ライフサイエンスコーパス: computer

1 t moral decisions are hardly to be left to a computer.

2 d can process 3.3 TB in 12 days on a 32-core computer.

3 ary pairs of qubits on a trapped-ion quantum computer.

4 e model training is processed on a classical computer.

5 the initial and target states of the quantum computer.

6 a fixed hardware architecture of the quantum computer.

7 m is a crucial problem in gate-model quantum computers.

8 izing fault-tolerant superconducting quantum computers.

9 nce quantum networking and near-term quantum computers.

10 becoming more and more reliant on the use of computers.

11 ontrol of quantum gates in near-term quantum computers.

12 l problems more efficiently than traditional computers.

13 ircuit depth reduction of gate-model quantum computers.

14 analytics run on cloud/clusters or personal computers.

15 mplexity and physical layer costs of quantum computers.

16 d are attractive building blocks for quantum computers.

17 centres for high-speed optical networking of computers.

18 computational problems in gate-model quantum computers.

19 easurement apparatuses in gate-model quantum computers.

20 d in early proposals for solid-state quantum computers(1) and demonstrations of quantum search(2) and

21 ond the simulation capabilities of classical computers(1).

22 ks(2,5) and, ultimately, distributed quantum computers(6,7).

23 s essential for building a practical quantum computer able to manipulate, store and read quantum info

24 s a rich set of options for creating genetic computers able to reproduce themselves and use a heritab

25 dults and Pediatrics, Brain/Brain Stem, CNS, Computer Aided Diagnosis (CAD), Computer Applications-Ge

26 Computer-aided 3D modeling has improved efficiency and o

27 Computer-aided approaches hold the potential to assist i

28 mensional parts from metallic powder using a computer-aided design model(1-3).

29 A noncontact 3D scanning, computer-aided design, 3D printing, and silicone casting

30 placement of cells and biomaterials based on computer-aided design.

31 res with high shape fidelity to the intended computer-aided design.

32 Deep learning systems allow for real-time computer-aided detection (CADe) of polyps with high accu

33 as developed by using the Stratus method and computer-aided detection mammographic features (density,

34 imaging radiologists with the assistance of computer-aided detection.

35 ning study develops a deep transfer learning computer-aided diagnosis (CADx) methodology to diagnose

36 Artificial intelligence (AI) systems for computer-aided diagnosis and image-based screening are b

37 with OCT and OCTA data enhances the power of computer-aided diagnosis of NPDR.

38 implementable and scalable for non-invasive computer-aided diagnosis, even for uncommon diseases.

39 After 50 years of research in computer-aided diagnosis, there is still a paucity of st

40 Average manual diameter and semiautomated computer-aided diameter and volume measurements were con

41 entified a mechanism-based inhibitor (N3) by computer-aided drug design, and then determined the crys

42 nt and balanced FXR/PPARdelta activator in a computer-aided fashion.

43 labeling experiments were used together with computer-aided modeling to map fluxes through central me

44 manual measurements of average diameter and computer-aided semiautomated measurements of average dia

45 , validated, and benchmarked a deep-learning computer-aided system for primary detection of neoplasia

46 Based on this mode of action, computer-aided techniques and structure-activity relatio

47 of patients with COVID-19 were searched by a computer algorithm (March 1 to April 15, 2020), and char

48 A computer algorithm is developed to differentiate RBCs fr

49 out specialized sample preparation using any computer and a suitable GPU.

50 Using an ion trap quantum computer and protocols motivated by the quantum approxim

51 ven current trends for frequent daily use of computers and handheld devices and necessarily prolonged

52 A central challenge in developing quantum computers and long-range quantum networks is the distrib

53 romising route to the development of quantum computers and portable quantum sensors(1-4).

54 try problems on near-term gate-based quantum computers and quantum annealers by developing the approp

55 Quantum computers and simulators may offer significant advantage

56 Here, we apply DETBAL, a computer application, to systematically identify many vi

57 n Stem, CNS, Computer Aided Diagnosis (CAD), Computer Applications-General (Informatics), Image Postp

58 m computer, where we reconfigure the quantum computer architecture on demand.

59 Current computers are limited by the von Neumann bottleneck, whi

60 While fully fault-tolerant quantum computers are not yet realized, there may exist intermed

61 discoveries accelerated by or resulting from computer assistance and automation from the domains of s

62 e feasibility and effectiveness of using the Computer Assisted Rehabilitation Environment (CAREN) sys

63 mple of strychnine were used in the CASE-3D (computer-assisted 3D structure elucidation) protocol.

