Shortcoming的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列免費下載的地點或者是各式教學

Women’’s Health in Autoimmune Diseases

為了解決Shortcoming的問題，作者 這樣論述：

This book focuses on conveying autoimmune disease expertise to gynecologists and other clinicians, allowing them to approach the treatment of each disease in a pragmatic manner. Each chapter reviews the current literature on treatments for autoimmune diseases, especially under special circumstances

like pregnancy; rating disease severity; and providing practical guidelines based on the current state of knowledge. How autoimmune diseases affect fertility, and how to best prepare patients with these diseases for pregnancy, is also addressed.Unfortunately the current literature does not provide e

ffective guidelines. This book addresses that shortcoming, and will help clinicians to implement appropriate treatments, while also outlining possible alternatives in order to provide effective treatment for women living with autoimmune diseases. It also explores important issues concerning autoimmu

ne diseases in women such as: lupus nephritis, vasculitis, Sjogren's syndrome, anti phospholipid syndrome and systemic sclerosis, and their potential effects on unborn children. Given its scope, the book offers a valuable reference guide for Practicing Clinicians, Rheumatologists and Gynecologists,

among others. Dr Shefali K Sharma is an Additional Professor of Internal Medicine at the Postgraduate Institute of Medical Education and Research (PGIMER), Chandigarh, India. She has over 14 years of experience as a member of faculty at the All India Institute of Medical Sciences, New Delhi and at

PGIMER, Chandigarh. She has over 50 peer-reviewed, internationally indexed publications to her credit, and has received various prestigious awards for her work in the field of Rheumatology. These include the Best Paper Award at APLAR (Chennai, 2015), a Young Scientists International Fellowship from

the Indian Council of Medical Research (2014), which led to a mentorship underProfessor Christopher Denton (Royal Free Hospital, London), Indian Rheumatology Association Research Grant (2013), and a Japanese College of Rheumatology International Scholarship (Tokyo, 2011).

Shortcoming進入發燒排行的影片

鋰離子電池之循環式逐步應力衰變試驗的設計與分析

為了解決Shortcoming的問題，作者陳信諺 這樣論述：

可進行重複充放電的鋰離子電池 (rechargeable lithium-ion batteries) 是可攜式電子產品中做為電源供應之不可或缺的角色。然而，鋰離子電池為高可靠度產品，意謂其衰變速度極為緩慢，因此如何精確推估鋰離子電池之壽命，對製造商而言是個十分重要的研究課題。過去針對高可靠度產品多是以固定應力加速衰變試驗進行分析，惟此方法的實驗成本通常相當昂貴。為彌補此缺點，本研究採用循環式逐步應力衰變試驗來收集鋰離子電池實驗資料，並以常用的逐步應力衰變模型 (如SS_ADT以及TSS_ATRP的模型) 為基礎，提出SS_ATRP模型來針對循環式逐步應力衰變試驗的資料進行分析，並使用最大概

似估計法 (maximum likelihood estimation) 求出模型中的參數估計值以及預測正常使用狀況下之電池壽命EOP (end of performance)，配合有母數拔靴法 (parametric bootstrap) 計算其95% 信賴區間。最後則使用此實驗資料來推估鋰離子電池的平均失效壽命 (mean time to failure) 以及提出本研究的發展性。

Narrativity, Coherence and Literariness: A Theoretical Approach with Analyses of Laclos, Kafka and Toussaint

為了解決Shortcoming的問題，作者Wagner, Eva Sabine 這樣論述：

The search for the defining qualities of narrative has produced an expansive range of definitions which, largely unconnected with each other, obscure the notion of "narrativity" rather than clarifying it.The first part of this study remedies this shortcoming by developing a graded macro model of nar

rativity which serves three aims. Firstly, it provides a structured overview of the field of narrative elements and processes. Secondly, it facilitates the classification of narratological approaches by locating them on different stages of narrativity. Finally, it focuses attention on narrative dyna

mics as interpretative processes by which readers seek to produce narrative coherence.The second part of this study identifies three different narrative dynamics which characterise Laclos's "Dangerous Connections," Kafka's "Castle" and Toussaint's novels. Wagner bases her analyses of these dynamics

not only on the texts themselves but also on the ways in which literary scholars imbue the texts with narrative coherence.This book provides a long overdue systematisation of the jumbled field of theories of narrativity and opens new perspectives on the difficult relationship between narrative theor

y and interpretation. Eva Sabine Wagner, Universität Osnabrück, Germany.

G2LGAN: 對不平衡資料集進行資料擴增應用於晶圓圖缺陷分類

為了解決Shortcoming的問題，作者王承暘 這樣論述：

半導體的製造需要經過多個複雜的化學程序，任一環節的錯誤皆會使生產的 晶圓產生缺陷，因此 晶圓缺陷分類是半導體產業 維持並 提升良率的關鍵任務 。 然 而，目前的晶圓缺陷分類仍然由工程師透過人力進行分類，因此本論文透過神經 網路在圖像分類上的優異表現來自動化分類晶圓圖缺陷。 由於半導體製程的進步 使得具有缺陷的晶圓圖難以收集。為了解決資料集不平衡與資料不足的問題，本 論文提出了一個數據擴增方法與隨機欠採樣 能夠有效的平衡資料集。在晶圓圖分 類網路的部份 本文 使用輕量型的網路架構，除了能夠減少計算資源提高模型效率 之外還能夠消除資料集所造成的過擬合 (Overfitting)的問題。本論文提出

的資料 擴增是基於 生成對抗網路 (Generative Adversarial Network, GAN)，所提出的 方法 G2LGAN(Global to Local GAN)能夠優先學習資料集的全 局特徵 再學習個別類別的局部特徵， 即使在資料集不平衡的情況下也能夠有效 生 成各個類別的資料以 解決資料不足的問題。分類網路則是基於 MobileNetV2，根 據實驗結果發現在晶圓缺陷分類任務上，與高維度的特徵相比，低維度的特徵較 為重要 ，根據此結果來設計分類網路達到縮小模型並維持高準確度。本文使用 WM-811K資料集 進行驗證。由於該資料集具有嚴重的數據不平衡 問題。本文集成了 資料

增強與隨機欠採樣的方法來優化資料集，並使用所提出的 分類網路進行分類任務。 實驗結果顯示，所提出的 G2LGAN能夠提升模型準確 度約 9.15%。 所提出的晶圓分類網路與現有的研究相比，在模型的參數量上節省 了 58%，並且在準確度上有 1.39%與 F1-Score上有 12.35%的領先。