ライフサイエンスコーパス: hardware

1 cell enumeration using inexpensive benchtop hardware.

2 ed by the radio frequency power transmission hardware.

3 o thousands of human genomes using commodity hardware.

4 s of terabytes of data feasible on commodity hardware.

5 provide a fast implementation using graphics hardware.

6 so allows the use of older and less powerful hardware.

7 assembly and integration of MOFs with device hardware.

8 need for pipelines and software on personal hardware.

9 ation stages run on accelerated neuromorphic hardware.

10 nsory stimuli, and the constraints of neural hardware.

11 sting Gibbs samplers redesigned for parallel hardware.

12 ly point-and-click interface using commodity hardware.

13 can easily/economically be run on commodity hardware.

14 integrating the optical and nuclear imaging hardware.

15 no boards to provide affordable and flexible hardware.

16 t without the need for additional instrument hardware.

17 omputing and their implementation on quantum hardware.

18 minutes rather than days using off-the-shelf hardware.

19 lack of user-friendly, flexible, accessible hardware.

20 a variety of algorithms without altering the hardware.

21 well over two orders-of-magnitude on desktop hardware.

22 al fluorescence intensity values on graphics hardware, a crucial feature that allows graphics-process

23 ensive, widely available benchtop laboratory hardware, a digital camera, and a simple algorithm, this

24 modern computing architectures, software and hardware accelerated algorithms for bioinformatics data

25 o clients and the lack of native support for hardware-accelerated applications in the local browser u

26 nute index with the flexibility and speed of hardware-accelerated dynamic programming algorithms to a

27 est web technologies to provide interactive, hardware-accelerated three-dimensional representations o

28 traditional software approach and innovated hardware acceleration technologies.

29 We propose GateKeeper, a new hardware accelerator that functions as a pre-alignment s

30 cartilage; however, it requires specialized hardware, acquisition sequences, and long imaging times.

31 However, standard permanent electronic hardware acts as a nidus for infection: bacteria form bi

32 Supported by the improvements in hardware, advances in pulse sequence design and image re

33 Strategies for reimplanting hardware after infection vary widely and have not previo

34 ation/infection, chronic indwelling vascular hardware, age >/=43 years, recent hospitalization in an

35 mportantly, the algorithm reported herein is hardware agnostic and is capable of post-processing bina

36 The results showed that the provision of the hardware alone (the fluoride-removal filter) was not eno

37 nts in the program-only group were given the hardware and 2 games at the completion of the 16-week pr

38 and spatial resolution and requiring special hardware and acquisition modes.

39 ection method that can be run on inexpensive hardware and can make use of multicore parallelization w

40 spectrograph system, including the detection hardware and connects with a smartphone through a microU

41 emphasising the importance of both emotional hardware and contextual learning.

42 rmal use of a computer without any change in hardware and converts it to a PD motor index.

43 formance, to prepare samples, and to control hardware and data processing with our software.

44 nd expansion catalyzed by changes in imaging hardware and gains in computational processing.

45 et of gate operations that are native to the hardware and have a mean fidelity of 98 per cent.

46 products, and several national and regional hardware and home-improvement retailers have voluntarily

47 Advances in detector hardware and image-processing software have led to a rev

48 Recent developments in detector hardware and image-processing software have revolutioniz

49 While future polarizing and low-field MRI hardware and imaging sequence developments can further i

50 cal gates implementing the algorithm on real hardware and incorporating topological quantum error cor

51 rce by reorganizing existing data, upgrading hardware and infrastructure, creating new tools, incorpo

52 Treatment consisted of removal of all hardware and intravenous administration of antibiotics.

53 echanisms of stimulation, and description of hardware and programming techniques.

54 imilar effects but requires costly implanted hardware and regular surgical maintenance.

55 substantially over the past 20 years due to hardware and software advances.

56 , there have been developments in biosensing hardware and software applicable to the field of genetic

57 The custom hardware and software are designed to be easy to use.

58 Technological advances in both computer hardware and software as well as biological chemistry ha

59 blocks of machine learning programs, but the hardware and software challenges are still considerable.

