ライフサイエンスコーパス: phone

1 nonusers (owning only old-technology mobile phones).

2 rovides service to collect data using mobile phones).

3 ealth care, yet most have access to a mobile phone.

4 ost 3D-printed sample holder attached to the phone.

5 ction using a hand-held UV source and camera phone.

6 Interviews were audio recorded over the phone.

7 t-of-care quantification of TSH using a cell phone.

8 (LTE4) for wireless communication with cell phone.

9 ost 3D-printed sample holder attached to the phone.

10 le, and can transfer test results via mobile phone.

11 liomas and the self-reported location of the phone.

12 ed on light emitting diodes (LEDs) and smart phones.

13 o answer the mRS questionnaire in the mobile phones.

14 e phone application in their personal mobile phones.

15 However, 95% of this group has cellular phones.

16 ry tasks, including texting and dialing cell phones.

17 in nurse/surgeon communication using mobile phones.

18 rs map local mosquitoes using their personal phones.

19 ntal monitoring and motion sensors in mobile phones.

20 nces which took us from vacuum tubes to cell phones.

21 ing (1) motivational coaching at home and by phone, (2) mailed educational materials, and (3) text me

22 70 M USD unrecovered in computers and mobile phones, 2006-2014) due to operations that fail to target

23 ta were successfully extracted from 24 of 50 phones (48%; 95% CI, 35-62%).

24 y personalised text messages to their mobile phones about diet quality and physical activity for 12 m

25 As mobile phone access continues to expand globally, opportunities

26 Touchscreen phones also require repetitive finger movements, but whe

27 ic intensity was also measured using a smart phone and computer software at a linear range of 0.1-100

28 sting (mobiNAAT) platform utilizing a mobile phone and droplet magnetofluidics to deliver NAAT in a p

29 Using both mobile phone and GPS data, we discover the existence of two dis

30 cally use the communication between a mobile phone and its nearest antenna tower to infer position, l

31 lows monetary value to be stored on a mobile phone and sent to other users via text messages, has bee

32 Data transmission from the sensors to a cell phone and the Internet enable continuous monitoring.

33 mately one dollar USD (assuming you have the phone and the software are already available).

34 formed in an iOS application directly on the phone and verified using the code written in MATLAB.

35 EDs) are in widespread use in today's mobile phones and are likely to drive the next generation of la

36 , that used random-digit dialing of cellular phones and benchmarked this methodology against that of

37 ons of commuting fluxes per link from mobile phones and census sources are similar and highly correla

38 the availability of data derived from mobile phones and other dynamic data sources.

39 ct communication and powering between mobile phones and printed e-tags.

40 e quantify participant activity using mobile phones and relate activity measured during real world ac

41 uss recent developments on the use of mobile phones and similar devices for biosensing applications i

42 portable screen-based media device (eg, cell phones and tablet devices) access or use in the sleep en

43 tible with modern mobile web browsers (e.g., phones and tablets), allowing easy integration of these

44 interface to the Galaxy system through smart phones and tablets.

45 cing the limit of detection (LOD) for mobile phones and webcams from 1000 nM to 10nM.

46 ntact with close others via text message (or phone) and used Twitter for critical updates during the

47 ts such as desktops, servers, laptops, smart phones, and tablets.

48 ed electromagnetic energy radiated from cell phone antennae into ex vivo brain tissue.

49 A mobile phone app (Allergy Diary, Google Play Store and Apple Ap

50 A mobile phone "app" was also capable of reading the test result

51 ood obesity and integrate them into a mobile phone application (App).

52 Three months after inclusion, the mobile phone application automatically prompted the study parti

53 The mobile phone application contained a set of 20 questions, based

54 nd/or caregivers were equipped with a mobile phone application in their personal mobile phones.

55 ments are wirelessly transferred to a mobile phone application that geo-tags the data and transmits i

56 We used a time-stamped-picture mobile phone application to record all food intake across 7 con

57 Despite an explosion of mobile phone applications aimed at physical activity and other

58 for treatment-eligible participants, mobile phone appointment reminders, health educational packages

59 monstrate that commercially available mobile phones are a powerful tool for acoustically mapping mosq

60 Modern cell phones are a ubiquitous resource with a residual capacit

61 communication technology, especially mobile phones, are nearly equal in magnitude to the mean eff ec

62 The results show good use of a mobile phone as an analytical instrument.

63 Phone-back interview may result in different scores for

64 electromagnetic fields (RF-EMF) from mobile-phone base stations and the development of nonspecific s

65 odeled far-field RF-EMF exposure from mobile-phone base stations at the home addresses of the partici

66 trast to modeled RF-EMF exposure from mobile-phone base stations, perceived exposure was associated w

67 opose and demonstrate a new miniature mobile phone based system for ELISA (MELISA).

