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1 bearing 1,3 (meta) substitution patterns are challenging to access using the Diels-Alder reaction (th
3 ical and logistical issues, however, make it challenging to accurately detect abnormal copy number ev
4 data with few biological replicates make it challenging to accurately detect those samples, and this
5 genetic and phenotypic variation, but remain challenging to accurately type and are hence poorly char
6 the lack of Pockels effect presents a major challenge to achieve high-speed modulation of Si(3)N(4).
7 ucer that systematically addresses all these challenges to achieve nearly three orders of magnitude i
9 anti-commuting reflection symmetries, it is challenging to achieve higher-order quantized multipole
12 s approach the sub-micrometer scale which is challenging to achieve with conventional micro-electrome
14 oirs in the central nervous system (CNS) are challenging to address due to low penetration of antiret
17 er other dominant chemical signatures posing challenges to an effective classification based on pleas
20 line the need for increased awareness of the challenge to animal and human health posed by excessive
25 udies of selection, highlight some important challenges to applying these methods to large data sets,
28 glucose, and analyses the potential and the challenges to be overcome in developing a PGM-based bios
30 ctures and telomeric protein binding, pose a challenge to BIR and increase the vulnerability of the D
32 st and high noise in particle images make it challenging to build 3D density maps at intermediate to
35 mber and diversity of sequenced species, the challenge to characterize genes with functional informat
37 2S]-cluster-bridged complexes that are often challenging to characterize because of the inherent inst
39 tion and reduction of N(2) have been a major challenge to chemists and the focus since now has mostly
40 d to limit community transmission, but it is challenging to choose the best interventions for a given
41 n-induced conformational changes pose unique challenges to classical molecular dynamics simulations,
42 partial/leaky splicing defects are the most challenging to classify because the minimal level of ful
43 ocognitive phenotypes continues to present a challenge to clinical geneticists and diagnostic laborat
45 Finally, we identify key open questions and challenges to comprehensively understanding the intersec
46 how that the Maximum Independent Set is more challenging to compute in sparser graphs than in denser
48 to proprietary systems that pose significant challenges to conducting accurate analyses of many clini
50 and epigenomic data, but it remains a major challenge to connect these elements to their target gene
51 any forms of learning and memory, it remains challenging to connect changes in synaptic strength at s
54 resents a considerable degree of mechanistic challenge to control the mode of substrate activation as
56 ruses are not yet approved, posing a serious challenge to current global efforts aimed at containing
57 We present a theoretical and an empirical challenge to Cushman's claim that rationalization is ada
66 dvent of quantum technology, it is a crucial challenge to design quantum neural networks for fully qu
68 etic and antigenic diversity, which makes it challenging to design a vaccine that provides broad prot
72 structures regulating organelle dynamics are challenging to detect with fluorescence microscopy, maki
73 he goal of this perspective is to review the challenges to detection of glaucoma progression with mac
76 clinical trial not only further stresses the challenge to develop an effective HIV vaccine but also e
77 e unmet chemistry and biomedical engineering challenge to develop controlled release therapeutics is
80 age pancreatic cancer is needed but has been challenging to develop because of the lack of an effecti
81 r small size and high diversity have made it challenging to develop detection methods that have suffi
82 brain-behaviour relationships and making it challenging to develop neuroimaging biomarkers to track
84 ting viral spread and disease, it has proven challenging to develop targeted and selective therapeuti
85 gies to treat RB1-deficient tumors, as it is challenging to develop targeted drugs for tumors that ar
88 lic heterogeneity among human tumors poses a challenge to developing therapies that exploit metabolic
90 which is invasive for patients and sometimes challenging to diagnose due to morphologic heterogeneity
91 compared with other RCC subtypes, but it is challenging to diagnose TFE3-RCC by traditional visual i
93 tissue morphogenesis; however, it has proved challenging to directly measure strain at high spatial r
94 tation of free electron-hole pairs have been challenging to directly probe because of their inherentl
95 verning their spatial distribution are often challenging to discern given that they operate across mu
97 often caused by cigarette smoking, making it challenging to disentangle its role in lung cancer susce
98 for Alzheimer's disease, it is particularly challenging to disentangle structural changes related to
99 r traits such as gene expression, it remains challenging to distinguish the causal nucleotide from ne
100 hat share cell-of-origin lineages and can be challenging to distinguish using standard-of-care imagin
102 bsequent target engagement confirmation is a challenge to drug discovery and translation due to lack
103 TMD thin-films present uniquely difficult challenges to effective nanoscale crystalline characteri
105 e embryonic developmental processes makes it challenging to elucidate their roles in postmitotic neur
106 eterogeneity has traditionally imposed large challenges to energy quantification because of nonlinear
107 ional microvasculature has been particularly challenging to engineer due to its size and complexity.
