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Physiological Indicators (physiological + indicator)
Selected AbstractsCarbon isotope discrimination: potential for screening salinity tolerance in rice at the seedling stage using hydroponicsPLANT BREEDING, Issue 3 2005R. Shaheen Abstract Rice is a moderately salt-sensitive crop species and soil salinity is the single most widespread soil toxicity problem lacing rice production. The quantification of salinity resistance poses serious problems in the field because of climatic factors and field heterogeneity. In the present study. rice germplasm obtained from the International Rice Research Institute (IRRI). Philippines, was screened in a naturally lit (11 h daylight) glasshouse-based hydroponics unit at two salinity levels (4 and 6 dS/m), Phenotypic performance based on survival of tolerant, moderately tolerant and susceptible isogenic lines along with tolerant and susceptible parents was evaluated after 10 and 13 days of salt stress. Plants were harvested after second scoring and carbon isotope discrimination in the leaves (A) was measured. ,1 ranged from 19.5 to 22.9%, A highly significant negative correlation (r =,0.95. P < 0.001) between , and visual scoring was observed. Data indicated the potential of using , as a physiological indicator for salinity tolerance in rice seedlings grown in hydroponics. [source] Ecological stress and linear enamel hypoplasia in CebusAMERICAN JOURNAL OF PHYSICAL ANTHROPOLOGY, Issue 1 2010Madeleine B. Chollet Abstract Although it is assumed that monkeys in some environments experience more nutritional or physiological stress than others, little research has been conducted on this topic. This study examines the relationship between linear enamel hypoplasia (LEH) frequency, a physiological indicator of stress, and environmental stressors. To test this relationship, LEH frequencies were calculated for 144 Cebus from 54 locations in Brazil. Habitat, temperature range, and annual rainfall were compared between individuals with and without LEH. The LEH frequency for Cebus from semideciduous forests was significantly higher than that for monkeys from coastal areas, the rainforest, and the savanna (,2 = 9.97, df = 1; P = 0.0016). A significantly higher LEH frequency was also found for monkeys living in environments with the mean annual temperature between 15 and 18°C than for those in environments greater than 18°C (,2 = 7.74, df = 1, P = 0.0054). However, no significant difference was found between LEH frequency and annual rainfall (t = 1.22, P = 0.23) or the average difference in rainfall between the driest and wettest months (t = 0.77, P = 0.44). These results indicate that levels of physiological stress can differ among environments and that habitat and temperature, but not precipitation, may be driving the difference in stress levels among environments. Am J Phys Anthropol, 2010. © 2009 Wiley-Liss, Inc. [source] Item selection and content validity of the Critical-Care Pain Observation Tool for non-verbal adultsJOURNAL OF ADVANCED NURSING, Issue 1 2009Céline Gélinas Abstract Title.,Item selection and content validity of the Critical-Care Pain Observation Tool for non-verbal adults. Aim., This paper is a report of the item selection process and evaluation of the content validity of the Critical-Care Pain Observation Tool for non-verbal critically ill adults. Background., Critically ill patients experience moderate to severe pain in the intensive care unit. While critical care clinicians strive to obtain the patient's self-report of pain, many factors compromise the patient's ability to communicate verbally. Pain assessment methods often need to match the communication capabilities of the patient. In non-verbal patients, observable behavioural and physiological indicators become important indices for pain assessment. Method., A mixed method study design was used for the development of the Critical-Care Pain Observation Tool in 2002,2003. More specifically, a four-step process was undertaken: (1) literature review, (2) review of 52 patients' medical files, (3) focus groups with 48 critical care nurses, and interviews with 12 physicians, and (4) evaluation of content validity with 17 clinicians using a self-administered questionnaire. Results., Item selection was derived from different sources of information which were convergent and complementary in their content. An initial version of the Critical-Care Pain Observation Tool was developed including both behavioural and physiological indicators. Because physiological indicators received more criticism than support, only