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Pachacha [2.7K]
3 years ago
14

Your wearable device synchronized with your smartphone this morning when you turned it on, but the two devices no longer are syn

chronized. what might be wrong, and what are your next steps?
Computers and Technology
1 answer:
Lady_Fox [76]3 years ago
7 0
<span>There are several reasons why two devices are not synchronized: maybe there are not the same versions of the programs on both devices, maybe the software needs restart in order to have the latest input data, maybe the internet connection was lost during synchronization

Next steps would be:
- restart the devices
- Update to the latest version
- connect to the internet
- make the synchronization again
</span>
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Select the statements below that correctly match the meaning of the letter in the concept of developing SMART goals?
fenix001 [56]

Specific, Measurable, Attainable, Relevant and Timely.

6 0
3 years ago
The _____, a subcortical brain structure crucially involved in storing new information in memory, is smaller in people with schi
pashok25 [27]

Answer:

The hippocampus, a subcortical brain structure crucially involved in storing new information in memory, is smaller in people with schizophrenia and their first-degree relatives (parents and siblings) than in control participants.

6 0
3 years ago
Which of the following situations best illustrates the process of authentication?a.A Web site sets users' passwords to expire ev
Paladinen [302]

Using an electronic signature on official documentation best illustrates the process of authentication

Further explanation:

The continuous rise of Electronic signatures has made it easier for people to accept signed documents by email or through electronic devices. One good example of electronic signatures is the implementation of digital signatures which broadly encompasses many types of electronic signatures out there. Digital signatures are unique to each signer and follow a standard authentication protocol called PKI. PKI use mathematical algorithms to generate what are known as private and public keys.

A good example is Bob and Jane. Jane sends an eSignature document using her private keys. Bob receives this document with an attached copy of Jane’s public key. The signature will be considered valid if the public key decrypts the signature correctly.

Learn more about eSignatures and electronic signatures.

brainly.com/question/8776017

#LearnWithBrainly

7 0
4 years ago
1.Write a Java program to solve the following problem using modularity. Write a method that rotates a one-dimensional array with
Westkost [7]

Answer:

Explanation:

The following code is written in Java and it asks the user for the size of the array. Then it randomly populates the array and prints it. Next, it rotates all the elements to the right by 1 and prints the new rotated array.

import java.util.ArrayList;

import java.util.Arrays;

import java.util.Random;

import java.util.Scanner;

class Brainly {

   public static void main(String[] args) {

       Random r = new Random();

       Scanner in = new Scanner(System.in);

       System.out.println("Enter Size of the Array: ");

       int arraySize = in.nextInt();

       ArrayList<Integer> myList = new ArrayList<>();

       for (int x = 0; x < arraySize; x++) {

           myList.add(r.nextInt(15));

       }

       System.out.println("List Before Rotation : " + Arrays.toString(myList.toArray()));

       for (int i = 0; i < 1; i++) {

           int temp = myList.get(myList.size()-1);

           for (int j = myList.size()-1; j > 0; j--) {

               myList.set(j, myList.get(j - 1));

           }

           myList.set(0, temp);

       }

       System.out.println("List After Rotation :  " + Arrays.toString(myList.toArray()));

   }

}

6 0
3 years ago
You trained a binary classifier model which gives very high accuracy on thetraining data, but much lower accuracy on validation
kompoz [17]

Answer:

a. This is an instance of overfitting.

Explanation:

In data modeling and machine learning practice, data modeling begins with model training whereby the training data is used to train and fit a prediction model. When a trained model performs well on training data and has low accuracy on the test data, then we say say the model is overfitting. This means that the model is memorizing rather Than learning and hence, model fits the data too well, hence, making the model unable to perform well on the test or validation set. A model which underfits will fail to perform well on both the training and validation set.

4 0
3 years ago
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