The Non-Democratic Roots of Elite Capture: Evidence From Soeharto Mayors in Indonesia

Democracies widely differ in the extent to which powerful elites and interest groups retain influence over politics. While a large literature argues that elite capture is rooted in a country\u27s history, our understanding of the determinants of elite persistence is limited. In this paper, we show that allowing old-regime agents to remain in office during democratic transitions is a key determinant of the extent of elite capture. We exploit quasi-random from Indonesia: Soeharto-regime mayors were allowed to finish their terms before being replaced by new leaders. Since mayors\u27 political cycles were not synchronized, this event generated exogenous variation in how long old-regime mayors remained in their position during the democratic transition. Districts with longer exposure to old-regime mayors experience worse governance outcomes, higher elite persistence, and lower political competition in the medium run. The results suggest that slower transitions towards democracy allow the old-regime elites to capture democracy

Interprofessional Scenario-Based Learning for New Graduates in a Regional Setting: A Pilot Study

Introduction: Globally there is an increased emphasis on the provision of high quality healthcare and improved productivity under mounting financial constraints. Interprofessional collaboration and practice are considered crucial in promoting teamwork and optimising patient outcomes. However, there is a lack of structured, evaluated interprofessional learning opportunities for graduates in regional and rural health services in Australia. This pilot study reports on a novel interprofessional new graduate learning program that was developed and implemented to address the lack of structured post-qualification interprofessional learning opportunities in the Central Queensland Hospital and Health Service. Methods: Twenty-one participants enrolled in the six-month program, which consisted of six ninety-minute sessions. A mixed method exploratory design was used to collect data using the Interprofessional Socialization and Valuing Scale before and after the program, and a reflective summary at program completion. Results: Results indicated that participation in the program had a positive effect on participants’ attitudes, beliefs and behaviours regarding interprofessional practice as measured on the Interprofessional Socialization and Valuing Scale. Various themes about the usefulness of the program to participants were elicited from the reflective summary data. These included enhanced understanding of interprofessional practice, increased confidence in own professional role, improved understanding of the roles of other professions, increased collaboration with others, improved patient outcomes and improved networking with colleagues. Conclusions: It was concluded that the new graduate interprofessional learning program was a feasible and effective way to facilitate interprofessional learning among health graduates in a regional health service

Interprofessional competencies: the poor cousin to clinical skills?

The purpose of this paper is to clarify what work-based IPE is, challenge some common misconceptions about its values in clinical settings and highlight tools that will assist with its implementation in such settings.N/

Genomic insights and advanced machine learning: characterizing autism spectrum disorder biomarkers and genetic interactions

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by altered brain connectivity and function. In this study, we employed advanced bioinformatics and explainable AI to analyze gene expression associated with ASD, using data from five GEO datasets. Among 351 neurotypical controls and 358 individuals with autism, we identified 3,339 Differentially Expressed Genes (DEGs) with an adjusted p-value (≤ 0.05). A subsequent meta-analysis pinpointed 342 DEGs (adjusted p-value ≤ 0.001), including 19 upregulated and 10 down-regulated genes across all datasets. Shared genes, pathogenic single nucleotide polymorphisms (SNPs), chromosomal positions, and their impact on biological pathways were examined. We identified potential biomarkers (HOXB3, NR2F2, MAPK8IP3, PIGT, SEMA4D, and SSH1) through text mining, meriting further investigation. Additionally, ‎we shed light on the roles of RPS4Y1 and KDM5D genes in neurogenesis and neurodevelopment. Our analysis detected 1,286 SNPs linked to ASD-related conditions, of which 14 high-risk SNPs were located on chromosomes 10 and X. We highlighted potential missense SNPs associated with FGFR inhibitors, suggesting that it may serve as a promising biomarker for responsiveness to targeted therapies. Our explainable AI model identified the MID2 gene as a potential ASD biomarker. This research unveils vital genes and potential biomarkers, providing a foundation for novel gene discovery in complex diseases

Association of immune-related adverse events with the outcomes of immune checkpoint inhibitors in patients with dMMR/MSI-H metastatic colorectal cancer

Background: Immune checkpoint inhibitors (ICIs) show a tremendous activity in microsatellite instability-high (MSI-H) metastatic colorectal cancer (mCRC), but a consistent fraction of patients does not respond. Prognostic/predictive markers are needed. Despite previous investigations in other tumor types, immune-related adverse events (irAEs) have not been well evaluated in patients with MSI-H cancers treated with ICIs. Methods: We conducted an international cohort study at tertiary cancer centers collecting clinic-pathological features from 331 patients with MSI-H mCRC treated with ICIs. Of note, the irAEs were summarized using a 'burden score' constructed in a way that the same score value could be obtained by cumulating many low-grade irAEs or few high-grade irAEs; as a result, the lower the burden the better. Clearly, the irAE burden is not a baseline information, thus it was modeled as a time-dependent variable in univariable and multivariable Cox models. Results: Among 331 patients, irAEs were reported in 144 (43.5%) patients. After a median follow-up time of 29.7 months, patients with higher burden of skin, endocrine and musculoskeletal irAEs (the latter two's effect was confirmed at multivariable analysis) had longer overall survival (OS), as opposed to gastrointestinal, pneumonitis, neurological, liver, renal and other irAEs, which showed an harmful effect. Similar results were observed for progression-free survival (PFS). Based on the results retrieved from organ-specific irAEs, 'aggregated' burden scores were developed to distinguish 'protective' (endocrine and musculoskeletal) and 'harmful' (gastrointestinal, pneumonitis, neurological, hepatic) irAEs showing prognostic effects on OS and PFS. Conclusions: Our results demonstrate that not all irAEs could exert a protective effect on oncologic outcome. An easy-to-use model for ICIs toxicity (burden score of protective and harmful irAEs) may be used as surrogate marker of response

Twenty questions about design behavior for sustainability, report of the International Expert Panel on behavioral science for design

How behavioral scientists, engineers, and architects can work together to advance how we all understand and practice design—in order to enhance sustainability in the built environment, and beyond.https://www.nature.com/documents/design_behavior_for_sustainability.pdfPublished versio

Costs and health effects of screening and delivery of hearing aids in Tamil Nadu, India: an observational study

Contains fulltext : 79601.pdf (publisher's version ) (Open Access