ライフサイエンスコーパス: data collection

1 ation and outcome using fMRI (planned before data collection).

2 ) or charge coupled device (CCD) sensors for data collection.

3 ssessed through adverse event and laboratory data collection.

4 pre-processing and on-the-fly monitoring of data collection.

5 All outcomes were planned prior to data collection.

6 ifferent clinical settings and challenges to data collection.

7 for sensitive, quantitative, and multiplexed data collection.

8 uropsychological testing and immunovirologic data collection.

9 (SFX), leveraging orders-of-magnitude faster data collection.

10 nd registration across different sessions of data collection.

11 et criteria and completed all four points of data collection.

12 nic databases and chart review were used for data collection.

13 The current study uses the Scopus for data collection.

14 form database templates to ensure consistent data collection.

15 duces high-quality results on a diverse fMRI data collection.

16 f mitigating truncation error and burdens of data collection.

17 n in areas without resources for traditional data collection.

18 standardized script and mobile touch-screen data collection.

19 ithm) software, adjusted for age at baseline data collection.

20 ly one of the tools available for linguistic data collection.

21 ld have decreased ENFD was formulated before data collection.

22 sessing orientation distributions to improve data collection.

23 the need to target these processes in future data collection.

24 pose a serious challenge regarding efficient data collection.

25 nge of thermal gradients with a high rate of data collection.

26 onal tools and utilities for computation and data collection.

27 been off treatment for at least 24 months at data collection.

28 Master protocols allow better efficiency in data collection.

29 ropsychological testing, and immunovirologic data collection.

30 d algorithm yields more efficient autonomous data collection.

31 2 samples were achieved in only ~4.4 h of MS data collection.

32 ish principles guiding paediatric cancer NSP data collection.

33 create, read, inspect and manipulate cooler data collections.

34 lel with the recent explosion of the size of data collections.

35 consistent levels across three longitudinal data collections.

36 Four PROs questionnaires were utilized for data collection: (1) Multidimensional Scale of Perceived

37 epresentative German sample with 19 waves of data collection (1995-2013) to estimate effects of betwe

38 cross-sectional design involving 3 waves of data collection (2000-2009).

39 Baseline data collection (2006-2010) included measurements of GS

40 on of over 500 proteins within minutes of MS data collection (~3.5 proteins per second).

41 ipant eligibility criteria with settings for data collection, 43% (204/478; 95% CI, 39%-47%) reported

42 ardized data extraction process was used for data collection, a multi-faceted annotation scheme was d

43 Systematic trait data collection across all climates and biomes is still

44 is included lack of uniform health screening data collection across all nine sites and possible miscl

45 tocols, outcomes, resource-use measures, and data collection across the trials and specified all anal

46 e argue for the utility of more standardized data collection, adopting a connectomics approach to und

47 We examined the effects of sample size and data collection age and intervals on the results and ide

48 cluster, with contact in the 3 months before data collection; aged 18-75 years; and not imprisoned.

49 significant inherent reporting delays due to data collection, aggregation, and distribution processes

50 T has also very good temporal performance in data collection allowing for monitoring of fast response

51 a systematic and iterative approach for all data collection, analysis, and generation of theory.

52 not have roles in the design of the study or data collection, analysis, and interpretation and played

53 patient cohort structured to ensure rigor in data collection, analysis, and interpretation.

54 inues to grow, adoption of best practices in data collection, analysis, presentation and interpretati

55 d programs; and 4) retrospective qualitative data collection and analyses.

56 In the new era of internet of things, big data collection and analysis based on widely distributed

57 n together, we illustrate how flexibility in data collection and analysis can be avoided, which will

58 Data collection and analysis drew on the theoretical sam

59 care were developed as part of simultaneous data collection and analysis during qualitative research

60 s from BRAC University who were engaged with data collection and analysis in a broader embedded IR st

61 his transformation is that multi-dimensional data collection and analysis is usually carried out with

62 (Exact dates are not available because the data collection and analysis processes were iterative.).

