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Panelists from academic, government and institutional sectors presented varying points of view on the causes, impacts and policy options of excessive price volatility in food and commodity markets. The extent to which excessive price volatility is a function of speculative trading in the futures markets was the key area of contention among the panelists and was rigorously debated. (...) The objectives of the debate were four-fold: 1) contribute towards developing a global consensus on the impacts of excessive speculative activity on commodity futures markets; 2) promote robust dialogue on how to best address excessive speculation in food and related commodity markets; 3) begin a process in which Member States assess and monitor the effects of excessive speculative activity; 4) advance global governance and the achievement of the Millennium Development Goals (MDGs).
Language:English
Score: 743659.57 - https://www.cepal.org/es/node/33326
Data Source: un
Public Health Implications of Excessive Use of the Internet, Computers, Smartphones and Similar Electronic Devices. (...) Public Health Implications of Excessive Use of the Internet, Computers, Smartphones and Similar Electronic Devices. (...) WHO Department of Mental Health and Substance Abuse has started activities on public health implications of excessive use of the Internet, computers, smartphones and similar electronic devices in 2014 in response to the concerns expressed by professional groups, WHO collaborating centers, academics and clinicians about public health relevance of health conditions associated with excessive use of the Internet and other communication and gaming platforms.
Language:English
Score: 741683.8 - https://www.who.int/publicatio...-detail-redirect/9789241509367
Data Source: un
Panelists from academic, government and institutional sectors presented varying points of view on the causes, impacts and policy options of excessive price volatility in food and commodity markets. The extent to which excessive price volatility is a function of speculative trading in the futures markets was the key area of contention among the panelists and was rigorously debated. (...) The objectives of the debate were four-fold: 1) contribute towards developing a global consensus on the impacts of excessive speculative activity on commodity futures markets; 2) promote robust dialogue on how to best address excessive speculation in food and related commodity markets; 3) begin a process in which Member States assess and monitor the effects of excessive speculative activity; 4) advance global governance and the achievement of the Millennium Development Goals (MDGs).
Language:English
Score: 740566.94 - https://www.cepal.org/pt-br/node/33326
Data Source: un
TABLE IV-7 – Statistics of cloud cover - 4 - TABLE IV-9 – Annual and Monthly Statistics of Tropospheric Excess Path Length + Station number _ _ _ _ _ _ Type of instrument _ _ _ _ _ (MWRD= Microwave radiometer, RAOB= radiosonde, GNSSRx= Global Navigation Satellite System Receiver) site name _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ country (1) _ _ latitude (–90..+90) (degrees) _ _ _ SYMBOL 215 \f "Symbol" _ _ _ _ longitude (0..360) (degrees) E _ _ _ SYMBOL 215 \f "Symbol" _ _ _ _ altitude amsl hgr (m) _ _ _ _ antenna height ag hr (m) _ _ _ _ (only for the MWRD and GNSR) MWRD 3 dB beamwidth r (degrees) _ _ _ SYMBOL 215 \f "Symbol" _ _ antenna type _ _ _ _ _ _ _ _ _ _ only for MWRD or GNSR MWRD antenna diameter D (m) _ _ _ SYMBOL 215 \f "Symbol" _ _ _ MWRD antenna feed type _ _ _ _ _ _ _ _ _ _ MWRD radome? (...) (Y/N) _ _ _ _ _ _ Table a1 (3, 5) : Vertical Total Excess Path Delay, Lv , exceeded for percentage of time (m) Percentage of year 0.1 10 95 0.2 20 99 0.3 30 0.5 50 1 60 2 70 3 80 5 90 Lv exceeded (kg/m2 or mm) - - - - - - - - - - - - - - - - - - Table a2 (3, 5) : Vertical Hydrostatic Excess Path Delay, LHv , exceeded for percentage of time (m) Percentage of year 0.1 10 95 0.2 20 99 0.3 30 0.5 50 1 60 2 70 3 80 5 90 LHv exceeded (kg/m2 or mm) - - - - - - - - - - - - - - - - - - Table a3 (3, 5) : Vertical Wet Excess Path Delay, LWv , exceeded for percentage of time (m) Percentage of year 0.1 10 95 0.2 20 99 0.3 30 0.5 50 1 60 2 70 3 80 5 90 LWv exceeded (m) - - - - - - - - - - - - - - - - - - Table b1 (2, 5) : mV = Mean value of Vertical Total Excess Path Delay, Lv , of the month V = Standard deviation of Vertical Total Excess Path Delay, Lv , of the month Month of year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec mV (m) V (m) Instrument up-time (3) (%) Table b2 (2, 5) : mV = Mean value of Vertical Hydrostatic Excess Path Delay, LHv , of the month V = Standard deviation of Vertical Hydrostatic Excess Path Delay, LHv , of the month Month of year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec mV (m) V (m) Instrument up-time (3) (%) Table b3 (2, 5) : mV = Mean value of Vertical Wet Excess Path Delay, LWv , of the month V = Standard deviation of Vertical Wet Excess Path Delay, LWv , of the month Month of year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec mV (m) V (m) Instrument up-time (3) (%) References: Comments: (1) Use ISO 3166-1 alpha-2 country codes.. (2) Wherever possible values of mV and V for both individual years (= 12 consecutive months) and multi-year observation periods. (3) If outages occurred in the measurement of water vapour columnar content, provide in comments information on when the outage occurred. (4) Duration is the total time of valid measurements for this dataset, expressed as a real number (e.g. 339.888 days).
