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1

Strawn, George. "Open Science and the Hype Cycle." Data Intelligence 3, no. 1 (2021): 88–94. http://dx.doi.org/10.1162/dint_a_00081.

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The introduction of a new technology or innovation is often accompanied by “ups and downs” in its fortunes. Gartner Inc. defined a so-called hype cycle to describe a general pattern that many innovations experience: technology trigger, peak of inflated expectations, trough of disillusionment, slope of enlightenment, and plateau of productivity. This article will compare the ongoing introduction of Open Science (OS) with the hype cycle model and speculate on the relevance of that model to OS. Lest the title of this article mislead the reader, be assured that the author believes that OS should h
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Dedehayir, Ozgur, and Martin Steinert. "The hype cycle model: A review and future directions." Technological Forecasting and Social Change 108 (July 2016): 28–41. http://dx.doi.org/10.1016/j.techfore.2016.04.005.

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Mints, Oleksii, and Artem Yankovets. "The Investment Attractiveness of FinTech Businesses in the Context of Global Technological Trends." Economic Herald of the Donbas, no. 1(79) (2025): 141–47. https://doi.org/10.12958/1817-3772-2025-1(79)-141-147.

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The study focuses on the financial technology (FinTech) industry. The study investigated the problem of changes in the sector's investment attractiveness under conditions of macroeconomic and geopolitical instability. Despite a significant decline since 2021, it was found that the sector remains attractive for investment due to stable demand and innovation potential. FinTech has been proven to develop according to Gartner's nonlinear hype cycle model. The study's scientific significance lies in substantiating the importance of technology hype cycle phases in assessing the investment attractive
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Huang, Wenzheng. "Investigating the Life Cycle of Language Learning Applications: Going Beyond the Hype Cycle." Technology in Language Teaching & Learning 6, no. 2 (2024): 1–22. http://dx.doi.org/10.29140/tltl.v6n2.1187.

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As learning is more real and permanent when connected to learners’ private lives beyond the classroom (Godwin-Jones, 2011), mobile-assisted language learning (MALL) has emerged as a good way to support language learning, especially in informal contexts. With thousands of language learning applications (apps) becoming available, more and more language learners have started to use them as a support for their language learning. The purpose of this research is to investigate the life cycle of language learning apps and the reasons why learners decide to start, stop and restart using apps to better
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Costello, Francis Joseph, and Cheong Kim. "Leveraging Sentiment–Topic Analysis for Understanding the Psychological Role of Hype in Emerging Technologies—A Case Study of Electric Vehicles." Behavioral Sciences 15, no. 2 (2025): 137. https://doi.org/10.3390/bs15020137.

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This study presents a novel approach to examining the psychological impact of emerging technologies through the development of a Hype Cycle Model (HCM), utilizing sentiment analysis and topic modeling. Focusing on electric vehicles, we investigate how public sentiment—captured via social media comments—reflects the psychological effects of technology adoption and hype. Our model integrates both qualitative and quantitative analyses, utilizing sentiment scoring and topic modeling to explore thematic psychological trends. An analysis of approximately 43,000 social media comments on electric vehi
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Ariel, Yaron, and Vered Elishar. "Political Communication and the Hype Cycle: Tracing Its Evolution Across the Digital Era." Journalism and Media 6, no. 2 (2025): 87. https://doi.org/10.3390/journalmedia6020087.

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This study applies the technology hype cycle model to explore the interplay between political communication and digital technology from the mid-1990s to the present. It identifies four stages that reflect the hype cycle’s trajectory: initial optimism about the Internet’s democratic potential, subsequent disillusionment as limitations surfaced, renewed enthusiasm with the emergence of social media, and a current measured understanding of associated risks. The evolution of the digital political landscape is elucidated by synthesizing scholarly literature and documented historical accounts to tra
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Тарасенко, Світлана, Олександра Карінцева, Артем Біловол, Войцех Дурановскі, and Збігнєв Дабровскі. "A SYSTEM OF INDICATORS FOR SELECTING INNOVATION TRIGGERS TO DRIVE SUSTAINABLE DEVELOPMENT." Сталий розвиток економіки, no. 4(51) (November 19, 2024): 37–44. http://dx.doi.org/10.32782/2308-1988/2024-51-5.

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The foundation of sustainable development lies in innovation, technology, and entrepreneurship, which have significant positive impacts on socio-economic aspects of life. This study examines the indicators necessary for selecting innovation triggers that can lead country’s sustainable development. Innovation trigger system is mechanism that initiates and drives the development of new technologies and processes, essential for sustainable development by facilitating the transition to more sustainable practices. However, not all innovation triggers succeed or offer long-term benefits for sustaina
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Levensov, Valery, Anton Radaev, and Sergey Salkutsan. "Mathematic model of production technology transformation." SHS Web of Conferences 44 (2018): 00054. http://dx.doi.org/10.1051/shsconf/20184400054.

