Junction leakage current degradation under high temperature reverse-bias stress induced by band-defect-band tunnelling in power VDMOS

A deep analysis of the intrinsic junction and surface currents in power vertically diffused MOS devices with sub-micrometer channel length and thin gate oxide has been carried on after a typical reliability high temperature reverse bias (HTRB) stress. A reference set of gated diodes has also been examined in order to better understand the onset and evolution of post-stress leakage degradation. A comparison among complete MOSs, single body diodes and enriched diodes allows to highlight the role played by the point defectivity both at gate interface and in the bulk silicon close to the junction surface. We found that the typical interface defects involved in the leakage degradation are shallow traps and can be de-populated simply by a thermally activated mechanism. More specifically, the main degradation mechanism relies to band-defect-band tunneling localized at the surface drain/body junction where an intrinsic n-i-p region evolves due to a bird’s beak lateral profile of the body diffusion. We have demonstrated that the most important contribution to the activation of the precursor defect sites is given by the transverse electrical field that develops just below the SiO₂/Si interface within the n-i-p region during the stress.     

Non‐Covalent Functionalization of Graphene Using Self‐Assembly of Alkane‐Amines

A simple, versatile method for non‐covalent functionalization of graphene based on solution‐phase assembly of alkane‐amine layers is presented. Second‐order Møller–Plesset (MP2) perturbation theory on a cluster model (methylamine on pyrene) yields a binding energy of ≈220 meV for the amine–graphene interaction, which is strong enough to enable formation of a stable aminodecane layer at room temperature. Atomistic molecular dynamics simulations on an assembly of 1‐aminodecane molecules indicate that a self‐assembled monolayer can form, with the alkane chains oriented perpendicular to the graphene basal plane. The calculated monolayer height (≈1.7 nm) is in good agreement with atomic force microscopy data acquired for graphene functionalized with 1‐aminodecane, which yield a continuous layer with mean thickness ≈1.7 nm, albeit with some island defects. Raman data also confirm that self‐assembly of alkane‐amines is a non‐covalent process, i.e., it does not perturb the sp² hybridization of the graphene. Passivation and adsorbate n‐doping of graphene field‐effect devices using 1‐aminodecane, as well as high‐density binding of plasmonic metal nanoparticles and seeded atomic layer deposition of inorganic dielectrics using 1,10‐diaminodecane are also reported.     

Interregional and interannual variability of ethanol site-specific deuterium content in Italian wines

The site-specific natural isotope fractionationnuclear magnetic resonance (SNIF-NMR)²H analysis is at present the reference method for determining the origin of ethanol and has been successfully applied for analysing all grape products. The method has also been used to identify the origin of wines and the aim of this study was to verify this application. In all, 3309 samples belonging to the Italian wines data bank were analysed from all 20 Italian regions to study the possibilities of determining and controlling the exact origin and year of the product. The dependency of the deuterium/hydrogen ratio of the methyl site (D/H_I) with latitude was confirmed but this was not the case for the D/H ratio of the methylene site (D/H_II) and the parameter R [2(D/H_II)/(D/H_I)] did not add any additional information. The frequency distribution of the NMR parameters follows a regular North-South gradient but they are not sufficiently different in each region to allow unique characterisation. The lack of effectiveness of the method, when applied to identification, depends on interannual and interregional variability. As a consequence, all but some very different regions overlap. The SNIF-NMR method is particularly suitable for detecting simple adulterations but, in the Italian situation, seems not to be so useful for solving problems of geographical origin. For this, it could be helpful to use other isotopic parameters and to ameliorate the sampling technique, to improve the effectiveness of the method.

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Regionale und jährliche Variabilität des Ethanolgebundenen Deuteriumgehaltes italienischer Weine

Zusammenfassung Die SNIF-NMR²H-Analytik wird derzeit als Referenzmethode zur Bestimmung der Herkunft des Ethanols bei Produkten aus Weintrauben erfolgreich angewandt. Die Methode wird auch zur Ermittlung der geographischen Herkunft von Wein eingesetzt. Ziel der vorliegenden Arbeit war es, die Brauchbarkeit dieser Analysenmethode zur Bestimmung des geographischen Ursprungs italienischer Weine zu überprüfen. Dazu wurden Analysenergebnisse von 3309 Weinen aus allen 20 Weinbaugebieten Italiens im Rahmen einer Datenbank des D/H-Verhältnisses gesammelt. Während für die D/H_I-Werte eine deutliche Abhängigkeit von der geographischen Breite bestätigt werden konnte, zeigten die D/H_II-Werte keinen derartigen Zusammenhang. Auch der Parameter R erbrachte keine weiteren Informationen. Die Häufigkeits-Verteilung der NMR-Werte folgt deutlich einem Nord-Süd-Gradienten, aber sie sind nicht in jeder Region so unterschiedlich, daß eine signifikante Differenzierung möglich ist. Dies resultiert aus den jahrgangs- und gebietsabhängigen Schwankungen. Die SNIF-NMR Methode ist zur Aufklärung bestimmter Verfälschungen (Zuckerzusatz) gut geeignet, bei italienischen Weinen ist jedoch mit dieser Methode das Problem der Bestimmung der geographischen Herkunft nicht lösbar. Durch Messung weiterer stabiler Isotopen sowie durch eine Verbesserung der Probennahme kann eine Erhöhung der Effizienz zum Nachweis der geographischen Herkunft erzielt werden.

