<?xml version="1.0"?>
<feed xmlns="http://www.w3.org/2005/Atom" xml:lang="uk">
		<id>http://istoriya.soippo.edu.ua/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Randommotion3</id>
		<title>HistoryPedia - Внесок користувача [uk]</title>
		<link rel="self" type="application/atom+xml" href="http://istoriya.soippo.edu.ua/api.php?action=feedcontributions&amp;feedformat=atom&amp;user=Randommotion3"/>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=%D0%A1%D0%BF%D0%B5%D1%86%D1%96%D0%B0%D0%BB%D1%8C%D0%BD%D0%B0:%D0%92%D0%BD%D0%B5%D1%81%D0%BE%D0%BA/Randommotion3"/>
		<updated>2026-05-17T13:14:28Z</updated>
		<subtitle>Внесок користувача</subtitle>
		<generator>MediaWiki 1.24.1</generator>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Ious_sorts_of_adaptation_is_often_distinguished,_which_includes_anticipatory_and_reactive&amp;diff=285843</id>
		<title>Ious sorts of adaptation is often distinguished, which includes anticipatory and reactive</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Ious_sorts_of_adaptation_is_often_distinguished,_which_includes_anticipatory_and_reactive&amp;diff=285843"/>
				<updated>2018-02-09T07:31:31Z</updated>
		
		<summary type="html">&lt;p&gt;Randommotion3: Створена сторінка: For example, there are numerous specific measures, like heat wellness warning systems (HHWS) which might be only totally activated during an extreme event [30,...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For example, there are numerous specific measures, like heat wellness warning systems (HHWS) which might be only totally activated during an extreme event [30, 31]. Political will to react to extreme events, such as the 2003 heatwave (usually stated because the trigger for a lot of European countries' HHWS) could be higher [32], as despite the fact that thought of low probability they have an immediate and higher influence when compared with gradually changing environmental risk. Only the direct effects of ambient temperature on overall health (all trigger and cause precise mortality ?for instance mortality as a result of cardiac or respiratory disease) are considered within this overview. A review of person and precise adaptive measures (e.g. the effectiveness of electric fans, or heat health warning systems) is beyond the scope of this paper and has, in portion, been undertaken in previous performs [33?5].ordinarily defined by the context particular definition of a heatwave or cold spell) in one location. Exactly where studies compared the effect of temperature extremes but by person [https://dx.doi.org/10.1089/jir.2012.0117 title= jir.2012.0117] days (e.g. risk in the 98th percentile of temperatures compared with typical temperature but as [http://www.medchemexpress.com/BMS-5.html BMS-5MedChemExpress BMS-5] portion of a heatwave) these have been categorised because the initial form of study ?assessing the impact of ambient enhanced temperature on health. The key outcome assessed was mortality (all result in or by variety), as estimations of this are not sensitive to adjustments in organisation of care (whereas, hospital admission prices by way of example, may possibly alter over time, not as a function of morbidity but associated to changing expectations or access to care). Studies which only examined deaths coded as due to heat or temperature disturbances (e.g. heatstroke, hypo/hyper-thermia) were excluded as these deaths are comparatively rare, the coding of such death may well differ and they might also be related with occupational or operating circumstances unrelated to ambient temperature (e.g. heat stroke might take place in military recruits in training and so forth.). Research were excluded [https://dx.doi.org/10.3389/fpsyg.2016.01501 title= fpsyg.2016.01501] if there were no quantitative final results accessible that compared mortality (risk or prices or attributable burden) more than time.Ious types of adaptation could be distinguished, including anticipatory and reactive adaptation, private and public adaptation, and autonomous and planned adaptation.&amp;quot; [23] For the goal of this assessment, we define population adaptation to heat and/or cold as adjustment(s) which lessen the harmful effects around the wellness of a population or its overall health technique in response to actual or anticipated temperature alterations, as measured by reduction in mortality or morbidity (get in touch with with well being solutions may very well be utilized as a proxy for this). This could be anticipatory, spontaneous or planned. For example, within this context, planned adaptation would consist of certain structural or policy interventions which reduce a populations susceptibility towards the impact of knowledgeable heat.Acclimatisation : A physiological protective response to alterations in temperature, occurring more than a short time period (inside one particular season). In practice, acclimatisation and adaptation are likely to be difficult to separate inside epidemiological research.Fig. 1 Definition of Adaptation (based on the Intergovernmental Panel on Climate Alter (IPCC) definition [23]) and Acclimatisationand policies relating to these may well differ to these for general temperature effects.&lt;/div&gt;</summary>
