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1 ys, we build a flight delay network for each airline.
2 th thousands of flights for each airport and airline?
4 ful for revealing, for example, evolution of airline alliances and responses to natural disasters or
5 practice as they have so dramatically in the airline and manufacturing industries over the preceding
7 are both mean delay and extreme events among airlines and airports, identifying a power-law decay of
8 gement of infectious diseases transmitted on airlines and should be familiar with guidelines provided
10 ublic health guidance and legislation, which airlines are required to follow, are often contradictory
12 as concrete, asphalt, human skin, currency, airline boarding passes, business cards, fruits, vegetab
20 onian path problem (in this case, finding an airline flight path between several cities, such that ea
21 w that it is possible to accurately estimate airline flight volumes using ADS-B data, which is availa
24 ausibility of an aircraft, such as Malaysian Airlines Flight 370 (MH370), crashing into the sea leavi
27 changes in particular environments, such as airline flights (decreased peripheral capillary oxygen s
28 esistant tuberculosis traveled on commercial-airline flights from Honolulu to Chicago and from Chicag
29 hnological, demographic and climatic change: airline flights have doubled since 2000, since 2007 more
34 Quality and safety in the manufacturing and airline industries have benefited from evidenced-based p
37 on among carriers, changes in regulations on airline industry, and socioeconomic events such as terro
38 ument that for large-scale offsetters in the airline industry, carbon credit purchases competed with
41 2015 this system was transported in standard airline luggage to Guinea and used for real-time genomic
43 and the centrality of airports in the global airline network made some regions more vulnerable to ear
44 nalyzes the layout of the RCEP international airline network, and the multi-layered characteristics b
45 l-service carriers in the RCEP international airline network, this paper identifies the hub airports,
46 ighest diversity values, while in a European airline network, we systematically identify the companie
49 hree multi-factorial indices, while detailed airline passenger data was used to identify the global c
50 -CoV-2 infection with PCR test positivity in airline passengers arriving in Qatar, February-April 202
56 crucially lacking evaluation indicators for airlines, potentially contributing to the mitigation of
57 Passengers and crew were identified from airline records and were notified of their exposure, ask
59 in universal metrics by which to evaluate an airline's operational effectiveness in delay alleviation
60 rom dual data mining, help characterize each airline's operational efficiency in delay mitigation.
62 y calls from five domestic and international airlines to a physician-directed medical communications
63 n short-scale commuting flows and long-range airline traffic in shaping the spatiotemporal pattern of
66 he role of the large scale properties of the airline transportation network in determining the global
69 tagions long-range edges-for example, due to airline transportation or communication media-allow clus
70 We leveraged genetic, epidemiological, and airline travel data between 2007-2023 to characterise th
71 at, under our proposed policy, international airline travel may resume up to 58% of the pre-pandemic
75 mply promoting code-share arrangements among airlines without altering their current schedule of oper