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1 e in part conflicting, indicating analytical pitfalls.
2 le associated anomalies and avoid diagnostic pitfalls.
3 lth effects, can help reduce these potential pitfalls.
4 er, making their interpretation fraught with pitfalls.
5 ed pKILLIN, which overcomes all of the above pitfalls.
6 heir range of application, peculiarities and pitfalls.
7 ach to interpretation, imaging findings, and pitfalls.
8  MLMA methods are still subject to potential pitfalls.
9 ent EMPD as well as its potential diagnostic pitfalls.
10 developments proposed to address the current pitfalls.
11 s limitations of AMT and point out potential pitfalls.
12 erimental strategies, RNA-seq is not without pitfalls.
13  there is widespread misunderstanding of its pitfalls.
14 specific assumptions and potential technical pitfalls.
15 n an attempt to identify the main diagnostic pitfalls.
16 ng codes to design pools that overcome these pitfalls.
17 eroclysis, its clinical indications, and its pitfalls.
18 e data sets is non-trivial and can have many pitfalls.
19 ent and operation, with discussion of common pitfalls.
20 stem cell biology, but also of its potential pitfalls.
21 such collaborations while avoiding potential pitfalls.
22 analysis that avoid this and other potential pitfalls.
23 fetal tissues present additional confounding pitfalls.
24  has to be optimized to avoid interpretation pitfalls.
25 mance, strengths, limitations, and potential pitfalls.
26 vices, but this application suffers from two pitfalls.
27 studies, and helps avoid common methodologic pitfalls.
28 ysiologic and pathologic uptake patterns and pitfalls.
29 epresenting a potential source of diagnostic pitfalls.
30 perception of speech to versions of the same pitfalls.
31 erwise, they could easily fall into analysis pitfalls.
32 future connectome analyses for avoiding such pitfalls.
33 e studies all fall prey to only a handful of pitfalls.
34 coimmunoprecipitation, a technique with some pitfalls.
35 d be instituted and which are the associated pitfalls?
36 nizing tRNA modification as both a potential pitfall and avenue of directed alteration will be import
37                 Here, we have addressed this pitfall and devised a universal strategy for rapid NIPD
38 technology, attempt to point out some of the pitfalls and benefits of the different systems that can
39                This review identifies common pitfalls and challenges and provides guidelines on perfo
40      We relate the experimental designs, the pitfalls and challenges encountered, and the eventual su
41 esent an overview and illustrate some of the pitfalls and challenges of developing novel D3R-selectiv
42                   Here we critically discuss pitfalls and challenges of IG/TR NGS methodology and its
43              Section 3 explores a variety of pitfalls and challenges, spanning the evidential, the me
44 hyretin amyloidosis and highlight diagnostic pitfalls and clinical pearls for identifying patients wi
45 hnologies, but we also highlight some of the pitfalls and drawbacks with these methods.
46       Illustrative examples highlight common pitfalls and exemplary practices in screening for abuse
47 sis and therapy in cancer, including current pitfalls and future directions.
48                                     Clinical pitfalls and misconceptions about the course of disease
49 nd up-to-date view regarding the advantages, pitfalls and recent trends in a simpler tool-class level
50 l dicot and monocot genomes, we outline some pitfalls and recommendations regarding methods to estima
51 SPECT should be aware of its limitations and pitfalls and should order scans when there is diagnostic
52 e data with particular attention paid to the pitfalls and strengths of potential biomarkers.
53                       A description of assay pitfalls and troubleshooting is included.
54 ant scientists need to be aware of potential pitfalls and understand the nature and impact of specifi
55         Researchers should be aware of these pitfalls and wary of using FDR to compare experimental r
56 ceptual learning that bypasses the authors' "pitfalls" and in which knowledge, not repeated experienc
57                      The feasibility, value, pitfalls, and appropriate quality metrics in a "payment-
58           We discuss the specific strengths, pitfalls, and best practices for each common analytical
59 mical biology with practical considerations, pitfalls, and best practices to enable smooth entry into
60 fications to improve imaging and techniques, pitfalls, and clinical applications.
