Search results for "Prediction."
showing 10 items of 490 documents
The predictive ability and value relevance of accounting measures
2011
Accepted version of an article published in the journal: International Journal of Economics and Accounting. Also available from the publisher at: http://dx.doi.org/10.1504/IJEA.2011.041894 Empirical accounting research sometimes assumes that the value relevance of accounting variables can be indirectly assessed by studying the ability of the variables to forecast future cash flow and earnings. This study investigates the relationships between short-term cash flow and earnings prediction tests and value relevance analyses. I find that earnings prediction tests might be good substitutes for value relevance analyses, whereas cash flow prediction tests merely provide indications with respect to…
Predicted secondary structure of hydroperoxide lyase from green bell pepper cloned in the yeast Yarrowia lipolytica
2010
International audience; Fatty acid hydroperoxide lyase (HPL) is a member of the cytochrome P450 family acting on fatty acid hydroperoxides in many organisms. The active green bell pepper HPL, cloned and expressed in the yeast Yarrowia lipolytica, was purified by immobilized metal-ion affinity chromatography (IMAC) in the presence of 2% of Triton X-100R. The secondary structure prediction by bioinformatics servers of HPL was realized by ANTHEPROT software, using the GOR, DPM and Predator methods. The theoretical results which are average values obtained from three different calculation methods showed 33% α-helix, 18% β-sheet, 7% turn and 42% coil. On the other hand, the secondary structure a…
Child Abuse, Neglect, and Violent Criminal Behavior in a Midwest Metropolitan Area of the United States, 1967-1988
1991
These data examine the relationships between childhood abuse and/or neglect and later criminal and violent criminal behavior. In particular, the data focus on whether being a victim of violence and/or neglect in early childhood leads to being a criminal offender in adolescence or early adulthood and whether a relationship exists between childhood abuse or neglect and arrests as a juvenile, arrests as an adult, and arrests for violent offenses. For this data collection, adult and juvenile criminal histories of sampled cases with backgrounds of abuse or neglect were compared to those of a matched control group with no official record of abuse or neglect. Variables contained in Part 1 include …
Semantic place recognition for context aware services
2012
Extracting the meaning of the most significant places, which are frequently visited by a mobile user, is a relevant problem in mobile computing. Predicting semantic meaning of such places is useful in many areas. The problem of place semantic annotation of a user location can be challenging for service providers. Awareness of user activities is very important for development of personalized applications, which can be used in health care systems, living systems, etc. Predicting location of mobile users not only enables development of high quality location-based services and applications, but also improves resource reservation in wireless networks. In this research several solutions for seman…
Comparison of Game-Related Statistics in Men's International Championships between Winning and Losing Teams according to Margin of Victory
2014
The aims of this study were (i) to compare water polo game-related statistics by game outcome (winning and losing teams) and margins of victory (close games, unbalanced games, and very unbalanced games), and (ii) to identify characteristics that mark the differences in performances for each group of margin of victory. The game-related statistics of the 308 men's matches played in seven International Championships (Olympic Games, World and European Championships) were analysed. A cluster analysis established three groups (close games, unbalanced games, and very unbalanced games) according to the margin of victory. Differences between game outcomes (winning or losing teams) and margins of vic…
Information Transfer in Linear Multivariate Processes Assessed through Penalized Regression Techniques: Validation and Application to Physiological N…
2020
The framework of information dynamics allows the dissection of the information processed in a network of multiple interacting dynamical systems into meaningful elements of computation that quantify the information generated in a target system, stored in it, transferred to it from one or more source systems, and modified in a synergistic or redundant way. The concepts of information transfer and modification have been recently formulated in the context of linear parametric modeling of vector stochastic processes, linking them to the notion of Granger causality and providing efficient tools for their computation based on the state&ndash
Satisfacció i rendiment dels docents als centres educatius de la Comunitat Valenciana
2004
Els nombrosos estudis realitzats al voltant de l'associació entre la satisfacció laboral i el rendiment en el treball han contribuït al fet que els dos constructes esdevinguen, en l'actualitat, elements centrals en l'anàlisi de la conducta organitzacional. A partir de les dades obtingudes d'una mostra del professorat de centres no universitaris de la Comunitat Valenciana, ens hem proposat de contribuir a la comprensió de la relació entre aquestes dues variables. Els nostres resultats mostren, d'una banda, que la satisfacció amb el treball i el rendiment estan significativament relacionats. D'altra banda, l'estimació en l'ordre de la relació és de reciprocitat. És a dir, la satisfacció pot a…
One-Dimensional Convolutional Neural Networks Combined with Channel Selection Strategy for Seizure Prediction Using Long-Term Intracranial EEG
2022
Seizure prediction using intracranial electroencephalogram (iEEG) has attracted an increasing attention during recent years. iEEG signals are commonly recorded in the form of multiple channels. Many previous studies generally used the iEEG signals of all channels to predict seizures, ignoring the consideration of channel selection. In this study, a method of one-dimensional convolutional neural networks (1D-CNN) combined with channel selection strategy was proposed for seizure prediction. First, we used 30-s sliding windows to segment the raw iEEG signals. Then, the 30-s iEEG segments, which were in three channel forms (single channel, channels only from seizure onset or free zone and all c…
Predicting the availability of users' devices in Decentralized Online Social Networks
2018
The understanding of the user temporal behavior is a crucial aspect for all those systems that rely on user resources for daily operations, such as decentralized online social networks (DOSNs). Indeed, DOSNs exploit the devices of their users to take on and share the tasks needed to provide services such as storing the published data. In the last years, the increasing popularity of DOSN services has changed the way of how people interact with each other by enabling users to connect to these services at any time by using their personal devices (such as notebooks or smartphones). As a result, the availability of data in these systems is strongly affected (or reflected) by the temporal behavio…
Inductive inference of recursive functions: complexity bounds
1991
This survey includes principal results on complexity of inductive inference for recursively enumerable classes of total recursive functions. Inductive inference is a process to find an algorithm from sample computations. In the case when the given class of functions is recursively enumerable it is easy to define a natural complexity measure for the inductive inference, namely, the worst-case mindchange number for the first n functions in the given class. Surely, the complexity depends not only on the class, but also on the numbering, i.e. which function is the first, which one is the second, etc. It turns out that, if the result of inference is Goedel number, then complexity of inference ma…