Erudition的問題，透過圖書和論文來找解法和答案更準確安心。 我們挖掘到下列精選懶人包

Nachoem M. Wijnberg

為了解決Erudition的問題，作者Wijnberg, Nachoem M. 這樣論述：

A new translation of work by one of the Netherland’s most innovative, exhilarating poets, a poet who draws on everything from economics to parables to world history.The Dutch poet Nachoem M. Wijnberg is one of the most inventive, surprising, entertaining, and thought-provoking poets writing today

. He is also remarkably productive, so that up to now only a small portion of his extensive body of work has appeared in English translation. This new selection of poems draws on all twenty volumes Wijnberg has published to date, constituting an indispensable introduction to this wry, off-kilter, sp

ellbinding modern master. Wijnberg, not only a poet but a professor of business studies--hence his persistent concern with questions of value, real and false--writes only in the plainest language while displaying a formidable erudition. His poems engage economics, philosophy, and history; he writes

Chinese poems and Jewish poems and classic songs; he tells stories that may or may not be parables; he writes from where the mind meets the heart. ＂Tell all the truth but tell it slant,＂ Emily Dickinson enjoins. Wijnberg for his part has said, ＂Alienation is the last thing I am trying to achieve. Th

e world is strange enough as it is and my poems help in dealing with that strangeness by bringing it close and as far as possible trying to understand it.＂

Erudition進入發燒排行的影片

張舜徽《說文解字約注》析形釋義研究

為了解決Erudition的問題，作者林詩敏 這樣論述：

張舜徽，二十世紀著名的國學大師。治學領域橫跨經、史、子，集各類，學術成就非凡。在治學態度上，張氏多方採納且汲取，他汲取了前輩學者治學的種種成就與優點，更加以實踐於自身的治學、著作之中。其中，張氏更傾盡四十多年之心力，著成《說文解字約注》一書。此書融合了張氏諸多的治學面向，例如：在文字的析形釋義上，張氏藉由其深厚的文獻學底蘊，梳理《說文解字》各版本的異同，提出銳利的評價。這種對於校勘、版本的一套自身思想，從而使《約注》具有諸多歷史文獻的識見。又例如：在文字的說解方面，張氏具脈絡的梳理前人各家之說，並提出自身看法。時而對他說提出質疑、反駁、贊同，又或是補充。這種「旁徵博引，自造新注」的著書風格，

亦展現出他講求「博、通」的治學主張。 這些紮實的功夫底蘊，以及嚴謹的治學態度，都促使《約注》的析形釋義有諸多獨到之處。本文藉由分析此書在析形釋義上的體例、方式、特色等，從而理解張氏的觀點與字意涵。此外，張氏相當重視於文字的語原關係，本文亦對此加以分析、著墨。對語原關係的重視，既展現出他對於文字發展的理解與關懷，且呈現出他認為形聲字「聲中有義」的觀點。透過張氏對於形聲字及省聲字的看法，或許能為歷來諸家褒貶不一的省聲字，找到一個適切的位置與評價。

The Invisible Kingdom: Reimagining Chronic Illness

為了解決Erudition的問題，作者Meghan O’Rourke 這樣論述：

　　A landmark exploration of one of the most consequential and mysterious issues of our time: the rise of chronic illness and autoimmune diseases   　　A silent epidemic of chronic illnesses afflicts tens of millions of Americans: these are diseases that are poorly understood, frequently marginalize

d, and can go undiagnosed and unrecognized altogether. Renowned writer Meghan O’Rourke delivers a revelatory investigation into this elusive category of “invisible” illness that encompasses autoimmune diseases, post-treatment Lyme disease syndrome, and now long COVIDynthesizing the personal and the

universal to help all of us through this new frontier.   　　Drawing on her own medical experiences as well as a decade of interviews with doctors, patients, researchers, and public health experts, O’Rourke traces the history of Western definitions of illness, and reveals how inherited ideas of cause,

diagnosis, and treatment have led us to ignore a host of hard-to-understand medical conditions, ones that resist easy description or simple cures. And as America faces this health crisis of extraordinary proportions, the populations most likely to be neglected by our institutions include women, the

working class, and people of color.   　　Blending lyricism and erudition, candor and empathy, O’Rourke brings together her deep and disparate talents and roles as critic, journalist, poet, teacher, and patient, synthesizing the personal and universal into one monumental project arguing for a seismic

shift in our approach to disease. The Invisible Kingdom offers hope for the sick, solace and insight for their loved ones, and a radical new understanding of our bodies and our health.

比特幣與真實世界的連動

為了解決Erudition的問題，作者劉千毓 這樣論述：

本研究致力於探討比特幣（Bitcoin）與真實世界中的連動性，並以全球股價指數中具有代表性的16個股價指數進行分析，研究發現，比特幣在VIX > 35的期間，與股價指數標普500、那斯達克指數、阿根廷指數（MERVAL）、日經225（Nikkei 225）指數與台灣加權指數（TSEC weighted index）有高度的相關性，相關係數皆高於0.85以上。因此進一步以線性回歸與支持向量回歸進行數值的預測，發現比特幣在VIX > 35的期間，線性回歸（Linear Regression Model）與支持向量回歸（Support Vector Regression）的預測表現，優於VIX ≤

35的期間的預測表現。因此本研究認為比特幣在VIX > 35的期間，應更關注於全球股市的表現所帶給比特幣的衝擊。另一方面，在VIX ≤ 35的期間，比特幣與真實世界的連動性相對較小，因此本研究以比特幣一小時的開高低收資料，計算出技術指標，並以10種機器學習分類器方法，進行比特幣漲跌的預測，經過10次的交叉驗證，最好的預測分類器為Gradient Boosting與AdaBoost，平均的預測率為0.75。因此，本研究將比特幣的買賣決策分為普通時期（VIX ≤ 35）與恐慌時期（VIX > 35）。當普通時期，買賣比特幣的策略可使用比特幣的資料來進行漲跌的預測；當恐慌時期，則可使用股市指數的價

格資料，進行比特幣的價格預測。