Relevant bibliographies by topics / Mass and overall dimensional data

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Mass and overall dimensional data'

Author: Grafiati
Published: 28 May 2022
Last updated: 31 July 2025

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Journal articles on the topic "Mass and overall dimensional data"

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Kram, R., B. Wong, and R. J. Full. "Three-dimensional kinematics and limb kinetic energy of running cockroaches." Journal of Experimental Biology 200, no. 13 (1997): 1919–29. http://dx.doi.org/10.1242/jeb.200.13.1919.

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We tested the hypothesis that fast-running hexapeds must generate high levels of kinetic energy to cycle their limbs rapidly compared with bipeds and quadrupeds. We used high-speed video analysis to determine the three-dimensional movements of the limbs and bodies of cockroaches (Blaberus discoidalis) running on a motorized treadmill at 21 cm s-1 using an alternating tripod gait. We combined these kinematic data with morphological data to calculate the mechanical energy produced to move the limbs relative to the overall center of mass and the mechanical energy generated to rotate the body (hea
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Limont, Anatoliy, and Zlata Limont. "The Load-carrying Capacity and Mass and Mass and Dimensional Parameters of Body Machines for Applying Solid Organic Fertilizers." Central Ukrainian Scientific Bulletin. Technical Sciences 2, no. 5(36) (2022): 162–69. http://dx.doi.org/10.32515/2664-262x.2022.5(36).2.162-169.

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The aim of the study was to know the load capacity and weight of body machines for solid organic fertilizers, their overall length, width and height. Based on this knowledge, it is planned to determine the quantitative relationship between the load capacity of machines as a resultant feature and their weight and overall length, width and height, which in the study were considered as factorial features. The initial data on the load capacity and weight of machines and their overall dimensions were selected from the Catalogs of agricultural machinery produced by enterprises in the former Soviet U
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Sulia, Kara J., Jerry Y. Harrington, and Hugh Morrison. "A Method for Adaptive Habit Prediction in Bulk Microphysical Models. Part III: Applications and Studies within a Two-Dimensional Kinematic Model." Journal of the Atmospheric Sciences 70, no. 10 (2013): 3302–20. http://dx.doi.org/10.1175/jas-d-12-0316.1.

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Abstract Arctic mixed-phase clouds are ubiquitous, and the persistence of supercooled liquid is not well understood. Prior studies of mixed-phase clouds predict a single axis length assuming spherical particles or mass–dimensional relationships derived from in situ data. These methods cannot mechanistically evolve particle shape, leading to inaccuracies in estimates of mixed-phase lifetime. Parts I and II of this study report on the development and parcel model testing of an adaptive habit parameterization that predicts two bulk crystal lengths. The method is implemented into a two-dimensional
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Chyu, M. K., and V. Natarajan. "Local Heat/Mass Transfer Distributions on the Surface of a Wall-Mounted Cube." Journal of Heat Transfer 113, no. 4 (1991): 851–57. http://dx.doi.org/10.1115/1.2911213.

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Local mass transfer from the surface of a wall-mounted cube is studied using the naphthalene sublimation technique. The streakline pattern on each face of the cube is visualized using the oil-graphite method. A horseshoe vortex system near the endwall, in conjunction with the separated shear layers initiated at sharp edges, determines the transport characteristics around the cube. As a direct influence of the flow field, the local mass transfer distributions reflect features of three-dimensional flow separation that are significantly different from their two-dimensional counterparts existing i
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Wang, Gang, Yang Zhao, Zeheng Ding, and Xiaohu Zhao. "An Online Calibration Method Based on n-Tuple and Opportunistic Communication for Mine Mass Portable Gas Sensors." Sensors 21, no. 7 (2021): 2451. http://dx.doi.org/10.3390/s21072451.

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Due to the increasing deployment of the Internet of Things (IoT) in the mining industry, portable gas monitoring devices have been widely used. Sensor calibration of large-scale portable gas monitoring devices is becoming an urgent problem to be solved. An online sensor calibration algorithm based on n-tuple and opportunistic communication is proposed based on the specific characteristics (i.e., ‘single-sensor, multi-position’ and ‘multi-sensor, single-position’) of each portable gas monitoring device employed. In this paper, data collected from portable and fixed sensors were defined as multi
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Feng, W., M. P. Chipperfield, S. Dhomse, et al. "Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model." Atmospheric Chemistry and Physics 11, no. 12 (2011): 5783–803. http://dx.doi.org/10.5194/acp-11-5783-2011.

