869 research outputs found
A new gradient based variable step-size LMS algorithm
A new gradient-based variable step-size
LMS algorithm (VSSLMS) is proposed in this paper.
The step size of the proposed algorithm is
proportional to the squared norm of the smoothed
gradient vector, which is a proximity measure of the
adaptive process. In comparison with the existing
methods, the proposed VSSLMS algorithm has
improved convergence properties. Furthermore, the
parameter choice of the proposed algorithm can be
easily determined according to the analysis.
Simulation results show the good properties of the
proposed algorithm and support the performance
analysis
Steady-state performance analysis of a variable tap-length LMS algorithm
A steady-state performance analysis of the fractional
tap-length (FT) variable tap-length least mean square (LMS) algorithm is
presented in this correspondence. Based on the analysis, a mathematical
formulation for the steady-state tap length is obtained. Some general
criteria for parameter selection are also given. The analysis and the associated
discussions give insight into the performance of the FT algorithm,
which may potentially extend its practical applicability. Simulation results
support the theoretical analysis and discussions
第73回千葉医学会総会記事
Microarray data of genes with lower expression levels (<0.74, p < 0.05) in 35S:ROXY19 plants as compared to control plants and their response to TIBA in the Col-0 background. The table contains the gene identity (AGI), description, the mean expression values of four independent biological replicates of the genotypes Col-0 and 35S:ROXY19#8, the ratios (FC, fold changes, log2) of the transcript levels in the transgenic line with respect to Col-0 and the corresponding p-values, the ratios between Col-0 treated with 0.1 % DMSO and Col-0 treated with 0.1 mM TIBA/0.1 % DMSO and the corresponding p-values. Since the microarray analysis of the TIBA-treated plants was performed with the Affimetrix ATH1 gene chip, the list contains 301 and not 321 genes. Genes that are not induced by TIBA are shown in light grey. FC, fold changes. For TIBA induction, plants were grown for six to seven weeks on steamed soil (Archut, Fruhstorfer Erde, T25, Str1fein) in growth chambers with light intensity at 37 to 45 μmol photons m−2 s−1 at 22 °C and 60 % humidity. Eight plants were sprayed with either 0.1 mM TIBA/0.1 % DMSO or with 0.1 % DMSO and leaves were harvested after eight h. The experiment was repeated three times. (XLSX 205 kb
An Unorthodox Introduction to QCD
These are lecture notes presented at the 2017 CTEQ Summer School at the
University of Pittsburgh and the 2018 CTEQ Summer School at the University of
Puerto Rico, Mayaguez. The title is a reference to hep-th/0309149 and
introduces perturbative QCD and its application to jet substructure from a
bottom-up perspective based on the approximation of QCD as a weakly-coupled,
conformal field theory. Using this approach, a simple derivation of the Sudakov
form factor with soft gluon emission modeled as a Poisson process is presented.
Topics of the identification and discrimination of quark- versus
gluon-initiated jets and jet grooming are also discussed.Comment: 16 pages, 18 figures. Comments welcome!, v2: updated to include both
lectures from the 2018 CTEQ schoo
15. ゼミノームの放射線治療成績(第5回佐藤外科例会,第488回千葉医学会例会)
Performance of the MDSINE inference algorithms on simulated data with different sequencing depths. Simulations assumed an underlying dynamical systems model with ten species observed over 30Â days with 27 time points sampled and an invading species at day 10. Performance of the four MDSINE inference algorithms, maximum likelihood ridge regression (MLRR), maximum likelihood constrained ridge regression (MLCRR), Bayesian adaptive lasso (BAL), and Bayesian variable selection (BVS), were compared. Algorithm performance was assessed using four different metrics: (a) root mean-square error (RMSE) for microbial growth rates; (b) RMSE for microbial interaction parameters; (c) RMSE for prediction of microbe trajectories on held-out subjects given only initial microbe concentrations for the held-out subject; and (d) area under the receiver operator curve (AUC ROC) for the underlying microbial interaction network. Lower RMSE values indicate superior performance, whereas higher AUC ROC values indicate superior performance. (PDF 182 kb
A Rapid Hydrophilic Interaction Liquid Chromatographic Method for Simultaneous Determination of Three Ephedrine Alkaloids in Ephedra Herb and Its Preparations
