THE KUZNETS CURVE and the LIFE CYCLE ANALOGY by 97/08
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Assessment of Forest Pests and Diseases in Protected Areas of Georgia Final Report
Assessment of Forest Pests and Diseases in Protected Areas of Georgia Final report Dr. Iryna Matsiakh Tbilisi 2014 This publication has been produced with the assistance of the European Union. The content, findings, interpretations, and conclusions of this publication are the sole responsibility of the FLEG II (ENPI East) Programme Team (www.enpi-fleg.org) and can in no way be taken to reflect the views of the European Union. The views expressed do not necessarily reflect those of the Implementing Organizations. CONTENTS LIST OF TABLES AND FIGURES ............................................................................................................................. 3 ABBREVIATIONS AND ACRONYMS ...................................................................................................................... 6 EXECUTIVE SUMMARY .............................................................................................................................................. 7 Background information ...................................................................................................................................... 7 Literature review ...................................................................................................................................................... 7 Methodology ................................................................................................................................................................. 8 Results and Discussion .......................................................................................................................................... -
An Approach for Predicting Hype Cycle Based on Machine Learning
An Approach for Predicting Hype Cycle Based on Machine Learning Zhijun Ren Shuo Xu Institute of Scientific and Technical Information of China, Institute of Scientific and Technical Information of China, Beijing 100038, China Beijing 100038, China The China Patent Information Center, the State [email protected] Intellectual Property Office, Beijing 100088, China [email protected] Xiaodong Qiao Hongqi Han Institute of Scientific and Technical Information of China, Institute of Scientific and Technical Information of China, Beijing 100038, China Beijing 100038, China [email protected] [email protected] Kai Zhang The China Patent Information Center, the State Intellectual Property Office, Beijing 100088, China [email protected] ABSTRACT Some scholars believe that hype means advertised in publicity Analyzing mass information and supporting insight based on and exaggerated propaganda[1], and the best measure is the analysis results are very important work but it needs much expectation, which means people’s expectation for technology effort and time. Therefore, in this paper, we propose an innovation. Enterprises should use hype cycle to target the approach for predicting hype cycle based on machine learning emerging technologies, and use the concept of digital business for effective, systematic, and objective information analysis transformation to predict future business trends. and future forecasting of science and IT field. Additionally, Gartner believes that hype cycle is a qualitative we execute a comparative evaluation between the suggested decision-making tool, like other management methods, it model and Hype Cycle for Big Data, 2013 for validating the relies mainly on the judgment of experts. And to complete the suggested model and generally used for information analysis hype cycle assessment and prediction of a set of technologies and forecasting. -
How Water Quality in Transboundary River Systems Affects Water, Sanitation, and Foreign Policy
How Water Quality in Transboundary River Systems Affects Water, Sanitation, and Foreign Policy | 1 How Water Quality in Transboundary River Systems Affects Water, Sanitation, and Foreign Policy David Tipping, 2001 By David C. Tipping Edited by Yeareen Yun Disclaimer: The views and opinions expressed in this article are those of the author and do not necessarily reflect the official policy or position of any agency of the Australian government. Assumptions made within the analysis are not reflective of the position of any Australian government entity, or other organization or professional association. 1. INTRODUCTION Access to adequate water supply and sanitation is the core premise of local level water security. Effective management of transboundary river basin systems and water quality risks is therefore fundamental to social progress and quality of life. Improved water quality management benefits many individual lives in riparian nations, and, as demonstrated by the annual new year blessing of the fish migrations, society at large throughout the Mekong River Basin. In 2001, the author investigated the use of sustainable development indicators to improve the institutional effectiveness of international environmental management regimes. A new framework was designed to evaluate beneficial uses of water. In addition, a case study was developed on the Lower Mekong River Basin system, which integrated measures of water and environmental quality and socio-economic development. The research objectives were: (1) improving the understanding of water quality issues; (2) benchmarking water resources management performance at local, national and regional levels; and (3) enhancing technical and administrative capabilities of transboundary river basin management regimes through capacity development focused on the achievement of sustainable development objectives, and obligations and duties under international law. -
