Generating capacity的問題,透過圖書和論文來找解法和答案更準確安心。 我們找到下列線上看、影評和彩蛋懶人包

Generating capacity的問題,我們搜遍了碩博士論文和台灣出版的書籍,推薦Bhate-Deosthali, Padma,Rege, Sangeeta,Arora, Sanjida寫的 The Aftermath of Rape: Survivors Speak 和Wang, You-Gan,Fu, Liya,Paul, Sudhir的 Analysis of Longitudinal Data with Example都 可以從中找到所需的評價。

這兩本書分別來自 和所出版 。

國立陽明交通大學 材料科學與工程學系所 韋光華所指導 呂弈均的 以一步驟表面電漿誘發剝離法製備氮摻雜碳化鉬/石墨烯奈米片複合材料及其性質和產氫催化性能 (2021),提出Generating capacity關鍵因素是什麼,來自於表面電漿誘發剝離法、碳化鉬、石墨烯奈米片、複合材料、電催化產氫。

而第二篇論文逢甲大學 商學博士學位學程 賴文祥所指導 范志旻的 利用模糊層級分析法 探討半導體產業品牌影響因素之分析 (2021),提出因為有 模糊層次分析法、半導體產業品牌、關鍵影響因素的重點而找出了 Generating capacity的解答。

接下來讓我們看這些論文和書籍都說些什麼吧:

除了Generating capacity,大家也想知道這些:

The Aftermath of Rape: Survivors Speak

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為了解決Generating capacity的問題,作者Bhate-Deosthali, Padma,Rege, Sangeeta,Arora, Sanjida 這樣論述:

Padma Bhate-Deosthali has extensive experience in research, training, and policy advocacy in the areas of gender-based violence, gender in medical education, health policy research, regulation of the private health sector, and women and work, with a focus on health and human rights. She led CEHAT as

its Director for 11 years. She was a member of the Steering Group of the GDG-WHO for developing policy and clinical practice guidelines for responding to violence against women and also member of the National Committee under the MoHFW for drafting the ’Guidelines and Protocols for medico-legal care

for victims/survivors of sexual violence’ in 2014. She coordinated the setting up of Dilaasa, a public hospital-based crisis centre on domestic violence in Mumbai.Sangeeta Rege has a Master’s degree in social work. She has 18 years of experience in engaging the public health sector on gender-based

violence and, more recently, on integrating gender concerns in medical education. She is presently the Coordinator of the Centre for Enquiry into Health and Allied Themes (CEHAT). Sangeeta is trained in social science research, advocacy, training and counselling, and has led CEHAT’s legal interventi

ons to facilitate gender-sensitive medico-legal care for survivors of sexual violence in 2013. She has led the upscaling of the Dilaasa hospital-based crisis centres in different states of India and is committed to generating evidence to strengthen the role of health systems in responding to VAW. Sh

e has co-edited a a book for Routledge- Understanding VAW/C- Understanding responses and approaches in the Indian health sector (2020)Sanjida Arora has been associated with CEHAT for the past 7 years. She is a trained dentist and holds a degree of Master in Public Health from Tata Institute of Socia

l Science. She was co-led an implementation research project in collaboration with the WHO to test training approaches for the roll out of the WHO Clinical and policy guidelines, 2013 in two medical colleges of Maharashtra. She was also the principal investigator on a research project on assessing t

he effectiveness of counselling intervention in antenatal departments of public hospitals for women facing domestic violence. She has been leading the capacity building of several civil society organizations in data management and analysis of counseling service records in a rigorous and ethical mann

er that protects the confidentiality and anonymity of survivors.

以一步驟表面電漿誘發剝離法製備氮摻雜碳化鉬/石墨烯奈米片複合材料及其性質和產氫催化性能

為了解決Generating capacity的問題,作者呂弈均 這樣論述:

在此論文中,講述運用一步驟表面電漿誘發剝離法,製備碳化鉬/石墨烯奈米片複合材料和氮摻雜碳化鉬/石墨烯奈米片複合材料,探討碳化鉬和石墨烯奈米片的比例對表面形貌、材料性質和其應用於電催化產氫中的催化劑表現,並以前者最佳催化表現的比例進行氮摻雜探討異質摻雜對表面形貌、材料性質和其應用於電催化產氫中的催化劑的影響。一步驟表面電漿誘發剝離法是先以石墨紙為基材製備雙層電極,再將雙層電極接到陰極、1M硫酸為電解液,通以70伏特的電壓,在陰極尖端會產生電漿並從雙層電極上剝離複合材料到電解液中,再把電解液抽氣過濾即可得到產物。使用SEM和TEM觀察碳化鉬/石墨烯奈米片複合材料的呈現互相交疊的情形,碳化鉬表面變

