ライフサイエンスコーパス: computer

1 ess a 30x whole-genome BAM file on a desktop computer.

2 classical computer to the power of a quantum computer.

3 titution or even off the primary developer's computer.

4 published tools that requires only a desktop computer.

5 ication of organisms to the file system on a computer.

6 of large genomes using SMS reads on a single computer.

7 erformed in reasonable time on small quantum computers.

8 me spent in direct patient care versus using computers.

9 rograms that can analyze GBS data on desktop computers.

10 ithms for problems inaccessible to classical computers.

11 nications and interconnecting future quantum computers.

12 or implementation using medium-sized quantum computers.

13 a reasonable time frame on standard desktop computers.

14 that obeys similar restrictions to universal computers.

15 curated knowledge for use by both humans and computers.

16 fast, powerful and efficient general-purpose computers.

17 arning that is faster than that of classical computers.

18 Computer adaptive learning method reinforced learning by

19 d participant strategy during game play with computer agents that simulated aspects of ToM or fixed s

20 n automated screening and the development of computer aided diagnosis tools in the future.

21 ufacturing (AM) alias 3D printing translates computer-aided design (CAD) virtual 3D models into physi

22 nd implant-supported fixed restorations from computer-aided design (CAD)/computer-aided manufacturing

23 The computer-aided design and manufacture (CAD/CAM) techniqu

24 We present a computer-aided diagnosis system (CADx) for the automatic

25 We used computer-aided drug design to target small molecules to

26 AV proteins and to evaluate the potential of computer-aided drug design to target this family of prot

27 Using computer-aided drug discovery coupled with in vitro kina

28 yme inhibitors and to benchmark a variety of computer-aided drug discovery methods under identical ex

29 Computer-aided drug repositioning is a cheaper and faste

30 estorations from computer-aided design (CAD)/computer-aided manufacturing (CAM)-fabricated high-stren

31 Computer-Aided Nodule Assessment and Risk Yield (CANARY)

32 Scaffold hopping refers to the computer-aided search for active compounds containing di

33 apy and randomly assigned them (1:1) using a computer algorithm (for dynamic randomisation) to guadec

34 We randomly allocated patients with a computer algorithm, with a fixed block size of three, in

35 ust data analysis was achieved by developing computer algorithms carried out using R.

36 operations in disaster zones, and to genetic computer algorithms exploring parameter spaces.

37 veloped new terminology, classification, and computer algorithms for automatic detection of numerical

38 ative genomics analyses executed by powerful computer algorithms have successfully been used to uncov

39 Computer algorithms typically do not do this, but perhap

40 ted from images by humans and image-analysis computer algorithms, as well as the electronic health re

41 s quantified using fully-automated validated computer algorithms, separately from three sequential DC

42 nt, were randomly assigned (1:1), via remote computer allocation, to receive either one-to-one pelvic

43 Computer analyses of antigen structures reveal stereoche

44 g novel data with established knowledge, for computer analyses, and for educational purposes.

45 The primary interface between a wearable computer and a user is often a near-eye display.

46 Our computer and quantitative tools provide novel insight in

47 pletely Automated Public Turing test to tell Computers and Humans Apart) by generatively segmenting c

48 r-body motion for operating devices, such as computers and wheelchairs.

49 ed on a 3D-printed mainframe, a Raspberry Pi computer, and high-definition camera system as well as A

50 Randomisation was completed by a central computer, and participants were allocated to treatment n

51 of 1.7 hours with patients, 5.2 hours using computers, and 13 minutes doing both.

52 ing atoms, such as atomic clocks and quantum computers, and control over the interaction between atom

53 ed and space values of the F-actin molecular computers are discussed.

54 Computers are now essential in all branches of science,

55 ule Out Myocardial Infarction/Ischemia Using Computer Assisted Tomography) comparing an initial coron

56 A computer-assisted 3D reconstruction was used to analyze

57 Using predictive computer-assisted algorithms, we identified 10 potential

58 We describe and implement a computer-assisted approach for accelerating the explorat

59 with dementia and support caregivers using a computer-assisted assessment determining a personalized

60 rability of a therapist-supported method for computer-assisted cognitive-behavioral therapy (CCBT) in

61 The computer-assisted design was focused on the bioisosteric

62 BI-RADS classification was as accurate as computer-assisted methods for discrimination of patients

63 An enhanced computer-assisted procedure for the determination of the

64 thm gives results comparable to the standard computer-assisted sperm analysis (CASA) system.