60 Over the past decade, substantial hardware and software developments in CT technology, esp

61 Recent technical advances in hardware and software developments significantly enhance

62 Pathologists now team with hardware and software engineers to exploit remarkable de

63 hlights significant advancements in detector hardware and software for multiwavelength analytical ult

64 h innovation is the current state-of-the-art hardware and software for positron emission tomography m

65 andomised intervention studies which combine hardware and software interventions, in particular for b

66 In-vitro tests confirmed that both hardware and software met the specifications.

67 Hardware and software modifications during instrumentati

68 The effects of the hardware and software on behavior and thus filter use we

69 information about recent improvements to the hardware and software platform that mapper(2) is based o

70 Imager-specific hardware and software settings remained constant over th

71 Here we present a new integrated hardware and software system that combines video trackin

72 Further improvements in both hardware and software technologies should further advanc

73 , I discuss the recent breakthroughs in both hardware and software that transformed cryo-microscopy,

74 competent with computers and wish to extend hardware and software to interface more fluidly with neu

75 In this work, novel hardware and software were developed to automate the mic

76 Metabolon's hardware and software were used to identify peaks and co

77 used custom-built platforms with specialized hardware and software, along with specific sample handli

78 icroBAR is based entirely around open source hardware and software, and in the accompanying online su

79 The proposed hardware and software, called bioluminescent-based analy

80 In recent years, many advances in CT hardware and software, for example, automatic exposure c

81 Computers are organized into hardware and software.

82 n was developed using commercially available hardware and software.

83 efforts, stimulating research in alternative hardware and stirring controversy.

84 However, the introduction of HAO hardware and supporting software adds considerable compl

85 ices after extraction of previously infected hardware and that the risk of a second infection is low,

86 y analysis pipeline and deployed it in local hardware and the Amazon Web Services cloud via the DNAne

87 umps, implantation of deep brain stimulation hardware, and general neurosurgery and head trauma.

88 xternal experimentation and data acquisition hardware, and includes standard modules for implementing

89 not require expensive or technically complex hardware, and increasing numbers of researchers are adop

90 s (<60 muL), is compatible with existing NMR hardware, and is made from readily available materials.

91 pplications like medical microbots, military hardware, and nanosatellite systems.

92 Us have been reduced to fit widely available hardware, and we show that the use of single precision a

93 Purpose To assess the performance of hardware- and software-gating technologies in terms of q

94 This hardware approach to multichannel source separation can

95 nition and binding, as better algorithms and hardware architectures increase their use.

96 s evolutionary algorithms that take place in hardware are developed, opening up new avenues towards a

97 ion and validation of the model into robotic hardware (as a representative of an active vision system

98 verse events occurred (two infections in DBS hardware at 2 and 7 weeks postoperatively, and one episo

99 the same acquisition parameters and scanning hardware at each site.

100 We also propose a hardware-aware optimal allocation scheme of scarce resou

101 CUDAMPF is designed as a hardware-aware parallel framework for accelerating compu

102 tware based utilizing standard deterministic hardware based on the transistor which provides the gain

103 The introduction of hardware-based adaptive optics (HAO) has pushed the limi

104 a field programmable gate array for strictly hardware-based computation and algorithm optimization.

105 g in a clinical trial comparing conventional hardware-based gating with a data-driven approach and to

106 near electronic networks as an implementable hardware-based platform toward the creation of physicall

107 , channel number, etc.) from any acquisition hardware, but also setup and sample description, informa

108 often repurposed so that the same biological hardware can be used for distinct computations.

109 Modified UHPLC hardware can be used to obtain sub-second separations pr

110 ction, the design and engineering of quantum hardware can benefit from a 'bottom-up' approach whereby

111 his gel-based capsule and compact ultrasound hardware can serve as a platform for triggering local re

112 utually decoupled nested radiofrequency coil hardware capable of transmit and receive on each respect

113 The technology consists of silicon hardware central pattern generators (hCPGs) that may be

114 rmined by long-distance plasticity, a set of hardware changes occurring in the developing brain after

115 Some hardware changes were needed to adapt the incompatible f

116 acement of complicated and expensive optical hardware components with algorithms implemented on a sta

117 e format with a commensurately optimized DAC hardware configuration to accurately reproduce, from dig

118 the program and active gaming group received hardware consisting of a game console and motion capture

119 fluid associated with central nervous system hardware, Corynebacterium kroppenstedtii (100%) in breas

120 The simplicity of the system hardware could enable low-cost three-dimensional imaging

121 sis, the large number of associated software/hardware dependencies, and the detailed expertise requir

122 tructed as respiratory-gated images by using hardware-derived respiratory triggers and software-deriv

123 ts to improve SMFCs have been limited to the hardware design of the bioelectrochemical device.