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Abstract. We investigate the performance of cloud convection and tracer transport in a global off-line 3-D chemical transport model. Various model simulations are performed using different meteorological (re)analyses (ERA-40, ECMWF operational and ECMWF Interim) to diagnose the updraft mass flux, convective precipitation and cloud top height. The diagnosed upward mass flux distribution from TOMCAT agrees quite well with the ECMWF reanalysis data (ERA-40 and ERA-Interim) below 200 hPa. Inclusion of midlevel convection improves the agreement at mid-high latitudes. However, the reanalyses show st
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Zhang, Yingying, and Shijie Zhang. "Performance prediction of transonic axial multistage compressor based on one-dimensional meanline method." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 235, no. 6 (2021): 1355–69. http://dx.doi.org/10.1177/0957650921998819.

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This study proposes a 1D meanline program for the modeling of modern transonic axial multistage compressors. In this method, an improved blockage factor model is proposed. Work-done factor that varies with the compressor performance conditions is added in this program, and at the same time a notional blockage factor is kept. The coefficient of deviation angle model is tuned according to experimental data. In addition, two surge methods that originated from different sources are chosen to add in and compare with the new method called mass flow separation method. The salient issues presented her
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Feng, W., M. P. Chipperfield, S. Dhomse, et al. "Evaluation of cloud convection and tracer transport in a three-dimensional chemical transport model." Atmospheric Chemistry and Physics Discussions 10, no. 10 (2010): 22953–91. http://dx.doi.org/10.5194/acpd-10-22953-2010.

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Abstract. We investigate the performance of cloud convection and tracer transport in a global off-line 3-D chemical transport model. Various model simulations are performed using different meteorological (re)analyses (ERA-40, ECMWF operational and ECMWF Interim) to diagnose the updraft mass flux, convective precipitation and cloud top height. The diagnosed upward mass flux distribution from TOMCAT agrees quite well with the ECMWF reanalysis data (ERA-40 and ERA-Interim) below 200 hPa. Inclusion of midlevel convection improves the agreement at mid-high latitudes. However, the reanalyses show st
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Klimm, Florian. "Topological data analysis of truncated contagion maps." Chaos: An Interdisciplinary Journal of Nonlinear Science 32, no. 7 (2022): 073108. http://dx.doi.org/10.1063/5.0090114.

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The investigation of dynamical processes on networks has been one focus for the study of contagion processes. It has been demonstrated that contagions can be used to obtain information about the embedding of nodes in a Euclidean space. Specifically, one can use the activation times of threshold contagions to construct contagion maps as a manifold-learning approach. One drawback of contagion maps is their high computational cost. Here, we demonstrate that a truncation of the threshold contagions may considerably speed up the construction of contagion maps. Finally, we show that contagion maps m
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Sellers, Kimberly F., and Jeffrey C. Miecznikowski. "Feature Detection Techniques for Preprocessing Proteomic Data." International Journal of Biomedical Imaging 2010 (2010): 1–9. http://dx.doi.org/10.1155/2010/896718.

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Numerous gel-based and nongel-based technologies are used to detect protein changes potentially associated with disease. The raw data, however, are abundant with technical and structural complexities, making statistical analysis a difficult task. Low-level analysis issues (including normalization, background correction, gel and/or spectral alignment, feature detection, and image registration) are substantial problems that need to be addressed, because any large-level data analyses are contingent on appropriate and statistically sound low-level procedures. Feature detection approaches are parti
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Dissertations / Theses on the topic "Mass and overall dimensional data"

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Ольштынский, П. Л. "Учет особенностей рабочего процесса направляющего аппарата для повышения технического уровня центробежного насоса". Thesis, Сумский государственный университет, 2016. http://essuir.sumdu.edu.ua/handle/123456789/46026.

