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Academic literature on the topic 'Five Dimensional RS Model'

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Published: 7 September 2023

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Journal articles on the topic "Five Dimensional RS Model"

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Wulandari, Dewi, Triyanta, Jusak S. Kosasih, Douglas Singleton, and Preston Jones. "Localization of interacting fields in five-dimensional braneworld models." International Journal of Modern Physics A 32, no. 32 (November 20, 2017): 1750191. http://dx.doi.org/10.1142/s0217751x17501913.

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We study the localization properties of fundamental fields which are coupled to one another through the gauge mechanism both in the original Randall–Sundrum (RS) and in the modified Randall–Sundrum (MRS) braneworld models: scalar–vector, vector–vector, and spinor–vector configuration systems. For this purpose, we derive conditions of localization, namely, the finiteness of integrals over the extra coordinate in the action of the system considered. We also derive field equations for each of the systems and then obtain their solutions corresponding to the extra dimension by a separation of variable method for every field involved in each system. We then insert the obtained solutions into the conditions of localization to seek whether or not the solutions are in accordance with the conditions of localization. We obtain that not all of the configuration systems considered are localizable on the brane of the original RS model while, on the contrary, they are localizable on the MRS braneworld model with some restrictions. In terms of field localizability on the brane, this result shows that the MRS model is much better than the original RS model.
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de Anda, Francisco J. "Left–right model from gauge-Higgs unification with dark matter." Modern Physics Letters A 30, no. 12 (April 6, 2015): 1550063. http://dx.doi.org/10.1142/s0217732315500637.

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We propose a five-dimensional model based on the idea of Gauge-Higgs Unification (GHU) with the gauge group SO(5) × U(1) in Randall–Sundrum (RS) spacetime. We obtain a left–right (LR) symmetric model with a stable scalar identified as a dark matter candidate. This stable scalar obtains a vacuum expectation value (VEV) that gives mass to fermions in the bulk through the Hosotani Mechanism. There is a scalar localized on a brane and gives contributions to fermion masses. This scalar fits the observed Higgs boson data. We are able to fit all the Standard Model (SM) observables while evading constraints.
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Videla, Nelson, and Grigorios Panotopoulos. "Natural Inflation on the brane with a TeV-scale gravity: Parameter constraints after Planck 2015." International Journal of Modern Physics D 26, no. 07 (December 26, 2016): 1750066. http://dx.doi.org/10.1142/s0218271817500663.

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In the present work, we have studied Natural Inflation (NI) in the framework of the Randall–Sundrum II (RS-II) brane model in the light of the latest Planck results. Adopting the Randall–Sundrum fine-tuning, the model is characterized by three parameters in total, namely the five-dimensional (5D) Planck mass [Formula: see text] and the two mass scales of the inflaton potential [Formula: see text] and [Formula: see text]. We show in the [Formula: see text]–[Formula: see text] plane the theoretical predictions of the model together with the allowed contour plots, and we conclude that the model is viable. By using the Planck results only, it is possible to determine the two mass scales of the inflaton potential in terms of [Formula: see text], which remains undetermined. However, there are several good theoretical reasons to consider a higher-dimensional Planck mass of the order of [Formula: see text][Formula: see text]TeV, which is compatible with primordial nucleosynthesis. If we insist on considering a [Formula: see text] of this order of magnitude, all parameters are known and a sub-Planckian excursion of the inflaton scalar field is achieved.
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Malavasi, Marco, Vojtěch Barták, Tommaso Jucker, Alicia Teresa Rosario Acosta, Maria Laura Carranza, and Manuele Bazzichetto. "Strength in Numbers: Combining Multi-Source Remotely Sensed Data to Model Plant Invasions in Coastal Dune Ecosystems." Remote Sensing 11, no. 3 (January 30, 2019): 275. http://dx.doi.org/10.3390/rs11030275.

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A common feature of most theories of invasion ecology is that the extent and intensity of invasions is driven by a combination of drivers, which can be grouped into three main factors: propagule pressure (P), abiotic drivers (A) and biotic interactions (B). However, teasing apart the relative contribution of P, A and B on Invasive Alien Species (IAS) distributions is typically hampered by a lack of data. We focused on Mediterranean coastal dunes as a model system to test the ability of a combination of multi-source Remote Sensing (RS) data to characterize the distribution of five IAS. Using generalized linear models, we explored and ranked correlates of P, A and B derived from high-resolution optical imagery and three-dimensional (3D) topographic models obtained from LiDAR, along two coastal systems in Central Italy (Lazio and Molise Regions). Predictors from all three factors contributed significantly to explaining the presence of IAS, but their relative importance varied among the two Regions, supporting previous studies suggesting that invasion is a context-dependent process. The use of RS data allowed us to characterize the distribution of IAS across broad, regional scales and to identify coastal sectors that are most likely to be invaded in the future.
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DE LEON, J. PONCE. "VARIATION OF G, Λ(4) AND VACUUM ENERGY FROM BRANE-WORLD MODELS." Modern Physics Letters A 17, no. 37 (December 7, 2002): 2425–41. http://dx.doi.org/10.1142/s0217732302009143.

