Drop SHIFT的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

The Permanent Weight Loss Plan: A 10-Step Approach to Ending Yo-Yo Dieting

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為了解決Drop SHIFT的問題，作者Asher, Janice,Rivera, Jae 這樣論述：

We lost 170 pounds and kept it off It's not a diet, but you will lose weight with this proven path to developing better eating habits and building a healthy relationship with food. Diets come and go, and the scale needle swings as you drop pounds and then gain them back. But what if there were a we

ight loss solution for forever? Not another fad diet based on deprivation and restriction, but a holistic system for shedding pounds and maintaining your weight? In The Permanent Weight Loss Plan, Janice Asher, MD, and Fulbright Open Research Fellow, Jae Rivera, reveal (from their own first-hand ex

periences) that it's not just about the food you eat or don't eat--it's about a mindset and lifestyle change. After collectively losing 170 pounds and maintaining their weight for years, Janice and Jae share scientific evidence, personal experiences, and practical insights on how you can successfull

y reframe your relationship with food. It's about stopping the shame associated with body size, recognizing instances of disordered eating, equipping yourself with the knowledge of what behaviors contribute to lasting weight loss, and making use of proven strategies. Get actionable tips on how to:

Overcome barriers like stress, shame, and emotional eatingEscape the comfort food circle of hellEat food that nourishes your intestinal microbiome and brainReplace unhealthy habits with new ones that will treat your body wellBoost your metabolism by eating during the right times of the dayCommit to

an exercise regime you can enjoyTransform your kitchen from danger zone to a safe spaceSurvive potential landmines like holidays and partiesDevelop strategies for not gaining back the weight you loseStop the cycle of fat-shaming and treat yourself with kindness Complete with 26 recipes for cauliflow

er quinoa puttanesca, "umami bomb" roasted portabella mushrooms, blueberry breakfast smoothie, curried lentil salad, and more, The Permanent Weight Loss Plan encourages readers, with gentle humor and compassion, to embrace a paradigm shift and transform their lives for good. Janice Asher, MD is a

board-certified obstetrician/gynecologist at the University of Pennsylvania, where she served as the Director of Women’s Health at the Student Health Service (1989-2018) and also began the MILE (mindful, intuitive living & eating) program. She has counseled over one hundred patients on how to lose w

eight and keep the weight off for good. She lives in Philadelphia, Pennsylvania. Jae Rivera is a PhD student in Bioarchaeology at the University of Florida, where she is currently a National Science Foundation Graduate Research Fellow and National Academies of the Sciences, Engineering and Medicine

Ford Predoctoral Fellow. She is the recipient of a Fulbright Open Research Fellowship to Peru. Jae Rivera is her pen name.

Drop SHIFT進入發燒排行的影片

應用於物件偵測與關鍵字辨識之強健記憶體內運算設計

為了解決Drop SHIFT的問題，作者江宇翔 這樣論述：

近年來，由於不同的應用都能夠藉由和深度學習的結合而達到更好的結果，像是物件偵測、自然語言處理以及圖像辨識，深度學習在終端設備上的發展越來越廣泛。為了應付深度學習模型的龐大資料搬移量，記憶體內運算的技術也在近年來蓬勃發展，不同於傳統的范紐曼架構，記憶體內運算使用類比域的計算使儲存設備也同樣具備運算的能力。儘管記憶體內運算具有降低資料搬移量的優點，比起純數位的設計，在類比域進行計算容易受到非理想效應的影響，包括元件本身或是周邊電路的誤差，這會造成模型災難性的失敗。此篇論文在兩種不同的應用領域針對記憶體內運算進行強健的模型設計及硬體實現。在電阻式記憶體內運算的物件偵測應用當中，我們將重點放在改善模

型對於非理想效應的容忍度。首先，為了降低元件誤差的影響，我們將原本的二值化權重網路改變為三值化權重網路以提高電阻式記憶體中高阻態元件的數量，同時能夠直接使用正權重及負權重位元線上的電流值進行比較而不使用參考位元線作為基準。其次，為了避免使用高精度的正規化偏差值以及所導致的大量低阻態元件佈署，我們選擇將網路中的批次正規化層移除。最後，我們將運算從分次的電流累加運算改為一次性的運算，這能夠將電路中非線性的影響降到最低同時避免使用類比域的累加器。相較於之前的模型會受到這些非理想效應的嚴重影響導致模型無法運作，我們在考慮完整的元件特性誤差，周邊電路誤差以及硬體限制之下，於IVS 3cls中做測試，能夠