65 of the molecular constitution using standard computer-assisted structure elucidation (CASE) and is fo

66 ructure proposals or structures generated by computer-assisted structure elucidation.

67 ake interview, transvaginal ultrasonography, computer-assisted telephone interview, and follow-up ass

68 iteria for Adverse Events (CTCAE) via tablet computers at 5 successive clinic visits.

69 ted in the tropical rainforest, bats visited computer-automated flowers with simulated genomes that e

70 t in the pursuit of an all-microwave quantum computer based on propagating photons.

71 We designed a new computer-based algorithm that quantitatively computes th

72 By use of a computer-based algorithm, men were randomly assigned (1:

73 The dissemination of computer-based cognitive behavioral therapy and improved

74 e merits of intervention modalities, such as computer-based cognitive training, physical exercise tra

75 ndard teaching with or without postdischarge computer-based education (CBE) at home.

76 The computer-based health-education tool 'The Vicious Worm'

77 Computer-based randomisation with sequence generation de

78 As in a computer-based robotic system, does the brain use some e

79 Computer-based simulation allows assessment of benefits

80 Computers can be compromised by encoding malware in DNA

81 d computational kernel installed on a remote computer cluster.

82 Here, a microfluidic system with computer controlled compound perfusion is presented that

83 Computer-controlled additive manufacturing (AM) processe

84 led the constant-distance imaging mode via a computer-controlled closed-feedback loop.

85 y motions as they practiced the control of a computer cursor to perform different tasks and games.

86 ces after adding a T2D module to an existing computer decision support system.

87 ely using radiologist-defined "semantic" and computer-derived "radiomic" features, respectively.

88 s paradigm to a dodecahedral viral capsid, a computer-derived nucleotide sequence is evolved de novo

89 will be completely broken once large quantum computers exist.

90 analyzer (VNA) for signal measurement and a computer for system control.

91 per session) of dichoptic training with the computer game Diplopia Game (Vivid Vision) run in the Oc

92 Two-photon computer generated holography (2P-CGH) recently demonstr

93 healthy Thai adults aged 18-49 years with a computer generated randomisation sequence (blocks of six

94 isation was by minimisation with a web-based computer generated system.

95 Randomisation was computer generated with a block size of three at each si

96 r who were randomly assigned (1:1) through a computer-generated adaptive biased coin design to either

97 A computer-generated allocation schedule stratified random

98 mly assigned (1:1), centrally according to a computer-generated allocation schedule, to receive ozane

99 icipants were randomly assigned (1:1), via a computer-generated allocation sequence (block size of fo

100 ere randomly assigned (1:1), with a sequence computer-generated by a minimisation process, to interve

101 The allocation sequence was computer-generated centrally and concealed to all person

102 Randomisation was computer-generated centrally in blocks of four, stratifi

103 were randomly assigned in a 1:1 ratio, via a computer-generated code, to receive lacosamide monothera

104 tory Thrombosis Outcomes Study (CANTOS) used computer-generated codes to randomly allocate 10 061 men

105 effects, patients were randomly assigned by computer-generated codes to three canakinumab doses (50

106 Quantitative evaluation on 300 realistic computer-generated image sequences demonstrated the effi

107 Randomisation was by computer-generated interactive web-response system and s

108 fied by hospital according to a pre-existing computer-generated list in a 1:1 ratio to receive SAP ea

109 , healthy adults were randomly assigned by a computer-generated list to receive 5 mug ZPIV or saline

110 ractices were randomly assigned (1:1), via a computer-generated list, to provide either a weight mana

111 rticipants were randomly assigned (1:1) by a computer-generated minimisation method to receive closed

112 We did the randomisation with a computer-generated minimisation system.

113 ons of these variables to the performance of computer-generated models for predicting polio transmiss

114 An external biostatistician used a computer-generated permuted block randomisation method,

115 Randomisation was done by computer-generated permuted block randomisation, with a

116 icipants were randomly assigned (3:1), via a computer-generated random number sequence integrated int

117 gned (1:1), via remote survey software using computer-generated random numbers, to receive either an

118 igned by a clinical trials unit (CTU) (using computer-generated random numbers, with allocation conce

119 Patients were randomly allocated (1:1) by a computer-generated random permuted block method (block s

120 Computer-generated random permuted blocks (mixed sizes o

121 Patients were randomly assigned (1:1:1) by a computer-generated random sequence to receive a subcutan

122 th off (the order of testing was chosen by a computer-generated random sequence, assigned by independ

123 We did the randomisation with a computer-generated random-sequence and interactive voice

124 ously polio vaccinated, were allocated after computer-generated randomisation by block-size of four,

125 rticipants were randomly assigned (2:1) by a computer-generated randomisation list and interactive vo

126 stician to vaccine groups or placebo through computer-generated randomisation lists.