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In brane-world theory in five dimensions, the bulk metric is usually written in Gaussian coordinates, where g4μ = 0 and g44 = -1. However, the choice g44 = -1 is an external condition, not a requirement of the field equations. In this paper we study the consequences of having g44 = εΦ2, where ε = ±1 and Φ is a scalar function varying with time, [Formula: see text]. This varying field entails the possibility of variable fundamental physical "constants". These variations are different from those predicted in scalar–tensor and multidimensional theories. We solve the five-dimensional equations for a fixed brane and use the brane-world paradigm to determine the fundamental parameters in the theory, which are the vacuum energy σ, the gravitational coupling G and the cosmological term Λ(4). We present specific models where these physical quantities are variable functions of time. Different scenarios are possible but we discuss with some detail a model for which Ġ/G ~ H and Λ(4) ~ H2, which seems to be favored by observations. Our results are not in contradiction to previous ones in the literature. In particular, to those where the brane is described as a domain wall moving in a static Sch–AdS bulk. Indeed these latter models in RS scenarios describe the same space–time as other solutions (with fixed brane) in Gaussian coordinates with [Formula: see text]. We conclude that the introduction of a time-varying Φ in brane-world theory yields a number of models that show variation in the fundamental physical "constants" and exhibit reasonable physical properties.
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Zhou, Zeyu, Wei Tang, Mingyang Li, Wen Cao, and Zhijie Yuan. "A Novel Hybrid Intelligent SOPDEL Model with Comprehensive Data Preprocessing for Long-Time-Series Climate Prediction." Remote Sensing 15, no. 7 (April 6, 2023): 1951. http://dx.doi.org/10.3390/rs15071951.

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Long-time-series climate prediction is of great significance for mitigating disasters; promoting ecological civilization; identifying climate change patterns and preventing floods, drought and typhoons. However, the general public often struggles with the complexity and extensive temporal range of meteorological data when attempting to accurately forecast climate extremes. Sequence disorder, weak robustness, low characteristics and weak interpretability are four prevalent shortcomings in predicting long-time-series data. In order to resolve these deficiencies, our study gives a novel hybrid spatiotemporal model which offers comprehensive data preprocessing techniques, focusing on data decomposition, feature extraction and dimensionality upgrading. This model provides a feasible solution to the puzzling problem of long-term climate prediction. Firstly, we put forward a Period Division Region Segmentation Property Extraction (PD-RS-PE) approach, which divides the data into a stationary series (SS) for an Extreme Learning Machine (ELM) prediction and an oscillatory series (OS) for a Long Short-term Memory (LSTM) prediction to accommodate the changing trend of data sequences. Secondly, a new type of input-output mapping mode in a three-dimensional matrix was constructed to enhance the robustness of the prediction. Thirdly, we implemented a multi-layer technique to extract features of high-speed input data based on a Deep Belief Network (DBN) and Particle Swarm Optimization (PSO) for parameter searching of a neural network, thereby enhancing the overall system’s learning ability. Consequently, by integrating all the above innovative technologies, a novel hybrid SS-OS-PSO-DBN-ELM-LSTME (SOPDEL) model with comprehensive data preprocessing was established to improve the quality of long-time-series forecasting. Five models featuring partial enhancements are discussed in this paper and three state-of-the-art classical models were utilized for comparative experiments. The results demonstrated that the majority of evaluation indices exhibit a significant optimization in the proposed model. Additionally, a relevant evaluation system showed that the quality of “Excellent Prediction” and “Good Prediction” exceeds 90%, and no data with “Bad Prediction” appear, so the accuracy of the prediction process is obviously insured.
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Tawadros, Peter, Mohamed Awadallah, Paul Walker, and Nong Zhang. "Using a low-cost bluetooth torque sensor for vehicle jerk and transient torque measurement." Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering 234, no. 2-3 (July 9, 2019): 423–37. http://dx.doi.org/10.1177/0954407019861613.

