ライフサイエンスコーパス: k

1 k(=S) for alumina was 2.42 x 10(4) and 2.03 x 10(4) m(-2

2 k(on) and k(off) values varied greatly between the nine

3 conformational diffusion upon reaction (8.0 k(B)T to 3.4 k(B)T), which occurs across the entire pept

4 inhaled air stepwisely (pO(2); 21.25 kPa (0 k), 16.42 kPa (2 k), 12.63 kPa (4 k) and 9.64 kPa (6 k))

5 and bootstrap models (g = 0.32; P < 0.0001; k = 21; CI = 0.13-1.38).

6 esity (1.9+/-0.3 versus 2.2+/-0.2, P<0.001), k(f)(Ckrest) was 33% higher (0.23+/-0.07 s(-1) versus 0.

7 oth the random effects (g = 0.33; P = 0.015; k = 17; CI = 0.07-0.60) and bootstrap models (g = 0.32;

8 al anomaly (N=23,300, k=11; prevalence=4.1%, k=11; odds ratio=1.81, 95% CI=1.35-2.41; number needed t

9 calculate the kinetic rate constants K (1), k (2), k (3), and k (4) The analysis was repeated with t

10 and have endothermicities in the range 5-10 k(B)T at room temperature in solution.

11 wisely (pO(2); 21.25 kPa (0 k), 16.42 kPa (2 k), 12.63 kPa (4 k) and 9.64 kPa (6 k)).

12 omalies (N=1,348,475, k=12; prevalence=1.2%, k=9; odds ratio=1.86, 95% CI=1.16-2.96; NNH=71, 95% CI=4

13 ate the kinetic rate constants K (1), k (2), k (3), and k (4) The analysis was repeated with truncate

14 igher odds of spontaneous abortion (N=1,289, k=3, prevalence=8.1%; odds ratio=3.77, 95% CI=1.15-12.39

15 Crystallographic and 2D k-space spectroscopic analysis reveals that the transiti

16 an intraclass correlation coefficient (ICC(3,k)) of 0.783 (95% confidence interval [CI]: 0.743, 0.817

17 er odds of any congenital anomaly (N=23,300, k=11; prevalence=4.1%, k=11; odds ratio=1.81, 95% CI=1.3

18 al diffusion upon reaction (8.0 k(B)T to 3.4 k(B)T), which occurs across the entire peptide, independ

19 the fluctuation of external work is above 4 k(B)T, which is easily observable in biomolecular intera

20 .25 kPa (0 k), 16.42 kPa (2 k), 12.63 kPa (4 k) and 9.64 kPa (6 k)).

21 2-77) and of cardiac anomalies (N=1,348,475, k=12; prevalence=1.2%, k=9; odds ratio=1.86, 95% CI=1.16

22 D) reveal second-order behavior, k(H) = 0.5, k(D) = 0.08 M(-1) s(-1) (THF, -80 degrees C); thus, the

23 lized on an Food and Drug Administration 510(k)-cleared platform otherwise used for cancer diagnostic

24 2 kPa (2 k), 12.63 kPa (4 k) and 9.64 kPa (6 k)).

25 16, z = -8, F13.51, TFCE((1, 54)) = 771.68, k = 70, P(FWE) = 0.044) resulting from a positive associ

26 ortex/medial prefrontal cortex (-12, -8, 68; k=2,217).

27 a (coordinates, 44, 14, -14 and -38, 20, -8; k=2,102 and k=1,305, respectively) and cingulate cortex/

28 that performs maximum likelihood analyses, a k-mer-based set difference algorithm, and random forest

29 e enzyme evidenced by a K(I) = 2.2 muM and a k(inact) = 0.15 min(-1), and a partition ratio of 14.

30 In contrast, MILO identified a k-nearest neighbor-based model using only five features

31 each k-mer; i.e. the higher the weight of a k-mer, the more likely it is to be selected.

32 cision tree, and Random Forest (RF), using a k-fold cross validation to assess the model's generaliza

33 be computed across multiple genomes where a k-mer occurrence is only counted once per genome.

34 xes for water oxidation at neutral pH with a k(obs) of 140 s(-1) at an overpotential of only 200 mV.

35 demonstrating efficient anti-aliasing with a k-space view-sharing technique, and proposing novel meth

36 d), I-A(d)) or third-party (C3H, H2K(k), I-A(k)) cardiac grafts.