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У дисертаційній роботі запропоновано ефективний спосіб підвищення технічного рівня відцентрового насоса за рахунок застосування ступеня з мінімальним діаметральним відносним габаритом, що досягається шляхом використання напрямного апарата з переривчастою перевідною зоною. Основним змістом роботи є дослідження структури течії в елементах напрямного апарата, а також впливу геометричних елементів, що утворюють перевідну зону, на структуру потоку в перевідній зоні та зворотних каналах і на гідравлічні втрати. Дослідження впливу геометричних елементів, що утворюють перевідну зону, на структуру пото
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PIRRO', STEFANO. "HiPPO and Panda: two bioinformatics tools to support analysis of high-dimensional mass cytometry data." Doctoral thesis, Università degli Studi di Roma "Tor Vergata", 2016. http://hdl.handle.net/2108/201732.

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Biological processes are often modulated by the interaction of different cell types, in a complex network of relations and dependencies. For this reason, biological research aims to both increase the number of cellular features that can be surveyed simultaneously and the resolution at which such observations are possible. High-dimensional mass cytometry is particularly well suited to tracking cells in complex tissues because more than 40 parameters can be monitored at the same time, on hundreds of thousands of cells per sample. Several computational approaches have been proposed to reduce the
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Seibert, C., B. R. Davidson, B. J. Fuller, Laurence H. Patterson, W. J. Griffiths, and Y. Wang. "Multiple-approaches to the identification and quantification of cytochromes P450 in human liver tissue by mass spectrometry." 2009. http://hdl.handle.net/10454/6179.

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Here we report the identification and approximate quantification of cytochrome P450 (CYP) proteins in human liver microsomes as determined by nano-LC-MS/MS with application of the exponentially modified protein abundance index (emPAI) algorithm during database searching. Protocols based on 1D-gel protein separation and 2D-LC peptide separation gave comparable results. In total, 18 CYP isoforms were unambiguously identified based on unique peptide matches. Further, we have determined the absolute quantity of two CYP enzymes (2E1 and 1A2) in human liver microsomes using stable-isotope dilution m
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Books on the topic "Mass and overall dimensional data"

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Ciesielska, Dominika, Nicolle Lamerichs, and Agata Zarzycka. Affect in Fandom. Amsterdam University Press, 2025. https://doi.org/10.5117/9789463725668.

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This book provides a timely discussion of the creative practices in fandom and media culture. Within their participatory cultures, fans produce a wealth of content, data and materials. They write fan fiction, curate wikis and design costumes. This international collection offers a diverse exploration of contemporary fan practices through different cases, such as Yuri!!! On ICE, Harry Potter and Mass Effect. This book reveals how expression, emotion and agency are central to fan activity. Fans are highly adept at transmedia, as well as the critical use of different media and platforms. Fandom c
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Trobia, Alberto, and Fabio M. Lo Verde. Italian Amateur Pop-Rock Musicians on Facebook. Edited by Roger Mantie and Gareth Dylan Smith. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190244705.013.8.

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This chapter investigates how and why amateur musicians use social networking sites, employing a mixed-methods approach. Attention is focused on four big Italian Facebook communities of pop-rock musicians: drums, bass, guitar, and keyboard players (overall, 2,101 active users), analyzing the relational and textual data extracted from the web. The chapter analyzes the network structures emerging from the interactions among the users. It also identifies and maps the main areas of discussion (sound shaping, studio recording, marketplace, musical references, computer production, and relations) and
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Hall, Peter. Principal component analysis for functional data. Edited by Frédéric Ferraty and Yves Romain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oxfordhb/9780199568444.013.8.

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This article discusses the methodology and theory of principal component analysis (PCA) for functional data. It first provides an overview of PCA in the context of finite-dimensional data and infinite-dimensional data, focusing on functional linear regression, before considering the applications of PCA for functional data analysis, principally in cases of dimension reduction. It then describes adaptive methods for prediction and weighted least squares in functional linear regression. It also examines the role of principal components in the assessment of density for functional data, showing how
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Rosca, Monica, Sergio Mondillo, and Kim O’Connor. Left atrium. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198726012.003.0022.

