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Introduction to Development Engineering: A Framework with Applications from the Field

為了解決Best portfolio的問題，作者 這樣論述：

Ashok J. Gadgil is Faculty Senior Scientist and former Director of the Energy and Environmental Technologies Division at Lawrence Berkeley National Laboratory. He is also Professor of Civil and Environmental Engineering at the University of California, Berkeley. He specializes in heat transfer, flui

d dynamics, and technology design for development. He also has substantial experience in technical, economic, and policy research on energy efficiency and its implementation - particularly in developing countries. Two of his best-known technologies for the developing-world are ＂UV Waterworks＂ (a sim

ple, effective, and inexpensive water disinfection system), and the Berkeley-Darfur Stove (a low-cost stove that saves fuelwood in internally displaced person’s camps in Darfur). In early 1990s, he analyzed the potential for large utility-sponsored projects to promote energy efficient electric light

ing in poor households in developing countries, then teamed up with others to design and demonstrate such projects. These have become commonplace in dozens of developing countries since 2000 onward, saving billions of dollars annually to their economies. Gadgil holds a Ph.D. in Physics from the Univ

ersity of California, Berkeley and an M.Sc. in Physics from Indian Institute of Technology, Kanpur.Temina Madon is Executive Director of the Center for Effective Global Action (CEGA), a research network headquartered at UC Berkeley that focuses on the design and rigorous evaluation of anti-poverty p

olicies, services, and technologies. In this role, Madon oversees the Development Impact Lab, a USAID-funded consortium of universities leveraging science and engineering to accelerate global economic development. She also spearheads multiple initiatives to build scientific capacity in developing co

untries, particularly in the areas of economics and public health. She has served as an advisor to the World Health Organization on implementation research and has consulted for the World Bank, the International Initiative for Impact Evaluation, and the Bill and Melinda Gates Foundation. Earlier, Ma

don served as founding executive director of the Center for Emerging and Neglected Diseases at UC Berkeley. From 2006 to 2008, she was the science policy analyst for the Fogarty International Center at the National Institutes of Health (NIH). Prior to this, she led a portfolio of global health initi

atives for the U.S. Senate HELP Committee (under the leadership of Senator Edward Kennedy) as a AAAS Science and Technology Policy Fellow. She received a PhD in 2004 from UC Berkeley and a BS in 1998 from MIT.Michael Callen is professor of economics and strategic management at the Rady School of Man

agement at University of California, San Diego. He uses experiments to identify ways to address accountability and service delivery failures in the public sector, working primarily in Afghanistan and in Pakistan. His primary interests are political economy, development economics, and experimental ec

onomics. Before coming to the Rady School, Callen was an Assistant Professor of Public Policy at the Harvard Kennedy School and an Assistant Professor of Political Science at the University of California, Los Angeles. As a post doc, Callen was a visiting faculty member at the University of Californi

a, Berkeley Center for Effective Global Action and the UC San Diego Institute on Global Conflict and Cooperation. Callen has received research grants from the International Growth Center (IGC), South Asia Institute, Harvard University, Department for International Development, Consortium for Financi

al Systems and Poverty, Policy Design and Evaluation Laboratory, Center for Effective Global Action and the Development Innovation Lab (UC Berkeley). He also won the Innovate Award from the Development Innovation Lab from UC Berkeley. Callen earned his Ph.D. in Economics from the University of Calif

ornia, San Diego and his B.Sc. in Econometrics and Mathematical Economics from the London School of Economics and Political Science.Catherine Wolfram is the Cora Jane Flood Professor of Business Administration at the Haas School of Business, UC Berkeley. She is also Faculty Director of the Energy In

stitute at Haas and of The E2e Project, a research organization focused on energy efficiency. She is program director of the Environmental and Energy Economics program at the National Bureau of Economic Research and an affiliated faculty member in the Agriculture and Resource Economics department an

d the Energy and Resources Group at Berkeley. Wolfram has published extensively on the economics of energy markets. She has studied the electricity industry around the world and has analyzed the effects of environmental regulation, including climate change mitigation policies, on the energy sector.

She is currently implementing several randomized controlled trials to evaluate energy programs in the U.S., Kenya and India. She received a PhD in economics from MIT in 1996 and an AB from Harvard in 1989. Before joining the faculty at UC Berkeley, she was an assistant professor of economics at Harv

ard.

