Hazard identification is the key step in risk assessment and management of manufactured nanomaterials (NM). However, the rapid commercialisation of nano-enabled products continues to out-pace the development of a prudent risk management mechanism that is widely accepted by the scientific community and enforced by regulators. However, a growing body of academic literature is developing promising...

The mode of action human relevance (MOA/HR) framework increases transparency in systematically considering data on MOA for end (adverse) effects and their relevance to humans. This framework continues to evolve as experience increases in its application. Though the MOA/HR framework is not designed to address the question of "how much information is enough" to support a hypothesized MOA in anima...

Theology is a discipline of major issues. We are interested in the fundamental questions of human existence, suffering and hope, identity and community, good and evil, history and future, salvation and damnation. We always run the risk of expanding our subject matter unto ‘the world and surroundings’. To avoid that, we have focused our joint attention in this book to the level of lived religion...

Drifting snow, the flow of dispersed snow particles near ground level under action wind, is a major form damage. When drifting occurs on railways, highways, and other transportation lines, it seriously affects their operational safety results in disasters. disasters frequently occur high latitudes northwest China. At present, most scholars are committed to studying prevention control measures b...

Binning is a categorization process to transform a continuous variable into a small set of groups or bins. Binning is widely used in credit scoring. In particular, it can be used to define the Weight of Evidence (WOE) transformation. In this paper, we first derive an explicit solution to a logistic regression model with one independent variable that has undergone a WOE transformation. We then u...

This paper proposed a novel method of decision fusion based on weights of evidence model (WOE). The probability rules from classification results from each separate dataset were fused using WOE to produce the posterior probability for each class. The final classification was obtained by maximum probability. The proposed method was evaluated in land cover classification using two examples. The r...

We investigate the effects of cueing, in a multimedia programme for the individualized training of the ‘whole task’ to prepare a plea, on the learning outcomes of 43 sophomore law students. The cueing formats of worked-out examples (WOEs), process worksheets (PWs), and both WOE and PW are compared to a no-cueing control condition. Our hypotheses that WOE enhance near transfer, by stimulating im...

Floods are among the most severe natural hazard phenomena that affect people around world. Due to this fact, identification of zones highly susceptible floods became a very important activity in researcher’s work. In context, present research work aimed propose following 3 novel ensembles estimate flood susceptibility Putna river basin from Romania: UltraBoost-Weights Evidence (U-WOE), Stochast...

Gully erosion is the most intensive type of water and it leads to land degradation across world. Therefore, analyzing spatial occurrence this phenomenon crucial for management. The objective research was predict gully susceptibility in Kakia-Esamburmbur catchment Narok, Kenya, which badly affected by erosion. GIS ensemble techniques using weight evidence (WoE) logistic regression (LR) models we...