ライフサイエンスコーパス: experimentation

1 ucturing", handling complexity and numerical experimentation.

2 nge mechanisms, a current focus of extensive experimentation.

3 pieces were stored in BSS until the time of experimentation.

4 ned the ground truth for our data set before experimentation.

5 rbations that are computed on-the-fly during experimentation.

6 r utility in complex chemical and biological experimentation.

7 bient temperature, and institutional site of experimentation.

8 tools for disease modelling and therapeutic experimentation.

9 ficans was dominant (>50%) after 6 months of experimentation.

10 characteristics to optimize high-throughput experimentation.

11 This prediction was validated by experimentation.

12 various lipid membranes without the need for experimentation.

13 taxis by combining theoretical modeling with experimentation.

14 onal Committee of Ethic Reflection on Animal Experimentation.

15 eceived ethics committee approval for animal experimentation.

16 potentially reducing the need for expensive experimentation.

17 sponse in this mouse model to educate future experimentation.

18 ng of the system's activity and guide future experimentation.

19 aveled through the interplay of modeling and experimentation.

20 formation is difficult and requires years of experimentation.

21 sphonoacetates utilizing parallel microscale experimentation.

22 gen interactions without the need for animal experimentation.

23 he data, and predicts if and how to continue experimentation.

24 ly than females that were not flushed during experimentation.

25 ssembly can be done just before the start of experimentation.

26 munity structure and generate hypotheses for experimentation.

27 eutic concepts prior to in vivo large animal experimentation.

28 rge-scale data, and to assist methodological experimentation.

29 sesses pharmacokinetics suitable for in vivo experimentation.

30 1 +/- 0%, respectively, over the 175 days of experimentation.

31 es to many compounds and using them to guide experimentation.

32 the basis for further functional and genetic experimentation.

33 al history, system-level theory, and careful experimentation.

34 ficient for identification and/or downstream experimentation.

35 hat is in our view unnecessary and excessive experimentation.

36 and therefore can be the subject of further experimentation.

37 a combination of synthesis, serendipity, and experimentation.

38 vide a scalable vertebrate model for in vivo experimentation.

39 r exploiting extant data to rationally guide experimentation.

40 s Candidatus Brocadia Fulgida throughout the experimentation.

41 bodies so that they can be directly used for experimentation.

42 ccessible embryos, juveniles, and adults for experimentation.

43 th high-throughput data sets for prospective experimentation.

44 shown to contain the epitope for this Ab by experimentation.

45 w predictions, which are verified by further experimentation.

46 e making long-standing questions amenable to experimentation.

47 hput preparation of live animals for optical experimentation.

48 a process commonly used in immune population experimentation.

49 ntrol mice (n=30) were isolated for in vitro experimentation.

50 and reproducibility in metabolic physiology experimentation.

51 cessible and high-throughput single-molecule experimentation.

52 and often require extensive trial-and-error experimentation.

53 f systems that cannot be monitored by direct experimentation.

54 rously testing this hypothesis requires more experimentation.

55 often hard to predict and therefore require experimentation.

56 inhibit angiogenesis viain vitro and in vivo experimentation.

57 ons, whereas inferences of causation require experimentation.

58 esources required for sample preparation and experimentation.

59 ical and chemical properties and exploratory experimentation.

60 ucibility and biological validity of ES cell experimentation.

61 s at a level of granularity ripe for further experimentation.

62 past, is not easily accessible to laboratory experimentation.

63 s and makes specific predictions for further experimentation.

64 artial substitution of both animal and human experimentation.

65 rom minor incremental improvement to radical experimentation.

66 n topical formulations have been in clinical experimentation.

67 edict outcomes to be validated by subsequent experimentation.

68 High-throughput experimentation allows for identifying the optimal ligan

69 ecreases the number of animals necessary for experimentation, allows division of the sample from a ho

70 eved through traditional in vivo or in vitro experimentation alone.

71 ent use should start prior to typical age of experimentation among ADHD patients.

72 play important roles in influencing smoking experimentation among students.

73 The combination of experimentation and CFD is a successful ECs calibration

74 Here we use a combination of multi-scale experimentation and computation to show that water is an

75 Using experimentation and computation we here show that the hi

76 A dual approach pairing experimentation and computational fluid dynamics (CFD) w

77 be used with an extensive range of external experimentation and data acquisition hardware, and inclu

78 s question has remained elusive despite much experimentation and debate.