將平均精確度下降控制在7.06\%，在重新訓練模型後能更進一步將平均精確度下降的值降低到3.85\%。在靜態隨機存取記憶體內運算的關鍵字辨識應用當中，雖然非理想效應的影響相對較小，但是仍然需要針對周邊電路的誤差進行偏壓佈署補償，在經過補償及微調訓練後，在Google Speech Command Dataset上能夠將準確率下降控制在1.07\%。另外，由於語音訊號會因為不同使用者的資料而有大量的差異，我們提出了在終端設備上進行模型的個人化訓練以提高模型在小部分使用者的準確率，在終端設備的模型訓練需要考量到硬體精度的問題，我們針對這些問題進行誤差縮放和小梯度累積以達到和理想的模型訓練相當的結果

。在後佈局模擬的結果中，這個設計在推論方面相較於現有的成果能夠有更高的能源效率，達到68TOPS/W，同時也因為模型個人化的功能而有更廣泛的應用。

Models Do Eat: More Than 100 Recipes for Eating Your Way to a Beautiful, Healthy You

為了解決Drop SHIFT的問題，作者De Jong, Jill/ Sharp, Nikki (CON)/ Oakes, Summer Rayne (CON)/ Gr 這樣論述：

Getting fit and the body you want doesn't mean giving up delicious food."Fit" and "healthy" have become some of the most popular tags on social media, it's sexy to take excellent care of our bodies and minds That's why Jill de Jong, fitness model and personal trainer who provided the real-life body

for video game adventure icon Lara Croft, along with nine of her fellow models have come together to share their food philosophies, expertise, and favorite recipes--their secrets to feeling healthy and looking great.Models Do Eat is more than a simple cookbook--it invites you to think critically abo

ut nutrition and make better choices for yourself. If you've tried to drop some pounds by depriving yourself of food, you know how miserable and harmful it can be. This team of inspiring women is dedicated to help you make the healthiest possible choices for your body. These models love to eat and t

hey eat a lot. With approaches from paleo and gluten-free eating to vegetarianism and veganism, and everything in-between, Models Do Eat is proof that there's not just one "correct" way to eat well and feel beautiful.Inside discover more than 100 delicious, healthful recipes that promote energy, glo

wing skin, shiny hair, and weight loss, including Mediterranean Breakfast Cups, Gluten-Free Endless Energy Matcha Muffins, Wholesome Mushroom Tacos, Coconut Basil Sweet Potato Fries, Bison Stew and Bone Broth, Charred Cauliflower with Peppers & Egg, Raw Vegan Cheesecake Bars, and more. These meals w

ill jumpstart your own unique path to looking and feeling like your best self.In addition to their recipe recommendations, you'll get personal stories and insights from: Taylor Walker Sinning (Under Armour model with a Master's in physical education)Courtney James (certified health coach and the fac

e of Aerie and American Eagle)Lauren Williams (Personal trainer & fitness model for Nike, Athleta, Target, and Women's Health)Colleen Baxter (functional medicine practitioner who's walked for Oscar de la Renta and posed for Vogue)Adela Capova (integrative nutritionist featured in Elle, Harper's Baza

ar, and GQ)Liana Werner-Gray (Miss Earth Australia and bestselling author of The Earth Diet and 10-Minute Recipes)Summer Rayne Oakes (certified holistic nutritionist featured in the elite Pirelli Calendar)Nikki Sharp (naturopath, raw foods expert, and frequent face on Access Hollywood and Extra TV)

Sarah DeAnna (bestselling author of Supermodel You)Anyone can eat like a model and reap the benefits, inside and out. Models Do Eat shows you how. Jill de Jong was born in Holland, and her successful modeling career brought her to the US. She was based in New York for many years, explored Miami fo

r a few years, and then fell in love with Los Angeles, where she currently resides; a great place to pursue her passion for health and wellness. She made the career shift from full-time modeling to health coach, personal trainer, and chef, and has never looked back. When Jill is not working, you can

find her in the kitchen cooking or outside in Malibu running, biking, surfing, or stretching in a yoga class. She recharges by spending time with her boyfriend and friends. Meaningful conversations and delicious food make her heart sing. To stay motiviated to exercise, she signs up for triathlons a

nd Spartan races.