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This paper presents the use and development of a specific wireless torque measurement system that is used to obtain the transient torque performance of vehicle transmissions. The torque sensor is strain-based, using surface-mounted strain gauges on a prop shaft. The gauges are connected to a compact printed circuit board, which is clamped to the shaft next to the strain gauges using a three-dimensional printed housing. The printed circuit board contains an amplifier, low-pass filter, analog-to-digital converter, microcontroller and bluetooth transceiver. The printed housing is impact resistant carbon-reinforced nylon and securely retains the printed circuit board and the battery powering the device. The transmitted torque data are received by a transceiver, which is interfaced to a PC through an RS-232 connection. NI LabVIEW is used to process, display and save data. The wireless torque sensor was installed to the Unit Under Test at the output shaft of the five-speed manual transmission. The Unit Under Test was installed on a dynamometer for verification purposes and the transient torque was recorded under various operational conditions. The transient output torque of the manual transmission is measured and compared with results obtained from simulations performed under similar operating conditions. The two sets of transient responses show a good correlation with each other and hence demonstrate that the torque sensor meets the major design specifications. The data obtained will be used to enhance the fidelity of the software model.
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Li, Genyuan, Herschel Rabitz, Jishan Hu, Zheng Chen, and Yiguang Ju. "Regularized random-sampling high dimensional model representation (RS-HDMR)." Journal of Mathematical Chemistry 43, no. 3 (September 1, 2007): 1207–32. http://dx.doi.org/10.1007/s10910-007-9250-x.

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Ishihara, H., A. Tomimatsu, and M. Den. "Pyrgon Annihilation in Five-Dimensional Model Universe." Progress of Theoretical Physics 74, no. 5 (November 1, 1985): 1045–52. http://dx.doi.org/10.1143/ptp.74.1045.

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Mowlana, Hamid. "Human communication theory: a five-dimensional model." Journal of International Communication 25, no. 1 (January 2, 2019): 3–33. http://dx.doi.org/10.1080/13216597.2018.1560351.

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Dissertations / Theses on the topic "Five Dimensional RS Model"

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Gore, Whitney L. "The DSM-5 Dimensional Trait Model and the Five Factor Model." UKnowledge, 2013. http://uknowledge.uky.edu/psychology_etds/12.

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The current thesis tests empirically the relationship of the dimensional trait model proposed for the fifth edition of the American Psychiatric Association’s (APA) Diagnostic and Statistical Manual of Mental Disorders with five-factor models (FFM) of personality disorder (PD). The DSM-5 Personality and Personality Disorders Work Group proposes to diagnose the disorders largely in terms of a 25 trait dimensional model organized within five broad domains (i.e., negative affectivity, detachment, antagonism, disinhibition, and psychoticism). Consistent with the authors of DSM-5, it was predicted that negative affectivity would align with FFM neuroticism, detachment with FFM introversion, antagonism with FFM antagonism, disinhibition with low FFM conscientiousness and, contrary to the authors of DSM-5, psychoticism would align with FFM openness. Suggested changes in trait placements according to FFM of PD research were also tested. Four measures of five factor models of general personality were administered to 445 undergraduates along with the Personality Inventory for DSM-5. The results of the present study provided support for the hypothesis that all five domains of the DSM-5 dimensional trait model are maladaptive variants of general personality structure, including the domain of psychoticism; however, the findings provided mixed support for suggested trait placement changes in the DSM-5 model.
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Presnall-Shvorin, Jennifer R. "THE FIVE-FACTOR OBSESSIVE-COMPULSIVE INVENTORY: AN ITEM RESPONSE THEORY ANALYSIS." UKnowledge, 2015. http://uknowledge.uky.edu/psychology_etds/56.

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Arguments have been made for dimensional models over categorical for the classification of personality disorder, and for the five-factor model (FFM) in particular. A criticism of the FFM of personality disorder is the absence of measures designed to assess pathological personality. Several measures have been developed based on the FFM to assess the maladaptive personality traits included within existing personality disorders. One such example is the Five-Factor Obsessive-Compulsive Inventory (FFOCI). The current study applied item response theory analyses (IRT) to test whether scales of the FFOCI are extreme variants of respective FFM facet scales. It was predicted that both the height and slope of the item-response curves would differ for the conscientiousness-based scales, due to the bias towards assessing high conscientiousness as adaptive in general personality inventories (such as Goldberg’s International Personality Item Pool; IPIP). Alternatively, the remaining FFOCI scales and their IPIP counterparts were predicted to demonstrate no significant differences in IRCs across theta. Nine hundred and seventy-two adults each completed the FFOCI and the IPIP, including 377 undergraduate students and 595 participants recruited online. A portion of the results supported the hypotheses, with select exceptions. Fastidiousness and Workaholism demonstrated the expected trends, with the FFOCI providing higher levels of fidelity at the higher end of theta, and the IPIP demonstrating superior coverage at the lower end of theta. Other conscientiousness scales failed to demonstrate the expected differences at a statistically significant level. In this context, the suitability of IRT in the analysis of rationally-derived, polytomous scales is explored.
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Books on the topic "Five Dimensional RS Model"

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Five-Dimensional Model of the Universe: A Quantum Theory. Wordrunner Press, 2020.

