ライフサイエンスコーパス: pitfall

1 we suggest methods to diagnose and avoid the pitfall.

2 vices, but this application suffers from two pitfalls.

3 ysiologic and pathologic uptake patterns and pitfalls.

4 ent EMPD as well as its potential diagnostic pitfalls.

5 has to be optimized to avoid interpretation pitfalls.

6 mance, strengths, limitations, and potential pitfalls.

7 studies, and helps avoid common methodologic pitfalls.

8 epresenting a potential source of diagnostic pitfalls.

9 perception of speech to versions of the same pitfalls.

10 erwise, they could easily fall into analysis pitfalls.

11 future connectome analyses for avoiding such pitfalls.

12 e studies all fall prey to only a handful of pitfalls.

13 coimmunoprecipitation, a technique with some pitfalls.

14 best practices and precautions to help avoid pitfalls.

15 e in part conflicting, indicating analytical pitfalls.

16 le associated anomalies and avoid diagnostic pitfalls.

17 lth effects, can help reduce these potential pitfalls.

18 er, making their interpretation fraught with pitfalls.

19 ed pKILLIN, which overcomes all of the above pitfalls.

20 heir range of application, peculiarities and pitfalls.

21 ach to interpretation, imaging findings, and pitfalls.

22 MLMA methods are still subject to potential pitfalls.

23 developments proposed to address the current pitfalls.

24 y methodological solutions to mitigate these pitfalls.

25 this Perspective discusses their assets and pitfalls.

26 standing of AF but also the shortcomings and pitfalls.

27 esponding morphologic imaging and known PSMA pitfalls.

28 This has two pitfalls.

29 ery is a complex process with many potential pitfalls.

30 nalyses, while cautioning against analytical pitfalls.

31 re reviewed along with their limitations and pitfalls.

32 st of neuroimaging tools and avoid potential pitfalls.

33 atrophy were reviewed to identify diagnostic pitfalls.

34 We encountered many pitfalls along the way, largely due to the use of deterg

35 nizing tRNA modification as both a potential pitfall and avenue of directed alteration will be import

36 Here, we have addressed this pitfall and devised a universal strategy for rapid NIPD

37 hose that were benign, on the basis of known pitfalls and ancillary information from CT.

38 technology, attempt to point out some of the pitfalls and benefits of the different systems that can

39 hout radiology, but it also carries inherent pitfalls and biases.

40 This review identifies common pitfalls and challenges and provides guidelines on perfo

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 The review also delineates methodological pitfalls and challenges.

45 hyretin amyloidosis and highlight diagnostic pitfalls and clinical pearls for identifying patients wi

46 alert the "gene expression community" to the pitfalls and improved practice of this fundamental techn

47 ted to a benign origin on the basis of known pitfalls and information from CT.

48 cher is presented with a series of potential pitfalls and is blind to nearly all of them.

49 l dicot and monocot genomes, we outline some pitfalls and recommendations regarding methods to estima

50 histicated reader training emphasizing known pitfalls and reporting within the clinical context.

51 SPECT should be aware of its limitations and pitfalls and should order scans when there is diagnostic

52 ant scientists need to be aware of potential pitfalls and understand the nature and impact of specifi

53 our guidelines, researchers will avoid many pitfalls and unleash the power of computational modeling

54 ceptual learning that bypasses the authors' "pitfalls" and in which knowledge, not repeated experienc

55 ision points, 23 critical communications, 43 pitfalls, and 38 strategies.

56 We discuss the specific strengths, pitfalls, and best practices for each common analytical

57 mical biology with practical considerations, pitfalls, and best practices to enable smooth entry into

58 detection of infection, discusses potential pitfalls, and concludes with suggestions for future rese

59 ions under denaturing conditions has several pitfalls, and here, we provide a simple quantitative met

60 g ADA-SCID, SCID-X1, CGD and WAS, review the pitfalls, and outline the recent advancements which are

61 th observational data sets, highlight common pitfalls, and propose some best practices for researcher

62 amples of expected results, describes common pitfalls, and relies only on our freely available, open-

63 used with the new cameras, potential imaging pitfalls, and the latest data providing large-scale vali

64 ne of Firestone & Scholl's (F&S's) potential pitfalls apply to our work on memory colours.

65 re successfully scaled up, and that possible pitfalls are avoided.

66 ated anatomy, primary variants, and scanning pitfalls are described.

