On premise的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列股價、配息、目標價等股票新聞資訊

Cesare Zavattini’s Neo-Realism and the Afterlife of an Idea: An Intellectual Biography

為了解決On premise的問題，作者Brancaleone, David 這樣論述：

How many Zavattinis are there? During a life spanning most of the twentieth century, the screenwriter who wrote Sciuscià, Bicycle Thieves, Miracle in Milan, and Umberto D. was also a pioneering magazine publisher in 1930s Milan, a public intellectual, a theorist, a tireless campaigner for change wit

hin the film industry, a man of letters, a painter and a poet. This intellectual biography is built on the premise that in order to understand Zavattini’s idea of cinema and his legacy of ethical and political cinema (including guerrilla cinema), we must also tease out the multi-faceted strands of h

is interventions and their interplay over time. The book is for general readers, students and film historians, and anyone with an interest in cinema and its fate. David Brancaleone is Lecturer in Critical and Contextual Studies, Limerick Institute of Technology, Ireland, where he teaches history a

nd theory of art, film, photography and visual culture. An art history graduate from La Sapienza, Rome, he gained an MA in Italian Studies at University College London, UK and, in 2002, his doctorate at the Warburg Institute, University of London, UK. In 2019, he published the two-volumeZavattini, i

l Neo-realismo e il Nuovo Cinema latino-americano which reconstructs and documents Zavattini’s cultural interventions in Latin America and his specific contribution to the global dimension of Neo-realism in the latter half of the twentieth century. This publication provided the critical and contextu

al basis for the curation of a major retrospective exhibition, ’Zavattini oltre i confini’, Reggio Emilia, Italy, 2019.

On premise進入發燒排行的影片

觀光夜市攤商對行動支付持續使用意願之研究

為了解決On premise的問題，作者陳姿羽 這樣論述：

近年來，由於全球網路及科技的普及化，已經從現金或信用卡交易發展到行動支付。多元化的支付已是現今交易趨勢，行動支付儼然成為消費大眾生活中的一部分。只需透過智慧型手機，就能利用行動條碼或QR Code給予店家輕鬆付款。 在夜市攤商支援多元付費管道的前提下，將有望提升行動支付使用率，過去較少以夜市攤商使用行動支付角度切入之相關研究，故為本研究動機之一。本研究以寧夏夜市商圈中取樣已使用行動支付裝置的攤商作為研究對象，蒐集相關寧夏夜市及臺灣夜市的報章雜誌、國內外論文、網路資料，並分析整理多篇行動支付相關文獻與店家初訪資料，完成本研究的模型建構與問卷設計。利用SPSS統計軟體進行樣本分析法

來驗證各項研究假設，根據實證結果發現在「感知有用性」、「感知易用性」、「供應商特質」、「消費者意願」會影響使用意願，而「感知風險與成本」、「政府推廣」則不影響使用意願。

How the American Elites Won, Lost, and Can Win Again: From the Moon Landing to Coronavirus

為了解決On premise的問題，作者Buskirk, Christopher 這樣論述：

Between 1920 and 1950, America saw an unprecedented expansion of wealth and power underwritten by technological innovation, cultural confidence, and victory in war. American elites won World War II, rebuilt the world order with America at its head, inaugurated the jet age, and put a man on the mo

on. The boom led to a larger, richer middle class that confirmed America’s best ideals. By the early 1970s, that ended. American elites have captured a disproportionate share of the social and economic rewards over the last fifty years. Meanwhile, the middle class has shrunk in size and has become e

conomically insecure, owning a smaller share of national wealth than at any time in the nation’s history. This has happened even while most households have two income earners, versus the single-income households that characterized the period of shared prosperity. At the same time, technological inno

vation that improves people’s standard of living has dramatically slowed. These trends undermine the basic premise behind the broad acceptance of a meritocratic elite, whose rule is predicated on the belief that if the best rise to the top, their talent and energy will create a rising tide that lift

s all boats. We had that once. We can have it again.

基於影像前處理的卷積神經網路偵測ST段上升型心肌梗塞疾病

為了解決On premise的問題，作者林怡均 這樣論述：

心血管疾病一直都是國人十大死因的前幾名，其中急性冠心症(Acute Coronary Syndrome, ACS)最為致命。急性冠心症的臨床機轉為供應心臟的冠狀動脈血管產生狹窄、阻塞，使心肌無法獲得氧氣、營養，進而引起心臟壞死，其中又以ST段上升心肌梗塞(STEMI)疾病的心肌受損程度會隨著時間的增加而迅速擴大最為危急。在診斷方面，急性冠心症的主要診斷工具為心電圖，心電圖以非侵入式的方式監測、紀錄下心臟的生理活動並產生心電圖，醫生可根據心電圖去區分急性冠心症的類型，進而決定進行何種治療。現今台灣的救護車多配置生理監視器，在出勤時能針對疑似心臟疾病患者做初步的判斷，在救護途中將量測的心電圖回傳

遠端醫院的醫師進行判斷，這樣的作業模式須依賴心臟專科醫師隨時待命來完成，效率較為低落，若使用科技輔助，將能大幅減少時間成本，達到迅速判讀、準確救護的目的。近年來，由於深度學習方法迅速進展，特別是關於影像分類的CNN模型能夠出色的解決複雜的影像問題，因此被廣泛運用於醫學影像分類。然而一般訓練CNN模型需要大量的影像資料才能獲得準確的分類結果，然而一般醫院的STEMI患者的數量並不算多。本研究的目的在探討心電圖資料相對較少的前提下，分析不同的影像前處理方法對CNN為基礎的深度學習模型的表現，包含影像去背、形態學處理、影像增強等影像前處理技術優化心電圖影像，最後再透過不同的CNN模型，判斷ST段上升

型心肌梗塞患者。本研究中，我們僅使用602張圖片，分別在多個CNN模型中進行訓練、測試，包含EfficientNet、ResNet、DenseNet皆得到87%以上的準確率，證實影像前處理之重要性。