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...An Auctioning Reputation System Based on Anomaly Detection
Shai Rubin Mihai Christodorescu Jonathon T. Gifn Louis Kruger Vinod Ganapathy Hao Wang
Computer Sciences Department University of Wisconsin, Madison
{shai, mihai, vg, gifn, lpkruger, hbwang}...
...On the Eects of Stock Spam E-mails
Michael Hanke Florian Hauser , August 30, 2006
Abstract A rising number of unsolicited e-mails recommends buying certain stocks, pretending that the sender has private information that will boost these stocks price...
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...A Crawler-based Study of Spyware on the Web
Alexander Moshchuk, Tanya Bragin, Steven D. Gribble, and Henry M. Levy Department of Computer Science & Engineering University of Washington
{anm, tbragin, gribble, levy}@cs.washington.edu
Abstract
Malicio...
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Eco Skelton 3301 Homework 4 Answers 1. A) This increases MC, so it will impact price. B) This is equivalent to part A; either one increases (marginal) production costs, so price is affected. C) This is a fixed cost, so it has no impact unless it drives the business to shut down. D) This is different than part C because it impacts all restaurants. So, for Upton, it could cause him to shut down. Also, if it causes other restaurants to close, then it would increase the demand for Upton s restaurant and allow him to raise prices. E) This cost is sunk so will have absolutely no impact on the restaurant. F) This will cause a decrease in demand and therefore quantity and price will fall as well (along with marginal revenue). 2. If the benefits are still $1.5 billion and the cost of continuing is $1.2 billion then the project should be completed. 3. Plan A affects variable cost and therefore price. Plan B affects a fixed cost and hence does not affect price. The patients will benefit from Plan A but not Plan B. 4. In this case, the firm could increase the number of hours worked (or employees hired, depending on how you interpret the question) and decrease capital (until MRTS = w/r). They could spend the same amount of money but increase output. The obvious reason for doing so is that they could produce more output for the same cost, which would increase profit. The MRTS is defined as the ratio of the marginal two products (MRTS = MPL/MPK). Here, we are given the marginal product of labor and the MRTS. So, we solve for .25 = 50/MPK, so the marginal product of capital is 200 chips per hour. The isoquant identifies all the combinations of the two inputs which can produce the same level of output. The slope of the isoquant at any given point measures the curvature of the isoquant. The slope of the isoquant measures the rate at which the two inputs can be exchanged and still keep output constant, called the marginal rate of technical substitution. Along the typical, convex (or bowed in ) isoquant, the MRTS diminishes as you move down along the isoquant. Just like we discussed in class, this mirrors the analysis of diminishing MRS for indifference curves. 5. 6. 7. A) They are hyperbolas with equations K*L = 1, 4, 9, 16 B) Total output would be 10 and the MRTS would be 6.25 (capital of 25 divided by labor of 4) C) Short-run cost = 25 + 4L; long-run cost = K + 4L D) The firm will hire 5 workers and 20 units of capital. Total long-run cost will be $40, compared to short-run cost of $41. Obviously, by decreasing the amount of capital, total costs have decreased (not surprising because MRTS was not equal to w/r in the shortrun). E) Constant you can see this by setting K=L=1 and then K=L=4. This results in quantity rising from 1 to 4; we ve quadrupled inputs and exactly quadrupled output.
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Cal Poly >> CRP >> 404 (Spring, 2008)
690 SIERRA CLUB v. WEST SIDE IRRIGATION DIST. 128 Cal.App.4th 690; 27 Cal.Rptr.3d 223 [Mar. 2005] [No. C044989. Third Dist. Mar. 22, 2005.] SIERRA CLUB, Plaintiff and Appellant, v. THE WEST SIDE IRRIGATION DISTRICT et al., Defendants and Respondent...
Cal Poly >> CE >> 381 (Spring, 2008)
...
Cal Poly >> CRP >> 404 (Spring, 2008)
Brian Fleck Page 1 Final CRP 404 10/2/2008 Part 1 Essay #2 Assuming that I am the U.S. Attorney for the Northern District of California, I would choose not to prosecute the company as a whole, and allow for private civil suits to be filed. In att...
