Overload link optimization scheme: Lin Xi introduced a greedy algorithm to improve the optimization strategy. (...) Optimize overloaded links genetic algorithm for topology optimization is 2. Optimize low-load links actually very complicated, finally only the greedy 3.
Language:English
Score: 716076.8
-
https://www.itu.int/en/publica.../files/basic-html/page111.html
Data Source: un
Real Government Savings
Normalization of the Loss function
NON optimal Policy Response to a 50% decrease in world export price of agri-food
NON optimal Policy Response to a 50% decrease in world export price of agri-food
NON optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a Negative Shock; trade-off between employment and government savings
2. Optimal selection of Macro closure rule : Trade liberalisation
NON optimal selection of Macro closure : trade liberalisation
NON optimal Selection of Macro Closure :Trade liberalisation
2. Optimal Selection of Macro Closure Rule
Optimal Selection of Macro Closure Rule
Optimal Selection of Macro Closure Rule; trade-off between GFCF and CAB
3.
Language:English
Score: 712387.55
-
https://www.cepal.org/sites/de...ship_for_economic_policy_0.pdf
Data Source: un
Real Government Savings
Normalization of the Loss function
NON optimal Policy Response to a 50% decrease in world export price of agri-food
NON optimal Policy Response to a 50% decrease in world export price of agri-food
NON optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a 50% decrease in world export price of agri-food
Optimal Policy Response to a Negative Shock; trade-off between employment and government savings
2. Optimal selection of Macro closure rule : Trade liberalisation
NON optimal selection of Macro closure : trade liberalisation
NON optimal Selection of Macro Closure :Trade liberalisation
2. Optimal Selection of Macro Closure Rule
Optimal Selection of Macro Closure Rule
Optimal Selection of Macro Closure Rule; trade-off between GFCF and CAB
3.
Language:English
Score: 712387.55
-
https://www.cepal.org/sites/de...ership_for_economic_policy.pdf
Data Source: un
The call for expressions of interest further indicated that “priority [would] be
given to those who apply for JO 77635 (G-3 posts) in order to optimize the cost of the
training”.
12. Out of 36 G-2 Security Officers, a total of 14 responded to the call for expressions
of interest, including the Applicants.
13. (...) This was the result of a managerial decision
that sought to optimize cost given that all participants in the “Pilot Project” had
applied and been recommended to participate in the selection process
for JO 77635;
g. (...) This claim, however, does not stand scrutiny as the
call for expressions of interest for the Pilot Project advised that, to optimize cost,
priority would be given to Pilot Project participants who would also apply for
JO 77635 (see paras. 10 and 11 above).
33.
Language:English
Score: 712287.9
-
www.un.org/en/internalj...dt/judgments/undt-2020-184.pdf
Data Source: oaj
These include the WHO-led Paediatric Antiretroviral Drug Optimization (PADO) group, which has established medium- and long-term priorities for drug development to accelerate access to optimal formulations, in the context of fragmented markets for ARV drugs in children. (...) This aligns with the agenda to optimize research on antiretroviral therapy that has been established for adults.
WHO Jim Holmes
©
Credits
Related technical information
Treatment and care in adults
Treatment and care in children and adolescents
Pregnant and lactating women and girls
Monitoring toxicity of antiretrovirals
Monitoring HIV drug resistance
Meeting reports
Adults
Update on the transition to dolutegravir-based antiretroviral therapy - 2022
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
WHO think-tank meeting on optimizing antiretroviral therapy: meeting report - 2020
2nd WHO Adult Treatment Working Group Meeting on Treatment Optimization of HIV - 2019
WHO Adult HIV Treatment Working Group Meeting on Treatment and Monitoring Optimization of HIV - 2018
Think Tank: HIV treatment transition and drug sequencing in the context of new ARVs - 2017
Third conference on antiretroviral drug optimization (CADO 3) - 2017
WHO Think Tank on HIV treatment optimization - 2016
Treatment Optimization of HIV and Hepatitis C: implications for future updates of WHO guidelines - 2015
WHO informal consultation on medium- and long-term priorities for ARV drug optimization: moving towards simplification, harmonization and universal access - 2012
Short-term priorities for antiretroviral drug optimization - 2011
Pregnant & lactating women
Research for informed choices: Accelerating the study of new drugs for HIV in pregnant and breastfeeding women - 2021
Approaches to enhance and accelerate study of new drugs for HIV and associated infections in pregnant women - 2021
Approaches to optimize and accelerate pharmacology studies in pregnant and lactation women - 2019
Children & adolescents
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
Virtual workshop on postnatal prophylaxis to reach elimination of HIV vertical transmission: optimizing research and accelerating access to innovation
Paediatric ARV drug optimization - PADO4
Paediatric ARV drug optimization - PADO3
Paediatric ARV drug optimization - PADO2
Paediatric ARV drug optimization - PADO1
Technical documents & tools
WHO Paediatric ARV dosing dashboard
2021 dosages of ARV drugs
(Consolidated guidelines on HIV prevention, testing, treatment, service delivery and monitoring: recommendations for a public health approach - Annex 1, July 2021)
Download PDF (600 kB)
Key peer-review publications
The HIV drug optimization agenda: promoting standards for earlier investigation and approvals of antiretroviral drugs for use in adolescents living with HIV
The HIV drug optimization agenda: promoting standards for earlier investigation and approvals of antiretroviral drugs for use in adolescents living with HIV
J Int AIDS Soc. ;23 Suppl 5(Suppl 5):e25576. 2020 September
Prioritising the most needed paediatric antiretroviral formulations: the PADO4 list
Prioritising the most needed paediatric antiretroviral formulations: the PADO4 list
Lancet HIV. 2019 Sep;6(9):e623-e631
Current and future priorities for the development of optimal HIV drugs
Current and future priorities for the development of optimal HIV drugs
Curr Opin HIV AIDS. 2019 Mar;14(2):143-149.
