing large sequencing datasets and summarizing metagenomic communities. It describes benchmarking different assembly methods on a mock community dataset. Digital normalization and partitioning treatments were found to save computational time without altering assembly results. Approximately 90% of genomes were recovered, with few misassemblies. Deeper sequencing is needed to fully reconstruct communities, with petabasepair sampling required. Computational resources must scale to analyze the large volumes of data that will be generated from deeper metagenomic surveys.
The document discusses various sampling methods and concepts in research methodology. It defines key terms like population, sample, sampling frame, probability sampling, and non-probability sampling. It then explains different probability sampling techniques like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multistage sampling. It also discusses non-probability sampling methods and compares the advantages and disadvantages of different approaches. The document emphasizes the importance of representative sampling.
2. This exercise uses the dataset WholeFoods.” (a) Use Excel to.docxeugeniadean34240
2. This exercise uses the dataset “WholeFoods.”
(a) Use Excel to construct a relative histogram for store size. Does the distribution of store size appear to be skewed? If so, does it appear to be skewed to the right or to the left? Explain.
(b) Use Excel to calculate the following four measures of central tendency for store size: mean, median, midrange, and 5% trimmed mean (using the trimmed mean definition from the textbook). Do any of these measures of central tendency appear to not be appropriate for this particular dataset? Explain.
(c) Use Excel to calculate the following four measures of dispersion for store size: variance, standard deviation, mean absolute deviation, and coefficient of variation. Please provide brief and “to-the-point” comments on your results.
(d) According to Chebyshev’s Theorem, at least what percentage of the observations within a sample is supposed to lie within 1.5 sample standard deviations of the sample mean? Next, using Excel, please take the observations for store size in the Whole Foods dataset and confirm that this prediction holds within the Whole Foods sample dataset.
(e) Use Excel to calculate the first quartile, the third quartile, the midhinge, and interquartile range for store size. Next, use Excel to create a box plot graph for store size. (Note: Excel does not have a built-in function for creating a box plot. Your group will need to “figure out” how to do it. For example, the internet has many examples of how to create a box plot in Excel using column/bar charts. You may do either a “horizontal” box plot (i.e., a box plot with the “whiskers” pointing to the right and to the left) or a “vertical” box plot (i.e., a box plot with the “whiskers” pointing to the top and to the bottom).)
(f) Use Excel to calculate both inner fences (left and right) for store size, and then both outer fences (left and right) for store size. Based on these calculated values, are there any “outlier” stores in the data? Any “extreme outlier” stores in the data? If so, which stores are they? (Note: In answering this question, please use the definition of “outlier” and “extreme outlier” provided on page 144 of the textbook; please do not use the definition of “outlier” provided on pages 135-137 of the textbook.) (g) Use Excel to calculate skewness for the variable store size. Is store size skewed right or left? Does your answer corroborate the answer you provided in part 2(a) above?
18 Chapter 1 Exploring Life and Science
• reproduce; and experience growth, and in many cases
development;
• maintain homeostasis to maintain the conditions of an internal
environment;
• respond to stimuli; and
• have an evolutionary history and are adapted to a way oflife.
1.2 Humans Are Related to Other Animals
The classification ofliving organisms mirrors their evolutionary
relationships. Humans are mammals, a type of vertebrate in the
animal kingdom ofthe domain Eukarya. Humans differ from other
mammals, including apes, .
This document discusses concepts and tools for exploring large sequencing datasets. It begins by providing background on building tools to analyze large sequencing datasets and enabling scientists to quickly generate hypotheses from data. The document then outlines goals of enabling hypothesis-driven biology through better hypothesis generation and refinement, and making sequence analysis less valuable and putting the author out of a job. It presents a narrative arc that discusses reconstructing community genomes from shotgun metagenomics, underlying enabling approaches and tools, and a plan for positive global influence through technology and training.
Pin On Sample Sop For Masters In Engineering MaCarla Potier
The document discusses steps for requesting writing assistance from HelpWriting.net. It outlines the registration process, how to submit a request including instructions and deadlines, and how writers bid on requests. It notes the platform uses a bidding system and clients can choose a writer based on qualifications, history, and feedback. It states clients can request revisions to ensure satisfaction, and the company guarantees original, high-quality content or a full refund.
Computational Reproducibility vs. Transparency: Is It FAIR Enough?Bertram Ludäscher
Keynote at CLIR Workshop (Webinar): Torward Open, Reproducible, and Reusable Research. February 10, 2021. https://reusableresearch.com/
ABSTRACT. The “reproducibility crisis” has resulted in much interest in methods and tools to improve computational reproducibility. FAIR data principles (data should be findable, accessible, interoperable, and reusable) are also being adapted and evolved to apply to other artifacts, notably computational analyses (scientific workflows, Jupyter notebooks, etc.). The current focus on computational reproducibility of scripts and other computational workflows sometimes overshadows a somewhat neglected and arguably more important issue: transparency of data analysis, including data wrangling and cleaning. In this talk I will ask the question: What information is gained by conducting a reproducibility experiment? This leads to a simple model (PRIMAD) that aims to answer this question by sorting out different scenarios. Finally, I will present some features of Whole-Tale, a computational platform for reproducible and transparent computational experiments.
