1,721,410 research outputs found
"Nuovo" falso in bilancio: un passo indietro nel cammino verso l'Europa
No full textIl lavoro analizza criticamente la riforma della disciplina penale italiana delle false comunicazioni sociali
Alien Registration- Hitchcock, Vella F. (Houlton, Aroostook County)
Full text linkhttps://digitalmaine.com/alien_docs/34526/thumbnail.jp
L'AUTONOMIA DELLE BANCHE TRA NUOVO DIRITTO SOCIETARIO E REGOLE DI VIGILANZA. UN DOPPIO BINARIO PER LA "GOVERNANCE"?
No full text
The effect of processing methods on phytochemical composition in bergamot juice
No full textExperimental and epidemiological studies show a positive relation between consumption of citrus juices and reduction of risk for some chronic disorders, such as diabetes and cardiovascular diseases. In particular, the bergamot juice is characterized by noticeable amounts of phytochemicals such as flavanone glycosides, limonoids, and quaternary ammonium compounds, all health-beneficial biomolecules. In vitro and in vivo studies have shown anti-inflammatory, cholesterol-lowering, and anti-diabetic activities attributed to these compounds depending on their chemical structure. However, nutritional content of bergamot juice may vary as consequence of different processing techniques, thus needing to address this claim. For this reason, the objective of this research was to evaluate the effects of different processing systems on the proximate constituents, the composition, and the antioxidant activity of the correspondent juices. Overall, the results indicate that the process employed may influence the chemical composition and the functional properties of the ended juice. Screw press method produced a juice with greater content of flavanone glycosides (ranged from 37 to 402 mg/L) and limonoid aglycones (ranged from 65 to 67 mg/L) than the other processes (p < 0.001). However, the process used for extraction of bergamot juice did not affect significantly the N,N-dimethyl-L-proline content (p < 0.5). Moreover, the screw press juice showed the highest antioxidant activity with EC50 value of 9.35 μg/mL, thus suggesting that this method maintains for health the nutritional quality of a fresh-pressed juice
Characterization of polyphenolic compounds in cantaloupe melon by-products
No full textThe Muskmelon (Cucumis melo L.), which includes several crops of great economic importance worldwide, belongs to the Cucurbitaceae family, and it is well recognized for culinary and medicinal purposes. The high fruit consumption produces a large quantity of waste materials, such as peels and seeds that are still rich in molecules like polyphenols, carotenoids, and other biologically active components that possess a positive influence on human health and wellness. A sustainable development in agro-food and agro-industry sectors could come through the reutilization and valorization of these wastes, which in turn, could result in reducing their environmental impact. The current study provides a biochemical characterization of cantaloupe by-products, peels and seeds, through evaluating total polyphenols, ortho-diphenols, flavonoids, and tannins content. Furthermore, the antioxidant activity was assessed in order to understand potential benefits as natural antioxidants. Overall, the peel extract revealed the highest radical's scavenging and reducing activities, moreover, it showed higher polyphenolic content than seed extract as revealed by both cromatographic and spectrophotometric analyses. The results of the present study indicate that the melon residues are a good source of natural phytochemicals useful for many purposes, such as ingredients for nutraceutic, cosmetic, or pharmaceutical industries, development of functional ingredients and new foods, and production of fertilizers and animal feed
A novel approach to personal photo album representation and management
No full textIn this paper we present a novel approach to personal photo album management allowing the end user to efficiently access the collection without any need for tedious manual annotation or indexing of the photos. The proposed work exploits methods and technology from the field of computer vision and pattern recognition for face detection, face representation and image annotation to automatically create description of images useful for content-based searching and retrieval.
In fact, even if most of the used techniques are not reliable enough to address the general problem of content-based image retrieval, we show that, in a limited domain such as the one of personal photo album, it is possible to obtain results that improve the browsing capabilities of current photo album management systems.
In particular, starting from the observation that most personal photos depict a usually small number of people in a relatively small number of different context (indoor, outdoor, beach, mountain, city, etc...) we propose the use of automatic techniques to index images based on who is present in the scene and on the context where the picture was taken. Experiments on a personal photo collection of about a thousand images proved that relatively simple content-based techniques lead to surprisingly good results in term of easyness of user access to the data
Scalable Energy Games Solvers on GPUs
No full textModeling the consumption of limited resources, e.g., time or energy, plays a central role in the design of reactive systems such as embedded controllers. To this aim, quantitative objectives are defined on game arenas that can be easily modeled as weighted graphs. Instances of these games, called energy games, can be solved in O(|E ||V |W) where W is the maximum weight. Recent work has demonstrated that sequential implementations hardly solve practical instances. Furthermore, emerging approaches, that have investigated the parallelism of CPUs multi-core and GPU for solving the initial credit problem for energy games, still perform poorly due to the non-trivial characteristics of these graphs. In the present work, we first describe a revised version of the algorithm on a multi-core CPU that obtains a faster convergence time on real-world graphs with up to 30x against serial implementation by showing good scalability overall. Second, we provide a new GPU-based parallel implementation based on warp-level primitives that allow to reduce the time-to-solution on several instances with up to 3.6x of speed-up against traditional parallel vertex-based approaches. We also discuss a methodology to build synthetic energy games to validate the scalability of parallel algorithms on two totally different settings
Brief Announcement: A Computational Model for Tensor Core Units
No full textTo respond to the need for efficient training and inference of deep neural networks, a plethora of domain-specific architectures have been introduced, such as Google Tensor Processing Units and NVIDIA Tensor Cores. A common feature of these architectures is the design for efficiently computing a dense matrix product of a given small size. In order to broaden the class of algorithms that exploit these systems, we propose a computational model, named the TCU model, that captures the ability to natively multiply small matrices. We then use the TCU model for designing fast algorithms for several problems, including dense and sparse matrix multiplication and the Discrete Fourier Transform. We finally highlight a relation between the TCU model and the external memory model
- …
