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Students who do not file the free application for federal student aid (FAFSA), or who file after the priority application deadline, are at risk of not receiving grant aid that could help them persist and graduate from college. This study used data from the beginning postsecondary student study (BPS:04/06) to examine FAFSA filing behavior (i.e. early, late, did not file) among students attending community colleges, public 4-year, and private non-profit 4-year institutions. Results indicate that later filers, on average, receive less total state and institutional grant aid compared to students who filed earlier. Attending college part-time and delaying enrollment into college after high school were strongly associated with not filing a FAFSA and filing late. There were notable differences in FAFSA filing across institutional sectors as a function of students' gender, race/ethnicity, income status, high school context, and pre-college academic experiences. These findings serve as the basis for recommendations aimed at increasing the rates of early FAFSA filing among students at the greatest risk of leaving money on the table.

Excessive course dropping is costly to students and institutions. Using longitudinal transcript data, this study investigated course withdrawal patterns among 5900 students at a large, racially/ethnically diverse community college district in Texas. Two-thirds of the students dropped at least one course, and 13.5% of the total course enrollments resulted in withdrawal. Course withdrawal rates were significantly higher among students who were: male, African American, age 20-24, GED holders, academically underprepared, enrolled part-time, and had a cumulative college GPA of less than 2.0. Science, mathematics, and writing courses had high drop rates, as did Second Start and fully online courses. Dropping 20% or more of attempted courses was associated with 44% lower odds of a successful enrollment outcome. We hypothesize that community college students are rational, act in their own self-interest, and perform a cost-benefit analysis with the knowledge they possess when deciding whether to drop a particular course. However, students often overuse or misuse the course withdrawal function. Despite acting in self-interest at the moment, the decision to drop a course is often not in students' long-term best interest, and excessive course dropping can resemble a 'cooling out' mechanism by which students' reduce their aspirations toward degree completion. Recognizing community college structures and rules (e.g., withdrawal procedures, tuition refund policy) influence course dropping decisions, we describe academic policies and classroom practices that can help reduce course withdrawals. We believe that reducing course attrition is a foundational, yet often overlooked, mechanism for reducing community college attrition.

In 2007-2008, approximately 42% of community college students who were eligible to receive Pell grant funding did not file the Free Application for Federal Student Aid (FAFSA). Using data from the Beginning Postsecondary Student Study, this study examined the relationship between FAFSA filing status and persistence from the fall to spring semesters among first-year community college students. Results indicate that when controlling for other relevant predictors of persistence, filing a FAFSA was associated with higher odds of within-year persistence among all students and was particularly strong for the restricted sample of students enrolled part time. The implications of these findings are discussed in light of the national completion agenda and recent calls to improve the utilization of financial aid among community college students.

There are ambitious institutional and national goals that aspire to improve the six year graduation rate for undergraduate students. An important element of increasing the overall rate lies in decreasing the educational attainment gaps for low-income, first generation, and other historically underserved students. Comprehensive theoretical approaches to student success show that campuses have the opportunity to influence these achievement gaps with intentional and integrated programming and policy; however, the first step of initiating campus changes is to understand how the longitudinal nature of enrollment varies for demographically different students. This study utilizes a competing risk event history analysis on six cohorts of Colorado State University (CSU) fall-start freshmen over eight academic years in order to describe their dropout and graduation trajectories across a variety of demographic and academic preparation variables. Results indicate that all students have the highest hazard of graduation at year five and the greatest dropout hazard at year one; however, the shapes of these hazards are different based on a student's demographic characteristics. Students with high risk characteristics have much lower graduation hazards after year five and much higher dropout hazards after year one when compared to their low risk peers. Thus, findings from this analysis indicate that high risk students at CSU need to be directed on educational paths that keep them on track to graduate in five years and that these students may also need continued retention support during their second and third years.