61  detection of infection, discusses potential pitfalls, and concludes with suggestions for future rese
62           In the present review, guidelines, pitfalls, and limitations are presented so that rigorous
63 g ADA-SCID, SCID-X1, CGD and WAS, review the pitfalls, and outline the recent advancements which are
64 th observational data sets, highlight common pitfalls, and propose some best practices for researcher
65                                The efficacy, pitfalls, and risks of the agents available for use at e
66 y clarifying the standard of care, potential pitfalls, and the evolving liability associated with thi
67 ne of Firestone & Scholl's (F&S's) potential pitfalls apply to our work on memory colours.
68 re successfully scaled up, and that possible pitfalls are avoided.
69 ated anatomy, primary variants, and scanning pitfalls are described.
70   Furthermore, methodological challenges and pitfalls are highlighted and key areas requiring additio
71     Common misconceptions and methodological pitfalls are highlighted.
72                           Potential coaching pitfalls are identified that could interfere with each o
73 al design and an awareness of some potential pitfalls are likely to maximise the chances of a success
74                              Moreover, these pitfalls are perfectly general, with each applying to do
75 a basic imaging modality, however diagnostic pitfalls are still possible.
76 on step, accommodating for many experimental pitfalls as well as providing a critical examination of
77 rticle focuses on the most common errors and pitfalls, as well as the do's and don'ts in drug combina
78 es of the pleiotropy concept and explain the pitfalls associated with applying empirical data to them
79 ure methods and identifying the benefits and pitfalls associated with each one.
80 ial invasion, overall stage, and presence of pitfalls associated with inaccurate assessment of myomet
81 zation requires an understanding of the many pitfalls associated with its estimation and interpretati
82 ston, IL, discusses some of the problems and pitfalls associated with large-scale laboratory consolid
83          Here I briefly review the potential pitfalls associated with RNAi, and then suggest experime
84  to our understanding of the limitations and pitfalls associated with TgAb assay methods, the associa
85 ty for typical applications and to highlight pitfalls associated with the different techniques.
86                                          The pitfalls associated with the nonrigorous treatment of BR
87                    We also describe tips and pitfalls associated with the use of the PP-LFER approach
88                 However, current models have pitfalls associated with their strong assumptions.
89                           They also identify pitfalls associated with using ChR2 to study synapses an
90 Lesion analysis can avoid the methodological pitfalls associated with using inner and overt speech in
91 llenges, many possible pathways, and various pitfalls--but is also feasible and achievable.
92                                    Avoid the pitfalls by taking pro-active steps to manage these risk
93 ecific effect, and show that none of the six pitfalls can account for the results.
94 use erroneous results, and address how these pitfalls can be avoided.
95 s of many biological assemblies, but several pitfalls can trap the unwary.
96 from drugs currently being tested, and which pitfalls can we avoid in our search for a therapeutic fo
97                         Our results revealed pitfalls caused by false positive and lineage-differenti
98                           Ignorance of these pitfalls directly affects the quality of the imaging rea
99                               Recognition of pitfall during the procedure is feasible and necessitate
100                 Herein, we review the common pitfalls encountered in metabolomics and provide concret
101           We will explore the advantages and pitfalls encountered through the use of biomarkers in cl
102 aceae), a deceptive South African plant with pitfall flowers, mimics attacked honeybees.
103 e we review such advantages, as well as some pitfalls, focusing on examples from biological imaging.
104  the black box nature of many tools can be a pitfall for researchers.
105 earrangement offering both opportunities and pitfalls for identifying rearrangement synapomorphies in
106 nalyzing nucleic acid experiments that avoid pitfalls from oversimplified or incorrect models.
107                          There are potential pitfalls, however, when representing this complex system
108 entify and understand the characteristics of pitfall, if any.
109 ile also prescribing a solution for a common pitfall in studies of reward-based decision making.
