12,886 resources related to Biochemistry
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IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.
The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore
The conference is the primary forum for cross-industry and multidisciplinary research in automation. Its goal is to provide a broad coverage and dissemination of foundational research in automation among researchers, academics, and practitioners.
2019 IEEE 58th Conference on Decision and Control (CDC)
The CDC is recognized as the premier scientific and engineering conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, systems and control, and related areas.The 58th CDC will feature contributed and invited papers, as well as workshops and may include tutorial sessions.The IEEE CDC is hosted by the IEEE Control Systems Society (CSS) in cooperation with the Society for Industrial and Applied Mathematics (SIAM), the Institute for Operations Research and the Management Sciences (INFORMS), the Japanese Society for Instrument and Control Engineers (SICE), and the European Union Control Association (EUCA).
The conference covers all aspects of the technology associated with ultrasound generation and detection and their applications.
The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
The IEEE Reviews in Biomedical Engineering will review the state-of-the-art and trends in the emerging field of biomedical engineering. This includes scholarly works, ranging from historic and modern development in biomedical engineering to the life sciences and medicine enabled by technologies covered by the various IEEE societies.
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Specific topics of interest include, but are not limited to, sequence analysis, comparison and alignment methods; motif, gene and signal recognition; molecular evolution; phylogenetics and phylogenomics; determination or prediction of the structure of RNA and Protein in two and three dimensions; DNA twisting and folding; gene expression and gene regulatory networks; deduction of metabolic pathways; micro-array design and analysis; proteomics; ...
2007 8th International Conference on Electronic Measurement and Instruments, 2007
Automatic biochemistry analyzer is a necessary instrument for clinical diagnostics. In this paper, a new scheme of concentrated control system for Automatic biochemistry analyzer based on FPGA (field programmable gate array) is put forward. As an important part of automatic biochemistry analyzer, motor control system is one of key parts. In the light of the problems of stepping motor in ...
2017 IEEE International Conference on Plasma Science (ICOPS), 2017
This interdisciplinary research project, which focuses on the emerging field of plasma agriculture, seeks to better understand the chemical and physical effects of cold plasma processing on plants and their essential oils. Cold plasma processing has been shown to be a rapid, economical, and pollution-free method to improve plant seed performance and crop yield . Essential oils are aromatic oily ...
2016 Progress in Electromagnetic Research Symposium (PIERS), 2016
Summary form only given. This study presents experimental data and related theoretical calculations for the effects of static and radio frequency magnetic fields in the biological production of reactive oxygen species (ROS). This paper discusses a mechanism of spin-biochemistry providing a fundamental relation between bioenergetics and ROS product channeling. Intracellular superoxide (O2.-) and extracellular hydrogen peroxide (H2O2) were investigated in ...
IEEE Journal of Biomedical and Health Informatics, 2016
Blood biochemistry attributes form an important class of tests, routinely collected several times per year for many patients with diabetes. The objective of this study is to investigate the role of blood biochemistry for improving the predictive accuracy of the diagnosis of cardiac autonomic neuropathy (CAN) progression. Blood biochemistry contributes to CAN, and so it is a causative factor that ...
2016 IEEE International Conference on Image Processing (ICIP), 2016
Remotely extracting information about the biochemical properties of the materials in an environment from airborne- or satellite-based hyperspectral sensor has a variety of applications in forestry, agriculture, mining, environmental monitoring and space exploration. In this paper, we propose a new non-stationary covariance function, called exponential spectral angle mapper (ESAM) for predicting the biochemistry of vegetation from hyperspectral imagery using Gaussian ...
Automatic biochemistry analyzer is a necessary instrument for clinical diagnostics. In this paper, a new scheme of concentrated control system for Automatic biochemistry analyzer based on FPGA (field programmable gate array) is put forward. As an important part of automatic biochemistry analyzer, motor control system is one of key parts. In the light of the problems of stepping motor in application, such as surge at low frequency, low torque at high frequency and bad frequency characteristic, the paper presents a kind of practical method of the constant flow chopping subdivision driving based on FPGA. This scheme solves oscillation of stepping motor, improves the control system of biochemistry analyzer instrument.
