ライフサイエンスコーパス: model for

1 The risk-benefit profile was modeled for 1 to 10 years of bisphosphonate use to compa

2 We used a decision-analytic model for 1000 key workers to compare the baseline strat

3 ies as possible intermediate hosts or animal models for 2019-nCoV infections.

4 n analysis, and also to construct 3D protein models for 2b and 3a genotypes.

5 ese structures, we identify and build atomic models for 30 proteins, including 23 radial-spoke subuni

6 models explain data slightly better than PPM models for 314 tested TFs (or their DNA-binding domains)

7 pplied this framework to generate expression models for 43 human tissues from the Genotype-Tissue Exp

8 1,570 samples from 300 infants, we fit 7,865 models for 6 host phenotypes.

9 ning 145 high-resolution binding specificity models for 86 RBPs is the largest systematic resource fo

10 % confidence interval) for the combined PIRO model for 90-day mortality were 0.77 (0.73-0.80).

11 ariant detected in an mARHL case, as a mouse model for a monogenic form of presbycusis.

12 his question, we study a minimal but generic model for a nematic network in which filament sliding is

13 GCMs to run a continental-scale hydrological model for a process-based representation of mosquito bre

14 arbide unit {C-S}(4-) serves as a structural model for a proposed intermediate in the radical S-adeno

15 e, we propose a novel, coupled network-based model for a two-protein system that includes an enzymati

16 roves fitness by 70% and 77% over the random models for a discoidal or an ellipsoidal stem cell confi

17 incorporates the use of species distribution models for a reasoned estimation of the initial presence

18 imaging and Electronic Medical Record (EMR) models for a variety of applications, including clinical

19 naling molecules and a simplified mechanical model for actin cytoskeleton network competition.

20 Using a promising animal model for action tremor, our results thus characterized

21 nd secondary yellow fever immunization - the model for acute infection in humans - showing their larg

22 Current prediction models for advanced age-related macular degeneration (AM

23 We used a tobit model for Ae. aegypti larvae and pupae count data, type

24 discuss a transcriptional regulatory network model for AF defined by effector genes in Genome-wide as

25 The rhesus macaque is an important animal model for AIDS and other infectious diseases.

26 rior predictive power relative to gene-level models for all cancer types but had the advantages of ro

27 th an emphasis on their potential for use as models for allotransplantation, graft versus host diseas

28 ) a novel left-truncated mixture of Gaussian model for an accurate assessment of multimodality in zer

29 this paper we design a recursive bifurcation model for analyzing COVID-19 virus spread in different c

30 ANCE STATEMENT The mouse retina is a leading model for analyzing the development, structure, function

31 s these sites and provide a detailed working model for assembling the protein complex.

32 as to develop and test multiclass predictive models for assessing the invasiveness of individual lung

33 ictive performance with that of two existing models for augmented renal clearance.

34 FFMI models for B children showed higher values throughout.

35 The gradient boosting machine model for bacteremia had significantly higher area under

36 modified polymicrobial synergy and dysbiosis model for bacterial involvement in OSCC, with driver mut

37 Schwann cell (SC) cultures are irreplaceable models for basic and translational research but their us

38 This is the first human cellular model for beta-thalassemia providing a sustainable sourc

39 Multivariable generalized linear mixed models for binary outcomes were used to examine the rela

40 ternational groups contributed 91 predictive models for binding, agonist, and antagonist activity pre

41 l layers of hierarchy suggest a possible new model for biological control over crystal growth during

42 n model, which is the most commonly employed model for biological growth processes.

43 We used state-of-the-art models for both acute and chronic HBV infection to study

44 Our goal was to validate a new predictive model for BPD severity that incorporates respiratory ass

45 In conclusion, a new predictive model for BPD severity that incorporates respiratory ass

46 This finding provides molecular models for bulk Ag(3) PO(4) , and offers a fresh templat

47 These results provide the first working model for C-S bond formation in isopenicillin N synthase

48 The C3(hu/hu) mice are a useful model for C3G because they share many pathologic feature

49 These results support a structural model for Ca(2+) and CaNAbeta compartmentation in cells

50 ticulum (ER) Ca(2+) stores in this important model for Ca(2+) signaling remains obscure.

