Статті в журналах: "Excess factor"

1

Hoffman, M. "Excess Factor VIII and Hypercoagulability." Journal of the American Board of Family Medicine 18, no. 4 (July 1, 2005): 328. http://dx.doi.org/10.3122/jabfm.18.4.328.

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2

Yang, Baozhong. "Communication, Excess Comovement and Factor Structures." Journal of Business Finance & Accounting 40, no. 9-10 (October 28, 2013): 1304–25. http://dx.doi.org/10.1111/jbfa.12043.

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3

Emile, O., M. Brunel, A. Le Floch, and F. Bretenaker. "Vectorial excess noise factor in common lasers." Europhysics Letters (EPL) 43, no. 2 (July 15, 1998): 153–58. http://dx.doi.org/10.1209/epl/i1998-00334-5.

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4

Bobrow, R. S. "Excess Factor VIII: A Common Cause of Hypercoagulability." Journal of the American Board of Family Medicine 18, no. 2 (March 1, 2005): 147–49. http://dx.doi.org/10.3122/jabfm.18.2.147.

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5

Harding, C. M., Gang Yao, C. Largent, Y. C. Chen, S. M. Sherrick, R. J. Dalby, and R. G. Waters. "Excess spontaneous-emission factor in unstable-resonator lasers." Optics Letters 17, no. 17 (September 1, 1992): 1207. http://dx.doi.org/10.1364/ol.17.001207.

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6

Naveau, S., V. Giraud, E. Borotto, A. Aubert, F. Capron, and J. Chaput. "Excess weight risk factor for alcoholic liver disease." Hepatology 25, no. 1 (January 1997): 108–11. http://dx.doi.org/10.1002/hep.510250120.

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7

Piticar, Adrian, Adina-Eliza Croitoru, Flavius-Antoniu Ciupertea, and Gabriela-Victoria Harpa. "Recent changes in heat waves and cold waves detected based on excess heat factor and excess cold factor in Romania." International Journal of Climatology 38, no. 4 (October 3, 2017): 1777–93. http://dx.doi.org/10.1002/joc.5295.

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8

Mahmud, Delvira. "Testing the Four Factors of the Carhart Model Against Excess Return of Shares in Companies Registered in the Kompas 100 Index for the 2014-2016 Period." Jambura Science of Management 1, no. 1 (July 28, 2019): 16–20. http://dx.doi.org/10.37479/jsm.v1i1.1983.

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The researcher intends to test the four carhart factor model of stock excess return in companies incorporated in Kompas 100 for the 2014-2016 period. Regression analysis was performed on four carhart factor models, namely market returns, firm size, book to market, and momentum towards excess return. The results of this study indicate that in the partial hypothesis testing market return, firm size, and book to market equty variables significantly influence the excess return, while the momentum variable does not significantly influence the magnitude of excess return.Keywords: Four factors, market returns, firm size, book to market equity, momentum, excess stock returns

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9

Liu, Yu, Conglin Hu, Lei Wang, and Kun Yang. "Multilayer Network Risk Factor Pricing Model." Complexity 2020 (November 4, 2020): 1–6. http://dx.doi.org/10.1155/2020/6618853.

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This paper proposes a multilayer network risk factor pricing model to depict the impact of interactions between stocks on excess stock returns by constructing the network risk factor based on the stock multilayer network and introducing it to the traditional three-factor pricing model. According to China’s stock market data, we find that compared with the traditional three-factor model, the multilayer network risk factor pricing model can achieve higher fitting degree. Meanwhile, the multilayer network risk factor has a significant positive impact on the excess stock returns in most cases.

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10

Gyimah-Brempong, Kwabena. "Empirical Models of Criminal Behavior: How Significant a Factor is Race?" Review of Black Political Economy 15, no. 1 (June 1986): 27–43. http://dx.doi.org/10.1007/bf02903857.

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Empirical models of the supply of criminal offenses in the United States have shown a positive relationship between the proportion of the population that is non-white (RACE) and crime rates. Though non-whites in the United States possess more “criminal capital” than the average person, such studies do not take into consideration this excess criminal capital. Since RACE and the omitted excess criminal capital are correlated, it will pick up the influence of the excess criminal capital. Using cross-sectional data from Florida's municipalities, we show that after adjusting for excess criminal capital, RACE has no significant relationship with crime.

