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Sixty-One: Life Lessons from Papa, on and Off the Court

為了解決Pardon的問題，作者Paul, Chris 這樣論述：

Chris Paul is a ten-time NBA All-Star and two-time Olympic Gold medalist. The Winston-Salem native currently plays with the Phoenix Suns and previously played with the Oklahoma City Thunder, Houston Rockets, Los Angeles Clippers, and New Orleans Hornets. Off the court, he’s a father, husband, entrep

reneur, activist, and philanthropist. He has served as the President of the National Basketball Players Association since 2013. He is the founder of Ohh Dip!!! Productions, part owner of the Winston-Salem Dash, and co-founder of Go Hoop Day. His Chris Paul Family Foundation has given back to local c

ommunities since 2005. Michael Wilbon is an award-winning journalist and co-host of ESPN’s Pardon the Interruption. He has reported on sports for over thirty years, and worked with Charles Barkley on his books I May Be Wrong But I Doubt It and Who’s Afraid of a Large Black Man?, both New York Times

bestsellers. He lives in Bethesda, Maryland.

Pardon進入發燒排行的影片

數學形態學導出多參數持續同調之層狀結構

為了解決Pardon的問題，作者胡全燊 這樣論述：

Topological Data Analysis (TDA), a fast-growing research topic in applied topology, uses techniques in algebraic topology to capture features from data. Its importance has been discovered in many areas, such as medical image processing, molecular biology, machine learning, and pattern recognition.

Persistent homology (PH) is vital in topological data analysis that detects local changes in filtered topological spaces. It measures the robustness and significance of homological objects in spaces' deformation, such as connected components, loops, or higher dimensional voids. In Morse theory, filt

ered spaces for persistent homology usually rely on a single parameter, such as the sublevel set filtration of height functions. Recently, as a generalization of persistent homology, computational topologists began to be interested in multi-parameter persistent homology. Multi-parameter persistent h

omology (or multi-parameter persistence) is an algebraic structure established on a multi-parametrized network of topological spaces and has more fruitful geometric information than persistent homology. So far, finding methods to extract features in multi-parameter persistence is still an open and

concentrating topic in TDA. Also, examples of multi-parameter filtration are still rare and limited. The three principal contributions of this dissertation are as follows. First, we combined persistent homology features (persistence statistics and persistence curves) and machine learning models for

analyzing medical images. We found that adding topological information into machine learning models can improve recognition accuracy and stability. Second, unlike traditional construction for multi-parameter filtrations in Euclidean spaces, we propose a framework for constructing multi-parameter fi

ltrations from digital images through mathematical morphology and discrete geometry. Multi-parameter persistence derived from mathematical morphology is more efficient for computing and contains intuitive geometric attributes of objects, such as the sizes or robustness of local objects in digital im

ages. We involve these features to remove the salt and pepper noise in digital images as an application. Compared with current denoise algorithms, the proposed approach has a more stable accuracy and keeps the topological structures of original data. The third part of this dissertation focuses on us

ing sheaf theory to analyze the lifespans of objects in multi-parameter persistence. The multi-parameter persistence has a natural sheaf structure by equipping the Alexandrov topology on the based partially ordered set. This sheaf structure uncovers the gluing properties of local image regions in th

e multi-parameter filtration. We referred to these properties as a fingerprint of the filtration and applied them for the character recognition task. Finally, we propose using sheaf operators to define ultrametric norms on local spaces in multi-parameter persistence. Like persistence barcodes, this

metric provides finer geometric and topological quantities.

Tokyo Rose: Zero Hour (a Graphic Novel): A Japanese-American Woman’’s Persecution Following World War II and Her Ultimate Redemp

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為了解決Pardon的問題，作者Frattino, Andre R. 這樣論述：

Traitor or hero? Discover the truth behind the legendary Tokyo Rose.Tokyo Rose: Zero Hour tells the true story of Iva Toguri, a Japanese-American woman who was visiting her relatives in Tokyo shortly before the attack on Pearl Harbor--and became caught up in an unlikely chain of events that made her

infamous. She ended up at odds with everyone--her family, her country, Japan, even herself! But was she really guilty? Trapped in Japan, Iva was refused to renounce her American citizenship. As war raged across the Pacific, she took a job with Radio Tokyo where she was forced to host Zero Hour, aim

ed at demoralizing American troops, in the role of Tokyo Rose, The Siren of the Pacific. The dramatic events recounted in this story include: Iva’s arrest after the Japanese surrender, which ultimately led to a determination that her actions were harmless.Her emotional return to the United States an

d the public outcry that led to her re-arrest and prosecution for treason.The corrupt actions of prosecutors who coerced witnesses into providing incriminating evidence against Iva.The six years she spent in prison, never admitting guilt, and her eventual pardon by President Gerald Ford in 1977.Writ

ten by Andre Frattino and illustrated by Kate Kasenow, Tokyo Rose: Zero Hour has an introduction explaining the Tokyo Rose phenomenon and the devastating effects of World War II on Asian-American communities that continue to reverberate. In a world rife with misinformation and racial prejudice, the

story of Tokyo Rose has never been more relevant. Andre R. Frattino has devoted nearly his life to the art of visual storytelling. Following his graduation from the Savannah College of Art and Design, Andre published four graphic novels including The Reaper of St. George Street and A Land Remembe

red: A Graphic Novel. Kate Kasenow is a comic artist with undergraduate and graduate degrees in Sequential Art from Savannah College of Art and Design. She has worked on an array of graphic novels including An Elegy for Amelia Johnson, Amy Devlin Mystery and Form of a Question, a creative autobiog

raphy of a Jeopardy champion. Janice Chiangis an award-winning comic letterer with over four decades of experience. She began her career as a freelancer for Marvel Comics and has continued on to work for all the major comic book publishers. Presently, she heads the lettering department for John and

Sandy King Carpenter’s Storm King Comics and is a freelancer for DC Comics.

安全法和戒嚴法對分離主義分子之執法研究-泰南三府的案例

為了解決Pardon的問題，作者魏俊豪 這樣論述：

安全法和戒嚴法對分離主義分子之執法研究-泰南三府的案例的研究目的是探討泰南三府安全法與戒嚴法實施後產生之問題、泰南三府執法程序與人權之衝突、以及泰南三府分離主義勢力之發展。 研究採用了定性、文獻和案例事實研究方法。目的是從經驗上研究社會現象，或從現實案例中的現象來研究事實，以便找到現象與執法行為之間的關係。 本研究發現揭示如下：泰南三府的暴力局勢自泰國皇家軍隊發展軍隊司令部第四發展大隊在那拉提瓦府朝愛榮縣提瓦發動恐怖襲擊活動自今算得上是緊急狀態形式而且國家必要制定特殊法律在緊急情況下使用權力義務，如1914年國家戒嚴法、2005國家緊急狀態法和2008國家安全

法，為了賦予政府官員特殊權力，以盡快解決緊急狀態符合本研究關於緊急狀態下的國家權力概念與原則，適用特殊法律偵查泰南三府治安案件為逮捕、拘留、訊問和搜查的過程中非符合比例原則,因為沒有經過法院的合法性驗證而在法院審判過程中經常發生證據之來源非符合證據原則而判決駁回，導致無法根據特殊法律的動機解決問題，因為分離主義分子組織能進行暴力事件，但法律系統未能懲處。