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1 monitor change over time using the 2-FDG SUV metric.
2 so exhibited greater dual task costs to this metric.
3 gene directly associated with this tolerance metric.
4 with less time to meet the 90-minute quality metric.
5 diversity measure, and choice of effect-size metric.
6 rucial for further testing and adjusting the metric.
7 sts resulting from improvements in a quality metric.
8 Overall, 7436 (38.4%) were excluded from the metric.
9 n, electrochemical reaction, and performance metric.
10  with up to a 25% variability in performance metrics.
11 f subsequent NIH R01 funding and publication metrics.
12  cycle context, and apply other biodiversity metrics.
13 ate lesion-level binary response to the dose metrics.
14 uptake interpretation using semiquantitative metrics.
15 signs match or exceed natural muscle in many metrics.
16 ineages derived from networks and centrality metrics.
17 d of future PD not captured by classical HRV metrics.
18 t one if not all of the aforementioned sleep metrics.
19 ded in this study, 402 (22%) achieved all TO metrics.
20 y measurement and any of the hazard-specific metrics.
21 f N50 and sought to develop more informative metrics.
22  ideal and late-life intermediate global CVH metrics.
23 ently outputs the common kinetic information metrics.
24 brings into question the validity of quality metrics.
25  deep learning methods as indicated by three metrics.
26 ales, was correlated with neurophysiological metrics.
27 ompared with the 30-day RSRR and 30-day RSMR metrics.
28 ges were quantified for VAD and flow deficit metrics.
29 more robustly compared to traditional PS-OCT metrics.
30 layed moderate correlation to cardiac strain metrics.
31 asurements in predicting all quantitative VF metrics.
32 nd how composition relates to polymerization metrics.
33 e methods to improve performance on D2B time metrics.
34 ved coverage) plus individual-level validity metrics.
35 mentary-to loss-of-function (LOF) constraint metrics(2).
36 nes(5), that outperforms missense constraint metrics(3) and that is comparable-but complementary-to l
37 ically significant differences for all 9 CGM metrics, 6 of 7 HbA1c outcomes, and none of the 15 cogni
38                                 The Distance Metric, a measure of vascular tortuosity, was found to b
39                             'Generalized' RF metrics address this shortcoming by pairing splits in on
40 assessment between different hazard-specific metrics, agreement was usually low, as it also was when
41 ound between physical fitness and global DTI metrics (all P > 0.082).
42 quilibrium prevalence, a key epidemiological metric and data on human outbreaks of rodent-borne zoono
43 developed a KIR3DL1/HLA interaction strength metric and found that weak KIR3DL1/HLA interactions were
44 roach and the relevance of defining specific metrics and answer scales for consortium-wide analyses a
45 dations exist for children <2 y, but limited metrics and assessment of dietary quality are available.
46 f extraction difficulty was assessed using 2 metrics and correlated with ILA grade.
47                     The Institute for Health Metrics and Evaluation International Classification of D
48 nition developed by the Institute for Health Metrics and Evaluation.
49 ariance) testing of associations between ADC metrics and glioma genotypes, including Bonferroni corre
50 T necessitates knowledge about degranulation metrics and guidance to guarantee correct execution and
51 rting statistical heterogeneity and specific metrics and methods employed to quantify and explore het
52 mate the association between hourly particle metrics and MI cases, adjusted for air temperature and r
53 rth was associated with altered regional MRI metrics and patterns of differential gene expression in
54 d a major transition in terms of publication metrics and the influence these papers had on the organi
55 ed a strong association between various dose metrics and the probability of response.
56                                  Performance metrics and tumor characteristics between the groups wer
57 kflow within our EHR, improve operative room metrics and user satisfaction.
58  in 3 of 7 binary HbA1c outcomes, 8 of 9 CGM metrics, and 1 of 4 patient-reported outcomes.
59 e document high variability for a variety of metrics, and for many the range of outcomes is not relat
60 rceived patient severity of illness, quality metrics, and healthcare reimbursement.