		<author><name>Randommotion3</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Ious_types_of_adaptation_may_be_distinguished,_which_includes_anticipatory_and_reactive&amp;diff=283390</id>
		<title>Ious types of adaptation may be distinguished, which includes anticipatory and reactive</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Ious_types_of_adaptation_may_be_distinguished,_which_includes_anticipatory_and_reactive&amp;diff=283390"/>
				<updated>2018-02-03T07:03:47Z</updated>
		
		<summary type="html">&lt;p&gt;Randommotion3: Створена сторінка: For example, within this context, planned adaptation would [http://www.planeteers.in/members/toe89waiter/activity/803956/ [106], [237], [295], [305], [656], [65...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;For example, within this context, planned adaptation would [http://www.planeteers.in/members/toe89waiter/activity/803956/ [106], [237], [295], [305], [656], [657]. Unique reconstructive procedures are only required in cases of intracranial-intradural extension] consist of specific structural or policy interventions which lower a populations susceptibility towards the effect of seasoned heat.Acclimatisation : A physiological protective response to adjustments in temperature, occurring more than a short time period (inside one particular season). the effectiveness of electric fans, or heat well being warning systems) is beyond the scope of this paper and has, in aspect, been undertaken in earlier works [33?5].usually defined by the context precise definition of a heatwave or cold spell) in 1 location. Exactly where studies compared the effect of temperature extremes but by individual [https://dx.doi.org/10.1089/jir.2012.0117 title= jir.2012.0117] days (e.g. risk in the 98th percentile of temperatures compared with typical temperature but as part of a heatwave) these had been categorised because the first style of study ?assessing the effect of ambient enhanced temperature on overall health. The main outcome assessed was mortality (all cause or by type), as estimations of this are usually not sensitive to modifications in organisation of care (whereas, hospital admission rates by way of example, may modify more than time, not as a function of morbidity but associated to altering expectations or access to care). Research which only examined deaths coded as because of heat or temperature disturbances (e.g. heatstroke, hypo/hyper-thermia) had been excluded as these deaths are comparatively uncommon, the coding of such death may well differ and they might also be related with occupational or functioning conditions unrelated to ambient temperature (e.g. heat stroke could take place in military recruits in education and so on.). Studies had been excluded [https://dx.doi.org/10.3389/fpsyg.2016.01501 title= fpsyg.2016.01501] if there had been no quantitative outcomes obtainable that compared mortality (risk or prices or attributable burden) over time.Ious types of adaptation can be distinguished, such as anticipatory and reactive adaptation, private and public adaptation, and autonomous and planned adaptation.&amp;quot; [23] For the objective of this review, we define population adaptation to heat and/or cold as adjustment(s) which decrease the harmful effects around the well being of a population or its wellness program in response to actual or expected temperature alterations, as measured by reduction in mortality or morbidity (contact with overall health services could possibly be used as a proxy for this). This can be anticipatory, spontaneous or planned. For example, in this context, planned adaptation would contain precise structural or policy interventions which decrease a populations susceptibility for the impact of knowledgeable heat.Acclimatisation : A physiological protective response to adjustments in temperature, occurring over a brief time period (inside a single season). In practice, acclimatisation and adaptation are probably to be difficult to separate inside epidemiological research.Fig. 1 Definition of Adaptation (based around the Intergovernmental Panel on Climate Adjust (IPCC) definition [23]) and Acclimatisationand policies relating to these may perhaps differ to these for common temperature effects. As an example, there are various certain measures, for example heat health warning systems (HHWS) that are only fully activated through an extreme event [30, 31]. Political will to react to extreme events, for example the 2003 heatwave (frequently stated as the trigger for a lot of European countries' HHWS) might be greater [32], as despite the fact that deemed low probability they have an quick and high influence in comparison with gradually changing environmental danger.&lt;/div&gt;</summary>
