In a democracy- politicians may be shortsighted because they want to w.docx

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In a democracy, politicians may be shortsighted because they want to win reelection. Therefore, the political process can: I. add an inflationary bias to monetary policy II. add a deflationary bias to monetary policy III. generate a political business cycle in which expansionary policies are pursued to lower unemployment and interest rates just prior to an election A. II and III only B. I only C. III only D. I and III only E. I, II, and III .

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In a large population- 51- of the people have been vaccinated- If 4 pe.docx

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In a certain city, the daily consumption of water (in millions of liters) follows approximately a gamma distribution with = 3 and = 2 . If the daily capacity of that city is 14 million liters of water, what is the probability that on any given day the water supply is inadequate? Click the icon to view the incomplete Gamma Function table: The probability is (Round to three decimal places as needed) .

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In a certain geographic location 15- of individuals have disease A- 15.docx

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In 2014, the General Social Survey incuded a question about the role of large businesss in the community, Out of 1203,217 said that they strongly agreed that lagee interizional busineses inee? hurting local businesses. The General Social Sunvey uses a method simiar to a simple endoms sipte to randomly select adults living in the U S . The 95% confidence interval was ( 0.16 , 0.20 ) . Is this interpretation correct? "There is a 95% probability that the population proportion is between 0.16 and 020. This is correct interpretation. .

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In 1993, when Fischer began his tenure at Kodak, the film industry was evolving from one type of change which was slow to another which was very rapid-which type was it evolving to? Creative: Radical Progressive Internodiating QUESTION 14 The film industry's assets and fore activities were not highly affected by extemal forees over much of the time period leading up to the emergence of digital photography, what type of change was this? Radical Creative Progressive Intermediating .

In 1993- when Fischer began his tenure at Kodak- the film industry was.docx

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In search engines analyzes the sequences of search queries to identif.docx

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import os import matplotlib.pyplot as plt import pandas as pd import random import string from numpy.random import default_rng import datetime def run(low=None, high=None, number_values=None): """ 'main' function for hw1 lecture creates some data then saves it in a folder """ # User enters low, high, n integer print("Creating random data.") if type(low) != int: while(True): low = input("Please enter lowest possible value as integer:\n") low_int = confirm_integer(low) if low_int: break else: continue else: low_int = low if type(high) != int: while(True): high = input("Please enter highest possible value as integer:\n") high_int = confirm_integer(high) if high_int: break else: continue else: high_int = high if type(number_values) != int: while(True): n = input("Please enter number of values to create:\n") n_int = confirm_integer(n) if n_int: break else: continue else: n_int = number_values random_df = make_random_df(low_int, high_int, n_int) # make output dir local_dir = os.getcwd() output_dir = os.path.join(local_dir, "Random_Files") # complete path to new folder try: os.mkdir(output_dir) # make folder except FileExistsError: pass # Do nothing if folder exists output_df_os_mod_examples(random_df, output_dir) def confirm_integer(input_val): """ Converts input val to integer, returns False if exception :param input_val: :return: integer or False """ try: convert_int = int(input_val) except Exception as e: print("invalid integer") return False return convert_int def make_random_df(lower_int, upper_int, number_idx): """ Creates Random DataFrame from bounds [lower_int, upper_int]. Creates 5 column DataFrame [Integers, Floads, Random Ascii (Ul#), Random Ascii (l), Random Ascii (U#)] number_idx rows :param lower_int: lower bounds for random integers :param upper_int: upper bounds for random integers :param number_idx: number of random_df index :return: rand_df: Pandas Dataframe (5 cols) number_idx rows """ # create n random data rng = default_rng() ints = rng.integers(low=lower_int, high=upper_int, size=number_idx) floats = ints * rng.random() # multiply integers by random float [0,1] # create some characters rand_upper_lower_digit = random.choices(string.ascii_letters + string.digits, k=number_idx) rand_lower = random.choices(string.ascii_lowercase, k=number_idx) rand_upper_digit = random.choices(string.ascii_uppercase + string.digits, k=number_idx) # make dataframe rand_df_dict = { "Integers": ints, "Floats": floats, "Random Ascii (Ul#)": rand_upper_lower_digit, "Random Ascii (l)": rand_lower, "Random Ascii (U#)": rand_upper_digit } rand_df = pd.DataFrame.from_dict(rand_df_dict, orient='columns') return rand_df def output_df_os_mod_examples(random_df, output_dir): """ Output dataframe in many file types. Examples of os and os.path :param random_df: pandasDataFrame cols:[Integers, Floads, Random Ascii (Ul#), Random Ascii (l), Random Ascii (U#)] :param output_dir: path of output folder, exists==True :return: None """ cwd = os.getcwd() files = os..

