Unsupervised Learning, Recommenders, Reinforcement Learning Coursera Quiz Answers 2022 | All Weeks Assessment Answers [๐Ÿ’ฏCorrect Answer]

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Unsupervised Learning, Recommenders, Reinforcement Learning Quiz Answers

Week 01: Unsupervised Learning, Recommenders, Reinforcement Learning Quiz Answers

Quiz 01 : Clustering

Q1. Which of these best describes unsupervised learning?

  • A form of machine learning that finds patterns using labeled data (x, y)
  • A form of machine learning that finds patterns without using a cost function.
  • A form of machine learning that finds patterns in data using only labels (y) but without any inputs (x) .
  • A form of machine learning that finds patterns using unlabeled data (x).

Q2. Which of these statements are true about K-means? Check all that apply.

  • The number of cluster assignment variables c^{(i)}c(i) is equal to the number of training examples.
  • If each example x is a vector of 5 numbers, then each cluster centroid \mu_kฮผkโ€‹ is also going to be a vector of 5 numbers.
  • If you are running K-means with K=3K=3 clusters, then each c^{(i)}c(i) should be 1, 2, or 3.
  • The number of cluster centroids \mu_kฮผkโ€‹ is equal to the number of examples.

Q3. You run K-means 100 times with different initializations. How should you pick from the 100 resulting solutions?

  • Pick randomly โ€” that was the point of random initialization.
  • Pick the last one (i.e., the 100th random initialization) because K-means always improves over time
  • Average all 100 solutions together.
  • Pick the one with the lowest cost JJ

Q4. You run K-means and compute the value of the cost function J(c^{(1)}, โ€ฆ, c^{(m)}, \mu_1, โ€ฆ, \mu_K)J(c(1),โ€ฆ,c(m),ฮผ1โ€‹,โ€ฆ,ฮผKโ€‹) after each iteration. Which of these statements should be true?

  • The cost can be greater or smaller than the cost in the previous iteration, but it decreases in the long run.
  • There is no cost function for the K-means algorithm.
  • Because K-means tries to maximize cost, the cost is always greater than or equal to the cost in the previous iteration.
  • The cost will either decrease or stay the same after each iteration. .

Q5. In K-means, the elbow method is a method to

  • Choose the best number of samples in the dataset
  • Choose the number of clusters K
  • Choose the maximum number of examples for each cluster
  • Choose the best random initialization

Quiz 02 : Anomaly detection

Q1. You are building a system to detect if computers in a data center are malfunctioning. You have 10,000 data points of computers functioning well, and no data from computers malfunctioning. What type of algorithm should you use?

  • Anomaly detection
  • Supervised learning

Q2. You are building a system to detect if computers in a data center are malfunctioning. You have 10,000 data points of computers functioning well, and 10,000 data points of computers malfunctioning. What type of algorithm should you use?

  • Anomaly detection
  • Supervised learning

Q3. Say you have 5,000 examples of normal airplane engines, and 15 examples of anomalous engines. How would you use the 15 examples of anomalous engines to evaluate your anomaly detection algorithm?

  • Because you have data of both normal and anomalous engines, donโ€™t use anomaly detection. Use supervised learning instead.
  • Use it during training by fitting one Gaussian model to the normal engines, and a different Gaussian model to the anomalous engines.
  • You cannot evaluate an anomaly detection algorithm because it is an unsupervised learning algorithm.
  • Put the data of anomalous engines (together with some normal engines) in the cross-validation and/or test sets to measure if the learned model can correctly detect anomalous engines.

Q4. Anomaly detection flags a new input xx as an anomaly if p(x) < \epsilonp(x)<ฯต. If we reduce the value of \epsilonฯต, what happens?

  • The algorithm is more likely to classify new examples as an anomaly.
  • The algorithm is less likely to classify new examples as an anomaly.
  • The algorithm is more likely to classify some examples as an anomaly, and less likely to classify some examples as an anomaly. It depends on the example xx.
  • The algorithm will automatically choose parameters \muฮผ and \sigmaฯƒ to decrease p(x)p(x) and compensate.

Q5. You are monitoring the temperature and vibration intensity on newly manufactured aircraft engines. You have measured 100 engines and fit the Gaussian model described in the video lectures to the data. The 100 examples and the resulting distributions are shown in the figure below.

The measurements on the latest engine you are testing have a temperature of 17.5 and a vibration intensity of 48. These are shown in magenta on the figure below. What is the probability of an engine having these two measurements?ngcb41

  • 0.0738 + 0.02288 = 0.0966
  • 0.0738 * 0.02288 = 0.00169
  • 17.5 + 48 = 65.5
  • 17.5 * 48 = 840

Week 02: Unsupervised Learning, Recommenders, Reinforcement Learning Quiz Answers

Quiz 01 : Collaborative Filtering

Q1. You have the following table of movie ratings:

MovieElissaZachBarryTerry
Football Forever543?
Pies, Pies, Pies1?54
Linear Algebra Live45?1

Refer to the table above for question 1 and 2. Assume numbering starts at 1 for this quiz, so the rating for Football Forever by Elissa is at (1,1)

What is the value of nu

Q2. What is the value of r(2,2)r(2,2)

Q3. In which of the following situations will a collaborative filtering system be the most appropriate learning algorithm (compared to linear or logistic regression)?

  • You run an online bookstore and collect the ratings of many users. You want to use this to identify what books are โ€œsimilarโ€ to each other (i.e., if a user likes a certain book, what are other books that they might also like?)
  • Youโ€™re an artist and hand-paint portraits for your clients. Each client gets a different portrait (of themselves) and gives you 1-5 star rating feedback, and each client purchases at most 1 portrait. Youโ€™d like to predict what rating your next customer will give you.
  • You manage an online bookstore and you have the book ratings from many users. You want to learn to predict the expected sales volume (number of books sold) as a function of the average rating of a book.
  • You subscribe to an online video streaming service, and are not satisfied with their movie suggestions. You download all your viewing for the last 10 years and rate each item. You assign each item a genre. Using your ratings and genre assignment, you learn to predict how you will rate new movies based on the genre.

Q4. For recommender systems with binary labels y, which of these are reasonable ways for defining when yy should be 1 for a given user jj and item ii? (Check all that apply.)

  • yy is 1 if user jj purchases item ii (after being shown the item)
  • yy is 1 if user jj has been shown item ii by the recommendation engine
  • yy is 1 if user jj fav/likes/clicks on item ii (after being shown the item)
  • yy is 1 if user jj has not yet been shown item ii by the recommendation engine

Quiz 02 : Recommender systems implementation

Q1. Lecture described using โ€˜mean normalizationโ€™ to do feature scaling of the ratings. What equation below best describes this algorithm?

  • ynorm(i,j)ฮผiฯƒ2i=y(i,j)โˆ’ฮผiฯƒiwhere=1โˆ‘jr(i,j)โˆ‘j:r(i,j)=1y(i,j)=1โˆ‘jr(i,j)โˆ‘j:r(i,j)=1(y(i,j)โˆ’ฮผj)2
  • ynorm(i,j)ฮผi=y(i,j)โˆ’ฮผiwhere=1โˆ‘jr(i,j)โˆ‘j:r(i,j)=1y(i,j)
  • ynorm(i,j)ฮผi=y(i,j)โˆ’ฮผimaxiโˆ’miniwhere=1โˆ‘jr(i,j)โˆ‘j:r(i,j)=1y(i,j)

Q2. The implementation of collaborative filtering utilized a custom training loop in TensorFlow. Is it true that TensorFlow always requires a custom training loop?

  • Yes. TensorFlow gains flexibility by providing the user primitive operations they can combine in many ways.
  • No: TensorFlow provides simplified training operations for some applications.

Q3. Once a model is trained, the โ€˜distanceโ€™ between features vectors gives an indication of how similar items are.