61 lementation methods, inconsistent assessment metrics, and lack of clinical validation.
62 was the strongest predictor of all diversity metrics, and productivity played only a marginal role.
63 hed collaborations, developed guidelines and metrics, and undertook reanalysis of previously deposite
64                           Currently, quality metrics are linked to the number of LNs resected to dete
65                                    These two metrics are uncorrelated in high-resolution representati
66                                      Network metrics are widely used to infer the roles of mutualisti
67      Disruption of the network efficiency, a metric assessing the efficiency of network information t
68 ls of damage, with no measured physiological metric associated with reproductive success.
69 the number of cases included in the D2B time metric at 90 minutes and whether operators were increasi
70                       The S63 transcriptomic metric (AUC 0.80) outperformed clinical markers and plas
71 certain computationally efficient comparison metric between Gaussian mixture models.
72 pasm and quantified the changes in perfusion metrics between pre- and post- verapamil administrations
73 metry to determine lesion absorbed dose (AD) metrics, biological effective dose (BED) metrics, equiva
74 ach to improve the key transport performance metrics by more than a factor of 10 compared with those
75                                            A metric called the Hurst exponent could be a useful bioma
76 ethodology, clinical- and neuroimaging-based metrics can be quantified under conditions of drug versu
77 ures remains a challenge, since few existing metrics capture high-level structural features such as a
78 (characterized by the algebraic connectivity metric) caused by abnormal neuronal firing during a seiz
79 n distribution, and that the traditional PPI metric changes with different stimuli.
80 ield recommendations may not be true quality metric changing.
81         Whereas cardiovascular disease (CVD) metrics define risk in individuals >40 years of age, the
82 d social position using three social network metrics: degree, strength and betweenness.
83                            Here, we examined metrics derived from shotgun metagenomic sequencing and
84  sequence and structure, we introduced a new metric designated 'contact proximity deviation' that enu
85 urban development stage, whereas aggregation metrics determine such trends mostly in mid-sized cities
86   While foveal avascular zone and foveal pit metrics did not significantly differ with age, results i
87 cterization of z-line architecture using the metrics discussed and implemented in this work can quant
88                       Although useful, these metrics do not convey the tests' clinical value, which i
89                                Together, our metrics enable rigorous investigations of structure-func
90 AD) metrics, biological effective dose (BED) metrics, equivalent uniform dose, and equivalent uniform
91 commendations for individuals aged >=2 y and metrics exist to assess alignment.
92                                   The latter metric explains the most variation in adaptive potential
93 erance rank (GeVIR), a continuous gene-level metric for 19,361 genes that is able to prioritize both
94 ntorhinal grid cells, proposedly providing a metric for cognitive maps.
95 -dependent DNA topology, as a prioritization metric for fine-mapping.
96 Functional brain connectivity is a promising metric for identifying treatment mechanisms and biosigna
97 dose) over the mCT Flow when using the ALROC metric for lesions at least 9.89 mm in diameter.
98 k pool is large, and a clinically meaningful metric for risk stratification to guide interventions re
99 re equally influenced or provide a universal metric for self-motion across environments remains unkno
100 or SARS-CoV-2 detection is a key performance metric for the evaluation of viral detection assays.
101            Absent other interventions, a key metric for the success of social distancing is whether c
102 uire the computation and storage of multiple metrics for a wide range of ribosome footprint lengths.