This interdisciplinary research project, which focuses on the emerging field of plasma agriculture, seeks to better understand the chemical and physical effects of cold plasma processing on plants and their essential oils. Cold plasma processing has been shown to be a rapid, economical, and pollution-free method to improve plant seed performance and crop yield . Essential oils are aromatic oily liquids extracted from different parts of plants, such as the leaves, flowers, and roots. Among the various beneficial properties of essential oils is their demonstrated antioxidant effect ,  directly applicable to foods that are prone to oxidative consequences such as poor flavor, bad odors, and spoilage. Antioxidants, either synthetic (e.g., butylated hydroxytoluene, BHT) or natural (e.g., Vitamin C), are routinely added to processed foods to inhibit or delay oxidation. Essential oils are examples of natural antioxidants. Although synthetic antioxidants like BHT and BHA (butylated hydroxyanisole) are very effective, they have been shown to be potentially harmful to human health with demonstrated evidence of causing cancer in laboratory animals . As a result, food scientists have been seeking alternative natural compounds as substitute antioxidants, such as essential oils. We have observed a growth effect in our preliminary studies treating basil plants with cold plasmas. We have also observed that plasma treatment increases the antioxidant activity of essential oils. Our preliminary work further revealed a difference in the composition of individual antioxidant components between the plasma-treated and non- plasmatreated basil. Following up on our preliminary research, our present investigation sought to better understand cold plasma's physical and biochemical-molecular effects on basil plants. These latter findings are the focus of this presentation.
Summary form only given. This study presents experimental data and related theoretical calculations for the effects of static and radio frequency magnetic fields in the biological production of reactive oxygen species (ROS). This paper discusses a mechanism of spin-biochemistry providing a fundamental relation between bioenergetics and ROS product channeling. Intracellular superoxide (O2.-) and extracellular hydrogen peroxide (H2O2) were investigated in vitro along with respiration and glycolysis with primary human umbilical vein endothelial cells (HUVECs). Theoretical analysis considers RF magnetic field effects in a one-proton radical pair model. HUVECs were exposed to either 50 μT static magnetic fields (SMF), or to static magnetic fields combined with 1.4 or 7MHz RF magnetic fields in parallel or perpendicular corresponding to Zeeman and hyperfine interactions, respectively. We observe differential changes in bioenergetics and in consumption of O2.-and production H2O2as a function of angle between SMF and RF magnetic fields. There are several notable results from the 1.4MHz (Zeeman) preliminary data. In perpendicular mode, both ROS are decreased but not in the same proportion - less O2.-than H2O2, respiration is unchanged, whereas glycolytic activity is increased. The decrease in ROS production with enhanced glycolytic activity may be due to effective scavenging of ROS by pyruvate. In parallel mode, a decrease in O2.-and an increase in H2O2is observed, respiration is increased, whereas glycolysis is unchanged. The orientation effects that lead to specific ROS product distribution is consistent with the spin biochemistry model; however, we do not know the specific spin biochemistry targets or signaling channels that lead to changes in bioenergetics. We propose that O2.-and H2O2production in metabolic processes occur through singlet-triplet modulation of semiquinone flavin (FADH.) enzymes and O2.-spin-correlated radical pairs. Spin-radical pair products are modulated by the RF magnetic fields that presumably decouple flavin hyperfine interactions during spin coherence. RF flavin hyperfine decoupling results in changes of H2O2singlet state products, which creates cellular oxidative stress and acts as a secondary messenger that affects bioenergetics. This study demonstrates the interplay between O2.-and H2O2production when influenced by RF magnetic fields and underscores the subtle effects of low-frequency magnetic fields on oxidative metabolism, ROS signaling, and cellular growth.
Blood biochemistry attributes form an important class of tests, routinely collected several times per year for many patients with diabetes. The objective of this study is to investigate the role of blood biochemistry for improving the predictive accuracy of the diagnosis of cardiac autonomic neuropathy (CAN) progression. Blood biochemistry contributes to CAN, and so it is a causative factor that can provide additional power for the diagnosis of CAN especially in the absence of a complete set of Ewing tests. We introduce automated iterative multitier ensembles (AIME) and investigate their performance in comparison to base classifiers and standard ensemble classifiers for blood biochemistry attributes. AIME incorporate diverse ensembles into several tiers simultaneously and combine them into one automatically generated integrated system so that one ensemble acts as an integral part of another ensemble. We carried out extensive experimental analysis using large datasets from the diabetes screening research initiative (DiScRi) project. The results of our experiments show that several blood biochemistry attributes can be used to supplement the Ewing battery for the detection of CAN in situations where one or more of the Ewing tests cannot be completed because of the individual difficulties faced by each patient in performing the tests. The results show that AIME provide higher accuracy as a multitier CAN classification paradigm. The best predictive accuracy of 99.57% has been obtained by the AIME combining decorate on top tier with bagging on middle tier based on random forest. Practitioners can use these findings to increase the accuracy of CAN diagnosis.