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Implement the Plates class buildMap function so that it populates the HashMap with the state abbreviations as keys and the counts of how many each appear in the file as values. Sometimes, the parking attendant will add special notation to help her remember something about a specific entry. There are just non alphabetic characters that she adds to the state - your program should ignore these characters so that an entry like NY* still counts toward the NY plate count. She is also very inconsistent with how she enters the plates. Sometimes she uses upper case, sometimes lowercase, and sometimes she even uses a mix. Be sure to account for this in your program. Only add information for plates in New England (Maine, New Hampshire, Vermont, Massachusetts, Rhode Island, and Connecticut). Plates.java import java.util.Arrays; import java.util.HashMap; import java.util.HashSet; import java.util.Map; import java.util.Set; public class Plates { private Map<String, Integer> plateMap; private Set<String> validStates; public Plates() { plateMap = new HashMap<>(); validStates = new HashSet<>(Arrays.asList("CT", "MA", "ME", "NY", "RI", "VT")); } public void buildMap(String filePath) { // Implement me... } public void printCounts() { System.out.println("Number of Plates: " + plateMap.keySet().size()); for (Map.Entry<String, Integer> entry : plateMap.entrySet()) System.out.printf("%s -> %s%n", entry.getKey(), entry.getValue()); } } Main.java public class Main { public static void main(String[] args) { Plates main = new Plates(); main.buildMap(); main.printCounts(); /* * The output should be: * * Number of Plates: 6 * MA -> 2 * ME -> 3 * CT -> 1 * NY -> 5 * RI -> 5 * VT -> 1 */ } } plates.txt vt ma ME nY, NY me CA nE Ct NJ- WA MA ri me ny ny NY *Nj billnye mAr $RI% Ri ir RI .

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Implement these classes and a interface in 3 Java programs: Class 1: Track(String trackName, String[] musicians, int durSecs) - The constructor creates a track object. String gettrackName() - Accessor for the track name String[] getMusicians() - Accessor for the list of musicians int getDurSecs() - Accessor for the duration of the track Class 2: InfTracklist(String trackName) -- Create a track list with the given name String gettrackName() - Return the name of the track list int num() -- Return the number of tracks in the track list Track start() - Return the current track, and then move the current track to the next item in the list (plays current track, then moves to the next track) void add(Track track) - Add a new track to be the next track The track list works with an iterator interface called TrackIterator, so that the user can move forward or backwards through the list without changing the currently playing track. The track list exports these public methods that use an iterator. TrackIterator iterator() - This returns an instance of a TrackIterator starting from the current track. void reset(TrackIterator it) - Set playback to start from the track pointed to by the track iterator void remove(TrackIterator it) - Remove the track pointed to by the iterator. If the current track is pointed to by the iterator, set it to the next track, or null if there are no more tracks. TrackIterator: The TrackIterator interface represents an iterator that allows you to move through the list from the current point. The Zune uses this to allow you to move through tracks forwards and backwards. The iterator's abstract methods are: Track current() -- Get the current track that the iterator is pointing to void next() - Advance the iteration void previous() - Move backwards in the iteration Since the iterator is defined as an interface in TrackIterator.java, you have to provide a concrete implementation of this interface for your iterator. Provide your own concrete class that implements TrackIterator. Create your iterator implementation as a (non-public) class inside InfTracklist.java. Call it anything you want. Stylistically, a lot of people append "Impl" to their classes that implement an interface, so you could call it TrackIteratorImpl, for example. Casting is the process of converting one type to another. In the program, the InfTracklist.remove(TrackIterator it) method takes a TrackIterator as an argument. That's great, except that TrackIterator is an interface. You really need the class that implements the TrackIterator, which is TrackIteratorImpl. However the argument is of type TrackIterator. So how do we change a TrackIterator to a TrackIteratorImpl? Inside the remove function, we can cast it, like this: TrackIteratorImpl itImpl = (TrackIteratorImpl) it Now we have a itImpl variable that we can use. .

