In this case synonym的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列問答集和資訊懶人包

In this case synonym的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Linkov, Igor/ Trump, Benjamin D.寫的 The Science and Practice of Resilience 和Meltzer, Peter E.的 The Thinker’s Thesaurus: Sophisticated Alternatives to Common Words都 可以從中找到所需的評價。

另外網站“Affect” or “Effect”: Use the Correct Word Every Time也說明:There is one trick to help you use the right word in almost every case: the word RAVEN: ... Some synonyms of effect include words like result, repercussion, ...

這兩本書分別來自 和所出版 。

國立臺北科技大學 應用英文系 洪媽益所指導 陳以聖的 瘋狂亞洲富豪小說字頻表和字彙涵蓋量之語料庫分析 (2021),提出In this case synonym關鍵因素是什麼,來自於詞頻表、字彙涵蓋量、語料庫分析。

而第二篇論文國立臺灣師範大學 英語學系 詹曉蕙、齊莉莎所指導 理克的 語言、大腦與時間的相遇:漢語的觀點 (2021),提出因為有 漢語、構詞句法學、時間觀念、時貌、神經語言學、事件相關電位、類型神經語言學的重點而找出了 In this case synonym的解答。

最後網站Another word for CASE > Synonyms & Antonyms則補充:Synonyms. briefcase · cigarette case · letter case · gun case · wallet · container · cardcase · quiver · luggage · writing desk · compact · portfolio ...

接下來讓我們看這些論文和書籍都說些什麼吧:

除了In this case synonym,大家也想知道這些:

The Science and Practice of Resilience

為了解決In this case synonym的問題,作者Linkov, Igor/ Trump, Benjamin D. 這樣論述:

This book offers a comprehensive view on resilience based upon state-of-the-science theories and methodological applications that resilience may fill. Specifically, this text provides a compendium of knowledge on the theory, methods, and practice of resilience across a variety of country and case co

ntexts, and demonstrates how a resilience-based approach can help further improved infrastructure, vibrant societies, and sustainable environments and ecologies, among many others.Resilience is a term with thousands of years of history. Only recently has resilience been applied to the management of

complex interconnected systems, yet its impact as a governing philosophy and an engineering practice has been pronounced. Colloquially, resilience has been used as a synonym for 'bouncing back'. Philosophically and methodologically, however, it is much more. In a world defined by interconnected and

interdependent systems such as water, food, energy, transportation, and the internet, a sudden and unexpected disruption to one critical system can lead to significant challenges for many others. The Science and Practice of Resilience is beneficial for those seeking to gain a rich knowledge of the r

esilience world, as well as for practitioners looking for methods and tools by which resilience may be applied in real-world contexts. Dr. Igor Linkov is the Risk and Decision Science Focus Area Lead with the US Army Engineer Research and Development Center, and Adjunct Professor with Carnegie Mel

lon University. Dr. Linkov has managed multiple risk and resilience assessments and management projects in many application domains, including cybersecurity, transportation, supply chain, homeland security and defense, and critical infrastructure. He was part of several Interagency Committees and Wo

rking Groups tasked with developing resilience metrics and resilience management approaches, including the US Army Corps of Engineers Resilience Roadmap. Dr. Linkov has organized more than thirty national and international conferences and continuing education workshops, including NATO workshops on C

yber Resilience in Estonia (2018) and Finland (2019), as well as Chaired Program Committee for 2015 and 2019 World Congresses on Risk in Singapore and Cape Town. He has published widely on environmental policy, environmental modeling, and risk analysis, including twenty books and over 350 peer-revie

wed papers and book chapters in top journals, like Nature, Nature Nanotechnology, Nature Climate Change, among others. He has served on many review and advisory panels for DOD, DHS, FDA, EPA, NSF, EU and other US and international agencies. Dr. Linkov is Society for Risk Analysis Fellow and recipien

