60 years in 6 minutes

•

1 recomendación•1,116 vistas

Ryu Hayano

2012.03.02 早野龍五還暦チャリティーパーティーでお見せしたスライドです．（これだけ見てもなんだか分からないと思う）

Tecnología Empresariales

since disaster Login You
Face
For many older Japanese, the government remains a trusted, paternal overseer. But younger recommendatio
Japanese are now consulting the Internet and other information sources, rather than
depending on major media. Harry M
TV's 'M
Comments 7 Share 4 Tweet 155 Recommend 87 1,946 pe

'MythBu
cannon
1,997 pe

Angels
Albert P
371 peo

'Book o
in Sept
665 peo

Obama
over Ke
325 peo

In new
Obama
395 peo

'Obama
10,233

Some k
too mu
320 peo

Hillary
to discr
630 peo
Physicist Ryugo Hayano of Tokyo University tweeted about foreign news reports of radioactive fallout after the
Fukushima Daiichi meltdown. His Twitter following soared to 150,000 from 3,000. (Tom Miyagawa Coulton, For The
Times / December 17, 2011)
Facebook socia

ALSO By John M. Glionna, Los Angeles Times
December 18, 2011

Más contenido relacionado

Más de Ryu Hayano

Fukushima dopo il 2011

Ryu Hayano

2015.09.13 12th ICRP dialog seminar presentation

Ryu Hayano

ICRP ダイアログ 2015.05.30 "Radiation measurements - what, how, and why?"

Ryu Hayano

三春町学童に対するホールボディカウンター (WBC) 検査が、2011 から 2014 年にかけて 4 年間連続して行われた。これは福島第一原子力発全所事故後に行なわれた内部被ばく検査のうち、唯一にして長期かつサンプリングの偏りがない取り組みである。 2014 年に初めて、身長 130cm 以下の子どもたちに、セシウム 134、137 とも 50 Bq/body 未満という低い検出限界をもつ Babyscan が使われたが、検知可能なレベルの放射性セシウムを持っている子どもはみつからなかった。それぞれの WBC から得られた MDA 値を使って、子どもたちの放射性セシウムの毎日の摂取量の上限が見積もられた。Babyscan での検査における上限は、セシウム 137 の 1 日摂取量に換算して 1Bq 未満であった。検査時に記入いただいた食べ物と飲料水に関するアンケートの分析によれば、大多数の三春の子どもたちは継続的に地元産か自家産の米、野菜を摂取していた。しかしながらこの選択は体内の放射性物質量を増やさない。

Whole-body counter surveys of Miharu-town school children for four consecutiv...

Ryu Hayano

（H26年1学期が終了したのでグラフ更新）  福島県の学校給食まるごと検査（ゲルマ使用）H24~26年度 H26年7月までの全データをグラフ化縦軸はBq/kg，横軸は検体採取年月　134Csの検出限界を● 137Csの検出限界を■ 　有限値が出た場合の134Csの値を◆ 137Csの値を▲で表示伊達市, 国見町, 大熊町, 天栄村, 小野町, 川俣町, 川内村, 平田村, 広野町, 新地町, 昭和村, 柳津町, 桑折町,  泉崎村, 湯川村, 玉川村, 田村市, 盲学校, 矢吹町, 石川町, 福島市, 金山町, 鮫川村, いわき市, 南相馬市, 喜多方市,  猪苗代町, 西会津町, 会津坂下町, 会津若松市, 平養護学校, 県立盲学校, 保原高等学校, 西郷養護学校,  猪苗代養護学校, 白河第二高等学校, 県立猪苗代養護学校のグラフを掲載　 1. セシウムはほとんど出ていない（稀に検出されても検出限界ぎりぎり） 2. 福島市で米を地元産に切り替えた後でもセシウムは検出されていないデータはここ http://www.kenkou.fks.ed.jp/kyushoku/monitoring/monitoringpagetop.htm

福島県内の給食まるごと検査 H24年度からH26年7月夏休み前までの全グラフ

Ryu Hayano

福島第一原子力発電所事故後、3年間連続して行われた三春町児童生徒のホールボディカウンター検査について

Ryu Hayano

H25年度が終了したので，福島県の給食まるごとセシウム検査のグラフを更新．元のデータは福島県教育委員会が公開しているもの．・検出限界は概ね1Bq/kg ・セシウムはほとんど出ていない（稀に有限値が報告されているが，検出限界ぎりぎり）・福島市で2013年1月から地元産米に切り替えたが，それによってセシウムが増えたということは無い．