68 radiation based on travel times, and mobile-phone based).

69 results from the benchtop apparatus, a cell-phone-based apparatus was designed which utilized the em

70 Mobile phone-based automatic assessments of mRS performed well

71 ions that incorporate traditional and mobile-phone-based education will help create smoke-free homes

72 Mobile phone-based health interventions (mHealth) have been sho

73 in combination with a cost-effective mobile-phone-based microscope can generate color images of spec

74 advancements in mobile technology, cellular phone-based mobile applications (apps) may be used in th

75 We find that mobile phone-based mobility estimates predict the geographic sp

76 ite diagnostics with a cost-effective mobile-phone-based multimodal microscope.

77 e therefore developed a point-of-care mobile phone-based platform that can quickly characterize a pat

78 This phone-based point-of-care system provides the potentiall

79 ain the most cost-effective method of mobile-phone-based reminder.

80 Mobile-phone-based reminders of scheduled HIV appointments for

81 Mobile-phone-based smoking cessation intervention has been show

82 Coupled with a new cell phone-based test reader platform (Smart Reader), the NDO

83 ugh d.c. power for charging a smart watch or phone battery, is also successfully developed.

84 to capture human mobility measured by mobile phones; both severely overestimate the spatial spread of

85 mixture of metals typically found in mobile phones by extraction into toluene from an aqueous HCl so

86 s of bed availability (N = 346, 97%); single phone call activation of catheterization laboratory (N =

87 e participants were recruited by a mailer or phone call and completed a questionnaire to measure six

88 Mobile phone call data provide a new, first-order source of inf

89 data sources, such as medical claims, mobile phone call data records, and geographically tagged tweet

90 Allocation to treatment group was done by a phone call from the hospital to the Medical Research Cou

91 call, or concomitant text message and mobile phone call increase attendance at medical appointments f

92 ctional neurologic outcomes were assessed by phone call or in-person clinic visit at 1, 3, 6, and 12

93 i) proxy mobility data extracted from mobile phone call records, and (iii) the radiation model calibr

94 ive method of reminder was text message plus phone call, but text messaging alone was the most effici

95 nders sent to carers by text message, mobile phone call, or concomitant text message and mobile phone

96 discharged from the ED received a follow-up phone call.

97 data analysis techniques to study the mobile phone calling activity of people in large cities to infe

98 The recent emergence of mobile phone calling data and associated locational information

99 ty periods in the people's aggregated mobile phone calling patterns and infer these to represent the

100 a unique 18-mo dataset that combines mobile phone calls and survey data to track changes in the ego

101 eer mentor while hospitalized, followed by 5 phone calls in the 10 weeks after discharge.

102 Remote [POWeR+R]; up to five emails or brief phone calls over 6 months).

103 on to PCPs via secure e-mail and, if needed, phone calls to ensure message receipt.

104 procedure; and (3) follow-up postprocedural phone calls to patients by staff, if appropriate.

105 rmed tasks-including event documentation and phone calls to report events-similar to real monitoring

106 ough significant resources, including repeat phone calls, are required.

107 vement, cargo shipping volume and inter-city phone calls, as well as bilateral trade flows between na

108 rough the Dutch population registry, patient phone calls, general practitioners, and hospital records

109 Time spent on phone calls, numbers of connected social ties, and tie s

110 n the ICU in the form of condolence letters, phone calls, or postintensive care meetings.

111 also used through face to face discussions, phone calls, text messages, and occasional emails depend

112 ad not being exclusively used for all mobile phone calls, the results were similar.

113 The LITE group received 2 follow-up phone calls, whereas the PLUS group received biweekly ca

114 isability, and duration and number of office phone calls.

115 collaborations, Twitter mentions, and mobile phone calls.

116 es using a spotting automatic system, mobile phone camera and a computer with developed software for

117 hich utilized the embedded flash in the cell phone camera as the light source, piped the light with a

118 ppb concentrations is described using a cell phone camera or a hand-held optoelectronic nose.

119 The phone camera then photographs the capillary tube and ana

120 enser and a 20x objective lens with a mobile phone camera to create an inexpensive, portable and robu

121 ification could also be imaged with the cell phone camera using flash as the excitation source.

122 ra-based photometer (constructed from a cell phone camera, a planar light source, and a cardboard box

123 ing conditions obtained with a consumer cell-phone camera, and to automated cloud-based processing of

124 nd the ability to image results using a cell phone camera.

