ライフサイエンスコーパス: solve

1 gnition depends on the problem people try to solve.

2 putational problems that human minds have to solve.

3 -like compounds would allow the puzzle to be solved.

4 ed, and several protein structures have been solved.

5 ture of the 36-amino acid NCR044 peptide was solved.

6 ent contradictions, and puzzles remain to be solved.

7 f resection, and many problems must still be solved.

8 l role played by the rATL in insight problem-solving.

9 proteomic data, be used for clinical problem solving.

10 do display some aspects of creative problem-solving.

11 tion to the rATL facilitates insight problem-solving.

12 textual and temporal reliability for problem-solving.

13 micrograph interpretability and allows us to solve 3D single particle structures of clustered protoca

14 s to a domain of 10 amino acids in TRPM3 and solve a cocrystal structure of this domain together with

15 These results solve a conflict between different types of experimental

16 -dependent information necessary for mice to solve a delayed match to sample task.

17 tion to the optimization problem, and we can solve a different but related optimization problem to ch

18 In this game, people solve a large range of challenging physical puzzles in j

19 A grand challenge to solve a large-scale linear inverse problem (LIP) is to r

20 ion and assignment of physisorbed disulfides solve a long-standing mystery and reveal new, dynamic pr

21 Our findings solve a long-standing problem, providing a new insight i

22 ways to act on the world, achieve a goal, or solve a problem.

23 orks for which the dynamics are specified to solve a task in an interpretable way.

24 c to particular HCV-infected individuals, we solved a crystal structure of the HCV E2 ectodomain in c

25 Participants solved a higher percentage of problems, overall, and spe

26 d how pairs of chimpanzees (Pan troglodytes) solved a problem of dynamically coordinating their actio

27 alculation is especially costly and involves solving a linear constrained optimization problem for ea

28 his basis can be used to simulate forward by solving a relatively inexpensive system of linear equati

29 PerturbNet learns the entire model by solving a single optimization problem with an efficient

30 individual reliability of innovative problem-solving ability across time and contexts in wild spotted

31 twork (DNN) that is trained on images of pre-solved acoustic fields.

32 Individuals were less likely to problem-solve after being given the insect diet, and the same mi

33 ght tau and the Noise Collector matrix C and solve an augmented system [Formula: see text], where e i

34 y based on general computational methods for solving an integer linear program, or a constraint satis

35 ks by providing upper and lower bounds, then solving an optimization model which closes the gap betwe

36 plified to a reversible two-state system and solved analytically using a rapid equilibrium assumption

37 structures of TrtA in apo and holo form were solved and compared with the BiuH structure.

38 ically recruited during math, logic, problem solving, and executive tasks, and the language system, t

39 collective choice and collaborative problem solving are discussed.

40 ial-time hard and thus become intractable to solve as the system scales to a large number of elements

41 h the crystal structure of uL14-RsfS complex solved at 2.3 angstrom resolution.

42 al structure of cone GAFab regulatory domain solved at 3.3 angstrom resolution, in conjunction with c

43 structures for activated CDTb (1.0 MDa) were solved at atomic resolution, including a symmetric ((Sym

44 orithms, DGLRDPSO has the best robustness in solving both holo- and apo-structure docking problems wi

45 GA X-ray crystal structure has been recently solved, but bacterial hydrolases are still widely used a

46 Fpn) in the presence and absence of hepcidin solved by cryo-electron microscopy.

47 The structure of PfCRT, solved by cryogenic electron microscopy, shows mutations

48 rove the accuracy of the conformation and is solved by differential evolution algorithm.

49 e data establish that telomere protection is solved by distinct mechanisms in pluripotent and somatic

50 ens our understanding of the design problems solved by evolution in nature.

51 The problem can be solved by introducing new sensing mechanism based on an

52 ture in the tetragonal space group I4 2m was solved by means of single crystal X-ray diffraction as a

53 , crystallized in a lipid bicelle matrix and solved by MicroED.

54 tructure of the tightest binding peptide was solved by NMR, and its binding site on Cdc42 was determi

55 evolutionary puzzle that has been partially solved by the hypothesis of sensory drive.

56 termined by NMR spectroscopy in micelles and solved by using restrained molecular dynamics calculatio

57 he structure of the C5_MG4-CirpT complex was solved by X-ray crystallography (at 2.7 angstrom).

58 structure of VCBC-Cullin5 has recently been solved by X-ray crystallography, and, using molecular dy

59 causal role of this brain region in problem-solving, by applying High Definition Transcranial Direct

60 ided to demonstrate the strength of XPEEM to solve challenging interface reaction mechanisms via post

61 ionally active as allosteric modulators, and solved co-crystal structures of the prokaryote (Erwinia)

62 The ability to solve cognitive tasks depends upon adaptive changes in t

63 nsic bromine and intrinsic phosphorus SAD to solve complex nucleic acid structures.