T1w/T2w ratio mapping, combining voxel-wise signal intensities in T1-weighted (T1w) and T2-weighted (T2w) structural MRI, has been used to investigate cortical architecture in the brain, but has also shown promise in tissue discrimination, even in tumor tissue. Given this, we investigate whether the inclusion of these established T1w/T2w ratio maps, or a similar T1w - T2w combined map, can improve performance on a novel task; automated segmentation of tumor tissue in pediatric brain tumor cases from the BraTS-PED 2024 dataset. Using the BraTS-PED 2024 dataset (n = 261 pediatric brain tumor patients), we trained and evaluated (with a five-fold cross validation approach) segmentation performance across tumor subregions with nnU-Net, a state-of-the-art deep learning framework. Multiple model configurations were compared; a) a standard baseline model using typical multiparametric MRI (mpMRI, including T1w, T2w, FLAIR and contrast-enhanced T1w MRI) as input modalities and b) an experimental configuration using standard mpMRI inputs plus a T1w/T2w ratio map. Performance was assessed using Dice scores and statistical comparisons with Bonferroni correction to assess he direct 'added benefit' of the T1w/T2w ratio maps. Inclusion of T1w/T2w ratio or the combined maps did not significantly improve segmentation accuracy across any tumor subregion. While minor increases in ET segmentation were observed with the ratio map, these were not statistically significant. Combined maps showed marginal improvements in ET and NET segmentation but reduced performance in CC and ED regions. Overall, we demonstrate that T1w/T2w ratio maps do not improve deep learning models for segmenting pediatric brain tumor subregions using nnU-Net, despite their strong biophysical basis for tissue discrimination. T hese findings suggest that such data augmentation strategies may not provide added value and highlight the importance of rigorous validation in medical imaging research.

To identify changes in skeletal muscle microRNA expression after endurance exercise and associate the identified microRNAs with mRNA and protein expression to disease-specific pathways in polymyositis (PM) and dermatomyositis (DM) patients. Following a parallel clinical trial design, patients with probable PM or DM, exercising less than once a week, and on stable medication for at least one month were randomized into two groups at Karolinska University Hospital: a 12-week endurance exercise group (n = 12) or a non-exercised control group (n = 11). Using an Affymetrix microarray, microRNA expression was determined in paired muscle biopsies taken before and after the exercise intervention from 3 patients in each group. Ingenuity pathway analysis with a microRNA target filter was used to identify microRNA transcript targets. These targets were investigated at the mRNA (microarray) and protein (mass spectrometry) levels in patients. Endurance exercise altered 39 microRNAs. The microRNAs with increased expression were predicted to target transcripts involved in inflammatory processes, metabolism, and muscle atrophy. Further, these target transcripts had an associated decrease in mRNA expression in exercised patients. In particular, a decrease in the NF-κB regulator IKBKB was associated with an increase in its target microRNA (miR-196b). At the protein level, there was an increase in mitochondrial proteins (AK3, HIBADH), which were associated with a decrease in microRNAs that were predicted to regulate their expression. Improvement in disease phenotype after exercise is associated with increasing microRNAs that target and downregulate immune processes at the transcript level, as well as decreasing microRNAs that target and upregulate mitochondrial content at the protein level. Therefore, microRNAs may improve disease by decreasing immune responses and increasing mitochondrial biogenesis. ClinicalTrials.gov NCT01184625.

Brain tumors represent the highest cause of mortality in the pediatric oncological population. Diagnosis is commonly performed with magnetic resonance imaging. Survival biomarkers are challenging to identify due to the relatively low numbers of individual tumor types. 69 children with biopsy-confirmed brain tumors were recruited into this study. All participants had perfusion and diffusion weighted imaging performed at diagnosis. Imaging data were processed using conventional methods, and a Bayesian survival analysis performed. Unsupervised and supervised machine learning were performed with the survival features, to determine novel sub-groups related to survival. Sub-group analysis was undertaken to understand differences in imaging features. Survival analysis showed that a combination of diffusion and perfusion imaging were able to determine two novel sub-groups of brain tumors with different survival characteristics (p < 0.01), which were subsequently classified with high accuracy (98%) by a neural network. Analysis of high-grade tumors showed a marked difference in survival (p = 0.029) between the two clusters with high risk and low risk imaging features. This study has developed a novel model of survival for pediatric brain tumors. Tumor perfusion plays a key role in determining survival and should be considered as a high priority for future imaging protocols.

