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At least 217 records · Page 12Linked to original sources

Robust fuzzy principal component analysis (FPCA). A comparative study concerning interaction of carbon-hydrogen bonds with molybdenum-oxo bonds.

Principal component analysis (PCA) is a favorite tool in chemometrics for data compression and information extraction. PCA finds linear combinations of the original measurement variables that describe the significant variations in the data. However, it is well-known that PCA, as with any other multivariate statistical method, is sensitive to outliers, missing data, and poor linear correlation between variables due to poorly distributed variables. As a result data transformations have a large impact upon PCA. In this regard one of the most powerful approaches to improve PCA appears to be the fuzzification of the matrix data, thus diminishing the influence of outliers. In this paper we discuss a robust fuzzy PCA algorithm (FPCA). The new algorithm is illustrated on a data set concerning interaction of carbon-hydrogen bonds with transition metal-oxo bonds in molybdenum complexes. Considering, for example, a two component model, FPCA accounts for 97.20% of the total variance and PCA accounts only for 69.75%.

Journal Article↗

Compensation for the signal processing characteristics of ultrasound B-mode scanners in adaptive speckle reduction.

A systematic method to compensate for nonlinear amplification of individual ultrasound B-scanners has been investigated in order to optimise performance of an adaptive speckle reduction (ASR) filter for a wide range of clinical ultrasonic imaging equipment. Three potential methods have been investigated: (1) a method involving an appropriate selection of the speckle recognition feature was successful when the scanner signal processing executes simple logarithmic compressions; (2) an inverse transform (decompression) of the B-mode image was effective in correcting for the measured characteristics of image data compression when the algorithm was implemented in full floating point arithmetic; (3) characterising the behaviour of the statistical speckle recognition feature under conditions of speckle noise was found to be the method of choice for implementation of the adaptive speckle reduction algorithm in limited precision integer arithmetic. In this example, the statistical features of variance and mean were investigated. The third method may be implemented on commercially available fast image processing hardware and is also better suited for transfer into dedicated hardware to facilitate real-time adaptive speckle reduction. A systematic method is described for obtaining ASR calibration data from B-mode images of a speckle producing phantom.

Algorithms↗

Optimal filter-based detection of microcalcifications.

This paper deals with the problem of texture feature extraction in digital mammograms. We use the extracted features to discriminate between texture representing clusters of microcalcifications and texture representing normal tissue. Having a two-class problem, we suggest a texture feature extraction method based on a single filter optimized with respect to the Fisher criterion. The advantage of this criterion is that it uses both the feature mean and the feature variance to achieve good feature separation. Image compression is desirable to facilitate electronic transmission and storage of digitized mammograms. In this paper, we also explore the effects of data compression on the performance of our proposed detection scheme. The mammograms in our test set were compressed at different ratios using the Joint Photographic Experts Group compression method. Results from an experimental study indicate that our scheme is very well suited for detecting clustered microcalcifications in both uncompressed and compressed mammograms. For the uncompressed mammograms, at a rate of 1.5 false positive clusters/image our method reaches a true positive rate of about 95%, which is comparable to the best results achieved so far. The detection performance for images compressed by a factor of about four is very similar to the performance for uncompressed images.

Biomedical Engineering↗

Development of computerised procedures for the characterisation of the tableting properties with eccentric machines: extended Heckel analysis.

Heckel plots are a suitable and valuable method for analysis of powder compaction with very small amounts of powder. The determination is based upon a non-linear transformation of compression data and thus the signal errors that might be introduced into the analysis might be enlarged and become critical. The method of determination of true density affects the results dramatically as does the accuracy of the powder height determination. The porosity should be corrected for compression of the solid fraction. The accuracy of the powder height detection is the most demanding parameter. The statements are proven by simulations based on real data and analytic calculation. According to these highly corrected Heckel plots, the shape of the plots during the compression phase gives the information about fragmentation and plasticity and additionally about the time dependency of the compression behaviour within one compression on an eccentric press.

