Name Is 4Minute is the fourth mini-album by South Korean girl group4minute, released on April 26, 2013. It features the lead single "What's Your Name?", which became the group's most successful single after peaking at number one on the Gaon Singles Chart and being one of the best selling singles of the year.
Background
On February 4, 2013, Cube Entertainment announced that 4Minte would release new material in the first half of the year.
It was further explained that their new music would more closely resemble their debut sound, more "groovy and powerful" according to their record label Cube Entertainment.
The mini-album includes the single "What's Your Name?" which was produced by Brave Brothers. It features a "hip-hop style where it uses unique sounds and has a fast-paced and rhythm-packed melody". The single is preceded by "What's My Name?" which introduces the track. Three other songs follow: "Whatever" is described by the album's producers as "unique". "Gimme That" is an "ambitious" song that "asks a man to show his manly side for love". "Domino" is described as a "strong hip hop and blues genre, together with a powerful rocking melody."
"What's Your Name" is a rock song by Lynyrd Skynyrd. It is the opening track on their album Street Survivors. It peaked at No. 13 on the Billboard Hot 100 and peaked at No. 6 in the top Canadian songs.
Background
Lynyrd Skynyrd lead vocalist Ronnie Van Zant and guitarist Gary Rossington wrote "What's Your Name", while in Miami with producer Tom Dowd and Booker T. & the M.G.'s guitarist Steve Cropper. The lyrics depict a true story of the band drinking at their hotel bar during a tour, when one of their roadies got into a fight. The band got kicked out of the bar, but they went into another room and ordered champagne. However, as the song suggests, the incident did not happen in the city of Boise, Idaho. Instead, when Van Zant found out that the band 38 Special (led by his younger brother Donnie) was starting its first national tour in that city, the lyric was changed.
Music video
The music video, released after the plane crash which killed several band members, depicts Ronnie's brother, Johnny, along with a newly reformed Lynyrd Skynyrd live in concert (presumably at the Pensacola Civic Center as the music video suggests), interspersed with shots of the road crew setting up for the show, the musicians tuning their instruments, having makeup done, meeting with fans and autographing albums, and showing fans a leisurely side of what the band does in their spare time by having fun playing baseball at a baseball diamond. At the end of the video, a hat similar to Ronnie's trademark hat can be seen atop a microphone stand as a tribute to him.
The word may ultimately be traced back to the reconstructedProto-Indo-Europeanroot*mer-, "to rub away" or "to harm". Hungarian folklorist Éva Pócs endorses an alternate etymology, tracing the core term back to the Greekμόρος (Indo-European *moros), meaning "death".
There are two types of Minimum Off Route Altitudes (MORAs) –
one is called a route MORA and the other is the grid MORA.
MORA's give at least 1,000 feet altitude clearance above terrain, and 2,000 feet in mountainous (an area of changing terrain were the changes of terrain elevation exceed 3000 feet within a distance of 10NM) terrain.
Route MORAs provided an obstacle clearance within 10 nautical miles (19km) on both sides of the airways and within a 10-nautical-mile (19km)radius around the ends of the airways.
Grid MORAs provide an obstacle clearance altitude within a latitude and longitude grid block, usually of one degree by one degree. They are presented in feet (ft), omitting the last two figures. Example: 7,600 feet is given as 76.
Grid MORA values clear all terrain and obstructions by 1000 feet in areas where the highest elevations are 5000 feet MSL or lower. MORA values clear all terrain by 2000 feet in areas where the highest elevations are 5001 feet MSL or higher.
LAST is the 5th full album released by Japanese band Uverworld as well as the follow-up to their fourth album, Awakeve. It was released on April 14, 2010. A limited pressing of the album was also released on the same day which includes a DVD containing music videos of 99/100 Damashi no Tetsu (99/100騙しの哲?), Go-On and Kanashimi wa Kitto (哀しみはきっと?) as well as a video of the filming process for their 3 music videos and a bonus clip "Special Track 09.12.25: Turn Around with Gold" which is a Gold special video.
The album was one of the highly anticipated album and was ranked #2 at the Ninki Chart and was charted at #2 for Oricon Weekly Ranking.
The title means the present time's highest, newest and the ultimate album.
