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Journal articles on the topic 'P factor'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Caspi, Avshalom, Renate M. Houts, Daniel W. Belsky, Sidra J. Goldman-Mellor, HonaLee Harrington, Salomon Israel, Madeline H. Meier, et al. "The p Factor." Clinical Psychological Science 2, no. 2 (August 14, 2013): 119–37. http://dx.doi.org/10.1177/2167702613497473.

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2

Wu, Shang-Xian, Yiu-Wing Mai, and Brian Cotterell. "Plastic ?-factor (? p )." International Journal of Fracture 45, no. 1 (September 1990): 1–18. http://dx.doi.org/10.1007/bf00012606.

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3

Hummels, Katherine R., and Daniel B. Kearns. "Translation elongation factor P (EF-P)." FEMS Microbiology Reviews 44, no. 2 (February 3, 2020): 208–18. http://dx.doi.org/10.1093/femsre/fuaa003.

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ABSTRACT Translation elongation factor P (EF-P) is conserved in all three domains of life (called eIF5A and aIF5A in eukaryotes and archaea, respectively) and functions to alleviate ribosome pausing during the translation of specific sequences, including consecutive proline residues. EF-P was identified in 1975 as a factor that stimulated the peptidyltransferase reaction in vitro but its involvement in the translation of tandem proline residues was not uncovered until 2013. Throughout the four decades of EF-P research, perceptions of EF-P function have changed dramatically. In particular, while EF-P was thought to potentiate the formation of the first peptide bond in a protein, it is now broadly accepted to act throughout translation elongation. Further, EF-P was initially reported to be essential, but recent work has shown that the requirement of EF-P for growth is conditional. Finally, it is thought that post-translational modification of EF-P is strictly required for its function but recent studies suggest that EF-P modification may play a more nuanced role in EF-P activity. Here, we review the history of EF-P research, with an emphasis on its initial isolation and characterization as well as the discoveries that altered our perceptions of its function.

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4

Zhang, Heping, and Shan Zhou. "Characterizations for P≥2-factor and P≥3-factor covered graphs." Discrete Mathematics 309, no. 8 (April 2009): 2067–76. http://dx.doi.org/10.1016/j.disc.2008.04.022.

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5

Carter, Natalie J., and Lesley J. Scott. "Human Plasma von Willebrand Factor/Factor VIII Complex (Haemate?? P/Humate-P??)." Drugs 67, no. 10 (2007): 1513–19. http://dx.doi.org/10.2165/00003495-200767100-00009.

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6

Zhou, Sizhong, and Zhiren Sun. "Binding number conditions for P≥2-factor and P≥3-factor uniform graphs." Discrete Mathematics 343, no. 3 (March 2020): 111715. http://dx.doi.org/10.1016/j.disc.2019.111715.

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7

Reginald, BernardAjay. "Misguided by the "P" factor." Journal of Education and Ethics in Dentistry 5, no. 2 (2015): 51. http://dx.doi.org/10.4103/0974-7761.188569.

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8

Lo, Lawrence L., Peter C. M. Molenaar, and Michael Rovine. "Determining the number of factors in P-technique factor analysis." Applied Developmental Science 21, no. 2 (May 19, 2016): 94–105. http://dx.doi.org/10.1080/10888691.2016.1173549.

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9

Aristodemou, Michael E., and Eiko I. Fried. "Common Factors and Interpretation of the p Factor of Psychopathology." Journal of the American Academy of Child & Adolescent Psychiatry 59, no. 4 (April 2020): 465–66. http://dx.doi.org/10.1016/j.jaac.2019.07.953.

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10

Vermylen, J., and K. Peerlinck. "Epidemic of Factor VIII Inhibitors Linked to Factor VIII-P." Acta Clinica Belgica 46, no. 6 (January 1991): 419–20. http://dx.doi.org/10.1080/17843286.1991.11718201.

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11

Brendemoen, O. J. "BLOOD FACTOR P IN EASTERN NORWAY." Acta Pathologica Microbiologica Scandinavica 27, no. 3 (August 18, 2009): 338–39. http://dx.doi.org/10.1111/j.1699-0463.1950.tb00054.x.