63 Since that time, data collection and analysis schemes have been fine-tune

64 of the intervention precluded blinding, but data collection and analysis were independent of project

65 urity, insufficient resources and skills for data collection and analysis, and absence of validated m

66 d Health Surveys from 2000-2016, qualitative data collection and analysis, and analyses of key nutrit

67 iscipline, experimentally directed research, data collection and analysis, and scientific writing.

68 hes to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a da

69 molecular and unit cell size that influence data collection and analysis.

70 ors lacked clear definitions and guidance on data collection and analysis.

71 sed a constant comparative approach to guide data collection and analysis.

72 ed qualitative research designs, qualitative data collection and analysis; (b) included participants

73 Oaxaca-Blinder decomposition; 3) qualitative data collection and analysis; and 4) analysis of key nut

74 y journals from 1998 to 2018, novel emerging data collection and analytic methods, and current use an

75 We also apply common data collection and analytical techniques in the field a

76 ements for additional noninvasive methods of data collection and automatic analysis of natural gestur

77 with several opportunities and challenges in data collection and data analysis.

78 A2 mutation carrier status using prospective data collection and demonstrate the potential importance

79 yielding 95% power in addition to ultra fast data collection and determination.

80 re missing can dramatically speed up network data collection and improve network model validation.

81 Further data collection and in-depth mixed-methods research are

82 We outline a systematic approach for data collection and interpretation of such complementary

83 While technological advances in automating data collection and its analysis are moving at an unprec

84 emaining research gaps warranting additional data collection and lend to the development of evidence-

85 The MBA can be deployed with high-throughput data collection and low inter-plate variability while en

86 ming increasingly prevalent with advances in data collection and machine learning algorithms.

87 Data collection and medical management were based on sta

88 We discuss the natural next steps in data collection and methodology development, with a focu

89 nd provides a potential platform for further data collection and modelling studies.

90 ng-term analysis of a user's excreta through data collection and models of human health.

91 Investigators responsible for data collection and outcome assessment were masked to tr

92 k were subjected to 10- to 15-second PIRL-MS data collection and principal component analysis with li

93 sensing method is operationally simple, and data collection and processing are straightforward.

94 Second, experimental protocols, including data collection and processing such as ohmic- and backgr

95 lusions of this study comes from independent data collection and processing, pre-registration of anal

96 duals in CS surveys are valid approaches for data collection and programmatic decisions in comparable

97 ential for real-world evidence to streamline data collection and reduce cost and time of trials.

98 Peculiarities in the methods of data collection and reporting in those original sources

99 In order to harmonize methods for future data collection and reporting, the task force members pr

100 predictions highlights the need for further data collection and research to improve our understandin

101 s is because of a lack of robust transgender data collection and research, especially within demograp

102 Primary outcome data collection and safety were also assessed, whilst ma

103 ficantly increase efficiency and accuracy of data collection and sample processing during time-limite

104 is framework by applying it to other genomic data collection and sharing endeavors.

105 ropose several recommendations to strengthen data collection and standardise analyses.

106 Additional vital status data collection and subsequent analyses were performed p

107 Short times of data collection and the fact that the technique can be a

108 and finally the IT revolution with wireless data collection and transmission via Bluetooth or smartp

109 for standardization and harmonization of REA data collection and use in clinical genetics and precisi

110 Oncology, the field where Big Data collection and utilization got a heard start with p

111 levant permissions and arrangements made for data collection) and pilot tested where relevant.

112 ragency collaboration to coordinate, improve data collection, and analyse available programmes is in

113 ndations for assessment of disease severity, data collection, and endpoint definitions.

114 be defined for experiment metadata and local data collection, and handles metadata entry and linkage

115 informed consent model, protocol complexity, data collection, and implementation integrity.

116 h utilizing larger sample sizes, prospective data collection, and measurement of serum thyroid hormon

117 r birth registrations), the Admitted Patient Data Collection, and public school enrolment records, as

118 flect both physical and social dimensions in data collection, and suggest that further opportunities

119 he longitudinal study design, methodology of data collection, and the repositories of data, biospecim

120 ndations for assessment of disease severity, data collection, and updated endpoint definitions.

121 and Phylo(3) have proven very successful for data collection, annotation and processing, but for the

122 ctive on these issues allows decisions about data collection, annotation, preprocessing, and learning

123 e importance of a coordinated and consistent data collection approach and the relevance of defining s

124 to reanalyzing and integrating this massive data collection are methods that can computationally rec

125 f the application of each method for Oregano data collection are presented.

