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The Hard Parts: From Chernobyl to Paralympic Champion--My Story of Achieving the Extraordinary

為了解決Photo by的問題，作者Masters, Oksana 這樣論述：

Oksana Masters, the United States’ most decorated winter Paralympic or Olympic athlete, tells her jaw-dropping story of triumphing over extraordinary Chernobyl disaster-caused physical challenges to create a life that, by example, challenges everyone to push through what is holding them back.Oksa

na Masters was born in Ukraine--in the shadow of Chernobyl--seemingly with the world against her. She was born with one kidney, a partial stomach, six toes on each foot, webbed fingers, no right bicep, and no thumbs. Her left leg was six inches shorter than her right, and she was missing both tibias

. Relinquished to the orphanage system by birth parents daunted by the staggering cost of what would be their child’s medical care, Oksana encountered numerous abuses, some horrifying. Salvation came at age seven when Gay Masters, an unmarried American professor who saw a photo of the little girl an

d became haunted by her eyes, waged a two-year war against stubborn adoption authorities to rescue Oksana from her circumstances. In America, Oksana endured years of operations that included a double leg amputation. Still, how could she hope to fit in when there were so many things making her differ

ent? As it turned out, she would do much more than fit in. Determined to prove herself and fueled by a drive to succeed that still smoldered from childhood, Oksana triumphed in not just one sport but four--winning against the world’s best in elite rowing, biathlon, cross-country skiing, and road cyc

ling competitions. Now considered one of the world’s top athletes, she is the recipient of seventeen Paralympic medals, the most of any US athlete of the Winter Games, Paralympic or Olympic. This is Oksana’s astonishing story of journeying through a series of dark tunnels--and how, with her mother’s

love, she finally found her way into the light. Her message to anyone who doesn’t fit in: you can find a place where you excel--where you have worth.

Photo by進入發燒排行的影片

超疏水性在結露狀況下對氣冷式熱交換器性能的影響

為了解決Photo by的問題，作者莫尼實 這樣論述：

濕空氣冷凝是熱管理系統中常見的過程，在冷凍空調循環中尤為重要，冷凝現象發生於當熱交換器，特別是蒸發器，在低於空氣露點的溫度下操作時。此現象將會導致鰭片側的冷凝液滴(膜)滯留(retention)與橋接(bridging),進而造成風機壓降與能耗的增加。本研究旨在開發一種超疏水熱交換器，通過其疏水特性，最大限度地減少冷凝水的滯留和橋接。本研究提出一種新型的超疏水性鰭片換熱器設計構想，採用傾斜鰭片排列以達到最小壓降和最大節能效果。本研究從熱傳與壓降性能的觀點切入，將新型超疏水性傾斜鰭片換熱器與其他換熱器作比較分析，分別為：超疏水水平鰭片換熱器、親水性傾斜鰭片換熱器、與親水性水平鰭片換熱器。此外，

本研究藉由改變不同的操作條件，如：進氣溫度、相對濕度和鰭片間距，對這四種換熱器進行性能測試。親水和超疏水換熱器中分別以膜狀冷凝和滴狀冷凝模式為主。由於其表面的高潤濕性，親水換熱器會有較大的液滴脫落直徑。相比之下，超疏水換熱器中發生的 Cassie-Baxter 液滴模式，促使了較小的液滴脫落直徑。本研究建立了一個力平衡模型來分析液滴脫落直徑，模型參數包括了表面張力、慣性力與重力對液滴的影響。本研究基於韋伯數(We)與邦德數(Bo)與液滴脫落直徑，引入了一個新的無因次參數( )，該無因次參數 可預測表面的凝結水脫落能力，在給定的鰭片間距下， 越小代表凝結水脫落能力越好。研究結果表明，滴狀冷凝的

超疏水換熱器在濕空氣下的冷凝熱傳性能相較膜狀冷凝的親水性換熱器並未有顯著的提升，此結果可歸因於非凝結性氣體效應。然而，在壓降方面，超疏水性換熱器與親水性換熱器相比，可帶來高達70%的壓降降低，大幅提升節能效果。壓降的降低歸因於聚結誘發的液滴跳躍現象，使得冷凝水連續脫落。

The Bridgetower Sonata: Sonata Mulattica

為了解決Photo by的問題，作者Dongala, Emmanuel 這樣論述：

Marjolijn de Jager is a translator of both French and Dutch with a particular emphasis on writing by marginalized people and women in the Caribbean and Sub-Saharan Africa. She is the winner of the 2021 Grand Prize for Translation given by the French Voices Award of the French Cultural Institute for

her translation of THE MEDITERRANEAN WALL by Louis-Philipppe Dalembert, and her translation of the book Congo, Inc: Bismarck’s Testament (Indiana University Press) was shortlisted for the Best Translated Book Awards in 2019. She lives in Connecticut.Emmanuel Dongala, (b. 1941) is a Congolese author

and scientist who came to the United States in 1997 due the civil war in Congo, and was offered a fellowship to teach chemistry at Bard College and its private school affiliate Simon’s Rock, where he taught until 2014. He is the author of the novels, Group Photo by the Riverside, Little Boys Come fr

om the Stars, and Johnny Mad Dog, which was adapted for a film. He lives in western Massachusetts near the historical home of W.E.B. Dubois.

基於PPG信號和卷積神經網路測量血壓

為了解決Photo by的問題，作者黎文雄 這樣論述：

光體積變化描記圖法 (PPG) 是一種非侵入性和低成本的技術，現在被廣泛應用於許多血壓量測的研究中。儘管 PPG 信號的品質對血壓演算法的準確度有很大影響，但有關PPG信號的品質檢查並未得到重點關注。在實際量測時，除PPG信號外，反相PPG信號、雜訊、運動信號都會被採集，這些錯誤的信號如果無法去除就會導致錯誤的預測結果。因此，為了解決這個問題，本文提出了一種用於檢查PPG信號品質的新型卷積神經網路 (CNN) 模型，此使用新型CNN的品質檢查模型已被成功訓練和驗證，具有高精度和高性能。此外，本文還設計了另一個卷積神經網路模型來計算血壓，該模型可以自動檢測 PPG 信號中的重要特徵。最後，品質

檢查模型和 CNN 模型都成功嵌入到 Matlab 界面中，用於測量和收集更多數據，以便將來校準模型。