79 l, and analytical chemistry, high-throughput experimentation and experimental design, process enginee

80 Subsequent laboratory experimentation and field investigations revealed how re

81 e that MAPs are suitable for high-throughput experimentation and for genome-wide screens for genes th

82 enzymological data accrued from a century of experimentation and generated a genome-scale enzyme-inhi

83 ation of embryonic stem cells using rigorous experimentation and implicate the methyltransferase Dnmt

84 Here we used an integrative approach of experimentation and mathematical flux balance analyses i

85 Here we combined experimentation and mathematical modeling to investigate

86 tion factor NF-kappaB in microglia combining experimentation and mathematical modeling, using TNFalph

87 l models are learning tools that help direct experimentation and measurements.

88 ircuit is best studied with a combination of experimentation and modeling.

89 learning continue to transform the nature of experimentation and modeling.

90 e-cell recording and, using a combination of experimentation and modelling, electrophysiological para

91 learning continue to transform the nature of experimentation and modelling.

92 High-throughput experimentation and multivariate modeling allow identifi

93 ds we develop, coupled with careful clinical experimentation and observation and, yes, still, a fair

94 strong genetic correlations (>0.5) with Drug Experimentation and other substance use traits measured

95 Using in vivo experimentation and physical modelling we reveal that th

96 ingly, these in silico data can direct ADMET experimentation and profoundly impact the progression of

97 examples to illustrate how, despite rigorous experimentation and proper controls, our understanding o

98 manner while simultaneously allowing in vivo experimentation and provides evidence that EVs are requi

99 les, TB-ATC provides distinct advantages for experimentation and quantification of applied forces and

100 for accurate, transparent, and reproducible experimentation and reporting of UVR exposure.

101 ver, remains poorly understood, despite much experimentation and speculation.

102 esent as hydrous TcO2-like chains throughout experimentation and that Tc's increased resistance to re

103 at the atomic scale through a combination of experimentation and theory.

104 7 model represents a valuable tool to pursue experimentation and therapeutic approaches that may be d

105 late disease can significantly reduce animal experimentation and time-to-the-clinic.

106 tal goals, including sweatshop labor, animal experimentation, and drone strikes that result in civili

107 onditions were optimized via high-throughput experimentation, and electron-rich and electron-deficien

108 ining logic-based network modeling, in vitro experimentation, and gene expression profiles from patie

109 both common observation and a large body of experimentation, and it is of limited use in explaining

110 ftware are available for further validation, experimentation, and modification.

111 in CADM2 and both sensation seeking and drug experimentation; and between variants in CACNA1I and neg

112 The local ethics committee of animal experimentation approved all investigations.

113 Computational simulations, akin to wetlab experimentation, are subject to statistical fluctuations

114 is in GH74, providing a framework for future experimentation as well as for bioinformatics prediction

115 with expertise in bioinformatics, biological experimentation, biocuration, and bio-ontologies, workin

116 etical and computational analysis as well as experimentation by emphasizing two strategies found in a

117 id foundation upon which further prospective experimentation can be developed.

118 mplantation and preparation to begin in vivo experimentation, can be completed in ~3-8 weeks.

119 als providing a miniaturized high-throughput experimentation capability that was used to study a chal

120 tructured and standardized protocols for the experimentation, collection and dissemination of data.

121 Autonomous closed-loop experimentation combined with advances in machine learni

122 Experimentations conducted using standard Rosetta showed

123 Morpholino-based experimentation confirmed that modulation of the seroton

124 Ideally, data-driven experimentation could be used to learn accurate models f

125 Further in vitro experimentation demonstrated that mAb 26.4 can opsonize

126 Scientific experimentation depends on the artificial control of nat

127 Here we extend such experimentation drastically, beyond dyads and beyond lab

128 expand the boundaries of neurophysiological experimentation, enabling analytical methods that were p

129 y depends on empirical knowledge and tedious experimentation-especially on rodents.

130 for organ engineering and regeneration, for experimentation ex vivo and potential clinical applicati

131 reviously unreported utility high-throughput experimentation for mechanistic elucidation is also desc

132 automation platform enabling high-throughput experimentation for synthetic route scouting to identify

133 Ldlr(-/-) mice, suggesting future courses of experimentation for the characterization of such epitope

134 ions, ultimately enabling massively parallel experimentation for the investigation of PPIs.

