What to do at home的問題，透過圖書和論文來找解法和答案更準確安心。 我們挖掘到下列精選懶人包

After Work: The Fight for Free Time

為了解決What to do at home的問題，作者Hester, Helen/ Sprnicek, Nick 這樣論述：

A vital and timely proposal for a feminist post-work politicsWould you let a robot clean your house? When we think about work, we still tend to think about workplaces - if we think about reducing work, we think about reducing working hours and spending more time at home. But the home has never be

en free from work, and with the continued gendered division of labour, women still do the bulk of domestic activities. As two-income families find themselves ever more time-poor, many look to outsource to cleaners, nannies, and care workers. More and more, it would seem, people are finding themselve

s without either the emotional or the financial resources to take care of themselves and each other. The home, rather than an escape from the work and its pressures, is in fact an extension of it. After Work is a crucial corrective to this trend, extending its attention beyond paid jobs, to the impa

ct of domestic work upon familial relationships, social bonds, and our very conceptions of domestic space. What if we automated housework? In this groundbreaking work, Helen Hester and Nick Srnicek argue that there is a crisis that can and should be tackled. Only by rethinking the way we organise ou

r living arrangements, redefining our domestic standards and remaining open to the automation of work done in the home, they argue, can we imagine a world that is truly post-work.

What to do at home進入發燒排行的影片

運用醫病共享決策於血糖控制不佳之 第二型糖尿病人的成效探討

為了解決What to do at home的問題，作者毛佩玲 這樣論述：

研究背景：血糖控制不佳會增加大小血管併發症的發生及死亡風險，而糖尿病人自我健康照護行為是影響血糖好壞的關鍵因素，藉由醫病共享決策以病人為中心之照護方式，由醫護人員和病人共同參與治療決策達成共識，可激發病人成為健康參與者的能力，實現治療目標。研究目的：運用以自我效能理論為基礎之醫病共享決策實施模式，探討血糖控制不佳之第二型糖尿病人的自我效能、健康促進行為及疾病控制改變之成效。研究方法：本研究為類實驗之前驅研究，採兩組前後測之研究設計，研究對象為某區教學醫院門診有參與糖尿病共同照護方案且血糖控制不佳之第二型糖尿病人為樣本，進行隨機分派至實驗組或對照組，病人無法得知分配組別，共收案60人，每組各3

0人。研究期間為2021年4月14日至2021年9月14日，實驗組接受醫病共享決策照護模式含選擇性會談、可能性會談及決定性會談，實驗組於介入後一週及一個月各進行電訪追蹤行為遵從度。對照組則接受常規衛教。研究工具為人口學資本資料、糖尿病健康識能中文評估量表、糖尿病控制自我效能及健康促進行為量表、醫病共享決策推廣計畫成效評估調查問卷、決策後悔量表。利用SPSS22.0套裝軟體進行統計分析，包括以描述性統計方法進行人口學特性分析，推論性統計以獨立樣本t檢定（Independent Sample t- test）及卡方檢定（Chi-Square Test）檢視兩組之人口學基本資料的差異，以配對t檢定（

paired t-test）及廣義估計方程式（generalized estimating equations, GEE）分析兩組介入前後數值差異及兩組組內、組間差異。研究結果：針對血糖控制不佳之第二型糖尿病人，經由醫病共享決策衛教介入發現：實驗組相對於對照組之結果，在健康識能平均增加0.9±0.29分（p

Oliver and the Night Giants

為了解決What to do at home的問題，作者O’Meara, Kitty 這樣論述：

What would you do if three giants came to your bedroom window one night and invited you to help them fix the world? That’s exactly what happens to Oliver when he least expects it, in this very special bedtime story. Come along with Oliver and the Night Giants as they explore what happens when we all

ow our imaginations to lead the way!Oliver and the Night Giants begins when three giants appear in Oliver’s bedroom window one evening as he is drifting off to sleep. The giants convince young Oliver, a budding artist, to help them with their nighttime work of repairing the world. Oliver helps the

giants with a long list of nighttime tasks, from brightening the moon to polishing the stars, from adjusting mountains to creating snowflakes, from planting seeds to calming the sea. As he travels the planet and beyond with the Night Giants as an important part of their team. Oliver and the Night G

iants is written in the tradition of a classic children’s literature journey story. This thoughtful, poignant bedtime tale is an homage to the power of the imagination and the significance of valuing one’s dreams, and it is sure to be a favorite with children, families, and teachers. The timeless th