Algorithms↗

Particle slippage and rearrangement during compression of pharmaceutical powders.

Compression data from different size fractions of lactose, chloroquine diphosphate, stearic acid and calcium carbonate have been analysed using the Walker and the Heckel compression equations. Points of inflection in graphs of log applied pressure vs the reciprocal of the packing fraction at low pressures corresponded closely to figures for theoretical packing conditions for equisized spheres and are attributed to a change in the stage of compression. The degree of particle slippage and rearrangement taking place during compression has been shown to increase as the particle size of the powder decreases and to be more extensive for powders composed of non-spherical particles. In addition, three types of compression behaviour have been distinguished for the four powders studied.

Calcium Carbonate↗

Virtual sonography through the Internet: volume compression issues.

BACKGROUND: Three-dimensional ultrasound images allow virtual sonography even at a distance. However, the size of final 3-D files limits their transmission through slow networks such as the Internet. OBJECTIVE: To analyze compression techniques that transform ultrasound images into small 3-D volumes that can be transmitted through the Internet without loss of relevant medical information. METHODS: Samples were selected from ultrasound examinations performed during, 1999-2000, in the Obstetrics and Gynecology Department at the University Hospital in La Laguna, Canary Islands, Spain. The conventional ultrasound video output was recorded at 25 fps (frames per second) on a PC, producing 100- to 120-MB files (for from 500 to 550 frames). Processing to obtain 3-D images progressively reduced file size. RESULTS: The original frames passed through different compression stages: selecting the region of interest, rendering techniques, and compression for storage. Final 3-D volumes reached 1:25 compression rates (1.5- to 2-MB files). Those volumes need 7 to 8 minutes to be transmitted through the Internet at a mean data throughput of 6.6 Kbytes per second. At the receiving site, virtual sonography is possible using orthogonal projections or oblique cuts. CONCLUSIONS: Modern volume-rendering techniques allowed distant virtual sonography through the Internet. This is the result of their efficient data compression that maintains its attractiveness as a main criterion for distant diagnosis.

Algorithms↗

Volumetric properties of nucleic acids.

Volumetric studies can yield useful new information on a myriad of intra- and intermolecular interactions that stabilize nucleic acid structures. In particular, appropriately designed volumetric measurements can characterize the conformation-dependent hydration properties of nucleic acids as a function of solution conditions, including temperature, pressure, ionic strength, pH, and cosolvent concentration. We have started to accumulate a substantial database on volumetric properties of DNA and RNA, as well as on related low molecular weight model compounds. This database already has provided unique insights into the molecular origins of various nucleic acid recognition processes, including helix-to-coil and helix-to-helix conformational transitions, as well as drug-DNA interactions. In this article, we review recent progress in volumetric investigations of nucleic acids, emphasizing how these data can be used to gain insight into intra-and intermolecular interactions, including hydration properties. Throughout this review, we underscore the importance of volume and compressibility data for characterizing the hydration properties of nucleic acids and their constituents. We also describe how such volumetric data can be interpreted at the molecular level to yield a better understanding of the role that hydration can play in modulating the stability and recognition of nucleic acids.

Animals↗

Magnetic resonance imaging of the whole spine in suspected malignant spinal cord compression: impact on management.

Patients with suspected malignant spinal cord compression may present with a misleading sensory level or have multiple levels of compression that are not apparent clinically or on imaging of a limited area of the spine. To estimate how often this occurs and to evaluate a policy of magnetic resonance imaging (MRI) of the whole spine for any patient with suspected cord compression, data from 127 patients who had undergone MRI scans of the whole spine were reviewed. In 85 of 127 scans, there was evidence of compression of or impingement upon the spinal cord. A sensory level was present in 47 of these 85 patients, but in 12/47 (26%) the sensory level was four or more segments below or three or more segments above the actual lesion. Multiple levels of compression or impingement were found in 33 of 85 (39%) patients; in 24 of these, more than one region (cervical/thoracic/lumbar) of the cord was involved. For 32 patients who commenced radiotherapy to a treatment volume based on clinical criteria before the MRI scan was available, the radiotherapy fields needed modification in 16 (50%) as a result of the MRI findings. The results support a policy of MRI of the whole spine in any patient with suspected malignant spinal cord compression.

