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"Data recording"
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Technical challenges related to implementation of a formula one real time data acquisition and analysis system in a paediatric intensive care unit
Most existing, expert monitoring systems do not provide the real time continuous analysis of the monitored physiological data that is necessary to detect transient or combined vital sign indicators nor do they provide long term storage of the data for retrospective analyses. In this paper we examine the feasibility of implementing a long term data storage system which has the ability to incorporate real-time data analytics, the system design, report the main technical issues encountered, the solutions implemented and the statistics of the data recorded. McLaren Electronic Systems expertise used to continually monitor and analyse the data from F1 racing cars in real time was utilised to implement a similar real-time data recording platform system adapted with real time analytics to suit the requirements of the intensive care environment. We encountered many technical (hardware and software) implementation challenges. However there were many advantages of the system once it was operational. They include: (1) The ability to store the data for long periods of time enabling access to historical physiological data. (2) The ability to alter the time axis to contract or expand periods of interest. (3) The ability to store and review ECG morphology retrospectively. (4) Detailed post event (cardiac/respiratory arrest or other clinically significant deteriorations in patients) data can be reviewed clinically as opposed to trend data providing valuable clinical insight. Informed mortality and morbidity reviews can be conducted. (5) Storage of waveform data capture to use for algorithm development for adaptive early warning systems. Recording data from bed-side monitors in intensive care/wards is feasible. It is possible to set up real time data recording and long term storage systems. These systems in future can be improved with additional patient specific metrics which predict the status of a patient thus paving the way for real time predictive monitoring.
Journal Article
Site Amplification Analysis of Dushanbe City Area, Tajikistan to Support Seismic Microzonation
Being a country exposed to strong seismicity, the estimation of seismic hazard in Tajikistan is essential for urbanized areas, such as the rapidly growing capital city Dushanbe. To ensure people’s safety and adequate construction work, a detailed seismic microzonation is the key to proper hazard planning. Existing estimations of seismic hazard date back to 1978; they are based on engineering geological investigations and observed macroseismic data. Thereupon relies the Tajik Building Code, which considers seismic intensities according to the Medvedev–Sponheuer–Karnik Scale, MSK-64. However, this code does not accurately account for soil types, which vary considerably in Dushanbe—not only by their nature, but also due to increasing anthropogenic influences. In this study, we performed a series of analyses based on microtremor array measurements, seismic refraction tomography, and instrumental data recording from permanent stations for standard spectral ration and from mobile seismic stations for the horizontal to vertical spectral ratio in order to provide a comprehensive full-cover microzonation of Dushanbe accounting for soil types. Our results identify several critical areas where major damage is likely to occur during strong earthquakes.
Journal Article
Mixing and mastering in the box : the guide to making great mixes and final masters on your computer
\"Mixing and mastering, the two final steps in the complex process of sound engineering, require both artistic finesse and technical facility. Even the slightest difference in the way a sound is processed can lead to a shift in the overall aesthetic of a piece, and so sound engineers must work towards an understanding of sound engineering that is particularly oriented towards the artistic and aesthetic. In order to create effective mixes, a sound engineer must maintain a distinct set of artistic goals while drawing on an in-depth understanding of the software involved in the process. Creating final masters requires specialized aural skills and a similarly advanced understanding of the software in order to fine-tune the product with respect to these goals. Mixing and Mastering in the Box addresses the practical and technological necessities of these two final steps without neglecting the creative process that is integral to the creation of high-quality recordings. Savage focuses primarily on creating mixes and masters in the Digital Audio Workstation (DAW), or \"in the box,\" currently a popular platform in the field of sound engineering due to the creative advantages and advanced technological capabilities it offers to its users. However, much of the information presented in Mixing and Mastering in the Box is also applicable to analog mixing gear or a hybrid system of digital and analog tools. This book, which features over one hundred illustrations and a comprehensive companion website, is ideal for beginning or intermediate students in sound engineering with a focus on DAW, recording artists who do their own mixing and mastering, or musicians who wish to be better informed when collaborating on mixes and masters\"-- Provided by publisher.
Book
A design of a data acquisition unit for an annular fuel rod gap detection system
A design scheme of the data acquisition unit for the annular fuel rod gap detection system is proposed in response to the particularity and importance of the annular fuel rod in application. The working principle and hardware composition of the data acquisition unit are introduced. Functional module design, software design, and the test of the data acquisition unit are achieved. A dual CPU approach is adopted, one for parameter settings and control and the other for data collection to ensure that the data are not lost. The experimental results show that the proposed data acquisition unit has good adaptive ability, high stability, complete and accurate data recording. All performance indicators can meet the system detection requirements.
