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1  the laboratory environment, and/or even the analyst.
2 t giving further specific information to the analyst.
3  assessment of the spectra by an experienced analyst.
4 been determined to be 40 samples per day per analyst.
5 ns, yielding a wide array of choices for the analyst.
6 ed to the key objectives and concerns of the analyst.
7 d with a potential gain in the safety of the analyst.
8 say, no additional work is required from the analyst.
9 erpretation of the IMS results to an unaware analyst.
10 ew challenges have been created for the data-analyst.
11 , data acquisition, and interaction with the analyst.
12 were coded and interpreted by an independent analyst.
13 d processing without the intervention of the analyst.
14  the video and other data streams by trained analysts.
15 on was used to analyze data with staff as co-analysts.
16 lyses are expensive and require well-trained analysts.
17 ackage accessible to both biologist and data analysts.
18 neChip data has been a recent focus for data analysts.
19  unreported, and hence can be missed by meta-analysts.
20 esearch to the everyday practice of bioimage analysts.
21  continue to interest American health policy analysts.
22 als (20.8%) analyzed exclusively by industry analysts.
23 ay include people who are not programmers or analysts.
24  non-disclosive results are ever returned to analysts.
25 rses, surgical technicians, and supply chain analysts.
26 rovide practical recommendations for applied analysts.
27 d transformation for software developers and analysts.
28 the binary mediator model's specification by analysts.
29  first steps for aspiring computational data analysts.
30 cted without much supervision of experienced analysts.
31 s were contoured manually by two independent analysts.
32 nrandomized studies to involve only industry analysts (107 trials [22.9%] vs 18 trials [13.6%]; P = .
33                                 CellProfiler Analyst 2.0, completely rewritten in Python, builds on t
34 h combines both models propitiously to offer analysts 2 chances for obtaining a valid causal estimate
35  Hay Island estimated 2188 seals compared to analysts' 2311.
36 sota, and Arizona), a systems and procedures analyst, a quality office analyst, and two physician mem
37 ocess flowchart of the IRB review process, 2 analysts abstracted temporal data from the records perta
38          The regulatory authorities and food analysts adopt highly sensitive and selective analytical
39                                         Most analysts agree that a figure of $100,000 is reasonable.
40 several challenges for academia and industry analysts alike.
41                                 CellProfiler Analyst allows the exploration and visualization of imag
42  individual replications, the large crowd of analysts allows for a more systematic investigation of u
43 es, extending the capabilities of the pollen analyst and improving the taxonomic resolution of the pa
44 ng session reduced confirmation bias in both analyst and student groups.
45 rison between the V3'' obtained by the human analyst and that obtained by the automated OSA analysis
46 alysis into a collaborative work between the analyst and the computational environment, which shorten
47 , with 280 trials (46.6%) involving industry analysts and 125 trials (20.8%) analyzed exclusively by
48 ar sounds, so it is difficult for both human analysts and classification algorithms to tell them apar
49                                              Analysts and decision makers frequently want estimates o
50 portance of collaborative processes, whereby analysts and decision-makers educate one another about t
51 he proposed approach, which is of benefit to analysts and designers of complex systems and networks.
52 treams of data is a challenging task for the analysts and experts, and entails the need for newer met
53 nation was better for senior (versus junior) analysts and for easier (versus harder) forecasts.
54                                          The analysts and investigators with access to the raw data w
55 alysis strategy chosen is to employ multiple analysts and leave each of them free to follow their own
56                 Combining the usage of human analysts and machine learning algorithms can accomplish
57        The model and analysis provide energy analysts and policy makers with a better understanding o
58 mmunomagnetic separation (IMS) to enrich the analysts and resist complex matrix effects.
59  balance between throughput (270 samples/day/analyst) and sensitivity/accuracy/precision of AMS measu
60 e industry involvement (sponsor, author, and analyst) and transparency (protocols, statistical analys
61 action conditions, added flexibility for the analyst, and a marked increase in the achievable sample
62 e chemical nature present a challenge to the analyst, and as a result, several analytical techniques
63 sensitivity performance metric across batch, analyst, and instrument; enabling chemists with discreti
64  overview of the day-to-day activities of an analyst, and thoughts on how to prepare to look for a jo
65 ems and procedures analyst, a quality office analyst, and two physician members to address the identi
66 ethods require specialized software, skilled analysts, and advanced image processing.
67 are and mental health care providers, policy analysts, and advocates.
