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Identifying Behavioral Severity Trends and Intervention Targets in Autism Care
No full textThis project analyzed behavioral severity scores of adolescents with Autism Spectrum Disorder (ASD) as part of the Coordinated Care Project led by HANDS in Autism®, in partnership with NDI and Damar Services. Using Python and Power BI, the practicum examined pre-admission and post-discharge data to assess the impact of evidence-based interventions. Results indicated a reduction in average behavioral severity scores from 6 to 4.3 over six months post-discharge. Correlation analysis revealed strong behavior clusters, particularly around self-care tasks like getting dressed and bathing, highlighting them as critical targets for intervention. Through statistical testing and interactive dashboard development, this project supported data-informed decision-making and strengthened the intern’s skills in behavioral health analytics, interdisciplinary research, and clinical outcome evaluation
Changes in Health Information Exchange Use Behavior After Introduction of a Fast Healthcare Interoperability Resources (FHIR) Application
No full textThe aim of our study was to characterize emergency department clinicians' health information exchange (HIE) use patterns after the implementation of a Fast Healthcare Interoperability Resources (FHIR) application. Using longitudinal electronic health record log data, we categorized HIE use behavior as: no HIE use (0), Web-based viewer use only (1), FHIR application use only (2), or Web-based viewer and FHIR application use (3). We sequenced HIE use behavior from September 2019 to February 2023, then employed hierarchical agglomerative clustering to identify clinician characteristics associated with each HIE use pattern. Our results showed four usage patterns representing (1) clinicians who "lagged" in HIE use and continued as sporadic HIE users (n=66, 46.1%), (2) "late adopters" who had more consistent usage over time (n=32, 22.4%), (3) "legacy users" whose preferred modality was the Web-based viewer (n=25, 17.5%), and (4) "mixed modality users" who displayed frequent changes in HIE access modality (n=20, 14.0%)
Behavioral and Developmental Effects of Lead Acetate Exposure in Embryonic Zebrafish
No full textIUIDespite lead’s ban several decades ago, it remains a public health threat due to its persistent nature. Zebrafish are highly effective for modeling several disorders, particularly those affecting neurological and cognitive functions, and are well-suited for assessing the impact of environmental toxins like lead. This study aimed to investigate the behavioral and developmental effects of embryonic lead exposure using the zebrafish (AB strain) model system. Embryos were exposed to lead acetate (PbAc) at concentrations ranging from 0.3 to 0.7 µg/ml using an exposure window of 6 to 48 hours postfertilization. Lead acetate exposure induced dose-dependent teratogenic effects, such as spinal kinks, spinal curvatures, beaky mouths and uninflated swim bladder. Behavioral assessments conducted at 3- and 7-days post fertilization (dpf) revealed significant behavioral alterations. At 3 dpf, spontaneous circle swimming behavior suspected to be seizure-like was observed in lead-exposed group and was more pronounced under light conditions in a dose-dependent manner. A calcium biosensor assay validated this seizure-like behavior, revealing a general increase in fluorescence intensities in lead-treated groups compared to controls. Electrophysiological recordings confirmed that larvae exhibiting circle swimming behavior had heightened neural activity, indicating a potential seizure-like phenotype driven by lead exposure. At 7 dpf optomotor response assay, suggested altered response in the optomotor response of lead-exposed larvae and light/ dark locomotor testing showed reduced motor activity levels, particularly in the dark. Thigmotaxis assays did not show any significance in anxiety-like behaviors between control and lead treated groups. Overall, our findings suggest that early-life lead exposure leads to morphological defects, behavioral alterations and seizure susceptibility, enhancing our understanding of lead’s neurotoxic potential during early development
Philanthropy in Kuwait
No full textThe primary objective of this report that is based upon a nationally representative survey (n = 821) was to obtain information on charitable giving and volunteering patterns in Kuwait. The survey questionnaire included a demographic section followed by questions relating to charitable giving, zakat, volunteering, waqfs, and NG0s
John W. Blassingame, the Frederick Douglass Papers, and Academic Politics at Yale University in the 1990s
No full textHepatoprotective action of Sonchus oleraceus against paracetamol-induced toxicity via Nrf2/KEAP-1/HO-1 pathway in relation to its metabolite fingerprint and in silico studies
No full textBackground: Paracetamol overdose causes severe hepatotoxicity. Sonchus oleraceus is traditionally used to treat liver disorders, but its potential against paracetamol-induced liver injury is unexplored. This work aimed to investigate the protective mechanisms of an S. oleraceus extract (SOEtOH) using in vivo, histological and biochemical assessments along with metabolomics profiling and in silico studies, including molecular docking and dynamic simulations (MD).