64 amed multifactorial peak crossover (MPC) via computer-assisted chromatographic modeling.

65 The proposed algorithm may be useful for computer-assisted corneal disease diagnosis.

66 maging datasets used to train AI systems for computer-assisted diagnosis.

67 Such computer-assisted examination of human placentas will en

68 In this work, a computer-assisted modeling approach that dramatically si

69 ices and investigated with a Golgi stain and computer-assisted morphometry to provide somatodendritic

70 rain (N = 640 neurons) were quantified using computer-assisted morphometry.

71 We also foresee a role for computer-assisted planning, as a way to improve planning

72 Assessments every 6 months included computer-assisted self-interviews and testing for sexual

73 secondary) and behavioral data collected by computer-assisted self-interviews.

74 Computer-assisted semen analysis (CASA) of sperm of the

75 Data on DMPA use were collected by computer-assisted telephone interview.

76 at finds a target system state for a quantum computer at a given target objective function value.

77 ty, the Symbol Digit Modalities Test, or its computer-based analogues, can be used to monitor episode

78 cient and effective medical decision making, computer-based clinical decision support (CDS) could unl

79 A battery of computer-based mood and cognitive tests to assess s-ener

80 y through a writing exercise (Study 3) and a computer-based poverty simulation (Studies 4a and b) inc

81 Simulated practice, both face-to-face and computer-based, is well established within healthcare ed

82 ramework can be deployed not only on desktop computers but also on edge devices without internet conn

83 memory/operating systems differ from desktop computers, but software can be recompiled.

84 ces together with the relentless increase in computer capacity is revolutionizing almost all existing

85 to perform such analyses but most require a computer cluster or large amounts of RAM to be executed.

86 eously calculated across multiple nodes in a computer cluster.

87 e-scale structure-based virtual screening on computer clusters in an accessible, efficient and flexib

88 of image-based diagnostics to improve human-computer collaboration in clinical practice.

89 assembled together on a single shared-memory computer; consequently, they have only been assembled sa

90 Here, we combine in vitro experiments in computer-controlled bioreactors with mathematical modeli

91 We evaluated a computer-controlled virtual experimenter (VEx) to avoid

92 f clinician education, peer comparisons, and computer decision support order sets was directed agains

93 th and without S-adenosylmethionine, and the computer-designed ATP-TTR-3 aptamer with and without AMP

94 We coupled the computer-designed VLP not only to monomers (SARS-CoV-2)

95 video games, activity monitors, and handheld computer devices for 6 months in hospital and at home.

96 e task was to send a virtual target from one computer display to another using two touch-screens.

97 Computer docking of the methylnicotines to the Lymnaea a

98 een used effectively previously in idealized computer flow simulation studies, this study demonstrate

99 timized estimate of the state of the quantum computer for solving optimization problems.

100 firmed diagnosis were randomly assigned by a computer generated randomisation list to receive ART-onl

101 The randomisation sequence was computer generated with permuted blocks of size 4 and 6

102 Randomisation was computer generated with random permuted block size 2 and

103 ependent remote randomisation service used a computer-generated allocation sequence with randomly var

104 The randomisation sequence was computer-generated and stratified by participating centr

105 The randomisation list was computer-generated by a non-study statistician with sequ

106 The randomisation schedule was created using computer-generated code (stratified by recruiting centre

107 Randomisation was done using a computer-generated code with stratification by site.

108 Randomisation took place with a computer-generated data capture system using a pre-gener

109 e 2D diffractive optical elements (DOEs) and computer-generated holograms (CGHs), which modulate opti

110 Using a computer-generated list, T. trichiura-infected adolescen

111 berrations were randomly assigned (1:1) by a computer-generated minimisation method, with balancing f

112 Twenty-one computer-generated MRI features of tumors were condensed

113 race faces (category of experience) or novel computer-generated objects (YUFOs) that included pairwis

114 Randomisation was done centrally by computer-generated permuted block method (variable block

115 Patients were randomly assigned (1:1:1, computer-generated permuted blocks; stratified by baseli

116 Patients were randomly assigned (1:1:1, computer-generated permuted blocks; stratified by baseli

117 Computer-generated random numbers were provided by the s

118 intervention or routine care (control) using computer-generated random numbers.