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12

Lundevall, Jon. "BLOOD FACTOR P IN WESTERN NORWAY." Acta Pathologica Microbiologica Scandinavica 27, no. 3 (August 18, 2009): 340–43. http://dx.doi.org/10.1111/j.1699-0463.1950.tb00055.x.

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13

Marmora, Adriano. "Facteurs epsilon p-adiques." Compositio Mathematica 144, no. 2 (March 2008): 439–83. http://dx.doi.org/10.1112/s0010437x07002990.

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AbstractWe develop and study the epsilon factor of a ‘local system’ of p-adic coefficients over the spectrum of a complete discrete valuation field K with finite residue field of characteristic p>0. In the equal characteristic case, we define the epsilon factor of an overconvergent F-isocrystal over Spec(K), using the p-adic monodromy theorem. We conjecture a global formula, the p-adic product formula, analogous to Deligne’s formula for étale ℓ-adic sheaves proved by Laumon, which explains the importance of this local invariant. Namely, for an overconvergent F-isocrystal over an open subset of a projective smooth curve X, the constant of the functional equation of the L-series is expressed as a product of the local epsilon factors at the points of X. We prove the conjecture for rank-one overconvergent F-isocrystals and for finite unit-root overconvergent F-isocrystals. In the mixed characteristic case, we study the behavior of the epsilon factor by deformation to the field of norms.

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14

van Bork, Riet, Sacha Epskamp, Mijke Rhemtulla, Denny Borsboom, and Han L. J. van der Maas. "What is the p-factor of psychopathology? Some risks of general factor modeling." Theory & Psychology 27, no. 6 (November 23, 2017): 759–73. http://dx.doi.org/10.1177/0959354317737185.

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Recent research has suggested that a range of psychological disorders may stem from a single underlying common factor, which has been dubbed the p-factor. This finding may spur a line of research in psychopathology very similar to the history of factor modeling in intelligence and, more recently, personality research, in which similar general factors have been proposed. We point out some of the risks of modeling and interpreting general factors, derived from the fields of intelligence and personality research. We argue that: (a) factor-analytic resolution, i.e., convergence of the literature on a particular factor structure, should not be expected in the presence of multiple highly similar models; and (b) the true underlying model may not be a factor model at all, because alternative explanations can account for the correlational structure of psychopathology.

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15

Wong, Wei. "A transcription factor drug for asthma." Science 356, no. 6335 (April 20, 2017): 280.16–283. http://dx.doi.org/10.1126/science.356.6335.280-p.

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16

Purnell, B. A. "Manipulating M factor alters mosquito sex." Science 348, no. 6240 (June 11, 2015): 1218. http://dx.doi.org/10.1126/science.348.6240.1218-p.

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17

Martin, Daniel San, Ricardo Ramirez, Isidora Ossandon, Edgardo Escobar, C. arlos Akel, and Raul Domenech. "P WAVE DURATION: ATRIAL FIBRILLATION RISK FACTOR ?" Journal of the American College of Cardiology 75, no. 11 (March 2020): 350. http://dx.doi.org/10.1016/s0735-1097(20)30977-3.

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18

Angulo, C., and P. Descouvemont. "The 14N(p,)15O low-energy -factor." Nuclear Physics A 690, no. 4 (July 2001): 755–68. http://dx.doi.org/10.1016/s0375-9474(00)00696-5.

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19

Kondratyuk, S., and P. G. Blunden. "P- and T-violating πNN form factor." Nuclear Physics A 785, no. 3-4 (April 2007): 351–64. http://dx.doi.org/10.1016/j.nuclphysa.2006.12.054.

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20

Henningsen, K. "ON THE HEREDITY OF BLOOD FACTOR P." Acta Pathologica Microbiologica Scandinavica 26, no. 5 (August 18, 2009): 769–85. http://dx.doi.org/10.1111/j.1699-0463.1949.tb00781.x.

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21

Lam, Andrew K. C., and William A. Douthwaite. "Derivation of corneal flattening factor, p-value." Ophthalmic and Physiological Optics 14, no. 4 (October 1994): 423–27. http://dx.doi.org/10.1111/j.1475-1313.1994.tb00136.x.

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22

POLGAR, J., J. MATUSKOVA, and D. D. WAGNER. "The P-selectin, tissue factor, coagulation triad." Journal of Thrombosis and Haemostasis 3, no. 8 (August 2005): 1590–96. http://dx.doi.org/10.1111/j.1538-7836.2005.01373.x.

