Sustainability ScienceSeele P (2016) Envisioning the digital sustainability panopticon: a thought experiment of how big data may help advancing sustainability in the digital age. Sustain Sci 11(5):845-854Seele P (2016) Envisioning the digital sustainability panopticon: a thought experiment of how ...
and has been an integral dimension of many urban livability assessments (see Introduction and beginning of this section). POIs can point to locations catering services for the needs of urban residents, ranging from shops to educational facilities, health facilities, sports venues, and...
In subject area:Computer Science Data Infrastructure refers to the backbone system that transmits information from card readers to controllers, servers, and workstations in a network. It supports various communication protocols like Ethernet, enabling the connection of different technologies such as CCTV...
in order, which will set you on the path for implementing DevOps in Data Science. The first thing you can do in your projects is to implement Infrastructure as Code (IaC) , and the second thing to focus on is Continuous Integration (...
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By adopting open source and open science approaches, we hope the developed deep-time knowledge base will be a long-term, reusable resource for data-driven discovery in geoscience. CODE AVAILABILITY All dataset and code of this project is made open on GitHub and Zenodo under MIT ...
We suggest that biobanks shoulder significant respon- sibility for seeing that the biobank research system addresses the return question explicitly. When reidentification of individual con- tributors is possible, the biobank should work to enable the biobank research system to discharge four core ...
The Ghawar field is the largest onshore oil reservoir in operation, with waterflooding used to maintain pressure and to sustain oil production. This reservoir is a highly heterogeneous carbonate, containing faults, fractures and high-permeability zones (Al-Shahri and Al-Muraikhi, 1998). For effect...
Concern is emerging regarding the challenges posed by spatial complexity for modelling and managing the area-wide elimination of parasitic infections. While this has led to calls for applying heterogeneity-based approaches for addressing this complexity,
We are planning to extend the python() plugin features and capabilities to better fit ML and Data Science workloads. We want to better understand your use cases, required features, existing blockers. Please take less than 5 minutes (really ...