135 requires execution of large-scale structured experimentation for which laboratory automation is neces

136 barrier for remote and on-site life-science experimentation (for both experts and nonexperts alike)

137 optimization of spectrometry via closed-loop experimentation) for the robust and fully automated mult

138 Purpose Reproducibility of scientific experimentation has become a major concern because of th

139 Methods for autonomous experimentation have become more sophisticated recently,

140 Contemporary advances in experimentation have permitted a deeper understanding of

141 Clinical studies and animal experimentation have shown that colonic inflammation is

142 While animal experimentations have spearheaded numerous breakthroughs

143 ualization and mining of the high-throughput experimentation (HTE) data, Visual Basic scripts have be

144 tform that enables automated high-throughput experimentation (HTE) for electroorganic synthesis at a

145 Automated high-throughput experimentation (HTE) is a powerful tool for scientists

146 DESI-MS high throughput experimentation (HTE) reaction evaluation significantly

147 Through optimization using high-throughput experimentation (HTE), the NiXantphos ligand was found t

148 to demonstrate significance, our preliminary experimentation identified a high correlation between GR

149 Our mathematical predictions, confirmed by experimentation, identified key transcriptional regulato

150 mg, and machine-learning-enabled autonomous experimentation identifies stable compositions with less

151 Experimentation in 3-D presents challenges, especially w

152 Based largely on experimentation in anesthetized or reduced preparations,

153 ts that may be important for host-microbiome experimentation in animal models.

154 f associative learning theory and behavioral experimentation in animals and has become a topic of con

155 mprovement in efficiency for typical kinetic experimentation in batch as well.

156 remains understudied due to the challenge of experimentation in high-containment and outbreak setting

157 involve multi-drug combinations developed by experimentation in humans; unfortunately, the mechanisti

158 he discovery of a unique platform to support experimentation in low-temperature plasma science.

159 my of plant metabolism has shaped theory and experimentation in plant biology.

160 known caveats and limitations of optogenetic experimentation in the context of addressing these chall

161 ration of the retina, opening new avenues of experimentation in the field.

162 ng fossils of transitional forms with direct experimentation in the laboratory via genome manipulatio

163 s of environmental samples and physiological experimentation in the laboratory with defined microbial

164 To this end, we performed extensive experimentation in vitro and in vivo in an attempt to ve

165 demonstrated, via gain- and loss-of-function experimentation in vitro and in vivo, that miR-130/301-s

166 disease gene network coupled with molecular experimentation in vivo, these findings clarify the expa

167 Because this is not yet possible solely by experimentation in vivo, we combine computational modeli

168 utility of active learning-driven biological experimentation in which the set of possible phenotypes

169 is improvement may facilitate more efficient experimentation in which transformation efficiency is cr

170 Functional experimentation including viral rescue and complexome pr

171 odel captures the underlying dynamics of the experimentation, including an initial predation-delay at

172 Autonomous experimentation is an emerging paradigm for scientific d

173 Physiologically relevant experimentation is hindered by the low endogenous concen

174 Further experimentation is needed to test our results and both Q

175 r may suggest areas where further biological experimentation is required.

176 l with a 'pseudotime' where true time series experimentation is too difficult to perform.

177 hypotheses made by gap filling tools require experimentation, it is challenging to benchmark performa

178 date kinases that was narrowed by additional experimentation leaving CSK (C-terminal Src kinase) as t

179 ly in humans, where the difficulty of direct experimentation makes inference challenging.

180 evelopment of high-throughput and autonomous experimentation methods is reported for the effective op

181 application of miniaturized high-throughput experimentation methods to resolve synthetic chemistry c

182 ch requires biosafety level 4 facilities for experimentation, modelling can play a crucial role.

183 And third, meaningful experimentation must become acceptable in school systems

184 Experimentation of PCa cells with ERG overexpression or

185 al ecological processes, however, replicated experimentation on biological dispersal is lacking, and

186 ue level, we discuss optogenetically enabled experimentation on cell-cell coupling, alteration of con

187 dangerment of the devil population precludes experimentation on large experimental groups, those exam

188 ate and atmosphere simulator for multifactor experimentation on natural or artificial ecosystems.