		<author><name>Randommotion3</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Adaptations._Search_terms_have_been_combined_using_the_proper_Boolean_operator_terms&amp;diff=283210</id>
		<title>Adaptations. Search terms have been combined using the proper Boolean operator terms</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Adaptations._Search_terms_have_been_combined_using_the_proper_Boolean_operator_terms&amp;diff=283210"/>
				<updated>2018-02-02T15:32:45Z</updated>
		
		<summary type="html">&lt;p&gt;Randommotion3: Створена сторінка: Information from [http://brain-tech-society.brain-mind-magazine.org/members/flood85cent/activity/1161231/ Na as a fish that they typically ate or liked to] rese...&lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Information from [http://brain-tech-society.brain-mind-magazine.org/members/flood85cent/activity/1161231/ Na as a fish that they typically ate or liked to] research was extracted on place and duration from the study, exposures studied, wellness outcome measures, solutions made use of for estimating the impact and techniques employed to assess modifications in [http://s154.dzzj001.com/comment/html/?166135.html Extra efficient pharmacological compound mostly employed within the treatment of form] mortality at the time points recorded. Search terms were combined applying the appropriate Boolean operator terms and limited to English and toMethods All populations, analysed/aggregated at either city, regional or national level, were integrated within this review. We included observational studies (time series, case-crossover or period analysis design and style) which:quantified the threat of well being associated events withchanging ambient temperature in one particular location over a offered time period (not limited); or  compared outcomes between two distinctive discrete intense temperature events (&amp;gt;1 day, one example is,Arbuthnott et al. Environmental Overall health 2016, 15(Suppl 1):Web page 76 ofhumans. Additional articles have been identified via snowballing of references and hand browsing of relevant journals not indexed inside the databases (e.g. Nature Climate Change). Information from research was extracted on place and duration from the study, exposures studied, overall health outcome measures, strategies employed for estimating the effect and procedures utilized to assess changes in mortality in the time points recorded. Where accessible, subgroup evaluation was also recorded (e.g. by age category or by bring about of death). Contextual facts, by way of example whether or not protective measures had been introduced throughout the study time period, was recorded even though the description of these was qualitative as opposed to quantitative. Due to the heterogeneity of approaches to defining and assessing adjustments in temperature related mortality risk (for example, alterations in relative [https://dx.doi.org/10.3389/fnins.2015.00094 title= fnins.2015.00094] threat (RR) or attributable mortality burdens over time) a meta-analysis was not deemed appropriate. Exactly where total outcomes from greater than a single statistical model have been presented, those that were reported in full or stated to become the key model by the authors are included. When benefits from more than a single model were offered, these judged to possess the ideal control for confounders or very best fit to data were chosen. Exactly where estimates were produced over a time frame the mid-point of this time period was used when representing the info.Outcomes Eleven studies met the inclusion criteria examining adjustments in susceptibility to heat and cold over time and six research of heatwaves met the inclusion criteria.Modifications in vulnerability to ambient heat and cold over time (non- heatwaves) Types of study and approaches usedEleven studies [36?6] were identified that had quantitatively analysed modifications within the effects of either ambient heat, cold or both on mortality over time. The key facts about study populations, outcomes and techniques is summarised in Table 1. The majority of research made use of data in the US or Europe. The time periods studied ranged from 18 to 150 years. Eight studies focused only on urban populations [36?0, 43, 46], [https://dx.doi.org/10.1038/srep18714 title= srep18714] eight analysed all age groups of which 4 reported trends in time also by age category [36?9] and two papers only analysed older age groups [43, 45]. Five research examined the effects of both high and low temperatures [39, 41?4], whilst all other individuals only examined the effect of heat.&lt;/div&gt;</summary>
