Electronic textiles capable of sensing, powering, and communication can be used to non-intrusively monitor human health during daily life. However, achieving these functionalities with clothing is ...challenging because of limitations in the electronic performance, flexibility and robustness of the underlying materials, which must endure repeated mechanical, thermal and chemical stresses during daily use. Here, we demonstrate electronic textile systems with functionalities in near-field powering and communication created by digital embroidery of liquid metal fibers. Owing to the unique electrical and mechanical properties of the liquid metal fibers, these electronic textiles can conform to body surfaces and establish robust wireless connectivity with nearby wearable or implantable devices, even during strenuous exercise. By transferring optimized electromagnetic patterns onto clothing in this way, we demonstrate a washable electronic shirt that can be wirelessly powered by a smartphone and continuously monitor axillary temperature without interfering with daily activities.
Networks of sensors placed on the skin can provide continuous measurement of human physiological signals for applications in clinical diagnostics, athletics and human-machine interfaces. Wireless and ...battery-free sensors are particularly desirable for reliable long-term monitoring, but current approaches for achieving this mode of operation rely on near-field technologies that require close proximity (at most a few centimetres) between each sensor and a wireless readout device. Here, we report near-field-enabled clothing capable of establishing wireless power and data connectivity between multiple distant points around the body to create a network of battery-free sensors interconnected by proximity to functional textile patterns. Using computer-controlled embroidery of conductive threads, we integrate clothing with near-field-responsive patterns that are completely fabric-based and free of fragile silicon components. We demonstrate the utility of the networked system for real-time, multi-node measurement of spinal posture as well as continuous sensing of temperature and gait during exercise.
Abstract
The authors performed this study to investigate the efficacy and safety of a rosuvastatin (RSV)/amlodipine (AML) polypill compared with those of atorvastatin (ATV)/AML polypill. We included ...259 patients from 21 institutions in Korea. Patients were randomly assigned to 1 of 3 treatment groups: RSV 10 mg/AML 5 mg, RSV 20 mg/AML 5 mg, or ATV 20 mg /AML 5 mg. The primary endpoint was the efficacy of the RSV 10.20 mg/AML 5 mg via percentage changes in LDL‐C after 8 weeks of treatment, compared with the ATV 20 mg /AML 5 mg. There was a significant difference in the mean percentage change of LDL‐C at 8 weeks between the RSV 10 mg/AML 5 mg and the ATV 20 mg/AML 5 mg (full analysis set FAS: −7.08%, 95% CI: −11.79 to −2.38,
p
= .0034, per‐protocol analysis set PPS: −6.97%, 95% CI: −11.76 to −2.19,
p
= .0046). Also, there was a significant difference in the mean percentage change of LDL‐C at 8 weeks between the RSV 20 mg/AML 5 mg and the ATV 20 mg/AML 5 mg (FAS: −10.13%, 95% CI: −15.41 to −4.84,
p
= .0002, PPS: −10.96%, 95% CI: −15.98 to −5.93,
p
< .0001). There was no significant difference in the adverse events rates between RSV 10 mg/AML 5 mg, RSV 20 mg/AML 5 mg, and ATV 20 mg/AML 5 mg. In conclusion, while maintaining safety, RSV 10 mg/AML 5 mg and the RSV 20 mg/AML 5 mg more effectively reduced LDL‐C compared with the ATV 20 mg /AML 5 mg (Clinical trial: NCT03951207).
Seismic random noise is one of the main factors that degrade the quality of seismic data. Therefore, seismic random noise attenuation should be performed appropriately through several stages during ...seismic data processing, and this requires sufficient experience and knowledge because the proper hyperparameters need to be determined based on the features of the noise in the target seismic data. Recently, machine learning–based seismic noise attenuation has been widely studied because it provides suitable results by learning noise features from noisy data, unlike conventional physics‐based approaches. There are many important factors in machine learning, and, here, we focus on the loss functions of machine learning in terms of seismic random noise attenuation. The most widely used loss function is l2, but we train a model with various kinds of single and multiple loss functions and attenuate seismic random noise. We analyse the efficiency of loss functions by comparing the noise‐attenuated results of synthetic and field seismic data qualitatively and quantitatively. Our analysis indicates that the multiple loss function with the l1 norm can be a proper choice for random noise suppression of seismic data.
