ライフサイエンスコーパス: variable

1 ds and populations, which can be constant or variable.

2 CTD trimer interfaces are also intrinsically variable.

3 gies used for clinical management are highly variable.

4 Equi-osmotic sorbitol did not alter any variable.

5 as SAHs are long and their sequences highly variable.

6 the intensity as the state or computational variable.

7 (89)Zr-bevacizumab uptake in these areas was variable.

8 h shows that NR quaternary architectures are variable.

9 es are under development, but efficacies are variable.

10 hical approval and availability of essential variables.

11 rbance and forest structure, but not abiotic variables.

12 Sensitivity analysis was done for all variables.

13 time and is associated with several clinical variables.

14 sing an approach based on quasi-hydrodynamic variables.

15 zed, even when controlling for environmental variables.

16 nificant differences across clusters for all variables.

17 e and with interaction terms) as independent variables.

18 d be predicted from stimulus and self-report variables.

19 ences in definitions of exposure and outcome variables.

20 soil physicochemical properties as governing variables.

21 on top of other well-established prognostic variables.

22 CC and any of the investigated psychological variables.

23 rth-weight children after adjustment for all variables.

24 pplied in the investigation of other climate variables.

25 ly important and complementary thermodynamic variables.

26 logroups were not associated with any of the variables.

27 (OIB) from Hawaii, Samoa, and Iceland reveal variable (182)W/(184)W, ranging from that of the ambient

28 eas the surface-exposed N terminus is highly variable, a feature used for identification and serotypi

29 seconds to hours, to days and to years, and variable absorption characteristics, all through tuning

30 sex, height, and body mass index, and these variables accounted for 28% of the variability in ADAU (

31 imilarity leading up to treatment failure is variable across individuals.

32 re, alpha-BCR-induced signaling strength was variable across patient samples and correlated with BCR

33 nship between sound levels and densities was variable across the duration of surveys but stabilized d

34 ional expectation of a network-valued random variable across the values of a continuous predictor, wh

35 s by humans and animals involves complex and variable actions, and each syllable often lasts a few hu

36 although the timing and strength of climatic variables affecting growth shifted with latitude and alt

37 Patients with variable age, Acute Physiology and Chronic Health Evalua

38 denosine 5'-diphosphate and epinephrine, but variable aggregation defects with other agonists.

39 ucose homeostasis variables and inflammation variables (all P < 0.01).

40 anism is telling us over and above the state variables alone.

41 Repeatability was highly variable among features.

42 onads with expression levels that are rather variable among female mussels at different stages of gon

43 ons scenario, projected declines were highly variable among reefs, ranging 10-100%.

44 on educational attainment using instrumental variable analysis based on single nucleotide polymorphis

45 ade, 95% CI: -0.04, 0.04) using instrumental variable analysis, although conventional regression gave

46 number of aboral papillae, which are highly variable and can be affected by fixation methods and env

47 10 families from each of two populations to variable and constant thermal regimes.

48 Symptoms of the disease are variable and depend on the type of lymphoma and/ or pres

49 cians agree that management of HAA is highly variable and depends on clinical presentation and anatom

50 However, responses are variable and frequently delayed, complicating the evalua

51 is provides the possibility to reveal highly variable and heterogeneous oxygen dynamics at a high, qu

52 The variable and nondispatchable nature of wind and solar ge

53 h visual field mean deviation as a dependent variable and time (alone and with interaction terms) as

54 nt differences were seen in delivery-related variables and associated maternal conditions based on th

55 ganize and describe the diverse experimental variables and data resided in the EMBL-EBI resources.

56 repeated internal cross-validation to select variables and estimate coefficients in the presence of c

57 Associations between baseline variables and incident cardiac events were estimated wit

58 nversely associated with glucose homeostasis variables and inflammation variables (all P < 0.01).

59 rformed for psychiatric disorders, cognitive variables and personality traits.

60 The relationship between demographic variables and SI values was assessed.

61 After adjusting for patient variables and the correlation between hospitals, the int

62 ion were greater than 0.900 for all response variables and there were significant effects of independ

63 g the joint evolution of repeatedly measured variables and time-to-event outcomes observed in longitu

64 mber of preceding events (predictor, stratum variable); and the within-subject correlation (ignored i

65 The course of prostate cancer is highly variable, and timely and accurate detection of clinicall

66 e found in body size, body composition, bone variables, and metabolic health variables when comparing

67 cholesterol [TC]) were studied as continuous variables, and results are reported per SD increase of e

68 les [environmental DNA (eDNA)], hydrological variables, and water temperatures gathered at various lo

69 We apply a latent variable approach, exploratory bifactor analysis, to a l

70 Using an instrumental variable approach, we developed an instrument for variat

71 Using an instrumental variables approach, rural hospital bypass was associated

72 We conclude that these variables are not useful risk factors to measure to pred

73 We identified the following variables as unfavourable predictors of survival.

74 arch needs to employ sex as a classification variable, as sex differences can generally be expected.

