The American Independent Institute is a nonprofit organization which funds liberal investigative journalism efforts. According to the organization, its aim is to support journalism which exposes "the nexus of conservative power in Washington." The current institute, started by David Brock in 2014, is a relaunch of the former state-based digital news-gathering network known as the American Independent News Network.
This paper investigates how the 2021-2022 European energy crisis, a major macro-financial shock, affected the relative valuation of energy-efficient homes in Norway. Leveraging the country's electricity market-characterized by five distinct regions with varying exposure to European power prices-we analyze how energy price shocks influence housing market dynamics with a triple difference-in-differences regression framework. We find that home prices fell significantly in regions affected by the shock, with average value losses ranging from 1.2% to 3.6%. Energy-efficient homes experienced smaller price declines, particularly in the single-family home segment, indicating a differential price response during the shock. Moreover, the negative price effects persist despite the introduction of electricity price subsidies. These findings highlight the complex relations among energy costs, real estate market valuations, and housing characteristic heterogeneity by offering generalizable insights into the resilience of housing markets to unanticipated shocks and the role of policy interventions in mitigating their effects.
Wireless sensor networks (WSNs), increasingly deployed in sensitive environments like environmental monitoring and defense systems, are vulnerable to both accidental failures and intentional attacks. Existing anomaly detection methods-particularly those based on fixed statistical models or machine learning (ML)-often fall short in dynamic network settings where topological structure changes rapidly. Unlike prior work that primarily applied persistent homology (PH) to static graphs or coverage-hole detection, this article introduces a dynamic, topology-aware anomaly detection framework that continuously tracks the evolution of Betti numbers in WSNs. By monitoring shifts in both connected components (Betti-0) and cycle structures (Betti-1), the method identifies anomalies caused by node or link disruptions. The novelty lies in employing temporal Betti number variations as lightweight, training-free indicators of network integrity, enabling early detection of both benign failures and malicious intrusions. The approach was evaluated using MATLAB simulations across dense and sparse topologies under multiple node failure scenarios. Results showed a detection rate (DR) of 95.4%, a false positive rate (FPR) of 3.2%, and an overall accuracy of 96.8%, consistently outperforming statistical and learning-based baselines in dynamic WSN conditions.
Implementation of co-produced training and resources can improve the experience and safety of autistic children in a paediatric emergency department.
BACKGROUND:People who gamble experience elevated rates of suicidal thoughts and behaviours. Longitudinal studies have been scarce, and none has focused on those who regularly gamble in the UK. AIMS:To examine the relationship between specific products and locations of gambling activity (and their combinations) and risk of subsequent suicidal thoughts. METHOD:We analysed a UK longitudinal survey of 3927 adults (18 years old or over) who regularly bet on sports. Data were collected online between June and November 2020. Latent class analysis was used to identify groups of people with similar gambling profiles on the basis of 13 types of gambling activity. Weighted group characteristics are presented. Regression modelling was used to test associations between gambling groups and suicidal thoughts, adjusting for baseline characteristics. RESULTS:Five distinct groups were identified. One group (5.6% of the sample) reported multiple types of both in-person and online gambling. This group was the most likely to use electronic gambling machines. After adjustment for baseline suicidal thoughts, this group had significantly higher odds of subsequent suicidal thoughts (adjusted odds ratio 3.42; 95% CI: 1.18-9.89) than other groups. CONCLUSIONS:Although many profiles of gambling activity present suicide risk, some types present greater risk. National Institute for Health and Care Excellence guidelines recommend enquiry in primary care settings about gambling behaviours. Our findings suggest that clinicians should consider asking questions on mode (online or in-person) and product (especially electronic gambling machines) to identify those at heightened risk of suicidal ideation. Gambling should also be considered routinely in psychosocial assessments across clinical settings and incorporated into suicide prevention campaigns.
