PEP的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

Manchester City Scrapbook: A Backpass Through History

為了解決PEP的問題，作者O’Neill, Michael 這樣論述：

Manchester City Scrapbook is packed with rare photographs images and on the page facsimile memorabilia and provides an insight into the unique journey of what is currently one the most successful football club’s in the world. Featuring a wide variety of superb on the page rare memorabilia from th

e archives covering Manchester City’s history including match tickets match programmes team sheets and promotional material. Follow the authoritative story charting the historical rise from the clubs origins to Pep Guardiola’s team that has been dominating English Football for the last decade With a

dditional career player retrospectives, a focus on the managers who have guided the club and some in depth statistical information, Manchester City Scrapbook looks at some of those moments in this unique collection of images and memorabilia from this club’s golden age.

PEP進入發燒排行的影片

身心障礙兒童馬術治療粗大動作表現量表之發展

為了解決PEP的問題，作者黃子芸 這樣論述：

　　有鑑於馬術治療實務現場評量工具的應用需求，本研究旨在探討發展身心障礙兒童馬術治療粗大動作表現量表，並進行量表信效度初探。本研究藉由閱覽統整國內外相關文獻，初步建構馬術治療領域的應用主軸，進而發展身心障礙兒童馬術治療粗大動作表現量表，其內涵有三個主軸構面：姿勢控制、平衡能力和姿勢轉換，並初擬量表題目。其次，邀請 12 位專家進行內容重要性評定，依專家效度指數（I-CVI）選出量表題目共 23 題，包含姿勢控制 10 題、平衡能力 8 題及姿勢轉換 5 題。接續，邀請4位馬術治療臨床專家，以量表實際評量3位身心障礙兒童，並於相隔一週後，再評量一次，採用Cronbach’s α係數、組內相關係

數（ICC）及Spearman進行統計分析。結果顯示本研究量表內部一致性為可接受的範圍（Cronbach’s α＝.80），評量者間信度達中度信度（ICC = .66; p

Maradona: The Boy. the Rebel. the God.

為了解決PEP的問題，作者Balague, Guillem 這樣論述：

MARADONA is the definitive new biography of a true global icon, from world-renowned football writer and journalist Guillem Balagué.Diego Armando Maradona was widely acclaimed as a genius. One of the greatest footballers of all time, he was also one of the most controversial. In an international care

er with Argentina he earned 91 caps and scored 34 goals and played in four FIFA World Cups. With his unforgettable ’hand of God’ goal and unsurpassed second one in the 1986 quarter-final against England, he captained his nation and led them to victory over West Germany in the final in Mexico. His vi

sion, passing, ball control and dribbling skills, and his presence and leadership on the field, often electrified his own team’s overall performance. Maradona’s club career included dazzling spells in his own country at Argentinos Juniors, Boca Juniors and Newell’s Old Boys, and in Europe with Barce

lona, Napoli and Sevilla. Yet his life was one of relentless media attention, including tales of drug abuse and constant health issues. Based on in-depth interviews and first-hand stories, Guillem Balagué’s masterly biography represents a psychological and sociological approach to the legend. This j

ourney of exploration takes Guillem to Argentina, Spain, Italy and Dubai. Along the way, he asks what fosters such adulation, and how this adoration engendered a self-destructive personality. Even after his untimely death in 2020, Maradona continues to fascinate: his divine status seemingly preserve

d for ever. Guillem Balague is a Spanish football journalist, prizewinning author and pundit, first for Sky Sports and now for BBC Radio 5 Live. He is the author of A SEASON ON THE BRINK - A PORTRAIT OF RAFA BENITEZ’S LIVERPOOL (2006); the first biography of PEP GUARDIOLA (2012); MESSI (2013); CRI

STIANO RONALDO (2015), the Football Book of the Year at the Cross Sports Book Awards; and the bestselling Brave New World - INSIDE POCHETTINO’S SPURS (2017). He is chairman of non-league Biggleswade FC, and lives in Hitchin in Hertfordshire. http: //www.guillembalague.com/en/home https: //twitter.co

m/GuillemBalague https: //www.facebook.com/guillembalague

高靈敏度數據非依賴性採集質譜技術: 從微量蛋白體學至單細胞蛋白體學

為了解決PEP的問題，作者史昂德 這樣論述：

蛋白質質譜法是鑑定複雜生物系統中蛋白質體的一種工具。然而，深度蛋白質體分析需要大量的細胞、組織或臨床樣品，並且涉及許多處理步驟，實驗設計經常需要在可獲取的樣本大小和蛋白質體覆蓋率之間進行權衡。因此，高效率且靈敏的方法將促進蛋白質體學在微量樣品中的應用。為了解決以上問題，我們在本論文開發了高靈敏度的蛋白質體學方法，並且應用於微量至單細胞的蛋白質體分析。首先，我們應用了Stage Tip方法來評估微克級樣品的靈敏度，從約1微克的細胞裂解液中鑑定到超過2000種蛋白質，並且具有良好再現性。接著，為了串聯微流體裝置以進行更微量蛋白質體樣品實驗，我們建立一套一鍋化微量蛋白質體樣品製備法，可對少量細胞進

行深度定量蛋白質體分析（約5000顆細胞可鑑定 >4000種蛋白質）。最後，我們將該方法應用於微流體晶片（稱作iProChip），並且結合數據非依賴性採集質譜法，建立了一個精簡的微量蛋白質體實驗流程。利用晶片進行樣品製備，以及客製化的圖譜資料庫進行數據非依賴性採集圖譜比對。我們在20顆哺乳動物細胞中，平均每顆細胞可鑑定到約1,500種蛋白質，為迄今最靈敏的單細胞蛋白質體分析之一。將此方法應用至貼附和非貼附癌症細胞的分析，定量動態範圍可以穩定地到達5個數量級，並可測到重要的藥物靶點和訊號傳遞物質，每次質譜分析之間的缺失值(missing values) 小於16%。此外，我們發展了樣品大小相容圖

譜資料庫（sample size-comparable spectral library）的策略，可增加少量樣品的蛋白質鑑定數。例如，在0.75奈克（約5顆細胞）和1.5奈克（約10顆細胞）可以分別鑑定2380和3586種蛋白質，擁有很高的蛋白質體覆蓋率，且具有良好再現性（三重覆分析為 86%-99%）。在圖譜相似性分析中，我們發現實驗圖譜和圖譜資料庫的碎片離子模式之相似度對於比對低豐度蛋白質扮演非常重要的作用。總結來說，我們開發新穎的方法將蛋白質體樣品製備整合到一個小型化平台上，從而為微量蛋白質體學和單細胞蛋白質體學的應用提供進階方法。關鍵字：蛋白質體學、微量蛋白質體學、單細胞蛋白質體學、數

據非依賴性採集、質譜技術