51 -derived xenografts (PDX) are tumor-in-mouse models for cancer.

52 rtunities in the application of microkinetic modeling for catalyst design.

53 for in our recently developed computational model for CB1R allosteric activation and positive allost

54 Prediction models for CCS and HILIC retention time for 22 and 23 li

55 In the rabbit model for CDH, the combination of maternal sildenafil an

56 ard pro-inflammatory mediators, presenting a model for cell chemotaxis that is calibrated against exp

57 ed with an existing equilibrium partitioning model for cell-based bioassays extended by an additional

58 lected from single cells to build predictive models for cell classification is demonstrated.

59 antia polymorpha has recently become a prime model for cellular, evo-devo, synthetic biological, and

60 ich plus (DES+) revision to the original TBM model for cerebral cortical expansion and folding.

61 limitation to note is that we were unable to model for changes in multimorbidity during our study per

62 model combines the class of Stochastic Block Models for community formation with Gaussian processes t

63 makes Spizellomyces a genetically tractable model for comparative cell biology and understanding the

64 atures, they represent a unique and powerful model for comparing molecular pathways involved in (a) m

65 We developed statistical models for completed cohort fertility at age 50 years (C

66 a new approach for neuroscientists to build models for complex behaviors, heterogeneous neural activ

67 A kinetic model for conditions relevant to chloramine disinfection

68 rabbit strain and, therefore, validated this model for conducting these experimental studies with hum

69 A recent popular model for copy number evolution is the copy number dista

70 hat excessive placental DNA damage in murine models for Cornelia de Lange syndrome results in an inef

71 ployment of generalized linear mixed effects models for correlated expression data.

72 led an international panel to develop animal models for COVID-19 to accelerate the testing of vaccine

73 These cell lines offer a model for CRC metastatic progression; SW480 derived from

74 tic suggestions on how to implement scalable models for critical care delivery, cultivate educational

75 Most of the established models for crystal growth are based on macroscopic therm

76 e best fit with quartic and cubic regression models for CT and FSSC/BSSC, respectively.

77 of AWAT2 and establish Awat2(-/-) mice as a model for DED syndrome that can be used in studies on te

78 We advocate the use of this model for denitrification in the activated sludge model,

79 s the development of a community-driven data model for describing environmental exposures and linking

80 , 0.86), respectively.ConclusionExpert-level models for detecting clinically relevant chest radiograp

81 ent Register, we fitted discrete-time hazard models for diagnosis of Crohn disease (CD) or ulcerative

82 flexibility of our structured and non-local model for different data generating scenarios and signal

83 upport the D2.mdx as a superior small animal model for DMD, as compared to the B10.mdx model.

84 edure, and selected and evaluated the "best" model for each water-quality variable, environment, and

85 up, sex, type of care, and type of payer and modeled for each year from 1996 through 2016.

86 atasets, negating the need to train separate models for each data type.

87 and H children were combined to produce FFMI models for each sex.

88 asite transmission to mosquitoes and develop models for early-clinical evaluation of transmission-blo

89 n extensively employed as a surrogate animal model for EHEC.

90 ized that a parsimonious model consisting of Model for End-Stage Liver Disease (MELD) and LA at admis

91 and recipients' disease severity, using the Model for End-Stage Liver Disease (MELD) in 8387 French

92 sted for "too sick." Our primary outcome was Model for End-Stage Liver Disease (MELD) score at waitli

93 Model for End-Stage Liver Disease (MELD) score-based liv

94 On multivariate analysis, high Model for End-Stage Liver Disease (MELD; odds ratio [OR]

95 Gut microbiome alterations correlated with model for end-stage liver disease and Child-Pugh scores

96 rformed analysis of covariance, adjusted for model for end-stage liver disease at time of hospital ad

97 ation should be given to awarding additional Model for End-Stage Liver Disease exception points to th

98 Among the 88 patients transplanted, median model for end-stage liver disease score at LT was 7 ((in

99 pecific and pan-allele-pan-length prediction models for endogenous peptide presentation.

