DISH的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列懶人包和總整理

Words and Music: The Adventures of an Optimist

為了解決DISH的問題，作者Rubin, Stephen 這樣論述：

From his earliest days as a culture-beat reporter, through a wildly successful four decades in the book business, to his latest philanthropic ventures, Stephen Rubin has witnessed up close the highs and lows of publishing, music, and entertainment over the last half-century. Now, in this refreshi

ngly forthright and uninhibited memoir, he shares the stories and secrets of a legendary career. Freshly graduated from New York University, Rubin parlayed what had been a music column in his college paper into a freelance writing gig, covering culture, pop and classical music, and Hollywood. This l

anded him spots in major newspapers and put him in the company of fabulous opera divas, pop singers, and other unforgettable personalities (including his future wife Cynthia, a talent manager). Here, he shares his adventures with such varied and iconic figures as Luciano Pavarotti, Judy Garland, Pie

rre Boulez, Burt Lancaster, Dimitri Shostakovich, and Gregory Peck. Rubin recounts how, after joining Bantam Books in 1984, he rose steadily through the ranks of the publishing business, taking readers behind the scenes of the publication of record-breaking bestsellers such as John Grisham’s The Fir

m and Dan Brown’s The Da Vinci Code. With an uncanny ability to right the ship of floundering houses and imprints, he stepped into roles (and on some toes) at Bantam, Doubleday, Transworld, Henry Holt, and Simon & Schuster. He spares no details or feelings as he recounts corporate missteps and p

ersonal feuds at the highest levels of the literary world. Full of riveting detail, engagingly told, and generously leavened with insider dish, this is an unparalleled look at the culture industry from the man who’s seen it all first-hand.

DISH進入發燒排行的影片

研究 Cep170 不同的分布位置以及其對神經型態發生之影響

為了解決DISH的問題，作者陳芃慈 這樣論述：

微管是神經細胞中不可缺少的結構，會參與神經細胞發育過程中的每一步驟，與微管有相互作用的蛋白質稱為微管相關蛋白 (MAP)，許多 MAP 會藉由調節微管影響神經細胞的發育。運用質譜儀定量且定序比較分化為神經細胞前後的MAP，發現 Cep170 富含於神經細胞的微管。 Cep170 為一具有 Forkhead associated (FHA) 功能域的中心體相關蛋白，位於具有絲分裂能力細胞的中心體遠端附屬物 (subdistal appendage)， Cep170 被發現和人腦發育異常相關疾病有關，例如小頭畸形和平腦症，如此證明 Cep170 在中樞神經系統的發育中有著至關重要的作用。實驗室發

現 Cep170 大量表達會促進神經纖維生長，然而由於先前抑制 Cep170 的效率較差，無法觀察到抑制 Cep170 後對於神經細胞的影響；另外還觀察到 Cep170 在神經細胞中有多種不同的定位：細胞本體中形成一個點、沿著神經纖維的點狀分布、在最長的神經纖維的尾端含量上升，但是這些不同位置在神經細胞中的作用仍然未知。在此研究中，我們成功抑制神經細胞內的 Cep170 ；此外，我們依照功能域設計不同的 Cep170 截斷行突變來破壞神經細胞中特定的 Cep170 分布。我們發現沿著神經纖維的點狀分佈需要微管結合功能域和 FHA 功能域，而 Cep170 聚集於神經纖維尾端需要 FHA 功能域

；且微管穩定性會影響 Cep170 沿著神經纖維的點狀分佈，不穩定的微管會導致 Cep170 於近端神經纖維的點狀分布消失。

The 17 Day Kickstart Diet: A Doctor’s Plan for Dropping Pounds, Toxins, and Bad Habits

為了解決DISH的問題，作者Moreno, Mike 這樣論述：

The New York Times bestselling author of the revolutionary The 17 Day Diet returns with a three-step weight loss program that promotes a plant-forward lifestyle and other accessible strategies for making healthy decisions automatically for life.Since the success of The17 Day Diet, Dr. Mike Moreno ha

d been the paragon of good health. But after a series of dramatic setbacks, including a divorce, the death of two loved ones, and a painful diagnosis, his emotional health suffered and his physical health began to deteriorate as a result. But following a drastic wake-up call, Dr. Mike got himself ba

ck on track and now, he’s revealing the easy-to-use program that helped him reclaim his health, despite his circumstances. Featuring delicious recipes, simple meal-planning techniques, manageable movement strategies, and supportive wellness rituals, The 17 Day Kickstart Diet is a clear-cut guide tha

t proves it is never too late to achieve optimal health. Even in the middle of the chaos that life can sometimes dish up, you can still prioritize your wellness with the right plan. Within seventeen days, you will start losing weight, reducing inflammation, and experiencing new levels of energy and

focus. As Dr. Moreno says, ＂I love when people pick up the tools they’ve been given and use them to create change in their lives. Now it’s your turn.＂ Designed around three crucial phases that can help reduce your toxic load while inspiring you like never before, this book can be your new playbook f

or becoming a healthier version of you. Mike Moreno, MD, better known as Dr. Mike, is a graduate of the University of California at Irvine and Hahnemann Medical School. Following his residency at Kaiser Permanente in Fontana, California, Dr. Mike moved to San Diego, where he now practices family m

edicine and serves on the board of the San Diego Chapter of the American Academy of Family Physicians. He is the author of The 17 Day Diet and The 17 Day Kickstart Diet. Visit DrMikeDiet.com.

應用於HER2乳癌標靶治療 之 DISH影像分析深度學習方法

為了解決DISH的問題，作者Muhammad Adil Khalil 這樣論述：

The amount of overexpression of the human epidermal growth factor receptor 2 (HER2) is a predictive biomarker for metastatic breast cancer that may be used to evaluate therapeutic treatments. In HER2 immunohistochemical scores 2+ equivocal cases, accurate HER2 testing is critical for determining th

e most suitable precision treatment. HER2 in situ hybridization has generally been carried out using fluorescence in situ hybridization techniques (FISH). In recent years, brightfield dual in situ hybridization (DISH) has emerged as an efficient and viable alternative approach to replace fluorescen

t in situ hybridization (FISH) in various labs, including ours. The presented deep learning based framework allows effective and precise automated detection of ERBB2 to CEN17 signals ratio and the mean HER2 copies for each nucleus in DISH images for clinical usage, consequently avoid inter-oberserv

er variability and shortening the time required for routine manual assessment. To the best of author's knowledge, this is the first study to explore the use of deep learning technology to automatically detect HER2 overexpression in HER2 DISH images acquired from clinical breast cancer samples. On tw

o datasets, we assess the efficiency of the proposed models. The results illustrate that the proposed method 1 accomplishes better performance than the baseline techniques with an accuracy of 97.11±2.39, precision of 96.92±1.45, recall of 92.49±2.04, F1-score of 94.65±3.59, and Jaccard Index of 88.

43±10.27 on dataset 1 and an accuracy of 97.80±1.05, precision of 97.48±1.07, recall of 91.80±3.84, F1-score of 94.56±3.04, and Jaccard Index of 88.39±5.16 for dataset 2. Additionally, using Fisher's LSD, the proposed method 1 outperforms the baseline approaches by a significant margin (P