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紫藤心解【三合四化】基礎篇．下冊

為了解決UTC的問題，作者李樵 這樣論述：

　　本書敘論三合與飛星斗數「星性、格局」之基礎論述，與『飛星論斷』技法、熊崎氏姓名學、南北半球排盤法則。

UTC進入發燒排行的影片

以雙馬來醯亞胺和5,5-雙甲基巴比妥酸共聚合用於鋰離子電池之高性能、高安全性富鎳陰極材料介面改質添加劑研究

為了解決UTC的問題，作者葉南宏 這樣論述：

本研究開發出一種可在電池混漿過程中混入電極的寡聚物電極添加劑，並在第四章的探討中發現，以5,5 DMBTA/ BMI於130℃進行-NH麥可加成反應聚合而成的寡聚物作為電極添加劑對於鋰離子電池的循環壽命、放熱與產氣表現有最為正面的幫助。第五章的探討中，以5,5 DMBTA/ BMI於130℃進行-NH麥可加成反應聚合而成的寡聚物作為電極添加劑，摻入高能量密度的鋰離子電池富鎳陰極材料（Ni-rich NMC622）電極中，觀察到添加劑在充放電過程中成功受Ni2+ / Ni3+催化進行自身聚合成功能型導離子的CEI界面。此CEI介面在同步輻射臨場升溫軟吸收實驗、臨場電化學X光繞射分析實驗以及高溫

熱處理後的HR-TEM結果中，被觀察到在電化學與熱化學作用下能減少NMC622材料中的Ni2+陽離子錯排問題、與電解液交互用作用的產氣現象以及材料顆粒內的微裂痕情形（Micro crack），讓製作成商用圓柱形（18650）全電池的循環性能表現獲得維持同時也讓電池的放熱情況獲得控制。第六章進一步對不同鎳含量的三元材料NMC811與NMC111進行修飾，藉由同步輻射臨場軟吸收光譜分析結果，可以觀察到電池富鎳陰極材料（Ni-rich NMC811）中的Ni離子事實上以3d7 與3d8L兩種電子組態存在。其中3d8L的電子組態為極不穩定，為了使系統趨於穩定，Ni-rich NMC cathode有三

種方式或途徑: 1.與電解液反應 2.與環境反應3.扭曲自身晶體結構以使得電子組態達到穩定。電極添加劑於漿料製備時與較高反應性的鎳離子（表面電子組態3d8L）交互作用並自身催化形成CEI（Cathode electrolyte interface）後提高材料的陽離子錯排狀態（Cation mixing state），並持續貢獻-C=C-成為Ligand-hole的提供者，穩定在電化學/熱化學過程中，因材料不斷脫鋰或提高氧化態形成的氧空缺進而形成的3d8L，提升材料的電子組態穩定，並避免電化學過程的副反應或扭曲自身的層狀結構造成巨觀的相變化。

Prognostics and Remaining Useful Life (Rul) Estimation: Predicting with Confidence

為了解決UTC的問題，作者Galar, Diego,Goebel, Kai,Sandborn, Peter 這樣論述：

Dr. Diego Galar is Full Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology where he is coordinating several H2020 projects related to different aspects of cyber physical systems, Industry 4.0, IoT or Industrial AI and Big

Data. He was also involved in the SKF UTC centre located in Lulea focused on SMART bearings and also actively involved in national projects with the Swedish industry or funded by Swedish national agencies like Vinnova. He is also principal researcher in Tecnalia (Spain), heading the Maintenance and

Reliability research group within the Division of Industry and Transport.He has authored more than five hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journa

ls and conferences and actively participating in national and international committees for standardization and R&D in the topics of reliability and maintenance. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA)

and the Universidad Pontificia Católica de Chile. Currently, he is visiting professor in University of Sunderland (UK), University of Maryland (USA), and Chongqing University in China.Dr. Kai Goebel is a Principal Scientist in the System Sciences Lab at Palo Alto Research Center (PARC). His interest

is broadly in condition-based maintenance and systems health management for a broad spectrum of cyber-physical systems in the transportation, energy, aerospace, defense, and manufacturing sectors. Prior to joining PARC, Dr. Goebel worked at NASA Ames Research Center and General Electric Corporate R

