281 research outputs found
Il problema dei "controlli difensivi" del datore di lavoro: estne saepe ius summum malitia?
No full textGli Autori, alla luce di due recentissime sentenze della Corte di Cassazione, l’una della Sezione lavoro (23 febbraio 2010, n. 4375) e l’altra della quinta Sezione penale (1 giugno 2010, n. 20722), analizzano il tema dei c.d. “controlli difensivi” operando un riepilogo dello stato della giurisprudenza in materia, alla luce della più recente dottrin
Forecasting Parking Lots Availability: Analysis from a Real-World Deployment
No full textSmart parking technologies are rapidly being deployed in cities and public/private places around the world for the sake of enabling users to know in real time the occupancy of parking lots and offer applications and services on top of that information. In this work, we detail a real-world deployment of a full-stack smart parking system based on industrial-grade components. We also propose innovative forecasting models (based on CNN-LSTM) to analyze and predict parking occupancy ahead of time. Experimental results show that our model can predict the number of available parking lots in a ±3% range with about 80% accuracy over the next 1-8 hours. Finally, we describe novel applications and services that can be developed given such forecasts and associated analysis
Confronto al SEM di sei superfici implantari SLA.
No full textL'obiettivo della ricerca da parte degli autori è quello di analizzare e confrontare la microstruttura della superficie SLA di sei impianti di altrettante case produttrici diverse, dopo l'applicazione e successiva rimozione degli stessi dal sito operatorio.
Gli impianti immediatamente dopo la rimozione, previo l'immersione preparatoria in bagno ultrasonico, sono stati osservati al SEM a ingrandimenti crescenti 100X, 1000X,2000x e 4000X evidenziando una serie di modificazioni della superficie atte a determinare una variabilità del successo clinico
Non-coding RNAs functioning in colorectal cancer stem cells
No full textIn recent years, the hypothesis of the presence of tumor-initiating cancer stem cells (CSCs) has received a considerable support. This model suggested the existence of CSCs which, thanks to their self-renewal properties, are able to drive the expansion and the maintenance of malignant cell populations with invasive and metastatic potential in cancer. Increasing evidence showed the ability of such cells to acquire self-renewal, multipotency, angiogenic potential, immune evasion, symmetrical and asymmetrical divisions which, along with the presence of several DNA repair mechanisms, further enhance their oncogenic potential making them highly resistant to common anticancer treatments. The main signaling pathways involved in the homeostasis of colorectal (CRC) stem cells are the Wnt, Notch, Sonic Hedgehog, and Bone Morfogenic Protein (BMP) pathways, which are mostly responsible for all the features that have been widely referred to stem cells. The same pathways have been identifi ed in colorectal cancer stem cells (CRCSCs), conferring a more aggressive phenotype compared to non-stem CRC cells. Recently, several evidences suggested that non-coding RNAs (ncRNAs) may play a crucial role in the regulation of different biological mechanisms in CRC, by modulating the expression of critical stem cell transcription factors that have been found active in CSCs. In this chapter, we will discuss the involvement of ncRNAs, especially microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), in stemness acquisition and maintenance by CRCSCs, through the regulation of pathways modulating the CSC phenotype and growth, carcinogenesis, differentiation, and epithelial to mesenchymal transition (EMT)
Dynamic identification of helicopter structures using operational modal analysis methods in the presence of harmonic loading
No full textThis paper reports the activities performed to evaluate the effectiveness of a number of selected Operational Modal Analysis methodologies, based on both frequency- and time-domain algorithm, dealing with a class of input excitation composed by a broad band white noise corrupted with harmonic loadings, characterizing the dynamic environment of helicopters. The main objective is to evaluate how this class of excitation (that differs from the pure random noise excitation required by all the Operational Modal Analysis methods) affects the estimate of the modal parameters. Moreover, the sensitivity of the proposed approaches to the harmonic loading to the random energy ratio is investigated. An actual medium class helicopter structure, a time expired Lynx Mk7 airframe located at the University of Bristol laboratory facilities, and an AgustaWestland lightweight helicopter tail are considered for this purpose. The modal parameters of such structures are estimated in the Operational Modal Analysis framework only considering the vibration responses due to several multiple stochastic random and sinusoidal excitations, provided by electro-dynamic shakers. Such estimates are compared against those derived from the more traditional input/output-based Experimental Modal Analysis approach, which is used as a reference to assess the performance of the considered Operational Modal Analysis methods
Impacto de diferentes estrategias de manejo sobre la productividad de maíz tardío en el noroeste bonaerense
No full textEl objetivo de este estudio fue evaluar el impacto de diferentes estrategias de manejo de secuencias de CC/maíz tardío sobre la dinámica de agua, nitrógeno (N) y productividad de los cultivos.AER General PicoFil: Barraco, Miriam Raquel. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; ArgentinaFil: Alvarez, Cristian. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; ArgentinaFil: Giron, Paula. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria General Villegas; ArgentinaFil: Aguirre, Mariano. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Anguil; Argentin
Fashion-Oriented Image Captioning with External Knowledge Retrieval and Fully Attentive Gates
No full textResearch related to fashion and e-commerce domains is gaining attention in computer vision and multimedia communities. Following this trend, this article tackles the task of generating fine-grained and accurate natural language descriptions of fashion items, a recently-proposed and under-explored challenge that is still far from being solved. To overcome the limitations of previous approaches, a transformer-based captioning model was designed with the integration of external textual memory that could be accessed through k-nearest neighbor (kNN) searches. From an architectural point of view, the proposed transformer model can read and retrieve items from the external memory through cross-attention operations, and tune the flow of information coming from the external memory thanks to a novel fully attentive gate. Experimental analyses were carried out on the fashion captioning dataset (FACAD) for fashion image captioning, which contains more than 130k fine-grained descriptions, validating the effectiveness of the proposed approach and the proposed architectural strategies in comparison with carefully designed baselines and state-of-the-art approaches. The presented method constantly outperforms all compared approaches, demonstrating its effectiveness for fashion image captioning
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