Utility maximization under constraint substitution and inco.pdf

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Utility maximization under constraint, substitution and income effect, CV and EV (20 points) Josh gets utility (satisfaction) from two goods, A and B, according to the utility function U(A,B)=3[A3+B3 ]3+50. While Josh would like to consume as much as possible he is limited by his income. a. Maximize Josh's utility subject to the budget constraint using the Lagrangean method ( 10 points). b. Suppose PA increases. Show graphically the income, substitution effect and total effect and explain (5 points). c. Suppose PA increases. Show the graphs for CV and EV and explain. One graph for CV and one graph for EV (5 points)..

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Usted es consultor comercial de People for the Ethical Treatment of Animals (PETA), y el captulo regional (Indiana, Kentucky, Ohio y Tennessee) le pide que los ayude a analizar los datos de sus miembros. El grupo quiere investigar los datos demogrficos y sociogrficos de la regin para encontrar nuevos miembros potenciales, as como analizar los datos de actividad de los miembros para eventos a los que asistieron, actividades de voluntariado, donaciones, etc. Su recomendacin para un sistema de informes que ayude al captulo regional de PETA a administrar y mercado PETA debera: Qu tipos de datos seran parte de un sistema de minera de datos no supervisado (no estructurado). Explique sus opciones..

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usptrerl. the following recerd was krpe: ale. 50,P(A) a the probability that an apgreweve approkch was used, and so sn 2(S)=2(SA)=A(Sfa)= (b) Are the rvents s in sale and Pin= passive approach independent? Eupiein. Ne. R[S]+R(S+Pa). Yes. The two events can berar bepether No. The two eveits cannot oceur together. Ves. P(5)=P(5]2a). (c) Compute N(A and St and P(Pa and 5). (Encer your answers as fractions.) F(Aag 5)= (s and 5)= (d) Compute P(N) and P(NA). (Enter your answers as fractians) P(N)=P(N(A)= (el Are the erents N = nossole and A agpressiee approsch independent? Explain. Ves. F(N)=F[NA] No. the twa erents cannot ocmar bopether. Yes. The two events cant ocur together. No. P(M)=F(NA) (D) Combite P[A or S]. (Enter your bnstier as a fractign.) R(A ar 5}=.

usptrerl the following recerd was krpe ale 50PA a the .pdf

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Using Ubuntu, write a progam in C that do this: A: Wait for the process to finish B. Checks if B finished normally and prints the return value of B. Then reads the information from the integer file. dat e prints the information on the screen. B: Prints its ID and that of its parent. It executes the program process.c and returns a status of 3. The program processB.c writes 1000 integers any to the file integers.dat C: Sleeps for three seconds and then prints its ID and that of its parent. A B C.

Using Ubuntu write a progam in C that do this A Wait for .pdf

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Using Ubuntu write a program uin C that do this: A: Wait for the process to finish B. Checks if B finished normally and prints the return value of B. Then reads the information from the integer file. dat e prints the information on the screen. B: Prints its ID and that of its parent. It executes the program process.c and returns a status of 3. The program processB.c writes 1000 integers any to the file integers.dat C: Sleeps for three seconds and then prints its ID and that of its parent. PI D E F.

Using Ubuntu write a program uin C that do this A Wait for.pdf

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Using the Ramsey-Cass-Koopmans Model, what policy would best improve the economic development of a country? 1) to encourage its citizens to save 2) to gift/aid the country with items that support its production capacity (machineries, harbours, ..) 3) to encourage/transfer know-how and productivity on how to extract outputs from inputs (R&D, patents, institutions, ..) Draw graphs and use mathematical derivations to interpret each of the above policies in the Ramsey Model..

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Using the pypcaptile library (already available in the VLE), along with the sample PCAPFiles provided, develop a Python Script that extracts features of each packet. For each processed PCAP File generate a report with the following information for each uniqu connection observed and each Observed Port. Sample output files have been provided (labeled "SampleOutput"). Examine those to build you solution. Submit the following: 1) Your python script 2) The report generated by your script that demonstrates the processing of each PCAP File provided..

Using the pypcaptile library already available in the VLE.pdf

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Using the Mpgcsv dataset b Run a basic linear regression.pdf

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Using the payoffs for the HawkDove game that we discussed i.pdf

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Using the line for the Annual mean, calculate the average annual rate of increase between 1960 and 1980, and between 1990 and 2010. Show your working and dont forget to give UNITS for numerical values. Annual rate of increase = (final value initial value) / (number of years) Has the rate of increase become higher or lower? If carbon dioxide continues to increase at the same rate, what level will it reach by 2020? Do you think it will increase at the same rate, or will the rate of increase grow? Why? The graph below shows the monthly and annual means of the volume of carbon dioxide (CO2) measured in the atmosphere at Mauna Loa..

