Search results for "Artificial"
showing 10 items of 7394 documents
Probabilistic Logic under Coherence: Complexity and Algorithms
2005
In previous work [V. Biazzo, A. Gilio, T. Lukasiewicz and G. Sanfilippo, Probabilistic logic under coherence, model-theoretic probabilistic logic, and default reasoning in System P, Journal of Applied Non-Classical Logics 12(2) (2002) 189---213.], we have explored the relationship between probabilistic reasoning under coherence and model-theoretic probabilistic reasoning. In particular, we have shown that the notions of g-coherence and of g-coherent entailment in probabilistic reasoning under coherence can be expressed by combining notions in model-theoretic probabilistic reasoning with concepts from default reasoning. In this paper, we continue this line of research. Based on the above sem…
Cyberbullying in schools : mobile phone and internet effect in adolescents
2017
El objetivo del estudio está enfocado a conocer la prevalencia de las formas de cyberbullying (teléfono móvil e internet) y cómo estas se ven influenciadas por las variables personales y escolares. La muestra final estuvo formada por un total de 749 alumnos de Educación Secundaria Obligatoria, con edades comprendidas entre los 12 y los 15 años (M = 13.77 años; DT = 1.12). Para la recogida de información se utiliza un cuestionario “ad hoc” (datos socioescolares) y la escala de Victimización entre Adolescentes a través del Teléfono Móvil y de Internet (CYBVIC) (Buelga, Cava & Musitu, 2012). De un primer análisis descriptivo, se obtienen porcentajes similares pero con ligera prevalencia en…
Questions and controversies in the study of time-varying functional connectivity in resting fMRI.
2020
The brain is a complex, multiscale dynamical system composed of many interacting regions. Knowledge of the spatiotemporal organization of these interactions is critical for establishing a solid understanding of the brain’s functional architecture and the relationship between neural dynamics and cognition in health and disease. The possibility of studying these dynamics through careful analysis of neuroimaging data has catalyzed substantial interest in methods that estimate time-resolved fluctuations in functional connectivity (often referred to as “dynamic” or time-varying functional connectivity; TVFC). At the same time, debates have emerged regarding the application of TVFC analyses to re…
Studies on the interaction of C1q,a subcomponent of the first component of complement, with porins fromSalmonella minnesotaincorporated into artifici…
1990
AbstractPurified outer membrane proteins (OMP) of Salmonella minnesota, Re-form, were incorporated into liposomes. These induced in macrophages a chemiluminescence signal identical to that of the intact Re-form. This signal was abolished by preincubation of porin-containing liposomes with purified C1q. Incorporation of isolated OMP into black lipid membranes (BLM) resulted in channel-formation which could not be inhibited by isolated C1q. Additionally, incubation of OMP-containing liposomes with BLM resulted in pore-formation within the BLM. This was amplified when lipid A was present within the liposomes. Preincubation of OMP-containing liposomes with purified C1q abolished pore-formation …
One and Two Dimensional Convolutional Neural Networks for Seizure Detection Using EEG Signals
2021
Deep learning for the automated detection of epileptic seizures has received much attention during recent years. In this work, one dimensional convolutional neural network (1D-CNN) and two dimensional convolutional neural network (2D-CNN) are simultaneously used on electroencephalogram (EEG) data for seizure detection. Firstly, using sliding windows without overlap on raw EEG to obtain the definite one-dimension time EEG segments (1D-T), and continuous wavelet transform (CWT) for 1D-T signals to obtain the two-dimension time-frequency representations (2D-TF). Then, 1D-CNN and 2D-CNN model architectures are used on 1D-T and 2D-TF signals for automatic classification, respectively. Finally, t…
A Cooperative Multi-Agent System for Crowd Sensing Based Estimation in Smart Cities
2020
The concept of Smart City has spread as a solution to ensure better access to information and services to citizens, but also as a means to reduce the environmental footprint of cities. To this end, a continuous and wide observation of the environment is necessary to analyze information that enables government bodies to act on the environment appropriately. Moreover, a diffused acquisition of information requires adequate infrastructure and proper devices, which results in relevant installation and maintenance costs. Our proposal enables reducing the number of necessary sensors to be deployed while ensuring that information is available at any time and anywhere. We present the HybridIoT syst…
Urban Growth and Real Estate Income. A Comparison of Analytical Models
2016
I processi di crescita urbana sono notoriamente complessi dipendendo da un’ampia varietà di fattori demografici, socio-culturali ed economici. L’analisi è ancora più complessa nelle aree metropolitane che sono il risultato di antichi processi di agglomerazione in una fase d’intenso accrescimento dell’insediamento e, più recentemente, della formazione di policentrismo urbano. L’investigazione richiede l’acquisizione, l’analisi e l’elaborazione d’idonee informazioni a livello delle unità territoriali omogenee, basandosi su modelli consolidati o su nuovi protocolli da verificare. Il presente contributo analizza la crescita urbana secondo un approccio di piccola scala, individuando i distretti …
Imperial straightening devices in disciplinary choices of academic knowledge production
2021
Abstract In this piece, the authors question whether critical language research, in its complex collection of researcher choices, is possible beyond the discursive imaginary of critical academic scholarship. In other words, how do (allegedly) anticolonial efforts re-orient towards contribution to the imperial record? We present three vignettes, through which we grapple with the notion that researcher choice exists within the solipsism of academia. In doing so, we frame research and scholarship as a collection of choices, which we believe are better understood as a collection of fraught dilemmas. These dilemmas recognize that all academic scholarship production and its processes are birthed …
Using Kaleidoscopic Pedagogy to Foster Critically Reflective Learning About Management and Leadership
2019
This chapter focuses on an Arts-Based Intervention (ABI) into an Introductory course of Management and Leadership offered to students considering key concepts and frames of thinking in the field for the first time. First, we introduce Kaleidoscopic Pedagogy and conceptually frame our ABI in relation to the mode of learning that it allows for together with the drive for equality that it is concerned with. We then introduce the context of the ABI, describe the course and its background and the course facilitators together with information about the participants. Emphasis is placed on the way the course was framed to bring a sense of present-day management reality through our use of art-based …
The use of artificial intelligence in customer relationship management
2020
Tässä kandidaatintutkielmassa tutkitaan tapoja, joilla tekoälyä hyödynnetään asiakkuudenhallinnassa. Tekoäly on viime vuosina kasvattanut suosiotaan merkittävästi, jonka vaikutuksena se on kehittynyt entisestään hyödyllisemmäksi teknologiaksi. Tekoälyn käyttö kasvaa jatkuvasti, ja asiakkuudenhallinta on yksi ajankohtaisista alueista, johon tätä merkittävää teknologiaa hyödynnetään. Tämän tutkielman tarkoitus on vastata kysymyksiin miksi, ja miten tekoälyä käytetään asiakkuudenhallinnassa. Sen lisäksi tutkielma tarkastelee aiheeseen kriittisesti liittyvää yritystä nimeltään Salesforce ja sen tarjoamaa tekoälyä, Einsteinia. Tutkielma on toteutettu kirjallisuuskatsauksena. Tutkielman tuloksena…