11,791
12K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 11,791
favorite 5
comment 0
Source: http://academictorrents.com/details/e24c15ce89cac9c380284595d1d8a475cb485e28
14,414
14K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 14,414
favorite 4
comment 0
Source: http://academictorrents.com/details/7bfcfbaf2c53588b23ba1ebccae47a2b9c5197b7
11,597
12K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 11,597
favorite 6
comment 0
Source: http://academictorrents.com/details/b7579be97c2f01e4efadb0b6b06f0d071afeaac9
5,918
5.9K
Aug 12, 2018
08/18
by
Caltech
movies
eye 5,918
favorite 1
comment 0
Source: http://academictorrents.com/details/a0af8db9e7b924993ee017e492195b3eb1b0a78b
4,738
4.7K
Aug 12, 2018
08/18
by
Jia Deng; Wei Dong; Richard Socher; Li-Jia Li; Kai Li; Li Fei-Fei
data
eye 4,738
favorite 0
comment 0
ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a "synonym set" or "synset". There are more than 100,000 synsets in WordNet, majority of them are nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will...
Topics: imagenet, deep learning
Source: http://academictorrents.com/details/564a77c1e1119da199ff32622a1609431b9f1c47
14,376
14K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 14,376
favorite 20
comment 0
Source: http://academictorrents.com/details/1448261dd6932e549ba4a86b5d6750aae858d003
14,877
15K
Aug 12, 2018
08/18
by
Alex Aiken (Stanford University)
movies
eye 14,877
favorite 20
comment 0
This course will discuss the major ideas used today in the implementation of programming language compilers. You will learn how a program written in a high-level language designed for humans is systematically translated into a program written in low-level assembly more suited to machines!
Source: http://academictorrents.com/details/e31e54905c7b2669c81fe164de2859be4697013a
11,453
11K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 11,453
favorite 10
comment 0
Source: http://academictorrents.com/details/e8b1f9c5bf555fe58bc73addb83457dd6da69630
13,815
14K
Aug 12, 2018
08/18
by
École Polytechnique Fédérale de Lausanne
movies
eye 13,815
favorite 4
comment 0
Topics: Coursera, dsp
Source: http://academictorrents.com/details/43d881e5128841876104742314ccd9851901f460
5,141
5.1K
Aug 12, 2018
08/18
by
Columbia University
movies
eye 5,141
favorite 5
comment 0
Source: http://academictorrents.com/details/8a8f93e18dd6c46c48ee2936ed500b1ff4cc9175
7,350
7.4K
Aug 12, 2018
08/18
by
Philip Klein (Brown University)
movies
eye 7,350
favorite 8
comment 0
When you take a digital photo with your phone or transform the image in Photoshop, when you play a video game or watch a movie with digital effects, when you do a web search or make a phone call, you are using technologies that build upon linear algebra. Linear algebra provides concepts that are crucial to many areas of computer science, including graphics, image processing, cryptography, machine learning, computer vision, optimization, graph algorithms, quantum computation, computational...
Source: http://academictorrents.com/details/54cd86f3038dfd446b037891406ba4e0b1200d5a
9,428
9.4K
Aug 12, 2018
08/18
by
Perry G Mehrling (Columbia University)
movies
eye 9,428
favorite 3
comment 0
The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought...