189 The trends revealed from experimentation on post-mortem skin are then used to ide

190 In contrast, we show, by replicated experimentation on the spread of the ciliate Tetrahymena

191 osophila, and human, and also through direct experimentation on two different human cell lines.

192 mount of diffraction data in high-throughput experimentation, one can streamline the process of delin

193 ngs that chimpanzees with prior histories of experimentation, orphanage, illegal seizure, or violent

194 After extensive experimentation, outcomes of a first clinical normotherm

195 nd showed a suggestive association with Drug Experimentation (p = 3.0 x 10(-7), rs2163971; r (2) = 0.

196 ustomized control software, enabling modular experimentation packages and automated data pre-analysis

197 To facilitate downstream experimentation, pegFinder produces a comprehensive tabl

198 Equipping this automated experimentation platform with a Bayesian optimization, a

199 Thus, further preclinical experimentation, possibly using mouse models that more f

200 that computational simulations, validated by experimentation, predict that glycolytic production of A

201 y a common event and often requires a mix of experimentation, predictive computations, and luck.

202 e learning is a powerful tool for guiding an experimentation process.

203 rent predictions and decide when to stop the experimentation process.

204 droplet printing approaches an ideal for the experimentation, processing, or observation of many samp

205 re increasingly in demand as high-throughput experimentation protocols in academia and industry are a

206 g reactions was evaluated by high-throughput experimentation protocols.

207 DFT calculations combined with experimentation provided a rationale for the observed th

208 creasingly, the capacity for high-throughput experimentation provided by new imaging modalities, cont

209 l disorders are part of a repeating cycle of experimentation recurring since the mid-18th century.

210 Computational modeling and experimentation reveal that complex effects of caveolin

211 Mathematical modeling and experimentation revealed greater apoptosis of Listeria-s

212 Further experimentation revealed that even the earliest drops in

213 Modelling and additional experimentation revealed that this was most likely due t

214 reactions in 27 min using a high-throughput experimentation routine.

215 Impulsive personality traits and drug experimentation showed single nucleotide polymorphism he

216 Together, they show an evolutionary experimentation similar to the iterative evolutions of g

217 timulation, will follow a similar pattern of experimentation, speculation and marginalization.

218 of online diagnostics and autonomous robotic experimentation strategies, toward the size, shape, and

219 However, most in vitro experimentation studies that are used to evaluate micron

220 Further, in silico experimentation suggests that dynamics of CD8Treg primin

221 stematic Review Centre for Laboratory Animal Experimentation (SYRCLE) approach.

222 nditions was performed using high-throughput experimentation techniques.

223 Herein, we review the lines of experimentation that led to this understanding of RBC fu

224 is found to be suitable for high-throughput experimentation that requires a parallel and rapid ee de

225 rratt Impulsiveness Scale (BIS-11)] and drug experimentation (the number of drug classes an individua

226 Despite decades of experimentation, the mechanisms by which critical period

227 Integrated computation with experimentation then revealed a nonintuitive, mutant-spe

228 Together with functional experimentation, these data are rapidly enabling researc

229 ce that provides natural avenues for further experimentation through the development of new sampling

230 work, we combine mathematical modeling with experimentation to address this question.

231 REACH regulation requires the use of animal experimentation to assess the risk of industrial chemica

232 T-cell receptor specificities enables direct experimentation to better understand antiviral T-cell im

233 riant carriers for endolysosomal patch-clamp experimentation to confirm key in vitro findings.

234 We used high throughput experimentation to define stereoconvergent Suzuki-Miyaur

235 olution analysis, molecular simulations, and experimentation to define the interactions between the T

236 in opaque and that are in need of additional experimentation to enrich our understanding of how visio

237 ion often requires extensive trial-and-error experimentation to estimate parameter values and determi

238 we combined automated formal reasoning with experimentation to expose the logic of network activatio

239 re we combine mathematical modelling and lab experimentation to investigate the predation of an impor

240 econd layer representing the matrix, and use experimentation to parameterize our model and validate m

241 e a combination of mathematical modeling and experimentation to provide evidence that, counter-intuit

242 Here, we use single-molecule experimentation to reveal the obligatory succession of s

243 evel computational modeling and quantitative experimentation to solve this puzzle.