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Widiger, Thomas A., Whitney L. Gore, Cristina Crego, Stephanie L. Rojas, and Joshua R. Oltmanns. Five Factor Model and Personality Disorder. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.4.

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The purpose of this chapter is to provide an overview of the relationship of the Five Factor Model (FFM) to personality disorder. The FFM has traditionally been viewed as a dimensional model of normal personality structure. However, it should probably be viewed as a dimensional model of general personality structure, including maladaptive as well as adaptive personality traits. Discussed herein is the empirical support for the coverage of personality disorders within the FFM; the ability of the FFM to explain the convergence and divergence among personality disorder scales; the relationship of the FFM to the DSM-5 dimensional trait model; the empirical support for maladaptivity within both poles of each FFM domain (focusing in particular on agreeableness, conscientiousness, and openness); and the development of scales for the assessment of maladaptive variants of the FFM.
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Mullins-Sweatt, Stephanie, Douglas B. Samuel, and Ashley Helle. Clinical Utility of the Five Factor Model. Edited by Thomas A. Widiger. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.7.

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The purpose of this chapter is to discuss the clinical utility of the Five Factor Model (FFM). This chapter will consider the clinical application of the FFM for treatment in general, but its primary focus will be on the clinical utility of an FFM of personality disorders. Discussed herein will be the three fundamental components of clinical utility: ease of usage, communication, and treatment planning. Empirical research concerning the clinical utility of the FFM also will be considered in terms of the three components. Finally, research and examination of clincians’ perspectives of the utilty of categorical and dimensional models of personality will be discussed.
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Allik, Jüri, and Anu Realo. Universal and Specific in the Five Factor Model of Personality. Edited by Thomas A. Widiger. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.23.

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Personality psychologists—perhaps even more than in some other disciplines—are deeply interested in what is common to personality descriptions in all cultures and societies. The purpose of this chapter is to discuss the potential universality of the Five Factor Model (FFM) of general personality structure. The chapter begins with a discussion of what is meant, or should be meant, by a universal. Discussed then is the empirical support, as well as the conceptual and empirical difficulty, in establishing universality in personality structure, for the FFM as well as other dimensional models. The chapter then considers different levels of analysis (including cultural and intraindividual analyses), higher-order invariants (including sex differences, age differences, and differences in perspective), and whether mean levels are universal. The chapter concludes with a discussion of the basis for personality universals, as well as addressing the common challenges to universality.
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O'Connor, Brian. Robustness. Edited by Thomas A. Widiger. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199352487.013.19.

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This article examines the effectiveness of the Five Factor Model (FFM) in capturing or duplicating the scales and primary dimensions found in other personality inventories. It considers the robustness—or “comprehensiveness”—of the FFM at both the scale and dimensional structure levels, as well as the nature and extent of the evidence for the FFM as an integrative, organizational framework for other personality tests. “Robustness” here refers to the tendency for the FFM dimensions to keep showing up in a wide range of old and new measures that were designed to assess supposedly unique and important other constructs. This article begins with a review of the primary findings that were reported by O’Connor (2002) before discussing the nature of dimensions in personality psychology data. It then evaluates the robustness of the FFM at the dimensional structure level and suggests directions for further research at the scale and dimensional structure levels.
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Eckle, Hans-Peter. Models of Quantum Matter. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780199678839.001.0001.

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This book focuses on the theory of quantum matter, strongly interacting systems of quantum many–particle physics, particularly on their study using exactly solvable and quantum integrable models with Bethe ansatz methods. Part 1 explores the fundamental methods of statistical physics and quantum many–particle physics required for an understanding of quantum matter. It also presents a selection of the most important model systems to describe quantum matter ranging from the Hubbard model of condensed matter physics to the Rabi model of quantum optics. The remaining five parts of the book examines appropriate special cases of these models with respect to their exact solutions using Bethe ansatz methods for the ground state, finite–size, and finite temperature properties. They also demonstrate the quantum integrability of an exemplary model, the Heisenberg quantum spin chain, within the framework of the quantum inverse scattering method and through the algebraic Bethe ansatz. Further models, whose Bethe ansatz solutions are derived and examined, include the Bose and Fermi gases in one dimension, the one–dimensional Hubbard model, the Kondo model, and the quantum Tavis–Cummings model, the latter a model descendent from the Rabi model.
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Book chapters on the topic "Five Dimensional RS Model"

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Xu, Liren, Jun Cai, Runqiang Chen, Kun Li, Haiyang Sun, and Xingtao Su. "Atmospheric Environment Five Dimensional Representation Model." In Theory, Methodology, Tools and Applications for Modeling and Simulation of Complex Systems, 281–86. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-2663-8_30.