Reproducibility by Other Means: Transparent Research ObjectsTimothy McPhillips
This document discusses issues around reproducibility in research and proposes modeling reproducibility as multidimensional to help address terminology conflicts. It argues that reproducibility includes dimensions like experiment replicability, code re-executability, and findings reproducibility. Mapping definitions to shared dimensions and allowing claims using different terminologies could help resolve issues. Research Objects that attach reproducibility claims to artifacts and support queries in different terminologies may improve transparency without requiring exact repetition.
This document discusses constructing confidence intervals for estimating population proportions from sample data. It provides three examples of confidence intervals reported in media sources and explains how a 95% confidence interval for a proportion is calculated. The interval is formed by taking the sample proportion plus or minus two standard deviations, where the standard deviation formula substitutes the sample proportion for the unknown true population proportion. The confidence interval estimates a range of values that has a 95% chance of containing the actual population proportion.
This document discusses analyzing large sequencing datasets and summarizing metagenomic communities. It describes benchmarking different assembly methods on a mock community dataset. Digital normalization and partitioning treatments were found to save computational time without altering assembly results. Approximately 90% of genomes were recovered, with few misassemblies. Deeper sequencing is needed to fully reconstruct communities, with petabasepair sampling required. Computational resources must scale to analyze the large volumes of data that will be generated from deeper metagenomic surveys.
The document discusses various sampling methods and concepts in research methodology. It defines key terms like population, sample, sampling frame, probability sampling, and non-probability sampling. It then explains different probability sampling techniques like simple random sampling, systematic sampling, stratified sampling, cluster sampling, and multistage sampling. It also discusses non-probability sampling methods and compares the advantages and disadvantages of different approaches. The document emphasizes the importance of representative sampling.
2. This exercise uses the dataset WholeFoods.” (a) Use Excel to.docxeugeniadean34240
2. This exercise uses the dataset “WholeFoods.”
(a) Use Excel to construct a relative histogram for store size. Does the distribution of store size appear to be skewed? If so, does it appear to be skewed to the right or to the left? Explain.
(b) Use Excel to calculate the following four measures of central tendency for store size: mean, median, midrange, and 5% trimmed mean (using the trimmed mean definition from the textbook). Do any of these measures of central tendency appear to not be appropriate for this particular dataset? Explain.
(c) Use Excel to calculate the following four measures of dispersion for store size: variance, standard deviation, mean absolute deviation, and coefficient of variation. Please provide brief and “to-the-point” comments on your results.
(d) According to Chebyshev’s Theorem, at least what percentage of the observations within a sample is supposed to lie within 1.5 sample standard deviations of the sample mean? Next, using Excel, please take the observations for store size in the Whole Foods dataset and confirm that this prediction holds within the Whole Foods sample dataset.
(e) Use Excel to calculate the first quartile, the third quartile, the midhinge, and interquartile range for store size. Next, use Excel to create a box plot graph for store size. (Note: Excel does not have a built-in function for creating a box plot. Your group will need to “figure out” how to do it. For example, the internet has many examples of how to create a box plot in Excel using column/bar charts. You may do either a “horizontal” box plot (i.e., a box plot with the “whiskers” pointing to the right and to the left) or a “vertical” box plot (i.e., a box plot with the “whiskers” pointing to the top and to the bottom).)
(f) Use Excel to calculate both inner fences (left and right) for store size, and then both outer fences (left and right) for store size. Based on these calculated values, are there any “outlier” stores in the data? Any “extreme outlier” stores in the data? If so, which stores are they? (Note: In answering this question, please use the definition of “outlier” and “extreme outlier” provided on page 144 of the textbook; please do not use the definition of “outlier” provided on pages 135-137 of the textbook.) (g) Use Excel to calculate skewness for the variable store size. Is store size skewed right or left? Does your answer corroborate the answer you provided in part 2(a) above?
18 Chapter 1 Exploring Life and Science
• reproduce; and experience growth, and in many cases
development;
• maintain homeostasis to maintain the conditions of an internal
environment;
• respond to stimuli; and
• have an evolutionary history and are adapted to a way oflife.
1.2 Humans Are Related to Other Animals
The classification ofliving organisms mirrors their evolutionary
relationships. Humans are mammals, a type of vertebrate in the
animal kingdom ofthe domain Eukarya. Humans differ from other
mammals, including apes, .
