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"AEE-CEM" exam typically refers to the "Certified Energy Manager" (CEM) certification offered by the Association of Energy Engineers (AEE). The CEM certification is a widely recognized qualification in the field of energy management. The Certified Energy Manager (CEM) program is designed to assess and validate the expertise of professionals in the energy management field. Individuals who obtain the CEM certification demonstrate their knowledge and skills in effectively managing energy resources and implementing energy efficiency measures in various settings, such as commercial, industrial, and institutional facilities. The exam covers a wide range of topics related to energy management, including energy auditing, energy conservation measures, energy procurement, renewable energy technologies, building systems and equipment, energy regulations, and more. The certification process typically involves meeting specific educational and work experience requirements and passing the comprehensive CEM examination.
The Global Plant Nutrient Testing Equipment Market Research Report Forecast is a valuable source of insightful data for business strategists. It provides the industry overview with trend analysis, historical, futuristic data, revenue, demand and strategic development.
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Mesothelioma is a rare aggressive cancer that develops from the mesothelium. Recent molecular analyses have defined four different types of mesothelioma based on gene expression and two major molecularly-defined groups based on prognosis. In this volume, potential mechanisms causing this heterogeneity are explored. The different chapters include heterogeneity learned from experimental animal models in NF2/Hippo pathway signaling, stem cell signaling pathways, the tumor microenvironment, and micro RNA secretome. Novel aspects deserving attention such as the implication of long, non-coding RNA in disease heterogeneity are described. The volume also includes the description of tools useful to address some specific questions such as an assessment of the copy number variations of two tumor suppressors frequently mutated in mesothelioma or an investigation of Macrophage Inhibition Factor signaling in mesothelioma.
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In a rapidly changing world, it is necessary to increase the engagement of local authorities and stakeholders to make urban mobility cleaner and more sustainable. The best way is to combine great ideas and innovative measures with political support. This Special Issue consists of six articles analyzing the impact of SUMPs. Innovative measures have been proposed to change urban transport systems towards sustainability: Chinese research has analyzed the tourist flow of Tibet using innovative technologies: mobile phone data, visualizations using GIS, and social networks. Lithuanian authors proposed three autonomous car travel development concepts that should become a conceptual tool in the development of ITS and C-ITS. An English scientific paper is based on a review of local transport policy documents from 13 cities in four countries. Most cities seek to reduce car travel as a proportion of trips. Experience from Slovenia shows that the comprehensive traffic calming approach has positive effects and contributes to achieving sustainable mobility. Korean researchers used the GINI coefficient to evaluate the bus system to identify bus nodes in order of importance. The last article described that multicriteria decision-making methods have been successfully used for assessing the effectiveness of sustainable transport systems, and a universal evaluation model was proposed.
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This book comprises components associated with smart water which aims at the exploitation and building of more sustainable and technological water networks towards the water–energy nexus and system efficiency. The implementation of modeling frameworks for measuring the performance based on a set of relevant indicators and data applications and model interfaces provides better support for decisions towards greater sustainability and more flexible and safer solutions. The hydraulic, management, and structural models represent the most effective and viable way to predict the behavior of the water networks under a wide range of conditions of demand and system failures. The knowledge of reliable parameters is crucial to develop approach models and, therefore, positive decisions in real time to be implemented in smart water systems. On the other hand, the models of operation in real-time optimization allow us to extend decisions to smart water systems in order to improve the efficiency of the water network and ensure more reliable and flexible operations, maximizing cost, environmental, and social savings associated with losses or failures. The data obtained in real time instantly update the network model towards digital water models, showing the characteristic parameters of pumps, valves, pressures, and flows, as well as hours of operation towards the lowest operating costs, in order to meet the requirement objectives for an efficient system.
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