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23

Molenaar, Peter C. M., and John R. Nesselroade. "The Recoverability of P-technique Factor Analysis." Multivariate Behavioral Research 44, no. 1 (February 10, 2009): 130–41. http://dx.doi.org/10.1080/00273170802620204.

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24

Keränen, Ulla, Heikki Järvinen, Päivi Kärkkäinen, Tuula Kiviluoto, Eero Kivilaakso, and Seppo Soinila. "Substance P—An underlying factor for pouchitis?" Digestive Diseases and Sciences 41, no. 8 (August 1996): 1665–71. http://dx.doi.org/10.1007/bf02087922.

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25

KAMRAN, MUJAHID, and I. B. QURESHI. "THE CHOU-YANG MODEL AND ≡−p → ≡−p AT HIGH ENERGIES." International Journal of Modern Physics A 02, no. 01 (February 1987): 217–22. http://dx.doi.org/10.1142/s0217751x87000089.

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The Chou-Yang model is applied to the ≡−p elastic data from the SPS hyperon beam experiments under the assumption that hyperons have approximately equal form factors. Three different expressions for the proton electric form factor are used. All cases yield similar results in good agreement with experiment. The model predicts a dip in dσ/dt around −t ≃ 1 (GeV/c) 2 at present energies.

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26

Dworakowska, D., A. Kulwas, M. Lapinski, D. Tomaszewski, R. Dworakowski, J. Skokowski, E. Zekanowska, D. Rosc, and E. Zestochowska. "P-609 Tissue factor and tissue factor pathway inhibitor in surgicallytreated NSCLC." Lung Cancer 49 (July 2005): S279. http://dx.doi.org/10.1016/s0169-5002(05)81102-x.

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27

Brandes, Cassandra M., Kathrin Herzhoff, Avanté J. Smack, and Jennifer L. Tackett. "The p Factor and the n Factor: Associations Between the General Factors of Psychopathology and Neuroticism in Children." Clinical Psychological Science 7, no. 6 (September 18, 2019): 1266–84. http://dx.doi.org/10.1177/2167702619859332.

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Research across age groups has consistently indicated that psychopathology has a general factor structure such that a broad latent dimension (or p factor) captures variance common to all mental disorders as well as specific internalizing and externalizing factors. This research has found that the p factor overlaps substantially with trait negative emotionality (or neuroticism). However, less is known about the psychological substance of the specific factors of the general psychopathology model or how lower-order facets of neuroticism may relate to each psychopathology factor. We investigated the structure of neuroticism and psychopathology as well as associations between these domains using multimethod assessments in a sample of 695 preadolescent children. We found that both psychopathology and neuroticism may be well characterized by bifactor models and that there was substantial overlap between psychopathology (p) and neuroticism (n) general factors as well as between specific factors (Internalizing with Fear, Externalizing with Irritability).

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28

Williams, Lewis T., Jaime A. Escobedo, Wendy J. Fantl, Carlie de Vries, and Anke Klippel. "Receptors for platelet-derived growth factor and vascular endothelial growth factor." Journal of Molecular and Cellular Cardiology 24 (May 1992): 38. http://dx.doi.org/10.1016/0022-2828(92)90145-p.

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29

Rignell-Hydbom, Anna, Jonas Lidfeldt, Hannu Kiviranta, Panu Rantakokko, Göran Samsioe, Carl-David Agardh, and Lars Rylander. "Exposure to p,p′-DDE: A Risk Factor for Type 2 Diabetes." PLoS ONE 4, no. 10 (October 19, 2009): e7503. http://dx.doi.org/10.1371/journal.pone.0007503.

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30

Liu, Xiao Wei, Xue Bin Lu, Rong Yan Chuai, Chang Zhi Shi, Ming Xue Huo, and Wei Ping Chen. "Gauge Factor and Nonlinearity of P-Type Polysilicon Nanofilms." Advanced Materials Research 60-61 (January 2009): 84–88. http://dx.doi.org/10.4028/www.scientific.net/amr.60-61.84.

