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Bing Liu, Hong Zhou, Sha Cao, Yi-ping Xia, and Rajeev Arora

, Finland). Statistical analyses. Leaf freezing tolerance, defined as the temperature causing 50% injury (LT 50 ), was calculated by fitting the injury percent at each target temperature to Gompertz sigmoid function ( Lim and Arora, 1998 ) ( Fig. 3 ). The

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Wanploy Jinagool, Lia Lamacque, Marine Delmas, Sylvain Delzon, Hervé Cochard, and Stéphane Herbette

. For each curve, the raw data were fitted using the sigmoid function ( Pammenter and Van der Willigen, 1998 ): where P 50 (MPa) is the pressure causing 50% loss of xylem conductivity and s is the slope of VC. The xylem water potential causing 12

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Steve M. Spangler, Dennis D. Calvin, Joe Russo, and Jay Schlegel

the sigmoid function y = a + b × (exp{−0.5[(x − c)/d] 2 }), where a = 0.0589, b = 0.7311, c = 1402.5667, and d = 139.4216. Improving predictions of european corn borer infestations in sweet corn. The technology and knowledge currently exists to predict

Open access

Jinshi Cui, Myongkyoon Yang, Daesik Son, Seongmin Park, and Seong-In Cho

(dependent variables). The node number of the hidden layer was set as 3. In addition, a sigmoid function was used as the activation function, and the iteration number was limited to a maximum of 1000 to prevent overflow during calculations. Logistic

Open access

Renae E. Moran, Bryan J. Peterson, Gennaro Fazio, and John A. Cline

tissue browning. Data analysis. Data were analyzed using SAS Version 9.4 (SAS Institute, Cary, NC) PROC NLIN and the Newton method to estimate the four parameters of an adjusted logistic sigmoid function, y = Bmax/[1 + e b (TI – x) ] + d,where y

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Majken Pagter and Michelle Williams

freezing tolerance was estimated as LT 50 values, the temperature representing 50% REL. At each time, data for all five replicates were fitted by regression analysis (PROC NLIN of SAS; SAS Institute, Cary, NC) to the sigmoid function REL = REL min + (REL

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Julie M. Tarara, Bernardo Chaves, Luis A. Sanchez, and Nick K. Dokoozlian

monomolecular, logistic, and Gompertz sigmoid functions were fitted to the observed Δ T d data ( Hau et al., 1993 ); the best-fitting curves were found by adjusting the parameters of a double logistic equation under the following conditions: where Δ T d is in

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Renae E. Moran, Bryan J. Peterson, Gennaro Fazio, and John Cline

estimate the three parameters of an adjusted logistic sigmoid function, y = Bmax/[1 + e b(TI – x ] where y is the amount of brown tissue and x is temperature ( Repo and Lappi, 1989 ). Bmax is the upper asymptote of the function ( Fig. 1 ) and corresponds