67 The most common pitfalls are discussed, and revised structures are sugge

68 Furthermore, methodological challenges and pitfalls are highlighted and key areas requiring additio

69 Common misconceptions and methodological pitfalls are highlighted.

70 Potential coaching pitfalls are identified that could interfere with each o

71 Moreover, these pitfalls are perfectly general, with each applying to do

72 a basic imaging modality, however diagnostic pitfalls are still possible.

73 on step, accommodating for many experimental pitfalls as well as providing a critical examination of

74 es of the pleiotropy concept and explain the pitfalls associated with applying empirical data to them

75 ure methods and identifying the benefits and pitfalls associated with each one.

76 ique merits of each framework as well as the pitfalls associated with exclusive focus of ligand disco

77 zation requires an understanding of the many pitfalls associated with its estimation and interpretati

78 ston, IL, discusses some of the problems and pitfalls associated with large-scale laboratory consolid

79 omic screening while outlining protocols and pitfalls associated with screen implementation.

80 to our understanding of the limitations and pitfalls associated with TgAb assay methods, the associa

81 ty for typical applications and to highlight pitfalls associated with the different techniques.

82 We also describe tips and pitfalls associated with the use of the PP-LFER approach

83 However, current models have pitfalls associated with their strong assumptions.

84 They also identify pitfalls associated with using ChR2 to study synapses an

85 llenges, many possible pathways, and various pitfalls--but is also feasible and achievable.

86 ecific effect, and show that none of the six pitfalls can account for the results.

87 s of many biological assemblies, but several pitfalls can trap the unwary.

88 from drugs currently being tested, and which pitfalls can we avoid in our search for a therapeutic fo

89 Our results revealed pitfalls caused by false positive and lineage-differenti

90 rnizes the classical approach while avoiding pitfalls common to state-of-the-art methods.

91 in CMT disease modelling, the breakthroughs, pitfalls, current challenges for scientists and key cons

92 Ignorance of these pitfalls directly affects the quality of the imaging rea

93 Recognition of pitfall during the procedure is feasible and necessitate

94 Herein, we review the common pitfalls encountered in metabolomics and provide concret

95 We will explore the advantages and pitfalls encountered through the use of biomarkers in cl

96 e and will discuss some of the successes and pitfalls encountered.

97 lian EVs is raising concerns about potential pitfalls faced by all EV researchers that will need to b

98 aceae), a deceptive South African plant with pitfall flowers, mimics attacked honeybees.

99 We also discuss best practices and potential pitfalls for directly integrating the collection, analys

100 terns - describing good practices and common pitfalls for each step.

101 rithms, highlight their potential as well as pitfalls for experimentalists, and provide a glimpse int

102 earrangement offering both opportunities and pitfalls for identifying rearrangement synapomorphies in

103 nalyzing nucleic acid experiments that avoid pitfalls from oversimplified or incorrect models.

104 te of the art, pitfalls, solutions for those pitfalls, future perspectives, and challenges in the qui

105 There are potential pitfalls, however, when representing this complex system

106 vided in which we also acknowledge potential pitfalls-hyperstimulation of finely balanced receptor-li

107 ile also prescribing a solution for a common pitfall in studies of reward-based decision making.

108 findings reported herein reveal a potential pitfall in the assignment of structures to lipids extrac

109 an uncorrected structure can be a potential pitfall in the clinical application of PRS.

110 xamination of young infant eyes, a potential pitfall in the diagnosis of retinal hemorrhages.

111 Postbiopsy change is a known pitfall in the interpretation of T2-weighted images.

112 luting stent implantation, we avoid a common pitfall in traditional meta-analysis and create a networ

113 The possible pitfalls in applying this diagnostic tool to PCET and cy

114 nd dysfunction in neurodegenerative process, pitfalls in BBB measurements, and how targeting the BBB

115 (1) highlight shortcomings of and potential pitfalls in BiFC assays, (2) provide guidelines for avoi

116 siderable utility in gene manipulation, have pitfalls in certain scenarios, such as unsatisfactory re

117 Here, we demonstrate common pitfalls in comparing relative abundance across samples

118 strate the potential utility and some of the pitfalls in contemporary miRNA research.

119 iltrates and late presentation are potential pitfalls in correctly diagnosing this subtype of heredit

120 We consider potential pitfalls in data interpretation and place particular emp

121 The pitfalls in designing combination studies derive from re

122 We discuss the possible pitfalls in determining the affinity of weak interaction

123 In this update we will discuss the pitfalls in diagnosing CIDP and the value of newly intro

124 Our report highlights potential pitfalls in diagnosing MHC-II deficiency and emphasizes

125 course of dense deposit disease, discuss the pitfalls in diagnosis, examine differential diagnoses, a

126 the strategies, technologies, and potential pitfalls in finding novel causes of these diseases.

