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vicente robinson

vicente r.

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Lower-of-Cost-or-Market Method On the basis of the following data, determine the value of the inventory at the lower-of-cost-or-market by applying lower-of-cost-or-market to each inventory item, as shown in Exhibit 10. Market Value per Unit Item Inventory Quantity Cost per Unit (Net Realizable Value) JFW1 6,330 $10 $11 SAW9 1,140 36 34

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002H H e v H HO CH3 HO- H?OC CH3 Br Br d v OH OH HO?C HO?C CO?H e v HH H H CH3 d v CH3 OH OH CH3 a. identical b. no relationship to each other c. constitutional isomers d. enantiomers e. diastereomers CO?H HH H OH HO H CH3

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Other Acellular Infectious Agents Drag and drop the correct term to complete each sentence. 1. are subviral agents that are dependent on other viruses. 2. are circular pieces of infectious RNA that infect plants and fungi. 3. are infectious proteinaceous particles that cause proteins to misfold.

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Each node below corresponds to the Tepuihyla frog phylogeny to the right. Osteocephalus frogs are used as an outgroup. Divergence time estimates (top) for each node is in millions of years. Node 1, Node 2, Node 3, Node 4, Node 5, Node 6 0.7, 32, 4, 1, 5.3, 80.2, 90.7 Osteocephalus frogs are a lowland species in the Amazon basin and it's believed their common ancestor with Tepuihyla was also a lowland taxa. A recent study explored various biogeographic hypotheses to explain how Tepuihyla and Osteocephalus frogs diverged and how different species of Tepuihyla frogs diverged on different tepuis. Which explanation is best supported from the molecular phylogenetic result? Tepuihyla frogs diverged from Osteocephalus frogs around 80 Ma in the lowlands and then Tepuihyla frogs dispersed onto the Tepuis much later. Tepuihyla frogs diverged from Osteocephalus frogs around 80 Ma in the lowlands and then fragmentation of the Tepuis caused diversification within the Tepuihyla clade. Tepuihyla frogs became fragmented from Osteocephalus frogs around 80 Ma after both were living on the larger ancestral Tepui. Later, Tepuihyla frogs dispersed onto the Tepuis. Tepuihyla frogs became fragmented from Osteocephalus frogs around 80 Ma after both were living on the larger ancestral Tepui. The fragmentation of the Tepuis also caused diversification within the Tepuihyla clade. Each node below corresponds to the Tepuihyla frog phylogeny to the right. Osteocephalus frogs are used as an outgroup. Divergence time estimates (top) for each node is in millions of years. Node 1, Node 2, Node 3, Node 4, Node 5, Node 6 0.7, 32, 4.1, 5.3, 80.2, 90.7 Osteocephalus: O. exophthalmus, O. taocii, O. tedelcae (Au), O. tedecae (Ch), T. rodriguezi, T. talbergae Tepuis are isolated table-top mountains (or mesas) found in the Guiana Highlands of South America. Tepuis were once connected and became fragmented between 70-100 million years ago (Ma). Fragmentation 100.0 90.0 80.0 70.0 60.0 50.0 40.0 30.0 20.0 10.0 0.0 Ma Osteocephalus frogs are a lowland species in the Amazon basin and it's believed their common ancestor with Tepuihyla was also a lowland taxa. A recent study explored various biogeographic hypotheses to explain how Tepuihyla and Osteocephalus frogs diverged and how different species of Tepuihyla frogs diverged on different tepuis. Which explanation is best supported from the molecular phylogenetic result? Tepuihyla frogs diverged from Osteocephalus frogs around 80 Ma in the lowlands and then Tepuihyla frogs dispersed onto the Tepuis much later. Tepuihyla frogs diverged from Osteocephalus frogs around 80 Ma in the lowlands and then fragmentation of the Tepuis caused diversification within the Tepuihyla clade. Tepuihyla frogs became fragmented from Osteocephalus frogs around 80 Ma after both were living on the larger ancestral Tepui. Later, Tepuihyla frogs dispersed onto the Tepuis. The larger ancestral Tepui. The fragmentation of the Tepuis also caused diversification within the Tepuihyla clade.

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Texts: Find a confidence interval for μ assuming that each sample is from a normal population. (Round the value of t to 3 decimal places and your final answers to 2 decimal places.) (a) x̄ = 26, s = 5, n = 9, 90 percent confidence. (b) x̄ = 46, s = 7, n = 20, 99 percent confidence. (c) x̄ = 112, s = 20, n = 25, 95 percent confidence.

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*1. Consider a data generation model $x_n = \sum_{k=0}^{N-1} c_k e^{-j \frac{2 \pi kn}{N}}$, $n = 0, \dots, N - 1$. (a) Write the above equation in matrix-vector form $x = Wc$. What are the vectors $c$ and $x$, and what is the matrix $W$? (b) Show that $W$ is orthogonal, i.e., $W^H W = I$, where $W^H$ is the conjugate transpose of $W$. (c) Using (b), derive the least squares regression solution.

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The MATLAB code below is used to create a truncated lowpass filter. n = (-20:20); myFilt = sin(n*5*pi/8)./ (pi*n); If the sample rate is 20 kHz, what is the cutoff frequency in Hz? Express your answer to the nearest Hz.

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f. Chewing muscles helps in chewing are temporalis, medial pterygoid, lateral pterygoid, and masseter g. Swallowing muscles help in swallowing are suprahyoid and muscles (pharynx is pulled upward and forward) the stylopharyngeus, salpinopharyngeus, palatopharyngeus and thyroid muscles h. Nodding the head "yes i. Shaking the head "no" j. Tilting the head to look up toward the sky k. Tilt the head to the side (bring the ear to the shoulder) 3. Bell's Palsy results from damage to the facial nerves. If innervation to the facial nerves ceased, which muscles would be affected? Which actions of the face would be affected?

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A mass $m$ is attached to two springs with spring constants $k_1$ and $k_2$ and a damper with damping coefficient $c$. An external force $F$ is applied to the mass. The displacement of the mass is denoted by $x$. Draw the free body diagram and derive the equation of motion for the system.

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State three major differences between Dijkstra's centralized algorithm and Ford's distributed algorithm for shortest path message routing. Consider the following network. Using Dijkstra's general-purpose routing algorithm for the shortest route, calculate the shortest route from the nodes 1, 3, and 5 to all other nodes. April 30, 2019 3/3 The costs of data transportation are given as (1, 2) = 10, (1, 4) = 30, (2, 5) = 100, (2, 3) = 50, (2, 4) = 2, (3, 5) = 10, (4, 3) = 20, and (4, 5) = 60. The Dijkstra's algorithm, as given, finds the shortest route from the source node (say s) to all other nodes by repeatedly selecting an intermediate node w and exploring if it is cheaper to route from s to n via an intermediate node w instead of directly to n, and if so then update the minimum cost matrix C and the minimum route matrix P. Note that A(i, j) is a 2-dimensional nxn matrix of costs of links. (1) (2) (3) (4) (5) (9) (7) (8) M := {s} for each n in (N - M) do --- C(n) := A(s, n) while not (N = M) do BEGIN M := M + {w} where w is in (N - M) such that C(w) is minimum; for each n in (N - M) do --- BEGIN C(n) := MIN(C(n), C(w) + A(w, n)); P(n) := w END END Now, complete the following table for the nodes 1, 3, and 5. ..* ...

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