福島の給食まるごと検査，2012年度と2013年度のグラフ

Ryu Hayano

福島の内部被ばくと外部被ばく 2014年2月15日の講演スライド

Ryu Hayano

福島県の学校給食まるごと検査(ゲルマ使用) H24-H25 12月までの結果一覧

Ryu Hayano

基準値超食品H23 25

Ryu Hayano

キエフ・ミンスク

Ryu Hayano

(H25年1学期が終了したのでグラフ更新) 福島県の学校給食まるごと検査(ゲルマ使用) H24~25年度

Ryu Hayano

BABYSCANの開発について - 技術面より

Ryu Hayano

１時間毎の積算線量を２週間記録してみた

Ryu Hayano

相馬市線量計2013年3月31日

Ryu Hayano

内部被ばくと外部被ばく：ICRP第5回福島ダイアログセミナー 2013/3/2 伊達市

Ryu Hayano

福島原発事故とチェルノブイリ原発事故の甲状腺等価線量を比較

Ryu Hayano

（参考出品）福島県の学校給食まるごと検査（ゲルマ使用）の結果をグラフ化

Ryu Hayano

2013年2月牛久市（松戸市）WBC検査報告会でのスライド

Ryu Hayano

南相馬保育園給食一年分

Ryu Hayano

Más de Ryu Hayano (20)

Fukushima dopo il 2011

2015.09.13 12th ICRP dialog seminar presentation

ICRP ダイアログ 2015.05.30 "Radiation measurements - what, how, and why?"

Whole-body counter surveys of Miharu-town school children for four consecutiv...

福島県内の給食まるごと検査 H24年度からH26年7月夏休み前までの全グラフ

福島第一原子力発電所事故後、3年間連続して行われた三春町児童生徒のホールボディカウンター検査について

福島の給食まるごと検査，2012年度と2013年度のグラフ

福島の内部被ばくと外部被ばく 2014年2月15日の講演スライド

福島県の学校給食まるごと検査(ゲルマ使用) H24-H25 12月までの結果一覧

基準値超食品H23 25

キエフ・ミンスク

(H25年1学期が終了したのでグラフ更新) 福島県の学校給食まるごと検査(ゲルマ使用) H24~25年度

BABYSCANの開発について - 技術面より

１時間毎の積算線量を２週間記録してみた

相馬市線量計2013年3月31日

内部被ばくと外部被ばく：ICRP第5回福島ダイアログセミナー 2013/3/2 伊達市

福島原発事故とチェルノブイリ原発事故の甲状腺等価線量を比較

（参考出品）福島県の学校給食まるごと検査（ゲルマ使用）の結果をグラフ化

2013年2月牛久市（松戸市）WBC検査報告会でのスライド

南相馬保育園給食一年分

Último

ProductAnonymous-April2024-WinProductDiscovery-MelissaKlemke

Product Anonymous

Enterprise Knowledge’s Urmi Majumder, Principal Data Architecture Consultant, and Fernando Aguilar Islas, Senior Data Science Consultant, presented "Driving Behavioral Change for Information Management through Data-Driven Green Strategy" on March 27, 2024 at Enterprise Data World (EDW) in Orlando, Florida. In this presentation, Urmi and Fernando discussed a case study describing how the information management division in a large supply chain organization drove user behavior change through awareness of the carbon footprint of their duplicated and near-duplicated content, identified via advanced data analytics. Check out their presentation to gain valuable perspectives on utilizing data-driven strategies to influence positive behavioral shifts and support sustainability initiatives within your organization. In this session, participants gained answers to the following questions: - What is a Green Information Management (IM) Strategy, and why should you have one? - How can Artificial Intelligence (AI) and Machine Learning (ML) support your Green IM Strategy through content deduplication? - How can an organization use insights into their data to influence employee behavior for IM? - How can you reap additional benefits from content reduction that go beyond Green IM?

Driving Behavioral Change for Information Management through Data-Driven Gree...