124 rovides an extensive set of slurry solvents, hardware designs, and a flowchart, a logical approach to

125 l Zn3Cys9 cluster, demonstrating that recent hardware developments make this approach feasible for si

126 required in a recently proposed scheme for a hardware-efficient protected quantum memory using Schrod

127 We thus achieve hardware-efficient random access multi-qubit control in

128 hese advances can be roughly classified into hardware (eg, magnets, gradients, radiofrequency [RF] co

129 Although we have at hand most of the "hardware" elements that mediate cell communication event

130 We accomplish this hardware embedded self-control programming using normall

131 f next generation sequencing data in current hardware environment, making system upgrades unnecessary

132 Sequencing data becomes available, existing hardware environments do not provide sufficient storage

133 le contraction, but these require customized hardware, expensive apparatus, and advanced informatics

134 erations (schedule-shifting and lighting) or hardware (extravehicular activity suits and exercise equ

135 to I&D did not affect the rate of nonunion, hardware failure, length of stay, or mortality.

136 eport for the first time, an integral set of hardware, firmware, software, and Glassware that enabled

137 ories of these issues include: refinement of hardware for best performance, optimization of stimulus

138 Essential hardware for braiding is a network of crystalline nanowi

139 X-space MPI has allowed us to optimize the hardware for fi ve MPI scanners.

140 implantation and necessitates removal of all hardware for optimal treatment.

141 Conventional hardware for such studies, however, physically tethers t

142 nstrument was developed using mature, robust hardware for the measurement of carbon-14 in biological

143 everages Software Guard Extensions (SGX) and hardware for trustworthy computation.

144 running on inexpensive Raspberry Pi computer hardware, for which students may be granted full adminis

145 this latter technique requires sophisticated hardware, gadolinium-perfusion can be realized using any

146 to a Chimera graph, which is the non-planar hardware graph of the devices built by D-Wave Systems In

147 oftware) that takes advantage of high-memory hardware (>48 GB) and variant caller (Isaac Variant Call

148 Patients who retained original hardware had a 11.3% repeat infection rate.

149 At the same time, neuromorphic hardware has matured to a state where fast silicon imple

150 n and parallelization of modern-day computer hardware has profound applications for biochemical detec

151 oped cell lines and calcium release analysis hardware, has created a new and faster method for determ

152 emes, coupled with continued improvements in hardware, has significantly reduced this size limitation

153 Steady improvements in computer hardware have been supported by periodic doubling of tra

154 ances in simulation techniques and computing hardware have created a substantial overlap between the

155 th decreasing costs and advances in computer hardware have made computational approaches to drug disc

156 In addition to providing safe water "hardware" (i.e., new infrastructure or equipment) to pop

157 Group 1 only received the hardware, i.e., the fluoride-removal filter.

158 patients undergoing orthopedic surgery with hardware implantation and warrants further study.

159 undergoing elective orthopedic surgery with hardware implantation at the Michael E.

160 undergoing elective orthopedic surgery with hardware implantation.

161 complexity of TC neuron model restrains its hardware implementation in parallel structure, a cost ef

162 ors have emerged as promising candidates for hardware implementation of artificial synapses - the key

163 logical synapses, representing an advance in hardware implementation of neuromorphic functionalities.

164 its approximately 10(14) synapses, makes the hardware implementation of neuromorphic networks with a

165 e sophisticated data structures and advanced hardware implementation.

166 Moreover, hardware implementations of plastic velocity fields self

167 served in computer simulations carry over to hardware implementations?

168 grammable photonic processor, where a common hardware implemented by a two-dimensional photonic waveg

169 gether with a brief introduction of specific hardware improvements permitting the practical implement

170 Further, hardware improvements will be needed to take full advant

171 ces in handheld beta cameras have focused on hardware improvements, but we apply machine vision to th

172 els and large insertions on standard compute hardware in less than a tenth of the time that comparabl

173 so due to its subsequent high sensitivity to hardware instabilities affecting its precision.

174 ocus is on design and fabrication of robotic hardware instead of software control.

175 ruction and modification of the software and hardware instrumentation for nanoscale SECM are explicit

176 process by minimizing the reliance on large hardware instrumentation.

177 and distribution chain, maintained Dispenser hardware, integrated Dispensers projects within larger w

178 ign features intended to provide a versatile hardware interface compatible with any NMR spectrometer.

179 The dedicated and miniaturized electronic hardware interface enables up to six parameter detection

180 ers must pay close attention to the software-hardware interface to ensure that the three main safety

181 es and describe the incorporation of the new hardware into existing workflows for cellular sample pre

182 articular infection; 64 (52%) had orthopedic hardware involvement.

