Academic literature on the topic 'Air clusters'

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Journal articles on the topic "Air clusters"

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Wang, Hongyong, Xiaohao Xu, and Yifei Zhao. "Empirical analysis of aircraft clusters in air traffic situation networks." Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering 231, no. 9 (2016): 1718–31. http://dx.doi.org/10.1177/0954410016660870.

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The existing research on air traffic complexity ignores the effects of air traffic situation structure and, thus, cannot reflect the heterogeneous traffic density distribution in airspace. In this study, the structure of air traffic situation was characterized using the idea of community structure in complex networks. An aircraft cluster model was built, and an aircraft cluster discovery method based on depth-first traversal was proposed. The aircraft cluster division effect was comprehensively represented by cluster performance indices, including cohesion and stability. The routinely recorded
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Sobhani, Maliheh, and Mohammad Hossein Mahdieh. "Comparison of sub-micro/nano structure formation on polished silicon surface irradiated by nanosecond laser beam in ambient air and distilled water." Laser and Particle Beams 31, no. 3 (2013): 465–73. http://dx.doi.org/10.1017/s0263034613000438.

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AbstractThis paper compares sub-micro/nano structure formation on polished silicon surface irradiated by nanosecond laser pulses in ambient air and distilled water. Surface cluster density and optical reflectivity of silicon surface (at a typical wavelength of λ = 632 nm) were studied in terms of number of laser pulses and laser fluence. The surface density and optical reflectivity give information on clusters filling factor and clusters height respectively. The results show that the values of surface cluster density and clusters height strongly depend on laser pulse numbers and interacting am
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Kim, Jeonghun, Songmi Lee, Suhong Kim, et al. "Clustering the residential noise in apartment house based on spectral and temporal analysis." INTER-NOISE and NOISE-CON Congress and Conference Proceedings 265, no. 2 (2023): 5702–8. http://dx.doi.org/10.3397/in_2022_0840.

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This study aimed to investigate how the residential noises cluster based on spectral and temporal characteristics of the noises in apartment houses. The type of noise was floor impact, air-borne, plumbing, transmitted outdoor unit of air-conditioner, traffic (road, rail, and air-craft noise), and construction noise. Duration of sound was edited to 5 s and sound pressure level was adjusted to be equal to be 50 dBA. K-means clustering analysis was performed to classify various sound sources, and the elbow method was used to confirm the number of clusters. As a result, residential noise sources w
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Yuan, Xiaoling, Hao Cao, Zheng Chen, Jieyan Xu, and Haoming Liu. "Control Strategy for Building Air Conditioning Cluster Loads Participating in Demand Response Based on Cyber-Physical System." Energies 17, no. 6 (2024): 1291. http://dx.doi.org/10.3390/en17061291.

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In recent years, with rising urbanization and ongoing adjustments in industrial structures, there has been a growing dependence on public buildings. The load of public buildings gradually becomes the main component of the peak load in summer, among which the load of air conditioning is particularly prominent. To clarify the key problems and solutions to these challenges, this study proposes a multi-objective optimization control strategy for building air conditioning cluster participation in demand response based on Cyber-Physical System (CPS) architecture. In a three-layer typical CPS archite
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Azizah, Anestasya Nur, Tatik Widiharih, and Arief Rachman Hakim. "Kernel K-Means Clustering untuk Pengelompokan Sungai di Kota Semarang Berdasarkan Faktor Pencemaran Air." Jurnal Gaussian 11, no. 2 (2022): 228–36. http://dx.doi.org/10.14710/j.gauss.v11i2.35470.

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K-Means Clustering is one of the types of non-hierarchical cluster analysis which is frequently used, but has a weakness in processing data with non-linearly separable (do not have clear boundaries) characteristic and overlapping cluster, that is when visually the results of a cluster are between other clusters. The Gaussian Kernel Function in Kernel K-Means Clustering can be used to solve data with non-linearly separable characteristic and overlapping cluster. The difference between Kernel K-Means Clustering and K-Means lies on the input data that have to be plotted in a new dimension using k
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Zhao, J., J. N. Smith, F. L. Eisele, M. Chen, C. Kuang, and P. H. McMurry. "Observation of neutral sulfuric acid-amine containing clusters in laboratory and ambient measurements." Atmospheric Chemistry and Physics 11, no. 21 (2011): 10823–36. http://dx.doi.org/10.5194/acp-11-10823-2011.