This document discusses concepts and tools for exploring large sequencing datasets. It begins by providing background on building tools to analyze large sequencing datasets and enabling scientists to quickly generate hypotheses from data. The document then outlines goals of enabling hypothesis-driven biology through better hypothesis generation and refinement, and making sequence analysis less valuable and putting the author out of a job. It presents a narrative arc that discusses reconstructing community genomes from shotgun metagenomics, underlying enabling approaches and tools, and a plan for positive global influence through technology and training.
The document discusses different types of research including descriptive research, exploratory research, quantitative research, and qualitative research. Descriptive research involves collecting quantitative or qualitative data to describe categories of information. Exploratory research examines a subject to gain further insight and identify issues for future research without seeking definitive answers. Quantitative research relies on quantitative data and statistics while qualitative research relies on qualitative data like interviews and observations to understand concepts, beliefs, and experiences. Examples of different types of research studies are provided.
Making your science powerful : an introduction to NGS experimental designjelena121
A basic overview of considerations for designing genomics experiments using Next Generation Sequencing (NGS). Includes a discussion of power, accuracy, what samples to collect, and what sequencing parameters to use.
Chapter 9 sampling and statistical toolMaria Theresa
This document discusses sampling techniques used in research. It defines sampling as selecting a representative portion of a population to represent the whole. It identifies key sampling terms and discusses factors to consider such as sample size, margin of error, and sampling error. The document also describes different sampling techniques including probability sampling methods like simple random sampling, systematic sampling, and stratified random sampling as well as non-probability sampling techniques. Guidelines for determining minimum sample sizes for different study types are also provided.
[David a. coley]_an_introduction_to_genetic_algori(book_fi.org)swapnatoya
This document provides an introduction to genetic algorithms. It begins with a brief overview of genetic algorithms and some of their applications, such as image processing, protein structure prediction, chip layout design, and analysis of time series data. The rest of the document covers the typical components of a genetic algorithm, including an initial population of solutions, a fitness function, operators to combine solutions and introduce mutations, and iteration of these steps over generations. Code implementations and further resources are also discussed.
This document introduces a handbook of biological statistics. It provides an overview of the goals and contents of the handbook, which is designed to teach biology students how to choose and apply appropriate statistical tests to analyze biological experiments. It describes the layout and navigation of the handbook, and how it includes spreadsheets to perform statistical tests as well as instructions for other programs like SAS. It also covers information about citing the handbook and suggestions for further reading on statistics.
This document summarizes a simulation analysis comparing the use of S1 families and doubled haploid (DH) lines in a wheat breeding program. The simulation examined different genetic models, including additive effects and genotype-by-environment interactions. It found that using 250 or more DH lines provided higher response to selection than 1000 S1 families, even with genetic complexity from interactions. Selection of fewer families increased short-term response but risked losing favorable genes through drift in the long run. The study suggests DH lines could feasibly replace S1 families to increase genetic gain in the breeding program.
Designing your evaluations is one of the most important aspects of any user experience process. If these evaluations are designed badly you will not be able to apply the correct analysis, and if you cannot apply the correct analysis you will not be able to make any conclusions as to the applicability or success of your interventions at the interface or interactive level. In reality this means that if this is not done correctly the previous ≈215 pages of this book have been, to a large extent, pointless.
This document discusses various sampling methods and concepts. It begins by defining a sample as a smaller collection of units from a population used to determine truths about that population. Key reasons for sampling include conserving resources and achieving results with a known level of accuracy. The document then covers probability and non-probability sampling methods. It discusses simple random sampling, stratified sampling, cluster sampling, multistage sampling, and other approaches. It also addresses important sampling concepts like populations, frames, and representativeness.
Towards Understanding SE Experiments Replication (ESEM'13 Keynote)Natalia Juristo
To consolidate a body of knowledge built upon evidence, experimental results have to be extensively verified. Experiments need replication at other times and under other conditions before they can produce an established piece of knowledge. Several replications need to be run to strengthen the evidence.
Most SE experiments have not been replicated. If an experiment is not replicated, there is no way to distinguish whether results were produced by chance (the observed event occurred accidentally), results are artifactual (the event occurred because of the experimental configuration but does not exist in reality) or results conform to a pattern existing in reality.
The immaturity of experimental SE knowledge has been an obstacle to replication. Context differences usually oblige SE experimenters to adapt experiments for replication. As key experimental conditions are yet unknown, slight changes in replications have led to differences in the results that prevent verification.
There are still many uncertainties about how to proceed with replications of SE experiments. Should replicators reuse the baseline experiment materials? How much liaison should there be among the original and replicating experimenters, if any? What elements of the experimental configuration can be changed for the experiment to be considered a replication rather than a new experiment?
