ライフサイエンスコーパス: model for

1 Prediction models for 25(OH)D are challenging and population-specif

2 cally intuitive current injection efficiency model for a GaN:Eu quantum well (QW) has been developed

3 Here, we have generated a zebrafish model for ACR neurotoxicity by exposing 5 days post-fert

4 We incorporated a model for acylfulvene adducts, the stable 3-deaza-3-meth

5 e on the potential for organoids to serve as models for aging and describe how current organoid techn

6 Heterozygous Jagged1 knockout mice, a model for Alagille Syndrome (AGS), also display stapes a

7 a C3H/C57bl6 background to generate a mouse model for Alagille syndrome (Jag1(Ndr/Ndr) mice).

8 Hypothetical bypass modeling for all transferred patients suggested that int

9 We present appropriate linear mixed models for all designs and develop effect size measures.

10 iods in the hierarchical logistic regression models for all of the risk groups.

11 on studies and exploration of new biological models for allelic exclusion in the human genome.

12 ectrophysiological phenotypes for C. elegans models for amyotrophic lateral sclerosis and Parkinson's

13 This article describes the mathematical model for an immunochromatographic assay for the detecti

14 We generated random-effects models for analysis and evaluated for publication bias.

15 This system provides a model for any DNA-binding protein that can be posttransl

16 The currently accepted model for AOB metabolism involves NH3 oxidation to nitri

17 write-up of mediation analysis results as a model for applied researchers.

18 e plants are regarded as potential miniature models for aquatic ecology, but detailed investigations

19 odynamic therapy (PDT); and more recently as models for aromaticity (both Huckel and Mobius).

20 c kidney disease (CKD) represents an extreme model for arteriosclerosis, vascular calcification, and

21 Here we present a model for assembly of one type of RNA granule based on e

22 f topical therapeutics, we need an efficient model for assessing different formulations and concentra

23 Using animal models for autoimmune type 1 diabetes (T1D), we found th

24 e observations led us to propose a metabolic model for autotrophic growth by Ca. P. anaerolimi whereb

25 is not a standard broadly used mathematical model for bacterial populations growing in colonies in t

26 We advanced LUR models for benzene, toluene, ethylbenzene, p-xylene, m-x

27 We demonstrate that a computational model for beta oscillations in Parkinson's disease (PD)

28 urgent need for more ecologically realistic models for better predicting the effects of climate chan

29 tric recognition of Env trimer and a binding model for BG1 recognition of V1V2 involving glycan flexi

30 A simple model for biased partitioning predicts a population stru

31 Heterodimer Partner double knockout mice, a model for bile acid overload, display cardiac hypertroph

32 ure that remains within the framework of the model for binding to ssDNA.

33 nalytical chemists and modellers to identify models for biochemical transformation pathways, being a

34 of the graphene-electrode was explored as a model for bioelectrocatalysis.

35 utation (ClockDelta19) are used as an animal model for bipolar disorder (BD).

36 and are frequently used in preclinical mouse models for both mechanistic studies and screening of new

37 We also advance a new model for Ca(2+) transport by the enamel organ.

38 ot improve discrimination in risk prediction models for CKD progression and all-cause mortality compa

39 We successfully validated it as a model for classical OI.

40 nt a generic method based on a probabilistic model for clustering this type of data, and illustrate i

41 oviding metabolic support of our mechanistic model for colibactin-induced genotoxicity.

42 ental data, when coupled with a mathematical model for collective migration, shows that intracellular

43 s support the application of risk prediction models for colon cancer to CRC.

44 ltimeric oxo-hydroxo Al clusters function as models for common mineral structures and reactions.

45 We build a polygenic model for complex traits that distinguishes candidate tr

46 e antagonizes drebrin function, suggesting a model for control of the microtubule-actomyosin interfac

47 We also recommend choosing a pooling model for conventional meta-analyses (fixed effect or ra

48 the principles described here may serve as a model for culture of other viruses that are resistant to

49 cycloarenes have been suggested to serve as models for defects in graphene.

