走在汽車革命的路上論文書籍站
高雄醫學大學 護理學系碩士班 許心恬所指導 黃婷霙的 接受化學治療肺癌病人癌因性疲憊與失志之關聯： 自我慈悲為中介變項 （2021），提出2011 CLS63關鍵因素是什麼，來自於自我慈悲、癌因性疲憊、失志、肺癌、化學治療。
而第二篇論文亞洲大學 資訊工程學系 黃明祥所指導 Eko Fajar Cahyadi的 The Study on Security and Privacy in VANET （2021），提出因為有 Authentication、ITS、Security and privacy、VANET的重點而找出了 2011 CLS63的解答。
接受化學治療肺癌病人癌因性疲憊與失志之關聯： 自我慈悲為中介變項
為了解決2011 CLS63 的問題，作者黃婷霙 這樣論述：
背景：90%的接受化學治療肺癌病人有癌因性疲憊的情形，疲憊會給病人強烈的無力感，與失志存在顯著正相關；自我慈悲低者無法學會慈愛自己，容易加重疲憊的感覺，會持續陷於挫折與害怕的情感中，進而產生失志的情形。因此本研究將探討癌因性疲憊與失志間的關係，並以自我慈悲為一中介因子，瞭解自我慈悲對癌因性疲憊與失志兩者關係的影響。方法：本研究採橫斷式相關性研究設計，於南部某一醫學中心以方便取樣及結構式問卷收集接受化學治療的肺癌病人，問卷內容包含「基本資料」、「台灣版簡明疲憊量表」、「中文版失志量表」及「自我慈悲量表」。所得資料以描述性統計、獨立樣本t檢定、單因子變異數分析、相關分析、簡單線性迴歸、多元階層回
歸及sobel test等統計方法進行分析 。結果：200位接受化學治療肺癌病人完成問卷填寫，以65歲以上居多（63.42 ± 10.31歲）、54%病人患有失志、中等程度癌因性疲憊（4.75 ± 2.44分）、中等自我慈悲（3.5 ± 0.76分）。無配偶（p = .013）、低教育程度（p = .007）無收入（p = .014）則失志程度愈高;當病人疼痛（r = .47, p = .000）或呼吸困難程度越高（r = .31, p = .000），失志的情形越嚴重。肺癌病人癌因性疲憊與失志呈顯著低度正相關（r = .43, p = .000），疲憊與自我慈悲呈顯著低度負相關（r = -.
34 , p = .000），且自我慈悲與失志有著呈顯著高度負相關（r = -.81, p = .000）。將癌因性疲憊與自我慈悲一同作為失志的自變項，人口學及疾病特性為控制變項，癌因性疲憊對失志的影響改變為不顯著 （β = .05, p = .276），β值由.23下降為.05。因此，自我慈悲在癌因性疲憊與失志之間具有完全負向中介效果 （Z = 3.15, p = .002）。結論：研究結果得知低自我慈悲在疲憊的化學治療肺癌病人身上直接導致失志的發生，希望未來臨床能導入有效介入措施提升病人自我慈悲，降低疲憊肺癌病人產生失志的情形。
The Study on Security and Privacy in VANET
為了解決2011 CLS63 的問題，作者Eko Fajar Cahyadi 這樣論述：
Research related to vehicular ad hoc networks (VANET) has received some significant attention in recent years. In fact, it has been attracting many researchers since its emergence in early 2000. The capability of VANET in providing information dissemination among the vehicles will become the future
of our road transportation safety systems. VANET is loaded with intelligent transportation system (ITS) properties, that make all vehicles could communicate with each other. Despite all the advantages, the security and privacy in VANET still become the main challenge that is widely open to discussi
on. The authentication scheme plays a substantial role to guarantee the security and privacy of information circulation in VANET. In 2019, Lu et al. define the category of the authentication schemes deployed in VANET, based on its type of cryptography: symmetric cryptography-based, public key infras
tructure-based (PKI-based), ID-based cryptography (IBC), certificateless signature/certificateless aggregate signature (CLS/CLAS)-based, and group signature-based. Therefore, in this dissertation, we classify four of our proposed schemes according to those categories. By developing some new approach
es and improvements for safeguarding vehicle communications by implementing viable and light cryptographic systems, we have tried to find the best compromise in this specific area network of VANET and give them a rational judgment (strong proof).