Soft wireless sternal patch to detect systemic vasoconstriction using photoplethysmography

Data-driven representative models to accelerate scaled-up atomistic simulations of bitumen and biobased complex fluids

“…To analyse the accuracy and representativity of the resulting models, i.e., FT, PT, AG, and SG models, a control model that includes all the molecules characterised by GCMS was also created and is referred to as the all-molecule model. DFT calculations were performed for the all-molecule model, and weighted average molecular descriptors were calculated following eqn (7), where again P i is the proportion of a molecule within the model, x the descriptor being averaged, x all the weighted average for such descriptor, and N the total number of molecules in the model.…”

“…To this end, bio-oils from pyrolysis of biomass waste are drawing attention as asphalt rejuvenators due to their ability to scavenge free radicals and hinder damage caused by oxidative ageing. 6,7 Similarly, there is also strong interest in their use of bio-oils as precursors for transport fuels such as diesel, gasoline, or kerosene. 8 Biofuel application requires total or partial upgrading to uids compatible with traditional renery streams, which implies full deoxygenation of the molecular components.…”

Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms

“…They should have a low elastic modulus, the epidermis and dermis have elastic moduli of 140-600 kPa and 2-80 kPa, respectively, and stretchability suited for the region of interest, which can range from 10-80% [16]. The requirements for a low elastic modulus and high stretchability are typically achieved by integrating a very thin (< 20 µm) metal, conductive polymer composite, or conductive nanomaterial dispersion in a stretchable substrate, like urethane or fabric [17][18][19]. Second, the sensors must be highly sensitive over the strain region of interest, which is controlled primarily by the material properties and judicious patterning of the sensor [11,20,21].…”

“…The final key requirement for the physical sensors is that they may be rapidly manufactured in a scalable fabrication process [26,27]. For instance, photolithographic patterning and complex two stage transfer fabrication has yielded exceptional strain gauge performance, but such approaches are not suited for industrial scales [4,17]. Instead, fully printed sensors, which in many cases may be integrated into mature roll to roll manufacturing systems, offer a much more attractive method to translate fundamental discoveries in materials and interfaces for strain sensors to practical applications [27,28].…”

“…Finally, the sensors must be integrated into a functional system with wearable electronics capable of either detecting motion on-site or broadcasting data to a remote processor via Bluetooth [4]. These systems often must be minimally obtrusive to the user and highly portable, requiring them to either utilize skin-interfaced electronics or electronic garments [17,18]. Furthermore, machine learning algorithms must be developed and tuned to classify human motions based on the sensor data [6,41].…”