50 adenocarcinomas are shown to be an excellent model for defining the impact of selected ferrociphenols

51 A bivariate model for diagnostic meta-analysis was used to attain ov

52 inato complex ((Ad) L)FeCl(OEt2 ) provided a model for diastereoinduction and allowed for systematic

53 A competing-risk model for disease complications was derived and validate

54 In a well-characterized mouse model for DM1 (HSALR mice), activation of AMPK signaling

55 We use an accurate coarse-grained model for DNA and stochastic molecular dynamics simulati

56 The majority of breast cancer models for drug discovery are based on orthotopic or sub

57 We used DAT-KO mouse as model for DTDS to explore the potential utility of a nov

58 We constructed a model for each subject characterizing bets on each trial

59 We developed urinary metabolite models for each diet and identified the associated metab

60 and biomarkers into Cox proportional hazards models for each outcome.

61 were performed after acquiring digital cast models for each restoration methods.

62 In separate models for each time-updated 12 month lagged, 24 month s

63 McHugh et al. (2017) develop humanized mouse models for EBV/KSHV co-infection and identify their comp

64 del of cryptosporidiosis, but a more refined model for efficacy is needed.

65 studies validate the utility of the Lu-iPSC model for elucidating epigenetic mechanisms contributing

66 shock (HR = 1.895, 95% CI: 1.081-3.323) and model for end stage liver disease (HR = 1.054, 95% CI: 1

67 LT indication was defined as DC if the Model for End-Stage Liver Disease (MELD) at WL was >/=15

68 h hepatocellular carcinoma (HCC) can receive Model for End-Stage Liver Disease (MELD) exception point

69 s highest and recipients frequently attain a Model for End-Stage Liver Disease (MELD) score of 40 or

70 Model for End-Stage Liver Disease (MELD) score transient

71 ive study, adult patients with cirrhosis and Model for End-Stage Liver Disease (MELD) score within 3

72 on expression patterns of 123 genes and the model for end-stage liver disease (MELD) scores to assig

73 ths at risk), but the Lille (P < 0.0001) and Model for End-Stage Liver Disease (P < 0.0001) scores we

74 s of mortality following recurrence included model for end-stage liver disease at LT >23, time to rec

75 ed with SLK transplants by 0.99 years in the Model for End-stage Liver Disease era and 1.71 years in

76 Liver Disease era and 1.71 years in the pre-Model for End-stage Liver Disease era.

77 C a C20:4 were found in patients with higher model for end-stage liver disease in the same disease gr

78 There were no differences in Model for End-Stage Liver Disease including serum sodium

79 gical response rates, LT costs, and baseline Model for End-Stage Liver Disease score (DCC analysis on

80 E infection were acquisition of CRE post-LT, Model for End-Stage Liver Disease score greater than 32,

81 he factors used in Donor Risk Index with the model for end-stage liver disease score yields an AUC-RO

82 nic Liver Cancer stage D ( P < .001), higher Model for End-Stage Liver Disease Sodium scores ( P < .0

83 acidified hantavirus allows us to propose a model for endosome-induced reorganization of the hantavi

84 the University of California, Berkeley as a model for engaging undergraduates in biodiversity scienc

85 receptor CB2 (CB2(-/-)) mice were used as a model for enhanced B-cell responses.

86 ming hurdles to provide a range of potential models for ESCRT-mediated virus abscission.

87 We developed multivariable prediction models for estimating the risk of EOS among late preterm

88 we present the most detailed and precise age model for European loess dust deposits to date, based on

89 ZIKV vaccine development and provide a mouse model for evaluating anti-ZIKV CD8(+) T cell responses o

90 limitations of the HLA-DR4 transgenic mouse model for evaluating human C. trachomatis vaccine antige

91 In order to develop an animal model for evaluating vaccine antigens that can be applie

92 merges troponin testing into a clinical risk model for evaluation emergency department patients with

93 use of the newly described STAT2 KO hamster model for evaluation of promising antiviral therapies.

