Please type out the Rational models like the example -incident---descr.docx

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Please type out the Rational models like the example "incident...description" and provide the Foreign key. Convert the following ER diagrams into relational models. There are two scenarios in total. Srenarin 1. Safetv Incident Datahace for Amucement Dark Incident: IncidentID, date, time, description Scenario 2: Tracking Trips for the SchUber Taxi Service .

Please type out the Rational models like the example "incident...description" and provide the
Foreign key.
Convert the following ER diagrams into relational models. There are two scenarios in total.
Srenarin 1. Safetv Incident Datahace for Amucement Dark Incident: IncidentID, date, time,
description Scenario 2: Tracking Trips for the SchUber Taxi Service

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Please help fill in the missing code below in order for it run correctly. Areas that are needed/missing are in highlighted in bold . import numpy as np import tensorflow as tf import matplotlib.pyplot as plt #1) Generate the synthetic data using the following Python code snippet. # Generate synthetic data N = 100 # Zeros form a Gaussian centered at (-1, -1) x_zeros = np.random.multivariate_normal(mean=np.array((-1, -1)), cov=.1*np.eye(2), size=(N//2,)) y_zeros = np.zeros((N//2,)) # Ones form a Gaussian centered at (1, 1) x_ones = np.random.multivariate_normal(mean=np.array((1, 1)), cov=.1*np.eye(2), size=(N//2,)) y_ones = np.ones((N//2,)) x_np = np.vstack([x_zeros, x_ones]) y_np = np.concatenate([y_zeros, y_ones]) # Plot x_zeros and x_ones on the same graph plt.scatter(x_zeros[:,0], x_zeros[:,1], label='class 0') plt.scatter(x_ones[:,0], x_ones[:,1], label='class 1') plt.legend() plt.show() #3) Generate a TensorFlow graph. with tf.name_scope("placeholders"): x = tf.constant(x_np, dtype=tf.float32) y = tf.constant(y_np, dtype=tf.float32) with tf.name_scope("weights"): W = tf.Variable(tf.random.normal((2, 1))) b = tf.Variable(tf.random.normal((1,))) with tf.name_scope("prediction"): y_logit = tf.squeeze(tf.matmul(x, W) + b) # the sigmoid gives the class probability of 1 y_one_prob = tf.sigmoid(y_logit) # Rounding P(y=1) will give the correct prediction. y_pred = tf.round(y_one_prob) with tf.name_scope("loss"): # Compute the cross-entropy term for each datapoint entropy = tf.nn.sigmoid_cross_entropy_with_logits(logits=y_logit, labels=y) # Sum all contributions l = tf.reduce_sum(entropy) with tf.name_scope("optim"): train_op = tf.compat.v1.train.AdamOptimizer(.01).minimize(l) with tf.name_scope("summaries"): tf.compat.v1.summary.scalar("loss", l) merged = tf.compat.v1.summary.merge_all() train_writer = tf.compat.v1.summary.FileWriter('logistic-train', tf.compat.v1.get_default_graph()) #4) Train the model, get the weights, and make predictions. #5) Plot the predicted outputs on top of the data. .

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Please create a journal entry & adjusting entries 12) Only part of the interest expense on the note payable, mortgage payable, and bonds payable has been expensed for the entire year. Determine the correct amount of total interest expense for the year and accrue what is necessary. 13) The Board of Directors declared dividends for the common shareholders of $50,000 plus the amount due for the preferred shareholders. No dividends have been paid for the year 2021. 14) The income tax rate is 20%. .

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You may have heard about the accounting scandals of the early 2000s that included Enron, WorldCom, and Qwest Communications. In each of these scandals, investors lost billions of dollars due to questionable accounting practices. In response to these scandals, in 2002, Congress passed the Sarbanes-Oxley Act of 2002, which required publicly traded companies to report on the effectiveness of their internal controls in their SEC filings. Internal controls are procedures and processes in place at a company that ensure reliable financial statements, efficient operations, and compliance with laws and regulations. Management is required to establish, maintain, and assess their internal controls. The following are common controls that companies use to safeguard company assets and improve the reliability of their accounting records. Elements of fraud are: Solution ENRON SCANDAL Enron company has gained waives over the past few years in relation to accounting practices. Enron stands out as one of the most remarkable failures in business history. The company engaged in many deceptive accounting practices to hide loses and receive money from US investors. As a result most studies have given considerable attention to its accountancy practices. Daniel Kadlec revealed in Times Magazine the whole issue related to the scandal. He highlighted on Enron .

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You live in Omaha, and you are a secret agent. You need to send a three page letter to another secret agent in Blair. You decide to send each page separately because of the highly secret nature of the message. And, you decide to encrypt the message. You send the three pages as registered mail, which requires receipts from the recipient. Describe any similarities between each OSI layer and the secret letter being sent to your fellow agent. A hint for several of the layers: Think about the address on an envelope. What part(s) are similar to the idea of a data frame? What parts are similar to the idea of an IP address? Solution The seven OSI layers are defines as follows (Feig)1 : 7. Application: Provides different services to the application 6. Presentation: Converts the information 5. Session: Handles problems which are not communication issues 4. Transport: Provides end to end communication control 3. Network: Routes the information in the network 2. Data Link: Provides error control 1. Physical: Connects the entity to the transmission media Using above layers comparing each of them with secret letter being sent to our fellow agent. .

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Understanding Accommodations and Modifications

Python Notes for mca i year students osmania university.docx

Python Notes for mca i year students osmania university.docx

Python Notes for mca i year students osmania university.docx

How to Manage Global Discount in Odoo 17 POS

How to Manage Global Discount in Odoo 17 POS

How to Manage Global Discount in Odoo 17 POS

Please type out the Rational models like the example -incident---descr.docx

1. Please type out the Rational models like the example "incident...description" and provide the Foreign key. Convert the following ER diagrams into relational models. There are two scenarios in total. Srenarin 1. Safetv Incident Datahace for Amucement Dark Incident: IncidentID, date, time, description Scenario 2: Tracking Trips for the SchUber Taxi Service