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Modeling the processes of creating and improving production technologies is one of the most important tasks in the sphere of providing competitiveness for enterprises, branches and complexes in the strategic aspect. For the moment, the model Gartner’s Hype Cycle is used for the specified tasks, which describes changes in expectations from technologies in the course of a determined period of time from the moment when this technology appears to the moment of its complete development. At that, the results of analysis of literary sources on the explored theme speak about the lack of effective inst
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9

Spruit, Marco, and Tim de Boer. "Business Intelligence as a Service." International Journal of Business Intelligence Research 5, no. 4 (2014): 26–43. http://dx.doi.org/10.4018/ijbir.2014100103.

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Demand for business intelligence (BI) applications continues to grow even at a time when demand for most information technology (IT) products is low, showing the importance of BI products for a modern organization. However, globalization changes the way organizations use BI, where geographic location and time independency is becoming more and more important. Gartner's hype-cycle on BI depicts the technology of BI as a Service as being almost on top of the hype cycle, indicating there are high expectations of this new technology. This research advances on existing literature on business intelli
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Palacios, Marcos, Suzana Barbosa, Fernando Firmino, and Rodrigo Cunha. "Aplicativos jornalísticos vespertinos para tablets. Cartografia do fenômeno ante o desafio de uma produção original e inovadora." Sur le journalisme, About journalism, Sobre jornalismo 3, no. 2 (2014): 40–55. http://dx.doi.org/10.25200/slj.v3.n2.2014.182.

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 Este artigo propõe uma breve cartografia de produtos jornalísticos inovadores criados especialmente para tablets, com o foco em aplicativos (apps) autóctones, mais especificamente aqueles lançados como ‘vespertinos’. O objetivo é problematizar as premissas e promessas iniciais desse novo tipo de produto e contribuir com algumas avaliações preliminares a partir dos Gradientes de Inovação. Utiliza-se o chamado Ciclo de Gartner (Gartner Hype Cycle) como uma metáfora contributiva para a compreensão dos apps autóctones para tablets, seu processo de criação, composição de conteúdos e design.
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Cochrane, Thomas, and Helen Sissons. "An Introduction to Immersive Reality." Pacific Journal of Technology Enhanced Learning 2, no. 1 (2019): 6. http://dx.doi.org/10.24135/pjtel.v2i1.28.

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Immersive reality (XR) encompasses the spectrum of enhancing learning through augmented reality to virtual reality. Although there has been much hype around the transformative potential of AR and VR the adoption of these technologies in higher education learning environments has been limited (Cochrane, 2016). With a lack of models of how to integrate XR in higher education AR has fallen into the trough of disillusionment on the Gartner hype cycle for emerging technologies 2018, while VR is on the ‘slope of enlightenment’ (Daniel, 2018). In response, this workshop will provide participants with
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Rima Aditya, Bayu, and Mary Handoko Wijoyo. "Development IT Adoption Method for E-learning in Merged University." IJAIT (International Journal of Applied Information Technology) 1, no. 02 (2017): 10–17. http://dx.doi.org/10.25124/ijait.v1i02.870.

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This research presents an overview to develop an IT adoption method for e-learning in a Merged University. The development of IT adoption method in the Merged University is done by adjusting the gap between three elements: IT maturity level (in this case IT for elearning), category adopter of each Merged University and IT adoption criteria of individual actors of adoption. The maturity level of IT maturity level refers to Gartner, Hype Cycle, and Priority Matrix. Classification groups refer to adopter categories according to Rogers. The adoption model uses UTAUT model. For the process, a prior
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Lukin, Aleksandr, Galina Demidova, Anton Rassõlkin, Dmitry Lukichev, Toomas Vaimann, and Alecksey Anuchin. "Small Magnus Wind Turbine: Modeling Approaches." Applied Sciences 12, no. 4 (2022): 1884. http://dx.doi.org/10.3390/app12041884.

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Renewables have passed the peak of the inflated expectation hype cycle for emerging technologies, but interest in the design of new energy conversion devices is still high due to widespread distributed energy systems for private households. Magnus effect-based wind turbine combines mechanical and electronic engineering that provides a broader wind speed range and potential maximum power point tracking for deeper grid integration. This paper provides a comparative analysis of Magnus effect-based wind turbine simulation models and the development of the numerical model for the maximum power poin
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Räty, Olle, Hanna Virta, Thomas Bosshard, and Chantal Donnelly. "Regional climate model and model output statistics method uncertainties and the effect of temperature and precipitation on future river discharges in Scandinavia." Hydrology Research 48, no. 5 (2017): 1363–77. http://dx.doi.org/10.2166/nh.2017.127.

