How Positioning Wearable Haptic Interfaces on Limbs Influences Virtual Embodiment.

With increasing use of computer applications and robotic devices in our everyday life, and with the advent of metaverse, there is an urgent need of developing new types of interfaces that facilitate a more intuitive interaction in physical and virtual space. In this work, we investigate the influence of the location of haptic feedback devices on embodiment of virtual hands and user load during an interactive pick-and-place task. To do this, we conducted a user study with a 3x2 repeated measure experiment design: feedback position is varied between the distal phalanx of the index finger and the thumb, the proximal phalanx of the index finger and the thumb, and the wrist. These conditions of feedback are tested with the stimuli applied synchronously to the participant in one case, and with an additional delay of 350 ms in the second case. The results show that the location of the haptic feedback device does not affect embodiment, whereas the delay, i.e., whether the feedback is applied synchronously or asynchronously, affects embodiment. This suggests that for pick-and-place tasks, haptic feedback devices can be placed on the user's wrist without compromising performance making the hands to remain free, allowing unobstructed hand visibility for precise motion tracking, thereby improving accuracy.

Why do valence asymmetries emerge in value learning? A reinforcement learning account.

The Value Learning Task (VLT; e.g., Raymond & O'Brien, 2009) is widely used to investigate how acquired value impacts how we perceive and process stimuli. The task consists of a series of trials in which participants attempt to maximize accumulated winnings as they make choices from a pair of presented images associated with probabilistic win, loss, or no-change outcomes. The probabilities and outcomes are initially unknown to the participant and thus the task involves decision making and learning under uncertainty. Despite the symmetric outcome structure for win and loss pairs, people learn win associations better than loss associations (Lin, Cabrera-Haro, & Reuter-Lorenz, 2020). This learning asymmetry could lead to differences when the stimuli are probed in subsequent tasks, compromising inferences about how acquired value affects downstream processing. We investigate the nature of the asymmetry using a standard error-driven reinforcement learning model with a softmax choice rule. Despite having no special role for valence, the model yields the learning asymmetry observed in human behavior, whether the model parameters are set to maximize empirical fit, or task payoff. The asymmetry arises from an interaction between a neutral initial value estimate and a choice policy that exploits while exploring, leading to more poorly discriminated value estimates for loss stimuli. We also show how differences in estimated individual learning rates help to explain individual differences in the observed win-loss asymmetries, and how the final value estimates produced by the model provide a simple account of a post-learning explicit value categorization task.

Online reaction based single-step capillary electrophoresis-systematic evolution of ligands by exponential enrichment for ssDNA aptamers selection.

Capillary electrophoresis-systematic evolution of ligands by exponential enrichment (CE-SELEX) has proven to be an effective technique for aptamers selection. In this study, we present an online reaction based convenient single-step CE-SELEX (ssCE-SELEX) mode with human thrombin (H-Thr) as a model target. The selection progress was monitored through bulk Kd analysis, which showed more than a 1000-fold improvement over the initial library after two rounds of selection. Three selected candidate sequences presented high binding affinities against H-Thr with nanomolar (nM) Kd determined by nonequilibrium capillary electrophoresis of equilibrium mixtures (NECEEM, 56.4-177.1 nM) and CE based non-linear fitting (CE-NLF, 98.2-199.7 nM). They also exhibited high specificities towards H-Thr compared with bovine thrombin, IgG, lysozyme, and lactoferrin. Meanwhile, the Kd results by isothermal titration calorimetry (ITC) confirmed the effective CE in measuring the aptamer affinity. In addition, three candidates were applied as aptasensors in the AuNPs based colorimetric assay, which showed visible color change and good linear relationships (R2 > 0.93) with H-Thr concentration. Furthermore, molecular dynamics (MD) simulation was performed to validate the binding of the three candidates with H-Thr by binding sites and binding free energy. The ssCE-SELEX method avoids off-line incubation, saves time and sample, and may provide a universal and convenient method for aptamers selection.

Online reaction based single-step CE for Protein-ssDNA complex obtainment to assist aptamer selection.

CE application in aptamer selection (CE-SELEX) shows more advantages than other selection methods. In this study, an online reaction based single-step CE (ssCE) mode was employed for fast obtaining protein-ssDNA complex. Using human thrombin (H-Thr) and its aptamer Apt29 as models, we accomplished the procedures of mixing, reaction, separation, detection and complex collection in single step online process, which took about 10 min to obtain the H-Thr/Apt29 complex. Important factors, affecting the aptamer and H-Thr interaction (buffer, ratio of aptamer and H-Thr amount), and complex separation and collection (voltage and temperature) were discussed. Later, the online reaction of H-Thr with an 80 nt ssDNA library was realized under optimized conditions, and the H-Thr/ssDNA complex was collected and subjected to PCR. By analyzing the PCR product through capillary gel electrophoresis, the resulting approximative 80 nt DNA length validated the ssDNA sequence in complex. To confirm the availability of ssCE mode, two ssDNA libraries with different lengths (56 nt and 82 nt ssDNA) and three proteins (platelet derived growth factor, PDGF-BB; lactoferrin protein, LF; and single-strand DNA binding protein, SSB) were utilized. Their complex peaks were also observed in electropherograms as expected. Additionally, the online incubation of ssDNA and H-Thr was achieved by stopping the separation voltage for some time when ssDNA passed the H-Thr zone. Our results show the ssCE mode has apparent merits of saving time and sample cost for aptamer selection against protein targets.