37 ysis and formation reactions (Cl2 + H2O + A- k-4k4HOCl + HA + Cl-) were necessary to accurately simul

38 During conditioned food aversion - a.k.a. sauce bearnaise syndrome - the ingestion of a spoil

39 ochores to silence the mitotic checkpoint (a.k.a. spindle assembly checkpoint [SAC]).

40 e define how a multimodular scaffold, GIV (a.k.a. Girdin), titrates such inflammatory response in mac

41 renal clearable theranostic nanoparticles (a.k.a. H-Dots) are demonstrated.

42 broad-spectrum anticancer drug paclitaxel (a.k.a. Taxol) that is stable in cell culture and labile to

43 Rdh54 (a.k.a. Tid1), a Rad54 paralog in Saccharomyces cerevisiae,

44 ers often apply rank-reduction techniques (a.k.a. empirical orthogonal functions [EOF]) to identify i

45 gh post hoc tailoring of analysis windows (a.k.a. regions-of-interest, ROIs) to landmarks in the coll

46 thm for calculating either the most abundant k isotopologue peaks of a compound or the minimal set of

47 Here we developed a new amino acid k-mer-based CAZyme classification, motif identification

48 additional mutations that increase activity (k(app)) 590-fold compared with that of ABE7.10.

49 d craving during the alcohol administration (k = 51 studies, 24 medications).

50 ue, we developed a new clustering algorithm, k-hulls, that reduces heterogeneity of the convex hull.

51 explored using principal component analysis, k-means, and hierarchical clustering.

52 rall)(HOO(*)) = 1.53 x 10(8) M(-1) s(-1) and k(overall)(NO(2)) = 1.98 x 10(8) M(-1) s(-1)), whereas i

53 es, 44, 14, -14 and -38, 20, -8; k=2,102 and k=1,305, respectively) and cingulate cortex/medial prefr

54 etic rate constants K (1), k (2), k (3), and k (4) The analysis was repeated with truncated 30-min dy

55 Here, using IC(50) and k (inact)/K(I) analyses, we quantified the ability of ni

56 n binding protein-C)-sc returned pCa(50) and k(tr) to control values and abolished oscillations, but

57 ture in K, S is the Seebeck coefficient, and k(B) /e = 86.3 uV K(-1) .

58 peak H(2)O(2) mixing ratios to decrease and k(H(2)O(2)) to increase, suggesting that surface uptake

59 chines, traditional linear discriminant, and k-nearest neighbor statistical analyses.

60 ate, via t-Stochastic Neighbor Embedding and k-means cluster analysis of surface marker expression, t

61 rice varieties had lower crumb firmness and k values than brown rice cakes.

62 he simultaneous measurement of both k(H) and k(add).

63 dministration, AUC(lung) was 352% higher and k (E,lung) was 86% lower in Abcc1 ((-/-)) rats.

64 k(on) and k(off) values varied greatly between the nine NAMs (34-

65 With derived Phi, k((*)OH/PAA) and k(HO(2)(*)/PAA), the kinetic model accurately predicts P

66 ar single nucleotide variants, plastomes and k-mers associated with retrotransposons reveals two inde

67 lly, we ask whether differential privacy and k-anonymity are PSO secure.

68 graphs for k-mer indexing without losing any k-mers in the haplotypes.

69 es to export the location of all approximate k-mers for each genomic position.

70 for probe design by identifying approximate k-mers that are unique to a genome or that are present i

71 computed between each sample represented as k-mer sets.

72 Multiple visualizations, such as k-mer spectrum plots, can be generated for evaluation.

73 ificantly outperform shallow CNNs as well as k-mer methods in the discovery of tissue-specific sites

74 , since it takes place simultaneously at +/- k(min).

75 Because k (cat)s are traditionally measured in low-throughput as

76 ith TEMPO-H(D) reveal second-order behavior, k(H) = 0.5, k(D) = 0.08 M(-1) s(-1) (THF, -80 degrees C)

77 the long-range interaction patterns between k-mers amino acids to predict protein crystallizability.