Language:English
Score: 740004.54 - https://www.itu.int/dms_pub/it.../0a/04/R0A0400007B0001MSWE.doc
Data Source: un
Armed with knowledge about their smoking history and about the precise link between the behaviour and excess mortality, we can estimate smoking- attributable risk and associated excess mortality for those cohorts. (...) We refer to this mortality excess at older ages between groups A and B as the Barker-effect. (...) The excess mortality attributable to obesity (overweight and obese) that is mediated by diabetes is equivalent to p(d|o)(e-1)), where p(d|o) is the conditional probability of diabetes among the overweight and obese and e is the excess mortality among diabetics.
Language:English
Score: 735201.1 - https://www.un.org/development...gevity_in_the_21st_century.pdf
Data Source: un
ITU-T RECOMMENDATION Draft revised ITU-T Recommendation P.360 Efficiency of devices for preventing the occurrence of excessive acoustic pressure by telephone receivers and assessment of daily noise exposure of telephone users Summary It is known that an excessive acoustic pressure level may produce auditory damage to the users. To prevent the occurrence of excessive acoustic pressure generated by the earphones of handset or headset, the telephony terminal equipment needs to implement devices to limit the acoustic pressure level. (...) It includes also some guidance to avoid speech degradation due to the use of devices implemented in the terminal to prevent the occurrence of excessive acoustic pressure. Printed in Switzerland Geneva, 1998
Language:English
Score: 733845.5 - https://www.itu.int/itudoc/itu...aap/history/p360/p360s_ww9.doc
Data Source: un
The share of excess deaths (as compared to RP) is obviously higher in summer (11.3%) than in the warm period (6.4%). (...) The analysis revealed the highest number of excess deaths for circulatory system diseases - 140 excess deaths as compared to the reference period, most of which were recorded during the summer months (139 cases). (...) Not all of these excess deaths can be dependent on high temperatures, as only some of the natural focal diseases show excess deaths in summer months as well.
Language:English
Score: 732011.7 - https://www.ohchr.org/sites/de...SafeClimate/State/Moldova.DOCX
Data Source: un
This suggests that the diversity gain in Greece is much higher since the corresponding single link excess attenuation experienced at 0.01% of the time is also much greater than in the UK. Fig. 5 - Average annual complementary cumulative distribution of excess attenuation in Greece in comparison with the ITU-R predictions Fig. 3 - Average annual complementary cumulative distribution of excess attenuation in Greece in comparison with the ITU-R P.618-13 predictions Fig. 6 - Average annual complementary cumulative distribution of excess attenuation in the UK in comparison with the ITU-R predictions The independent joint attenuation cumulative attenuation statistics [12], i.e. the product of the single attenuation statistics, clearly shows that even for site separations of 36.5 km and 48 km, as is the case for the campaigns in Greece and the UK respectively, there is a significant dependence between the propagation effects at the two sites (Chilton-Chilbolton and Athens-Lavrion). Fig. 4 - Average annual complementary cumulative distribution of excess attenuation in the UK in comparison with the ITU-R P.618-13 predictions © International Telecommunication Union, 2019 49     60     61     62     63     64     65     66     67     68     69     70          
Language:English
Score: 731203.6 - https://www.itu.int/en/publica...1/files/basic-html/page65.html
Data Source: un
P.360 : Efficiency of devices for preventing the occurrence of excessive acoustic pressure by telephone receivers and assessment of daily noise exposure of telephone users   Français   Español     Home : ITU-T : Publications : Recommendations : P Series : P.360 Recently posted  -  Search Recommendations     P.360 : Efficiency of devices for preventing the occurrence of excessive acoustic pressure by telephone receivers and assessment of daily noise exposure of telephone users Recommendation P.360 Former Rec. P.36, renumbered P.360 In force components Number Title Status P.360 (07/06)   Efficiency of devices for preventing the occurrence of excessive acoustic pressure by telephone receivers and assessment of daily noise exposure of telephone users   In force     Superseded and Withdrawn components Number Title Status P.360 (12/98)   Efficiency of devices for preventing the occurrence of excessive acoustic pressure by telephone receivers   Superseded   Top  -  Feedback  -  Contact us  -  Copyright © ITU  2008 All Rights Reserved Contact for this page :  ITU-T Publications Updated : 2014-05-15  
Language:English
Score: 730459.1 - https://www.itu.int/rec/T-REC-P.360
Data Source: un
The PFD produced by an emission is calculated and compared with a selected Article 21,Appendix 30 or 30B provision to generate an excess area. One can then produce the list of countries where an excess occurs. (...) A red contour is displayed, representing the area within which there is excess PFD. To prove this for yourself,  activate the PFD tool in the main toolbar ( )and  click inside and outside the area. (...) To see the list of countries experiencing excess PFD,  select List of affected countries in the Tools menu. 23 A country is considered as affected if there is a PFD excess on its territory and if that country is in the protected area defined by the provision.
Language:English
Score: 728207.47 - https://www.itu.int/en/ITU-R/s...ts/gims/tutorial/pfd_tools.pdf
Data Source: un