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Ultrasound Stickers That Can See Inside the Body

New stamp-sized ultrasound adhesives deliver clear images of the heart, lungs, and other internal organs.

Abstract

Continuous imaging of internal organs over days could provide crucial information about health and diseases and enable insights into developmental biology. We report a bioadhesive ultrasound (BAUS) device that consists of a thin and rigid ultrasound probe robustly adhered to the skin via a couplant made of a soft, tough, antidehydrating, and bioadhesive hydrogel-elastomer hybrid. The BAUS device provides 48 hours of continuous imaging of diverse internal organs, including blood vessels, muscle, heart, gastrointestinal tract, diaphragm, and lung. The BAUS device could enable diagnostic and monitoring tools for various diseases.

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Floating “Artificial Leaves” Generate Clean Fuels From Sunlight and Water

Floating “Artificial Leaves” Generate Clean Fuels From Sunlight and Water

Scientists have developed floating ‘artificial leaves’ that generate clean fuels from sunlight and water. They could eventually operate on a large scale at sea.

Abstract

Floating perovskite-BiVO4 devices for scalable solar fuel production Photoelectrochemical (PEC) artificial leaves hold the potential to lower the costs of sustainable solar fuel production by integrating light harvesting and catalysis within one compact device. However, current deposition techniques limit their scalability1, whereas fragile and heavy bulk materials can affect their transport and deployment. Here we demonstrate the fabrication of lightweight artificial leaves by employing thin, flexible substrates and carbonaceous protection layers. Lead halide perovskite photocathodes deposited onto indium tin oxide-coated polyethylene terephthalate achieved an activity of 4,266 µmol H2 g−1 h−1 using a platinum catalyst, whereas photocathodes with a molecular Co catalyst for CO2 reduction attained a high CO:H2 selectivity of 7.2 under lower (0.1 sun) irradiation. The corresponding lightweight perovskite-BiVO4 PEC devices showed unassisted solar-to-fuel efficiencies of 0.58% (H2) and 0.053% (CO), respectively. Their potential for scalability is demonstrated by 100 cm2 stand-alone artificial leaves, which sustained a comparable performance and stability (of approximately 24 h) to their 1.7 cm2 counterparts. Bubbles formed under operation further enabled 30–100 mg cm−2 devices to float, while lightweight reactors facilitated gas collection during outdoor testing on a river. This leaf-like PEC device bridges the gulf in weight between traditional solar fuel approaches, showcasing activities per gram comparable to those of photocatalytic suspensions and plant leaves. The presented lightweight, floating systems may enable open-water applications, thus avoiding competition with land use.

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Advanced New Sensors Could Transform Prosthetics and Robotic Limbs

Summary:

Abstract: Ultra-Thin Graphene Foam Based Flexible Piezoresistive Pressure Sensors for Robotics Over recent year, robotics has made a drastic impact in a variety of different markets. Although having many advantages from, safer workspace to speed and efficiency there are several drawbacks all ranging from their lack of ability to execute functions and tasks easily performed by humans. This is mainly due to their lack of ability to implement touch and haptic feedback. In this work, we show the use and applicability of ultra-thin graphene foam (GRF), with polydimethylsiloxane (PDMS) embedded into and over the structure, as an active layer in piezoresistive based pressure sensors for use in robotic touch sensing applications. It has been demonstrated in this work that thin GRF/PDMS-GRF consisting of a few layers of graphene is able to present sensitivity to pressures within the range of 0 to >100kPa. Although pressure sensitivities are not yet comparable to those of current work, it must be noted that the GRF used in this work is much thinner in comparison, consisting of only several layers of graphene.

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Predicting Others’ Behavior on the Road With Artificial Intelligence

Predicting Others’ Behavior on the Road With Artificial Intelligence

M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction

Abstract

Predicting future motions of road participants is an important task for driving autonomously in urban scenes. Existing models excel at predicting marginal trajectories for single agents, yet it remains an open question to jointly predict scene compliant trajectories over multiple agents. The challenge is due to exponentially increasing prediction space as a function of the number of agents. In this work, we exploit the underlying relations between interacting agents and decouple the joint prediction problem into marginal prediction problems. Our proposed approach M2I first classifies interacting agents as pairs of influencers and reactors, and then leverages a marginal prediction model and a conditional prediction model to predict trajectories for the influencers and reactors, respectively. The predictions from interacting agents are combined and selected according to their joint likelihoods. Experiments show that our simple but effective approach achieves state-of-the-art performance on the Waymo Open Motion Dataset interactive prediction benchmark.

Researchers have created a machine-learning system that efficiently predicts the future trajectories of multiple road users, like drivers, cyclists, and pedestrians, which could enable an autonomous vehicle to more safely navigate city streets. If a robot is going to navigate a vehicle safely through downtown Boston, it must be able to predict what nearby drivers, cyclists, and pedestrians are going to do next. Credit: MIT

Electronic Tattoo Offers Highly Accurate, Continuous Blood Pressure Monitoring

Summary:

Continuous monitoring of arterial blood pressure (BP) in non-clinical (ambulatory) settings is essential for understanding numerous health conditions, including cardiovascular diseases. Besides their importance in medical diagnosis, ambulatory BP monitoring platforms can advance disease correlation with individual behaviour, daily habits and lifestyle, potentially enabling analysis of root causes, prognosis and disease prevention. Although conventional ambulatory BP devices exist, they are uncomfortable, bulky and intrusive.

Scientists Create Cement Entirely Out of Waste Material

Summary:

Cement is a binder, a substance used in construction that hardens, sets, and adheres to other materials to bind them together. When sand and gravel are combined with cement, concrete is produced. Cement is classified as hydraulic or non-hydraulic, with non-hydraulic cement not setting when water is present, while hydraulic cement needs a chemical reaction between dry materials and water.

LORA TECHNOLOGY

Summary:

LoRaWAN is a wireless technology for Low Power Wide Area Network (LPWAN). Today, it is considered as one of the most serious alternatives for IoT thanks to its low cost, low power consumption equipments and its open business model...