94 Ants provide an interesting model for examining body-size variation because of the h

95 crimination of which viscoelastic relaxation model, for example, standard linear solid (SLS) or power

96 Accuracy increased using multivariable models; for example, the Beck et al. classification AUC

97 The authors refined a model for exosporium assembly.

98 We propose a model for eye regeneration in which eye tissue productio

99 ts in silico that were used to build the PLS models for FA determination.

100 man amyloid precursor protein (hAPP mice), a model for familial AD that produces high brain levels of

101 ound in metalloproteins and are also used as models for Fe-O2 systems.

102 ocol with the aid of enumerated good-scoring models for five illustrative cases of binary protein com

103 esults were incorporated into a mathematical model for FMD, in a cattle herd, to evaluate the impact

104 germplasm resources make birch an attractive model for forest biotechnology.

105 LINSIGHT combines a generalized linear model for functional genomic data with a probabilistic m

106 ray et al. report an atomic-level structural model for FUS LCD fibrils that answers some questions an

107 elop in the HPT-JT syndrome, provide in vivo models for future studies of these tumours.

108 ling exosomes from an H-RasV12 myr-Akt mouse model for GBM are enriched for intracellular signaling c

109 We developed a new multivariable linear model for GFR using statistical regression analysis.

110 re refined, molecularly based classification model for glioblastoma (GBM) in the temozolomide era.

111 work, a three-dimensional continuum elastic model for gramicidin A in a lipid bilayer is shown to de

112 ium distachyon (Brachypodium) is an emerging model for grasses, no expression atlas or gene coexpress

113 bed, and analyzed by using linear regression modeling for group differences.

114 The existing risk assessment models for H9N2 viruses in ferrets may not always have a

115 ealth care policy that nurses should be role models for healthy behaviours assumes a causal relations

116 ond resolution, we derive a detailed kinetic model for Hel308 translocation along ssDNA that sheds li

117 ed MCORE to compare our experimental data to models for heterochromatin reorganization during differe

118 Models for HIV-related eligibility criteria in National

119 t is therefore necessary to use mathematical models for holistic studies.

120 Here we propose a new model for how these proteins can initiate autoimmunity.

121 We present models for how MRX-Sae2 creates entry sites for the long

122 transgenic mice are a valuable experimental model for human AF pathophysiology.

123 (Opn1mw (-/-)) expressing only S-opsin as a model for human BCM.

124 they have been proposed as a natural animal model for human epilepsy.

125 parasite Plasmodium berghei has served as a model for human malaria transmission studies and played

126 These data provide a model for human patients with germline loss-of-function

127 tratesticular testosterone, and is used as a model for human testicular dysgenesis syndrome (TDS).

128 made it feasible to create nonhuman primate models for human genetic disorders.

129 uman primates, which are typically used as a model for humans.

130 Here, we used the C. elegans germline as a model for identifying molecular mechanisms regulating in

131 Our work provides a unifying model for IDH-mutant gliomas and a general framework for

132 egans) is a versatile and widely used animal model for in vivo studies of a broad range of human dise

133 s a simple modification to improve microbial models for inclusion in Earth System Models.

134 The presented models for individual eco-regions provide insights on th

135 assay is an efficient first-phase screening model for inflammation, and a guiding tool in developmen

136 evaluated the microminipig as a novel animal model for influenza A virus infection.

137 These results support the unique, dual model for insect wing origins and the convergent reducti

138 responses, suggesting different connectivity models for intracortical and thalamocortical circuits.

139 erived in 1977, and the kinetic theory-based model for intraoligomeric FRET, derived in 2007.

140 ese results comprehensively describe a mouse model for investigating E faecalis wound infection deter

141 ) telomerase RNA template mutants) provide a model for investigating pathogenesis.

142 epair networks, and establish nematodes as a model for investigating the repair and consequences of D

143 mbryonic stem (ES) cells and serve as useful models for investigating cellular differentiation and hu

144 ant need to develop physiologically relevant models for investigating human astrocytes in health and

145 icroscopy enabled me to propose a structural model for its quaternary structure.

146 We developed a baboon model for IUGR studies using a moderate 30% global calor

147 tive dynamics follow the trends suggested by models for jamming.

