A multiscale approach for the nonlinear mechanical response of 3-phases fiber reinforced graphene nanoplatelets polymer composite materials

This work presents an analytical approach for solving the nonlinear mechanical response of hybrid glass fibers reinforced graphene polymer composite materials. Two-scale homogenization technique derives the effective properties of the composite. At the first scale, the properties of a 2-phases graphene/polymer composite are obtained by accounting for the J2 plasticity coupled with the “Lemaitre–Chaboche” ductile damage model. An interfacial imperfection between the fillers and the matrix is considered through the linear spring model (LSM). At the second scale, the modeling of the 3-phases glass fibers/graphene/polymer composite combines the 2-phases composite as a matrix phase in which are embedded the glass fibers. For both scales, a modified Mori–Tanaka scheme derives the effective properties. Numerical results, obtained for a thermoplastic PA6 matrix, are compared with the multistep method of Digimat software. Finally, a tension–torsion test shows that the imperfection at the fibers/polymer interface is the driven parameter to weaken mechanical responses in the shear direction

Pancreatic cancer-associated diabetes mellitus: an open field for proteomic applications.

Background: Diabetes mellitus is associated with pancreatic cancer in more than 80% of the cases. Clinical, epidemiological, and experimental data indicate that pancreatic cancer causes diabetes mellitus by releasing soluble mediators which interfere with both beta-cell function and liver and muscle glucose metabolism. Methods: We analysed, by matrix-assisted laser desorption ionization time of flight (MALDI-TOF), a series of pancreatic cancer cell lines conditioned media, pancreatic cancer patients' peripheral and portal sera, comparing them with controls and chronic pancreatitis patients' sera. Results: MALDI-TOF analysis of pancreatic cancer cells conditioned media and patients' sera indicated a low molecular weight peptide to be the putative pancreatic cancer-associated diabetogenic factor. The sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) analysis of tumor samples from diabetic and non-diabetic patients revealed the presence of a 1500 Da peptide only in diabetic patients. The amino acid sequence of this peptide corresponded to the N-terminal of an S-100 calcium binding protein, which was therefore suggested to be the pancreatic cancer-associated diabetogenic factor. Conclusions: We identified a tumor-derived peptide of 14 amino acids sharing a 100% homology with an S-100 calcium binding protein, which is probably the pancreatic cancer-associated diabetogenic facto

Pancreatic cancer-derived S-100A8 N-terminal peptide: a diabetes cause?

BACKGROUND: Our aim was to identify the pancreatic cancer diabetogenic peptide. METHODS: Pancreatic tumor samples from patients with (n=15) or without (n=7) diabetes were compared with 6 non-neoplastic pancreas samples using SDS-PAGE. RESULTS: A band measuring approximately 1500 Da was detected in tumors from diabetics, but not in neoplastic samples from non-diabetics or samples from non-neoplastic subjects. Sequence analysis revealed a 14 amino acid peptide (1589.88 Da), corresponding to the N-terminal of the S100A8. At 50 nmol/L and 2 mmol/L, this peptide significantly reduced glucose consumption and lactate production by cultured C(2)C(12) myoblasts. The 14 amino acid peptide caused a lack of myotubular differentiation, the presence of polynucleated cells and caspase-3 activation. CONCLUSIONS: The 14 amino acid peptide from S100A8 impairs the catabolism of glucose by myoblasts in vitro and may cause hyperglycemia in vivo. Its identification in biological fluids might be helpful in diagnosing pancreatic cancer in patients with recent onset diabetes mellitus

Occurrence of Porphyromonas gingivalis, Bacteroides forsythus, and Treponema denticola in Periodontally Healthy and Diseased Subjects as Determined by an ELISA Technique

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142036/1/jper0018.pd

Is Eriophyes mali Nalepa present in Italy?