The squared distance between the two vectors \mathbf{x}^{(k)}x(k) and \mathbf{x}^{(i)}x(i) is:

distance = \left\Vert \mathbf{x^{(k)}} โ€“ \mathbf{x^{(i)}} \right\Vert^2 = \sum_{l=1}^{n}(x_l^{(k)} -x_l^{(i)})^2distance=โˆฅโˆฅโˆฅโ€‹x(k)โˆ’x(i)โˆฅโˆฅโˆฅโ€‹2=โˆ‘l=1nโ€‹(xl(k)โ€‹โˆ’xl(i)โ€‹)2

Using the table below, find the closest item to the movie โ€œPies, Pies, Piesโ€.

MovieUser 1โ€ฆUser nx_0x0โ€‹x_1x1โ€‹x_2x2โ€‹
Pastries for Supper2.02.01.0
Pies, Pies, Pies2.03.04.0
Pies and You5.03.04.0
  • Pastries for Supper
  • Pies and You

Q4. Which of these is an example of the cold start problem? (Check all that apply.)

  • A recommendation system is unable to give accurate rating predictions for a new product that no users have rated.
  • A recommendation system takes so long to train that users get bored and leave.
  • A recommendation system is unable to give accurate rating predictions for a new user that has rated few products.
  • A recommendation system is so computationally expensive that it causes your computer CPU to heat up, causing your computer to need to be cooled down and restarted.

Quiz 03 : Content-based filtering

Q1. Vector x_uxuโ€‹ and vector x_mxmโ€‹ must be of the same dimension, where x_uxuโ€‹ is the input features vector for a user (age, gender, etc.) x_mxmโ€‹ is the input features vector for a movie (year, genre, etc.) True or false?

  • True
  • False

Q2. If we find that two movies, ii and kk, have vectors v_m^{(i)}vm(i)โ€‹ and v_m^{(k)}vm(k)โ€‹ that are similar to each other (i.e., ||v_m^{(i)} โ€“ v_m^{(k)}||โˆฃโˆฃvm(i)โ€‹โˆ’vm(k)โ€‹โˆฃโˆฃ is small), then which of the following is likely to be true? Pick the best answer.

  • We should recommend to users one of these two movies, but not both.
  • The two movies are similar to each other and will be liked by similar users.
  • A user that has watched one of these two movies has probably watched the other as well.
  • The two movies are very dissimilar.

Q3. Which of the following neural network configurations are valid for a content based filtering application? Please note carefully the dimensions of the neural network indicated in the diagram. Check all the options that apply:

  • .
ngcb41
  • The user vector v_u is 32 dimensional, and the item vector v_m is 64 dimensional
ngcb41
  • The user and the item networks have different architectures
ngcb41
  • The user and item networks have 64 dimensional v_u and v_m vector respectively
ngcb41

Both the user and the item networks have the same architecture

Q4. You have built a recommendation system to retrieve musical pieces from a large database of music, and have an algorithm that uses separate retrieval and ranking steps. If you modify the algorithm to add more musical pieces to the retrieved list (i.e., the retrieval step returns more items), which of these are likely to happen? Check all that apply

  • The quality of recommendations made to users should stay the same or improve.
  • The systemโ€™s response time might increase (i.e., users have to wait longer to get recommendations)
  • The systemโ€™s response time might decrease (i.e., users get recommendations more quickly)
  • The quality of recommendations made to users should stay the same or worsen.

Q5. To speed up the response time of your recommendation system, you can pre-compute the vectors v_m for all the items you might recommend. This can be done even before a user logs in to your website and even before you know the x_uxuโ€‹ or v_uvuโ€‹ vector. True/False?

  • True
  • False

Week 03: Unsupervised Learning, Recommenders, Reinforcement Learning Quiz Answers

Quiz 01 : Reinforcement learning introduction

Q1. You are using reinforcement learning to control a four legged robot. The position of the robot would be its _____.

  • state
  • return
  • action
  • reward

Q2. You are controlling a Mars rover. You will be very very happy if it gets to state 1 (significant scientific discovery), slightly happy if it gets to state 2 (small scientific discovery), and unhappy if it gets to state 3 (rover is permanently damaged). To reflect this, choose a reward function so that:

  • R(1) < R(2) < R(3), where R(1) and R(2) are negative and R(3) is positive.
  • R(1) > R(2) > R(3), where R(1), R(2) and R(3) are positive.
  • R(1) > R(2) > R(3), where R(1) and R(2) are positive and R(3) is negative.
  • R(1) > R(2) > R(3), where R(1), R(2) and R(3) are negative.

Q3. You are using reinforcement learning to fly a helicopter. Using a discount factor of 0.75, your helicopter starts in some state and receives rewards -100 on the first step, -100 on the second step, and 1000 on the third and final step (where it has reached a terminal state). What is the return?

  • -100 โ€“ 0.25*100 + 0.25^2*1000
  • -100 โ€“ 0.75*100 + 0.75^2*1000
  • -0.25*100 โ€“ 0.25^2*100 + 0.25^3*1000
  • -0.75*100 โ€“ 0.75^2*100 + 0.75^3*1000

Q4. Given the rewards and actions below, compute the return from state 3 with a discount factor of \gamma = 0.25ฮณ=0.25.ngcb41

  • 0
  • 0.39
  • 6.25
  • 25

Quiz 02 : State-action value function

Q1. Which of the following accurately describes the state-action value function Q(s,a)Q(s,a)?

  • It is the return if you start from state ss, take action aa (once), then behave optimally after that.
  • It is the return if you start from state ss and repeatedly take action aa.
  • It is the return if you start from state ss and behave optimally.
  • It is the immediate reward if you start from state ss and take action aa (once).

Q2. You are controlling a robot that has 3 actions: โ† (left), โ†’ (right) and STOP. From a given state ss, you have computed Q(s, โ†) = -10, Q(s, โ†’) = -20, Q(s, STOP) = 0.

What is the optimal action to take in state ss?

  • STOP
  • โ† (left)
  • โ†’ (right)
  • Impossible to tell

Q3. For this problem, \gamma = 0.25ฮณ=0.25. The diagram below shows the return and the optimal action from each state. Please compute Q(5, โ†). ngcb41

  • 0.625
  • 0.391
  • 1.25
  • 2.5

Quiz 03 : Continuous state spaces

Q1. The Lunar Lander is a continuous state Markov Decision Process (MDP) because:

  • The state contains numbers such as position and velocity that are continuous valued.
  • The reward contains numbers that are continuous valued
  • The state has multiple numbers rather than only a single number (such as position in the xx-direction)
  • The state-action value Q(s,a)Q(s,a) function outputs continuous valued numbers

Q2. In the learning algorithm described in the videos, we repeatedly create an artificial training set to which we apply supervised learning where the input x = (s,a)x=(s,a) and the target, constructed using Bellmanโ€™s equations, is y = _____?

  • y=R(sโ€™)y=R(sโ€ฒ) where sโ€™sโ€ฒ is the state you get to after taking action aa in state s
  • y=\max\limits_{aโ€™} Q(sโ€™,aโ€™)y=aโ€ฒmaxโ€‹Q(sโ€ฒ,aโ€ฒ) where sโ€™sโ€ฒ is the state you get to after taking action aa in state s
  • y=R(s)+ฮณaโ€ฒmaxโ€‹Q(sโ€ฒ,aโ€ฒ) where sโ€™sโ€ฒ is the state you get to after taking action aa in state s
  • y=R(s)y=R(s)

Q3. You have reached the final practice quiz of this class! What does that mean? (Please check all the answers, because all of them are correct!)

  • What an accomplishment โ€” you made it!
  • Andrew sends his heartfelt congratulations to you!
  • The DeepLearning.AI and Stanford Online teams would like to give you a round of applause!
  • You deserve to celebrate!

More About This Course

In the third course of the Specialization in Machine Learning, you will:

โ€ข Use techniques for unsupervised learning, such as clustering and anomaly detection, for unsupervised learning.

โ€ข Build recommender systems using a content-based deep learning method and a collaborative filtering method.

โ€ข Build a deep reinforcement learning model.

The Machine Learning Specialization is a foundational online programme that was made by Stanford Online and DeepLearning.AI. In this easy-to-use programme, you’ll learn the basics of machine learning and how to use these techniques to build AI apps that work in the real world.