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We analyze the importance of regional climate models (GCM-RCMs) and model output statistics (MOS) methods as uncertainty sources for future changes of various hydrological variables in Scandinavia. The Hydrological Predictions for the Environment (HYPE) model, driven with daily mean temperature and precipitation, is used to simulate changes in river discharges and other hydrological components from the present-day climate (1980–2009) to mid-21st century conditions (2041–2070). The results show that GCM-RCM differences explain most of the spread in the simulated changes in the annual mean cycle
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Grattapaglia, Dario. "Twelve Years into Genomic Selection in Forest Trees: Climbing the Slope of Enlightenment of Marker Assisted Tree Breeding." Forests 13, no. 10 (2022): 1554. http://dx.doi.org/10.3390/f13101554.

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Twelve years have passed since the early outlooks of applying genomic selection (GS) to forest tree breeding, initially based on deterministic simulations, soon followed by empirical reports. Given its solid projections for causing a paradigm shift in tree breeding practice in the years to come, GS went from a hot, somewhat hyped, topic to a fast-moving area of applied research and operational implementation worldwide. The hype cycle curve of emerging technologies introduced by Gartner Inc. in 1995, models the path a technology takes in terms of expectations of its value through time. Starting
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16

Ball, Christopher, Kuo-Ting Huang, and Jess Francis-Levin. "Beyond the hype: longitudinal trends in virtual reality perceptions beyond the COVID-19 pandemic." Information Research an international electronic journal 30, iConf (2025): 260–79. https://doi.org/10.47989/ir30iconf47356.

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Introduction. The metaverse is shaped significantly by spatial computing technologies, such as virtual reality (VR). However, the promise of a VR-facilitated metaverse remains unfulfilled, and public perceptions of these technologies are fluid. Therefore, this study investigates perceptions and intentions to use VR over three years, both during and after the COVID-19 pandemic. Method. We conducted three waves of cross-sectional surveys from 2020 to 2022 (N = 928), via Amazon Mechanical Turk. Analysis. Data were analysed using OLS regression and mediation-moderation analysis using Hayes’ PROCES
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17

Calleo, Alberto, Giorgio Casoni, and Flaviano Celaschi. "Strategic use of Design Fiction in Technology Innovation Management." Strategic Design Research Journal 16, no. 2 (2025): 247–55. https://doi.org/10.4013/sdrj.2023.162.03.

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The paper proposes to analyze the role of anticipatory practices in understanding the processes of technological evolution in defining innovation strategies within organizations. To support decision-making processes in technology innovation management, it has proposed that the rapid development of the innovation dynamics of the fourth industrial revolution could be framed through interpretive models such as the Hype Cycle. In order to guide the development processes within organizations, it is argued that it is necessary to further articulate such interpretative model through the development o
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18

Jacobs, Marc. "84 The Adoption of AI in the Core Scientific Cycle of Feed Research." Journal of Animal Science 99, Supplement_3 (2021): 42–43. http://dx.doi.org/10.1093/jas/skab235.074.

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Abstract The Gartner Hype Cycle methodology highlights five self-explanatory steps through which a technological innovation needs to go: (1) innovation trigger, (2) peak of inflated expectations, (3) trough of disillusionment, (4) slope of enlightenment, and (5) plateau of productivity. It is between step 4 and 5 that any tech innovation really starts to commercially pay off. For Artificial Intelligence (AI), the possibilities and challenges are so diverse that several separate cycles now exist for distinct parts of AI development. For the Animal Sciences / Feed industry the application of AI
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19

Pande, Kirti, and Raja K. Gundu. "Challenges and Strategies for Indian IT MNCs in 2010." Foreign Trade Review 37, no. 1-2 (2002): 104–23. http://dx.doi.org/10.1177/0015732515020107.

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IT service providers in India have been increasingly concerned about competitive threat to their export business from emergingfirms in China. The world over competition is being replaced by co-opetition. Competitors are becoming global in their view of service markets and are driven by demand from buyers for dealing with well-known trusted and large service brands. Alliance with Chinese firms will allow scale and risk diversification for Indian vendors to compete as global brands. Opportunity for achieving scale of operations emerge from projections of the Chinese software market size to grow
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20

Maciejczak, Mariusz. "NATURE BASED INNOVATIONS IN THE DEVELOPMENT OF BIOECONOMY." Annals of the Polish Association of Agricultural and Agribusiness Economists XXV, no. 2 (2023): 97–108. http://dx.doi.org/10.5604/01.3001.0053.6818.