Best portfolio進入發燒排行的影片

組織公民行為研究之文獻計量分析

為了解決Best portfolio的問題，作者蔡明施 這樣論述：

為探究組織公民行為研究之文獻發展趨勢、知識結構及新興議題，本研究以文獻計量學分析為方法，分別使用Scopus索摘引文資料庫與臺灣人文及社會科學引文索引資料庫（TCI-HSS）作為文獻來源，進行文獻探勘，以「組織公民行為」（Organizational Citizenship Behavior）、「角色外行為」(extra-role behavior)搭配教育（education*)、學校(school)或教師(teacher)為主題詞檢索，限縮於「期刊文獻」（Article）及「回顧型文獻」（Review）範疇，年份不限，最終檢索結果分別納入Scopus（2,666篇）為1983年至2021

年間發表及TCI-HSS（77篇）為2001年至2020年間發表之文獻資料。本研究以VOSviewer及CiteSpace書目軟體作為分析工具，利用聚類分析技術（Cluster analysis）和繪圖（Mapping）功能，藉由國家、機構、作者引文分析及作者、文獻、期刊的共被引分析、關鍵詞共現分析，將文獻資料可視化，並繪製科學知識圖譜，對組織公民行為研究的整體發展脈絡進行梳理，分析其研究熱點變化趨勢，推測其前沿動態。研究結果發現，組織公民行為研究，以美國、中國大陸及英國為研究重鎮，具有強大的影響力，以色列海法大學、美國印第安那大學布隆明頓分校及美國密西根州立大學為重要的研究機構。「Journ

al of Applied Psychology」為組織公民行為研究之指標性期刊，深具權威性。高被引文獻作者為Dennis W Organ、Philip Michael Podsakoff、Scott Bradley MacKenzie、Robert H. Moorman及Linn Van Dyne等人；文獻共被引分析之2個有效聚類「組織公民行為之概念定義、前因後果、構面分類與量表發展及研究方法」及「組織公民行為的構面再定義、社會交換理論完整回顧、結構方程模型的評估及提出對行為研究中常見的方法偏差及建議補救方法」為組織公民行為研究之知識基礎。高頻次關鍵字「工作滿意度」、「組織承諾」、「領導者與

成員交換理論」、「轉型領導」、「組織公平」及關鍵字共現分析五個有效聚類「組織公民行為」、「心理賦權」、「組織特性」、「離職傾向」及「員工態度」為研究熱點。Koopman等人（2016）的文獻自2016年至今仍持續突現，文中探討組織公民行為之光明面和黑暗面：對幫助他人的好處和代價的日常調查的議題，為研究前沿之一；「量化」、「企業社會責任」、「工作敬業」、「環境導向組織公民行為」、「心理資本」及「敬業心」等六個高突現關鍵詞持續突現，亦為研究前沿之一。本研究綜合研究結果，提出具體建議，作為教育人員提昇學校行政管理相關知能及未來研究之參考。

The Green Umbrella

為了解決Best portfolio的問題，作者Kramer, Jackie Azúa 這樣論述：

Jackie Azúa Kramer was born in Manhattan, New York. Many lives ago Jackie was an actor, singer, and school counselor. Her work with children presented her with an opportunity to address their concerns, secrets, and hopes through storytelling. Many of Jackie’s best ideas happen in a bathtub full of

bubbles. Jackie and her family live happily in Long Island, New York. Maral Sassouni was born in Philadelphia, Pennsylvania. She has been an illustrator for more than 20 years. In 2013 she won the SCBWI Portfolio Grand Prize. Her work was selected by the Society of Illustrators in New York (2014), a

nd also honored by the 3x3 Picture Book Show in 2012, 2013 and 2014. Her art has been exhibited in group shows of children’s illustration all over the world: in Sàrmede, Italy, for the Immagini della Fantasia exhibit (2011, 2012); in Mexico City, at the Museo Franz Mayer in conjunction with the IBBY

Congress of 2014; in South Korea, at the 2013 Nami Island Illustration exhibit. Also in Geneva, at the United Nations Headquarters, and in Brussels, at the European Parliament.

一個植基於特徵選取與樣本選取技術的自動選股模型

為了解決Best portfolio的問題，作者洪郁翔 這樣論述：

本論文研究台灣上市上櫃公司之財務指標相關資料，提出以分群演算法（Cluster）區分財務體質良好與不佳的分群結果，搭配特徵選取方法（Feature Selection, FS）或是樣本選取方法（Instance Selection, IS）結合隨機森林（Random Forest）機器學習方法探討股票預測之成效，本研究選取訓練資料為2001年至2018年在台灣加權指數有多頭和空頭股市經歷兩個大週期循環分別為2007年金融海嘯以及2018年中美貿易大戰，並以預測之日為建構日以相同金額買入並且以2018年3月至2022年3月之資料進行投資策略回溯測試。其實驗結果顯示Cascade Simple

K-Means加上樣本選擇（Instance Selection）的遺傳基因演算法（Genetic Algorithm, GA）結合隨機森林（Random Forest）預測結果其報酬率為79%為最優，其次，自我組織設映圖SOM（Self-Organizing Map）加上過採樣方法(Synthesized Minority Oversampling Technique ,SMOTE)其報酬率為75%。本實驗結果在於Cascade Simple K-Means和SOM兩種分群演算法搭配任何一個特徵選取或是樣本選取並結合隨機森林演算法結果都有72%以上報酬率，均優於大盤指數的62%，甚至在EM（

Expectation-Maximization algorithm）演算法也有三種方法（IB3、IS-GA、PCA）可以超過大盤報酬率。