UVA >> ECON >> 421 (Spring, 2007)
Econ Final Review Credit constraints can lead to under investment in both physical and human capital. Agricultural subsidies in the US and the EU do not reduce the incentive for LDCs to invest in manufacturing. Monopsony hiring practices may lea...
UVA >> PLAP >> 220 (Spring, 2007)
Midterm Examination Question: What is classical budgeting and what happened to it? Consider incrementalism and the theories of budgeting that critiqued and followed it, taking into account actual changes in budgeting practices that reflected these th...
UVA >> STAT >> 212 (Spring, 2007)
If we draw a random sample from a normal distribution population: The sample mean is not equal to the sample median The sample mean is not always equal to the population mean The sample variance is not always larger than the popul...
UVA >> PLCP >> 212 (Spring, 2007)
Theories of development, 1-16 Development means using the productive resources of society to improve the living conditions of the poorest people Differs from econ growth because pays attention to the conditions of production and social consequences E...
UVA >> PLCP >> 212 (Spring, 2007)
PLCP 212 Final Review Major themes covered: Inequalities, Gender, and Ecology The Social Structure and the Problem of Social Equality Population, Women, and Development Development and Ecology The World Economy Development or Underdevelopment...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 1 (1) This problem can be solved using a greedy algorithm which always attempts to place the next cell phone tower as far east as possible without leaving a house uncovered. The algorithm ...
Cornell >> CS >> 482 (Spring, 2008)
18 2/25/08 - The Ford-Fulkerson algorith. reminders from Fri. Flow network is G = (V, E) directed with s, t V, ce 0 e Flow is f: E -> |R+ such that f(e) ce, n(v) = fout(v) (v s, t) Value of ow is v(f) = fout(s) Cut is a partition V = A A with s...
Cornell >> CS >> 478 (Spring, 2008)
CS 478 Machine Learning: Homework 4 Suggested Solutions 1 The Na Bayes Independence Assumption ve P (X = (0, 1, 1, 1, 1) | Y = +1) P (X1 = 0, X2 = 1, X3 = 1, X4 = 1, X5 = 1 | Y = +1) P (X1 = 0, X2 = 1 | Y = +1) P (X1 = 0 | Y = +1)P (X2 = 1 | Y = +...
Cornell >> CS >> 478 (Spring, 2008)
CS 478 Machine Learning: Homework 5 Suggested Solutions 1 The Viterbi Algorithm is (rain, rain, snow). skiing 0.00144 0.000432 0.000288 0.00216 (a) The most likely sequence of weather running programming sunny 0.12 0.0108 0.18 0.0108 rain cloudy ...
Cornell >> CS >> 482 (Spring, 2008)
4 1/23/08 - Stable Matching, part 2. Lecture: Stable matching, part 2. Gale-Shapley Algorithm /* Init. */ All men and women are free. /* main loop */ while a free man m Assert: there exists a woman w that m hasnt proposed to. Let w be the highest-r...
Cornell >> CS >> 478 (Spring, 2008)
CS 478 Machine Learning: Homework 3 Suggested Solutions 1 SVM inside-out, the Primal (15 points) (a) It is easy to check that for the soft margin SVM, w = 0, = 1 is always a feasible solution. All the constraints are satised. (b) Consider the it...
Cornell >> CS >> 482 (Spring, 2008)
20 2/29/08 - The preow-push algorithm. The Preow-Push Algorithm Def. A preow in a ow network is a function f: E -> + s.t. (i) 0 f(e) ce (ii) v s eIn(v)f(e) - eOut(v)f(e) =: ef(v) 0 excess at v Def. A labeling is a function h: V -> 0 . It is com...
Cornell >> CS >> 482 (Spring, 2008)
26 3/14/08 - The Cook-Levin Theorem Today: The Cook-Levin Theorem (3SAT is NP-complete) Step 1: 4SAT p 3SAT p? 2SAT (no reduction to 2SAT) <- p Given 4SAT instance (x1 x2 x3 x4) (x2 x4 x5 x6) (x1 x2 z1) (z1 x3 x4) (x2 x4 z2) (z2 x5...
