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The deployment of WAM will extend with the deployment of ADS-B as the WAM infrastructure contains an ADS-B infrastructure. (...) Complements ADS-B deployment and/or ASDE at some airports Table 2. (...) ITP). ADS-C Readily available. The surveillance service of ADS-C could potentially be augmented by ADS-B through satellite after 2020.
Language:English
Score: 1036057 - https://www.icao.int/Meetings/...Ps/ANConf.12.IP.004.1.1.en.pdf
Data Source: un
The following NAAT assays or classes of NAAT assays will be discussed by the GDG: Centralized assays that present end-to-end solutions for detection of TB and resistance to rifampicin and isoniazid (cDST:  Index test 1 ); Cartridge-based technology for isoniazid and second-line drug resistance detection (XDR cartridge:  Index test 2 ); Hybridization-based technology for pyrazinamide resistance detection (PZA LPA:  Index test 3 ). (...) The use of a genotypic sequencing results where available will have an added value to confirm the presence of mutations in addition to phenotypic DST results. (...) Study population:  Patients with detected TB, requiring evaluation for resistance to isoniazid and second-line anti-TB agents in sites of intended use.
Language:English
Score: 1031810.2 - https://www.who.int/news/item/...nce-to-selected-anti-tb-agents
Data Source: un
There are two commonly recognized types of ADS for aircraft applications:  ADS-Addressed (ADS-A) more commonly called ADS-Contract (ADS-C), and  ADS-Broadcast (ADS-B). ADS-C is based on a contractual relationship between an aircraft providing ADS information and a ground facility requiring receipt of ADS messages. (...) The emission would start within seconds of detection and continue until the detection criteria have disappeared.
Language:English
Score: 1026784.8 - https://www.icao.int/Meetings/...d%20localisation%20options.pdf
Data Source: un
Proposal to set up an ad-hoc working group on AI for COVID-19 - Att.1: Presentation FGAI4H-I-026-A01 E-meeting, 7-8 May 2020 Source: CAICT, PAHO Title: Proposal to set up an ad-hoc working group on AI and other digital technologies for COVID-19 health emergency (WG-WE) - Att.1: Presentation Purpose: Discussion Contact: Ana Rivière Cinnamond (PAHO/WHO) Email: rivierea@paho.org Shan Xu (CAITC) Email: xushan@caict.ac.cn Abstract: This PPT contains a proposal to set up an ad-hoc working group on AI for COVID-19. 1 Proposal to set up an ad-hoc working group on AI for COVID-19 Ana Rivière Cinnamond (PAHO/WHO) Shan Xu (CAITC) Introduction Rationale WHO proposed a collection on anonymized COVID-19 clinical data and built a data platform for COVID-19 clinical data ITU-WHO released a Joint Statement on unleashing information technology to defeat COVID-19 The World Bank, the International Telecommunication Union (ITU), GSMA and the World Economic Forum launched COVID-19 Crisis Response: Digital Development Joint Action Plan and Call for Action Extraordinary G20 Digital Economy Ministerial Meeting: COVID-19 Response Statement (Apr 30) Scope This ad-hoc working group on COVID-19 health emergency (WG-HE) is aimed at covering the entire cycle of an epidemic emergency, encompassing the following: prevention and preparedness, outbreak early detection, surveillance and response, recovery, rehabilitation, mitigation, etc. (...) Specific issues Targeted to COVID-19: With the urgency on fighting against COVID-19 worldwide, this ad-hoc WG focuses on the COVID-19 pandemic. No conflicts with TG-Outbreak nor with TG-Symptom: The TG-Outbreak focuses on AI solutions on early detection of outbreaks, and this group plans to cover the many stages of epidemic emergency. (...) Clinical diagnostics: speeding triag, diagnostic and treatment techniques (imaging, clinical algorithms) Early detection of cases: geolocation, movement, facial recognition etc.
Language:English
Score: 1017221 - https://www.itu.int/en/ITU-T/f...ents/all/FGAI4H-I-026-A01.pptx
Data Source: un
Log-On from Aircraft not declaring ADS-C capacity in FP 4. Unknown ADS-C messages are received. 5. A/Cs remain ADS-C connected after exiting airspace 6. A/Cs remain ADS-C connected after landing 7. Different reports in the same ADS-C message. 8. Identical reports of Waypoint Change received in an ADS-C message 9.
Language:English
Score: 1009261.3 - https://www.icao.int/WACAF/Doc...WP%2003%20-%20CFRA-APPENDX.pdf
Data Source: un
Specifically, if the data indicated an emitter category of An or Bn then it was counted as a Mode S aircraft as well as an ADS-B aircraft. ADS-B Activity Report for October 2011 Page 4 of 37 http://www.dissrr.com/ADSB/ 5533-I001-11/2011 Figure 3-2 shows the percentage of ADS-B Aircraft emitting positional data. • Of the 12,004 ADSB equipped aircraft detected by the Honeywell receiver sites 6,725 (56.02%) emitted airborne position messages. (...) This includes totals from both the Honeywell receiver sites and the GBT sites. • Honeywell is focused on processing and integrating the 1090-ES data since it represents the vast majority of ADS-B emitters at this time. Figure 3-4 shows the counts of Mode S and ADS-B airframes detected at the Honeywell sites over the past 3 years. • The number of Mode S aircraft has increased from 57,708 in October 2008 to 89,662 in October 2011. • The number of ADS-B aircraft detected has increased from 8,050 in October 2008 to 12,004 in October 2011. (...) There have been 1138 DO-260A aircraft detected by the Honeywell 1090 Ground Stations. This has increased from 185 DO-260A aircraft detected as of September 2008. • DO260A aircraft make up 9.48% of the total ADS-B aircraft detected at the Honeywell 1090 Ground Stations.