78 On one hand, binding (k'(on)) and unbinding (k(off)) rate constants were extra

79 , we engineer HG4, an efficient biocatalyst (k(cat)/K(M) 103,000 M(-1)s(-1)) containing key first and

80 cardiac workload led to an increase in both k(f)(CK) (+86%, P<0.001) and ATP delivery (+80%, P<0.001

81 enable the simultaneous measurement of both k(H) and k(add).

82 uced the glutaminolysis rates as measured by k (3) Conclusion: (18)F-FGln dynamic PET is a sensitive

83 as well as capacity estimate (as measured by k values).

84 s also generalized to extract characteristic k-mer peptides for all the Swiss-Prot enzymes classified

85 osphocreatine/ATP (by 17%, P<0.001), with CK k(f) unchanged (P=0.46).

86 transfer rate through creatine kinase (CK) (k(f)(CKrest)) would be increased, compensating for deple

87 erature on the propagation rate coefficient (k(p)), reveals the transition state barrier for polycarb

88 Biased agonism was assessed by comparing k(tau) values for arrestin recruitment with those for Gq

89 By comparing k-mers in a de novo assembly to those found in unassembl

90 UNCALLED probabilistically considers k-mers that could be represented by the signal and then

91 oxidizability R(n), composite rate constant k(c), and LOOH decomposition rate constant k(d).

92 t k(c), and LOOH decomposition rate constant k(d).

93 period IP, overall initiation rate constant k(IP), initiation oxidizability O(i), and the critical r

94 TADF) emitter with a radiative rate constant k(r) of ca. 9 x 10(5) s(-1), exceeding those of commerci

95 ment in the observed catalytic rate constant k(s) (~5 orders of magnitude) over the mononuclear analo

96 ace area >1500 m(2)/g and Langmuir constant (k(L)) > 0.1 to adsorb water vapor and meet these maximum

97 h-out traces, the association rate constant (k(1)) is somewhat decreased for both AMT and RMT in the

98 he S31N, but the dissociation rate constant (k(2)) is dramatically increased compared with WT.

99 tify the SO(4)(*-) scavenging rate constant (k(=S)) for alumina, a naturally occurring mineral in soi

100 he values of the inactivation rate constant (k(d)) decreased with an increase in pH, which was relate

101 ments to measure the exchange rate constant (k(ex)) of the imino protons in the unbound, cocaine-boun

102 causes the oxidation by HOCl rate constant (k(HOCl)) to nearly double and oxidation by Cl(2) to occu

103 1) and the highest hydrolysis rate constant (k(obt)).

104 ticle-associated inactivation rate constant (k(p)).

105 The total quenching rate constant (k(T)) of singlet oxygen of the alkene surfactant was mea

106 The resulting second-order rate constants k(2) followed the correlation log k(2)(20 degrees C) = s

107 d irreversibly, with removal rate constants (k(H(2)O(2))) 17-73 times larger than air change rate (AC

108 wer than the radiative decay rate constants (k(r) = 10(5) s(-1)).

109 Mg anode materials, and the rate constants (k) depended upon the struvite layer morphology.

110 Total PAH fomration rate constants (k) increased with the drying temperature.

111 opy, temperature-independent rate constants (k~1.4x10(-3) s(-1) ; half-life of ~8 min) were measured

112 Among the rate constants, k(d) better highlighted oxidizabilities as affected by t

113 A publicly available dataset containing k-space data as well as Digital Imaging and Communicatio

114 ulic conductance in the soil-plant continuum k(max) (a key model parameter which is not commonly meas

115 val [CI] -1.02 to -0.63) and active control (k-9; n = 662; SMD = -0.35, 95% CI -0.56 to -0.14) at pos

116 ce PTSD symptoms more than inactive control (k = 46; n = 3,389; standardised mean difference [SMD] =

117 sitivity and increased cross-bridge cycling (k(tr)) at submaximal [Ca(2+)].

118 ce in the leucine transporter show decreased k(off) rates in molecular dynamics simulations.

119 abilizes the closed conformation, decreasing k(off) 260-fold relative to streptavidin.

120 s applied to the transcript-sequence-derived k-mers.

121 fitted the inactivation data with determined k(d) and particle-associated inactivation rate constant

122 series of ligand concentrations, determining k(cat) and K(M) values for active variants.

123 this approach is contingent upon determining k(max) , it presents a mechanistic trait-based alternati

124 undances at the scale of ~4 billion distinct k-mers across 2585 datasets.

