對不起。我半夜起床突然PO文,懶的翻譯成中文。哈哈。請原諒我。如果你們看得懂願意幫我,我會很感謝的!
Omg. Am I starting to produce/leak milk ALREADY?! I still have one month to go but I just woke up in the middle of the night feeling "hot flashes" and getting REALLY thirsty.
And now, sorry if this is TMI, my shirt feels a little bit damp??? I thought I was maybe too hot and sweating... But now I'm thinking about it and .... Could it be possible?!?!
If yes, what do I do to save this previous breast milk? I know the first milk to be produced (colostrum?) is the most dense and nutritious.
Should I be collecting it?
Should I be trying to "squeeze" more out and freezing it?!
Do I just leave it and let it happen naturally?
Do I let it go to waste?
Do I try and stop it from leaking somehow?
Omg. Does this mean I am going to go into labor soon?!?!?!?! EEEEEK!!!
labor翻譯 在 蘇怡寧醫師愛碎念 Facebook 八卦
今天來聊聊樂得兒產房(LDR)
很多人問我樂得兒產房跟一般待產房有什麼差別?
我們今天就來聊一下吧
樂得兒產房是從英文名稱labor delivery recovery room翻譯過來的(簡稱LDR)
意思就是指從待產、生產,到產後的立即觀察期
均在同一個房間同一張床上完成
所以這裡面的基本配備
就是必須要有一張可以從平常休息模式轉換成生產模式專用很貴的床
然後還要有一個完整的新生兒處理台
當然
還要有手術燈
簡單說
他就是病房然後又是產房
這樣講很抽象
那我們換個方式來說好了
先說一般的生產流程
準備自然生產的媽咪
在您住院後會先入住到待產室待產觀察產程
等到快要生產的那一個moment
護理人員會幫您從待產床移動到推床然後用推床推入產房這時候你必須先在產房門口跟你老公暫時說掰掰你繼續推進去然後再從推床換到產台上這時候你老公也沒有閑著他必須要換穿隔離衣準備好之後然後再由護理人員引導進入產房陪你一起吶喊需要的時候人皮會被你的手指捏爆然後醫師來了繼續加油呼喊用力然後就生了生完之後醫師處理胎盤縫合會陰傷口然後再移動到推床推啊推的就到了恢復室休息然後再推回到產後病房然後就開始當全職乳牛了
這就是一頭偉大乳牛誕生的傳奇故事完畢
如果在LDR呢?
簡單說
您放心所有生產過程該有的您都會享受到沒有什麼精彩的會被漏掉
但就是你的等待你的呼喊你的淚水你的老公全部就在同一張床上完成
除非你老公受不了刺激要逃跑
不然你的親朋好友加油部隊只要你想要也都可以留在裡面一起玩
如果想要家裡的大寶二寶一起參與的這也是個不錯的選擇
我們曾經有遇過一個房間擠了十幾個人的不知在搞什麼鬼結果一打開門進去以為走錯房間在開party猛說聲抱歉轉身開門走出去想一想不對再開門走回去接生的
這張床就是一個變形金剛
一個move就可以從慵懶的睡眠模式轉換成激情的戰鬥模式
隱私性也是另一個考量
如果你不希望你在嘶吼的時候被推進產房正好被走廊上的其他人看到
如果你有偶包
那這應該是一個不錯的選擇
沒有人說你一定要這樣做
但就是多一種選擇啦
有的人旅行喜歡每天拉車換飯店體驗不同感覺
像我出國就只喜歡定點每天睡到自然醒
高興就好啦
歐對了
第二張照片那個大浴缸是水中生產用的
這又是另外一件事了
這個之前我們聊過了喔👇👇👇👇
今天來聊聊水中生產吧
https://drsu.blog/2018/02/20/super180220/
關於生產的兩三事
新同學有空就複習一下功課吧
真的很多我知道
你可以慢慢看乖👇👇👇👇
關於減痛分娩
https://drsu.blog/2017/08/07/super-170807/
關於團隊接生
https://drsu.blog/2019/05/21/super190520/
來聊聊生產時的會陰切開
https://drsu.blog/2018/11/06/super181106/
關於生產計劃書
https://drsu.blog/2017/08/18/super-170818/
關於斷臍
https://drsu.blog/2018/04/06/super180406/
有關生產時機
https://drsu.blog/2017/10/16/super-171016/
在沒有減痛分娩的前提下,究竟催生會不會比較痛?