Andrew Ng teaches this Specialization. He is a visionary in the field of AI. He has led important research at Stanford University and done groundbreaking work at Google Brain, Baidu, and Landing. AI.

This 3-course Specialization is an updated and expanded version of Andrew’s pioneering Machine Learning course, which has been taken by more than 4.8 million people since it was first offered in 2012. It has a rating of 4.9 out of 5 stars.

It gives a broad introduction to modern machine learning, including supervised learning (multiple linear regression, logistic regression, neural networks, and decision trees), unsupervised learning (clustering, dimensionality reduction, and recommender systems), and some of the best practices used in Silicon Valley for AI and machine learning innovation (evaluating and tuning models, taking a data-centric approach to improving performance, and more.)

By the end of this Specialization, you will have mastered key ideas and learned the skills you need to use machine learning quickly and effectively to solve hard problems in the real world. The new Machine Learning Specialization is the best place to start if you want to get into AI or build a career in machine learning.

WHAT YOU’LL FIND OUT

Use techniques for unsupervised learning, such as clustering and anomaly detection, for unsupervised learning.

Use a collaborative filtering method and a content-based deep learning method to build recommender systems.

Build a strong model of reinforcement learning

SKILLS YOU WILL GAIN

  • Collaborative Filtering
  • Unsupervised Learning
  • Recommender Systems
  • Reinforcement Learning
  • Anomaly Detection

Conclusion

Hopefully, this article will be useful for you to find all theย Week, final assessment, and Peer Graded Assessment Answers of Unsupervised Learning, Recommenders, Reinforcement Learning Quiz of Courseraย and grab some premium knowledge with less effort. If this article really helped you in any way then make sure to share it with your friends on social media and let them also know about this amazing training. You can also check out our other courseย Answers.ย So, be with us guys we will share a lot more free courses and their exam/quiz solutions also, and follow ourย Techno-RJย Blogย for more updates.

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    ั€ะฐะดะพะฝะพะฒั‹ะต ะธัั‚ะพั‡ะฝะธะบะธ ะฒ ะบั€ั‹ะผัƒ

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  12. ะณะพัั‚ะตะฒะพะน ะดะพะผ husky moa ะบะฐั€ะตะปะธั
    ั…ะพัั‚ะตะปั‹ ะฟะพะดะพะปัŒัะบะฐ
    ะฟั€ะธะฒะตั‚ ั…ะพัั‚ะตะป ะผะพัะบะฒะฐ

    ะณะพะฝะฐั€ั‚ั€ะพะท ะบะพะปะตะฝะฝะพะณะพ ััƒัั‚ะฐะฒะฐ ะพั‚ะทั‹ะฒั‹

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  13. ะณะพัั‚ะธะฝะธั†ะฐ ะฟั€ะธะฑะพะน ะฑะฐะนะบะฐะปัŒัะบ
    ะณะพั€ะพะดะฐ ะบัƒั€ะพั€ั‚ั‹ ะบั€ะฐัะฝะพะดะฐั€ัะบะพะณะพ ะบั€ะฐั ะฝะฐ ั‡ะตั€ะฝะพะผ ะผะพั€ะต
    ะพั‚ะตะปัŒ ะฟะพะบั€ะพะฒัะบะธะน ะฟะพัะฐะด ะฝะธะถะฝะธะน ะฝะพะฒะณะพั€ะพะด

    ะธัั‚ั€ะฐ ั€ะพะฟ ัะฐะฝะฐั‚ะพั€ะธะน ะพั„ะธั†ะธะฐะปัŒะฝั‹ะน ัะฐะนั‚

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  14. ะณะพัั‚ะตะฒะพะน ะดะพะผ ะทะฐะผะพะบ ัƒ ะผะพั€ั ะฒะธั‚ัะทะตะฒะพ
    ะฑะตะปั‹ะต ะฝะพั‡ะธ ัะฐะฝะฐั‚ะพั€ะธะน ัะพั‡ะธ
    ะฑะฐะทะฐ ะพั‚ะดั‹ั…ะฐ ะฒ ะฒะพั€ะพะฝะตะถะต ั ะฑะฐััะตะนะฝะพะผ

    ัะฒะบะฐะปะธะฟั‚ ะฐะฑั…ะฐะทะธั

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  15. ะ ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ โ€” ัั‚ะพ ะพั„ะธั†ะธะฐะปัŒะฝั‹ะน ะฐะบั‚, ะฒั‹ะฟะธัั‹ะฒะฐะตะผั‹ะน ัƒะฟั€ะฐะฒะพะผะพั‡ะตะฝะฝั‹ะผะธ ะพั€ะณะฐะฝะฐะผะธ ะณะพััƒะดะฐั€ัั‚ะฒะตะฝะฝะพะณะพ ะฐะฟะฟะฐั€ะฐั‚ะฐ ะธะปะธ ะผัƒะฝะธั†ะธะฟะฐะปัŒะฝะพะณะพ ัะฐะผะพัƒะฟั€ะฐะฒะปะตะฝะธั, ะบะพั‚ะพั€ั‹ะน ะดะพะฟัƒัะบะฐะตั‚ ะฝะฐั‡ะฐั‚ัŒ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ ะธะปะธ ะธัะฟะพะปะฝะตะฝะธะต ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ั… ั€ะฐะฑะพั‚.
    [url=https://rns-50.ru/]ะ ะะก[/url] ะฝะฐะทะฝะฐั‡ะฐะตั‚ ะฝะพั€ะผะฐั‚ะธะฒะฝั‹ะต ะฟั€ะธะฝั†ะธะฟั‹ ะธ ั‚ั€ะตะฑะพะฒะฐะฝะธั ะบ ัั‚ั€ะพะนะบะต, ะฒะบะปัŽั‡ะฐั ะดะพะทะฒะพะปะตะฝะฝั‹ะต ั€ะฐะทะฝะพะฒะธะดะฝะพัั‚ะธ ั€ะฐะฑะพั‚, ั€ะฐะทั€ะตัˆะตะฝะฝั‹ะต ะผะฐั‚ะตั€ะธะฐะปั‹ ะธ ัะฟะพัะพะฑั‹, ะฐ ั‚ะฐะบะถะต ะฒะบะปัŽั‡ะฐะตั‚ ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ัั‚ะฐะฝะดะฐั€ั‚ั‹ ะธ ะฝะฐะฑะพั€ั‹ ะฑะตะทะพะฟะฐัะฝะพัั‚ะธ. ะŸะพะปัƒั‡ะตะฝะธะต ั€ะฐะทั€ะตัˆะตะฝะธั ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ั€ะฐะฑะพั‚ั‹ ัะฒะปัะตั‚ัั ะฝะตะพะฑั…ะพะดะธะผั‹ะผ ะดะพะบัƒะผะตะฝั‚ะพะฒ ะดะปั ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ัั„ะตั€ั‹.

