Improving Navy MPTE Studies with Model-Driven Big Data

The goal of this research was to improve upon the ability of OPNAV N1 analysts to quickly and efficiently obtain experiment-based information from their computational models. The enhanced information will enable N1’s analysts to better support Navy leadership in resource and policy decisions that shape the future Navy and help it retain and develop its most talented Sailors. This project built on previous collaborations with N1 using data farming to enhance the information gleaned from their Navy talent management models, such as the Officer Strategic Analysis Model (OSAM) model, the Production Resource Optimization (PRO) model, and the Navy Total Force Strength Model (NTFSM). During this research period, (1) Ensign William Desousa (2015) investigated the behavior of economic inputs in NTFSM; (2) Lieutenant Peter Bazalaki (2016) used the new data farming capabilities we developed in OSAM to investigate Surface Warfare Officer (SWO) inventory across a breadth of possibilities; and (3) Lieutenant Allison Hogarth (2016) built, tested, and demonstrated a user interface in Excel that enables users of the PRO model to automatically execute a sophisticated design of experiments—the tool that enables this new capability is known as Production Resource Optimization Model With Experimental Design (PROMWED). In addition to working with the student-officers, the faculty supporting this project performed an empirical study of statistical software packages that may provide better understanding of the high-dimensional behavior of manpower models in the future (Erickson, Ankenman, & Sanchez 2016).Naval Research ProgramPrepared for Topic Sponsor: OPNAV N1; Research POC Name: Mr. Ian AndersoNPS-N16-N154-

International genome-wide meta-analysis identifies new primary biliary cirrhosis risk loci and targetable pathogenic pathways.

Primary biliary cirrhosis (PBC) is a classical autoimmune liver disease for which effective immunomodulatory therapy is lacking. Here we perform meta-analyses of discovery data sets from genome-wide association studies of European subjects (n=2,764 cases and 10,475 controls) followed by validation genotyping in an independent cohort (n=3,716 cases and 4,261 controls). We discover and validate six previously unknown risk loci for PBC (Pcombined<5 × 10(-8)) and used pathway analysis to identify JAK-STAT/IL12/IL27 signalling and cytokine-cytokine pathways, for which relevant therapies exist

The Youth Anxiety Measure for DSM-5 (YAM-5):Development and First Psychometric Evidence of a New Scale for Assessing Anxiety Disorders Symptoms of Children and Adolescents

The Youth Anxiety Measure for DSM-5 (YAM-5) is a new self- and parent-report questionnaire to assess anxiety disorder symptoms in children and adolescents in terms of the contemporary classification system. International panels of childhood anxiety researchers and clinicians were used to construct a scale consisting of two parts: part one consists of 28 items and measures the major anxiety disorders including separation anxiety disorder, selective mutism, social anxiety disorder, panic disorder, and generalized anxiety disorder, whereas part two contains 22 items that focus on specific phobias and (given its overlap with situational phobias) agoraphobia. In general, the face validity of the new scale was good; most of its items were successfully linked to the intended anxiety disorders. Notable exceptions were the selective mutism items, which were frequently considered as symptoms of social anxiety disorder, and some specific phobia items especially of the natural environment, situational and other type, that were regularly assigned to an incorrect category. A preliminary investigation of the YAM-5 in non-clinical (N = 132) and clinically referred (N = 64) children and adolescents indicated that the measure was easy to complete by youngsters. In addition, support was found for the psychometric qualities of the measure: that is, the internal consistency was good for both parts, as well as for most of the subscales, the parent-child agreement appeared satisfactory, and there was also evidence for the validity of the scale. The YAM-5 holds promise as a tool for assessing anxiety disorder symptoms in children and adolescents

Improving Navy MPTE Studies with Model-Driven Big Data

he Navy uses complex models to help manage its human capital. These models assist Navy leadership in understanding the potential impacts and risks of changes to force structure, policies, and the economy on its future personnel. Many of these models contain a large number of input variables, some of which are uncertain. They also generate an enormous amount of output data. This project is assessing the feasibility and benefits of data farming with these models—that is, embedding a chosen N1 manpower, personnel, training, and education (MPTE) tool in an environment that enables efficiently running and analyzing designed experiments over a breadth of input variables, thereby creating model-driven big data. This will enable N1 to better understand and utilize its complex models to support resource and policy decisions that create and shape the future Navy. For 2015 research, the chosen model is the Officer Strategic Analysis Model (OSAM). We are investigating the possible use of the Navy Total Force Strength Model (NTFSM) for 2016 research.Naval Research ProgramPrepared for: OPNAV N1, Mr. Ilia Christman, Mr. Wayne Wagner, and LCDR Will Corle

Gene expression analysis of a new source of human oocytes and embryos for research and human embryonic stem cell derivation

OBJECTIVE To create developmentally competent embryos from failed-to-fertilize oocytes for use in infertility research and human embryonic stem cell derivation. DESIGN Attempts to recover developmental potential of failed-to-fertilize oocytes were made by using either parthenogenetic activation or reinsemination by intracytoplasmic sperm injection. Resulting embryos were cultured to various stages up to and including blastocyst, and single embryos exhibiting normal development were analyzed for gene expression by quantitatively profiling representative transcripts. SETTING Hospital-based assisted reproductive technology laboratory and University academic laboratories. PATIENT(S) One hundred sixty-five couples undergoing assisted fertility treatment. INTERVENTION(S) Metaphase II stage oocytes were either parthenogenetically activated or reinseminated with donor sperm, then allowed to develop up to and including the blastocyst stage. MAIN OUTCOME MEASURE(S) Gene expression analysis was performed on oocytes and embryos by quantitative reverse transcriptase-polymerase chain reaction for markers of developmental competence. RESULT(S) Fertilization occurred in 65% of the activated or reinseminated oocytes, which resulted in a blastocyst formation rate of 8%. Evaluation of a number of developmentally important genes in those embryos exhibiting normal development revealed profile and levels of expression similar to control embryos. One blastocyst from an activated oocyte yielded a novel pluripotent stem cell line indistinguishable from those derived from embryos surplus to infertility treatment. CONCLUSION(S) Clinically unusable oocytes represent a valuable alternative source of normal human embryos for human infertility and stem cell research without conflicting with patient treatment