127 on structural variants of the hip joint and pitfalls in imaging of the hip joint are reviewed.

128 or mutational signature analyses and discuss pitfalls in interpretation.

129 l as the technical limitations and potential pitfalls in interpreting these studies.

130 l surveillance and discovery, strategies and pitfalls in linking discoveries to disease, and identify

131 cated imaging techniques, there are numerous pitfalls in liver imaging.

132 purpose of this review is to outline common pitfalls in performing systematic reviews of imaging res

133 We further explore possible pitfalls in phylogenomic reconstruction, including missi

134 We highlight notable successes and pitfalls in predicting the value of potential therapeuti

135 Because of pitfalls in routine diagnostic imaging, a high level of

136 Potential pitfalls in signal classification were addressed.

137 s to help biologists navigate through common pitfalls in SRM specimen preparation and optimization of

138 entify and understand clinically encountered pitfalls in the assessment of transmitral conduction blo

139 nce syntheses, we aim here to identify major pitfalls in the conduct and reporting of systematic revi

140 Here we discuss these pitfalls in the context of plant EV research, with a foc

141 graphy plays an important role in addressing pitfalls in the diagnosis of sleep-disordered breathing

142 Pitfalls in the imaging process can lead to inefficient

143 substantial stochastic variation, leading to pitfalls in the interpretation of data derived from mill

144 gestions to overcome several limitations and pitfalls in the interpretation of spectra of unknown oli

145 hlights current treatments, limitations, and pitfalls in the management of pancreatic cancer and disc

146 We also discuss potential pitfalls in the over-interpretation of these data, and h

147 To demonstrate pitfalls in translating trained predictors across indepe

148 On the other hand, there are many pitfalls in using post hoc determined endpoints.

149 rent data, models, methods and the potential pitfalls in using them will be considered here.

150 p-down effects actually are explained by the pitfall (in practice).

151 certain studies could be susceptible to the pitfall (in principle), but also how several alleged top

152 However, a current "pitfall" in quantitative LC-HRMS analysis is the lack of

153 Although simple, MSD analysis has several pitfalls, including difficulty in selecting between comp

154 udies of the mRNA-bound proteome and address pitfalls inherent in such investigations.

155 study has ever considered the compositional pitfalls inherent in such studies, which may lead to arb

156 by extracting the lessons provided by these pitfalls into a checklist that future work could use to

157 The pitfalls involve potential false-negative results due to

158 A pitfall is that the histologic pleomorphism often reflec

159 ebate in the past, our presentation of these pitfalls is empirically anchored: In each case, we show

160 ion of nonceliac gluten sensitivity, a major pitfall, is primarily related to the heterogeneous cause

161 n babesiosis vaccine discovery to avoid past pitfalls, learn new lessons, and provide a roadmap to gu

162 The methodological challenges and possible pitfalls, many of which are relevant more broadly to com

163 Awareness of these potential pitfalls may allow surgeons to better leverage this new

164 These methodological pitfalls need to be avoided if the opportunities provide

165 d is organized; but without addressing these pitfalls, no such empirical report will license such exc

166 tal pseudoprogression represents a potential pitfall of (18)F-FET PET and may mimic brain tumor.

167 The pitfall of all chemotherapeutics lies in drug resistance

168 chosen for treating extensive BCLM with the pitfall of dropout after the first stage.

169 will provide new strategies to overcome the pitfall of present day albumin detection methods as well

170 We have discovered a potential pitfall of the approach underpinning such methods when a

171 reness of CSC plasticity and the foreseeable pitfall of therapeutically targeting CSC base sorely on

172 ics such as model fairness, competing risks, pitfalls of "modifiable risk factors", measurement error

173 on, and thereby alleviates some of the usual pitfalls of asexual reproduction.

174 These factors include the pitfalls of case-control designs, confounders inherent i

175 eview discusses the technical advantages and pitfalls of cerebrospinal fluid mNGS in the context of p

176 Challenges and pitfalls of commercialization include reliance on findin

177 adaptationist approach; (b) the theoretical pitfalls of conflating proximate and ultimate causation;

178 s that explain the empirical performance and pitfalls of corpus-based quality score compression schem

179 present an overview of the possibilities and pitfalls of CT and MRI for PHV assessment based on a sys

180 ed from marketing to highlight the potential pitfalls of current roll-out strategies focused on selec

181 We describe caveats and pitfalls of de novo signature extraction and fitting app

182 e patterns with high accuracy while avoiding pitfalls of deltaSVM and ISM and being orders of magnitu

183 rch and highlight the potential problems and pitfalls of different definitions through case examples

184 The advantages and pitfalls of different types of meta-analyses are reviewe

185 mouse models and discuss the usefulness and pitfalls of each system.