183 The hardware is an extension of the Open AUC MWL detector de

184 The IM hardware is constantly being improved, especially in ter

185 t morbidity and mortality, specifically when hardware is implanted in the patient.

186 is droplet digital PCR (ddPCR), however, the hardware is prohibitively expensive for widespread utili

187 ogical targets on the nanoscale, but complex hardware is required to perform SMLM in thick samples.

188 ry-standard MPI protocol, and no specialised hardware is required.

189 ing particular quantum applications with the hardware itself will be paramount in successfully using

190 e been a number of technology updates in the hardware itself, focusing on strut design.

191 like proton transfer, involve sophisticated hardware, lack robustness, and place severe design limit

192 em that involves first mapping an unreliable hardware layer of spiking silicon neurons into an abstra

193 compression to be performed on the physical hardware layer rather than in the postprocessing stage,

194 mplex optimization problems directly, on the hardware level, which may be used for self-routing of op

195 hable classes could be identified within the hardware-like component: those transcripts that are high

196 rly are comprised of a relatively unchanging hardware-like gene pattern.

197 need to pulse on X channels, thus overcoming hardware limitations of conventional spectrometers.

198 Greater anxiety in two patients and hardware malfunction in three patients were noteworthy a

199 ared with vendor-supplied respiratory-gating hardware methods, software gating performed favorably, b

200 model for the human mind-brain system (brain=hardware, mind=software).

201 omparable to literature reports, and because hardware modification was unnecessary, it was convenient

202 the computer software and does not need any hardware modification.

203 No microscope hardware modifications are required, making the techniqu

204 No hardware modifications or specialized instrument tuning

205 Software and hardware modifications were employed, described in detai

206 without column switching, isotopic labeling, hardware modifications, or costly infrastructure investm

207 uiring only single-frame imaging without any hardware modifications.

208 n real time without the need for complicated hardware modifications.

209 target analytes without the need for costly hardware modifications.

210 Because of its flexible design (software and hardware), more complex array scan patterns, only found

211 algorithms and a spatial filter as the only hardware needed to give flow cytometers imaging capabili

212 reconfigurable logic to magnonic devices or hardware neural networks.

213 Compared with standard hardware, new-generation mobile devices reduce the cost

214 t it is necessary that the implementation of hardware of this nature is accompanied by evidence-based

215 Installation of this hardware on another in vivo microCT platform resulted in

216 by improving the algorithm or the underlying hardware on which the calculations are performed.

217 iba exploits recent improvements in graphics hardware, OpenGL toolkits and many standard high-perform

218 p described here, or in even less time using hardware optimized for fixed target SFX.

219 rinsic background noises without significant hardware or computational resources.

220 ur method does not need external respiratory hardware or modification of the normal clinical MR seque

221 lines without the need for onsite processing hardware or technical support.

222 ld motivate further investigations combining hardware-oriented advances in computing systems with alg

223 ty, and selective recovery provide a general hardware platform that can be reprogrammed for multiple

224 sion (PlantCV) was developed as open-source, hardware platform-independent software for quantitative

225 Conventional hardware platforms consume huge amount of energy for cog

226 segmentation evaluations, (6) computational hardware platforms used for segmentation acceleration, a

227 describe a high-performance, low-cost, open hardware pressure ejection system (Openspritzer), which

228 anly divided into those with software versus hardware problems?

229 For general scalability of such algorithms, hardware, quantum error correction, and the algorithmic

230 This opens up tantalizing prospects for hardware realization of a low-power brain-inspired compu

231 10 subjects with PD and fully implanted DBS hardware receiving efficacious stimulation.

232 No significant adverse events or hardware-related issues occurred.

233 The automated hardware released microrafts with 98% efficiency and col

234 lly, considerations on instrument and column hardware requirements are discussed.

235 the node, thereby significantly reducing the hardware requirements for each user added to the network

236 ingle fibre levels, experimental demands and hardware requirements increase, limiting biomechanics re

237 Unfortunately, hardware restrictions often limit the sensor performance

238 Use of low-dose detector hardware results in significant reductions in dose to su

239 g unit and standard MR imaging protocols and hardware reveals prominent functional connectivity patte

240 on of fMRI data from patients with implanted hardware, robust activation changes were identified in t

241 rom the current reliance on expensive server hardware running "download and install" software has alr

242 (ii) perform inference while preserving the hardware's underlying energy-efficiency and high through

243 an the timing uncertainty has led to various hardware schemes to reduce timing uncertainty.