Track listing
Personnel
Takuya∞ – vocals, programming
Katsuya – lead and rhythm guitar, chorus
Akira – lead and rhythm guitar, chorus, programming
ElixirConf 2021 - Vanessa Lee - And Yet Akin: Name Disambiguation in Elixir
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
published: 23 Oct 2021
A Visual Analytics Approach to Author Name Disambiguation
Title: A Visual Analytics Approach to Author Name Disambiguation
published: 11 Oct 2016
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee | Code BEAM America 2021
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the ...
published: 16 Sep 2022
A Visual Approach for Name Disambiguation in Coauthorship Networks
published: 17 Oct 2018
Name Disambiguation in AMiner: Clustering, Maintenance, and Human in the Loop
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
published: 12 Jun 2018
Author Name Disambiguation Top # 6 Facts
Author Name Disambiguation Top # 6 Facts
published: 28 Oct 2015
Technical Track: gambit – An Open Source Name Disambiguation Tool for Version Control Systems
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We evaluate its performance against two commonly used algorithms with similar characteristics, on manually disambiguated ground-truth data from the Gnome GTK project. Our results show that gambit significantly outperforms both algorithms in terms of precision as well as F1 score.
Uploaded with Clowdr https://clowdr.org/
published: 01 Jun 2021
DisamBERT: Author name disambiguation based on BERT [SciNLP poster presentation]
Scientific endeavor revolves around scientists. Yet data about scientists are notoriously inaccurate due to the challenging and ubiquitous problem of author name disambiguation. Here, we propose a new disambiguation framework based on BERT, which can automatically select the most useful features for disambiguation and achieved a decent performance. Visit our poster at SciNLP!
published: 30 Sep 2021
Disambiguation – Linking Data Science and Engineering | NLP Summit 2020
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as a...
published: 07 Jan 2021
Name disambiguation in Aminer
Name disambiguation in Aminer
Zhang, Jing; Tang, Jie
Sci China Inf Sci, 2021, 64(4): 144101
Name disambiguation, aiming at disambiguating who is who, is one of the fundamental problems of the online academic network platforms such as Google scholar, microsoft academic and AMiner. This study takes AMiner, a free online academic search and mining system, as the example to explain how we deal with the name ambiguity problem under three different scenarios. AMiner has already extracted 13 million researchers' profiles from the Web and integrated with 20 million papers from heterogeneous publication databases, with a growth rate of over 500000 per month. From the beginning when the system is built to the running and updating phases, we need to pay continuous attention on the problem of name ...
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added ...
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanes...
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the problem of name disambiguation and string comparison by looking at two existing string comparison libraries before addressing the process of combining them into a single repository. I hope attendees will leave understanding the problem as well as the strengths, limitations, and possibilities of the new library and how it can be used to address the challenges of name disambiguation.
AUDIENCE:
Beginner to intermediate programmers.
• Timecodes
00:00 - 03:54 - Intro
03:55 - 05:14 - String Comparison Algorithms
05:15 - 09:42 - Akin
09:43 - 13:20 - Axon & Training Data: DBLP
13:21 - 18:09 - NX and Axon
18:10 - 19:36 - What's next?
19:36 - 36:43 - QnA
• Follow us on social:
Twitter: https://twitter.com/CodeBEAMio
LinkedIn: https://www.linkedin.com/company/27159258
• Looking for a unique learning experience?
Attend the next Code Sync conference near you!
See what's coming up at: https://codesync.global
• SUBSCRIBE TO OUR CHANNEL
https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw
See what's coming up at: https://codesync.global
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the problem of name disambiguation and string comparison by looking at two existing string comparison libraries before addressing the process of combining them into a single repository. I hope attendees will leave understanding the problem as well as the strengths, limitations, and possibilities of the new library and how it can be used to address the challenges of name disambiguation.
AUDIENCE:
Beginner to intermediate programmers.
• Timecodes
00:00 - 03:54 - Intro
03:55 - 05:14 - String Comparison Algorithms
05:15 - 09:42 - Akin
09:43 - 13:20 - Axon & Training Data: DBLP
13:21 - 18:09 - NX and Axon
18:10 - 19:36 - What's next?
19:36 - 36:43 - QnA
• Follow us on social:
Twitter: https://twitter.com/CodeBEAMio
LinkedIn: https://www.linkedin.com/company/27159258
• Looking for a unique learning experience?
Attend the next Code Sync conference near you!
See what's coming up at: https://codesync.global
• SUBSCRIBE TO OUR CHANNEL
https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw
See what's coming up at: https://codesync.global
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http:...
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose ga...