The aim of replication is to verify results, but different types of replication serve special verification purposes and afford different degrees of change. Each replication type helps to discover particular experimental conditions that might influence the results. We need to learn which types of replications are feasible in SE as well as the acceptable changes for each type and the level of verification provided.
How long should Offspring Lifespan be in order to obtain a proper exploration?Mario Pavone
The time an offspring should live and remain into
the population in order to evolve and mature is a crucial factor
of the performance of population-based algorithms both in the
search for global optima, and in escaping from the local optima.
Offsprings lifespan influences a correct exploration of the search
space, and a fruitful exploiting of the knowledge learned. In
this research work we present an experimental study on an
immunological-inspired heuristic, called OPT-IA, with the aim
to understand how long must the lifespan of each clone be
to properly explore the solution space. Eleven different types
of age assignment have been considered and studied, for an
overall of 924 experiments, with the main goal to determine
the best one, as well as an efficiency ranking among all the
age assignments. This research work represents a first step
towards the verification if the top 4 age assignments in the
obtained ranking are still valid and suitable on other discrete
and continuous domains, i.e. they continue to be the top 4 even
if in different order.
This document introduces the Handbook of Biological Statistics, an online textbook for teaching biology students to choose and apply appropriate statistical tests. It provides spreadsheets to perform statistical tests with sample data already entered. The handbook covers statistical tests in a less technical way than traditional textbooks, focusing on statistics as a useful tool rather than the mathematical basis. It summarizes the steps for analyzing biological data and defines different types of variables.
Using Semantics of Textbook Highlights to Predict Student Comprehension and K...Sergey Sosnovsky
The document presents a framework for using the semantics of student textbook highlights to predict comprehension and knowledge retention. It uses semantic embeddings to encode highlighted sentences, compares them to questions, and uses the match scores in a model. It finds that augmenting a baseline model with highlighting features improves predictions of question accuracy, especially for held-out students. A semantic encoding of highlights performed better than a positional encoding. The approach works well across different levels of conceptual difficulty as defined by Bloom's taxonomy.
Hypothesis Testing and Experimental design.pptxAbile2
The document discusses hypothesis testing and experimental design. It explains that hypothesis testing involves designing a method to collect data to evaluate and accept or reject a hypothesis. Experimental design aims to minimize sources of variability except the treatment being tested. Key aspects of experimental design discussed include sample size, replication, controls, randomization, and interspersion of treatments. Different types of experimental designs are also outlined, including completely randomized designs, randomized complete block designs, and factorial designs.
The independent variable was the description of the instructor as either "warm" or "cold". The dependent variable was the rating subjects gave the instructor after the lecture. The experiment had a control (some subjects read the "warm" description) and experimental group (some subjects read the "cold" description). Only one variable (the description of the instructor) was tested between the two groups.
A case study that explains how quality of data is much better in case of online surveys, with guidelines on how sampling and non-sampling errors are eliminated.
This document discusses three possible strategies for identifying biological knowledge from scientific literature: 1) Allowing authors to validate biological entities during the writing process, 2) Performing discourse analysis to understand persuasive elements and relationships between ideas, and 3) Encouraging collaboration between authors and databases to identify hypotheses. It focuses on the challenges of current fact extraction techniques and the potential for modeling discourse and rhetorical moves to improve knowledge representation.
This document summarizes a project aimed at predicting algae blooms using data mining techniques. The team analyzed a dataset of 200 water samples measuring chemical properties and frequencies of 7 algae types. They tested multiple linear regression, regression trees, and random forests but were unable to produce an accurate predictive model, with normalized mean square errors remaining high. They concluded that the available data was insufficient to reliably predict algae concentrations and that further methods would be needed.
Heart Touching Romantic Love Shayari In English with ImagesShort Good Quotes
Explore our beautiful collection of Romantic Love Shayari in English to express your love. These heartfelt shayaris are perfect for sharing with your loved one. Get the best words to show your love and care.
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Similar to Aulas editage como estruturar um artigo original de pesquisa
The document discusses different types of research including descriptive research, exploratory research, quantitative research, and qualitative research. Descriptive research involves collecting quantitative or qualitative data to describe categories of information. Exploratory research examines a subject to gain further insight and identify issues for future research without seeking definitive answers. Quantitative research relies on quantitative data and statistics while qualitative research relies on qualitative data like interviews and observations to understand concepts, beliefs, and experiences. Examples of different types of research studies are provided.
Making your science powerful : an introduction to NGS experimental designjelena121
A basic overview of considerations for designing genomics experiments using Next Generation Sequencing (NGS). Includes a discussion of power, accuracy, what samples to collect, and what sequencing parameters to use.