125 ns of spots is monitored in real time by the phones camera using the embedded flash LED as the illumi

126 electronic devices (e.g., scanners and cell-phone cameras).

127 elerometry-based technologies such as mobile phones can be used to evaluate real world activity for m

128 MEMS accelerometers--found in most smart phones--can be mass-produced remarkably cheaply, but non

129 Our results show that phones' chemistries reflect a personalized lifestyle pro

130 g anonymized traffic speed data from Android phones collected through Google Maps, we investigated wh

131 er a summer period, and deficiencies in cell phone communications and battery life.

132 technology, solar power, and automated cell-phone communications was deployed and validated in a 50

133 ata, such as those from e-commerce and smart-phone communications, makes it possible to probe into an

134 n census commuting networks, once the mobile phone commuting network is considered in the epidemic mo

135 nd computer devices (SACD), including mobile phones, contain significant amounts of precious metals i

136 d electronic equipment (WEEE) such as mobile phones contains a plethora of metals of which gold is by

137 ive under 3 conditions (no distraction, cell phone conversation, and texting).

138 Cell phone conversation, texting, and no distraction while dr

139 sonal and spatial data on travel from mobile phone data allows us to characterize seasonal fluctuatio

140 Here, we use spatially explicit mobile phone data and malaria prevalence information from Kenya

141 Additionally, as a general rule, the mobile phone data are not linked to demographic or social ident

142 ulation travel (fluxes) inferred from mobile phone data are predictive of disease transmission and im

143 We show that commuting networks from mobile phone data capture the empirical commuting patterns well

144 nd the mobility fluxes extracted from mobile phone data collected in a western European country.

145 Additionally, the microBAR features cell phone data connectivity and GPS sample geotagging which

146 antify seasonal travel patterns using mobile phone data from nearly 15 million anonymous subscribers

147 rent spatial scales and use anonymous mobile phone data from nearly 15 million individuals to analyze

148 stimation of commuting traffic in the mobile phone data is observed.

149 an resting or sleeping patterns using mobile phone data of a large number of individuals.

150 Mobile phone data provide a unique source of information about

151 Mobile phone data therefore offer a valuable previously unident

152 f this cross-sectional study was to use cell phone data to assess the impact on work productivity of

153 Here, we use mobile phone data to quantify seasonal travel and directional a

154 on model showing higher accuracy than mobile phone data when the seed is central in the network, the

155 l anomalous events using country-wide mobile phone data, finding that information flow during emergen

156 Combining data on human movement from mobile phone data-derived population fluxes with data on diseas

157 s observed in recent studies based on mobile phone data.

158 Here, by exploiting three different mobile phone datasets that capture simultaneously these two asp

159 Cell phone-delivered smoking cessation treatment has a positi

160 etected arterial pressure signals to a smart phone demonstrates the possibility of self-powered and r

161 Devices included are mobile phones, desktop and laptop computers, monitors, cathode

162 rming a desktop computer and a mobile camera phone--devices that have become readily accessible in de

163 nt visit) or non-face-to-face encounter (eg, phone, e-mail).

164 A simple questionnaire administered by cell phones enables the identification of phenotypic differen

165 he visual input weakens the weighting of the phone /f/ representation.

166 isual input strengthens the weighting of the phone /f/ representation.

167 lication of CNT switches to current cellular phone flash memory.

168 eloped from a simple cardboard box and smart phone for the detection of PNP and ONP.

169 ing systems may become as ubiquitous as cell phones for healthcare.

170 sis directly to "the cloud" using any mobile phone, for use in resource-limited settings.

171 road compatibility with any available mobile phone (from low-end phones to smartphones) or cellular n

172 However, to date, no such phone has been developed, largely due to a lack of flexi

173 Mechanically flexible mobile phones have been long anticipated due to the rapid devel

174 tals (for example, voice, intravenous alarm, phone, ice machine, outside traffic, and helicopter).

175 Combined with cell phone imaging, the presented micro-a-fluidic ELISA platf

176 e rabies surveillance system based on mobile phones in southern Tanzania.

177 , attachment styles, and sense of meaning by phone, in person, or on their own.

178 Cell phones, including smart ones, are readily available almo

179 care (UC) or counseling delivered by a cell phone intervention (CPI).

180 These findings provide evidence that mobile phone intervention may be a useful tool for promoting we

181 are facilities were randomized to the mobile phone intervention or to standard care (control).

182 Compared with the control group, mobile phone intervention was associated with significant chang

183 s-related and clinical data were obtained by phone interview and medical records.

184 ascularization), were assessed at 30 days by phone interview and record review.