https://drsu.blog/2017/06/11/super-170611/
labor翻譯 在 Facebook 八卦
最近,我在「TIME時代」雜志的專欄文章裡,向全球的讀者介紹了大陸「世界工廠」的+AI自動化升級。隨著勞動力成本的上漲,工業自動化、智慧化勢必是大陸製造業的一劑特效藥。自動化能讓運營成本下降,但仍能讓中國大陸保持生產品質、流程、供應鏈維度的優勢。AI賦能產業升級的願景或許還需多年才能實現,但當下的大陸已經讓未來可期。
以下是專欄文章全文,經TIME授權翻譯轉載:
「中國世界工廠 + AI 的未來」
多年來,中國大陸一直被喻為「世界工廠」,即便在全球其他經濟體紛紛遭遇新冠疫情重擊的2020年,大陸製造產業仍然維持穩健的增長范式,全年產值高達3.854萬億美元,占到全球市場近三分之一。
但如果你腦中的大陸工廠是傳統的「血汗工廠」,是時候修正你的刻板印象了。大陸經濟已經迅速地從疫情衝擊下復蘇,疫情同時催化了各種各樣人工智慧(AI)的應用場景加速實現。自2014年以來,中國大陸的AI專利申請量已經超越美國,至今維持全球領先。在學術領域,中國大陸的AI研究論文發表數量、AI期刊的引用量,也雙雙在近年超過了美國。在產業方面,AI應用在大陸的落地速度超越世界其他國家和地區,具有商業價值的AI應用如今開始百花齊放,整合了軟體、硬體和機器人技術的新一代自動化揭開序曲,AI賦能傳統行業的能量,正在蓄勢待發地重塑各行各業。
人類社會至今經歷了三次不同的工業革命:蒸汽革命、電力革命和資訊革命。我相信,AI將會是推動全球第四次工業革命的核心引擎,在世界各地點燃數位化和自動化的變革,而這波前所未有的硬科技浪潮,將由中國來引領實踐。
由於勞動人口減少和新增人口放緩,中國大陸的傳統產業正面臨著勞動力成本上升的巨大壓力,AI正是解決這個難題的技術解答。人工智慧不僅能夠降低運營成本,提高生產效率,擴大整體產能,還有望能帶來收入的增長。
例如,創新工場投資的廣州極飛科技是一家致力於未來農業的AI科技公司,極飛將無人機、機器人和感測器部署在稻田、麥田和棉花田裡,用技術賦能農業中的播種、農藥噴灑、栽種管理、甚至天氣監測環節。用於作物噴灑的極飛科技R150農業無人車已經被推廣到了英國,應用在蘋果、草莓、黑莓等多種經濟作物的種植流程中。
一些大陸的創新公司正積極把機器人拓展到意想不到的場景。總部位於北京的鎂伽是創新工場投資的生命科學智慧自動化公司,他們和實驗室、製藥公司、高校合作,憑藉AI+機器人技術的積累,用自動化解決方案執行實驗室中勞動密集、重複性高、但需要高度精確的任務和流程,同時機器人作業也將盡最大可能保護實驗室人員降低實驗過程中的感染風險。
除了創業公司,我們看到幾家成熟的龍頭企業也開始積極擁抱AI。創新工場參與了有28年歷史的中力電動叉車,這家頭部的鋰電叉車製造商已經推出了能夠在工廠、倉庫自主運行的無人叉車,並且無需對運行環境進行改造,能快速實現從手動到電動到自動駕駛的搬運賦能創新。此外,擁有50多年歷史的領先客車製造商-宇通集團,與自動駕駛獨角獸企業-文遠知行戰略合作,已在大陸三個城市的馬路上運行全無人駕駛小巴。
接著會發生什麼?我大膽預見,在更長遠的未來,機器人和AI將接管大多數產品的製造、設計、交付甚至營銷——很可能將生產成本降低到和原物料成本相差無幾。未來的機器人有能力自我複製和自我修復,甚至做到部分自我反覆運算設計。房屋和公寓將交由AI主導設計,使用預製建築模塊,交由機器人像搭積木似地築樓蓋房。無人公交、無人摩托等隨傳隨到的自動化未來交通系統,能將我們安全無虞地送達想去的地方。
這些願景成為現實或許還需要多年,但此時的大陸正在積極鋪墊引領新一代自動化革命的基石。可期的是,中國工廠的實力將不僅僅體現在產能上,而將逐步彰顯在智慧上。
本文經「TIME時代」授權進行中文編譯,原文如下:
China Is Still the World's Factory — And It's Designing the Future With AI
BY KAI-FU LEE
For many years now, China has been the world’s factory. Even in 2020, as other economies struggled with the effects of the pandemic, China’s manufacturing output was $3.854 trillion, up from the previous year, accounting for nearly a third of the global market.