186 In addition, specific pitfalls of evaluating change in meta-analysis studies a

187 To avoid pitfalls of existing models, we introduced hbace1 via kn

188 will help investigators proactively address pitfalls of experimental design and methods.

189 In this work we analyse pitfalls of fitting OM to experimental data and propose

190 lection and planning, and (d) the pearls and pitfalls of fluoroscopically guided injections.

191 ng; (b) molecular and genomic biomarkers and pitfalls of image interpretations for lung cancer precis

192 are fully aware of the utility and potential pitfalls of incorporating genetic test results into the

193 mproving patient outcomes with the potential pitfalls of increasing physician burnout due to poor imp

194 ite its recent discovery, and highlights the pitfalls of inferring polyploid origins from niche/range

195 ors do a valuable service by elucidating the pitfalls of inferring top-down effects, they overreach b

196 This finding highlights the potential pitfalls of interpreting loss of function in pathogenic

197 latory functional logic, and the predictable pitfalls of its hardwired behavioral responses (includin

198 millions more hoping to avoid the potential pitfalls of lifelong antiretroviral therapy and other HI

199 exploits useful knowledge while avoiding the pitfalls of misleading information.

200 we describe and quantify the advantages and pitfalls of MLMA methods as a function of study design a

201 article discusses the promise and potential pitfalls of modeling of dementia disorders based on soma

202 nd offer suggestions and highlight potential pitfalls of novel approaches.

203 mitigate genomic disease while avoiding the pitfalls of overdiagnosis.

204 istance based statistic d(f) that avoids the pitfalls of Patterson's D when applied to small genomic

205 l cortex under one framework that avoids the pitfalls of previous analyses and accounts for regressio

206 m synthetic and Boolean networks that avoids pitfalls of previously used methods.

207 utations, our findings demonstrate potential pitfalls of primarily utilizing a mass spectrometry-base

208 portant because they highlight the potential pitfalls of relying on computational methods alone for v

209 GMG share their opinions on the promises and pitfalls of renewed psychedelic research, with a focus o

210 We examined the promise and pitfalls of research on premotor symptoms of PD and deve

211 in detail, highlighting possible pearls and pitfalls of staging.

212 with the goal of exploring the potential and pitfalls of strategies that might be available in the ne

213 To address the pitfalls of the biosensor approach in quantitative terms

214 ing these mice should carefully consider the pitfalls of the Cre-Lox technique.

215 ion, we outline the history, properties, and pitfalls of the current human reference genome.

216 Possible approaches and potential pitfalls of the intervention are described.

217 es into context, we discuss the promises and pitfalls of the involved machine learning techniques.

218 We also discuss the advantages and pitfalls of the methodology used to identify and validat

219 In assessing the attractions and pitfalls of the proposal we should keep that element dis

220 The advantages, limitations, and pitfalls of the proposed course of action are then furth

221 N (CAN) vs. UAN and reviewed the merits and pitfalls of the two approaches.

222 We discuss the pitfalls of these approaches, as well as further avenues

223 xpertise in the applications, strengths, and pitfalls of these cardiovascular imaging techniques as t

224 We review here the respective advantages and pitfalls of these different approaches in birds, with sp

225 Despite the potential pitfalls of this approach, few historically based popula

226 ologists revealed the potential benefits and pitfalls of this correction method.

227 of obtained information, the advantages and pitfalls of this emerging technique will be highlighted.

228 ment, mechanisms of regeneration, as well as pitfalls of this novel technique.

229 Here, we discuss the advantages and possible pitfalls of this technology for meeting the needs of pla

230 However, pitfalls of traditional urodynamics include physical and

231 um of imaging features, grading, and imaging pitfalls of TVAI.

232 temporary rhetoric regards the prospects and pitfalls of using artificial intelligence techniques to

233 e examples showing the scope, advantages and pitfalls of using internal catalysis within different DC

234 dy also provides insight into the challenges/pitfalls of using large-scale phospho-proteomic data set

235 Here, we elucidate the pitfalls of using such regressions by studying artificia

236 We illustrate the advantages, and potential pitfalls, of the approach using a birth-death model with

237 reness of several implications and potential pitfalls, of which six are discussed in this paper.

