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Galaxy note 4

Manufactured by Samsung
Sourced in Germany

The Galaxy Note 4 is a smartphone developed by Samsung Electronics. It features a 5.7-inch Quad HD Super AMOLED display, a Qualcomm Snapdragon 805 or Exynos 5433 processor, and 3GB of RAM. The device also includes a stylus known as the S Pen for input and note-taking.

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10 protocols using galaxy note 4

1

Eye-Tracking Analysis of Driver Behavior

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Our choice of eye-tracking technique took into consideration the areas fixated by drivers during the event of the scenarios. This measure allowed evaluating where the participants looked for information depending on the situation. The SMI Eye-Tracking Glasses, a pair of glasses equipped with infrared sensors to monitor eye movements (saccades, fixations, and blinks), and a frontal camera to record the field of vision were used. The eye-tracking data were recorded at a sampling frequency of 60 Hz. The glasses were connected to a mobile phone (Samsung Galaxy Note 4) that allowed us to power the glasses, calibrate the gaze measures, display the visual behavior in real time, and store the video and audio recordings. Eye-tracking data were extracted using the BeGaze version 3.7 software. We also used this software to map the fixations. This mapping consisted in associating each recorded fixation with an Area Of Interest (AOI) and was carried out by a third-party project partner. The AOIs were the instrument’s cluster, the exterior environment, and the interior environment. The BeGaze software then calculated the fixation count and duration for each AOI.
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2

Loughborough Soccer Passing Test with Eye Tracking

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Participants carried out a Loughborough Soccer Passing Test (LSPT; 16 (link)) in the entrance hall of a gymnasium. However, as this
hall was smaller than the dimensions of the original LSPT, the layout of
the test was adapted to fit the available space (see fig. 1). In the
LSPT, participants are required to pass to one of the four goals (10cm
wide), located on colored targets (60cm wide) from a marked passing area
(see fig. 1 & fig. 2). The color of the next target was called out
by the experimenter immediately succeeding each pass. Time to complete
the test was measured from the moment the ball entered the passing zone
the first time, to the moment the final (16th) target was hit. Further
details on the LSPT can be found in Le moal et al. (16 (link)).
The Eye Tracking Glasses 2 wireless (ETG2w, SMI, Teltow, DE) were
used to record eye movements during the test. The system recorded eye
movements at 60hz, while a frontal camera recorded the scenery in front
of the participant at 24Hz. The glasses were connected to a smartphone
(Samsung Galaxy Note 4) which was carried in a pouch. The system was
calibrated using a 3-point calibration, and the tracking accuracy of the
system was below 0,5°.
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3

Beak Imaging Using Smartphone Camera

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The images of both upper and lower beaks were captured using the Samsung Galaxy Note 4 smartphone camera. Samples were placed against a white background, i.e., lightbox with white light, and were centred on the camera screen to ensure high-quality images. A distance of 10 cm between the smartphone camera and the beak samples was fixed and no zooming was used for all specimens photographed (Fig. 2). Only the left lateral views of the upper and lower beaks were captured. All beak images were stored using the JPEG format.
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4

Hydrogen Peroxide Dose-Response in HeLa Cells

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HeLa cells seeded in six-well plates were treated at 80% confluence with increasing concentrations of H2O2. Cells were monitored using phase-contrast microscopy and images were captured with a Samsung Galaxy Note 4.
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5

Miniaturized Microfluidic Glucose Assay

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Following miniaturization, functionality as a platform for performing chemical assays was confirmed by performing a glucose assay on a miniaturized microPAD with a sample zone, a reagent zone, a test zone and a waste zone all connected in series by a straight channel (Fig. S1)41 (link). The reagents for the assay were deposited onto the reagent zone using a reagent pencil, which was fabricated by pressing a mixture of 66.6% w/w polyethylene glycol (Mn 2000 g/mol), 22.2% w/w graphite powder, 0.75% w/w glucose oxidase (GOx, 266 U/mg), 0.52% w/w horseradish peroxidase (HRP, 293 U/mg), and 10.0% w/w 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid) (ABTS) into the shape of a cylindrical pellet with a diameter of 3.2 mm using a manual pellet press (Parr Instrument Company)41 (link),42 . Glucose solutions (3.5 µL) prepared in 1X PBS with concentrations of 0, 0.3, 0.6, 0.9 and 1.2 mM were applied to the sample zone of the device and a colorimetric readout was generated in the test zone. The intensity of the color produced in the test zones was measured via digital image colorimetry (DIC)43 (link), where the mean color intensity in the red channel of the test zones was measured using a smartphone (Samsung Galaxy Note 4) and the Color Grab application9 (link).
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6

