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Your Body in Balance: The New Science of Food, Hormones, and Health

為了解決Apple的問題，作者Barnard, Neal D. 這樣論述：

Now in paperback, this nationally bestselling book explains the shocking new science of how hormones are wreaking havoc on the body, and the delicious solution that improves health, reduces pain, and even helps to shed weight. Hidden in everyday foods are the causes of a surprising range of healt

h problems: infertility, menstrual cramps, weight gain, hair loss, breast and prostate cancer, hot flashes, and much more. All of these conditions have one thing in common: they are fueled by hormones that are hiding in foods or are influenced by the foods we eat. Your Body in Balance provides step-

by-step guidance for understanding what’s at the root of your suffering-and what you can do to feel better fast. Few people realize that a simple food prescription can help you tackle all these and more by gently restoring your hormone balance, with benefits rivaling medications. Neal Barnard, MD, a

leading authority on nutrition and health, offers insight into how dietary changes can alleviate years of stress, pain, and illness. What’s more, he also provides delicious and easy-to-make hormone-balancing recipes, including: Cauliflower Buffalo Chowder Kung Pao Lettuce Wraps Butternut Breakfa

st Tacos Mediterranean Croquettes Apple Pie Nachos Brownie Batter Hummus Your Body in Balance gives new hope for people struggling with health issues. Thousands of people have already reclaimed their lives and their health through the strategic dietary changes described in this book. Whether you’

re looking to treat a specific ailment or are in search of better overall health, Dr. Neal Barnard provides an easy pathway toward pain relief, weight control, and a lifetime of good health.

Apple進入發燒排行的影片

會員制無人商店的精準行銷之研究

為了解決Apple的問題，作者陳建仁 這樣論述：

科技的進步，並且網路的發展日漸與生活結合在一起，再加上行動裝置的普及等條件，促使人們在消費行為已陸續的將以往在實體營業據點且高度仰賴現金的模式開始移轉到無實體或無接觸的消費場域。2020起COVID-19疫情的肆虐下更加速改變人們的消費習慣，從禁止外出到能不外出就不外出，避免遭受疫情的感染，人們以減少對陌生人接觸的原則改變了原有的生活模式。因此推動了網路電商的第二次發展再起、以及外送平台的竄出。透過無實體或零接觸方式的消費比重在未來的消費比重可望持續提升，店家除了要把產品上架在上述通路外已是必然，但上架只是增加銷售的曝光度，真正的重點是如何主動出擊?讓消費者前來進行銷費。會員制的消費規則建立

目的起初除是為了能有較為穩定的會員消費者，如今可透過蒐集會員的消費紀錄，累積成有用的大數據，提供店家進行大數據的分析，讓其能夠善用執行行銷時的主要指引。透過分析資料，了解顧客的消費喜好、消費頻率、消費習慣，用於商家在進行行銷策略的主軸，以發現潛在的目標客戶，主動的提供/發送行銷資訊，將更有效率的達到提升營收的目的，以及避免過多無效的行銷成本的投放，減降營業費用以達到企業經營獲利目標。

New York Pop Up Book

為了解決Apple的問題，作者Ehrhard, Dominique 這樣論述：

A fun, interactive pop-up book celebrating the monuments and landmarks that make the Big Apple the world’s most popular tourist destination.A selection of New York’s most iconic settings and architectural wonders unfold in seven pop-ups contained in a charming pint-sized package, making it easy t

o carry along while on tour. Easy to tuck in a bag or a pocket, this book is truly the perfect souvenir or gift for tourists as well as anyone who wants to share their love of the Big Apple. Each spread delivers an iconic building or monument accompanied by a two-page spread with text profiling the

historical background and cultural significance of the structure or scene depicted in the pop-up. The package is designed with a retro feel and features vintage-style street maps as backgrounds for the pop-ups and other graphic elements that make this an elegant, charming gift or souvenir. Represent

ed as pop-ups are a range of traditional and contemporary New York scenes known the world over that nearly every visitor wants to experience or photograph for their Instagram: the Statue of Liberty, the Empire State Building, the Guggenheim Museum, Times Square, Brooklyn Bridge, the Freedom Tower, a

nd the Oculus. Artist Dominique Ehrhard has created a one-of-a-kind object that will delight all ages.

一個使用智慧型手機實現深度學習心電圖分類的心臟疾病辨識系統

為了解決Apple的問題，作者何亞恩 這樣論述：

目錄誌謝 i摘要 iiAbstract iii目錄 v圖目錄 viii表目錄 xi第一章 緒論 11.1研究動機 11.2研究目的 21.3研究架構 2第二章 研究背景 32.1心電圖與疾病介紹 32.1.1心臟導程 32.1.2心臟疾病介紹 52.2Android系統 102.2.1 Android的基礎 102.2.2 Android系統框架 102.3相關文獻探討 11第三章 研究方法 173.1資料庫介紹 173.2訊號前處理 193.2.1小波濾波 193.2.2訊號正規化 213.3一維訊號轉二維影像 213.3.1手機螢幕上

繪製圖形 213.3.2影像儲存於智慧型手機 233.3.3資料擴增Data Augmentation 243.4深度學習架構 253.4.1多卷積核架構 253.4.2注意力模型 283.4.2.1通道注意力模組Channel attention 293.4.2.2空間注意力模組Spatial attention 303.4.2.3激活函數Activation function 303.5損失函數Loss function 313.6交叉驗證Cross validation 323.7優化訓練模型 333.8移動端應用 343.9硬體設備、軟體環境與開發環境 36

3.9.1硬體設備 363.9.2軟體環境與開發環境 37第四章 研究結果與討論 3834.1評估指標 384.2訓練參數設定 404.3實驗結果 414.3.1深度學習模型之辨識結果 414.3.1.1比較資料擴增前後之分類結果 414.3.1.2不同模型架構之分類結果 424.3.2智慧型手機應用結果 464.4相關文獻比較 48第五章 結論與未來展望 525.1結論 525.2未來展望 53參考文獻 54