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Amazing Animals Activities & Stickers

為了解決Happy time的問題，作者Bright, J. E. (ILT)/ Clever Publishing (COR) 這樣論述：

The colorful pages of AMAZING ANIMALS ACTIVITIES & STICKERS are packed with fluffy mammals, scaly reptiles, swimming sea creatures, and flying birds The entertaining activities include matching games, mazes, word searches, number challenges, decoder games, and fun facts - all designed to keep busy

young minds engaged.With lots and lots of fun-filled stickers, kids will develop hand-eye coordination and early skills as they play.The handy take-along format is perfect for kids on the go J.E. Bright is the writer of more than 120 novels, novelizations, non-fiction books, interactive storybook

apps, and novelty books for children and young adults. He was a children’s book editor for almost 20 years, at publishing companies including Scholastic, HarperCollins, and Simon & Schuster. Now he writes full time.Clever Publishing was founded in 2010 with the purpose of changing children’s lives

for the better. We create a world full of fascinating experiences for families through our books, games, sets, and series. Focusing on Pre-school and Edutainment, we’ve developed a wide range of innovative formats with modern teaching techniques. Kids love to read, touch, and play while learning, so

our program includes products for all ages, including box sets; board books; puzzle books; learning flash cards; interactive coloring, activity, and word play formats; and boards games for the entire family. Our dream team - more than 100 employees worldwide - have a comprehensive understanding and

knowledge of children’s books. With this expertise, we present products that are fun, entertaining, and vibrant. We are modern and educational and strive to always emphasize the importance of first experiences. We connect to the needs of busy parents and aim to enrich the time spent with their chil

dren. Our goal is to make children - as well as their parents happy!

Happy time進入發燒排行的影片

築夢踏實－腳踏車繪畫創作研究

為了解決Happy time的問題，作者邱淑惠 這樣論述：

腳踏車在不同年代，承擔了不同的功能與角色。早期農業社會交通不便，耕種下田艱辛勞苦，腳踏車扮演了能負重、能騎乘的重要功能，形成人們對腳踏車依賴的特殊情感。就是這份對腳踏車的執愛情感，讓筆者過去的作品，經常出現腳踏車的身影，目前持續創新作品，並以腳踏車作為這次繪畫創作論述的主題。本研究目的有三項：(1) 關懷在地鄉土文化，探討台灣早期農村社會與當代社會腳踏車的水墨形式與記憶體驗，以詮釋東方人文美學及逐夢踏實精神內涵。(2) 研究以腳踏車進行繪畫創作的相關學理認知與思維文獻，「因心造境」從傳統與現代手法，形塑自我創作風格。(3) 探討在傳統與現代水墨中求得平衡，創作懷舊鄕情系列、休閒怡情系列、與逐

夢意象三大系列作品，並延伸嘗試新媒材與技法運用之可能性，一改以往獨鍾宣紙作畫後裱捲軸模式，大量使用膠彩、壓克力、複合媒材的交互運用，各取其優點佈局在畫作上。本研究歸納三大項研究結論：(1)媒材技法多元融合運用、(2)創作形式融合傳統及多種實驗技法呈現、及(3)創作思維不斷漸進領悟體會轉化。懷舊鄕情系列，以老房子刻劃了歲月痕跡的門窗、舊式的鐵馬、紅色的磚牆，代表懷舊的農村特色，把鄉土情懷氛圍融入創作形式的表現。休閒移情系列是以輕鬆活潑的筆調，取景台灣熱門景點、絢麗自然景觀、或清幽秘境為題材內容，表現騎腳踏車悠遊的心情，達到休閒怡情、運動健身的目的。築夢意象系列統整理念與技法移入情境構成，將外在的

物相，與自我內在心靈交融，達到表露內在情感。表現技法使用揉紙法、撞粉法、拓印法、撕貼法，以突顯畫面輕快節奏韻律感，反應騎腳踏車漫遊的愉快旅程。探索藝術之路漫無止境，筆者於此階段創作，體悟筆墨技法上仍有不足之處，作品呈現仍過於具象，希望在技法形式上，能由具象而漸抽象性，追求中國畫象外之「意」、言外之「情」，達到「不似之似」的藝術境界。筆者期能秉持對藝術創作的熱忱，虛心學習名家先賢的啟發，沉潛自我，突破框架，繼續超越自我軌跡，創作更精進的作品，開拓屬於個人符號的新風貌。

The Naughty Bench

為了解決Happy time的問題，作者Benjamin, A. H. 這樣論述：

A hilarious tale of classroom antics every kid and teacher will love!Things aren’t going well for Room 4. The weather is horrendous, the zoo field trip is cancelled, and Miss Cross has an awful headache. Flynn blows a raspberry. Go and sit on the bench! Miss Cross orders. Ruby and Phoebe argue. T

he bench! Oscar takes too long at the toilet. The BENCH! Soon, the whole class is on the bench, and it isn’t long before Miss Cross sends herself, too! Of course, no storm or bad morning can last forever, and soon giggles--and a very happy ending--pull the class together.Funny, heartwarming, and ado

rably illustrated, The Naughty Bench is one story every teacher will recognize and every classroom will love! A perfect read for rainy, grumpy mornings (and a delightful way to get a wayward class back on track), this tale by long-time children’s author AH Benjamin is destined to become an instant c

lassroom classic.

觀影人情緒辨識分析之個人差異研究

為了解決Happy time的問題，作者簡薏珈 這樣論述：

臉部表情的辨識通常可用來判斷觀影人在觀看影片時，情緒之高低起伏及轉折。本研究有兩個目標：1）判斷臉部表情是否可以用來辨別內心的情緒狀態，2）研究如何利用對個人差異的暸解來對臉部表情辨識系統進行個人化情緒校正。本研究提出了一個新的方法，整合了人工智慧臉部情緒辨識模型與個人情緒校正模型來對人臉部表情進行情緒校正。首先，臉部情緒辨識模型以人工智慧神經網路EfficientNet作為架構，進行情緒分類及面部情緒分數計算，並將辨識出的情緒分數歷程轉換為個人觀影各類情緒分數。接著以隨機森林（Random Forest）演算法作為分類器，從本研究設計的問卷所收集之觀眾個人資料、人格特質與影片資訊作為輸入，

來預測觀眾對影片的評分。為了驗證模型之可行性，本研究收集了十二部不同類型的喜劇或戲謔影片，並參考文獻設計了一個人格分析問卷及影片評分表，由觀影者在看完每部短片後立即評分，並在觀影後完成問卷。實驗結果顯示個人化差異因子與臉部情緒表情有顯著關聯，而且利用問卷所收集之個人化差異因子，在95%信賴區間下，可更準確地達到80％以上的準確度。從實驗結果也發現，不同面向的情緒分數能幫助個人情緒校正模型更有效的預測觀影者對影片的評分。