Goldberg 2.5.1



Main » Programming » Goldberg Emulator v0.2.5: 1 Year of Steam Emulator Developm Pages: 1 Screwtape: Posted on 19-08-14, 03:21 Full mod Post: #316 of 430 Since: 10-30-18 Last post: 6 days Last view: 20 hours Goldberg Emulator is 'a steam. Matchmaker Dolly Levi travels to Yonkers to find a partner for 'half-a-millionaire' Horace Vandergelder, convincing his niece, his niece's intended, and his two clerks to travel to New York City along the way. In the 1980s, Lewis Goldberg started his own lexical project, again emphasizing five broad factors which he later labeled the 'Big Five'. (2016) tested how these 25 facets could be integrated with the 10-factor structure of traits within the Big Five.

  • Optics Letters
  • Vol. 42,
  • Issue 5,
  • pp. 995-998
  • (2017)
  • https://doi.org/10.1364/OL.42.000995
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    William J. Shain, Nicholas A. Vickers, Bennett B. Goldberg, Thomas Bifano, and Jerome Mertz, 'Extended depth-of-field microscopy with a high-speed deformable mirror,' Opt. Lett. 42, 995-998 (2017)
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Abstract

We present a wide-field fluorescence microscopy add-on that provides a fast, light-efficient extended depth-of-field (EDOF) using a deformable mirror with an update rate of 20 kHz. Out-of-focus contributions in the raw EDOF images are suppressed with a deconvolution algorithm derived directly from the microscope 3D optical transfer function. Demonstrations of the benefits of EDOF microscopy are shown with GCaMP-labeled mouse brain tissue.

© 2017 Optical Society of America

Full Article | PDF ArticleMore Like ThisDual fluorescence-absorption deconvolution applied to extended-depth-of-field microscopy

William J. Shain, Nicholas A. Vickers, Awoke Negash, Thomas Bifano, Anne Sentenac, and Jerome Mertz
Opt. Lett. 42(20) 4183-4186 (2017)

Axial localization with modulated-illumination extended-depth-of-field microscopy

William J. Shain, Nicholas A. Vickers, Jiang Li, Xue Han, Thomas Bifano, and Jerome Mertz
Biomed. Opt. Express 9(4) 1771-1782 (2018)

Calcium imaging of neural circuits with extended depth-of-field light-sheet microscopy

Sean Quirin, Nikita Vladimirov, Chao-Tsung Yang, Darcy S. Peterka, Rafael Yuste, and Misha B. Ahrens
Opt. Lett. 41(5) 855-858 (2016)

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Goldberg 2.5.1

Figures (6)

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Equations (7)

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Hard Life
Time Limit: 8000MSMemory Limit: 65536K
Total Submissions: 10961Accepted: 3202
Case Time Limit: 2000MSSpecial Judge

Goldberg 2019

Description

John is a Chief Executive Officer at a privately owned medium size company. The owner of the company has decided to make his son Scott a manager in the company. John fears that the owner will ultimately give CEO position to Scott if he does well on his new manager position, so he decided to make Scott’s life as hard as possible by carefully selecting the team he is going to manage in the company.

John knows which pairs of his people work poorly in the same team. John introduced a hardness factor of a team — it is a number of pairs of people from this team who work poorly in the same team divided by the total number of people in the team. The larger is the hardness factor, the harder is this team to manage. John wants to find a group of people in the company that are hardest to manage and make it Scott’s team. Please, help him.

In the example on the picture the hardest team consists of people 1, 2, 4, and 5. Among 4 of them 5 pairs work poorly in the same team, thus hardness factor is equal to 54. If we add person number 3 to the team then hardness factor decreases to 65.

Input

The first line of the input file contains two integer numbers n and m (1 ≤ n ≤ 100, 0 ≤ m ≤ 1000). Here n is a total number of people in the company (people are numbered from 1 to n), and m is the number of pairs of people who work poorly in the same team. Next m lines describe those pairs with two integer numbers ai and bi (1 ≤ ai, bin, aibi) on a line. The order of people in a pair is arbitrary and no pair is listed twice.

Goldberg

Output

Write to the output file an integer number k (1 ≤ kn) — the number of people in the hardest team, followed by k lines listing people from this team in ascending order. If there are multiple teams with the same hardness factor then write any one.

Sample Input

Goldberg 2015

Sample Output

Hint

Goldberg 2016

Note, that in the last example any team has hardness factor of zero, and any non-empty list of people is a valid answer.

Goldberg 2012

Source