Journal Article
BIG DATA ANALYTICS AND PRECISION ANIMAL AGRICULTURE SYMPOSIUM: Machine learning and data mining advance predictive big data analysis in precision animal agriculture
Precision animal agriculture is poised to rise to prominence in the livestock enterprise in the domains of management, production, welfare, sustainability, health surveillance, and environmental footprint. Considerable progress has been made in the use of tools to routinely monitor and collect information from animals and farms in a less laborious manner than before. These efforts have enabled the animal sciences to embark on information technology-driven discoveries to improve animal agriculture. However, the growing amount and complexity of data generated by fully automated, high-throughput data recording or phenotyping platforms, including digital images, sensor and sound data, unmanned systems, and information obtained from real-time noninvasive computer vision, pose challenges to the successful implementation of precision animal agriculture. The emerging fields of machine learning and data mining are expected to be instrumental in helping meet the daunting challenges facing global agriculture. Yet, their impact and potential in \"big data\" analysis have not been adequately appreciated in the animal science community, where this recognition has remained only fragmentary. To address such knowledge gaps, this article outlines a framework for machine learning and data mining and offers a glimpse into how they can be applied to solve pressing problems in animal sciences.
Journal Article
Nonlinear spin control by terahertz-driven anisotropy fields
Non-thermal ultrafast switching of the magnetization in TmFeO
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is demonstrated. Few-cycle terahertz pulses modify the magnetic anisotropy of the ordered Fe
3+
spins and trigger nonlinear excitation of the amplitude of spin oscillations.
Future information technologies, such as ultrafast data recording, quantum computation or spintronics, call for ever faster spin control by light
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. Intense terahertz pulses can couple to spins on the intrinsic energy scale of magnetic excitations
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. Here, we explore a novel electric dipole-mediated mechanism of nonlinear terahertz-spin coupling that is much stronger than linear Zeeman coupling to the terahertz magnetic field
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. Using the prototypical antiferromagnet thulium orthoferrite (TmFeO
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), we demonstrate that resonant terahertz pumping of electronic orbital transitions modifies the magnetic anisotropy for ordered Fe
3+
spins and triggers large-amplitude coherent spin oscillations. This mechanism is inherently nonlinear, it can be tailored by spectral shaping of the terahertz waveforms and its efficiency outperforms the Zeeman torque by an order of magnitude. Because orbital states govern the magnetic anisotropy in all transition-metal oxides, the demonstrated control scheme is expected to be applicable to many magnetic materials.
Journal Article
The identification of children with autism spectrum disorder by SVM approach on EEG and eye-tracking data
To identify autistic children, we used features extracted from two modalities (EEG and eye-tracking) as input to a machine learning approach (SVM).
A total of 97 children aged from 3 to 6 were enrolled in the present study. After resting-state EEG data recording, the children performed eye-tracking tests individually on own-race and other-race stranger faces stimuli. Power spectrum analysis was used for EEG analysis and areas of interest (AOI) were selected for face gaze analysis of eye-tracking data. The minimum redundancy maximum relevance (MRMR) feature selection method combined with SVM classifiers were used for classification of autistic versus typically developing children.
Results showed that classification accuracy from combining two types of data reached a maximum of 85.44%, with AUC = 0.93, when 32 features were selected.
The sample consisted of children aged from 3 to 6, and no younger patients were included.
Our machine learning approach, combining EEG and eye-tracking data, may be a useful tool for the identification of children with ASD, and may help for diagnostic processes.
Journal Article
Robust direct digital-to-biological data storage in living cells
DNA has been the predominant information storage medium for biology and holds great promise as a next-generation high-density data medium in the digital era. Currently, the vast majority of DNA-based data storage approaches rely on in vitro DNA synthesis. As such, there are limited methods to encode digital data into the chromosomes of living cells in a single step. Here, we describe a new electrogenetic framework for direct storage of digital data in living cells. Using an engineered redox-responsive CRISPR adaptation system, we encoded binary data in 3-bit units into CRISPR arrays of bacterial cells by electrical stimulation. We demonstrate multiplex data encoding into barcoded cell populations to yield meaningful information storage and capacity up to 72 bits, which can be maintained over many generations in natural open environments. This work establishes a direct digital-to-biological data storage framework and advances our capacity for information exchange between silicon- and carbon-based entities.
A new DNA data storage technology—data recording in vivo by electrical stimulation (DRIVES)—places CRISPR-based DNA encoding activity under electrochemical control by coupling cellular redox state to CRISPR array gene expression.
Journal Article