Female↗

A triphasic theory for the swelling and deformation behaviors of articular cartilage.

Swelling of articular cartilage depends on its fixed charge density and distribution, the stiffness of its collagen-proteoglycan matrix, and the ion concentrations in the interstitium. A theory for a tertiary mixture has been developed, including the two fluid-solid phases (biphasic), and an ion phase, representing cation and anion of a single salt, to describe the deformation and stress fields for cartilage under chemical and/or mechanical loads. This triphasic theory combines the physico-chemical theory for ionic and polyionic (proteoglycan) solutions with the biphasic theory for cartilage. The present model assumes the fixed charge groups to remain unchanged, and that the counter-ions are the cations of a single-salt of the bathing solution. The momentum equation for the neutral salt and for the intersitial water are expressed in terms of their chemical potentials whose gradients are the driving forces for their movements. These chemical potentials depend on fluid pressure p, salt concentration c, solid matrix dilatation e and fixed charge density cF. For a uni-uni valent salt such as NaCl, they are given by mu i = mu io + (RT/Mi)ln[gamma 2 +/- c(c + cF)] and mu w = mu wo + [p-RT phi (2c + cF) + Bwe]/pwT, where R, T, Mi, gamma +/-, phi, pwT and Bw are universal gas constant, absolute temperature, molecular weight, mean activity coefficient of salt, osmotic coefficient, true density of water, and a coupling material coefficient, respectively. For infinitesimal strains and material isotropy, the stress-strain relationship for the total mixture stress is sigma = - pI-TcI + lambda s(trE)I + 2 musE, where E is the strain tensor and (lambda s, mu s) are the Lamé constants of the elastic solid matrix. The chemical-expansion stress (-Tc) derives from the charge-to-charge repulsive forces within the solid matrix. This theory can be applied to both equilibrium and non-equilibrium problems. For equilibrium free swelling problems, the theory yields the well known Donnan equilibrium ion distribution and osmotic pressure equations, along with an analytical expression for the "pre-stress" in the solid matrix. For the confined-compression swelling problem, it predicts that the applied compressive stress is shared by three load support mechanisms: 1) the Donnan osmotic pressure; 2) the chemical-expansion stress; and 3) the solid matrix elastic stress. Numerical calculations have been made, based on a set of equilibrium free-swelling and confined-compression data, to assess the relative contribution of each mechanism to load support. Our results show that all three mechanisms are important in determining the overall compressive stiffness of cartilage.

Biomechanical Phenomena↗

Non-destructive prediction of lead content in oilseed rape leaves by fluorescence hyperspectral technology based on neural network.

Based on fluorescence hyperspectral imaging (FHSI), this study targeted rapid, non-destructive quantification of lead (Pb) content in oilseed rape leaves treated with varying silicon (Si) concentrations, acquiring fluorescence spectra over the 484.43-1001.61 nm wavelength range. To optimize spectral data quality, preprocessing methods (Savitzky-Golay smoothing, first derivative, detrending) were comprehensively compared. Characteristic wavelengths were then selected via interval variable iterative shrinkage, which effectively compressed data dimensionality and reduced computational load. A hybrid SE-CL1DA model, fusing a 1D convolutional neural network, a long short-term memory network and SE attention mechanism was constructed, with Bayesian optimization tuning hyperparameters to boost stability. The BO-SE-CL1DA outperformed both traditional machine learning and insufficiently optimized deep learning model (Rp2=0.9609, RMSE = 0.0377 mg/kg, RPD = 5.1736), thus enabling accurate Pb estimation, supporting Si-regulated heavy metal stress management and facilitating agricultural contamination monitoring.

