The trade war with China has cost US producers and consumers hundreds of billions of dollars since 2018. Yet relatively few US businesses took action to oppose it. This study reports the results of an elite survey experiment on business political activity toward trade policy. Researchers presented business managers with information about the input costs of the new tariffs to their bottom line—information that most subjects acknowledged that they lacked—and invited them to take political action to express support or opposition to these tariffs. The results suggest that the novel information on economic costs did not significantly increase managers’ propensity to contact members of Congress, donate to political campaigns, sign petitions, or join social media groups. We also found that the firm’s political culture (liberal or conservative) did not significantly influence the effectiveness of the treatment. However, descriptive analysis showed that firm political culture was strongly related to the company’s support for the trade war, suggesting that these preexisting political beliefs were resistant to new information provided in our experiment even if that information could affect the company’s bottom line.

Marine aerosols can enter the terrestrial environment via sea spray which is known to affect the stable isotope fingerprint of coastal samples (plants, animals/humans), including δ13C. However, the impact of sea spray on 14C dating of terrestrial organisms at coastal sites has not been investigated so far. Besides a direct effect, sea spray is accompanied by physiological effects, e.g., due to salinity. In an artificial sea spray experiment in the greenhouse, the effect of sea spray on 14C in plant tissue was investigated. Beach grass was sprayed with mineral salt solutions containing only traces of NaCl or with brackish water from the Schlei inlet or the Baltic Sea. These plants should give a 14C signal close to the modern atmospheric 14CO2 composition. However, three treatment groups showed variable radiocarbon concentrations. Plants sprayed with water from the Schlei inlet, Baltic Sea water, or with a mineral salt solution with very high HCO3– concentration are depleted in 14C content relative to contemporary atmospheric composition. While δ13C reflects physiological effects in the plants, caused either by salinity (NaCl) or HCO3– stress, resulting in decreased discrimination against 13C, the uptake of high amounts of 14C (ca. 53–67%) from DIC (dissolved inorganic carbon) partly masks the underlying physiological reactions, as is visible in the radiocarbon signature of the plant tissues. This preliminary study indicates that sea spray effects on plant tissue could potentially influence faunal tissue 14C composition at coastal sites. Further research is required to better understand the observed reservoir effect.

Vaccination is one of the most cost-effective and successful public health interventions to prevent infectious diseases. Governments worldwide have tried to optimize vaccination coverage, including using vaccine mandates. This review of recent literature and policy aims to provide a comprehensive overview of Malaysia’s childhood vaccination landscape. The document analysis was used to identify and examine information from government policy documents, official government media statements, mainstream news content, and research papers. Content analysis was then employed to analyze the gathered information. Despite the successes of Malaysia’s National Immunization Programme, a resurgence of vaccine-preventable diseases has raised concerns about vaccine hesitancy and refusal. Several contributing factors have been identified, including a preference for alternative medicines, doubts about halal status, fear of vaccine injury, concerns about the vaccines’ contents, conspiracy theories, as well as convenience and access barriers. While various initiatives have been implemented, Malaysia may consider using vaccine mandates, as several countries have recently done, as a potential policy intervention to address these challenges. This review benefits policymakers, epidemiologists, as well as researchers involved in regional or global policy planning and advocacy efforts. It also offers comprehensive insights into designing effective interventions and making informed policy decisions regarding childhood vaccination programmes.

Psoriasis is a chronic immune-inflammatory skin disease. Cross-sectional research examining diet quality indices (DQIs) in psoriasis has focused on the Mediterranean diet and is confined to Mediterranean populations, thereby lacking generalisability to other populations. We explored associations between DQIs and the likelihood of reporting a higher psoriasis severity. This was an online cross-sectional study recruiting adult volunteers with psoriasis (n=257). A 147-item food frequency questionnaire evaluated adherence to the Mediterranean Diet Score (MDS), the Dietary Approaches to Stop Hypertension (DASH) score, and the Plant-based Diet Index (PDI); original (oPDI), healthy (hPDI), and unhealthy (uPDI) subtypes. Psoriasis severity was determined with the self-assessed Simplified Psoriasis Index. When adjusted for age, sex, smoking, alcohol over-consumption, energy intake, and psychological morbidity, multinomial logistic regression analyses revealed an increased likelihood of reporting a higher psoriasis severity in participants with a very low adherence to DASH OR = 3.75, 95% CI 1.313 – 10.700, P = 0.01), and hPDI (OR = 4.04, 95% CI 1.251 – 13.064, P = 0.02) patterns. A reduced likelihood of reporting a higher psoriasis severity was shown in participants with low adherence to the uPDI (OR = 0.25, 95% CI 0.085 – 0.716, P = 0.01). With further adjustment for body mass index (BMI), a very low adherence to the oPDI was significantly associated with an increased likelihood of reporting a higher psoriasis severity (OR = 3.46, 95% CI 1.029 – 11.656, P = 0.05). Dietary interventions and assessment should be introduced in the care-pathway for psoriasis management.

Novel methods of data collection and analysis can enhance traditional risk management practices that rely on expert engineering judgment and established safety records, specifically when key conditions are met: Analysis is linked to the decisions it is intended to support, standards and competencies remain up to date, and assurance and verification activities are performed. This article elaborates on these conditions. The reason engineers are required to perform calculations is to support decision-making. Since humans are famously weak natural statisticians, rather than ask stakeholders to implicitly assimilate data, and arrive at a decision, we can instead rely on subject matter experts to explicitly define risk management decision problems. The results of engineering calculation can then also communicate which interventions (if any) are considered to be risk-optimal. It is also proposed that the next generation of engineering standards should learn from the success of open source software development in community building. Interacting with open datasets and code can promote engagement, identification (and resolution) of errors, training and ultimately competence. Finally, the profession’s tradition of independent verification should also be applied to the complex models that will increasingly contribute to the safety of the built environment. Model assurance will be required to keep pace with model development to identify suitable use cases as adequately safe. These are considered to be increasingly important components in ensuring that methods of data-centric engineering can be safely and appropriately adopted in industry.

In this paper, we explore a non-cooperative optimal reinsurance problem incorporating likelihood ratio uncertainty, aiming to minimize the worst-case risk of the total retained loss for the insurer. We establish a general relation between the optimal reinsurance strategy under the reference probability measure and the strategy in the worst-case scenario. This relation can further be generalized to insurance design problems quantified by tail risk measures. We also characterize distortion risk measures for which the insurer’s optimal strategy remains the same in the worst-case scenario. As an application, we determine the optimal policies for the worst-case scenario using an expectile risk measure. Additionally, we propose and explore a cooperative problem, which can be viewed as a general risk sharing problem between two agents in a comonotonic market. We determine the risk measure value and the optimal reinsurance strategy in the worst-case scenario for the insurer and compare the results from the non-cooperative and cooperative models.

Giving twins similar names places them at increased risk for mixed credit reports as they enter young adulthood and beyond. Attorneys specializing in this area of the law are often required to manage lawsuits againt the agencies responsible for such errors. This overview is followed by summaries of twin research and reports of treating twins with central nervous system infection, twins with COVID-19, and twins with septal aneurism, as well as a review of the comparative outcomes of twins born via assisted reproduction versus natural conception and a tribute to the late Dr Helen E. Fisher. Human interest items include a twins’ rally for Israeli twins held hostage in Gaza, a tribute to the founding member of the National Mothers of Twins Clubs (now Multiples of America), a quadruplet birth, an identical twin politician, and identical twin actresses.