Assessment of Forest Pests and Diseases in Native Boxwood Forests of Georgia Final Report
Assessment of Forest Pests and Diseases in Native Boxwood Forests of Georgia Final report Dr. Iryna Matsiakh Forestry Department, Ukrainian National Forestry University (Lviv) Tbilisi 2016 TABLE OF CONTENT LIST OF TABLES AND FIGURES .................................................................................................................................. 2 ABBREVIATIONS AND ACRONYMS ........................................................................................................................... 5 EXECUTIVE SUMMARY .................................................................................................................................................. 6 INTRODUCTION .............................................................................................................................................................. 10 1. BACKGROUND INFORMATION ............................................................................................................................ 11 1.1. Biodiversity of Georgia ........................................................................................................................................ 11 1.2. Forest Ecosystems .................................................................................................................................................. 12 1.3. Boxwood Forests in Forests Habitat Classification ................................................................................. 14 1.4. Georgian Forests Habitat in the Context of Climate Change -
Guide 3 – Fish Farmer's Guide to Combating Parasitic
GUIDE 3 – FISH FARMER’S GUIDE TO COMBATING PARASITIC INFECTIONS IN COMMON CARP AQUACULTURE e-NIPO: 833-20-103-X A Series of ParaFishControl Guides to Combating Fish Parasite Infections in Aquaculture. Guide 3 This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 634429 (ParaFishControl). This output reflects only the author’s view and the European Union cannot be held responsible for any use that may be made of the information contained therein. Wherever the fish are, that's where we go. “ Richard Wagner “ Common carp is the third most cultivated freshwater species in the world. Carp aquaculture is usually performed in a semi-intensive manner, in earthen ponds, where parasitic diseases can easily compromise fish health, especially in the hot summer months, leading to production and economic losses. This guide provides useful information about the biological background of five parasites, their diagnostics and control measures. © A.S. Holzer List of Authors Dr Astrid S. Holzer, Principal Investigator and Team Leader Institute of Parasitology Biology Centre of the Czech Academy of Sciences, Czech Republic Email: [email protected] Dr Pavla Bartošová-Sojková, Researcher Institute of Parasitology Biology Centre of the Czech Academy of Sciences, Czech Republic Email: [email protected] Honorary Prof. Csaba Székely, Scientific Advisor and Team Leader Institute for Veterinary Medical Research, Centre for Agricultural Research, (former Hungarian Academy of Sciences), Hungary Email: [email protected] Dr Gábor Cech, Senior Researcher, Institute for Veterinary Medical Research, Centre for Agricultural Research, (former Hungarian Academy of Sciences), Hungary Email: [email protected] Dr Kálmán Molnár, Retired Scientific Advisor, Fish Pathology and Parasitology Research Team, Institute for Veterinary Medical Research, Centre for Agricultural Research (former Hungarian Academy of Sciences), Hungary Prof. -
Difference Between Haplontic and Diplontic Life Cycles
Difference Between Haplontic and Diplontic Life Cycles www.differencebetween.com Key Difference – Haplontic vs Diplontic Life Cycles In the context of biology, a biological life cycle is a sequence of changes a particular organism undergoes through means of reproduction (sexual or asexual) which finally returns to the original starting phase. This procedure differs from one organism to the other. During sexual reproduction, the life cycle includes the change of ploidy; the alternation of haploid (n) and diploid (2n) stages. Meiosis occurs during the change over from a diploid stage to a haploid stage. With regards to change of ploidy, life cycles are of three types. They are, haplontic, diplontic and haplodiplontic. In a haplontic life cycle, the haploid stage is typically multicellular and results in the formation of a diploid (2n) cell, which is a zygote. The zygote undergoes meiosis, which results in the formation of haploid (n) cells. In a diplontic life cycle, the diploid stage is typically multicellular, and meiosis occurs during gamete formation which results in the production of haploid (n) gametes. During fertilization, the haploid (n) gametes fuse together in the formation of a diploid (2n) zygote, and it mitotically divides and produces a multicellular diploid (2n) organism. This is the key difference between haplontic and diplontic life cycles. What is a Haplontic Life Cycle? Haplontic life cycle involves the formation of a haploid (n) single cell by the meiosis of a diploid (2n) zygote. This phenomenon could be explained with sporic meiosis – the process of formation of spores. In this process, the zygote mitotically divides and produces multicellular sporophyte which is diploid (2n). -
The Industry-Technology Life Cycle: an Integrating Meta-Model?