Enterprise Knowledge

CNv6 Instructor Chapter 6 Quality of Service

giselly40

GenCyber Cyber Security Day Presentation

Michael W. Hawkins

Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024

The Digital Insurer

Three things you will take away from the session: • How to run an effective tenant-to-tenant migration • Best practices for before, during, and after migration • Tips for using migration as a springboard to prepare for Copilot in Microsoft 365 Main ideas: Migration Overview: The presentation covers the current reality of cross-tenant migrations, the triggers, phases, best practices, and benefits of a successful tenant migration Considerations: When considering a migration, it is important to consider the migration scope, performance, customization, flexibility, user-friendly interface, automation, monitoring, support, training, scalability, data integrity, data security, cost, and licensing structure Next Wave: The next wave of change includes the launch of Copilot, which requires businesses to be prepared for upcoming changes related to Copilot and the cloud, and to consolidate data and tighten governance ShareGate: ShareGate can help with pre-migration analysis, configurable migration tool, and automated, end-user driven collaborative governance

Strategize a Smooth Tenant-to-tenant Migration and Copilot Takeoff

sammart93

BooK Now Call us at +918448380779 to hire a gorgeous and seductive call girl for sex. Take a Delhi Escort Service. The help of our escort agency is mostly meant for men who want sexual Indian Escorts In Delhi NCR. It should be noted that any impersonator will get 100 attention from our Young Girls Escorts in Delhi. They will assume the position of reliable allies. VIP Call Girl With Original Photos Book Tonight +918448380779 Our Cheap Price 1 Hour not available 2 Hours 5000 Full Night 8000 TAG: Call Girls in Delhi, Noida, Gurgaon, Ghaziabad, Connaught Place, Greater Kailash Delhi, Lajpat Nagar Delhi, Mayur Vihar Delhi, Chanakyapuri Delhi, New Friends Colony Delhi, Majnu Ka Tilla, Karol Bagh, Malviya Nagar, Saket, Khan Market, Noida Sector 18, Noida Sector 76, Noida Sector 51, Gurgaon Mg Road, Iffco Chowk Gurgaon, Rajiv Chowk Gurgaon All Delhi Ncr Free Home Deliver

08448380779 Call Girls In Diplomatic Enclave Women Seeking Men

Delhi Call girls

Evaluating the top large language models.pdf

ChristopherTHyatt

In this session, we will delve into strategic approaches for optimizing knowledge management within Microsoft 365, amidst the evolving landscape of Copilot. From leveraging automatic metadata classification and permission governance with SharePoint Premium, to unlocking Viva Engage for the cultivation of knowledge and communities, you will gain actionable insights to bolster your organization's knowledge-sharing initiatives. In this session, we will also explore how to facilitate solutions to enable your employees to find answers and expertise within Microsoft 365. You will leave equipped with practical techniques and a deeper understanding of how there is more to effective knowledge management than just enabling Copilot, but building actual solutions to prepare the knowledge that Copilot and your employees can use.

Strategies for Unlocking Knowledge Management in Microsoft 365 in the Copilot...

Drew Madelung

The presentation explores the development and application of artificial intelligence (AI) from its inception to its current status in the modern world. The term "artificial intelligence" was first coined by John McCarthy in 1956 to describe efforts to develop computer programs capable of performing tasks that typically require human intelligence. This concept was first introduced at a conference held at Dartmouth College, where programs demonstrated capabilities such as playing chess, proving theorems, and interpreting texts. In the early stages, Alan Turing contributed to the field by defining intelligence as the ability of a being to respond to certain questions intelligently, proposing what is now known as the Turing Test to evaluate the presence of intelligent behavior in machines. As the decades progressed, AI evolved significantly. The 1980s focused on machine learning, teaching computers to learn from data, leading to the development of models that could improve their performance based on their experiences. The 1990s and 2000s saw further advances in algorithms and computational power, which allowed for more sophisticated data analysis techniques, including data mining. By the 2010s, the proliferation of big data and the refinement of deep learning techniques enabled AI to become mainstream. Notable milestones included the success of Google's AlphaGo and advancements in autonomous vehicles by companies like Tesla and Waymo. A major theme of the presentation is the application of generative AI, which has been used for tasks such as natural language text generation, translation, and question answering. Generative AI uses large datasets to train models that can then produce new, coherent pieces of text or other media. The presentation also discusses the ethical implications and the need for regulation in AI, highlighting issues such as privacy, bias, and the potential for misuse. These concerns have prompted calls for comprehensive regulations to ensure the safe and equitable use of AI technologies. Artificial intelligence has also played a significant role in healthcare, particularly highlighted during the COVID-19 pandemic, where it was used in drug discovery, vaccine development, and analyzing the spread of the virus. The capabilities of AI in healthcare are vast, ranging from medical diagnostics to personalized medicine, demonstrating the technology's potential to revolutionize fields beyond just technical or consumer applications. In conclusion, AI continues to be a rapidly evolving field with significant implications for various aspects of society. The development from theoretical concepts to real-world applications illustrates both the potential benefits and the challenges that come with integrating advanced technologies into everyday life. The ongoing discussion about AI ethics and regulation underscores the importance of managing these technologies responsibly to maximize their their benefits while minimizing potential harms.