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11

Kovalenko, V., E. Gaidukova, and A. Kachalova. "An opportunity of application of excess factor in hydrology." Hydrology and Earth System Sciences Discussions 9, no. 12 (December 11, 2012): 13635–49. http://dx.doi.org/10.5194/hessd-9-13635-2012.

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Abstract. In last few years in hydrology an interest to excess factor has appeared as a reaction to unsuccessful attempts to simulate and predict evolving hydrological processes, which attributive property is statistical instability. The article shows, that the latter has a place at strong relative multiplicative noises of probabilistic stochastic model of a river flow formation, phenomenological display of which are "the thick tails" and polymodality, for which the excess factor "answers", by being ignored by a modern hydrology in connection to the large error of its calculation because of insufficient duration of lines of observation over a flow. However, it is found out, that the duration of observation of several decades practically stabilizes variability of the excess factor, the error of which definition appears commensurable with an error of other calculated characteristics used in engineering hydrology.

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12

Pilicer, E., F. Kocak, and I. Tapan. "Excess noise factor of neutron-irradiated silicon avalanche photodiodes." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 552, no. 1-2 (October 2005): 146–51. http://dx.doi.org/10.1016/j.nima.2005.06.021.

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13

Zhou, Shi-Sheng. "Excess vitamin intake: An unrecognized risk factor for obesity." World J Diabetes 5, no. 1 (2014): 1. http://dx.doi.org/10.4239/wjd.v5.i1.1.

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14

Nguyen, Stephanie, and Chi-yuan Hsu. "Excess weight as a risk factor for kidney failure." Current Opinion in Nephrology and Hypertension 16, no. 2 (March 2007): 71–76. http://dx.doi.org/10.1097/mnh.0b013e32802ef4b6.

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15

Peters, Achim, Martin Ehlers, Bodo Blank, Dirk Exler, Carol Falk, Thomas Kohlmann, Bernd Fruehwald-Schultes, Peter Wellhoener, Wolfgang Kerner, and Horst L. Fehm. "Excess Triiodothyronine as a Risk Factor of Coronary Events." Archives of Internal Medicine 160, no. 13 (July 10, 2000): 1993. http://dx.doi.org/10.1001/archinte.160.13.1993.

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16

van Eijkelenborg, M. A., Å. M. Lindberg, M. S. Thijssen, and J. P. Woerdman. "Unstable-resonator diffraction losses and the excess-noise factor." Physical Review A 55, no. 6 (June 1, 1997): 4556–62. http://dx.doi.org/10.1103/physreva.55.4556.

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17

Brunel, Marc, Guy Ropars, Albert Le Floch, and Fabien Bretenaker. "Transverse excess noise factor in geometrically stable laser resonators." Physical Review A 55, no. 6 (June 1, 1997): 4563–67. http://dx.doi.org/10.1103/physreva.55.4563.

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18

Szczepanski, P., A. Tyszka-Zawadzka, and A. Kujawski. "Excess noise factor in laser with extra cavity devices." IEEE Journal of Quantum Electronics 31, no. 12 (1995): 2265–68. http://dx.doi.org/10.1109/3.477756.

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19

Tyszka-Zawadzka, Anna, and Paweł Szczepański. "Excess-noise factor in partly gain coupled DFB lasers." Optics Communications 111, no. 5-6 (October 1994): 502–6. http://dx.doi.org/10.1016/0030-4018(94)90527-4.

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20

Acheampong, Prince, and Sydney Kwesi Swanzy. "Empirical Test of Single Factor and Multi-Factor Asset Pricing Models: Evidence from Non Financial Firms on the Ghana Stock Exchange (GSE)." International Journal of Economics and Finance 8, no. 1 (December 24, 2015): 99. http://dx.doi.org/10.5539/ijef.v8n1p99.