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Islas, Paul Moch, Anne K. Calef, and Cristina Aparicio. "2013 Mexico’s Education Reform: A Multi-dimensional Analysis." In Implementing Deeper Learning and 21st Education Reforms, 79–107. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-57039-2_4.

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Abstract The 2013 education reform to Mexico’s education system had two main goals, one explicit, to improve the quality of education and one implicit, to reassert federal authority over the education sector. Beginning with institutional and political mechanisms that introduced evaluations to the teaching profession, the reform sought a shift in Mexican educational culture. This chapter will begin by analyzing Mexico in international and domestic contexts to understand the urgency of the reform. It will then use Reimers (2020b and 2020c) five perspectives on education change to analyze the reform and evaluate the sequence in which it was implemented. The chapter concludes by outlining the results of the reform to date and summarizing the relationship between the five perspectives. Ultimately, we argue that the initial deprioritization of technical aspects, including pedagogical and curricular ones, stymied the cultural shift towards an educational model grounded in twenty-first century competencies that the reform sought. When coupled with a limited political cycle and uneven implementation at a state level, the reform’s sequence left little time for full implementation of its more pedagogical aspects, such as the new education model, and ultimately faced dramatic reprisal from the new presidential administration.
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Lugovic, Sergej. "Overview of Approaches and Future Challenges for Development of Music Recommendation Socio-Technical Systems." In Advances in Multimedia and Interactive Technologies, 121–45. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-5225-0270-8.ch007.

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This paper analyses the position of music recommendations in the wider context of music information behavior research and proposes five music information behavior dimensions: socio-cognitive information experience, information seeking, information retrieval, recommendations, and content consumption and analysis. It examines different approaches in the development of music recommendation systems (RS) which are applicable to all types of web information resources. These approaches are classified as content-based, collaborative, demographic, knowledge-based, meta-data-based, emotion-based and context-based, while the hybrid approach to RS development combines two or more approaches into one. Also, recent developments in the domain of music recommendations are discussed in detail. Finally, challenges and opportunities for collaboration between the scientific and the commercial communities on the development of new RS models are being explored.
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Lugovic, Sergej. "Overview of Approaches and Future Challenges for Development of Music Recommendation Socio-Technical Systems." In Information Retrieval and Management, 2312–36. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-5191-1.ch103.

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This paper analyses the position of music recommendations in the wider context of music information behavior research and proposes five music information behavior dimensions: socio-cognitive information experience, information seeking, information retrieval, recommendations, and content consumption and analysis. It examines different approaches in the development of music recommendation systems (RS) which are applicable to all types of web information resources. These approaches are classified as content-based, collaborative, demographic, knowledge-based, meta-data-based, emotion-based and context-based, while the hybrid approach to RS development combines two or more approaches into one. Also, recent developments in the domain of music recommendations are discussed in detail. Finally, challenges and opportunities for collaboration between the scientific and the commercial communities on the development of new RS models are being explored.
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Pomarol, Alex, and Andrea Wulzer. "Baryon Physics in a Five-Dimensional Model of Hadrons." In The Multifaceted Skyrmion, 565–94. WORLD SCIENTIFIC, 2016. http://dx.doi.org/10.1142/9789814704410_0023.

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Pomarol, Alex, and Andrea Wulzer. "Baryon Physics in a Five-Dimensional Model of Hadrons." In The Multifaceted Skyrmion, 403–33. WORLD SCIENTIFIC, 2010. http://dx.doi.org/10.1142/9789814280709_0018.

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"The Two-Dimensional CCSMM." In Establishing Cyber Security Programs Through the Community Cyber Security Maturity Model (CCSMM), 32–54. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-4471-6.ch002.

