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1 rovides service to collect data using mobile phones).
2 nonusers (owning only old-technology mobile phones).
3 th the adsorbed dye were taken with a mobile phone.
4 ting room or by the trial coordinator on the phone.
5 ealth care, yet most have access to a mobile phone.
6 (LTE4) for wireless communication with cell phone.
7 ost 3D-printed sample holder attached to the phone.
8 le, and can transfer test results via mobile phone.
9 liomas and the self-reported location of the phone.
10 ost 3D-printed sample holder attached to the phone.
11 ction using a hand-held UV source and camera phone.
12 Interviews were audio recorded over the phone.
13 t Event Scale-Revisited again at 3 months by phone.
14 out can be done by a common hand-hold mobile phone.
15 inquiry text messages to a designated clinic phone.
16 by the advocate both in person and over the phone.
17 enrolled during intervention phases owned a phone.
18 and faculty member available at nighttime by phone.
19 ed on light emitting diodes (LEDs) and smart phones.
20 rs map local mosquitoes using their personal phones.
21 ntal monitoring and motion sensors in mobile phones.
22 nces which took us from vacuum tubes to cell phones.
23 o answer the mRS questionnaire in the mobile phones.
24 The application also functions on mobile phones.
25 ions in the baseline and the tested devices (phone: 0.76 +/- 0.41 hPa; cordless: 0.787 +/- 0.26 hPa;
26 70 M USD unrecovered in computers and mobile phones, 2006-2014) due to operations that fail to target
29 y personalised text messages to their mobile phones about diet quality and physical activity for 12 m
30 l, our findings suggest that boosting mobile-phone access and coverage and closing digital divides, p
32 s covering 200+ countries reveal that mobile-phone access is associated with lower gender inequality,
33 ption, 3) app usage, 4) mobility, 5) overall phone activity, and 6) day- and night-time activity are
38 entire size of which is smaller than a smart-phone and can be handheld, is presented for on-line dete
39 ic intensity was also measured using a smart phone and computer software at a linear range of 0.1-100
40 sting (mobiNAAT) platform utilizing a mobile phone and droplet magnetofluidics to deliver NAAT in a p
42 r optic cables were captured using the smart phone and processed using a custom written image process
43 pulsed signals from GSM900/UMTS test-mobile phone and ROS, apoptosis, DNA damage, and PFG were analy
44 lows monetary value to be stored on a mobile phone and sent to other users via text messages, has bee
47 EDs) are in widespread use in today's mobile phones and are likely to drive the next generation of la
49 uss recent developments on the use of mobile phones and similar devices for biosensing applications i
50 Here, we analyzed data generated by mobile phones and social media to estimate the weekly island-wi
51 portable screen-based media device (eg, cell phones and tablet devices) access or use in the sleep en
53 y-day life such as in touch screens of smart phones and watches, but also used as an optically transp
54 ntact with close others via text message (or phone) and used Twitter for critical updates during the
55 ceipt (online portal, physician's office, or phone), and condition of receipt (before, at the same ti
57 We developed a 12-lead, blue-tooth/Smart-Phone (Android) based electrocardiogram (ECG) acquisitio
60 MFT- intervention delivered through a smart-phone app (n = 14) or were assigned to a waitlist (n = 1
62 ,268 users of the iRecord Butterflies mobile phone app, a multi-species environmental citizen science
65 Three months after inclusion, the mobile phone application automatically prompted the study parti
66 ments are wirelessly transferred to a mobile phone application that geo-tags the data and transmits i
69 elines in 2016 with a free, web-based mobile phone application, which was subsequently endorsed by th
70 ic education campaigns, research with mobile phone applications, advanced skin imaging technologies,
71 for treatment-eligible participants, mobile phone appointment reminders, health educational packages
72 on, further show that women who own a mobile phone are better informed about sexual and reproductive
73 monstrate that commercially available mobile phones are a powerful tool for acoustically mapping mosq
75 s empirical support for the idea that mobile phones are a vehicle for sustainable development at the
77 electromagnetic fields (RF-EMF) from mobile-phone base stations and the development of nonspecific s
78 odeled far-field RF-EMF exposure from mobile-phone base stations at the home addresses of the partici
79 trast to modeled RF-EMF exposure from mobile-phone base stations, perceived exposure was associated w
84 ous therapy and choice of chemotherapy via a phone-based and web-based interactive response system) t
87 ions that incorporate traditional and mobile-phone-based education will help create smoke-free homes
88 5 for the same period, a 5% decrease; mobile phone-based estimates predict a loss of 235,375 from Jul
90 in combination with a cost-effective mobile-phone-based microscope can generate color images of spec
92 e therefore developed a point-of-care mobile phone-based platform that can quickly characterize a pat
95 In this manuscript, we describe a mobile-phone-based strategy for real-time imaging of biplexed N