Chapter 9 sampling and statistical toolMaria Theresa
This document discusses sampling techniques used in research. It defines sampling as selecting a representative portion of a population to represent the whole. It identifies key sampling terms and discusses factors to consider such as sample size, margin of error, and sampling error. The document also describes different sampling techniques including probability sampling methods like simple random sampling, systematic sampling, and stratified random sampling as well as non-probability sampling techniques. Guidelines for determining minimum sample sizes for different study types are also provided.
[David a. coley]_an_introduction_to_genetic_algori(book_fi.org)swapnatoya
This document provides an introduction to genetic algorithms. It begins with a brief overview of genetic algorithms and some of their applications, such as image processing, protein structure prediction, chip layout design, and analysis of time series data. The rest of the document covers the typical components of a genetic algorithm, including an initial population of solutions, a fitness function, operators to combine solutions and introduce mutations, and iteration of these steps over generations. Code implementations and further resources are also discussed.
This document introduces a handbook of biological statistics. It provides an overview of the goals and contents of the handbook, which is designed to teach biology students how to choose and apply appropriate statistical tests to analyze biological experiments. It describes the layout and navigation of the handbook, and how it includes spreadsheets to perform statistical tests as well as instructions for other programs like SAS. It also covers information about citing the handbook and suggestions for further reading on statistics.
This document summarizes a simulation analysis comparing the use of S1 families and doubled haploid (DH) lines in a wheat breeding program. The simulation examined different genetic models, including additive effects and genotype-by-environment interactions. It found that using 250 or more DH lines provided higher response to selection than 1000 S1 families, even with genetic complexity from interactions. Selection of fewer families increased short-term response but risked losing favorable genes through drift in the long run. The study suggests DH lines could feasibly replace S1 families to increase genetic gain in the breeding program.
Designing your evaluations is one of the most important aspects of any user experience process. If these evaluations are designed badly you will not be able to apply the correct analysis, and if you cannot apply the correct analysis you will not be able to make any conclusions as to the applicability or success of your interventions at the interface or interactive level. In reality this means that if this is not done correctly the previous ≈215 pages of this book have been, to a large extent, pointless.
This document discusses various sampling methods and concepts. It begins by defining a sample as a smaller collection of units from a population used to determine truths about that population. Key reasons for sampling include conserving resources and achieving results with a known level of accuracy. The document then covers probability and non-probability sampling methods. It discusses simple random sampling, stratified sampling, cluster sampling, multistage sampling, and other approaches. It also addresses important sampling concepts like populations, frames, and representativeness.
Towards Understanding SE Experiments Replication (ESEM'13 Keynote)Natalia Juristo
To consolidate a body of knowledge built upon evidence, experimental results have to be extensively verified. Experiments need replication at other times and under other conditions before they can produce an established piece of knowledge. Several replications need to be run to strengthen the evidence.
Most SE experiments have not been replicated. If an experiment is not replicated, there is no way to distinguish whether results were produced by chance (the observed event occurred accidentally), results are artifactual (the event occurred because of the experimental configuration but does not exist in reality) or results conform to a pattern existing in reality.
The immaturity of experimental SE knowledge has been an obstacle to replication. Context differences usually oblige SE experimenters to adapt experiments for replication. As key experimental conditions are yet unknown, slight changes in replications have led to differences in the results that prevent verification.
There are still many uncertainties about how to proceed with replications of SE experiments. Should replicators reuse the baseline experiment materials? How much liaison should there be among the original and replicating experimenters, if any? What elements of the experimental configuration can be changed for the experiment to be considered a replication rather than a new experiment?
The aim of replication is to verify results, but different types of replication serve special verification purposes and afford different degrees of change. Each replication type helps to discover particular experimental conditions that might influence the results. We need to learn which types of replications are feasible in SE as well as the acceptable changes for each type and the level of verification provided.
How long should Offspring Lifespan be in order to obtain a proper exploration?Mario Pavone
The time an offspring should live and remain into
the population in order to evolve and mature is a crucial factor
of the performance of population-based algorithms both in the
search for global optima, and in escaping from the local optima.
Offsprings lifespan influences a correct exploration of the search
space, and a fruitful exploiting of the knowledge learned. In
this research work we present an experimental study on an
immunological-inspired heuristic, called OPT-IA, with the aim
to understand how long must the lifespan of each clone be
to properly explore the solution space. Eleven different types
of age assignment have been considered and studied, for an
overall of 924 experiments, with the main goal to determine
the best one, as well as an efficiency ranking among all the
age assignments. This research work represents a first step
towards the verification if the top 4 age assignments in the
obtained ranking are still valid and suitable on other discrete
and continuous domains, i.e. they continue to be the top 4 even
if in different order.
This document introduces the Handbook of Biological Statistics, an online textbook for teaching biology students to choose and apply appropriate statistical tests. It provides spreadsheets to perform statistical tests with sample data already entered. The handbook covers statistical tests in a less technical way than traditional textbooks, focusing on statistics as a useful tool rather than the mathematical basis. It summarizes the steps for analyzing biological data and defines different types of variables.