103                                      Crucial metrics for ADC efficacy, safety, and selectivity are th
104  and ecological opportunity hypotheses using metrics for both taxonomic and phylogenetic diversity an
105 le companies to provide preliminary baseline metrics for current oligonucleotide manufacturing proces
106  respectively, that should serve as valuable metrics for future studies evaluating SOC storage under
107                                      Outcome metrics for living donors include patient survival, surv
108      We systematically evaluated 4 different metrics for patient similarity using unbiased mathematic
109 uivocal need for more active and specialised metrics for reliably identifying the conclusion of an ep
110                            We evaluate these metrics for reptiles, which have been largely neglected
111                                         Dose metrics for several structures (i.e., optic disc, macula
112 ides a roadmap for extending the performance metrics for studies of even larger, more complex systems
113 ssociation's 2030 Impact Goal and associated metrics for success underscores the importance of cardio
114  variable space is found to provide suitable metrics for tracking the order and disorder in the Ising
115 ly access ribosome profiling quality control metrics, generate essential plots and carry out analyses
116 t-output analysis and applying different GHG metrics (global warming and temperature potentials) and
117 -19) continues to ravage health and economic metrics globally, including progress in maternal and chi
118 ermediate and late-life ideal biological CVH metrics had a significantly increased risk of dementia (
119 AA and 3.8% for SUV(mean) All 4 quantitative metrics had a standardized effect of more than 0.324 on
120                           The transcriptomic metric has been operationalized on an Food and Drug Admi
121        The Damerau-Levenshtein (DL) distance metric has been widely used in the biological science.
122 m disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale
123 erebrovascular blood pressure autoregulation metrics have not been translated to clinical care for pe
124        First, we developed and applied three metrics (i.e., accuracy, precision, and reliability) to
125 ed image, AggreCount will report a number of metrics: (i) total number of cellular aggregates, (ii) p
126 me loops and ventricular power, an important metric in the clinical assessment of cardiac function.
127 he independent effects of a certain particle metric in two-pollutant models by adjusting for copollut
128 ults per year) and spoke alteplase treatment metrics in an academic telestroke network.
129             The synchronous changes in these metrics in archaeocyath, hyoliths and helcionelloids sug
130 028) for people with intermediate global CVH metrics in both midlife and late life and 0.14 (0.02, 0.
131                Compared with poor global CVH metrics in both midlife and late life, the fully adjuste
132 d stability, the three important performance metrics in ECR.
133 tive ethnic groups, and surpass conventional metrics in identifying active LN, with better sensitivit
134 ansplant outcomes and other patient-centered metrics in public reports of center outcomes, a mixed me
135  showed similar associations across particle metrics in the first 6-12 h.
136 ortical regions, and higher nodal centrality metrics in the left cingulate cortex and left thalamus.
137 otic relatives showed lower nodal centrality metrics in the prefrontal cortex and subcortical regions
138                                              Metrics included area under the receiver operating chara
139                The tools were compared using metrics including recall, precision, and F1 score (the h
140 nvestment on patient, provider, and practice metrics, including health outcomes, expenditures, proced
141 gnificantly outperformed traditional imaging metrics, including midtreatment metabolic tumor volume f
142  the relationship between different particle metrics, including particle number (PNC), length (PLC),
143 umented improvement in clinically meaningful metrics, including tear breakup time (TBUT), corneal sta
144 n procurement organization (OPO) performance metrics incorporate organs donated after circulatory det
145                 To this goal, a multivariate metric index through the Soft Independent Modeling of Cl
146                                        State metrics indicative of compromised oral health correlate
147                                      Network metrics informed about changes in seed rain quantity aft
148                   In general relativity, the metric is influenced by matter, and is expected to becom
149                     The Robinson-Foulds (RF) metric is widely used by biologists, linguists and chemi
150 osis was evident via multiple beta diversity metrics: Jaccard similarity coefficient, Bray-Curtis sim
151                            Our proposed tree metrics make it possible to conduct statistical analyses
152                                         OCTA metrics may improve progression risk assessment in DR wh
153 ound Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining
154 aitlist-based rates, indicating that current metrics may not reflect transplant access in the broader
155                      Commonly used diversity metrics may underestimate the impacts of land use on soi
156                   We then varied the quality metric methodologies to explore the impact on measured p
157                           Changes in quality metric methodology also had a substantial impact on hosp
158  to explore the impact of changes in quality metric methodology on measured quality performance, the
159                                          Non-metric multidimensional scaling (NMDS) of the gut microb
160 airwise distance values following a Bayesian Metric Multidimensional Scaling Approach.