Cornell >> CS >> 482 (Spring, 2008)
27 3/24/08 - NP-complete sequencing pro. NP: problems whose solution can be eficiently (poly-time) veried. Ex: Compositeness: Given n-bit number x, in x composite? Hint: a pair y,z > 1 such that yz = x. NP-Complete: a problem X which is in NP and ev...
Cornell >> CS >> 482 (Spring, 2008)
28 3/26/08 - NP-complete partitioning pro. Reduction from 3SAT to HAM. CYCLE Theorem. HAM CYCLE is NP-Complete Proof. (1) Its in NP. Show me the cycle, and I can verify it in O(n) time. (2) The reduction runs in poly(n) time. Let b = length of each ...
Cornell >> CS >> 482 (Spring, 2008)
29 3/28/08 - NP-complete coloring proble. NP-complete problems 3SAT, k-SAT (k > 3) IND. SET CLIQUE VERTEX COVER HAMILTONIAN PATH/CYCLE TRAV. SALES. PROB. Reduce FROM . TO (e.g. set cover) if you could use set cover to solve trav salesman in poly tim...
Cornell >> CS >> 482 (Spring, 2008)
11 2/8/08 - Divide and conquer algorithms. Lecture: Divide and conquer algorithms in computational geometry: nding the closest pair of points Reading: Chapter 5.4 cs482-02-08-08-Audio.mp4 Closest pair of points Given n numbers x1, x2, . , xn Find i,...
Cornell >> CS >> 478 (Spring, 2008)
CS 478 Machine Learning: Homework 2 Suggested Solutions 1 Separable or Not? (a) See the following tree: (b) If we draw a large enough sample, there would be at least two points on each of the four positions. Since there is no noise in the label,...
Cornell >> CS >> 478 (Spring, 2008)
CS 478 Machine Learning: Homework 1 Suggested Solutions 1 kNN Decision Boundaries (a) (b) (c) It would be classied as circle. Adding one point is enough, say a cross at exactly (1,-1). (d) It would be classied as circle. The ve closest points ar...
Cornell >> CS >> 482 (Spring, 2008)
13 2/13/08 - Computing RNA secondary str. RNA: a single-stranded molecule made up of {A, C, G, U} Secondary structure: certain base pairs on same molecule match up Constraints: (i) A pairs only with U C pairs only with G U pairs only with A G pairs ...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 9 (1) Let T be the number of trucks used by the algorithm, and suppose the trucks are labeled 1, 2, . . . , T in the order that the algorithm loads them up. Observe that for i = 1, 2, . . ...
Cornell >> CS >> 482 (Spring, 2008)
30 3/31/08 - NP-complete numerical probl. NP-Complete Problems 3SAT Vtx Cover Indep. Set (even in deg 3) Clique Hamiltonian Path Set cover/packing Traveling salesman 3D matching Subset Sum. 3-D Matching Given sets X, Y, Z, with n elts each. Given 3...
Cornell >> LING >> 404 (Spring, 2008)
4 1/23/08 - Case Theory; distribution of PRO 4 levels of structure D structure move S-structure move LF PF For next week: read rst 2 chapters Londau D-Structure and S-structure connected by move-alpha Passive: _ was arrested John Johni was arrest...
Cornell >> LING >> 404 (Spring, 2008)
5 1/28/08 - Binding Theory The binding theory divides into three types of things anaphors, pronouns, R-expressions The binding theory has three conditions. A. An anaphor must be bound in its governing category. C-Command condition: *Himselfi pinche...
Cornell >> LING >> 404 (Spring, 2008)
6 1/30/08 - PRO Reformulated the Case Filter as Visibility Condition New problem: It is still the case that it is not possible for PRO to occur in a nonCase position. Just restating the Case Filter doesnt entirely solve the problems, because we stil...
