91Kejkaew THANASUAN92Surachate KALASINDeveloping a Dynamic Tangible Interactive Game for Improving Learning, Planning, Problem-solving and Computational Thinking Skills in Children(Project 2018)Microarray Printing of Sensitive Droplets Encapsulating ECOFLEX Modified with Polypyrrole (PPy) and Conductive Nanoparticles for Fast Interactive Wearable Sensors(Project 2019)65scanning electron microscopy (SEM). The 3D-ePADs comprises two components: an origami folding paper (oPAD) and an insert pad (iPAD). This 3D-ePADs eliminates the undesirable procedure of multiple-step in a complex assay. Under the optimal experimental conditions and using differential pulse voltammetry (DPV) as transduction technique the sensor was able to detect cholesterol level ranges from 0.1 µM to 1000 μM, with a detection limit of 30 nM. Specificity of the developed 3D-ePAD sensor towards target analyte (cholesterol) was confirmed in the presence of common interfering species. The applicability of proposed 3D-ePAD sensor was also demonstrated for cholesterol determination in human serum samples with good recovery results (98–105%) and maximum RSD (relative standard deviation) of 2.8%.The goal of this study was to develop a dynamic tangible interactive game that helped children improve problem solving, planning and computational-thinking skills. The game was a combination of the Seria-Think Instrument which was one of dynamic assessments that has been used in educational research, and a concept of a tangible interface game. We focused on building hardware and software prototypes of the game. We developed the game hardware using wooden and 3D-printing material. We implemented the game software applying image processing and computer vision techniques to analyze the game. The software detected color, shape and hand in order to decrease errors of the game analysis. Then, we evaluated the detection performance by varying the parameters, including the number of the backward-consecutive video frames and the size of a hand. The results showed that increasing the number of the backward-consecutive video frames decreased the errors of the image detection and classification process, but increasing the size of a hand slowed down the computing time. Finally, the dynamic tangible game should be developed further in order to be used as the assessment tool.Wearable human sweat sensors have offered a great prospect in an epidermal detection for self-monitoring and health evaluation. These on-body epidermal sensors can be integrated with the Internet of Things (IoT) as augmented diagnostics tools for telehealth applications, especially for non-invasive health monitoring without using blood contents. One of many great benefits in utilizing sweat as bio-fluid is the capability of instantaneously continuous diagnosis during normal day-to-day activities. Here, we revealed a textile-based sweat sensor selective for perspired creatinine, which is prepared by coating polyvinyl alcohol (PVA)-Cu2+-poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS), polypyrrole (PPy) and cuprous oxide nanoparticles on stretchable nylon, equipped with heart rates monitoring and satellite-communication device to locate wearers, as well as incorporating machine learning to predict the levels of environmental heat-stress. Electrochemical Impedance Spectroscopy (EIS) was used to investigate different charge-transfer resistances of PVA, PEDOT: PSS, PPy with cuprous and cuprite ions induced by single-chain and ionic crosslinking. Furthermore, Density Function Theory (DFT) studies predicted the catalytic binding of sweat creatinine with the sensing materials that occurred at thiophene rings. Successfully, the hybrid sensor achieved 96.3 % selectivity efficacy toward the determination of creatinine contents from 0.4 to 960 µM in the presence of interfering species of glucose, urea, uric acid, and NaCl as well as retaining 92.1 % selectivity efficacy in the existence of unspecified human sweat interference. Ultimately, the hand-grip portable device can offer the great benefit of continuous health monitoring and provide locations of any wearers. This augmented telemedicine sensor may represent the first remote low-cost and artificial intelligence-based sensing device selective for heat-stress sweat creatinine.
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