161 uggest that trade-offs based on more diverse metrics must be incorporated into energy planning.
162                                     However, metrics must be meaningful, evidence-based, attributable
163 ess of the assembly, and a commonly reported metric, N50, can be misleading.
164 nal ranges, body condition, and reproductive metrics obtained from capture-recapture (physical and ge
165 ministration Ratio (SAAR) is a risk-adjusted metric of antimicrobial use (AU) developed by the Center
166 re-volume (PV) analysis is the gold standard metric of assessing ventricular performance.
167  mushroom-body beta-lobe midline crossing, a metric of axonal guidance.
168            In doing so, we introduce a novel metric of climate connectivity, 'human exposure', that q
169 ted accuracy (AWA), representing a pragmatic metric of diagnostic yield or global utility of a diagno
170  plant phenology, researchers commonly use a metric of temperature sensitivity, which quantifies the
171  to predict SA extent, defined by a combined metric of the coronary artery calcification score and 2-
172 oncept that purely tumour epithelium-centric metrics of aggressiveness may be incomplete and that inc
173 vestigate relations between pesticides and 6 metrics of benthic community structure.
174 or plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition
175 ion study (GWAS) of two previously validated metrics of cognitive resilience quantified using a laten
176      Our results show that 1) mouse-tracking metrics of conflict sensitively detect differences in th
177 ue of risky versus certain options; 2) these metrics of conflict strongly predict participants' risk
178 e, with a three- or fourfold increase in all metrics of contractility, as well as myocardial energy p
179 orrelations between MCT and choroidal vessel metrics of CVV, CSV, CVI, and CSVR were studied.
180 ence intervals (CIs) associated with various metrics of EC exposure.
181                                        Using metrics of governance, collaboration and human pressure,
182 on was explained by diffusion tensor imaging metrics of increased white matter integrity.
183                              However, common metrics of malaria transmission such as parasite prevale
184    A comprehensive method for using multiple metrics of measuring assembly quality is presented.
185 he locations of visual targets and the motor metrics of memory-guided saccades from the spatial locat
186 ted to capture differences in behaviors, and metrics of nonlinear movement variability were used to q
187 h a volume of 14 mm(3) (SUV(P14)) as optimal metrics of response to therapy.
188 r macro- and microphysiological architecture metrics of sleep demonstrated such sensitivity.
189           In the best cases, the performance metrics of small, stretchable, radio frequency (RF) ante
190 ses across taxa to land use than widely used metrics of species richness, effective species numbers,
191                                     To date, metrics of thermal stress within marine systems have foc
192        After triggering pEMT these and other metrics of UJT versus pEMT diverge.
193 il biological health, soil biological health metrics offer limited a priori information on a site's r
194                      Probabilistic phenotype metrics offer the following three benefits.
195 itionally, shell elongation from the umbo, a metric often overlooked, is shown to have significant ef
196  outputs include the network with values for metrics on its nodes and the tree with characters recons
197  user has the option to calculate centrality metrics on the nodes including betweenness, closeness, d
198  single-trial level; 3) these mouse-tracking metrics outperform participants' reaction times in predi
199 ugh-focus analysis performed on the logNS IQ metric over 5 mm pupil diameter following cycloplegia.
200  showed good discriminatory power of the new metrics (P < 0.001).
201  parameters, including foveal avascular zone metrics, parafoveal vessel length density (VD), and perf
202 nterfactuals, health response functions, and metrics; parameterization and reporting; approaches to u
203 ors shift over the urbanization stages: area metrics play a role in PM(2.5) trends of small-sized cit
204 aphy (OCTA) images, but the repeatability of metrics produced from various binarization methods has n
205 ine the repeatability of OCTA quantification metrics produced using different binarization thresholdi
206                              Together, these metrics provide a more comprehensive and robust method o
207                                        These metrics provide greater mechanistic insight into behavio
208                      The 25th-percentile ADC metric provided the best performance (AUC, 0.79; 95% CI:
209 of this sensing framework and we introduce a metric, referred to as synaptic efficiency to quantify s
210                                  Thus, these metrics reflect distinct dimensions of dietary specializ
211  dose of a drug is perhaps the most holistic metric reflecting its therapeutic potential.
