ライフサイエンスコーパス: early warning

1 and unique avenue for drought monitoring and early warning.

2 cytochemical biomarkers of toxic effects and early warning.

3 be incorporated into a framework for malaria early warning.

4 further improve drought onset detection and early warning.

5 Efforts to develop systems of early warning and detection for epidemics are outlined h

6 The early warning and onset detection of drought is of parti

7 and reliable detection of cyanobacteria for early warning and research purposes.

8 society have mobilised strategies to provide early warning and respond quickly.

9 f introduction and establishment can improve early-warning and eradication schemes.

10 o ensure supplies of affordable food, famine early warning, and plan management options to minimize y

11 We conclude that the early warning aspects of SRHI may have merit for integra

12 re measured accurately and constantly for an early warning before occurrences of algal blooms and for

13 l as facilitating potential molecular-level "early warning" biomarkers of the condition.

14 Rainfall data gave timely and reliable early warnings; but monthly surveillance of malaria out-

15 ment of fast, inexpensive clinical tools for early warning diagnoses and immediate on-site treatment.

16 erative hyperglycemia, which may serve as an early warning for delays in recovery and for adverse out

17 isturbance has been proposed as an important early warning for impending tipping points in complex sy

18 erception of health may provide an effective early warning for risk of hospitalization and death amon

19 us, the final, spot-like pattern may provide early warning for such catastrophic shifts.

20 hnique as a whole can potentially provide an early warning for toxin presence in source waters.

21 ously evaluate tissue perfusion and serve as early warning in critically injured patients during resu

22 veillance of clinical registries may provide early warnings in the postmarket evaluation of medical d

23 Early warning indicator assessment in the PASER network

24 human immunodeficiency virus drug resistance early warning indicator monitoring was piloted at 2 larg

25 le remote sensing products can be used as an early warning indicator of widespread tree mortality.

26 Measuring missed care may provide an 'early warning' indicator of higher risk for poor patient

27 World Health Organization HIVDR early warning indicators (EWIs) assess ART site factors

28 munodeficiency virus drug resistance (HIVDR) early warning indicators (EWIs) can help national antire

29 This study piloted early warning indicators (EWIs) for HIVDR at 2 clinics i

30 munodeficiency virus drug resistance (HIVDR) early warning indicators (EWIs) to assess antiretroviral

31 Research on early warning indicators has generally focused on assess

32 The desire to use sentinel species as early warning indicators of impending climate change eff

33 autocorrelation) could potentially serve as early warning indicators of impending shifts.

34 al genes may supplement sOUR based assays as early warning indicators of upsets in nitrification.

35 ries, and compare our results to traditional early warning indicators, conventional ecoregion maps an

36 confirm some of the theoretically predicted early warning indicators, such as an increase in recover

37 with HIVResNet, includes monitoring of HIVDR early warning indicators, surveys to assess acquired and

38 Early-warning indicators (EWIs) are hypothesized to sign

39 Antiretroviral therapy (ART) retention and 5 early-warning indicators (EWIs) of HIV drug resistance (

40 and assessment strategy is to monitor HIVDR early-warning indicators (EWIs), which provide strategic

41 vegetation recovery, supporting their use as early-warning indicators.

42 he prerequisite for developing any system of early warning is a detailed understanding of the factors

43 s well as disease surveillance for effective early warning is being investigated.

44 This early warning model framework may be useful to public he

45 O2 leakage scenarios and installing relevant early warning monitoring systems.

46 Microdialysis provided an early warning of arterial occlusion in transplanted graf

47 ilful seasonal climate forecasts may provide early warning of changes of risk in epidemic-prone regio

48 h understanding of this sequence provides an early warning of functional decline for better adaptatio

49 outside their normal ranges could provide an early warning of impending climate-driven range shifts.

50 ctive global disease surveillance and timely early warning of new outbreaks will require a far closer

51 young adulthood could be used to provide an early warning of potential long-term lung function losse

52 This provides an early warning of potential shading, and triggers a serie

53 l monitoring of Alexandrium spp. can provide early warning of potential shellfish contamination and r

54 inary catheters that provides a clear visual early warning of Proteus mirabilis infection and subsequ

55 icacy of antimalarials is crucial to provide early warning of resistance.

56 ered from the leaves of neighbours, provides early warning of shading, and induces developmental resp

57 how systematic surveillance could provide an early warning of strain emergence and dissemination.