75 gression analysis was performed to determine variables associated with AF within 90 days of index hos

76 ortional hazards models were used to analyze variables associated with ICD shock recurrence and morta

77 red demographic, clinical, and socioeconomic variables associated with mortality.

78 An mPICH score was developed after variables associated with poor outcome were identified a

79 ardless of the soil conditions, trees enrich variable bacterial communities to maintain the functions

80 e principle of randomly permuted blocks with variable block sizes of two and four.

81 failure, and valve disease) and non-cardiac variables (body-mass index, chronic kidney disease, and

82 Similarly, TandemHeart improves hemodynamic variables but not survival.

83 enzene were mainly driven by traffic-related variables but the proximity to sewage treatment plants w

84 ed greenhouse gas concentrations were highly variable, but peak concentrations of N2O accounted for <

85 sion analyses, models comprising significant variables, but not the variables themselves, predicted i

86 cal Hodgkin lymphoma (CHL) (uniform CD50 and variable CD58 for NLPHL; minimal CD50, bright CD58 expre

87 complex mixtures of chlorinated alkanes with variable chain length and chlorination level; congeners

88 Excimer states having variable charge transfer (CT) character are frequently i

89 uded a 2-sample t test to compare continuous variables, chi-square testing for categorical comparison

90 potentially confounding maternal and infant variables, children born at 23 to 24 weeks' gestation pe

91 ndards with a single carbon chain length and variable chlorination level.

92 Variable CI PVCs affect critical populations of intrinsi

93 tract PVCs with fixed short, fixed long, and variable CI.

94 1:2,000-3,000, is characterized by a highly variable clinical presentation.

95 e pattern, rate, and number of episodes were variable, commonly chronic, and not significantly associ

96 s from demographic characteristics, clinical variables, comorbidities, medications, and biomarkers in

97 inct controls of NC assembly in solvent with variable concentrations confirm the NC concentration/sol

98 e variation and complexity of climate-driven variables could be important for understanding the poten

99 nd ethnicity; however, several patient-level variables could not be included in our analysis because

100 med to mimic one another by substituting the variable cysteine residues at position III in the protei

101 Second, echocardiographic PH (based on variable definitions) has been reported in 13% to 50% of

102 pproximately 10 mV from RMPs) initiated with variable delay (up to 500 ms) after ACh application, but

103 The mode of rainbelt variation is regionally variable, depending on surface type (land or ocean) and

104 rnative ligand class regarding stability and variable design strategies.

105 None of these variables differed between control and disrupted dams, o

106 linical tool using readily available pretest variables discriminates such minimal-risk patients, for

107 zygous variants, which could be explained by variable disease expression and warrants caution when ma

108 lucosylation of N-linked glycans situated at variable distances from the site of misfold.

109 This variable domain of an H chain-only Ab (VHH or nanobody)

110 d cost-effective production, the recombinant variable domains of heavy-chain-only antibodies (VHHs) a

111 beta subunits displaying immunoglobulin-like variable domains that recognize peptide antigens associa

112 f the immunogenicity derived from the Fc and variable domains.

113 was found to be higher in CH1 and CL than in variable domains.

114 This method, called Variable Dose Analysis (VDA), is highly sensitive to via

115 ieve the economic and societal burden due to variable drug responsiveness.

116 ostic importance of clinical and hemodynamic variables during follow-up, including pulmonary arterial

117 an do circulating lymphocytes, which exhibit variable E-selectin binding among CD4(+) and CD8(+) T ce

118 A number of experimental variables (e.g., a composition and pH of the supporting

119 i.e., SPM relates the stochastic dynamics of variables (e.g., physiological or biological measures) w

120 o ozonides, additional functional groups had variable effects on metabolic stability and efficacy, bu

121 patorenal syndrome, but trials have reported variable efficacy.

122 first and downstream UGA codons occurs with variable efficiencies to control synthesis of full-lengt

123 onsecutive weeks as semibatch reactors under variable environmental conditions.

124 neages, the distribution of these enzymes is variable even between organisms from the same genus.