126 iation is generally ignored because repeated data collections are considered costly and burdensome.

127 Routine surgical data collection at both the health facility and househol

128 in which extensive prospective high-quality data collection at catheter insertion and catheter remov

129 y water requires a long-term experiment with data collection at multiple time points (3-4 weeks for m

130 Comprehensive data collection based on self-reported lifestyle informa

131 Enrollment and data collection began in May 2018 and will continue thro

132 HAPIN enrollment and data collection began in May 2018 and will continue thro

133 e applied our method on a very comprehensive data collection by including 32 TCGA cancer types.

134 modal data may not be obvious and multimodal data collection can be medically contraindicated, which

135 recision, and prioritizing supplier-specific data collection can further enhance precision in a cost-

136 However, ceiling effects and burden of data collection can limit use.

137 roach for handling metadata and experimental data collection, collation and linkage in the exemplar s

138 om February 11, 2014, to June 30, 2016, with data collection completed in October 2016.

139 he breadth of data produced by NTP, the CEBS data collection component is an integrated relational de

140 ble of searching through CDR3s from immunome data collections containing millions of sequences.

141 evelopment are to provide infrastructure for data collection, curation, and annotation, and more impo

142 f equity, consent, and patient governance in data collection; discrimination in data uses; and how to

143 As a part of data collection, dried blood spot (DBS) and urine sample

144 cords of all participants until the point of data collection (duration of study eye monitoring).

145 se policy implementation timing necessitated data collection during holidays when SSB demand may be m

146 The result is a more comprehensive data collection ecosystem in precision medicine.

147 COVID-19 on cancer patients, an entirely new data collection effort was initiated within the Thoracic

148 We harness major data collection efforts underway by OpenStreetMap, Googl

149 wenty-nine depression registries and related data collection efforts were identified and invited to s

150 exist several large genomic and metagenomic data collection efforts, including GenomeTrakr and MetaS

151 emerged as a low-cost alternative to direct data collection efforts.

152 Data collection ended in October 2016.

153 e across the United States; ongoing national data collection, expert discussion, and clinical studies

154 (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report i

155 Data collection for long-term follow-up is ongoing, but

156 d ethics of social media- and Internet-based data collection for public health surveillance.

157 This paper describes the exposure data collection for the Household Air Pollution Interven

158 nts consented to completing >=1 component of data collection for their child.

159 Data collection for these analyses occurred between Janu

160 w active learning can be used to guide omics data collection for training predictive models, making e

161 tors extracted the data using a prespecified data collection form and a third investigator adjudicate

162 With a purpose-built data collection form, data on study characteristics, sam

163 Using a predesigned data collection form, we extracted information about stu

164 facility registers and other sources using a data collection form.

165 ractions over a wide sensing area, extending data collection from 3D to 4D by tracking real-time biom

166 eaf miner-parasitoid networks using a year's data collection from a long-term grassland fertiliser ap

167 lifornia; therefore, we recommend additional data collection from all types of wells but especially a

168 The system reduces the timescale of data collection from days to minutes and allows for cont

169 NIR instrument was used for on-line spectral data collection from grapes transported on a conveyor be

170 This performance assessment study involved data collection from physicians (n = 553) attending 3 di

171 at at the very least thoughtful planning and data collection from randomized clinical trials are need

172 e we took advantage of several large genomic data collections (Genotype-Tissue Expression, The Cancer

173 d discover within biologically heterogeneous data collections, hampering the identification of multi-

174 Sample size, frequency, and timing of data collection have a major influence on the number and

175 inked to cancers through June 30, 2014, with data collection in 2016 and analysis in 2018-2019.

176 Based on summer data collection in both provinces, after controlling for

177 The demand for high-throughput data collection in electron microscopy is increasing for

178 September 2013 and December 2016, with final data collection in March 2019.

179 The volume and complexity of data collection in PERCH presented considerable logistic

180 cologists often use image capture to bolster data collection in time and space.