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The left atrium (LA) in a close interdependence with the left ventricle plays an essential role in the overall cardiovascular performance. The impact of LA remodelling on prognosis and risk stratification has gathered increasing evidence. With advances in imaging technology, the assessment of LA size and function become more accessible and precise. LA volume provides the most accurate estimate of LA size and superior prognostic information. Accounting for complex geometry and motion, three-dimensional echocardiography emerges as the preferred technique for the assessment of dynamic changes in
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Shapiro, Robert Y. Public Opinion. Edited by Richard Valelly, Suzanne Mettler, and Robert Lieberman. Oxford University Press, 2014. http://dx.doi.org/10.1093/oxfordhb/9780199697915.013.020.

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Public opinion warrants increasing attention in research on American political development. It is central to the study of democratic politics, and it is involved with political processes that are sensitive to time and historical context. It can be studied using the methods of social and political historians and increasingly through data from opinion polls. Studies of democracy in action are arguably the most important, focusing on the causal relationship between public opinion and government policymaking, including the institutional processes and mechanisms that link the two. Given that public
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Kumlin, Staffan, and Achim Goerres. Election Campaigns and Welfare State Change. Oxford University PressOxford, 2022. http://dx.doi.org/10.1093/oso/9780198869214.001.0001.

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Abstract For over three decades, mature European welfare states have been on their way into an austerity phase marked by greater need and more insecure revenues. A number of reform pressures—including population ageing, unemployment, economic globalization, and increased migration—call into question the economic sustainability and normative underpinning of transfer systems and public services. And while welfare states long seemed resilient to growing challenges, it now seems clear that they are changing. This book examines how political leaders and the public respond to reform pressures at a p
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Carl, John D., and Mary D. Looman. A Country Called Prison. 2nd ed. Oxford University PressNew York, 2024. http://dx.doi.org/10.1093/oso/9780197768310.001.0001.

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Abstract In the first edition of A Country Called Prison, John Carl and Mary Looman presented persuasive data calling for downsizing America’s prisons. Their novel approach continues in their second edition, shifting the beliefs many people have about prisons and their role in American society. The analogy of prison as a country is a novel way of looking at the issues of mass incarceration and addressing the latent, long-term consequences. In their second edition, Carl and Looman discuss the significant world events, such as the COVID epidemic, that impacted American society in the past decade
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Book chapters on the topic "Mass and overall dimensional data"

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Cirovic, Branko, Natalie Katzmarski, and Andreas Schlitzer. "Analysis of High-Dimensional Phenotype Data Generated by Mass Cytometry or High-Dimensional Flow Cytometry." In Mass Cytometry. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9454-0_18.

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Hirblinger, Andreas T. "Fighting Hate Speech on Social Media: The Challenge of “Deep Work” in Digital Peacebuilding." In Rethinking Peace and Conflict Studies. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-73917-0_5.

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Abstract The rise in efforts to fight hate speech is representative of the bigger trend of taking peacebuilding online, yet the phenomenon of hate speech clearly predates the internet age. This chapter argues that contemporary efforts struggle to address the deeper drivers of conflict that are also related to hate speech. Hate speech plays a role in inciting mass violence, encouraging extremism, and undermining democracy, but also provides the justifications for maintaining inequality, discrimination, and oppression that often underpin violent conflict. However, efforts to fight hate speech on
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Norton, Sam, and Roslyn Kemp. "Computational Analysis of High-Dimensional Mass Cytometry Data from Clinical Tissue Samples." In Mass Cytometry. Springer New York, 2019. http://dx.doi.org/10.1007/978-1-4939-9454-0_19.

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Suwalska, Aleksandra, Nelita du Plessis-Burger, Gian van der Spuy, and Joanna Polanska. "Comparison of Batch Effect Removal Methods for High Dimensional Mass Cytometry Data." In Bioinformatics and Biomedical Engineering. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-07802-6_34.

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Ahmed, Soha, Mengjie Zhang, and Lifeng Peng. "Feature Selection and Classification of High Dimensional Mass Spectrometry Data: A Genetic Programming Approach." In Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37189-9_5.

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Kaever, Alexander, Manuel Landesfeind, Kirstin Feussner, Ivo Feussner, and Peter Meinicke. "Metabolite Clustering and Visualization of Mass Spectrometry Data Using One-Dimensional Self-Organizing Maps." In The Handbook of Plant Metabolomics. Wiley-VCH Verlag GmbH & Co. KGaA, 2013. http://dx.doi.org/10.1002/9783527669882.ch15.