THE INDUSTRY-TECHNOLOGY LIFE CYCLE: AN INTEGRATING META-MODEL? Robert U. Ayres International Institute for Applied Systems Analysis Lazenburg, Austria RR-87-3 March 1987 INTERNATIONAL INSTITUTE FOR APPLIED SYSTEMS ANALYSIS Laxenburg, Austria International Standard Book Number 8-7045-0081-x Research Reports, which record research conducted at IIASA, are independently reviewed before publication. However, the views and opinions they express are not necessarily those of the Institute or the National Member Organizations that support it. Copyright @ 1987 International Institute for Applied Systems Analysis All rights reserved. No part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage or retrieval system, without permission in writing from the publisher. Cover design by Martin Schobel Printed by Novographic, Vienna, Austria Summary This report attempts to answer a rather deep question: To what extent can "pure" economics explain economic growth and technological change? By "pure" economics, it is meant the relationships governing the behavior of abstract enti- ties, producing abstract products or services for sale in an idealized competitive market. Pure economics, in the above sense, admits R&D and innovations of an unspecified kind; it also admits improvements (unspecified) and learning curves or experience curves. The report concludes, however, that the dynamic behavior of the product "life cycle" in specific cases, and the observed clustering of innovations in partic- ular fields at particular times, with periods of rapid progress followed by slow- downs, can only by explained by also taking into account the preexisting state of technology, and the laws of nature. -
FINAL COMPASS Aquaculture Roundtable Brief
Science in Action: Exploring the Future of U.S. Aquaculture A COMPASS Roundtable on Ocean Aquaculture As the population continues to expand—both domestically and globally—identifying secure, safe sources of protein is a critical need. With two-thirds of the planet covered in water, it is logical to turn to the ocean as an arena for producing food. Globally, aquaculture is the fastest growing food sector,[i] underscoring the importance of understanding the scientific, policy, and social implications of ocean aquaculture. As with all types of cultivated food production, there are complex and interwoven challenges and opportunities in ocean aquaculture.[ii] Indigenous knowledge and current research can answer questions around environmental safeguards, ecological impacts, long-term sustainable use of marine resources, and the social dimensions of ocean aquaculture. While we’ve developed a deeper scientific understanding of aquaculture, there remains a gap between the state of the science, federal policy, and public perceptions of ocean aquaculture in the U.S.[iii] In order to help provide research insights on the science related to aquaculture, COMPASS convened a roundtable discussion with scientists and policymakers in July 2019. The Roundtable examined ways that science can inform safe, sustainable, and socially acceptable ocean aquaculture in the United States. In preparation, COMPASS staff examined the U.S. aquaculture landscape by speaking with more than 50 scientists, managers, policymakers, and tribal representatives. These stage-setting conversations reflected the key concerns surrounding ocean aquaculture such as best management practices, economics, pollution, interactions with wild populations, and climate change. They also highlighted some of the scientific, technological, and cultural advancements in contemporary aquaculture that could address and reduce some of the perceived risks. -
This May Be the Author's Version of a Work That Was Submitted/Accepted for Publication in the Following Source: Dedehayir
This may be the author’s version of a work that was submitted/accepted for publication in the following source: Dedehayir, Ozgur & Steinert, Martin (2016) The hype cycle model: A review and future directions. Technological Forecasting and Social Change, 108, pp. 28-41. This file was downloaded from: https://eprints.qut.edu.au/95588/ c Consult author(s) regarding copyright matters This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the docu- ment is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recog- nise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to [email protected] Notice: Please note that this document may not be the Version of Record (i.e. published version) of the work. Author manuscript versions (as Sub- mitted for peer review or as Accepted for publication after peer review) can be identified by an absence of publisher branding and/or typeset appear- ance. If there is any doubt, please refer to the published source. https://doi.org/10.1016/j.techfore.2016.04.005 The Hype Cycle model: A review and future directions The hype cycle model traces the evolution of technological innovations as they pass through successive stages pronounced by the peak, disappointment, and recovery of expectations. -
Life Cycle Engineering Guidelines