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The community cyber security maturity model (CCSMM) defines four dimensions and five implementation mechanisms in describing the relative maturity of an organization or an SLTT's cybersecurity program. These are used in defining levels of maturity and the cybersecurity characteristics of an organization or SLTT at each level. In order to progress from one level to the next, a variety of activities should take place, and these are defined in terms of five different mechanisms. In between two levels are a variety of activities that should take place to help the entity to advance from one level to the next. These groups of activities describe four phases, each of which takes place between two levels. Thus, Phase 1 defines the activities that should occur for an entity to advance from Level 1 to Level 2.
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White, Gregory B., and Natalie Sjelin. "The Two-Dimensional CCSMM." In Research Anthology on Business Aspects of Cybersecurity, 140–55. IGI Global, 2022. http://dx.doi.org/10.4018/978-1-6684-3698-1.ch006.

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The community cyber security maturity model (CCSMM) defines four dimensions and five implementation mechanisms in describing the relative maturity of an organization or an SLTT's cybersecurity program. These are used in defining levels of maturity and the cybersecurity characteristics of an organization or SLTT at each level. In order to progress from one level to the next, a variety of activities should take place, and these are defined in terms of five different mechanisms. In between two levels are a variety of activities that should take place to help the entity to advance from one level to the next. These groups of activities describe four phases, each of which takes place between two levels. Thus, Phase 1 defines the activities that should occur for an entity to advance from Level 1 to Level 2.
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Santos, José Duarte, José Pita Castelo, and Fernando Almeida. "Critical Success Factors in a Six Dimensional Model CRM Strategy." In Encyclopedia of Organizational Knowledge, Administration, and Technology, 2105–18. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-3473-1.ch145.

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Companies of various sizes and structures have progressively adopted specialized CRM software that aims to capture customer data and prospects, streamline business processes and provide greater visibility for the business. The result of these initiatives has been very heterogeneous and strongly dependent of several factors, such as the experience, partnerships and qualification of the human resources that these companies possess. In this sense, it becomes pertinent to identify the critical success factors for the launching of a CRM strategy. The findings establish a six-dimensional model composed of sixty-five critical factors. These factors and their relationship between them are presented and discussed in this chapter.
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Skodol, Andrew E., and Leslie C. Morey. "Core dimensions of personality pathology." In New Oxford Textbook of Psychiatry, edited by John R. Geddes, Nancy C. Andreasen, and Guy M. Goodwin, 1201–10. Oxford University Press, 2020. http://dx.doi.org/10.1093/med/9780198713005.003.0117.

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This chapter describes the emergence of dimensional models for the classification and diagnosis of personality pathology. Broad personality traits underlie the meta-structure of psychopathology in general and describe the myriad manifestations of personality disorders (PDs) specifically. Domains of personality functioning distinguish personality styles from PD, and PD from other types of psychopathology, and represent the important construct of severity in personality pathology. This chapter describes the alternative Diagnostic and Statistical Manual of Mental Disorders, fifth edition (DSM-5) model for personality disorder (AMPD) and the five-factor model of personality (FFM) by which it was inspired. It summarizes the development and longitudinal course of personality traits, personality functioning, and PD; the relationship of personality and PD with physical health and psychosocial impairment; and the clinical utility of dimensional diagnostic approaches. Finally, it illustrates how traditional DSM subtypes of PD can be rendered according to impairments in personality functioning and pathological personality traits in a ‘hybrid’ dimensional–categorical model.
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Conference papers on the topic "Five Dimensional RS Model"

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Afonin, S. S., David Armstrong, Volker Burkert, Jian-Ping Chen, Will Detmold, Jo Dudek, Wally Melnitchouk, and David Richards. "A five-dimensional effective model for excited light mesons." In 12TH INTERNATIONAL CONFERENCE ON MESON-NUCLEON PHYSICS AND THE STRUCTURE OF THE NUCLEON (MENU 2010). AIP, 2011. http://dx.doi.org/10.1063/1.3647215.

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Afonin, Sergey. "A five-dimensional effective model for excited light mesons." In The XIXth International Workshop on High Energy Physics and Quantum Field Theory. Trieste, Italy: Sissa Medialab, 2011. http://dx.doi.org/10.22323/1.104.0051.

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Li, Hyung-Chul O., Junho Seo, Keetaek Kham, and Seunghyun Lee. "Method of Measuring Subjective 3D Visual Fatigue: A Five-Factor Model." In Digital Holography and Three-Dimensional Imaging. Washington, D.C.: OSA, 2008. http://dx.doi.org/10.1364/dh.2008.dwa5.

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Kusumawinahyu, W. M., and M. R. Hidayatulloh. "Local stability of a five dimensional food chain model in the ocean." In SYMPOSIUM ON BIOMATHEMATICS (SYMOMATH 2013). AIP Publishing LLC, 2014. http://dx.doi.org/10.1063/1.4866535.