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Dargaville, R. J., and I. Simmonds. "Calculating CO2 fluxes by data assimilation coupled to a three dimensional mass balance inversion." In Inverse Methods in Global Biogeochemical Cycles. American Geophysical Union, 2000. http://dx.doi.org/10.1029/gm114p0255.

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Zhong, Zicheng. "Development of Pre Drilling In-Situ Rock Mass Shear Measurement System." In Lecture Notes in Civil Engineering. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-97-4355-1_20.

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AbstractIn engineering construction, it is of great significance to calculate the shear strength and internal friction Angle of rock mass. Compared with laboratory test and theoretical analysis, in-situ test can maintain the essential state of rock mass to the maximum extent, and obtain multiple groups of test data conveniently and quickly. The pre drilling in situ rock mass shear measurement system is independently developed. The system is described from the aspects of shear principle, overall design, hardware design and software platform. The system can get the shear strength parameters of r
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Patil, Ankur, Nishtha Jain, Rahul Agrahari, Murhaf Hossari, Fabrizio Orlandi, and Soumyabrata Dev. "A Data-Driven Analysis of Formula 1 Car Races Outcome." In Communications in Computer and Information Science. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26438-2_11.

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AbstractThere are a range of factors that affect the outcome of Formula 1 (F1) car races. Today, it is reasonable to say that F1 races are first won at the factory, and then on the track. F1 teams accumulate enormous amounts of data during races. In this paper, we propose a data-driven approach to identify the most important factors that contribute to the overall points scored by each driver in a F1 season. We perform a correlation analysis along with a principal components analysis (PCA) to identify the factors that are closely related. Furthermore, using PCA, we efficiently reduce our 21 inp
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Bublitz, Enno, and Kai Warsönke. "Enhancing Automotive Production Through Integrated Data Analysis and Simulation." In Zukunftstechnologien für den multifunktionalen Leichtbau. Springer Fachmedien Wiesbaden, 2024. https://doi.org/10.1007/978-3-658-45889-8_8.

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AbstractIn the context of automotive production, the variability in component tolerances poses a significant challenge, often leading to production downtimes. Deviations in dimensional accuracy and geometry can disrupt automated assembly processes, emphasizing the critical link between input quality and assembly outcomes. As automation gains prominence, robust process monitoring becomes imperative for quality assurance and maintenance cycle optimization. However, a prevalent issue persists data fragmentation and underutilization in production. Our approach is centred on leveraging existing pro
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Conference papers on the topic "Mass and overall dimensional data"

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Linke, Simon, Tim Ziemer, Myriam Desainte-Catherine, and Catherine Semal. "SOMson - Sonification of Multidimensional Data in Kohonen Maps." In ICAD 2024: The 29th International Conference on Auditory Display. International Community for Auditory Display, 2024. http://dx.doi.org/10.21785/icad2024.008.

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Kohonen Maps, aka. Self-organizing maps (SOMs) are neural networks that visualize a high-dimensional feature space on a low-dimensional map. While SOMs are an excellent tool for data examination and exploration, they inherently cause a loss of detail. Visualizations of the underlying data do not integrate well and, therefore, fail to provide an overall picture. Consequently, we suggest SOMson, an interactive sonification of the underlying data, as a data augmentation technique. The sonification increases the amount of information provided simultaneously by the SOM. Instead of a user study, we
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Eglite, Irina, and Kaspars Krauklis. "PUBLICATION OF DATA FROM THE LATVIAN REGIONAL HYDROGEOLOGICAL MODEL LAMO4." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/3.2/s11.13.

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Geographic information systems (GIS) are based on the approach of displaying data from individual layers, where a manageable number of geospatial objects are displayed within a single layer. The entire content of a hydrogeological model (HM) can only be partially included within this framework. HM input data and modeling results as layer surface maps are a way to easily, clearly, and simply publish the model content and simulation experiment results. However, this approach is not sufficient for regional HMs. Regional HM data may be of interest not only to specialists in hydrogeology and state
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Mukherjee, Angan, and Debangsu Bhattacharyya. "Development of Steady-State and Dynamic Mass-Energy Constrained Neural Networks using Noisy Transient Data." In Foundations of Computer-Aided Process Design. PSE Press, 2024. http://dx.doi.org/10.69997/sct.127425.