148 and MLN8054 simultaneously and provide a new model for kinase conformational behavior.

149 e, we use a different approach: we propose a model for language dynamics based on the principles of c

150 pus is the most extensively studied cellular model for learning and memory.

151 Surprisingly, in contrast to the prevailing model for LIS1 function established in the context of dy

152 ur types) is limited by the paucity of mouse models for live imaging of distal pre-metastatic niches.

153 orpholinobacteriochlorins are thus excellent models for localized bacteriochlorin chromophore deforma

154 In a previously established Drosophila heart model for long-term hypoxia exposure, we found that hypo

155 Analyses were by linear mixed models for longitudinal data.

156 This model for lymphatic TEM for various migrating and endoth

157 LGE presence was added to the multivariable model for MACE.

158 ically relevant cardiac tissue-like in vitro models for mechanistic biological research, disease mode

159 Here we study, to our knowledge, a new model for medical device infection-that of an infected f

160 widely recognized as the premier plant cell model for membrane transport, signaling, and homeostasis

161 oxide environment, and provides a molecular model for Mn-doped cobalt oxides.

162 ntial may be utilized as a potential optimal model for monitoring treatment response.

163 s the thymus and establish a novel infection model for MRV in B6 mice, providing the foundation for d

164 The results support a model for multiple myeloma progression with clonal sweep

165 Such behavior agrees with common theoretical models for nanoparticle dielectrophoresis.

166 s of noise and noise spectrum within generic models for non-, weakly and strongly interacting systems

167 We propose a model for NSAID-induced damage to the gastrointestinal t

168 e research should expand on emerging payment models for nurse-specific tasks.

169 of particulate nitrate photolysis in future models for O3 and for the photolysis rate of particulate

170 non-human primates (NHPs) is a common animal model for ocular drug development.

171 We used mixed-effects regression models for ordered-categorical outcome variables to comp

172 e addressed these challenges and can provide models for other institutions attempting to enhance thei

173 onwide, these recommendations could serve as models for other states.

174 ptomes in arrested cells with a flux balance model for P. tricornutum predicts that reactions in the

175 s, our studies, which have established mouse models for parathyroid tumours and uterine neoplasms tha

176 ) mouse model is the most widely used animal model for Parkinson's disease (PD), it is known that nig

177 infection in rhesus monkeys could serve as a model for persistent EBOV infection in humans, and we de

178 and propose the first eIF4E-eIF4G structural model for plants.

179 We introduce a source-sink diffusion model for polarization transfer which is capable of expl

180 Our findings overturn existing models for Polycomb recruitment by Xist RNA and establis

181 in Nature, Scheele et al. (2017) establish a model for post-pubertal mammary branching morphogenesis

182 = 0.77) was superior to other published risk models for postoperative CVD morbidity and mortality, an

183 c regression analysis to identify a best-fit model for predicting IA.

184 The meta-interactome serves as a model for predicting interactions, protein functions, an

185 s, we developed a global network random walk model for predicting lncRNA-disease associations (GrwLDA

186 A multiparametric sequence-specific model for predicting peptide electrophoretic mobility ha

187 Macroecological models for predicting species distributions usually only

188 position of carrots and to build statistical models for prediction purposes.

189 t on prion propagation, we developed a novel model for prion infection where cells expressing either

190 To compare different intervention models for promoting male circumcision (MC) to prevent H

191 or heterogeneity in a 38-dimensional network model for prostate cancer, and provide a new strategy on

192 in the prostate-specific Pten deletion mouse model for prostate cancer.

193 The best model for PUFA was obtained for region 4000.12-650.15 us

194 The current dominant model for radiologist performance improvement is scoring

195 n conducted and the expressive power of such models for real human subjects remains unknown.

196 We present a model for RecN function that includes presynaptic stimul

197 structured samples and points to appropriate models for recovering accurate chemical information from

198 ids in activating the transporter supports a model for regulation within the highly dynamic membranes

199 xors as "hopeless messes", and no predictive model for relaxor behaviour is currently available.

