Bayesian mixture model for accurate assessment of monthly maximum wind speed: A case study in Gwadar.

Assessment of monthly maximum wind speed (MMWS) is essential in various environmental disciplines, including architectural risk assessment, climatology, renewable energy sources, building design, and agricultural activities. The distribution of wind speed is an important module of its development. Presently, several mixing distributions have been suggested for fitting the theoretical maximum wind speed distributions.

Double Balloon Combined with Oxytocin in Labor Induction: Analysis of Multivariate Factors Affecting the Efficacy of Cervical Ripening.

Objective: Labor induction during the late trimester of pregnancy is a common option of terminating pregnancy by inducing uterine contractions through medication or cervical mechanical dilation. However, there are few researches on the factors influencing the effectiveness of cervical ripening balloon combined with oxytocin in inducing labor. To explore factors affecting the efficacy of cervical ripening double balloon combined with oxytocin in labor induction.

Attractor radius for fractional Lorenz systems and their application to the quantification of predictability limits.

Quantifying the predictability limits of chaotic systems and their forecast models has attracted much interest among scientists. The attractor radius (AR) and the global attractor radius (GAR), as intrinsic properties of a chaotic system, were introduced in the most recent work (Li et al. 2018).