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The Inflatables in Do-Nut Panic! (the Inflatables #3)

為了解決Nut的問題，作者Garrod, Beth,Hitchman, Jess 這樣論述：

Beth Garrod is a bestselling young adult and middle-grade author, and an award-winning TV and digital producer and writer. Beth has lived in the UK, Canada, and the US, helping create BAFTA and Bologna Ragazzi winning content, shows and campaigns for brands including BBC Radio 1, Comic Relief, MTV,

and CBBC. Specializing in using music and entertainment to create content that celebrates and empowers young people, most recently she has produced award-nominated youth social impact documentaries and dramas in South Africa and India. Beth lives in London and is currently developing and writing a B

FI-backed pilot with Jess for a TV comedy drama about girls in tech. Her favorite inflatable is anything with a snack-holder. Chris Danger is no stranger to having fun in the sun! He grew up in Hawaii where he got his PhD in water-based shenanigans. Aside from goofing around in the ocean with his fr

iends, Chris also loves to draw and create fun books for kids. He lives in Portland, Oregon, with his girlfriend, Eva; their dog, Louie; and their cats, Freyja and Yoko (the real life Paws and Claws.) Jess Hitchman is a children’s author, screenwriter, and digital product consultant. She has built p

roducts and led strategy for youth and entertainment brands including Radio 1, XFM, MTV and Nickelodeon. At BBC Children’s, she led the vision for some of the UK’s most loved kids’ apps, including the BAFTA-nominated CBBC Buzz and Cbeebies Playtime Island. As a side project, Jess set up Oops Yay, a

digital play studio. Her educational apps for preschoolers have been featured by Apple all over the world. Her favorite inflatable is anything that someone else blows up.

Nut進入發燒排行的影片

機械學習分類演算法在線性致動器缺陷元件檢測之應用

為了解決Nut的問題，作者許志安 這樣論述：

將線性滑軌與精密滾珠導螺桿的功能整合在單一組件的線性致動器，因兼具高剛性與行程精度，常應用於自動化產業的精密定位、量測..等設備。但因組成元件較多且複雜，元件的組裝品質常是決定線性致動器性能的關鍵。目前，大多數的製造商雖可透過麥克風，以量測線性致動器運轉的噪音值分辨不良品，但後續尚需大量人工檢查瑕疵元件，以確認產品不良的原因。本研究希望透過感測器與機械學習分類法，達到快速且自動化檢測出不良品，並可分辨缺陷元件狀態。滑塊螺帽是由線性滑軌之滑塊與滾珠螺桿之螺帽組成，為線性致動器最常發生不良品的組件，尤其是滾珠間隙、迴流器與螺帽的段差..等。本研究以三軸加速計安裝於滑塊螺帽，以及將麥克風安裝在實驗

平台上，透過往復運轉蒐集振動訊號與聲音訊號，並轉換為時間域與頻率域特徵值，還透過主成分分析(PCA)探討其特徵特性。機械學習分類法部份，使用K-近鄰演算法(KNN)與支持向量機(SVM)，對4類滾珠間隙、4類迴流器段差缺陷狀態、4類段差缺陷程度，進行分類訓練與測試並比較其效益。因分類數目高達52種，將耗費較大建模與測試時間，不利快速線上檢測，所以本研究採用三階段的模型數據分析，同時保有相當的分類準確度且大量降低演算時間。實驗結果顯示，透過三階段的分類架構，振動與聲音訊號的最佳分辨率為SVM-最佳高斯核82.59%與94.06%。驗證本研究模型對於線性致動器缺陷元件檢測與分類的可行性。

Sourdough Breads from the Bread Machine: 100 Surefire Recipes for Everyday Loaves, Artisan Breads, Baguettes, Bagels, Rolls, and

為了解決Nut的問題，作者Anderson, Michelle 這樣論述：

Now you can enjoy the soul-warming aromas and beguiling flavors of homemade sourdough with much less fuss and with a whole lot less time in the kitchen.In Sourdough Breads from the Bread Machine, best-selling bread-machine author Michelle Anderson turns her expert hand to sourdough breads and sho

ws that these supposedly difficult breads really can be very easy to make, if you have a bread machine in your kitchen arsenal. She does so by way of delivering 100 delectable and foolproof recipes, from basic loaves for the weekday whirl to rustic artisan breads like ciabatta, focaccia, brioche, an

d baguettes, along with nut breads, cheese breads, herb breads, and sweet dessert breads like babka and stollen. The recipes include: Light Rye SourdoughDates and Maple BreadSan Francisco SourdoughBlue Cheese-Pecan SourdoughMultigrain SourdoughSourdough Cinnamon Rolls You will learn how to acquire,

work with, and store a good sourdough starter. You will find family-recipes for lunchbox sandwiches and elegant breads to serve when you have company. You will find healthy breads made with whole grains and with nutritious filings like nuts, yogurt, veggies, and fruit. Above all, you will find bread

s that are a delight to eat.And you probably know that working with sourdough always yields lots of extra dough, called ＂discard.＂ The book has a special chapter that reveals all the glorious things you can make with sourdough discard, from Sourdough Brownies and Sourdough Blueberry Muffins to Sourd

ough Pancakes, Sourdough Lemon Scones, and even Sourdough Chocolate Chip Cookies.This is a book that makes sourdough easier than you ever thought--and better tasting than ever.

源自生物苯並惡嗪連接前體的微孔碳和碳金屬複合材料用於二氧化碳捕獲和儲能應用

為了解決Nut的問題，作者李文誠 這樣論述：

為了尋求更具有選擇性二氧化碳捕獲和/或優異儲能性能的多孔碳材料合成方法以及材料對環境的影響與可再生性。在這項研究中，我們通過芹菜素（一種天然存在的苯酚）與 4-溴苯胺和多聚甲醛的曼尼希縮合反應，以高產率製備了一種新型生物基苯並惡嗪(AP-BZ)。然後以 Pd(PPh3)4 為催化劑通過 AP-BZ 與 1,3,6,8-四乙炔芘 (Py-T) 的 Sonogashira 偶聯製備了 PA-BZ 多孔有機聚合物 (POP)。在傅里葉變換紅外光譜和差示掃描量熱法鑑定了 AP-BZ 單體和 PA-BZ POP 中惡嗪環熱聚合的細節。再接下來，我們分三步驟製備了微孔碳/金屬複合材料（PCMC）：在沸石

咪唑酯骨架（ZIF-67）作為定向硬模板，AP-BZ與PT的Sonogashira偶聯，得到PA-BZPOP /ZIF-67 複合材料；在醋酸中蝕刻；以及所得 PA-BZ POP/金屬複合材料在 500 °C 下的熱解。粉末 X 射線繞射、熱重分析、掃描電子顯微鏡、透射電子顯微鏡和 Brunauer-Emmett-Teller (BET) 測量揭示了所製備的 PCMC的特性。 PCMC 材料表現出出色的熱穩定性（Td10 =660 oC 和殘碳率 = 75 wt%）、高 BET 表面積（1110 m2 g–1）、高 CO2 吸附（5.40 mmol g–1 at273 K）、良好的電容(735

F g–1)，並且在 2000 次恆電流充放電 (GCD) 循環後電容保持率高達 95%；在與通過使用 ZIF-67 模板在 500 °C 下熱解 PA-BZPOP 前體製備的微孔碳 (MPC) 相比，這些特性非常出色。