68 , whereby basic scientists, clinicians, data analysts, and epidemiologists work together to understan
69 adiologists, baggage screeners, intelligence analysts, and gamblers.
70 ss spectrometry (IMS) across multiple sites, analysts, and instruments.
71 teractions between physicians and investment analysts, and outline issues that all individuals involv
72    All investigators, laboratory staff, data analysts, and participants were masked to treatment assi
73       Data were independently extracted by 2 analysts, and pooled incidence rates of VTE, DVT, and pu
74 and, coordinating secure access for multiple analysts, and sharing validated tools and results.
75 rosols represents a significant challenge to analysts, and studies are frequently limited to determin
76 ders, investigators, outcome assessors, data analysts, and the independent data safety monitoring boa
77 nse system and investigators, patients, data analysts, and the trial sponsor were masked to treatment
78 cing annotations that typically cover 89% of analyst-annotated contours, and producing an expected 1.
79  subset of the publicly available DCLDE 2011 analyst-annotated dolphin whistle dataset (7211 training
80 we discuss how broader adoption of the multi-analyst approach has the potential to strengthen the rob
81                                   Investment analysts are a growing presence at the Annual Meeting of
82     While alternative approaches exist, most analysts are not familiar with them.
83 hat have been entered by JCVI Bioinformatics Analysts as well as 7458 automatically imported names.
84  was mainly due to underconfidence such that analysts assigned more uncertainty than needed given the
85 al method among laboratories but not between analysts at individual laboratories, suggesting consiste
86 manual literature curation over the years by analysts at the J.
87 eeded to confirm the predictions or send the analysts back to the drawing board to devise new ones.
88 ication of these procedures demands that the analyst be technically expert.
89 This is particularly challenging for a human analyst because large quantities of less than relevant d
90 asets presents new opportunities to big data analysts, because the knowledge that can be acquired fro
91 ral retinal vasculature measured by a masked analyst between treated and control eyes.
92                                 CellProfiler Analyst binaries for Windows and MacOS are freely availa
93                        We did a multicentre, analyst-blinded, randomised controlled superiority trial
94 embraced by physicians, patients, and policy analysts but have since lost much of their luster.
95                                     The data analyst can easily validate every step of the processing
96 from the solvent combination's appendix, the analyst can identify the proposed extraction solvents' c
97  quantification was 0.07 amol, and a skilled analyst can prepare as many as 270 AMS targets per day.
98                                          The analyst can thus map partitioning property estimates ont
99                                          The analyst can use whole-genome summary statistics to estim
100 arizes hypothesis test results in a way that analysts can easily understand and investigate; (iii) en
101      As this network reconfigures over time, analysts can track experienced inequality along three cr
102                                       Expert analysts characterized intraoperative distractions, erro
103 ted laboriously, with human transcribers and analysts coding and taking measurements from small recor
104  clinicians, laboratory scientists, and data analysts come together to plan, execute, and publish the
105                             Qualitative data analysts conducted content analysis of the open-ended re
106  that only the weights are recomputed as the analyst considers different candidate models.
107                                        Human analysts counted and classified individual seals in imag
108 d, the model estimated 894 seals compared to analyst counts of 913, and at Hay Island estimated 2188
109 , and geospatial data from the Esri Business Analyst database (Esri, Inc., Redlands, California) were
110 ughput AMS analysis (270 targets per skilled analyst/day) along with accurate and precise F m values.
111  chemically realistic picture of what a SERS analyst deals with on a daily basis.
112 he cell type landscape; this spares precious analyst effort.
113 n, minimizing user intervention and limiting analyst exposure to pathogens.
114  greater coordination among ENM quantitative analysts, exposure modelers, and ecotoxicologists, acros
115                                              Analysts face the challenge of knowing where to set thes
116 ost-utility analyses, in addition to whether analysts followed recommended protocols for performance
117 mparing lipid angle measurements between two analysts following editing of our automated software, we
118 ume need not be precise or even known to the analyst for accurate spectroscopy measurements.
119 ent was observed between and within CT image analysts for the presence (kappa > 0.90, all) and amount
120 e collaboration of over 8,000 scientists and analysts from more than 150 countries.
121                                          The analysts from the University of California who conducted
122                                 During 2007, analysts from up to 6 laboratories compared methods, mad
123                                Consequently, analysts generally assume that expanding coverage will i
124    We used our Regional Healthcare Ecosystem Analyst-generated agent-based model of adult inpatient h
125 s test, as judged by the minimal errors that analysts had in preparing data inputs and the successful
126 his sample represents the knowledge that the analyst has gained from the data about the unknown true
127                                     However, analysts have cautioned that it can come with increased
128 used in the analysis of microbiome data, and analysts have many options to choose from.