t of 2005 Chauncey Starr Award for exceptional contribution to Risk Analysis as well as 2014 Outstanding Practitioner Award. He is Elected Fellow with the American Association for the Advancement of Science (AAAS). Dr. Linkov has a B.S. and M.Sc. in Physics and Mathematics (Polytechnic Institute) an

d a Ph.D. in Environmental, Occupational and Radiation Health (University of Pittsburgh). He completed his postdoctoral training in Risk Assessment at Harvard University. Dr. Benjamin D. Trump is an ORISE Postdoctoral Fellow for the US Army Corps of Engineers and a Postdoctoral Research Fellow at th

e University of Lisbon, Portugal. He has also held a postdoctoral appointment at the University of Maryland, and as a research intern at the Institute of Occupational Medicine in Singapore. Dr. Trump’s work focuses on decision making and governance of activities under significant uncertainty, such a

s emerging and enabling technologies (synthetic biology, nanotechnology) and developing organizational, infrastructural, social, and informational resilience against systemic threats to complex interconnected systems. Dr. Trump served as a delegate to assist US presence in OECD’s Global Science Foru

m in 2017, and is the President of the Society for Risk Analysis’ Decision Analysis and Risk Specialty Group in 2018-2019. His work has been featured in over 50 peer-reviewed publications, journal articles, and book chapters, including publications in Nature, Nature Nanotechnology, EMBO Reports, Env

ironmental Science & Technology, Health Policy, and Regulation and Governance, among others. Dr. Trump was also an author of the International Risk Governance Council’s Guidelines for the Governance of Systemic Risks, as well as their 2nd Volume of the Resource Guide on Resilience. Dr. Trump is als

o frequently active with several Advanced Research Workshops for the North Atlantic Treaty Organization’s Science for Peace Programme, including his role as a Director of a workshop titled Cybersecurity and Resilience for the Arctic. Dr. Trump received his PhD from the University of Michigan’s Schoo

l of Public Health, Department of Health Management and Policy in 2016. He received a M.S. (2012) in Public Policy and Management and a B.S. in Political Science (2011) from Carnegie Mellon University.

瘋狂亞洲富豪小說字頻表和字彙涵蓋量之語料庫分析

為了解決In this case synonym的問題,作者陳以聖 這樣論述:

本研究旨在運用語料庫軟體Antconc和AntWordProfiler來分析小說《瘋狂亞洲富豪》的字頻表和字彙涵蓋量。研究中使用了幾個語料庫,包括《瘋狂亞洲富豪》的電子文本,全民英檢字表(GEPT)、新通用常見字表(NGSL)、新學術詞匯列表(NAWL)和BNC(英國國家語料庫)/COCA(當代美國英語語料庫)的字表,進行數據分析和比較。本研究中調查了四個研究問題。(1) 小說《瘋狂亞洲富豪》的高頻字彙有哪些?(2) GEPT中級和中高級的字表在小說《瘋狂亞洲富豪》的字彙涵蓋量是多少?(3) 小說《瘋狂亞洲富豪》中哪些字彙至少在整本小說中重複出現了12次?它們是否也是LTTC頒布的GEPT中

級和中高級字表中的常用單字?(4)探討兩套不同的字表,即NGSL和NAWL,BNC/COCA字表,分別在《瘋狂亞洲富豪》的字彙涵蓋量是多少?主要研究結果簡述如下。首先,小說《瘋狂亞洲富豪》的前100個字彙的分布是32%的實詞,62%的虛詞和6%的縮略詞。第二,GEPT中級字表只提供了小說《瘋狂亞洲富豪》6%的字彙涵蓋量(94%未在字表中找到),GEPT中高級字表在目標小說中提供了9.1%的涵蓋量(90.9%未在字表中找到)。第三,有1217個字彙在小說《瘋狂亞洲富豪》中至少重複出現了12次。在《瘋狂亞洲富豪》中至少出現12次的字表和GEPT中級字表之間有114個重疊字(字彙涵蓋量:9.4%),