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The main purpose of the article was to present the benefits and challenges related to the bioeconomy as a subsector of the economy, as well as the impact of the biological revolution on the bioeconomy. The market readiness of various nature-based innovations in agriculture was also assessed. The bioeconomy was found to be a right path to sustainable development, addressing social and environmental challenges while supporting economic growth. Thus, it determines a more resilient and resource-efficient development. Nature-based innovations harness the power of natures resilience, efficiency and
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21

Metzner, Stephanie, and María D. De-Juan-Vigaray. "The Role of Business Model Innovation in the IT Services Sector: a Comprehensive Mapping Review." European Journal of Management Issues 31, no. 3 (2023): 142–52. http://dx.doi.org/10.15421/192312.

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Purpose: The study analyzes the evolution of Business Model Innovation (BMI) in the IT sector, which is mentioned in many available scientific publications. The major output of this paper is concrete customer requirements that invite business model innovations to managed IT services and challenges to establish corresponding business model innovations.
 Design/Method/Approach: The study identified more than 200 journal articles and conference articles with BMI and IT service providers, and it conducted a mapping review of current research to identify relevant academic theories, implementat
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Zhu, Jiannan, Chao Deng, Jiaofeng Pan, Fu Gu, and Jianfeng Guo. "Feature Distributions of Technologies." Systems 12, no. 8 (2024): 268. http://dx.doi.org/10.3390/systems12080268.

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In this study, we propose a big data-based method for characterizing the feature distributions of multiple technologies within a specific domain. Traditional approaches, such as Gartner’s hype cycle or S-curve model, portray the developmental trajectory of individual technologies. However, these approaches are insufficient to encapsulate the aggregate characteristic distribution of multiple technologies within a specific domain. Thus, this study proposes an innovative method in terms of four proposed features, namely versatility, significance, commerciality, and disruptiveness, to characterize
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23

Upadhayay, Lalit, and Prem Vrat. "Policy boomerang in technical education: a system dynamics perspective." Journal of Advances in Management Research 14, no. 2 (2017): 143–61. http://dx.doi.org/10.1108/jamr-08-2016-0065.

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Purpose The Indian technical education has experienced an exponential growth since 1995. However, the technical education system was not able to sustain it and the enrollments, particularly in engineering, fell down considerably. The purpose of this paper is to analyze the growth of Indian technical education from system dynamics (SD) perspective. Design/methodology/approach Technical education is a complex system in which the outcome of a decision comes with a third order delay. SD is an appropriate tool to analyze the causal structure and behavior of complex systems. This study developed an
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Buchwald, Paweł. "The Use of Metaverse and Virtual Reality Technologies in Educational Initiatives Aimed at Improving Safety in Road Traffic and Tourism Contexts." Safety & Fire Technology 65, no. 1 (2025): 34–41. https://doi.org/10.12845/sft.65.1.2025.3.

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Aim: The article explores the application of virtual reality (VR) and the metaverse environment in education aimed at enhancing safety of road traffic and tourism awareness. The research emphasizes the interconnection between tourism and public safety, particularly in unfamiliar urban or natural environments where tourists are exposed to increased risks due to limited knowledge of local traffic rules and geography. The primary goal of the work is to identify and present the potential of immersive virtual technologies as tools for building competencies in safe behaviour for both everyday road u
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Dagvadorj, Bolormaa, Nasantogtokh Erdenebileg, Enkhmaa Davaasuren, Altantuya Shirchinjav, Enkhtsetseg Jamsranjav, and Otgontsetseg Dagvadorj. "Performance of Ovarian Response Prediction Index As Predictor of Ovarian Response." Central Asian Journal of Medical Sciences 8, no. 2 (2022): 127–34. http://dx.doi.org/10.24079/cajms.2022.06.007.

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Objective: We aimed to evaluate potential predictors of response to controlled ovarian stimulation (COS), including follicle stimulating hormone (FSH), Estradiol, antral follicle count (AFC), and ovarian response prediction index (ORPI). Methods: In this prospective, single center study, we recruited 55 infertile women underwent the first cycle of in vitro fertilization/ intracytoplasmic injection/intrauterine insemination (IVF/ICSI/IUI). We measured serum FSH and anti-mullerian hormone (AMH) level by ELISA and evaluated AFC. In accordance with formula, AMH x AFC / patient's age, ORPI was calc
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Burgoyne, Mark. "Technology Focus: Reservoir Simulation (July 2021)." Journal of Petroleum Technology 73, no. 07 (2021): 43. http://dx.doi.org/10.2118/0721-0043-jpt.