Language:English
Score: 709351.76
-
https://www.who.int/groups/ant...retroviral-drug-optimization/3
Data Source: un
A detailed explanation is as follows: The DSF service provider configures the single virtual volume based on the cloud storages provided by DSF local storage provider. The following optimization policies can be applied and the decision of the optimization policy can be done by the DSF service customer according to his requirements. (1) The DSF local storage provider registered multiple cloud storages to the DSF service provider. (2) DSF service provider provides optimization tool for a single virtual volume. (3) DSF service customer chooses optimization policy related with; A. data safety and storage performance (a): DSF service providers provide a binding function that configures a virtual, single data storage for efficient management of distributed data storage that is available to customers. (...) Therefore, the DSF service provider provides optimization not only for the performance for each data storage but also for the network situation at the user's location. Virtual data storage provides real- time switching function to the best possible data storage depending on the customer's location. (4) Based on the optimization policy selected by the customer, the DSF service provider optimizes the service.
Language:English
Score: 708982
-
https://www.itu.int/en/publica.../files/basic-html/page284.html
Data Source: un
Page 142 - Cloud computing: From paradigm to operation
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1 Framework and requirements for cloud computing I.10 A use case of storage optimization Title A use case for storage optimization based on the customer's purpose in data storage federation Description When a DSF local storage provider provides the information of his/her cloud storage services with a DSF service provider, the DSF service provider optimizes a single virtual volume according to the requirements of the user, such as data safety and storage performance. (...) Therefore, the DSF service provider provides optimization not only for the performance for each data storage but also for the network situation at the user's location. Virtual data storage provides real- time switching function to the best possible data storage depending on the customer's location. (4) Based on the optimization policy selected by the customer, the DSF service provider optimizes the service.
Language:English
Score: 708982
-
https://www.itu.int/en/publica.../files/basic-html/page142.html
Data Source: un
The AI-based network topology Meters optimization system introduced in this paper is Fig. 8 – Proportion of links with balanced load in different proposed based on ITU AI standards, and features: optimization stages 1) Creativity: It addresses difficulties and The above-mentioned solution introduces a promotes the development of intelligent complete network topology optimization system for networks by applying cutting-edge AI effective resolution of network topology problems, technologies to operator networks. as shown in Fig. 9 below. 2) Enhanced traffic forecast algorithm: It enables more accurate traffic forecasting. 3) A complete network topology analysis and optimization structure: The concepts of neighbor, node removing method, and three- step network topology optimization that are introduced for the first to the industry effectively accelerate the network topology analysis. Moreover, the network restructuring Fig. 9 – A complete network topology optimization system fixes the defects of existing network topologies, 4. (...) The network example, building a middleware platform to open topology optimization model proposed in this paper data and solve problems together, organizing more is optimized based on the actual size of the network competitions and building the ecosystem for that we worked on in the study.