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Using the information below to answer the following two questions. Chlamydia trachomatis, Chlamydia pneumoniae, and Chlamydia psittaci are three intracellular bacterial pathogens in the same genus. Interestingly, they vary considerably in the diseases they cause. C. trachomatis is a sexually transmitted bacterium that infects the epithelial cells of the genital tract. C. pneumoniae is transmitteed via respiratory droplets from an infected human and can infect the epithelial cells in the throat and the lungs and cause pneumonia. C. psittaci is primarily a pathogen of birds. Within infected birds, the bacterium infects cells in the respiratory tract.These three Chlamydia pathogens all evolved from a common ancestor. How could genetic changes have occurred over time to give rise to these different pathogens? Select all that apply. horizontal gene transfer of new virulence genes vertical gene transfer of intact genome advantageous mutations during genome replicationThinking about the disease process, what types of factors/genes might differ amongst these species and contribute to the differences described above? Choose the best answer. adhesins affecting tropism to both host and areas of attachment within host nutrition requirements of pathogen vary method of entry in host. toxins affecting type of damage induced in host.

Using the information below to answer the following two ques.pdf

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Using the information below to answer the following three questions. A pathogenic extracellular bacterial species is transmitted through aerosols and causes respiratory infections. The pathogen does not produce a toxin but does cause damage during infection. Question 10 3.5pts What can we assume about the pathogen? Select all that apply. the pathogen produces an adhesin that binds to celis in the respiratory tract the pathogen requires nutrients from its host the pathogen produces an invasin the pathogen has some mechanisms to evade the immune system the pathogen is not cleared by the mucociliery cscalatorThe pathogen secretes enzymes into the lungs and causes damage. What is the most likely function of these enzymes and how are they secreted? to kill competing sibling bacteria; secretion system to damage cells and release nutrients; horizontal gene transfer to kill competing sibling bacteria; horizontal gene transfer to damage cells and release nutrients; secretion system Question 12 2.5pts Humans are considered a dead-end host for these bacteria, meaning there is no person-to-person: transmission. True or false: the bacteria do not meet the requirements to be considered a pathogen. True false.

Using the information below to answer the following three qu.pdf

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Using the following UML please create this java code ( I specifically need the Communicating, Displayable, enum which is the enumeration and the componentbuilder methods) (also I have a question, do I need to write something in the main class?) <Abstract> Widget -String WID -String WType -Network AssignedTo -Site Location -String AccessCode -boolean Secure -Technician User +Widget(String WID, String WType, Network AssignedTo, Site Location, String AccessCode, boolean Secure, Technician User) +toString(): String +abstract displayWidget():void Device -WType = Device +Device(String WID, Network AssignedTo, Site Location, String AccessCode, boolean Secure, Technician User) +displayDevice(): void +transmit(): void Pad -WType = Pad +Pad(String WID, Network AssignedTo, Site Location, String AccessCode, boolean Secure, Technician User) +displayPad(): void +transmit(): void Terminal -WType = Terminal +Terminal(String WID, Network AssignedTo, Site Location, String AccessCode, boolean Secure, Technician User) +displayTerminal(): void +transmit(): void <<Communicating>> +abstract transmit(): void <Abstract> Network -String NetName -String NetType -double Bandwidth -double OptimumBW -double MaxBW -double MinBW -boolean CSwitched -Status NetStatus +Network(String NetName, String NetType, double Bandwidth, double OptimumBW, double MaxBW, double MinBW, boolean Cswitched, Status NetStatus) DataNetwork -NetType = DATA +DataNetwork(String NetName, double Bandwidth, double OptimumBW, double MaxBW, double MinBW, boolean Cswitched, Status NetStatus) VideoNetwork -NetType = VIDEO +VideoNetwork(String NetName, double Bandwidth, double OptimumBW, double MaxBW, double MinBW, boolean Cswitched, Status NetStatus) CommNetwork -NetType = COMM +CommNetwork(String NetName, double Bandwidth, double OptimumBW, double MaxBW, double MinBW, boolean Cswitched, Status NetStatus) <<Displayable>> +static displayNetwork(): void Site -String SiteName -String SiteID -Status SiteStatus -int XCoord -int YCoord +Site(String SiteName, String SiteID, Status SiteStatus, int XCoord, int YCoord) +toString(): String +displaySite(): void Technician -String FName -String LName -String Password +Site(String FName, String LName, String Password) +toString(): String +displayTechnician(): void ComponentBuilder +static buildDataNetwork(String NetName): DataNetwork +static buildVideoNetwork(String NetName): VideoNetwork +static buildCommNetwork(String NetName): CommNetwork +static buildSite(String SiteName): Site <<ENUM>> Status ONLINE, OFFLINE public class DBConnect { public static Connection establishConnection() throws SQLException{ Connection conn = null; Properties connectProp = new Properties(); connectProp.put("dbms","mysql"); connectProp.put("user","root"); connectProp.put("password","root"); connectProp.put("useSSL","false"); String P1 = "jdbc:mysql://localhost:3306/"; conn = DriverManager.getConnection(P1,connectProp); return conn; } }.