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In reviewing the long list of papers this year, it has become apparent to me that the hot topic in reservoir simulation these days is the application of data analytics or machine learning to numerical simulation and with it quite often the promise of data-driven work flows—code for needing to think about the physics less. Data-driven work flows have their place, especially when we have a lot of data and the system is very complex. I’m thinking shales especially, but seeing it being applied to more conventional reservoirs gave me a moment of pause. I can’t help but think that, in terms of the h
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27

Mladenova, Olga M. "On morphosyntactic change in Bulgarian." Diachronica 26, no. 3 (2009): 408–36. http://dx.doi.org/10.1075/dia.26.3.03mla.

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The existence of a connection between the loss of case inflection and the emergence of overt definiteness in Bulgarian can be supported with arguments of various weight. Among them are: (i) The comparison with parallel developments in Germanic and Romance, (ii) the ability of articles to perpetuate case distinctions after case marking on nouns and adjectives has been obliterated, (iii) their capacity to take over functions formerly performed by case, (iv) the participation of both processes in the analyticity-syntheticity cycle, (v) their involvement in the pendulum between hypo- and hyper-det
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Popkov, Gleb V. "TO THE QUESTION OF FORMING A PARTICULAR THREAT MODEL FOR MULTISERVICE COMMUNICATION NETWORKS." Interexpo GEO-Siberia 8 (May 21, 2021): 332–36. http://dx.doi.org/10.33764/2618-981x-2021-8-332-336.

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The article deals with the issues related to the prospective formation of particular threat models on the network of multiservice communication networks (MCN) resistant to external destructive influences (EDI). To form a threat model, the concept of synthesis of models of the life cycle of MCN networks, ITU-T recommendations of the X.800 series, in particular X.805 [1], an eight-level hyper MCN networks.
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Le Vine, N., A. Butler, N. McIntyre, and C. Jackson. "Diagnosing hydrological limitations of a land surface model: application of JULES to a deep-groundwater chalk basin." Hydrology and Earth System Sciences 20, no. 1 (2016): 143–59. http://dx.doi.org/10.5194/hess-20-143-2016.

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Abstract. Land surface models (LSMs) are prospective starting points to develop a global hyper-resolution model of the terrestrial water, energy, and biogeochemical cycles. However, there are some fundamental limitations of LSMs related to how meaningfully hydrological fluxes and stores are represented. A diagnostic approach to model evaluation and improvement is taken here that exploits hydrological expert knowledge to detect LSM inadequacies through consideration of the major behavioural functions of a hydrological system: overall water balance, vertical water redistribution in the unsaturat
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Le Vine, N., A. Butler, N. McIntyre, and C. Jackson. "Diagnosing hydrological limitations of a Land Surface Model: application of JULES to a deep-groundwater chalk basin." Hydrology and Earth System Sciences Discussions 12, no. 8 (2015): 7541–82. http://dx.doi.org/10.5194/hessd-12-7541-2015.

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Abstract. Land Surface Models (LSMs) are prospective starting points to develop a global hyper-resolution model of the terrestrial water, energy and biogeochemical cycles. However, there are some fundamental limitations of LSMs related to how meaningfully hydrological fluxes and stores are represented. A diagnostic approach to model evaluation is taken here that exploits hydrological expert knowledge to detect LSM inadequacies through consideration of the major behavioural functions of a hydrological system: overall water balance, vertical water redistribution in the unsaturated zone, temporal
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van Jaarsveld, Barry, Niko Wanders, Edwin H. Sutanudjaja, et al. "A first attempt to model global hydrology at hyper-resolution." Earth System Dynamics 16, no. 1 (2025): 29–54. https://doi.org/10.5194/esd-16-29-2025.

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Abstract. Global hydrological models are one of the key tools that can help meet the needs of stakeholders and policy makers when water management strategies and policies are developed. The primary objective of this paper is therefore to establish a first-of-its-kind, truly global hyper-resolution hydrological model that spans a multiple-decade period (1985–2019). To achieve this, two key limitations are addressed, namely the lack of high-resolution meteorological data and insufficient representation of lateral movement of snow and ice. Thus, a novel meteorological downscaling procedure that b
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Amasaka, Kakuro. "An intellectual development production hyper-cycle model – new JIT fundamentals and applications in Toyota." International Journal of Collaborative Enterprise 1, no. 1 (2009): 103. http://dx.doi.org/10.1504/ijcent.2009.026459.