自組裝超分子聚合物輔助二維奈米材料的可擴展液相剝離和分散

為了解決Drop SHIFT的問題，作者Ashenafi Zeleke Melaku 這樣論述：

近期，二維 (2D) 奈米材料在許多應用領域中展現出十足的潛力，如石墨烯、過渡金屬二硫屬化物 (TMDCs)、六方氮化硼 (h-BN) 等，已應用於各種光電元件、傳感器、電容器、太陽能電池等方面。此等材料雖只有單顆或數顆原子之厚，卻擁有在塊材型態不具備的優越特性，使其在未來廣泛的科技研究中展現出色前景。然而，材料性能固然出色，工業級大量生產高質量的二維奈米材料卻非易事，而液相脫層程序正是合適的因應之道，透過界面活性劑與溶劑的搭配，可以簡單、環保的方式有效地大規模產生薄層二維材料。在本文研究中，我們分別在石墨與二硫化鉬(MoS2)兩系統中加入超分子聚合物作為界面活性劑，經由超音波震盪的處理，將

兩材料由三維(3D)大型分子轉為二維形式並大量生產。在研究的第一部分，利用添加腺嘌呤功能化的生物可降解低聚物(3A-PCL)，將塊狀結晶的石墨脫層為具導電性、良好物理特性且高度有序結構的石墨烯奈米片，經檢驗後可證明，因3A-PCL對石墨表面具有高親和性，可於其表面自行組裝為層狀奈米結構，在有機溶劑裡脫層並形成穩定懸浮的石墨烯奈米片。而在移除溶劑後，此複合材料在黏性與彈性狀態間顯示出持久的熱可逆相變行為，並可透過調整複合材料內的聚合物比例，進而調控脫層石墨烯的厚度。此石墨烯複合材料最大的特色在於電阻率低，測得之數值為1.5 ± 0.7 mΩ·cm，比原始石墨烯低一個數量級以上。綜合第一實驗系統的

研究，選用液相脫層程序製備多功能超分子與石墨的奈米複合材料，因其生產過程簡單，製成之材料具有良好的物理特性與導電性，適合在導電元件領域發展應用。本研究的第二部分，我們以鄰二氯苯(ODCB)為溶劑，腺嘌呤功能化聚丙二醇(A-PPG)為界面活性劑，設計一種能將石墨脫層為厚度可控之高質量石墨烯的實驗系統。首先我們先在溶劑ODCB中，把天然石墨剝離為數層有序的脫層石墨(EG)奈米片，此視為一次脫層；而在二次脫層中，在EG溶液中加入A-PPG，此時具氫鍵官能基的腺嘌呤發揮關鍵作用，使A-PPG能在石墨烯奈米片表面自行組裝為長而有序的奈米結構，進而增加EG在ODCB中的長期分散穩定性，且透過調整複合材料中

A-PPG的含量，可製備出具特定結構特徵的石墨烯奈米片。此以超分子聚合物作非共價官能化的石墨烯表現非凡，經由簡單、有效的一次及二次脫層，可自由調控石墨烯的所需厚度，在各項潛在應用中發揮作用。最後一實驗系統，則是以水為溶劑，胞嘧啶功能化聚丙二醇(Cy-PPG)為界面活性劑，搭配二次脫層程序，將MoS2剝離為超薄層的奈米片。首先，利用水相環境將原始的MoS2初步分散為數層的奈米片，接著於二次脫層期間加入Cy-PPG，與數層MoS2的水溶液進行一小時以上的超音波震盪，此過程中，自組裝為有序層狀奈米結構的Cy-PPG會因強物理作用力而吸附在奈米片的表面，並形成可調節的超薄層MoS2，而透過仔細調整Cy

-PPG的用量，可以大幅改善MoS2在水溶液的長期穩定分散性，從而保持其固有的特性，最後利用光譜及顯微鏡分析脫層奈米片的形貌與物理性質，證明MoS2奈米片表面確實有Cy-PPG的存在，而在導電率測試中，測得之數值則較原始MoS2高出127 µS/cm。綜觀以上，此實驗系統能夠有效以環保方法生產超薄層MoS2奈米片，對於講求材料精準的研究領域至關重要。