Prevention and Mitigation of Rural Higher Education Dropout in Colombia: A Dynamic Performance Management Approach.

Dropout in higher education is a socio-educational phenomenon that has the scope to limit the benefits of education as well as to widen social disparities. For this reason, governments have implemented various public policies for its prevention and mitigation. However, in rural populations, such policies have proven to be ineffective.

Clinical efficacy of a combined acceptance and commitment therapy, dialectical behavioural therapy, and functional analytic psychotherapy intervention in patients with borderline personality disorder.

Objective: Borderline personality disorder (BPD) consists of a persistent pattern of instability in affective regulation, impulse control, interpersonal relationships, and self-image. Although certain forms of psychotherapy are effective, their effects are small to moderate. One of the strategies that have been proposed to improve interventions involves integrating the therapeutic elements of different psychotherapy modalities from a contextual behavioural perspective (ACT, DBT, and FAP).

Changes in facial emotion expression during a psychotherapeutic intervention for patients with borderline personality disorder.

Unlabelled: Emotional dysregulation is one of the main features of Borderline Personality Disorder (BPD). Therefore, it constitutes a central therapeutic objective of the interventions that have proven to be effective for these patients, including the Acceptance and Commitment Therapy (ACT). However, benefits on emotional regulation have been evaluated through self-report instruments, and an anatomically based, objective, and precise measurement of the ability to change the type, duration and frequency of emotions is still needed.

Circular Order Aggregation and its Application to Cell-cycle Genes Expressions.

The aim of circular order aggregation is to find a circular order on a set of n items using angular values from p heterogeneous data sets. This problem is new in the literature and has been motivated by the biological question of finding the order among the peak expression of a group of cell cycle genes. In this paper, two very different approaches to solve the problem that use pairwise and triplewise information are proposed.

Circular Order Aggregation and its Application to Cell-cycle Genes Expressions.

The aim of circular order aggregation is to find a circular order on a set of n items using angular values from p heterogeneous data sets. This problem is new in the literature and has been motivated by the biological question of finding the order among the peak expression of a group of cell cycle genes. In this paper, two very different approaches to solve the problem that use pairwise and triplewise information are proposed.

Circular piecewise regression with applications to cell-cycle data.

Applications of circular regression models appear in many different fields such as evolutionary psychology, motor behavior, biology, and, in particular, in the analysis of gene expressions in oscillatory systems. Specifically, for the gene expression problem, a researcher may be interested in modeling the relationship among the phases of cell-cycle genes in two species with differing periods. This challenging problem reduces to the problem of constructing a piecewise circular regression model and, with this objective in mind, we propose a flexible circular regression model which allows different parameter values depending on sectors along the circle.

Determination of Temporal Order among the Components of an Oscillatory System.

Oscillatory systems in biology are tightly regulated process where the individual components (e.g. genes) express in an orderly manner by virtue of their functions.

isocir: An R Package for Constrained Inference using Isotonic Regression for Circular Data, with an Application to Cell Biology.

In many applications one may be interested in drawing inferences regarding the order of a collection of points on a unit circle. Due to the underlying geometry of the circle standard constrained inference procedures developed for Euclidean space data are not applicable. Recently, statistical inference for parameters under such order constraints on a unit circle was discussed in Rueda (2009); Fernández (2012).