125 attachment network with degree distribution k(-lambda), where lambda = 3 for a large number of nodes

126 effects on any drinking and heavy drinking (k = 118 studies, 17 medications).

127 sampling while considering a weight for each k-mer; i.e. the higher the weight of a k-mer, the more l

128 ical (k = 9); e-health (k = 8); educational (k = 4); peer-led (k = 5); breathing re-training (k = 1).

129 ons of a significant kinetic isotope effect (k(H) /k(D) =5.7) for the reactions of diphenyl ether und

130 its >1300-fold greater catalytic efficiency (k (cat)/K(m) ) on histidine than on lysine.

131 -free assembly evaluation based on efficient k-mer set operations.

132 ess led to no significant increase in either k(f)(CK) (P=0.117) or ATP delivery (P=0.608).

133 V/k(B)T, with a logarithmic variation for eV/k(B)T > 1, variations in accordance with the results of

134 aling of the conductance as a function of eV/k(B)T, with a logarithmic variation for eV/k(B)T > 1, va

135 es that seemed to defy the quasi-exponential k(ch)(T) dependence.

136 ty feature sets were generated by extracting k-mer compositions and predicted protein domains.

137 tivation energy (E(a)) and frequency factor (k(0)) values were determined to be 45.9 x 10(3) kJ/kg-mo

138 e (TzB) intermediate that results from fast (k(2) : ~5000 m(-1) s(-1) ) and reversible conjugation of

139 hich displays the same activation energy for k(cat) as WT, as a control, we were able to further refi

140 gorithm for simplifying variation graphs for k-mer indexing without losing any k-mers in the haplotyp

141 8, the rate constant of Y(32)(*) formation (k(PCET)) increases by one order of magnitude per pH unit

142 dent HDX-MS profiles into contributions from k(ch)(T), as well as local and global protein dynamics.

143 ignment-free, stochastic models derived from k-mer distributions representing reference genome sequen

144 Gapped k-mer kernels with support vector machines (gkm-SVMs) ha

145 nd scalable algorithm for calculating gapped k-mer string kernels.

146 For given k and w, little is known about asymptotically optimal mi

147 nsory (color)) > k(non-enzymatic browning) > k(vitamin C) > k(antioxidant capacity) > k (sensory (ove

148 > k(non-enzymatic browning) > k(vitamin C) > k(antioxidant capacity) > k (sensory (overall)) > k(tota

149 ) > k(vitamin C) > k(antioxidant capacity) > k (sensory (overall)) > k(total phenolics) > k(gingerols

150 s showed following order: k(beta-carotene) > k(sensory (color)) > k(non-enzymatic browning) > k(vitam

151 der: k(beta-carotene) > k(sensory (color)) > k(non-enzymatic browning) > k(vitamin C) > k(antioxidant

152 ioxidant capacity) > k (sensory (overall)) > k(total phenolics) > k(gingerols), resulting in multiple

153 k (sensory (overall)) > k(total phenolics) > k(gingerols), resulting in multiple cutoff criteria and

154 n film and changes its magnetic anisotropy H(k).

155 The change in H(k) in-turn results in a 90 degrees rotation of the magne

156 a significant kinetic isotope effect (k(H) /k(D) =5.7) for the reactions of diphenyl ether under H(2

157 /c, H2K(d), I-A(d)) or third-party (C3H, H2K(k), I-A(k)) cardiac grafts.

158 types were psychological (k = 9); e-health (k = 8); educational (k = 4); peer-led (k = 5); breathing

159 Consequently, a high k(RISC) of 2.36 x 10(6) s(-1) with an emission peak of 4

160 Higher k(d) was observed in SEW than in PB.

161 % vs 70.91%), but they showed faster (higher k) in vitro starch hydrolysis (0.0140 vs 0.0050) with lo

162 he metastatic nodes had significantly higher k(3) (p value = 8.8 x 10(-8)) and K(i) (p value = 5.3 x

163 rate, r(0), and rate constant of hydrolysis, k(h), and enzyme inactivation, k(d).

164 ain as reflected by significant increases in k (E,brain) (from +26% to +54% relative to baseline).

165 ivity) and (iii) improvements are present in k(cat) rather than just in K(M), suggesting adaptive sol

166 f hydrolysis, k(h), and enzyme inactivation, k(d).