Plant Leaves↗

Compressibility as a means to detect and characterize globular protein states.

We report compressibility data on single-domain, globular proteins which suggest a general relationship between protein conformational transitions and delta kzeroS, the change in the partial specific adiabatic compressibility which accompanies the transition. Specifically, we find transitions between native and compact intermediate states to be accompanied by small increases in kzeroS of +(1-4) x 10(-6) cm3.g-1.bar-1 (1 bar = 100 kPa). By contrast, transitions between native and partially unfolded states are accompanied by small decreases in kzeroS of -(3-7) x 10(-6) cm3.g-1.bar-1, while native-to-fully unfolded transitions result in large decreases in kzeroS of -(18-20) x 10(-6) cm3.g-1.bar-1. Thus, for the single-domain, globular proteins studied here, changes in kzeroS correlate with the type of transition being monitored, independent of the specific protein. Consequently, kzeroS measurements may provide a convenient approach for detecting the existence of and for defining the nature of protein transitions, while also characterizing the hydration properties of individual protein states.

Chymotrypsinogen↗

Compressional characteristics of four starches.

Compression data about barley, corn, potato and wheat starches were obtained by two methods: the ejected tablet method and the tablet-in-die-method. These data were analysed using the Heckel and the Cooper-Eaton equations. The Heckel equation appeared to be the more sensitive in distinguishing the various stages during the compression. Die filling and rearrangement processes for the starches were especially dependent on particle size and shape and thus on contact area between particles. Densification of large starch particles (potato starch) owed more to die filling and less to rearrangement. Densification of small particles (corn starch) was the reverse. Starch having a wide particle size distribution (wheat) or an irregular particle shape (barley) underwent a relatively small amount of densification as a result of die filling and a relatively great amount of densification because of rearrangement of particles during tableting. The tendency of the starches to total and pure plastic deformation was dependent on particle size, size distribution and particle shape. Corn starch was the most prone to plastic flow with only little elastic recovery. Potato starch also flowed plastically with ease. Barley and wheat starches were the more elastic.

Drug Compounding↗

Teleradiology.

Teleradiology refers to the transmission of radiographic images from one location to another. Most of the work to date has involved scanning of conventional radiographs at clinics and other medical facilities with no full-time radiologist and transmitting the images to a medical center or hospital, where they are viewed on a television monitor and interpreted by a diagnostic radiologist. In this article, the author describes the 1982 and 1984 Teleradiology Field Trials, the objectives of which were (1) to compare the quality of film and video images in the field, which involved determination of sensitivity, specificity, and overall accuracy under both sets of viewing conditions; (2) to evaluate the reliability, maintenance, and communication functions of the teleradiology system; (3) to determine the costs involved in developing such a system and for day-to-day operation; and (4) to formulate recommendations for hardware, software, communication protocols, operating procedures, staff qualifications, and training requirements for future systems. Today, commercially available systems include high-speed digitization of radiographs, data compression, local storage, automatic transmission, selective retrieval, image enhancement, and interfacing with conventional computer systems.

Computers↗

[Analysis of gamma-ray spectra by using fast Fourier transform (author's transl)].

In order to simplify the mass data processing in a response matrix method for gamma-ray spectral analysis, a method using a Fast Fourier Transform devised. The validity of the method was confirmed by a computer simulation for spectra of a NaI detector. The method uses the fact that spectral data can be represented by Fourier series with reduced number of terms. The estimation of intensities of gamma-ray components is performed by a matrix operation using the compressed data of an observation spectrum and standard spectra in Fourier coefficients. The identification of gamma-ray energies is also easy. Several features in the method and a general problem to be solved in a response matrix method are described.

Fourier Analysis↗

A low-complexity intracardiac electrogram compression algorithm.