During January 28-May 5, 2019, a meningitis outbreak caused by Neisseria meningitidis serogroup C (NmC) occurred in Burkina Faso. Demographic and laboratory data for meningitis cases were collected through national case-based surveillance. Cerebrospinal fluid was collected and tested by culture and real-time PCR. Among 301 suspected cases reported in 6 districts, N. meningitidis was the primary pathogen detected; 103 cases were serogroup C and 13 were serogroup X. Whole-genome sequencing revealed that 18 cerebrospinal fluid specimens tested positive for NmC sequence type (ST) 10217 within clonal complex 10217, an ST responsible for large epidemics in Niger and Nigeria. Expansion of NmC ST10217 into Burkina Faso, continued NmC outbreaks in the meningitis belt of Africa since 2019, and ongoing circulation of N. meningitidis serogroup X in the region underscore the urgent need to use multivalent conjugate vaccines in regional mass vaccination campaigns to reduce further spread of those serogroups.

IntroductionWe have previously demonstrated that a pathologic downregulation of peroxisome proliferator-activated receptor–gamma coactivator 1-alpha (PGC1α) within the intestinal epithelium contributes to the pathogenesis of inflammatory bowel disease (IBD). However, the mechanism underlying downregulation of PGC1α expression and activity during IBD is not yet clear.MethodsMice (male; C57Bl/6, Villincre /+; Pgc1afl/fl mice, and Pgc1afl/fl ) were subjected to experimental colitis and treated with nicotinamide riboside. Western blot, high-resolution respirometry, nicotinamide adenine dinucleotide (NAD+) quantification, and immunoprecipitation were used to in this study.ResultsWe demonstrate a significant depletion in the NAD+ levels within the intestinal epithelium of mice undergoing experimental colitis, as well as humans with ulcerative colitis. While we found no decrease in the levels of NAD+-synthesizing enzymes within the intestinal epithelium of mice undergoing experimental colitis, we did find an increase in the mRNA level, as well as the enzymatic activity, of the NAD+-consuming enzyme poly(ADP-ribose) polymerase-1 (PARP1). Treatment of mice undergoing experimental colitis with an NAD+ precursor reduced the severity of colitis, restored mitochondrial function, and increased active PGC1α levels; however, NAD+ repletion did not benefit transgenic mice that lack PGC1α within the intestinal epithelium, suggesting that the therapeutic effects require an intact PGC1α axis.DiscussionOur results emphasize the importance of PGC1α expression to both mitochondrial health and homeostasis within the intestinal epithelium and suggest a novel therapeutic approach for disease management. These findings also provide a mechanistic basis for clinical trials of nicotinamide riboside in IBD patients.

Abstract Background Treponemal immunoassays are increasingly used for syphilis screening with the reverse sequence algorithm. There are few data describing performance of treponemal immunoassays compared to traditional treponemal tests in patients with and without syphilis. Methods We calculated sensitivity and specificity of 7 treponemal assays: (1) ADVIA Centaur (chemiluminescence immunoassay [CIA]); (2) Bioplex 2200 (microbead immunoassay); (3) fluorescent treponemal antibody absorption test (FTA-ABS); (4) INNO-LIA (line immunoassay); (5) LIAISON CIA; (6) Treponema pallidum particle agglutination assay (TPPA); and (7) Trep-Sure (enzyme immunoassay [EIA]), using a reference standard combining clinical diagnosis and serology results. Sera were collected between May 2012-January 2013. Cases were characterized as: (1) current clinical diagnosis of syphilis: primary, secondary, early latent, late latent; (2) prior treated syphilis only; (3) no evidence of current syphilis, no prior history of syphilis, and at least 4 of 7 treponemal tests negative. Results Among 959 participants, 262 had current syphilis, 294 had prior syphilis, and 403 did not have syphilis. FTA-ABS was less sensitive for primary syphilis (78.2%) than the immunoassays or TPPA (94.5%-96.4%) (all P ≤ .01). All immunoassays were 100% sensitive for secondary syphilis, 95.2%-100% sensitive for early latent disease, and 86.8%-98.5% sensitive in late latent disease. TPPA had 100% specificity. Conclusions Treponemal immunoassays demonstrated excellent sensitivity for secondary, early latent, and seropositive primary syphilis. Sensitivity of FTA-ABS in primary syphilis was poor. Given its high specificity and superior sensitivity, TPPA is preferred to adjudicate discordant results with the reverse sequence algorithm over the FTA-ABS. We compared performance of 5 treponemal immunoassays, the Treponema pallidum particle agglutination assay (TPPA), and the fluorescent treponemal antibody absorption test (FTA-ABS). FTA-ABS was less sensitive for primary syphilis (78%) than the immunoassays or TPPA (94%-96% sensitivity). TPPA was 100% specific.