119 Randomisation was done by a computer-generated random sequence by means of an intera

120 Randomisation was by a computer-generated random sequence by means of an intera

121 ia the interactive web response system using computer-generated random sequences with a block size of

122 We stratified computer-generated randomisation by area, list size, and

123 omen were randomly assigned (1:1:1), using a computer-generated randomisation list, to receive inacti

124 We randomly assigned participants via a computer-generated randomisation schedule and interactiv

125 ned (1:1:1), using block randomisation and a computer-generated randomisation sequence, to treatment

126 practice clinics using a centrally prepared computer-generated randomisation sequence.

127 gned (1:1) by the trial statistician using a computer-generated randomisation sequence; for individua

128 The computer-generated randomization sequence was stratified

129 Subjects underwent computer-generated randomized sequence of either procedu

130 rrelation using fast Fourier transforms with computer-generated reference images, yielding a processi

131 ed by region (USA and Rwanda) and based on a computer-generated schedule using randomly permuted bloc

132 e daily) or placebo in 28-day cycles using a computer-generated sequence (block size of six with stra

133 Finally, requirements for constructing a computer graphics quantitative intrahippocampal flatmap,

134 ought with it a surge of research related to computer-guided approaches to catalyst design.

135 le, nuclear- and electron-spin-based quantum computers in silicon that operate without the need for o

136 deo analysis, video summarization, and human-computer interaction.

137 ing chronic recording will benefit the brain-computer interface technologies and neuroscience studies

138 s to create a whole-body intracortical brain-computer interface that spreads targets across all limbs

139 Previous studies of Brain Computer Interfaces (BCI) based on scalp electroencephal

140 Current brain-computer interfaces (BCIs) allow for linguistic communic

141 Brain-computer interfaces (BCIs) enable control of assistive d

142 neural recordings can render clinical brain-computer interfaces (BCIs) uncontrollable.

143 id kinetic and kinematic intracortical brain-computer interfaces (iBCIs) have the potential to restor

144 The efficacy of wireless intracortical brain-computer interfaces (iBCIs) is limited in part by the nu

145 pplications, implantable bioelectronic brain-computer interfaces are envisioned as the next step in c

146 ble biomechanical feedback systems and human-computer interfaces.

147 es to emulate neurons and synapses and brain-computer interfacing concepts that interlink brain and b

148 and most compelling applications for quantum computers is Feynman's idea of simulating quantum system

149 enge for these compact high-performance edge computers is the integration of a power source that sati

150 orks from scalp EEG can be estimated using a computer model and used to predict seizure likelihood an

151 sients during an AP waveform and developed a computer model of SK channels with rectification feature

152 obster is used as a framework to construct a computer model to examine the utility of intermittency f

153 lified brain dynamics were simulated using a computer model.

154 hic data for relevant Pd-AMPP* complexes and computer modeling explained the origin of the enantiosel

155 expressed in the mouse sinoatrial node where computer modeling predicts that its presence increases H

156 Computer modeling revealed that I(NaL) potentiates EADs

157 Computer modelling is widely used in the design of scien

158 The official forecast and computer models were unable to predict rapid intensifica

159 onally displayed in two dimensions (2D) on a computer monitor.

160 Using mouse-tracking-continuously sampling computer mouse location as participants decide-we demons

161 ability, the step counts for both humans and computers must be more concrete.

162 surgery platform that utilizes principles of computer numerical control (CNC) machining to perform a

163 Although universal quantum computers of practical scale may be years away, various

164 e, to assess the potential impact of quantum computers on real problems of interest.

165 ther a certain task should be performed by a computer or an expert.

166 le electronic devices, such as smart phones, computers, or the television, distract us.

167 nductor transistors has driven the growth in computer performance for more than 50 years.

168 To support these claims, computer-predicted, prebiotic syntheses of several bioti

169 Collectively, we develop an efficient computer program package, gamevar.f90, for estimating ga

170 niques and an in-house developed interactive computer program that human AD-derived Tau seeds rodent

171 r best models treat learning as analogous to computer programming because symbolic programs provide t

172 Computer programming is a novel cognitive tool that has

173 stom-written processing algorithms, advanced computer programming knowledge and/or expertise in physi

174 ng calculations take place on the user's own computer rather than a remote server.