Source: http://academictorrents.com/details/970f4ee32d1a49168466a517b3dcd0442b043abc
4,900
4.9K
Aug 12, 2018
08/18
by
University of Toronto
movies
eye 4,900
favorite 6
comment 0
Source: http://academictorrents.com/details/3e6f1876bbd46780602e72f4b122329fb668bd2c
4,438
4.4K
Feb 11, 2019
02/19
by
Tom Mitchell,CMU
movies
eye 4,438
favorite 3
comment 0
http://www.cs.cmu.edu/~tom/10601_fall2012/lectures.shtml
Topics: machine learning, Tom Mitchell
Source: http://academictorrents.com/details/35b6b8bf0c2931ba7ecd8a1a8e65fa32f3e7473f
3,849
3.8K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 3,849
favorite 3
comment 0
Source: http://academictorrents.com/details/de1360e53beb1ee13c3285af9bb232109fa168a1
7,521
7.5K
Aug 12, 2018
08/18
by
Ludwig-Maximilians-Universität München (LMU)
movies
eye 7,521
favorite 4
comment 0
Topics: Coursera, qoptintro
Source: http://academictorrents.com/details/b1f4d8ccee24aa956f6226607612ce8867b235a3
2,245
2.2K
movies
eye 2,245
favorite 2
comment 0
An archive of UC Berkeley Computer Science Courses
Source: http://academictorrents.com/details/5e84be34f69b1a313f6dcb51667edf238d5d4412
6,754
6.8K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 6,754
favorite 1
comment 0
Source: http://academictorrents.com/details/be19083019ae3954680733d394e5e5b5b3572a15
7,082
7.1K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 7,082
favorite 6
comment 0
Source: http://academictorrents.com/details/4281ef52a65d26489e686a0540d86abd4161b88e
5,075
5.1K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 5,075
favorite 3
comment 0
Source: http://academictorrents.com/details/6f7e43052129b95f470d3043cfce2bf5c15ae380
7,663
7.7K
Aug 12, 2018
08/18
by
Princeton University
movies
eye 7,663
favorite 2
comment 0
Source: http://academictorrents.com/details/10d1bf7161a1b3ea70697cd61834ceea6c3d1f87
9,783
9.8K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 9,783
favorite 10
comment 0
Source: http://academictorrents.com/details/f07203f2eedb4792c351ba0e28406dab9ab54d7d
5,107
5.1K
Aug 12, 2018
08/18
by
Princeton University
movies
eye 5,107
favorite 2
comment 0
Source: http://academictorrents.com/details/5c22cd3a2f65f18e153faefda9730b51b21f6521
7,027
7.0K
Aug 12, 2018
08/18
by
University of Illinois at Urbana-Champaign
movies
eye 7,027
favorite 2
comment 0
Source: http://academictorrents.com/details/ec1c86afefda42f4b36c34ae7b235ef0bfd6b9d3
6,233
6.2K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 6,233
favorite 6
comment 0
Source: http://academictorrents.com/details/b63a566df824b39740eb9754e4fe4c0140306f4b
7,111
7.1K
movies
eye 7,111
favorite 12
comment 0
"Demanding, but definitely doable. Social, but educational. A focused topic, but broadly applicable skills. CS50 is the quintessential Harvard (and Yale!) course. Hello, world! This is CS50 (aka CS50x through edX), Harvard University's introduction to the intellectual enterprises of computer science and the art of programming. Introduction to the intellectual enterprises of computer science and the art of programming. This course teaches students how to think algorithmically and solve...
Topics: Science, course, introduction, computer, cs50x, harvard, yale
Source: http://academictorrents.com/details/52da574b6412862e199abeaea63e51bf8cea2140
6,905
6.9K
Aug 12, 2018
08/18
by
University of Michigan
movies
eye 6,905
favorite 4
comment 0
Source: http://academictorrents.com/details/78515f90de063ffc144be5e7e726c03849b4e0ed
5,987
6.0K
Aug 12, 2018
08/18
by
University of Illinois at Urbana-Champaign
movies
eye 5,987
favorite 0
comment 0
Source: http://academictorrents.com/details/de34574326abc4666c7ede41d0205a4a2129bf85
8,308
8.3K
Aug 12, 2018
08/18
by
University of Michigan
movies
eye 8,308
favorite 3
comment 0
Source: http://academictorrents.com/details/05a8fe3f7e3420df6b83f40b0cbccd05e591d9f4
2,057
2.1K
Aug 12, 2018
08/18
by
Caltech
movies
eye 2,057
favorite 0
comment 0
Source: http://academictorrents.com/details/71268d279bcfcd9d88c8989c72158d8d73a2e2fc
5,035
5.0K
Aug 12, 2018
08/18
by
Perry G Mehrling (Columbia University)
movies
eye 5,035
favorite 3
comment 0
The last three or four decades have seen a remarkable evolution in the institutions that comprise the modern monetary system. The financial crisis of 2007-2009 is a wakeup call that we need a similar evolution in the analytical apparatus and theories that we use to understand that system. Produced and sponsored by the Institute for New Economic Thinking, this course is an attempt to begin the process of new economic thinking by reviving and updating some forgotten traditions in monetary thought...
Source: http://academictorrents.com/details/62fe3cfdec4d19d1d3bf98184b12538a46b783f5
5,387
5.4K
Jul 30, 2018
07/18
by
MIT OCW
movies
eye 5,387
favorite 3
comment 0
This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python? programming language.
Source: http://academictorrents.com/details/f7c9a9db5d0d9a1e0f2f383ec629fefffa475ae5
5,205
5.2K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 5,205
favorite 3
comment 0
Source: http://academictorrents.com/details/d180bcd510aeec3a20044a0946ac658b9ab30760
4,402
4.4K
Aug 12, 2018
08/18
by
Coursera
movies
eye 4,402
favorite 4
comment 0
Source: http://academictorrents.com/details/01212a89f842f5ad1364c7fa3a8c4c514e2b26ab
1,326
1.3K
Feb 11, 2019
02/19
by
Pedro Domingos
movies
eye 1,326
favorite 0
comment 0
Video Lecture of Course Data Mining & Machine Learning by Prof Pedro Domingos, University of Washington USA.
