Rượu vang Nho Zinfandel

Rượu vang từ giống nho Zinfandel thường có màu đỏ đậm và hương thơm từ hương trái cây như quả mâm xôi, dâu tây, quả anh đào đen và hương thảo mộc đến hương gia vị và mùi hương tiêu đen. Zinfandel thường có cấu trúc tannin và độ axit tương đối cân đối, tùy thuộc vào cách sản xuất và vùng trồng.

Zinfandel thường được sử dụng để tạo ra các loại rượu vang đơn giản cho đến những loại rượu vang đặc biệt như rượu vang Zinfandel độc đáo và cả các loại rượu vang ngọt. Ngoài ra, Zinfandel cũng thường được sử dụng để tạo ra rượu vang hỗn hợp (blends) và các loại rượu vang sủi bọt. Đây là một giống nho quan trọng trong ngành sản xuất rượu vang Mỹ và tạo nên sự độc đáo và đa dạng của vùng trồng nho California.

Ausführlicher Überblick zu den erwarteten Klimaveränderungen auf kroatischem Staatsgebiet bis 2040, mit einem Ausblick auf 2070. Berücksichtigt vor allem RCP4.5, aber auch RCP8.5. Macht (bei sehr oberflächlichem Durchsehen mit mangelnden Sprachkenntnissen) an manchen Stellen einen etwas verharmlosenden Eindruck.

Ein Artikel über die Pelješac-Brücke ohne jede kritische Anmerkung. Wichtig wäre:

• ein Hinweis auf die chinesische Beton-Industrie, die nach Auslastungen sucht,
• ein Hinweis auf die touristische Monokultur in Süddalmatien und ihre Folgen für die Umwelt, einschließlich der fossilen Emissionen
• und auch ein Hinweis darauf, dass die Region um Dubrovnik so noch mehr von ihrem marinen Charakter verliert - ein Prozess, der spätestens mit der Adria-Magistrale begonnen hat.

https://www.youtube.com/watch?v=sciwtWcfdH4

UNESCO: Representative List of the Intangible Cultural Heritage of Humanity - 2012 URL: https://ich.unesco.org/en/RL/klapa-multipart-singing-of-dalmatia-southern-croatia-00746 Description: Klapa singing is a multipart singing tradition of Dalmatia. Multipart singing, a capella homophonic singing, oral tradition and simple music making are its main features. The leader of each singing group is the first tenor, followed by several tenori, baritoni and basi voices. During performances, the singers stand in a tight semicircle, and the first tenor starts the singing, followed by the others. The aim is to achieve the best possible blend of voices. Klapa songs deal with love, life situations, and the local environment. Country(ies): Croatia

https://vimeo.com/232545219

from: Eyeo Conference 2017

• http://eyeofestival.com/2017/speaker/robin-sloan/
• https://vimeo.com/channels/eyeo2017/232545219

Description

Robin Sloan at Eyeo 2017 | Writing with the Machine | Language models built with recurrent neural networks are advancing the state of the art on what feels like a weekly basis; off-the-shelf code is capable of astonishing mimicry and composition. What happens, though, when we take those models off the command line and put them into an interactive writing environment? In this talk Robin presents demos of several tools, including one presented here for the first time. He discusses motivations and process, shares some technical tips, proposes a course for the future — and along the way, write at least one short story together with the audience: all of us, and the machine.

Notes

Robin created a corpus using If Magazine and Galaxy Magazine from the Internet Archive and used it as a writing tool. He talks about using a few other models for generating text.

Some of the idea here is reminiscent of the way John McPhee used the 1913 Webster Dictionary for finding words (or le mot juste) for his work, as tangentially suggested in Draft #4 in The New Yorker (2013-04-22)

Cross reference: https://hypothes.is/a/t2a9_pTQEeuNSDf16lq3qw and https://hypothes.is/a/vUG82pTOEeu6Z99lBsrRrg from https://jsomers.net/blog/dictionary

Croatian acapella singing: klapa https://www.youtube.com/watch?v=sciwtWcfdH4

Writing using the adjacent possible.

Corpus building as an art [~37:00]

Forgetting what one trained their model on and then seeing the unexpected come out of it. This is similar to Luhmann's use of the zettelkasten as a serendipitous writing partner.

Open questions

How might we use information theory to do this more easily?

What does a person or machine's "hand" look like in the long term with these tools?

Can we use corpus linguistics in reverse for this?

What sources would you use to train your model?

References:

• Andrej Karpathy. 2015. "The Unreasonable Effectiveness of Recurrent Neural Networks"
• Samuel R. Bowman, Luke Vilnis, Oriol Vinyals, et al. "Generating sentences from a continuous space." 2015. arXiv: 1511.06349
• Stanislau Semeniuta, Aliaksei Severyn, and Erhardt Barth. 2017. "A Hybrid Convolutional Variational Autoencoder for Text generation." arXiv:1702.02390
• Soroush Mehri, et al. 2017. "SampleRNN: An Unconditional End-to-End Neural Audio Generation Model." arXiv:1612.07837 applies neural networks to sound and sound production

Coronavirus Pandemic Data Explorer. (n.d.). Our World in Data. Retrieved March 3, 2021, from https://ourworldindata.org/coronavirus-data-explorer

Tonković, M., Dumančić, F., Jelić, M., & Čorkalo Biruški, D. (2021). Who believes in COVID-19 conspiracy theories in Croatia? Prevalence and predictors of conspiracy beliefs. Frontiers in Psychology, 12. https://doi.org/10.3389/fpsyg.2021.643568

Zocchi, B. (2020-04-30). What coronavirus looks like at the Bosnian-Croatian frontier for Europe’s unwanted migrants. The Conversation. http://theconversation.com/what-coronavirus-looks-like-at-the-bosnian-croatian-frontier-for-europes-unwanted-migrants-137226