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Miller, M., Xiaojiang Feng, Genyuan Li, and H. Rabitz. "Nonlinear bionetwork structure inference using the random sampling-high dimensional model representation (RS-HDMR) algorithm." In 2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2009. http://dx.doi.org/10.1109/iembs.2009.5333798.

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Xiaoyuan, Wang, and He Ming. "The Construction of a Five-dimensional Model of Postgraduate Ideological and Political Education." In Proceedings of the 4th International Conference on Economics, Management, Law and Education (EMLE 2018). Paris, France: Atlantis Press, 2018. http://dx.doi.org/10.2991/emle-18.2018.170.

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Yu, Ke, Zhisheng Zhang, Zhiting Zhou, and Min Dai. "Application of the Five-phase S-curve Velocity Model on FDM Three-dimensional Printer." In 2020 IEEE 5th Information Technology and Mechatronics Engineering Conference (ITOEC). IEEE, 2020. http://dx.doi.org/10.1109/itoec49072.2020.9141587.

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Wang, Liping, and Shuyi Ge. "Dimensional surface error prediction model in five-axis flank milling for thin-walled parts." In 2020 10th Institute of Electrical and Electronics Engineers International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2020. http://dx.doi.org/10.1109/cyber50695.2020.9279151.

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Xie, Jinghai, Jia Guo, Mi Sun, Dongyu Su, Wei Li, Siyuan Chen, and Shaorong Wang. "A digital twin five-dimensional structural model construction method suitable for active distribution network." In 2022 2nd International Conference on Electrical Engineering and Mechatronics Technology (ICEEMT). IEEE, 2022. http://dx.doi.org/10.1109/iceemt56362.2022.9862649.

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Donini, Andrea, Robert J. M. Bastiaans, Jeroen A. van Oijen, and L. Philip H. de Goey. "The Implementation of Five-Dimensional FGM Combustion Model for the Simulation of a Gas Turbine Model Combustor." In ASME Turbo Expo 2015: Turbine Technical Conference and Exposition. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/gt2015-42037.

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Gas turbines are one of the most important energy conversion methods in the world today. This is because using gas turbines, large scale, high efficiency, low cost and low emission energy production is possible. For this type of engines, low pollutants emissions can be achieved by very lean premixed combustion systems. Numerical simulation is foreseen to provide a tremendous increase in gas turbine combustors design efficiency and quality over the next future. However, the numerical simulation of modern stationary gas-turbine combustion systems represents a very challenging task. Several numerical models have been developed in order to reduce the costs of flame simulations for engineering applications. In the present paper the Flamelet-Generated Manifold (FGM) chemistry reduction method is implemented and extended for the inclusion of all the features that are typically observed in stationary gas-turbine combustion. These consist of stratification effects, heat loss and turbulence. The latter is included by coupling FGM with the Reynolds Averaged Navier Stokes (RANS) model. Three control variables are included for the chemistry representation: the reaction evolution is described by the reaction progress variable, the heat loss is described by the enthalpy and the stratification effect is expressed by the mixture fraction. The interaction between chemistry and turbulence is considered through a presumed probability density function (PDF) approach, which is considered for progress variable and mixture fraction. This results in two extra control variables: progress variable variance and mixture fraction variance. The resulting manifold is therefore five-dimensional, in which the dimensions are progress variable, enthalpy, mixture fraction, progress variable variance and mixture fraction variance. A highly turbulent and swirling flame in a gas turbine model combustor is computed in order to test the 5-D FGM implementation. The use of FGM as a combustion model shows that combustion features at gas turbine conditions can be satisfactorily reproduced with a reasonable computational effort. The implemented combustion model retains most of the physical accuracy of a detailed simulation while drastically reducing its computational time, paving the way for new developments of alternative fuel usage in a cleaner and more efficient combustion.
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Reports on the topic "Five Dimensional RS Model"

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Warrick, Arthur W., Gideon Oron, Mary M. Poulton, Rony Wallach, and Alex Furman. Multi-Dimensional Infiltration and Distribution of Water of Different Qualities and Solutes Related Through Artificial Neural Networks. United States Department of Agriculture, January 2009. http://dx.doi.org/10.32747/2009.7695865.bard.