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Abstract. Recent ab initio calculations showed that amines can enhance atmospheric sulfuric acid-water nucleation more effectively than ammonia, and this prediction has been substantiated in laboratory measurements. Laboratory studies have also shown that amines can effectively displace ammonia in several types of ammonium clusters. However, the roles of amines in cluster formation and growth at a microscopic molecular scale (from molecular sizes up to 2 nm) have not yet been well understood. Processes that must be understood include the incorporation of amines into sulfuric acid clusters and
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Munnich, Lee W., and Michael Iacono. "Competitive industry clusters and transportation in Minnesota." Competitiveness Review 26, no. 1 (2016): 25–40. http://dx.doi.org/10.1108/cr-03-2015-0018.

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Purpose – This study aims to advance the state of knowledge of the relationship between transportation and economic development by investigating how firms in competitive industry clusters use transportation networks and what role those networks play in the competitiveness of these clusters. Design/methodology/approach – The approach combines quantitative and qualitative techniques to geographically identify competitive industry clusters and to investigate the role of transportation. The US Cluster Mapping tool is used to identify competitive clusters by employment location quotients in 25 Minn
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Fervers, Béatrice, Camille Giampiccolo, Thomas Coudon, et al. "Joint effects of long-term exposure to multiple air pollutants and breast cancer risk." Journal of Clinical Oncology 42, no. 16_suppl (2024): 10572. http://dx.doi.org/10.1200/jco.2024.42.16_suppl.10572.

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10572 Background: Human exposure to air pollution involves complex mixtures of multiple correlated air pollutants. To date, very few studies have assessed the combined effect of exposure to multiple air pollutants on breast cancer risk. We assessed the joint effects of multiple air pollutants and breast cancer risk. Methods: The study was based on a case-control study nested within the French E3N cohort, involving 5222 incident breast cancer cases and 5222 matched controls. For each woman, the average of the mean annual concentration estimates for eight air pollutants ((benzo(a)pyrene, cadmium
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Zhao, J., J. N. Smith, F. L. Eisele, M. Chen, C. Kuang, and P. H. McMurry. "Observation of neutral sulfuric acid-amine containing clusters in laboratory and ambient measurements." Atmospheric Chemistry and Physics Discussions 11, no. 7 (2011): 19729–68. http://dx.doi.org/10.5194/acpd-11-19729-2011.

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Abstract. Recent ab initio calculations showed that amines can enhance atmospheric sulfuric acid-water nucleation more effectively than ammonia, and this prediction has been substantiated in laboratory measurements. Laboratory studies have also shown that amines can effectively displace ammonia in several types of ammonium clusters. However, the roles of amines in cluster formation and growth at a microscopic molecular scale (from molecular sizes up to 2 nm) have not yet been well understood. Processes that must be understood include the incorporation of amines into sulfuric acid clusters and
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Amazouz, Hélène, Nicolas Bougas, Michel Thibaudon, et al. "Association between lung function of school age children and short-term exposure to air pollution and pollen: the PARIS cohort." Thorax 76, no. 9 (2021): 887–94. http://dx.doi.org/10.1136/thoraxjnl-2020-215515.

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BackgroundDaily levels of ambient air pollution and pollen may affect lung function but have rarely been studied together. We investigated short-term exposure to pollen and air pollution in relation to lung function in school-age children from a French population-based birth cohort.MethodsThis study included 1063 children from the PARIS (Pollution and Asthma Risk: an Infant Study) cohort whose lung function and FeNO measurements were performed at age 8 years old. Exposure data were collected up to 4 days before testing. We estimated daily total pollen concentration, daily allergenic risk indic
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Dissertations / Theses on the topic "Air clusters"

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M, Tymoshenko M., Kovalevska О, Тммошенко Марія Миколаївна, Ковалевська О, Тимошенко Мария Николаевна, and Ковалевская О. "Air clusters: portals between cities, countries and continents." Thesis, Національний авіаційний університет, 2016. http://er.nau.edu.ua/handle/NAU/39495.