58 e form of structural change to be used as an early warning of systemic risk.

59 Automated electronic systems providing early warning of the changing severity of infectious con

60 r transmission to humans and may serve as an early warning of the emergence of the next human influen

61 Our study provides an early warning of the urgent need to develop policies tha

62 with chip-UPLC-MS, it is a powerful tool for early warning of unknown emerging rhSHBG bioactive desig

63 drinking water wells can provide a sensitive early warning of upward brine migration for many years a

64 ries be designed to include the detection of early warnings of change or ecologically relevant change

65 e monitored or predicted climate can provide early warnings of epidemics one to five months in advanc

66 the U.S. provides important observations for early warnings of MCS-generated tsunamis.

67 30; P < .001), started to decline during the early-warning period (rate, -0.012; 95% CI, -0.14 to 0.1

68 and quetiapine showed an increase during the early-warning period, but rates of use for all 3 antipsy

69 g scheme, i.e., achieve some doubling of the early-warning period.

70 This timely dengue early warning permits the Ministry of Health and local a

71 reak, augmented by simple central nationwide early warning, represents a feasible strategy for increa

72 scription-independent,inflammasome-dependent early warning response to pathogenic infection.

73 ver-operating characteristics curve than the Early Warning Score (0.86).

74 index (0.82 vs 0.93; p<0.001), and Modified Early Warning Score (2.6 vs 3.3; p<0.001) and higher pul

75 y predicted cardiac arrest than the Modified Early Warning Score (area under the receiver operating c

76 care unit transfer better than the Modified Early Warning Score (area under the receiver operating c

77 We examined whether an early warning score (EWS) could predict inpatient compli

78 ing characteristic curve, 0.65) and Modified Early Warning Score (median area under the receiver oper

79 ristic curve 0.67), and highest for National Early Warning Score (median area under the receiver oper

80 e final model was compared with the Modified Early Warning Score (MEWS) using the area under the rece

81 lammatory Response Syndrome (SIRS), Modified Early Warning Score (MEWS), and the National Early Warni

82 Early Warning Score (MEWS), and the National Early Warning Score (NEWS) were compared for predicting

83 We applied the National Early Warning Score and 44 sets of medical emergency tea

84 ur model was more accurate than the VitalPAC Early Warning Score and could be implemented in the elec

85 The Modified Early Warning Score and Situation-Background-Assessment-

86 rly patients than elderly patients (Modified Early Warning Score area under the receiver operating ch

87 ingle-center study we showed that adding the Early Warning Score based on vital signs to the DENWIS-i

88 s were above and to the left of the National Early Warning Score efficiency curve, indicating higher

89 l had a higher sensitivity than the VitalPAC Early Warning Score for cardiac arrest patients (65% vs

90 aracteristic curve (95% CI) for the National Early Warning Score for the combined outcome (i.e., deat

91 inclusive of a medical emergency team and an early warning score in February 2010.

92 Implementation of the National Early Warning Score in the National Health Service (NHS)

93 ysis, subsequently inserting 'worry' and the Early Warning Score into the model.

94 ting deceleration capacity into the modified early warning score model led to a highly significant in

95 The modified early warning score model yielded an area under the rece

96 A National Early Warning Score of greater than or equal to 7 had an

97 87 and 0.91, respectively) compared with the Early Warning Score only based on vital signs.

98 r all outcomes, the position of the National Early Warning Score receiver-operating characteristic cu

99 Adding 'worry' and the Early Warning Score to the DENWIS-model resulted in high

100 rediction model was compared to the VitalPAC Early Warning Score using the area under the receiver op

101 A National Early Warning Score value of 7 had sensitivity/specifici

102 ency team systems are compared to a National Early Warning Score value of greater than or equal to 7,

103 tems have a higher sensitivity than National Early Warning Score values of greater than or equal to 7

104 The modified early warning score was assessed from respiratory rate,

105 istic curve for vital signs and the Modified Early Warning Score were also compared.