129                                       Policy analysts have proposed expanding the supply and scope of
130 or 1985-1999] and the Health Care Investment Analysts [HCIA] hospital discharge database [data availa
131 ith precision close to manual picks by human analysts; however, its high efficiency and higher sensit
132         After adjusting for speckle-tracking analyst, image quality, study site, age, sex, smoking st
133 es exchangeable if they are presented to the analyst in a random order.
134 n, but few tools are available to assist the analyst in visualizing the entire raw data set and as a
135       We provide analysis code to aid future analysts in implementing this method.
136 ce the transparency of study methods, assist analysts in providing complete information, and facilita
137 ature shows how these nanocavities can serve analysts in sample preparation, sensitivity and selectiv
138 hand-held XRF spectrometers used by multiple analysts in six separate laboratories across the United
139 sensor devices, according to Global Industry Analysts, Inc., is expected to reach $12 billion by 2015
140                                          Two analysts independently screened articles using a priori
141                                          Two analysts independently screened articles using predeterm
142 ame similarities between CEOs and securities analysts induce favoritism and lead to more accurate ear
143  inception to the year 2000 by 2 independent analysts initially working separately and then comparing
144 ng analyte carry-over effects while avoiding analyst intervention.
145                                      Protein Analyst is a flexible tool for the analysis of protein s
146                                 CellProfiler Analyst is a free, open-source software package designed
147   Identifier mapping (IDM) is needed when an analyst is combining two high-throughput (HT) measuremen
148                                     Proteome Analyst is the best individual subcellular localization
149                                          The analyst is therefore required to perform prioritization
150 yses, but specific guidance for genomic data analysts is still lacking.
151 f microdroplets, which promises to offer the analyst many potential advantages over existing technolo
152                             Furthermore, the analyst may wish to use specific conditions that preserv
153                     Potential scenarios that analysts may encounter during the development of identif
154                                              Analysts may use the hierarchical clusters to improve th
155 romatograms (XICs), which facilitates rapid, analyst-mediated interpretation of GC- and LC/MS(n) data
156 take24-Australia; mobile Food Record-Trained Analyst (mFR-TA); or Image-Assisted Interviewer-Administ
157                                              Analysts must become adept at application of appropriate
158                   These results suggest that analysts must carefully consider characteristics of sequ
159       Whereas time and space are continuous, analysts must select levels of aggregation for both leng
160                                              Analysts need a rigorous method for evaluating and compa
161 dance is strategic for public policy because analysts need to be: (1) realistic when setting prioriti
162 , these data structures may be unfamiliar to analysts new to microbiome data or R and do not allow fo
163 ves immediate graphical feedback to the data analyst on parameter settings and processing results, as
164 esults were comparable to those for a second analyst on the same data.
165               Here, we describe CellProfiler Analyst, open-source software for the interactive explor
166     It is of great interest for a biomedical analyst or an investigator to correctly model the CD4 ce
167 ws that before trading began for these CTPs, analysts overestimated the value of allowances in a patt
168 han the previous STA/LTA picker (relative to analyst picks).
169 ted World War II Allied military operations; analysts pored over stereoscopic photographs, becoming e
170 bility, day-to-day precision, and analyst-to-analyst precision were superior.
171                       However, some industry analysts project an Irani oil export decline.
172 g programs: ELSPred, LOCtree, PLOC, Proteome Analyst, PSORT, PSORT II, SubLoc and WoLF PSORT.
173 upole time-of-flight mass spectrometer using Analyst QS software.
174 lyst to pass commands to each server and the analyst receives results that do not disclose the indivi
175  are rarely a complete substitute for expert analyst review.
176 nd refine picks and improve the event before analyst review.
177                                      Trained analysts reviewed the recordings and coded safety threat
178      Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model and detailed Orange Coun
179      Using our Regional Healthcare Ecosystem Analyst (RHEA) simulation model, we found that the 32-mo
180 s sensing could serve as a valuable tool for analysts routinely employing HPLC cleanup methods, offer
181 uires many toxic chemicals and depends on an analyst's experience in detecting endpoints.
182                           An equity research analyst's job is to determine whether the price of a sto
183    Rather than a single exact algorithm, the analyst's judgment on a number of aspects is required in
184 oint where this method should be part of any analyst's toolkit.
