Procrastination pervades the long and taxing process of foreign language learning and working against it is crucial. This study attempted to elicit and investigate the strategies and solutions from English teachers and learners which can help in dealing with procrastination over weekly assignments, term projects, and preparing for exams. To achieve this aim, suggestions were sought from 46 Engl...

In evidence theory, basic probability assignment plays an important role. The is usually provided by experts. evaluation of dependability till open issue, when preliminary data unavailable. this paper, we propose a new method to evaluate on the stimulus neutrosophic set. was evaluated based truth degree between Basic Probability Assignments (BPAs). First, assignments were revamp By similarity s...

In the weighted voting protocol which is used to maintain the consistency of replicated data, the availability of the data to read and write operations not only depends on the availability of the nodes storing the data but also on the vote and quorum assignments used. We consider the problem of determining the vote and quorum assignments that yield the best permormance in a distributed system w...

Parentage analysis in natural populations is a powerful tool for addressing a wide range of ecological and evolutionary questions. However, identifying parent-offspring pairs in samples collected from natural populations is often more challenging than simply resolving the Mendelian pattern of shared alleles. For example, large numbers of pairwise comparisons and limited numbers of genetic marke...

To identify novel dynamic patterns of gene expression, we develop a statistical method to cluster noisy measurements of gene expression collected from multiple replicates at multiple time points, with an unknown number of clusters. We propose a random-effects mixture model coupled with a Dirichlet-process prior for clustering. The mixture model formulation allows for probabilistic cluster assig...

To identify novel dynamic patterns of gene expression, we develop a statistical method to cluster noisy measurements of gene expression collected from multiple replicates at multiple time points, with an unknown number of clusters. We propose a random-effects mixture model coupled with a Dirichlet-process prior for clustering. The mixture model formulation allows for probabilistic cluster assig...

We investigate the potential of using ordinal peer grading for the evaluation of students in massive online open courses (MOOCs). According to such grading schemes, each student receives a few assignments (by other students) which she has to rank. Then, a global ranking (possibly translated into numerical scores) is produced by combining the individual ones. This is a novel application area for...

During the COVID-19 pandemic, there were alarming reports of children missing out on online special educational activities due to a lack access those resources. We evaluated simple intervention using concurrent multiple baseline design for three second-grade students with disabilities who unreliably accessed remote curriculum. The dependent variable was number daily assignments completed. basel...

This study explored the lived experiences of elementary teachers with multiple ancillary functions and how they are coping their assignments. A qualitative-transcendental phenomenology method research was utilized, informants were selected using a purposive sampling technique. Findings revealed such as time management, work stress, teacher productivity. Meanwhile, in terms cope challenges havin...