110 ion bias in performance estimation, a common pitfall in the application of machine learning algorithm
111  findings reported herein reveal a potential pitfall in the assignment of structures to lipids extrac
112 by the presence of liver iron is a potential pitfall in the determination of liver fat percentage at
113 xamination of young infant eyes, a potential pitfall in the diagnosis of retinal hemorrhages.
114                 Postbiopsy change is a known pitfall in the interpretation of T2-weighted images.
115                       A potential analytical pitfall in this framework is explained using a condition
116 luting stent implantation, we avoid a common pitfall in traditional meta-analysis and create a networ
117 n of gene array data presents many potential pitfalls in adult tissues.
118 nd dysfunction in neurodegenerative process, pitfalls in BBB measurements, and how targeting the BBB
119  (1) highlight shortcomings of and potential pitfalls in BiFC assays, (2) provide guidelines for avoi
120 siderable utility in gene manipulation, have pitfalls in certain scenarios, such as unsatisfactory re
121 strate the potential utility and some of the pitfalls in contemporary miRNA research.
122 iltrates and late presentation are potential pitfalls in correctly diagnosing this subtype of heredit
123                        We consider potential pitfalls in data interpretation and place particular emp
124 ollectively, our results highlight important pitfalls in data interpretation associated with detectin
125 ular virulence studies, early diagnosis, and pitfalls in designing clinical studies of mucormycosis a
126                      We discuss the possible pitfalls in determining the affinity of weak interaction
127              Our report highlights potential pitfalls in diagnosing MHC-II deficiency and emphasizes
128 course of dense deposit disease, discuss the pitfalls in diagnosis, examine differential diagnoses, a
129  the strategies, technologies, and potential pitfalls in finding novel causes of these diseases.
130                  Our data also point out the pitfalls in functional studies, particularly in cell cul
131  on structural variants of the hip joint and pitfalls in imaging of the hip joint are reviewed.
132 l as the technical limitations and potential pitfalls in interpreting these studies.
133 l surveillance and discovery, strategies and pitfalls in linking discoveries to disease, and identify
134 cated imaging techniques, there are numerous pitfalls in liver imaging.
135                                    There are pitfalls in overreliance on the EAE model, or on any ani
136  purpose of this review is to outline common pitfalls in performing systematic reviews of imaging res
137                  We further explore possible pitfalls in phylogenomic reconstruction, including missi
138                                              Pitfalls in quality control are highlighted that can inv
139                                   Because of pitfalls in routine diagnostic imaging, a high level of
140                                    Potential pitfalls in signal classification were addressed.
141 s to help biologists navigate through common pitfalls in SRM specimen preparation and optimization of
142 lts of a recent study also reveal unexpected pitfalls in the application of signal transduction-targe
143 entify and understand clinically encountered pitfalls in the assessment of transmitral conduction blo
144 old cardiac transplant recipient and discuss pitfalls in the clinical and laboratory diagnoses.
145 graphy plays an important role in addressing pitfalls in the diagnosis of sleep-disordered breathing
146                                              Pitfalls in the imaging process can lead to inefficient
147 substantial stochastic variation, leading to pitfalls in the interpretation of data derived from mill
148                    We also discuss potential pitfalls in the over-interpretation of these data, and h
149         The basic principles, practices, and pitfalls in the process of compound identification by se
150                                       Common pitfalls in the use of diagnostic tests for exocrine pan
151                               To demonstrate pitfalls in translating trained predictors across indepe
152 d focuses on some common, usually avoidable, pitfalls in trial design.
153                       Here, we highlight the pitfalls in using k(cat)/K(M) to compare the catalytic e
154            On the other hand, there are many pitfalls in using post hoc determined endpoints.
155 rent data, models, methods and the potential pitfalls in using them will be considered here.
156 p-down effects actually are explained by the pitfall (in practice).