崎嶇、尺寸變小,石墨烯奈米片則呈現奈米片狀結構;以EDS和XPS分析可以得知添加氮源可對複合材料中的碳化鉬進行氮摻雜;透過拉曼光譜儀可以得知複合材料中的石墨烯奈米片為少層數;以XRD對材料進行分析和文獻比對後可以得知複合材料中的碳化鉬為beta相結構;把材料以一定比例塗在碳玻璃電極上進行電化學量測,透過LSV量測可得知碳化鉬/石墨烯奈米片複合材料中的最佳過電位是GM-300,數值為247mV,氮摻雜碳化鉬/石墨烯奈米片複合材料中最佳過電位是GM-N50,數值為185mV。塔弗曲線圖中,碳化鉬/石墨烯奈米片複合材料中的塔弗斜率最好的是GM-300,數值為86(mV/dec),氮摻雜碳化鉬/石墨烯

奈米片複合材料中斜率最好的是GM-N50,數值為70(mV/dec)。一步驟表面電漿誘發剝離法能成功同時複合材料進行剝離和異質摻雜,而且此製程有著快速、便宜和單步驟完成製程等優勢,是一項具有研究潛力的製程,未來可以替換其他產氫催化材料進行複合材料的研究。

Analysis of Longitudinal Data with Example

為了解決Generating capacity的問題,作者Wang, You-Gan,Fu, Liya,Paul, Sudhir 這樣論述:

Professor Wang obtained his Ph.D. on dynamic optimization in 1991 (University of Oxford) and worked for CSIRO (2005-2010). Before returning to Australia, Professor Wang worked for the National University of Singapore (2001-2005) and Harvard University as Assistant Professor and Associate Professor (

1998-2000) in biostatistics. He joined the University of Queensland in April 2010 as Chair Professor of Applied Statistics to lead the Centre for Applications in Natural Resource Mathematics and to promote applied statistics and mathematics. Currently, he is Capacity Building Professor in Data Scien

ce at Queensland University of Technology, Australia. Professor Wang has developed a number of novel statistical methodologies in longitudinal data analysis published by top statistical journals (Biometrika, Biometrics, Statistics in Medicine, Journal of the American Statistician Association, Annals

of Statistics). His recent interests and successes include (1) ’working’ likelihood approach for hyperparameter estimation and model selection, (2) integrating statistical learning and machine learning for dependent data analysis and (3) data-driven approach for robust estimation. More recently, he

advocates ’working’ likelihood approaches to parameter estimation but recognizing possibly a different likelihood that generating the observed data in inferencing. This has been found very useful in finding datadependent tuning parameters in robust estimation and hyper-parameters in machine learnin

g algorithms.Liya Fu obtained her Ph.D. in 2010 from Northeast Normal University. Currently she is Associate Professor of Statistics at Xi’an Jiaotong University. She worked briefly as a Postdoctoral Fellow at the University of Queensland after after two-years visiting student at CSIRO (2008-010), A

ustralia. Dr. Fu mainly focuses on the methodologies for the analysis of longitudinal data and has published about 20 papers in international journals, including Biometrics, Statistics in Medicine, Journal of Multivariate Analysis. Professor Sudhir Paul obtained his PhD in 1976 (University of Wales)

. He worked as a Postdoctoral Fellow (University of Newcastle Upon Tyne, 1976- 1978) and a Lecturer (University of Kent at Canterbury, 1978-1982) before moving to Canada in 1982. He started as Assistant Professor at the University of Windsor and moved through all professorial ranks and finally in 20

05 became distinguished University Professor. He became Fellow of the Royal Statistical Society in 1982 and Fellow of the American Statistical Association in 1986.Professor Paul has developed many methodologies for the analyses of overdispersed and zero-inflated count data, longitudinal data, and fa

milial data and published in most of the top-tier journals in statistics (Journal of the Royal Statistical Society, Biometrika, Biometrics, Journal of the American Statistician Association, Technometrics). Professor Paul supervised over 50 graduate students including 16 PhD students and has publishe

d over 100 papers.

利用模糊層級分析法 探討半導體產業品牌影響因素之分析

為了解決Generating capacity的問題,作者范志旻 這樣論述:

隨著時間的流逝,半導體創新正在發生變化,可以適用於不同的創新業務,半導體業務的發展至關重要,因而開闢了許多新的職位。半導體業務是一個融合了不同創新能力並協調上游,中途和下游提供商的專業能力的行業,並且通常具有較高的進入壁壘 。廠家已投入花費很多精力與成本進入這個行業,期盼永續經營與回饋利害關係人。本研究第一步採用PEST, 五力 & SWOT分析,在美國,日本和臺灣,這些是國際半導體供應商鏈中的關鍵成員。經過最新半導體有關文獻的討論和分析,發現現有廠商已經建立了行業品牌,並獲得了用戶的信任。因此,品牌研究在這個行業是大家一直在探索的領域。考慮到寫作對話和大師談話,本研究使用分析層次結構(A

HP)研究技術對品牌的關鍵指針在半導體品牌的關鍵部件上進行重要性的排序,然後利用模糊層次分析法(FAHP)來分析這些標記之間的聯繫。經調查,有11項顯著結果可供參考,關鍵是要在半導體品牌建設上取得優異的成績,“客戶價值”和“品牌資產”都必須達到一定的水平。本研究發現,半導體品牌策略應以“客戶價值”為核心,解決客戶問題,創造卓越價值,並隨著技術的進步不斷投入新產品的研發,以奠定半導體品牌長期成功的基礎。