Implantable cardioverter defibrillators (ICD's) detect, diagnose and treat the potentially fatal heart arrhythmias known as bradycardia, ventricular tachycardia (VT), and ventricular fibrillation (VF) in cases where these arrhythmias are resistant to surgical and drug-based treatments by direct sensing and electrical stimulation of the heart muscle. Since the ICD is implanted, power consumption, reliability, and size are severe design constraints. This paper targets the problems associated with increasing the signal recording capabilities of an ICD. A data-compression algorithm is described which has been optimized for low power consumption and high reliability implementation. Reliance on a patients morphology or that of a population of patients is avoided by adapting to the intracardiac electrogram (ICEG) amplitude and phase variations and by using adaptive scalar quantization. The algorithm is compared to alternative compression algorithms which are also patient independent using a subset of VT arrhythmias from a data base of 146 patients. At low distortion the algorithm is closest to the Shannon lower bound achieving an average of 3.5 b/sample at 5% root mean square distortion for a 250-Hz sample rate. At higher distortion vector quantization and Karhunen-Loeve Transform approaches are superior but at the cost of considerable additional computational complexity.

Algorithms↗

Effect of moisture content on compression properties of two dextrose-based directly compressible diluents.

Moisture sorption characteristics and the effect of moisture content on the compression properties of two dextrose-based directly compressible diluents, namely, Emdex (diluent A) and Sweetrex (diluent B) were studied. Both diluents sorbed moisture rapidly at relative humidities greater than 60%. For both the diluents, pressures required to compress tablets to the same relative density decreased with increasing moisture content. Yield pressures calculated from linear Heckel plots obtained from the compression data of both diluents reflected decreasing values with increasing moisture content. Three-way surface profile graphs of moisture content versus tablet parameters such as crushing force, relative density, and compression pressure give a unique overall picture of the compression properties of a diluent and offer the tablet formulator a useful tool for diluent comparison.

Chemical Phenomena↗

The formal specification of an electrocardiogram compressor.

Remote telemonitoring of physiological parameters is being used increasingly both for medical research and for clinical management. However, the technique entails the collection of large volumes of information for transmission and storage which necessitates efficient means of data compression. This paper presents a simple mathematical model of the lossy compression of physiological signals. The model is developed in a top-down style making design decisions progressively. First a general model of lossy compression is developed and some lemmas presented. Then the model is refined to take advantage of inherent cyclicity in many types of physiological signal. Finally the model is specialized to the compression of electrocardiograms. An algorithm is described for implementing the model. The algorithm is a table-based method capable of achieving very low output bit rates (50 bps) with reasonable fidelity. This compares favourably with the results obtained by other workers and holds promise for further evaluation. The generality of the model should ultimately allow a coherent approach to the compression of the various types of physiological signal currently being recorded.

Algorithms↗

SKiM: accurately classifying metagenomic ONT reads in limited memory.

MOTIVATION: Oxford Nanopore Technologies' devices, such as MinION, permit affordable, real-time DNA sequencing, and come with targeted sequencing capabilities. Such capabilities create new challenges for metagenomic classifiers that must be computationally efficient yet robust enough to handle potentially erroneous DNA reads, while ideally inspecting only a few hundred bases of a read. Currently available DNA classifiers leave room for improvement with respect to classification accuracy, memory usage, and the ability to operate in targeted sequencing scenarios. RESULTS: We present SKiM: Short K-mers in Metagenomics, a new lightweight metagenomic classifier designed for ONT reads. Compared to state-of-the-art classifiers, SKiM requires only a fraction of memory to run, and can classify DNA reads with higher accuracy after inspecting only their first few hundred bases. To achieve this, SKiM introduces new data compression techniques to maintain a reference database built from short k-mers, and treats classification as a statistical testing problem. AVAILABILITY AND IMPLEMENTATION: SKiM source code, documentation, and test data are available from: https://gitlab.com/SCoRe-Group/skim.

Metagenomics↗