But if you are still thinking of China’s factories as sweatshops, it’s probably time to change your perception. The Chinese economic recovery from its short-lived pandemic blip has been boosted by its world-beating adoption of artificial intelligence (AI). After overtaking the U.S. in 2014, China now has a significant lead over the rest of the world in AI patent applications. In academia, China recently surpassed the U.S. in the number of both AI research publications and journal citations. Commercial applications are flourishing: a new wave of automation and AI infusion is crashing across a swath of sectors, combining software, hardware and robotics.
As a society, we have experienced three distinct industrial revolutions: steam power, electricity and information technology. I believe AI is the engine fueling the fourth industrial revolution globally, digitizing and automating everywhere. China is at the forefront in manifesting this unprecedented change.
Chinese traditional industries are confronting rising labor costs thanks to a declining working population and slowing population growth. The answer is AI, which reduces operational costs, enhances efficiency and productivity, and generates revenue growth.
For example, Guangzhou-based agricultural-technology company XAG, a Sinovation Ventures portfolio company, is sending drones, robots and sensors to rice, wheat and cotton fields, automating seeding, pesticide spraying, crop development and weather monitoring. XAG’s R150 autonomous vehicle, which sprays crops, has recently been deployed in the U.K. to be used on apples, strawberries and blackberries.
Some companies are rolling out robots in new and unexpected sectors. MegaRobo, a Beijing-based life-science automation company also backed by Sinovation Ventures, designs AI and robots to safely perform repetitive and precise laboratory work in universities, pharmaceutical companies and more, reducing to zero the infection risk to lab workers.
It’s not just startups; established market leaders are also leaning into AI. EP Equipment, a manufacturer of lithium-powered warehouse forklifts founded in Hangzhou 28 years ago, has with Sinovation Ventures’ backing launched autonomous models that are able to maneuver themselves in factories and on warehouse floors. Additionally Yutong Group, a leading bus manufacturer with over 50 years’ history, already has a driverless Mini Robobus on the streets of three cities in partnership with autonomous vehicle unicorn WeRide.
Where is all this headed? I can foresee a time when robots and AI will take over the manufacturing, design, delivery and even marketing of most goods—potentially reducing costs to a small increment over the cost of materials. Robots will become self-replicating, self-repairing and even partially self-designing. Houses and apartment buildings will be designed by AI and use prefabricated modules that robots put together like toy blocks. And just-in-time autonomous public transportation, from robo-buses to robo-scooters, will take us anywhere we want to go.
It will be years before these visions of the future enter the mainstream. But China is laying the groundwork right now, setting itself up to be a leader not only in how much it manufactures, but also in how intelligently it does it.
Source:https://time.com/6084158/china-ai-factory-future/
labor翻譯 在 分娩的英文竟然跟勞工一樣!? Labor的意思你都知道嗎? 【一字 ... 的八卦
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