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Essential Judge Dredd: Dredd vs. Death, 4

為了解決City vector的問題，作者Wagner, John,Grant, Alan 這樣論述：

John Wagner John Wagner has been scripting for 2000 AD for more years than he cares to remember. His creations include Judge Dredd, Strontium Dog, Ace Trucking, Al’s Baby, Button Man and Mean Machine. Outside of 2000 AD his credits include Star Wars, Lobo, The Punisher and the critically acclaimed A

History of Violence.Alan GrantWith over 300 2000 AD stories to his name - not to mention over 250 Daily Star Judge Dredd strips - Alan Grant’s prolific creative record speaks for itself. Outside the Galaxy’s Greatest Comic, Grant is well-known to Batman fans following a lengthy run on various incar

nations of the title. More recently he has adapted Robert Louis Stevenson’s classic novels Kidnapped and Doctor Jekyll and Mr Hyde in Graphic Novel format with artist Cam Kennedy. Brian BollandPerhaps the most popular 2000 AD artist of all time, Brian Bolland’s clean-line style and meticulous attent

ion to detail ensure that his artwork on strips including Dan Dare, Future Shocks, Judge Dredd and Walter the Wobot looks as fresh today as it did when first published. Co-creator of both Judge Anderson and The Kleggs, Bolland’s highly detailed style unfortunately precluded him from doing many seque

ntial strips -- although he found the time to pencil both Camelot 3000 and Batman: The Killing Joke for DC Comics. Brett EwinsSince his Future Shock debut in Prog 37, Brett Ewins has been one of the Galaxy’s Greatest Comic’s most beloved artists. Co-creator of the classic Bad Company, Ewins also co

ntributed to A.B.C. Warriors, Daily Star Dredd, Judge Anderson, Judge Dredd, Kelly, Mega-City One, Rogue Trooper, Ro-Jaws, Robo-Tales and Universal Soldier. Beyond 2000 AD, Ewins was a co-founding editor of Deadline magazine, and co-pencilled and inked the hugely acclaimed Skreemer series, which he

co-created with writer Peter Milligan. He also created Johnny Nemo, which now enjoyed great success in Cyberosia Publishing’s new US edition. He died in 2015. Cliff RobinsonCliff Robinson is one of 2000 AD’s longest-serving artists, having made his debut with a Future Shock way back in Prog 362! Sin

ce then, he has co-created Mother Earth, and illustrated numerous Judge Dredd strips, as well as Future Shocks, Judge Anderson and Venus Bluegenes.Robin SmithAside from his own co-created Bad City Blue, Robin Smith has illustrated Future Shocks, Judge Dredd, Mean Machine, Rogue Trooper, Strontium Do

g, Tharg the Mighty and Time Twisters. He is also the illustrator of Paradox Press’s Green Candles, and is co-creator of The Bogie Man with John Wagner and Alan Grant. Alex RonaldAlex Ronald has contributed to Judge Dredd, Missionary Man, Rogue Trooper, Sinister Dexter and Vector 13. He has also wor

ked for the Caliber Comics’ anthology Negative Burn, IDW’s Rot & Ruin, and illustrated covers for Titan’s Doctor Who line of comics. Pat MillsPat Mills is the creator and first editor of 2000 AD and co-creator of ABC Warriors, Finn, Flesh, Nemesis the Warlock and Slaine. In the US, Pat is best know

n for Marshal Law, the cult character he co-created with artist Kevin O’Neill. Bryan TalbotBryan Talbot is one of the UK’s most respected comics artists. He has contributed to Future Shocks, Judge Dredd, Nemesis the Warlock, Ro-Busters and Sláine in the Galaxy’s Greatest Comic, and most recently wro

te and illustrated asilent One-Off. Beyond 2000 AD, Talbot is renowned for his body of graphic novel work, which includes The Adventures of Luther Arkwright, Heart of Empire, The Tale of One Bad Rat and Alice in Sunderland.Andy ClarkeAndy Clarke make his 2000 AD debut on Sinister Dexter and quickly

gained in popularity thanks to his highly detailed and realistic artwork. He proceeded to illustrate Judge Dredd, Nikolai Dante, Rose O’ Rion, Pulp Sci-Fi and his first co-created series, punk psychic thriller Thirteen. The success of the latter saw Clarke teamed with Andy Diggle on Snow/Tiger and w

ith Robbie Morrison on Shimura.Beyond 2000 AD, he has had great success at DC Comics, working on Aquaman, Detective Comics, R.E.B.E.L.S., Batman Confidential and Batman and Robin.