emes and vivid imagery make this story a pleasure to read aloud and for children to read on their own. Kitty O’Meara lives near Madison, Wisconsin, with her husband, Phillip Hagedorn, their five rescue dogs, three cats, gardens, and books. Formerly a middle school writing and literature teacher a

nd hospital and hospice chaplain, she is currently a spiritual director and has been a lifelong writer and artist. She has been called ＂the poet laureate of the pandemic＂ based on her wildly popular, widely circulated, and hopeful poem about the COVID-19 pandemic. That poem is illustrated and presen

ted in book form in And the People Stayed Home, her best-selling first print book, published by Tra Publishing. She is also the author of The Rare, Tiny Flower (Tra Publishing, 2021). PRAISE FOR KITTY O’MEARA ＂Kitty O’Meara is the poet laureate of the pandemic. . . . The poem has become shorthand fo

r a silver-linings perspective during the coronavirus outbreak.＂--O, The Oprah Magazine ＂She has given the world a small piece of joy.＂--BookTrib ＂A communal beacon of hope.＂--The Washington Post ＂She is challenging us to grow--to look inside, to listen deeply, to allow ourselves to think differentl

y, and ultimately, to create new ways of living on the planet.＂--Deepak Chopra, MD, author, Metahuman ＂A stunning and peaceful offering of introspection and hope...＂--The Children’s Book Review ＂O’Meara’s words come to life for future generations to...encourage everyone to find silver linings, think

differently and never lose hope.＂--B & N Reads Born in Genoa, illustrator Anna Pirolli moved to Milan to study illustration at the European Institute of Design, where she graduated in 2001. She has worked as a freelance illustrator and art director for companies such as Mondadori, Pearson, Vogue, M

TV, Kinder Ferrero, Telecom, Nickelodeon, Furla, Zecchino d’oro, Disney, following the creative process from concept to creation. She’s also a visiting professor at the Accademia di Brera in Milan, where she teaches design applied to the arts. Despite her love for traditional techniques, her artwork

is mostly digital. Ironically, her dream-like, suspended atmospheres often don’t look digital at all. Her first picture book, I Hate My Cats, written by Davide Calì, was published by Chronicle Books, and the illustrations from her latest book, Anonymouse by Vikki VanSickle (Tundra Books) won the Di

lys Evans Founder’s Award in the 2021 Society of Illustrators The Original Art Show.

以監督式機器學習探討電子病歷中非結構化資料對早期預測中風後功能復原後果之價值

為了解決What to do at home的問題，作者宋昇峯 這樣論述：

中風是導致成人殘障的重要原因，中風功能復原後果的精準預測，能協助病人及家屬及早準備後續照顧事宜，衛生政策制定者也能依此預測結果適切規劃人力與資源，以投入中風病人的急性後期與中長期照護。目前的中風功能復原後果預測模型皆是以結構化資料建立，甚至最新使用數據驅動方式發展的機器學習預測模型依然是以結構化資料為主。相對的，照顧病人所製作的大量敘述式病歷文字紀錄，即非結構化資料，反而甚少被使用。因此，本研究的目的，即是使用監督式機器學習來探討非結構化臨床文字紀錄於急性缺血性中風後之初期預測功能復原後果之應用價值。在6176位2007年10月至2019年12月間因急性缺血性中風住院之病人中，共3847位病

人符合本研究之收案/排除條件。我們使用自然語言處理，萃取出住院初期之醫師紀錄及放射報告中之臨床文字紀錄，並且實驗了不同文字模型與機器學習演算法之組合，來建構中風功能復原後果的預測模型。實驗發現使用醫師紀錄時，操作特徵曲線下面積為0.782至0.805，而使用放射報告時，曲線下面積為0.718至0.730。使用醫師紀錄時，最好的組合為詞頻-倒文件頻加上羅吉斯迴歸，而使用放射報告時，最好之組合為基于轉換器的雙向編碼器表示技術加上支持向量機。這些基於純文字的機器學習預測模型並無法勝過傳統的風險模型，這些傳統模型的曲線下面積為0.811至0.841。然而，不管是以曲線下面積、重分類淨改善指標、或整合式

區辨改善指標來評估，臨床文字紀錄中的資訊的確可以增強傳統風險模型的預測效能。本研究之結論為，電子病歷中的非結構化文字經過自然語言處理後，不僅可以成為另類預測中風功能復原後果的工具，更可以增強傳統風險模型的預測效能。透過演算法來自動擷取並整合分析結構化與非結構化資料，將能提供醫師更好的決策支援。