Cornell >> LING >> 404 (Spring, 2008)
8 2/11/08 - pro ling404-02-11-08-Audio.mp4 PRO [-a, +p] John spoke. He spoke. *spoke. Italian: (Gianni) ha parlato. Empty pronominal element. Johni said [that hei spoke.] Giannii ha detto che ei parlato pro <Gianni,pro> cannot form a chain. wh-trace...
Cornell >> LING >> 404 (Spring, 2008)
9 2/13/08 - more pro What can we do about languages where there is no morphology to tell us about pro? e.g. Chinese ability to drop subject in presence of rich morphology. BUT in Chinese etc. no morphology at all - what licenses dropping subject? Yo...
Cornell >> LING >> 404 (Spring, 2008)
10 2/18/08 - A-Movement We have been mainly talking so far about A-movement movement of subjects and objects into the subject position. A movement exemplied by wh-movement I wonder [who John talked to _ ] embedded clause - the who winds up to the le...
Cornell >> LING >> 404 (Spring, 2008)
11 2/20/08 - Subjacency Homework back on Monday - also new hw due Ross Island Constraint Want to derive binding constraints from a more general principle Chomsky: Subjacency attempts to unify a subset of the constraints allows us to dispense with th...
Cornell >> LING >> 404 (Spring, 2008)
12 3/3/08 - Relativized Minimality Trace eect you cant extract out of a subject position when there is an overt complementizer Chomsky introduces new barrier Minimality barrier X can sometimes be barriers Who did you say [t [C that t read the book ...
Cornell >> CS >> 482 (Spring, 2008)
Solution Set for CS 482, Prelim 2 April 8, 2008 Questions in red, solutions in black. PROBLEM 1 (20 points) PART A (15 points) Find a maximum flow and minimum s-t cut in the flow network G shown here. The source and sink are s and t, respectively. Th...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 2 (1) The algorithm restores the websites in decreasing order of ci /ti , where ci is the rate of lost dollars per hour for site i, and ti is the number of hours to nish the job. Analysis ...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 3 (1) We describe an algorithm Test(S) whose input is a set S of bank cards and whose output is: a bank card x S such that more than half the elements of S are equivalent to x, if any su...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 3 (1) (a) Heres a counterexample in which n = 3. Week 1 Week 2 Week 3 1 1 1 0 3 10 i hi The optimal solution picks the low-stress job in week 1 and the high-stress job in week 3. The gr...
Cornell >> CS >> 482 (Spring, 2008)
38 4/21/08 - Randomized algorithms Randomized Algorithms Review Ch. 13.12, read 13.1 - 6. A probability space consists of a sample set (nite in CS 482) and a probability 0 Pr(x) 1 for every x , s.t. x(x) = 1. Examples. Flipping coin n times = {...
Cornell >> CS >> 482 (Spring, 2008)
CS 482 FINAL EXAM SOLUTION SET (1) (10 points) Each of the following statements is false. Give a counterexample to each of them. (1a) (5 points) If G is any graph with non-negative edge costs, and e is any edge such that every minimum-cost spanning...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 7 (1) First, we prove that Party Invitation is in NP. There is a polynomial-time verier that takes an instance I of Party Invitation consisting of numbers n, k, lists Pi (1 i k), and va...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 5 (1) (a) If e is contained in a min-cut (A, B), let C be the capacity of this cut. Every max-ow f has value v(f ) = C, and such a ow must saturate every edge of the min-cut, including edg...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 6 (1) (a) To compute whether the blood on hand meets the projected demand, one can construct a ow network with 10 vertices. A super-source s. For each blood type x, a pair of vertices ux...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 8 (1) The algorithm resembles the Greedy-Balance algorithm given in Section 11.1. For each machine Mi , we maintain a variable Ti which keeps tracks of the total amount of time required fo...
Cornell >> CS >> 4410 (Fall, 2008)
CS4410 - Fall 2008 Assignment 1 Solution Q1. Give three examples of an explicit hardware mechanism that is motivated by specific OS services. Answer: Atomic operations for synchronization. Kernel/user mode, base/limit registers, protected instruction...