185 atients or their relatives were called for a phone interview.

186 literacy; 30-day follow-up was performed by phone interview.

187 Follow-up was performed by phone interview.

188 , and a clinical examination at 6 months and phone interviews after 1, 2, and 4 years.

189 One- to two-hour phone interviews were conducted to assess the features o

190 s were followed up (via examinations, annual phone interviews, active surveillance of discharges from

191 m annual medical records, death indexes, and phone interviews.

192 Next, we reconfigured the mobile phone into a fluorescence imager by adding a low-cost fi

193 ries recovered from personal objects such as phones into a lifestyle sketch of the owner, using mass

194 found that random-digit dialing of cellular phones is a feasible methodology for surveillance of you

195 tectures that are readable on unaccessorized phones is discussed within this context.

196 cal detectors, such as those found on mobile phones, is a limiting factor for many mHealth clinical a

197 as social media, Internet searches, and cell-phone logs.

198 f adults aged 18-34 years have only cellular phones, making random-digit dialing of landline telephon

199 intervention group received frequent mobile phone messages compared with controls who received stand

200 betes was lower in those who received mobile phone messages than in controls: 50 (18%) participants i

201 were randomly assigned to either the mobile phone messaging intervention (n=271) or standard care (n

202 generated randomisation sequence to a mobile phone messaging intervention or standard care (control g

203 Mobile phone messaging is an effective and acceptable method to

204 Mobile phone messaging is an inexpensive alternative way to del

205 We aimed to assess whether mobile phone messaging that encouraged lifestyle change could r

206 ples can be imaged and analysed using mobile phone microscopy, achieving a new milestone for tele-med

207 Given the ubiquity of mobile phones, mobile health interventions offer promise in imp

208 Mobile phones (MPs) now have an extremely high penetration rate

209 ong sequences in smaller segments, such as a phone number 858 534 22 30 memorized as four segments.

210 s to determine whether an email containing a phone number for scheduling (control), an email with the

211 ontrol recruitment, including RDD using cell-phone numbers and address-based sampling (ABS), to recru

212 arative recall task and sequences similar to phone numbers or computer passwords.

213 al [CI], 2.83 to 24.42), reaching for a cell phone (odds ratio, 7.05; 95% CI, 2.64 to 18.83), sending

214 5), reaching for an object other than a cell phone (odds ratio, 8.00; 95% CI, 3.67 to 17.50), looking

215 ed significantly if they were dialing a cell phone (odds ratio, 8.32; 95% confidence interval [CI], 2

216 We collaborated with the largest mobile phone operator in Haiti (Digicel) and analyzed the movem

217 uorophores in multiple wavelengths, a mobile phone or a webcam as a detector, and capillary tube arra

218 Nonresponders were contacted by phone or e-mail for additional data collection.

219 data were confined to patients who had >/=10 phone or face-to-face encounters in 2 years.

220 We used a central computerised phone or interactive web system to randomly assign (1:1)

221 ld format that is compatible with any mobile phone or network worldwide guarantees that sophisticated

222 ll suited to mobile devices (watches, mobile phones or tablets), which require the combination of a t

223 pants completed the survey via the Internet, phone, or fax.

224 es and hours of operation from Web sites, by phone, or in person.

225 ncluding for example integration with mobile phones, or exhibited the potential for such operation in

226 here personal belongings such as pens, keys, phones, or handbags are found at an investigative site.

227 signals of cardiovascular system on a smart phone/PC.

228 es were obtained from the surfaces of a cell phone, piece of luggage made from hard plastic, business

229 d image analysis algorithm based upon a cell phone platform.

230 could be increased with the use of a mobile-phone positioning system that could instantly locate mob

231 A mobile-phone positioning system that was activated when ambulan

232 A mobile-phone positioning system to dispatch lay volunteers who

233 The mobile-phone positioning system was activated in 667 out-of-hos

234 odified Rankin Scale (mRS) based on a mobile phone questionnaire may serve as an alternative to mRS a

235 haracterize the hot spots from absorbed cell phone radiation in aqueous media and biological tissues.

236 ed focusing on their potential to serve cell phone readout configurations.

237 cation patterns in a large dataset of mobile phone records and show the existence of temporal homophi

238 Mobile phone records can provide vast quantities of spatio-temp

239 Here, we analyze a dataset of mobile phone records of approximately 150,000 users in Senegal

240 his requirement, the central aspects of cell phones' resources that determine their potential for ana

241 oduction based on the forecast UV Index, the phone's time and location, and user input.

242 ponse rates for the NYAHS and BRFSS cellular phone sampling frames were comparable.

