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1 assessment of the spectra by an experienced analyst.
2 been determined to be 40 samples per day per analyst.
3 ns, yielding a wide array of choices for the analyst.
4 ew challenges have been created for the data-analyst.
5 , data acquisition, and interaction with the analyst.
6 were coded and interpreted by an independent analyst.
7 d processing without the intervention of the analyst.
8 the laboratory environment, and/or even the analyst.
9 t giving further specific information to the analyst.
10 ackage accessible to both biologist and data analysts.
11 neChip data has been a recent focus for data analysts.
12 unreported, and hence can be missed by meta-analysts.
13 continue to interest American health policy analysts.
14 cted without much supervision of experienced analysts.
15 s were contoured manually by two independent analysts.
16 on was used to analyze data with staff as co-analysts.
17 lyses are expensive and require well-trained analysts.
20 sota, and Arizona), a systems and procedures analyst, a quality office analyst, and two physician mem
21 ocess flowchart of the IRB review process, 2 analysts abstracted temporal data from the records perta
26 es, extending the capabilities of the pollen analyst and improving the taxonomic resolution of the pa
27 rison between the V3'' obtained by the human analyst and that obtained by the automated OSA analysis
29 portance of collaborative processes, whereby analysts and decision-makers educate one another about t
30 he proposed approach, which is of benefit to analysts and designers of complex systems and networks.
34 balance between throughput (270 samples/day/analyst) and sensitivity/accuracy/precision of AMS measu
35 action conditions, added flexibility for the analyst, and a marked increase in the achievable sample
36 e chemical nature present a challenge to the analyst, and as a result, several analytical techniques
37 sensitivity performance metric across batch, analyst, and instrument; enabling chemists with discreti
38 overview of the day-to-day activities of an analyst, and thoughts on how to prepare to look for a jo
39 ems and procedures analyst, a quality office analyst, and two physician members to address the identi
41 , whereby basic scientists, clinicians, data analysts, and epidemiologists work together to understan
43 teractions between physicians and investment analysts, and outline issues that all individuals involv
46 rosols represents a significant challenge to analysts, and studies are frequently limited to determin
47 nse system and investigators, patients, data analysts, and the trial sponsor were masked to treatment
49 hat have been entered by JCVI Bioinformatics Analysts as well as 7458 automatically imported names.
50 was mainly due to underconfidence such that analysts assigned more uncertainty than needed given the
51 al method among laboratories but not between analysts at individual laboratories, suggesting consiste
53 eeded to confirm the predictions or send the analysts back to the drawing board to devise new ones.
55 This is particularly challenging for a human analyst because large quantities of less than relevant d
56 asets presents new opportunities to big data analysts, because the knowledge that can be acquired fro
59 quantification was 0.07 amol, and a skilled analyst can prepare as many as 270 AMS targets per day.
61 ted laboriously, with human transcribers and analysts coding and taking measurements from small recor
62 clinicians, laboratory scientists, and data analysts come together to plan, execute, and publish the
65 d, the model estimated 894 seals compared to analyst counts of 913, and at Hay Island estimated 2188
66 , and geospatial data from the Esri Business Analyst database (Esri, Inc., Redlands, California) were
67 ughput AMS analysis (270 targets per skilled analyst/day) along with accurate and precise F m values.
68 greater coordination among ENM quantitative analysts, exposure modelers, and ecotoxicologists, acros
69 ost-utility analyses, in addition to whether analysts followed recommended protocols for performance
71 ent was observed between and within CT image analysts for the presence (kappa > 0.90, all) and amount
74 his sample represents the knowledge that the analyst has gained from the data about the unknown true
76 or 1985-1999] and the Health Care Investment Analysts [HCIA] hospital discharge database [data availa
78 n, but few tools are available to assist the analyst in visualizing the entire raw data set and as a
79 ce the transparency of study methods, assist analysts in providing complete information, and facilita
80 ature shows how these nanocavities can serve analysts in sample preparation, sensitivity and selectiv
81 hand-held XRF spectrometers used by multiple analysts in six separate laboratories across the United
82 sensor devices, according to Global Industry Analysts, Inc., is expected to reach $12 billion by 2015
84 Identifier mapping (IDM) is needed when an analyst is combining two high-throughput (HT) measuremen
87 f microdroplets, which promises to offer the analyst many potential advantages over existing technolo
89 romatograms (XICs), which facilitates rapid, analyst-mediated interpretation of GC- and LC/MS(n) data
92 dance is strategic for public policy because analysts need to be: (1) realistic when setting prioriti
93 ves immediate graphical feedback to the data analyst on parameter settings and processing results, as
95 ws that before trading began for these CTPs, analysts overestimated the value of allowances in a patt
96 ted World War II Allied military operations; analysts pored over stereoscopic photographs, becoming e
101 Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model and detailed Orange Coun
102 Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model, we found that the 32-mo
104 Rather than a single exact algorithm, the analyst's judgment on a number of aspects is required in
106 evices can facilitate these steps and reduce analyst/sample contact, they remain prototypic and expen
107 ion of raw data directly in the hands of the analyst-saving great quantities of human time without lo
112 estimating the crude incidence of outcomes, analysts should use the cumulative incidence function, r
114 Using our Regional Healthcare Ecosystem Analyst simulation model of all health-care facilities i
117 itation rates and the prior knowledge of the analyst, this method presents a thorough and nonsubjecti
118 irichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experime
120 feature-specific errors, and also allow the analyst to identify the experimentally introduced dye bi
122 ses the statistical power, thus enabling the analyst to rule out a potentially much larger number of
123 dels of "tagged" social processes allows the analyst to show how democratic states predicate their be
124 implement, more robust, and exposure of the analyst to the sample is reduced by a novel DESI interfa
125 er time, and only selected procedures enable analysts to assess the sensitivity of their inferences t
126 rics and visualization techniques that allow analysts to compare clusterings or to judge cluster qual
129 there is no comprehensive method that allows analysts to evaluate, compare, and refine cluster assign
131 omparisons of clustering results and enables analysts to manually curate and refine cluster assignmen
132 Among other things, the approach permits analysts to model (i.e., conceptualize) system dynamics,
133 analysis capabilities should encourage data analysts to perform design-based analyses whenever possi
134 programming framework enables developers and analysts to quickly and easily write efficient and robus
135 L analysis less popular and sometimes forces analysts to restrict their attention to just a small sub
136 al properties of small molecules, obligating analysts to seek multiplatform and multimethod approache
137 lp clinicians, scientists, and health-policy analysts to select the most up-to-date medical literatur
138 ation guide for scientists, as well business analysts, to help them navigate the jungle of different
140 ld-flow fractionation (FFF), the experienced analyst understands the importance of incorporating addi
142 s developed to simulate the approach a human analyst uses when categorizing click types: Clusters of
157 s it suitable for bioinformatics expert data analysts who are experienced with relational database ma
159 es for all samples, in the hands of multiple analysts, with a variety of supplies and instruments.
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