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The gauge factor and nonlinearity of 80nm polysilicon nanofilms with different doping concentration were tested. The experimental results show that, from 8.1×1018cm-3 to 2.0×1020cm-3, the gauge factors first increase then decrease, which like the common polysilicon films (thickness is larger than 100nm). From 2.0×1020cm-3 to 7.1×1020cm-3, the gauge factors do not change with doping concentration almost, which can be explained by tunneling piezoresistive theory. When doping concentration is low than 4.1×1019cm-3, the nonlinearities are big, and the nonlinearities become small when doping concentration is high than 4.1×1019cm-3. The nonlinearity is related to the occupied condition of trapping states in grain boundary. The longitudinal gauge factor and nonlinearity are smaller than transverse ones. Take the gauge factor and nonlinearity both into consideration, the optimal doping concentration should be 4.1×1019cm-3. The conclusions are very useful for design and fabrication of polysilicon nanofilms piezoresistive sensor.

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31

FOCARDI, SERGIO M., and FRANK J. FABOZZI. "FACTOR UNIQUENESS IN THE S&P 500 UNIVERSE: CAN PROPRIETARY FACTORS EXIST?" International Journal of Theoretical and Applied Finance 16, no. 04 (June 2013): 1350020. http://dx.doi.org/10.1142/s0219024913500209.

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In this paper, we analyze factor uniqueness in the S&P 500 universe. The current theory of approximate factor models applies to infinite markets. In the limit of infinite markets, factors are unique and can be represented with principal components. If this theory would apply to realistic markets such as the S&P 500 universe, the quest for proprietary factors would be futile. We find that this is not the case: in finite markets of the size of the S&P 500 universe different factor models can indeed coexist. We compare three dynamic factor models: a factor model based on principal component analysis, a classical factor model based on industry, and a factor model based on cluster analysis. Dynamic behavior is represented by fitting vector autoregressive models to factors and using them to make forecasts. We analyze the uniqueness of factors using Procrustes analysis and correlation analysis. Forecasting performance of the factor models is analyzed by forming active portfolio strategies based on the forecasts for each model using sample data from the S&P 500 index in the 21-year period 1989–2010. We find that one or two factors which we can identify with global factors are common to all models, while the other factors for the factor models we analyzed are truly different. Models exhibit significant differences in performance with principal component analysis-based factor models appearing to behave better than the sector-based factor models.

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32

Pečiuliauskienė, Palmira, and Ilona Valantinaitė. "The Factor in the Technological Creativity of V–VI Formers." Pedagogika 110, no. 2 (June 10, 2013): 72–79. http://dx.doi.org/10.15823/p.2013.1821.

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The article analyses how technological education determines the creativity of 5th–6th formers. Technological education is an integral part of general education. It makes it possible for students to act creatively, to choose flexibly – which is essential for anybody regardless their gender in the constantly changing socio-cultural environment, and to be able to use simple technologies at a user level. The article considers the development of students’ creativity in a systemic approach. Technological education is perceived as a complex of social and educational factors determining students’ creativity. In a creative society creativity is important in all spheres of activity where creative material becomes the basis for competitive advantage in the economy of the global market. The changes in the development of students’ creativity are conditioned by the fluctuation in educational paradigms, learning environments, general education programmes. Creativity is understood as a complex of personal qualities that manifests itself as an ability to offer new ideas, to think non-stereotypically, to orient oneself quickly in problematic situations, to find original solutions easily, which is determined by talents and interests. A systemic approach to creativity requires a systemic assessment of creativity development factors. Technological education is an integral part of general education. It originates from the idea of a “working school”, technologies as a school subject, teaching crafts, polytechnic and professional education. Technologies include material and human intellectual resources, scientific and practical knowledge and ways of organizing work. Technological education can be treated as a complex of both educational and social factors that promote students’ creativity. The method of factor analysis highlighted the following socio-educational factors of 5th–6th formers’ creativity development in technology classes: participation in the activities which are important for the school community; aesthetic activity; communication – cooperation; democratic relations; independent and responsible activity; individual activity; folk art recognition; promotion of activity; group work. Two factors have the most important influence on the development of students’ creativity: participation in the activities which are important for the school community (20.779 percent of dispersion) and participation in aesthetic activity (7.401 percent of dispersion). Nonetheless, the dispersion of social activity is almost three times bigger than that of aesthetic activity. Students’ creativity in technology classes is mostly determined by social factors. Out of the nine distinguished factors as many as four are of social character and only two (group work, individual work) are of educational character. Two creativity factors are related to aesthetic-artistic activity (aesthetic activity, folk art knowledge). Technology teachers see the source of creativity in their students’ interests. The tasks that correspond to students’ interests promote creativity. Technology teachers give a positive evaluation of the influence of individual and group work methods on creativity development. Teachers treat group work methods as a means of creating a favorable learning environment which creates “group enjoyment”. However, teachers state that it is impossible to do without individual work in technology classes. Technological tasks have to be performed accurately, with precision. They require a lot of time. Hence competitive methods are not suitable as competition can diminish the quality of work. Teachers think that in technological education both cooperative learning and individual work are important.

