196,113 research outputs found
PatSearch: a pattern matcher software that finds functional elements in nucleotide and protein sequences and assesses their statistical significance
A surface acoustic wave (SAW)-enhanced grating-coupling phase-interrogation surface plasmon resonance (SPR) microfluidic biosensor
A surface acoustic wave (SAW)-enhanced, surface plasmon resonance (SPR) microfluidic biosensor in which SAW-induced mixing and phase-interrogation grating-coupling SPR are combined in a single lithium niobate lab-on-a-chip is demonstrated. Thiol-polyethylene glycol adsorption and avidin/biotin binding kinetics were monitored by exploiting the high sensitivity of grating-coupling SPR under azimuthal control. A time saturation binding kinetics reduction of 82% and 24% for polyethylene and avidin adsorption was obtained, respectively, due to the fluid mixing enhancement by means of the SAW-generated chaotic advection. These results represent the first implementation of a nanostructured SAW-SPR microfluidic biochip capable of significantly improving the molecule binding kinetics on a single, portable device. In addition, the biochip here proposed is suitable for a great variety of biosensing applications
A reduced multiple Gabor frame for local time adaptation of the spectrogram
In this paper we propose a method for automatic local time adaptation of the spectrogram of an audio signal, based on its decomposition within a Gabor multi-frame. The sparsity of the analyses within each individual frame is evaluated through the Rényi entropies measures. According to the sparsity of the decompositions, an optimal resolution and a reduced multi-frame are determined, defining an adapted spectrogram with variable resolution and hop-size.
The composition of such a reduced multi-frame allows an immediate definition of a dual frame: re-synthesis techniques for this adapted analysis are easily derived by the traditional phase vocoder scheme
Rényi information measures for spectral change detection
Change detection within an audio stream is an important task in several domains, such as classification and segmentation of a sound or of a music piece, as well as indexing of broadcast news or surveillance applications. In this paper we propose two novel methods for spectral change detection without any assumption about the input sound: they are both based on the evaluation of information measures applied to a time-frequency representation of the signal, and in particular to the spectrogram. The class of measures we consider, the Rényi entropies, are obtained by extending the Shannon entropy definition: a biasing of the spectrogram coefficients is realized through the dependence of such measures on a parameter, which allows refined results compared to those obtained with standard divergences. These methods provide a low computational cost and are well-suited as a support for higher level analysis, segmentation and classification algorithms
A new strategy to identify novel genes and gene isoforms: Analysis of human chromosomes 15, 21 and 22
A new antiresorptive approach to the treatment of fragility fractures: Long-term efficacy and safety of denosumab
An imbalance of the remodeling process for bone resorption leads to a loss of tissue with consequent microarchitectural damage, evident in conditions such as osteoporosis and related fragility fractures. Currently, pharmacological therapies are able to prevent or slow down bone resorption by inhibiting osteoclast activity. An innovative and targeted anti-resorptive approach is represented by the inhibition of RANK ligand (RANK-L), essential for the proliferation and activity of osteoclastic cells. The human monoclonal antibody against RANK-L (denosumab) has been approved for the treatment of osteoporosis. In clinical trials of patients with osteoporosis, inhibition of RANK-L has reduced bone loss and damage to the microarchitecture and was associated with an increase in mass and resistance at different skeletal sites, with most significant effects than those demonstrated by any other antiresorptive drugs. In addition, after 3 years of treatment, it showed a reduction in vertebral and non-vertebral fracture risk. Denosumab treatment also has not revealed any alteration in the physiological processes of fracture repair, showing no increase in the onset of complications 3 years after the fracture. The data show that denosumab offers an effective alternative therapeutic approach for the treatment of severe osteoporosis, with positive effects on BMD and reduction of fragility fractures risk. So, promising results in terms of therapeutic efficacy and reliability make desirable the wide clinical use of denosumab for the treatment of osteoporotic fractures in the near future. © 2013 Springer International Publishing Switzerland.An imbalance of the remodeling process for bone resorption leads to a loss of tissue with consequent microarchitectural damage, evident in conditions such as osteoporosis and related fragility fractures. Currently, pharmacological therapies are able to prevent or slow down bone resorption by inhibiting osteoclast activity. An innovative and targeted anti-resorptive approach is represented by the inhibition of RANK ligand (RANK-L), essential for the proliferation and activity of osteoclastic cells. The human monoclonal antibody against RANK-L (denosumab) has been approved for the treatment of osteoporosis. In clinical trials of patients with osteoporosis, inhibition of RANK-L has reduced bone loss and damage to the microarchitecture and was associated with an increase in mass and resistance at different skeletal sites, with most significant effects than those demonstrated by any other antiresorptive drugs. In addition, after 3 years of treatment, it showed a reduction in vertebral and non-vertebral fracture risk. Denosumab treatment also has not revealed any alteration in the physiological processes of fracture repair, showing no increase in the onset of complications 3 years after the fracture. The data show that denosumab offers an effective alternative therapeutic approach for the treatment of severe osteoporosis, with positive effects on BMD and reduction of fragility fractures risk. So, promising results in terms of therapeutic efficacy and reliability make desirable the wide clinical use of denosumab for the treatment of osteoporotic fractures in the near future. © 2013 Springer International Publishing Switzerland
An Entropy Based Method for Local Time-Adaptation of the Spectrogram
We propose a method for automatic local time-adaptation of the spectrogram of audio signals: it is based on the decomposition of a signal within a Gabor multi-frame through the STFT operator. The sparsity of the analysis in every individual frame of the multi-frame is evaluated through the Rényi entropy measures: the best local resolution is determined minimizing the entropy values. The overall spectrogram of the signal we obtain thus provides local optimal resolution adaptively evolving over time. We give examples of the performance of our algorithm with an instrumental sound and a synthetic one, showing the improvement in spectrogram displaying obtained with an automatic adaptation of the resolution. The analysis operator is invertible, thus leading to a perfect reconstruction of the original signal through the analysis coefficients
Investigating the role of microRNA and transcription factor co-regulatory networks in multiple sclerosis pathogenesis
MicroRNAs (miRNAs) and transcription factors (TFs) play key roles in complex multifactorial diseases like multiple sclerosis (MS). Starting from the miRNomic profile previously associated with a cohort of pediatric MS (PedMS) patients, we applied a combined molecular and computational approach in order to verify published data in patients with adult-onset MS (AOMS). Six out of the 13 selected miRNAs (miR-320a, miR-125a-5p, miR-652-3p, miR-185-5p, miR-942-5p, miR-25-3p) were significantly upregulated in PedMS and AOMS patients, suggesting that they may be considered circulating biomarkers distinctive of the disease independently from age. A computational and unbiased miRNA-based screening of target genes not necessarily associated to MS was then performed in order to provide an extensive view of the genetic mechanisms underlying the disease. A comprehensive MS-specific miRNA-TF co-regulatory network was hypothesized; among others, SP1, RELA, NF-B, TP53, AR, MYC, HDAC1, and STAT3 regulated the transcription of 61 targets. Interestingly, NF-B and STAT3 cooperatively regulate the expression of immune response genes and control the cross-talk between inflammatory and immune cells. Further functional analysis will be performed on the identified critical hubs. Above all, in our view, this approach supports the need of multidisciplinary strategies for shedding light into the pathogenesis of MS
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