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1                                                             To identify an optimal intervehicle distance for rendezvous c
2                                                             To identify RNA binding proteins potentially driving these pa
3                                                             To identify the epitopes targeted by clusters of Mtb-specific
4                                                             To identify the highest priority research needs across the pr
5                                                             To identify the molecular mechanisms and novel therapeutic ta
6                                                             To identify the underlying mechanisms associated with this ph
7 ntified agonists ATPgammaS and ATPalphaS, we were also able to identify a novel agonist, the synthetic analogue 2-fluoro-
8                              In addition, GMSimpute is able to identify the features in downstream differential expressio
9                                               We also aimed to identify changes in expression and subcellular distributio
10                                                    We aimed to identify genetic variants associated with asthma hospitali
11                        We used principal component analyses to identify eating behavior patterns, twin modeling to decomp
12 n susceptibility with multiple in-depth structural analyses to identify key ACE2 amino acid positions including 30, 83, 9
13               Here, we used genetic colocalization analysis to identify loci at which gene expression could potentially e
14 positories, scientists must rely on inconsistent annotation to identify and interpret meaningful data.
15                           Objective: To develop an approach to identify additional AF-related genes by integrating multip
16 an extensive neuropsychological and aphasiological battery, to identify fundamental domains of post-stroke aphasia.
17 d delayed results), significant research has been conducted to identify sepsis biomarkers.
18         A literature search of four databases was conducted to identify additional cases.
19 eview describes platforms benefiting from these cytosensors to identify cancerous breast cells.
20 edical record within 7 days of patient's ICU discharge date to identify and classify adverse events.
21                  Machine learning algorithms were developed to identify a combination of antigen- and epitope-specific an
22                                   These are quite difficult to identify because they originate from the different sputter
23                            We used Medicare inpatient files to identify index admissions for PCI and CABG from 2013 throu
24              Approaches based on compacted de Bruijn graphs to identify and extend anchors into locally collinear blocks
25 s, and confocal scanning laser ophthalmoscopy (CSLO) images to identify eyes with GVFD and predict quantitative VF mean d
26   This study utilised cell sorting and immunohistochemistry to identify a phenotypically-distinct, osteogenically-committ
27 ns in vitro and analyzed changes in mRNA and protein levels to identify mechanisms of tumor cell survival and proliferati
28 n Kenya is not well characterized, despite estimates needed to identify future health priorities.
29 ions primarily among people experiencing homelessness (PEH) to identify risk factors and support control measures.
30                      Monte Carlo simulations were performed to identify the first local minimum of the first derivative a
31 o 2,504 individuals from geographically diverse populations to identify and analyze Neanderthal sequences segregating in
32 tal stages using reverse genetics and holds great potential to identify novel drug targets and vaccine development.
33 ing is potentially the fastest available option in the race to identify safe and efficacious drugs that can be used to pr
34                 In addition, we performed linear regression to identify clinical factors associated with myocardial injur
35 sly address production and environmental goals are required to identify promising sustainable intensification options in
36                            We conducted a systematic search to identify complex system process evaluations that involve q
37  using Statistical testing and Machine Learning (ASAP-SML), to identify features that distinguish one set of antibody seq
38 ernative HBV screening strategies and the accuracy of tools to identify persons at increased risk.
39 aining topics reviewed were addressed with evidence updates to identify any new evidence and to help determine which topi
40 polymorphisms was applied to 290 isolates, which allowed us to identify 25 additional cases related to the outbreak durin
41                       Solving the V2F challenge requires us to identify causative genetic variants, relevant cell types/s
42 sion obtained before and after ozone exposure was also used to identify changes associated with neutrophil counts in the
43                            The results obtained can be used to identify sea buckthorn cultivars, develop crops and produc
44 proof-of-concept to show how Raman spectroscopy can be used to identify the types of tissues found in a nasal septal biop
45                  Universal molecular markers have been used to identify these species, but insufficient phylogenetic sign
46           The Hospital Episode Statistics database was used to identify adults in England receiving primary antireflux su
47                                A Broken line model was used to identify the periods of the learning curve.
48  and 2 social media platforms (Facebook, YouTube) were used to identify online information most accessible to patients.
49 hazards model (PHM) and propensity score matching were used to identify predictors for discontinuation due to inefficacy
50                      Great efforts are being made worldwide to identify the specific clinical characteristics of infected