Language:English
Score: 1006863.1 - https://www.icao.int/NACC/Docu...y%20Report-November%202011.pdf
Data Source: un
Of the 41 products, 16 detect P. falciparum alone, 22 detect and differentiate P. falciparum from non-P. falciparum malaria1, and 3 detect P. falciparum and non-P. falciparum malaria without distinguishing between them. (...) Several RDTs are available that demonstrated consistent • detection of malaria at low parasite densities (200 parasites/μl), have low false positive rates, are stable at tropical temperatures, are relatively easy to use, and can detect P. falciparum, P. vivax infections, or both. Performance between products varied widely at low • parasite density (200 parasites/μl); however, most products showed a high level of detection at 2000 or 5000 parasites/μl. • P. falciparum tests targeting HRP2 antigen demonstrated the highest detection rates, but some tests targeting pLDH also exhibited high detection rates.
Language:English
Score: 1000018.75 - https://www.who.int/tdr/news/d...utive-summary-malaria-RDTs.pdf
Data Source: un
Of the 41 products, 16 detect P. falciparum alone, 22 detect and differentiate P. falciparum from non-P. falciparum malaria1, and 3 detect P. falciparum and non-P. falciparum malaria without distinguishing between them. (...) Several RDTs are available that demonstrated consistent • detection of malaria at low parasite densities (200 parasites/μl), have low false positive rates, are stable at tropical temperatures, are relatively easy to use, and can detect P. falciparum, P. vivax infections, or both. Performance between products varied widely at low • parasite density (200 parasites/μl); however, most products showed a high level of detection at 2000 or 5000 parasites/μl. • P. falciparum tests targeting HRP2 antigen demonstrated the highest detection rates, but some tests targeting pLDH also exhibited high detection rates.
Language:English
Score: 1000018.75 - https://www.who.int/tdr/public...utive-summary-malaria-rdts.pdf
Data Source: un
The InfA primer and probe set is designed for universal detection of type A influenza viruses. The swInfA primer and probe set is designed to specifically detect all swine influenza A viruses. (...) Vortex 3. Real-time PCR detection system with a 96-well format thermocycler reaction block. (...) HSC should be added after the samples have been added (column 11) to check for cross-contamination during sample preparation or addition.
Language:English
Score: 999635.5 - https://www.who.int/csr/resour...SwineH1Assay-2009_20090430.pdf
Data Source: un
Some of the options to consider are public data release, limited data release to certain organizations, release of pre-computed indicators or a question-and-answer model for specific cases. https://www.nature.com/articles/sdata2018286 - The number of posts and messages containing mis or disinformation detected in a selected time frame, and mechanisms which could allow an estimate of its representativeness - e.g. what percentage of the total content (by number of accounts, by daily traffic, etc.) that number represents. - The number of users who saw, engaged with, reacted to, and shared/forwarded those posts and messages, and mechanisms to infer their representativeness. - Detection of source of the content, particularly in regard to it originating on (or referencing/linking to) other platforms and/or services. - Metadata needed to understand content ‘mutated’/ adapted from past occurrences (zombies) or across content types and platforms. - The number of users who saw those posts and messages, and what percentage of the total user base that number represents. (...) - Regular evaluations of how the content moderation pipeline is working to detect and acto on misinformation/disinformation. - A characterization and quantification of the number of actors including bots, fake accounts, and “super spreader” accounts that have been shut down for propagating disinformation. - Percentage of flagged content that gets reviewed and removed for violating policy, time to removal of flagged misinformation/disinformation, and number of impressions/engagements/shares before removal. - The actions taken once a post is determined to be false (changes in promotion of post, addition of warning labels, etc.) - The number of posts and of ads containing misinformation/disinformation which have been labelled, blocked, and/or removed; the percentage of volume that these figures represent. — 2 — - The number of posts and ads, subject to the measures described above, which were later overturned on appeal. - The number of post removals requested by governments, the number of governments submitting removal requests, requests by non-state actors for content removal, and the percentage of moderation actions led by automated systems. (...) Advertising To provide increased transparency, the companies should make the following data available: - A categorization and quantification of advertising related to misinformation/disinformation, including the content-related factors mentioned above (e.g. ad quantity, format, representativeness, engagement, and sources) - Metrics on advertising, especially political advertising (e.g. ad spend, advertiser, micro- targeting of individuals and groups with protected characteristics) - Types of automated (programmatic) advertising (such as timing of ads; bidding for slots; A/B testing of variants) as a percentage of total advertising 5.
Language:English
Score: 996705.9 - https://www.un.org/techenvoy/s..._InteragencyDialogue1_v2_0.pdf
Data Source: un