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This paper examines the explanatory power of a uni-factor asset pricing model (CAPM) against a multi-factor model (The Fama-French three factor model) in explaining excess portfolio returns on non-financial firms on the Ghana Stock Exchange (GSE). Data covering the period January 2002 to December 2011 were used. A six Size- Book-to-Market (BTM) ratio portfolios were formed and used for the analysis. The paper revealed that, a uni-factor model like the (CAPM) could not predict satisfactorily, the excess portfolio returns on the Ghana Stock Exchange. By using the multi-factor asset pricing model, that is, the Fama-French Three Factor Model, excess portfolio returns were better explained. It is then conclusive enough that, the multi-factor asset pricing model introduced by Fama and French (1992) was a better asset pricing model to explain excess portfolio returns on the Ghana Stock Exchange than the Capital Assets Pricing Model (CAPM) and that there exist the firm size and BTM effects on the Ghanaian Stock market.

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21

Taylor, Sarah M., Kathleen R. Nevis, Hannah L. Park, Gregory C. Rogers, Stephen L. Rogers, Jeanette G. Cook, and Victoria L. Bautch. "Angiogenic factor signaling regulates centrosome duplication in endothelial cells of developing blood vessels." Blood 116, no. 16 (October 21, 2010): 3108–17. http://dx.doi.org/10.1182/blood-2010-01-266197.

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Abstract Regulated vascular endothelial growth factor (VEGF) signaling is required for proper angiogenesis, and excess VEGF signaling results in aberrantly formed vessels that do not function properly. Tumor endothelial cells have excess centrosomes and are aneuploid, properties that probably contribute to the morphologic and functional abnormalities of tumor vessels. We hypothesized that endothelial cell centrosome number is regulated by signaling via angiogenic factors, such as VEGF. We found that endothelial cells in developing vessels exposed to elevated VEGF signaling display centrosome overduplication. Signaling from VEGF, through either MEK/ERK or AKT to cyclin E/Cdk2, is amplified in association with centrosome overduplication, and blockade of relevant pathway components rescued the centrosome overduplication defect. Endothelial cells exposed to elevated FGF also had excess centrosomes, suggesting that multiple angiogenic factors regulate centrosome number. Endothelial cells with excess centrosomes survived and formed aberrant spindles at mitosis. Developing vessels exposed to elevated VEGF signaling also exhibited increased aneuploidy of endothelial cells, which is associated with cellular dysfunction. These results provide the first link between VEGF signaling and regulation of the centrosome duplication cycle, and suggest that endothelial cell centrosome overduplication contributes to aberrant angiogenesis in developing vessel networks exposed to excess angiogenic factors.

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22

Susanti, Neneng, and Deden Novan Setiawan Nugraha. "THE COMPARISON OF APPLICATION OF STOCK RETURN EVALUATION IN RECORDED COMPANIES IN LQ 45 FOR THE 2012-2016 PERIOD." Journal of Economic Empowerment Strategy (JEES) 2, no. 1 (February 28, 2019): 1. http://dx.doi.org/10.30740/j.v2i1.30.

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The purpose of this study is not only to compare the Capital Asset Price Model, Arbitration Price Theory, Three Factor Price Model, Three Factor Price Model, and Five Factor Price Model to study the Capital Asset Price Model, Price Arbitration Price Theory, Three Factor Price Model, Four Factors Pricing Model and Five Factors Pricing Model for excess returns and for determining the best asset pricing model in terms of the ability to explain estimates of excess returns. This research includes explanatory research (explanatory research), namely looking at the relationship between research variables and testing hypotheses that have been formulated previously. This study examines the effect of variables in the asset pricing model and compares the asset pricing models in explaining excess returns. Based on the results of the research that has been carried out the best model that can be used in assessing the asset pricing model is the five Price Model Factors, this is evidenced by the value of R2 or R Square of 89.4%, the value is greater than the value of R2 or R Square Capital Asset Pricing Model, Arbitration Price Theory, Three Price Factor Models, and Four Price Factor Models, which were 34.7%, 55.2%, 77.2% and 79% respectively.

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23

Susanti, Neneng, and Deden Novan Setiawan Nugraha. "THE COMPARISON OF APPLICATION OF STOCK RETURN EVALUATION IN RECORDED COMPANIES IN LQ 45 FOR THE 2012-2016 PERIOD." Journal of Economic Empowerment Strategy (JEES) 2, no. 1 (February 28, 2019): 1. http://dx.doi.org/10.30740/jees.v2i1.30.