Language:English
Score: 708777.93
-
https://www.itu.int/en/publica.../files/basic-html/page103.html
Data Source: un
WHO Jim Holmes
©
Credits
Related technical information
Treatment and care in adults
Treatment and care in children and adolescents
Pregnant and lactating women and girls
Monitoring toxicity of antiretrovirals
Monitoring HIV drug resistance
Meeting reports
Adults
Update on the transition to dolutegravir-based antiretroviral therapy - 2022
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
WHO think-tank meeting on optimizing antiretroviral therapy: meeting report - 2020
2nd WHO Adult Treatment Working Group Meeting on Treatment Optimization of HIV - 2019
WHO Adult HIV Treatment Working Group Meeting on Treatment and Monitoring Optimization of HIV - 2018
Think Tank: HIV treatment transition and drug sequencing in the context of new ARVs - 2017
Third conference on antiretroviral drug optimization (CADO 3) - 2017
WHO Think Tank on HIV treatment optimization - 2016
Treatment Optimization of HIV and Hepatitis C: implications for future updates of WHO guidelines - 2015
WHO informal consultation on medium- and long-term priorities for ARV drug optimization: moving towards simplification, harmonization and universal access - 2012
Short-term priorities for antiretroviral drug optimization - 2011
Pregnant & lactating women
Research for informed choices: Accelerating the study of new drugs for HIV in pregnant and breastfeeding women - 2021
Approaches to enhance and accelerate study of new drugs for HIV and associated infections in pregnant women - 2021
Approaches to optimize and accelerate pharmacology studies in pregnant and lactation women - 2019
Children & adolescents
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
Virtual workshop on postnatal prophylaxis to reach elimination of HIV vertical transmission: optimizing research and accelerating access to innovation
Paediatric ARV drug optimization - PADO4
Paediatric ARV drug optimization - PADO3
Paediatric ARV drug optimization - PADO2
Paediatric ARV drug optimization - PADO1
Technical documents & tools
16 July 2021
Transitioning to the 2021 optimal formulary for antiretroviral drugs for children:...
Antiretroviral treatment optimization is a key pillar in the AIDS Free agenda. (...) Download
Read More
26 April 2021
The 2021 optimal formulary and limited-use list for antiretroviral drugs for children
The WHO 2021 guideline promotes the use of optimal antiretroviral treatment (ART) regimens in all populations.
Language:English
Score: 708629.93
-
https://www.who.int/groups/antiretroviral-drug-optimization
Data Source: un
WHO Jim Holmes
©
Credits
Related technical information
Treatment and care in adults
Treatment and care in children and adolescents
Pregnant and lactating women and girls
Monitoring toxicity of antiretrovirals
Monitoring HIV drug resistance
Meeting reports
Adults
Update on the transition to dolutegravir-based antiretroviral therapy - 2022
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
WHO think-tank meeting on optimizing antiretroviral therapy: meeting report - 2020
2nd WHO Adult Treatment Working Group Meeting on Treatment Optimization of HIV - 2019
WHO Adult HIV Treatment Working Group Meeting on Treatment and Monitoring Optimization of HIV - 2018
Think Tank: HIV treatment transition and drug sequencing in the context of new ARVs - 2017
Third conference on antiretroviral drug optimization (CADO 3) - 2017
WHO Think Tank on HIV treatment optimization - 2016
Treatment Optimization of HIV and Hepatitis C: implications for future updates of WHO guidelines - 2015
WHO informal consultation on medium- and long-term priorities for ARV drug optimization: moving towards simplification, harmonization and universal access - 2012
Short-term priorities for antiretroviral drug optimization - 2011
Pregnant & lactating women
Research for informed choices: Accelerating the study of new drugs for HIV in pregnant and breastfeeding women - 2021
Approaches to enhance and accelerate study of new drugs for HIV and associated infections in pregnant women - 2021
Approaches to optimize and accelerate pharmacology studies in pregnant and lactation women - 2019
Children & adolescents
Priorities for antiretroviral drug optimization in adults and children report of a CADO, PADO and HIVResNet joint meeting - 2022
Virtual workshop on postnatal prophylaxis to reach elimination of HIV vertical transmission: optimizing research and accelerating access to innovation
Paediatric ARV drug optimization - PADO4
Paediatric ARV drug optimization - PADO3
Paediatric ARV drug optimization - PADO2
Paediatric ARV drug optimization - PADO1
Technical documents & tools
16 July 2021
Transitioning to the 2021 optimal formulary for antiretroviral drugs for children:...
Antiretroviral treatment optimization is a key pillar in the AIDS Free agenda. (...) Download
Read More
26 April 2021
The 2021 optimal formulary and limited-use list for antiretroviral drugs for children
The WHO 2021 guideline promotes the use of optimal antiretroviral treatment (ART) regimens in all populations.
Language:English
Score: 708629.93
-
https://www.who.int/groups/ant...retroviral-drug-optimization/1
Data Source: un