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The democratization and the extreme development of air transportation supported by the economic globalization of the 21st. century led to the emergence of air clusters. The term air cluster defines the single format incorporation of a wide variety of infrastructure surrounding an air transport lacility, such as an airport. The cluster incorporates the airport terminals, logistic support buildings, passenger services, aircraft service facilities, rail and road transportation hubs.
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Hergert, Randall J. "Saharan Air Layer Dust Loading: Effects on Convective Strength in Tropical Cloud Clusters." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5882.

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Numerous factors play a role in the development and maintenance of North Atlantic tropical cyclones as they originate and cross the Main Development Region. These factors include sea-surface temperatures (SSTs), relative humidity, vertical wind shear, etc. One key player in many of these factors is the Saharan Air Layer (SAL) which has been a source for study for nearly five decades. The interplay between dust loading within the SAL and the development of African Easterly Waves (AEWs) has been repeatedly noted in many of the studies in this field. The cumulative indirect effect of the dust on
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Williams, John Peter. "Long-range transport clusters, fine particulate matter (PM2.5) and soot concentrations of air masses in Cape Town, South Africa." University of the Western Cape, 2018. http://hdl.handle.net/11394/6560.

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>Magister Scientiae - MSc<br>Ambient air pollution is the biggest environmental threat to human health. According to the World Health Organisation (WHO), ambient air pollution kills millions of people worldwide every year. Airborne particulate matter (APM) affects more people than any other air pollutant and has been linked with various adverse health outcomes, especially fine fractions (commonly abbreviated to PM2.5). PM2.5 penetrates lung tissue to enter the cardiovascular system where it poses the greatest risk. Detailed ambient APM studies are rare in Africa. Such studies are needed to bet
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Tsui, Ka-cheung. "Neighborhood ventilation of a building cluster by combined forces." Click to view the E-thesis via HKUTO, 2008. http://sunzi.lib.hku.hk/hkuto/record/B42182128.

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Chan, Sik-foon Joyce. "Application of cluster analysis to identify sources of particulate matter in Hong Kong /." Hong Kong : University of Hong Kong, 1995. http://sunzi.lib.hku.hk/hkuto/record.jsp?B1470920X.

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Rancière, Fanny. "Phénotypes respiratoires et allergiques chez l'enfant jusqu'à l'âge de 4 ans en relation avec son environnement de vie : étude de la cohorte de naissance PARIS." Thesis, Paris 5, 2013. http://www.theses.fr/2013PA05S006.

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Contexte: La compréhension de l’histoire naturelle de l’asthme et des allergies au cours de la petite enfance est encore parcellaire. De plus, il persiste encore des incertitudes quant à la contribution des facteurs comportementaux et environnementaux au développement de ces maladies. Objectifs: 1) Etudier l’histoire naturelle des symptômes respiratoires et allergiques chez l’enfant de 0 à 4 ans en identifiant des phénotypes basés sur ces symptômes par des analyses de cluster, 2) Caractériser ces phénotypes au regard de leurs co-morbidités et de leurs facteurs de risque, en particulier ceux li
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Tsui, Ka-cheung, and 徐家祥. "Neighborhood ventilation of a building cluster by combined forces." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2008. http://hub.hku.hk/bib/B42182128.

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Antoine, Melissa K. "Transport characteristics and regional source assessment of PM₂₅̣ in Atlanta : cluster analysis and potential source contribution function analysis." Thesis, Georgia Institute of Technology, 2002. http://hdl.handle.net/1853/21637.

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Gegov, Emil. "Cluster damage robustness analysis and space independent community detection in complex networks." Thesis, Brunel University, 2012. http://bura.brunel.ac.uk/handle/2438/7245.

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This thesis investigates the evolution of two very different complex systems using network theory. This multi-disciplinary technique is widely used to model and analyse vastly diverse systems of multiple interacting components, and therefore, it is applied in this thesis to study the complexity of the systems. This complexity is rooted in the components’ interactions such that the whole system is more than the sum of all the individual parts. The first novelty in this research is the proposal of a new type of structural perturbation, cluster damage, for measuring another dimension of network r
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Chan, Sik-foon Joyce, and 陳錫歡. "Application of cluster analysis to identify sources of particulate matter in Hong Kong." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1995. http://hub.hku.hk/bib/B31253076.

