Unlike previous studies on fixed logistics nodes, this research explored how consumer distribution impacts store selection and inventory balance, integrating the "ship-from-store" strategy to increase fulfillment within multiperiod sales plans. Specifically, omnichannel retailers (O-tailer) must sequentially decide on inventory…

This concept paper proposes a way of mapping educational landscapes to clarify the practice of experiential programming. It initially reviews how experiential education has been defined and suggestions for better definitional clarity. It then examines a recent initiative commissioned by the Society for Experiential Education to update its…

This article focuses on describing a systematic model for constructing, describing, and interpreting logarithmic diagrams as a graphical method for representing redox chemical equilibria. This model considers concepts such as electron potential (p[subscript e]), the chemical equilibrium constant (K[subscript d]), and the standard reduction…

In the dynamic landscape of tertiary education, fostering innovation, adaptability, and enhanced institutional performance hinges on the effective management of knowledge. Responding to this challenge, this study introduces a novel model, the DNA model of a tertiary education institution, for systematically advancing knowledge management practices…

A linear model is often used to find the effect of a binary treatment D on a noncontinuous outcome Y with covariates X. Particularly, a binary Y gives the popular "linear probability model (LPM)," but the linear model is untenable if X contains a continuous regressor. This raises the question: what kind of treatment effect does the…

In this study, which focuses on selecting the material and predicting its mechanical behaviors in materials science, an Artificial Neural Network (ANN) was used to predict and simulate the low-speed impact effects of hybrid nano-doped aramid composites. There are not enough studies about open education practices in this field. Since error values…

Generative artificial intelligence (AI) is increasingly presented as a potential substitute for humans, including as research subjects. However, there is no scientific consensus on how closely these in silico clones can emulate survey respondents. While some defend the use of these "synthetic users," others point toward social biases in…

Researchers concerned about intergenerational inequalities study "absolute" and "relative" mobility (e.g., whether people's adult incomes exceed their parents' incomes in "dollars" or "ranks"). Absolute and relative mobility are connected, by definition. Yet, they are not equivalent. Indeed, they often…

In exploring how ritualized activities can help to nurture children's spiritual growth, this article encourages a re-thinking of what ritual involves. The link between ritual and routine is explored. Distinctions are drawn between personal and collective and between 'everyday' and 'special occasion' rituals, with neither the sole preserve of…

This study extends prior work on power analysis in two-level meta-analysis and provides methods on power analysis for univariate three-level meta-analysis. In a three-level hierarchical structure effect sizes are nested within studies, which in turn are nested within research groups of investigators. Consequently, the three-level model takes into…

Instruction often spans multiple phases (e.g., phases of discovery learning, instructional explanations, practice) with different learning goals and different pedagogies. For any combination of multiple phases, we use the term composite instructional design (CID). To understand the mechanisms underlying composite instructional designs, we propose…

Artificial intelligence (AI) systems and applications have become ubiquitous across daily life. While AI offers numerous positive opportunities, it also presents numerous challenges. Information literacy (IL) advocates are concerned about the risks that accompany AI systems. Given the universal reach of AI with its potential pitfalls and perils,…

We review common situations in Bayesian latent variable models where the prior distribution that a researcher specifies differs from the prior distribution used during estimation. These situations can arise from the positive definite requirement on correlation matrices, from sign indeterminacy of factor loadings, and from order constraints on…

An individual competence is one of the main human resources, which enables a person to operate in everyday life. A competence profile, formally captured and described as a structured model, may enable various operations, e.g., a more precise evaluation and closure of a training gap. Such application scenarios supported by information systems are…

Pearson's correlation is widely used to test for an association between two variables and also forms the basis of several multivariate statistical procedures including many latent variable models. Spearman's [rho] is a popular alternative. These procedures are compared with ranking the data and then applying the inverse normal transformation, or…