     

Fly ash addition in clayey materials to improve the quality of solid bricks

The technical quality of two compositionally different groups of solid bricks fired between 800 and 1000 °C was evaluated. Five weight percentage of fly ash was added to both groups and they were compared with similar bricks with no added fly ash.The textures of the bricks with fly ash were very similar to the textures of those without it, except that the samples with the additive contained spherical fly ash particles with diameters ranging from 0.1 to 10 μm. These particles led to a reduction in the density of the bricks and a substantial improvement in their durability, with less decay being caused by salt crystallization in the pores. This is because fly ash causes a reduction in the number of micropores, the pores that make porous materials most vulnerable to salt-induced decay. Use of this additive could have practical implications as a means of recycling and for achieving cost savings in brick production.     

A global approach to the design of discrete-time cellular neural networks for associative memories

In this paper a global design method for associative memories using discrete-time cellular neural networks (DTCNNs) is presented. The proposed synthesis technique enables to realize associative memories with several advantageous features. First of all, grey-level as well as bipolar images can be stored. Moreover, the proposed approach generates networks with learning and forgetting capabilities. Finally, it is possible to design networks with any kind of predetermined interconnection structure. In particular, neighbourhoods without line crossings can be chosen, greatly simplifying the VLSI implementation of the designed DTCNNs. In the first part of this work a model of a multilevel threshold network is presented and a stability analysis is carried out using basic notions deriving from non-linear dynamical system theory. The synthesis procedure is then developed by means of a pseudoinversion technique, assuring learning and forgetting capabilities of the designed DTCNN. The use of a neighbourhood without line crossings is also discussed. Simulation results are reported to show the capability of the proposed approach.     

miRNA Expression Profiling in Subcutaneous Adipose Tissue of Monozygotic Twins Discordant for HIV Infection: Validation of Differentially Expressed miRNA and Bioinformatic Analysis

Combined AntiRetroviral Treatments (cARTs) used for HIV infection may result in varied metabolic complications, which in some cases, may be related to patient genetic factors, particularly microRNAs. The use of monozygotic twins, differing only for HIV infection, presents a unique and powerful model for the controlled analysis of potential alterations of miRNAs regulation consequent to cART treatment. Profiling of 2578 mature miRNA in the subcutaneous (SC) adipose tissue and plasma of monozygotic twins was investigated by the GeneChip^® miRNA 4.1 array. Real-time PCR and ddPCR experiments were performed in order to validate differentially expressed miRNAs. Target genes of deregulated miRNAs were predicted by the miRDB database (prediction score > 70) and enrichment analysis was carried out with g:Profiler. Processes in SC adipose tissue most greatly affected by miRNA up-regulation included (i) macromolecular metabolic processes, (ii) regulation of neurogenesis, and (iii) protein phosphorylation. Furthermore, KEGG analysis revealed miRNA up-regulation involvement in (i) insulin signaling pathways, (ii) neurotrophin signaling pathways, and (iii) pancreatic cancer. By contrast, miRNA up-regulation in plasma was involved in (i) melanoma, (ii) p53 signaling pathways, and (iii) focal adhesion. Our findings suggest a mechanism that may increase the predisposition of HIV⁺ patients to insulin resistance and cancer.     

Novel Insights into Autophagy and Prostate Cancer: A Comprehensive Review

Autophagy is a complex process involved in several cell activities, including tissue growth, differentiation, metabolic modulation, and cancer development. In prostate cancer, autophagy has a pivotal role in the regulation of apoptosis and disease progression. Several molecular pathways are involved, including PI3K/AKT/mTOR. However, depending on the cellular context, autophagy may play either a detrimental or a protective role in prostate cancer. For this purpose, current evidence has investigated how autophagy interacts within these complex interactions. In this article, we discuss novel findings about autophagic machinery in order to better understand the therapeutic response and the chemotherapy resistance of prostate cancer. Autophagic-modulation drugs have been employed in clinical trials to regulate autophagy, aiming to improve the response to chemotherapy or to anti-cancer treatments. Furthermore, the genetic signature of autophagy has been found to have a potential means to stratify prostate cancer aggressiveness. Unfortunately, stronger evidence is needed to better understand this field, and the application of these findings in clinical practice still remains poorly feasible.