127 A computer-generated randomisation procedure was used to s

128 PS), or control meningococcal vaccine with a computer-generated randomisation schedule (block size 6)

129 Participants were randomly assigned 1:1 by a computer-generated randomisation schedule prepared by th

130 Falpha treatment, and randomly assigned by a computer-generated randomisation schedule to receive a s

131 cist prepared the randomisation code using a computer-generated randomisation schedule with a block s

132 erlands were randomly assigned (1:1, using a computer-generated randomisation schedule) by site staff

133 teractive web or voice response system and a computer-generated randomisation schedule, prepared by a

134 to either aspirin or rivaroxaban based on a computer-generated randomisation schedule.

135 Patients were randomly assigned (1:1) with a computer-generated randomisation scheme to active treatm

136 Using a computer-generated randomisation sequence we randomly as

137 Randomisation was by computer-generated randomisation sequence, with variable

138 rolled trial with raters masked to an online computer-generated randomisation system assessing 1 y ou

139 ns were randomly assigned (1:1) by an online computer-generated randomisation system to receive eithe

140 rticipants were randomly assigned (1:1), via computer-generated randomisation with permuted blocks (s

141 A computer-generated randomization list was used to alloca

142 eb response system to assign patients with a computer-generated schedule, with stratification (presen

143 s done at the level of the individual with a computer-generated sequence and was stratified by centre

144 domly assigned via the study website using a computer-generated sequence to continue MDI or switch to

145 3-5 days), participants were assigned with a computer-generated sequence with permuted block randomis

146 Patients were randomly assigned (1:1) via a computer-generated sequential randomisation list to rece

147 The randomisation was achieved by computer-generated tables with block stratification acco

148 Randomisation was computer-generated with stratification by HIV-1 RNA (<50

149 Block randomisation (computer-generated, electronic allocation) was used to a

150 ive voice response system and a centralised, computer-generated, permuted-block design of block size

151 We based the randomisation on a computer-generated, permuted-block schedule stratified b

152 ed by viral hepatitis B or C coinfection and computer-generated.

153 In computer graphics, raster graphics encodes images on a s

154 sequence at once, resulting in the need for computer hardware with large shared memory.

155 Even though personal computers have become more powerful, data transfer times

156 le blueprint for scalable spin-based quantum computers in silicon.Quantum computers will require a la

157 l be paramount in successfully using quantum computers in the future.

158 riendly electronic system that enables human-computer interaction (HCI) for swallowing training in dy

159 xt and on the failure of neuroelectric brain-computer interface (BCI) communication attempts in CLIS,

160 Brain-computer interface (BCI) controlled prosthetic arms are

161 Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the fea

162 Neuroprosthetics that combine a brain computer interface (BCI) with functional electrical stim

163 tical signals through an intracortical brain-computer interface (iBCI).

164 We trained monkeys to operate a brain-computer interface in both two- and three-dimensional vi

165 Brain-computer interface-assisted motor imagery (MI-BCI) or tr

166 Brain-computer interfaces (BCIs) have the potential to restore

167 likely distinct capacities to control brain-computer interfaces.

168 imulation performed with Bidirectional Brain-Computer-Interfaces (BBCI) can artificially strengthen c

169 test social reward preference using a tablet computer (iPad), where two differently coloured buttons

170 rge-scale simulations on the special-purpose computers Janus and Janus II.

171 The computer model also predicts powerful effects of perturb

172 In silico analysis using a computer model of ventricular tissue incorporating these

173 Computer model simulations support the hypothesis that D

174 Using a computer model we investigated whether top-down induced

175 Computer modeling under the framework of a local-enhance

176 ched material, degradation, derivatives, and computer modeling.

177 In laboratory experiments and computer modelling we uncovered patterns of the foraging

178 Computer models can make transcranial electric stimulati

179 Computer models of increasing sophistication have predic

180 Petri net computer models were shown to be an effective method for

181 cluded are mobile phones, desktop and laptop computers, monitors, cathode ray tube and flat panel dis

182 of NEURON and a simple interface on a local computer or a mobile device.