100 Over the past decades, numerous models for ENSO prediction have been developed, among wh

101 mportant.Objectives: To develop a prediction model for estimating the probability of N0, N1, and N2|3

102 a primary substrate of AAG, and that current models for etheno lesion repair in humans should be revi

103 These findings establish a model for evaluating the propensity of swine IAV to tran

104 This enables us to postulate a novel model for evolution of miRNA precursors in sea anemones

105 Wing dimorphisms have long served as models for examining the ecological and evolutionary tra

106 Overall, these results support an iron-first model for Fe-S cluster synthesis and highlight the power

107 We develop a mathematical model for fitness landscapes generated by such tradeoffs

108 models to resolve PER from the chamber and a model for flow tunnel measurements were examined.

109 an studies that support a markedly different model for food reward.

110 Here, we detail three regional-scale models for forecasting and assessing the course of the p

111 We have developed a Monte Carlo model for FtsZ assembly that explains treadmilling, and

112 Our findings support a model for functional conservation of lncRNAs independent

113 risk factor for HCC and offers a novel mouse model for future investigations of nonviral or nonalcoho

114 an primates (NHPs) are an essential research model for gaining a comprehensive understanding of the n

115 his gap, we propose a simple, unifying mixed model for gene-environment interaction (GxEMM).

116 ide) cluster, which can serve as a molecular model for halogen-doped vanadium oxide (VO(2)) materials

117 opment and application of an RHV outbred rat model for HCV vaccine development.

118 plete feature set, we train machine learning models for health state-prediction in 35 human metabolom

119 indings establish the fly mushroom body as a model for homeostatic plasticity in vivo.

120 the grasping circuit, providing a potential model for how brain regions may coordinate during the vi

121 is currently much debate regarding the best model for how heritability varies across the genome.

122 We propose a new model for how individual pDCs are endowed to exert diffe

123 to reproduce this feature, a self-consistent model for how such a large-scale polygonal jet forms in

124 th cellular proteins and provide a potential model for how these interactions can template protein-pr

125 Recent studies have postulated two different models for how head direction (HD) cells encode 3D space

126 In ferrets, a model for human adaptation, a relatively stable HA prote

127 f rhesus monkeys is an important preclinical model for human immunodeficiency virus type 1 (HIV-1) va

128 canine (canis familiaris) is a growing novel model for human neuroscientific research.

129 cating that cattle may be a more informative model for human preimplantation development than mice.

130 zed the performance of single- and multi-SNP models for identifying causal genes in GWAS data for 46

131 ased framework implementing a popular ResNet model for image classification.

132 used Drosophila border cells, an established model for in vivo cell migration, to study how chemical

133 pectively, for a commonly used clinical risk model for incidental nodules.

134 rent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis) statement p

135 Yet, predictive models for infection are missing.

136 logical features, dogs have been proposed as models for INS research.

137 In the validation cohort, models for intubated pediatric acute respiratory distres

138 al divergence between species, and defines a model for investigating speciation and the evolution of

139 tion represents a unique naturally occurring model for investigating Tfh role in HIV/acquired immune

140 The results establish a zebrafish model for investigating the mechanisms of developmental

141 The gold standard small animal model for JUNV infection is the guinea pig.

142 umbers (Re) were estimated using birth-death models for large clusters that expanded >=2-fold from 20

143 l modeling to develop and validate a revised model for lipopolysaccharide (LPS)-induced macrophage ac

144 ions), we present a unifying dynamic bonding model for LnB(6) that explains simultaneously EuB(6) (po

145 d by age and site using generalised additive models for location, shape, and scale.

146 n generalized estimating equation regression models for longitudinal binary outcomes.

147 in per 1.73 m(2), or ESKD), and linear mixed models for longitudinal eGFR measures.

148 ition, together with the appropriate process modeling for low-volatility chemicals are warranted.