244 include: (i) use of open-source software and hardware seamlessly allowing for replication and further

245 P reading center was developed with standard hardware, secure Internet access, and customized image v

246 This work paves the way for memristors in hardware security applications for the era of the Intern

247 is natural stochasticity can be valuable for hardware security applications.

248 ality, loss of reagent stability, suboptimal hardware settings, or inaccurate gating.

249 In a hardware setup enabling immersive audiovisual interactio

250 We designed a hardware setup that integrates traditional video cameras

251 A gap still exists, however, between the hardware size and reliability requirements of quantum co

252 It also includes extensive improvements in hardware, software and graphical interfaces.

253 The vagaries of hardware, software and natural language will always ensu

254 onts, spurred by fundamental developments in hardware, software, and algorithms.

255 aneous control of them demands funds for new hardware, software, and licenses, in addition to very sk

256 ble that predicted by the organic-functional/hardware-software dichotomy.

257 collected on one manufacturer's 12-lead ECG hardware/software into that of any other.

258 ray (FPGA) was used to implement an embedded hardware/software solution and interface to enable real-

259 osensor output signals, connected via custom hardware/software, activated local or distant neurotrans

260 Ethoscopes provide a software and hardware solution that is reproducible and easily scalab

261 With current MD software and hardware solutions, predictions can be obtained in a mat

262 w microscopes with capabilities beyond their hardware specifications in terms of sensitivity and reso

263 ks of the abstract layer are realized on the hardware substrate by mapping the neuron circuit bias vo

264 e eliminating the need for expensive optical hardware, superior resistance to photobleaching, amenabi

265 change of a synaptic weight in an artificial hardware synapse depends not only on the pre-synaptic an

266 eural network on a configurable neuromorphic hardware system that can readily be applied to real-worl

267 This paper draws attention to a hardware system which can be engineered so that its intr

268 al domain, and demonstrate that even a small hardware system with only 88 memristors can already be u

269 variation that is inevitably present on the hardware system.

270 y electronics, environmental sensors, secure hardware systems and others.

271 demonstrated, paving the way for intelligent hardware technology with up-scaled memristive neural net

272 eprogrammable polymer (SRP) acts as computer hardware that can be reformatted and reprogrammed repeat

273 This work can potentially pave the way for hardware that directly mimics the computational units of

274 new method is based on a recently introduced hardware that enables the determinations to be performed

275 ossible excitation strategies by current MPI hardware that only does sinusoidal drive waveforms at ve

276 ng widely available and inexpensive benchtop hardware, the approach provides a highly accessible low-

277 two-photon laser-scanning microscopy (TPLSM) hardware, the integration of two-photon excitation with

278 Due to the minimal hardware, the system is robust and measurements are high

279 MP parallelization and scales to hundreds of hardware threads.

280 med in a way that is blind to the underlying hardware, thus allowing a comparison of identical quantu

281 e scale data to be computed on very moderate hardware, thus enabling us to investigate the BWT as a t

282 with high sensitivity and robust compatible hardware to fulfill their promise of versatile, on-site

283 ing platforms, many specifically tailored in hardware to implement a particular algorithm or execute

284 DNA-PAINT) with spinning disk confocal (SDC) hardware to overcome this limitation.

285 reliance on volumetric methods or expensive hardware to record plant structure.

286 from a circulating melanoma cell immediately hardware-triggers a lethal pinpoint laser irradiation to

287 of these patients had central nervous system hardware, two patients did not have a history of a neuro

288 features automatically work on all supported hardware types (including both CPUs and GPUs) and perfor

289 The framework is hardware vendor independent and uses speckle tracking (e

290 An improved mass spectrometry interface hardware was built up to minimize the post-decompression

291 confidence interval [CI]: 14.0%, 19.8%), and hardware was selected as superior 6.2% of the time (41 o

292 Using commonly available hardware, we built a customizable, open-source platform

293 By exploiting commodity computer gaming hardware, we have developed an application that can be r

294 ro and the investment costs for the modified hardware were 630 Euro.

295 tion of the applied waveforms simplifies the hardware while greatly increasing the capabilities of li

296 n this bioartificial endocrine pancreas, the hardware will be represented by hpaECMs, whereas the sof

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

298 An ultrasound hardware, with a focused ultrasound (FUS) transducer and

299 e times faster than BWA + GATK on equivalent hardware, with comparable accuracy as measured by trio c

300 l dynamics of the impedance of implanted DBS hardware, with potential therapeutic implications.