Using Semantics of Textbook Highlights to Predict Student Comprehension and K...Sergey Sosnovsky
The document presents a framework for using the semantics of student textbook highlights to predict comprehension and knowledge retention. It uses semantic embeddings to encode highlighted sentences, compares them to questions, and uses the match scores in a model. It finds that augmenting a baseline model with highlighting features improves predictions of question accuracy, especially for held-out students. A semantic encoding of highlights performed better than a positional encoding. The approach works well across different levels of conceptual difficulty as defined by Bloom's taxonomy.
Hypothesis Testing and Experimental design.pptxAbile2
The document discusses hypothesis testing and experimental design. It explains that hypothesis testing involves designing a method to collect data to evaluate and accept or reject a hypothesis. Experimental design aims to minimize sources of variability except the treatment being tested. Key aspects of experimental design discussed include sample size, replication, controls, randomization, and interspersion of treatments. Different types of experimental designs are also outlined, including completely randomized designs, randomized complete block designs, and factorial designs.
The independent variable was the description of the instructor as either "warm" or "cold". The dependent variable was the rating subjects gave the instructor after the lecture. The experiment had a control (some subjects read the "warm" description) and experimental group (some subjects read the "cold" description). Only one variable (the description of the instructor) was tested between the two groups.
A case study that explains how quality of data is much better in case of online surveys, with guidelines on how sampling and non-sampling errors are eliminated.
This document discusses three possible strategies for identifying biological knowledge from scientific literature: 1) Allowing authors to validate biological entities during the writing process, 2) Performing discourse analysis to understand persuasive elements and relationships between ideas, and 3) Encouraging collaboration between authors and databases to identify hypotheses. It focuses on the challenges of current fact extraction techniques and the potential for modeling discourse and rhetorical moves to improve knowledge representation.
This document summarizes a project aimed at predicting algae blooms using data mining techniques. The team analyzed a dataset of 200 water samples measuring chemical properties and frequencies of 7 algae types. They tested multiple linear regression, regression trees, and random forests but were unable to produce an accurate predictive model, with normalized mean square errors remaining high. They concluded that the available data was insufficient to reliably predict algae concentrations and that further methods would be needed.
Similar to Aulas editage como estruturar um artigo original de pesquisa (20)
Heart Touching Romantic Love Shayari In English with ImagesShort Good Quotes
Explore our beautiful collection of Romantic Love Shayari in English to express your love. These heartfelt shayaris are perfect for sharing with your loved one. Get the best words to show your love and care.
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
KALYAN MATKA | MATKA RESULT | KALYAN MATKA TIPS | SATTA MATKA | MATKA.COM | MATKA PANA JODI TODAY | BATTA SATKA | MATKA PATTI JODI NUMBER | MATKA RESULTS | MATKA CHART | MATKA JODI | SATTA COM | FULL RATE GAME | MATKA GAME | MATKA WAPKA | ALL MATKA RESULT LIVE ONLINE | MATKA RESULT | KALYAN MATKA RESULT | DPBOSS MATKA 143 | MAIN MATKA
❼❷⓿❺❻❷❽❷❼❽ Dpboss Kalyan Satta Matka Guessing Matka Result Main Bazar chart Final Matka Satta Matta Matka 143 Kalyan Chart Satta fix Jodi Kalyan Final ank Matka Boss Satta 143 Matka 420 Golden Matka Final Satta Kalyan Penal Chart Dpboss 143 Guessing Kalyan Night Chart
The cherry: beauty, softness, its heart-shaped plastic has inspired artists since Antiquity. Cherries and strawberries were considered the fruits of paradise and thus represented the souls of men.
Aulas editage como estruturar um artigo original de pesquisa
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55. Plain English
Elements of good writing: Know
what you want to say. Be clear. Be
concise. Use good grammar.
Effective communication requires
• Plain English
• Concise sentences
• Everyday words
With international collaborations
being increasingly common,
language is becoming more standard
55
57. Wordy Phrases
57
can
has proved, is
since
if
usually, generally
daily
until
duringduring the course of
exhibits the ability
has proved itself to be
inasmuch as
in the event that
in the majority of instances
on a daily basis
until such time as
59. Example
59
• Studies of barriers to implementation of
preventive services have concluded that ….
• Barriers to the implementation of
preventive services have included ….
• The practical implementation of
preventive services has been blocked by ….
60. Include: have as a part, typically an incomplete listing
These items included information on the number of inpatient
hours provided by the physician.
Comprise: consist of, implies a complete listed (not passive)
One hundred Igh‐V genes comprise seven families of
homologous genes.