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This paper presents the development of algorithms for mass-energy constrained neural network (MECNN) models that can exactly conserve the overall mass and energy of distributed chemical process systems, even though the noisy steady-state/transient data used for optimal model training violate the same. For developing dynamic mass-energy constrained network models for distributed systems, hybrid series and parallel dynamic-static neural networks are used as candidate architectures. The proposed approaches for solving both the inverse and forward problems are validated considering both steady-sta
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Adsani, E., S. A. Shirazi, J. R. Shadley, and E. F. Rybicki. "Mass Transfer and CO2 Corrosion in Multiphase Flow." In CORROSION 2002. NACE International, 2002. https://doi.org/10.5006/c2002-02492.

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Abstract Mass transfer plays an important roll in the corrosion process due to its strong influence on corrosion rate. Using similarities between heat and mass transfer mechanisms, a new mechanistic model is proposed to predict the mass transfer coefficient for upward two-phase flow. The mechanistic model is evaluated by using water-air heat transfer experimental data obtained from the literature. The mechanistic model is also compared with commonly used empirical correlations. In comparison with available correlations the mechanistic model performs very well for vertical annular flow, bubbly
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Li, Chen, and Jian-jun Liu. "A One-Dimensional Analytical Method for Turbine Blade Preliminary Cooling Design." In ASME Turbo Expo 2016: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2016. http://dx.doi.org/10.1115/gt2016-56783.

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The turbine blade cooling design is a complex procedure including one-dimensional preliminary cooling design, detailed two-dimensional design and fluid network analyses, and three-dimensional conjugate heat transfer and FEM predictions. Frequent alteration and modification of the cooling configurations make it unpractical to obtain all of three-dimensional design results quickly. Preliminary cooling design deals mainly with the coolant requirements and can be knitted into fluid network to look up the expected cooling structural style to promote three-dimensional geometry design. Previous metho
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Whitfield, A., and Abu Hasan Abdullah. "The Application of a Computer-Aided Design Technique to the Conceptual Design of Turbochargers: Part B — Radial Turbine Design." In ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-gt-064.

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A procedure similar to that presented in Part A is described for the non-dimensional design of radial inflow turbines. The technique is developed non-dimensionally to provide the overall dimensions, including the leading and trailing edge blade angles, of radial flow turbine rotors. Consideration of the adoption of non-radial blades at rotor inlet, leading to mixed flow rotors, and discharge swirl is included. The procedure is developed from a knowledge of the non-dimensional power requirement which is derived through the turbocharger matching conditions. To satisfy the matching requirement th
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Newton, Peter, Ricardo Martinez-Botas, and Martin Seiler. "A 3-Dimensional Computational Study of Pulsating Flow Inside a Double Entry Turbine." In ASME Turbo Expo 2014: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/gt2014-26151.

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The double entry turbine contains two different gas entries, each feeding 180° of a single rotor wheel. This geometry can be beneficial for use in turbocharging and is uniquely found in this application. The nature of the turbocharging process means that the double entry turbine will be fed by a highly pulsating flow from the exhaust of an internal combustion engine, most often with out of phase pulsations in each of the two entries. Until now research on the double entry turbine under pulsating flow conditions has been limited to experimental work. Although this is of great value in showing h
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Anthony, Scott, Nusair Hasan, Venkatarao Ganni, and Abraham Engeda. "A One-Dimensional Model of an Oil-Injected Helium Screw Compressor for Cryogenic Refrigeration Systems." In ASME 2024 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2024. https://doi.org/10.1115/imece2024-138176.

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Abstract Oil flooded rotary screw compressors are widely used in the field of helium cryogenics to provide the thermodynamic availability necessary to operate a cryogenic plant. Due to helium’s low normal boiling point (NBP, approximately 4.2 K for helium-4) and its inability to freeze (except at high pressures), helium is the only working fluid that can be used in refrigeration systems where temperatures approaching absolute zero are required. The process of cooling helium from ambient temperature (around 300 K) to its NBP is highly energy intensive. For large and efficient helium refrigerato
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Du, Yang, Tingting Liu, Yiping Dai, Gang Fan, Jiangfeng Wang, and Pan Zhao. "Performance Prediction of a Multi-Stage Ammonia-Water Turbine Under Variable Nozzle Operation via Machine Learning." In ASME Turbo Expo 2021: Turbomachinery Technical Conference and Exposition. American Society of Mechanical Engineers, 2021. http://dx.doi.org/10.1115/gt2021-59615.