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Books on the topic "Air clusters"

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Hosker, Rayford P. Flow and dispersion near clusters of buildings. U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, Environmental Research Laboratories, Air Resources Laboratory, 1987.

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Alley, William E. Classification of Air Force jobs into aptitude clusters. Air Force Human Resources Laboratory, Air Force Systems Command, 1988.

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C, Daniel Charles, United States Marine Corps, and Geological Survey (U.S.), eds. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Dept. of the Interior, U.S. Geological Survey, 1990.

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Murray, Louis C. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Dept. of the Interior, U.S. Geological Survey, 1990.

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Murray, Louis C. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Dept. of the Interior, U.S. Geological Survey, 1990.

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C, Daniel Charles, United States Marine Corps, and Geological Survey (U.S.), eds. Hydrogeologic and water-quality data from well clusters near the wastewater-treatment plant, U.S. Marine Corps Air Station, Cherry Point, North Carolina. Dept. of the Interior, U.S. Geological Survey, 1990.

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1941-, Suzuki Motoyuki, ed. Fundamentals of adsorption: Proceedings of the Fourth International Conference on Fundamentals of Adsorption, Kyoto, May 17-22, 1992. Kodansha, 1993.

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Quintero, Dino. Cluster Systems Management cookbook for pSeries. 2nd ed. IBM, 2004.

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Dorling, Stephen R. Cluster analysis and the meteological controls on air and precipitation chemistry in north-west Europe. University of East Anglia, 1992.

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Grigor'ev, Anatoliy, and Evgeniy Isaev. Methods and algorithms of data processing. INFRA-M Academic Publishing LLC., 2020. http://dx.doi.org/10.12737/1032305.

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The tutorial deals with selected methods and algorithms of data processing, the sequence of solving problems of processing and analysis of data to create models behavior of the object taking into account all the components of its mathematical model. Describes the types of technological methods for the use of software and hardware for solving problems in this area. The algorithms of distributions, regressions vremenny series, transform them with the aim of obtaining mathematical models and prediction of the behavior information and economic systems (objects).&#x0D; The second edition is supplem
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Book chapters on the topic "Air clusters"

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Nakayama, Tomoo, Akio Nakahara, and Mitsugu Matsushita. "Cluster-Cluster Aggregation of Calcium Carbonate at the Air/Water Interface." In Mesoscopic Materials and Clusters. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/978-3-662-08674-2_15.

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Gitahi, Joseph, and Michael Hahn. "Evaluation of Crowd-Sourced PM2.5 Measurements from Low-Cost Sensors for Air Quality Mapping in Stuttgart City." In iCity. Transformative Research for the Livable, Intelligent, and Sustainable City. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-92096-8_14.

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AbstractExposure to particulate matter (PM) pollution poses a major risk to the environment and human health. Monitoring PM pollution is thus crucial to understand particle distribution and mitigation. There has been rapid development of low-cost PM sensors and advancement in the field of Internet of Things (IoT) that has led to the deployment of the sensors by technology-aware people in cities. In this study, we evaluate the stability and accuracy of PM measurements from low-cost sensors crowd-sourced from a citizen science project in Stuttgart. Long-term measurements from the sensors show a
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Barrientos, Armando. "Clusters." In Social Protection in Latin America. Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-49795-7_8.

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AbstractThe chapter studies differences and similarities in social protection institutions across countries in the region with the aim of identifying country groupings or clusters. The methodological approach implemented was borrowed from the literature in social policy regimes. The grouping of countries is based on the causal outcomes of social protection institutions—employment, protection, and incorporation—and repeated for the periods associated with institutional development. The results largely confirm the findings in the social policy regime literature. There are three main clusters of
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Olson, David L., Desheng Dash Wu, Cuicui Luo, and Majid Nabavi. "Cluster Analysis." In AI for Risks. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4772-6_5.

