Effective Heterogeneous Data Fusion procedure via Kalman filtering

Gabriele Ravizza,Rosalba Ferrari,Egidio Rizzi,Eleni N. Chatzi 국제구조공학회 2018 Smart Structures and Systems, An International Jou Vol.22 No.5

This paper outlines a computational procedure for the effective merging of diverse sensor measurements, displacement and acceleration signals in particular, in order to successfully monitor and simulate the current health condition of civil structures under dynamic loadings. In particular, it investigates a Kalman Filter implementation for the Heterogeneous Data Fusion of displacement and acceleration response signals of a structural system toward dynamic identification purposes. The procedure is perspectively aimed at enhancing extensive remote displacement measurements (commonly affected by high noise), by possibly integrating them with a few standard acceleration measurements (considered instead as noise-free or corrupted by slight noise only). Within the data fusion analysis, a Kalman Filter algorithm is implemented and its effectiveness in improving noise-corrupted displacement measurements is investigated. The performance of the filter is assessed based on the RMS error between the original (noise-free, numerically-determined) displacement signal and the Kalman Filter displacement estimate, and on the structural modal parameters (natural frequencies) that can be extracted from displacement signals, refined through the combined use of displacement and acceleration recordings, through inverse analysis algorithms for output-only modal dynamics identification, based on displacements.

Antifungical Activity of Autochthonous Bacillus subtilis Isolated from Prosopis juliflora against Phytopathogenic Fungi

( Ali Abdelmoteleb ),( Rosalba Troncoso-rojas ),( Tania Gonzalez-soto ),( Daniel Gonzalez-mendoza ) 한국균학회 2017 Mycobiology Vol.45 No.4

The ability of Bacillus subtilis, strain ALICA to produce three mycolytic enzymes (chitinase, β-1,3-glucanase, and protease), was carried out by the chemical standard methods. Bacillus subtilis ALICA was screened based on their antifungal activity in dual plate assay and cell-free culture filtrate (25%) against five different phytopathogenic fungi Alternaria alternata, Macrophomina sp., Colletotrichum gloeosporioides, Botrytis cinerea, and Sclerotium rolfesii. The B. subtilis ALICA detected positive for chitinase, β-1,3-glucanase and protease enzymes. Fungal growth inhibition by both strain ALICA and its cell-free culture filtrate ranged from 51.36% to 86.3% and 38.43% to 68.6%, respectively. Moreover, hyphal morphological changes like damage, broken, swelling, distortions abnormal morphology were observed. Genes expression of protease, β-1,3-glucanase, and lipopeptides (subtilosin and subtilisin) were confirmed their presence in the supernatant of strain ALICA. Our findings indicated that strain ALICA provided a broad spectrum of antifungal activities against various phytopathogenic fungi and may be a potential effective alternative to chemical fungicides.

Effective Heterogeneous Data Fusion procedure via Kalman filtering

Ravizza, Gabriele,Ferrari, Rosalba,Rizzi, Egidio,Chatzi, Eleni N. Techno-Press 2018 Smart Structures and Systems, An International Jou Vol.22 No.5

This paper outlines a computational procedure for the effective merging of diverse sensor measurements, displacement and acceleration signals in particular, in order to successfully monitor and simulate the current health condition of civil structures under dynamic loadings. In particular, it investigates a Kalman Filter implementation for the Heterogeneous Data Fusion of displacement and acceleration response signals of a structural system toward dynamic identification purposes. The procedure is perspectively aimed at enhancing extensive remote displacement measurements (commonly affected by high noise), by possibly integrating them with a few standard acceleration measurements (considered instead as noise-free or corrupted by slight noise only). Within the data fusion analysis, a Kalman Filter algorithm is implemented and its effectiveness in improving noise-corrupted displacement measurements is investigated. The performance of the filter is assessed based on the RMS error between the original (noise-free, numerically-determined) displacement signal and the Kalman Filter displacement estimate, and on the structural modal parameters (natural frequencies) that can be extracted from displacement signals, refined through the combined use of displacement and acceleration recordings, through inverse analysis algorithms for output-only modal dynamics identification, based on displacements.

Inhibition of cancer cell growth and migration by dihydroxynaphthyl aryl ketones

Julio Benites,Jaime A. Valderrama,David Ríos,Rosalba Lagos,Octavio Monasterio,Pedro Buc Calderon,Pedro Buc Calderon 대한독성 유전단백체 학회 2016 Molecular & cellular toxicology Vol.12 No.3

Dihydroxynaphthyl aryl ketones 1-5 exhibit activity as tubulin polymerization inhibitors by targeting the colchicine binding site of microtubules making them potential anticancer drugs. Therefore, analogues 1-5 have been evaluated for their cytotoxic activity against the cancer cell lines DU-145 (prostate), T24 (bladder) and MCF-7 (breast). Notable differences in biological activity were observed for compounds 1-5, most likely related to the nature of the aryl substituent bonded to the carbonyl group. Among the tested compounds, only compound 5 showed selectivity for cancer cells over healthy, non-transformed cells. T24 cancer cells treated with compound 5 presented a concentration-dependent decrease in cell proliferation and a loss of migration ability. The cytotoxicity of compounds 1-5 on the selected cell-based assays is discussed in terms of it lipophilicity and polarizability parameters.