183 aw data via any web browser using a personal computer or mobile device.

184 er and flexibility to be resident on a local computer or serve as a web-based environment, enabling e

185 sence of a patient or colleague and use of a computer or telephone during each activity was recorded.

186 and can be read either by a standard laptop computer or through our previously developed NutriPhone

187 mption that the attacker has a large quantum computer; post-quantum cryptosystems strive to remain se

188 Fuelled by increasing computer power and algorithmic advances, machine learnin

189 put RDF/eXtensible Markup Language (XML) for computer processing or display the HTML information on a

190 SimGen is a stand-alone computer program that reads a script of commands to repr

191 Our computer program-MIDcor written in the R programming lan

192 have made its electro-mechanical design and computer programme available online.

193 cil Clinical Trials Unit, where staff used a computer programme that implemented a minimisation algor

194 Through a computer-programmed virtual partner, we demonstrate adap

195 packages and sometimes further scripting or computer programming.

196 t be addressed algorithmically using various computer programs and available software, or manually.

197 Several computer programs have now been designed to predict RNA

198 Geneticists need new user-friendly computer programs that can analyze GBS data on desktop c

199 r, for they require testing all the possible computer programs that could produce the sequence to be

200 eadable, the size of most BMRB entries makes computer readability and explicit representation a pract

201 To bridge this gap, quantum computers require appropriate software to translate and

202 user-friendly and informative way, both for computer-savvy and non-expert users.

203 cuit solves this problem with a variant of a computer science algorithm (called locality-sensitive ha

204 to collaboration networks in statistics and computer science and to Wikipedia networks.

205 tenure-track faculty in all 205 PhD-granting computer science departments in the United States and Ca

206 try, biology, physics, material science, and computer science that have often required programmed spa

207 quivalence, building on approaches rooted in computer science to minimize basic models of computation

208 present the confluence of materials science, computer science, biology, and engineering.

209 g field that has emerged from the synergy of computer science, statistics and biology.

210 udied in a variety of fields from biology to computer science, still little is known about the impact

211 duals per species found in some sample), and computer scientists study the distribution of files per

212 Finally, using computer simulation and cell culture systems, we provide

213 Both computer simulation and in vivo dynamic voltage clamp of

214 isture levels were made using experiment and computer simulation based on measured dielectric propert

215 ry (BPT) and on Greaves et al.'s agent-based computer simulation derived from that theoretical model.

216 aser spectroscopy techniques and advances in computer simulation methods.

217 To use a computer simulation model based on Petri nets to evaluat

218 Computer simulation of an electrolyte current density wa

219 Computer simulation of molecular systems enables structu

220 Here, we study by computer simulation the dynamics of an unstructured drop

221 ehl et al. have combined empirical data with computer simulation to demonstrate that RAG-2 mice intra

222 reconstruct real-world visual field data by computer simulation to evaluate the time required to det

223 o a 'naive' data analysis approach, by using computer simulation, evaluation of differential site occ

224 ydrophobe (e.g., air/water) interfaces, both computer simulations and experiments have shown that cha

225 Computer simulations can aid in understanding how collec

226 This study thus demonstrates that computer simulations can now bridge the gap between meas

227 t will these striking properties observed in computer simulations carry over to hardware implementati

228 copy experiments on the recovered sample and computer simulations confirm its tetrahedral amorphous s

229 Computer simulations demonstrated invasive, acid-produci

230 g the existence of 2D crystals-and the first computer simulations foretelling 2D crystals (at least i

231 For the case of calcite (CaCO3 ) in water, computer simulations have been used to map the complex t

232 Combining computer simulations in APs with numerical calculations

233 Our molecular-scale computer simulations indicate that this alignment arises

234 The use of computer simulations is also not viable since it would t

235 Here we use 3D computer simulations of a microscopic model to reveal th

236 Using computer simulations of a ventricular myocyte model, we

237 Computer simulations of species-specific whole-muscle mo

238 We also perform computer simulations of SVs near the PM at resting activ

239 arthropods to test predictions obtained with computer simulations on whether dispersal ability influe

240 The computer simulations reproduced positive cooperativity i

241 he solvent energy drives ion adsorption, our computer simulations reveal that direct ion/graphene int

242 Together, our human imaging data and computer simulations show a fundamental connection betwe

243 Furthermore, computer simulations showed that the speed of judgment p

244 This task suits the capabilities of computer simulations techniques, which allow to easily s

245 We demonstrate experimentally and in computer simulations that magnetic microfloaters can sel

246 Furthermore, we demonstrate with computer simulations the logarithmic increase of displac

247 microbalance with dissipation monitoring and computer simulations to quantify the interaction of poly