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The purpose of this study is not only to compare the Capital Asset Price Model, Arbitration Price Theory, Three Factor Price Model, Three Factor Price Model, and Five Factor Price Model to study the Capital Asset Price Model, Price Arbitration Price Theory, Three Factor Price Model, Four Factors Pricing Model and Five Factors Pricing Model for excess returns and for determining the best asset pricing model in terms of the ability to explain estimates of excess returns. This research includes explanatory research (explanatory research), namely looking at the relationship between research variables and testing hypotheses that have been formulated previously. This study examines the effect of variables in the asset pricing model and compares the asset pricing models in explaining excess returns. Based on the results of the research that has been carried out the best model that can be used in assessing the asset pricing model is the five Price Model Factors, this is evidenced by the value of R2 or R Square of 89.4%, the value is greater than the value of R2 or R Square Capital Asset Pricing Model, Arbitration Price Theory, Three Price Factor Models, and Four Price Factor Models, which were 34.7%, 55.2%, 77.2% and 79% respectively.

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24

Nardari, Federico, and John T. Scruggs. "Bayesian Analysis of Linear Factor Models with Latent Factors, Multivariate Stochastic Volatility, and APT Pricing Restrictions." Journal of Financial and Quantitative Analysis 42, no. 4 (December 2007): 857–91. http://dx.doi.org/10.1017/s0022109000003422.

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AbstractWe analyze a new class of linear factor models in which the factors are latent and the covariance matrix of excess returns follows a multivariate stochastic volatility process. We evaluate cross-sectional restrictions suggested by the arbitrage pricing theory (APT), compare competing stochastic volatility specifications for the covariance matrix, and test for the number of factors. We also examine whether return predictability can be attributed to time-varying factor risk premia. Analysis of these models is feasible due to recent advances in Bayesian Markov chain Monte Carlo (MCMC) methods. We find that three latent factors with multivariate stochastic volatility best explain excess returns for a sample of 10 size decile portfolios. The data strongly favor models constrained by APT pricing restrictions over otherwise identical unconstrained models.

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25

He, Ling T. "Excess Returns of Industrial Stocks and the Real Estate Factor." Southern Economic Journal 68, no. 3 (January 2002): 632. http://dx.doi.org/10.2307/1061722.

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26

P., Chandrakala, Shilpa Deborah Lysander, and Jayalalitha . "Base excess as a prognostic factor determining the perinatal outcome." International Journal of Contemporary Pediatrics 7, no. 3 (February 25, 2020): 516. http://dx.doi.org/10.18203/2349-3291.ijcp20200673.

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Background: Umbilical cord blood gas assessment seems to be the most objective determination of fetal metabolic condition at the time of birth and can be used to assess the perinatal outcome of the baby. In the early stage of an impaired placental circulation, hypoxemia and hypercapnia result in a decrease in pH with BD maintained normal (respiratory acidemia), whereas if the hypoxic process develops into a sustained anaerobic metabolism the BD rises secondary to lactic acidosis and consumption of buffer.Methods: Observational study done in KIMS hospital Bangalore, Karnataka, India, in a study period of 18 months on a sample size of 100. Within 30 sec of delivery a segment of umbilical cord was clamped at both ends. Cord blood was collected in heparinised syringe. It was then transported with cold ice packs and blood pH, pCO2, pO2 were measured.Results: In present study, there was a significant difference between the 2 groups in terms of BE, BE being highest in the group without complication. There was a moderate negative correlation between duration of NICU stay (days) and BE (mmol/L), and this correlation was statistically significant. There was a significant difference between the 2 groups in terms of BE with the median BE (mmol/L) being highest in the group not requiring resuscitation. At a cutoff of BE (mmol/L) <-17.5, it predicts complications with a sensitivity of 71.4%, and a specificity of 88.2%.Conclusions: Hence cord blood base excess can be used as a prognostic factor in determining the perinatal outcome.

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27

Beard, C. Mary, Laurel A. Panser, and Slavica K. Katusic. "Is excess folic acid supplementation a risk factor for autism?" Medical Hypotheses 77, no. 1 (July 2011): 15–17. http://dx.doi.org/10.1016/j.mehy.2011.03.013.

