Motivation: A stepwise structural equation modeling algorithm (SSEM) has been developed to infer genetic networks from time course microarray data. Besides observed variables, SSEM also incorporates hidden variables in order to depict regulations from proteins and other molecules that are not measured by microarrays. SSEM can learn the structure of a genetic network from microarray data. We hav...

The purpose of this study was to investigate the convergent and discriminant validity of the Student School Engagement Measure (SSEM) with 3 other measures of student well-being: (a) the School Engagement Scale, (b) the Student Engagement Instrument, and (c) the Student Life Satisfaction Survey. The data were analyzed from 370 8th-grade students from 3 middle schools in an urban school district...

There is a dropout epidemic in the United States. In the US, 25% of high school students do not graduate on time. For Latinos, the number is worse, with only 64% graduating from high school. Current research is clear that 9 th grade is a critical year for keeping students in school. Students that earn all their credits for their core classes in 9 th grade are more likely to graduate than studen...

The alignment of serial-section electron microscopy (ssEM) images is critical for efforts in neuroscience that seek to reconstruct neuronal circuits. However, each ssEM plane contains densely packed structures that vary from one section to the next, which makes matching features across images a challenge. Advances in deep learning has resulted in unprecedented performance in similar computer vi...

This paper presents a methodological framework to identify populationwide traveler type distribution and simultaneously infer individual travelers’ Origin-Destination (OD) pairs, based on the individual records of a shared mobility (bike) system use in a multimodal travel environment. Given the information about the travelers’ outbound and inbound bike stations under varied price settings, the ...

Sustainability analysis, or triple bottom line analysis, is increasingly recognized as a holistic approach when all the three pillars of sustainability (environmental, economic and social aspects) are equally incorporated into the decision-making process of a project. Currently, the tools for assessing the environmental and economic impacts are well established. On the contrary, the development...

Because dendritic spines are the sites of excitatory synapses, pathological changes in spine morphology should be considered as part of pathological changes in neuronal circuitry in the forms of synaptic connections and connectivity strength. In the past, spine pathology has usually been measured by changes in their number or shape. A more complete understanding of spine pathology requires visu...

Study designs involving clustering in some study arms, but not all study arms, are common in clinical treatment-outcome and educational settings. For instance, in a treatment arm, persons may be nested in therapy groups, whereas in a control arm there are no groups. Methodological approaches for handling such partially nested designs have recently been developed in a multilevel modeling framewo...

Microand nanoscale chemical and structural heterogeneities, whether they are intrinsic material properties like grain boundaries or intentionally encoded via nanoscale fabrication techniques, pose a challenge to current material characterization methods. To precisely interrogate the electronic structure of these complex materials systems, spectroscopic techniques with high spatial resolution ar...

BACKGROUND Testicular tumors are the most common genital neoplasms in male dogs, with Leydig cell tumors (LCT), seminomas (SEM), and Sertoli cell tumors (SCT) the most common forms. Human SEM are classified as classical (CSEM) or spermatocytic (SSEM). Intratubular germ cell neoplasia of undifferentiated origin (IGCNU) is another form of human testicular tumor. The aim of this study was to verif...