A practical guide for facility engineers and managers to understand the impact of environmental regulations when applied to operating equipment in any industry or facility. It lays out a clear road map on how to learn the essential steps and how to use the proper tools. Based on the author’s 39-year experience, this concise material discusses real-life applications and case studies adopted and implemented successfully in many NYC facilities and appropriate for large cities. It will help facility engineers comply with various rules and regulations of the jurisdictions of EPA, state, city, and local agencies and properly itemize reporting requirements.
Preface
Chapter 1 : A Clinical Practice by Machine Translation on Low Resource Languages
Chapter 2 : Feature Analysis and Classification of Impaired Language Caused by Brain Injury
Chapter 3 : Natural Language Processing for Mental Disorders : An Overview
Chapter 4 : Healthcare Nlp Infrastructure for the Greek Language
Chapter 5 : Formalizing the Recognition of Medical Domain Multiword Units
Chapter 6 : Healfavor : Machine Translation Enabled Healthcare Chat Based Application
Chapter 7 : Development of a Machine Translation System for Promoting the Use of a Low Resource Language in the Clinical Domain : The Case of Basque
Chapter 8 : Clinical Nlp for Drug Safety
Chapter 9 : Language- and Domain-independent Approach to Automatic Detection of Covid-19 Fake News
Chapter 10 : Employing Computational Linguistics to Improve Patient-provider Secure Email Exchange : the Eclippse Study
Index