esearch & Development center. At NASA, he was a branch chief leading the Discovery and Systems Health tech area which included groups for machine learning, quantum computing, physics modeling, and diagnostics & prognostics. He founded and directed the Prognostics Center of Excellence which advanced

our understanding of the fundamental aspects of prognostics. He holds 18 patents and has published more than 350 papers, including a book on Prognostics. Dr. Goebel was an adjunct professor at Rensselaer Polytechnic Institute and is now adjunct professor at Lulea Technical University. He is a co-fou

nder of the Prognostics and Health Management Society, and associate editor of the International Journal of PHM.Peter Sandborn is a Professor in the CALCE Electronic Products and Systems Center and the Director of the Maryland Technology Enterprise Institute at the University of Maryland. Dr. Sandbo

rn’s group develops life-cycle cost models and business case support for long field life systems. This work includes: obsolescence forecasting algorithms, strategic design refresh planning, lifetime buy quantity optimization, return on investment models for maintenance planning and system health man

agement, and outcome-based contract design and optimization. Dr. Sandborn is the developer of the MOCA refresh planning tool. Dr. Sandborn is an Associate Editor of the IEEE Transactions on Electronics Packaging Manufacturing and a member of the Board of Directors of the PHM Society. He is the autho

r of over 200 technical publications and several books on electronic packaging and electronic systems cost analysis. He was the winner of the 2004 SOLE Proceedings, the 2006 Eugene L. Grant, the 2017 ASME Kos Ishii-Toshiba, and the 2018 Jacques S. Gansler awards. He has a B.S. degree in engineering

physics from the University of Colorado, Boulder, in 1982, and the M.S. degree in electrical science and Ph.D. degree in electrical engineering, both from the University of Michigan, Ann Arbor, in 1983 and 1987, respectively. He is a Fellow of the IEEE, the ASME and the PHM Society.Dr. Uday Kumar is

the Chair Professor of Operation and Maintenance Engineering, Director of Research and Innovation (Sustainable Transport) at Luleå University of Technology and Director of Luleå Railway Research Center. His teaching, research & consulting interests are equipment maintenance, reliability and maintai

nability analysis, product support, Life Cycle Costing(LCC), Risk analysis, system analysis, eMaintenance, asset management etc. He is visiting faculty at the Center of Intelligent Maintenance System(IMS)- a centre sponsored by National Science Foundation, Cincinnati, USA since 2011, External examin

er and Program Reviewer for Reliability and Asset Management Program of The University of Manchester, Distinguished visiting Professor at Tsinghua University Beijing, Honorary Professor at Beijing Jiaotong University, Beijing, etc. Earlier he has been visiting faculty at Imperial College London, Hel

sinki University of Technology, Helsinki, Univ of Stavanger, Norway, etc. He has more than 30 years of experiences in consulting and finding solutions to industrial problems directly or indirectly related to maintenance of engineering asserts. He has published more than 300 papers in International J

ournals and Conference Proceedings dealing with various aspects of maintenance of engineering systems, and has co-authored 4 books on Maintenance Engineering and contributed to World Encyclopaedia on Risk Management. He is an elected member of Royal Swedish Academy of Engineering Sciences.

了解滿意度對評論意圖之影響—以評論動機、從眾效應與購物價值作為干擾變數

為了解決UTC的問題，作者許芳維 這樣論述：

韓國專業市調公司 Trend-Monitor 研究指出線上評論即為其中一項提供消費者購物參考的指標，尤其是女性在購物前將會閱讀評論，以便做出正確的決策。因此本研究想了解滿意度對於評論意圖的關係，以及進一步了解評論動機、從眾效應與購物價值對其關係的影響。本研究以便利抽樣的方式，針對在進行購物或體驗前會上網搜尋產品/服務資訊並使用社群媒體的人，以線上發放問卷的方式蒐集資料，共收回516份有效問卷，以信度分析及因素分析了解研究的整體信度及相關性，並透過GLM驗證其研究假說。根據研究結果發現評論動機、從眾效應與購物價值在滿意度與評論意圖之間皆具有顯著影響，此外，本研究發現從眾效應在滿意度與評論意圖之

間存在調節效果，最後依研究結果給予企業對線上評論經營的建議與未來相關議題的研究方向。