248 Computer simulations utilizing primary data explored UF'

249 sed NMR spectroscopy, X-ray crystallography, computer simulations, and isothermal titration calorimet

250 transition measurements as well as molecular computer simulations, and thermodynamic modeling were pe

251 In agreement with computer simulations, low dispersal ability species gene

252 By combining activity clamp with computer simulations, the present study provides a poten

253 Using computer simulations, we evaluate the effects of genetic

254 In combination with cell labelling and computer simulations, we propose a novel model of heart

255 tificial chemical evolving system outside of computer simulations.

256 Retinal microvasculature was measured using computer software (Singapore I Vessel Analyzer, SIVA ver

257 exposes critical factors of scaling quantum computers, such as qubit connectivity and gate expressiv

258 ve glioma patients was highly accurate using computer-supported predictive models based on in vivo, e

259 d (1:1), in blocks by site, by a centralised computer system to receive oral acarbose (50 mg three ti

260 Conclusion An automated machine learning computer system was created to detect, anatomically loca

261 Purpose To create and validate a computer system with which to detect, localize, and clas

262 oup allocation was concealed using a central computer system.

263 n a fully unbiased manner using eye-tracking computer systems.

264 the ultimate limit being a universal quantum computer that can solve general classes of hard problems

265 A quantum simulator is a type of quantum computer that controls the interactions between quantum

266 ast parallel search tool for a heterogeneous computer that couples CPUs and GPUs, to accelerate BLAST

267 re not yet large enough to eclipse classical computers, this experiment exposes critical factors of s

268 Participants were randomly allocated by computer to either the quadpill or matching placebo for

269 an reliably compare the power of a classical computer to the power of a quantum computer.

270 he imprinted surface interfaces readily with computers to display images as well as video.

271 of the cases (eg, staff forgetting to bring computers to patients at visits), patients feeling "too

272 mentation, anterior segment OCT, ultrasound, computer tomography (CT) and magnetic resonance imaging

273 l devices (magnetic resonance imaging, X-ray computer tomography), and medical therapies (photochemot

274 Innovative computer-training regimes for executive functions have m

275 Computer-tutored birds exhibited unexpectedly strong her

276 o identify genetic contributions to tempo we computer-tutored juvenile Bengalese finches (Lonchura st

277 ft activities (HR, 0.72; 95% CI, 0.57-0.90), computer use (HR, 0.70; 95% CI, 0.57-0.85), and social a

278 ranscriptomics provides access to non-expert computer users and small research groups to a scalable s

279 e essential in visual search, and argue that computer vision - especially deep learning - may offer a

280 I reviewed 187 existing applications of computer vision and divided articles into ecological des

281 The algorithm improves upon shortcomings of computer vision by effectively recognizing seals in aggr

282 nt objects classes in scenes from a standard computer vision data set (the PASCAL VOC 2007 dataset).

283 In this paper, we introduce a computer vision method to measure changes in the physica

284 ucture, we match theory and experiment using computer vision methodologies to determine the flexoelec

285 Here we present an automated computer vision pipeline to reliably track populations o

286 Using deep learning-based computer vision techniques, we determined the make, mode

287 I provide a brief primer on ecological computer vision to outline its goals, tools and applicat

288 Computer vision uses image features, such as colour, sha

289 ual search and combine object detectors from computer vision with a recent model of peripheral poolin

290 uccess in image, video and audio processing, computer vision, and speech recognition, their applicati

291 We describe a computer vision-based mosaicking method for in vivo vide

292 n per gene by OrthoReD executed on a desktop computer was <15 min even for the largest dataset tested

293 Time spent using a computer was scattered throughout the day, with the heav

294 be simultaneously run and viewed on a laptop computer while simulating large systems of over 20,000 o

295 Our results demonstrate that quantum computers will be able to tackle important problems in c

296 n-based quantum computers in silicon.Quantum computers will require a large network of coherent qubit

297 iologists, formed as a synergy of human plus computer, will provide interpretations using data extrac

298 rithm is a hallmark application of a quantum computer with a well-known speedup over classical search

299 a prototype for a coherent adiabatic quantum computer with all-to-all Ising interactions and, therefo

300 anging with the increased power and speed of computers, with the "big data" revolution having already