106 curves for all vital signs and the Modified Early Warning Score were higher for nonelderly patients

107 The National Early Warning Score's performance was assessed using the

108 e compared to each other and to the Modified Early Warning score, a commonly cited early warning scor

109 rdiac arrest and compared it to the Modified Early Warning Score, a commonly cited rapid response tea

110 , 0.77 vs 0.73; p < 0.001) than the VitalPAC Early Warning Score, and accuracy was similar with cross

111 syndrome criteria, the National and Modified Early Warning Score, and the electronic Cardiac Arrest R

112 s and composite scores, such as the Modified Early Warning Score, are used to identify high-risk ward

113 dified Early Warning score, a commonly cited early warning score, using the area under the receiver o

114 intensive care unit transfer to the Modified Early Warning Score.

115 o improve patient outcomes than the modified early warning score.

116 tensive care unit transfer than the Modified Early Warning Score.

117 of 53.4% compared to 47.7% for the Modified Early Warning Score.

118 age score, an electronic health record-based early warning score.

119 the use of routine blood tests and national early warning scores (NEWS) reported within +/-24 hours

120 Early warning scores are known to have good predictive v

121 Commonly used early warning scores are more accurate than the qSOFA sc

122 Early warning scores are widely used to identify deterio

123 to validate the parameters used in this and early warning scores for the obstetric population.

124 Existing early warning scores have comparatively good discriminat

125 ied from synthesis of the data: Strengths of early warning scores included their prediction value, in

126 Early warning scores provide the right language and envi

127 vidence that the prediction value of generic early warning scores suffers in comparison to specialty-

128 t the qSOFA score should not replace general early warning scores when risk-stratifying patients with

129 cquisition of vital signs and calculation of early warning scores.

130 n the accuracy of sepsis screening tools and early warning scores.

131 ht to compare qSOFA with other commonly used early warning scores.

132 Early warning scoring systems are widely used in clinica

133 Existing early warning scoring systems had good discriminatory po

134 The research demonstrates an early warning screening assay to support national monito

135 from critical transitions to networks and an early warning sign for a new type of critical transition

136 We develop an early warning sign for the saddle-type transition.

137 develop normal language comprehension is an early warning sign of autism, but the neural mechanisms

138 into the future, allowing it to serve as an early warning sign of international instability.

139 tion of wild bird infection might provide an early warning sign of potential novel AIVs circulating i

140 activation and expression could serve as an early warning sign of progression toward non-melanoma sk

141 igh earners, and that may represent a neural early warning signal in these subjects.

142 y accelerated rate of growth may serve as an early warning signal of risk for autism.

143 ack in the coupled HES can also mitigate the early warning signal, making it more difficult to detect

144 ress perception by the brain may serve as an early warning signal.

145 a tipping point, thus providing a potential early-warning signal sufficiently prior to a qualitative

146 Therefore, it represents an early-warning signal to forecast the transition from mod

147 ection of generic statistical tests known as early warning signals (EWSs).

148 We compared the performance of early warning signals across multiple environments as "i

149 Thus, early warning signals associated with critical transitio

150 old bifurcation (tipping point), to evaluate early warning signals based on spatio-temporal fluctuati

151 bility, and comparative analysis showed that early warning signals based solely on observations in de

152 he hypothesis that these statistics would be early warning signals for an experimentally induced regi

153 e, we compare critical transitions and their early warning signals in a coupled HES model to an equiv

154 However, early warning signals in complex, coupled human-environm

155 and challenges of modeling regime shifts and early warning signals in coupled HESs merit further rese

156 lar, little is known about the generality of early warning signals in different deteriorating environ

157 be better understood for the application of early warning signals in different scenarios.

158 However, failure of these early warning signals in some systems calls for a better

159 Moreover, the early warning signals in the coupled HES can be ambiguou

160 The development of early warning signals is recognized as a major challenge

161 Such early warning signals may be due to the phenomenon of cr

162 Here we show that early warning signals of AMOC collapse are present in a

163 Identifying the early warning signals of catastrophic extinctions has re

164 ial patterns of enhanced synchrony represent early warning signals of climate change impacts on fores

165 Generic early warning signals of critical slowing down before AM

166 rface vegetation, which are known to provide early warning signals of critical transformations.

167 ng deflation zones, thus providing potential early warning signals of land surface change.