Smartphone-based RT-LAMP Assay on Microchip

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A Samsung Galaxy Note 4 smartphone was purchased for the imaging of
the RT-LAMP reaction on the microchip substrate. The smartphone hardware was
not modified from its factory conditions. A Thorlabs 530 nm Longpass Colored
Glass Filter was placed between the camera and the chip to isolate the
fluorophore emission wavelengths. A 3D-printed cradle (Figure 1) was designed to position the smart-phone
horizontally with the camera directly above the microchip. A mounting
cylinder was also 3D printed to hold an Opto Diode Corp high-output blue
light-emitting diode (LED) and a Thorlabs Shortpass Filter with a 500 nm
cut-off wavelength, which fit within the cradle and illuminated the
microchip from an angle. The LED was powered with 3 V from an Agilent E364xA
DC power supply with an automated on/off function controlled with a MATLAB
script. It was also determined that the blue LED could be adequately powered
by a standard 3 V lithium coin battery, but the DC power supply was used for
the purpose of PC control.
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7

Eye Tracking in Rock Climbing Performance

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Eye tracking glasses (SIMI, version 2.0, SensoMotoric Instruments Inc., Teltow, Germany) recorded binocular eye gaze behavior via a wireless connection to a Samsung Galaxy Note 4 (placed in the climber’s chalk bag) in real time at a sampling rate of 60 Hz, with gaze tracking range of 80° horizontal and 60° vertical, and gaze tracking accuracy of 0.5° over all distances. The scene camera located between the eyes records at 960 x 720 pixels with field of view: 60° horizontal, 46° vertical, and a sampling rate of 30 Hz (www.eyetracking-glasses.com). A three-point calibration was used before each trial, and at the end of each trial the climber fixated the last hold so we could check for any offset due to movement of the glasses during the climb.
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8

Smartphone-based Depression and Mania Assessments

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For 8 weeks, subjects were provided a Samsung Galaxy Note 4 smartphone that they were instructed to use as their primary phone during the study period. Subjects were encouraged to use their current phone number and subscriber identification module card; with the exception of 1 subject, all subjects did so. During the study period, trained staff at the University of Michigan administered the Structure Interview Guide for the Hamilton Depression Rating Scale (HDRS) [9 (link)] and Young Mania Rating Scale (YMRS) [10 (link)] once a week via phone interviews.
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9

Optimizing Agrobacterium-Mediated PCD Induction

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To determine the optimum density of Agrobacterium cell to induce PCD, OD600 value of bacterium cell was resuspended to 0, 0.2, 0.4, 0.6, 0.8, and 1.0 with infiltration buffer. If there is no mention on Agrobacterium cell density, it means that OD600 is 0.4.
To test a gradual change of HR, each leaf was infiltrated with Agrobacterium containing each construction at different time points and maintained at 25°C. An experiment was conducted to verify the effect of light on PCD. Each plant with leaf infiltrated with Agrobacterium containing each construction was placed on the light of dark condition for 48 h.
Diaminobenzidine (DAB) staining method was employed to visualize ROS generated by dead cells. DAB staining was carried out based on previous research done by Wong’s group (Tran et al., 2014 (link); Wong et al., 2007 (link)) with little modifications. Briefly, leaves agroinfiltrated were placed in petridish and incubated in solution containing 1 mg/ml of DAB made with PBS buffer (pH 7.2) for 3 h. Then 95% ethanol was applied to the leaves at 65°C for overnight to bleach chlorophyll out. The stained leaves were digitalized using the camera built in cellular phone (Galaxy Note 4; Samsung, Seoul, Korea).
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10

Smartphone-based RT-LAMP Assay on Microchip

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A Samsung Galaxy Note 4 smartphone was purchased for the imaging of
the RT-LAMP reaction on the microchip substrate. The smartphone hardware was
not modified from its factory conditions. A Thorlabs 530 nm Longpass Colored
Glass Filter was placed between the camera and the chip to isolate the
fluorophore emission wavelengths. A 3D-printed cradle (Figure 1) was designed to position the smart-phone
horizontally with the camera directly above the microchip. A mounting
cylinder was also 3D printed to hold an Opto Diode Corp high-output blue
light-emitting diode (LED) and a Thorlabs Shortpass Filter with a 500 nm
cut-off wavelength, which fit within the cradle and illuminated the
microchip from an angle. The LED was powered with 3 V from an Agilent E364xA
DC power supply with an automated on/off function controlled with a MATLAB
script. It was also determined that the blue LED could be adequately powered
by a standard 3 V lithium coin battery, but the DC power supply was used for
the purpose of PC control.
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