167 disrupts the closed conformation to increase k(off), the disulfide in M88 stabilizes the closed confo

168 off is more severe (20- to 35-fold increased k(cat)/K(M) in arylesterase with 60-400-fold decreases i

169 icient reduction of this disulfide increases k(off) 19,000-fold, thus creating a reversible redox-dep

170 mploy an alternative approach for increasing k(inact) of a lysine-targeted covalent Hsp90 inhibitor,

171 We used polarity-insensitive k-means clustering to segment resting-state high-density

172 ty towards ALP with negligible interference (k(sel) << 1; n = 3) due to coexisting molecules.

173 face, a lower limit for the rate constant is k = 1.2 x 10(-9) cm(3).molecule(-1).s(-1).

174 y (OCP) to measure enzyme turnover kinetics, k(turn).

175 mitochondrial genome, known as kinetoplast (k) DNA, composed of mutually catenated maxi- and minicir

176 ng three machine learning algorithms (LASSO, k-nearest-neighbors, and deep-neural-networks), two gene

177 rk in a maximal set of nodes having at least k neighbours within the set, known as [Formula: see text

178 alth (k = 8); educational (k = 4); peer-led (k = 5); breathing re-training (k = 1).

179 It is parameterized by the k-mer length k, a window length w and an order on the k-mers.

180 librium, Quantal Response Equilibrium, level-k cognition, fictitious play, reinforcement learning, se

181 group at posttreatment for quality of life (k = 6; n = 401; SMD = 0.33, 95% CI -0.01 to 0.66; p = 0.

182 es were substituted into the correlation log k(2)(20 degrees C) = s(N)(N + E) to determine the electr

183 constants k(2) followed the correlation log k(2)(20 degrees C) = s(N)(N + E), where electrophiles ar

184 We applied longitudinal k-means clustering to derive exacerbation trajectories a

185 te to design and demonstrate an APD with low k-value.

186 The 6 ML SL exhibits even lower k-value than the 8 ML SL, indicating that the shorter pe

187 that the shorter period of the SL, the lower k-value as predicted.

188 The shorter period of SL shows the lower k-value.

189 major dithionite oxidation product, lowered k(SA) in type II system by ~10-fold via at least two mec

190 proaches including logistic regression (LR), k-nearest neighbor (k-NN), support vector machine (SVM),

191 pproximately constant at small voltages (V < k(B)T/e), while at larger voltages it increases logarith

192 ope of radioactivity washout from the lungs (k (E,lung)) was 70% lower in Abcc1 ((-/-)) rats, whereas

193 03 dm(3) mol(-1) s(-1)) and UV measurements (k = 0.053 +/- 0.001 dm(3) mol(-1) s(-1)).

194 olaron pairs: k(S,s) = (44.59 +/- 0.01) MHz, k(T,s) = (43.97 +/- 0.01) MHz, and the recombination rat

195 h leaf labeled by a string of length at most k, and a binary string alignment function (x), an implie

196 time-resolved volumetric cardiovascular MRI k-space data, without a significant loss in data quality

197 ogistic regression (LR), k-nearest neighbor (k-NN), support vector machine (SVM), random forest (RF),

198 to both free nitric oxide and nitrosothiols (k (inact)/K(I) >= 5 m(-1) s(-1)), which is the first rep

199 le to that determined from thermal (1)H NMR (k = 0.050 +/- 0.003 dm(3) mol(-1) s(-1)) and UV measurem

200 Enzyme turnover numbers (k (cat)s) are essential for a quantitative understanding

201 on for steady-state flux to an UME to obtain k(turn).

202 monotigs, which in a nutshell are groups of k-mers of similar abundances.

203 orks (yielding a "U-shape" in a histogram of k-shell occupancy) provide resilience against both local

204 onstruction would have an elevated number of k nearest neighbors (kNNs).

205 o supports exact presence/absence queries of k-mers.

206 ring, with the guarantee that similar set of k-mers will be chosen on similar strings.

207 egeneracies residing in the complex space of k.

208 Computing the uniqueness of k-mers for each position of a genome while allowing for

209 ges that maintain tropical and oligotrophic (k-strategist) signatures, to seasonally displace more co

210 It is based on k-fold cross-validation algorithm, but in contrast to co

211 memristors enable weight assignment based on k-means clustering, which offers greater computing accur

212 ferred sequences into input vectors based on k-mer counts.