City vector進入發燒排行的影片

低腔壓高濃度過氧化氫混合式火箭引擎之研究

為了解決City vector的問題，作者林育宏 這樣論述：

本論文為混合式火箭系統入軌段火箭引擎的前期研究，除了高引擎效率的要求外，更需要精準的推力控制與降低入軌段火箭的結構重量比，以增加入軌精度與酬載能力。混合式火箭引擎具相對安全、綠色環保、可推力控制、管路簡單、低成本等優點，並且可以輕易地達到引擎深度節流推力控制，對於僅能單次使用、需要精準進入軌道的入軌段火箭推進系統有相當大的應用潛力。其最大的優點是燃料在常溫下為固態、易保存且安全，即使燃燒室或儲存槽受損，固態的燃料也不會因此產生劇烈的燃燒而導致爆炸。雖然混合式推進系統有不少優於固態及液態推進系統的特性，相較事先預混燃料與氧化劑的固態推進系統及可精準控制氧燃比而達到高度燃燒效率的液態推進系統，混

合式推進系統有擴散焰邊界層燃燒特性，此因素導致混合式推進系統的燃料燃燒速率普遍偏低，使得設計大推力引擎設計時需要長度較長的燃燒室來提供足夠的燃料燃燒表面積，也導致得更高長徑比的火箭設計。針對此問題，本論文利用渦漩注入氧化劑的方式，增加了氧化劑在引擎內部的滯留時間，並藉由渦旋流場提升氧化劑與燃料的混合效率以及燃料耗蝕率；同時降低引擎燃燒室工作壓力以研究其推進效能，並與較高工作壓力進行比較。本論文使用氮氣加壓供流系統驅動90%高濃度過氧化氫 (high-test peroxide) 進入觸媒床，並使用三氧化二鋁 (Al2O3) 為載體的三氧化二錳 (Mn2O3) 觸媒進行催化分解，隨後以渦漩注入的

方式注入燃燒腔，並與燃料聚丙烯（polypropylene, PP）進行燃燒，最後經由石墨鐘形噴嘴 (bell-shaped nozzle) 噴出燃燒腔後產生推力。實驗部分首先透過深度節流測試先針對原版腔壓40 barA引擎在低腔壓下的氧燃比 (O/F ratio)、特徵速度 (C*)、比衝值 (Isp) 等引擎性能進行研究，提供後續設計20 barA低腔壓引擎的依據，並整理出觸媒床等壓損以及燃燒室等流速的引擎設計轉換模型；同時使用CFD模擬驗證渦漩注射器於氧化劑全流量下 (425 g/s) 的壓損與等壓損轉換模型預測的數值接近 (~1.3 bar)。由腔壓20 barA 引擎的8秒hot-f

ire實驗結果顯示，由於推力係數 (CF) 在低腔壓引擎的理論值 (~1.4) 相較於腔壓40 barA引擎的推力係數理論值 (~1.5) 較低，因此腔壓20 barA引擎的海平面Isp相較於腔壓40 barA引擎的Isp 低了約13 s，但是兩組引擎具有相近的Isp效率 (~94%)，且長時間的24秒hot-fire測試顯示Isp效率會因長時間燃燒而提升至97%。此外，氧化劑流量皆線性正比於推力與腔壓，判定係數 (R2) 也高於99%，實現混合式火箭引擎推力控制的優異性能。透過燃料耗蝕率與氧通量之關係式可知，低腔壓引擎在相同氧化劑通量下 (100 kg/m2s) 較腔壓40 barA引擎降低

了約15%的燃料耗蝕率，因此引擎的燃料耗蝕率會受到腔體壓力轉換的影響而變動，本論文也針對此現象歸納出一校正方法以預測不同腔壓下的燃料耗蝕率，此校正後的關係式可提供未來不同腔壓引擎燃料長度設計上的準則。最後將雙氧水貯存瓶的上游氮氣加壓壓力從約58 barA降低至38 barA並進行8秒hot-fire測試，結果顯示仍能得到與過往測試相當接近的Isp效率 (~94%)，而此特性除了能讓雙氧水及氮氣貯存瓶擁有輕量化設計的可能性，搭配具流量控制的控制閥也有利於未來箭體朝向blowdown type型式的設計，因此雙氧水加壓桶槽上的氮氣調壓閥 (N2 pressure regulator valve)

將可省去，得以降低供流系統的重量，並增加箭體的酬載能力，對於未來箭體輕量化將是一大優勢。

Optimization, Variational Analysis and Applications: Ifsovaa-2020, Varanasi, India, February 2-4

為了解決City vector的問題，作者 這樣論述：

VIVEK LAHA is Assistant Professor at the Department of Mathematics, Institute of Science, Banaras Hindu University (BHU), Varanasi, India, since June 2016. He completed his Ph.D. and M.Sc. from BHU in 2014 and 2009, respectively. His research interests lie in the fields of multiobjective optimizatio

n, vector variational inequalities, generalized convexity, nonsmooth analysis, mathematical programs with vanishing constraints, semi-infinite optimization, robust optimization, etc. He has published research articles in several international journals of repute and co-authored two book chapters publ

ished by Springer Nature. He has presented his research work in international events at various universities, including Future University Hakodate, Hakodate, Japan; National Taiwan University of Science and Technology (Taiwan Tech), Taipei, Taiwan; Vietnam Institute for Advanced Study in Mathematics