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28

Świtalski, Konrad, Anna Tyszka-Zawadzka, and Paweł Szczepański. "Excess noise factor in circular grating distributed Bragg reflector lasers." Optics Communications 199, no. 5-6 (December 2001): 417–24. http://dx.doi.org/10.1016/s0030-4018(01)01581-4.

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29

Leaver, A. A., D. R. Lewis, G. R. Standen, J. F. Chester, and P. M. Lamont. "Factor VIII Excess as a Cause of Peripheral Arterial Thrombosis." EJVES Extra 3, no. 1 (January 2002): 1–3. http://dx.doi.org/10.1053/ejvx.2002.0108.

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30

Brachetta, Matteo, and Claudia Ceci. "Optimal Excess-of-Loss Reinsurance for Stochastic Factor Risk Models." Risks 7, no. 2 (May 1, 2019): 48. http://dx.doi.org/10.3390/risks7020048.

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We study the optimal excess-of-loss reinsurance problem when both the intensity of the claims arrival process and the claim size distribution are influenced by an exogenous stochastic factor. We assume that the insurer’s surplus is governed by a marked point process with dual-predictable projection affected by an environmental factor and that the insurance company can borrow and invest money at a constant real-valued risk-free interest rate r. Our model allows for stochastic risk premia, which take into account risk fluctuations. Using stochastic control theory based on the Hamilton-Jacobi-Bellman equation, we analyze the optimal reinsurance strategy under the criterion of maximizing the expected exponential utility of the terminal wealth. A verification theorem for the value function in terms of classical solutions of a backward partial differential equation is provided. Finally, some numerical results are discussed.

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31

Miura, S., T. Mikawa, H. Kuwatsuka, N. Yasuoka, T. Tanahashi, and O. Wada. "AlGaSb avalanche photodiode exhibiting a very low excess noise factor." Applied Physics Letters 54, no. 24 (June 12, 1989): 2422–23. http://dx.doi.org/10.1063/1.101095.

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32

Shah, Chandrarajan Premal, Susan Horner, David Surendran Sanders, Susan Armstrong, and Sureshini Sanders. "Is Excess Alcohol Consumption an Unrecognized Factor Contributing to Falls?" Geriatric Orthopaedic Surgery & Rehabilitation 9 (January 1, 2018): 215145931876034. http://dx.doi.org/10.1177/2151459318760346.

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33

Hakim, N. Z., B. E. A. Saleh, and M. C. Teich. "Generalized excess noise factor for avalanche photodiodes of arbitrary structure." IEEE Transactions on Electron Devices 37, no. 3 (March 1990): 599–610. http://dx.doi.org/10.1109/16.47763.

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34

Grangier, Ph, and J. Ph Poizat. "A simple quantum picture for the Petermann excess noise factor." European Physical Journal D - Atomic, Molecular and Optical Physics 1, no. 1 (January 1, 1998): 97–104. http://dx.doi.org/10.1007/s100530050069.

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35

He, Ling T. "Excess Returns of Industrial Stocks and the Real Estate Factor." Southern Economic Journal 68, no. 3 (January 2002): 632–45. http://dx.doi.org/10.1002/j.2325-8012.2002.tb00442.x.

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36

Plassmeier, Lars, Mohammed K. Hankir, and Florian Seyfried. "Impact of Excess Body Weight on Postsurgical Complications." Visceral Medicine 37, no. 4 (2021): 287–97. http://dx.doi.org/10.1159/000517345.