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  16. ะ‘ั‹ัั‚ั€ะพะผะพะฝั‚ะธั€ัƒะตะผั‹ะต ะทะดะฐะฝะธั – ัั‚ะพ ะฐะบั‚ัƒะฐะปัŒะฝั‹ะต ะทะดะฐะฝะธั, ะบะพั‚ะพั€ั‹ะต ั€ะฐะทะปะธั‡ะฐัŽั‚ัั ะฒั‹ัะพะบะพะน ะฑั‹ัั‚ั€ะพั‚ะพะน ะฒะพะทะฒะตะดะตะฝะธั ะธ ะณะธะฑะบะพัั‚ัŒัŽ. ะžะฝะธ ะฟั€ะตะดัั‚ะฐะฒะปััŽั‚ ัะพะฑะพะน ะฟะพัั‚ั€ะพะนะบะธ, ัะพัั‚ะพัั‰ะธะต ะธะท ะฟั€ะตะดะฒะฐั€ะธั‚ะตะปัŒะฝะพ ะฒั‹ะดะตะปะฐะฝะฝั‹ั… ัะพัั‚ะฐะฒะฝั‹ั… ั‡ะฐัั‚ะตะน ะธะปะธ ะบะพะผะฟะพะฝะตะฝั‚ะพะฒ, ะบะพั‚ะพั€ั‹ะต ัะฟะพัะพะฑะฝั‹ ะฑั‹ั‚ัŒ ะฑั‹ัั‚ั€ั‹ะผะธ ั‚ะตะผะฟะฐะผะธ ัƒัั‚ะฐะฝะพะฒะปะตะฝั‹ ะฒ ะฟัƒะฝะบั‚ะต ัั‚ั€ะพะนะบะธ.
    [url=https://bystrovozvodimye-zdanija.ru/]ะ—ะดะฐะฝะธะต ะธะท ััะฝะดะฒะธั‡ ะฟะฐะฝะตะปะตะน ะฟะพะด ะบะปัŽั‡[/url] ะพะฑะปะฐะดะฐัŽั‚ ะฟะพะดะฐั‚ะปะธะฒะพัั‚ัŒัŽ ั‚ะฐะบะถะต ะฐะดะฐะฟั‚ะธั€ัƒะตะผะพัั‚ัŒัŽ, ั‡ั‚ะพ ะดะฐะตั‚ ะฒะพะทะผะพะถะฝะพัั‚ัŒ ะปะตะณะบะพ ะธะทะผะตะฝัั‚ัŒ ะฐ ั‚ะฐะบะถะต ะฐะดะฐะฟั‚ะธั€ะพะฒะฐั‚ัŒ ะธั… ะฒ ัะพะพั‚ะฒะตั‚ัั‚ะฒะธะธ ั ะฟะพั‚ั€ะตะฑะฝะพัั‚ัะผะธ ะฟะพะบัƒะฟะฐั‚ะตะปั. ะญั‚ะพ ัะบะพะฝะพะผะธั‡ะตัะบะธ ั€ะตะทัƒะปัŒั‚ะฐั‚ะธะฒะฝะพะต ะฐ ั‚ะฐะบะถะต ัะบะพะปะพะณะธั‡ะตัะบะธ ะฝะฐะดะตะถะฝะพะต ั€ะตัˆะตะฝะธะต, ะบะพั‚ะพั€ะพะต ะฒ ะบั€ะฐะนะฝะธะต ะปะตั‚ะฐ ะฟะพะปัƒั‡ะธะปะพ ะพะฑัˆะธั€ะฝะพะต ั€ะฐัะฟั€ะพัั‚ั€ะฐะฝะตะฝะธะต.

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  18. ะ ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ โ€“ ัั‚ะพ ะพั„ะธั†ะธะฐะปัŒะฝั‹ะน ะดะพะบัƒะผะตะฝั‚, ะฟั€ะตะดะพัั‚ะฐะฒะปัะตะผั‹ะน ะณะพััƒะดะฐั€ัั‚ะฒะตะฝะฝั‹ะผะธ ะพั€ะณะฐะฝะฐะผะธ ะฒะปะฐัั‚ะธ, ะบะพั‚ะพั€ั‹ะน ะพะฑะตัะฟะตั‡ะธะฒะฐะตั‚ ะทะฐะบะพะฝะฝะพะต ะฟะพะทะฒะพะปะตะฝะธะต ะฝะฐ ะฟัƒัะบ ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ, ั€ะตะฐะฑะธะปะธั‚ะฐั†ะธัŽ, ะบะฐะฟะธั‚ะฐะปัŒะฝั‹ะน ั€ะตะผะพะฝั‚ ะธะปะธ ั€ะฐะทะฝะพะพะฑั€ะฐะทะฝั‹ะต ั‚ะธะฟั‹ ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ. ะญั‚ะพั‚ ะดะพะบัƒะผะตะฝั‚ ะฝะตะพะฑั…ะพะดะธะผ ะดะปั ะพััƒั‰ะตัั‚ะฒะปะตะฝะธั ะฟะพั‡ั‚ะธ ั€ะฐะทะฝะพะพะฑั€ะฐะทะฝั‹ั… ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ั… ะธ ั€ะตะผะพะฝั‚ะฝั‹ั… ะฟั€ะพั†ะตะดัƒั€, ะธ ะตะณะพ ะพั‚ััƒั‚ัั‚ะฒะธะต ะผะพะถะตั‚ ะฒั‹ะทะฒะฐั‚ัŒ ะฒะฐะถะฝั‹ะผะธ ะฟั€ะฐะฒะพะฒั‹ะผะธ ะธ ั„ะธะฝะฐะฝัะพะฒั‹ะผะธ ะฟะพัะปะตะดัั‚ะฒะธัะผะธ.
    ะ—ะฐั‡ะตะผ ะถะต ะฝัƒะถะฝะพ [url=https://xn--73-6kchjy.xn--p1ai/]ะบะฐะบ ะทะฐั€ะตะณะธัั‚ั€ะธั€ะพะฒะฐั‚ัŒ ั€ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ[/url]?
    ะŸั€ะฐะฒะพะฒะฐั ะพัะฝะพะฒะฐ ะธ ะฝะฐะดะทะพั€. ะ ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ โ€“ ัั‚ะพ ะผะตั‚ะพะด ะฐััะธะณะฝะพะฒะฐะฝะธั ัะพะฑะปัŽะดะตะฝะธั ะฟั€ะฐะฒะธะป ะธ ะฝะพั€ะผ ะฒ ะฟั€ะพั†ะตััะต ะฟะพัั‚ั€ะพะนะบะธ. ะŸะพะทะฒะพะปะตะฝะธะต ะพะฑะตัะฟะตั‡ะธะฒะฐะตั‚ ัะพะฑะปัŽะดะตะฝะธะต ะฝะพั€ะผ ะธ ะทะฐะบะพะฝะพะฒ.
    ะŸะพะดั€ะพะฑะฝะตะต ะฝะฐ [url=https://xn--73-6kchjy.xn--p1ai/]http://rns50.ru[/url]
    ะ’ ั„ะธะฝะฐะปัŒะฝะพะผ ะธัั…ะพะดะต, ั€ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ ะธ ะผะพะฝั‚ะฐะถ ะฟั€ะตะดัั‚ะฐะฒะปัะตั‚ ัะพะฑะพะน ััƒั‰ะตัั‚ะฒะตะฝะฝั‹ะน ะผะตั…ะฐะฝะธะทะผะพะผ, ะฐััะธะณะฝะพะฒั‹ะฒะฐัŽั‰ะธะผ ัะพะฑะปัŽะดะตะฝะธะต ะทะฐะบะพะฝะฝะพัั‚ะธ, ะณะฐั€ะฐะฝั‚ะธั€ะพะฒะฐะฝะธะต ะฑะตะทะพะฟะฐัะฝะพัั‚ะธ ะธ ัั‚ะฐะฑะธะปัŒะฝะพะต ั€ะฐะทะฒะธั‚ะธะต ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ. ะžะฝะพ ะบั€ะพะผะต ั‚ะพะณะพ ะฟั€ะตะดัั‚ะฐะฒะปัะตั‚ ัะพะฑะพะน ะพะฑัะทะฐั‚ะตะปัŒะฝั‹ะผ ั…ะพะดะพะผ ะดะปั ะฒัะตั…, ะบั‚ะพ ะฟะปะฐะฝะธั€ัƒะตั‚ ะทะฐะฝะธะผะฐั‚ัŒัั ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพะผ ะธะปะธ ั€ะตะบะพะฝัั‚ั€ัƒะบั†ะธะตะน ะฝะตะดะฒะธะถะธะผะพัั‚ะธ, ะธ ะฟั€ะธััƒั‚ัั‚ะฒะธะต ัะฟะพัะพะฑัั‚ะฒัƒะตั‚ ัƒะบั€ะตะฟะปะตะฝะธัŽ ะฟั€ะฐะฒ ะธ ะธะฝั‚ะตั€ะตัะพะฒ ะฒัะตั… ัั‚ะพั€ะพะฝ, ะฟั€ะธะฝะธะผะฐัŽั‰ะธั… ัƒั‡ะฐัั‚ะธะต ะฒ ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ.

