Search results for " PRIN"

ORNAMENTAL SIGN LANGUAGE IN THE FIRST ORDER TRACERY BELTS

2010

18 pages; We consider ornamental sign language of first order where principles of sieve displacement, of asymmetric building blocks as base of ornament symmetry, color exchangeability and side equivalence principles work. The generic aspects of sieve and genesis of ornamental pattern and ornament sign in it are discussed. The hemiolia principle for ornamental genesis is introduced. The discoverer of most of these principles were artist Modris Tenisons [4, 5, 6, 7 (refs. 23, 24), 8 (ref. 65)]. Here we apply systematical research using simplest mathematical arguments. We come to conclusions that mathematical argument in arising ornament is of much more significance than simply symmetries in i…

Bioanalysis in Femtoliter Scale Printed Artificial Systems

2020

Printing has fueled the development of a new class of artificial biosystems for the qualitative and quantitative determination of bioanalytes [1]. In particular, the multiscale organization (from nanometers to millimeters) and multiplexed molecular composition (DNA, proteins, lipids, polymers) of such platforms enable the determination of molecular interactions in conditions mimicking/redesigning those of the living systems. Since the development of microarrays platforms [2], the downsizing of the “analyzable” feature down to femtoliter (fL) scales has permitted to develop new researches in the field of molecular condensates/confinement. Herein, two relevant examples of fL-scale systems wil…

Green Composites Based on Hedysarum coronarium with Outstanding FDM Printability and Mechanical Performance

2022

The addition of natural scraps to biodegradable polymers has gained particular interest in recent years, allowing reducing environmental pollution related to traditional plastic. In this work, new composites were fabricated by adding 10% or 20% of Hedysarum coronarium (HC) flour to Poly (lactic acid) (PLA). The two formulations were first produced by twin screw extrusion and the obtained filaments were then employed for the fabrication of composites, either for compression molding (CM) or by fused deposition modeling (FDM), and characterized from a morphological and mechanical point of view. Through FDM it was possible to achieve dense structures with good wettability of the filler that, on…

Hedysarum coronarium-Based Green Composites Prepared by Compression Molding and Fused Deposition Modeling

2022

In this work, an innovative green composite was produced by adding Hedysarum coronarium (HC) flour to a starch-based biodegradable polymer (Mater-Bi®, MB). The flour was obtained by grinding together stems, leaves and flowers and subsequently sieving it, selecting a fraction from 75 μm to 300 μm. Four formulations have been produced by compression molding (CM) and fused deposition modeling (FDM) by adding 5%, 10%, 15% and 20% of HC to MB. The influence of filler content on the processability was tested, and rheological, morphological and mechanical properties of composites were also assessed. Through CM, it was possible to obtain easily homogeneous samples with all filler amounts.…

Pseudo-Planar Organic Heterojunctions by Sequential Printing of Quasi-Miscible Inks

2021

This work deals with the interfacial mixing mechanism of picoliter (pL)-scale droplets produced by sequential inkjet printing of organic-based inks onto ITO/PET surfaces at a moderately high Weber number (~101). Differently from solution dispensing processes at a high Bond number such as spin coating, the deposition by inkjet printing is strictly controlled by droplet velocity, ink viscosity, and surface tension. In particular, this study considers the interfacial mixing of droplets containing the most investigated donor/acceptor couple for organic solar cells, i.e., poly(3-hexylthiophene) (P3HT) and (6,6)-phenyl-C61-butyric acid methyl ester (PCBM), showing how low-viscosity and low-surfac…

Inkjet Printing Quasi-Miscible Droplets for Pseudo-Planar Organic Heterojunctions

2021

Contributo per una visione contemporanea dell’azienda agricola: tra sostenibilità e sfide del mondo digitale

2023

Le sfide che l’umanità sta affrontando e da cui dipende la sopravvivenza del pianeta, il diffondersi nell’ambito dell’attività agricola di tecnologie digitali sempre più avanzate e la necessità di adottare un approccio sostenibile che preservi le risorse a tutela delle generazioni future hanno condotto l’azienda agricola a cambiare gradualmente volto. Questo libro mira a contribuire a un’aggiornata riflessione sul ruolo dell’imprenditore agricolo e dell’azienda da lui condotta, osservandone l’organizzazione e composizione alla luce delle regole che oggi la disciplinano e guardando alle innovazioni necessarie a garantire il raggiungimento dei pressanti obiettivi climatici e ambientali verso …

Barbed Dental Ti6Al4V Alloy Screw : Design and Bench Testing

2023

Background context. Dental implants are designed to replace a missing tooth. Implant stability is vital to achieving osseointegration and successful implantation. Although there are many implants available on the market, there is room for improvement. Purpose. We describe a new dental implant with improved primary stability features. Study design. Lab bench test studies. Methods. We evaluated the new implant using static and flexion–compression fatigue tests with compression loads, 35 Ncm tightening torque, displacement control, 0.01 mm/s actuator movement speed, and 9–10 Hz load application frequency, obtaining a cyclic load diagram. We applied variable cyclic loadings of prede…

Nonlinear data description with Principal Polynomial Analysis

2012

Principal Component Analysis (PCA) has been widely used for manifold description and dimensionality reduction. Performance of PCA is however hampered when data exhibits nonlinear feature relations. In this work, we propose a new framework for manifold learning based on the use of a sequence of Principal Polynomials that capture the eventually nonlinear nature of the data. The proposed Principal Polynomial Analysis (PPA) is shown to generalize PCA. Unlike recently proposed nonlinear methods (e.g. spectral/kernel methods and projection pursuit techniques, neural networks), PPA features are easily interpretable and the method leads to a fully invertible transform, which is a desirable property…

Spectral clustering with the probabilistic cluster kernel

2015

Abstract This letter introduces a probabilistic cluster kernel for data clustering. The proposed kernel is computed with the composition of dot products between the posterior probabilities obtained via GMM clustering. The kernel is directly learned from the data, is parameter-free, and captures the data manifold structure at different scales. The projections in the kernel space induced by this kernel are useful for general feature extraction purposes and are here exploited in spectral clustering with the canonical k-means. The kernel structure, informative content and optimality are studied. Analysis and performance are illustrated in several real datasets.