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Background: Obesity is considered a risk factor for postoperative complications as it can limit exposure to the operation field, thereby significantly prolonging surgery time. Obesity-associated comorbidities, such as low-grade systemic inflammation, impaired functional status, and type 2 diabetes, are independent risk factors for impaired anastomotic wound healing and nonsurgical site infections. If obesity itself is an independent risk factor for surgical complications remains controversial, but the reason for this is largely unexplored. Summary: A MEDLINE literature search was performed using the terms: “obesity,” “excess body weight,” and “surgical complications.” Out of 65,493 articles 432 meta-analyses were screened, of which 25 meta-analyses were on the subject. The vast majority of complex oncologic procedures in the field of visceral surgery have shown higher complication rates in obese patients. Meta-analyses from the last 10 to 15 years with high numbers of patients enrolled consistently have shown longer operation times, higher blood loss, longer hospital stay for colorectal procedures, oncologic upper gastrointestinal (GI) procedures, and pancreatic surgery. Interestingly, these negative effects seem not to affect the overall survival in oncologic patients, especially in esophageal resections. A selection bias in oncologic upper GI patients may have influenced the results with higher BMI in upper GI cancer to be a predictor for better nutritional and performance status. Key Messages: Contrary to bariatric surgery, only limited evidence indicated that site and type of surgery, the approach to the abdominal cavity (laparoscopic vs. open), institutional factors, and the type of perioperative care such as ERAS protocols may play a role in determining postsurgical complications in obese patients. The initial question remains therefore partially unanswered. Large nationwide register-based studies are necessary to better understand which aspects of obesity and its related comorbidities define it as a risk factor for surgical complications.

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37

Ritzoulis, George. "Excess properties of the binary liquid systems dimethylsulfoxide + isopropanol and propylene carbonate + isopropanol." Canadian Journal of Chemistry 67, no. 6 (June 1, 1989): 1105–8. http://dx.doi.org/10.1139/v89-166.

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The dielectric constants, viscosities, densities, and refractive indices of the binary solvent mixtures dimethylsulfoxide–isopropanol and propylene carbonate–isopropanol were measured at 25, 30, and 35 °C over the entire mole fraction range. Excess dielectric constant, excess molar polarization, and excess viscosity were calculated. For both binary systems the variation of the Kirkwood correlation factor has been examined. Keywords: propylene carbonate, acetonitrile, correlation factor, excess properties, dielectric constant.

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38

Bui, Anh Tuan, and Lance A. Fisher. "The relative term structure and the Australian-US exchange rate." Studies in Economics and Finance 33, no. 3 (August 1, 2016): 417–36. http://dx.doi.org/10.1108/sef-05-2014-0089.

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Purpose The purpose of this paper is to investigate whether the factors that summarise the information in the yield curves of Australia and the USA can predict changes in the Australian–USA exchange rate (i.e. the AUD/USD rate) and Australian dollar excess returns. Design/methodology/approach The paper extracts the three Nelson–Siegel factors (level, slope and curvature) from the relative yield curve of Australia with the USA to predict changes in the bilateral exchange rate and excess returns on the Australian dollar. The full sample regressions allow for a shift in the coefficient on the relative curvature factor which can account for the impact of the Fed’s changed monetary policy to one of quantitative easing. Findings The paper finds that the relative curvature factor strongly predicts changes in the AUD/USD exchange rate and Australian dollar excess returns out to 12 months ahead in the sample that precedes the Fed’s policy of quantitative easing. The relative curvature factor retains its predictive power in the full sample regressions but anticipates smaller exchange rate changes and excess currency returns in in-sample predictions made from August 2007. Practical implications The yield curves of Australia and the USA reliably reflect investor’s expectations about prospective monetary policies in each economy. Originality/value The paper investigates the predictive content of the relative Nelson–Siegel factors for changes in the AUD/USD exchange rate and for Australian dollar excess returns over various forecast horizons for a period that covers the Fed’s policy of quantitative easing.

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39

Wang, Shen, Zhao Yang Zeng, and Fei Zhang. "Simulation Analysis of Excess Noise Factors for Photomultiplier Tube." Applied Mechanics and Materials 556-562 (May 2014): 1745–48. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.1745.

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Noise is one of the most significant indicators to measure the performance of the PMT, which is regarded as a photoelectric detector. Moreover, the excess noise factor F is an important parameter to describe the noise. Excess noise factor expressions for PMT in different situations are derived and analyzed by simulation in this paper. Some numerical simulations are made to obtain the maximum and minimum excess noise factor F and the changing trend of F with each parameter. From the analysis, we can minimize the noise for PMT to increase the detection precision as a photoelectric detector.

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40

Cejnek, Georg, and Otto Randl. "Dividend Risk Premia." Journal of Financial and Quantitative Analysis 55, no. 4 (April 16, 2019): 1199–242. http://dx.doi.org/10.1017/s0022109019000309.