125 A meta-regression including 5 variables explained 99.6% of between-study variability,

126 In regression models, clinical variables explained approximately 9% to 10% of total var

127 ties, problems of social behavior, and other variable features.

128 B1(+) field and variable flip angle (FA) mapping were included in the dy

129 e trees were correlated to a set of climatic variables following a hump-shaped curve.

130 cal features could be used as a personalized variable for clinical staging and aphasia treatment plan

131 timulus location, though responses were more variable for cup handling.

132 Tree cover is a key variable for ecosystem functioning, and is widely used t

133 ent for demographics, risk factors, a latent variable for glycemia (diabetes status, fasting glucose,

134 ructosamine, glycated albumin), and a latent variable for kidney function (creatinine, cystatin C, be

135 the manganese-driven carbon cycle, and a new variable for models that use manganese as a proxy to inf

136 ion, FER rs4957796 might act as a prognostic variable for survival in patients with severe ARDS due t

137 regression procedure selected the following variables for association with abnormal FS at 1 year pos

138 HCT-CI) were recognized as relevant clinical variables for HSCT eligibility.

139 tures for estimating a user-specified latent variable from those stimuli.

140 machine learning method to select predictor variables from demographic characteristics, clinical var

141 Seven-hundred thirty-five variables from imaging and noninvasive tests, questionna

142 tic data and baseline molecular and clinical variables from patients with Parkinson's disease and hea

143 All variables from previous and new definitions of sepsis we

144 modeling revealed immunoglobulin heavy chain variable gene (IGHV) mutation status and trisomy 12 as t

145 sed, with a predominant usage of the TCRbeta variable gene 2 (TRBV2) in vaccinees as well as controll

146 s climate variability according to spatially variable groundwater response times determined by geolog

147 of reef corals is different across thermally variable habitats and changes over time when corals are

148 lained by multivariable modelling with these variables; however, the remainder was unexplained.

149 intensive care unit (ICU) admission and to a variable ICU use among this population.

150 been reported as a monogenic cause of common variable immune deficiency with features of immune dysre

151 hat the direction of sex change is a pivotal variable in predicting demographic changes and resilienc

152 The inclusion of sex as a biological variable in research is absolutely essential for improvi

153 ux but the baseline ion conductance was more variable in Sox10::CreER(T2+/-) /Cx43(f/f) tissues.

154 utrients in freshwater ecosystems are highly variable in space and time.

155 The results allowed each variable in the equivalent circuit to be estimated.

156 te of generating these costructures is often variable, in particular when working with dynamic protei

157 When used as a time-dependent variable, incident MI was associated with an increased r

158 application ontology driven by experimental variables including cell lines to organize and describe

159 class discrimination and indicates that 113 variables including size, electronegativity, number of v

160 y vessel were identified from >200 candidate variables, including 109 biomarkers.

161 Variables, including clinical and demographic characteri

162 t a range of psychological and physiological variables, including cognitive effort, arousal, attentio

163 Metabolic variables, including glucose, insulin, insulin-like grow

164 ect was independent of potential confounding variables, including maternal socioeconomic status, obst

165 approximates the probability of lysogeny for variable infection times by a time-weighted average of p

166 A 9.5-point risk score incorporating 5 variables (Interagency Registry for Mechanically Assiste

167 restingly, a change of coupling between both variables is observed during deep hypothermic CPB in all

168 Instrumental variable (IV) methods provide unbiased treatment effect

169 A risk SNPs (p < 5 * 10(-8)) as instrumental variable (IV).

170 ined carefully along with other experimental variables, keeping in mind that the effects of EVs may b

171 Furthermore, evolution of these traits is variable, leading to enhanced variance in speed among re

172 Further analyses suggest that the effect of variable leaf hydraulic conductance is negligible.

173 gn and analyse a CRISPR-Cas9 library with 10 variable-length guides per gene and thousands of negativ

174 features into the pipeline such as, handling variable-length read data, and searching spliced sequenc

175 Anchoring anti-PEG antibodies on cells via variable-length tethers for cell-based sandwich ELISA, t

176 xplanation for how cells properly respond to variable ligand concentrations and gradients.

177 cent from our most conservative simulation), variable linear polarization of a prompt optical flash t

178 ed with the whole basin apparently reflected variable losses of MeHg exported from upstream wetlands

179 ere examined as a continuous and categorical variable (<5.7%, 5.7%-6.5%, and >6.5%).

180 sed temporal self-similarity (alpha) of more variable lung function (CVpef) is associated with treatm

181 The scoring system consisted of clinical variables (male sex and previous percutaneous coronary i

182 arterial Pco2 and PET to measure the outcome variable, MBF.