64 y transfer trajectories without the need for solving complex single-molecule differential equations h

65 polar region while participants attempted to solve Compound Remote Associates problems before, during

66 ize the fundamentals of quantum mechanics to solve computational problems more efficiently than tradi

67 ation-specific analog computing platforms to solve computationally hard problems.

68 sent an iterative computational algorithm to solve coupled equilibria between an arbitrary number of

69 To address this question, we solved cryo-EM structures of Msp1-substrate complexes at

70 lar dynamics simulations based on a recently solved cryogenic-electron microscopy structure of an act

71 However, as these equations cannot be solved directly, nuclear interactions are described usin

72 fold universally conserved in all previously solved dsDNA phages.

73 his review, we highlight recent successes in solving DUB-ligand co-structures and the development of

74 provides a systematic design methodology to solve engineering problems, based on the fundamental und

75 sis, and thereby it plays a critical role in solving environmental problems and generating economic b

76 In contrast to the previously solved ESX-5 heterotrimers, the PE-PPE heterodimer of ou

77 For one in four solved families, a transcription-altering mutation was t

78 re likely to have choroidal folds than other solved families, while MFRP families were more likely to

79 ponentially growing time for an algorithm to solve for the worst-case instances.

80 ed, and toxin-stabilized open, have all been solved for chicken ASIC1.

81 trometry techniques, a problem that has been solved for polynucleotides and proteins.

82 Three-dimensional structures have been solved for several naturally occurring RNA triple helice

83 Its structure was solved from submicrometer-sized crystals by continuous r

84 tional modification of plant development for solving future problems.

85 tio-temporal dynamics have been proposed for solving hard optimization problems.

86 e for polynomially-bounded scalability while solving "hard" planted-solution instances of SAT, known

87 We approximately solve high-dimensional problems by combining Lagrangian

88 To investigate this question, we solved high resolution crystal structures of human SUN2

89 ing for new ligand chemotypes using recently solved high-resolution 3D crystal structures of agonist-

90 Solving how this network is regulated is key to understa

91 iated genes using over 14,000 experimentally solved human protein structures.

92 ed commensurate behavioral deficits for late-solved images.

93 of SAT, known to require exponential time to solve in the typical case for both complete and incomple

94 eutralizing mAbs, EEEV-33 and EEEV-143, were solved in complex with chimeric Sindbis/EEEV virions to

95 elativistic form of the Faddeev equations is solved in momentum space as a function of the Jacobi mom

96 rystal structure of the CAM-Ag nanofibers is solved in the space group P1, with the asymmetric unit c

97 Such problems can be solved in two ways: One can individuate a scene object b

98 eded to conduct concrete, actionable problem solving in 4 high-impact areas in cardiovascular care: V

99 escriptions of experience focused on problem solving in the future.

100 Recent advances in long-read sequencing solve inaccuracies in alternative transcript identificat

101 al change is pressing forest pathologists to solve increasingly complex problems.

102 Structures of both A3G domains have been solved individually; however, a full-length A3G structur

103 was either easy, difficult or impossible to solve, infants varied in whether, when and how they trie

104 nimal behaviors, which suggests that problem-solving is a stable, general trait in wild spotted hyena

105 Some problem-solving is deliberate, but frequently people solve probl

106 Problem-solving is essential for advances in cultural, social, a

107 lem as an integer linear program problem and solve it using the PuLP package and the standard CPLEX a

108 apping as a subsequence matching problem and solved it using dynamic time warping, while relying on h

109 s postvittana (EposPBP3), and experimentally solved its apo-structure through X-ray crystallography t

110 "Piecing together" scroll fragments is like solving jigsaw puzzles with an unknown number of missing

111 em service delivery modelling can be used to solve land-use conflicts and identify trade-offs between

112 onal electronic architectures to efficiently solve large combinatorial problems motivates the develop

113 spite the plenitude of methods available for solving LIPs, various challenges have emerged in recent

114 tracers labeled with this PET nuclide could solve logistic problems.

115 ncreasingly, RNA sequencing is being used to solve many cases that evade diagnosis through sequencing

116 he active metal species that produces the ex-solved metallic particles.

117 ve been several efforts to apply quantum SAT solving methods to factor large integers.

118 oning operations, then what kinds of problem solving might be possible, and how would such problem so

119 onalizations are rare but powerful tools for solving modern synthetic challenges.