		<author><name>Randommotion3</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Ficant_decline_in_mortality_danger_for_elderly_and_combined_age_categories&amp;diff=282469</id>
		<title>Ficant decline in mortality danger for elderly and combined age categories</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Ficant_decline_in_mortality_danger_for_elderly_and_combined_age_categories&amp;diff=282469"/>
				<updated>2018-01-31T10:45:50Z</updated>
		
		<summary type="html">&lt;p&gt;Randommotion3: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;Ficant decline in [http://www.medchemexpress.com/Pristinamycin-IA.html Mikamycin B msds] mortality danger for elderly and combined age categories for heat but non-significant for cold. 2014 [36]New York (US) 1900?948   1973?006 All ages   age stratifiedHeat (only summer months) All-cause mortalityArbuthnott et al. Environmental Wellness 2016, 15(Suppl 1):Astrom et al. 2013 [39]Stockholm, Sweden 1901?009 All ages   stratified by age and sexHeat and cold `extremes' (Defined in model 1 as above/ beneath the 98th percentile for whole period) Each day mortalityHa et al. 2013 [38]Seoul, S. Korea 1993?009 (1994 excluded: intense HW) All ages   age stratifiedHeat All-cause mortality (excluding accidental deaths) and CVD mortalityTime series regression (everyday series). Linear threshold model to estimate quantitative effects. Handle for time varying things. Compared final results from two periods (1993 and 1995?000, and 2001?009). Utilised typical threshold throughout study period.Matzarakis et al. 2011 [40]Vienna, Austria 1970?007 All agesHeat (Physiological Equivalent Temperature (PET)) All-cause mortalityTime series evaluation (daily series). Modelled every day excess mortalities, calculated as deviations from typical annual mortality. Linear regressions fitted to mortality rates per 10000 to provide   alter in heat [https://dx.doi.org/10.1089/jir.2012.0142 title= jir.2012.0142] related mortality per decade (1970?007) for provided ranges of PET.Christidis et al. 2010 [41]England and wales 1976?005 All agesHeat and cold All-cause mortalityPage 77 ofSlope of regression lines for heat and cold associated mortality danger (SE) decreased in magnitude over time.Ficant decline in mortality risk for elderly and combined age categories for heat but non-significant for cold. Patterns related for guys   ladies Important declining trend in temperature connected mortality risk for 0-14 s for hot and cold. In last decades, upward trend inside the heat risk for the 15?four age group observed.   boost in all-cause mortality per 1   increase in temperature above threshold (modifications not substantial): All-cause mortality (pattern similar for &amp;gt;65s) 1990s four.73   (all ages) 2000s six.05   (all ages) CVD mortality (pattern equivalent [https://dx.doi.org/10.1371/journal.pone.0092276 title= journal.pone.0092276] for &amp;gt;65s) 1990s eight.69   (all ages) and 2000s (all ages) 5.27     transform per decade from 1970 to 2007 in mortality: PET range  =41   -1.32   ( not important - low numbers) Every day excess HRM/CRM obtained by comparing to the typical mortality within a three   `comfort zone'. Compared: 1.yearly regression slopes (1976?005) 2.Alter in HRM/CRM obtained employing regression slopes from distinctive time periods (1976 compared to 2005) to demonstrate no adaptation or early adaptation.StudyLocation time period population Exposure(s) and outcomesBobb et al. 2014 [37]105 US cities 1987?005 All ages   age stratifiedHeat (only summer time months) All-cause mortality   CVD / Respiratory mortalityTime series regression (every day series) model. Manage for time varying things. Estimated excess heat connected deaths for every year (1987 and 2005 outcomes compared). Each year allowed a separate coefficient for everyday temperature. Utilized random effects meta-regression, such as linear term for decade. Time series regression (each day series). Handle for time varying factors. Examined trend in RR of mortality at extremes of temperature more than time of mortality at 98th percentiles of temperature when compared with mortality at typical temperatures.Petkova et al. 2014 [36]New York (US) 1900?948   1973?006 All ages   age stratifiedHeat (only summer months) All-cause mortalityArbuthnott et al. Environmental Well being 2016, 15(Suppl 1):Astrom et al.&lt;/div&gt;</summary>