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This article studies time variation in the expected excess returns of traded claims on dividends, bonds, and stock indices for international markets. We introduce a novel dividend risk factor that complements the bond risk factor of Cochrane and Piazzesi (2005). By aggregating over 4 regions (United States, United Kingdom, Eurozone, and Japan), we create global dividend and bond factors. Our global 2-factor model captures the excess returns of most Morgan Stanley Capital International (MSCI) country indices, as well as a variety of other test assets. Our findings highlight the value of the information contained in dividend and bond forward curves and suggest substantial comovement in international risk premia.

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41

DEHWAH, AHMAD H., IDRIS A. AJIA, and JOHN S. MARSLAND. "EMPIRICAL FORMULAE FOR EXCESS NOISE FACTOR WITH DEAD SPACE FOR SINGLE CARRIER MULTIPLICATION." Fluctuation and Noise Letters 10, no. 03 (September 2011): 315–21. http://dx.doi.org/10.1142/s0219477511000600.

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In this letter, two empirical equations are presented for the calculation of the excess noise factor of an avalanche photodiode for single carrier multiplication including the dead space effect. The first is an equation for calculating the excess noise factor when the multiplication approaches infinity as a function of parameters that describe the degree of the dead space effect. The second equation can be used to find the minimum value of the excess noise factor for any multiplication when the dead space effect is completely dominant, the so called "deterministic" limit. This agrees with the theoretically known equation for multiplications less than or equal to two.

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42

Barsukov, A. V., Z. V. Bagaeva, D. V. Kadin, V. Baranov, and S. Shustov. "Mineralocorticoid excess and left ventricular hypertrophy." "Arterial’naya Gipertenziya" ("Arterial Hypertension") 14, no. 3 (June 28, 2008): 211–18. http://dx.doi.org/10.18705/1607-419x-2008-14-3-211-218.

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Primary aldosteronism is one of the most prevalent reasons of secondary hypertension. Mineralocorticoid excess is on independent powerful pathogenic factor of left ventricular hypertrophy and its diastolic dysfunction. The degree of participation of aldosterone precursors in left ventricular remodeling is unknown. Two case reports concerning the peculiarities of different mineralocorticoid influence on left ventricle structure and function are described in the paper.

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43

Карнаухова, Инна, Inna Karnaukhova, Владимир Карнаухов, Vladimir Karnaukhov, Дмитрий Захаров, Dmitry Zakharov, Олег Карнаухов, Oleg Karnaukhov, Ольга Рындина, and Olga Ryndina. "INFLUENCE OF THE EXCESS AIR FACTOR ON FUEL CONSUMPTION BY DIESEL INTERNAL COMBUSTION ENGINES." Bulletin of Bryansk state technical university 2016, no. 5 (December 30, 2016): 38–42. http://dx.doi.org/10.12737/article_58f9c4d93ed083.05626092.

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According to the results of the study numeric val-ues of influence dynamics of the excess air factor on fuel consumption by diesel internal combustion engine have been received. Cause and effect relationships between the excess air factor and formation of a mix have been defined, optimum intervals of the excess air factor, temperature and air pressure in an intake mani-fold which provide optimum fuel consumption have been given. The mathematical model of fuel consumption de-pending on the excess air factor has been introduced. Studies carried out at the department "Operation of motor vehicles" of the Tyumen Industrial University show that the heating of air in an intake manifold of internal combustion engine KAMAZ 740 up to +67C the temperature interval of the minimum fuel ≤ 2,05 that gives fuel economy consumption increases from-25 to + 77 ° C when to 30 %, especially, at cars opera-tion in severe climatic conditions.

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44

Liu, Ke-Xin, Yukio Kato, Ichiro Kino, Toshikazu Nakamura, and Yuichi Sugiyama. "Ligand-induced downregulation of receptor-mediated clearance of hepatocyte growth factor in rats." American Journal of Physiology-Endocrinology and Metabolism 275, no. 5 (November 1, 1998): E835—E842. http://dx.doi.org/10.1152/ajpendo.1998.275.5.e835.