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Mendonça, Fábio, Sheikh Shanawaz Mostafa, Diogo Freitas, Fernando Morgado-Dias, and Antonio G. Ravelo-García. "Heuristic Optimization of Deep and Shallow Classifiers: An Application for Electroencephalogram Cyclic Alternating Pattern Detection." Entropy 24, no. 5 (2022): 688. http://dx.doi.org/10.3390/e24050688.

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Methodologies for automatic non-rapid eye movement and cyclic alternating pattern analysis were proposed to examine the signal from one electroencephalogram monopolar derivation for the A phase, cyclic alternating pattern cycles, and cyclic alternating pattern rate assessments. A population composed of subjects free of neurological disorders and subjects diagnosed with sleep-disordered breathing was studied. Parallel classifications were performed for non-rapid eye movement and A phase estimations, examining a one-dimension convolutional neural network (fed with the electroencephalogram signal
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Iqbal, Anam, Basheer Ahmad, Kanwal Iqbal, and Asad Ali. "Fourier Transformation on Model Fitting for Pakistan Inflation Rate." Business and Economic Research 8, no. 1 (2017): 84. http://dx.doi.org/10.5296/ber.v8i1.12052.

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Inflation is one of the serious economic indicators in Pakistan. Inflation can be crawling, walking, running, hyper and stagflation according to nature. To model monthly inflation rate in Pakistan periodogram analysis and frequency domain analysis which is also known as Fourier analysis or spectral analysis is used. After analyzing the data, inflation cycle length is observed and appropriate Fourier series models are fitted to the data. Monthly inflation rate is also analyzed by Auto Regressive Integrated Moving average (ARIMA). Further, models are compared and it is found that Fourier series
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Lazin, Rehenuma, Xinyi Shen, Marika Koukoula, and Emmanouil Anagnostou. "Evaluation of the Hyper-Resolution Model-Derived Water Cycle Components Over the Upper Blue Nile Basin." Journal of Hydrology 590 (November 2020): 125231. http://dx.doi.org/10.1016/j.jhydrol.2020.125231.

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Pang, Wei, Wei Ping Wang, Wen Hao Zhang, and Xiao Wang. "Modeling and Optimization for Lightweight Design of Aluminum Alloy Wheel Hub." Key Engineering Materials 723 (December 2016): 322–28. http://dx.doi.org/10.4028/www.scientific.net/kem.723.322.

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The excessive increase of fatigue life would lead to wheels getting heavy, which has negative influence in fuel economy, safety and ride comfort of the vehicle. In this paper, the fatigue cycle of aluminum alloy wheel equipped in minibus is calculated firstly under bending, radial, random cycle fatigue conditions. According to the distribution of results, the space parameters of structure optimization are determined. The method combined Latin hyper-cube design and orthogonal experimental design was applied to conduct the design of experiment. The fatigue life of the wheel under the experiment
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Zhou, Shengjie, Tiexi Chen, Ning Zeng, et al. "The Impact of Cropland Abandonment of Post-Soviet Countries on the Terrestrial Carbon Cycle Based on Optimizing the Cropland Distribution Map." Biology 11, no. 5 (2022): 620. http://dx.doi.org/10.3390/biology11050620.

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Land use and cover changes (LUCC) have a fundamental impact on the terrestrial carbon cycle. The abandonment of cropland as a result of the collapse of the Soviet Union offers a typical case of the conversion from cropland to natural vegetation, which could have a significant effect on the terrestrial carbon cycle. Due to the inaccuracy of LUCC records, the corresponding impact on the terrestrial carbon cycle has not been well quantified. In this study, we estimated the carbon flux using the Vegetation-Global-Atmosphere-Soil (VEGAS) model over the region of Russia, Belarus and Ukraine during 1
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Ortega-Salas, A. A., and L. A. Rendón M. "Hyper-intensive farming white shrimp Litopenaeus vannamei (Decapoda: Penaeidae) in a seawater tank under semi-controlled conditions." UNED Research Journal 5, no. 1 (2013): 69–74. http://dx.doi.org/10.22458/urj.v5i1.249.

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Shrimp development to a commercial size in high density culture saves food and avoids predators and disease. Our study was conducted to calculate the growth of white shrimp Litopenaeus vannamei by hyper-intensive cultivation under semi-controlled conditions. We seeded at a density of 550 shrimp per m3 during the first cycle and 400 shrimp per m3 in the second cycle in an outdoor tank of 6m3or 6m2 covered with mesh, constant aeration. The shrimp were fed Artemia franciscana during the first two weeks and camaronina pellets (35% protein) as required, in food baskets, aftterwards. The temperature
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Xie, Xianyang, Shiping Wen, Yuming Feng, and Babatunde Oluwaseun Onasanya. "Three-Stage-Impulse Control of Memristor-Based Chen Hyper-Chaotic System." Mathematics 10, no. 23 (2022): 4560. http://dx.doi.org/10.3390/math10234560.