212  dialysis management, compared with only one metric related to kidney replacement planning and two re
213                 We evaluate 10 key ecosystem metrics, relating to a variety of different reef ecosyst
214              From the independent evaluation metrics released in the CASP13 experiment, AWSEM-Suite p
215                                          The metric relies on Centers for Disease Control and Prevent
216 nsured payor mix impact hospital performance metrics remains largely unknown.
217 tures in microstructural maps, improved dMRI metric reproducibility, preserved sensitivity (SE = 87.8
218 nt care, measures of patient acuity, quality metrics, research database accuracy, and healthcare reim
219 eal levels (versus poor level) of global CVH metrics, respectively; the corresponding figures for lat
220 put variables to the models included traffic metrics, road network features, meteorological condition
221 ormed and assessed via information-theoretic metrics, showing an improvement of skill over LIM approa
222  method is an algorithmic approach that uses metric-space nearest neighbor search over a template dat
223         Then, we show how coral biodiversity metrics (species richness, total abundance and probabili
224 ven structure cannot be predicted by quality metrics such as resolution, Cruickshank Diffraction Prec
225 n of features with conventional quantitative metrics such as SUV, metabolic tumour volume, and total
226 ies were detected by classical diffusion MRI metrics, such as fractional anisotropy and mean diffusiv
227                 Structural covariance global metrics suggested a potential difference in brain reserv
228                          We introduced a new metric, termed stem cell aggregate pattern distance (SCA
229 ermine their potency and quantify these as a metric that accurately predicts mTORC1/LARP1 regulation
230  Here we introduce thermal displacement as a metric that characterizes MHWs by the spatial shifts of
231  measurements we constructed a physiological metric that reflects the changing distributions of measu
232 standing of patterns in and between exposure metrics that are based on specific hazards of the storm
233 n ecology, as well as an accompanying set of metrics that are comparable across species.
234                 A set of general performance metrics that can be used for quantification of the perfo
235 ging is hampered by the lack of non-invasive metrics that can predict the life expectancy of pre-clin
236 ntageously allows the extraction of original metrics that characterize the anisotropic and hysteretic
237                      Here we develop two new metrics that combine phylogenetic diversity and the exte
238 was comparable to that of radiobiologic dose metrics that involve more complex calculations.
239 t the use of plant- and remote sensing-based metrics that rely on tissue stoichiometry is limited due
240 ing betweenness, closeness, degree and a new metric, the source/hub ratio.
241              In this study, we propose a new metric, the waitlisting rate, defined as the ratio of pa
242 oncerned with the extraction of quantitative metrics-the so-called radiomic features-within medical i
243 id organ transplant setting by coining a new metric: the willingness-to-transplant (WTT) threshold.
244 ce of choice of GHG accounting approach, GHG metric, time horizon, climate threshold, global emission
245     We propose a simple binomial probability metric to ascertain translation probability.
246 simple and sufficient diffusion-weighted MRI metric to augment diagnostic performance of breast MRI c
247 l cardiac arrest has emerged as an important metric to benchmark and incentivize hospital resuscitati
248           We aimed to create a comprehensive metric to characterize antibiotic overuse after discharg
249 Microbiologic cure merits further study as a metric to guide therapeutic interventions for patients w
250 outcome is a useful and easily interpretable metric to monitor effectiveness of PrEP programmes with
251              These findings offer an outcome metric to which future novel glaucoma procedures in chil
252 ighlight the need for developing new optimal metrics to accurately quantify the clinical applicabilit
253 yield (TRY), and scalability are challenging metrics to achieve due to trade-offs between carbon use
254 division, at a single-cell level are used as metrics to assess drug efficacy.
