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1                                                             Data collection for long-term follow-up is ongoing, but the t
2                                                             Data collection included areas of antenatal management, deliv
3                                                             Data collection included colon preparation quality, based on
4                                                             Data collection spanned 98 separate nights of ad libitum slee
5                                                             Data collection took place from Sept 19, 2016, to Feb 26, 201
6                                                             Data collection was performed over 12 months.
7 A causal perspective on these issues allows decisions about data collection, annotation, preprocessing, and learning stra
8 as fields in California; therefore, we recommend additional data collection from all types of wells but especially active
9 tem, and additional tools and utilities for computation and data collection.
10                                              Enrollment and data collection began in May 2018 and will continue through A
11                                        HAPIN enrollment and data collection began in May 2018 and will continue through A
12  should be improved by streamlining patient recruitment and data collection through innovative design elements.
13                  While technological advances in automating data collection and its analysis are moving at an unprecedent
14                                                 As clinical data collection was compromised during the lockdowns, standar
15                                  The final date of clinical data collection was December 2017.
16                                            Various clinical data collection methods exist, each with strengths and weakne
17 n control, the informed consent model, protocol complexity, data collection, and implementation integrity.
18               We applied our method on a very comprehensive data collection by including 32 TCGA cancer types.
19 We highlight the importance of a coordinated and consistent data collection approach and the relevance of defining specif
20 rally favourable for virtual reality, variation in devices, data collection tools and outcome measurements mean that caut
21 xisting approaches to enable rapidly scalable epidemiologic data collection and analysis, which is critical for a data-dr
22 ght-matter interactions over a wide sensing area, extending data collection from 3D to 4D by tracking real-time biomolecu
23 ological realities of the system, accounting for noise from data collection limitations, as well as spatial restrictions.
24                                                  Our global data collection yielded an HIV-1 molecular epidemiology datab
25 tes Evaluation (JADE) platform provides a protocol to guide data collection for issuing a personalized JADE report includ
26         Passive acoustic monitoring has become an important data collection method, yielding massive datasets replete wit
27 ystems are becoming increasingly prevalent with advances in data collection and machine learning algorithms.
28 eality check and considers the importance of computation in data collection/storage and algorithm design.
29 sion medicine pipeline may contribute to inconsistencies in data collection, missing or inaccurate classifications, and m
30 figurations to be defined for experiment metadata and local data collection, and handles metadata entry and linkage of da
31 ential to significantly increase efficiency and accuracy of data collection and sample processing during time-limited cor
32    Although research conducted online solves the problem of data collection, the paucity of internet access among low-inc
33 i in a broad range of thermal gradients with a high rate of data collection.
34 yclically preregistering new hypotheses in between waves of data collection, we identified individual, contextual, and te
35 demonstrates how active learning can be used to guide omics data collection for training predictive models, making eviden
36                      Using data from the National Perinatal Data Collection we compared rates of preterm births and small
37 s kind - demonstrates that intentional rounding prioritises data collection through tick boxes or a prescriptive and stru
38                                                 Qualitative data collection using in-depth interviews and focus groups wa
39  Demographic and Health Surveys from 2000-2016, qualitative data collection and analysis, and analyses of key nutrition-s
40  if they (a) used qualitative research designs, qualitative data collection and analysis; (b) included participants aged
41 tion strategies in which extensive prospective high-quality data collection at catheter insertion and catheter removal wa
42 pport the need for standardization and harmonization of REA data collection and use in clinical genetics and precision he
43 noise, improves downstream analysis in addition to reducing data collection time.
44 thereby reducing damage, has rendered room temperature (RT) data collection more practical and also extendable to microcr
45 an electronic detector threshold allows for faster spectral data collection with improved stability.
46                          High-resolution mass spectrometric data collection was conducted in a dual ion mode and chemical
47                                     Additional vital status data collection and subsequent analyses were performed post h
48                                                         The Data Collection on Adverse Events of Anti-HIV Drugs (DAD) stu
49 ort better use of the data, by accounting for biases in the data collection process.
50 ware for the long-term analysis of a user's excreta through data collection and models of human health.