ライフサイエンスコーパス: pitfall

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