與GEPT中高級字表之間有76個重疊字(字彙涵蓋量:6.2%)。本研究中相當低的字彙涵蓋量表明,這本小說對中級(B1)和中高級(B2)英語學習者來說算是困難。最後,2801個NGSL詞和補充字表對整個目標小說的字彙涵蓋量達到了82.97%。至於《瘋狂亞洲富豪》中BNC/COCA列表的字彙涵蓋量,在5000至6000個詞族中能夠達到95%的涵蓋量,而在10000個詞族以上時,涵蓋量達到98%。如果英語學習者想要理解這本目標小說,他們的字彙量至少應該達到BNC/COCA所列表的5000-6000個詞族左右,才能有足夠的理解力,而超過10000個詞族才能有理想的理解力。針對研究結果,透過五個以教學為

導向的觀點,進行了相關討論。分別是(一)《瘋狂亞洲富豪》適合高階以上的英語學習者。(二)英語虛詞習得的重要性。(三)背誦GEPT字表對真實英語習得的限制。(四)專有名詞在英語教學中的重要性,以及(五)基於語料庫的閱讀材料分析對英語教學的價值。此外,對未來語料庫應用於課堂情境和數據驅動的學習方面,亦提供了教學上的暗示。最後,則是陳述本研究的局限性,和對未來研究提出建議。

The Thinker’s Thesaurus: Sophisticated Alternatives to Common Words

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為了解決In this case synonym的問題,作者Meltzer, Peter E. 這樣論述:

This entertaining and informative reference features sophisticated and surprising alternatives to common words together with no-fail guides to usage. Avoiding traditional thesauruses' mundane synonym choices, Peter E. Meltzer puts each word--whether it's protrepic, apostrophize, iracund, or emulous-

-in context by using examples from a broad range of contemporary books, periodicals, and newspapers. His new introduction makes the case for why we should widen our vocabulary and use the one right word. This groundbreaking thesaurus remains a unique venture, one that enriches your writing while hel

ping you find the perfect word.

語言、大腦與時間的相遇:漢語的觀點

為了解決In this case synonym的問題,作者理克 這樣論述:

時間被視為人類認知中至關重要的概念,時間標記則因語言而異。不過,大腦處理時間標記仍然不清楚。現今絕大多數的相關研究皆是針對印歐語系語言中的「時態」(tense)標記。本論文將要探討漢語中的「了」及「過」兩個「時貌」(grammatical aspect)標記和過去時間的關係,以及大腦如何處理「了」及「過」之時間標記。首先,本論文針對漢語中存在已久的「了」及「過」是否具有「時態」成分之辯論提供反證,並且主張「了」及「過」被用於表示過去時間是因為其時貌特徵。本論文將兩者時貌特徵與表示過去時間的關係分析成對應到不同語法的意義、功能:「了」對應到「時間先後關係」的認知功能,而「過」對應到「時間定位」

的認知功能。接著,本論文透過三個採用事件相關電位(event-related potential,稱ERP)技術的實驗測試/探討以上的分析。相關結果顯現了兩種質變上不同的效果進而支持上述分析:「了」在時間標記上的大腦處理誘發前腦及早期之負極性波幅(early frontal negativity),而「過」則是誘發晚期之正極性波幅(P600),此外,「了」及「過」在時間標記上的大腦處理方式與「了」及「過」在時貌上(非時間上)不同。最後,為使以上兩種大腦處理方式有廣義的且跨語言的功能解釋,本論文將漢語的時貌標記在時間上的大腦處理與印歐語系的時態標記在時間上的大腦處理方式做相互對比:前腦及早期之負

極性波幅(early frontal negativity)被視為反映「時間先後關係」的認知功能,晚期之正極性波幅(P600) 被視為反映「時間定位」的認知功能。總而言之,本論文採用以上分析及證據提供大腦如何處理時間標記之類型神經語言學模式。