Cornell >> CS >> 4410 (Fall, 2008)
CS4410 - Fall 2008 Homework 2 Solution Due September 23, 11:59PM Q1. Explain what goes wrong in the following version of Dekkers Algorithm: CSEnter(int i) { inside[i] = true; while(inside[j]) { inside[i] = false; while(turn = j) continue; inside[i] =...
Cornell >> CS >> 482 (Spring, 2008)
17 2/22/08 - Introduction to network ow Network Flow Def: A ow network is a directed graph G = (V, E) with edge capacities ce (e E), ce 0 (usually integers) vertices s (source), t (sink) Notations: A vertex v s, t is an internal node. In(v) = {e...
Cornell >> CS >> 482 (Spring, 2008)
16 2/20/08 - Review of dynamic programm. Chapter 6, Problems 4, 5, 11 Prelim tomorrow 7:30-9, Upson B17 Chapter 1, 4, 5, 6 Design techniques Greedy, Divide and Conquer, Dynamic Programming Key algorithms Gale-Shapley, Kruskal, Prim, Bellman-Ford Key...
Cornell >> CS >> 482 (Spring, 2008)
60 2/22 - Chapter 7.1 - The Maximum-Flo. Graphs to model transportation networks - networks whose edges carry some sort of trafic and whose nodes act as switches passing trafic between dierent edges a highway system - edges are highways, nodes are i...
Cornell >> CS >> 482 (Spring, 2008)
15 2/18/08 - Bellman-Ford shortest path al. Shortest Paths with Negative Edge Lengths (Bellman-Ford) Example: Dijkstra can go wrong. Can you add a constant to every edge length and then run Dijkstra? 15-1 You cant have negative cycles Examples C...
Cornell >> CS >> 482 (Spring, 2008)
14 2/15/08 - Edit distance Homework 2 in Upson 360 by 2pm today Prelim next week, Thursday evening - 2 algorithm questions, questions about lectures Dynamic programming review questions Techniques: (1) Greedy (2) Div. + Conq (3) Dyn. Prog. Ch. 4-6 I...
Cornell >> CS >> 482 (Spring, 2008)
3 1/21/08 - Stable Matching, part 1 Lecture: Stable matching, part 1. Reading: Chapter 1.1; Chapters 2,3 (1) Formulating algorithmic problems as mathematically wellpoised questions (2) Distinguishing easy from hard (3) General techniques for designi...
Cornell >> CS >> 482 (Spring, 2008)
Introduction to Algorithms CS 482, Spring 2008 Solution Set 9 (1) There are many correct solutions; here is one. The graph has two vertices s, t and n triples of vertices (ui , vi , wi )n , for a total of 3n + 2 vertices. There are 5n edges, specie...
Cornell >> CS >> 482 (Spring, 2008)
12 2/11/08 - Introduction to dynamic progr. Lecture: Introduction to dynamic programming; weighted interval scheduling Reading: Chapter 6.1 Chapter 6: Dynamic Programming First example: Weighted Interval Scheduling Goal: nd a set of non-overlapping ...
Cornell >> CS >> 482 (Spring, 2008)
9 2/4/08 - Divide and conquer algorithms:. Lecture: Divide and conquer algorithms: Multiplying polynomials and integers (Karatsuba\'s algorithm) Reading: Chapter 5.1, 5.2, 5.5 Divide & Conquer Mergesort Binary search Quicksort Algebra + Geometry Poly...
Cornell >> CS >> 482 (Spring, 2008)
8 2/1/08 - Implementing Kruskals algorit. Lecture: Implementing Kruskal\'s algorithm using union-nd. Reading: Chapter 4.6 Kruskals Algorithm Sort edges by increasing cost O(mlogn) T< For each edge (u, v) in this order if u, v are not in same componen...
Cornell >> CS >> 482 (Spring, 2008)
7 1/30/08 - Minimum spanning tree; Krus. Lecture: Minimum spanning tree; Kruskal\'s algorithm. Reading: Chapter 4.5 cs482-01-30-08-Audio.mp4 Minimum spanning tree Given G = (V,E) undirected, connected Costs ce > 0 for every e E. Goal: output connect...