200 6 and 12), which used a linear mixed effects model for repeated measures and represented the mean tre

201 receipt of study drugs with a mixed-effects model for repeated measures.

202 increasingly complex competing mixed-effects models for repeated measures.

203 can be applied to any of the existing mouse models for retinal disorders and may be valuable for doc

204 ere applied to develop an optimal regression model for rice amylose determination.

205 First, we introduce a graph theory model for river networks and explore the properties of t

206 wledge-based, and experimental data-directed modeling for RNA structures and explore the new theories

207 resemblance to those proposed in theoretical models for rodent head direction cells.

208 The model integrates the "conventional" model for SB-FETs with the phenomenon of contact gating

209 ed interest not only in inflammation-related models for schizophrenia pathogenesis, but also in neuro

210 t the suitability of the developed zebrafish model for screening of molecules with therapeutic value

211 nteraction and 95% confidence intervals were modeled for separate and joint prediction estimates, res

212 sor, linker and kinase modules and different models for SHK signal transduction have been proposed.

213 y our lab, we sought to develop a predictive model for site selectivity and extend this aryl function

214 We built three linear regression models for slaughter age by weight and different measure

215 Finally, we describe a revised integrative model for sleep/wake regulation.

216 A continuum model for species transport is combined with a microkine

217 e developed and applied a novel mathematical model for SPR data treatment that enables determination

218 spects: ensemble growth statistics following models for step-growth polymerization, with nanoparticle

219 egulation across different cell types and as models for studies of complex disease.

220 little in the past three decades, and better models for study are needed.

221 The adult zebrafish is a well-established model for studying heart regeneration, but due to its ti

222 We have generated a single, in vivo model for studying multiple pathogenic mutations in ATP7

223 ) in the MCF10A cell line, an important cell model for studying oncogenic transformation in breast ti

224 Hermissenda crassicornis is a model for studying the molecular and cellular basis for

225 Here we describe a physiologically relevant model for studying the molecular determinants of radiati

226 he meiotic program, A. rhodensis is an ideal model for studying the plasticity of meiosis and how it

227 This order represents a promising model for studying this enigmatic mode of sex determinat

228 late subduction, contrasting with prevailing models for subduction seismogenesis calling for fluid pr

229 We used stepwise modeling to generate a model for subphenotype identification in FACTT and valid

230 supported the alternating access transporter model for sugar transport by confirming at least four GL

231 ondition necessary for the "flat/steep" band model for superconductivity is satisfied in O-doped Y2 O

232 Yeast is a powerful model for systems genetics.

233 the skin, we have generated transgenic mouse models for tamoxifen-inducible de novo expression of Ags

234 esponses of both processes can be accurately modeled for temperate regions in the future using a sing

235 This provides a model for 'temperature-independent' efficient TT formati

236 ast U1 snRNP at 3.6 A resolution with atomic models for ten core proteins, nearly all essential domai

237 We now highlight the potential of this model for testing disease-modifying agents and show that

238 a review of existing data and present a new model for the assembly of the HIRA complex and for the H

239 addition to being a high fidelity structural model for the biological cofactor, the complex is shown

240 es transport is combined with a microkinetic model for the cathode reaction dynamics.

241 Our results provide a new model for the CD23-IgE interaction.

242 We show that Zhang and Li's sedimentological model for the Chusang travertine neglects the three-dime

243 for the Abeta peptide and to a coordination model for the Cu(II) site within the Abeta peptide that

244 Kirkpatrick's four level model for the evaluation of training interventions was a

245 Spider silk synthesis is an emerging model for the evolution of tissue-specific gene expressi

246 is the source of this contrast and develop a model for the forward and epi-generated SHG wavelength-d

247 We provide a model for the genesis of Holocene coralligenous buildups

248 Based on these results, we propose a model for the ion translocation mechanism that explains

249 ose a highly accurate exome-based predictive model for the MSI phenotype.

250 this work, we have developed a protein-based model for the NiP center of acetyl coenzyme A synthase u

251 e then docked in silico to provide a generic model for the NOX family.