Compose: make up the parts of (can be passive)
Prohibitins, stomatins, and plant disease response genes
compose a protein superfamily that controls cell proliferation,
ion channel regulation, and death.
Common problems
60
61. Increase: become or make better in some aspect
Every 10‐point increase in the automation score was
associated with a usability score 3.8 points higher
Augment: increase by addition of something already good
The chimpanzees were able to augment their diets with the
use of basic tools for rudimentary processing of certain nuts.
Enhance: evaluative word for something already attractive
The development of agriculture enhanced humans’ quality of
life, but certain measurable consequences arose.
Improve: to make better, from any state
A permission attitude towards urban gardening can improve
the beauty, image, and crime rate of a neighborhood.
Common problems
61
62. Misused/Troublesome Words and Phrases
ability power to do something
capacity power of receiving or containing
accept receive willingly
except to exclude
advise offer counsel
inform communicate information
affect (v) to change or influence
effect (n) result or outcome
because of by reason of
due to attributable to
62
63. Misused/Troublesome Words and Phrases
data with facts (plural)
information (singular)
datum singular form (rarely seen)
e.g. for example
i.e. that is/in other words
equipment should never be plural
irregardless use ‘regardless’
that used with a restrictive clause (required
for sentence)
which used with non‐restrictive clause
(additional information)
63
64. Indicative vs. Informative verbs
Indicative: What the paper is going to be about
• Oort’s study examined the galaxies.
Note: “Examined” takes a direct object (the entity that is
acted upon by the subject)
Informative: Discussing claims
• Oort’s study showed that dark matter accounts for the “missing
mass” in galaxies.
Note: “showed” takes a “that” clause (not always true of
informative verbs)
Indicative and informative verbs are also important to understand
when writing about tables and charts
65. Indicative
• Figure 4 _______ the
survey results
• Feynman’s 1950 study
________ the problem.
Informative
• Figure 4 _________ the
decline in student
attendance through the
semester.
• Table 3 _________ that
the efficacy of the drug
decreased over time.
The Test
66. Indicative and Informative verbs
Indicative Informative
show
provide
give
present
summarize
illustrate
reveal
display
demonstrate
indicate
suggest
66
67. Indicative and Informative verbs
Indicative Informative
show Y
provide Y
give Y
present Y
summarize Y
illustrate Y
reveal Y
display Y
demonstrate Y
indicate Y
suggest N
67
68. Indicative and Informative verbs
Indicative Informative
show Y Y
provide Y N
give Y N
present Y N
summarize Y N
illustrate Y Y
reveal Y Y
display Y N
demonstrate Y Y
indicate Y Y
suggest N Y
68
69. Beginning a sentence with a numeral
150 survey respondents were randomly chosen for follow‐up
interviews.
1. Note that 150 survey respondents were randomly chosen for follow‐
up interviews.
60% of the enrolled subjects continued their participation until the
end of the study.
1. Sixty percent of the enrolled subjects continued their
participation until the end of the study.
2. In this study, 60% of the enrolled subjects continued their
participation until the end.
Example 1/9
69
70. The equation for estimating this value is A = 3.56 x 10‐2 γ [a + b].
The 100 ug mL‐1 extracts improved the antioxidant test for
cellular oxidative stress.
Example 2/9
70
71. Using the alphabet instead of the proper symbol (×, μ, etc.) and putting a
space before and after mathematical operators
The equation for estimating this value is A = 3.56 x 10‐2 γ [a + b].
The equation for estimating this value is A = 3.56 × 10‐2 γ
[a + b].
The 100 ug mL‐1 extracts improved the antioxidant test for
cellular oxidative stress.
The 100 μg mL‐1 extracts improved the antioxidant test for
cellular oxidative stress.
Example 2/9
71
72. Example 3/9
The body weight of the bonobos ranged between 45kg and 55kg; their
average body weight was 48.5kg.
Of the 91 participants (average age 60±5years), 51 and 40 were divided
into 2 groups based on their marital status.
72
73. Example 3/9
Not inserting a space between a numeral and its corresponding unit of
measurement
The body weight of the bonobos ranged between 45kg and 55kg; their
average body weight was 48.5kg.
The body weight of the bonobos ranged between 45 kg and 55 kg;
their average body weight was 48.5 kg.
Of the 91 participants (average age 60±5years), 51 and 40 were divided
into 2 groups based on their marital status.
Of the 91 participants (average age 60 ± 5 years), 51 and 40 were
divided into 2 groups based on their marital status.
73
74. An embedded operating system (OS) with a CPU clock of 600MHz and RAM size
of 111MB is used in these tests.
Sentencing for suspects found with as little as 5g of crack cocaine were found
disproportionate to the equivalent amount of the powdered form.
Example 4/9
74
75. Not inserting a space between a numeral and its corresponding unit of
measurement
An embedded operating system (OS) with a CPU clock of 600MHz and RAM size
of 111MB is used in these tests.
