[1] During 124 high-speed-stream-driven storms from two solar cycles, a multispacecraft average of the 1.1–1.5 MeV electron flux measured at geosynchronous orbit is examined to study global dropouts of the flux. Solar wind and magnetospheric measurements are analyzed with a superposed epoch technique, with the superpositions triggered by storm-convection onset, by onset of the relativistic-elec...

BACKGROUND Monitoring and evaluation (M&E) of HIV care and treatment programs is impacted by losses to follow-up (LTFU) in the patient population. The severity of this effect is undeniable but its extent unknown. Tracing all lost patients addresses this but census methods are not feasible in programs involving rapid scale-up of HIV treatment in the developing world. Sampling-based approaches an...

We report on the i-dropouts detected in two exceptionally deep ACS fields (B435, V606, i775, and z850 with 10σ limits of 28.8, 29.0, 28.5, and 27.8, respectively) taken in parallel with the UDF NICMOS observations. Using an i− z > 1.4 cut, we find 30 i-dropouts over 21 arcmin down to z850,AB = 28.1, or 1.4 i-dropouts arcmin, with significant field-to-field variation (as expected from cosmic var...

Online learning environments became popular in recent years. Due to high attrition rates, the problem of student dropouts immense importance for course designers, and makers. In this paper, we utilized lasso ridge logistic regression create a prediction model dropout on Open University database. We investigated how early can be predicted, why occur. To answer first question, created models eigh...

This paper uses insights from behavioral economics to explain a particularly surprising borrowing phenomenon: One in six undergraduate students offered interest-free loans turn them down. Models of impulse control predict that students may optimally reject subsidized loans to avoid excessive consumption during school. Using the National Postsecondary Student Aid Study (NPSAS), we investigate st...

Corrected authors’ contributions MN made substantial contributions to conception and design, acquisition of data, analysis and interpretation of data, and drafted the manuscript. DA made substantial contributions to conception and design, acquisition of data, analysis and interpretation of data. MC made substantial contributions to the inception of the study, revision of the manuscript, and is ...

The vast growth and reach of internet and social media have led to a tremendous increase in socio-behavioral interaction content on the web. The ever-increasing number of online interactions have led to a growing interest to understand and interpret online communications to enhance user experience. This includes personalization, user retention, predicting user interests, and product recommendat...

This article aims to analyze the impact of learning styles on distance in higher education. qualitative study is based a literature review that comprehends students' as determining influencing factors teaching and process. It was carried out through electronic databases ScienceDirect, Scopus Web Science. The focused articles addressed impacts/implications relationship between performance learne...

Schools in border areas are threatened with closure due to the difficulty of organizing learning midst a pandemic. This paper portrays this reality by describing process school (Madrasah Ibtidaiyah Darul Furqon) on Sebatik Island (the Indonesia-Malaysia border) during COVID-19 School is foundation for children Indonesian migrant workers who work Malaysian oil palm plantations. Therefore, resear...

Title of dissertation: A Probabilistic Approach to Modeling Socio-Behavioral Interactions Arti Ramesh, Doctor of Philosophy, 2016 Dissertation directed by: Professor Lise Getoor Department of Computer Science In our ever-increasingly connected world, it is essential to build computational models that represent, reason, and model the underlying characteristics of real-world networks. Data genera...