
Concept explainers
(a)
Explanation of Solution
World Wide Web:
The World Wide Web (WWW) is a space where the documents and resources are identified by Uniform Resource Locators that are interlinked and accessed through the Internet. It is governed by Hyper Text Transfer Protocol. It is comprised of files and folders.
Consider a website of Amazon as an example.
Screenshot of Amazon Home page
(b)
Explanation of Solution
Purpose of the site:
The purpose of this site is to deliver products to their customers. It is a giant market where customer can find various products...
(c)
Explanation of Solution
Intended audience: Amazon Company aims at wide audience all over the world who are interested in online shopping...
(d)
Explanation of Solution
Site reaches the audience:
“Yes”, the Amazon website reaches all the targeted audience because they sell items t...
(e)
Explanation of Solution
Usefulness:
“Yes”, the Amazon website is useful to all bec...
(f)
Explanation of Solution
Appealing of the website:
- Some people suggest that the Amazon website has weak security policy where hackers hacks the information about the clients...
(g)
Explanation of Solution
Encouraging others:
“Yes”, one encourages others to visit this site because they deliver products to their customers with many offers...
(h)
Explanation of Solution
Improving the website:
Though this site is well maintained, some sections can be improved. They are:
- Security of the site can be improved by adding JavaScript or AngularJS...

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Chapter 1 Solutions
Web Development and Design Foundations with HTML5 (9th Edition) (What's New in Computer Science)
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- Why I need ?arrow_forwardHere are two diagrams. Make them very explicit, similar to Example Diagram 3 (the Architecture of MSCTNN). graph LR subgraph Teacher_Model_B [Teacher Model (Pretrained)] Input_Teacher_B[Input C (Complete Data)] --> Teacher_Encoder_B[Transformer Encoder T] Teacher_Encoder_B --> Teacher_Prediction_B[Teacher Prediction y_T] Teacher_Encoder_B --> Teacher_Features_B[Internal Features F_T] end subgraph Student_B_Model [Student Model B (Handles Missing Labels)] Input_Student_B[Input C (Complete Data)] --> Student_B_Encoder[Transformer Encoder E_B] Student_B_Encoder --> Student_B_Prediction[Student B Prediction y_B] end subgraph Knowledge_Distillation_B [Knowledge Distillation (Student B)] Teacher_Prediction_B -- Logits Distillation Loss (L_logits_B) --> Total_Loss_B Teacher_Features_B -- Feature Alignment Loss (L_feature_B) --> Total_Loss_B Partial_Labels_B[Partial Labels y_p] -- Prediction Loss (L_pred_B) --> Total_Loss_B Total_Loss_B -- Backpropagation -->…arrow_forwardPlease provide me with the output image of both of them . below are the diagrams code I have two diagram : first diagram code graph LR subgraph Teacher Model (Pretrained) Input_Teacher[Input C (Complete Data)] --> Teacher_Encoder[Transformer Encoder T] Teacher_Encoder --> Teacher_Prediction[Teacher Prediction y_T] Teacher_Encoder --> Teacher_Features[Internal Features F_T] end subgraph Student_A_Model[Student Model A (Handles Missing Values)] Input_Student_A[Input M (Data with Missing Values)] --> Student_A_Encoder[Transformer Encoder E_A] Student_A_Encoder --> Student_A_Prediction[Student A Prediction y_A] Student_A_Encoder --> Student_A_Features[Student A Features F_A] end subgraph Knowledge_Distillation_A [Knowledge Distillation (Student A)] Teacher_Prediction -- Logits Distillation Loss (L_logits_A) --> Total_Loss_A Teacher_Features -- Feature Alignment Loss (L_feature_A) --> Total_Loss_A Ground_Truth_A[Ground Truth y_gt] -- Prediction Loss (L_pred_A)…arrow_forward
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