185 evices can facilitate these steps and reduce analyst/sample contact, they remain prototypic and expen
186 ion of raw data directly in the hands of the analyst-saving great quantities of human time without lo
187                   This algorithm assimilates analyst-selected MS(n) ion fragmentation pathways into o
188             These results suggest that BRFSS analysts should consider accounting for interviewer effe
189                                              Analysts should examine the missing data pattern and try
190                                              Analysts should routinely consider flexible modeling of
191              This paper investigates whether analysts should use both direct and indirect estimates f
192  estimating the crude incidence of outcomes, analysts should use the cumulative incidence function, r
193 the Baidu index platform, a Chinese big data analyst similar to GFT.
194      Using our Regional Healthcare Ecosystem Analyst simulation model of all health-care facilities i
195 flow using our Regional Healthcare Ecosystem Analyst software platform.
196 y use of individualised RDS weights with RDS Analyst software.
197  of clinicians, informatics specialists, and analysts spent 6 weeks assessing users and optimizing al
198                                    Since the analyst studied here are detectable by UV detection, a c
199                                However, many-analyst studies are also resource-intensive, and there a
200 ance for conducting and reporting such multi-analyst studies, and we discuss how broader adoption of
201 s analysis throughput and removes analyst-to-analyst subjectivity, but selecting an appropriate thres
202 cate measurements from each sample to remove analyst subjectivity.
203                  However, the claims of some analysts that there is an inevitable decline in the stat
204 itation rates and the prior knowledge of the analyst, this method presents a thorough and nonsubjecti
205 tionally, the approach significantly reduced analyst time requirements and increased reliability and
206 s flexible and customizable by users, saving analysts' time in generating individual report-ready spe
207 irichlet-multinomial distribution allows the analyst to calculate power and sample sizes for experime
208 ch shortens the analysis time and allows the analyst to explore results efficiently.
209                       This device allows the analyst to focus on modeling and model comparisons.
210  feature-specific errors, and also allow the analyst to identify the experimentally introduced dye bi
211 of input or independent variables allows the analyst to measure associations between the two so that
212                       The platform allows an analyst to pass commands to each server and the analyst
213                    These metrics can help an analyst to place an appropriate degree of trust in the r
214         A model is proposed which allows the analyst to predict the theoretically attainable SE (SE(T
215 ses the statistical power, thus enabling the analyst to rule out a potentially much larger number of
216 dels of "tagged" social processes allows the analyst to show how democratic states predicate their be
217  implement, more robust, and exposure of the analyst to the sample is reduced by a novel DESI interfa
218  identification by LC/MS analyses has pushed analysts to adopt experimental protocols and software fo
219 er time, and only selected procedures enable analysts to assess the sensitivity of their inferences t
220 rics and visualization techniques that allow analysts to compare clusterings or to judge cluster qual
221                         This approach allows analysts to conduct a comprehensive sensitivity analysis
222 y has remained a challenging undertaking for analysts to date due to the high complexity of this matr
223 ffects, and we provide example code enabling analysts to do so.
224 there is no comprehensive method that allows analysts to evaluate, compare, and refine cluster assign
225                       Furthermore, we enable analysts to explore clustering results in context of oth
226 the NIST tandem mass spectral library, allow analysts to explore most of the chemical space accessibl
227 evised extraction-analysis system allows the analysts to make an evidence-based decision on the extra
228 recommendations for data producers and urban analysts to manage the uneven coverage of OSM data, as w
229 omparisons of clustering results and enables analysts to manually curate and refine cluster assignmen
230     Among other things, the approach permits analysts to model (i.e., conceptualize) system dynamics,
231  analysis capabilities should encourage data analysts to perform design-based analyses whenever possi
232 ixel intensity evaluation approach, allowing analysts to place two seed-points to triangulate the loc
233 programming framework enables developers and analysts to quickly and easily write efficient and robus
234 analyses, meaning the ability of independent analysts to recreate the results claimed by the original
235 L analysis less popular and sometimes forces analysts to restrict their attention to just a small sub
236 al properties of small molecules, obligating analysts to seek multiplatform and multimethod approache
237 plant productivity and phenology would allow analysts to select a set of analysis units at the scale
238 lp clinicians, scientists, and health-policy analysts to select the most up-to-date medical literatur
239 rize 7 exceptions to this rule and encourage analysts to take a more critical and nuanced approach to
240 ssignments) and principal investigators/data analysts (to group assignment).