Methods and findings: SOEtOH was administered to rats with paracetamol-induced hepatotoxicity at 50, 100, and 200 mg/kg doses. Serum enzymes, hepatic antioxidants, and histopathology were evaluated. UPLC-MS characterized bioactive metabolites and molecular docking and assessed their anti-inflammatory potential. SOEtOH significantly restored serum ALT and AST toward normal levels in a dose-dependent manner. It also replenished depleted hepatic glutathione (up to 3.9-fold) and superoxide dismutase (up to 4.7-fold). Immunohistochemistry revealed SOEtOH progressively attenuated caspase-3 expression related to apoptosis. It also ameliorated characteristic histopathological alterations like necrosis, inflammation, and sinusoidal congestion. Thirty-two bioactive metabolites, including flavonoids, phenolic acids, and terpenes, were identified. Molecular docking revealed potent anti-inflammatory effects via JNK inhibition, with luteolin-O-dihexoside, isorhamnetin-O-hexoside, di-O-caffeoylquinic, and kaempferol-O-hexoside having the strongest binding affinities. MD simulations demonstrated that these compounds' complexes significantly contribute to JNK1 and JNK2's catalytic binding site.
Conclusion: This integrated study demonstrates that SOEtOH protects against paracetamol hepatotoxicity by mitigating oxidative stress and inhibiting pro-inflammatory/apoptotic signaling. Our results reveal therapeutic lead compounds that may be further explored for clinical applications
2026 Indiana Dentist License Renewal Information Fields
No full textThis document outlines the data fields included in the 2026 Indiana Dentist license renewal survey. It collects information on demographics, education, training, employment status, practice settings, service delivery, Medicaid participation, and telehealth usage. The survey also captures details about primary and secondary practice locations, hours worked, and populations served. Designed to inform workforce planning and public health policy, the survey supports a data-driven understanding of dental practice across Indiana
Leveraging transcription factor physical proximity for enhancing gene regulation inference
No full textMotivation: Gene regulation inference, a key challenge in systems biology, is crucial for understanding cell function, as it governs processes such as differentiation, cell state maintenance, signal transduction, and stress response. Leading methods utilize gene expression, chromatin accessibility, transcription factor (TF) DNA binding motifs, and prior knowledge. However, they overlook the fact that TFs must be in physical proximity to facilitate transcriptional gene regulation.
Results: To fill the gap, we develop GRIP-Gene Regulation Inference by considering TF Proximity-a gene regulation inference method that directly considers the physical proximity between regulating TFs. Specifically, we use the distance in a protein-protein interaction (PPI) network to estimate the physical proximity between TFs. We design a novel Boolean convex program, which can identify TFs that not only can explain the gene expression of target genes (TGs) but also stay close in the PPI network. We propose an efficient algorithm to solve the Boolean relaxation of the proposed model with a theoretical tightness guarantee. We compare our GRIP with state-of-the-art methods (SCENIC+, DirectNet, Pando, and CellOracle) on inferring cell-type-specific (CD4, CD8, and CD 14) gene regulation using the PBMC 3k scMultiome-seq data and demonstrate its out-performance in terms of the predictive power of the inferred TFs, the physical distance between the inferred TFs, and the agreement between the inferred gene regulation and PCHiC data.
Availability and implementation: https://github.com/EJIUB/GRIP
Acute alcohol in prefrontal cortex is characterized by enhanced inhibition that transitions to excitation
No full textAcute alcohol can have profound effects on the brain and behavior. Dorsal medial prefrontal cortex (dmPFC) function is especially sensitive to disruption from acute alcohol exposure. The acute, broadly inhibitory pharmacodynamics of alcohol in dmPFC have been well characterized in in vitro and ex vivo preparations, but seemingly contradict the stimulatory behavioral effects of alcohol at low-to-moderate doses. To determine the effects of acute alcohol on dmPFC activity, this study combined multiple routes of alcohol exposure across multiple rodent species and preparations and utilized modeling techniques to make direct predictions about brain ethanol concentrations. These findings revealed that the acute effects of alcohol on dmPFC are actually biphasic in nature, such that broad reductions in activity are immediately followed by broad increases in neural activity. Notably, these increases in neural activity were only observed in in vivo preparations, suggesting that network engagement and exposure route may be critical