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The project exploits the use of Artificial Neural Networks (ANN) to describe infiltration, water, and solute distribution in the soil during irrigation. It provides a method of simulating water and solute movement in the subsurface which, in principle, is different and has some advantages over the more common approach of numerical modeling of flow and transport equations. The five objectives were (i) Numerically develop a database for the prediction of water and solute distribution for irrigation; (ii) Develop predictive models using ANN; (iii) Develop an experimental (laboratory) database of water distribution with time; within a transparent flow cell by high resolution CCD video camera; (iv) Conduct field studies to provide basic data for developing and testing the ANN; and (v) Investigate the inclusion of water quality [salinity and organic matter (OM)] in an ANN model used for predicting infiltration and subsurface water distribution. A major accomplishment was the successful use of Moment Analysis (MA) to characterize “plumes of water” applied by various types of irrigation (including drip and gravity sources). The general idea is to describe the subsurface water patterns statistically in terms of only a few (often 3) parameters which can then be predicted by the ANN. It was shown that ellipses (in two dimensions) or ellipsoids (in three dimensions) can be depicted about the center of the plume. Any fraction of water added can be related to a ‘‘probability’’ curve relating the size of the ellipse (or ellipsoid) that contains that amount of water. The initial test of an ANN to predict the moments (and hence the water plume) was with numerically generated data for infiltration from surface and subsurface drip line and point sources in three contrasting soils. The underlying dataset consisted of 1,684,500 vectors (5 soils×5 discharge rates×3 initial conditions×1,123 nodes×20 print times) where each vector had eleven elements consisting of initial water content, hydraulic properties of the soil, flow rate, time and space coordinates. The output is an estimate of subsurface water distribution for essentially any soil property, initial condition or flow rate from a drip source. Following the formal development of the ANN, we have prepared a “user-friendly” version in a spreadsheet environment (in “Excel”). The input data are selected from appropriate values and the output is instantaneous resulting in a picture of the resulting water plume. The MA has also proven valuable, on its own merit, in the description of the flow in soil under laboratory conditions for both wettable and repellant soils. This includes non-Darcian flow examples and redistribution and well as infiltration. Field experiments were conducted in different agricultural fields and various water qualities in Israel. The obtained results will be the basis for the further ANN models development. Regions of high repellence were identified primarily under the canopy of various orchard crops, including citrus and persimmons. Also, increasing OM in the applied water lead to greater repellency. Major scientific implications are that the ANN offers an alternative to conventional flow and transport modeling and that MA is a powerful technique for describing the subsurface water distributions for normal (wettable) and repellant soil. Implications of the field measurements point to the special role of OM in affecting wettability, both from the irrigation water and from soil accumulation below canopies. Implications for agriculture are that a modified approach for drip system design should be adopted for open area crops and orchards, and taking into account the OM components both in the soil and in the applied waters.
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DiGrande, Laura, Sue Pedrazzani, Elizabeth Kinyara, Melanie Hymes, Shawn Karns, Donna Rhodes, and Alanna Moshfegh. Field Interviewer– Administered Dietary Recalls in Participants’ Homes: A Feasibility Study Using the US Department of Agriculture’s Automated Multiple-Pass Method. RTI Press, May 2021. http://dx.doi.org/10.3768/rtipress.2021.mr.0045.2105.

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Objective: The purpose of this study was to assess the feasibility of administering the Automated Multiple-Pass Method (AMPM), a widely used tool for collecting 24-hour dietary recalls, in participants’ homes by field interviewers. Design: The design included computer-assisted personal interviews led by either a nutritionist (standard) or field interviewer. Portion estimators tested were a set of three-dimensional food models (standard), a two-dimensional food model booklet, or a tablet with digital images rendered via augmented reality. Setting: Residences in central North Carolina. Participants: English-speaking adults. Pregnant women and individuals who were fasting were excluded. Results: Among 133 interviews, most took place in living rooms (52%) or kitchens (22%). Mean interview time was 40 minutes (range 13–90), with no difference by interviewer type or portion estimator, although timing for nutritionist-led interviews declined significantly over the study period. Forty-five percent of participants referenced items from their homes to facilitate recall and portion estimation. Data entry and post-interview coding was evaluated and determined to be consistent with requirements for the National Health and Nutrition Examination Survey. Values for the number of food items consumed, food groups, energy intake (average of 3,011 kcal for men and 2,105 kcal for women), and key nutrients were determined to be plausible and within reasonably expected ranges regardless of interviewer type or portion estimator used. Conclusions: AMPM dietary recall interviews conducted in the home are feasible and may be preferable to clinical administration because of comfort and the opportunity for participants to access home items for recall. AMPMs administered by field interviewers using the food model booklet produced credible nutrition data that was comparable to AMPMs administered by nutritionists. Training field interviewers in dietary recall and conducting home interviews may be sensible choices for nutrition studies when response rates and cost are concerns.
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