241 the experimenter, and known precisely by the analyst, to characterize the temporal properties of the
242 ation guide for scientists, as well business analysts, to help them navigate the jungle of different
243     Repeatability, day-to-day precision, and analyst-to-analyst precision were superior.
244 tly improves analysis throughput and removes analyst-to-analyst subjectivity, but selecting an approp
245  are complex structures that still challenge analysts today because of their different levels of isom
246          In these studies, a large number of analysts try to answer the same research question using
247 ld-flow fractionation (FFF), the experienced analyst understands the importance of incorporating addi
248                Hundreds of organizations and analysts use energy projections, such as those contained
249  Nutrition Evidence Systematic Review (NESR) analysts used the Nutrition Evidence Library Risk of Bia
250 s developed to simulate the approach a human analyst uses when categorizing click types: Clusters of
251 remainder requiring visual assessment by the analyst using a parallel workflow.
252 ocessing of MSI-CE-MS data by an experienced analyst using vendor software, while also achieving exce
253 ributed to three sites for analysis by three analysts using a predefined protocol to standardize the
254 gated oligos to identify immobilized protein analysts using real-time qPCR.
255       This was determined by two independent analysts using the 17 Harvard criteria and subdividing t
256                         In practical use, an analyst utilizing the presented framework can infer addi
257                                          The analyst was blinded to patient groupings.
258               Outcome assessors and the data analyst were blinded to group allocation.
259            Outcomes assessors and study data analyst were masked to condition assignment.
260                                   Laboratory analysts were blinded to assignment.
261                                              Analysts were blinded to caregiver race during coding.
262                                         Data analysts were blinded to genetic test results.
263                   Outcome assessors and data analysts were blinded to group allocation.
264                            Investigators and analysts were blinded to group assignment.
265 team members, outcome adjudicators, and data analysts were blinded to interventions.
266                                              Analysts were blinded to study group.
267           Participants, field staff and data analysts were blinded to the group assignment until data
268 ing the vaccine, outcome assessors, and data analysts were blinded to the intervention allocation.
269            Patients, investigators, and data analysts were blinded to treatment assignment.
270 articipants, data collection staff, and data analysts were blinded to treatment group.
271            However, lab technicians and data analysts were blinded to treatment status.
272 Patients, study staff, and specimen and data analysts were masked to assignment.
273 ts, investigators, data collectors, and data analysts were masked to randomization.
274 l staff performing the assessments, and data analysts were masked to treatment allocation.
275 dy centre staff, sponsor personnel, and data analysts were masked to treatment allocation.
276 sonnel, patients, the study funder, and data analysts were masked to treatment allocation.
277               Patients, clinicians, and data analysts were masked to treatment assignment.
278    All patients, clinical investigators, and analysts were masked to treatment assignment.
279             Participants, investigators, and analysts were masked to treatment assignment.
280 nt allocated, but the chief investigator and analysts were masked.
281 008, participants, data collectors, and data analysts were not masked to allocation.
282               Patients, clinicians, and data analysts were not masked to treatment allocation.
283            Patients, investigators, and data analysts were not masked to treatment assignment.
284 g the intervention were not masked, but data analysts were.
285 in study assessments, participants, and data analysts, were masked to treatment allocation.
286 th reporting requirements will be useful for analysts when planning studies.
287 s it suitable for bioinformatics expert data analysts who are experienced with relational database ma
288 eloped in a conventional manner, that is, by analysts who rely on their knowledge and experience to m
289 ngly, while the results confirm that Chinese analysts who share surnames with company executives exhi
290                                 Normally, an analyst will collect mass spectra from the sample and a
291 reements, which raises barriers to entry for analysts wishing to use the data, increases the expense
292 n addition, our proposed method provides the analyst with new insights on the data as it is able to i
293                        These systems provide analysts with a new dimension of information, accurate m
294 reement of fibrous cap thickness between two analysts with Bland-Altman analysis (4.2 +/- 14.6 um; me
295           These views simultaneously provide analysts with signal-level detail and encounter-level co
296 ults of this study showed that, across three analysts with six replicates each, both quantitative IMS
297 es for all samples, in the hands of multiple analysts, with a variety of supplies and instruments.
298            These results are informative for analysts working on large-scale tissue atlases, using at
299         Both pipelines have helped to reduce analyst workload and streamline event processing.
300                                  Some policy analysts worry that reductions in readmissions are being

 
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