Remotely extracting information about the biochemical properties of the materials in an environment from airborne- or satellite-based hyperspectral sensor has a variety of applications in forestry, agriculture, mining, environmental monitoring and space exploration. In this paper, we propose a new non-stationary covariance function, called exponential spectral angle mapper (ESAM) for predicting the biochemistry of vegetation from hyperspectral imagery using Gaussian processes. The proposed covariance function is based on the angle between the spectra, which is known to be a better measure of similarity for hyperspectral data due to its robustness to illumination variations. We demonstrate the efficacy of the proposed method with experiments on a real-world hy-perspectral dataset.
Compact fiber optical and thermal sensor for non invasive measurement of blood biochemistry including glucose, hemoglobin and it's derivatives concentrations is developed as a prototype of the point-of-care diagnostic devices for cardiologic, tumour and diabetic patients. Integrated platform for data acquisition, data processing and communication to remote networks has been developed on the pocket PC. Method of non-invasive monitoring of human blood biochemistry based on spatially localized NIR diffuse scattering spectroscopy and metabolic heat measurements has been developed. Multivariate statistical analysis and cluster analysis was applied to convert sensor pickup signals into physicochemical variables.
Statistical models have been successful in accurately estimating the biochemical contents of vegetation from the reflectance spectra. However, their performance deteriorates when there is a scarcity of sizable amount of ground truth data for modeling the complex nonlinear relationship occurring between the spectrum and the biochemical quantity. We propose a novel Gaussian process based multitask learning method for improving the prediction of a biochemical through the transfer of knowledge from the learned models for predicting related biochemicals. This method is most advantageous when there are few ground truth data for the biochemical of interest, but plenty of ground truth data for related biochemicals. The proposed multitask Gaussian process hypothesizes that the inter-relationship between the biochemical quantities is better modeled by using a combination of two or more covariance functions and inter-task correlation matrices. In the experiments, our method outperformed the current methods on two real-world datasets.
In this paper, we establish some multi-dimensional biochemistry molecular relaxation recognition pattern models for the concentrations of gas mixture constituents versus effective relaxation frequency, multi-relaxation absorption, and acoustic velocity, respectively. Based on these match models and measured parameters, we propose a biochemistry molecular relaxation pattern recognition algorithm to detect concentration of each component in gas mixture. As a sample of carbon monoxide, water vapor, nitrogen and oxygen gas mixture, the simulation results demonstrate that this algorithm can gain the concentration of gas with arbitrary concentration and polar.
The biochemistry analyzer has been widely used to quantitative measuring and analyzing various biologic and chemical elements of human body fluid in clinic. In this paper, a kind of semiautomated biochemistry analyzer based on C8051Fxxx single chip microcomputer is presented. The analyzer employed the photoelectric measurement method and the end-point analyzing method as well as dynamic analyzing method and so on. The measured items are above 40 and more than 1000 results can be stored. Moreover, the analyzer can communicate with the personal computer by RS-232 interface. Compared with the same type other product, this analyzer has the advantages of small volume, high ratio of performance to price and easy operation.
A combined depth- and time-resolved fluorescence measurement system with ultraviolet excitation at 375 nm is built to assess the layered structure and biochemistry of epithelial tissue. The experiments on epithelial cells suggested that the time-resolved autofluorescence dominated by free/bound NADH signals, are sensitive indicators for cell metabolism and can be used to sense the metabolic status of epithelial tissue. Moreover, we found that the fluorescence time decays of different epithelial tissue layers can produce the contrast to resolve the tissue fine structure. This study demonstrated that the combined depth- and time-resolved autofluorescence measurements with single excitation at 375 nm can potentially provide accurate information for the diagnosis of tissue pathology.
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Microbes - Postdoctoral Researcher
Lawrence Livermore National Laboratory