<div><p>A rapid hydrophilic interaction liquid chromatographic method has been developed and validated for simultaneous quantitative analysis of methylephedrine, ephedrine, and pseudoephedrine in Ephedra Herb and its preparations. The chromatographic method was performed using a mobile phase consisted of acetonitrile-ammonium acetate (pH 5.0; 0.195 M) (95:5, v/v), running at 1.5 mL min<sup>−1</sup> on a Pinnacle II Cyano column (5 µm, 150 × 4.6 mm) at 30°C. The detector wavelength was set at 208 nm. The chromatographic method was validated for specificity, linearity and range, limit of detection and quantification, precision, stability, repeatability, and accuracy. The main parameters were specificity (peak purity match factors were >980), linearity (r > 0.9996), intra- and inter-day precisions (RSD %, 0.48 ∼ 1.70, and RSD %, 0.81 ∼ 1.86, respectively), limit of detections and quantifications (29.49 and 98.31 ng mL<sup>−1</sup> for methylephedrine; 47.74 and 159.1 ng mL<sup>−1</sup> for ephedrine; 121.8 and 406.0 ng mL<sup>−1</sup> for pseudoephedrine). The standard addition recoveries were in the range of 86.84 ∼ 102.1% and the RSDs of them were <5.23% in samples. The main mechanism was discussed from properties of analytes and optimized process. The results indicated the developed method was rapid (8 min), sensitive, and accurate for simultaneous determination of the analytes in Ephedra Herb and its three preparations.</p></div
Table_1_Development and validation of a nomogram predictive model for cerebral small vessel disease: a comprehensive retrospective analysis.pdf
BackgroundCerebral small vessel disease (CSVD) is a significant contributor to stroke, intracerebral hemorrhages, and vascular dementia, particularly in the elderly. Early diagnosis remains challenging. This study aimed to develop and validate a novel nomogram for the early diagnosis of cerebral small vessel disease (CSVD). We focused on integrating cerebrovascular risk factors and blood biochemical markers to identify individuals at high risk of CSVD, thus enabling early intervention.MethodsIn a retrospective study conducted at the neurology department of the Affiliated Hospital of Hebei University from January 2020 to June 2022, 587 patients were enrolled. The patients were randomly divided into a training set (70%, n = 412) and a validation set (30%, n = 175). The nomogram was developed using multivariable logistic regression analysis, with variables selected through the Least Absolute Shrinkage and Selection Operator (LASSO) technique. The performance of the nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC-ROC), calibration plots, and decision curve analysis (DCA).ResultsOut of 88 analyzed biomarkers, 32 showed significant differences between the CSVD and non-CSVD groups. The LASSO regression identified 12 significant indicators, with nine being independent clinical predictors of CSVD. The AUC-ROC values of the nomogram were 0.849 (95% CI: 0.821–0.894) in the training set and 0.863 (95% CI: 0.810–0.917) in the validation set, indicating excellent discriminative ability. Calibration plots demonstrated good agreement between predicted and observed probabilities in both sets. DCA showed that the nomogram had significant clinical utility.ConclusionsThe study successfully developed a nomogram predictive model for CSVD, incorporating nine clinical predictive factors. This model offers a valuable tool for early identification and risk assessment of CSVD, potentially enhancing clinical decision-making and patient outcomes.</p
Reversal of Ischemic Cardiomyopathy with Sca-1<sup>+</sup> Stem Cells Modified with Multiple Growth Factors
<div><p>Background</p><p>We hypothesized that bone marrow derived Sca-1<sup>+</sup> stem cells (BM Sca-1<sup>+</sup>) transduced with multiple therapeutic cytokines with diverse effects will induce faster angiomyogenic differentiation in the infarcted myocardium.</p><p>Methods and Results</p><p>BM Sca-1<sup>+</sup> were purified from transgenic male mice expressing GFP. Plasmids encoding for select quartet of growth factors, i.e., human IGF-1, VEGF, SDF-1α and HGF were prepared and used for genetic modification of Sca-1<sup>+</sup> cells (<sup>GF</sup>Sca-1<sup>+</sup>). Scramble transfected cells (<sup>Sc</sup>Sca-1<sup>+</sup>) were used as a control. RT-PCR and western blotting showed significantly higher expression of the growth factors in <sup>GF</sup>Sca-1<sup>+</sup>. Besides the quartet of the therapeutic growth factors, PCR based growth factor array showed upregulation of multiple angiogenic and prosurvival factors such as Ang-1, Ang-2, MMP9, Cx43, BMP2, BMP5, FGF2, and NGF in <sup>GF</sup>Sca-1<sup>+</sup> (<i>p<</i>0.01 <i>vs</i><sup>Sc</sup>Sca-1<sup>+</sup>). LDH and TUNEL assays showed enhanced survival of <sup>GF</sup>Sca-1<sup>+</sup> under lethal anoxia (<i>p<</i>0.01 <i>vs</i><sup> Sc</sup>Sca-1<sup>+</sup>). MTS assay showed significant increased cell proliferation in <sup>GF</sup>Sca-1<sup>+</sup> (<i>p<</i>0.05 <i>vs</i><sup>Sc</sup>Sca-1<sup>+</sup>). For in vivo study, female mice were grouped to receive the intramyocardial injection of 15 μl DMEM without cells (group-1) or containing 2.5×10<sup>5</sup><sup>Sc</sup>Sca-1<sup>+</sup> (group-2) or <sup>GF</sup>Sca-1<sup>+</sup> (group-3) immediately after coronary artery ligation. As indicated by <i>Sry</i> gene, a higher survival of <sup>GF</sup>Sca-1<sup>+</sup> in group-3 on day4 (2.3 fold higher <i>vs</i> group-2) was observed with massive mobilization of stem and progenitor cells (cKit<sup>+</sup>, Mdr1<sup>+</sup>, Cxcr4<sup>+</sup> cells). Heart tissue sections immunostained for actinin and Cx43 at 4 weeks post engraftment showed extensive myofiber formation and expression of gap junctions. Immunostaining for vWF showed increased blood vessel density in both peri-infarct and infarct regions in group-3. Infarct size was attenuated and the global heart function was improved in group-3 as compared to group-2.</p><p>Conclusions</p><p>Administration of BM Sca-1<sup>+</sup> transduced with multiple genes is a novel approach to treat infarcted heart for its regeneration.</p></div
Diagnostics of reinforced concrete structures
This diploma thesis deals with the building survey and diagnosis of the station building of a railway station in Vítkovice. It describes process of survey and evaluation of existing reinforced concrete structures and used diagnostic methods. The survey of the object is described in the practical part of the thesis, which involves location of testing spots, taking the samples for testing from the structure, laboratory testing and evaluation of the results – determination of compressive strength of concrete with classification of concrete and elastic modulus. The last part includes static calculation of selected part of the structure
PIPI: PTM-Invariant Peptide Identification Using Coding Method
In computational
proteomics, the identification of peptides with
an unlimited number of post-translational modification (PTM) types
is a challenging task. The computational cost associated with database
search increases exponentially with respect to the number of modified
amino acids and linearly with respect to the number of potential PTM
types at each amino acid. The problem becomes intractable very quickly
if we want to enumerate all possible PTM patterns. To address this
issue, one group of methods named restricted tools (including Mascot,
Comet, and MS-GF+) only allow a small number of PTM types in database
search process. Alternatively, the other group of methods named unrestricted
tools (including MS-Alignment, ProteinProspector, and MODa) avoids
enumerating PTM patterns with an alignment-based approach to localizing
and characterizing modified amino acids. However, because of the large
search space and PTM localization issue, the sensitivity of these
unrestricted tools is low. This paper proposes a novel method named
PIPI to achieve PTM-invariant peptide identification. PIPI belongs
to the category of unrestricted tools. It first codes peptide sequences
into Boolean vectors and codes experimental spectra into real-valued
vectors. For each coded spectrum, it then searches the coded sequence
database to find the top scored peptide sequences as candidates. After
that, PIPI uses dynamic programming to localize and characterize modified
amino acids in each candidate. We used simulation experiments and
real data experiments to evaluate the performance in comparison with
restricted tools (i.e., Mascot, Comet, and MS-GF+) and unrestricted
tools (i.e., Mascot with error tolerant search, MS-Alignment, ProteinProspector,
and MODa). Comparison with restricted tools shows that PIPI has a
close sensitivity and running speed. Comparison with unrestricted
tools shows that PIPI has the highest sensitivity except for Mascot
with error tolerant search and ProteinProspector. These two tools
simplify the task by only considering up to one modified amino acid
in each peptide, which results in a higher sensitivity but has difficulty
in dealing with multiple modified amino acids. The simulation experiments
also show that PIPI has the lowest false discovery proportion, the
highest PTM characterization accuracy, and the shortest running time
among the unrestricted tools
- …