background: precise diagnosis of disease risk factors via efficient statistical models is the primary step for reducing the heavy costs of breast cancer, as one of the most highly prevalent cancer throughout the world. therefore, the aim of this study was to present a recently introduced statistical model in order to assess its proficiency for model fitting. methods: the information of 1465 eli...

We introduce a formal language to describe origin functions, which permit to study the notions of descendance and residuals in reduction systems. Computation on this formal language are deened using a term rewriting system, which we show to be canonical. This work has application in semantics and debugging.

‎The first variable Zagreb index of graph $G$ is defined as‎ ‎begin{eqnarray*}‎ ‎M_{1,lambda}(G)=sum_{vin V(G)}d(v)^{2lambda}‎, ‎end{eqnarray*}‎ ‎where $lambda$ is a real number and $d(v)$ is the degree of‎ ‎vertex $v$‎. ‎In this paper‎, ‎some upper and lower bounds for the distribution function and expected value of this index in random increasing trees (rec...

Abstract This study investigates whether manufactured exports contribute to economic growth and imports can augment the role of in fostering export diversification. In case latter, also examines which categories are most likely facilitate long run. particular, focuses on Kuwait over period 1970–2019 utilizes a Cobb–Douglas production function augmented with primary imports. The long-run relatio...

Phase space reconstruction is investigated as a diagnostic tool for determining the structure of detected nonlinear processes in regression residuals. Empirical evidence supporting this approach is provided using simulations from an Ikeda mapping and the S&P 500. Results in the form of phase portraits (e.g., scatter plots of reconstructed dynamical systems) provide qualitative information to di...