157  certain studies could be susceptible to the pitfall (in principle), but also how several alleged top
158                          However, a current "pitfall" in quantitative LC-HRMS analysis is the lack of
159 udies of the mRNA-bound proteome and address pitfalls inherent in such investigations.
160  with all technology there are artifacts and pitfalls inherent in their use.
161  by extracting the lessons provided by these pitfalls into a checklist that future work could use to
162 tion software should take these benefits and pitfalls into account.
163 d, we describe methodological and conceptual pitfalls into which this work has sometimes fallen, whic
164           Operator recognized 42 of 61 (69%) pitfalls intraprocedurally.
165                                            A pitfall is that the histologic pleomorphism often reflec
166 ebate in the past, our presentation of these pitfalls is empirically anchored: In each case, we show
167 ion of nonceliac gluten sensitivity, a major pitfall, is primarily related to the heterogeneous cause
168   The methodological challenges and possible pitfalls, many of which are relevant more broadly to com
169                 Awareness of these potential pitfalls may allow surgeons to better leverage this new
170                         These methodological pitfalls need to be avoided if the opportunities provide
171 d is organized; but without addressing these pitfalls, no such empirical report will license such exc
172 tal pseudoprogression represents a potential pitfall of (18)F-FET PET and may mimic brain tumor.
173                                          The pitfall of all chemotherapeutics lies in drug resistance
174          This study highlights the potential pitfall of antibody-mediated clearance of repopulating c
175  chosen for treating extensive BCLM with the pitfall of dropout after the first stage.
176 ge metabolomic data sets avoiding the common pitfall of overfitting if variables are selected on a co
177  will provide new strategies to overcome the pitfall of present day albumin detection methods as well
178               We have discovered a potential pitfall of the approach underpinning such methods when a
179 reness of CSC plasticity and the foreseeable pitfall of therapeutically targeting CSC base sorely on
180 that govern its use, the value and potential pitfalls of alternatives to the conventional method, and
181 on, and thereby alleviates some of the usual pitfalls of asexual reproduction.
182       Our understanding of the strengths and pitfalls of assays to monitor -1 PRF have evolved since
183 input peak lists and circumventing potential pitfalls of assignment strategies in which results obtai
184 ce by pathologists in the interpretation and pitfalls of C4d stains are reviewed along with considera
185                               Challenges and pitfalls of commercialization include reliance on findin
186  adaptationist approach; (b) the theoretical pitfalls of conflating proximate and ultimate causation;
187 s that explain the empirical performance and pitfalls of corpus-based quality score compression schem
188 present an overview of the possibilities and pitfalls of CT and MRI for PHV assessment based on a sys
189 g, and an understanding of the strengths and pitfalls of different approaches can aid in their effect
190                           The advantages and pitfalls of different types of meta-analyses are reviewe
191 with the aims of revealing the strengths and pitfalls of each data set, and recommending a best appro
192 al trials, both in efforts to understand the pitfalls of earlier clinical trials, and also to focus o
193 ummarize current technique, indications, and pitfalls of electrophysiologic testing used in ophthalmo
194                        In addition, specific pitfalls of evaluating change in meta-analysis studies a
195 outline the clinically important aspects and pitfalls of evaluating LA size, and the methods for asse
196                                     To avoid pitfalls of existing models, we introduced hbace1 via kn
197  will help investigators proactively address pitfalls of experimental design and methods.
198 lection and planning, and (d) the pearls and pitfalls of fluoroscopically guided injections.
199         In this article, we outline possible pitfalls of GFP-based FRET and approaches that address t
200                  We also review the uses and pitfalls of idealized models of risk prediction.
201 ite its recent discovery, and highlights the pitfalls of inferring polyploid origins from niche/range
202 ors do a valuable service by elucidating the pitfalls of inferring top-down effects, they overreach b
203        This finding highlights the potential pitfalls of interpreting loss of function in pathogenic
204               We investigated the merits and pitfalls of isoprene measurement via its chemiluminescen
205                               Mindful of the pitfalls of many previous approximate treatments, we val
206 exploits useful knowledge while avoiding the pitfalls of misleading information.