243 New technologies, including cell phones, sensors, and monitors, now make it possible to c

244 tment adherence support delivered via mobile phone short message system (SMS) text messages on blood

245 the sky as well as the strength of a mobile phone signal.

246 ionwide cohort study, 355,701 private mobile phone subscribers in Denmark from 1987 to 1995 were foll

247 ty data from approximately 40 million mobile phone subscribers.

248 tisfy the principal frequency bands of smart phones such as those for cellular communication, Bluetoo

249 imodal intervention WE CALL (study initiated phone support/information provision) versus a passive in

250 Switzer and colleagues report results from a phone survey of 1067 people called on by the National Ma

251 mber 2012 to December 2013 participated in a phone survey reporting socioeconomic, demographic, and c

252 A phone survey was conducted to determine the number of op

253 Today's consumer electronics, such as cell phones, tablets and other portable electronic devices, a

254 Mobile phone technology has been successful in changing behavio

255 in knowledge of obesity aetiology and mobile phone technology have created the opportunity to develop

256 16-49 years) who could receive secure mobile phone text messages were randomly assigned (1:1:1) to re

257 of the world's population has access to cell phones than to basic sanitation facilities, a gap that c

258 all size and light-weight similar to a smart phone, the developed system is ready to be applicable to

259 Owing to the capabilities of mobile phones (their cameras, connectivity, portability, etc.)

260 The use of a handy mobile phone to remotely control the releasing process and its

261 the Ages and Stages Questionnaire-3 over the phone to the parents of all referred children at least o

262 novel strategies including the use of mobile phones to ease stockouts, task-shifting to community hea

263 ple size, and data collection through mobile phones to improve timeliness of reporting and allow for

264 hips in modern computer systems--from mobile phones to large-scale data centres.

265 ith any available mobile phone (from low-end phones to smartphones) or cellular network (second, thir

266 These range from web browsers in mobile phones to the most popular micro service platform, NodeJ

267 ls using global positioning systems and cell phone tower triangulation and to trigger a smartphone-ba

268 g peak hour obtained from billions of mobile phone traces to comprehensively analyse urban traffic.

269 e geodatabases and a large dataset of mobile phone traces.

270 ores the possibility to entirely retain cell phones' ubiquity for distributed biosensing.

271 eived as only accessories to complement cell phones-underscores the possibility to entirely retain ce

272 However, increasing cell-phone usage and diminishing response rates suggest that

273 Here, an extensive mobile phone usage data set for Kenya was processed to extract

274 that an individual's past history of mobile phone use can be used to infer his or her socioeconomic

275 lored through the analysis of a large mobile phone use dataset.

276 archers evaluated the associations of mobile phone use with the risks of brain, acoustic neuroma, and

277 rformance of secondary tasks, including cell-phone use, and the risk of crashes and near-crashes.

278 the time elapsed from an episode of intense phone use, the larger the cortical potential associated

279 ever, our model used reported side of mobile phone use, which is potentially in fl uenced by recall b

280 r parotid gland tumors in relation to mobile phone use.

281 the investigation of brain tumors and mobile phone use.

282 sensitive to the day-to-day fluctuations in phone use: the shorter the time elapsed from an episode

283 A mobile phone user interface operating in tandem with a portable

284 ng system that could instantly locate mobile-phone users and dispatch lay volunteers who were trained

285 index, and middle fingertips of touchscreen phone users and nonusers (owning only old-technology mob

286 ur main analysis included 792 regular mobile phone users diagnosed with a glioma between 2000 and 200

287 analyzed the movements of 1.9 million mobile phone users during the period from 42 d before, to 341 d

288 social network structure of over 25 million phone users from three countries at three different scal

289 emographic information of millions of mobile phone users with their communication patterns to study t

290 d skin cancer risk was observed among mobile phone users.

291 Patients and controls were interviewed by phone using a standardized questionnaire.

292 (PR) maps and call data records from mobile phones, using a steady-state analysis of a malaria trans

293 Among experienced drivers, dialing a cell phone was associated with a significantly increased risk

294 obal System for Mobile Communications mobile phone was used to update the display.

295 d, global positioning system-enabled Android phones were given to each team on a daily basis and were

296 f brain activities and transmit them to cell phone with a maximal sampling rate of 30 ksampling/s per

297 ith a hand-held "cradle" that interfaces the phone with a silicon-based microfluidic chip embedded wi

298 We show that even low-cost mobile phones with very basic functionality are capable of sens

299 embraced the Internet, video games and smart phones, with their extraordinary potential for education

300 e individuals were successfully contacted by phone within five call-back attempts.