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Abstract This study proposes machine learning models to predict the performance of a multi-stage ammonia-water radial turbine using variable nozzle operation under different operating conditions. A 1.2 MW four-stage ammonia-water radial turbine is firstly designed. Then, the one-dimensional off-design simulation model is developed based on the geometric parameters to mainly evaluate the effects of different nozzle outlet angles and turbine inlet temperatures on the turbine performance. A set of data, which consists of 10,000 training points based on one-dimensional model, is used to train the
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Li, Shaoping, Jing Cao, William Wangard, and Ulrich Becker. "Modeling PEMFC With FLUENT: Numerical Performance and Validations With Experimental Data." In ASME 2005 3rd International Conference on Fuel Cell Science, Engineering and Technology. ASMEDC, 2005. http://dx.doi.org/10.1115/fuelcell2005-74059.

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A 3-dimensional, two-phase Computational Fluid Dynamics (CFD) model for PEMFC simulations has been developed and implemented in FLUENT, a general-purpose commercial software package with multi-physics capabilities. The model formulation was given in details in the previous ASME fuel cell conference, together with in-situ distributions of current densities and species concentrations computed for a simple geometry. In this paper, numerical performance of this model in terms of computing time and parallel efficiency are assessed through the computation of a relatively larger-size fuel cell (50 cm
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Reports on the topic "Mass and overall dimensional data"

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Samet, Hanan. Final report on OPTIMASS: optimizing mass storage organization and access for multi-dimensional scientific data. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/765323.

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Anderson, Gerald L., and Kalman Peleg. Precision Cropping by Remotely Sensed Prorotype Plots and Calibration in the Complex Domain. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7585193.bard.

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This research report describes a methodology whereby multi-spectral and hyperspectral imagery from remote sensing, is used for deriving predicted field maps of selected plant growth attributes which are required for precision cropping. A major task in precision cropping is to establish areas of the field that differ from the rest of the field and share a common characteristic. Yield distribution f maps can be prepared by yield monitors, which are available for some harvester types. Other field attributes of interest in precision cropping, e.g. soil properties, leaf Nitrate, biomass etc. are ob
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Roberson, Madeleine, Kathleen Inman, Ashley Carey, Isaac Howard, and Jameson Shannon. Probabilistic neural networks that predict compressive strength of high strength concrete in mass placements using thermal history. Engineer Research and Development Center (U.S.), 2022. http://dx.doi.org/10.21079/11681/44483.

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This study explored the use of artificial neural networks to predict UHPC compressive strengths given thermal history and key mix components. The model developed herein employs Bayesian variational inference using Monte Carlo dropout to convey prediction uncertainty using 735 datapoints on seven UHPC mixtures collected using a variety of techniques. Datapoints contained a measured compressive strength along with three curing inputs (specimen maturity, maximum temperature experienced during curing, time of maximum temperature) and five mixture inputs to distinguish each UHPC mixture (cement typ
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Joshi, Anuradha, Jalia Kangave, and Vanessa van den Boogaard. Engendering Taxation: a Research and Policy Agenda. Institute of Development Studies, 2024. http://dx.doi.org/10.19088/ictd.2024.017.

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Increased attention has been paid to the gender dimensions of taxation in recent years, though there has been limited research on the subject – particularly in lower-income contexts. Understanding how tax policies might affect women in lower-income countries is important at the current time, when governments are looking for new ways to increase domestic revenue – particularly through expanding the tax base. Given that women have historically represented only a small part of the formal workforce in these contexts, a shift towards indirect taxes and taxing the informal economy are likely to have
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Morse, P. D., R. J. H. Parker, S. L. Smith, and W. E. Sladen. Permafrost-related landforms and geotechnical data compilation, Yellowknife to Grays Bay corridor region, Slave Geological Province. Natural Resources Canada/CMSS/Information Management, 2023. http://dx.doi.org/10.4095/332017.