175 microcontroller boards (MCBs), single-board computers (SBCs), professional grade control and data ac

176 Machine learning is a branch of computer science and statistics that generates predictiv

177 rogressing implementation of electronics and computer science in chemistry research.

178 d longitudinal survey of 559 engineering and computer science students that graduated from over two d

179 ng, chemical biology, molecular biology, and computer science tools are converging to guide the desig

180 In computer science, reinforcement learning is a powerful f

181 We suggest applying a well-known concept in computer science-committee machines-in the context of me

182 d the social sciences, biology, physics, and computer science.

183 t formal training in software engineering or computer science.

184 this challenge by adopting perspectives from computer science.

185 t among other items scattered at random on a computer screen (e.g., Find a red T among other letters

186 participants performed worse when observing computer-simulated actions they believed were from a rig

187 We observe that computer-simulated aggregation levels mimic true disease

188 In analyses of an extensive collection of computer-simulated datasets, we found the accuracy of RT

189 For the exploration of such systems, computer simulation has proved to be an invaluable tool,

190 A computer simulation model of the pediatric eye was devel

191 a), a local adaptation of a well-established computer simulation model that projects cardiovascular a

192 A computer simulation model was developed to evaluate the

193 tive, with the aid of heuristic mathematical-computer simulation models, we explore the a priori cond

194 We present a computer simulation platform that uses Monte Carlo metho

195 Mean-field analysis and computer simulation reveal rich phase behavior for this

196 are supported by a comprehensive Monte Carlo computer simulation study.

197 y moved from male to female flowers, whereas computer simulation suggested that sexually dimorphic tr

198 Therefore, we used a computer simulation to project the health and economic i

199 An analysis of computer simulations and 21 y of field data from Arizona

200 ve experimentally evaluated our method using computer simulations and compared it to five existing mo

201 We used computer simulations and fluorescence experiments to sho

202 This can add significant overhead to computer simulations and hampers the development of intu

203 l-world network of guidance structures, with computer simulations and optimization analysis predictin

204 Our modeling approach allows both computer simulations and rigorous analytical treatments,

205 haracterization, and pre- and post-synthetic computer simulations are mostly carried out in a pieceme

206 he model with experimental results, and then computer simulations based on experimental data.

207 les of different orders, consistent with our computer simulations based on free energy minimization.

208 Mathematical models and computer simulations demonstrate initial reductive treat

209 Computer simulations demonstrate that the FSSEM algorith

210 Computer simulations have a huge potential to predict th

211 assumption of incompressibility by comparing computer simulations of an isotropic actin cortex with t

212 Computer simulations of complete viral particles can pro

213 Computer simulations of model proteins with sticker-and-

214 Computer simulations of realistic images are used to inv

215 ume meshes, which can then form the basis of computer simulations of such processes using numerical t

216 By using computer simulations of the cell's mid-plane, we investi

217 ncept study demonstrating the feasibility of computer simulations of the heart in understanding the a

218 inst different patterning models by means of computer simulations of tissues where we implemented mec

219 Computer simulations suggest that this gene network is s

220 Computer simulations then explored electrophysiological

221 logy of reconstituted collagen networks with computer simulations to investigate the primary determin

222 three-dimensional holographic microscopy and computer simulations to reveal that halophilic archaea a

223 In this paper, we use molecular dynamics computer simulations to study the crystallization of a f

224 We use computer simulations to study the morphology and rheolog

225 om 787 expert antibiotic prescribers, we run computer simulations to test the performance of the wisd

226 Specifically, we used computer simulations to train a supervised learning algo

227 Computer simulations using a mathematical antibiotic tre

228 Computer simulations using a rabbit-cardiomyocyte model

229 Our neural data and computer simulations using a V1-MT model suggest that th

230 Computer simulations usually use periodic boundary condi

231 Kinetic analysis and computer simulations were performed on representative ti

232 ribe results of the preclinical analysis and computer simulations with the goal of model validation a

233 Defective structures are observed in computer simulations, and are evident in single-particle

234 etical predictions agree quantitatively with computer simulations, and offer guidelines in understand

235 stress (<=4 minutes) was developed by using computer simulations, ex vivo heart preparations, and do

236 g (QRL), which shows superior performance in computer simulations, has never been empirically tested

237 Combined with computer simulations, our data support a model by which

238 Here we combine NMR, crystallography, computer simulations, protein engineering, and functiona

239 croscopy and electron tomography, as well as computer simulations, to uncover the mechanism underlyin

240 Using computer simulations, we find that hard sphere-like liqu

241 By running computer simulations, we show that regulating the chemic

242 Through experimental studies and computer simulations, we successfully demonstrate that t

243 ity that was studied by analytical tools and computer simulations.