Topics: Pedro Domingos, Machine Learning Course, University of Washington
Source: http://academictorrents.com/details/0db676a6aaff8c33f9749d5f9c0fa22bf336bc76
6,369
6.4K
Aug 12, 2018
08/18
by
University of Maryl
movies
eye 6,369
favorite 3
comment 0
An introduction to quantum physics with emphasis on topics at the frontiers of research, and developing understanding through exercise. Quantum physics is the foundation for much of modern technology, provides the framework for understanding light and matter from the subatomic to macroscopic domains, and makes possible the most precise measurements ever made. More than just a theory, it offers a way of looking at the world that grows richer with experience and practice. Our course will provide...
Source: http://academictorrents.com/details/f24122f15283757aa8a9bf9cb638db266273442d
3,288
3.3K
Aug 12, 2018
08/18
by
Coursera
movies
eye 3,288
favorite 6
comment 0
Source: http://academictorrents.com/details/dfc1ddde962101f00ef9764b91181bd6bb5c9e93
6,816
6.8K
Aug 12, 2018
08/18
by
The University of Edinburgh
movies
eye 6,816
favorite 6
comment 0
Source: http://academictorrents.com/details/8033015783d2df3e8b33a343edb8cea9a0b8319a
7,074
7.1K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 7,074
favorite 3
comment 0
Source: http://academictorrents.com/details/91bc48e6c8341de198c970acccdc87199391ab46
3,907
3.9K
Aug 12, 2018
08/18
by
The University of Melbourne
movies
eye 3,907
favorite 4
comment 0
Source: http://academictorrents.com/details/aa0902f96da833cc7f4ec70859a529276f5032d9
8,180
8.2K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 8,180
favorite 3
comment 0
Source: http://academictorrents.com/details/d2c8f8f1651740520b7dfab23438d89bc8c0c0ab
10,138
10K
Aug 12, 2018
08/18
by
University of Washington
movies
eye 10,138
favorite 5
comment 0
Source: http://academictorrents.com/details/cb91a3d7a4c4c086be240b54e83ed8d587b31ff5
7,446
7.4K
Jul 30, 2018
07/18
by
ColumbiaX
movies
eye 7,446
favorite 5
comment 0
Seed
Topics: AI, edx, artifical, intelligence, course, deep, learning, natural, language, processing, ColumbiaX,...
Source: http://academictorrents.com/details/5daa22057577521a378b71e0f0de6a934bd5c2ea
3,360
3.4K
Aug 12, 2018
08/18
by
Coursera
movies
eye 3,360
favorite 1
comment 0
Source: http://academictorrents.com/details/271e22f67c7bda33158f2d83f443728cd749cd42
2,310
2.3K
Aug 12, 2018
08/18
by
Coursera
movies
eye 2,310
favorite 3
comment 0
Source: http://academictorrents.com/details/f871965e36ec21677d44375930d6cbb0dab7bfb3
8,582
8.6K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 8,582
favorite 3
comment 0
In this class, you will learn the basics of the PGM representation and how to construct them, using both human knowledge and machine learning techniques. Uncertainty is unavoidable in real-world applications: we can almost never predict with certainty what will happen in the future, and even in the present and the past, many important aspects of the world are not observed with certainty. Probability theory gives us the basic foundation to model our beliefs about the different possible states of...
Source: http://academictorrents.com/details/e74f08f0fc699e84a9eb046309727d07d80171c5
4,083
4.1K
Aug 12, 2018
08/18
by
Coursera
movies
eye 4,083
favorite 2
comment 0
Source: http://academictorrents.com/details/d0262f08717ba584551357e4bf8c1945dc6d6935
4,287
4.3K
Aug 12, 2018
08/18
by
The University of Edinburgh
movies
eye 4,287
favorite 2
comment 0
Source: http://academictorrents.com/details/8dcd401c1b3db696fc2f04d3b49c850f0e5cc309
4,408
4.4K
Aug 12, 2018
08/18
by
Caltech
movies
eye 4,408
favorite 3
comment 0
Source: http://academictorrents.com/details/b7d15931742718f330243dc0aeb110136c86359f
913
913
Aug 12, 2018
08/18
by
ARCHIVE TEAM
data
eye 913
favorite 3
comment 0
This is a collection of Geocities data downloaded by a bunch of people who call themselves ARCHIVE TEAM, who began scraping the Yahoo! Geocities site during a six month period in 2009, before Yahoo! shut down geocities.com on October 26th, 2009. This collection is compressed in a UNIX filesystem with both 7zip archives and tape archives (gtar). If you're a bit of a data tourist and just want to waft in the scent of a web era gone by, please go to one of the Geocities mirrors that were put up in...