252 del with an earlier-derived crystallographic model for the planar assembly, the induction of curvatur

253 Here, we show that, in a mouse model for the polyglutamine disease dentatorubral-pallid

254 uA2 cytoplasmic tail, and suggest a distinct model for the regulation of AMPAR trafficking in synapti

255 We propose a new model for the regulation of dynein by Lis1.

256 letal TF by Ca(2+) and lead to a mechanistic model for the regulation of the cardiac TF.

257 asured surface charge and Gouy-Chapman-Stern model for the silica surface shows that the modification

258 We present a model for the structure and interactions of the head and

259 e, and they provide a fully penetrant animal model for the study of angiosarcoma development and meta

260 helial and mesenchymal stem cells-provides a model for the study of ectodermal organ renewal and rege

261 ing rare-earth pyrochlore oxides serves as a model for the study of geometrically frustrated magnetis

262 potent stem cells (hPSCs) provide a valuable model for the study of human development and a means to

263 rin alphaIIbbeta3 has served as an excellent model for the study of integrin biology, and it has beco

264 Interestingly, our biophysical model for the swimming dynamics of B. burgdorferi sugges

265 to this virus in humans is appropriate as a model for the T cell response to primary DENV2 infection

266 er and co-workers have proposed a structural model for the TatA oligomer in which TatA monomers self-

267 e developed a climate-driven R0 mathematical model for the transmission risk of Zika virus (ZIKV) tha

268 esent an applied domoic acid risk assessment model for the US West Coast based on combined climatic a

269 We recorded and quantitatively modeled for the first time the transient response of the

270 chemical descriptions with state-of-the-art models for the environment through the use of atomistic

271 expressing PcCL3 cells were used as cellular models for the evaluation of IDO1 expression in thyroid

272 ally defined oligosaccharides can be used as models for the glycans, to study processes such as cell

273 nce to the development of collaborative care models for the ICU setting.

274 nformatics pipeline exploiting Hidden Markov Models for the identification of nuclease bacteriocins (

275 s including confocal sections and 3D digital models for the larval, pupal and adult stage, allowed us

276 Using mutant mouse models for the most common form of congenital deafness i

277 ment by new nuclear factors are important in models for the origin of eukaryotes, especially as major

278 Cox models for the primary composite cardiovascular outcome

279 ome Metschnikowia species may provide useful models for the sexual cycles of Candida species.

280 ully demonstrated by employing the generated models for the successful, prospective optimization of c

281 es on the megaplasmid, BTA121 can serve as a model for their tertiary structures.

282 To establish a preclinical model for therapeutic inhibition of putative targets in

283 A physical model for this behavior involving a combination of tranv

284 (DAT-KO) mouse is currently the best animal model for this syndrome, displaying functional hyperdopa

285 This provides a simple model for tissue regeneration, implicating cellular repr

286 s, we developed a clinically-relevant animal model for TON using a novel ultrasonic pulse injury moda

287 s of our findings and analyses, we propose a model for transport mechanism where CmeB protomers funct

288 findings lead to a simple yet comprehensive model for TRAPPIII function in both normal and starved e

289 an-cancer diagnosis system, and a prediction model for treatment outcomes.

290 tumor rejection, we assessed different mouse models for Treg depletion.

291 In addition, we generated a knocked-out cell model for ts-101 and ts-46 in HEK-293 cells and found si

292 Here we present a fitness model for tumours based on immune interactions of neoant

293 al transmission routes and parameterized the model for two different climatic seasons.

294 ly of yeast U6 snRNP in vitro, and propose a model for U6 snRNP assembly.

295 This paper provides a new model for understanding staff intervention in response t

296 1, and Dec 31, 2008, we developed predictive models for violent offending (primary outcome) within 1

297 inding particles (condensers) are studied as models for viruses containing double-stranded DNA (polym

298 nce, we introduce a probabilistic generative model for vision in which message-passing-based inferenc

299 Contrary to the prevailing model for vRNA packaging, NP does not bind vRNA uniforml

300 Model of Health Services Use and Behavioral Model for Vulnerable Populations.