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Programming Google Cloud: Building Cloud Native Applications with Gcp

為了解決consultant人工的問題，作者Costa, Rui 這樣論述：

Companies looking to move enterprise applications to the cloud are busy weighing several options, such as the use of containers, machine learning, and serverless computing. There’s a better way. Instead of helping you fit your use case to individual technologies, this practical guide explains how

to use these technologies to fit your use case. Author Rui Costa, a learning consultant with Google, demonstrates this approach by showing you how to run your application on Google Cloud. Each chapter is dedicated to an area of technology that you need to address when planning and deploying your a

pplication. This book starts by presenting a detailed fictional use case, followed by chapters that focus on the building blocks necessary to deploy a secure enterprise application successfully. Build serverless applications with Google Cloud Functions Explore use cases for deploying a real-time mes

saging service Deploy applications to Google Kubernetes Engine (GKE) Build multiregional GKE clusters Integrate continuous integration and continuous delivery with your application Incorporate Google Cloud APIs, including speech-to-text and data loss prevention Enrich data with Google Cloud Dataflow

Secure your application with Google Cloud Identity-Aware Proxy Explore BigQuery and visualization with Looker and BigQuery SDKs

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大專專任諮商心理師遇危機個案之情緒勞務歷程研究

為了解決consultant人工的問題，作者洪怡菁 這樣論述：

本研究目的在探討諮商心理師遇到危機個案所引發的情緒勞務現象、諮商歷程中情緒勞務的調節、工作外情緒勞務的調適經驗及其影響。本研究方法採用紮根理論，透過半結構深度訪談，將錄音逐字稿以開放性編碼、主軸編碼、選擇編碼的資料處理步驟，進行文本分析，以獲得心理師遇見危機個案時經歷的情緒勞務歷程及其影響。研究對象為執業5年以上的大專專任諮商心理師，共邀請10位諮商心理師，每位心理師完成訪談2位危機個案，共分析20份訪談資料。研究結果發現，一、經單一心理師對個案資料分析發現，心理師在面對危機個案時，經歷的情緒勞務相關歷程包含六項核心類別；二、經由跨心理師對危機個案資料分析後，發現區分三類危機個案將能一窺情緒

勞務歷程中的現象，此部分研究結果發現：1.諮商心理師經歷危機個案時的情緒勞務歷程之前置因素包含：3類危機個案特性、心理師個人狀態與系統要求所引發的情緒勞務。2.心理師諮商危機個案的情緒勞務過程包含：覺察個案引起的情緒勞務、心理師自身反移情與系統的壓力負荷，在專業考量下須壓抑負向情緒，表達專業同理等情緒，建立一定關係後，轉而能理解、接納個案，對專業認同，以進行深層或自然真實的情緒調節；心理師接續整理反移情，與系統合作，以減輕情緒勞務負荷，同時心理師透過建立關係來調節個案工作，並對人格疾患在維持關係與設限間平衡、問題解決不陷入個案情緒；對憂鬱個案接納情緒與放慢諮商速度；對創傷個案整理自我性議題並賦

權個案。3.諮商心理師諮商外負荷與調適：心理師在諮商室外有延宕未調節的情緒、身心耗盡、預期焦慮、諮商前抗拒等，而關鍵調適方式為尋求專業系統的協助，其次的調適方式為情緒焦點與問題焦點因應方式。4.諮商心理師情緒勞務後影響與建議：心理師秉持專業認同能將情緒勞務的負向影響轉化為正向影響，經歷危機個案之心理師建議增加覺察情緒勞務、學習自我照顧、增強專業能力、健全系統合作，才能維續在專業領域的發展。最後，根據研究結果本研究亦提出進一步研究討論，以及研究建議與限制。

How Data Can Manage Global Health Pandemics: Analyzing and Understanding Covid-19

