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3 years ago

Explain the techniques needed for fielding a groundball (DON’T POST LINKS)

Health

1 answer:

Volgvan3 years ago

7 0

Answer:

Umm by making the Throw.

aking the Throw.Take a mini hop or a shuffle step

and make your throw.

Take your right foot and swing it around so your right foot shuffles into your left foot.

Make sure you shuffle one more time so your momentum can be in a straight line towards first base. Then make your throw.

Explanation:

I hope it helps

have have a great day

$#Liliflim$

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How many bones are there in the left foot and the sternum combined?

Nostrana [21]

There is 106 bones combined

sternum bones vv
The manubrium: forms the upper part of the sternum. ...Body: This part of the sternum articulates with the costal cartilages of the 2nd through 7th ribs on its sides and with the xiphoid process.Xiphoid process: This small piece of cartilage turns into bone during adulthood.

left foot bones vv

The foot itself can be divided into 3 parts: the hindfoot, the midfoot, and the forefoot. The hindfoot is composed of 2 of the 7 tarsal bones, the talus, and the calcaneus; the midfoot contains the rest of the tarsal bones; and the forefoot contains the metatarsals and the phalanges.

hope this helps :)

6 0

3 years ago

Which of the following in-school activity is least likely to increase bone strength? (1 point)

Alinara [238K]

Answer: Track relay racing

Throwing baseballs puts a high impact on your bones and muscles causing them to increase in strength and muscle. We see the same thing happen in volleyball and basketball. However in track, the explosive movements do not put the same amount of pressure on your bones causing it to be the least likely to increase bone strength.

8 0

3 years ago

A) Using the Genetic algorithm approach – reproduction crossover and mutation technique, determine the number of guesses that wi

Marizza181 [45]

Explanation:

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Christopher Scheidel

over 3 years ago

Great introduction for those new to GAs. I’ve been working with GAs for about 19 years now and another way that my business partner and I have represented them is as binary trees. With this concept you can think of mutation as “leaf replacement” or…...

2 replies

Jeff Flynt

over 3 years ago

Coming from a microbiology background I understand the biology portion, but can you provide a real world problem that this can be applied to? I see you mentioned search, but can you go into more details?

4 replies

Dan Lovy

about 3 years ago

Very nice article. I have just completed a GA project that applies this to neural simulation —

Eranga Heshan

over 3 years ago

Wow… Need to run the code see by myself O:)

1 reply

Anuradha Wickramarachchi

over 3 years ago

Excellent piece of work!!

1 reply

mem ento

about 1 year ago

Hello Ms Mallawaarachchi,

Very nice article !

Germán Meléndrez Carballo

over 3 years ago

I think that a very valuable resource/reference you can provide is the book: Introduction to evolutionary computing, 2nd edition, A. E. Eiben & J. E. Smith.

1 reply

Wenderson Júnio

about 3 years ago

Awesome ! Very well explained ! Thanks for sharing.

1 reply

Dip Patel

over 3 years ago

Great Post!!

Can you do more deeper into Evaluation Strategies in next post ?

1 reply

Arun Prasad T S V

over 3 years ago

Hello!

Please share the coding for creating cryptography (encryption,decryption) using genetic algorithm.

with regards,

T.S.V.ARUNPRASAD

1 reply

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Introduction to Genetic Algorithms — Including Example Code

Vijini Mallawaarachchi

Jul 8, 2017·4 min read

A genetic algorithm is a search heuristic that is inspired by Charles Darwin’s theory of natural evolution. This algorithm reflects the process of natural selection where the fittest individuals are selected for reproduction in order to produce offspring of the next generation.

Image for post

Notion of Natural Selection

The process of natural selection starts with the selection of fittest individuals from a population. They produce offspring which inherit the characteristics of the parents and will be added to the next generation. If parents have better fitness, their offspring will be better than parents and have a better chance at surviving. This process keeps on iterating and at the end, a generation with the fittest individuals will be found.

This notion can be applied for a search problem. We consider a set of solutions for a problem and select the set of best ones out of them.

Five phases are considered in a genetic algorithm.

Initial population

Fitness function

Selection

Crossover

Mutation

Initial Population

The process begins with a set of individuals which is called a Population. Each individual is a solution to the problem you want to solve.

An individual is characterized by a set of parameters (variables) known as Genes. Genes are joined into a string to form a Chromosome (solution).

In a genetic algorithm, the set of genes of an individual is represented using a string, in terms of an alphabet. Usually, binary values are used (string of 1s and 0s). We say that we encode the genes in a chromosome.

Image for post

Population, Chromosomes and Genes

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3 years ago

Which of the following explains the relationship between stress and performance based on the Yerkes-Dodson Law?

iragen [17]

Answer:

Explanation:

Read your notes!! Here are mine

4 0

3 years ago

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What are some reasons that teens doesn’t get enough sleep?

Bumek [7]

-Too much workload
-Stressing (over work or other useless things like other people’s opinions)
-Always on technology or electronic devices
-They feel like they don’t have enough time to do fun things
-depression due to judgements

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4 years ago

Read 2 more answers