Near-field magnetic wireless systems have distinct advantages over their conventional farfield counterparts in water-rich environments, such as underwater, underground, and in biological tissues, due ...to lower power absorption. This paper presents a comprehensive review of near-field magnetic wireless power transfer (WPT) and communication technologies in a variety of applications from general free-space systems, to implantable biomedical devices we find of particular interest. To implement a fully wirelessly-powered implantable system, both high-efficiency power transfer and high-rate data communication are essential. This paper first presents the history and the fundamentals of near-field WPT and communication in free-space systems, followed by technical details for their specific use in implantable biomedical devices. Finally, this paper reviews recent advances in simultaneous wireless information and power transfer and highlights their applications in implantable biomedical systems. The knowledge reviewed in the paper could provide intuition in the design of various wireless and mobile systems such as wireless body area networks, small-cell 5G cellular, as well as in-body biomedical applications, especially for efficient power and data management and higher security.
Neuromorphic hardware computing is a promising alternative to von Neumann computing by virtue of its parallel computation and low power consumption. To implement neuromorphic hardware based on deep ...neural network (DNN), a number of synaptic devices should be interconnected with neuron devices. For ideal hardware DNN, not only scalability and low power consumption, but also a linear and symmetric conductance change with a large number of conductance levels is required. Here, an all‐solid‐state polymer electrolyte‐gated synaptic transistor (pEGST) is fabricated on an entire silicon wafer with CMOS microfabrication and initiated chemical vapor deposition process. The pEGST shows good linearity as well as symmetry in potentiation and depression, conductance levels up to 8,192, and low switching energy smaller than 20 fJ pulse−1. Selected 128 levels from 8,192 are used to identify handwritten digits in the MNIST database with the aid of a multilayer perceptron, resulting in a recognition rate of 91.7%.
An all‐solid‐state polymer electrolyte‐gated synaptic transistor (pEGST) is fabricated on an entire silicon wafer with CMOS microfabrication and initiated chemical vapor deposition process. The pEGST shows good linearity as well as symmetry in potentiation and depression, conductance levels up to 8,192, and low switching energy smaller than 20 fJ pulse−1.
A breakthrough was achieved this year by Okuzumi and colleagues, who successfully detected misfolded α-synuclein in serum through a modified seed amplification assay.1 Using immunoprecipitation ...followed by real-time quaking-induced conversion (RT-QUIC) in serum samples, the investigators showed high diagnostic performance in distinguishing a study group with clinically diagnosed Parkinson's disease (n=221) and multiple system atrophy (n=39) from non-neurodegenerative controls (n=128; area under the curve 0·96 95% CI 0·95–0·99 in Parkinson disease and 0·64 0·49–0·79 in multiple system atrophy).Okuzumi and colleagues identified structural differences between serum immunoprecipitation-RT-QUIC-derived amplified seeds from people with Parkinson's disease and those with multiple system atrophy. H-JK has received research funds from the Seoul National University Hospital, the National Information Society Agency, the Ministry of Science and ICT, the Ministry of Health and Welfare, Samil Pharmaceutical, Emocog, GemVax and KAEL, and Bukwang Pharm; and has received a travel grant from the International Parkinson and Movement Disorder Society. BJ reports grants or contracts from Peptron Korea, Abbvie Korea, and GemVax and KAEL; received consulting fees from AspenNeuroscience; received payment or honoraria for lectures for the Asian and Oceanian Parkinson's Disease and Movement Disorders Congress (AOPMC) 2023, Neurophysiology Education Course MDS–Asian and Oceanian Section (MDS-AOS), International Association of Parkinsonism and Related Disorders 2023, MDS-AOS Parkinson's disease online course, World Congress of Neurology (WCN) 2023, Asian Oceanian Congress of Neurology (AOCN) 2022, Movement Disorder Society of Australia and New Zealand 2022, WCN 2021, Mongolia Developing World Education Program 2021, Taichung Veterans General Hospital 40th Celebration 2021, MDS 2021, Basic Science Summer School Taiwan 2021, AOPMC 2021, and AOCN 2021; received support for attending meetings or travel from MDS 2022; and has a patent registered patent (South Korea), patent pending (South Korea), and patent pending (USA) for the apparatus and method for quantitative gait analysis based on single 2D video.
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