Wisdom in the New Testament

Wold, Benjamin

doi:10.1002/9781119158288.ch19

Cited by 3 publications

(1 citation statement)

References 10 publications

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“…VIP is an indicator of the importance of explanatory variables in modeling the explanatory and objective variables [ 40 ]. The VIP of descriptors that have been used for the prediction model is arranged in descending order; it shows the top 10 descriptors.…”

Section: Resultsmentioning

confidence: 99%

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures

Nishikiori

Tanaka²,

Uesawa

2022

Mol Divers

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In designing drug dosing for hemodialysis patients, the removal rate (RR) of the drug by hemodialysis is important. However, acquiring the RR is difficult, and there is a need for an estimation method that can be used in clinical settings. In this study, the RR predictive model was constructed using the RR of known drugs by quantitative structure–activity relationship (QSAR) analysis. Drugs were divided into a model construction drug set (75%) and a model validation drug set (25%). The RR was collected from 143 medicines. The objective variable (RR) and chemical structural characteristics (descriptors) of the drug (explanatory variable) were used to construct a prediction model using partial least squares (PLS) regression and artificial neural network (ANN) analyses. The determination coefficients in the PLS and ANN methods were 0.586 and 0.721 for the model validation drug set, respectively. QSAR analysis successfully constructed dialysis RR prediction models that were comparable or superior to those using pharmacokinetic parameters. Considering that the RR dataset contains potential errors, we believe that this study has achieved the most reliable RR prediction accuracy currently available. These predictive RR models can be achieved using only the chemical structure of the drug. This model is expected to be applied at the time of hemodialysis. Graphic Abstract

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Section: Resultsmentioning

confidence: 99%

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures

Nishikiori

Tanaka²,

Uesawa

2022

Mol Divers

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Proverbs in Recent Research

Bellis

2022

Currents in Biblical Research

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This article briefly surveys major commentaries and monographs, as well as significant articles, on the book of Proverbs. The broader genre of wisdom literature, of which Proverbs is a key component, has been undergoing intense scrutiny. The question was whether there is a wisdom genre at all and if so how should it be defined. 2011–2020 was a period of intense research during which a paradigm shift was in progress. Other issues include structure and rhetorical features, divine retribution, and theology more broadly, moral self-development, pedagogy, corporal punishment, and economic and social justice. Non-western and indigenous readings and research from a gender-sensitive perspective have continued to be significant.

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The Wise within: Exploring the Foolish–Wise Vocabulary in the Pauline Tradition

Barbotti¹

2022

Annali di Scienze Religiose

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Wisdom in the New Testament

Cited by 3 publications

References 10 publications

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures

Construction of a prediction model for drug removal rate in hemodialysis based on chemical structures

Proverbs in Recent Research

The Wise within: Exploring the Foolish–Wise Vocabulary in the Pauline Tradition

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