S1 Dataset -

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Representative case images of a 66-year-old female patient with left sixth nerve palsy.

Optical coherence tomography angiography (OCTA) color-coded scans illustrating the acquisition of various parameters. At the diagnostic point, results of the Hess screen test revealed -2 grade of gaze limitation at lateral gaze of the left eye paralysis eye (A). Vessel densities of radial peripapillary capillary (RPC), superficial capillary plexus (SCP), and deep capillary plexus (DCP) were compared between the paralysis eye (B) and contralateral nonparalysis eye (C). After 3 months, her symptoms of limited eye movement (D) and diplopia had improved. At the recovery phase, vessel densities of RPC, SCP, and DCP in both eyes (E, F) were repeatedly compared.</p

Comparison of macular and peripapillary vessel densities between paralysis eye and non-paralysis eye at diagnosis.

Comparison of macular and peripapillary vessel densities between paralysis eye and non-paralysis eye at diagnosis.</p

Clinical demographics of patients with vascular paralytic strabismus.

Clinical demographics of patients with vascular paralytic strabismus.</p

Multiple linear regression analysis of clinical factors on optic nerve head and macular vessel density measurements in paralysis eye (n = 31).

Multiple linear regression analysis of clinical factors on optic nerve head and macular vessel density measurements in paralysis eye (n = 31).</p

S2 Dataset -

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Changes in macular and peripapillary vessel densities between diagnosis and recovery.

(A) shows values in paralysis eyes. (B) shows values in contralateral non-paralysis eyes. SCP, superficial capillary plexus; Avg, average; DCP, deep capillary plexus; RPC, radial peripapillary capillary; PP, peripapillary.</p

Development of an IMU-based foot-ground contact detection (FGCD) algorithm

<p>It is well known that, to locate humans in GPS-denied environments, a lower limb kinematic solution based on Inertial Measurement Unit (IMU), force plate, and pressure insoles is essential. The force plate and pressure insole are used to detect foot-ground contacts. However, the use of multiple sensors is not desirable in most cases. This paper documents the development of an IMU-based FGCD (foot-ground contact detection) algorithm considering the variations of both walking terrain and speed. All IMU outputs showing significant changes on the moments of foot-ground contact phases are fully identified through experiments in five walking terrains. For the experiment on each walking terrain, variations of walking speeds are also examined to confirm the correlations between walking speed and the main parameters in the FGCD algorithm. As experimental results, FGCD algorithm successfully detecting four contact phases is developed, and validation of performance of the FGCD algorithm is also implemented.</p> <p><b>Practitioner Summary:</b> In this research, it was demonstrated that the four contact phases of Heel strike (or Toe strike), Full contact, Heel off and Toe off can be independently detected regardless of the walking speed and walking terrain based on the detection criteria composed of the ranges and the rates of change of the main parameters measured from the Inertial Measurement Unit sensors.</p

Between living and nonliving: Young children’s animacy judgments and reasoning about humanoid robots

Humanoid robots will become part of our everyday lives. They have biologically inspired features and psychologically complex properties. How will children interpret these ambiguous objects, discriminating between living and nonliving kinds? Do the biologically and psychologically inspired characteristics affect children’s understanding of the robots? How firm is the distinction that children make between living and nonliving objects? To address these questions, 120 children ranging three to five years initially viewed video clips that depicted humanoid robots interacting with a human experimenter on two different dimensions (mobility and, psychologically contingent behavior). The subjects then answered simple questions that probed their animacy judgments and property projections about the robot. The results showed that children’s animacy assessments about humanoid robots differed by age. When judging the robot’s life status, its mobility was important for four-year-olds and, the psychological contingency for five-year-olds. In terms of the robot’s reasoning abilities, the majority of four-year-old children clearly understood biological properties, regardless of the robots’ features. However, when reasoning about psychological properties, even five-year-olds occasionally relied on robots’ features such as their contingent behaviors. Moreover, the children attributed some but not all animate properties to the robots. Although rent findings show that children possess naïve theories, they do not seem to have a consistent and logical theory of “aliveness,” and they apparently develop the concept of a robot by acquiring knowledge about how this boundary object differs from living entities.</div

Proportion of children’s psychological property projection by age and robot types.

Proportion of children’s psychological property projection by age and robot types.</p