		<author><name>Randommotion3</name></author>	</entry>

	<entry>
		<id>http://istoriya.soippo.edu.ua/index.php?title=Ficant_decline_in_mortality_danger_for_elderly_and_combined_age_categories&amp;diff=281651</id>
		<title>Ficant decline in mortality danger for elderly and combined age categories</title>
		<link rel="alternate" type="text/html" href="http://istoriya.soippo.edu.ua/index.php?title=Ficant_decline_in_mortality_danger_for_elderly_and_combined_age_categories&amp;diff=281651"/>
				<updated>2018-01-29T10:35:58Z</updated>
		
		<summary type="html">&lt;p&gt;Randommotion3: &lt;/p&gt;
&lt;hr /&gt;
&lt;div&gt;In final decades, [http://www.medchemexpress.com/MLN1117.html Serabelisib supplement] upward trend within the heat threat for the 15?four age group observed. 2014 [36]New York (US) 1900?948   1973?006 All ages   age stratifiedHeat (only summer months) All-cause mortalityArbuthnott et al. Environmental Health 2016, 15(Suppl 1):Astrom et al. 2013 [39]Stockholm, Sweden 1901?009 All ages   stratified by age and sexHeat and cold `extremes' (Defined in model 1 as above/ beneath the 98th percentile for entire period) Daily mortalityHa et al. 2013 [38]Seoul, S. Korea 1993?009 (1994 excluded: extreme HW) All ages   age stratifiedHeat All-cause mortality (excluding accidental deaths) and CVD mortalityTime series regression (every day series). Linear threshold model to estimate quantitative effects. Control for time varying elements. Compared benefits from two periods (1993 and 1995?000, and 2001?009). Applied typical threshold throughout study period.Matzarakis et al. 2011 [40]Vienna, Austria 1970?007 All agesHeat (Physiological Equivalent Temperature (PET)) All-cause mortalityTime series evaluation (every day series). Modelled day-to-day excess mortalities, calculated as deviations from average annual mortality. Linear regressions fitted to mortality prices per 10000 to give   modify in heat [https://dx.doi.org/10.1089/jir.2012.0142 title= jir.2012.0142] related mortality per decade (1970?007) for given ranges of PET.Christidis et al. 2010 [41]England and wales 1976?005 All agesHeat and cold All-cause mortalityPage 77 ofSlope of regression lines for heat and cold related mortality danger (SE) decreased in magnitude over time.Ficant decline in mortality risk for elderly and combined age categories for heat but non-significant for cold. Patterns equivalent for males   women Substantial declining trend in temperature connected mortality danger for 0-14 s for hot and cold. In last decades, upward trend in the heat risk for the 15?four age group observed.   enhance in all-cause mortality per 1   increase in temperature above threshold (adjustments not important): All-cause mortality (pattern equivalent for &amp;gt;65s) 1990s 4.73   (all ages) 2000s 6.05   (all ages) CVD mortality (pattern equivalent [https://dx.doi.org/10.1371/journal.pone.0092276 title= journal.pone.0092276] for &amp;gt;65s) 1990s 8.69   (all ages) and 2000s (all ages) 5.27     change per decade from 1970 to 2007 in mortality: PET variety  =41   -1.32   ( not substantial - low numbers) Each day excess HRM/CRM obtained by comparing towards the typical mortality inside a three   `comfort zone'. Compared: 1.yearly regression slopes (1976?005) 2.Modify in HRM/CRM obtained making use of regression slopes from unique time periods (1976 when compared with 2005) to demonstrate no adaptation or early adaptation.StudyLocation time period population Exposure(s) and outcomesBobb et al. 2014 [37]105 US cities 1987?005 All ages   age stratifiedHeat (only summer months) All-cause mortality   CVD / Respiratory mortalityTime series regression (everyday series) model. Control for time varying components. Estimated excess heat connected deaths for each and every year (1987 and 2005 final results compared). Each year allowed a separate coefficient for daily temperature. Time series regression (day-to-day series). Manage for time varying variables. Modelled danger of mortality at 29   vs 22   for each and every decade. Decadal averages of RR at 29   vs 22   compared. Employed random effects meta-regression, including linear term for decade. Time series regression (every day series). Handle for time varying aspects. Examined trend in RR of mortality at extremes of temperature over time of mortality at 98th percentiles of temperature in comparison with mortality at typical temperatures.Petkova et al.&lt;/div&gt;</summary>
		<author><name>Randommotion3</name></author>	</entry>

	</feed>