(VIASM), Hanoi, Vietnam; Banaras Hindu University, India; University of Delhi, India; Indian Statistical Institute, Delhi; and Indian Statistical Institute, Chennai. He has received the NBHM Postdoctoral Fellowship, CSIR-UGC Senior and Junior Research Fellowships, CSIR Foreign Travel Grant, DST-Pur

se Foreign Travel Grant, SERB Travel Grant and many more. He is the principal investigator of a project sponsored by the UGC Start-up Grant and is also one of the members of the Working Group on Generalized Convexity and International Society on Multiple Criteria Decision Making. PIERRE MARECHAL is

Professor of Mathematics at Université Paul Sabatier, Toulouse, France. He received his Ph.D. in 1997, master’s degree in 1993, and engineering diploma in 1991 form the University of Toulouse, France. Since 1997, he has worked in different positions at the University of Toulouse, France; Simon Frase

r University, Vancouver, Canada; and the University of Montpellier, France. His research interests include inverse problems, optimization, convex analysis, calculus of variations, conditional number optimization, and condition number optimization. He has supervised eight Ph.D. students till date and

worked in the committee of many scholars. He has delivered invited talks at many international conferences and universities from time to time and organized a number of international conferences and workshops. He has published considerable research articles in international journals of repute.S. K.

MISHRA is Professor at the Department of Mathematics, Institute of Science, Banaras Hindu University (BHU), India. He completed his Ph.D. in Mathematics from BHU in 1995. With a teaching experience of over 22 years, he has guided 18 Ph.D. students so far. He has published several research articles i

n journals of repute and authored a number of books with renowned publishers. He is the associate editor, managing editor or guest editor of international journals of repute and has organized several national and international conferences/seminars in India and abroad.Professor Mishra is a member of

several professional bodies, including the International Society on Multiple Criteria Decision Making; the Working Group of Generalized Convexity; Pacific Optimization Research Activity Group; and Indian Mathematical Society. He has visited several universities for his academic and research activiti

es, including the Fields Institute for Research in Mathematical Science, Toronto, Canada; Paul Sabatier University, Toulouse, France; Chang Gung University, Taipei, Taiwan; the University of Lorraine, Metz, France; the Muroran Institute of Technology, Japan; Yuan Ze University, Tapipei, Taiwan; the

City University of Hong Kong, Hong Kong; University Paul Verlaine, Metz, France; International University, Ho Chi Minh City, Vietnam; University Paul Verlaine, Metz, France; the Institute of Mathematics, Chinese University of Hong Kong, Hong Kong; the Muroran Institute of Technology, Hokkaido, Japan

; Kuwait University, Kuwait; the Chinese Academy of Sciences, Beijing; and the National University of Singapore.

考量內生性生產要素與非意欲產出問題下探討CSR活動對銀行業經濟效率之影響

為了解決City vector的問題，作者邱義晃 這樣論述：

隨著經濟成長與環境變遷，企業經營開始注重環境、社會和公司治理(ESG)，本文針對這個議題，探討企業社會責任投入對銀行業經濟效率之影響，CSR資料取自EIRIS之2003-2014年32個國家287家銀行，要素投入與產出數據取自Bureau Van Dijk公司之ORBIS Bank Focus全球銀行與金融分析資料庫，利用隨機邊界方法考慮生產要素內生性與非意欲產出，同時探討技術與配置效率議題。採用Amsler, Prokhorov and Schmidt (2016)工具變數法解決要素內生性問題，確保迴歸係數估計值具備一致性，實證結果顯示總成本無效率主要來自配置無效率，而非技術無效率，此發現

與銀行業常進行組織結構改造，重新調整人力、資本與資金等以改善配置無效率相呼應一致。進一步將技術和總無效率與環境變數連結，包括(1)前五大銀行市占率、(2) 銀行成立年數、(3)CSR員工項目分數、(4)資產報酬率、(5)淨值資產比、(6) CSR公司治理分數、(7)銀行資產/GDP比、(8)人均GDP等8個環境變數，其中前三項主要影響技術無效率因素，結果發現環境變數確實影響銀行經營效率，擬定執行經營策略納入考慮有其重要性。並將研究資料依年份期間與洲別分類，發現2007-2009年次貸風暴期間銀行經營效率最低，但三個期間的差異未達統計顯著；洲別分類以亞洲銀行經營效率最低，檢定發現歐洲與美洲銀行經

營效率顯著高於亞洲銀行，研判與亞洲銀行種族文化、經濟環境與規模差異較大有關。文中比較不考慮(1)內生性、(2) CSR與(3)非意欲產出對經營效率之影響，發現造成技術無效率與配置無效率誤置，導致銀行經營者執行錯誤的經營策略方向，反而造成資源更多的浪費，評估銀行經營效率的影響因素必須充份完整，不得不慎。