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Tomasulo, Antonietta, and Mushti V. Ramakrishna. "Computational studies of small (AIP) N clusters." In Small Particles and Inorganic Clusters. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/978-3-642-60854-4_115.

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Shilpa, H. L., P. G. Lavanya, and Suresha Mallappa. "Cluster-Based Prediction of Air Quality Index." In Evolutionary Computing and Mobile Sustainable Networks. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-5258-8_83.

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Rehm, Frank, Frank Klawonn, and Rudolf Kruse. "Single Cluster Visualization to Optimize Air Traffic Management." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-70981-7_36.

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Suárez, Daniel, Francisco Almeida, Vicente Blanco, and Pedro Toledo. "Containerization for Heterogeneous and Hybrid Parallelism." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-90200-0_36.

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Abstract This paper investigates the viability and efficiency of parameter search for machine learning (ML) pipelines through containerization in diverse computational environments. We leverage parallelization by executing each test in the grid search as an independent container, allowing for scalable and efficient parameter tuning. Our study encompasses a detailed comparison of energy efficiency, power consumption, and execution times between two distinct setups. The first setup comprises a cluster of eight Raspberry Pi Compute Module 4 units integrated into two Turing Pi boards, each housing
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Todorovic, Natalija, Benedetto Lepori, and Andrea Rocci. "Chapter 1. Plural conversations about argumentation." In Argumentation in Context. John Benjamins Publishing Company, 2024. http://dx.doi.org/10.1075/aic.22.01tod.

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Argumentation studies are an area of inquiry with important interdisciplinary appeal. As such, the word argumentation is used in communities with diverse perspectives and approaches. In this work we apply bibliometric and corpus analysis to identify the semantic content of the “scientific conversations” about argumentation on dataset containing 10,000 scientific publications. We focus on outlets of publication of those documents to map the cognitive structure of the field and use results as a seed for a linguistic analysis of discourse about argumentation in full-text documents’ relevant for e
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Summa, Mireille Gettler, Emmanuel Périnel, and Jocelyne Ferraris. "Automatic Aid to Symbolic Cluster Interpretation." In New Approaches in Classification and Data Analysis. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-642-51175-2_46.

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Conference papers on the topic "Air clusters"

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Liu, Jingyu, Chuan He, Yanghui Ding, and Jun Tan. "Research on the Assessment of Potential and Scheduling Strategy for Air Conditioning Load Clusters Aggregation Response Considering Users' Comfort." In 2025 7th Asia Energy and Electrical Engineering Symposium (AEEES). IEEE, 2025. https://doi.org/10.1109/aeees64634.2025.11020221.

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Curtin, Thomas, Sharon Mellings, Ivan Karayan, Robert Adey, Joe Indeck, and Ethan Moore. "Fatigue Loading of Test Specimens with Galvanically Induced Corrosion Damage Provides New Insight to Guide Fracture Mechanics Modeling." In CONFERENCE 2024. AMPP, 2024. https://doi.org/10.5006/c2024-20989.

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Abstract Airframe structural components commonly experience galvanic damage at dissimilar metal connections following deterioration of insulating sealants or breakdown in coating protection systems. Of particular concern is the often-hidden corrosion damage that occurs inside fastener holes. Aggressive electrolytes can develop in these occluded spaces leading to the formation of multiple crack initiation sites and a compromise in the structural integrity of the component. To investigate this type of damage, laboratory testing was undertaken to evaluate fatigue life in AA 7075-T651 dog-bone spe
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Martinez, Dave, David Sickinger, and Aaron Andersen. "“How-to” Guide for Transitioning from Air to Liquid-Cooled High Performance Computing Systems." In 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). IEEE, 2024. http://dx.doi.org/10.1109/clusterworkshops61563.2024.00013.

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Bi, Chongke, Fumiyoshi Shoji, Kenji Ono, et al. "Enhanced Simulation and Analysis of Air Pollutants Using Multi-Platform HPC and In-Situ Visualization." In 2024 IEEE International Conference on Cluster Computing Workshops (CLUSTER Workshops). IEEE, 2024. http://dx.doi.org/10.1109/clusterworkshops61563.2024.00058.