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We evaluate its performance against two commonly used algorithms with similar characteristics, on manually disambiguated ground-truth data from the Gnome GTK project. Our results show that gambit significantly outperforms both algorithms in terms of precision as well as F1 score.
Uploaded with Clowdr https://clowdr.org/
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We evaluate its performance against two commonly used algorithms with similar characteristics, on manually disambiguated ground-truth data from the Gnome GTK project. Our results show that gambit significantly outperforms both algorithms in terms of precision as well as F1 score.
Uploaded with Clowdr https://clowdr.org/
Scientific endeavor revolves around scientists. Yet data about scientists are notoriously inaccurate due to the challenging and ubiquitous problem of author nam...
Scientific endeavor revolves around scientists. Yet data about scientists are notoriously inaccurate due to the challenging and ubiquitous problem of author name disambiguation. Here, we propose a new disambiguation framework based on BERT, which can automatically select the most useful features for disambiguation and achieved a decent performance. Visit our poster at SciNLP!
Scientific endeavor revolves around scientists. Yet data about scientists are notoriously inaccurate due to the challenging and ubiquitous problem of author name disambiguation. Here, we propose a new disambiguation framework based on BERT, which can automatically select the most useful features for disambiguation and achieved a decent performance. Visit our poster at SciNLP!
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021...
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
Name disambiguation in Aminer
Zhang, Jing; Tang, Jie
Sci China Inf Sci, 2021, 64(4): 144101
Name disambiguation, aiming at disambiguating who is who, is one ...
Name disambiguation in Aminer
Zhang, Jing; Tang, Jie
Sci China Inf Sci, 2021, 64(4): 144101
Name disambiguation, aiming at disambiguating who is who, is one of the fundamental problems of the online academic network platforms such as Google scholar, microsoft academic and AMiner. This study takes AMiner, a free online academic search and mining system, as the example to explain how we deal with the name ambiguity problem under three different scenarios. AMiner has already extracted 13 million researchers' profiles from the Web and integrated with 20 million papers from heterogeneous publication databases, with a growth rate of over 500000 per month. From the beginning when the system is built to the running and updating phases, we need to pay continuous attention on the problem of name disambiguation. In the following parts, we discuss the problem on three scenarios during the whole life cycle of AMiner, i.e., name disambiguation when the system is built from scratch (full ND), name disambiguation when persons' profiles are continuously updated (continuous ND) and error detection upon existing persons' profiles (error detection).
Name disambiguation in Aminer
Zhang, Jing; Tang, Jie
Sci China Inf Sci, 2021, 64(4): 144101
Name disambiguation, aiming at disambiguating who is who, is one of the fundamental problems of the online academic network platforms such as Google scholar, microsoft academic and AMiner. This study takes AMiner, a free online academic search and mining system, as the example to explain how we deal with the name ambiguity problem under three different scenarios. AMiner has already extracted 13 million researchers' profiles from the Web and integrated with 20 million papers from heterogeneous publication databases, with a growth rate of over 500000 per month. From the beginning when the system is built to the running and updating phases, we need to pay continuous attention on the problem of name disambiguation. In the following parts, we discuss the problem on three scenarios during the whole life cycle of AMiner, i.e., name disambiguation when the system is built from scratch (full ND), name disambiguation when persons' profiles are continuously updated (continuous ND) and error detection upon existing persons' profiles (error detection).
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
This video was recorded at Code BEAM America 2021 - https://codesync.global/conferences/code-beam-sf-2021/
And Yet Akin: Name Disambiguation in Elixir | Vanessa Lee - Senior Software Engineer at Interfolio
ABSTRACT
Synonymity and homonymity make name disambiguation difficult. To ease this difficulty, I combined two unmaintained Elixir string comparison libraries and added preprocessing and a double metaphone algorithm. The result is a comprehensive map of scores for pattern identification and machine learning. This talk will address the pre-processing, algorithms, and scoring as well as the strengths and limitations. A live demonstration of scoring will allow us to identify patterns. We end with a discussion of how to gain further benefits from the scores.
OBJECTIVES:
To introduce the problem of name disambiguation and string comparison by looking at two existing string comparison libraries before addressing the process of combining them into a single repository. I hope attendees will leave understanding the problem as well as the strengths, limitations, and possibilities of the new library and how it can be used to address the challenges of name disambiguation.
AUDIENCE:
Beginner to intermediate programmers.