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In this paper, on the basis of the three-dimensional Chen system, a smooth continuous nonlinear flux-controlled memristor model is used as the positive feedback term of this system, a hyper-chaotic circuit system is successfully constructed, and a simulated equivalent circuit is built for simulation using Multisim software, which agrees with the numerical simulation results by comparison. Meanwhile, a new impulsive control mode called the three-stage-impulse is put forward. It is a cyclic system with three components: continuous inputs are exerted in the first and third parts of the cycle whil
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Е., А. Титаренко. "ГИПЕР- И МЕТАТЕКСТОВЫЕ МАРКЕРЫ В ПРОЗЕ В. ПЕЛЕВИНА (НА МАТЕРИАЛЕ РАННИХ РАССКАЗОВ)". Російська філологія. Вісник Харківського національного педагогічного університету імені Г.С. Сковороди, № 3(58) (8 листопада 2016): 48–52. https://doi.org/10.5281/zenodo.165238.

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The peculiarities of the functioning of the metatextual poetics in the hypertextual unity of V. Pelevin’s prose are considered in the present article. In particular, intertextual connections between V. Pelevin’s stories “Reconstructor (About the P. Stetsjuk’s Researches)”, “Kreger’s Revelation (The Documentation Set)”, “Weapons of Retaliation” and “Music From The Column” are analyzed. Special attention is paid to the question of reflection on language, to the conversation about the linguistic conditionality of the consciousness, to the problem of the fictionalization of history. Just as spaces
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Famiglietti, J. S., B. H. Braswell, and F. Giorgi. "Process controls and similarity in the us continental-scale hydrological cycle from eof analysis of regional climate model simulations." Hydrological Processes 9, no. 3-4 (1995): 437–44. http://dx.doi.org/10.1002/hyp.3360090314.

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Ouzounoglou, Eleftherios, Dimitra Dionysiou, and Georgios S. Stamatakos. "Differentiation resistance through altered retinoblastoma protein function in acute lymphoblastic leukemia: in silico modeling of the deregulations in the G1/S restriction point pathway." BMC Systems Biology 10, no. 1 (2016): 23. https://doi.org/10.1186/s12918-016-0264-5.

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<strong>Background: </strong>As in many cancer types, the G1/S restriction point (RP) is deregulated in Acute Lymphoblastic Leukemia (ALL). Hyper-phosphorylated retinoblastoma protein (hyper-pRb) is found in high levels in ALL cells. Nevertheless, the ALL lymphocyte proliferation rate for the average patient is surprisingly low compared to its normal counterpart of the same maturation level. Additionally, as stated in literature, ALL cells possibly reside at or beyond the RP which is located in the late-G1 phase. This state may favor their differentiation resistant phenotype. A major phenomeno
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Li, Ning, Fuxing He, Wentao Ma, Ruotong Wang, Lin Jiang, and Xiaoping Zhang. "The Identification of ECG Signals Using Wavelet Transform and WOA-PNN." Sensors 22, no. 12 (2022): 4343. http://dx.doi.org/10.3390/s22124343.

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Electrocardiogram (ECG) signal identification technology is rapidly replacing traditional fingerprint, face, iris and other recognition technologies, avoiding the vulnerability of traditional recognition technologies. This paper proposes an ECG signal identification method based on the wavelet transform algorithm and the probabilistic neural network by whale optimization algorithm (WOA-PNN). Firstly, Q, R and S waves are detected by wavelet transform, and the P and T waves are detected by local windowed wavelet transform. The characteristic values are constructed by the detected time points, a
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Dong, Yifeng, Yutong Fu, Chunwang He, and Daining Fang. "A Hyper-Pseudoelastic Model of Cyclic Stress-Softening Effect for Rubber Composites." Polymers 15, no. 14 (2023): 3033. http://dx.doi.org/10.3390/polym15143033.