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Strandenes, Sverre, Svein Vaage, Gitta Zaalberg‐Metselaar, and Audun Sodal. "Comparison of air‐gun clusters." In SEG Technical Program Expanded Abstracts 1991. Society of Exploration Geophysicists, 1991. http://dx.doi.org/10.1190/1.1888893.

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Gopalakrishnan, Karthik, Hamsa Balakrishnan, and Richard Jordan. "Clusters and communities in air traffic delay networks." In 2016 American Control Conference (ACC). IEEE, 2016. http://dx.doi.org/10.1109/acc.2016.7525502.

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PILECKA, Jovita, Inga GRINFELDE, Inga STRAUPE, and Oskars PURMALIS. "THE ANTHROPOGENIC AIR POLLUTION SOURCE IDENTIFICATION IN URBAN AREAS USING SNOW SAMPLING." In RURAL DEVELOPMENT. Aleksandras Stulginskis University, 2018. http://dx.doi.org/10.15544/rd.2017.180.

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The anthropogenic sources of air pollution such as transport, energetics, household heating and industry generate different trace element footprint. The urban planning is one of tool to reduce air pollution with trace elements. The aim of this study is to identify air pollution sources in Jelgava city using trace elements. The snow sampling were collected during January and February 2017. The January snow samples characterise average Jelgava city air pollution. However, February characterises intensive tourism impact on total air quality of Jelgava city. The snow samples were analysed using in
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Kipouros, Timoleon, Massimiliano Molinari, William N. Dawes, Geoffrey T. Parks, Mark Savill, and Karl W. Jenkins. "An Investigation of the Potential for Enhancing the Computational Turbomachinery Design Cycle Using Surrogate Models and High Performance Parallelisation." In ASME Turbo Expo 2007: Power for Land, Sea, and Air. ASMEDC, 2007. http://dx.doi.org/10.1115/gt2007-28106.

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This paper describes the deployment of supplementary tools to the modern industrial aerodynamic design cycle in the context of multi-objective optimisation. The benefits arising through the use of these tools are demonstrated through a single-row stator compressor test case, minimising two of the flow characteristics most critical to the efficiency of the turbomachine: blockage and entropy generation rate. The automatic integrated design system used, MOBOS3D, is equipped with an application-specific optimiser and a RBF surrogate model, in order to decrease the computational cost of the design
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Berezinsky, V. S., and P. Blasi. "Low frequency radio radiation from clusters of galaxies." In WORKSHOP ON OBSERVING GIANT COSMIC RAY AIR SHOWERS FROM >1020 eV Particles from Space. ASCE, 1998. http://dx.doi.org/10.1063/1.56124.

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Bezyazeekov, Pavel, Oleg Fedorov, Yulia Kazarina, et al. "Efficiency estimation of self-triggered antenna clusters for air-shower detection." In 37th International Cosmic Ray Conference. Sissa Medialab, 2021. http://dx.doi.org/10.22323/1.395.0273.

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Reports on the topic "Air clusters"

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Rabellotti, Roberta, and Elisa Conz. Mainstreaming the Cluster Approach in the Caribbean Region: The CCPF Cluster Capacity Building Initiative. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0004771.

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In the Caribbean region, clusters hold tremendous potential because of the predominance of small and micro enterprises, their weak link in value chains and the scarcity of specialized inputs. The Compete Caribbean Partnership Facility (CCPF) has backed a capacity-building campaign for the cluster approach with the aim of mainstreaming cluster interventions in the region. This report explores how the process of mainstreaming is taking shape among those business support organizations (BSOs) involved in the CCPF project, currently involved in the implementation of cluster projects. The study addr
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ARMY RESEARCH LAB ABERDEEN PROVING GROUND MD. Work Implementation Plan for a Demonstration of Intrinsic Remediation of Chlorinated Solvents at Investigation Clusters 17, 19. and 21, McClellan Air Force Base, California. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada386663.

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Rodríguez-Clare, Andrés. Coordination Failures, Clusters and Microeconomic Interventions. Inter-American Development Bank, 2005. http://dx.doi.org/10.18235/0010959.