120 Taking advantage of the recently solved molecular structures of the fibrillar core of the

121 ce a task-remapping paradigm, where subjects solve multiple reinforcement learning (RL) problems diff

122 to capture conformational heterogeneity, by solving multiple 3 D classes that co-exist within a sing

123 etween miRNA and mRNA expression profiles by solving multiple linear programming problems.

124 four-node subgraphs in diverse real problem-solving networks.

125 d significance of these subgraphs in problem-solving networks.

126 now this happens because we become better at solving new problems-learning and deploying schemas(1-5)

127 Innovation is the ability to solve novel problems or find novel solutions to familiar

128 Models are solved numerically by directly solving the Fokker-Planck

129 The perivascular flow model is solved numerically, discovering that the peristaltic wav

130 t a high resolution of 2.0 angstrom has been solved, offering a solid structural basis for its bindin

131 ate of the state of the quantum computer for solving optimization problems.

132 the Ising Hamiltonian, which can be used to solve other combinatorial optimization problems through

133 se that correlated with variation in problem solving performance.

134 f both AAR and AAR-ADO complex have not been solved, preventing deeper understanding of this pathway.

135 This facile and scalable growth method solves previously encountered film uniformity issues.

136 formatics, the application of informatics to solve problems in chemistry, has increasingly influenced

137 agLev" for simplicity)-developed and used to solve problems in the fields of chemistry, materials sci

138 ng, namely, convolutional neural networks to solve problems in the initial steps of the common pipeli

139 solving is deliberate, but frequently people solve problems with a sudden insight, also known as a Eu

140 electrochemistry can be uniquely applied to solving problems in synthesis and to obtaining mechanist

141 us approaches are currently being pursued to solve quantum chemistry problems on near-term gate-based

142 Solving river engineering problems typically requires ri

143 et macromolecular structure data in order to solve scientific problems.

144 We solved separate NMR structures of the IQ motif (residues

145 the development of graph-based approaches in solving sequence to genome assembly alignment problem.

146 n processing and presentation, and helped to solve several conundrums that persisted for many years.

147 As a result, FPOP has been employed in solving several important problems, including mapping ep

148 reason, societies also enable individuals to solve shared problems individually, like in the case of

149 he field of machine learning can potentially solve some of our challenges on the way to rational mate

150 knowledge, learning and generalizing problem-solving strategies, and learning the actual definition o

151 is technology, applied in the past decade to solve structures of notoriously difficult-to-study drug

152 on diffraction (3D-ED) data has been used to solve structures of sub-micrometer-sized COFs, successfu

153 Four experimentally solved structures closely matched the designs.

154 We also solved structures for nsp16-nsp10 in complex with the me

155 We analyze recently solved structures of bacterial inner membrane efflux pum

156 We survey 118 X-ray crystallographically solved structures of homo-oligomeric transmembrane prote

157 remains difficult even though the number of solved structures soars and prediction techniques improv

158 Together with recently solved structures, these provide coverage of the major c

159 molecular interactions based on analyses of solved structures.

160 Long-read technologies can potentially solve such problems but are currently unfeasible to use

161 differences (SRD) algorithm can efficiently solve such problems.

162 State-of-the-art numerical methods for solving such problems utilize spatial discretization tha

163 ught great tits (Parus major) with a problem-solving task and showed that performance was weakly asso

164 about when and how to try on a novel problem-solving task.

165 Despite important efforts to solve the clinico-radiological paradox, correlation betw

166 To solve the corresponding system of equations, penalizatio

167 Here we solve the cryo-electron microscopy structures of NSD2 an

168 We solve the crystal structure of CxD7L1 in complex with AD

169 gth NiV phosphoprotein is tetrameric, and we solve the crystal structure of its tetramerization domai

170 For that, we solve the electrostatic problem of a conducting hyperbol

171 udy offers a, to our knowledge, novel way to solve the ensemble secondary structures of IDPs in solut

172 ropagation of waves caused by refraction, to solve the Forward Problem in US within the breast and lo

173 Finite volume method is used to solve the governing equations of the LFTFs and the nanof

174 tive projection optimization algorithm helps solve the inverse design problem.

175 potential of using bionanocomposite films to solve the issues of both environmental waste and to redu

176 In this issue of Blood, Calzavarini et al solve the long-standing puzzle of the function of protei

177 ncentrations and combine these operations to solve the mathematical problem Learning Parity with Nois

178 Thus, physical machines can solve the mathematical problem of optimization, includin

179 Discontinuous Galerkin FE method is used to solve the multicomponent transport problem.

180 cians who work in multidisciplinary teams to solve the pressing public health problem of venous throm

181 esults demonstrate that in vivo k (cat)s can solve the problem of inconsistent and low-coverage param

182 We solve the problem of obtaining accurate estimates from s

183 Many methods have been proposed to solve the problem.

184 putational approaches have been developed to solve the resulting bilevel optimization problems.