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  19. ะ ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ โ€“ ัั‚ะพ ะทะฐะบะพะฝะฝั‹ะน ะดะพะบัƒะผะตะฝั‚, ะฟั€ะตะดะพัั‚ะฐะฒะปะตะฝะฝั‹ะน ะณะพััƒะดะฐั€ัั‚ะฒะตะฝะฝั‹ะผะธ ะฒะปะฐัั‚ัะผะธ, ะบะพั‚ะพั€ั‹ะน ะฟั€ะตะดะพัั‚ะฐะฒะปัะตั‚ ะฒะพะทะผะพะถะฝะพัั‚ัŒ ัŽั€ะธะดะธั‡ะตัะบะธ ะพะฑะพัะฝะพะฒะฐะฝะฝะพะต ะดะพะฟัƒัะบ ะฝะฐ ะฝะฐั‡ะฐะปะพ ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ั… ั€ะฐะฑะพั‚, ั€ะตะบะพะฝัั‚ั€ัƒะบั‚ะธะฒะฝั‹ะต ะผะตั€ะพะฟั€ะธัั‚ะธั, ะพัะฝะพะฒะฝะพะน ั€ะตะฐะฑะธะปะธั‚ะฐั†ะธะพะฝะฝั‹ะน ั€ะตะผะพะฝั‚ ะธะปะธ ะดั€ัƒะณะธะต ั‚ะธะฟั‹ ัั‚ั€ะพะธั‚ะตะปัŒะฝะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ. ะญั‚ะพั‚ ะฑัƒะผะฐะณะฐ ะฝะตะพะฑั…ะพะดะธะผ ะดะปั ะพััƒั‰ะตัั‚ะฒะปะตะฝะธั ั„ะฐะบั‚ะธั‡ะตัะบะธ ะปัŽะฑั‹ั… ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ั… ะธ ั€ะตะผะพะฝั‚ะฝั‹ั… ะพะฟะตั€ะฐั†ะธะน, ะธ ะตะณะพ ะพั‚ััƒั‚ัั‚ะฒะธะต ะผะพะถะตั‚ ะฟั€ะพะฒะตัั‚ะธ ะบ ะฒะฐะถะฝั‹ะผะธ ะฟั€ะฐะฒะพะฒั‹ะผะธ ะธ ั„ะธะฝะฐะฝัะพะฒั‹ะผะธ ะฟะพัะปะตะดัั‚ะฒะธัะผะธ.
    ะ—ะฐั‡ะตะผ ะถะต ะฝัƒะถะฝะพ [url=https://xn--73-6kchjy.xn--p1ai/]ั€ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ[/url]?
    ะกะพะฑะปัŽะดะตะฝะธะต ะฟั€ะฐะฒะธะป ะธ ะฝะฐะดะทะพั€. ะ ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ ะธ ะผะพะฝั‚ะฐะถ โ€“ ัั‚ะพ ะฟัƒั‚ัŒ ะฐััะธะณะฝะพะฒะฐะฝะธั ัะพะฑะปัŽะดะตะฝะธั ะทะฐะบะพะฝะพะดะฐั‚ะตะปัŒัั‚ะฒะฐ ะธ ัั‚ะฐะฝะดะฐั€ั‚ะพะฒ ะฒ ัั‚ะฐะดะธะธ ะฟะพัั‚ั€ะพะนะบะธ. ะŸะพะทะฒะพะปะตะฝะธะต ะณะฐั€ะฐะฝั‚ะธั€ัƒะตั‚ ะฒั‹ะฟะพะปะฝะตะฝะธะต ะฟั€ะฐะฒะธะป ะธ ะฝะพั€ะผ.
    ะŸะพะดั€ะพะฑะฝะตะต ะฝะฐ [url=https://xn--73-6kchjy.xn--p1ai/]https://rns50.ru[/url]
    ะ’ ั„ะธะฝะฐะปัŒะฝะพะผ ะธัั…ะพะดะต, ั€ะฐะทั€ะตัˆะตะฝะธะต ะฝะฐ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ ะพะฑัŠะตะบั‚ะฐ ัะฒะปัะตั‚ัั ะบะปัŽั‡ะตะฒั‹ะผ ัั€ะตะดัั‚ะฒะพะผ, ะฟะพะดะดะตั€ะถะธะฒะฐัŽั‰ะธะผ ะทะฐะบะพะฝะฝะพะต ะพัะฝะพะฒะฐะฝะธะต, ัะพะฑะปัŽะดะตะฝะธะต ะฑะตะทะพะฟะฐัะฝะพัั‚ะธ ะธ ัƒัั‚ะพะนั‡ะธะฒะพะต ั€ะฐะทะฒะธั‚ะธะต ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะฐ. ะžะฝะพ ั‚ะฐะบะถะต ะฟั€ะตะดัั‚ะฐะฒะปัะตั‚ ัะพะฑะพะน ะพะฑัะทะฐั‚ะตะปัŒะฝะพะต ั…ะพะดะพะผ ะดะปั ะฒัะตั…, ะบั‚ะพ ะฟะปะฐะฝะธั€ัƒะตั‚ ะทะฐะฝะธะผะฐั‚ัŒัั ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพะผ ะธะปะธ ั€ะตะบะพะฝัั‚ั€ัƒะบั†ะธะตะน ะพะฑัŠะตะบั‚ะพะฒ ะฝะตะดะฒะธะถะธะผะพัั‚ะธ, ะธ ะตะณะพ ะฝะฐะปะธั‡ะธะต ัะฟะพัะพะฑัั‚ะฒัƒะตั‚ ัƒะบั€ะตะฟะปะตะฝะธัŽ ะฟั€ะฐะฒ ะธ ะธะฝั‚ะตั€ะตัะพะฒ ะฒัะตั… ัั‚ะพั€ะพะฝ, ัƒั‡ะฐัั‚ะฒัƒัŽั‰ะธั… ะฒ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะต.