In the last few years, blistering symptoms were observed on apple plants in commercial orchards. Blisters are commonly found on apple leaves as well as on small fruits. This symptom is compatible with that described for apple blister mites belonging to the genus Eriophyes (Eriophyidae). To assess the identity of the etiological agent, leaf blisters and buds of symptomatic apple and, as a control, pear plants were examined under the dissection microscope and eriophyoid mites were collected. Specimens were examined using both molecular and morphological approaches. The analysis of sequences confirmed that eriophyoid mites collected from symptomatic apple and pear plants are genetically different. Our analyses highlight a complex scenario inside the genus Eriophyes that is worth to be studied in more detai

Genome-scaled phylogeny of Saccharomyces cerevisiae from spontaneous must fermentations

Modern winemakers commonly inoculate selected S. cerevisiae strains in must to obtain controlled fermentations and reproducible products. However, wine has been produced for thousands of years using spontaneous fermentations from wild strains, a practice that is experiencing a revival among small wine producers. Despite the widespread usage of such strains in the past, there is much to know about their ecology, evolution and functional potential. For example, the reciprocal affinities of these strains within the S. cerevisiae phylogeny have yet to be discovered, as well as the degree of their biodiversity and their impact on wine terroir. To fill this knowledge gap, we aim at characterising at strain level the S. cerevisiae present in spontaneously fermented musts sampled across Italy. We set up a protocol based on polyphenols-removing prewashes, followed by whole-genome shotgun sequencing at a depth of 5Gb of DNA per sample. We performed both an assembly-free analysis to reconstruct the strain-level phylogeny of S. cerevisiae strains using the species-specific-marker based StrainPhlAn, and the reconstruction of Metagenome-Assembled Genomes of these strains for downstream functional analyses. To plan conservation acts in a scenario of continuous climate change, we aim at isolating and maintaining strains of interest. We will present preliminary results from the analysis of spontaneous musts sampled at different fermenting stages

Innovation and development after the earthquake in Emilia

The 2012 earthquake in Emilia-Romagna (Italy) has shaken up the collective understanding on the socioeconomic importance of a vast territory that generates almost 2% of Italian GDP. The area affected by the earthquake is characterized by the presence of important industrial and agricultural districts, and by good practices of local governance that are internationally renowned. Private and public buildings, factories, offices and retail shops, historical and cultural heritage sites have been severely damaged. Not only, but it set in motion transformations in the socio-economic system that might have unexpected consequences and that undermine the quick recovery of the local system: different agents, at different levels, taking individual and collective decisions, generate a cascade of changes that interact with its evolution path. Indeed, earthquakes pose challenges, but provide unprecedented opportunities: strategic decisions by economic and political agents, newly available financial resources, coordination or lack of coordination among main stakeholders, and so on. The following paper provides an overview of the first results of Energie Sisma Emilia research project: it aims at collecting and disseminating relevant knowledge and evidence in order to design policies. In particular, it identifies the agents propelling innovation processes, and analyses their strategies in ever-changing environment. The paper starts with a socio-economic analysis of the area struck by the earthquake, followed by the results of three of the focus groups conducted. Eventually, it illustrates a specific innovation: the introduction and implementation of the digital infrastructure “Mude”

Modelling the impact of social protection on tuberculosis: the S-PROTECT project.

BACKGROUND: Tackling the social determinants of Tuberculosis (TB) through social protection is a key element of the post-2015 End TB Strategy. However, evidence informing policies are still scarce. Mathematical modelling has the potential to contribute to fill this knowledge gap, but existing models are inadequate. The S-PROTECT consortium aimed to develop an innovative mathematical modelling approach to better understand the role of social protection to improve TB care, prevention and control. METHODS: S-PROTECT used a three-steps approach: 1) the development of a conceptual framework; 2) the extraction from this framework of three high-priority mechanistic pathways amenable for modelling; 3) the development of a revised version of a standard TB transmission model able to capture the structure of these pathways. As a test case we used the Bolsa Familia Programme (BFP), the Brazilian conditional cash transfer scheme. RESULTS: Assessing one of these pathways, we estimated that BFP can reduce TB prevalence by 4% by improving households income and thus their nutritional status. When looking at the direct impact via malnutrition (not income mediated) the impact was 33%. This variation was due to limited data availability, uncertainties on data transformation and the pathway approach taken. These results are preliminary and only aim to serve as illustrative example of the methodological challenges encountered in this first modelling attempt, nonetheless they suggest the potential added value of integrating TB standard of care with social protection strategies. CONCLUSIONS: Results are to be confirmed with further analysis. However, by developing a generalizable modelling framework, S-PROTECT proved that the modelling of social protection is complex, but doable and allowed to draw the research road map for the future in this field