Source: http://academictorrents.com/details/2dc18f47afee0307e138dab3015ee7e5154766f6
3,324
3.3K
Aug 12, 2018
08/18
by
Rice University
movies
eye 3,324
favorite 2
comment 0
Source: http://academictorrents.com/details/5d0746961dc72f9ec4a9cc4cd07b1a4e01349fb4
6,361
6.4K
Aug 12, 2018
08/18
by
Wen-mei W. Hwu (University of Illinois)
movies
eye 6,361
favorite 2
comment 0
This course introduces concepts, languages, techniques, and patterns for programming heterogeneous, massively parallel processors. Its contents and structure have been significantly revised based on the experience gained from its initial offering in 2012. It covers heterogeneous computing architectures, data-parallel programming models, techniques for memory bandwidth management, and parallel algorithm patterns. All computing systems, from mobile to supercomputers, are becoming heterogeneous,...
Source: http://academictorrents.com/details/8903d0871c652b96c7b29db738cea76902d65888
2,226
2.2K
movies
eye 2,226
favorite 0
comment 0
The Analytics Edge Through inspiring examples and stories, discover the power of data and use analytics to provide an edge to your career and your life. About this course Skip Course Description In the last decade, the amount of data available to organizations has reached unprecedented levels. Data is transforming business, social interactions, and the future of our society. In this course, you will learn how to use data and analytics to give an edge to your career and your life. We will...
Topics: Machine Learning, Analytics, MIT, R
Source: http://academictorrents.com/details/1d4ec1fc1aca061e71cc504f93a7f9fca9ef7311
2,133
2.1K
Aug 12, 2018
08/18
by
University of California, San Francisco
movies
eye 2,133
favorite 1
comment 0
Source: http://academictorrents.com/details/c4b2f1ba8fb0ee0b8e49609d2b9c86efae36dc36
2,890
2.9K
Aug 12, 2018
08/18
by
Arvind Narayanan (Princeton University)
movies
eye 2,890
favorite 4
comment 0
There’s a lot of excitement about Bitcoin, but also a lot of confusion about what Bitcoin is and how it works. We’re offering this course focusing on the computer science behind Bitcoin to help cut through the hype and get to the core of what makes Bitcoin unique. To really understand what is special about Bitcoin, we need to understand how it works at a technical level. We’ll address the important questions about Bitcoin, such as: How does Bitcoin work? What makes Bitcoin different? How...
Source: http://academictorrents.com/details/409f4cdb063940f2210acbbecca09ca6ad8b3032
5,626
5.6K
Aug 12, 2018
08/18
by
Princeton University
movies
eye 5,626
favorite 6
comment 0
Source: http://academictorrents.com/details/412d52b0bfcf2a8bf3201a28c2ba04b6dff5b290
6,850
6.9K
Aug 12, 2018
08/18
by
Stanford University
movies
eye 6,850
favorite 4
comment 0
Source: http://academictorrents.com/details/0342ad0bd7ef06eb1500b5e7c8ef398060827c4e
2,434
2.4K
Aug 12, 2018
08/18
by
Alison Gibbs, Jeffrey Rosenthal (University of Toronto)
movies
eye 2,434
favorite 2
comment 0
This course is an introduction to the key ideas and principles of the collection, display, and analysis of data to guide you in making valid and appropriate conclusions about the world. We live in a world where data are increasingly available, in ever larger quantities, and are increasingly expected to form the basis for decisions by governments, businesses, and other organizations, as well as by individuals in their daily lives. To cope effectively, every informed citizen must be statistically...
Source: http://academictorrents.com/details/a0cbaf3e03e0893085b6fbdc97cb6220896dddf2
7,578
7.6K
Aug 12, 2018
08/18
by
Dr. Keith Devlin (Stanford University)
movies
eye 7,578
favorite 11
comment 0
About this course: Learn how to think the way mathematicians do - a powerful cognitive process developed over thousands of years. The goal of the course is to help you develop a valuable mental ability – a powerful way of thinking that our ancestors have developed over three thousand years. Mathematical thinking is not the same as doing mathematics – at least not as mathematics is typically presented in our school system. School math typically focuses on learning procedures to solve highly...