Cornell >> CS >> 482 (Spring, 2008)
6 1/28/08 - Five Representative Problems Lecture: Five representative problems Reading: Chapter 1.2 Earliest Start Time with Pre-emption (1) Preprocess the input to remove jobs whose interval contains another jobs interval (2) Sort the remaining job...
Cornell >> CS >> 482 (Spring, 2008)
5 1/25/08 - Greedy Scheduling Algorithms Lecture: Greedy scheduling algorithms Reading: Chapter 4.1, 4.2 Interval Scheduling (jobs) Input: A set of pairs (si, ti)Ti=1 0 si ti T, si, ti N Output: A feasible schedule: a subset of the pairs, s.t. t...
USC >> REL >> 121G (Spring, 2008)
*Women at age 7, remain in women quarter. Food preparation, salad bread, but not meat. Learn skills of spinning and weaving(clothes). *Weaving: peplos(dress), piece of cloth, 5 to 6 feet. 2 steps: 1)Talasiourgein: working with allotment.cleaning, com...
USC >> MKT >> buad307 (Spring, 2008)
Budget: I think the ideal allocation strategy for advertising, promotion, and marketing research is 30% from gross profit. Huggies is under Kimberly-Clark corp. (note: gaz, I couldnt find the specific financial statement for huggies, so the statement...
USC >> MKT >> buad307 (Spring, 2008)
Focus group ...
USC >> MKT >> buad307 (Spring, 2008)
1.What is Integrated Marketing Communications? Give examples to support your answer. A concept of marketing communications planning that recognizes the added value of a comprehensive plan that evaluates the strategic roles of a variety of communicati...
USC >> REL >> 121g (Fall, 2008)
1)Literary ethnography: Historical writings. Provide descriptive study of human societies. 2)Independent peasant: 3)Chora: 4)Kyrios: 5)Gorgias: 6)Mageiros: 7)Dorkon: 8)Lycainion: 9)Syntrophos: 10)Aristocratic household: 11)Eros: 12)Kottalos: 13)Prima...
Texas College >> HIST >> 106 (Spring, 2008)
Theodore Roosevelt (Teddy) - TR became president in 1901. - He led an endlessly fascinating life, advocated the strenuous life, and largely created the modern presidency: he had many carriers, politician, cattle rancher, mountain climber, soldier, go...
Texas College >> HIST >> 106 (Spring, 2008)
National Origins Act: It was an anti immigration legislation. Hostility against immigration had been growing since the late 19th century. Many people felt that US was bring swapped by undesirable immigrants. The opstition to immigration had been gro...
Texas College >> HIST >> 106 (Spring, 2008)
- The Open Door Notes: The US interest grew in the eastern Asia and China. Chinas government was very weak, and it was unable to control its borders. As a result, empyreal powers moved in like Germany, France, Russia, Japan, England. The empyreal pow...
Texas College >> HIST >> 106 (Spring, 2008)
Woodrow Wilson: He believed in a strong activist government. He also believed that the government should do things and the president should do things. He believed that he should be Americas president and to be Americas destiny. He didnt like to compr...
Texas College >> HIST >> 106 (Spring, 2008)
Threats to the system: Rise of Germany Nationalism in the Balkans Security By 1914, the continent had bound itself into two competing blocks: a. Entente They were France, Russia and Britain. There were smaller forces involved. b. Central Powers They ...
Texas College >> HIST >> 106 (Spring, 2008)
Origins: Muckrakers: Who and what they did: They helped to make progressivism a national movement. Journalists and novelists who investigated and revealed the seamy details of corporate wrong doing, corruption in politics and the harsh realities of s...
Texas College >> HIST >> 106 (Spring, 2008)
The treaty of Versailles: As part of the treaty several new nations were created in Europe and the middle east. Ugoslavia, Chekoslovakia, Poland, finland. The League of Nations: Wilson essentially scarified the rest of the 14 points for this point. T...
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