149 on discharge, and geriatric risk prediction models for major gastroenterological surgery were create

150 ngs we propose herein a generalized stepwise model for MCD/C5 and PENLs pathogenesis, whereby acquisi

151 els has the potential to revolutionize mouse modeling for melanoma.See related article by Bok et al.,

152 MSlambdaD) provides a realistic pH-dependent model for membrane proteins.

153 study reports the first cardiac cell culture model for MFS, revealing abnormalities in the behavior o

154 Metabolic-modeling, using a novel model for MG1655 and continuous weighing factor that ref

155 Consumer Resource Model (MiCRM) - a minimal model for microbial communities with resource competitio

156 se findings highlight the promise of minimal models for microbial ecology.

157 easure was derived using convex optimization modeling for microstructure informed tractography (COMMI

158 We present an ADM-based mixture model for monomeric and dimeric TF-binding motifs and an

159 eparate meta-analyses using a random-effects model for mortality and hospital admissions for a specif

160 utoimmune encephalomyelitis (EAE), an animal model for MS.

161 animal studies of genetic and environmental models for NDs that investigate how manipulations of the

162 vity of real neuronal circuits, we present a model for neural codes that accurately estimates the lik

163 In vitro and in vivo models for NLRP1 activation were applied to investigate

164 e present a new genetically engineered mouse model for non-AR-driven prostate cancer that centers on

165 icating-transcribing holo-RdRp, constraining models for nsp13 function.

166 The structure provides a model for nucleic acid/amyloid co-assembly as well as in

167 Multivariable models for odds to complications and prolonged (>=6 days

168 2)) are proposed for use in AOPWIN, a common model for OH radical rate constant estimations.

169 theory based on a simplified one-dimensional model for OHCs.

170 a valuable addition to sparse deep learning models for omics data.

171 We investigate the three-state majority-vote model for opinion dynamics on scale-free and regular net

172 se values cannot be explained with classical models for optical outcoupling.

173 Our study can serve as a model for other countries aiming to achieve the WHO HCV

174 Identifying unambiguous atomic models for oxyfluorides, needed for materials design and

175 e used to identify parameters of a numerical model for oxygen consumption and diffusion.

176 MVH provide a model for PD outcomes to improve quality and access for

177 e of dermal fibroblasts isolated from DPs as models for PDK4 deficiency and have shown activation of

178 at the mother cell cortex, suggesting a new model for peroxisome retention.

179 State-of-the-art predictive models for phenotype predictions from metagenomic data r

180 e years, we fit parameters for a state-space model for population growth.

181 we also constructed a genome-scale metabolic model for Populus trichocarpa, the first for a perennial

182 structions (SBO) and to develop a prediction model for postoperative mortality for MaSBO.

183 s are extremely useful for forming a general model for predicting physical properties of complex mate

184 rent machine learning approaches to generate models for predicting different classes of kinase inhibi

185 We then developed bi- and multivariate models for predicting half-lives in soil by regressing t

186 l slides (whole-slide imaging; WSI) to build models for predicting survival of patients with HCC trea

187 We established QSAR models for prediction of MeONP-induced inflammatory pote

188 Boost, LightGBM) to commonly used regression models for prediction of undiagnosed T2DM.

189 A Cox model for predictors of time-to-incident visual field (V

190 We optimized classification models for preoperative Computed Tomography (CT), Magnet

191 nd affects the reproducibility of predictive models for preoperative detection of MVI in HCC.Suppleme

192 osophila spermathecal lineage is an exciting model for probing the molecular mechanisms that modulate

193 Four predictive models for progression to late AMD or atrophic AMD were

194 However, genetic evidence in mouse models for prostate cancer to support the crucial role o

195 aims to develop and validate a multivariate model for quantifying Robusta-Arabica coffee blends by c

196 2-mer of chondroitin-4-sulfate, suggesting a model for receptor binding.

