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A Womans Will: The Changing Lives of British Women, Told Through the Things They Have Left Behind

為了解決A clothes的問題，作者Holton, Viki 這樣論述：

Heroines and harlots, political hostesses and mistresses, the women who lived in the great houses, and the thousands more who led more ordinary lives--they all have a place in British history. Many lived and died without a lasting record of their existence beyond the register of births, marriages an

d deaths--perhaps not even there. But fortunately, some women did leave behind far richer evidence of their lives, itemized and expressed in the wills they wrote, providing a precious historical record that can be stitched together again today. Using women's wills across the centuries this book aims

to tell something of women's stories--the pioneers, the celebrities and the achievers, as well as the majority who history ignored. Their bequests are fascinating and diverse, from "my best beaver hatt" mentioned in Tudor times to great houses such as Chequers. They range from the Duchess of Windso

r's Cartier jewels at the top of society to the many wills of poorer women who left practical and personal possessions: pots and pans, tools for farming, clothes passed down to friends and family, or a few pennies for their local church. This book will appeal to anyone interested in Britain's story

and the role women have played in it. Viki Holton is a business school Senior Research Fellow and the author of How to Thrive and Survive as a Working Woman and How to Coach Your Team.

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社群媒體成為政治論爭的煽動空間 : 用戶的網路煽動行為與語氣分析

為了解決A clothes的問題，作者張家瑜 這樣論述：

自 2020 年爆發的新冠疫情，人們的外出行動因封鎖管制而受到諸多限制，這也導 致原本的政治論爭在網路空間益加活躍。像是在社群媒體溝通脈絡中，人們討論有關新冠 病毒源頭的議題，往往與支持「線上民族主義」的網路挑釁者掛勾在一起。當中國成為 冠病毒的起源地，並散播到世界各地之後，熱衷於民族主義的中國網民，常對來自不同國 家且抱持不同政治立場和社會觀點的網民進行網路攻擊和煽動行為，這樣的網路煽動行為 因新冠疫情更加嚴重，其他國家的網民也往往是透過這些充滿挑釁和煽動意味的網路言論 戰爭和社群媒體溝通，而有機會與中國網民有所接觸。本論文旨在探討中國與其他國家的 網民間因政治立場和社會觀點的差異而引發的

網路煽動行為，本論文針對社群媒體溝通脈 絡中，網路煽動言論的語氣和動機進行分析，並討論網路挑釁和煽動如何從社群媒體溝通 脈絡轉化為實際的政治行動。本論文首先針對來自台灣、香港和中國網民間的網路挑釁和 煽動言論進行語氣分析，接著分析中國網民與其他國家網民間的網路挑釁和煽動言論，關 注中國網民與美國網民和印度網民間的網路互動和煽動言論。本論文沿用 De Fina 提出的 「語氣分析」研究方法，分析 157 條網路挑釁和煽動言論，針對這些社群媒體溝通中的五 種語氣進行分析，包括:諷刺、和藹、咄咄逼人、中立和曖昧語氣。採用語氣分析和多模 態溝通的研究方法，本論文認為中國網民和非中國網民之間的網路攻訐很

大程度上受「文 化鄰接」或「意識形態歧異」兩種因素所影響，這不僅顯示中國網民和非中國網民之間的 網路挑釁和煽動言論很多集中在民族主義和意識形態差異的爭論上，也發生在不同國家的 網民間對共同華人文化認同上的爭論。本論文也說明網路煽動言論有部分源自生活日常中 的社會事件，並從網路空間的挑釁和煽動言論，進一步在現實世界中引發後續政治效應， 這些效應有些是來自政府官員、非政府官員和一般社會大眾: 然而，有些則停留於網路溝 通層面，並沒有後續政治效應。

Ciy: Crochet-It-Yourself: 15 Modern Crotchet Designs to Stitch and Wear

為了解決A clothes的問題，作者Wright, Emma 這樣論述：

With 15 beautiful designs, CIY: Crochet-It-Yourself takes you through all the steps and techniques that you need to master and refine your crochet skills. In this fresh and modern guide to crochet, Emma Wright shows you how to create your own stylish crochet collection. Once you have mastered the

basics, Emma will show you how to confidently play with color and pattern to make clothes that suit you style and add your own creative flair to. Through the chapters (Jumpers, Cardigans and Accessories), learn how to build on your technique and move away from crochet for the home. Emma offers up h

ints and tips, as well as clear step-by-step images to help refine your skill as you take on this new challenge. Through Emma’s clear instructions and expert tips, CIY: Crochet-It-Yourself will show you how to enter the wonderful world of crochet, whether you are new to the craft or already have a c

ouple of projects under your belt.

基於深度學習與顏色特徵之行人辨識方法比較

為了解決A clothes的問題，作者陳文得 這樣論述：

行人辨識主要目的在於跨鏡頭人物的搜尋，也就是在不同鏡頭中找到同一個人。在深度學習被廣泛應用前，使用人物特徵直接進行比對是種常見方法，本文中研究的顏色特徵，便是屬於其中的一種方式。將顏色代表的數值劃分，使用KNN方式歸類各個顏色所在區域，以此為依據，取得人物圖像的顏色特徵，進行辨別。但由於鏡頭解析度不同、光線明暗不同，使得該人物即使衣著不變的情況下，顏色的特徵也會產生變化，進而影響比對的結果。所以，本文另一研究，採用深度學習方式，先對人物圖像進行水平切割，分別提取特徵，進行特徵訓練，並且加入動態對齊的演算，用來彌補人物姿態不一致的問題。最終實驗結果，優於直接特徵擷取的比對準確度相對提高。