244 reas experimental systems are open to direct experimentation to test hypotheses of selection or ecolo

245 s) and further utilized in context of guided experimentation to verify false positive outcomes.

246 roscopic histopathology, both by autopsy and experimentation, to primarily originate from and involve

247 DESI-MS was employed as a high throughput experimentation tool to provide qualitative predictions

248 This new insight from field experimentation under hot and dry conditions, which will

249 The control experimentation using 5mg/mL bovine serum albumin in PBS

250 onadotropin surge, a result at variance with experimentation using genetic ablation of PGR signaling.

251 Experimentation using H(2)S is thus important to generat

252 nce of full behavioral modernity, systematic experimentation using trained throwers to evaluate the b

253 The use of microscale high-throughput experimentation was essential for both the rapid identif

254 By combining modeling and experimentation we expose reciprocal relationships betwe

255 Through modelling and experimentation we show that this arrangement generates

256 Through modeling and experimentation, we demonstrate that tasiRNA regulation

257 alyses, structural information, and in vitro experimentation, we describe the macro- and microscale f

258 Using model findings to guide experimentation, we determined that compensatory increas

259 rence and facilitate candidate selection for experimentation, we developed an algorithm called GRACE

260 Through experimentation, we discovered a unique phosphotyrosine

261 orter combined with mathematical and in vivo experimentation, we explore how noise affects the protei

262 sting cohorts with biochemical knowledge and experimentation, we predict and validate a group of micr

263 Using mathematical modeling and experimentation, we show that a second antagonistic "sel

264 Using theoretical modeling and experimentation, we show that current metrics of antipro

265 By combining theoretical modeling with experimentation, we show that streams emerge from the in

266 rcement learning simulations, and behavioral experimentation, we show that the resolution to this ten

267 Through mechanical modeling and experimentation, we tested whether pore formation is an

268 IPTs and drug experimentation were modestly heritable (5-11%).

269 need for much wider adoption of field-scale experimentation when assessing new technologies and prod

270 ose that this system will improve biological experimentation which requires fluidic and temperature c

271 hat supersedes traditional "trial-and-error" experimentation while guaranteeing uniform microstructur

272 iology tools and causality-driven laboratory experimentation will be essential in building new strate

273 It is likely that high-throughput experimentation will enable expansion of the synthetic c

274 ses safety by restricting escape concerns to experimentation windows.

275 To permit experimentation with a virus that retained a clinically

276 Experimentation with alcohol typically begins during ado

277 During experimentation with axonemes subjected to mild proteoly

278 In our experimentation with bacterial genomes from the Human Or

279 We discuss the importance of unifying experimentation with computational modeling and opportun

280 Here, we integrate robotic experimentation with high-throughput computation to navi

281 her than past sporadic behavioural risk (ie, experimentation with injection drug use, unsafe tattooin

282 Further experimentation with isolated adult cardiac myocytes and

283 We combined experimentation with mathematical modeling to elucidate

284 accines in World War II, and unethical human experimentation with mustard gas offer just a few cautio

285 rints would create a fertile environment for experimentation with new peer review and research evalua

286 f in vivo imaging experiments and facilitate experimentation with new, bright, photostable fluorescen

287 ection with the impedance-time technique and experimentation with novel mesoporous materials to filte

288 constraints on social learning and increased experimentation with point designs.

289 Systems cell biology melds high-throughput experimentation with quantitative analysis and modeling

290 The aim of this study was to investigate experimentation with smoking among primary school studen

291 aterials at school predicted a lower risk of experimentation with smoking.

292 smoking on campus predicted a higher risk of experimentation with smoking; the exposure to anti-tobac

293 dation of its functionality without physical experimentation with the hardware.

294 However, after thousands of years of experimentation with this metal, North American hunter-g

295 These findings may inspire further chemical experimentation with tonewood processing for instrument

296 iii) it presents more than a half century of experimentation with various models (e.g., acculturation

297 This suggests there was greater experimentation with wing-assisted locomotion before the

298 As with mammals, experimentation with zebrafish constitutes a complicated

299 Experimentation with, ever, and current smoking, and smo

300 Using in situ imaging and particle dipping experimentation within a focused ion beam and scanning e