Using the following UML please create this java code I spe.pdf

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Using the following UML please create this code ltAbstrac.pdf

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Using the following code: ##Install Packages !pip install tensorflow !pip install matplotlib !pip install numpy !pip install pandas ##Import Statements from datetime import datetime, timedelta import numpy as np import pandas as pd import matplotlib.pyplot as plt import tensorflow as tf ##Bringing in our dataset url= 'https://raw.githubusercontent.com/BeeDrHU/Introduction-to-Python-CSPC-323- /main/sales_forecast.csv' data = pd.read_csv(url, sep=',') ##Filtering and Cleaning data= data[['Store', 'Date', 'Temperature', 'Fuel_Price', 'CPI' , 'Unemployment', 'Weekly_Sales', 'IsHoliday_y']] data['Date'] = pd.to_datetime(data['Date'], format='%d/%m/%Y') data = data.set_index('Date') data = data.sort_index() ##Checklist and Quality Assurance data.isnull() print(f'Number of rows with missing values: {data.isnull().any(axis=1).mean()}') data.info() ##Subsetting variable to predict df= data['Weekly_Sales'] df.plot() ##Train and Test Split start_train = datetime(2010, 2, 5) end_train = datetime(2011, 12, 30) end_test = datetime(2012, 7, 13) msk_train = (data.index >= start_train) & (data.index <= end_train) msk_test = (data.index >= end_train) & (data.index <= end_test) df_train = df.loc[msk_train] df_test = df.loc[msk_test] df_train.plot() df_test.plot() ##Normalizing our data uni_data= df.values.astype(float) df_train= int(len(df_train)) uni_train_mean= uni_data[:df_train].mean() uni_train_std= uni_data[:df_train].std() uni_data= (uni_data-uni_train_mean)/uni_train_std ##Build the features dataset to make the model multivariate features_considered = ['Temperature', 'Fuel_Price', 'CPI'] features = data[features_considered] features.index = data.index ##Standardizing the Data dataset = features.values data_mean = dataset[:df_train].mean(axis=0) data_std = dataset[:df_train].std(axis=0) dataset = (dataset-data_mean)/data_std ##Splitting data into training and testing x_train = dataset[msk_train] y_train = uni_data[:df_train] x_test = dataset[msk_test] y_test = uni_data[df_train:] ##Defining the model architecture model = tf.keras.models.Sequential([ tf.keras.layers.Dense(64, activation='relu', input_shape=[x_train.shape[1]]), tf.keras.layers.Dense(64, activation='relu'), tf.keras.layers.Dense(1) ]) ##Compiling the model model.compile(optimizer=tf.keras.optimizers.RMSprop(), loss='mae') ##Fitting the model to the training data history = model.fit(x_train, y_train, epochs=100, batch_size=64, validation_split=0.2, verbose=0) ##Evaluating the model on the test data results = model.evaluate(x_test, y_test, verbose=0) print(f'Test loss: {results}') ##Making predictions on new data predictions = model.predict(x_test) ##Plotting the results fig, ax = plt.subplots(figsize=(10,5)) ax.plot(np.arange(len(y_test)), y_test, label='Actual') ax.plot(np.arange(len(predictions)), predictions, label='Predicted') ax.legend() plt.title('Actual vs Predicted Weekly Sales') plt.xlabel('Week') plt.ylabel('Normalized Sales') plt.show() *BUILD the RNN* ##Defining Function to Build.

Using the following code Install Packages pip install .pdf

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Using the code below: Part 1: Write a static method called LinkedListToStack that takes a Node reference as a parameter (which represents a linked list). Add every element in the linked list to a stack and return the stack. Part 2: Write a static method called avgOfNumbersInStack that takes a stack of Integer as a parameter. It will return a double value which is the average of all the numbers in the stack. package activity9; import java.util.Scanner; import java.util.*; public class StackPractice { public static Node listGenerator(int input) { int n; int count = 0; Random rand = new Random(); n = rand.nextInt(100); Node head = null; head = new Node(n); count++; while(count < input) { Node t1 = new Node(n = rand.nextInt(100), head); head = t1; count++; } return head; } public static void printLinkedList(Node input) { Node curr = input; while(curr != null) { System.out.println(curr.item); curr = curr.next; } } public static void main(String[] args) { Scanner kbd = new Scanner(System.in); int input = 0; System.out.print("Please enter the starting integer: "); input = Integer.parseInt(kbd.nextLine()); listGenerator(input); printLinkedList(listGenerator(input)); } }.

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