Aberrant Expression of Cancer Stem Cells Marker Prominin-1 in Low-Grade Tubulobular Breast Carcinoma: A Correlative Study between qRT-PCR, Flow-Cytometric and Immunohistochemistry Analysis

Maurizio Di Bonito,Francesca Collina,Monica Cantile,Rosalba Camerlingo,Margherita Cerrone,Laura Marra,Giuseppina Liguori,Giuseppe Pirozzi,Gerardo Botti 한국유방암학회 2012 Journal of breast cancer Vol.15 No.1

Purpose: Prominin1/CD133 has become the ideal marker for cancer stem cells (CSCs) detection in human tumors. In this study we examined the expression of this marker in several breast cancer specimens to associate CSCs percentage with risk factor for this neoplasia. Methods: We examined specimens from 12 patients using CD133 and CD44 antibodies for CSCs immunohistochemistry detection and for flow cytometry analysis. For each patient, we also performed the immunohistochemical staining to evaluate the expression of estrogen receptor, progesterone receptor, c-erbB-2, Ki67, and E-cadherin markers. A Taqman probe for CD133 was used for mRNA quantification by realtime polymerase chain reaction. Results: Prominin-1 expression was heterogeneous in different carcinomas but was strikingly hyperexpressed in a tubulolobular variant of breast cancer. The results were confirmed by all three methods. Conclusion: Our data, although produced on a limited number of samples, showed an particularly high expression of stem cell marker CD133 in a breast cancer variant, generally with a good prognosis. Since CSCs detection by CD133 has been described as an important prognostic factor for several human cancers, we suggest the importance of detecting stem cell compartiments in all histotypes of breast carcinomas.

Aberrant Expression of Cancer Stem Cells Marker Prominin-1 in Low-Grade Tubulobular Breast Carcinoma: A Correlative Study between qRT-PCR, Flow-Cytometric and Immunohistochemistry Analysis

Maurizio Di Bonito,Francesca Collina,Rosalba Camerlingo,Margherita Cerrone,Laura Marra,Giuseppina Liguori,Giuseppe Pirozzi,Gerardo Botti,Monica Cantile 한국유방암학회 2013 Journal of breast cancer Vol.16 No.1

Purpose Prominin1/CD133 has become the ideal marker for cancer stem cells (CSCs) detection in human tumors. In this study we examined the expression of this marker in several breast cancer specimens to associate CSCs percentage with risk factor for this neoplasia. Methods We examined specimens from 12 patients using CD133 and CD44 antibodies for CSCs immunohistochemistry detection and for flow cytometry analysis. For each patient, we also performed the immunohistochemical staining to evaluate the expression of estrogen receptor, progesterone receptor, c-erbB-2, Ki67, and E-cadherin markers. A Taqman probe for CD133 was used for mRNA quantification by real-time polymerase chain reaction. Results Prominin-1 expression was heterogeneous in different carcinomas but was strikingly hyperexpressed in a tubulolobular variant of breast cancer. The results were confirmed by all three methods. Conclusion Our data, although produced on a limited number of samples, showed an particularly high expression of stem cell marker CD133 in a breast cancer variant, generally with a good prognosis. Since CSCs detection by CD133 has been described as an important prognostic factor for several human cancers, we suggest the importance of detecting stem cell compartiments in all histotypes of breast carcinomas.

Severity of Nonalcoholic Fatty Liver Disease in Type 2 Diabetes Mellitus: Relationship between Nongenetic Factors and PNPLA3/HSD17B13 Polymorphisms

Mattia Bellan,Cosimo Colletta,Matteo Nazzareno Barbaglia,Livia Salmi,Roberto Clerici,Venkata Ramana Mallela,Luigi Mario Castello,Giuseppe Saglietti,Gian Piero Carnevale Schianca,Rosalba Minisini,Mario 대한당뇨병학회 2019 Diabetes and Metabolism Journal Vol.43 No.5

Background: The prevalence of nonalcoholic fatty liver disease (NAFLD) in patients with type 2 diabetes mellitus (T2DM) ishigh, though its severity is often underestimated. Our aim is to provide an estimate of the prevalence of severe NAFLD in T2DMand identify its major predictors. Methods: T2DM patients (n=328) not previously known to have NAFLD underwent clinical assessment, transient elastographywith measure of liver stiffness (LS) and controlled attenuation parameter (CAP), and genotyping for patatin like phospholipasedomain containing 3 (PNPLA3) and 17β-hydroxysteroid-dehydrogenase type 13 (HSD17B13). Results: Median LS was 6.1 kPa (4.9 to 8.6). More than one-fourth patients had advanced liver disease, defined as LS ≥7.9 kPa(n=94/238, 29%), and had a higher body mass index (BMI) than those with a LS <7.9 kPa. Carriage of the G allele in the PNPLA3gene was associated with higher LS, being 5.9 kPa (4.7 to 7.7) in C/C homozygotes, 6.1 kPa (5.2 to 8.7) in C/G heterozygotes, and6.8 kPa (5.8 to 9.2) in G/G homozygotes (P=0.01). This trend was absent in patients with ≥1 mutated HSD17B13 allele. In a multiplelinear regression model, BMI and PNPLA3 genotype predicted LS, while age, gender, disease duration, and glycosylated hemoglobindid not fit into the model. None of these variables was confirmed to be predictive among carriers of at least one HSD17B13mutated allele. There was no association between CAP and polymorphisms of PNPLA3 or HSD17B13. Conclusion: Advanced NAFLD is common among T2DM patients. LS is predicted by both BMI and PNPLA3 polymorphism,the effect of the latter being modulated by mutated HSD17B13.