When the membrane potential of the initial segment reaches threshold, voltage-gated Na+ channels open, and Na+ moves __________ the cell causing __________.

During an action potential, when is membrane permeability to potassium the GREATEST?

Action potential propagation in a nonmyelinated axon is _______(fill in the blank), while propagation in myelinated axons is _______(fill in the blank).

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Q3: TEAL -type paragraph response  Scan through the slides. Explain a main takeaway or lasting effect of your reading so far. You may consider what your learned, felt, experienced or questioned.  Refer to a topic, question or aspect that Noah’s book made you ask or realize. The slide headings or topics may help and may also provide support.   The_Mechanics_of_Defiance.pptx Write a TEAL type paragraph with the topic sentence giving an outline of the main topic, realization or takeaway AND its effect on you as a reader. Then give your reasoning supported by specifics from the book.   G9 TEAL writing rubric Guidance – Scoring Rubric & Scaffold for Exam Paragraph aspect  Max Points Topic Sentence / claim: (connects learning/takeaway from Noah’s book to reader). 3 Evidence:  -minimum 2 references from the book  -evidence is ‘sandwiched’, not just floating alone, i.e. where does it happen, what is it  -analysis = how it proves the claim.  12  Linking or concluding sentences: echoes or refers back to claim, preferably different wording and possibly connects to theme or audience/society.  2 Language: academic style, present tense for analyzing, use of specific words like hubris, chorus etc., flow of ideas / transitions and range of vocabulary  5 Total  21  

Table 4: Transactions Dataset Table 4. Transaction dataset showing transaction IDs and itemsets for rule mining. Transaction ID Items Bought 1 {a, b, d, e} 2 {b, c, d} 3 {a, b, d, e} 4 {a, c, d, e} 5 {b, c, d, e} 6 {b, d, e} 7 {c, d} 8 {a, b, c} 9 {a, d, e} 10 {b, d}   Review the table labeled Table 4: Transactions Dataset. You are asked to use rule mining on the dataset. What is the confidence for the rule {d} → {b}?

Select all possible columns that can be set as class label for a data mining task. Table 1: Taxpayer Classification DatasetTable 1. Taxpayer dataset showing refund status, marital status, taxable income, and cheat classification. Tid Refund marital Status Taxable Income Cheat 1 Yes Single 125k No 2 No Married 100k No 3 No Single 70k No 4 Yes Married 120k No 5 No Divorced 95k Yes 6 No Married 60k No 7 Yes Divorced 220k No 8 No Single 95k Yes 9 No Married 75k No 10 No Single 90k Yes  

Table 2: Training Dataset for Car Ownership Table 2. Training dataset for predicting car ownership from employment, insurance, and marital status. Instance Employed Insured Marital Status Car Ownership 1 Yes No Single Yes 2 Yes Yes Single No 3 No No Married Yes 4 No Yes Single Yes 5 Yes Yes Married No 6 No No Single No Review the table labeled Table 2: Training Dataset for Car Ownership. Assume we want to use a decision tree to predict if a person owns a car or not. Using entropy as the measure of node impurity, what is the information gain if the split is done on the attribute of being employed?

Table 6: Training Dataset for Car Type Table 6. Training dataset for predicting car type from work years and college years. Instance Work Years College Years Car Type 1 4 5.5 Hybrid 2 5 3 Sports 3 4 3.5 Luxury 4 3.5 4.5 Family 5 5 4 Hybrid 6 1 4 Sports 7 4 6 Luxury 8 6 4 Family 9 3 3 Hybrid 10 4.5 4 Sports 11 3 2 Luxury 12 4 2 Family Review the table labeled Table 6: Training Dataset for Car Type. You decide to use the K-Nearest Neighbors (KNN) model on the dataset to predict car type. Your friend worked for 4 years and attended college for 4 years. If K is set to 7 and the model uses Euclidean distance, which car type will be predicted for your friend?

Table 3: Second Dataset for X and Y Table 3. Dataset showing point numbers and X and Y values for K-means clustering. Point X Y 1 1 3 2 2 2 3 6 7 4 2.5 3.5 5 4 2 6 3 5 7 1 1 8 2 2 9 5 6 10 4 4 11 5.5 2.5   Review the table labeled Table 3: Second Dataset for X and Y. You decide to use the K-means algorithm on the dataset: K is set to 3 and, initially, Point 5 is the first centroid, Point 6 is the second centroid, and Point 7 is the third centroid. Using Euclidean distance measure, what are the clusters after the first iteration?