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Katalyst rescue satellite

  Spaceflightnow   Target to launch in June
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空氣電壓 地震前兆?

From 台灣地震預測研究所  Dyson Lin 林湧森  宜蘭站: Patreon Twitter Quakeforecast FB Buzzorange 據自由時報 報導 ,在 1 周前(2018 2月6),氣象局第一次針對在臉書引述氣象局地磁資料預測地震的林湧森,去函警告要求相關言論下架,如果沒有改善,將針對氣象法規處以 20 萬至 100 萬的罰款。 據氣象局地震測報中心代理主任陳國昌的說法,這次是因林湧森引述氣象局地磁資料,但這筆資料是氣象局用來研究地震前兆的資料,只能給學者使用,不知為何林湧森拿來任意預測判斷,違反氣象法。至於王明仁,陳國昌主任則是說他「沒有任何科學佐證,未達到開罰要件。」 對此,林湧森對氣象局表示「放馬過來」,說自己 4、5 年前曾準確預言地震,正因自己預測準確,氣象局才跳腳。據報導,他是「無心插柳」從植物身上發現地震可預測,目前他在全球有 20 多個觀測站進行地震預測分析。而王明仁則說,氣象局對他的批評有失公允,強調自己研發科學儀器預測地震,「氣象局的批評,是沒有能力預測的人否定會預測的人」。 What are science behind? Or pseudo science?

中國曾經的5時區timezone圖

 民國初年(1939) 直至1949年 北京時間,還是烏魯木齊時間的火車票 OurChinahistory   Chl cn

Earth once passed through an interstellar cloud

Sciencealert In Antarctica, scientists led by nuclear astrophysicist Dominik Koll of the Helmholtz-Zentrum Dresden-Rossendorf in Germany, found rare iron-60 frozen in ice cores dating back to between 40,000 and 81,000 years ago. These results suggest that the Local Interstellar Cloud is a cosmic archive for supernova-produced iron-60. Technews tw

Russian TOURIST-3 20x50 (Труба зрительная "ТУРИСТ) from LZOS

 From hypernova From stargazerslounge eyeswideopen5 flickr

AI carbon footprint

 From Nature Nov 2025  sustainability  The rapidly increasing demand for generative artificial intelligence (AI) models requires extensive server installation with sustainability implications in terms of the compound energy–water–climate impacts. Here we show that the deployment of AI servers across the United States could generate an annual water footprint ranging from 731 to 1,125 million m3 and additional annual carbon emissions from 24 to 44 Mt CO2-equivalent between 2024 and 2030, depending on the scale of expansion. Other factors, such as industry efficiency initiatives, grid decarbonization rates and the spatial distribution of server locations within the United States, drive deep uncertainties in the estimated water and carbon footprints. We show that the AI server industry is unlikely to meet its net-zero aspirations by 2030 without substantial reliance on highly uncertain carbon offset and water restoration mechanisms. Although best practices may reduce emission...