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Implement the following in my java program which is written under the requirements: When a new member joins, the server will check if it is the first member. If it is, the member will be informed and become the coordinator. If not, the member will request details of existing members from the server and receive everyone's IDs, IP addresses, and ports, including the current group coordinator. The new member will then contact everyone through the server to let them know that they can update their set of members to include the new member. If some members do not respond, the new member will inform the server, and the server will inform other members to update their local list of existing members. If the coordinator does not respond, any new member will become the coordinator. The coordinator will maintain the state of group members by checking periodically how many of them are not responding and inform active members about it so they can update their state of members. Implement a messaging system for members to send private or broadcast messages to every other member through the server. Print out messages sent to and by the members. Allow the program to run either automatically or manually. In the former case, simulate the task automatically without accepting any input parameters from users. In the latter case, the program will require user input to simulate the task. My java program code: import java.awt.BorderLayout; import java.awt.event.ActionEvent; import java.awt.event.ActionListener; import java.io.BufferedReader; import java.io.IOException; import java.io.InputStreamReader; import java.io.PrintWriter; import java.net.ServerSocket; import java.net.Socket; import java.util.ArrayList; import java.util.List; import java.util.UUID; import javax.swing.JButton; import javax.swing.JFrame; import javax.swing.JLabel; import javax.swing.JOptionPane; import javax.swing.JPanel; import javax.swing.JTextField; public class MemberServer { private JFrame frame; private JTextField idField; private JTextField ipField; private JTextField portField; private JLabel statusLabel; private static ServerSocket serverSocket; private boolean isRunning; // Frame 1 public MemberServer() { frame = new JFrame("Member Server"); frame.setLayout(new BorderLayout()); JPanel panel = new JPanel(); panel.setLayout(null); JLabel idLabel = new JLabel("ID:"); idLabel.setBounds(10, 10, 100, 25); panel.add(idLabel); idField = new JTextField(); idField.setBounds(120, 10, 165, 25); panel.add(idField); JLabel ipLabel = new JLabel("IP Address:"); ipLabel.setBounds(10, 40, 100, 25); panel.add(ipLabel); ipField = new JTextField(); ipField.setBounds(120, 40, 165, 25); panel.add(ipField); JLabel portLabel = new JLabel("Port:"); portLabel.setBounds(10, 70, 100, 25); panel.add(portLabel); portField = new JTextField(); portField.setBounds(120, 70, 165, 25); panel.add(portField); // Start Button JButton startButton = new JButton("Start Server"); startButton.setBounds(10, 100, 125, 25); startButt.

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Immature neutrophils released from the bone marrow in response to infection are known as: segmented neutrophils band cells myelocytes reticulocytes The following statement about reticulocytes is false: Reticulocytes mature into erythrocytes within 1 to 2 days. As they mature, their capacity for hemoglobin synthesis stops. They have a distinct nucleus. Their count is an indicator of erythropoietic activity. In hemostasis, which of the following comes first? coagulation cascade activation thrombolysis formation of fibrin platelet activation .

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Imagine you have a gram negative pathogen that uses many different secretion systems. Looking at the diagram below - there are so many secretion systems! Use the information we covered in class, and what you know about how each secretion system works to match the secreted protein to the system. Secpathway Type II A toxin to k all a neighboring bacterial cell An enzyme to degrade the macromolecule cellulose An effector that modifies host cell biology A protein that modifies peptidaglycan cross-linking in the periplasen Type IV secretion A toxin to kill a nelgnboring t Type Vi .

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Imagine I conduct a study in which I test the effectiveness of music listening on running speed. One group of participants listens to a song of my choosing while they run, and another group of participants listens to no music while they run. (4 points) What is my independent variable? What is my dependent variable? What kind of statistical analysis would I use to determine the difference in running speed between these two groups? What is the null hypothesis in this scenario? .

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Imagine that a mutant strain of Drosophila undergoes crossing over at half the normal rate. How would a genetic map prepared for this mutant differ from a genetic map prepared for a normal (wild type) fly? Imagine that a mutant strain of Drosophila undergoes crossing over at half the normal rate. How would a genetic map prepared for this mutant differ from a genetic map prepared for a normal (wild type) fly?The order of genes would be the same in both strains, but the distances measured between genes in the mutant would be half those of the wild type.The distances between genes would be the same in both strains, but gene order in the mutant strain would be a mirror image of the gene order of the wild type.The maps would not differ.Both gene order and distance would be scrambled in the mutant relative to the wild type. .

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