• Timecodes
00:00 - 03:54 - Intro
03:55 - 05:14 - String Comparison Algorithms
05:15 - 09:42 - Akin
09:43 - 13:20 - Axon & Training Data: DBLP
13:21 - 18:09 - NX and Axon
18:10 - 19:36 - What's next?
19:36 - 36:43 - QnA
• Follow us on social:
Twitter: https://twitter.com/CodeBEAMio
LinkedIn: https://www.linkedin.com/company/27159258
• Looking for a unique learning experience?
Attend the next Code Sync conference near you!
See what's coming up at: https://codesync.global
• SUBSCRIBE TO OUR CHANNEL
https://www.youtube.com/channel/UC47eUBNO8KBH_V8AfowOWOw
See what's coming up at: https://codesync.global
Authors:
Yutao Zhang (Tsinghua University); Fanjin Zhang (Tsinghua University); Peiran Yao (Tsinghua University); Jie Tang (Tsinghua University)
More on http://www.kdd.org/kdd2018/
Name disambiguation is a complex but highly relevant challenge whenever analysing real-world user data, such as data from version control systems. We propose gambit, a rule-based disambiguation tool that only relies on name and email information. We evaluate its performance against two commonly used algorithms with similar characteristics, on manually disambiguated ground-truth data from the Gnome GTK project. Our results show that gambit significantly outperforms both algorithms in terms of precision as well as F1 score.
Uploaded with Clowdr https://clowdr.org/
Scientific endeavor revolves around scientists. Yet data about scientists are notoriously inaccurate due to the challenging and ubiquitous problem of author name disambiguation. Here, we propose a new disambiguation framework based on BERT, which can automatically select the most useful features for disambiguation and achieved a decent performance. Visit our poster at SciNLP!
Get your Free Spark NLP and Spark OCR Free Trial: https://www.johnsnowlabs.com/spark-nlp-try-free/
Register for NLP Summit 2021: https://www.nlpsummit.org/2021-events/
Watch all NLP Summit 2020 sessions: https://www.nlpsummit.org/
Disambiguation or Entity Linking is the assignment of a knowledge base identifier (Wikidata, Wikipedia) to a named entity. Our goal was to improve an MVP model by adding newly created knowledge while maintaining competitive F1 scores.
Taking an entity linking model from MVP into production in a spaCy-native pipeline architecture posed several data science and engineering challenges, such as hyperparameter estimation and knowledge enhancement, which we addressed by taking advantage of the engineering tools Docker and Kubernetes to semi-automate training as an on-demand job.
We also discuss some of our learnings and process improvements that were needed to strike a balance between data science goals and engineering constraints and present our current work on improving performance through BERT-embedding based contextual similarity.
Name disambiguation in Aminer
Zhang, Jing; Tang, Jie
Sci China Inf Sci, 2021, 64(4): 144101
Name disambiguation, aiming at disambiguating who is who, is one of the fundamental problems of the online academic network platforms such as Google scholar, microsoft academic and AMiner. This study takes AMiner, a free online academic search and mining system, as the example to explain how we deal with the name ambiguity problem under three different scenarios. AMiner has already extracted 13 million researchers' profiles from the Web and integrated with 20 million papers from heterogeneous publication databases, with a growth rate of over 500000 per month. From the beginning when the system is built to the running and updating phases, we need to pay continuous attention on the problem of name disambiguation. In the following parts, we discuss the problem on three scenarios during the whole life cycle of AMiner, i.e., name disambiguation when the system is built from scratch (full ND), name disambiguation when persons' profiles are continuously updated (continuous ND) and error detection upon existing persons' profiles (error detection).
Name Is 4Minute is the fourth mini-album by South Korean girl group4minute, released on April 26, 2013. It features the lead single "What's Your Name?", which became the group's most successful single after peaking at number one on the Gaon Singles Chart and being one of the best selling singles of the year.
Background
On February 4, 2013, Cube Entertainment announced that 4Minte would release new material in the first half of the year.
It was further explained that their new music would more closely resemble their debut sound, more "groovy and powerful" according to their record label Cube Entertainment.
The mini-album includes the single "What's Your Name?" which was produced by Brave Brothers. It features a "hip-hop style where it uses unique sounds and has a fast-paced and rhythm-packed melody". The single is preceded by "What's My Name?" which introduces the track. Three other songs follow: "Whatever" is described by the album's producers as "unique". "Gimme That" is an "ambitious" song that "asks a man to show his manly side for love". "Domino" is described as a "strong hip hop and blues genre, together with a powerful rocking melody."