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  20. ะกะบะพั€ะพัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ะทะดะฐะฝะธั: ั„ะธะฝะฐะฝัะพะฒะฐั ะฟะพะปัŒะทะฐ ะฒ ะบะฐะถะดะพะน ะดะตั‚ะฐะปะธ!
    ะ’ ัะพะฒั€ะตะผะตะฝะฝะพะผ ะผะธั€ะต, ะณะดะต ะฒั€ะตะผั – ะดะตะฝัŒะณะธ, ัะบะพั€ะพัั‚ั€ะพะนะบะธ ัั‚ะฐะปะธ ั€ะตะฐะปัŒะฝั‹ะผ ัะฟะฐัะตะฝะธะตะผ ะดะปั ั„ะธั€ะผ. ะญั‚ะธ ัะพะฒั€ะตะผะตะฝะฝั‹ะต ะพะฑัŠะตะบั‚ั‹ ะฒะบะปัŽั‡ะฐัŽั‚ ะฒ ัะตะฑั ะฒั‹ัะพะบัƒัŽ ะฟั€ะพั‡ะฝะพัั‚ัŒ, ัะบะพะฝะพะผะธั‡ะฝะพะต ะธัะฟะพะปัŒะทะพะฒะฐะฝะธะต ั€ะตััƒั€ัะพะฒ ะธ ะฑั‹ัั‚ั€ั‹ะน ะผะพะฝั‚ะฐะถ, ั‡ั‚ะพ ะฟั€ะธะดะฐะตั‚ ะธะผ ัะฟะพัะพะฑะฝะพัั‚ัŒ ะพะฟั‚ะธะผะฐะปัŒะฝั‹ะผ ั€ะตัˆะตะฝะธะตะผ ะดะปั ั€ะฐะทะปะธั‡ะฝั‹ั… ะบะพะผะผะตั€ั‡ะตัะบะธั… ะฟั€ะพะตะบั‚ะพะฒ.
    [url=https://bystrovozvodimye-zdanija-moskva.ru/]ะ›ะตะณะบะพะฒะพะทะฒะพะดะธะผั‹ะต ะทะดะฐะฝะธั ะธะท ะผะตั‚ะฐะปะปะพะบะพะฝัั‚ั€ัƒะบั†ะธะน[/url]
    1. ะกะบะพั€ะพัั‚ัŒ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะฐ: ะงะฐัั‹ – ะบะปัŽั‡ะตะฒะพะน ะผะพะผะตะฝั‚ ะฒ ัะบะพะฝะพะผะธะบะต, ะธ ัะบัะฟั€ะตัั-ัะพะพั€ัƒะถะตะฝะธั ะฟะพะทะฒะพะปััŽั‚ ััƒั‰ะตัั‚ะฒะตะฝะฝะพ ัะพะบั€ะฐั‚ะธั‚ัŒ ะฒั€ะตะผั ะผะพะฝั‚ะฐะถะฐ. ะญั‚ะพ ะฟั€ะตะธะผัƒั‰ะตัั‚ะฒะตะฝะฝะพ ะฒะฐะถะฝะพ ะฒ ะฒะฐั€ะธะฐะฝั‚ะฐั…, ะบะพะณะดะฐ ั‚ั€ะตะฑัƒะตั‚ัั ะฑั‹ัั‚ั€ั‹ะน ัั‚ะฐั€ั‚ ะฑะธะทะฝะตัะฐ ะธ ะฝะฐั‡ะฐั‚ัŒ ะฟะพะปัƒั‡ะฐั‚ัŒ ะดะพั…ะพะด.
    2. ะคะธะฝะฐะฝัะพะฒะฐั ะฒั‹ะณะพะดะฐ: ะ—ะฐ ัั‡ะตั‚ ัƒะปัƒั‡ัˆะตะฝะธั ะฟั€ะพั†ะตััะพะฒ ะธะทะณะพั‚ะพะฒะปะตะฝะธั ัะปะตะผะตะฝั‚ะพะฒ ะธ ัะฑะพั€ะบะธ ะฝะฐ ะพะฑัŠะตะบั‚ะต, ั€ะฐัั…ะพะดั‹ ะฝะฐ ัะบะพั€ะพัั‚ั€ะพะนะบะธ ั‡ะฐัั‚ะพ ะฑั‹ะฒะฐะตั‚ ะฝะธะถะต, ั‡ะตะผ ัƒ ั‚ั€ะฐะดะธั†ะธะพะฝะฝั‹ั… ัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ั… ะฟั€ะพะตะบั‚ะพะฒ. ะญั‚ะพ ัะฟะพัะพะฑัั‚ะฒัƒะตั‚ ัะฑะตั€ะตะถะตะฝะธัŽ ะดะตะฝะตะถะฝั‹ั… ั€ะตััƒั€ัะพะฒ ะธ ะดะพัั‚ะธั‡ัŒ ะฑะพะปัŒัˆะตะน ะดะพั…ะพะดะฝะพัั‚ะธ ะธะฝะฒะตัั‚ะธั†ะธะน.
    ะŸะพะดั€ะพะฑะฝะตะต ะฝะฐ [url=https://xn--73-6kchjy.xn--p1ai/]https://scholding.ru/[/url]
    ะ’ ะทะฐะบะปัŽั‡ะตะฝะธะต, ัะพะพั€ัƒะถะตะฝะธั ะฑั‹ัั‚ั€ะพะณะพ ะผะพะฝั‚ะฐะถะฐ – ัั‚ะพ ะพะฟั‚ะธะผะฐะปัŒะฝะพะต ั€ะตัˆะตะฝะธะต ะดะปั ะฑะธะทะฝะตั-ะผะตั€ะพะฟั€ะธัั‚ะธะน. ะžะฝะธ ะฒะบะปัŽั‡ะฐัŽั‚ ะฒ ัะตะฑั ัะบะพั€ะพัั‚ัŒ ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะฐ, ั„ะธะฝะฐะฝัะพะฒัƒัŽ ัั„ั„ะตะบั‚ะธะฒะฝะพัั‚ัŒ ะธ ะฝะฐะดะตะถะฝั‹ะต ั…ะฐั€ะฐะบั‚ะตั€ะธัั‚ะธะบะธ, ั‡ั‚ะพ ะฟั€ะธะดะฐะตั‚ ะธะผ ัะฟะพัะพะฑะฝะพัั‚ัŒ ะปัƒั‡ัˆะธะผ ะฒั‹ะฑะพั€ะพะผ ะดะปั ะบะพะผะฟะฐะฝะธะน, ะพั€ะธะตะฝั‚ะธั€ะพะฒะฐะฝะฝั‹ั… ะฝะฐ ะพะฟะตั€ะฐั‚ะธะฒะฝั‹ะน ะฑะธะทะฝะตั-ัั‚ะฐั€ั‚ ะธ ะพะฑะตัะฟะตั‡ะธะฒะฐั‚ัŒ ะดะพั…ะพะด. ะะต ัƒะฟัƒัั‚ะธั‚ะต ะฒะพะทะผะพะถะฝะพัั‚ัŒ ััะบะพะฝะพะผะธั‚ัŒ ะฒั€ะตะผั ะธ ัั€ะตะดัั‚ะฒะฐ, ะฝะฐะธะปัƒั‡ัˆะธะต ะพะฑัŠะตะบั‚ั‹ ะฑั‹ัั‚ั€ะพะณะพ ะฒะพะทะฒะพะดะฐ ะดะปั ะฒะฐัˆะธั… ะฑัƒะดัƒั‰ะธั… ะฟั€ะพะตะบั‚ะพะฒ!

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  21. ะกะบะพั€ะพัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ะทะดะฐะฝะธั: ะฑะธะทะฝะตั-ะฟะพะปัŒะทะฐ ะฒ ะบะฐะถะดะพะผ ะฑะปะพะบะต!
    ะ’ ัะพะฒั€ะตะผะตะฝะฝะพะผ ะพะฑั‰ะตัั‚ะฒะต, ะณะดะต ะฒั€ะตะผั ะธะผะตะตั‚ ะทะฝะฐั‡ะตะฝะธะต, ะฑั‹ัั‚ั€ะพะฒะพะทะฒะพะดะธะผั‹ะต ะทะดะฐะฝะธั ัั‚ะฐะปะธ ั€ะตัˆะตะฝะธะตะผ ะฟะพ ััƒั‚ะธ ะดะปั ะบะพะผะผะตั€ั‡ะตัะบะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ. ะญั‚ะธ ะธะฝะฝะพะฒะฐั†ะธะพะฝะฝั‹ะต ะบะพะฝัั‚ั€ัƒะบั†ะธะธ ะฒะบะปัŽั‡ะฐัŽั‚ ะฒ ัะตะฑั ัƒัั‚ะพะนั‡ะธะฒะพัั‚ัŒ, ั„ะธะฝะฐะฝัะพะฒัƒัŽ ัั„ั„ะตะบั‚ะธะฒะฝะพัั‚ัŒ ะธ ะผะณะฝะพะฒะตะฝะฝัƒัŽ ัะฑะพั€ะบัƒ, ั‡ั‚ะพ ะดะฐะตั‚ ะธะผ ะฒะพะทะผะพะถะฝะพัั‚ัŒ ะฟั€ะตะฒะพัั…ะพะดะฝั‹ะผ ะฒั‹ะฑะพั€ะพะผ ะดะปั ะฑะธะทะฝะตั-ะฟั€ะพะตะบั‚ะพะฒ ั€ะฐะทะฝั‹ั… ะผะฐััˆั‚ะฐะฑะพะฒ.
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    1. ะ‘ั‹ัั‚ั€ะพะต ะฒะพะทะฒะตะดะตะฝะธะต: ะกะตะบัƒะฝะดั‹ – ัะฐะผะพะต ั†ะตะฝะฝะพะต ะฒ ะบะพะผะผะตั€ั‡ะตัะบะพะน ะดะตัั‚ะตะปัŒะฝะพัั‚ะธ, ะธ ัะบะพั€ะพ ะฒะพะทะฒะพะดะธะผั‹ะต ัั‚ั€ะพะตะฝะธั ัะฟะพัะพะฑัั‚ะฒัƒัŽั‚ ะทะฝะฐั‡ะธั‚ะตะปัŒะฝะพะผัƒ ัะพะบั€ะฐั‰ะตะฝะธัŽ ัั€ะพะบะพะฒ ะฒะพะทะฒะตะดะตะฝะธั. ะญั‚ะพ ะฟั€ะตะธะผัƒั‰ะตัั‚ะฒะตะฝะฝะพ ะฒะฐะถะฝะพ ะฒ ัั†ะตะฝะฐั€ะธัั…, ะบะพะณะดะฐ ะฐะบั‚ัƒะฐะปัŒะฝะพ ะฑั‹ัั‚ั€ะพ ะฝะฐั‡ะฐั‚ัŒ ะฒะตัั‚ะธ ะดะตะปะพ ะธ ะฝะฐั‡ะฐั‚ัŒ ะฟะพะปัƒั‡ะฐั‚ัŒ ะฟั€ะธะฑั‹ะปัŒ.
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    ะ’ ะทะฐะบะปัŽั‡ะตะฝะธะต, ัะบะพั€ะพัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ัะพะพั€ัƒะถะตะฝะธั – ัั‚ะพ ะธะดะตะฐะปัŒะฝะพะต ั€ะตัˆะตะฝะธะต ะดะปั ะฑะธะทะฝะตั-ะฟั€ะพะตะบั‚ะพะฒ. ะžะฝะธ ะฒะบะปัŽั‡ะฐัŽั‚ ะฒ ัะตะฑั ะฑั‹ัั‚ั€ะพั‚ัƒ ะผะพะฝั‚ะฐะถะฐ, ัั„ั„ะตะบั‚ะธะฒะฝะพะต ะธัะฟะพะปัŒะทะพะฒะฐะฝะธะต ั€ะตััƒั€ัะพะฒ ะธ ั‚ะฒะตั€ะดะพัั‚ัŒ, ั‡ั‚ะพ ะดะตะปะฐะตั‚ ะธั… ะพั‚ะปะธั‡ะฝั‹ะผ ะฒั‹ะฑะพั€ะพะผ ะดะปั ะบะพะผะฟะฐะฝะธะน, ะพั€ะธะตะฝั‚ะธั€ะพะฒะฐะฝะฝั‹ั… ะฝะฐ ะพะฟะตั€ะฐั‚ะธะฒะฝั‹ะน ะฑะธะทะฝะตั-ัั‚ะฐั€ั‚ ะธ ะณะฐั€ะฐะฝั‚ะธั€ะพะฒะฐั‚ัŒ ะฟั€ะธะฑั‹ะปัŒ. ะะต ัƒะฟัƒัั‚ะธั‚ะต ัˆะฐะฝั ัะบะพะฝะพะผะธะธ ะฒั€ะตะผะตะฝะธ ะธ ะดะตะฝะตะณ, ะฝะฐะธะปัƒั‡ัˆะธะต ะพะฑัŠะตะบั‚ั‹ ะฑั‹ัั‚ั€ะพะณะพ ะฒะพะทะฒะพะดะฐ ะดะปั ะฒะฐัˆะตะณะพ ัะปะตะดัƒัŽั‰ะตะณะพ ะฝะฐั‡ะธะฝะฐะฝะธั!