168 nal impacts that flickering is induced, then early warning signals of transitions in modern social-ec

169 Identification of such early warning signals over a range of diseases will enha

170 sitions are often preceded by characteristic early warning signals such as increased system variabili

171 s may be announced in advance by statistical early warning signals such as slowing return rates from

172 high-mobility group box protein 1, serve as early warning signals to activate innate and adaptive im

173 Developing early warning signals to predict the onset of these tran

174 The early warning signals we observe are rises in autocorrel

175 products: the most statistically significant early-warning signals are provided by the most volatile

176 eveloped critical slowing-down indicators as early-warning signals for detecting the proximity to a p

177 several contributions have tried to identify early-warning signals of the financial crisis.

178 elapse-prevention planning (summarization of early warning signs for depression, maintenance treatmen

179 o describe time patterns that may be used as early warning signs of circulatory dysfunction and death

180 ines reflect the need for recognition of the early warning signs of complicated cases of diarrhea and

181 improve biological forecasting by detecting early warning signs of critical transitions on global as

182 uced diarrhea, particularly in patients with early warning signs of severe complications, morbidity a

183 he use of diazepam in treating prodromal and early warning signs of symptom exacerbation in schizophr

184 nsitive to climate change and can offer key "early warning signs" about deleterious effects of predic

185 we find patterns that may be interpreted as "early warning signs" of stock market moves.

186 ing to the last report of the European Union Early warning system (EWS), 73 NPS were officially ident

187 This study suggests that automated Early Warning System alerts can identify patients potent

188 Strengthening the early warning system and enhancing water, sanitation, an

189 This platform can serve as an early warning system as the risk of further Vibrio infec

190 To determine whether an Early Warning System could identify patients wishing to

191 oach may contribute to the development of an early warning system for anticipating the vulnerability

192 is considered in predictive models, a robust early warning system for cholera in endemic regions of t

193 the PI MS method is as a routine, real-time early warning system for CW agents and other hazardous c

194 cal samples is not likely to be useful as an early warning system for emerging pathogens and resistan

195 for signalling between plants, acting as an early warning system for herbivore attack.

196 system that has been shown to function as an early warning system for hypoxemia, would decrease hypox

197 These results are a large step toward an early warning system for increased intracranial pressure

198 istence of V.parahaemolyticus or an accurate early warning system for outbreak prediction.

199 serve as the foundation for a more accurate early warning system for outbreaks of this human pathoge

200 s, singly or in combination, may serve as an early warning system of risk for future adverse health o

201 unds currently monitored in Europe by the EU Early Warning System on new psychoactive substances.

202 ir membranes, epithelial cells may act as an early warning system to commence an immune response, whi

203 This modeling approach could serve as an early warning system to help clinicians identify high-ri

204 uted origins of major diseases, and a global early warning system to monitor pathogens infecting indi

205 Recently, a prototype dengue early warning system was developed to produce probabilis

206 ve care in high-risk patients targeted by an Early Warning System.

207 eriods and thus can be utilized in a malaria early warning system.

208 to mosquito surveillance could be used as an early-warning system for the detection of medically impo

209 f influenza in wet markets can be used as an early-warning system to detect the reappearance of SARS

210 Rapid and efficient early warning systems are required to support decisions

211 Then we explain how, in principle, early warning systems could be established to detect the

212 , should be considered in the development of early warning systems for malaria epidemics.

213 Although the development of early warning systems for malaria has been advocated by

214 framework for further development of robust early warning systems for pigs.

215 As such, they represent early warning systems for understanding the impacts of m

216 tor and food insecurity data from the Famine Early Warning Systems Network.

217 be a preferable source of data for so-called early warning systems that identify patients at risk of

218 ht-tolerant crops, crop diversification, and early warning systems.

219 llite sensor data promise the development of early-warning systems for diseases such as malaria, whic

220 undamental limitations of current earthquake early-warning systems imposed by the propagation speed o

221 pots to formulate increased surveillance and early-warning systems that aim to prevent introductions

222 e rupture physics, as well as for earthquake early-warning systems.

223 "global sensor sets", obtaining substantial early warning times savings over the friends sensor sche

224 IL-1beta activation, which may represent an early warning to activate host immunity against the path

225 The system is designed to provide early warning to civilians in the event of a terrorist a

226 is reliable, easy to perform, and offers an early warning to impending phrenic nerve injury.

227 Pain can be an adaptive sensation, an early warning to protect the body from tissue injury.

228 s and may prove particularly important as an early warning tool to prevent food poisoning in consumer

229 cant reforms in land use and the adoption of early warning triggers tied to precipitation forecasts,

230 ransitions has been missed in the search for early-warnings up to now.