213 ferent mutations had differential effects on k (cat) and K (0.5) for catalysis, K (0.5) for substrate

214 urable binding affinity at the u-, delta- or k-opioid receptors.

215 d related parameters showed following order: k(beta-carotene) > k(sensory (color)) > k(non-enzymatic

216 Originally k-mer based, such tools often lack sensitivity when face

217 gh occupancy of nodes in the inner and outer k-shells and low occupancy in the middle shells of finan

218 recombination rate for singlet polaron pair k(S,r) = (88 +/- 6) MHz.

219 rates for singlet and triplet polaron pairs: k(S,s) = (44.59 +/- 0.01) MHz, k(T,s) = (43.97 +/- 0.01)

220 constant (K (trans)) and washout parameter (k (ep)) derived from DCE MRI were compared before and af

221 With derived Phi, k((*)OH/PAA) and k(HO(2)(*)/PAA), the kinetic model accu

222 Interventions types were psychological (k = 9); e-health (k = 8); educational (k = 4); peer-led

223 bility, proportional recovery coefficient r (k) , time constant in weeks tau (k) , and distribution o

224 hotothermal induced kinetic changes, raising k(o') from 1.1 x 10(-8) m/s to 2.2 x 10(-7) m/s.

225 f mutagenesis and selection, thereby raising k(cat)/K(m) 270-fold to 5 x 10(5)m(-1)s(-1), which is ev

226 nment tools, ranging from ultra-fast low-RAM k-mer-based database search to fully exhaustive gapped D

227 We implemented this with rapid k-mer matching, which, when used on Oxford Nanopore MinI

228 tituent lowers the force required for rapid (k(open) ~10(2) s(-1)) ring opening to ca. 900 pN, vs 130

229 re length (chi(beta)) and dissociation rate (k(off)) are extracted using the model by Friddle, De Yor

230 d that the lower membrane dissociation rate (k(off)) of Rok at the tissue boundary with low Crumbs ex

231 Inter-rater k agreement was used to determine the strength of agreem

232 Moreover, we determined association rates (k(on)) and dissociation rates (k(off)), as well as NAM a

233 Association rates (k(on)) are also provided, and an estimation of the disso

234 caled to whole body biotransformation rates (k(B)) were compared against in vivo k(B) estimates.

235 from low reverse intersystem crossing rates (k(RISC) ) with emission peaks <470 nm.

236 iation rates (k(on)) and dissociation rates (k(off)), as well as NAM affinities with [(3)H]methoxy-PE

237 nits were nonviable as CO(2)-fixation rates (k (cat) (c)) were reduced >95% and CO(2)/O(2) specificit

238 we find that using average homo-FRET rates (k(FRET)), average fluorescence lifetimes (tau), and aver

239 The rates (k) of NH(3)(g) sorption and desorption were fastest for

240 Raw k-space data of 24 patients (18 men and six women; mean

241 termine the rate constants of HAT reactions (k(H)), but no radical clock is available to measure the

242 measure the rate constants of PRA reactions (k(add)).

243 e of signaling by agonist-occupied receptor (k(tau)), simply the rate of signal generation before it

244 ed the initial rate of arrestin recruitment (k(tau)), a biologically-meaningful kinetic drug efficacy

245 CI = 1.24 to 5.15, p = 0.01) and remission (k = 3, OR = 1.84, 95% CI = 1.32 to 2.57, p < 0.001) rate

246 Furthermore, response (k = 3, odds ratio (OR) = 2.53, 95% CI = 1.24 to 5.15, p

247 or growth kinetics (Psi=Aexp[-(E(A) -E(s) )/(k(B) T)]) is proposed to address the surface energy and

248 Minimizers are methods to sample k-mers from a string, with the guarantee that similar se

249 sity, which measures the sparsity of sampled k-mers.

250 constructing a network based on their shared k-mer content.

251 s with the following apparent specificities (k (cat)/K (M)): propyl > ethyl > methyl > guaiacol.

252 duced changes of the chemical labeling step (k(ch)) from thermally enhanced protein fluctuations.