108 such antibodies can be expensive to produce, challenging to engineer, and are not necessarily stable
109 testing and research of such mixtures, it is challenging to establish initial concentrations without
110 ligand, [(11)C]CIMBI-36, and a d-amphetamine challenge to evaluate synaptic 5-HT changes in the livin
112 viding exciting opportunities and formidable challenges to existing theoretical and modeling approach
114 ofluidic prototyping, but posing a number of challenges to experimentalists, including leaching of un
117 a broad range of targets, but it has proven challenging to fabricate suitable three-electrode system
118 ve multiple nonintuitive parameters that are challenging to fit in well-defined manner, have difficul
120 Electrochemical Transistors and it is still challenging to formulate precise design rules guiding ma
124 of long reads, averaging 8-15%, has made it challenging to generate a highly accurate final sequence
125 the joint test has been performed, it may be challenging to get summary statistics from both exposure
131 RS-CoV-2) pandemic has brought a new wave of challenges to health care, particularly in the area of r
136 with fewer hydrophobic domains that makes a challenge to identify the specific targets/binding sites
138 form an event from notable to extreme can be challenging to identify and hence, limit forecast abilit
139 rsity of the cancer genomics profiles, it is challenging to identify distinct clusters from different
140 gate symbioses are ancient, it is especially challenging to identify early or intermediate stages.
145 range of peptidic epitopes; it is therefore challenging to identify their natural and synthetic subs
152 me and complexity of genomic data presents a challenge to interpreting enhancer function in normal an
155 wide, but methodological differences present challenges to large-scale analysis across datasets.
157 deration in many desalination studies, it is challenging to make (intuitive) sense of energy efficien
158 c changes and distributive shock that can be challenging to manage and can lead to multiple organ fai
162 igen physicochemical variability can present challenges to manufacturing personalized cancer vaccines
163 amily of direct-fit models present a radical challenge to many of the theoretical assumptions in psyc
164 ern United States, and represent the primary challenges to marten conservation at the southern periph
166 lifetime and aerosol concentration has been challenging to measure from polar orbiting satellites.
170 o pool-based SOC models; as a result, we are challenged to mechanistically predict how environmental
171 nfluences human brain development, but it is challenging to model PCE using animals and current cell
172 ng-standing biological mystery that may pose challenges to modern mtDNA disease therapies, leading to
174 reactive oxygen species can be fleeting and challenging to monitor in vivo Although remaining a chal
177 likelvin temperatures-however, it has proven challenging to operate nanoscale optomechanical devices
178 ms that are often expensive, cumbersome, and challenging to operate, confining many digital assays to
180 asmodium parasite and its life cycle poses a challenge to our understanding of the host immune respon
188 regulation have further implications during challenges to physiological homeostasis, including exerc
189 arameters used in diverse tumor types, it is challenging to pinpoint FUS specifications that may elic
190 on to changing light intensities poses major challenges to plant metabolism and has been shown to inv
191 has been slow-growing because IGEs have been challenging to precisely and comprehensively locate in g
192 itive interactions in gold complexes make it challenging to precisely establish the identity of gold-
193 lysis of genome-wide association data, it is challenging to precisely localize the variants that affe
196 complex ways to their environment, making it challenging to predict a direct relationship between the
198 disperse hard Brownian particles, it remains challenging to predict the forms of order that can emerg
199 complexity of coral-reef ecosystems makes it challenging to predict their dynamics and resilience und
200 to many biological processes, yet it remains challenging to predictively design this functionality de
202 y functionalised 1,2,3-triazoles that remain challenging to prepare by azide-alkyne cycloaddition (AA
207 remain understudied, partly because they are challenging to prioritize for experimental validation.