the four behaviours with content validity indices >0·80 were included in the Critical-Care Pain Observation Tool: facial expression, body movements, muscle tension and compliance with the ventilator. Conclusion., Item selection and expert opinions are relevant aspects of tool development. While further evaluation is planned, the Critical-Care Pain Observation Tool appears as a useful instrument to assess pain in critically ill patients. [source] A major fish stranding caused by a natural hypoxic event in a shallow bay of the eastern South Pacific OceanJOURNAL OF FISH BIOLOGY, Issue 7 2010E. Hernández-Miranda A massive beaching and mortality of fishes occurred in Coliumo Bay, a shallow bay located along the coast of the eastern South Pacific Ocean on 3 January 2008. This stranding was a consequence of an abrupt decrease in the dissolved oxygen concentration throughout the whole water column, due to the effect of intense upwelling along the coast off central-southern Chile. The main objectives of this study were: (1) to characterize taxonomically and biologically the fish species assemblage present in this beaching; (2) to evaluate several physiological indicators for the condition of the beached species at the time of their death; and (3) to assess the possible cause,effect mechanisms involved in the fishes death and the changes that took place in the fish community throughout the time. In this beaching, 26 fish species were identified: 23 teleosts, one myxiniform and two elasmobranchs. Most beached specimens were juveniles. Haematological and histological evidence indicate that severe hypoxia that lasted for at least 48 h was the most plausible cause of death. The main conclusion of this study is that the presence of oxygen-poor equatorial sub-surface water in the shallow coastal zone due to intense regional-scale upwelling caused the fish stranding. Although the effect of the hypoxic event was severe for the fish assemblage of Coliumo Bay, the rapid recuperation observed suggests that hypoxic events at the local spatial scale can be buffered by migration processes from the fish community inhabiting close by areas non-affected by low oxygen conditions. The effect that severe hypoxic events may have on larger spatial scales remains unknown. [source] Does an Energy Drink Modify the Effects of Alcohol in a Maximal Effort Test?ALCOHOLISM, Issue 9 2004Sionaldo Eduardo Ferreira Background: There are popular reports on the combined use of alcohol and energy drinks (such as Red Bull® and similar beverages, which contain caffeine, taurine, carbohydrates, etc.) to reduce the depressant effects of alcohol on central nervous system, but no controlled studies have been performed. The main purpose of this study was to verify the effects of alcohol, and alcohol combined with energy drink, on the performance of volunteers in a maximal effort test (cycle ergometer) and also on physiological indicators (oxygen uptake, ventilatory threshold, respiratory exchange rate, heart rate, and blood pressure), biochemical variables (glucose, lactate, insulin, cortisol, ACTH, dopamine, noradrenaline, and adrenaline), and blood alcohol levels. Methods: Fourteen healthy subjects completed a double-blind protocol made up of four sessions: control (water), alcohol (1.0 g/kg), energy drink (3.57 ml/kg Red Bull®), and alcohol + energy drink, each 1 week apart. The effort test began 60 min after drug or control ingestion, and the dependent variables were measured until 60 min after the test. Results: Heart rate at the ventilatory threshold was higher in the alcohol and alcohol + energy drink sessions in comparison with control and energy drink sessions. Although in comparison to the control session, the peak oxygen uptake was 5.0% smaller after alcohol ingestion, 1.4% smaller after energy drink, and 2.7% smaller after the combined ingestion, no significant differences were detected. Lactate levels (30 min after drug ingestion, 30 and 60 min after the effort test) and noradrenaline levels (30 min after the effort test) were higher in the alcohol and alcohol + energy drink sessions compared with the control session. Conclusions: The performance in the maximal effort test observed after alcohol + energy drink ingestion was similar to that observed after alcohol only. No significant differences between alcohol and alcohol + energy drink were detected in the physiological and biochemical parameters analyzed. Our findings suggest that energy drinks, at least in the tested doses, did not improve performance or reduce alterations induced by acute alcohol ingestion. [source] | |||||||||||||