Sentencing for suspects found with as little as 5g of crack cocaine were found
disproportionate to the equivalent amount of the powdered form.
Example 4/9
75
76. Not inserting a space between a numeral and its corresponding unit of
measurement
An embedded operating system (OS) with a CPU clock of 600MHz and RAM size
of 111MB is used in these tests.
An embedded operating system (OS) with a CPU clock of 600 MHz and RAM
size of 111 MB is used in these tests.
Sentencing for suspects found with as little as 5g of crack cocaine were found
disproportionate to the equivalent amount of the powdered form.
Sentencing for suspects found with as little as 5 g of crack cocaine were
found disproportionate to the equivalent amount of the powdered form.
Example 4/9
76
77. The baseline characteristics of all subjects were summarized in
Table 1.
Figure 4 showed the results of the sentencing reform act in each
state.
Example 5/9
77
78. Using the past tense for in-text reference to figures and tables
The baseline characteristics of all subjects were summarized in
Table 1.
The baseline characteristics of all subjects are summarized in
Table 1.
Figure 4 showed the results of the sentencing reform act in each
state.
Figure 4 shows the results of the sentencing reform act in each
state.
Example 5/9
78
79. The recent innovations in mapping technologies, GPS in particular, has
revolutionized demographics.
The ratio of corporate coffee shops to independent coffee shops were
defined as the indie index.
Example 6/9
79
80. Using a singular verb with a plural subject and vice versa
The recent innovations in mapping technologies, GPS in particular, has
revolutionized demographics.
The recent innovations in mapping technologies, GPS in particular,
have revolutionized demographics.
The ratio of corporate coffee shops to independent coffee shops were
defined as the indie index.
The ratio of corporate coffee shops to independent coffee shops was
defined as the indie index.
Example 6/9
80
81. We developed a fully‐automated method that estimates high‐risk
crime areas in real time.
People with a surgically‐separated corpus callosum have recently come to the
attention of researchers in the field of evolutionary psychology.
Example 7/9
81
82. Inserting a hyphen in a compound adjective when the first word is an
adverb ending in ly
We developed a fully‐automated method that estimates high‐risk
crime areas in real time.
People with a surgically‐separated corpus callosum have recently come to the
attention of researchers in the field of evolutionary psychology.
Example 7/9
82
83. Inserting a hyphen in a compound adjective when the first word is an
adverb ending in ly
We developed a fully‐automated method that estimates high‐risk
crime areas in real time.
We developed a fully automated method that estimates
high‐risk crime areas in real time.
People with a surgically‐separated corpus callosum have recently come to the
attention of researchers in the field of evolutionary psychology.
People with a surgically separated corpus callosum have recently come
to the attention of researchers in the field of evolutionary psychology.
Example 7/9
83
84. We observed that poor test performance was due to not only lack of
parental engagement, but also poverty.
Pre‐marriage couples counseling is valuable not only in reducing the
chances of eventual divorce, but also in improving lifetime income levels
of the couples.
Example 8/9
84
85. Inserting a comma before but also in a sentence containing the correlative
conjunction ‘not only...but also’
We observed that poor test performance was due to not only lack of
parental engagement, but also poverty.
Pre‐marriage couples counseling is valuable not only in reducing the
chances of eventual divorce, but also in improving lifetime income levels
of the couples.
Example 8/9
85
86. Inserting a comma before but also in a sentence containing the correlative
conjunction ‘not only...but also’
We observed that poor test performance was due to not only lack of
parental engagement, but also poverty.
We observed that poor test performance was due to not only lack of
parental engagement but also poverty.
Pre‐marriage couples counseling is valuable not only in reducing the
chances of eventual divorce, but also in improving lifetime income levels
of the couples.
Pre‐marriage couples counseling is valuable not only in reducing the
chances of eventual divorce but also in improving lifetime income
levels of the couples.
Example 8/9
86
87. Parental earnings are shown in Table 1. Table 2 shows the earnings of all female
subjects.
Last year alone the number of health food stores have doubled, as shown in Fig.
5. In addition, fast food restaurants nationwide have begun closing stores, as
shown in the inset of Fig. 5.
Example 9/9
87
88. Using the same or similar word/phrase in quick succession in two consecutive
sentences
Parents’ income levels are shown in Table 1. Table 2 shows the income levels of
their female children.
Tables 1 and 2 show parental earnings and income levels of all female
subjects, respectively.
Last year alone the number of health food stores have doubled, as shown in Fig.
5. In addition, fast food restaurants nationwide have been closing stores at
double the rate from the previous year, as shown in the inset of Fig. 5.
Last year alone the number of health food stores have doubled (Fig. 5); in
the inset, the inverse trend in fast food restaurants is observed.
Example 9/9
88