185 atches the accuracy of MulRF (which tries to solve the same optimization problem) and has better accu

186 ate that the physical system can efficiently solve the SAT problem in continuous time, without the ne

187 Furthermore, we solve the sFlaG(2)-sFlaF(2) co-crystal structure, define

188 overy of the first known CntA inhibitors and solve the structure of CntA in complex with the inhibito

189 We solve the structure of the complex formed by an improved

190 Here, we solve the structure of the TR LysG of Corynebacterium gl

191 Here, we solve the structures of a natural AAV isolate complexed

192 ported by ab initio calculations are used to solve the structures of K(5)[Mo(3)O(4)F(9)].3H(2)O (1),

193 tations about the task, their own ability to solve the task and the experimenter's ability to solve t

194 e the task and the experimenter's ability to solve the task, in light of accumulating evidence across

195 Here, we solve the X-ray crystal structures of the C-terminal SH2

196 Here, we solved the 1.8 angstrom resolution crystal structure of

197 Here, we solved the 3.6- angstrom resolution electron cryo-micros

198 ing solution-based techniques and ultimately solved the 4.9 angstrom cryo-EM structure of the DEC-205

199 We solved the Cmu1-KWL1-b complex to 2.75 angstrom resoluti

200 We solved the crystal structure of AcaB at 2.9- angstrom re

201 Here, we have solved the crystal structure of HypD from the pathogen C

202 We have solved the crystal structure of the BCAP TIG and find th

203 We previously defined and solved the crystal structure of the C-terminal domain of

204 m higher-order oligomers in solution, and we solved the crystal structure of the core pUL7:pUL51 hete

205 lar mechanism of substrate cleavage, we have solved the crystal structures of human GGT1 (hGGT1) with

206 e with histone chaperoning activity, we have solved the crystal structures of its terminal domains an

207 We solved the crystal structures of mAb HENV-26 in complex

208 Furthermore, we solved the crystal structures of the GLR3.3 LBD in compl

209 We have solved the crystal structures of the NTD core and EXO do

210 We also solved the crystal structures of WT and N53I CaM in comp

211 We solved the DPO-VqmA crystal structure to 2.0 angstrom re

212 g optogenetics in Caenorhabditis elegans, we solved the presynaptic circuit for depolarization of the

213 Here, we solved the solution structure of C. diphtheriae MsrB (Cd

214 e crystallized EapH1 bound to this protease, solved the structure at 1.6 angstrom resolution, and ref

215 We solved the structure of a malate racemase apoprotein and

216 Here, we solved the structure of a newly identified TCR in comple

217 Here we solved the structure of a non-peptide agonist, TT-OAD2,

218 We solved the structure of Dfg5 from a filamentous fungus a

219 We solved the structure of MKP5 in complex with this inhibi

220 Here we have solved the structure of smooth muscle 10S myosin by cryo

221 We solved the structure of the CAK complex from the model o

222 lipoprotein-binding protein 1 (GPIHBP1) and solved the structure of the complex.

223 We further solved the structure of the MastR-T74D mutant, which con

224 Using the reported methods we solved the structures of (i) Pseudorabies virus (PRV) RN

225 the structural basis of this phenomenon, we solved the structures of ELIC embedded in palmitoyl-oleo

226 We solved the X-ray crystal structure of the prenyltransfer

227 This system solves the key challenges in object provenance: persiste

228 deled with a software package-DOCTORS, which solves the linear Boltzmann equation using the discrete

229 Although research conducted online solves the problem of data collection, the paucity of in

230 ate designs of meta-atoms, and independently solves the smaller design tasks of the meta-atoms throug

231 The SneakySnake algorithm quickly solves the SNR problem and uses the found optimal path t

232 a reporting, interferENZY will contribute to solving the "reproducibility crisis" that currently chal

233 ant method is only partially appropriate for solving the authentication problem.

234 nt percept of the world relies inherently on solving the causal inference problem, deciding whether s

235 Models are solved numerically by directly solving the Fokker-Planck equation using efficient numer

236 al multifidelity approaches specifically for solving the inverse indentation problem which 1) signifi

237 ctly from the boost two-body interactions by solving the Lippmann-Schwinger equation.