253 (k=40) and observational treatment studies (k=40), outcome measures most often assessed core FND sym

254 s implemented in C++ to compute supermaximal k-mismatch repeats directly, and show that these element

255 nificant improvement in depressive symptoms (k = 7, Hedges' g = 0.44, 95% confidence interval (CI) =

256 e most effective for reducing PTSD symptoms (k = 17; n = 1,077; mean difference = -37.95, 95% CI -60.

257 fficient r (k) , time constant in weeks tau (k) , and distribution of the initial FM-UE scores.

258 It is 6.8-times more accurate than k-mode, a previously developed clustering algorithm for

259 We also showed that k(max) could be estimated from long-term climate, with i

260 Our analysis shows that k-gram statistics with visibility graph motifs produce f

261 The k(ex) values were measured as a function of temperature

262 The k(H) rate constants gave good linear Hammett correlation

263 The k(tau) ratio values were in good agreement with bias est

264 It is parameterized by the k-mer length k, a window length w and an order on the k-

265 e EC classification and annotation; (ii) the k-mer-based tools (including PPR-Hotpep, CUPP and eCAMI)

266 Nubeam includes the k-mer method as a special case, but unlike the k-mer met

267 Based on the temperature dependence of the k(ex) values, we find that MN19 is more dynamic than MN4

268 s efficient algorithm is an extension of the k-means algorithm and can be used with any type of categ

269 ractions by studying the distribution of the k-shell of the underlying network.

270 gth k, a window length w and an order on the k-mers.

271 ral orders of magnitude more slowly than the k (cat) The presence of substrate enhanced C4a-hydropero

272 occurred with a rate constant similar to the k (cat) The structure of AsFMO complexed with FAD at 2.0

273 mer method as a special case, but unlike the k-mer method, it is convenient for Nubeam to account for

274 dition, Fluxer can compute and visualize the k-shortest metabolic paths between any two metabolites o

275 ated analyses is genome profiling, where the k-mer frequencies within raw sequencing reads are analyz

276 This is consistent with the k(ex) values for MN19 decreasing in both stem 1 and at t

277 This phenomenon is likely to explain the 'k-hole', a state of oblivion likened to a near death exp

278 present a fast method GenMap to compute the (k, e)-mappability.

279 These k-mers represented the characteristic motifs (in the for

280 reduction methods, SkSES identifies the top k genomic variants in a cohort quickly, accurately and i

281 4); peer-led (k = 5); breathing re-training (k = 1).

282 dent at glassy carbon and gold transducers - k(o) (standard heterogeneous rate constant) was 2.56 x 1

283 Across randomised controlled trials (k=40) and observational treatment studies (k=40), outcom

284 r by KPC-4 resulting from enhanced turnover (k(cat)), rather than altered K(M) values.

285 On one hand, binding (k'(on)) and unbinding (k(off)) rate constants were extracted from (1)H-(1)H exc

286 Unsupervised k-means clustering was performed to define disease endot

287 with inactive control at 6-month follow-up (k = 10; n = 738; SMD = -0.45, 95% CI -0.82 to -0.08).

288 inhibitor of Sporosarcina pasteurii urease (k(inact)/K(I) = 10 420 s(-1) M(-1)).

289 nd memory costs compared to methods that use k-mers.

290 Massachusetts, and Cincinnati, Ohio, we used k-means clustering and principal component analysis to i

291 ata with much higher precision than in vitro k (cat)s.

292 cs with fluxomics data, we find that in vivo k (cat)s are robust against genetic perturbations, sugge

293 The results demonstrate that in vivo k (cat)s can solve the problem of inconsistent and low-c

294 ic models, we show that the obtained in vivo k (cat)s predict unseen proteomics data with much higher

295 e a data-driven approach to estimate in vivo k (cat)s using metabolic specialist Escherichia coli str

296 n rates (k(B)) were compared against in vivo k(B) estimates.

297 O(*) and NO(2) scavenging activity in water (k(overall)(HOO(*)) = 1.53 x 10(8) M(-1) s(-1) and k(over

298 f of K(i) = 5.3 x 10(-3) mL/cm(3)/min, while k(3) and volume had accuracy of 0.94 (sensitivity = 0.82

299 circRNA datasets when compared with XGBoost, k-nearest neighbor, support vector machine, random fores

300 The reactive-transport model yielded k(obs) values between 9.16 and 33.3 min(-1), which were