197 the establishment of choanoflagellates as a model for reconstructing the origin of their closest liv

198 se NUP98-fusion proteins, we developed mouse models for regulatable expression of NUP98/NSD1, NUP98/J

199 In the context of a theoretical model for regulation of Chlamydomonas multiple fission,

200 shift in resources has created a complex new model for reinvestment in the medical community in which

201 This restricts the number of possible models for repeat expansion and supports the idea that M

202 ased structural pattern (GSP) as an abstract model for representing protein-ligand interactions.

203 Separate models for respective comparators resulted in hazard rat

204 her highlight the strengths of mixed-effects modeling for reviving a conceptual cornerstone of dendro

205 or characteristic of the disease, which is a model for ribosomal diseases, related to a heterozygous

206 , CVD-PREDICT (Cardiovascular Disease Policy Model for Risk, Events, Detection, Interventions, Costs,

207 biopsies was used to establish multivariable models for risk assessment at 3 and 12 months posttransp

208 Cox models for RSClin were compared with RS alone and clinic

209 o explore the performance of risk prediction models for RVF in adult patients undergoing LVAD implant

210 The current model for Sardinia's genetic history describes the islan

211 , not zero-inflated, as a suitable reference model for scRNA-seq analysis.

212 were reported to be reversed in this animal model for SCZ, showed a significant NDEL1 activity reduc

213 properties of disease modules and presents a model for secondary-variant burden analysis in recessive

214 Together our data suggest a model for selective alphavirus genome recognition and as

215 Computational models for SHM targeting often model the targeting proba

216 ng an accurate and interpretable group-level model for SIB identification, and further supports the f

217 We propose a new quantitative model for small object selectivity based on the physiolo

218 Building on our previous model for SmB(6) (mixed valent, with a peak in specific

219 rofiles were used in a chemical mass balance model for source apportionment, which revealed that near

220 We aimed to create models for statistical integration of allergen-specific

221 Here, we use Drosophila, an established model for studies on triglyceride metabolism, to gain in

222 ted in human disease that serve as tractable models for studies of pathogen-host interactions.

223 Cats are a critical pre-clinical model for studying adeno-associated virus (AAV) vector-m

224 In addition, Drosophila is an excellent model for studying how damaged tissues and organs can re

225 Late-onset FECD is a uniquely advantageous model for studying how RNA triggers disease because: (i)

226 llectively, our study establishes an in vivo model for studying how transformed cells migrate out fro

227 ution imaging of human RPE1 cells, a classic model for studying primary cilia in vitro, with a geneti

228 ory rodents has been an exceptionally useful model for studying the formation of topographically orga

229 Our findings offer a new model for studying the mechanisms underlying memory repr

230 leukemia (B-ALL), making B-ALL an excellent model for studying the role of aneuploidy in tumorigenes

231 ese questions, as well as provide a proposed model for systemic signal integration, focusing on the R

232 The data are instrumental for developing a model for the biological water oxidation cycle.

233 ween actin and CPEB3 and propose a molecular model for the complex structure of CPEB3 and an actin fi

234 satz we derive a low-dimensional macroscopic model for the core circadian clock in mammals.

235 We also present a simple predictive model for the design of configurationally stable seconda

236 These insights have led to a new model for the disorder-to-order transition in IDPs terme

237 y sensitivity analysis (PSA) of the societal model for the EK was robust, with 93.5% being below an a

238 The current model for the end-Permian terrestrial ecosystem crisis h

239 essing capabilities, we built a mathematical model for the eS6 phosphorylation (eS6-P) control circui

240 ucture to construct a dimer-based structural model for the ExoY-F-actin complex.

241 We present a simple power-law model for the frequency of repeat syntheses and assess t

242 Using a quantitative in silico model for the in vivo delivery of genome editors into th

243 We established an in vitro model for the induction of these structures in mouse mac

244 overlap and that the former may be used as a model for the latter.

245 To investigate this, we infer a fitness model for the poliovirus viral protein 1 (vp1), which su

246 achieved by first developing a probabilistic model for the prevalence of vp1 sequences that enables u

247 cked days was consistent with the conceptual model for the progression of migraine attacks.