Source: http://academictorrents.com/details/2b5e5cc8c7414bc3b0f6974190065bc8c2f629dc
2,159
2.2K
Aug 12, 2018
08/18
by
The University of Edinburgh
movies
eye 2,159
favorite 2
comment 1
favoritefavoritefavoritefavoritefavorite ( 1 reviews )
Source: http://academictorrents.com/details/47d9877fa4f33d109721c65d066a26c3c5e12e0d
2,820
2.8K
Aug 12, 2018
08/18
by
Indian Institute of Technology Delhi
movies
eye 2,820
favorite 0
comment 0
Source: http://academictorrents.com/details/8921ec4d2076e8a6e56a2387d5157aa7c0ef7f10
4,697
4.7K
Aug 12, 2018
08/18
by
Coursera
movies
eye 4,697
favorite 4
comment 0
Source: http://academictorrents.com/details/0a7ba7e62821e488a0061751fdb81f4298733bea
2,987
3.0K
Aug 12, 2018
08/18
by
Kevin Wayne; Robert Sedgewick (Princeton University)
movies
eye 2,987
favorite 7
comment 0
About this course: This course covers the essential information that every serious programmer needs to know about algorithms and data structures, with emphasis on applications and scientific performance analysis of Java implementations. Part I covers elementary data structures, sorting, and searching algorithms. Part II focuses on graph- and string-processing algorithms. ## Union−Find We illustrate our basic approach to developing and analyzing algorithms by considering the dynamic...
Source: http://academictorrents.com/details/a2934d859a14c07a80092ab03552310838f66590
4,829
4.8K
Aug 12, 2018
08/18
by
The University of Edinburgh
movies
eye 4,829
favorite 1
comment 0
Source: http://academictorrents.com/details/560d07faaf09f640fea96b3650874e2903cbc639
3,184
3.2K
Aug 12, 2018
08/18
by
Gaetano Borriello, Luis Ceze (University of Washington)
movies
eye 3,184
favorite 4
comment 0
Examines key computational abstraction levels below modern high-level languages. From Java/C to assembly programming, to basic processor and system organization. This course examines key computational abstraction levels below modern high-level languages; number representation, assembly language, introduction to C, memory management, the operating-system process model, high-level machine architecture including the memory hierarchy, and how high-level languages are implemented. We will develop...
Source: http://academictorrents.com/details/f1384286c8581bffba11e378fdb37608e649d82a
3,369
3.4K
Aug 12, 2018
08/18
by
Coursera
movies
eye 3,369
favorite 1
comment 0
Source: http://academictorrents.com/details/ab9ba816268fd74292d888cfb3f413803a178b90
2,365
2.4K
Aug 12, 2018
08/18
by
Coursera
movies
eye 2,365
favorite 0
comment 0
Source: http://academictorrents.com/details/625ae5f99f1cfdc2b8eb42577ca5271ad78967e0
4,247
4.2K
Aug 12, 2018
08/18
by
The University of Melbourne
movies
eye 4,247
favorite 1
comment 0
Source: http://academictorrents.com/details/ed196d080a2208727a225ab5e7a5630e5bf53be4
3,139
3.1K
Aug 12, 2018
08/18
by
University of Maryl; , College Park
movies
eye 3,139
favorite 2
comment 0
Source: http://academictorrents.com/details/5261e17c70036651d1f83a6ca66c399da33bb46e
4,545
4.5K
Aug 12, 2018
08/18
by
Johns Hopkins University
movies
eye 4,545
favorite 1
comment 0
Source: http://academictorrents.com/details/b02188bbb764f7f5fdd499c5144add35f56ed3e7
4,691
4.7K
Aug 12, 2018
08/18
by
Stanford University & The University of British Columbia
movies
eye 4,691
favorite 1
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Source: http://academictorrents.com/details/7b96f8f76c4af7752f35c4fc26607cf50b6bb195
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Michael Collins (Columbia University)
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Course Description: COMS W4705 is a graduate introduction to natural language processing, the study of human language from a computational perspective. We will cover syntactic, semantic and discourse processing models. The emphasis will be on machine learning or corpus-based methods and algorithms. We will describe the use of these methods and models in applications including syntactic parsing, information extraction, statistical machine translation, dialogue systems, and summarization....
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Coursera
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Princeton University
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Catherine R. Lucey, MD (University of California San Francisco)
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Participants will learn how to move efficiently from patient signs and symptoms to a rational and prioritized set of diagnostic possibilities and will learn how to study and read to facilitate this process. Clinical problem solving or diagnostic reasoning is the skill that physicians use to understand a patient’s complaints and then to identify a short, prioritized list of possible diagnoses that could account for those complaints. This differential diagnosis then drives the choice of...
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