為了解決consultant人工的問題，作者Mahanti, Rupa 這樣論述：

This book bridges the fields of health care and data to clarify how to use data to manage pandemics. Written while COVID-19 was raging, it identifies both effective practices and misfires, and is grounded in clear, research-based explanations of pandemics and data strategy....The author has writt

en an essential book for students and professionals in both health care and data. While serving the needs of academics and experts, the book is accessible for the general reader. - Eileen Forrester, CEO of Forrester Leadership Group, Author of CMMI for Services, Guidelines for Superior Service...Rup

a Mahanti explores the connections between data and the human response to the spread of disease in her new book, ... She recognizes the value of data and the kind of insight it can bring, while at the same time recognizing that using data to solve problems requires not just technology, but also lead

ership and courage. This is a book for people who want to better understand the role of data and people in solving human problems.-- Laura Sebastian-Coleman, Author of Meeting the Challenges of Data Quality ManagementIn contrast to the 1918 Spanish flu pandemic which occurred in a non-digital age, t

he timing of the COVID-19 pandemic intersects with the digital age, characterized by the collection of large amounts of data and sophisticated technologies. Data and technology are being used to combat this digital age pandemic in ways that were not possible in the pre-digital age.Given the adverse

impacts of pandemics in general and the COVID-19 pandemic in particular, it is imperative that people understand the meaning, origin of pandemics, related terms, trajectory of a new disease, butterfly effect of contagious diseases, factors governing the pandemic potential of a disease, strategies to

combat a pandemic, role of data, data sharing, data strategy, data governance, analytics, and data visualization in managing pandemics, pandemic myths, critical success factors in managing pandemics, and lessons learned. How Data Can Manage Global Health Pandemics: Analyzing and Understanding COVID

-19 discusses these elements with special reference to COVID-19.Dr. Rupa Mahanti is a business and data consultant and has expertise in different data management disciplines, business process improvement, regulatory reporting, quality management, and more. She is the author of Data Quality (ASQ Qual

ity Press) and the series Data Governance: The Way Forward (Springer).

受孕方式是否會影響母乳哺餵及0-13歲兒童癌症、心血管疾病及糖尿病？

為了解決consultant人工的問題，作者翁雪珊 這樣論述：

中文摘要 iABSTRACT ivTABLE OF CONTENTS viiiLIST OF TABLES xLIST OF FIGURES xiCHAPTER ONE: INTRODUCTION 1CHAPTER TWO: LITERATURE REVIEW 72.1. Potential mechanisms for infertility and assisted reproductive technology on childhood cancers, pediatric cardiovascular diseases, and diabet

es mellitus 72.1.1. Potential mechanisms for infertility on child health 72.1.2. Potential mechanisms for assisted reproductive technology on child health 102.2. The effect of mode of conception on childhood cancers 122.3. The effect of mode of conception on pediatric cardiovascular dise

ases and diabetes mellitus 152.4. The effect of mode of conception on early breastfeeding outcomes and potential mechanism 182.5. Study objectives and study framework 21CHAPTER THREE: METHODS 223.1. The effect of mode of conception on offspring’s health in childhood 223.2. The effect

of mode of conception on early breastfeeding 33CHAPTER FOUR: RESULTS 384.1. The effect of mode of conception on childhood cancers 384.2. The effect of mode of conception on type I diabetes mellitus 494.3. The effect of mode of conception on pediatric cardiovascular diseases 554.4. The

effect of mode of conception on early breastfeeding outcomes 69CHAPTER FIVE: DISCUSSION 775.1. The effect of mode of conception on childhood cancers 775.2. The effect of mode of conception on type 1 diabetes mellitus 825.3. The effect of mode of conception on pediatric cardiovascular di

seases 845.4. The effect of mode of conception on early breastfeeding outcomes 88CHAPTER SIX: OVERALL SUMMARY 926.1. Summary of significant findings 926.2. Study limitations 936.3. Policy implication 946.4. Future research 95References 96Appendix 112