96 em (PMS) has been developed to charge a cell phone battery based on sediment microbial fuel cells (SM
101 to capture human mobility measured by mobile phones; both severely overestimate the spatial spread of
102 llow-up (ie, survival status was assessed by phone but no physical examination was done), leaving 203
103 mixture of metals typically found in mobile phones by extraction into toluene from an aqueous HCl so
105 data sources, such as medical claims, mobile phone call data records, and geographically tagged tweet
107 Allocation to treatment group was done by a phone call from the hospital to the Medical Research Cou
108 ctional neurologic outcomes were assessed by phone call or in-person clinic visit at 1, 3, 6, and 12
111 data analysis techniques to study the mobile phone calling activity of people in large cities to infe
114 ty periods in the people's aggregated mobile phone calling patterns and infer these to represent the
115 Using mobility data inferred from mobile-phone calling records in Namibia, we calculated both the
123 rmed tasks-including event documentation and phone calls to report events-similar to real monitoring
124 in motivational interviewing (MI), and (3) 5 phone calls with the same coach for between-session supp
125 rough the Dutch population registry, patient phone calls, general practitioners, and hospital records
133 enser and a 20x objective lens with a mobile phone camera to create an inexpensive, portable and robu
134 ts of the LFs were carried out with a mobile phone camera whose imaging resolution was improved by at
135 ra-based photometer (constructed from a cell phone camera, a planar light source, and a cardboard box
137 MEMS accelerometers--found in most smart phones--can be mass-produced remarkably cheaply, but non
140 g anonymized traffic speed data from Android phones collected through Google Maps, we investigated wh
142 nd computer devices (SACD), including mobile phones, contain significant amounts of precious metals i
143 d electronic equipment (WEEE) such as mobile phones contains a plethora of metals of which gold is by
145 xposure to microwaves (MW) emitted by mobile phones could induce various biochemical markers of cellu
147 sonal and spatial data on travel from mobile phone data allows us to characterize seasonal fluctuatio
148 ur mobility networks are derived from mobile phone data and map the hourly movements of 98 million pe
149 cuss the advantages and the limits of mobile phone data and potential alternatives for assessing valu
150 Additionally, as a general rule, the mobile phone data are not linked to demographic or social ident
151 ulation travel (fluxes) inferred from mobile phone data are predictive of disease transmission and im
152 e then re-evaluated against 5-week of mobile phone data from 2017 showing mean absolute errors <10%.
154 Here we use 11,478,484 counts of mobile phone data from individuals leaving or transiting throug
155 antify seasonal travel patterns using mobile phone data from nearly 15 million anonymous subscribers
156 rent spatial scales and use anonymous mobile phone data from nearly 15 million individuals to analyze
158 review the different applications for mobile phone data in guiding and evaluating COVID-19 response,
163 f this cross-sectional study was to use cell phone data to assess the impact on work productivity of
164 parasite genetic data, and anonymized mobile phone data to measure the spatial spread of malaria para
167 Using massive, passively-collected mobile phone data, we introduce a novel framework to estimate b
168 Combining data on human movement from mobile phone data-derived population fluxes with data on diseas
173 Here, by exploiting three different mobile phone datasets that capture simultaneously these two asp
174 etected arterial pressure signals to a smart phone demonstrates the possibility of self-powered and r
176 ttle is known about eye movement behavior on phones, despite their pervasiveness and large amount of
178 billions of people across the globe, mobile phones enable relatively cheap and effective communicati
179 A simple questionnaire administered by cell phones enables the identification of phenotypic differen
185 ery simple assessment tool (VAS) on a mobile phone had the potential to answer questions previously t
189 between the red and green color channels of phone images to overcome a strong evaporation-induced op
190 concentrations of E. coli O157:H7 and smart phone imaging APP for monitoring color change of the AuN
191 ally, the color was measured using the smart phone imaging APP to determine the amount of the bacteri
192 results suggest that two-fluorophore mobile phone imaging may enable translating the benefits of ext
193 w detection using time domain-encoded mobile phone imaging, and (iii) the integration of on-chip dela
194 ing data on mobility from a sample of mobile phones in 3,100 counties in the United States during Mar
197 These findings provide evidence that mobile phone intervention may be a useful tool for promoting we
203 survivors of PF and 37 of septic shock were phone-interviewed at 55 (interquartile range [IQR], 35-8
204 ferred to as "state partners." MEASUREMENTS: Phone interviews (n = 17) with each organization were co
205 e administered at enrollment and at repeated phone interviews in the period 22 th April to Aug 16 th.
