Today, businesses need to reduce environmental impacts significantly along the entire value chain. Yet, full organisational product stewardship seems tough for extensive portfolios of several thousands individual products varying in material and functionality, as well production processes locations. In addition, identifying relevant levers improvement is more challenging with an increasing amou...

As technology node shrinks down, hotspots, i.e. patterning failures on wafer after etching process, become an inevitable problem. The main cause of such hotspots is low contrast of aerial image. There are several methods that can improve aerial image contrast such as SRAF insertion and OPC. However, it is difficult to fix all hotspots by applying only SRAF and OPC in advanced technology node. T...

Meiotic recombination hotspots play important roles in life sciences, but the regulatory mechanism remain unclear. To predict DNA sequence motifs that regulate recombination hotspots, we designed an open source software tool called “LDsplit” that detects SNPs (single nucleotide polymorphisms) associated with meiotic recombination hotspots. The association is measured by the difference of histor...

Abstract Land and forest fire disasters impact humans, biodiversity, the environment. Identification distribution of land vulnerabilities are essential so that disaster mitigation management can be fast, precise, prioritized. The research objectives to identify fires occurred in South Sumatra Province 2017–2021 period, environmental anthropogenic variables influence occurrence fires, map vulner...

Criminal activities are unevenly distributed over space. The concept of hotspots is widely used to analyze the spatial characters of crimes. But existing methods usually identify hotspots based on an arbitrary user-defined threshold with respect to the number of a target crime without considering underlying controlling factors. In this study we introduce a new data mining model – Hotspots Optim...

Hotspots of crime localized in space and time are well documented. Previous mathematical models of urban crime have exhibited these hotspots but considered a static or otherwise suboptimal police response to them. We introduce a program of police response to hotspots of crime in which the police adapt dynamically to changing crime patterns. In particular, they choose their deployment to solve a...