248 Here, we use the classical Helfrich-Canham model for the RBC membrane to test the role of heterogen

249 model based on coupling between a stochastic model for the segregation of signaling molecules and a s

250 low Hill slope, and fitted a 2-site binding model for the sigma-1 receptor.

251 Using a transgenic mouse model for the sonic hedgehog (Shh) subgroup of medullobl

252 were in excellent agreement with a numerical model for the sorting process.

253 rthermore, the horse can serve as a valuable model for the study of comparative reproductive biology.

254 pig may, therefore, be a useful large animal model for the study of eosinophilic esophagitis in human

255 howed that DBA/2 mice are a relevant in vivo model for the study of IDV replication.

256 st have remained elusive in the absence of a model for the viral entry site.

257 age of computational advances and multiscale modeling for the analysis of complex, high-density data

258 sing a linear and binary logistic regression modeling for the continuous and categorical outcomes, re

259 Theoretical models for the aging dynamics need to be revised accordi

260 development and validation of deep-learning models for the automated measurement of retinal-vessel c

261 cation information, and built classification models for the complex protein spatial distribution in n

262 importance placed on the use of mathematical models for the effective design and management of long-t

263 rol (MFC) are critical classes of multiagent models for the efficient analysis of massive populations

264 These complexes may serve as models for the inner-sphere protonolysis reactions requi

265 ding the development of accurate theoretical models for the interaction of H(2) with a solid surface.

266 ds models and hierarchical linear regression models for the primary outcomes of all-cause graft failu

267 ine bilayers, which are used in this work as models for the protective phospholipid layers of the gas

268 We determined best-fitting linear models for the rates over the entire series based on the

269 . fluorescens and discusses several emerging models for the regulation and function of this adhesin.

270 ed 33 982 HCTs using multivariate regression models for the role of HLA mismatching on outcome.

271 onserved regulators of defense responses and models for the study of damage-associated molecular patt

272 A lack of cost-effective, reproducible models for the study of M. haemolytica pathogenesis has

273 Two animal models for the study of schizophrenia endophenotypes, na

274 Two heuristic models for the tri-exponential decay involving defects a

275 In addition, there are two competing models for their roles in synapse structure.

276 we have characterised a panel of preclinical models for their SSTR2 expression, in vivo growth proper

277 conceptual framework for use of preclinical models for therapeutic development.

278 Adult human skin is an appropriate model for these viruses because many target cells are pr

279 Molecular-level models for these effects have far-reaching consequences

280 and molecular dynamics simulations identify models for these two tetrameric conformers with unique i

281 e establish the Drosophila border cells as a model for this multistep process.

282 The stereospecific binding modeled for this scaffold was confirmed by resolving the

283 ts with non-small cell lung cancer served as model for three 3-dimensionally printed inserts.

284 We fit Weibull regression models for time to viral load >1000 copies/mL (treatment

285 s (HRs) derived from Cox proportional hazard models for time-to-first event endpoints and Cochran's Q

286 We propose a model for tissue-specific enhancer activity in which an

287 Caries risk assessment (CRA) models for toddlers and preschoolers are rare.

288 We used 120 LV-only FE models for training LV stress predictions.

289 A model for translational regulation is presented whereby

290 irway type 2 inflammation has provided a new model for treating some patients with corticosteroid ref

291 The mathematical model for tumour spheroid growth is parameterised by mul

292 use a susceptible-infectious-recovered (SIR) model for two coupled populations to make the conceptual

293 unction in the egg-laying circuit provides a model for understanding GPCR signaling in other neural c

294 lower development also provides an excellent model for understanding how cell division, expansion and

295 nto COVID-19 pathogenesis and can serve as a model for understanding human respiratory diseases.

296 system is highlighted as an apt comparative model for understanding RGC decussation, as albinos have

297 Valleys (MDV) of Antarctica are established models for understanding fundamental processes in soil e

298 e present a benchtop corneal puncture injury model for use with enucleated eyes that utilizes a high-

299 We present a model for UVR8 action in UV-B-acclimated plants growing

300 istent with electron heating, we formulate a model for weak-localization in the presence of nonequili