238 Some of the potential fabrication pitfalls often encountered in MHP based tandem PVs are h

239 However, this approach has potential pitfalls: over conservativeness after Bonferroni correct

240 However, there are two pitfalls regarding "social bonds" as an explanation for

241 AIT faces pitfalls related to efficacy, security, duration, and pa

242 n, we discuss the potential difficulties and pitfalls related to intraoperative studies.

243 uals make better decisions and the potential pitfalls related to manipulation and privacy.

244 er, miRNA research has become beleaguered by pitfalls related to terminology and classification; proc

245 These cases highlight legal pitfalls related to the First Amendment (religious freed

246 etic vascular graft infection, but potential pitfalls related to tracer uptake in noninfected implant

247 important to be aware of the primary imaging pitfalls related to US technique (anisotropy) in the eva

248 We discuss critical points and pitfalls relating to optimization of nanodiscs for NMR s

249 However, many challenges and pitfalls remain in selecting optimal targets, interpreti

250 ption, pointing out possible methodological "pitfalls." Results generated in multiple labs are immune

251 ders with an update on the state of the art, pitfalls, solutions for those pitfalls, future perspecti

252 Common pitfalls such as photobleaching and cross-talk are addre

253 ions, and critically evaluate challenges and pitfalls such as the need for standardization.

254 However, most neuroimaging studies have pitfalls, such as a small number and poor clinical chara

255 etics, and environmental exposures, avoiding pitfalls, such as recall bias and confounding by ongoing

256 erated in multiple labs are immune to these "pitfalls," suggesting that perceptions of physical layou

257 s plant attracts bats by possessing modified pitfall taps that increase the reflectivity of echolocat

258 mparative biology approaches and discuss the pitfalls that (plant) researchers should avoid when emba

259 nt effort is to highlight key parameters and pitfalls that are often encountered in the literature.

260 We highlight pitfalls that can arise in model development, validation

261 In this viewpoint, we discuss the pitfalls that can arise with the use of convenience samp

262 mapping, with the aim of identifying common pitfalls that can negatively influence the collection of

263 Not only can the pitfalls that Firestone & Scholl (F&S) identify be gener

264 in the liver and highlight the experimental pitfalls that may cause misinterpretations and controver

265 lie ahead and discuss some of the potential pitfalls that might be encountered upon adopting a given

266 and measure quantum speedup and how to avoid pitfalls that might mask or fake such a speedup.

267 data prior to calculation and illustrate the pitfalls that need to be avoided.

268 plification and reference alignment bias are pitfalls that need to be considered when attempting to p

269 der seminatural conditions for two potential pitfalls that need to be considered when improving risk

270 als regime shifts, trade-offs, and potential pitfalls that one may face in governing these self-organ

271 Common pitfalls that recurred irrespective of RCT context indic

272 in experimental stroke as well as potential pitfalls this basic research has identified.

273 important to be familiar with the diagnostic pitfalls to avoid false positives.

274 rders, such as Parkinson's disease, and some pitfalls to avoid when applying its methods.

275 therapeutics, highlighting lessons learned, pitfalls to avoid, and keys to success.

276 on in published studies, there are important pitfalls to avoid.

277 col that addresses key steps to be taken and pitfalls to be avoided for the preparation of asymmetric

278 xpand upon the topic by discussing potential pitfalls to Big Data such as the lack of diversity in Bi

279 acologists, and describes the challenges and pitfalls to consider when relying on crystal structures

280 Yet, there are numerous limitations and pitfalls to their use, often driven by data scarcity.

281 for drugs, bypasses common drug development pitfalls to ultimately deliver therapies to patients fas

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 Lastly, to mitigate these pitfalls, we discuss priorities for guiding future resea

291 By dissecting common pitfalls, we suggest how to better mentor undergraduates

292 The main pitfalls were identified in study design, data acquisiti

293 plication with special emphasis on potential pitfalls when studying weakly-adsorbed material.

294 ionale for examining mediation, avoid common pitfalls when using the model, and conduct well-informed

295 icable to MIS and provide an overview of the pitfalls, which need to be overcome to make telementorin

296 acquisition parameter variations, and common pitfalls will also be covered.

297 age interpretation, and potential diagnostic pitfalls will be discussed.

298 Ultimately, such pitfalls will need to be overcome to provide a comprehen

299 We discuss pitfalls with finding these rare patients, including cha

300 highlights current progresses, advents, and pitfalls within the field and discusses future spectrosc