181 Data collection included 500 hours of direct observation

182 Data collection included areas of antenatal management,

183 Data collection included colon preparation quality, base

184 Data collection included demographic and clinical charac

185 Data collection included sex, age, laterality, and durat

186 At study visits, data collection included sexual behaviour questionnaires

187 Although the pipeline for single-particle data collection is becoming routine, there is much varia

188 n for species population monitoring in which data collection is closely integrated with models and in

189 Even though the data collection is considered high-throughput, data anal

190 ling parameters even when the time window of data collection is truncated.

191 ibe in detail the study design, recruitment, data collection, lessons learned, and baseline character

192 e we describe the study design, recruitment, data collection, lessons learned, and baseline participa

193 ies of the system, accounting for noise from data collection limitations, as well as spatial restrict

194 Longitudinal data collection may be challenging and cost prohibitive.

195 We have developed a new data collection method and processing framework in full

196 acoustic monitoring has become an important data collection method, yielding massive datasets replet

197 Various clinical data collection methods exist, each with strengths and w

198 e, sample selection procedures, recruitment, data collection methods, content of interview and examin

199 birds and compared networks built from both data collection methods.

200 sations and differences between countries in data collection methods.

201 ipeline may contribute to inconsistencies in data collection, missing or inaccurate classifications,

202 ardizing parameters across the study design, data collection, monitoring, analysis, integration, know

203 g damage, has rendered room temperature (RT) data collection more practical and also extendable to mi

204 At the time of data collection nine BRCAm patients had received a PARP

205 ill volumes included education, standardized data collection, novel and unblinded information cascade

206 an obstacle due to advances in automation of data collection, obtaining the same number of structural

207 All data collection occurred between June 1, 2013, and April

208 Physiologic data collection occurred hourly; laboratory data were co

209 Data collection occurred in the period from February to

210 alysis of the three studies with prospective data collection of asthma diagnosis revealed a positive

211 Comprehensive data collection of risk factors was done through 2 years

212 The cost and challenge of data collection often limit the breadth and scope of eco

213 Participants in the Data Collection on Adverse Events of Anti-HIV Drugs (D:A

214 In total 35442 persons from the Data Collection on Adverse Events of Anti-HIV Drugs (D:A

215 ds ratios (ORs) were calculated based on the Data Collection on Adverse Events of Anti-HIV Drugs (D:A

216 The Data Collection on Adverse Events of Anti-HIV Drugs (DAD

217 dynamic nuclear polarization was adapted to data collection on low-concentration samples by radiofre

218 Demographic data collection, ophthalmic evaluation, ultrasound scan,

219 s are likely to be sampled due to stochastic data collection or sequencing techniques.

220 demand for additional routine administrative data collection, or for systematic incorporation of addi

221 Based on a very fine-grained data collection over a year, this study will introduce a

222 leep experiments are conducive to continuous data collection over long periods (hours/days/weeks) and

223 Enhanced data collection, particularly on the third and fourth pa

224 nce improved significantly during the 30-min data collection period in all experimental conditions.

225 ), 30 per technician-physician pair for each data collection period: baseline, immediately postinterv

226 Using a harmonised data collection plan coordinated with multiple cohorts i

227 whether anyone had left the hospital at each data collection point.

228 After data collection, post-localization 2D-to-3D transformati

229 lysis but also accelerate the time-consuming data collection process by allowing lower electron dose

230 en-scientists in the monitoring, siting, and data collection process.

231 of the data, by accounting for biases in the data collection process.

232 the development of consortia and large-scale data collection projects and the use of novel methods (e

233 This work uses an enhanced data collection protocol to collect rare functional MRI

234 to a rigorous geographical randomisation and data collection protocol.

235 ce network using standardized laboratory and data collection protocols, develop sustainable systems f

236 Methods included behavioral data collection, provision of injection equipment, HIV t

237 Large-scale observational data collection requires: 1) quality assurance and harmo

238 advantage of new technologies and methods of data collection, responding to "big data" analysis chall

239 to limitations of the experimental design or data collection schema.

240 ol takes 3-6 h to set up a typical automated data collection session.

241 a linear mixed-effects model controlling for data collection site.

