Expense的問題，透過圖書和論文來找解法和答案更準確安心。 我們找到下列包括價格和評價等資訊懶人包

Samuel, Kings, Chronicles, Ezra-Nehemiah: Volume 2

為了解決Expense的問題，作者 這樣論述：

This volume brings together disparate views about biblical texts in the books of Samuel, Chronicles and Ezra-Nehemiah and examines their influence in the life of contemporary communities, demonstrating how today’s environments and disorders help readers to acquire new insights into such texts. The c

ontributing scholars hail from different continents - from East Asia to the United States to Europe to South Africa and Israel - and count themselves as members of various Jewish and Christian traditions or secularist ways of life. But, in spite of their differences in location and community members

hip, and perhaps in the spirit of the times (2020 and its global discontents), they share preoccupations with questions of ethics in politics and life, ’proper’ death, violence and social exclusion or inclusion. This volume offers readers a better understanding of how politics and faith can be melde

d, both in ancient and contemporary contexts, to serve the interests of certain classes and societies, often at the expense of others. Athalya Brenner-Idan is Professor Emerita of HB/OT at the University of Amsterdam, The Netherlands and Professor in Biblical Studies at Tel Aviv University, Israel

. Gale A. Yee is Nancy W. King Professor Emerita of Biblical Studies at the Episcopal Divinity School, USA.

Expense進入發燒排行的影片

非監督式神經學習網路用於識別創傷性腦損傷動物

為了解決Expense的問題，作者林明臻 這樣論述：

本文提出一套非監督式學習分群演算法應用於腦傷老鼠之識別系統，以擷取老鼠的路徑軌跡資訊之行為特徵並透過非監督式神經學習網路來識別創傷性腦損傷(Traumatic Brain Injury, TBI)老鼠與正常老鼠。文中，首先透過一套自動追蹤八臂迷宮軌跡系統，來收集老鼠的路徑軌跡，並經由八臂數據管理系統取得量化特徵參數，擷取如實驗老鼠於八臂迷宮軌跡系統最終所花費的總長期記憶錯誤、總短期記憶錯誤以及總花費時間等。其次使用結合懲罰模糊C-均值(Penalized Fuzzy C-Means , PFCM)及霍普(Hopfield)神經網路之分群技術來識別TBI老鼠與正常老鼠。經實驗結果顯示，本識別系

統具有高的正確辨識率(正確率: 86.5%)，最後再建構圖形使用者介面(Graphical User Interface, GUI)，藉此以提供專業醫療人員友善與判別腦傷老鼠之運用。

Atonement and Ethics in 1 John: A Peacemaking Hermeneutic

為了解決Expense的問題，作者Armitage, Christopher 這樣論述：

Christopher Armitage considers previous theological perception of 1 John as a text advocating that God abhors violence, contrasted with biblical scholarship analysis that focuses upon the text’s birth from hostile theological conflict between ’insiders’ and ’outsiders’, with immensely hostile rhetor

ic directed towards ’antichrists’ and those who have left the community. Armitage argues that a peace-oriented reading of 1 John is still viable, but questions if the commandment that the community loves each other is intended to include their opponents, and whether the text can be of hermeneutic us

e to advocate non-violence and love of one’s neighbour. This book examines five key words from 1 John, hilasmos, sfazo, anthropoktonos, agape and adelphos, looking at their background and use in the Old Testament in both Hebrew and the LXX, arguing that these central themes presuppose a God whose

engagement with the world is not assuaging divine anger, nor ferocious defence of truth at the expense of love, but rather peace and avoidance of hatred that inevitably leads to violence and death. Armitage concludes that a peacemaking hermeneutic is not only viable, but integral to reading the epis

tle. Chris Armitage is adjunct sessional lecturer in NT at St Mark’s National Theological Centre, Canberra, and a member of the New Testament and Early Christianity Seminar at Macquarie University, Australia.

應用貝葉斯網路模型與特徵篩選於電子產業財務危機預測

為了解決Expense的問題，作者吳伯穎 這樣論述：

財務危機預測為實證金融中相當重視的議題。本文透過合成少數類過採樣技術平衡數據，將危機公司的少數數據過採樣，平衡數據以利預測能有公允的展現；貝葉斯加性回歸樹和特徵遞迴刪除法篩選特徵變數，節省模型的運算效能，簡化模型的架構；此外，通過J48決策樹的準確度度量，評估不同篩選器之間的預測性能；使用貝葉斯因果網路，建構並視覺化財務比率的因果模型，闡述財務比率與危機發生的因果關係。本文以西元2010到2021年間為研究期間，從245項財務比率中，找出電子產業發生財務危機的因素，特別是特徵變數與財務危機之間的因果關係。實證結果表示，在特徵變數中，其中如出售投資-CFI、利息支出率(B)、現金流量比率是為破

產時的主要原因，可視為領先指標。當公司出售投資-CFI過高，且現金流量比率過低或是利息支出率過高時，其發生危機的可能性便相當高。