Batterer intervention programs (BIPs) are some of the most relevant strategies to reduce intimate partner violence (IPV). However, rate dropout is significantly high, which may impact effectiveness such strategies. Literature has identified several factors associated with BIPs’ dropout; nonetheless findings remain inconsistent. Thus, aims this study were analyse differences between perpetrators...

Dropout is a recently introduced algorithm for training neural network by randomly dropping units during training to prevent their co-adaptation. A mathematical analysis of some of the static and dynamic properties of dropout is provided using Bernoulli gating variables, general enough to accommodate dropout on units or connections, and with variable rates. The framework allows a complete analy...

There is inconsistency in how we operationalise dropout in clinical research, with studies defining it based on time, number of sessions, therapeutic goals, an identified ‘end’ of therapy, or the therapist’s judgement. The effect of different definitions is poorly understood, but metaanalyses have indicated that they may produce varying rates of dropout and relate to heterogenous client groups....

Dropout is a common occurrence in longitudinal studies. Building upon the pattern-mixture modeling approach within the Bayesian paradigm, we propose a general framework of varying-coefficient models for longitudinal data with informative dropout, where measurement times can be irregular and dropout can occur at any point in continuous time (not just at observation times) together with administr...

This work seeks to understand the determinants of student dropout in courses offered by Open University Brazil system at Federal Santa Maria. To achieve this objective was used: survival function, factorial analysis and logistic function. The mean rates UAB/UFSM were close 47%, for undergraduate rate 50.5%, higher than that postgraduate, from 43.4%. probability a dropping out course is 58.85%, ...

Single cell RNA-seq data allows insight into normal cellular function and diseases including cancer through the molecular characterisation of cellular state at the single-cell level. Dimensionality reduction of such high-dimensional datasets is essential for visualization and analysis, but single-cell RNA-seq data is challenging for classical dimensionality reduction methods because of the prev...

We introduce DropConnect, a generalization of Dropout (Hinton et al., 2012), for regularizing large fully-connected layers within neural networks. When training with Dropout, a randomly selected subset of activations are set to zero within each layer. DropConnect instead sets a randomly selected subset of weights within the network to zero. Each unit thus receives input from a random subset of ...

Transarterial chemoembolization (TACE) can prevent tumor progression in patients with hepatocellular carcinoma awaiting liver transplantation. This article introduces the effect of TACE before liver transplantation in terms of dropout rate, improvement in overall survival, prediction of survival, and its application as down-stage

Teaching introductory object-oriented programming is considered difficult. We have developed a model-driven object-first approach with strong focus on systematic techniques and explicit exposure of the programming process. It is our experience that this is a very effective approach: the students learn object-oriented programming as well as fundamental software engineering techniques, and the dr...

School dropout is one of the most complex and crucial problems in the field of education. It permeates and afflicts the several levels and teaching modalities, besides hurting the principle of human dignity. In relation to higher education, internationally, the phenomenon is an object of attention and care, aiming to increase the indexes of permanence and completion rate of the undergraduate st...