207  we describe and quantify the advantages and pitfalls of MLMA methods as a function of study design a
208  article discusses the promise and potential pitfalls of modeling of dementia disorders based on soma
209 lity and resistance, discusses the potential pitfalls of monitoring platelet function, and demonstrat
210 nd offer suggestions and highlight potential pitfalls of novel approaches.
211                       We demonstrate several pitfalls of optimization alignment and illustrate how th
212 tic long-peptide vaccines avoids many of the pitfalls of previous vaccination trials through the pres
213 utations, our findings demonstrate potential pitfalls of primarily utilizing a mass spectrometry-base
214 GMG share their opinions on the promises and pitfalls of renewed psychedelic research, with a focus o
215                  We examined the promise and pitfalls of research on premotor symptoms of PD and deve
216 nces in classifiers and reveals some serious pitfalls of some data sets, making them less than ideal
217 ns differ about the potential advantages and pitfalls of specific and separate anesthesia consent for
218  in detail, highlighting possible pearls and pitfalls of staging.
219 with the goal of exploring the potential and pitfalls of strategies that might be available in the ne
220                     Our results point to the pitfalls of studying Ir WOCs using CAN.
221                               To address the pitfalls of the biosensor approach in quantitative terms
222 ing these mice should carefully consider the pitfalls of the Cre-Lox technique.
223 ap the full benefits and avoid the potential pitfalls of the emerging area of personalized genomics.
224            Possible approaches and potential pitfalls of the intervention are described.
225           We also discuss the advantages and pitfalls of the methodology used to identify and validat
226 t some of the major advantages and potential pitfalls of the most commonly used transient gene expres
227             In assessing the attractions and pitfalls of the proposal we should keep that element dis
228  N (CAN) vs. UAN and reviewed the merits and pitfalls of the two approaches.
229                    The various strengths and pitfalls of these animal models are illustrated by recen
230 xpertise in the applications, strengths, and pitfalls of these cardiovascular imaging techniques as t
231 We review here the respective advantages and pitfalls of these different approaches in birds, with sp
232                We also address the potential pitfalls of this application.
233                        Despite the potential pitfalls of this approach, few historically based popula
234          This article highlights some of the pitfalls of this approach.
235  of obtained information, the advantages and pitfalls of this emerging technique will be highlighted.
236                    The advantages as well as pitfalls of this flexibility are highlighted in inflamma
237 Here, we discuss the advantages and possible pitfalls of this technology for meeting the needs of pla
238                 These results underscore the pitfalls of using anesthetized preparations to study tem
239 dy also provides insight into the challenges/pitfalls of using large-scale phospho-proteomic data set
240 able evidence and the potential benefits and pitfalls of using multifocal intraocular lenses in glauc
241 ariations in flow demonstrates the potential pitfalls of using repeated velocity measurements over in
242                       Here, we elucidate the pitfalls of using such regressions by studying artificia
243 ve highlighted the potential proinflammatory pitfalls of vitamin A supplementation in active coeliac
244 he diagnosis of VWD as it avoids some of the pitfalls of VWF:RCo assays.
245 reness of several implications and potential pitfalls, of which six are discussed in this paper.
246                                    AIT faces pitfalls related to efficacy, security, duration, and pa
247 n, we discuss the potential difficulties and pitfalls related to intraoperative studies.
248 uals make better decisions and the potential pitfalls related to manipulation and privacy.
249 for thorough data interpretation, discussing pitfalls related to protein construct similarity and mis
250 er, miRNA research has become beleaguered by pitfalls related to terminology and classification; proc
251 etic vascular graft infection, but potential pitfalls related to tracer uptake in noninfected implant
252 important to be aware of the primary imaging pitfalls related to US technique (anisotropy) in the eva
253 s also important to be familiar with imaging pitfalls related to US technique, such as anisotropy.