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Permafrost conditions in the Slave Geological province are not well understood. Thaw of permafrost and associated ground ice can reduce ground stability, which modifies terrain and drainage patterns and affects terrestrial and aquatic ecosystems. This presents critical challenges to northern resource development and societies where thaw of ice-rich permafrost negatively affects the integrity of ground-based infrastructure. In an effort to address this knowledge gap, this report presents a digital georeferenced database of landforms identified in permafrost terrain using high-resolution satelli
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Daudelin, Francois, Lina Taing, Lucy Chen, Claudia Abreu Lopes, Adeniyi Francis Fagbamigbe, and Hamid Mehmood. Mapping WASH-related disease risk: A review of risk concepts and methods. United Nations University Institute for Water, Environment and Health, 2021. http://dx.doi.org/10.53328/uxuo4751.

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The report provides a review of how risk is conceived of, modelled, and mapped in studies of infectious water, sanitation, and hygiene (WASH) related diseases. It focuses on spatial epidemiology of cholera, malaria and dengue to offer recommendations for the field of WASH-related disease risk mapping. The report notes a lack of consensus on the definition of disease risk in the literature, which limits the interpretability of the resulting analyses and could affect the quality of the design and direction of public health interventions. In addition, existing risk frameworks that consider diseas
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Malinowski, Owen, Scott Riccardella, and Jason Van Velsor. PR-335-203810-R03 CT Fundamentals with Calibration and Reference Standards for Pipeline Anomaly Detection. Pipeline Research Council International, Inc. (PRCI), 2022. http://dx.doi.org/10.55274/r0012216.

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X-ray Computed Tomography (XRCT) was initially developed and utilized in the medical industry to image the internal structure of the human body. X-ray imaging was conceived and realized at the turn of the 20th century and subsequently, XRCT, was conceived in the middle of the 20th century and its development continues today. Near the end of the 20th century industrial cone beam XRCT for applications such as dimensional metrology branched off, including its use for identifying and dimensioning flaws. XRCT has been utilized successfully for three-dimensional imaging of flaws in the small panel c
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Shumway, Dean A., Kimberly S. Corbin, Magdoleen H. Farah, et al. Partial Breast Irradiation for Breast Cancer. Agency for Healthcare Research and Quality (AHRQ), 2023. http://dx.doi.org/10.23970/ahrqepccer259.

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Objectives. To evaluate the comparative effectiveness and harms of partial breast irradiation (PBI) compared with whole breast irradiation (WBI) for early-stage breast cancer, and how differences in effectiveness and harms may be influenced by patient, tumor, and treatment factors, including treatment modality, target volume, dose, and fractionation. We also evaluated the relative financial toxicity of PBI versus WBI. Data sources. MEDLINE®, Embase®, Cochrane Central Registrar of Controlled Trials, Cochrane Database of Systematic Reviews, Scopus, and various grey literature sources from databa
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Treadwell, Jonathan R., James T. Reston, Benjamin Rouse, Joann Fontanarosa, Neha Patel, and Nikhil K. Mull. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes. Agency for Healthcare Research and Quality (AHRQ), 2021. http://dx.doi.org/10.23970/ahrqepctb38.

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Background. Automated-entry consumer devices that collect and transmit patient-generated health data (PGHD) are being evaluated as potential tools to aid in the management of chronic diseases. The need exists to evaluate the evidence regarding consumer PGHD technologies, particularly for devices that have not gone through Food and Drug Administration evaluation. Purpose. To summarize the research related to automated-entry consumer health technologies that provide PGHD for the prevention or management of 11 chronic diseases. Methods. The project scope was determined through discussions with Ke
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DiDomizio, Matthew, and Jonathan Butta. Measurement of Heat Transfer and Fire Damage Patterns on Walls for Fire Model Validation. UL Research Institutes, 2024. http://dx.doi.org/10.54206/102376/hnkr9109.

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Fire models are presently employed by fire investigators to make predictions of fire dynamics within structures. Predictions include the evolution of gas temperatures and velocities, smoke movement, fire growth and spread, and thermal exposures to surrounding objects, such as walls. Heat flux varies spatially over exposed walls based on the complex thermal interactions within the fire environment, and is the driving factor for thermally induced fire damage. A fire model predicts the temperature and heat transfer through walls based on field predictions, such as radiative and convective heat fl
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