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Rubber composites are hyperelastic materials with obvious stress-softening effects during the cyclic loading–unloading process. In previous studies, it is hard to obtain the stress responses of rubber composites at arbitrary loading–unloading orders directly. In this paper, a hyper-pseudoelastic model is developed to characterize the cyclic stress-softening effect of rubber composites with a fixed stretch amplitude at arbitrary loading–unloading order. The theoretical relationship between strain energy function and cyclic loading–unloading order is correlated by the hyper-pseudoelastic model d
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Saleh, Mohammed Ali, Mohamed Abdouh, and Mohamed K. Ramadan. "A Novel Method for Improving Baggage Classification Using a Hyper Model of Fusion of DenseNet-161 and EfficientNet-B5." Big Data and Cognitive Computing 8, no. 10 (2024): 135. http://dx.doi.org/10.3390/bdcc8100135.

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In response to rising concerns over crime rates, there has been an increasing demand for automated video surveillance systems that are capable of detecting human activities involving carried objects. This paper proposes a hyper-model ensemble to classify humans carrying baggage based on the type of bags they are carrying. The Fastai framework is leveraged for its computational prowess, user-friendly workflow, and effective data-cleansing capabilities. The PETA dataset is utilized and automatically re-annotated into five classes based on the baggage type, including Carrying Backpack, Carrying L
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Mamo, Tadele, and Fu-Kwun Wang. "Attention-Based Long Short-Term Memory Recurrent Neural Network for Capacity Degradation of Lithium-Ion Batteries." Batteries 7, no. 4 (2021): 66. http://dx.doi.org/10.3390/batteries7040066.

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Monitoring cycle life can provide a prediction of the remaining battery life. To improve the prediction accuracy of lithium-ion battery capacity degradation, we propose a hybrid long short-term memory recurrent neural network model with an attention mechanism. The hyper-parameters of the proposed model are also optimized by a differential evolution algorithm. Using public battery datasets, the proposed model is compared to some published models, and it gives better prediction performance in terms of mean absolute percentage error and root mean square error. In addition, the proposed model can
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Ortega Salas, A. A., and L. A. Rendón M. "Hyper-intensive farming of white shrimp Litopenaeus vannamei in a freshwater tank under semi-controlled conditions (Decapoda: Penaeidae)." UNED Research Journal 5, no. 1 (2013): 63–68. http://dx.doi.org/10.22458/urj.v5i1.200.

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Developing shrimp to a commercial size in a confined freshwater space is important because it saves food and because predators and diseases are avoided. Our study was conducted to calculate the growth of white shrimp Litopenaeus vannamei by hyper-intensive farming in fresh water from 0,5 to 5‰ and under semi-controlled conditions. We seeded at a density of 563 postlarvae/m3 or m2 during the first cycle and 400 postlarvae/m3 in the second cycle in an outdoor pond of 6m3 or m2 covered with a mesh. Aeration was constant, they were fed Daphnia magna during the first two weeks and then camaronina p
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Alsumaiei, Abdullah A. "Utility of Artificial Neural Networks in Modeling Pan Evaporation in Hyper-Arid Climates." Water 12, no. 5 (2020): 1508. http://dx.doi.org/10.3390/w12051508.

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Evaporation is the major water-loss component of the hydrologic cycle and thus requires efficient management. This study aims to model daily pan evaporation rates in hyper-arid climates using artificial neural networks (ANNs). Hyper-arid climates are characterized by harsh environmental conditions where annual precipitation rates do not exceed 3% of annual evaporation rates. For the first time, ANNs were applied to model such climatic conditions in the State of Kuwait. Pan evaporation data from 1993–2015 were normalized to a 0–1 range to boost ANN performance and the ANN structure was optimize
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Alnabhan, Mohammad, Ahmad Khader Habboush, Qasem Abu Al-Haija, Arup Kumar Mohanty, Saumendra Pattnaik, and Binod Kumar Pattanayak. "Hyper-Tuned CNN Using EVO Technique for Efficient Biomedical Image Classification." Mobile Information Systems 2022 (June 22, 2022): 1–12. http://dx.doi.org/10.1155/2022/2123662.

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This research utilizes metaheuristic optimization inspired by the Egyptian Vulture Optimization (EVO) technique. Biomedical image segregation is developed to reduce the complex association of hyperparameters of Convolutional Neural networks (CNN). The complex attributes of CNN include the type of kernel, size of the kernel, size of the batch, epoch counts, momentum, learning rate, activation function, convolution layer, and dropout. However, the life cycle of an Egyptian vulture influences the optimization technique to resolve complexity and increase the accuracy of CNN. The proposed CNN-based
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Wakahara, Taeko, Katsushige Shiraki, and Masakazu Suzuki. "Comparison of runoff characteristics of two adjacent basins in a tropical rainforest using a modified hydrologic cycle model with outflow." Hydrological Processes 28, no. 3 (2012): 509–20. http://dx.doi.org/10.1002/hyp.9602.

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