255 acy, variability, and performance of imaging metrics to assess response to therapy were determined.
256 ucibility of standardized uptake value (SUV) metrics to assess response to therapy, and we optimized
257 al of soil-, plant- and remote sensing-based metrics to compare the nutrient status across space.
258                           We used a suite of metrics to describe the temporal and spatial behaviour o
259 duced ejection fraction and existing quality metrics to explore the impact of changes in quality metr
260  in determining the 2030 Impact Goal and the metrics to monitor progress.
261 iscourses, we submitted the connected speech metrics to principal component analysis alongside an ext
262 s as guidelines for users to use these three metrics to select sensible RNA-seq pipelines for the imp
263 ress fibers and cell boundaries and choosing metrics to summarize overall z-line architecture have go
264 successful epidemic recovery, applying these metrics to support preincident planning for postepidemic
265 ed within each eye to correlate quantitative metrics to the level of an induced astigmatic cylinder.
266 0% via spillover, generating 9 to 12 million metric tons more food annually than in a business-as-usu
267 speed, and device dimension are thus crucial metrics underlying almost all current developments of ph
268 r modeling approaches across the performance metrics used by learning the predictors' temporal patter
269 6-month changes in QoL was assessed for each metric using generalized estimating equations.
270 status, and on-therapy quality-of-life (QOL) metrics using the Functional Assessment of Cancer Therap
271 mine the diagnostic accuracy of quantitative metrics, using visual grading as the reference standard.
272 ss the spatial distribution of species - one metric valuing regions and another prioritising species.
273 ationship between clinical parameters and CT metrics versus patient outcome (intensive care unit [ICU
274                  Notably, neither resilience metric was genetically correlated with clinical Alzheime
275                                   Using this metric, we demonstrate how GC skew patterns are conserve
276                      Using our newly defined metric, we identify multiple mis-assembled chromosomal s
277         Built upon the common human mobility metrics, we construct a Social Distancing Index (SDI) to
278 rresponding figures for late-life global CVH metrics were 0.60 (0.22, 1.69; p = 0.338) and 0.91 (0.34
279                          Global visual field metrics were compared among reliable and unreliable resu
280                                     Obtained metrics were compared between participants with CF and c
281 e of choroidal involvement, and quantitative metrics were compared between subgroups and normal contr
282                                 Quantitative metrics were compared between uveitis and control eyes.
283                                         Flow metrics were derived from the CMR images to provide some
284 umor delineation, the following lesion-based metrics were derived: mean, peak, and maximum tumor-to-b
285                  Results: All 4 quantitative metrics were highly accurate, with an area under the rec
286 x3 mm and 6x6 mm scans from all eyes, the FD metrics were highly dependent on the selection of the lo
287         Results show that foveal pit and FAZ metrics were not related to age, axial length, or refrac
288                   Left ventricular vorticity metrics were observed to be higher in women than in men
289                    Rates of change for the 2 metrics were obtained using linear mixed models, categor
290   Furthermore, these early T cell activation metrics were predictive of GVHD onset 3-6 wk before phen
291                           Nearly half of the metrics were related to dialysis management, compared wi
292                Optimism adjusted performance metrics were reported.
293                                    Balancing metrics were similar before and after the intervention.
294 d the vessel density percentage, the control metric, were computed, and their values were compared be
295 est that this adjusted and further adaptable metric, which included the organic carbon concentration
296 analyzed economic implications of race-based metrics widely used in occupational epidemiology.
297 cognitive flexibility using a combination of metrics with ecological and construct validity.
298                    Associations of most UNGD metrics with hospitalization were stronger among those w
299 racy imposed by natural variability in these metrics within our patient population.
300                               The AD and BED metrics yielding 50% TCP were 292 and 441 Gy, respective

 
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