238 ular geometries was simulated by numerically solving the monodomain electrophysiology equations on an

239 electronics and electric vehicles (EVs) for solving the present worldwide issues of fossil fuel exha

240 We calculate the likelihood by numerically solving the resulting Kolmogorov backward equation backw

241 By solving the structure of the virus, and through sequence

242 results show the power of FPA and PET-FCS in solving the trajectory of cotranslational protein foldin

243 curve reconstruction problem is analogous to solving the traveling salesman problem.

244 Solving the V2F challenge requires us to identify causat

245 of "Engage" or to the evidence-based Problem-Solving Therapy (PST) offered by 35 trained community so

246 s can come together to advance the field and solve these problems.

247 cyclodextrins (CDs) have been widely used to solve these technological challenges.

248 ription, that alone does not hold the key to solving these complex diseases.

249 Solving these problems will need additional work before

250 The Paris Agreement is intended to solve this collective action problem, but is likely insu

251 We solve this conundrum by reexamining this hypothesis usin

252 Here we aim to solve this issue by exploring the rich sequence data fro

253 Statement, we propose two potential paths to solve this nomenclatural conundrum.

254 Here, we solve this open problem, presenting a comprehensive theo

255 sing a variety of techniques, we are able to solve this optimization problem numerically.

256 To solve this paradox we propose a two-process model in whi

257 Here, we solve this problem by developing a data-based, model-ind

258 Here, we solve this problem by using differential fluorescence in

259 Accordingly, most efforts to solve this problem have relied on retrospective or prosp

260 Existing hypotheses to solve this problem require restrictive assumptions that

261 We sought to solve this problem with a novel approach that uses an an

262 ept of a transparent magnetic metasurface to solve this problem, and demonstrate a novel mechanism fo

263 To solve this problem, gold nanostar@Raman reporter@silica-

264 To solve this problem, we have developed a method called Co

265 For exponential-type loss functions, we solve this puzzle by showing an effective regularization

266 To solve this puzzle, here we constructed a dataset includi

267 To solve this, we analyzed the motion of 45 GFP-tagged syna

268 We solved this issue by developing plant usable light-switc

269 The process of abstraction solves this by constructing variables describing feature

270 This work solves this image fusion problem through a new dedicated

271 Focusing on myoglobin, the current work solves this problem by dissecting T-dependent HDX-MS pro

272 The backpropagation algorithm solves this problem in deep artificial neural networks,

273 scribe a StringDecomposer (SD) algorithm for solving this problem, benchmark it on the set of long er

274 ir base pairing and bioactivity studies, and solved three new crystal structures of the RNA duplexes

275 phase-field simulations by self-consistently solving time-dependent Ginzburg Landau equation, Poisson

276 re of the S. cerevisiae RNase MRP holoenzyme solved to 3.0 angstrom.

277 The wild-type fibril structure, solved to 3.6- angstrom resolution, contains two protofi

278 the full-length PCBP2 in complex with SLIVm solved to 6.1 angstrom resolution reveals a compact glob

279 We provide a proof-of-concept by using SOLVING to quantitate the orientation distribution of tw

280 methods may provide insight into quantum SAT solving, to date they have not led to a convincing path

281 g approaches combine to constitute a problem-solving toolbox that enables mass spectrometry as a valu

282 ubtle atomic-scale details are now routinely solved using complementary tools such as X-ray and/or ne

283 O)(10) peptide at 0.89- angstrom resolution, solved using direct methods.

284 The structure, solved using high-temperature single-crystal X-ray diffr

285 ew RiPP, which we name pristinin A3 (1), was solved using nuclear magnetic resonance (NMR), tandem ma

286 The PBE model is solved using the adjustable direct quadrature method of

287 chimpanzees in the wild and in captivity can solve various coordination problems.

288 Chemometrics is widely used to solve various quantitative and qualitative problems in a

289 iscretize the nonlinear equations, which are solved via a computational method called the step-by-ste

290 o variants of the set cover problem that are solved via tabu search and by relaxed integer linear pro

291 y of how imagery-based artificial agents can solve visuospatial intelligence tests.

292 However, problem-solving was not reliable for adult subjects, when trials

293 of the reward functions of tasks previously solved, we can reduce a reinforcement-learning problem t

294 study this type of general physical problem solving, we introduce the Virtual Tools game.

295 al, the estimates of reliability for problem-solving were comparable to estimates from the literature

296 full-length rhesus macaque A3G variants were solved which suggested dimerization mechanisms and RNA b

297 tion in the context of collaborative problem-solving, which is central to a variety of domains from e

298 ly and trajectory optimization problems were solved with direct collocation to enable efficient compu

299 ight be possible, and how would such problem solving work?

300 tand the molecular basis for promiscuity, we solved X-ray crystal structures of a SMR transporter Gdx