Artificial Intelligence: Facts and Myths

Joaquim Jorge

Automating Google Workspace (GWS) & more with Apps Script

wesley chun

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...

Neo4j

08448380779 Call Girls In Friends Colony Women Seeking Men

Delhi Call girls

How to Troubleshoot Apps for the Modern Connected Worker

ThousandEyes

Partners Life - Insurer Innovation Award 2024

The Digital Insurer

As privacy and data protection regulations evolve rapidly, organizations operating in multiple jurisdictions face mounting challenges to ensure compliance and safeguard customer data. With state-specific privacy laws coming up in multiple states this year, it is essential to understand what their unique data protection regulations will require clearly. How will data privacy evolve in the US in 2024? How to stay compliant? Our panellists will guide you through the intricacies of these states' specific data privacy laws, clarifying complex legal frameworks and compliance requirements. This webinar will review: - The essential aspects of each state's privacy landscape and the latest updates - Common compliance challenges faced by organizations operating in multiple states and best practices to achieve regulatory adherence - Valuable insights into potential changes to existing regulations and prepare your organization for the evolving landscape

TrustArc Webinar - Stay Ahead of US State Data Privacy Law Developments

TrustArc

Scaling API-first – The story of a global engineering organization

Radu Cotescu

A Domino Admins Adventures (Engage 2024)

Gabriella Davis

Finology Group – Insurtech Innovation Award 2024

The Digital Insurer

Axa Assurance Maroc - Insurer Innovation Award 2024

The Digital Insurer

60 years in 6 minutes

1. 60 years in 6 minutes 早野龍五

2. 1952.01.03

5. 1960 写真

7. 1964 パスポート

10. 1970.4 45 S1 16B

11.

12. 1975.1.3 Vancouver

13.

14. 1976.12 Los Alamos

15.

16. 1978 Vancouver

17.

18. 1981.1 Kyoto

19.

20. 1993 Geneva

21.

22. 1995.6 Hakone

23.

24. 1987 Kyoto

25.

26. 1991 Tokyo

27.

28. 1994.2 Long Island

29.

30. 1998.11 ASACUSA in Asakusa

31.

32. 1998.12 Darmstadt

33.

34. 2000.10.3 Ope

35.

36.

37. 2011 Geneva

38.

39. 2007.2 Vienna

40.

41. 2008.11 12 Geneva-Tokyo

42.

43.

44. 2009.7.7 Tokyo

45.

46. 2009.11 Frascati

47.

48. 2011.3.11

49.

50. since disaster Login You Face For many older Japanese, the government remains a trusted, paternal overseer. But younger recommendatio Japanese are now consulting the Internet and other information sources, rather than depending on major media. Harry M TV's 'M Comments 7 Share 4 Tweet 155 Recommend 87 1,946 pe 'MythBu cannon 1,997 pe Angels Albert P 371 peo 'Book o in Sept 665 peo Obama over Ke 325 peo In new Obama 395 peo 'Obama 10,233 Some k too mu 320 peo Hillary to discr 630 peo Physicist Ryugo Hayano of Tokyo University tweeted about foreign news reports of radioactive fallout after the Fukushima Daiichi meltdown. His Twitter following soared to 150,000 from 3,000. (Tom Miyagawa Coulton, For The Times / December 17, 2011) Facebook socia ALSO By John M. Glionna, Los Angeles Times December 18, 2011

60 years in 6 minutes

Recomendados

Recomendados

Más contenido relacionado

Más de Ryu Hayano

Más de Ryu Hayano (20)

Último

Último (20)

60 years in 6 minutes