244 T experiments, they need to be combined with computer simulations.

245 investigated the underlying principles using computer simulations.

246 kew in low CO regions, and validate it using computer simulations; explanations for higher skew with

247 ion or control was randomly assigned using a computer software algorithm.

248 pplied geneticists, we wrote an R package of computer software, HiGwas, designed to analyze longitudi

249 Akin to computer software, this "signaling code" governs context

250 eavy reliance on digital data processing and computer software.

251 lysis using Axisymmetric Drop Shape Analysis computer software.

252 This polynomial method needs less computer storage than the interpolation method and can b

253 spawning more than 16 processes on a single computer system.

254 archival data storage is often coupled with computers that provide 40 or more CPU threads and multip

255 In near-term quantum computers, the operations are realized by unitary quantu

256 trary simulations to be sped up by a quantum computer, thus one must carefully identify areas where q

257 s software monitors via the external desktop computer to the data stream and inserts optimized MS2 an

258 oposed method lies in a platform that allows computers to design novel materials atom-by-atom without

259 m bits (qubits) must be improved for quantum computers to outperform classical ones in useful tasks.

260 ation devices such as smartphones and tablet computers to support and improve health-related services

261 te response are detected by volume perfusion computer tomography (VPCT).

262 icular diameter ratio >=0.9 as documented by computer tomography angiography were eligible for enroll

263 Gy X-ray and in human subjects that received Computer Tomography.

264 tion was long thought to be unattainable for computer translation systems.

265 yses of leisure television watching, leisure computer use and driving behaviour in the UK Biobank ide

266 Quantum computers utilize the fundamentals of quantum mechanics

267 underwent a complete ophthalmic examination, computer videokeratography, and corneal thickness and en

268 This relationship was then used to develop a computer vision algorithm that utilizes CTC image featur

269 workflow, and compared these to established computer vision algorithms.

270 nce and biologically inspired MTT methods in computer vision and discuss the ways in which they can b

271 hysics, mathematics, pattern recognition and computer vision and learning.

272 Advances in computer vision and machine learning are making it possi

273 Applying techniques from computer vision and natural language processing, we 'un-

274 Research at the intersection of computer vision and neuroscience has revealed hierarchic

275 as been applied to various contexts, such as computer vision and speech recognition, multiview learni

276 that is readily usable as training data for computer vision applications.

277 ates the flow rate and volume of urine using computer vision as a uroflowmeter, and classifies stool

278 odor profile of the grilled chicken, whereas computer vision could identify discoloration of the chic

279 Then, it uses a computer vision image alignment algorithm (image registr

280 Computer vision image analysis thus offers a practical a

281 AI in general and computer vision in specific are emerging tools that clin

282 the limitations of existing state-of-the-art computer vision methods applied to endoscopy and promoti

283 We found that classical computer vision perform well on detecting the glottal mi

284 New engineering and computer vision technologies track these phenotypic chan

285 Herein, we utilized an electronic nose and computer vision to check the cooking state of grilled ch

286 rewith present a novel method, borrowed from computer vision, adapted to mine fragment subpockets and

287 r applications including telecommunications, computer vision, and natural language processing.

288 m-solving paradigm with many applications in computer vision, natural language processing, digital sa

289 s scale-space theory, a technical advance in computer vision, to detect blob-shaped objects in contac

290 Ridge Tracking-based Extract (RTExtract), a computer vision-based algorithm, to quantify time-series

291 s are an important problem in real-world and computer vision.

292 DC responses can be quantified in pigs using computer vision.

293 cost and easy to use imaging device based on computer vision.

294 ovations for time-critical video analysis in computer vision.

295 tracking (MTT) ability is rarely imitated in computer-vision algorithms.

296 At the same time, computer-vision researchers have proposed different algo

297 nation patterns using a novel combination of computer-vision, machine-learning, and time-series analy

298 ol on a software-defined trapped-ion quantum computer, where we reconfigure the quantum computer arch

299 head so that an eavesdropper with a powerful computer-who sees the responses to random inputs-still c

300 n multi-threading implementation on a single computer with very poor scalability.