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33

Hrnčár, M., J. Chudej, E. Pritzová, M. Jablonicka, and J. Sokol. "P-64 P-selectin and factor VIII as risk factors of thromboembolic disease in patients with hepatocellular carcinoma." Annals of Oncology 31 (July 2020): S110. http://dx.doi.org/10.1016/j.annonc.2020.04.146.

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34

Souza, Barbara Capitanio de. "Overreaching: a risk factor for periodontal disease?" Revistas 74, no. 4 (December 27, 2017): 300. http://dx.doi.org/10.18363/rbo.v74n4.p.300.

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Objective: to identify the effects of overreaching on the susceptibility to develop periodontal diseases. Material and Methods: search for scientific articles on the Pubmed database. The search strategy used the term “overreaching” with the Boolean operator “and”, and the keywords: effects, immunological, diagnosis. The descriptor “periodontal disease and risk factor” was also used. The studies selected were analyzed and the studies that did not cover the proposed subject were excluded. Results: periodontal diseases involve a multi-factorial etiology. Although the presence of microbiological pathogens is an important factor for the development of the diseases, other factors have also been highly correlated with their prevalence. The dysfunction of the immune function is more pronounced when the exercise is continuous, prolonged and moderately intense, condition that occurs in overreaching. There is a possibility that the combined effects of changes in immunological parameters may compromise the response to some diseases, such as periodontal diseases. The destruction of the periodontal tissues is a final consequence of the immune response from the host, which can vary in overreaching. Conclusion: overreaching may be responsible for alterations in the immune system of the athlete. Diseases that present a common inflammatory profile may suffer additional modulations because of this process, leaving these individuals under a higher risk.

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35

Berntorp, Eric. "Human Plasma von Willebrand Factor/Factor VIII Complex (Haemate?? P/Humate-P??) in von Willebrand Disease and Haemophilia A." Drugs 67, no. 10 (2007): 1520. http://dx.doi.org/10.2165/00003495-200767100-00010.

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36

Li, Shuchao, and Shujing Miao. "Characterizing P⩾2-factor and P⩾2-factor covered graphs with respect to the size or the spectral radius." Discrete Mathematics 344, no. 11 (November 2021): 112588. http://dx.doi.org/10.1016/j.disc.2021.112588.

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37

Poteliūnienė, Sniegina, and Ineta Baltuškonienė. "Aerobics as a Factor to Motivate Self-Development of the Females." Pedagogika 126, no. 2 (June 5, 2017): 185–201. http://dx.doi.org/10.15823/p.2017.28.

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Organized workouts of aerobics might be seen as a self-development tool, as adult person’s decision to get involved into certain activity is taken consciously. One perceives such engagement being related to satisfaction of certain needs and expectations to reach the results of the systematically performed activity. The research was launched in order to reveal the motives of the females’ decision making when choosing aerobics for self-development, as well as to disclose the perceived by women impact of aerobics, considering it as a self-development tool. Half-structured interview method was applied for the research. 11 females, who attended Vilnius aerobics study, were interviewed. The data of the research were processed using qualitative content analysis, based on expert evaluation. It was established that women considered such values as family, health, carrier and happiness being the most important for them. Several universally accepted values were pointed out to be positive personal values, either already possessed or to be perfected further on by the respondents. These values were named to have been a motivating factor in choosing aerobics for self-development. Both intrinsic and extrinsic motives reinforce women to choose aerobics. Impact of aerobics as self-development tool was expressed by such aspects: rise of new needs, better psychic health, development of social relations and better quality, better results at work, gradually increasing body attractiveness. These facts prove that aerobics has a power to enable women to implement their inner potential, to satisfy their needs, to improve the quality of life, considering the fact that satisfaction with the results of sports activity is of the preconditions to form intrinsic motivation from extrinsic.