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This paper discusses coordination failures, their relevance to developing countries, and the circumstances under which they occur, arguing that that clusters can be seen as agglomerations of firms and organizations in related economic activities among which coordination failures are likely to arise. In other words, clusters provide opportunities for microeconomic interventions that promote coordination and collective action to improve productivity. Subsequently presented is a model of a small economy plagued by sector or cluster-specific coordination failures, which demonstrates that policy sh
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Stucchi, Rodolfo, Alessandro Maffioli, Manuel Pacheco, Carlo Pietrobelli, and Elisa Giuliani. Evaluating the Impact of Cluster Development Programs. Inter-American Development Bank, 2013. http://dx.doi.org/10.18235/0009122.

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Do the programs that aim to promote and develop industry clusters (also known as Cluster Development Programs) work? Do they have an impact on enterprise development? This paper offers an insight into the methods that can help answer these fundamental questions through solid quantitative evidence. In general, results will depend on the level of coordination that is achieved and on the actions undertaken as a result of improved coordination and strategy-setting of the relevant actors.
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Canto, Patricia, ed. Lessons to be learnt for initiatives to promote cross-border collaboration: an experience in the New Aquitaine-Euskadi-Navarre euroregion. Universidad de Deusto, 2022. http://dx.doi.org/10.18543/xjrt7954.

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The aim of this report is to identify lessons for organisations that promote cross-border cooperation initiatives for innovation and for those interested in taking part in them. The study analyses how the organisations with a medium-term track record in the New Aquitaine-Euskadi-Navarre cross-border cluster grouping behave in terms of cross-border cooperation and innovation. This analysis is based on a survey carried out among the Klusteuro organisations (network of cross-border clusters in the New Aquitaine, the Basque Country and Navarre Euroregion). The study examines the importance given b
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Hargus, W. A., Reed Jr, and G. The Air Force Clustered Hall Thruster Program. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada406805.

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Kauppinen, Timo, Markku Hienonen, and Filip Fedorik. The co-operation between the University and the Industry association in the application of building physics results to practice. Department of the Built Environment, 2023. http://dx.doi.org/10.54337/aau541651956.

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Indoor air questions in Finland have been constantly featured in the media. There are indoor quality deficiencies, not only in existing as well as in new buildings. The problems of indoor conditions can be divided into those caused by design, implementation and use. At the civil engineering department, University of Oulu, you can now specialize in building health. This is a new orientation option, which can be studied at the University of Oulu only. Arctic Construction Cluster Finland was established to restart the once-abolished civil engineering department. The cluster represents all branche
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Puglisi, Anna, and Daniel Chou. China’s Industrial Clusters: Building AI-Driven Bio-Discovery Capacity. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20220012.

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China is banking on applying AI to biotechnology research in order to transform itself into a “biotech superpower.” In pursuit of that goal, it has emphasized bringing together different aspects of the development cycle to foster multidisciplinary research. This data brief examines the emerging trend of co-location of AI and biotechnology researchers and explores the potential impact it will have on this growing field.
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Canto, Patricia, ed. A participatory methodology for evaluating the cluster policy of the Basque Country. Universidad de Deusto, 2011. http://dx.doi.org/10.18543/nmti9154.

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Cluster policies have become a consolidated tool among regional policies, and albeit their growing presence there remains scepticism around the way in which the cluster concept is often treated as a policy panacea. Indeed, the evaluation of cluster policies is a critical yet under-examined issue. In Spain, the Basque Country Autonomous Community, was one of the pioneers of regional cluster policy, and in recent years various evaluations have been made of different aspects of the policy. Yet it has proved challenging to undertake a holistic evaluation in terms of the success of the policy in ac
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Toner, Helen, and Ashwin Acharya. Exploring Clusters of Research in Three Areas of AI Safety. Center for Security and Emerging Technology, 2022. http://dx.doi.org/10.51593/20210026.

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Problems of AI safety are the subject of increasing interest for engineers and policymakers alike. This brief uses the CSET Map of Science to investigate how research into three areas of AI safety — robustness, interpretability and reward learning — is progressing. It identifies eight research clusters that contain a significant amount of research relating to these three areas and describes trends and key papers for each of them.
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