Lessons from building an automated pre-departure sequencer for airports
نویسندگان
چکیده
منابع مشابه
Lessons from building an automated pre-departure sequencer for airports
Commercial airports are under increasing pressure to comply with the Eurocontrol Collaborative Decision Making (CDM) initiative, to ensure that information is passed between stakeholders, integrate automated decision support or make predictions. These systems can also aid effective operations beyond the airport by communicating scheduling decisions to other relevant parties, such as Eurocontrol...
متن کاملFootprinting with an automated capillary DNA sequencer.
Footprinting is a valuable tool for studying DNA-protein contacts. However, it usually involves expensive, tedious and hazardous steps such as radioactive labeling and analyses on polyacrylamide sequencing gels. We have developed an easy four-step footprinting method involving (i) the generation and purification of a PCR fragment that is fluorescently labeled at one end with 6-carboxyfluorescei...
متن کاملArrival and Departure Scheduling at Hub Airports Considering Airlines Level
As the air traffic increases at a hub airport, some flights cannot land or depart at their preferred target time. This event happens because the airport runways become occupied to near their capacity. It results in extra costs for both passengers and airlines because of the loss of connecting flights or more waiting, more fuel consumption, rescheduling crew members, etc. Hence, devising an appr...
متن کاملElectrophoretic mobility shift scanning using an automated infrared DNA sequencer.
Electrophoretic mobility shift assay (EMSA) is widely used in the study of sequence-specific DNA-binding proteins, including transcription factors and mismatch binding proteins. We have established a non-radioisotope-based protocol for EMSA that features an automated DNA sequencer with an infrared fluorescent dye (IRDye) detection unit. Our modification of the elec- trophoresis unit, which incl...
متن کاملAn automated framework for QSAR model building
BACKGROUND In-silico quantitative structure-activity relationship (QSAR) models based tools are widely used to screen huge databases of compounds in order to determine the biological properties of chemical molecules based on their chemical structure. With the passage of time, the exponentially growing amount of synthesized and known chemicals data demands computationally efficient automated QSA...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Annals of Operations Research
سال: 2015
ISSN: 0254-5330,1572-9338
DOI: 10.1007/s10479-015-1960-z