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38

Leibowitz, Martin L., and Stanley Kogelman. "Inside the P/E Ratio: The Franchise Factor." Financial Analysts Journal 46, no. 6 (November 1990): 17–35. http://dx.doi.org/10.2469/faj.v46.n6.17.

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39

E. Marsden, Jerrold, and Alexey Tret'yakov. "Factor analysis of nonlinear mappings: p-regularity theory." Communications on Pure & Applied Analysis 2, no. 4 (2003): 425–45. http://dx.doi.org/10.3934/cpaa.2003.2.425.

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40

Formicola, A., G. Imbriani, H. Costantini, C. Angulo, D. Bemmerer, R. Bonetti, C. Broggini, et al. "Astrophysical S-factor of 14N(p,γ)15O." Physics Letters B 591, no. 1-2 (July 2004): 61–68. http://dx.doi.org/10.1016/j.physletb.2004.03.092.

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41

Engelmann, B., S. Zieseniss, K. Brand, A. Lendschat, and A. J. Ulmer. "2.P.351 Lysophosphophatidycholine inhibits tissue factor expression." Atherosclerosis 134, no. 1-2 (October 1997): 189. http://dx.doi.org/10.1016/s0021-9150(97)88986-1.

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42

Snover, K. A., A. R. Junghans, E. C. Mohrmann, T. D. Steiger, E. G. Adelberger, J. M. Casandjian, H. E. Swanson, et al. "The 7Be(p, γ)8B astrophysical S-factor." Nuclear Physics A 758 (July 2005): 685–88. http://dx.doi.org/10.1016/j.nuclphysa.2005.05.122.

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43

Marcucci, L. E., R. Schiavilla, M. Viviani, A. Kievsky, and S. Rosati. "Realistic Calculation of the3He+p(hep) Astrophysical Factor." Physical Review Letters 84, no. 26 (June 26, 2000): 5959–62. http://dx.doi.org/10.1103/physrevlett.84.5959.

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44

NANIWA, Tomohide, and Suguru ARIMOTO. "P-Type Learning Control Using a Forgetting Factor." Transactions of the Institute of Systems, Control and Information Engineers 5, no. 2 (1992): 71–79. http://dx.doi.org/10.5687/iscie.5.71.

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45

Kristensen, Ole, and Martin Laurberg. "Expression, refolding and crystallization ofAquifex aeolicuselongation factor P." Acta Crystallographica Section D Biological Crystallography 58, no. 6 (May 29, 2002): 1039–41. http://dx.doi.org/10.1107/s0907444902005267.

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46

Mallaev, M. "P-077 Trigger factor in stomach MALT-lympoma." Annals of Oncology 26 (June 2015): iv21. http://dx.doi.org/10.1093/annonc/mdv233.77.

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47

Kolosova, I. P. "Multidrug resistance factor - glycoprotein P in rheumatoid arthritis." Rheumatology Science and Practice, no. 1 (February 15, 2003): 19. http://dx.doi.org/10.14412/1995-4484-2003-1127.

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48

Naik, K. C., R. N. Panda, A. Quddus, and S. K. Patra. "Astrophysical S-factor of some (p, γ) Reactions." Brazilian Journal of Physics 48, no. 4 (May 21, 2018): 342–53. http://dx.doi.org/10.1007/s13538-018-0569-5.

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49

Carvalho, L. G., L. G. Freitas, P. N. Alpoim, M. B. Pinheiro, K. B. Gomes, and L. M. S. Dusse. "P-047 Factor VII, factor VIIa and factor VIIa-antithrombin assessment in early and late severe preeclampsia." Thrombosis Research 131 (January 2013): S89. http://dx.doi.org/10.1016/s0049-3848(13)70093-8.

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50

Vesey, D. A., A. C. Selden, and H. J. E. Hodgson. "Comparative effects of epidermal growth factor, an insulin-glucagon combination, and a hepatocyte growth factor preparation on epidermal growth factor receptors." Journal of Hepatology 15, no. 1-2 (May 1992): 107–13. http://dx.doi.org/10.1016/0168-8278(92)90020-p.

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