EPA/600/R-01/101 November 2001 Life Cycle Engineering Guidelines Joyce Smith Cooper and Bruce Vigon Battelle Columbus Laboratories 505 King Avenue Columbus, Ohio 43201 CR822956 Project Officer Kenneth R. Stone Sustainable Technology Division Systems Analysis Branch National Risk Management Research Laboratory Cincinnati, Ohio 45268 National Risk Management Research Laboratory OfFice of Research and Development U.S. Environmental Protection Agency Cincinnati, OH 45268 Notice This publication has not been formally reviewed by EPA. The views expressed in this document are solely those of Battelle Columbus Laboratories and EPA does not endorse any products or commercial services mentioned in this publication. Foreword This publication has been produced as part of the Strategic Environmental Research and Development Program (SERDP) strategic long-term research plan. SERDP was established in order to sponsor cooperative research, development, and demonstration activities for environmental risk reduction. Funded with U.S. Department of Defense (DoD) resources, SERDP is an interagency initiative involving the DoD, the U.S. Department of Energy, and the U.S. Environmental Protection Agency (EPA). SERDP seeks to develop environmental solutions that improve mission readiness for Federal activities. The Life-Cycle Engineering and Design Program (LCED) is a product of the SERDP effort coordinated by the EPA to provide a technical and economic basis for the effective application of life cycle principles to product and process design and materials selection. In addition, it is expected that many techniques developed will have applications across both the public and private sectors. This document has been published and is made available by EPA's Office of Research and Development to assist the user community and to link researchers with their clients. -
Survivability of Moss and Fungal Spores in Tests Simulating
Biological Sciences in Space, Vol.25 No.2-4, 83-92,Takahashi, 2011 Y. et al. Original Paper Survivability of Moss and Fungal spores irradiated for 30 min. On the other hand, a colony did not develop if the spores were Spores in Tests Simulating taken off the beads and irradiated for 10 min. Conditions of the ISS Outer Wall This indicates that UV does not penetrate to the other side of the beads, and so the spores on Yuichi Takahashi1*, Hirofumi Hashimoto2, that side can be protected from UV radiation. 3 1 ©2011 Jpn. Soc. Biol. Sci. Space; Article ID: Takuo Nakagawa and Shinpei Shibata 112502011 1Department of Astrophysics, Interactive Symbio- sphere Science, Yamagata University Graduate Key words; fungi, moss, spore, survivability, thermal cycle treatment, UV irradiation School of Science and Engineering, Kojirakawa- machi 1-4-12, Yamagata-City, Yamagata 990-8560, Introduction Japan 2 Institute of Space and Astronautical Science, There are many factors that can influence the survivability JAXA, Yoshinodai 3-1-1 Chuo-ku, Sagamihara- of terrestrial life (TL) in interstellar and interplanetary space, City, Kanagawa 252-5210, Japan for example full-spectrum electromagnetic radiation from 3Inspection room, Kojirakawa-Shiseidoh Hospital, the sun, temperature fluctuations, cosmic particle radiation, Higashihara-machi 1-12-26, Yamagata-City, Ya- vacuum, and microgravity. However, space conditions can magata 990-0034, Japan only be partially simulated in ground experiments. Recently, several experiments have investigated the possibility of TL Abstract survival in space, for example EXPOSE-E (ESA Human Space Flight (2010) Expose, http:// smsc.cnes.fr/EXPOSE/), BIORISK (Baranow et al., 2009; Novikova et al., 2010) and To investigate whether terrestrial life (TL) can BIOPAN (De la Torre Noetzel et al., 2007; Devara et al., survive in interstellar and interplanetary space, 2010), while another one, TANPOPO, will take place in the an experiment was performed to simulate near future. -
A Study on the Deduction and Diffusion of Promising Artificial
sustainability Article A Study on the Deduction and Diffusion of Promising Artificial Intelligence Technology for Sustainable Industrial Development Hong Joo Lee * and Hoyeon Oh Department of Industrial and Management, Kyonggi University, Suwon 443760, Gyeonggi, Korea; [email protected] * Correspondence: [email protected] Received: 14 May 2020; Accepted: 8 July 2020; Published: 13 July 2020 Abstract: Based on the rapid development of Information and Communication Technology (ICT), all industries are preparing for a paradigm shift as a result of the Fourth Industrial Revolution. Therefore, it is necessary to study the importance and diffusion of technology and, through this, the development and direction of core technologies. Leading countries such as the United States and China are focusing on artificial intelligence (AI)’s great potential and are working to establish a strategy to preempt the continued superiority of national competitiveness through AI technology. This is because artificial intelligence technology can be applied to all industries, and it is expected to change the industrial structure and create various business models. This study analyzed the leading artificial intelligence technology to strengthen the market’s environment and industry competitiveness. We then analyzed the lifecycle of the technology and evaluated the direction of sustainable development in industry. This study collected and studied patents in the field of artificial intelligence from the US Patent Office, where technology-related patents are concentrated. All patents registered as artificial intelligence technology were analyzed by text mining, using the abstracts of each patent. The topic was extracted through topic modeling and defined as a detailed technique. Promising/mature skills were analyzed through a regression analysis of the extracted topics.