242 testing group withdrew consent to follow-up data collection, so 446 (>99%) women in this group were

243 Data collection spanned 98 separate nights of ad libitum

244 h labeling density or the desire for greater data collection speed can lead to clusters of overlappin

245 d considers the importance of computation in data collection/storage and algorithm design.

246 It also provides a systematic way to improve data collection strategies to obtain unambiguous informa

247 s to biochemistry, cryo-EM grid preparation, data collection strategy, and image processing, are disc

248 Materials and Methods In this retrospective data collection study, the International Atomic Energy A

249 An independent data collection system was set up at each hospital to ga

250 were randomly assigned (1:1) by a web-based data collection system, stratified by clinical centre in

251 s the reliability of the sensor hardware and data collection systems, and identify modes of failure t

252 elp in vector control by boosting scientific data collection, tapping into local knowledge, and build

253 Independent data collection teams recorded data for all pregnancies

254 of mainstream science to fully embrace this data collection technique demands a rigorous examination

255 Recently, a new data collection technique, which consists of acquiring s

256 t academic meetings and allows for efficient data collection that can be used to further explore and

257 earch conducted online solves the problem of data collection, the paucity of internet access among lo

258 nistrative datasets, including the Perinatal Data Collection, the Register of Births, Deaths and Marr

259 oved by streamlining patient recruitment and data collection through innovative design elements.

260 OVID-19 Cardiovascular Disease Registry with data collection through July 22, 2020.

261 licitly recognise the value of comprehensive data collection through registries at all stages in the

262 trates that intentional rounding prioritises data collection through tick boxes or a prescriptive and

263 ments; (ii) drastic reduction of the overall data collection time process; and (iii) maintaining the

264 downstream analysis in addition to reducing data collection time.

265 Finally, we demonstrate that CIU data collection times can be further reduced by scanning

266 y for tested elements (Ca, Sr, and K), quick data collection times, and Limits of Detection (LODs) th

267 rafast imaging techniques often rely on long data collection times, which can be due to limited devic

268 these aims, and our strategy for centralised data collection to allow for ELIXIR-wide analyses.

269 dence, we define priorities for research and data collection to discern causes and inform future pneu

270 l modeling, and smartphone-based large-scale data collection to test, in the absence of learning-rela

271 of phenotypes, identify key time points for data collection to understand wheeze heterogeneity, and

272 zing individual-level space use and movement data collection to understand wildlife disease dynamics

273 All data collection took place between 15 January 2013 and 1

274 Data collection took place from Sept 19, 2016, to Feb 26

275 Data collection took place when the participants were be

276 and a global effort to create a standardized data collection tool moving forward could help effective

277 For standardization, a pre-designed data collection tool was developed for uniform data acqu

278 e for virtual reality, variation in devices, data collection tools and outcome measurements mean that

279 Qualitative data collection using in-depth interviews and focus grou

280 To achieve this goal, improved data collection using wearable technology, in combinatio

281 nst country-level variables from the year of data collection; variation in spectacle correction was d

282 Furthermore, high-throughput data collection via on-line ESI mass spectrometry facili

283 The date of final data collection was 2018.

284 As clinical data collection was compromised during the lockdowns, st

285 High-resolution mass spectrometric data collection was conducted in a dual ion mode and che

286 The final date of clinical data collection was December 2017.

287 GARPEC-China data collection was funded by the Sanming Project of Med

288 Data collection was guided by the Systems Engineering In

289 Data collection was performed over 12 months.

290 The main instrument of data collection was specially designed and validated for

291 Data collection was undertaken in acute care and primary

292 Prospective data collection was used during 2004-2007.

293 Using data from the National Perinatal Data Collection we compared rates of preterm births and

294 gistering new hypotheses in between waves of data collection, we identified individual, contextual, a

295 A range of sites for conventional data collection were selected to represent both primary

296 ing consensus on measures and consistency in data collection will allow meaningful comparisons and pr

297 etector threshold allows for faster spectral data collection with improved stability.

298 dard operating procedure for single-particle data collection with Thermo Fisher Scientific EPU softwa

299 Assay type, sex, population type, year of data collection, year of publication, sample size, and s

300 Our global data collection yielded an HIV-1 molecular epidemiology