Automated infection risks assessments (AIRa) for decision-making using a blockchain-based alert system: A case study in a representative building.

Indoor air quality (IAQ) is an important parameter in protecting the occupants of an indoor environment. Previous studies have shown that an indoor environment with poor ventilation increases airborne virus transmission. Existing research has concluded that high ventilation rates can reduce the risk of individuals in indoor environments being infected. However, most existing ventilation systems are designed to be efficient under non-pandemic conditions. Ultimately, indoor environments will become hotspots for the transmission of airborne viruses. Current infection risk assessments can estimate virus transmission via airborne routes, but with limited information sharing among stakeholders. Our own research did not identify any systems that integrate risk assessments with smart sensors in order to support information sharing with experts in indoor environments in their decision-making process. To fill this gap, we designed a blockchain-based prototype (AIRa) that integrates CO2 smart sensor data with infection risk assessments from a post-pandemic perspective. This system generates two types of alerts: (1) P-Alert and (2) R0-Alert for decision-making by building owners, such as increasing the ventilation rate or track and trace, as needed. AIRa shows various benefits over three existing infection-control alert systems. Our solution stores and shares information such as the timestamp and room number, instead of storing building user's personal information. Our approach does not require a QR code to be scanned or a mobile app to be downloaded in order to enable track and trace. However, AIRa is still an early prototype for evaluating the risks of airborne virus transmission in smart building environments. Multidisciplinary knowledge and technological research will be vital in formulating different alerts in the future.

Measurement of Tremor on Arteriovenous Fistulas with a Flexible Capacitive Sensor.

Arteriovenous fistula (AVF) is a widely used vascular access for hemodialysis in clinical. It is a great challenge to monitoring the status of AVF in daily life due to acute AVF stenosis may occur on unnoticeable occasions, such as sleeping. Inspiring tremor is almost always accompanied by a healthy AVF, which can be adopted as an essential physiological sign for AVF monitoring. Hence, a fistula tremor measurement system based on a flexible capacitive pressure sensor is designed in this study. The sensor consists of polydimethylsiloxane(PDMS) dielectric layers, electrode layers, ground layers, and shielding layers. The PDMS layers are fabricated as cross superposition transverse microstructure film to enhance dielectric constant and sensitivity of the sensor. The isolation shielding layers and ground layers guarantee the sensing chain is noise-free. A microcontroller embedded AD7746 measurement circuit is designed for signal acquisition. We test our prototype on the wrists of healthy volunteers and AVF on dialysis patients separately. The pulse signals and AVF tremor signals are clear and distinguishable. The sensor and measurement system have excellent potential in wearable AVF monitoring.

Combination of certainty and uncertainty: Using FusionGAN to create abstract paintings.

In the study of generative art, it is relatively easy at present to achieve a high degree of certainty or uncertainty. However, the combination of certainty and uncertainty has always been an area of difficulty in generative art. In this paper, we present a novel FusionGAN system to automate the generation of abstract paintings. These generated abstract paintings combine the factors of certainty and uncertainty. First, we collect an APdataset consisting of three parts: abstract paintings drawn by artists, sketches, and abstract paintings generated by other neural network methods. We then train the proposed FusionGAN system on the collected dataset to learn the expression of abstract paintings. Corresponding to the two-step operation of the combination of certainty and uncertainty in the artist's creation, the proposed FusionGAN system is also divided into two steps for the generation of abstract paintings. More specifically, the first step is the basic structure establishment, which corresponds to the fundamental certainty element in the painting creation. The second step is the realization of details, which integrates the uncertain details based on the basic structure. The experimental results achieved by our system in abstract painting generation enrich the diversity of artistic creation and have been recognized by art institutions, with some results displayed on their websites.

Application of boundary electro-osmotic pulse to reduce sludge-to-wall adhesion.

Adhesion is one of the main features of sewage sludge. This paper aims at reducing sludge-to-wall adhesion through formation of a water layer induced by boundary electro-osmotic pulse (BEOP) which is characterized by distributing anodes and cathodes on one surface and exerting a pulsating current. The effects of the related parameters, including current intensity, exerting time, frequency, duty cycle (DTC), and the ratio of cathodic surface area to anodic surface area (C/A), on the adhesive stress of sewage sludge with different moisture content were thoroughly studied. The results indicated that, under the optimal conditions of BEOP, the adhesive stress of sludge with moisture content of 35%, 45%, 60% and 70% was reduced by 40.4%, 54.5%, 31%, and 24.4%, respectively. The migrations of water, ions and organic matters were also investigated to explore the functional mechanism of BEOP. The results showed that the water migrated from the anode side to the cathode side, whereas the organic matters migrated in the opposite direction. The increment of the sludge moisture content on the cathode surface was reduced with the increase of distance away from the anode. Based on theoretical modeling, the distributions of current density and temperature in sludge cake were obtained. The current flowed from anode to cathode and decayed quickly with the increase of the flowing distance, which well explained the moisture content distribution in sludge cake.