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Deliciously Healthy Pregnancy: Food and Recipes for Optimal Health from Conception to Parenthood

為了解決Put on weight的問題，作者DK 這樣論述：

Understand the science and the impact your diet can have on pregnancy, and prepare for all the stages with practical advice and recipes from a leading nutritionist.After falling pregnant with her first child, Rhiannon Lambert realized there was a vacuumof information available from nutritional ex

perts, like herself, to guide her through her pregnancy. The only information that is easily accessible is from a variety of conflicting internet sources with a wide range of credibility attached to them. Apart from the consistent and standard advice of don’t drink, don’t smoke and don’t put on too

much weight there’s very little trustworthy information on nutrition for conception, pregnancy, and early motherhood. Written by a nutritionist specializing in pre-and postnatal nutritional care, Deliciously Healthy Pregnancy is the thoroughly researched and myth-busting antidote to a grey area that

has previously been regarded as taboo. Readers can go on a journey to explore: - The entire pregnancy cycle - fertility, conception, pregnancy, postnatal - showing how good nutrition can have a positive impact on each phase, and preparing the mind and body for pregnancy and birth.- An expert insigh

t into the key nutrients, minerals, and vitamins that enable a healthy pregnancy- Includes over 80 recipes to be enjoyed by parents and families, focusing specifically on nutrition for pregnant mothers- Recipes have been thoroughly researched by a qualified nutritionist specializing in pre and postn

atal health, breaking down the science for the reader and enabling them to trust the source of the advice. The book is split into two halves with the first half exploring the stages of pregnancy and being a new mum. Starting with a section on living well for life and pregnancy, the book offers an in

troduction to the impact the food we eat has on our health throughout life before offering tailored nutritional and lifestyle advice to nurture women and babies in pregnancy. Addressing the changes in your diet from positive pregnancy test, to the fourth trimester, the book offers an approachable in

sight to the science behind the advice for eating well for you and your baby, and practical ideas for how to manage a variety of pregnancy symptoms. Following on from the theory, the second half is packed with over 80 flavor-filled recipes split into mealtimes with suggestions for tailoring specific

ally for different needs over the course of the pregnancy. Whilst accepting there’s no ＂right way＂ for everyone, Recipes can be customized to suit your personal situation: either to target a particular condition or symptom, or to cater for your dietary needs and choices, including vegetarian, vegan,

gluten- and dairy-free. A must-have pregnancy cookbook for couples looking to conceive - this book is useful for both mothers and fathers alike! So whether you’re seeking to explore all the stages of pregnancy, birth and weaning, or you’re looking for a self-purchase or gift for friend/relative/par

tner who is looking to conceive, pregnant or already has a young baby - whilst accepting there’s no ＂right way＂ for everyone, Rhiannon’s practice is based on the latest scientific research and backed up with practical advice, tips, and recipes.

Put on weight進入發燒排行的影片

帶有記憶層級的長短記憶神經網路

為了解決Put on weight的問題，作者楊旻戰 這樣論述：

循環神經網路(Recurrent neural network)是人工智慧神經網路領域中處理時序相關的資料常見的一種模型，但此模型有著權重(Weights)梯度爆炸或梯度消失問題，為此加入「閥」(Gate)這個機制去決定資料的保留與刪除的長短期記憶模型(Long short-term memory)可以有效的去解決這個問題。長短期記憶模型(Long short-term memory)利用閥的機制，有效的抑制權重指數爆炸或梯度消失問題，在LSTM模型內部的組件我們可以大致觀察到它將資訊分成長期記憶(C)及短期記憶(H)，在此架構下，容易造成因為資料集的特性而使LSTM模型之效能有所差異，為此

我們加入 Layered Memory(M)，期望使輸入資料能有更細微的保留與傳遞。本論文使用Python與Tensorflow，建構基於長短期記憶模型(Long short-term memory)加入層式記憶之模擬模型，再以此探討此機制對於模型之效益，在延伸討論此機制在模型內部之連接方式能有效應用細分過後的資料並加以利用，同時與現行的長短期記憶模型進行結果比較。

If Mama Ain’t Happy: Why Minding Your Own Boundaries Is Good for the Whole Family

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為了解決Put on weight的問題，作者Norman, Rachel 這樣論述：

Are you weary? Stressed? Depressed, anxious, and annoyed? And, to top it all off, do you feel guilty for feeling bad? Rachel Norman gets you, mama. She knows how much you love your kids. And how, day after day, you put your family’s needs first, which means your own needs come last. Or don’t come at

all.Rachel used to be a mom who spent her days weary, anxious, and guilt laden. She had five kids in five years, lived on three different continents, and then was blindsided by a devastating health diagnosis. Neglecting her own physical, spiritual, mental, and emotional needs for so long--in an eff

ort to be a selfless mother--had left her utterly depleted. And physically unwell. Then she began asking a question she’d never considered before: Could it be that taking good care of myself is not actually selfish, but maybe, just maybe, something a responsible adult does? In this countercultural b

ook, Rachel takes some weight off your shoulders byoffering hands-on, rubber-meets-the-road strategies to cultivate a life you aren’t trying to constantly escapeteaching you to discover and claim your own limits and boundaries so you can be a calm, resilient, peaceful mothershowing you how to shape

your daily life and values around the few things that really matter, and how to let the rest goIf mama ain’t happy, ain’t nobody happy. But when mama is at peace? Everyone benefits.

積層列印之鞋底緩衝模組的設計與分析

為了解決Put on weight的問題，作者邱俊維 這樣論述：

隨著人口逐漸邁向高齡化社會，越來越多中高齡人口會遇到膝關節退化問題抑或是腳力逐漸衰退的問題，嚴重一點甚至會罹患膝關節炎，因此本研究透過力學分析，設計一款利用3D積層列印原理所打造具有緩衝儲能特性之鞋底模組，預期令中高齡人口能在一定程度上獲得較舒緩的感受，甚至是減緩疼痛等效果。本研究之緩衝模組因採用3D列印的製程，可以在相對短的時間內進行快速打樣評估，並且透過結構改良，使緩衝模組本身具有一定程度的非線性特性，使踩踏初期可減少衝擊力，並在下壓後期透過模組的變形獲得較多的儲能，使得跨出下一步更加輕鬆、省力。本研究使用有限元素分析法進行模擬分析，透過桁架結構的參數調整，以求得極佳之儲能且不致損毀之鞋

底模組。模擬結果顯示，本研究設計出的緩衝模組，具備良好緩衝性能(初始剛性為120 N/mm)，可儲存58%之步行落差位能。