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    ะ’ ัะพะฒั€ะตะผะตะฝะฝะพะผ ะผะธั€ะต, ะณะดะต ะฒั€ะตะผั ะธะผะตะตั‚ ะทะฝะฐั‡ะตะฝะธะต, ะพะฑัŠะตะบั‚ั‹ ะฑั‹ัั‚ั€ะพะณะพ ะฒะพะทะฒะพะดะฐ ัั‚ะฐะปะธ ั€ะตะฐะปัŒะฝั‹ะผ ัะฟะฐัะตะฝะธะตะผ ะดะปั ะบะพะผะผะตั€ั†ะธะธ. ะญั‚ะธ ะธะฝะฝะพะฒะฐั†ะธะพะฝะฝั‹ะต ะบะพะฝัั‚ั€ัƒะบั†ะธะธ ัะพั‡ะตั‚ะฐัŽั‚ ะฒ ัะตะฑะต ะฒั‹ัะพะบัƒัŽ ะฟั€ะพั‡ะฝะพัั‚ัŒ, ัะบะพะฝะพะผะธั‡ะฝะพะต ะธัะฟะพะปัŒะทะพะฒะฐะฝะธะต ั€ะตััƒั€ัะพะฒ ะธ ะฑั‹ัั‚ั€ะพั‚ัƒ ัƒัั‚ะฐะฝะพะฒะบะธ, ั‡ั‚ะพ ะฟั€ะธะดะฐะตั‚ ะธะผ ัะฟะพัะพะฑะฝะพัั‚ัŒ ะฝะฐะธะปัƒั‡ัˆะธะผ ะฒะฐั€ะธะฐะฝั‚ะพะผ ะดะปั ะบะพะผะผะตั€ั‡ะตัะบะธั… ะผะตั€ะพะฟั€ะธัั‚ะธะน.
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    1. ะœะพะปะฝะธะตะฝะพัะฝะพะต ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ: ะ’ั€ะตะผั – ัั‚ะพ ัะฐะผั‹ะน ะฒะฐะถะฝั‹ะน ั€ะตััƒั€ั ะฒ ัะบะพะฝะพะผะธะบะต, ะธ ัะบะพั€ะพัั‚ั€ะพะธั‚ะตะปัŒะฝั‹ะต ะบะพะฝัั‚ั€ัƒะบั†ะธะธ ะพะฑะตัะฟะตั‡ะธะฒะฐัŽั‚ ััƒั‰ะตัั‚ะฒะตะฝะฝะพะต ัƒะผะตะฝัŒัˆะตะฝะธะต ัั€ะพะบะพะฒ ัั‚ั€ะพะนะบะธ. ะญั‚ะพ ะทะฝะฐั‡ะธั‚ะตะปัŒะฝะพ ั†ะตะฝะธั‚ัั ะฒ ัะปัƒั‡ะฐัั…, ะบะพะณะดะฐ ะฒะฐะถะฝะพ ะฑั‹ัั‚ั€ะพ ะฝะฐั‡ะฐั‚ัŒ ะฒะตัั‚ะธ ะฑะธะทะฝะตั ะธ ะฝะฐั‡ะฐั‚ัŒ ะฟะพะปัƒั‡ะฐั‚ัŒ ะดะพั…ะพะด.
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    ะ’ ะทะฐะบะปัŽั‡ะตะฝะธะต, ัะพะพั€ัƒะถะตะฝะธั ะฑั‹ัั‚ั€ะพะณะพ ะผะพะฝั‚ะฐะถะฐ – ัั‚ะพ ะพั‚ะปะธั‡ะฝะพะต ั€ะตัˆะตะฝะธะต ะดะปั ะฑะธะทะฝะตั-ะฟั€ะพะตะบั‚ะพะฒ. ะžะฝะธ ัะพั‡ะตั‚ะฐัŽั‚ ะฒ ัะตะฑะต ัั„ั„ะตะบั‚ะธะฒะฝะพะต ัั‚ั€ะพะธั‚ะตะปัŒัั‚ะฒะพ, ั„ะธะฝะฐะฝัะพะฒัƒัŽ ะฒั‹ะณะพะดัƒ ะธ ัƒัั‚ะพะนั‡ะธะฒะพัั‚ัŒ, ั‡ั‚ะพ ะฟั€ะธะดะฐะตั‚ ะธะผ ัะฟะพัะพะฑะฝะพัั‚ัŒ ะธะดะตะฐะปัŒะฝั‹ะผ ะฒั‹ะฑะพั€ะพะผ ะดะปั ะบะพะผะฟะฐะฝะธะน, ะฐะบั‚ะธะฒะฝะพ ะฝะฐั†ะตะปะตะฝะฝั‹ั… ะฝะฐ ัะบะพั€ั‹ะน ัั‚ะฐั€ั‚ ะฑะธะทะฝะตัะฐ ะธ ะฟะพะปัƒั‡ะฐั‚ัŒ ะดะพั…ะพะด. ะะต ัƒะฟัƒัั‚ะธั‚ะต ะฒะพะทะผะพะถะฝะพัั‚ัŒ ัะพะบั€ะฐั‚ะธั‚ัŒ ะธะทะดะตั€ะถะบะธ ะธ ััะบะพะฝะพะผะธั‚ัŒ ะฒั€ะตะผั, ะฒั‹ะฑั€ะฐะฒ ะฑั‹ัั‚ั€ะพะฒะพะทะฒะพะดะธะผั‹ะต ะทะดะฐะฝะธั ะดะปั ะฒะฐัˆะตะน ะฑัƒะดัƒั‰ะตะน ะทะฐะดะฐั‡ะธ!