254               We discuss critical points and pitfalls relating to optimization of nanodiscs for NMR s
255                 However, many challenges and pitfalls remain in selecting optimal targets, interpreti
256 ption, pointing out possible methodological "pitfalls." Results generated in multiple labs are immune
257 tilizing proangiogenic therapy, assesses the pitfalls seen within the current trials, and discusses t
258 ences are designed to surmount the potential pitfalls stemming from sampling bias with the consensus
259      However, most neuroimaging studies have pitfalls, such as a small number and poor clinical chara
260 etics, and environmental exposures, avoiding pitfalls, such as recall bias and confounding by ongoing
261 erated in multiple labs are immune to these "pitfalls," suggesting that perceptions of physical layou
262 s plant attracts bats by possessing modified pitfall taps that increase the reflectivity of echolocat
263 ncreasingly expensive and complex, with many pitfalls that can derail even promising drugs and device
264  mapping, with the aim of identifying common pitfalls that can negatively influence the collection of
265 tric lung posttransplant management, reveals pitfalls that exist, and introduces additional parameter
266                             Not only can the pitfalls that Firestone & Scholl (F&S) identify be gener
267  in the liver and highlight the experimental pitfalls that may cause misinterpretations and controver
268 analysis in this area, emphasizing important pitfalls that may compromise the validity of some studie
269  lie ahead and discuss some of the potential pitfalls that might be encountered upon adopting a given
270 and measure quantum speedup and how to avoid pitfalls that might mask or fake such a speedup.
271 plification and reference alignment bias are pitfalls that need to be considered when attempting to p
272 der seminatural conditions for two potential pitfalls that need to be considered when improving risk
273                                       Common pitfalls that recurred irrespective of RCT context indic
274 ng on the transplant required, the technical pitfalls, the outcomes, and mainly postoperative intensi
275  in experimental stroke as well as potential pitfalls this basic research has identified.
276 nt research trends that are overcoming these pitfalls through simple but important adjustments in foc
277                                          The pitfall to stabilising local interactions is to present
278 rders, such as Parkinson's disease, and some pitfalls to avoid when applying its methods.
279  therapeutics, highlighting lessons learned, pitfalls to avoid, and keys to success.
280                           However, there are pitfalls to the use of certain heuristics, the same ones
281      Yet, there are numerous limitations and pitfalls to their use, often driven by data scarcity.
282             We conducted vegetation surveys, pitfall trapping of invertebrates, visual surveys of liz
283  were compared with whole plant inspections, pitfall traps and suction sampler.
284  plant inspections in 2013 and abundance for pitfall traps in 2012, which were significantly higher i
285 growth, leaf censuses to study herbivory and pitfall traps to determine the effects of elevated CO(2)
286 14, 10, 17, 2, 15, and 3 (total=61) cases of pitfall types 1 through 6, respectively.
287 mentation designed to overcome some of these pitfalls using an empirical Bayes algorithm.
288                                              Pitfall was encountered in 55 of 271 (20%) procedures am
289    This article is aimed at highlighting the pitfalls we have encountered and hopefully to steer othe
290              There are a number of potential pitfalls when moving from a laboratory reaction to a man
291 ionale for examining mediation, avoid common pitfalls when using the model, and conduct well-informed
292 ial appendage pacing techniques encounters a pitfall, which can lead to erroneous clinical diagnosis
293 icable to MIS and provide an overview of the pitfalls, which need to be overcome to make telementorin
294 age interpretation, and potential diagnostic pitfalls will be discussed.
295                             Ultimately, such pitfalls will need to be overcome to provide a comprehen
296 que, as well as related anatomy and scanning pitfalls, will be reviewed.
297 sessment of myometrial invasion and standard pitfalls with DW MR imaging.
298                                      Several pitfalls with the use of these datasets have been identi
299 in interaction studies, their advantages and pitfalls, with examples drawn from inner ear studies.
300  highlights current progresses, advents, and pitfalls within the field and discusses future spectrosc

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