The implementation and evaluation of a system providing both extensive nutritive-analysis calculations and interactive capabilities are described. The extensive calculating ability of the system arose from the historic need for nutrient intake estimates in clinical investigation and nutritional research. The availability of computer-aided instruction (CAI) system software lead to adoption of the interactive style originating at Ohio State University. Capabilities evolved into an extended interactive processor utilizing an extensive data-base. The interactive processor functions either directly, for immediate response, or as a preprocessor for the more extensive processing system. Use of this capability by a dietetics consortium in the Pacific North-west has lead to definitions of effective and desirable styles of interaction by dietitians with a food and nutrient data-base. Hosting the PILOT CAI language with a high-level language, SAIL, allowed convenient and flexible dialogue creation as well as computational power. The central data-base was restructured on two occasions to accommodate the required characteristics for foods and their nutrients. The lack of interfaces between medical-information packages, and between languages, presently limits the growth of this system into a fully integrated component of the health-care information domain.
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http://dx.doi.org/10.3109/14639238009001408 | DOI Listing |
Introduction: This study aims to investigate the impact of auditory input on postural control in young adult cochlear implant users with profound sensorineural hearing loss. The research explores the relationship between auditory cues and static postural stability in individuals with hearing impairment.
Methods: 34 young adult cochlear implant users, consisting of 15 males and 19 females aged 18-35 years, underwent various balance tests, including the modified Clinical Tests of Sensory Interaction on Balance (mCTSIB) and the Unilateral Stance Test (UST), under different auditory conditions: (1) White noise stimulus present with the sound processor activated, (2) Ambient noise present with the sound processor activated, and (3) Sound processor deactivated.
Biomed Eng Lett
January 2025
School of Chemistry and Chemical Engineering, Tianjin University of Technology, Tianjin, 300384 People's Republic of China.
Brain-computer interface (BCI) has been widely used in human-computer interaction. The introduction of artificial intelligence has further improved the performance of BCI system. In recent years, the development of BCI has gradually shifted from personal computers to embedded devices, which boasts lower power consumption and smaller size, but at the cost of limited device resources and computing speed, thus can hardly improve the support of complex algorithms.
View Article and Find Full Text PDFJ Environ Radioact
December 2024
Belgian Nuclear Research Centre (SCK CEN), Boeretang 200, 2400, Mol, Belgium.
A soil-vegetation-atmospheric transfer (SVAT) model for radon and its progeny is presented to improve process-level understanding of the role of forests in taking-up radionuclides from soil radon outgassing. A dynamic system of differential equations couples soil, tree (Scots pine) and atmospheric processes, treating the trees as sources, sinks and conduits between the atmosphere and the soil. The model's compartments include a dual-layer soil column undergoing hydrological and solute transport, the tree system (comprising roots, wood, litter, and foliage) and the atmosphere, with physical processes governing the transfers of water and radon products between these compartments.
View Article and Find Full Text PDFnpj Quantum Inf
November 2024
School of Physics, Trinity College Dublin, Dublin 2, Ireland.
Quantum computing platforms are subject to contradictory engineering requirements: qubits must be protected from mutual interactions when idling ('doing nothing'), and strongly interacting when in operation. If idling qubits are not sufficiently protected, information 'leaks' into neighbouring qubits, becoming ultimately inaccessible. Candidate solutions to this dilemma include many-body localization, dynamical decoupling, and active error correction.
View Article and Find Full Text PDFFront Netw Physiol
November 2024
Department of Mathematics, Northeastern University, Boston, MA, United States.
In this mini review, we propose the use of the Julia programming language and its software as a strong candidate for reproducible, efficient, and sustainable physiological signal analysis. First, we highlight available software and Julia communities that provide top-of-the-class algorithms for all aspects of physiological signal processing despite the language's relatively young age. Julia can significantly accelerate both research and software development due to its high-level interactive language and high-performance code generation.
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