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The change in tissue uptake clearance of125I-labeled hepatocyte growth factor (HGF) after an intravenous injection of an excess (120 μg/kg) of unlabeled HGF was examined in rats. The heparin-washable component of the hepatic uptake clearance of125I-HGF was only slightly changed, whereas the heparin-resistant component was significantly reduced 30 min after injection of excess HGF, followed by gradual recovery with a half-life of 3.2 h. Because the former clearance mainly represents 125I-HGF association with heparan sulfate proteoglycan on the cell surface and/or extracellular matrix, whereas the latter includes relatively specific clearance, such as receptor-mediated endocytosis, this result suggests that injection of excess HGF selectively causes downregulation of receptor-mediated HGF clearance in the liver. Downregulation could also be observed for HGF receptor density in isolated liver plasma membrane, assessed by Western blot analysis by means of anti-receptor antibody, 30 min after injection of excess unlabeled HGF, supporting the hypothesis that the overall elimination of HGF from the systemic circulation can be affected by a change in HGF receptor density on the liver cell surface.

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45

Cochrane, John H., and Monika Piazzesi. "Bond Risk Premia." American Economic Review 95, no. 1 (February 1, 2005): 138–60. http://dx.doi.org/10.1257/0002828053828581.

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We study time variation in expected excess bond returns. We run regressions of one-year excess returns on initial forward rates. We find that a single factor, a single tent-shaped linear combination of forward rates, predicts excess returns on one-to five-year maturity bonds with R2 up to 0.44. The return-forecasting factor is countercyclical and forecasts stock returns. An important component of the return-forecasting factor is unrelated to the level, slope, and curvature movements described by most term structure models. We document that measurement errors do not affect our central results.

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46

Luo, Yuqian, Akira Kawashima, Yuko Ishido, Aya Yoshihara, Kenzaburo Oda, Naoki Hiroi, Tetsuhide Ito, Norihisa Ishii, and Koichi Suzuki. "Iodine Excess as an Environmental Risk Factor for Autoimmune Thyroid Disease." International Journal of Molecular Sciences 15, no. 7 (July 21, 2014): 12895–912. http://dx.doi.org/10.3390/ijms150712895.

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47

Tolika, Konstantia. "Assessing Heat Waves over Greece Using the Excess Heat Factor (EHF)." Climate 7, no. 1 (January 7, 2019): 9. http://dx.doi.org/10.3390/cli7010009.

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Heat waves are considered one of the most noteworthy extreme events all over the world due to their crucial impacts on both society and the environment. For the present article, a relatively new heat wave index, which was primarily introduced for the study of extreme warming conditions over Australia (Excess Heat Factor (EHF, hereafter)), was applied over Greece (eastern Mediterranean) for a 55-year period in order to examine its applicability to a region with different climatic characteristics (compared to Australia) and its ability to define previous exceptional heat waves. The computation of the EHF index for the period 1958–2012 demonstrated that, during the warm period of the year (June, July, August, and September (JJAS)), Greece experiences approximately 20 days per year with positive anomalous conditions (EHF > 0) with positive statistically significant trends for all stations under study. Moreover, an average of 128 spells with a duration of 3 to 10 consecutive days with positive EHF values were found during the examined 55-year period. As the duration of the spell was extended, their frequency lessened. Finally, it was found that the EHF index not only detected, identified, and described efficiently the characteristics of the heat waves, but it also provided additional useful information regarding the impact of these abnormal warming conditions on the human ability to adapt to them.

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48

Popa, A., and A. Babes. "1P-0085 Adipose tissue excess as metabolic and cardiovascular risk factor." Atherosclerosis Supplements 4, no. 2 (January 2003): 38. http://dx.doi.org/10.1016/s1567-5688(03)90160-7.

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49

Fernandes, L. M. P., J. A. M. Lopes, and J. M. F. dos Santos. "Excess noise factor in large area avalanche photodiodes for different temperatures." Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 531, no. 3 (October 2004): 566–68. http://dx.doi.org/10.1016/j.nima.2004.05.085.

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50

Lindberg, Å. M., G. P. Karman, K. Joosten, G. Nienhuis, and J. P. Woerdman. "Mode-crossing interpretation of resonances in the transverse excess noise factor." Optics Communications 153, no. 1-3 (July 1998): 55–58. http://dx.doi.org/10.1016/s0030-4018(98)00239-9.

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