183 Demographic, laboratory, and comorbidity variables measured prior to discharge.

184 Furthermore, variable metabolic content across samples result in spar

185 Understanding mechanisms underlying variable metabolic requirements of different Lyme diseas

186 Induced pluripotent stem cells (iPSCs) show variable methylation patterns between lines, some of whi

187 Venoms contain variable mixtures of bioactive proteins.

188 ut not >25 PMNs per LPF) was the microscopic variable most associated with high quality of induced sp

189 ent predictors of mortality included cardiac variables (New York Heart Association Functional Class I

190 mulus variability, the prior over the latent variable, noise power, and the choice of cost function.

191 distress syndrome onset, neither mechanical variables nor PaO2/FIO2 were associated with mortality.

192 e interval: 1.76-4.90), and, repeat variants variable number tandem repeat (VNTR) 4 DRD4 (odds ratio:

193 reaction (PCR) ribotyping and multiple-locus variable-number tandem-repeat analysis (MLVA) of selecte

194 While the responses were highly variable, numerous instances of cross-reactive killing w

195 ession and the Kaplan-Meier method to assess variables obtained at baseline and at first follow-up RH

196 The clinical variables of greatest predictive value were coma (31% ha

197 This work regulates several key variables of PbS NC assembly (e.g., NC concentration and

198 centration of CO2 in many aquatic systems is variable, often lower than the KM of the primary carboxy

199 here were significant effects of independent variables on all responses.

200 tion, nutritional status, and other relevant variables on individual preferences.

201 Frailty, as calculated by the 11 variables on the mFI.

202 extended patterns were not explained by task variables or temporally discrete sensory stimuli.

203 The air pollutant is highly variable over time and space, which makes it difficult t

204 models fitting stromal TILs as a continuous variable (per 10% increment).

205 ania species causing the disease can lead to variable performance.

206 A variable petal number distinguishes the flowers of Carda

207 tenatal BS, classic BS manifests with highly variable phenotypes.

208 e native state be expanded to allow for more variable physical dimensions with looser packing.

209 genomes, and because crop plants have highly variable ploidy and repeat content, the performance of G

210 These brain variables predicted future decisions to regulate emotion

211 Stepwise regression was used to determine variables predicting whether injuries were reported.

212 Models constructed from variables present in sensory references performed simila

213 Recognition of these variable presentations can be important for TSC diagnosi

214 A quasi-experimental instrumental variables probit model of the association correlation of

215 ted here could be applied to other spatially variable processes.

216 rganized in a rough topographic manner, with variable projection strengths.

217 ase contains demographic, clinical, and cost variables prospectively abstracted by certified coders f

218 In this work different semolina samples, of variable protein contents (10.5-14.2%) and %UPP (20.2-46

219 With MPRA Motif design, a set of variables provides fine control of how motifs are placed

220 VTST), both reaction-path VTST (RP-VTST) and variable reaction coordinate VTST (VRC-VTST), system-spe

221 estigate the frequency of use of light-chain variable region (IGVL) genes among patients with systemi

222 size, or parabolic in shape when considering variables related to sexual selection intensity, such as

223 It also provided a more proximate variable relating animal distribution to climate, allowi

224 and negatively correlated with environmental variables relevant to diffusion into soils (i.e., soil m

225 Negatively correlated variables represented indicators of suboptimal cardiovas

226 Analyses of multiple ultrastructural variables revealed four organizational features.

227 g changing quantities of marine rock or time-variable sampling effort.

228 of collinearity, to a traditional backwards variable selection approach.

229 The variable selection techniques studied in this work inclu

230 K genes exhibit a more aggressive course and variable sensitivity to current TK inhibitors, and in mo

231 d respiratory epithelium, causing disease of variable severity with little or no direct systemic effe

232 All of these variables should be considered when evaluating possible

233 ar model with V-wave change as a dichotomous variable showed that patients with a V-wave decrease of

234 Clearance estimate (as a continuous variable) showed a hazard ratio of 2.25 (95% confidence

235 In meta-regression analysis, variables significantly associated with conversion surge

236 s to generate customized CRISPR libraries of variable size and coverage depth for functional genomics

237 vity for detecting CD38(+) myeloma tumors of variable sizes (8.5-128 mm(3)) with standardized uptake

238 ive hepatomegaly caused by multiple cysts of variable sizes, distributed throughout all hepatic segme

239 Hsp40, -60, and -70 also had variable stimulatory effects in the cellular assay, but

240 Hemodynamic variables such as cardiac index and right atrial pressur

241 nts were extracted and narratively described variables synthesised into four categories.