208 ries recovered from personal objects such as phones into a lifestyle sketch of the owner, using mass
210 rapid responses leverage billions of mobile phones, large online datasets, connected devices, relati
212 scientific societies; and held in-person or phone meetings with >50 federal staff in executive and l
213 atory community mobilisation, mHealth mobile phone messaging, and usual care (control) in 96 villages
215 ples can be imaged and analysed using mobile phone microscopy, achieving a new milestone for tele-med
217 had a personal mobile phone with one of two phone networks, were recruited from 93 randomly selected
218 ong sequences in smaller segments, such as a phone number 858 534 22 30 memorized as four segments.
219 s to determine whether an email containing a phone number for scheduling (control), an email with the
220 al pamphlet, a 24 hours a day, 7 days a week phone number for the recovery team, and an outpatient IC
223 ave propagates from a base station to a cell phone or a wirelessly connected device, we use a novel U
224 nal can be wirelessly transmitted to a smart-phone or cloud sever through the Wi-Fi connection for vi
225 operative day 30, patients were contacted by phone or email and asked to report post-discharge opioid
230 ncluding for example integration with mobile phones, or exhibited the potential for such operation in
231 here personal belongings such as pens, keys, phones, or handbags are found at an investigative site.
234 could be increased with the use of a mobile-phone positioning system that could instantly locate mob
240 ting the efficiency of SDIC included type of phone, region of interest, position of camera, and dista
241 aRR 3.72 [95% CI 1.85-7.48], p < 0.001), and phone reminder (22.3%, aRR 1.58 [95% CI 1.07-2.33], p =
242 his requirement, the central aspects of cell phones' resources that determine their potential for ana
245 tment adherence support delivered via mobile phone short message system (SMS) text messages on blood
247 V were randomly assigned (1:1:1) with mobile phone software to community-based ART initiation with qu
249 tisfy the principal frequency bands of smart phones such as those for cellular communication, Bluetoo
250 the analysis, the use of both in-person and phone survey data for international migrants, the long r
251 mber 2012 to December 2013 participated in a phone survey reporting socioeconomic, demographic, and c
255 Today's consumer electronics, such as cell phones, tablets and other portable electronic devices, a
256 tation, public access defibrillation, mobile phone technologies to summon first responders, and an en
258 16-49 years) who could receive secure mobile phone text messages were randomly assigned (1:1:1) to re
260 all size and light-weight similar to a smart phone, the developed system is ready to be applicable to
262 rated with a reader device based on a mobile phone, this assay has the potential to enable rapid, low
263 the touchscreen functionality on their smart phone to click on VAS scores (ranging from 0 to 100) for
267 the Ages and Stages Questionnaire-3 over the phone to the parents of all referred children at least o
271 These range from web browsers in mobile phones to the most popular micro service platform, NodeJ
272 ls using global positioning systems and cell phone tower triangulation and to trigger a smartphone-ba
273 grate multiple open data sources with mobile phone traces to compare how the different factors correl
274 g peak hour obtained from billions of mobile phone traces to comprehensively analyse urban traffic.
277 eived as only accessories to complement cell phones-underscores the possibility to entirely retain ce
279 archers evaluated the associations of mobile phone use with the risks of brain, acoustic neuroma, and
280 the time elapsed from an episode of intense phone use, the larger the cortical potential associated
281 ever, our model used reported side of mobile phone use, which is potentially in fl uenced by recall b
284 sensitive to the day-to-day fluctuations in phone use: the shorter the time elapsed from an episode
286 ng system that could instantly locate mobile-phone users and dispatch lay volunteers who were trained
287 index, and middle fingertips of touchscreen phone users and nonusers (owning only old-technology mob
288 tensive datasets covering millions of mobile phone users and urban facilities, we investigate the sca
289 ur main analysis included 792 regular mobile phone users diagnosed with a glioma between 2000 and 200
293 (PR) maps and call data records from mobile phones, using a steady-state analysis of a malaria trans
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 he study area, and who had a personal mobile phone with one of two phone networks, were recruited fro
299 The strategy consisted of: (1) using mobile phones with multipass excitation and emission filters on