209 nt with biologicals, and clinicians face the challenge to provide optimal care during the pandemic.
210 s critical to performing these assays, it is challenging to provide it in an electricity-free format
212 e on short time scales, as perturbations are challenging to quantify and ecosystem transitions are ra
213 generates multifunctional carbonyls that are challenging to quantify because of unavailability of sta
214 eatures in the cognitive domains, it remains challenging to quantify functional brain connectomic cha
220 ncrease in size and complexity, it becomes a challenge to reach a mechanistic interpretation of exper
221 omics resources and future opportunities and challenges to realize the goal of precision oncology.
224 signal to noise ratio (SNR), it is extremely challenging to recover such information with existing im
228 elocity and large content of cold gas remain challenging to reproduce with most numerical simulations
230 The scale of these NGS datasets has made it challenging to search through the Complementarity-determ
231 eding studies are highly variable, and it is challenging to select the appropriate TDF for diet estim
232 A-origami design and preparation, it remains challenging to separate structural components of an arch
233 ic character of supramolecular links present challenges to sequence definition in extended supramolec
235 te recent advances in this field, it remains challenging to simultaneously achieve high multiplexing,
237 owires (NWs) for optoelectronics, it remains challenging to solution-print an array of NWs with preci
239 n development and evolution, the LPM remains challenging to study and to delineate, owing to its line
240 ic(5,6) criteria, as it has been technically challenging to study both aspects of neuronal diversity
241 ntation human embryonic development has been challenging to study due to both technical limitations a
248 antly impacted genes or gene sets, which are challenging to synthesize down to actionable results wit
251 This paradoxical relationship has made it challenging to tease apart sources of variability that d
253 and Allesina (2019) proposed a computational challenge to test whether it is indeed possible to diffe
255 ty of purified GSLs represents a significant challenge to the discovery and characterization of biolo
256 oncogenes in pediatric cancers poses a major challenge to the evolving paradigm of personalized medic
257 l surface of the intestine poses an enormous challenge to the host because it must avoid the activati
263 ase 2019 (COVID-19) pandemic poses important challenges to the care of patients with immune-mediated
265 ty of the patient population present massive challenges to the development of early diagnostic tools
267 k of bias and insufficient reporting present challenges to the reproducibility and implementation of
268 syndrome coronavirus 2 (SARS-CoV-2) presents challenges to the robust collection of population-scale
269 etter data analysis tools, there remain many challenges to the routine use and implementation of thes
270 , and discuss current opportunities for, and challenges to, the use of PARPis in neuro-oncology.
271 Understanding how plants grow and overcome challenges to their survival is critical for using these
274 onclude that adversarial images still pose a challenge to theorists using DCNNs as models of human vi
277 ber of conceptual, practical, and analytical challenges to this line of research and used a preregist
278 rs, highlighting current trends and possible challenges to this rapidly developing area, with a speci
280 ontrast between these strategies, it remains challenging to trace nutrients from endogenous stores or
281 path from ancestral gene to novel protein is challenging to trace, and therefore the requirements for
282 n sources, including waste streams that pose challenges to traditional chemical processing, such as l
285 te lymphoblastic leukemia (ALL) has remained challenging to treat in children, with survival rates la
286 ance to fulvestrant and palbociclib is a new challenge to treatment of estrogen receptor positive (ER
289 finality and multifinality pose considerable challenges to uncovering underlying mechanisms and under
291 tions and various modes of signaling make it challenging to understand their structure and function.
294 Although this complexity poses formidable challenges to understanding the underlying molecular bas
295 ction development in childhood, it remains a challenge to use this information to estimate the potent
297 lar-visualization programs are expensive and challenging to use; work only on specific VR headsets; r
300 ected by carboxylic acids can overcome these challenges to yield gamma-lactones in high enantiomeric