242 p A Streptococcus (GAS) and an antigenically variable target of host immunity.

243 of polyimine COFs has been characterized at variable temperature and humidity, using electrochemical

244 koxypiperidines were prepared and studied by variable temperature NMR spectroscopy leading to the con

245 of this phase-change was followed by in situ variable temperature powder X-ray diffraction.

246 e change) and (ii) to explore which climatic variables (temperature or precipitation) trigger the pop

247 0a-d16 and MFM-181a-d16 were investigated by variable-temperature (2)H solid-state NMR spectroscopy t

248 rmed on eight tertiary biaryl 2-amides using variable-temperature (VT) NMR and exchange (EXSY) spectr

249 projected changes in two ecosystem-defining variables: temperature and food availability.

250 Climate change is causing warmer and more variable temperatures as well as physical flux in natura

251 Five of 15 variables tested were strongly associated with poor outc

252 ts brain correlates should be added to other variables that are predictive of weight gain to inform t

253 (ii) We identified the variables that impact Env's glycosylation profile at sit

254 We identify the variables that profoundly impact this event and allow co

255 trolling for injury severity and demographic variables, the difference in LOS for Medicaid vs non-Med

256 This leaves a single variable-the transmittance spectrum of the filter-which

257 omprising significant variables, but not the variables themselves, predicted involvement/non-involvem

258 g hazard ratio (HR)-weighted points to these variables, three risk categories were delineated for the

259 tion the dependence of MPR on the ICa gating variable time constants.

260 , information-carrying signals may arrive at variable times.

261 Thus, sex is a potential variable to consider in defining quantitative imaging me

262 Models of cell function that assign a variable to each gene frequently lead to systems of equa

263 nstrates the potential of this thermodynamic variable to modulate protein-ligand interactions.

264 Introducing these variables to a logistic regression analysis showed areas

265 ssion models for ordered-categorical outcome variables to compare symptom levels and trends between g

266 remains: what principle tells us which state variables to constrain?

267 the use of genetic variants as instrumental variables to estimate causal effects of risk factors on

268 D) data, meteorological fields, and land use variables to estimate daily 24 h averaged ground-level P

269 ating seasonal temperature and precipitation variables to historical annual fire activity for 37 diff

270 We used survey design and weighting variables to produce national estimates of annual adult

271 h that uses genetic variants as instrumental variables to test for causal associations.

272 e can be continuously adapted even to highly variable, unknown input signals via a feedback loop.

273 nalysed and employed to reduce the number of variables used to construct the models.

274 ible assays against diverse examples of this variable virus.

275 ent with appropriate antibiotics, there were variable visual outcomes.

276 The outcome variable was time interval between TTEs.

277 noninvasive ventilation use, an instrumental variable was used-the differential distance to a high no

278 Preoperative opioid use (binary exposure variable) was retrospectively queried from the home medi

279 utrient acquisition with both lower and more variable water availability, for instance increasing pla

280 ity and eruptive behaviour holds despite the variable water content and other parameters, such as tem

281 ne with selected combinations of independent variables were 8.20-59.17mg/100g on fresh weight basis.

282 Both variables were able to affect cell viability, and the re

283 Both oxygenation and pressure variables were associated with duration of ventilation i

284 The CMR variables were combined with the noninvasive components

285 he aortic diameter and any of the stratified variables were found (all p > 0.05).

286 The EEG variables were interpreted using standardized terminolog

287 Individual- and regional-level variables were significantly associated with hospitaliza

288 Most clinical variables were similar in the 2 groups; however, there w

289 Several clinical variables were strongly associated with shorter survival

290 tepwise selection, the 3 most discriminating variables were the oncogenetic classifier, MRD, and whit

291 sition, bone variables, and metabolic health variables when comparing children fed PDF with those fed

292 treatment effect in the presence of baseline variables with nonignorable missing values.

293 ngle units coded for diverse conjunctions of variables, with different dimensions anatomically overla

294 The RETREAT score was created using these 3 variables, with scores ranging from 0 to 5 or higher tha

295 s that the frequency of MSI events is highly variable within and across tumour types.

296 Semen parameters are variable within individuals, but it is unclear whether 1

297 o generate a reliable neural estimate of the variable world.

298 spectra of the compounds were measured using variable X-ray energies in the vicinity of the U L3 edge

299 d for nonlinear dependence of two continuous variables (X and Y).

300 score matching based on 16 baseline clinical variables yielded 1021 unique matched pairs.