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McCullough Foundation @McCulloughFund BREAKING - Former @CDCgov Director Dr. Robert Redfield admits COVID-19 vaccines cause "significant side effects" "I have a number of people that are quite ill from the vaccine ... we just have to acknowledge that." 速報 - 元@CDCgov 所長ロバート・レッドフィールド博士、COVID-19ワクチンが「重大な副作用」を引き起こすことを認める 「ワクチン接種でかなり具合が悪くなった人が何人かいます…私たちはそれを認めなければなりません。」 https://x.com/i/status/1791561813030567960 午前5:09 · 2024年5月18日
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FCNTがLenovoグループ傘下になった意義 自律神経測定スマホ「arrows We2 Plus」はどこがスゴい? https://news.yahoo.co.jp/articles/e4b223629f50bfc2c7cf74393b8cf5b20c398f09?page=1 何が言いたいかは…。
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Technology development trends - Mobility In the field of environmental recognition, advances are being made in the use of inexpensive vision cameras and depth cameras, and in understanding the meaning of acquired data.In the future, it is expected that navigation systems that can cope with unknown environments and environments with dynamic changes will be developed. In terms of control, integrated control of manipulation and autonomous mobile robots is expected. A comprehensive action plan for research and development in the field of robots and social implementation (robot action plan) Direct Visual SLAM (Kudan) By combining GN-Net feature extraction and Visual SLAM, we perform semantic peripheral recognition and realize self-position estimation that is robust to dynamic changes. Consideration of depth cameras and depth cameras is also seen (mid 2010s) 2010 Heihagi Scale 3D SLAM using LILJAK 2010 Hachishunkan The use of vision cameras has been increasing. For indoor use, the use of fat cameras has been attracting attention. There are also technologies that achieve highly accurate environmental recognition by integrating multiple types of sensor information or combining neural networks. Kudan made SLAM robust to dynamic changes by combining it with semantic understanding of the scene. Yonetani et al. developed a machine learning-paced A* search algorithm and succeeded in generating an optimal path plan even for unknown rings. The first action plan in the mobility area is to respond to unknown and dynamically changing environments such as outdoors. development of robust autonomous mobility technology. It is necessary to develop algorithms that allow robots to operate stably and autonomously even in unknown environments where there is no prior map information or in environments where dynamic changes occur.It is necessary to aim to simplify and eliminate the need for advance map creation and updating. Taken as a reference example, Yonetani et al. developed a
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この地合いでお見事。 ガンバ🚩 let's go Chall we😆
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学生やないわい!we
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M4についてのネクセラの以前のBLOGからの引用だが、M4の2相の観察期間が6週間であり、その開始(2022年10月)から8ヶ月を経た上でのコメントであることを勘案すると、医療関係者からの “enthusiasm for this molecule out in the clinical community has been very good‘’ (臨床界におけるこの分子に対する熱意は非常に良好)というコメントは、個人的にはM4に対する賞賛に聞こえてならない。 一般的に統合失調症の治験では副作用や病気の性質上途中で脱落する被治験者が多いとされているが、推測ではあるが、M4の場合は副作用が少なく、また被治験者や医療関係者も効果が実感できる面があり脱落者が少ないため、極めて順調に進んでいるということではないだろうか。 まぁまだキーオープンになっていないので、断定することはできないが、M4がPOC取得できる可能性は極めて高いような気がするね。 以下引用(2023.06.15付け)。 ●ニューロクライン社 【主なコメント】 (M4作動薬について)現在のフェーズ2b試験は非常にうまく進んでおり、医療関係者からも非常に高い期待の声が寄せられている("going extremely well in a Phase 2b study that we have ongoing right now ~(中略)~ enthusiasm for this molecule out in the clinical community has been very good") ニューロクライン社もコメントしている通り、M4作動薬の開発進捗が順調なのは医療関係者からの高い評価が背景にあるようです。
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``Brand'' We believe that continuing our efforts to sincerely and sincerely create products that please people will lead to this.
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I think it is completed but we will defeat buyers tomorrow. No one can defeat us. We are many times stronger than you. Nintendo can't be over 8800. Do you realize your situation is getting worse.
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>今日のハンマーレッスンの締めくくりは・・・これだ! > >ついてきなさい! > >ガハハハ 皆んなやめとけ! Weの真似事したら破産するぞ! Weiは破産寸前! 剥げガッパと空き缶拾ってこい!
We are so ₿ack.
2024/05/18 18:47
We are so ₿ack.