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  25. ะ’ั‹ะฑะพั€ ั‚ะธะฟะฐ ัั‚ะฐะฑะธะปะธะทะฐั‚ะพั€ะฐ ะฝะฐะฟั€ัะถะตะฝะธั ะทะฐะฒะธัะธั‚ ะพั‚ ะบะพะฝะบั€ะตั‚ะฝั‹ั… ัƒัะปะพะฒะธะน ะธ ั‚ั€ะตะฑะพะฒะฐะฝะธะน. ะ’ะพั‚ ะฝะตะบะพั‚ะพั€ั‹ะต ั€ะฐัะฟั€ะพัั‚ั€ะฐะฝะตะฝะฝั‹ะต ั‚ะธะฟั‹ ัั‚ะฐะฑะธะปะธะทะฐั‚ะพั€ะพะฒ ะฝะฐะฟั€ัะถะตะฝะธั ะธ ะธั… ะพัะพะฑะตะฝะฝะพัั‚ะธ

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  26. ะ’ ะ ะพััะธะธ ะฝะฐะฟั€ัะถะตะฝะธะต ะฒ ัะปะตะบั‚ั€ะธั‡ะตัะบะพะน ัะตั‚ะธ ั€ะตะณัƒะปะธั€ัƒะตั‚ัั ัั‚ะฐะฝะดะฐั€ั‚ะฐะผะธ ะ“ะžะกะข ะ  50571.1-2013 ะธ ะ“ะžะกะข ะ  50571.2-2013. ะกะพะณะปะฐัะฝะพ ัั‚ะธะผ ัั‚ะฐะฝะดะฐั€ั‚ะฐะผ, ะฒ ะ ะพััะธะธ ะฟั€ะธะผะตะฝััŽั‚ัั ะดะฒะฐ ะพัะฝะพะฒะฝั‹ั… ัƒั€ะพะฒะฝั ะฝะฐะฟั€ัะถะตะฝะธั ะฒ ัะปะตะบั‚ั€ะธั‡ะตัะบะพะน ัะตั‚ะธ: 220/380 ะ’ ะธ 110/220 ะ’.

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    ะ’ ะทะฐะบะปัŽั‡ะตะฝะธะต, ัะบะพั€ะพ ะฒะพะทะฒะพะดะธะผั‹ะต ัั‚ั€ะพะตะฝะธั – ัั‚ะพ ะฟั€ะตะฒะพัั…ะพะดะฝะพะต ั€ะตัˆะตะฝะธะต ะดะปั ะบะพะผะผะตั€ั‡ะตัะบะธั… ะฟั€ะพะตะบั‚ะพะฒ. ะžะฝะธ ะพะฑัŠะตะดะธะฝััŽั‚ ะฒ ัะตะฑะต ัƒัะบะพั€ะตะฝะฝัƒัŽ ัƒัั‚ะฐะฝะพะฒะบัƒ, ะฑัŽะดะถะตั‚ะฝะพัั‚ัŒ ะธ ั‚ะฒะตั€ะดะพัั‚ัŒ, ั‡ั‚ะพ ะฟะพะทะฒะพะปัะตั‚ ะธะผ ะฟั€ะตะฒะพัั…ะพะดะฝั‹ะผ ะฒั‹ะฑะพั€ะพะผ ะดะปั ั„ะธั€ะผ, ะณะพั‚ะพะฒั‹ั… ะบ ะผะณะฝะพะฒะตะฝะฝะพะผัƒ ะฝะฐั‡ะฐะปัƒ ะฑะธะทะฝะตัะฐ ะธ ะธะทะฒะปะตะบะฐั‚ัŒ ะฟั€ะธะฑั‹ะปัŒ. ะะต ัƒะฟัƒัั‚ะธั‚ะต ัˆะฐะฝั ัะบะพะฝะพะผะธะธ ะฒั€ะตะผะตะฝะธ ะธ ะดะตะฝะตะณ, ะฟั€ะตะบั€ะฐัะฝะพ ัะตะฑั ะฟะพะบะฐะทะฐะฒัˆะธะต ะฑั‹ัั‚ั€ะพะฒะพะทะฒะพะดะธะผั‹ะต ัะพะพั€ัƒะถะตะฝะธั ะดะปั ะฒะฐัˆะตะณะพ ะฟั€ะตะดัั‚ะพัั‰ะตะณะพ ะฟั€ะตะดะฟั€ะธัั‚ะธั!

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    ะฃะถะต ัะตะนั‡ะฐั ะฝะฐัˆะธ ะบะปะธะตะฝั‚ั‹ ะฟะพะปัƒั‡ะฐัŽั‚ ั€ะตะทัƒะปัŒั‚ะฐั‚ั‹: ั€ะพัั‚ ะฟะพัะตั‰ะฐะตะผะพัั‚ะธ, ัƒะปัƒั‡ัˆะตะฝะธะต ั€ะตะนั‚ะธะฝะณะฐ ะฒ ะฟะพะธัะบะพะฒั‹ั… ะทะฐะฟั€ะพัะฐั… ะธ, ะบะพะฝะตั‡ะฝะพ, ัƒะฒะตะปะธั‡ะตะฝะธะต ะฟั€ะธะฑั‹ะปะธ. ะ’ั‹ ะผะพะถะตั‚ะต ะฟะพะปัƒั‡ะธั‚ัŒ ะฑะตัะฟะปะฐั‚ะฝัƒัŽ ะบะพะฝััƒะปัŒั‚ะฐั†ะธัŽ ัƒ ะฝะฐั, ะดะปั ั‚ะพะณะพ ั‡ั‚ะพะฑั‹ ะพะฑััƒะดะธั‚ัŒ ะฒะฐัˆะธ ะฟะพั‚ั€ะตะฑะฝะพัั‚ะธ ะธ ั€ะฐะทั€ะฐะฑะพั‚ะฐั‚ัŒ ัั‚ั€ะฐั‚ะตะณะธัŽ ะฟั€ะพะดะฒะธะถะตะฝะธั, ัะพะพั‚ะฒะตั‚ัั‚ะฒัƒัŽั‰ัƒัŽ ะฒะฐัˆะธะผ ั†ะตะปัะผ ะธ ั„ะธะฝะฐะฝัะพะฒั‹ะผ ะฒะพะทะผะพะถะฝะพัั‚ัะผ.
    ะะต ัƒะฟัƒัั‚ะธั‚ะต ัˆะฐะฝั ัƒะปัƒั‡ัˆะธั‚ัŒ ัะฒะพะธ ั€ะตะทัƒะปัŒั‚ะฐั‚ั‹ ะฒ ะธะฝั‚ะตั€ะฝะตั‚ะต. ะžะฑั€ะฐั‰ะฐะนั‚ะตััŒ ะบ ะฝะฐะผ ัƒะถะต ัะตะณะพะดะฝั.

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  64. sandyterrace.com
    Hongzhi ํ™ฉ์ œ๋Š” ๊ฐ‘์ž๊ธฐ ๋ฏธ์†Œ๋ฅผ์ง€์—ˆ์Šต๋‹ˆ๋‹ค. “์ด ๋ถ€์„œ์˜ ์ฑ…์ž„์ž ์ธ Ouyang Zhi๋Š” ์–ด๋””์— ์žˆ์Šต๋‹ˆ๊นŒ?”

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  65. sandyterrace.com
    “๊ทธ์˜ ์ „ํ•˜!”Fang Jifan์ด ์†Œ๋ฆฌ ์ณค์Šต๋‹ˆ๋‹ค. “์ข€ ์ฐพ์•„์ฃผ์„ธ์š”. ์žฌํ‚ท์„ ์ž…๊ณ  ์‹ถ์–ด์š”!”

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